{ "cells": [ { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "\n", "\"Open " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# AFNI Preprocessing and GLM\n", "\n", "Author: Monika Doerig\n", "\n", "Citation:\n", "\n", "__Andy's Brain Book__:\n", "\n", "- This AFNI example is based on the [AFNI Tutorial: Statistics and Modeling](https://andysbrainbook.readthedocs.io/en/latest/AFNI/AFNI_Short_Course/AFNI_05_1stLevelAnalysis.html) from Andy’s Brain Book (Jahn, 2022. [doi:10.5281/zenodo.5879293](https://zenodo.org/records/5879294))\n", "\n", "__Data from OpenNeuro:__ Flanker Dataset\n", "- Kelly AMC and Uddin LQ and Biswal BB and Castellanos FX and Milham MP (2018). Flanker task (event-related). [OpenNeuro Dataset ds000102](https://openneuro.org/datasets/ds000102/versions/00001/). [Dataset] doi: null\n", "- Kelly AM, Uddin LQ, Biswal BB, Castellanos FX, Milham MP. Competition between functional brain networks mediates behavioral variability. Neuroimage. 2008 Jan 1;39(1):527-37. doi: [10.1016/j.neuroimage.2007.08.008](https://doi.org/10.1016/j.neuroimage.2007.08.008). Epub 2007 Aug 23. PMID: 17919929.\n", "- Mennes, M., Kelly, C., Zuo, X.N., Di Martino, A., Biswal, B.B., Castellanos, F.X., Milham, M.P. (2010). Inter-individual differences in resting-state functional connectivity predict task-induced BOLD activity. Neuroimage, 50(4):1690-701. doi: [10.1016/j.neuroimage.2010.01.002](https://doi.org/10.1016/j.neuroimage.2010.01.002). Epub 2010 Jan 15. Erratum in: Neuroimage. 2011 Mar 1;55(1):434\n", "- Mennes, M., Zuo, X.N., Kelly, C., Di Martino, A., Zang, Y.F., Biswal, B., Castellanos, F.X., Milham, M.P. (2011). Linking inter-individual differences in neural activation and behavior to intrinsic brain dynamics. Neuroimage, 54(4):2950-9. doi: [10.1016/j.neuroimage.2010.10.046](https://doi.org/10.1016/j.neuroimage.2010.10.046)\n" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## Setup Neurodesk" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [], "vscode": { "languageId": "plaintext" } }, "outputs": [], "source": [ "%%capture\n", "import os\n", "import sys\n", "IN_COLAB = 'google.colab' in sys.modules\n", "\n", "if IN_COLAB:\n", " os.environ[\"LD_PRELOAD\"] = \"\";\n", " os.environ[\"APPTAINER_BINDPATH\"] = \"/content,/tmp,/cvmfs\"\n", " os.environ[\"MPLCONFIGDIR\"] = \"/content/matplotlib-mpldir\"\n", " os.environ[\"LMOD_CMD\"] = \"/usr/share/lmod/lmod/libexec/lmod\"\n", "\n", " !curl -J -O https://raw.githubusercontent.com/NeuroDesk/neurocommand/main/googlecolab_setup.sh\n", " !chmod +x googlecolab_setup.sh\n", " !./googlecolab_setup.sh\n", "\n", " os.environ[\"MODULEPATH\"] = ':'.join(map(str, list(map(lambda x: os.path.join(os.path.abspath('/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/'), x),os.listdir('/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/')))))" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "vendor_id\t: GenuineIntel\n", "model name\t: Intel(R) Xeon(R) Gold 6126 CPU @ 2.60GHz\n" ] } ], "source": [ "# Output CPU information:\n", "!cat /proc/cpuinfo | grep 'vendor' | uniq\n", "!cat /proc/cpuinfo | grep 'model name' | uniq" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### Load packages" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "['afni/21.2.00']" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import lmod\n", "await lmod.load('afni/21.2.00')\n", "await lmod.list()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Install tcsh" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "scroll-ouput" ] }, "outputs": [], "source": [ "%%capture\n", "!sudo apt update; sudo apt install tcsh" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check the installation:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "hello from tcsh\n" ] } ], "source": [ "%%script tcsh\n", "set var = \"hello from tcsh\"\n", "echo $var" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### Import Python Modules" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "import os\n", "import nibabel as nib\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import matplotlib\n", "from IPython.display import display, Image\n", "from nilearn import plotting\n", "from scipy.stats import t" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## Data download" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "editable": true, "scrolled": true, "slideshow": { "slide_type": "" }, "tags": [ "scroll-output" ], "vscode": { "languageId": "plaintext" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cloning: 0%| | 0.00/2.00 [00:00 \u001b[00m../../.git/annex/objects/Q4/jv/MD5E-s14180--3addf0456b803b7c5ec5147481ecdd62.csv/MD5E-s14180--3addf0456b803b7c5ec5147481ecdd62.csv\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_group.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/6m/q9/MD5E-s98927--d11151f65ae061833e7fd4373adfec3f.pdf/MD5E-s98927--d11151f65ae061833e7fd4373adfec3f.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-01.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/K3/7x/MD5E-s2747349--5d40f2a54fb4194ac4a79f0295ff51c0.pdf/MD5E-s2747349--5d40f2a54fb4194ac4a79f0295ff51c0.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-02.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/Kx/Kv/MD5E-s2803965--56f6b768362bd9b7f0ef501b8cb6dde6.pdf/MD5E-s2803965--56f6b768362bd9b7f0ef501b8cb6dde6.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-03.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/kx/g5/MD5E-s2809843--e90d7a4859ed4be986b55e23f93ca89d.pdf/MD5E-s2809843--e90d7a4859ed4be986b55e23f93ca89d.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-04.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/JK/Zm/MD5E-s2846770--4869146771178dbb01ac79b95b35a8a1.pdf/MD5E-s2846770--4869146771178dbb01ac79b95b35a8a1.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-05.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/zm/FG/MD5E-s2824086--fda634d34556c83005a5eb2ca8c498dd.pdf/MD5E-s2824086--fda634d34556c83005a5eb2ca8c498dd.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-06.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/92/q0/MD5E-s2798058--fdddf0aff1eca8f61ed7c8b04ada9735.pdf/MD5E-s2798058--fdddf0aff1eca8f61ed7c8b04ada9735.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-07.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/39/3K/MD5E-s2795270--29ce2e2352596df940e5f3fae45b5a38.pdf/MD5E-s2795270--29ce2e2352596df940e5f3fae45b5a38.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-08.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/Fx/F4/MD5E-s2727492--b55dad8ffe22fc035110ecf4119d2960.pdf/MD5E-s2727492--b55dad8ffe22fc035110ecf4119d2960.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-09.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/4M/pz/MD5E-s2887144--28ea830af2a4d741147d18ea9c7fda84.pdf/MD5E-s2887144--28ea830af2a4d741147d18ea9c7fda84.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-10.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/0z/Vw/MD5E-s2874045--6542a57a9fc58f97f2a03c2384663c62.pdf/MD5E-s2874045--6542a57a9fc58f97f2a03c2384663c62.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-11.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/wm/76/MD5E-s2781221--1071b83e3c1b4532879521c37c3329da.pdf/MD5E-s2781221--1071b83e3c1b4532879521c37c3329da.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-12.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/GF/19/MD5E-s2817233--bfd24ca3274fa5efd654e2afd927f9ef.pdf/MD5E-s2817233--bfd24ca3274fa5efd654e2afd927f9ef.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-13.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/9Q/X2/MD5E-s2796088--ed299ab7e1662cb03aa01299eed2602b.pdf/MD5E-s2796088--ed299ab7e1662cb03aa01299eed2602b.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-14.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/Wg/55/MD5E-s2558074--cadc9bd81856dcd02677de84e7e6ca90.pdf/MD5E-s2558074--cadc9bd81856dcd02677de84e7e6ca90.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-15.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/43/Q3/MD5E-s2847293--0c678a4b309d055ad9ba4ba25b77351b.pdf/MD5E-s2847293--0c678a4b309d055ad9ba4ba25b77351b.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-16.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/xq/qj/MD5E-s2890454--87c62253c1711f30d53c41b3ac38dc66.pdf/MD5E-s2890454--87c62253c1711f30d53c41b3ac38dc66.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-17.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/zK/M1/MD5E-s2825765--0a91015e22836a3076641b963e1ccfc6.pdf/MD5E-s2825765--0a91015e22836a3076641b963e1ccfc6.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-18.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/w2/Vk/MD5E-s2821624--1d9a3f0b21ce1f9a3b490d44d36f1f11.pdf/MD5E-s2821624--1d9a3f0b21ce1f9a3b490d44d36f1f11.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-19.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/J2/Jq/MD5E-s2453814--533411f3353cb3fa0264485e81f3fcf6.pdf/MD5E-s2453814--533411f3353cb3fa0264485e81f3fcf6.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-20.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/MF/9X/MD5E-s2881144--176c560778c55db87e8468b3246d373c.pdf/MD5E-s2881144--176c560778c55db87e8468b3246d373c.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-21.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/XQ/p1/MD5E-s2330589--b7546dfe5fb43a974cd23111b860c493.pdf/MD5E-s2330589--b7546dfe5fb43a974cd23111b860c493.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-22.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/Fx/k8/MD5E-s2505165--55f0661ad209b742c517cc5b5469436a.pdf/MD5E-s2505165--55f0661ad209b742c517cc5b5469436a.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-23.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/qj/8K/MD5E-s2784018--7e8697a7d4601547a899a27af132166d.pdf/MD5E-s2784018--7e8697a7d4601547a899a27af132166d.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-24.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/G8/Kw/MD5E-s2828817--e86be931adef2a7b0297d557d827d629.pdf/MD5E-s2828817--e86be931adef2a7b0297d557d827d629.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-25.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/XG/kg/MD5E-s2447908--3d392b9d27929dc4146d2b47be16e8dc.pdf/MD5E-s2447908--3d392b9d27929dc4146d2b47be16e8dc.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01manatomical_sub-26.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/8P/42/MD5E-s2850007--6d2f87a305b30d5704aaf4be9b8ff1e6.pdf/MD5E-s2850007--6d2f87a305b30d5704aaf4be9b8ff1e6.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfMRIQC.csv\u001b[0m -> \u001b[00m../../.git/annex/objects/2Z/Ff/MD5E-s21038--cbe73db3db1beb0a1977583cff2a724b.csv/MD5E-s21038--cbe73db3db1beb0a1977583cff2a724b.csv\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_group.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/Kq/xg/MD5E-s90712--7058c3db328fecb86303bc27a9ef0110.pdf/MD5E-s90712--7058c3db328fecb86303bc27a9ef0110.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-01.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/k2/vQ/MD5E-s1157925--e055f942b72b9aabad7a5e3d7b25b201.pdf/MD5E-s1157925--e055f942b72b9aabad7a5e3d7b25b201.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-02.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/X3/X6/MD5E-s1235840--cb32b7f8f1274af250b4f0fc15dacecb.pdf/MD5E-s1235840--cb32b7f8f1274af250b4f0fc15dacecb.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-03.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/Vp/0x/MD5E-s1228507--73ab1cc4cb27712892fcb10a0853ba7c.pdf/MD5E-s1228507--73ab1cc4cb27712892fcb10a0853ba7c.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-04.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/xk/jz/MD5E-s1252659--8ae6d1b02767c1ddb72dd7e6afefe696.pdf/MD5E-s1252659--8ae6d1b02767c1ddb72dd7e6afefe696.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-05.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/Zm/VJ/MD5E-s1258815--dd043691d548a501dd63d1aaf420e43c.pdf/MD5E-s1258815--dd043691d548a501dd63d1aaf420e43c.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-06.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/M5/gq/MD5E-s1247345--9c06bc69792b812ab8deffb01c6656c2.pdf/MD5E-s1247345--9c06bc69792b812ab8deffb01c6656c2.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-07.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/25/35/MD5E-s1229731--99cc64e99df0025ccb0341cd0dcf688b.pdf/MD5E-s1229731--99cc64e99df0025ccb0341cd0dcf688b.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-08.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/MX/vQ/MD5E-s1222308--e13c56f17109d3f142c9c4db60fea674.pdf/MD5E-s1222308--e13c56f17109d3f142c9c4db60fea674.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-09.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/90/0F/MD5E-s1265097--41a69211a0569413917ce3825eac95d6.pdf/MD5E-s1265097--41a69211a0569413917ce3825eac95d6.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-10.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/FZ/gq/MD5E-s1299358--12ccfc4a5f52b077b99481fe25aa8ef1.pdf/MD5E-s1299358--12ccfc4a5f52b077b99481fe25aa8ef1.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-11.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/MJ/mQ/MD5E-s1166014--3465ef6b18514d3cd361c0bffe2b73fc.pdf/MD5E-s1166014--3465ef6b18514d3cd361c0bffe2b73fc.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-12.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/xp/1f/MD5E-s1177325--6fe4937d5aa567fb5b3c3977362fc9af.pdf/MD5E-s1177325--6fe4937d5aa567fb5b3c3977362fc9af.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-13.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/4g/vW/MD5E-s1178873--96f341322d21e2bdeb709edc5b047df0.pdf/MD5E-s1178873--96f341322d21e2bdeb709edc5b047df0.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-14.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/5p/6X/MD5E-s1206987--729f64cf514c9103556c53ccb5430bc4.pdf/MD5E-s1206987--729f64cf514c9103556c53ccb5430bc4.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-15.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/m1/k9/MD5E-s1223617--9239a1c2d968ed18093b69d28fd9e654.pdf/MD5E-s1223617--9239a1c2d968ed18093b69d28fd9e654.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-16.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/jq/wP/MD5E-s1294856--5eb7ec97924a22c7e68fd95373694e7e.pdf/MD5E-s1294856--5eb7ec97924a22c7e68fd95373694e7e.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-17.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/0m/3Q/MD5E-s1238563--129db424a50b7889278024828c08c736.pdf/MD5E-s1238563--129db424a50b7889278024828c08c736.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-18.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/VF/Fm/MD5E-s1197868--3b23e8d53b11d98d49b1adf62ff559df.pdf/MD5E-s1197868--3b23e8d53b11d98d49b1adf62ff559df.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-19.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/Jj/m8/MD5E-s1164028--aea7dfa78e9be2e83a9b313f2ebdc4bd.pdf/MD5E-s1164028--aea7dfa78e9be2e83a9b313f2ebdc4bd.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-20.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/x1/ZQ/MD5E-s1292308--8869b1b640797a2be2aa03be69b89840.pdf/MD5E-s1292308--8869b1b640797a2be2aa03be69b89840.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-21.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/MG/zW/MD5E-s1216271--3d5c5ca0f8f4ba06b3289e197a40defd.pdf/MD5E-s1216271--3d5c5ca0f8f4ba06b3289e197a40defd.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-22.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/5m/pj/MD5E-s1142289--4f9e57d8bfe3d39881c43b959189d69f.pdf/MD5E-s1142289--4f9e57d8bfe3d39881c43b959189d69f.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-23.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/m7/Z2/MD5E-s1233046--7758914aecbf2b5d01cd0825952609be.pdf/MD5E-s1233046--7758914aecbf2b5d01cd0825952609be.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-24.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/mz/5m/MD5E-s1265224--c188bd88fc1c99308389f528ea4df71e.pdf/MD5E-s1265224--c188bd88fc1c99308389f528ea4df71e.pdf\u001b[0m\n", "│   ├── \u001b[40;31;01mfunctional_sub-25.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/Mk/G6/MD5E-s1260984--1b16abcbbf55ccc7763f1d704d76628f.pdf/MD5E-s1260984--1b16abcbbf55ccc7763f1d704d76628f.pdf\u001b[0m\n", "│   └── \u001b[40;31;01mfunctional_sub-26.pdf\u001b[0m -> \u001b[00m../../.git/annex/objects/1m/zq/MD5E-s1285726--6838f727d5c4b5593a7b5e0e6b20483a.pdf/MD5E-s1285726--6838f727d5c4b5593a7b5e0e6b20483a.pdf\u001b[0m\n", "├── \u001b[00mparticipants.tsv\u001b[0m\n", "├── \u001b[01;34msub-01\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-01_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Pf/6k/MD5E-s10581116--757e697a01eeea5c97a7d6fbc7153373.nii.gz/MD5E-s10581116--757e697a01eeea5c97a7d6fbc7153373.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-01_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/5m/w9/MD5E-s28061534--8e8c44ff53f9b5d46f2caae5916fa4ef.nii.gz/MD5E-s28061534--8e8c44ff53f9b5d46f2caae5916fa4ef.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-01_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-01_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/2F/58/MD5E-s28143286--f0bcf782c3688e2cf7149b4665949484.nii.gz/MD5E-s28143286--f0bcf782c3688e2cf7149b4665949484.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-01_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-02\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-02_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/3m/FF/MD5E-s10737123--cbd4181ee26559e8ec0a441fa2f834a7.nii.gz/MD5E-s10737123--cbd4181ee26559e8ec0a441fa2f834a7.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-02_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/8v/2j/MD5E-s29188378--80050f0deb13562c24f2fc23f8d095bd.nii.gz/MD5E-s29188378--80050f0deb13562c24f2fc23f8d095bd.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-02_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-02_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/fM/Kw/MD5E-s29193540--cc013f2d7d148b448edca8aada349d02.nii.gz/MD5E-s29193540--cc013f2d7d148b448edca8aada349d02.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-02_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-03\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-03_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/7W/9z/MD5E-s10707026--8f1858934cc7c7457e3a4a71cc2131fc.nii.gz/MD5E-s10707026--8f1858934cc7c7457e3a4a71cc2131fc.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-03_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/q6/kF/MD5E-s28755729--b19466702eee6b9385bd6e19e362f94c.nii.gz/MD5E-s28755729--b19466702eee6b9385bd6e19e362f94c.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-03_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-03_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/zV/K1/MD5E-s28782544--8d9700a435d08c90f0c1d534efdc8b69.nii.gz/MD5E-s28782544--8d9700a435d08c90f0c1d534efdc8b69.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-03_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-04\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-04_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/FW/14/MD5E-s10738444--2a9a2ba4ea7d2324c84bf5a2882f196c.nii.gz/MD5E-s10738444--2a9a2ba4ea7d2324c84bf5a2882f196c.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-04_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/9Z/0Q/MD5E-s29062799--27171406951ea275cb5857ea0dc32345.nii.gz/MD5E-s29062799--27171406951ea275cb5857ea0dc32345.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-04_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-04_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/FW/FZ/MD5E-s29071279--f89b61fe3ebab26df1374f2564bd95c2.nii.gz/MD5E-s29071279--f89b61fe3ebab26df1374f2564bd95c2.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-04_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-05\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-05_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/k2/Kj/MD5E-s10753867--c4b5788da5f4c627f0f5862da5f46c35.nii.gz/MD5E-s10753867--c4b5788da5f4c627f0f5862da5f46c35.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-05_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/VZ/z5/MD5E-s29667270--0ce9ac78b6aa9a77fc94c655a6ff5a06.nii.gz/MD5E-s29667270--0ce9ac78b6aa9a77fc94c655a6ff5a06.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-05_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-05_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/z7/MP/MD5E-s29660544--752750dabb21e2cf28e87d1d550a71b9.nii.gz/MD5E-s29660544--752750dabb21e2cf28e87d1d550a71b9.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-05_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-06\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-06_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/5w/G0/MD5E-s10620585--1132eab3830fe59b8a10b6582bb49004.nii.gz/MD5E-s10620585--1132eab3830fe59b8a10b6582bb49004.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-06_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/3x/qj/MD5E-s29386982--e671c0c647ce7d0d4596e35b702ee970.nii.gz/MD5E-s29386982--e671c0c647ce7d0d4596e35b702ee970.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-06_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-06_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/9j/6P/MD5E-s29379265--e513a2746d2b5c603f96044cf48c557c.nii.gz/MD5E-s29379265--e513a2746d2b5c603f96044cf48c557c.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-06_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-07\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-07_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/08/fF/MD5E-s10718092--38481fbc489dfb1ec4b174b57591a074.nii.gz/MD5E-s10718092--38481fbc489dfb1ec4b174b57591a074.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-07_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/z1/7W/MD5E-s28946009--5baf7a314874b280543fc0f91f2731af.nii.gz/MD5E-s28946009--5baf7a314874b280543fc0f91f2731af.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-07_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-07_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Jf/W7/MD5E-s28960603--682e13963bfc49cc6ae05e9ba5c62619.nii.gz/MD5E-s28960603--682e13963bfc49cc6ae05e9ba5c62619.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-07_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-08\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[01;36msub-08_T1w.nii.gz\u001b[0m -> \u001b[01;31m../../.git/annex/objects/mw/MM/MD5E-s10561256--b94dddd8dc1c146aa8cd97f8d9994146.nii.gz/MD5E-s10561256--b94dddd8dc1c146aa8cd97f8d9994146.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[01;36msub-08_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[01;31m../../.git/annex/objects/zX/v9/MD5E-s28641609--47314e6d1a14b8545686110b5b67f8b8.nii.gz/MD5E-s28641609--47314e6d1a14b8545686110b5b67f8b8.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-08_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[01;36msub-08_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[01;31m../../.git/annex/objects/WZ/F0/MD5E-s28636310--4535bf26281e1c5556ad0d3468e7fe4e.nii.gz/MD5E-s28636310--4535bf26281e1c5556ad0d3468e7fe4e.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-08_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-09\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-09_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/QJ/ZZ/MD5E-s10775967--e6a18e64bc0a6b17254a9564cf9b8f82.nii.gz/MD5E-s10775967--e6a18e64bc0a6b17254a9564cf9b8f82.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-09_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/k9/1X/MD5E-s29200533--59e86a903e0ab3d1d320c794ba1f0777.nii.gz/MD5E-s29200533--59e86a903e0ab3d1d320c794ba1f0777.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-09_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-09_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/W3/94/MD5E-s29223017--7f3fb9e260d3bd28e29b0b586ce4c344.nii.gz/MD5E-s29223017--7f3fb9e260d3bd28e29b0b586ce4c344.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-09_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-10\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-10_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/5F/3f/MD5E-s10750712--bde2309077bffe22cb65e42ebdce5bfa.nii.gz/MD5E-s10750712--bde2309077bffe22cb65e42ebdce5bfa.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-10_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/3p/qp/MD5E-s29732696--339715d5cec387f4d44dfe94f304a429.nii.gz/MD5E-s29732696--339715d5cec387f4d44dfe94f304a429.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-10_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-10_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/11/Zx/MD5E-s29724034--16f2bf452524a315182f188becc1866d.nii.gz/MD5E-s29724034--16f2bf452524a315182f188becc1866d.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-10_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-11\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-11_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/kj/xX/MD5E-s10534963--9e5bff7ec0b5df2850e1d05b1af281ba.nii.gz/MD5E-s10534963--9e5bff7ec0b5df2850e1d05b1af281ba.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-11_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/35/fk/MD5E-s28226875--d5012074c2c7a0a394861b010bcf9a8f.nii.gz/MD5E-s28226875--d5012074c2c7a0a394861b010bcf9a8f.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-11_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-11_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/j7/ff/MD5E-s28198976--c0a64e3b549568c44bb40b1588027c9a.nii.gz/MD5E-s28198976--c0a64e3b549568c44bb40b1588027c9a.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-11_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-12\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-12_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/kx/2F/MD5E-s10550168--a7f651adc817b6678148b575654532a4.nii.gz/MD5E-s10550168--a7f651adc817b6678148b575654532a4.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-12_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/M0/fX/MD5E-s28403807--f1c3eb2e519020f4315a696ea845fc01.nii.gz/MD5E-s28403807--f1c3eb2e519020f4315a696ea845fc01.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-12_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-12_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/vW/V0/MD5E-s28424992--8740628349be3c056a0411bf4a852b25.nii.gz/MD5E-s28424992--8740628349be3c056a0411bf4a852b25.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-12_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-13\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-13_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/wM/Xw/MD5E-s10609761--440413c3251d182086105649164222c6.nii.gz/MD5E-s10609761--440413c3251d182086105649164222c6.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-13_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/mf/M4/MD5E-s28180916--aa35f4ad0cf630d6396a8a2dd1f3dda6.nii.gz/MD5E-s28180916--aa35f4ad0cf630d6396a8a2dd1f3dda6.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-13_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-13_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/XP/76/MD5E-s28202786--8caf1ac548c87b2b35f85e8ae2bf72c1.nii.gz/MD5E-s28202786--8caf1ac548c87b2b35f85e8ae2bf72c1.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-13_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-14\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-14_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Zw/0z/MD5E-s9223596--33abfb5da565f3487e3a7aebc15f940c.nii.gz/MD5E-s9223596--33abfb5da565f3487e3a7aebc15f940c.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-14_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Jp/29/MD5E-s29001492--250f1e4daa9be1d95e06af0d56629cc9.nii.gz/MD5E-s29001492--250f1e4daa9be1d95e06af0d56629cc9.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-14_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-14_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/PK/V2/MD5E-s29068193--5621a3b0af8132c509420b4ad9aaf8fb.nii.gz/MD5E-s29068193--5621a3b0af8132c509420b4ad9aaf8fb.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-14_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-15\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-15_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Mz/qq/MD5E-s10752891--ddd2622f115ec0d29a0c7ab2366f6f95.nii.gz/MD5E-s10752891--ddd2622f115ec0d29a0c7ab2366f6f95.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-15_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/08/JJ/MD5E-s28285239--feda22c4526af1910fcee58d4c42f07e.nii.gz/MD5E-s28285239--feda22c4526af1910fcee58d4c42f07e.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-15_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-15_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/9f/0W/MD5E-s28289760--433000a1def662e72d8433dba151c61b.nii.gz/MD5E-s28289760--433000a1def662e72d8433dba151c61b.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-15_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-16\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-16_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/4g/8k/MD5E-s10927450--a196f7075c793328dd6ff3cebf36ea6b.nii.gz/MD5E-s10927450--a196f7075c793328dd6ff3cebf36ea6b.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-16_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/9z/g2/MD5E-s29757991--1a1648b2fa6cc74e31c94f109d8137ba.nii.gz/MD5E-s29757991--1a1648b2fa6cc74e31c94f109d8137ba.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-16_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-16_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/k8/4F/MD5E-s29773832--fe08739ea816254395b985ee704aaa99.nii.gz/MD5E-s29773832--fe08739ea816254395b985ee704aaa99.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-16_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-17\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-17_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/jQ/MQ/MD5E-s10826014--8e2a6b062df4d1c4327802f2b905ef36.nii.gz/MD5E-s10826014--8e2a6b062df4d1c4327802f2b905ef36.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-17_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Wz/2P/MD5E-s28991563--9845f461a017a39d1f6e18baaa0c9c41.nii.gz/MD5E-s28991563--9845f461a017a39d1f6e18baaa0c9c41.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-17_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-17_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/jF/3m/MD5E-s29057821--84ccc041163bcc5b3a9443951e2a5a78.nii.gz/MD5E-s29057821--84ccc041163bcc5b3a9443951e2a5a78.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-17_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-18\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-18_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/3v/pK/MD5E-s10571510--6fc4b5792bc50ea4d14eb5247676fafe.nii.gz/MD5E-s10571510--6fc4b5792bc50ea4d14eb5247676fafe.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-18_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/94/P2/MD5E-s28185776--5b3879ec6fc4bbe1e48efc64984f88cf.nii.gz/MD5E-s28185776--5b3879ec6fc4bbe1e48efc64984f88cf.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-18_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-18_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/qp/6K/MD5E-s28234699--58019d798a133e5d7806569374dd8160.nii.gz/MD5E-s28234699--58019d798a133e5d7806569374dd8160.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-18_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-19\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-19_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Zw/p8/MD5E-s8861893--d338005753d8af3f3d7bd8dc293e2a97.nii.gz/MD5E-s8861893--d338005753d8af3f3d7bd8dc293e2a97.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-19_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/04/k6/MD5E-s28178448--3874e748258cf19aa69a05a7c37ad137.nii.gz/MD5E-s28178448--3874e748258cf19aa69a05a7c37ad137.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-19_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-19_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/mz/P4/MD5E-s28190932--91e6b3e4318ca28f01de8cb967cf8421.nii.gz/MD5E-s28190932--91e6b3e4318ca28f01de8cb967cf8421.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-19_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-20\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-20_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/g1/FF/MD5E-s11025608--5929806a7aa5720fc755687e1450b06c.nii.gz/MD5E-s11025608--5929806a7aa5720fc755687e1450b06c.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-20_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/v5/ZJ/MD5E-s29931631--bf9abb057367ce66961f0b7913e8e707.nii.gz/MD5E-s29931631--bf9abb057367ce66961f0b7913e8e707.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-20_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-20_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/J3/KW/MD5E-s29945590--96cfd5b77cd096f6c6a3530015fea32d.nii.gz/MD5E-s29945590--96cfd5b77cd096f6c6a3530015fea32d.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-20_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-21\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-21_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/K6/6K/MD5E-s8662805--77b262ddd929fa08d78591bfbe558ac6.nii.gz/MD5E-s8662805--77b262ddd929fa08d78591bfbe558ac6.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-21_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Wz/p9/MD5E-s28756041--9ae556d4e3042532d25af5dc4ab31840.nii.gz/MD5E-s28756041--9ae556d4e3042532d25af5dc4ab31840.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-21_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-21_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/xF/M3/MD5E-s28758438--81866411fc6b6333ec382a20ff0be718.nii.gz/MD5E-s28758438--81866411fc6b6333ec382a20ff0be718.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-21_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-22\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-22_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/JG/ZV/MD5E-s9282392--9e7296a6a5b68df46b77836182b6681a.nii.gz/MD5E-s9282392--9e7296a6a5b68df46b77836182b6681a.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-22_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/qW/Gw/MD5E-s28002098--c6bea10177a38667ceea3261a642b3c6.nii.gz/MD5E-s28002098--c6bea10177a38667ceea3261a642b3c6.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-22_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-22_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/VX/Zj/MD5E-s28027568--b34d0df9ad62485aba25296939429885.nii.gz/MD5E-s28027568--b34d0df9ad62485aba25296939429885.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-22_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-23\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-23_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/4Z/4x/MD5E-s10626062--db5a6ba6730b319c6425f2e847ce9b14.nii.gz/MD5E-s10626062--db5a6ba6730b319c6425f2e847ce9b14.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-23_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/VK/8F/MD5E-s28965005--4a9a96d9322563510ca14439e7fd6cea.nii.gz/MD5E-s28965005--4a9a96d9322563510ca14439e7fd6cea.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-23_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-23_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/56/20/MD5E-s29050413--753b0d2c23c4af6592501219c2e2c6bd.nii.gz/MD5E-s29050413--753b0d2c23c4af6592501219c2e2c6bd.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-23_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-24\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-24_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/jQ/fV/MD5E-s10739691--458f0046eff18ee8c43456637766a819.nii.gz/MD5E-s10739691--458f0046eff18ee8c43456637766a819.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-24_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/km/fV/MD5E-s29354610--29ebfa60e52d49f7dac6814cb5fdc2bc.nii.gz/MD5E-s29354610--29ebfa60e52d49f7dac6814cb5fdc2bc.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-24_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-24_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Wj/KK/MD5E-s29423307--fedaa1d7c6e34420735bb3bbe5a2fe38.nii.gz/MD5E-s29423307--fedaa1d7c6e34420735bb3bbe5a2fe38.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-24_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-25\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-25_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Gk/FQ/MD5E-s8998578--f560d832f13e757b485c16d570bf6ebc.nii.gz/MD5E-s8998578--f560d832f13e757b485c16d570bf6ebc.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-25_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/XW/1v/MD5E-s29473003--49b04e7e4b450ec5ef93ff02d4158775.nii.gz/MD5E-s29473003--49b04e7e4b450ec5ef93ff02d4158775.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-25_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-25_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/Qm/M7/MD5E-s29460132--b0e9039e9f33510631f229c8c2193285.nii.gz/MD5E-s29460132--b0e9039e9f33510631f229c8c2193285.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-25_task-flanker_run-2_events.tsv\u001b[0m\n", "├── \u001b[01;34msub-26\u001b[0m\n", "│   ├── \u001b[01;34manat\u001b[0m\n", "│   │   └── \u001b[40;31;01msub-26_T1w.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/kf/9F/MD5E-s10850250--5f103b2660f488e4afa193f9307c1291.nii.gz/MD5E-s10850250--5f103b2660f488e4afa193f9307c1291.nii.gz\u001b[0m\n", "│   └── \u001b[01;34mfunc\u001b[0m\n", "│   ├── \u001b[40;31;01msub-26_task-flanker_run-1_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/QV/10/MD5E-s30127491--8e30aa4bbfcc461bac8598bf621283c5.nii.gz/MD5E-s30127491--8e30aa4bbfcc461bac8598bf621283c5.nii.gz\u001b[0m\n", "│   ├── \u001b[00msub-26_task-flanker_run-1_events.tsv\u001b[0m\n", "│   ├── \u001b[40;31;01msub-26_task-flanker_run-2_bold.nii.gz\u001b[0m -> \u001b[00m../../.git/annex/objects/3G/Q6/MD5E-s30162480--80fd132e7cb1600ab248249e78f6f1aa.nii.gz/MD5E-s30162480--80fd132e7cb1600ab248249e78f6f1aa.nii.gz\u001b[0m\n", "│   └── \u001b[00msub-26_task-flanker_run-2_events.tsv\u001b[0m\n", "└── \u001b[00mtask-flanker_bold.json\u001b[0m\n", "\n", "80 directories, 192 files\n" ] } ], "source": [ "!tree -L 4 ds000102" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Create timing files\n", "To model brain activity during different conditions of the Flanker task, we first need to create timing files based on the experimental events. These files capture when each trial occurred, how long it lasted, and whether any parametric modulation should be applied. This information is stored in each subject's events.tsv file. We will extract the relevant details—condition name, onset, and duration—and convert them into AFNI’s timing file format. For each condition (congruent and incongruent), we will generate timing files for both runs, then combine them into condition-specific .1D files. These timing files will later be used in the GLM (general linear model) to estimate brain responses to each condition.\n", "\n", "To automate this process, we will download a Bash script called make_Timings.sh from Andy’s [AFNI_Scripts repository](https://github.com/andrewjahn/AFNI_Scripts/blob/master/make_Timings.sh). This script should be placed in the experimental folder containing the subject directories (in our case, the ds000102/ folder). " ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--2025-05-01 05:26:07-- https://raw.githubusercontent.com/andrewjahn/AFNI_Scripts/master/make_Timings.sh\n", "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.110.133, 185.199.108.133, ...\n", "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 953 [text/plain]\n", "Saving to: ‘ds000102/make_Timings.sh’\n", "\n", "ds000102/make_Timin 100%[===================>] 953 --.-KB/s in 0s \n", "\n", "2025-05-01 05:26:07 (70.9 MB/s) - ‘ds000102/make_Timings.sh’ saved [953/953]\n", "\n" ] } ], "source": [ "!wget -O ds000102/make_Timings.sh https://raw.githubusercontent.com/andrewjahn/AFNI_Scripts/master/make_Timings.sh" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "####\n", "Once the script is downloaded into the ```ds000102/``` folder, we can execute it directly from the notebook. The command below does three things:\n", "\n", "1. ```cd ds000102``` changes into the experimental directory that contains the subject folders.\n", "\n", "2. ```chmod +x make_Timings.sh``` makes the script executable.\n", "\n", "3. ```bash make_Timings.sh``` runs the script.\n", "\n", "After running this command, you should see new timing files (e.g., ```congruent.1D```, ```incongruent.1D```) inside each subject’s func/ directory. These files are now ready to be used in the first-level GLM analysis." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", " \n", " !\n", " Note:\n", "
\n", "

\n", " You may see a SyntaxWarning from AFNI’s internal Python scripts when running this command — this can be safely ignored and does not affect the output.\n", "

\n", "
" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "editable": true, "scrolled": true, "slideshow": { "slide_type": "" }, "tags": [ "scroll-output" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n" ] } ], "source": [ "!cd ds000102 && chmod +x make_Timings.sh && bash make_Timings.sh" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check the output:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 10 20 52 88 130 144 174 248 260 274 \n", "0 10 52 64 88 150 164 174 196 232 260 \n" ] } ], "source": [ "!cat ds000102/sub-08/func/incongruent.1D" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## Running Preprocessing and First Level Analysis for sub-08" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "All of the preprocessing steps (from setup through scaling) for subject ```sub-08``` were introduced and explained in the example notebook about *Preprocessing with AFNI*- which is highly inspired by [Andy's Brain Book’s excellent AFNI tutorial](https://andysbrainbook.readthedocs.io/en/latest/AFNI/AFNI_Short_Course/AFNI_04_Preprocessing.html).\n", "There, it is covered how to use```afni_proc.py``` to generate an automated pipeline, and how to interpret each preprocessing block. In this section, we extend that workflow by adding a ```regress``` block to model task-related brain activity using a general linear model (GLM):\n", "\n", "
\n", "Preprocessing and GLM Workflow:

\n", "➡️ setup ➡️ tcat ➡️ align ➡️ tlrc ➡️ volreg ➡️ blur ➡️ mask ➡️ scale ➡️ regress 🧠

\n", " \n", "✅ outputs: includes fitted time series, beta weights, and statistical maps from the GLM.
\n", " \n", "🧾 regress step: Incorporates timing files, HRF modeling (GAM), symbolic GLTs, and executes 3dREMLfit for improved autocorrelation modeling.\n", "
" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "editable": true, "scrolled": true, "slideshow": { "slide_type": "" }, "tags": [ "scroll-output" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "-- applying input view as +orig\n", "-- will use min outlier volume as motion base\n", "-- tcat: reps is now 146\n", "++ updating polort to 2, from run len 292.0 s\n", "-- volreg: using base dset vr_base_min_outlier+orig\n", "++ volreg: applying volreg/epi2anat/tlrc xforms to isotropic 3 mm tlrc voxels\n", "-- applying anat warps to 1 dataset(s): sub-08_T1w\n", "-- masking: group anat = 'MNI_avg152T1+tlrc', exists = 1\n", "-- have 1 ROI dict entries ...\n", "-- no 3dClustSim (since no blur estimation)\n", "** failed to load module matplotlib.pyplot\n", "** warning: -html_review_style pythonic: missing matplotlib library\n", "-- using default: will not apply EPI Automask\n", " (see 'MASKING NOTE' from the -help for details)\n", "\n", "--> script is file: proc.sub_08\n", "\n", " to execute via tcsh:\n", " tcsh -xef proc.sub_08 |& tee output.proc.sub_08\n", "\n", " to execute via bash:\n", " tcsh -xef proc.sub_08 2>&1 | tee output.proc.sub_08\n", "\n" ] } ], "source": [ "!afni_proc.py \\\n", " -subj_id sub_08 \\\n", " -script proc.sub_08 \\\n", " -scr_overwrite \\\n", " -out_dir ./afni_pro_glm/sub_08.results \\\n", " -blocks align tlrc volreg blur mask scale regress \\\n", " -copy_anat ./ds000102/sub-08/anat/sub-08_T1w.nii.gz \\\n", " -dsets \\\n", " ./ds000102/sub-08/func/sub-08_task-flanker_run-1_bold.nii.gz \\\n", " ./ds000102/sub-08/func/sub-08_task-flanker_run-2_bold.nii.gz \\\n", " -tcat_remove_first_trs 0 \\\n", " -align_opts_aea -giant_move \\\n", " -tlrc_base MNI_avg152T1+tlrc \\\n", " -volreg_align_to MIN_OUTLIER \\\n", " -volreg_align_e2a \\\n", " -volreg_tlrc_warp \\\n", " -blur_size 4.0 \\\n", " -regress_stim_times ./ds000102/sub-08/func/congruent.1D ./ds000102/sub-08/func/incongruent.1D \\\n", " -regress_stim_labels congruent incongruent \\\n", " -regress_stim_types times times \\\n", " -regress_basis GAM \\\n", " -regress_opts_3dD \\\n", " -gltsym 'SYM: +incongruent -congruent' -glt_label 1 incongruent-congruent \\\n", " -gltsym 'SYM: +congruent -incongruent' -glt_label 2 congruent-incongruent \\\n", " -jobs 8 \\\n", " -GOFORIT 0 \\\n", " -regress_no_motion_deriv \\\n", " -regress_run_clustsim no \\\n", " -regress_reml_exec \\\n", " -html_review_style pythonic" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "
\n", "
\n",
    "\n",
    "Below is a brief explanation of the key options added to ```afni_proc.py```:\n",
    "\n",
    "```-blocks ... regress```: Adds the GLM regression step to the processing pipeline, so we can estimate condition-specific brain activity.\n",
    "\n",
    "```-regress_stim_times```: Points to the timing .1D files (e.g., congruent.1D, incongruent.1D) we created earlier. These specify when each condition occurred during the experiment.\n",
    "\n",
    "```-regress_stim_labels```: Assigns labels to the timing files. These labels are used internally in AFNI (and in our symbolic GLTs) to refer to each condition.\n",
    "\n",
    "```-regress_basis GAM```: Applies the canonical hemodynamic response function (HRF) using a Gamma function, which models the typical shape of neural activation over time in response to a stimulus.\n",
    "\n",
    "```-regress_stim_types```: *times* - indicates that the stimulus timing files list event onsets in seconds.\n",
    "\n",
    "```-regress_opts_3dD```: Passes additional options to the 3dDeconvolve command that runs the regression. In this case:\n",
    "\n",
    "```-gltsym 'SYM: +incongruent -congruent'```: Defines a contrast comparing incongruent > congruent.\n",
    "\n",
    "```-gltsym 'SYM: +congruent -incongruent'```: Defines the reverse contrast, congruent > incongruent.\n",
    "\n",
    "```-glt_label```: Assigns human-readable labels to each contrast.\n",
    "\n",
    "```-jobs 8```: Specifies using 8 CPU threads for faster computation.\n",
    "\n",
    "```-GOFORIT 0```: Prevents the script from overriding collinearity warnings in the design matrix. Useful for debugging.\n",
    "\n",
    "```-regress_no_motion_deriv```: Omits the temporal derivatives of the motion parameters from the regression model. These derivatives can help account for rapid or complex head motion, but may be unnecessary if the data is relatively clean or if simpler motion correction is sufficient.\n",
    "\n",
    "```-regress_run_clustsim no```: Disables real-time cluster-level threshold simulations, since we’re not doing single-subject inference.\n",
    "\n",
    "```-regress_reml_exec```: Tells AFNI to run 3dREMLfit, which uses a more sophisticated model of temporal autocorrelation. This is typically more accurate than the default 3dDeconvolve and recommended for group-level analysis later.\n",
    "\n",
    "```-html_review_style pythonic```: Generates a user-friendly HTML summary of the analysis, styled with Python tools.\n",
    "
\n", "
" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "**Correcting the Script**\n", "\n", "Before running the preprocessing script, we need to make a small manual adjustment. AFNI's ```@auto_tlrc``` command, which handles nonlinear alignment to template space, sometimes fails if the anatomical image is far from the template origin. To prevent this, we insert the ```-init_xform AUTO_CENTER``` option into the generated script. This centers the anatomical image before alignment, helping ensure the normalization step runs smoothly. The following code snippet does this automatically by editing the ```proc.sub_08``` script before execution. This step was also discussed in the example notebook *Preprocessing with AFNI*, where we walked through this corrrection in more detail." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "# Edit proc.sub_08\n", "with open('./proc.sub_08', 'r') as file:\n", " lines = file.readlines()\n", "\n", "# Insert \"-init_xform AUTO_CENTER\" into the @auto_tlrc command\n", "for idx, line in enumerate(lines):\n", " if line.strip().startswith('@auto_tlrc'):\n", " lines[idx] = line.strip() + ' -init_xform AUTO_CENTER\\n'\n", "\n", "# Save it back\n", "with open('proc.sub_08', 'w') as file:\n", " file.writelines(lines)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Runing the Preprocessing and GLM Script**\n", "\n", "With the script ```proc.sub_08``` prepared, we're ready to run it. This will carry out all preprocessing steps followed by the GLM analysis and and logs the full output to ```output.proc.sub_08```, allowing to review everything that happened during processing:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "editable": true, "scrolled": true, "slideshow": { "slide_type": "" }, "tags": [ "scroll-output" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "echo auto-generated by afni_proc.py, Thu May 1 05:26:23 2025\n", "auto-generated by afni_proc.py, Thu May 1 05:26:23 2025\n", "echo (version 7.16, May 19, 2021)\n", "(version 7.16, May 19, 2021)\n", "echo execution started: `date`\n", "date\n", "execution started: Thu May 1 05:26:24 UTC 2025\n", "afni -ver\n", "Precompiled binary linux_openmp_64: Jul 8 2021 (Version AFNI_21.2.00 'Nerva')\n", "afni_history -check_date 27 Jun 2019\n", "-- is current: afni_history as new as: 27 Jun 2019\n", " most recent entry is: 30 Jun 2021\n", "if ( 0 ) then\n", "if ( 0 > 0 ) then\n", "set subj = sub_08\n", "endif\n", "set output_dir = ./afni_pro_glm/sub_08.results\n", "if ( -d ./afni_pro_glm/sub_08.results ) then\n", "set runs = ( `count -digits 2 1 2` )\n", "count -digits 2 1 2\n", "mkdir -p ./afni_pro_glm/sub_08.results\n", "mkdir ./afni_pro_glm/sub_08.results/stimuli\n", "cp ./ds000102/sub-08/func/congruent.1D ./ds000102/sub-08/func/incongruent.1D ./afni_pro_glm/sub_08.results/stimuli\n", "3dcopy ds000102/sub-08/anat/sub-08_T1w.nii.gz ./afni_pro_glm/sub_08.results/sub-08_T1w\n", "++ 3dcopy: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "3dTcat -prefix ./afni_pro_glm/sub_08.results/pb00.sub_08.r01.tcat ds000102/sub-08/func/sub-08_task-flanker_run-1_bold.nii.gz[0..$]\n", "++ 3dTcat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ elapsed time = 0.7 s\n", "3dTcat -prefix ./afni_pro_glm/sub_08.results/pb00.sub_08.r02.tcat ds000102/sub-08/func/sub-08_task-flanker_run-2_bold.nii.gz[0..$]\n", "++ 3dTcat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ elapsed time = 0.7 s\n", "set tr_counts = ( 146 146 )\n", "cd ./afni_pro_glm/sub_08.results\n", "touch out.pre_ss_warn.txt\n", "foreach run ( 01 02 )\n", "3dToutcount -automask -fraction -polort 2 -legendre pb00.sub_08.r01.tcat+orig\n", "++ 3dToutcount: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ 38915 voxels passed mask/clip\n", "if ( `1deval -a outcount.r$run.1D\"{0}\" -expr \"step(a-0.4)\"` ) then\n", "1deval -a outcount.r01.1D{0} -expr step(a-0.4)\n", "end\n", "3dToutcount -automask -fraction -polort 2 -legendre pb00.sub_08.r02.tcat+orig\n", "++ 3dToutcount: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ 38896 voxels passed mask/clip\n", "if ( `1deval -a outcount.r$run.1D\"{0}\" -expr \"step(a-0.4)\"` ) then\n", "1deval -a outcount.r02.1D{0} -expr step(a-0.4)\n", "end\n", "cat outcount.r01.1D outcount.r02.1D\n", "set minindex = `3dTstat -argmin -prefix - outcount_rall.1D\\'`\n", "3dTstat -argmin -prefix - outcount_rall.1D'\n", "++ 3dTstat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: KR Hammett & RW Cox\n", "\u001b[7m*+ WARNING:\u001b[0m Input dataset is not 3D+time; assuming TR=1.0\n", "set ovals = ( `1d_tool.py -set_run_lengths $tr_counts \n", " -index_to_run_tr $minindex` )\n", "1d_tool.py -set_run_lengths 146 146 -index_to_run_tr 28\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "set minoutrun = 01\n", "set minouttr = 28\n", "echo min outlier: run 01, TR 28\n", "tee out.min_outlier.txt\n", "min outlier: run 01, TR 28\n", "3dbucket -prefix vr_base_min_outlier pb00.sub_08.r01.tcat+orig[28]\n", "++ 3dbucket: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "align_epi_anat.py -anat2epi -anat sub-08_T1w+orig -save_skullstrip -suffix _al_junk -epi vr_base_min_outlier+orig -epi_base 0 -epi_strip 3dAutomask -giant_move -volreg off -tshift off\n", "#++ align_epi_anat version: 1.62\n", "#++ turning off volume registration\n", "#Script is running (command trimmed):\n", " 3dAttribute DELTA ./vr_base_min_outlier+orig\n", "#Script is running (command trimmed):\n", " 3dAttribute DELTA ./vr_base_min_outlier+orig\n", "#Script is running (command trimmed):\n", " 3dAttribute DELTA ./sub-08_T1w+orig\n", "#++ Multi-cost is lpc\n", "#++ Removing all the temporary files\n", "#Script is running:\n", " \\rm -f ./__tt_vr_base_min_outlier*\n", "#Script is running:\n", " \\rm -f ./__tt_sub-08_T1w*\n", "#Script is running (command trimmed):\n", " 3dcopy ./sub-08_T1w+orig ./__tt_sub-08_T1w+orig\n", "++ 3dcopy: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "#++ Removing skull from anat data\n", "#Script is running (command trimmed):\n", " 3dSkullStrip -orig_vol -input ./__tt_sub-08_T1w+orig -prefix ./__tt_sub-08_T1w_ns\n", "#Script is running (command trimmed):\n", " 3dinfo ./__tt_sub-08_T1w_ns+orig | \\grep 'Data Axes Tilt:'|\\grep 'Oblique'\n", "#++ Dataset /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/__tt_sub-08_T1w_ns+orig is not oblique\n", "#Script is running (command trimmed):\n", " 3dinfo ./vr_base_min_outlier+orig | \\grep 'Data Axes Tilt:'|\\grep 'Oblique'\n", "#++ Dataset /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/vr_base_min_outlier+orig is not oblique\n", "#++ using 0th sub-brick because only one found\n", "#Script is running (command trimmed):\n", " 3dbucket -prefix ./__tt_vr_base_min_outlier_ts ./vr_base_min_outlier+orig'[0]'\n", "++ 3dbucket: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "#++ removing skull or area outside brain\n", "#Script is running (command trimmed):\n", " 3dAutomask -apply_prefix ./__tt_vr_base_min_outlier_ts_ns ./__tt_vr_base_min_outlier_ts+orig\n", "++ 3dAutomask: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Emperor Zhark\n", "++ Loading dataset ./__tt_vr_base_min_outlier_ts+orig\n", "++ Forming automask\n", " + Fixed clip level = 345.050415\n", " + Used gradual clip level = 330.013794 .. 365.519012\n", " + Number voxels above clip level = 39471\n", " + Clustering voxels ...\n", " + Largest cluster has 38949 voxels\n", " + Clustering voxels ...\n", " + Largest cluster has 38549 voxels\n", " + Filled 354 voxels in small holes; now have 38903 voxels\n", " + Filled 3 voxels in large holes; now have 38906 voxels\n", " + Clustering voxels ...\n", " + Largest cluster has 38906 voxels\n", " + Clustering non-brain voxels ...\n", " + Clustering voxels ...\n", " + Largest cluster has 124934 voxels\n", " + Mask now has 38906 voxels\n", "++ 38906 voxels in the mask [out of 163840: 23.75%]\n", "++ first 11 x-planes are zero [from L]\n", "++ last 11 x-planes are zero [from R]\n", "++ first 0 y-planes are zero [from P]\n", "++ last 5 y-planes are zero [from A]\n", "++ first 1 z-planes are zero [from I]\n", "++ last 3 z-planes are zero [from S]\n", "++ applying mask to original data\n", "++ Writing masked data\n", "++ Output dataset ./__tt_vr_base_min_outlier_ts_ns+orig.BRIK\n", "++ CPU time = 0.000000 sec\n", "#++ Computing weight mask\n", "#Script is running (command trimmed):\n", " 3dBrickStat -automask -percentile 90.000000 1 90.000000 ./__tt_vr_base_min_outlier_ts_ns+orig\n", "#++ Applying threshold of 819.000000 on /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/__tt_vr_base_min_outlier_ts_ns+orig\n", "#Script is running (command trimmed):\n", " 3dcalc -datum float -prefix ./__tt_vr_base_min_outlier_ts_ns_wt -a ./__tt_vr_base_min_outlier_ts_ns+orig -expr 'min(1,(a/819.000000))'\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ././__tt_vr_base_min_outlier_ts_ns_wt+orig.BRIK\n", "#++ Aligning anat data to epi data\n", "#Script is running (command trimmed):\n", " 3dAllineate -lpc -wtprefix ./__tt_sub-08_T1w_ns_al_junk_wtal -weight ./__tt_vr_base_min_outlier_ts_ns_wt+orig -source ./__tt_sub-08_T1w_ns+orig -prefix ./sub-08_T1w_al_junk -base ./__tt_vr_base_min_outlier_ts_ns+orig -cmass -1Dmatrix_save ./sub-08_T1w_al_junk_mat.aff12.1D -master BASE -mast_dxyz 1.000000 -weight_frac 1.0 -maxrot 6 -maxshf 10 -VERB -warp aff -source_automask+4 -twobest 11 -twopass -VERB -maxrot 45 -maxshf 40 -fineblur 1 -source_automask+2 \n", "++ 3dAllineate: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Zhark the Registrator\n", "++ Option '-cmass' enables center-of-mass code = 7 = +xyz\n", "++ Source dataset: ./__tt_sub-08_T1w_ns+orig.HEAD\n", "++ Base dataset: ./__tt_vr_base_min_outlier_ts_ns+orig.HEAD\n", "++ Loading datasets into memory\n", "++ 1583872 voxels in -source_automask+2\n", "++ largeness ==> set -twobest 29\n", "++ Zero-pad: ybot=8 ytop=3\n", "++ Zero-pad: zbot=7 ztop=5\n", "++ 38906 voxels [15.6%] in weight mask\n", "++ Output dataset ./__tt_sub-08_T1w_ns_al_junk_wtal+orig.BRIK\n", "++ Number of points for matching = 38906\n", "++ NOTE: base and source coordinate systems have different handedness\n", " + Orientations: base=Right handed (LPI); source=Left handed (RPI)\n", " + - It is nothing to worry about: 3dAllineate aligns based on coordinates.\n", " + - But it is always important to check the alignment visually to be sure.\n", "++ Local correlation: blok type = 'TOHD(17.0941)'\n", "++ base center of mass = 31.963 35.048 27.741 (index)\n", " + source center of mass = 84.800 114.693 116.298 (index)\n", " + source-target CM = 86.190 -3.441 -1.709 (xyz)\n", " + estimated center of mass shifts = 86.190 -3.441 -1.709\n", "++ shift param auto-range: 25.5..146.9 -74.7..67.8 -67.2..63.8\n", " + Range param#4 [z-angle] = -6.000000 .. 6.000000 center = 0.000000\n", " + Range param#5 [x-angle] = -6.000000 .. 6.000000 center = 0.000000\n", " + Range param#6 [y-angle] = -6.000000 .. 6.000000 center = 0.000000\n", " + Range param#1 [x-shift] = 76.190132 .. 96.190132 center = 86.190132\n", " + Range param#2 [y-shift] = -13.440697 .. 6.559303 center = -3.440697\n", " + Range param#3 [z-shift] = -11.708786 .. 8.291214 center = -1.708786\n", " + Range param#4 [z-angle] = -45.000000 .. 45.000000 center = 0.000000\n", " + Range param#5 [x-angle] = -45.000000 .. 45.000000 center = 0.000000\n", " + Range param#6 [y-angle] = -45.000000 .. 45.000000 center = 0.000000\n", " + Range param#1 [x-shift] = 46.190132 .. 126.190132 center = 86.190132\n", " + Range param#2 [y-shift] = -43.440697 .. 36.559303 center = -3.440697\n", " + Range param#3 [z-shift] = -41.708786 .. 38.291214 center = -1.708786\n", " + 12 free parameters\n", "++ Normalized (unitless) convergence radius = 0.0000088\n", "++ Final parameter search ranges:\n", " + x-shift = 46.190 .. 126.190\n", " + y-shift = -43.441 .. 36.559\n", " + z-shift = -41.709 .. 38.291\n", " + z-angle = -45.000 .. 45.000\n", " + x-angle = -45.000 .. 45.000\n", " + y-angle = -45.000 .. 45.000\n", " + x-scale = 0.711 .. 1.406\n", " + y-scale = 0.711 .. 1.406\n", " + z-scale = 0.711 .. 1.406\n", " + y/x-shear = -0.111 .. 0.111\n", " + z/x-shear = -0.111 .. 0.111\n", " + z/y-shear = -0.111 .. 0.111\n", "++ changing output grid spacing to 1.0000 mm\n", "++ OpenMP thread count = 15\n", "++ ======= Allineation of 1 sub-bricks using Local Pearson Correlation Signed =======\n", " + source mask has 1583872 [out of 11534336] voxels\n", " + base mask has 52253 [out of 249600] voxels\n", "++ ========== sub-brick #0 ========== [total CPU to here=0.0 s]\n", "++ *** Coarse pass begins ***\n", " + * Enter alignment setup routine\n", " + - copying base image\n", " + - copying source image\n", " + - Smoothing base; radius=4.00\n", " + - Smoothing source; radius=4.00\n", " + !source mask fill: ubot=64 usiz=159.5\n", " + - copying weight image\n", " + - using 38906 points from base image [use_all=2]\n", " + * Exit alignment setup routine\n", " + - Search for coarse starting parameters\n", " + 32391 total points stored in 63 'TOHD(17.5558)' bloks (0 duplicates)\n", " + - number of free params = 6\n", " + - Test (64+191)*64 params [top5=*o+-.]:#o+o-.+.o--.--+oo-.++-.o-+-.+o+o---+.--.oo.+++o+$+.--.+..o.o + - best 88 costs found:\n", " o= 0 v=-0.078395: 86.19 -3.44 -1.71 0.00 0.00 0.00 [grid]\n", " o= 1 v=-0.024170: 91.62 4.15 28.38 -38.19 22.74 -41.67 [rand]\n", " o= 2 v=-0.022830: 100.19 -18.97 33.97 -14.61 -39.00 -28.71 [rand]\n", " o= 3 v=-0.022358: 92.86 -30.11 24.96 7.50 -30.00 -30.00 [grid]\n", " o= 4 v=-0.022101: 121.80 -7.85 -38.58 -37.76 24.22 3.86 [rand]\n", " o= 5 v=-0.021851: 97.68 -19.75 -35.46 -19.17 13.96 2.56 [rand]\n", " o= 6 v=-0.021730: 122.84 -20.67 20.55 5.26 -41.39 -40.03 [rand]\n", " o= 7 v=-0.021515: 101.83 -12.20 -35.54 -23.16 17.17 -3.59 [rand]\n", " o= 8 v=-0.021205: 91.12 -0.47 27.39 -40.99 18.21 -33.12 [rand]\n", " o= 9 v=-0.020806: 121.80 -7.85 -38.58 -37.76 24.22 -3.86 [rand]\n", " o=10 v=-0.020703: 97.68 -19.75 -35.46 -19.17 13.96 -2.56 [rand]\n", " o=11 v=-0.020229: 121.80 0.97 35.16 37.76 -24.22 -3.86 [rand]\n", " o=12 v=-0.020075: 90.34 20.37 30.18 31.52 -11.26 -33.63 [rand]\n", " o=13 v=-0.019908: 100.19 -18.97 33.97 14.61 -39.00 -28.71 [rand]\n", " o=14 v=-0.019694: 120.99 -17.22 -35.72 10.62 -7.10 -10.42 [rand]\n", " o=15 v=-0.019540: 119.22 1.58 -38.52 -11.98 4.28 -19.20 [rand]\n", " o=16 v=-0.019170: 88.48 -10.62 -33.40 -10.97 18.37 5.04 [rand]\n", " o=17 v=-0.018913: 121.80 0.97 -38.58 -37.76 24.22 3.86 [rand]\n", " o=18 v=-0.018894: 96.65 -30.71 19.79 -34.95 -5.03 -42.69 [rand]\n", " o=19 v=-0.018891: 115.81 31.17 35.11 24.31 -11.89 -2.84 [rand]\n", " o=20 v=-0.018703: 92.86 -30.11 24.96 -7.50 -30.00 -30.00 [grid]\n", " o=21 v=-0.018636: 115.81 31.17 35.11 24.31 -11.89 2.84 [rand]\n", " o=22 v=-0.018271: 74.70 12.87 -35.46 19.17 13.96 2.56 [rand]\n", " o=23 v=-0.018249: 83.90 -10.62 -33.40 -10.97 18.37 5.04 [rand]\n", " o=24 v=-0.018182: 119.22 -8.46 -38.52 -11.98 4.28 -19.20 [rand]\n", " o=25 v=-0.018157: 112.86 3.23 -28.38 -30.00 7.50 7.50 [grid]\n", " o=26 v=-0.018092: 113.03 -16.54 -34.29 -39.07 28.37 8.01 [rand]\n", " o=27 v=-0.018024: 121.80 -7.85 35.16 37.76 -24.22 -3.86 [rand]\n", " o=28 v=-0.017957: 91.12 -6.41 27.39 -40.99 18.21 -33.12 [rand]\n", " o=29 v=-0.017956: 101.83 -12.20 -35.54 -23.16 17.17 3.59 [rand]\n", " o=30 v=-0.017508: 120.99 -17.22 -35.72 -10.62 -7.10 -10.42 [rand]\n", " o=31 v=-0.017362: 74.70 12.87 -35.46 19.17 13.96 -2.56 [rand]\n", " o=32 v=-0.017349: 120.99 -17.22 -35.72 -10.62 7.10 -10.42 [rand]\n", " o=33 v=-0.016693: 105.31 19.97 -35.01 -37.88 13.88 18.42 [rand]\n", " o=34 v=-0.016675: 102.99 15.02 30.65 10.10 -16.32 -39.31 [rand]\n", " o=35 v=-0.016669: 105.31 19.97 -35.01 -37.88 13.88 -18.42 [rand]\n", " o=36 v=-0.016632: 120.99 -17.22 -35.72 10.62 7.10 -10.42 [rand]\n", " o=37 v=-0.016450: 99.53 -27.69 29.08 6.84 -32.76 -20.90 [rand]\n", " o=38 v=-0.016261: 79.52 -30.11 24.96 -30.00 -7.50 -30.00 [grid]\n", " o=39 v=-0.016134: 99.35 34.44 35.49 14.03 -8.39 -25.20 [rand]\n", " o=40 v=-0.016094: 79.78 30.50 -38.28 -19.28 27.13 15.13 [rand]\n", " o=41 v=-0.015858: 95.39 -15.21 -23.44 -6.82 34.51 24.39 [rand]\n", " o=42 v=-0.015801: 120.99 -17.22 -35.72 10.62 -7.10 10.42 [rand]\n", " o=43 v=-0.015734: 70.55 5.32 -35.54 23.16 17.17 -3.59 [rand]\n", " o=44 v=-0.015723: 67.07 19.97 -35.01 37.88 13.88 -18.42 [rand]\n", " o=45 v=-0.015700: 92.86 23.23 24.96 30.00 -7.50 -30.00 [grid]\n", " o=46 v=-0.015623: 113.12 -31.58 -39.65 15.05 4.71 -12.78 [rand]\n", " o=47 v=-0.015567: 92.86 -10.11 -28.38 -7.50 7.50 30.00 [grid]\n", " o=48 v=-0.015330: 88.48 -10.62 -33.40 -10.97 18.37 -5.04 [rand]\n", " o=49 v=-0.015192: 92.03 -32.53 20.97 30.43 -41.57 -36.66 [rand]\n", " o=50 v=-0.015111: 103.24 -26.13 22.54 -12.15 -12.44 -39.75 [rand]\n", " o=51 v=-0.015075: 122.78 -30.74 29.53 -25.97 -37.53 -40.21 [rand]\n", " o=52 v=-0.014925: 92.86 -10.11 -28.38 -7.50 30.00 30.00 [grid]\n", " o=53 v=-0.014904: 121.80 0.97 -38.58 -37.76 24.22 -3.86 [rand]\n", " o=54 v=-0.014835: 102.99 -21.90 30.65 -10.10 -16.32 -39.31 [rand]\n", " o=55 v=-0.014711: 102.99 15.02 -34.07 -10.10 -16.32 39.31 [rand]\n", " o=56 v=-0.014651: 119.22 -8.46 -38.52 -11.98 -4.28 -19.20 [rand]\n", " o=57 v=-0.014527: 99.35 -41.33 -38.90 14.03 8.39 -25.20 [rand]\n", " o=58 v=-0.014469: 70.55 -12.20 -35.54 23.16 17.17 3.59 [rand]\n", " o=59 v=-0.014214: 121.80 -7.85 35.16 37.76 -24.22 3.86 [rand]\n", " o=60 v=-0.014171: 70.55 -12.20 -35.54 23.16 17.17 -3.59 [rand]\n", " o=61 v=-0.014132: 94.85 -27.60 34.86 27.41 -42.10 -24.35 [rand]\n", " o=62 v=-0.014108: 92.86 -10.11 -28.38 30.00 7.50 7.50 [grid]\n", " o=63 v=-0.013985: 92.61 -37.38 -38.28 19.28 27.13 -15.13 [rand]\n", " o=64 v=-0.013771: 56.91 -19.20 28.15 13.45 -19.96 14.96 [rand]\n", " o=65 v=-0.013738: 104.93 -39.84 -34.76 24.90 4.74 -17.23 [rand]\n", " o=66 v=-0.013600: 92.86 3.23 -28.38 -7.50 30.00 30.00 [grid]\n", " o=67 v=-0.013545: 102.99 15.02 -34.07 10.10 -16.32 39.31 [rand]\n", " o=68 v=-0.013506: 97.68 12.87 -35.46 -19.17 13.96 -2.56 [rand]\n", " o=69 v=-0.013420: 92.86 3.23 24.96 30.00 -30.00 -30.00 [grid]\n", " o=70 v=-0.013384: 83.90 -10.62 -33.40 -10.97 18.37 -5.04 [rand]\n", " o=71 v=-0.013341: 115.81 -38.05 -38.52 24.31 -11.89 -2.84 [rand]\n", " o=72 v=-0.013295: 59.26 -31.58 36.24 15.05 -4.71 12.78 [rand]\n", " o=73 v=-0.013221: 79.78 30.50 -38.28 19.28 27.13 15.13 [rand]\n", " o=74 v=-0.013191: 59.35 9.66 -34.29 39.07 28.37 -8.01 [rand]\n", " o=75 v=-0.013149: 118.40 -32.49 34.43 -40.41 -19.09 -40.75 [rand]\n", " o=76 v=-0.013072: 70.55 5.32 -35.54 23.16 17.17 3.59 [rand]\n", " o=77 v=-0.013043: 65.94 23.84 -36.19 37.90 5.03 3.08 [rand]\n", " o=78 v=-0.012929: 92.86 -10.11 -28.38 7.50 7.50 7.50 [grid]\n", " o=79 v=-0.012857: 60.67 -34.78 32.57 42.46 -41.07 35.63 [rand]\n", " o=80 v=-0.012789: 99.35 -41.33 35.49 14.03 -8.39 -25.20 [rand]\n", " o=81 v=-0.012665: 97.68 12.87 -35.46 -19.17 13.96 2.56 [rand]\n", " o=82 v=-0.012652: 112.86 -30.11 -28.38 30.00 7.50 7.50 [grid]\n", " o=83 v=-0.012596: 104.93 -39.84 31.34 -24.90 -4.74 -17.23 [rand]\n", " o=84 v=-0.012570: 83.90 -10.62 -33.40 10.97 18.37 -5.04 [rand]\n", " o=85 v=-0.012553: 92.86 -10.11 -28.38 -7.50 30.00 7.50 [grid]\n", " o=86 v=-0.012529: 92.86 -10.11 24.96 -7.50 -7.50 -30.00 [grid]\n", " o=87 v=-0.012519: 80.37 10.75 27.93 38.21 -15.41 -13.51 [rand]\n", " + - A little optimization:*[#16335=-0.0833147] *[#16338=-0.0996876] *[#16339=-0.122258] *[#16342=-0.125257] *[#16344=-0.126031] *[#16346=-0.127847] *[#16349=-0.129014] *[#16352=-0.129155] *[#16355=-0.129328] *[#16356=-0.129367] *[#16360=-0.12939] *[#16362=-0.129425] *[#16363=-0.129437] *[#16366=-0.129478] ........................................................................................\n", " + - costs of the above after a little optimization:\n", " *o= 0 v=-0.129478: 86.56 -2.92 0.24 -1.17 0.39 0.22 [grid] [f=50]\n", " o= 1 v=-0.025208: 91.85 3.62 28.37 -37.98 22.65 -41.84 [rand] [f=41]\n", " o= 2 v=-0.037638: 97.07 -22.70 36.86 -10.25 -41.88 -25.72 [rand] [f=62]\n", " o= 3 v=-0.026228: 94.01 -30.11 26.00 6.89 -35.26 -29.95 [grid] [f=67]\n", " o= 4 v=-0.025109: 122.87 -3.88 -38.32 -37.64 24.31 3.06 [rand] [f=61]\n", " o= 5 v=-0.023467: 97.59 -19.20 -35.11 -18.55 14.45 2.78 [rand] [f=47]\n", " o= 6 v=-0.032558: 124.34 -28.56 20.34 5.63 -41.94 -44.51 [rand] [f=52]\n", " o= 7 v=-0.024558: 103.87 -12.91 -36.21 -26.12 14.64 -5.56 [rand] [f=68]\n", " o= 8 v=-0.026595: 92.49 0.17 27.38 -37.57 16.88 -34.60 [rand] [f=47]\n", " o= 9 v=-0.025748: 122.87 -7.62 -36.96 -38.73 25.59 5.74 [rand] [f=37]\n", " o=10 v=-0.023050: 97.81 -19.65 -34.79 -19.15 13.89 2.05 [rand] [f=36]\n", " o=11 v=-0.034817: 125.56 3.51 37.77 32.42 -27.27 -8.86 [rand] [f=47]\n", " o=12 v=-0.026636: 90.62 19.43 30.46 30.75 -11.47 -27.04 [rand] [f=54]\n", " o=13 v=-0.029615: 95.65 -16.42 33.99 15.06 -38.94 -27.36 [rand] [f=44]\n", " o=14 v=-0.025724: 121.05 -17.94 -34.73 10.44 -8.00 -4.28 [rand] [f=40]\n", " o=15 v=-0.027042: 119.10 0.10 -39.89 -13.81 11.33 -14.01 [rand] [f=42]\n", " o=16 v=-0.029803: 88.38 -15.30 -33.36 -10.38 12.73 4.37 [rand] [f=58]\n", " o=17 v=-0.025471: 120.77 -7.35 -37.30 -34.55 25.97 6.34 [rand] [f=51]\n", " o=18 v=-0.021813: 96.06 -31.35 20.30 -37.16 -7.69 -44.56 [rand] [f=37]\n", " o=19 v=-0.039610: 120.38 31.62 37.96 31.21 -11.89 -1.49 [rand] [f=60]\n", " o=20 v=-0.030208: 99.98 -30.12 26.92 -4.50 -28.25 -34.17 [grid] [f=62]\n", " o=21 v=-0.033973: 115.95 30.51 37.09 27.08 -7.23 4.45 [rand] [f=45]\n", " o=22 v=-0.024448: 68.66 12.44 -38.44 19.11 14.37 2.63 [rand] [f=52]\n", " o=23 v=-0.030816: 88.36 -12.05 -34.28 -12.31 11.56 5.36 [rand] [f=57]\n", " o=24 v=-0.026831: 119.70 -7.09 -37.52 -10.99 4.50 -13.47 [rand] [f=43]\n", " o=25 v=-0.021834: 110.54 4.11 -28.89 -31.19 6.72 7.75 [grid] [f=46]\n", " o=26 v=-0.029659: 112.69 -13.96 -35.31 -28.09 23.99 4.39 [rand] [f=64]\n", " o=27 v=-0.036380: 124.25 -11.62 38.17 33.28 -31.14 -4.50 [rand] [f=57]\n", " o=28 v=-0.026330: 92.18 1.00 27.77 -39.33 18.23 -32.61 [rand] [f=51]\n", " o=29 v=-0.022613: 102.63 -11.90 -37.10 -25.08 13.86 -0.27 [rand] [f=35]\n", " o=30 v=-0.023502: 119.40 -16.34 -38.41 -9.52 -2.70 -13.24 [rand] [f=49]\n", " o=31 v=-0.024601: 69.46 14.02 -37.34 19.44 12.69 -2.24 [rand] [f=44]\n", " o=32 v=-0.025824: 119.43 -8.11 -37.98 -7.01 10.78 -13.52 [rand] [f=83]\n", " o=33 v=-0.028485: 111.32 17.78 -33.51 -44.98 10.27 21.60 [rand] [f=50]\n", " o=34 v=-0.021606: 103.05 11.34 30.91 10.44 -16.63 -39.34 [rand] [f=54]\n", " o=35 v=-0.025812: 105.92 18.80 -34.03 -38.48 13.27 -12.88 [rand] [f=49]\n", " o=36 v=-0.023639: 120.56 -21.02 -38.02 5.46 4.63 -15.69 [rand] [f=51]\n", " o=37 v=-0.022421: 96.59 -28.00 29.09 6.71 -31.63 -25.55 [rand] [f=39]\n", " o=38 v=-0.020190: 79.59 -26.31 24.88 -29.92 -8.68 -28.78 [grid] [f=49]\n", " o=39 v=-0.021749: 96.94 33.57 35.86 11.35 -6.94 -19.87 [rand] [f=66]\n", " o=40 v=-0.019895: 82.95 28.96 -37.93 -17.75 28.76 13.02 [rand] [f=37]\n", " o=41 v=-0.021356: 91.66 -14.96 -22.76 -7.10 34.58 24.82 [rand] [f=46]\n", " o=42 v=-0.027107: 124.49 -20.18 -32.05 10.69 -7.44 9.91 [rand] [f=45]\n", " o=43 v=-0.026319: 68.91 11.17 -38.05 20.29 19.40 -6.43 [rand] [f=56]\n", " o=44 v=-0.024913: 67.84 15.42 -35.49 37.39 14.37 -18.96 [rand] [f=37]\n", " o=45 v=-0.023354: 93.76 23.30 27.77 29.47 -7.75 -31.27 [grid] [f=40]\n", " o=46 v=-0.019407: 109.48 -31.82 -39.14 15.51 4.62 -13.43 [rand] [f=46]\n", " o=47 v=-0.022879: 92.79 -14.50 -30.57 -6.67 8.67 35.86 [grid] [f=59]\n", " o=48 v=-0.028698: 88.61 -13.59 -36.48 -10.26 12.62 0.84 [rand] [f=53]\n", " o=49 v=-0.019705: 92.37 -28.32 21.44 30.84 -39.72 -37.84 [rand] [f=65]\n", " o=50 v=-0.022741: 99.40 -24.95 21.80 -13.00 -13.24 -40.83 [rand] [f=46]\n", " o=51 v=-0.025023: 125.97 -26.96 37.93 -27.17 -36.78 -38.74 [rand] [f=57]\n", " o=52 v=-0.018040: 92.91 -9.23 -27.61 -8.65 30.90 29.96 [grid] [f=65]\n", " o=53 v=-0.026083: 119.13 -8.06 -39.09 -31.95 24.41 -0.92 [rand] [f=47]\n", " o=54 v=-0.021481: 97.21 -15.76 28.19 -9.68 -14.20 -39.20 [rand] [f=52]\n", " o=55 v=-0.029622: 102.22 23.54 -40.40 -8.51 -15.66 40.94 [rand] [f=57]\n", " o=56 v=-0.024318: 119.26 -12.01 -40.99 -6.33 -3.92 -15.68 [rand] [f=67]\n", " o=57 v=-0.016309: 99.90 -40.50 -41.08 13.83 7.03 -28.14 [rand] [f=41]\n", " o=58 v=-0.020067: 70.82 -7.68 -36.96 23.60 18.14 3.28 [rand] [f=53]\n", " o=59 v=-0.029083: 122.02 -8.54 38.29 35.74 -24.75 2.19 [rand] [f=40]\n", " o=60 v=-0.018760: 69.81 -16.27 -37.23 22.97 16.08 -3.59 [rand] [f=33]\n", " o=61 v=-0.027637: 95.70 -14.89 33.59 24.68 -37.62 -25.78 [rand] [f=55]\n", " o=62 v=-0.021869: 90.87 -7.14 -30.34 27.19 5.03 7.77 [grid] [f=44]\n", " o=63 v=-0.016562: 93.04 -33.28 -38.26 19.24 27.71 -15.44 [rand] [f=35]\n", " o=64 v=-0.017593: 53.52 -19.20 30.34 13.28 -18.83 16.03 [rand] [f=60]\n", " o=65 v=-0.020603: 105.13 -39.25 -35.37 22.69 13.32 -21.57 [rand] [f=50]\n", " o=66 v=-0.022279: 93.18 9.76 -30.87 -8.28 32.53 27.85 [grid] [f=76]\n", " o=67 v=-0.023893: 102.80 20.21 -36.92 8.62 -14.85 40.53 [rand] [f=50]\n", " o=68 v=-0.030230: 94.78 11.44 -41.70 -27.01 18.02 -15.08 [rand] [f=53]\n", " o=69 v=-0.025604: 92.34 2.49 30.25 29.16 -28.24 -27.67 [grid] [f=63]\n", " o=70 v=-0.028099: 84.44 -14.51 -37.03 -5.85 10.74 5.83 [rand] [f=62]\n", " o=71 v=-0.024499: 117.76 -30.97 -33.13 30.69 -12.85 -3.72 [rand] [f=61]\n", " o=72 v=-0.017104: 59.48 -35.24 36.02 15.19 -4.00 12.18 [rand] [f=44]\n", " o=73 v=-0.020121: 78.49 34.05 -38.37 19.48 26.09 14.47 [rand] [f=43]\n", " o=74 v=-0.027725: 66.37 14.95 -34.10 33.91 20.53 -10.37 [rand] [f=70]\n", " o=75 v=-0.021457: 118.15 -34.24 32.27 -35.98 -26.19 -42.12 [rand] [f=53]\n", " o=76 v=-0.033583: 84.74 5.08 -40.21 22.43 10.74 3.93 [rand] [f=82]\n", " o=77 v=-0.022471: 66.16 19.67 -38.88 38.58 4.87 -0.04 [rand] [f=62]\n", " o=78 v=-0.022165: 93.72 -7.71 -26.28 17.15 7.89 8.13 [grid] [f=39]\n", " o=79 v=-0.019392: 56.80 -35.73 32.75 42.93 -41.01 35.05 [rand] [f=40]\n", " o=80 v=-0.024286: 99.09 -41.34 36.23 14.84 -11.57 -20.31 [rand] [f=40]\n", " o=81 v=-0.027989: 100.32 13.71 -36.07 -26.64 6.16 -4.67 [rand] [f=61]\n", " o=82 v=-0.018578: 114.04 -25.07 -27.78 31.22 5.83 3.98 [grid] [f=41]\n", " o=83 v=-0.020005: 108.98 -40.26 31.30 -22.78 -4.31 -16.42 [rand] [f=52]\n", " o=84 v=-0.022922: 85.64 -10.65 -38.37 5.12 14.67 -7.14 [rand] [f=60]\n", " o=85 v=-0.022479: 89.13 -11.37 -28.03 -5.87 37.76 7.84 [grid] [f=59]\n", " o=86 v=-0.019822: 93.58 -9.73 28.66 -9.65 -11.27 -31.86 [grid] [f=57]\n", " o=87 v=-0.031659: 80.56 10.85 31.85 39.61 -23.66 -12.54 [rand] [f=68]\n", " + - saving # 0 for use with twobest\n", " + - saving #19 for use with twobest\n", " + - saving # 2 for use with twobest\n", " + - saving #27 for use with twobest\n", " + - saving #11 for use with twobest\n", " + - saving #21 for use with twobest\n", " + - saving #76 for use with twobest\n", " + - saving # 6 for use with twobest\n", " + - saving #87 for use with twobest\n", " + - saving #23 for use with twobest\n", " + - saving #68 for use with twobest\n", " + - saving #20 for use with twobest\n", " + - skip #16 for twobest: too close to set #23\n", " + - saving #26 for use with twobest\n", " + - saving #55 for use with twobest\n", " + - saving #13 for use with twobest\n", " + - saving #59 for use with twobest\n", " + - skip #48 for twobest: too close to set #16\n", " + - saving #33 for use with twobest\n", " + - saving #70 for use with twobest\n", " + - saving #81 for use with twobest\n", " + - saving #74 for use with twobest\n", " + - saving #61 for use with twobest\n", " + - saving #42 for use with twobest\n", " + - saving #15 for use with twobest\n", " + - saving #24 for use with twobest\n", " + - saving #12 for use with twobest\n", " + - saving # 8 for use with twobest\n", " + - skip #28 for twobest: too close to set # 8\n", " + - saving #43 for use with twobest\n", " + - saving # 3 for use with twobest\n", " + - saving #53 for use with twobest\n", " + - Coarse startup search net CPU time = 0.0 s\n", "++ Start refinement #1 on 30 coarse parameter sets\n", " + * Enter alignment setup routine\n", " + - Smoothing base; radius=3.11\n", " + - Smoothing source; radius=3.11\n", " + !source mask fill: ubot=64 usiz=159.5\n", " + - retaining old weight image\n", " + - using 38906 points from base image [use_all=2]\n", " + * Exit alignment setup routine\n", " + 31909 total points stored in 63 'TOHD(17.3748)' bloks (0 duplicates)\n", "*[#20978=-0.169331] *[#20986=-0.170313] *[#21000=-0.170526] *[#21001=-0.172023] *[#21005=-0.172274] *[#21008=-0.173681] *[#21009=-0.1739] *[#21013=-0.174339] *[#21016=-0.175108] *[#21017=-0.176175] *[#21018=-0.176452] *[#21019=-0.176809] *[#21021=-0.177261] *[#21024=-0.17761] *[#21026=-0.178186] *[#21027=-0.178833] *[#21028=-0.179343] *[#21031=-0.179472] *[#21040=-0.180395] *[#21043=-0.180428] *[#21045=-0.180429] *[#21047=-0.180514] *[#21048=-0.180599] *[#21049=-0.180672] *[#21051=-0.180752] *[#21052=-0.180786] *[#21053=-0.180808] *[#21054=-0.18082] *[#21055=-0.180832] *[#21056=-0.180858] *[#21057=-0.180864] *[#21059=-0.180909] *[#21060=-0.180915] *[#21061=-0.180934] *[#21062=-0.181065] *[#21063=-0.181087] *[#21064=-0.181114] *[#21065=-0.181253] *[#21068=-0.181324] *[#21069=-0.181432] *[#21070=-0.18147] *[#21073=-0.181504] *[#21074=-0.18155] *[#21075=-0.181565] \n", " + - param set #1 has cost=-0.181565 [o=0 t=0]\n", " + -- Parameters = 86.2417 -3.0340 0.1839 -0.7927 0.0198 0.1572 0.9849 1.0186 0.9937 -0.0067 -0.0009 -0.0030\n", " + - param set #2 has cost=-0.029599 [o=19 t=1]\n", " + -- Parameters = 120.3747 31.4269 37.8606 31.0260 -11.8449 -1.1094 1.0067 0.9979 0.9877 -0.0009 0.0021 -0.0001\n", " + - param set #3 has cost=-0.032947 [o=2 t=2]\n", " + -- Parameters = 97.1422 -22.9068 36.7125 -10.4271 -42.0244 -25.8414 0.9953 0.9994 0.9958 -0.0016 0.0013 -0.0002\n", " + - param set #4 has cost=-0.025913 [o=27 t=3]\n", " + -- Parameters = 124.2213 -11.7386 37.9231 33.3757 -31.0928 -4.5253 1.0015 1.0012 0.9970 0.0002 0.0015 0.0004\n", " + - param set #5 has cost=-0.028112 [o=11 t=4]\n", " + -- Parameters = 122.3987 3.2658 37.8554 32.0364 -27.2812 -8.8197 0.9993 1.0000 0.9989 -0.0002 -0.0001 -0.0002\n", " + - param set #6 has cost=-0.027098 [o=21 t=5]\n", " + -- Parameters = 115.6655 30.6513 37.9152 27.7891 -10.1989 1.4674 0.9984 0.9912 0.9884 0.0004 -0.0012 0.0008\n", " + - param set #7 has cost=-0.025330 [o=76 t=6]\n", " + -- Parameters = 84.5296 4.8670 -40.1157 22.4018 10.4986 3.9660 1.0038 0.9999 1.0018 -0.0005 -0.0003 0.0016\n", " + - param set #8 has cost=-0.027671 [o=6 t=7]\n", " + -- Parameters = 124.4184 -28.3909 20.3705 5.2792 -41.8702 -44.1177 1.0047 0.9790 1.0062 -0.0035 -0.0002 -0.0054\n", " + - param set #9 has cost=-0.026880 [o=87 t=8]\n", " + -- Parameters = 80.6211 10.7956 31.8627 39.3826 -23.6462 -12.7049 0.9977 1.0051 0.9899 -0.0002 0.0006 -0.0006\n", " + - param set #10 has cost=-0.025438 [o=23 t=9]\n", " + -- Parameters = 88.5119 -12.3057 -34.5255 -12.2625 11.3388 4.8335 1.0036 0.9951 0.9911 0.0147 -0.0003 -0.0010\n", " + - param set #11 has cost=-0.025056 [o=68 t=10]\n", " + -- Parameters = 95.0321 11.2848 -41.6982 -27.1384 18.0539 -14.7625 0.9967 0.9975 1.0046 0.0010 -0.0017 -0.0002\n", " + - param set #12 has cost=-0.026301 [o=20 t=11]\n", " + -- Parameters = 99.7295 -29.7606 26.8107 -4.8322 -28.5727 -34.7626 1.0025 0.9939 1.0000 0.0001 -0.0010 0.0011\n", " + - param set #13 has cost=-0.024785 [o=26 t=12]\n", " + -- Parameters = 112.7484 -13.9672 -35.1899 -28.0512 24.1536 4.0959 0.9974 1.0021 1.0031 -0.0009 0.0004 -0.0004\n", " + - param set #14 has cost=-0.023818 [o=55 t=13]\n", " + -- Parameters = 102.3059 23.5118 -40.3609 -8.3749 -15.9182 41.1731 0.9987 1.0004 1.0059 0.0001 -0.0012 -0.0005\n", " + - param set #15 has cost=-0.025346 [o=13 t=14]\n", " + -- Parameters = 95.5049 -16.5664 34.3042 14.7561 -38.9196 -27.3528 1.0042 1.0061 0.9993 0.0005 -0.0002 -0.0014\n", " + - param set #16 has cost=-0.028890 [o=59 t=15]\n", " + -- Parameters = 121.0495 -8.3479 38.2577 35.4740 -28.4600 -2.1114 0.9475 0.9673 0.9742 0.0001 -0.0099 0.0125\n", " + - param set #17 has cost=-0.022857 [o=33 t=16]\n", " + -- Parameters = 111.2125 17.7604 -33.8452 -44.8026 10.9680 21.5318 0.9972 1.0001 1.0062 -0.0000 0.0110 -0.0001\n", " + - param set #18 has cost=-0.024121 [o=70 t=17]\n", " + -- Parameters = 84.6139 -14.8654 -35.5807 -6.2385 9.4374 4.5597 0.9971 1.0019 0.9957 -0.0008 0.0001 -0.0020\n", " + - param set #19 has cost=-0.026862 [o=81 t=18]\n", " + -- Parameters = 100.4019 15.0228 -35.6483 -31.5537 6.5158 -4.5506 0.9870 0.9952 0.9971 0.0007 0.0006 0.0008\n", " + - param set #20 has cost=-0.019718 [o=74 t=19]\n", " + -- Parameters = 66.3511 14.9204 -34.0041 33.9302 20.6377 -10.4785 0.9995 1.0003 0.9990 0.0002 -0.0001 -0.0002\n", " + - param set #21 has cost=-0.024596 [o=61 t=20]\n", " + -- Parameters = 94.9530 -15.7971 34.3648 21.1914 -38.2038 -26.5993 0.9967 1.0153 0.9925 0.0030 0.0004 -0.0029\n", " + - param set #22 has cost=-0.030211 [o=42 t=21]\n", " + -- Parameters = 125.4314 -20.5678 -30.0616 11.1232 -9.1532 7.8234 0.9842 0.9823 0.9478 -0.0144 -0.0209 0.0117\n", " + - param set #23 has cost=-0.022798 [o=15 t=22]\n", " + -- Parameters = 119.2795 0.0863 -39.9379 -13.8465 11.2937 -14.2121 0.9972 0.9982 1.0023 0.0015 -0.0005 -0.0005\n", " + - param set #24 has cost=-0.022617 [o=24 t=23]\n", " + -- Parameters = 119.5177 -7.0698 -37.4677 -10.8037 4.7487 -13.3916 1.0004 1.0044 0.9954 0.0003 -0.0039 -0.0012\n", " + - param set #25 has cost=-0.025054 [o=12 t=24]\n", " + -- Parameters = 90.2415 19.2854 31.2812 30.8214 -12.2280 -26.6292 0.9929 0.9856 0.9532 -0.0054 0.0058 -0.0182\n", " + - param set #26 has cost=-0.022589 [o=8 t=25]\n", " + -- Parameters = 92.2565 -0.3541 27.7222 -37.8739 16.7082 -34.1457 1.0015 0.9972 0.9965 0.0001 0.0001 -0.0009\n", " + - param set #27 has cost=-0.023658 [o=43 t=26]\n", " + -- Parameters = 67.8001 10.6026 -38.1869 20.2024 17.6918 -6.5006 0.9989 0.9962 0.9715 0.0005 -0.0034 0.0218\n", " + - param set #28 has cost=-0.023512 [o=3 t=27]\n", " + -- Parameters = 93.6271 -30.3348 25.2672 6.4093 -34.2989 -30.7456 1.0028 0.9979 1.0102 0.0018 0.0004 -0.0028\n", " + - param set #29 has cost=-0.022179 [o=53 t=28]\n", " + -- Parameters = 119.1053 -8.1075 -39.0073 -32.2735 24.1427 -0.5844 0.9994 1.0016 1.0011 -0.0012 0.0000 0.0001\n", "*[#23803=-0.181994] *[#23804=-0.182059] *[#23808=-0.182443] *[#23813=-0.182802] *[#23817=-0.182824] *[#23821=-0.183125] \n", " + - param set #30 has cost=-0.183125 [o=-1 t=-1]\n", " + -- Parameters = 86.2790 -2.9386 0.2322 -0.5467 -0.0139 0.1276 0.9790 1.0183 0.9889 0.0075 0.0058 -0.0075\n", " + - sorting parameter sets by cost\n", " + - scanning for distances from #1\n", " + --- dist(#2,#1) = 0.0636 \n", " + --- dist(#3,#1) = 0.467 \n", " + --- dist(#4,#1) = 0.489 \n", " + --- dist(#5,#1) = 0.47 \n", " + --- dist(#6,#1) = 0.475 \n", " + --- dist(#7,#1) = 0.47 \n", " + --- dist(#8,#1) = 0.492 \n", " + --- dist(#9,#1) = 0.471 \n", " + --- dist(#10,#1) = 0.444 \n", " + --- dist(#11,#1) = 0.449 \n", " + --- dist(#12,#1) = 0.388 \n", " + --- dist(#13,#1) = 0.474 \n", " + --- dist(#14,#1) = 0.434 \n", " + --- dist(#15,#1) = 0.432 \n", " + --- dist(#16,#1) = 0.504 \n", " + --- dist(#17,#1) = 0.524 \n", " + --- dist(#18,#1) = 0.388 \n", " + --- dist(#19,#1) = 0.443 \n", " + --- dist(#20,#1) = 0.427 \n", " + --- dist(#21,#1) = 0.448 \n", " + --- dist(#22,#1) = 0.507 \n", " + --- dist(#23,#1) = 0.48 \n", " + --- dist(#24,#1) = 0.381 \n", " + --- dist(#25,#1) = 0.492 \n", " + --- dist(#26,#1) = 0.502 \n", " + --- dist(#27,#1) = 0.471 \n", " + --- dist(#28,#1) = 0.415 \n", " + --- dist(#29,#1) = 0.49 \n", " + --- dist(#30,#1) = 0.428 \n", "++ Start refinement #2 on 30 coarse parameter sets\n", " + * Enter alignment setup routine\n", " + - Smoothing base; radius=2.42\n", " + - Smoothing source; radius=2.42\n", " + !source mask fill: ubot=64 usiz=159.5\n", " + - retaining old weight image\n", " + - using 38906 points from base image [use_all=2]\n", " + * Exit alignment setup routine\n", " + 31999 total points stored in 64 'TOHD(17.2644)' bloks (0 duplicates)\n", "*[#23823=-0.208583] *[#23853=-0.209083] *[#23856=-0.209692] *[#23857=-0.21004] *[#23858=-0.210473] *[#23859=-0.210652] *[#23861=-0.210912] *[#23862=-0.21108] *[#23863=-0.211096] *[#23864=-0.211318] *[#23865=-0.211465] *[#23868=-0.211558] *[#23871=-0.211598] *[#23874=-0.211605] *[#23876=-0.211804] *[#23880=-0.211892] *[#23883=-0.212487] *[#23884=-0.212638] *[#23887=-0.212807] *[#23889=-0.212858] *[#23890=-0.212946] *[#23891=-0.213045] *[#23892=-0.213054] *[#23893=-0.213085] *[#23896=-0.213618] *[#23897=-0.214048] *[#23898=-0.2143] *[#23899=-0.214697] *[#23902=-0.214782] *[#23904=-0.215131] *[#23907=-0.215508] *[#23908=-0.21602] *[#23909=-0.21655] *[#23910=-0.216938] *[#23911=-0.21729] *[#23912=-0.217316] *[#23913=-0.217499] *[#23914=-0.217762] *[#23915=-0.217858] *[#23920=-0.218401] *[#23921=-0.218462] *[#23922=-0.218657] *[#23925=-0.219463] *[#23926=-0.219544] *[#23927=-0.219959] *[#23928=-0.220151] *[#23931=-0.220227] \n", " + - param set #1 has cost=-0.220227 [o=-1 t=-1]\n", " + -- Parameters = 86.5690 -3.1646 -0.1381 -0.8542 -1.9133 -0.7763 0.9848 1.0171 0.9535 -0.0108 0.0209 -0.0382\n", " + - param set #2 has cost=-0.216445 [o=0 t=0]\n", " + -- Parameters = 86.4148 -3.1639 -0.1179 -0.8652 -0.7590 -0.0405 0.9867 1.0242 0.9680 -0.0151 0.0021 -0.0159\n", " + - param set #3 has cost=-0.027810 [o=2 t=2]\n", " + -- Parameters = 97.2032 -22.9052 36.6921 -10.4554 -42.1013 -25.7685 0.9914 0.9972 0.9931 -0.0021 0.0004 0.0019\n", " + - param set #4 has cost=-0.030534 [o=42 t=21]\n", " + -- Parameters = 124.9320 -22.0031 -26.3056 8.7231 -2.9528 10.9929 0.9078 0.9429 0.9127 -0.0312 -0.0436 -0.0116\n", " + - param set #5 has cost=-0.024661 [o=19 t=1]\n", " + -- Parameters = 120.2512 31.5807 37.8833 31.4755 -11.7813 -0.9877 1.0280 0.9922 0.9858 -0.0015 0.0013 0.0011\n", " + - param set #6 has cost=-0.022586 [o=59 t=15]\n", " + -- Parameters = 121.0138 -8.5765 38.2813 35.5698 -28.5095 -2.1222 0.9444 0.9668 0.9787 0.0009 -0.0099 0.0127\n", " + - param set #7 has cost=-0.024438 [o=11 t=4]\n", " + -- Parameters = 122.3828 3.2625 37.8905 32.0936 -27.2969 -8.9957 0.9996 1.0008 0.9996 -0.0003 -0.0004 0.0002\n", " + - param set #8 has cost=-0.022973 [o=6 t=7]\n", " + -- Parameters = 124.5990 -28.5221 20.3574 5.1992 -41.4910 -44.5459 1.0133 0.9665 0.9986 -0.0044 -0.0021 -0.0082\n", " + - param set #9 has cost=-0.023141 [o=21 t=5]\n", " + -- Parameters = 115.3082 31.2509 37.9653 28.2268 -10.2700 2.1299 0.9881 0.9725 1.0137 0.0031 -0.0002 -0.0013\n", " + - param set #10 has cost=-0.020712 [o=87 t=8]\n", " + -- Parameters = 80.6871 10.7820 31.8608 39.2432 -23.8256 -12.8107 0.9960 1.0010 0.9862 0.0001 -0.0012 -0.0004\n", " + - param set #11 has cost=-0.023867 [o=81 t=18]\n", " + -- Parameters = 100.9144 15.5630 -35.5687 -30.9887 7.2817 -4.8546 0.9920 1.0234 0.9953 -0.0013 0.0007 -0.0033\n", " + - param set #12 has cost=-0.022773 [o=20 t=11]\n", " + -- Parameters = 99.3746 -29.8610 26.9858 -5.3618 -28.5046 -34.3145 1.0066 0.9859 1.0136 -0.0014 0.0000 0.0010\n", " + - param set #13 has cost=-0.021875 [o=27 t=3]\n", " + -- Parameters = 124.5604 -15.0908 37.9811 33.1165 -31.3178 -4.2711 1.0069 1.0029 0.9948 0.0004 0.0007 0.0018\n", " + - param set #14 has cost=-0.018972 [o=23 t=9]\n", " + -- Parameters = 88.7944 -12.1116 -34.5232 -12.0411 11.5798 4.8169 1.0017 0.9955 0.9899 0.0150 0.0007 -0.0000\n", " + - param set #15 has cost=-0.022093 [o=13 t=14]\n", " + -- Parameters = 94.6722 -16.0639 34.9181 15.7936 -38.3548 -28.1825 0.9908 0.9977 0.9904 -0.0019 -0.0004 -0.0028\n", " + - param set #16 has cost=-0.019604 [o=76 t=6]\n", " + -- Parameters = 84.2874 4.5998 -40.1267 21.8844 10.7009 4.2715 1.0055 0.9996 1.0026 -0.0011 -0.0010 0.0040\n", " + - param set #17 has cost=-0.018545 [o=68 t=10]\n", " + -- Parameters = 94.9844 11.4663 -41.6971 -27.1688 18.1245 -14.7945 0.9941 1.0035 1.0045 0.0090 -0.0015 -0.0008\n", " + - param set #18 has cost=-0.022035 [o=12 t=24]\n", " + -- Parameters = 90.4553 19.1335 31.0461 30.9460 -12.3561 -27.0333 0.9931 0.9841 0.9491 -0.0063 0.0070 -0.0183\n", " + - param set #19 has cost=-0.017809 [o=26 t=12]\n", " + -- Parameters = 112.7930 -14.0675 -34.9825 -28.0190 24.1066 3.9824 0.9955 1.0005 1.0055 -0.0008 0.0082 -0.0007\n", " + - param set #20 has cost=-0.022233 [o=61 t=20]\n", " + -- Parameters = 94.9835 -15.7922 34.2528 21.3591 -38.3023 -26.6743 0.9942 1.0155 0.9949 0.0025 0.0007 -0.0032\n", " + - param set #21 has cost=-0.021028 [o=70 t=17]\n", " + -- Parameters = 86.4718 -14.4547 -34.6323 -6.2583 9.6649 3.7010 0.9942 0.9844 0.9884 0.0090 0.0005 -0.0028\n", " + - param set #22 has cost=-0.017872 [o=55 t=13]\n", " + -- Parameters = 102.4708 23.5267 -40.2705 -8.5359 -16.0124 41.0981 1.0009 0.9972 1.0084 -0.0001 -0.0017 -0.0010\n", " + - param set #23 has cost=-0.017721 [o=43 t=26]\n", " + -- Parameters = 67.4275 10.6734 -38.2748 20.0915 17.9131 -6.3259 0.9971 0.9935 0.9725 0.0008 0.0052 0.0220\n", " + - param set #24 has cost=-0.020349 [o=3 t=27]\n", " + -- Parameters = 92.5580 -30.5120 25.0446 5.9667 -33.9224 -32.3783 0.9901 0.9827 0.9962 0.0134 0.0054 -0.0044\n", " + - param set #25 has cost=-0.018272 [o=33 t=16]\n", " + -- Parameters = 110.7879 17.5217 -34.1652 -44.9186 11.3923 22.6426 0.9815 0.9941 0.9763 -0.0011 0.0224 -0.0024\n", " + - param set #26 has cost=-0.016165 [o=15 t=22]\n", " + -- Parameters = 119.3371 0.1366 -40.0015 -13.9032 11.2916 -14.2405 0.9960 0.9969 1.0033 0.0023 -0.0007 -0.0005\n", " + - param set #27 has cost=-0.017790 [o=24 t=23]\n", " + -- Parameters = 119.5484 -7.0770 -37.5706 -10.9167 4.8044 -13.1528 1.0001 1.0034 0.9886 -0.0026 0.0023 -0.0026\n", " + - param set #28 has cost=-0.021054 [o=8 t=25]\n", " + -- Parameters = 92.1249 -0.7941 28.1167 -37.9315 16.4735 -34.0354 0.9818 0.9814 0.9791 -0.0018 -0.0013 -0.0009\n", " + - param set #29 has cost=-0.015293 [o=53 t=28]\n", " + -- Parameters = 119.0922 -8.1040 -38.9836 -32.2314 24.1018 -0.5725 1.0000 1.0027 1.0031 -0.0012 0.0001 0.0002\n", " + - param set #30 has cost=-0.014662 [o=74 t=19]\n", " + -- Parameters = 66.4003 14.9545 -34.0002 33.9259 20.6687 -10.5010 0.9998 1.0006 0.9992 0.0001 -0.0000 0.0007\n", " + - sorting parameter sets by cost\n", " + - scanning for distances from #1\n", " + --- dist(#2,#1) = 0.1 \n", " + --- dist(#3,#1) = 0.48 \n", " + --- dist(#4,#1) = 0.46 \n", " + --- dist(#5,#1) = 0.475 \n", " + --- dist(#6,#1) = 0.475 \n", " + --- dist(#7,#1) = 0.443 \n", " + --- dist(#8,#1) = 0.476 \n", " + --- dist(#9,#1) = 0.486 \n", " + --- dist(#10,#1) = 0.373 \n", " + --- dist(#11,#1) = 0.48 \n", " + --- dist(#12,#1) = 0.43 \n", " + --- dist(#13,#1) = 0.438 \n", " + --- dist(#14,#1) = 0.39 \n", " + --- dist(#15,#1) = 0.476 \n", " + --- dist(#16,#1) = 0.412 \n", " + --- dist(#17,#1) = 0.431 \n", " + --- dist(#18,#1) = 0.446 \n", " + --- dist(#19,#1) = 0.356 \n", " + --- dist(#20,#1) = 0.5 \n", " + --- dist(#21,#1) = 0.43 \n", " + --- dist(#22,#1) = 0.519 \n", " + --- dist(#23,#1) = 0.49 \n", " + --- dist(#24,#1) = 0.502 \n", " + --- dist(#25,#1) = 0.436 \n", " + --- dist(#26,#1) = 0.468 \n", " + --- dist(#27,#1) = 0.477 \n", " + --- dist(#28,#1) = 0.498 \n", " + --- dist(#29,#1) = 0.486 \n", " + --- dist(#30,#1) = 0.423 \n", "++ Start refinement #3 on 30 coarse parameter sets\n", " + * Enter alignment setup routine\n", " + - Smoothing base; radius=1.88\n", " + - Smoothing source; radius=1.88\n", " + !source mask fill: ubot=64 usiz=159.5\n", " + - retaining old weight image\n", " + - using 38906 points from base image [use_all=2]\n", " + * Exit alignment setup routine\n", " + 32677 total points stored in 67 'TOHD(17.1973)' bloks (0 duplicates)\n", "*[#26935=-0.23117] *[#26944=-0.232084] *[#26959=-0.2323] *[#26962=-0.232318] *[#26964=-0.232417] *[#26965=-0.232543] *[#26966=-0.232579] *[#26967=-0.232897] *[#26968=-0.233239] *[#26970=-0.233374] *[#26971=-0.233673] *[#26972=-0.233862] *[#26973=-0.234107] *[#26976=-0.234183] *[#26979=-0.234351] *[#26982=-0.234738] *[#26989=-0.234754] *[#26991=-0.234778] *[#26993=-0.234835] *[#26994=-0.234875] *[#26995=-0.23489] *[#26998=-0.234922] *[#27003=-0.234952] *[#27008=-0.23499] *[#27022=-0.235079] *[#27024=-0.235114] *[#27025=-0.235125] *[#27026=-0.235141] *[#27029=-0.235189] *[#27030=-0.235209] *[#27033=-0.235232] *[#27034=-0.235249] *[#27037=-0.235325] *[#27038=-0.235358] *[#27039=-0.235442] *[#27044=-0.235475] *[#27045=-0.235495] *[#27046=-0.235521] *[#27047=-0.235525] *[#27049=-0.235599] *[#27050=-0.235614] *[#27052=-0.235647] *[#27054=-0.235672] \n", " + - param set #1 has cost=-0.235672 [o=-1 t=-1]\n", " + -- Parameters = 86.4793 -3.3380 0.0217 -0.7549 -2.1405 -0.4338 0.9891 1.0267 0.9753 -0.0112 0.0131 -0.0443\n", " + - param set #2 has cost=-0.234666 [o=0 t=0]\n", " + -- Parameters = 86.4372 -3.2322 -0.0269 -0.6424 -1.6709 -0.2772 0.9885 1.0248 0.9691 -0.0071 0.0076 -0.0358\n", " + - param set #3 has cost=-0.025822 [o=42 t=21]\n", " + -- Parameters = 124.8635 -21.9185 -26.3384 8.9122 -2.8957 11.2486 0.9066 0.9500 0.9146 -0.0262 -0.0428 -0.0111\n", " + - param set #4 has cost=-0.024015 [o=2 t=2]\n", " + -- Parameters = 96.9853 -22.6084 36.5331 -10.5646 -42.3502 -25.8919 0.9936 0.9938 0.9909 -0.0015 0.0015 0.0018\n", " + - param set #5 has cost=-0.020677 [o=19 t=1]\n", " + -- Parameters = 120.2836 31.7782 37.8573 31.4903 -11.7839 -1.0432 1.0280 0.9925 0.9857 -0.0018 0.0016 0.0008\n", " + - param set #6 has cost=-0.021109 [o=11 t=4]\n", " + -- Parameters = 122.3854 3.2395 37.8890 32.1032 -27.2846 -8.9726 0.9996 1.0025 0.9997 -0.0002 -0.0004 0.0002\n", " + - param set #7 has cost=-0.021742 [o=81 t=18]\n", " + -- Parameters = 100.8685 15.8940 -35.1960 -31.0087 7.4956 -4.8791 0.9890 1.0230 0.9984 -0.0014 0.0064 -0.0026\n", " + - param set #8 has cost=-0.019976 [o=21 t=5]\n", " + -- Parameters = 115.3360 31.3654 37.9305 28.3074 -10.2193 2.1137 0.9882 0.9720 1.0138 0.0030 0.0001 -0.0012\n", " + - param set #9 has cost=-0.019055 [o=6 t=7]\n", " + -- Parameters = 124.6007 -28.5691 20.2957 5.1816 -41.5171 -44.5870 1.0131 0.9665 0.9992 -0.0041 -0.0017 -0.0082\n", " + - param set #10 has cost=-0.019574 [o=20 t=11]\n", " + -- Parameters = 99.3866 -29.8615 26.9020 -5.3338 -28.4230 -34.3867 1.0113 0.9855 1.0194 -0.0030 -0.0004 0.0010\n", " + - param set #11 has cost=-0.019180 [o=59 t=15]\n", " + -- Parameters = 120.9740 -8.5507 38.2855 35.6054 -28.5926 -2.1032 0.9445 0.9658 0.9799 0.0065 -0.0097 0.0127\n", " + - param set #12 has cost=-0.018566 [o=61 t=20]\n", " + -- Parameters = 95.1214 -16.0331 34.2759 18.9140 -38.5791 -27.1663 0.9916 1.0140 0.9960 0.0012 0.0011 -0.0035\n", " + - param set #13 has cost=-0.018186 [o=13 t=14]\n", " + -- Parameters = 94.6948 -15.8655 35.0391 15.9754 -38.3484 -28.1206 0.9895 1.0072 0.9927 -0.0019 0.0009 -0.0027\n", " + - param set #14 has cost=-0.018618 [o=12 t=24]\n", " + -- Parameters = 90.7229 19.1250 31.4046 30.8607 -12.3845 -26.7735 0.9996 0.9886 0.9229 -0.0090 0.0068 -0.0166\n", " + - param set #15 has cost=-0.018967 [o=27 t=3]\n", " + -- Parameters = 124.5882 -14.9891 37.9295 33.0540 -31.2298 -4.2381 1.0065 1.0007 0.9931 -0.0009 0.0053 0.0016\n", " + - param set #16 has cost=-0.017468 [o=8 t=25]\n", " + -- Parameters = 92.1824 -0.8246 28.2401 -37.9242 16.3884 -33.9570 0.9830 0.9798 0.9728 -0.0014 -0.0014 -0.0006\n", " + - param set #17 has cost=-0.018075 [o=70 t=17]\n", " + -- Parameters = 86.9585 -14.1999 -34.6419 -5.8658 10.1152 3.4199 0.9923 0.9807 0.9588 0.0087 0.0037 -0.0025\n", " + - param set #18 has cost=-0.016481 [o=87 t=8]\n", " + -- Parameters = 80.8196 10.8792 31.9415 39.1021 -23.3509 -12.5253 0.9963 0.9912 0.9875 -0.0009 -0.0018 0.0008\n", " + - param set #19 has cost=-0.017711 [o=3 t=27]\n", " + -- Parameters = 92.2159 -30.5634 24.8590 5.7157 -33.5922 -32.8620 0.9876 0.9841 0.9895 0.0194 0.0052 -0.0038\n", " + - param set #20 has cost=-0.021740 [o=76 t=6]\n", " + -- Parameters = 83.8861 4.6151 -39.5617 21.7046 10.7784 4.3335 1.0048 1.0034 1.0216 -0.0014 -0.0017 0.0062\n", " + - param set #21 has cost=-0.015678 [o=23 t=9]\n", " + -- Parameters = 88.9620 -11.8477 -34.5045 -12.1120 11.6847 4.7198 0.9995 0.9920 0.9895 0.0145 0.0006 -0.0002\n", " + - param set #22 has cost=-0.016589 [o=68 t=10]\n", " + -- Parameters = 94.9995 11.4811 -41.7072 -27.1686 18.0982 -14.7609 0.9953 1.0045 1.0033 0.0090 -0.0015 -0.0005\n", " + - param set #23 has cost=-0.016828 [o=33 t=16]\n", " + -- Parameters = 110.5268 17.5289 -34.6249 -44.8163 11.5456 22.9792 0.9797 1.0014 0.9661 -0.0008 0.0213 0.0032\n", " + - param set #24 has cost=-0.016103 [o=55 t=13]\n", " + -- Parameters = 101.9900 23.5558 -40.5738 -5.7638 -15.8114 40.9105 1.0031 0.9992 1.0094 0.0007 -0.0004 -0.0003\n", " + - param set #25 has cost=-0.014262 [o=26 t=12]\n", " + -- Parameters = 112.7557 -14.0757 -34.9144 -28.0999 24.1661 4.0230 0.9951 1.0018 1.0066 0.0048 0.0082 -0.0003\n", " + - param set #26 has cost=-0.012861 [o=24 t=23]\n", " + -- Parameters = 119.4894 -7.0076 -37.7482 -11.0534 5.0314 -12.8294 0.9963 1.0036 0.9832 -0.0072 0.0027 -0.0031\n", " + - param set #27 has cost=-0.017379 [o=43 t=26]\n", " + -- Parameters = 66.9122 8.7775 -38.5261 20.0114 18.3468 -6.1556 0.9969 0.9943 0.9711 0.0009 0.0066 0.0213\n", " + - param set #28 has cost=-0.012238 [o=15 t=22]\n", " + -- Parameters = 119.3286 0.1633 -40.0271 -13.9141 11.3075 -14.2199 0.9960 0.9968 1.0031 0.0023 -0.0007 -0.0006\n", " + - param set #29 has cost=-0.013300 [o=53 t=28]\n", " + -- Parameters = 118.9961 -8.2432 -38.8829 -34.5285 24.2673 -0.6308 1.0005 1.0040 1.0051 -0.0013 0.0007 0.0002\n", " + - param set #30 has cost=-0.012264 [o=74 t=19]\n", " + -- Parameters = 66.4348 14.9373 -34.0290 33.9352 20.6722 -10.4953 0.9986 1.0022 0.9993 0.0001 0.0001 0.0009\n", " + - sorting parameter sets by cost\n", " + - scanning for distances from #1\n", " + --- dist(#2,#1) = 0.0383 \n", " + --- dist(#3,#1) = 0.48 \n", " + --- dist(#4,#1) = 0.456 \n", " + --- dist(#5,#1) = 0.44 \n", " + --- dist(#6,#1) = 0.495 \n", " + --- dist(#7,#1) = 0.473 \n", " + --- dist(#8,#1) = 0.473 \n", " + --- dist(#9,#1) = 0.474 \n", " + --- dist(#10,#1) = 0.377 \n", " + --- dist(#11,#1) = 0.478 \n", " + --- dist(#12,#1) = 0.491 \n", " + --- dist(#13,#1) = 0.476 \n", " + --- dist(#14,#1) = 0.392 \n", " + --- dist(#15,#1) = 0.428 \n", " + --- dist(#16,#1) = 0.438 \n", " + --- dist(#17,#1) = 0.433 \n", " + --- dist(#18,#1) = 0.36 \n", " + --- dist(#19,#1) = 0.413 \n", " + --- dist(#20,#1) = 0.482 \n", " + --- dist(#21,#1) = 0.49 \n", " + --- dist(#22,#1) = 0.522 \n", " + --- dist(#23,#1) = 0.443 \n", " + --- dist(#24,#1) = 0.507 \n", " + --- dist(#25,#1) = 0.432 \n", " + --- dist(#26,#1) = 0.437 \n", " + --- dist(#27,#1) = 0.486 \n", " + --- dist(#28,#1) = 0.472 \n", " + --- dist(#29,#1) = 0.426 \n", " + --- dist(#30,#1) = 0.501 \n", " + - Total coarse refinement net CPU time = 0.0 s; 9153 funcs\n", "++ *** Fine pass begins ***\n", " + * Enter alignment setup routine\n", " + - Smoothing base; radius=1.00\n", " + - Smoothing source; radius=1.00\n", " + !source mask fill: ubot=64 usiz=159.5\n", " + - retaining old weight image\n", " + * Exit alignment setup routine\n", "++ Picking best parameter set out of 31 cases\n", " + 32726 total points stored in 68 'TOHD(17.1233)' bloks (0 duplicates)\n", " + - cost(#1)=-0.229302 * [o=-1 t=-1]\n", " + -- Parameters = 86.4793 -3.3380 0.0217 -0.7549 -2.1405 -0.4338 0.9891 1.0267 0.9753 -0.0112 0.0131 -0.0443\n", " + - cost(#2)=-0.228654 [o=0 t=0]\n", " + -- Parameters = 86.4372 -3.2322 -0.0269 -0.6424 -1.6709 -0.2772 0.9885 1.0248 0.9691 -0.0071 0.0076 -0.0358\n", " + - cost(#3)=-0.020796 [o=42 t=21]\n", " + -- Parameters = 124.8635 -21.9185 -26.3384 8.9122 -2.8957 11.2486 0.9066 0.9500 0.9146 -0.0262 -0.0428 -0.0111\n", " + - cost(#4)=-0.021017 [o=2 t=2]\n", " + -- Parameters = 96.9853 -22.6084 36.5331 -10.5646 -42.3502 -25.8919 0.9936 0.9938 0.9909 -0.0015 0.0015 0.0018\n", " + - cost(#5)=-0.019426 [o=81 t=18]\n", " + -- Parameters = 100.8685 15.8940 -35.1960 -31.0087 7.4956 -4.8791 0.9890 1.0230 0.9984 -0.0014 0.0064 -0.0026\n", " + - cost(#6)=-0.019844 [o=76 t=6]\n", " + -- Parameters = 83.8861 4.6151 -39.5617 21.7046 10.7784 4.3335 1.0048 1.0034 1.0216 -0.0014 -0.0017 0.0062\n", " + - cost(#7)=-0.018617 [o=11 t=4]\n", " + -- Parameters = 122.3854 3.2395 37.8890 32.1032 -27.2846 -8.9726 0.9996 1.0025 0.9997 -0.0002 -0.0004 0.0002\n", " + - cost(#8)=-0.016587 [o=19 t=1]\n", " + -- Parameters = 120.2836 31.7782 37.8573 31.4903 -11.7839 -1.0432 1.0280 0.9925 0.9857 -0.0018 0.0016 0.0008\n", " + - cost(#9)=-0.017151 [o=21 t=5]\n", " + -- Parameters = 115.3360 31.3654 37.9305 28.3074 -10.2193 2.1137 0.9882 0.9720 1.0138 0.0030 0.0001 -0.0012\n", " + - cost(#10)=-0.018519 [o=20 t=11]\n", " + -- Parameters = 99.3866 -29.8615 26.9020 -5.3338 -28.4230 -34.3867 1.0113 0.9855 1.0194 -0.0030 -0.0004 0.0010\n", " + - cost(#11)=-0.016436 [o=59 t=15]\n", " + -- Parameters = 120.9740 -8.5507 38.2855 35.6054 -28.5926 -2.1032 0.9445 0.9658 0.9799 0.0065 -0.0097 0.0127\n", " + - cost(#12)=-0.016901 [o=6 t=7]\n", " + -- Parameters = 124.6007 -28.5691 20.2957 5.1816 -41.5171 -44.5870 1.0131 0.9665 0.9992 -0.0041 -0.0017 -0.0082\n", " + - cost(#13)=-0.016877 [o=27 t=3]\n", " + -- Parameters = 124.5882 -14.9891 37.9295 33.0540 -31.2298 -4.2381 1.0065 1.0007 0.9931 -0.0009 0.0053 0.0016\n", " + - cost(#14)=-0.016763 [o=12 t=24]\n", " + -- Parameters = 90.7229 19.1250 31.4046 30.8607 -12.3845 -26.7735 0.9996 0.9886 0.9229 -0.0090 0.0068 -0.0166\n", " + - cost(#15)=-0.016364 [o=61 t=20]\n", " + -- Parameters = 95.1214 -16.0331 34.2759 18.9140 -38.5791 -27.1663 0.9916 1.0140 0.9960 0.0012 0.0011 -0.0035\n", " + - cost(#16)=-0.015450 [o=13 t=14]\n", " + -- Parameters = 94.6948 -15.8655 35.0391 15.9754 -38.3484 -28.1206 0.9895 1.0072 0.9927 -0.0019 0.0009 -0.0027\n", " + - cost(#17)=-0.016063 [o=70 t=17]\n", " + -- Parameters = 86.9585 -14.1999 -34.6419 -5.8658 10.1152 3.4199 0.9923 0.9807 0.9588 0.0087 0.0037 -0.0025\n", " + - cost(#18)=-0.015527 [o=3 t=27]\n", " + -- Parameters = 92.2159 -30.5634 24.8590 5.7157 -33.5922 -32.8620 0.9876 0.9841 0.9895 0.0194 0.0052 -0.0038\n", " + - cost(#19)=-0.015525 [o=8 t=25]\n", " + -- Parameters = 92.1824 -0.8246 28.2401 -37.9242 16.3884 -33.9570 0.9830 0.9798 0.9728 -0.0014 -0.0014 -0.0006\n", " + - cost(#20)=-0.016496 [o=43 t=26]\n", " + -- Parameters = 66.9122 8.7775 -38.5261 20.0114 18.3468 -6.1556 0.9969 0.9943 0.9711 0.0009 0.0066 0.0213\n", " + - cost(#21)=-0.014669 [o=33 t=16]\n", " + -- Parameters = 110.5268 17.5289 -34.6249 -44.8163 11.5456 22.9792 0.9797 1.0014 0.9661 -0.0008 0.0213 0.0032\n", " + - cost(#22)=-0.015020 [o=68 t=10]\n", " + -- Parameters = 94.9995 11.4811 -41.7072 -27.1686 18.0982 -14.7609 0.9953 1.0045 1.0033 0.0090 -0.0015 -0.0005\n", " + - cost(#23)=-0.014942 [o=87 t=8]\n", " + -- Parameters = 80.8196 10.8792 31.9415 39.1021 -23.3509 -12.5253 0.9963 0.9912 0.9875 -0.0009 -0.0018 0.0008\n", " + - cost(#24)=-0.014574 [o=55 t=13]\n", " + -- Parameters = 101.9900 23.5558 -40.5738 -5.7638 -15.8114 40.9105 1.0031 0.9992 1.0094 0.0007 -0.0004 -0.0003\n", " + - cost(#25)=-0.014193 [o=23 t=9]\n", " + -- Parameters = 88.9620 -11.8477 -34.5045 -12.1120 11.6847 4.7198 0.9995 0.9920 0.9895 0.0145 0.0006 -0.0002\n", " + - cost(#26)=-0.012148 [o=26 t=12]\n", " + -- Parameters = 112.7557 -14.0757 -34.9144 -28.0999 24.1661 4.0230 0.9951 1.0018 1.0066 0.0048 0.0082 -0.0003\n", " + - cost(#27)=-0.012000 [o=53 t=28]\n", " + -- Parameters = 118.9961 -8.2432 -38.8829 -34.5285 24.2673 -0.6308 1.0005 1.0040 1.0051 -0.0013 0.0007 0.0002\n", " + - cost(#28)=-0.011452 [o=24 t=23]\n", " + -- Parameters = 119.4894 -7.0076 -37.7482 -11.0534 5.0314 -12.8294 0.9963 1.0036 0.9832 -0.0072 0.0027 -0.0031\n", " + - cost(#29)=-0.011364 [o=74 t=19]\n", " + -- Parameters = 66.4348 14.9373 -34.0290 33.9352 20.6722 -10.4953 0.9986 1.0022 0.9993 0.0001 0.0001 0.0009\n", " + - cost(#30)=-0.010783 [o=15 t=22]\n", " + -- Parameters = 119.3286 0.1633 -40.0271 -13.9141 11.3075 -14.2199 0.9960 0.9968 1.0031 0.0023 -0.0007 -0.0006\n", " + - cost(#31)=-0.129342 [o=-2 t=-2]\n", " + -- Parameters = 86.1901 -3.4407 -1.7088 0.0000 0.0000 0.0000 1.0000 1.0000 1.0000 0.0000 0.0000 0.0000\n", " + -num_rtb 99 ==> refine all 31 cases\n", " + - cost(#1)=-0.229705 * [o=-1 t=-1]\n", " + -- Parameters = 86.4786 -3.3794 0.0456 -0.7344 -2.0985 -0.4671 0.9912 1.0266 0.9763 -0.0110 0.0121 -0.0449\n", " + - cost(#2)=-0.229554 [o=0 t=0]\n", " + -- Parameters = 86.4108 -3.3549 0.0075 -0.6847 -1.9108 -0.2988 0.9897 1.0254 0.9729 -0.0093 0.0067 -0.0411\n", " + - cost(#3)=-0.020800 [o=42 t=21]\n", " + -- Parameters = 124.8687 -21.9275 -26.3385 8.9060 -2.8977 11.2572 0.9066 0.9499 0.9145 -0.0261 -0.0428 -0.0111\n", " + - cost(#4)=-0.021932 [o=2 t=2]\n", " + -- Parameters = 96.7132 -21.8547 37.0594 -11.0616 -41.9192 -26.4843 0.9931 0.9931 0.9950 -0.0013 0.0013 0.0069\n", " + - cost(#5)=-0.019536 [o=81 t=18]\n", " + -- Parameters = 100.8433 15.8919 -35.1646 -30.9880 7.4855 -4.8544 0.9870 1.0216 0.9993 -0.0015 0.0070 -0.0025\n", " + - cost(#6)=-0.021827 [o=76 t=6]\n", " + -- Parameters = 82.3364 4.8772 -39.6003 20.1755 10.4514 3.8632 1.0049 1.0059 1.0260 -0.0085 -0.0025 0.0079\n", " + - cost(#7)=-0.019391 [o=11 t=4]\n", " + -- Parameters = 122.1885 3.3850 37.7804 31.9993 -26.7764 -9.1048 1.0047 1.0043 1.0237 -0.0004 -0.0009 0.0010\n", " + - cost(#8)=-0.016887 [o=19 t=1]\n", " + -- Parameters = 120.3862 31.8744 37.9044 31.2181 -11.7938 -1.2006 1.0284 0.9884 0.9874 -0.0101 0.0025 0.0006\n", " + - cost(#9)=-0.017390 [o=21 t=5]\n", " + -- Parameters = 115.3469 31.2859 37.8570 28.2962 -10.3465 2.2030 0.9873 0.9648 1.0135 0.0016 0.0010 -0.0018\n", " + - cost(#10)=-0.018693 [o=20 t=11]\n", " + -- Parameters = 99.3262 -29.9447 26.9371 -5.3159 -28.4886 -34.0726 1.0107 0.9849 1.0213 -0.0036 -0.0003 0.0007\n", " + - cost(#11)=-0.016689 [o=59 t=15]\n", " + -- Parameters = 120.8994 -8.5654 38.2884 35.5660 -28.3844 -2.2898 0.9449 0.9652 0.9808 0.0065 -0.0097 0.0202\n", " + - cost(#12)=-0.017087 [o=6 t=7]\n", " + -- Parameters = 124.5712 -28.6409 20.3221 5.1349 -41.6487 -44.5124 1.0125 0.9652 0.9978 -0.0043 -0.0015 -0.0151\n", " + - cost(#13)=-0.018747 [o=27 t=3]\n", " + -- Parameters = 124.8220 -15.4132 35.7434 32.8513 -32.2128 -4.2913 1.0051 1.0020 0.9925 -0.0014 0.0061 0.0027\n", " + - cost(#14)=-0.016958 [o=12 t=24]\n", " + -- Parameters = 90.6424 19.0892 31.4461 30.8611 -12.4391 -26.9602 1.0001 0.9900 0.9213 -0.0096 0.0069 -0.0164\n", " + - cost(#15)=-0.016621 [o=61 t=20]\n", " + -- Parameters = 95.2265 -16.0288 34.3051 18.8769 -38.6949 -27.3742 0.9949 1.0116 0.9938 0.0095 0.0005 -0.0030\n", " + - cost(#16)=-0.015480 [o=13 t=14]\n", " + -- Parameters = 94.6942 -15.8722 35.0063 16.0018 -38.3548 -28.1013 0.9892 1.0073 0.9938 -0.0018 0.0006 -0.0023\n", " + - cost(#17)=-0.017580 [o=70 t=17]\n", " + -- Parameters = 87.0306 -14.2621 -34.6583 -9.0179 9.8610 3.8227 0.9879 0.9809 0.9564 0.0087 0.0030 -0.0024\n", " + - cost(#18)=-0.016272 [o=3 t=27]\n", " + -- Parameters = 92.1936 -30.6225 24.8890 5.7653 -33.6379 -32.8354 0.9906 0.9904 0.9919 0.0296 0.0046 -0.0038\n", " + - cost(#19)=-0.018831 [o=8 t=25]\n", " + -- Parameters = 92.0665 -2.7610 29.1632 -37.9380 15.4778 -34.5080 0.9731 0.9648 0.9439 -0.0023 -0.0035 0.0016\n", " + - cost(#20)=-0.016643 [o=43 t=26]\n", " + -- Parameters = 66.9145 8.7317 -38.5499 19.9377 18.3452 -6.1108 1.0030 0.9976 0.9713 0.0006 0.0051 0.0221\n", " + - cost(#21)=-0.015076 [o=33 t=16]\n", " + -- Parameters = 110.5064 17.5324 -34.6949 -44.8090 11.7870 22.7514 0.9787 1.0007 0.9652 -0.0008 0.0293 0.0042\n", " + - cost(#22)=-0.015064 [o=68 t=10]\n", " + -- Parameters = 94.9821 11.4850 -41.7087 -27.1684 18.0621 -14.7438 0.9953 1.0047 1.0033 0.0097 -0.0014 -0.0005\n", " + - cost(#23)=-0.015215 [o=87 t=8]\n", " + -- Parameters = 80.8903 10.8767 31.8345 38.9750 -23.2805 -12.6024 0.9964 0.9868 0.9912 -0.0075 -0.0002 0.0015\n", " + - cost(#24)=-0.014807 [o=55 t=13]\n", " + -- Parameters = 101.9003 23.5725 -40.5280 -5.6755 -15.6652 40.9313 1.0032 0.9991 1.0112 0.0085 -0.0004 -0.0001\n", " + - cost(#25)=-0.014391 [o=23 t=9]\n", " + -- Parameters = 88.9471 -11.7913 -34.3018 -12.1401 11.8714 4.7590 1.0001 0.9921 0.9903 0.0145 0.0001 -0.0000\n", " + - cost(#26)=-0.012283 [o=26 t=12]\n", " + -- Parameters = 112.7510 -14.0798 -34.9248 -28.0911 24.1450 4.0337 0.9952 1.0025 1.0059 0.0123 0.0083 -0.0004\n", " + - cost(#27)=-0.012050 [o=53 t=28]\n", " + -- Parameters = 119.0245 -8.2729 -38.8807 -34.4827 24.2436 -0.6653 1.0003 1.0042 1.0074 -0.0013 0.0015 0.0001\n", " + - cost(#28)=-0.011891 [o=24 t=23]\n", " + -- Parameters = 119.1164 -6.9467 -37.4876 -11.0812 5.1131 -12.3826 0.9973 1.0034 0.9823 -0.0065 0.0021 -0.0026\n", " + - cost(#29)=-0.011366 [o=74 t=19]\n", " + -- Parameters = 66.4278 14.9361 -34.0231 33.9244 20.6755 -10.4931 0.9986 1.0021 0.9994 0.0001 0.0002 0.0008\n", " + - cost(#30)=-0.012654 [o=15 t=22]\n", " + -- Parameters = 118.6806 -0.2779 -39.9209 -10.4236 10.9901 -14.6070 0.9859 0.9982 1.0056 0.0036 -0.0026 0.0003\n", " + - cost(#31)=-0.226142 [o=-2 t=-2]\n", " + -- Parameters = 86.2853 -3.2417 0.0041 -0.6043 -1.3783 0.2327 0.9846 1.0247 0.9738 -0.0073 -0.0072 -0.0283\n", " + - case #1 [o=-1 t=-1] is now the best\n", " + - Initial cost = -0.229705\n", " + - Initial fine Parameters = 86.4786 -3.3794 0.0456 -0.7344 -2.0985 -0.4671 0.9912 1.0266 0.9763 -0.0110 0.0121 -0.0449\n", " + - Finalish cost = -0.230087 ; 443 funcs\n", " + - ini Finalish Parameters = 86.4243 -3.3934 0.0579 -0.6907 -2.4008 -0.2686 0.9907 1.0261 0.9755 -0.0090 0.0076 -0.0512\n", " + - Final cost = -0.230087 ; 283 funcs\n", " + Final fine fit Parameters:\n", " x-shift= 86.4239 y-shift= -3.3912 z-shift= 0.0590 ... enorm= 86.4904 mm\n", " z-angle= -0.6917 x-angle= -2.3988 y-angle= -0.2681 ... total= 2.5094 deg\n", " x-scale= 0.9907 y-scale= 1.0261 z-scale= 0.9755 ... vol3D= 0.9917 = base bigger than source\n", " y/x-shear= -0.0090 z/x-shear= 0.0076 z/y-shear= -0.0512\n", " + - Fine net CPU time = 0.0 s\n", "++ Computing output image\n", "++ image warp: parameters = 86.4239 -3.3912 0.0590 -0.6917 -2.3988 -0.2681 0.9907 1.0261 0.9755 -0.0090 0.0076 -0.0512\n", "++ Unloading unneeded data\n", "++ Output dataset ./sub-08_T1w_al_junk+orig.BRIK\n", "++ Wrote -1Dmatrix_save ./sub-08_T1w_al_junk_mat.aff12.1D\n", "++ 3dAllineate: total CPU time = 0.0 sec Elapsed = 17.0\n", "++ ###########################################################\n", "++ # PLEASE check results VISUALLY for alignment quality #\n", "++ ###########################################################\n", "#++ Creating final output: skullstripped anat data\n", "copying from dataset /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/__tt_sub-08_T1w_ns+orig to /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/sub-08_T1w_ns+orig\n", "#Script is running (command trimmed):\n", " 3dcopy ./__tt_sub-08_T1w_ns+orig sub-08_T1w_ns\n", "++ 3dcopy: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "#++ Creating final output: anat data aligned to epi\n", "# copy is not necessary\n", "#++ Saving history\n", "#Script is running (command trimmed):\n", " 3dNotes -h \"align_epi_anat.py -anat2epi -anat sub-08_T1w+orig \\\n", " -save_skullstrip -suffix _al_junk -epi vr_base_min_outlier+orig -epi_base \\\n", " 0 -epi_strip 3dAutomask -giant_move -volreg off -tshift off\" \\\n", " ./sub-08_T1w_al_junk+orig\n", "\n", "#++ Removing all the temporary files\n", "#Script is running:\n", " \\rm -f ./__tt_vr_base_min_outlier*\n", "#Script is running:\n", " \\rm -f ./__tt_sub-08_T1w*\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "\n", "# Finished alignment successfully\n", "\n", "@auto_tlrc -base MNI_avg152T1+tlrc -input sub-08_T1w_ns+orig -no_ss -init_xform AUTO_CENTER\n", "\n", "Performing center alignment with @Align_Centers\n", "\n", "++ 3dcopy: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ 3drefit: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Processing AFNI dataset ./sub-08_T1w_ns_shft+orig\n", " + deoblique\n", "++ 3drefit processed 1 datasets\n", "++ 3drename: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ THD_rename_dataset_files: rename sub-08_T1w_ns_shft+orig.HEAD -> __ats_tmp__sub-08_T1w_ns_shft+orig.HEAD\n", "++ THD_rename_dataset_files: rename sub-08_T1w_ns_shft+orig.BRIK -> __ats_tmp__sub-08_T1w_ns_shft+orig.BRIK\n", "** THD_rename_dataset_files: old header sub-08_T1w_ns_shft+acpc.HEAD doesn't exist!\n", "** THD_rename_dataset_files: old header sub-08_T1w_ns_shft+tlrc.HEAD doesn't exist!\n", "++ 3dWarp: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "Center distance of 0.000000 mm\n", "Padding ...\n", "++ 3dZeropad: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ output dataset: ./__ats_tmp__ref_MNI_avg152T1_15pad+tlrc.BRIK\n", "Resampling ...\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ././__ats_tmp__resamp_step+orig.BRIK\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ././__ats_tmp__resamp+tlrc.BRIK\n", "Clipping -0.000100 1336.000100 ...\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./__ats_tmp___rs_pre.sub-08_T1w_ns+tlrc.BRIK\n", "++ 3drefit: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Processing AFNI dataset __ats_tmp___rs_pre.sub-08_T1w_ns+tlrc.HEAD\n", " + changing dataset view code\n", " + Changed dataset view type and filenames.\n", "++ 3drefit processed 1 datasets\n", "++ 3drefit: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Processing AFNI dataset __ats_tmp__resamp_NN+tlrc.HEAD\n", " + changing dataset view code\n", " + Changed dataset view type and filenames.\n", "++ 3drefit processed 1 datasets\n", "++ 3drefit: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Processing AFNI dataset __ats_tmp__resamp_edge_art+tlrc.HEAD\n", " + changing dataset view code\n", " + Changed dataset view type and filenames.\n", "++ 3drefit processed 1 datasets\n", "Registration (cubic final interpolation) ...\n", "++ 3dWarpDrive: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Initial scale factor set to 0.30/125.00=4.2e+02\n", "RMS[0] = 0.283712 0.155217 ITER = 8/50\n", "0.283712\n", "\n", "Warping has converged.\n", "\n", "++ 3dcopy: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ 3dWarp: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "Applying brain mask\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ././__ats_tmp__reg_braintlrcstep+orig.BRIK\n", "++ 3dWarp: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ 3drename: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ THD_rename_dataset_files: rename __ats_tmp___pad15_pre.sub-08_T1w_ns+orig.HEAD -> __ats_tmp___pad15_pre.sub-08_T1w_ns.skl+orig.HEAD\n", "++ THD_rename_dataset_files: rename __ats_tmp___pad15_pre.sub-08_T1w_ns+orig.BRIK -> __ats_tmp___pad15_pre.sub-08_T1w_ns.skl+orig.BRIK\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ././__ats_tmp___pad15_pre.sub-08_T1w_ns+orig.BRIK\n", "Unpadding ...\n", "++ 3dZeropad: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ output dataset: ./__ats_tmp___upad15_pre.sub-08_T1w_ns+orig.BRIK\n", "++ 3drefit: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Processing AFNI dataset __ats_tmp___upad15_pre.sub-08_T1w_ns+orig\n", "\u001b[7m*+ WARNING:\u001b[0m Changing the space of an ORIG view dataset may cause confusion!\n", "\u001b[7m*+ WARNING:\u001b[0m NIFTI copies will be interpreted as TLRC view (not TLRC space).\n", "\u001b[7m*+ WARNING:\u001b[0m Consider changing the view of the dataset to TLRC view also\n", "++ 3drefit processed 1 datasets\n", "Changing view of transformed anatomy\n", "++ 3drefit: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Processing AFNI dataset __ats_tmp___upad15_pre.sub-08_T1w_ns+orig.HEAD\n", " + changing dataset view code\n", " + Changed dataset view type and filenames.\n", "++ 3drefit processed 1 datasets\n", "Setting parent with 3drefit -wset sub-08_T1w_ns+orig __ats_tmp___upad15_pre.sub-08_T1w_ns+tlrc\n", "++ 3drefit: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Processing AFNI dataset __ats_tmp___upad15_pre.sub-08_T1w_ns+tlrc\n", " + setting Warp parent\n", "++ 3drefit processed 1 datasets\n", "++ 3drename: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Warning: ignoring +tlrc on new_prefix.\n", "++ THD_rename_dataset_files: rename __ats_tmp___upad15_pre.sub-08_T1w_ns+tlrc.HEAD -> sub-08_T1w_ns+tlrc.HEAD\n", "++ THD_rename_dataset_files: rename __ats_tmp___upad15_pre.sub-08_T1w_ns+tlrc.BRIK -> sub-08_T1w_ns+tlrc.BRIK\n", "Cleanup ...\n", "cat_matvec sub-08_T1w_ns+tlrc::WARP_DATA -I\n", "if ( ! -f sub-08_T1w_ns+tlrc.HEAD ) then\n", "foreach run ( 01 02 )\n", "3dvolreg -verbose -zpad 1 -base vr_base_min_outlier+orig -1Dfile dfile.r01.1D -prefix rm.epi.volreg.r01 -cubic -1Dmatrix_save mat.r01.vr.aff12.1D pb00.sub_08.r01.tcat+orig\n", "++ 3dvolreg: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Reading in base dataset ./vr_base_min_outlier+orig.BRIK\n", "++ Reading input dataset ./pb00.sub_08.r01.tcat+orig.BRIK\n", "++ Edging: x=3 y=3 z=2\n", "++ Creating mask for -maxdisp\n", " + Automask has 40918 voxels\n", " + 5959 voxels left in -maxdisp mask after erosion\n", "++ Initializing alignment base\n", "++ Starting final pass on 146 sub-bricks: 0..1..2..3..4..5..6..7..8..9..10..11..12..13..14..15..16..17..18..19..20..21..22..23..24..25..26..27..28..29..30..31..32..33..34..35..36..37..38..39..40..41..42..43..44..45..46..47..48..49..50..51..52..53..54..55..56..57..58..59..60..61..62..63..64..65..66..67..68..69..70..71..72..73..74..75..76..77..78..79..80..81..82..83..84..85..86..87..88..89..90..91..92..93..94..95..96..97..98..99..100..101..102..103..104..105..106..107..108..109..110..111..112..113..114..115..116..117..118..119..120..121..122..123..124..125..126..127..128..129..130..131..132..133..134..135..136..137..138..139..140..141..142..143..144..145..\n", "++ CPU time for realignment=0 s [=0 s/sub-brick]\n", "++ Min : roll=-0.014 pitch=-0.044 yaw=-0.059 dS=-0.092 dL=-0.041 dP=-0.083\n", "++ Mean: roll=+0.022 pitch=+0.035 yaw=+0.065 dS=+0.016 dL=+0.029 dP=+0.013\n", "++ Max : roll=+0.119 pitch=+0.184 yaw=+0.253 dS=+0.181 dL=+0.123 dP=+0.235\n", "++ Max displacements (mm) for each sub-brick:\n", " 0.15(0.00) 0.09(0.16) 0.06(0.09) 0.05(0.08) 0.07(0.08) 0.07(0.03) 0.08(0.05) 0.06(0.05) 0.15(0.13) 0.09(0.12) 0.15(0.12) 0.09(0.13) 0.11(0.10) 0.09(0.06) 0.09(0.05) 0.11(0.04) 0.04(0.10) 0.08(0.08) 0.07(0.05) 0.13(0.10) 0.06(0.11) 0.06(0.09) 0.07(0.09) 0.03(0.05) 0.09(0.07) 0.06(0.13) 0.07(0.09) 0.05(0.08) 0.00(0.05) 0.06(0.06) 0.06(0.08) 0.05(0.06) 0.10(0.07) 0.06(0.06) 0.07(0.09) 0.06(0.10) 0.08(0.08) 0.08(0.07) 0.12(0.10) 0.08(0.11) 0.09(0.08) 0.11(0.07) 0.05(0.08) 0.08(0.05) 0.03(0.08) 0.07(0.06) 0.08(0.09) 0.06(0.05) 0.10(0.07) 0.08(0.09) 0.12(0.10) 0.10(0.08) 0.06(0.07) 0.14(0.14) 0.09(0.11) 0.11(0.10) 0.14(0.06) 0.09(0.12) 0.12(0.11) 0.10(0.09) 0.10(0.06) 0.15(0.07) 0.09(0.12) 0.11(0.10) 0.09(0.15) 0.14(0.16) 0.09(0.09) 0.10(0.03) 0.11(0.07) 0.08(0.07) 0.13(0.11) 0.09(0.11) 0.13(0.11) 0.09(0.08) 0.10(0.06) 0.13(0.10) 0.10(0.09) 0.14(0.11) 0.11(0.14) 0.11(0.10) 0.09(0.07) 0.10(0.08) 0.11(0.06) 0.10(0.10) 0.16(0.16) 0.10(0.16) 0.13(0.14) 0.13(0.11) 0.17(0.07) 0.18(0.07) 0.15(0.09) 0.15(0.07) 0.12(0.10) 0.17(0.10) 0.15(0.05) 0.16(0.07) 0.14(0.06) 0.16(0.10) 0.24(0.15) 0.14(0.17) 0.21(0.14) 0.16(0.12) 0.29(0.22) 0.20(0.16) 0.23(0.11) 0.21(0.07) 0.21(0.10) 0.23(0.05) 0.19(0.12) 0.22(0.08) 0.18(0.09) 0.23(0.10) 0.19(0.11) 0.28(0.14) 0.21(0.10) 0.23(0.06) 0.23(0.07) 0.29(0.15) 0.22(0.17) 0.29(0.10) 0.30(0.04) 0.27(0.07) 0.31(0.08) 0.28(0.06) 0.34(0.11) 0.30(0.07) 0.37(0.11) 0.28(0.15) 0.36(0.14) 0.29(0.14) 0.36(0.15) 0.32(0.30) 0.41(0.27) 0.49(0.29) 0.46(0.11) 0.49(0.18) 0.56(0.18) 0.55(0.14) 0.55(0.10) 0.54(0.03) 0.52(0.12) 0.51(0.14) 0.48(0.15) 0.41(0.17) 0.41(0.22) 0.42(0.12)\n", "++ Max displacement in automask = 0.56 (mm) at sub-brick 136\n", "++ Max delta displ in automask = 0.30 (mm) at sub-brick 131\n", "++ Wrote dataset to disk in ./rm.epi.volreg.r01+orig.BRIK\n", "3dcalc -overwrite -a pb00.sub_08.r01.tcat+orig -expr 1 -prefix rm.epi.all1\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "\u001b[7m*+ WARNING:\u001b[0m input 'a' is not used in the expression\n", "++ Output dataset ./rm.epi.all1+orig.BRIK\n", "cat_matvec -ONELINE sub-08_T1w_ns+tlrc::WARP_DATA -I sub-08_T1w_al_junk_mat.aff12.1D -I mat.r01.vr.aff12.1D\n", "3dAllineate -base sub-08_T1w_ns+tlrc -input pb00.sub_08.r01.tcat+orig -1Dmatrix_apply mat.r01.warp.aff12.1D -mast_dxyz 3 -prefix rm.epi.nomask.r01\n", "++ 3dAllineate: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Zhark the Registrator\n", "++ Source dataset: ./pb00.sub_08.r01.tcat+orig.HEAD\n", "++ Base dataset: ./sub-08_T1w_ns+tlrc.HEAD\n", "++ Loading datasets into memory\n", "\u001b[7m*+ WARNING:\u001b[0m center of mass shifts (-cmass) are turned off, but would be TERRIBLY large!\n", "\u001b[7m*+ WARNING:\u001b[0m - at least one is more than 50% of search range\n", " + -cmass x y z shifts = 0.027 -8.241 -29.822\n", " + shift search range is +/- = 57.780 69.336 57.780\n", " + 0.0% 11.9% 51.6%\n", "++ master dataset for output = base\n", "++ changing output grid spacing to 3.0000 mm\n", "++ OpenMP thread count = 15\n", "++ ========== Applying transformation to 146 sub-bricks ==========\n", "volume 0..1..2..3..4..5..6..7..8..9..10..11..12..13..14..15..16..17..18..19..20..21..22..23..24..25..26..27..28..29..30..31..32..33..34..35..36..37..38..39..40..41..42..43..44..45..46..47..48..49..50..51..52..53..54..55..56..57..58..59..60..61..62..63..64..65..66..67..68..69..70..71..72..73..74..75..76..77..78..79..80..81..82..83..84..85..86..87..88..89..90..91..92..93..94..95..96..97..98..99..100..101..102..103..104..105..106..107..108..109..110..111..112..113..114..115..116..117..118..119..120..121..122..123..124..125..126..127..128..129..130..131..132..133..134..135..136..137..138..139..140..141..142..143..144..145\n", "++ Output dataset ./rm.epi.nomask.r01+tlrc.BRIK\n", "++ 3dAllineate: total CPU time = 0.0 sec Elapsed = 4.5\n", "++ ###########################################################\n", " + \n", "++ ***********************************************************\n", "\u001b[7m*+ WARNING:\u001b[0m -cmass was turned off, but might have been needed :(\n", " + Please check your results - PLEASE PLEASE PLEASE\n", "++ ***********************************************************\n", "3dAllineate -base sub-08_T1w_ns+tlrc -input rm.epi.all1+orig -1Dmatrix_apply mat.r01.warp.aff12.1D -mast_dxyz 3 -final NN -quiet -prefix rm.epi.1.r01\n", "++ 3dAllineate: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Zhark the Registrator\n", "\u001b[7m*+ WARNING:\u001b[0m center of mass shifts (-cmass) are turned off, but would be TERRIBLY large!\n", "\u001b[7m*+ WARNING:\u001b[0m - at least one is more than 50% of search range\n", " + -cmass x y z shifts = 1.280 -18.654 -32.063\n", " + shift search range is +/- = 57.780 69.336 57.780\n", " + 2.2% 26.9% 55.5%\n", "++ Output dataset ./rm.epi.1.r01+tlrc.BRIK\n", "++ 3dAllineate: total CPU time = 0.0 sec Elapsed = 3.9\n", " + \n", "++ ***********************************************************\n", "\u001b[7m*+ WARNING:\u001b[0m -cmass was turned off, but might have been needed :(\n", " + Please check your results - PLEASE PLEASE PLEASE\n", "++ ***********************************************************\n", "3dTstat -min -prefix rm.epi.min.r01 rm.epi.1.r01+tlrc\n", "++ 3dTstat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: KR Hammett & RW Cox\n", "++ Output dataset ./rm.epi.min.r01+tlrc.BRIK\n", "end\n", "3dvolreg -verbose -zpad 1 -base vr_base_min_outlier+orig -1Dfile dfile.r02.1D -prefix rm.epi.volreg.r02 -cubic -1Dmatrix_save mat.r02.vr.aff12.1D pb00.sub_08.r02.tcat+orig\n", "++ 3dvolreg: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Reading in base dataset ./vr_base_min_outlier+orig.BRIK\n", "++ Reading input dataset ./pb00.sub_08.r02.tcat+orig.BRIK\n", "++ Edging: x=3 y=3 z=2\n", "++ Creating mask for -maxdisp\n", " + Automask has 40888 voxels\n", " + 5952 voxels left in -maxdisp mask after erosion\n", "++ Initializing alignment base\n", "++ Starting final pass on 146 sub-bricks: 0..1..2..3..4..5..6..7..8..9..10..11..12..13..14..15..16..17..18..19..20..21..22..23..24..25..26..27..28..29..30..31..32..33..34..35..36..37..38..39..40..41..42..43..44..45..46..47..48..49..50..51..52..53..54..55..56..57..58..59..60..61..62..63..64..65..66..67..68..69..70..71..72..73..74..75..76..77..78..79..80..81..82..83..84..85..86..87..88..89..90..91..92..93..94..95..96..97..98..99..100..101..102..103..104..105..106..107..108..109..110..111..112..113..114..115..116..117..118..119..120..121..122..123..124..125..126..127..128..129..130..131..132..133..134..135..136..137..138..139..140..141..142..143..144..145..\n", "++ CPU time for realignment=0 s [=0 s/sub-brick]\n", "++ Min : roll=+0.065 pitch=-0.196 yaw=-0.295 dS=-0.284 dL=+0.045 dP=-0.220\n", "++ Mean: roll=+0.160 pitch=+0.114 yaw=+0.164 dS=-0.032 dL=+0.132 dP=-0.070\n", "++ Max : roll=+0.233 pitch=+0.250 yaw=+0.335 dS=+0.142 dL=+0.306 dP=+0.067\n", "++ Max displacements (mm) for each sub-brick:\n", " 0.70(0.00) 0.61(0.16) 0.62(0.09) 0.60(0.07) 0.58(0.06) 0.63(0.08) 0.61(0.07) 0.62(0.08) 0.60(0.07) 0.55(0.07) 0.62(0.08) 0.61(0.11) 0.61(0.07) 0.59(0.05) 0.50(0.10) 0.54(0.06) 0.52(0.08) 0.57(0.09) 0.58(0.09) 0.56(0.09) 0.58(0.06) 0.56(0.07) 0.59(0.10) 0.57(0.09) 0.57(0.07) 0.59(0.05) 0.56(0.05) 0.59(0.08) 0.60(0.08) 0.58(0.07) 0.58(0.07) 0.58(0.06) 0.58(0.02) 0.59(0.05) 0.57(0.34) 0.38(0.39) 0.47(0.48) 0.90(0.47) 0.59(0.35) 0.49(0.19) 0.50(0.16) 0.46(0.12) 0.48(0.16) 0.46(0.17) 0.48(0.13) 0.47(0.10) 0.48(0.10) 0.49(0.09) 0.51(0.10) 0.53(0.06) 0.51(0.09) 0.53(0.09) 0.50(0.10) 0.50(0.09) 0.50(0.08) 0.49(0.07) 0.52(0.06) 0.46(0.10) 0.46(0.21) 0.52(0.33) 0.50(0.20) 0.54(0.12) 0.54(0.09) 0.60(0.12) 0.55(0.14) 0.59(0.12) 0.58(0.10) 0.62(0.13) 0.53(0.11) 0.49(0.14) 0.49(0.04) 0.46(0.07) 0.55(0.11) 0.48(0.14) 0.57(0.15) 0.46(0.14) 0.54(0.11) 0.44(0.13) 0.51(0.11) 0.47(0.10) 0.55(0.15) 0.59(0.11) 0.56(0.13) 0.53(0.13) 0.60(0.14) 0.58(0.10) 0.55(0.04) 0.53(0.07) 0.59(0.11) 0.49(0.15) 0.57(0.14) 0.52(0.17) 0.77(0.46) 0.58(0.27) 0.57(0.20) 0.57(0.10) 0.58(0.13) 0.56(0.14) 0.57(0.14) 0.55(0.09) 0.60(0.10) 0.55(0.09) 0.55(0.05) 0.55(0.04) 0.57(0.07) 0.61(0.06) 0.53(0.11) 0.67(0.16) 0.55(0.16) 0.59(0.11) 0.53(0.10) 0.54(0.06) 0.57(0.07) 0.51(0.12) 0.56(0.12) 0.57(0.17) 0.64(0.20) 0.58(0.21) 0.56(0.09) 0.60(0.07) 0.55(0.07) 0.61(0.08) 0.56(0.12) 0.60(0.14) 0.59(0.10) 0.61(0.07) 0.59(0.06) 0.56(0.08) 0.67(0.14) 0.61(0.12) 0.64(0.14) 0.64(0.04) 0.64(0.19) 0.57(0.25) 0.54(0.10) 0.54(0.07) 0.53(0.05) 0.57(0.11) 0.53(0.11) 0.58(0.12) 0.53(0.09) 0.55(0.06) 0.52(0.11) 0.56(0.13) 0.55(0.10) 0.53(0.06)\n", "++ Max displacement in automask = 0.90 (mm) at sub-brick 37\n", "++ Max delta displ in automask = 0.48 (mm) at sub-brick 36\n", "++ Wrote dataset to disk in ./rm.epi.volreg.r02+orig.BRIK\n", "3dcalc -overwrite -a pb00.sub_08.r02.tcat+orig -expr 1 -prefix rm.epi.all1\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "\u001b[7m*+ WARNING:\u001b[0m input 'a' is not used in the expression\n", "++ Output dataset ./rm.epi.all1+orig.BRIK\n", "cat_matvec -ONELINE sub-08_T1w_ns+tlrc::WARP_DATA -I sub-08_T1w_al_junk_mat.aff12.1D -I mat.r02.vr.aff12.1D\n", "3dAllineate -base sub-08_T1w_ns+tlrc -input pb00.sub_08.r02.tcat+orig -1Dmatrix_apply mat.r02.warp.aff12.1D -mast_dxyz 3 -prefix rm.epi.nomask.r02\n", "++ 3dAllineate: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Zhark the Registrator\n", "++ Source dataset: ./pb00.sub_08.r02.tcat+orig.HEAD\n", "++ Base dataset: ./sub-08_T1w_ns+tlrc.HEAD\n", "++ Loading datasets into memory\n", "\u001b[7m*+ WARNING:\u001b[0m center of mass shifts (-cmass) are turned off, but would be TERRIBLY large!\n", "\u001b[7m*+ WARNING:\u001b[0m - at least one is more than 50% of search range\n", " + -cmass x y z shifts = -0.046 -8.175 -29.810\n", " + shift search range is +/- = 57.780 69.336 57.780\n", " + 0.1% 11.8% 51.6%\n", "++ master dataset for output = base\n", "++ changing output grid spacing to 3.0000 mm\n", "++ OpenMP thread count = 15\n", "++ ========== Applying transformation to 146 sub-bricks ==========\n", "volume 0..1..2..3..4..5..6..7..8..9..10..11..12..13..14..15..16..17..18..19..20..21..22..23..24..25..26..27..28..29..30..31..32..33..34..35..36..37..38..39..40..41..42..43..44..45..46..47..48..49..50..51..52..53..54..55..56..57..58..59..60..61..62..63..64..65..66..67..68..69..70..71..72..73..74..75..76..77..78..79..80..81..82..83..84..85..86..87..88..89..90..91..92..93..94..95..96..97..98..99..100..101..102..103..104..105..106..107..108..109..110..111..112..113..114..115..116..117..118..119..120..121..122..123..124..125..126..127..128..129..130..131..132..133..134..135..136..137..138..139..140..141..142..143..144..145\n", "++ Output dataset ./rm.epi.nomask.r02+tlrc.BRIK\n", "++ 3dAllineate: total CPU time = 0.0 sec Elapsed = 4.5\n", "++ ###########################################################\n", " + \n", "++ ***********************************************************\n", "\u001b[7m*+ WARNING:\u001b[0m -cmass was turned off, but might have been needed :(\n", " + Please check your results - PLEASE PLEASE PLEASE\n", "++ ***********************************************************\n", "3dAllineate -base sub-08_T1w_ns+tlrc -input rm.epi.all1+orig -1Dmatrix_apply mat.r02.warp.aff12.1D -mast_dxyz 3 -final NN -quiet -prefix rm.epi.1.r02\n", "++ 3dAllineate: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Zhark the Registrator\n", "\u001b[7m*+ WARNING:\u001b[0m center of mass shifts (-cmass) are turned off, but would be TERRIBLY large!\n", "\u001b[7m*+ WARNING:\u001b[0m - at least one is more than 50% of search range\n", " + -cmass x y z shifts = 1.280 -18.654 -32.063\n", " + shift search range is +/- = 57.780 69.336 57.780\n", " + 2.2% 26.9% 55.5%\n", "++ Output dataset ./rm.epi.1.r02+tlrc.BRIK\n", "++ 3dAllineate: total CPU time = 0.0 sec Elapsed = 4.0\n", " + \n", "++ ***********************************************************\n", "\u001b[7m*+ WARNING:\u001b[0m -cmass was turned off, but might have been needed :(\n", " + Please check your results - PLEASE PLEASE PLEASE\n", "++ ***********************************************************\n", "3dTstat -min -prefix rm.epi.min.r02 rm.epi.1.r02+tlrc\n", "++ 3dTstat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: KR Hammett & RW Cox\n", "++ Output dataset ./rm.epi.min.r02+tlrc.BRIK\n", "end\n", "cat dfile.r01.1D dfile.r02.1D\n", "1d_tool.py -infile dfile_rall.1D -set_nruns 2 -derivative -collapse_cols euclidean_norm -write motion_sub_08_enorm.1D\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "3dMean -datum short -prefix rm.epi.mean rm.epi.min.r01+tlrc.HEAD rm.epi.min.r02+tlrc.HEAD\n", "++ 3dMean: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "3dcalc -a rm.epi.mean+tlrc -expr step(a-0.999) -prefix mask_epi_extents\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./mask_epi_extents+tlrc.BRIK\n", "foreach run ( 01 02 )\n", "3dcalc -a rm.epi.nomask.r01+tlrc -b mask_epi_extents+tlrc -expr a*b -prefix pb01.sub_08.r01.volreg\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./pb01.sub_08.r01.volreg+tlrc.BRIK\n", "end\n", "3dcalc -a rm.epi.nomask.r02+tlrc -b mask_epi_extents+tlrc -expr a*b -prefix pb01.sub_08.r02.volreg\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./pb01.sub_08.r02.volreg+tlrc.BRIK\n", "end\n", "cat_matvec -ONELINE sub-08_T1w_ns+tlrc::WARP_DATA -I sub-08_T1w_al_junk_mat.aff12.1D -I\n", "3dAllineate -base sub-08_T1w_ns+tlrc -input vr_base_min_outlier+orig -1Dmatrix_apply mat.basewarp.aff12.1D -mast_dxyz 3 -prefix final_epi_vr_base_min_outlier\n", "++ 3dAllineate: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Zhark the Registrator\n", "++ Source dataset: ./vr_base_min_outlier+orig.HEAD\n", "++ Base dataset: ./sub-08_T1w_ns+tlrc.HEAD\n", "++ Loading datasets into memory\n", "\u001b[7m*+ WARNING:\u001b[0m center of mass shifts (-cmass) are turned off, but would be TERRIBLY large!\n", "\u001b[7m*+ WARNING:\u001b[0m - at least one is more than 50% of search range\n", " + -cmass x y z shifts = 0.073 -8.252 -29.781\n", " + shift search range is +/- = 57.780 69.336 57.780\n", " + 0.1% 11.9% 51.5%\n", "++ master dataset for output = base\n", "++ changing output grid spacing to 3.0000 mm\n", "++ OpenMP thread count = 15\n", "++ ========== Applying transformation to 1 sub-bricks ==========\n", "++ Output dataset ./final_epi_vr_base_min_outlier+tlrc.BRIK\n", "++ 3dAllineate: total CPU time = 0.0 sec Elapsed = 0.1\n", "++ ###########################################################\n", " + \n", "++ ***********************************************************\n", "\u001b[7m*+ WARNING:\u001b[0m -cmass was turned off, but might have been needed :(\n", " + Please check your results - PLEASE PLEASE PLEASE\n", "++ ***********************************************************\n", "3dcopy sub-08_T1w_ns+tlrc anat_final.sub_08\n", "++ 3dcopy: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "3dAllineate -base final_epi_vr_base_min_outlier+tlrc -allcostX -input anat_final.sub_08+tlrc\n", "tee out.allcostX.txt\n", "++ 3dAllineate: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Zhark the Registrator\n", "++ Source dataset: ./anat_final.sub_08+tlrc.HEAD\n", "++ Base dataset: ./final_epi_vr_base_min_outlier+tlrc.HEAD\n", "++ Loading datasets into memory\n", "++ Local correlation: blok type = 'TOHD(15.531)'\n", " + -cmass x y z shifts = -0.040 1.128 0.173\n", " + shift search range is +/- = 66.447 79.929 68.373\n", "\u001b[7m*+ WARNING:\u001b[0m No output dataset will be calculated\n", "++ OpenMP thread count = 15\n", " + initial Parameters = 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 1.0000 1.0000 0.0000 0.0000 0.0000\n", "++ allcost output: init #0\n", " ls = 0.102416\n", " sp = 0.294745\n", " mi = 2.69858\n", " crM = 0.0196901\n", " nmi = 0.820873\n", " je = 2.69858\n", " hel = -0.12172\n", " crA = 0.141537\n", " crU = 0.160044\n", " lss = 0.897584\n", " lpc = 0.647903\n", " lpa = 0.352097\n", " lpc+ = 0.746398\n", " lpa+ = 0.450592\n", "++ Output dataset ./volumized+tlrc.BRIK\n", "++ 3dAllineate: total CPU time = 0.0 sec Elapsed = 0.7\n", "++ ###########################################################\n", "3dAllineate -source sub-08_T1w+orig -master anat_final.sub_08+tlrc -final wsinc5 -1Dmatrix_apply warp.anat.Xat.1D -prefix anat_w_skull_warped\n", "++ 3dAllineate: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Zhark the Registrator\n", "++ -1Dmatrix_apply: converting input 3x4 array to 1 row of 12 numbers\n", "++ Source dataset: ./sub-08_T1w+orig.HEAD\n", "++ Base dataset: (not given)\n", "++ Loading datasets into memory\n", " + -cmass x y z shifts = 0.000 0.000 0.000\n", " + shift search range is +/- = 56.175 81.855 81.855\n", "++ OpenMP thread count = 15\n", "++ ========== Applying transformation to 1 sub-bricks ==========\n", "++ wsinc5 interpolation setup:\n", " + taper function = Min sidelobe 3 term\n", " + taper cut point = 0.000\n", " + window radius = 5 voxels\n", " + window shape = Cubical\n", " + The above can be altered via the AFNI_WSINC5_* environment variables.\n", " + (To avoid this message, 'setenv AFNI_WSINC5_SILENT YES'.)\n", " + wsinc5 CUBE(5) mask has 1000 points\n", "++ Output dataset ./anat_w_skull_warped+tlrc.BRIK\n", "++ 3dAllineate: total CPU time = 0.0 sec Elapsed = 1.2\n", "++ ###########################################################\n", "foreach run ( 01 02 )\n", "3dmerge -1blur_fwhm 4.0 -doall -prefix pb02.sub_08.r01.blur pb01.sub_08.r01.volreg+tlrc\n", "++ 3dmerge: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ default -1dindex = 0\n", "++ default -1tindex = 1\n", "Program 3dmerge \n", "3dmerge: edit and combine 3D datasets, by RW Cox\n", "++ editing input dataset in memory (75.6 MB)\n", "..................................................................................................................................................\n", "-- Wrote edited dataset: ./pb02.sub_08.r01.blur+tlrc.BRIK\n", "\n", "end\n", "3dmerge -1blur_fwhm 4.0 -doall -prefix pb02.sub_08.r02.blur pb01.sub_08.r02.volreg+tlrc\n", "++ 3dmerge: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ default -1dindex = 0\n", "++ default -1tindex = 1\n", "Program 3dmerge \n", "3dmerge: edit and combine 3D datasets, by RW Cox\n", "++ editing input dataset in memory (75.6 MB)\n", "..................................................................................................................................................\n", "-- Wrote edited dataset: ./pb02.sub_08.r02.blur+tlrc.BRIK\n", "\n", "end\n", "foreach run ( 01 02 )\n", "3dAutomask -prefix rm.mask_r01 pb02.sub_08.r01.blur+tlrc\n", "++ 3dAutomask: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Emperor Zhark\n", "++ Loading dataset pb02.sub_08.r01.blur+tlrc\n", "++ Forming automask\n", " + Fixed clip level = 343.540375\n", " + Used gradual clip level = 322.806030 .. 362.186707\n", " + Number voxels above clip level = 69428\n", " + Clustering voxels ...\n", " + Largest cluster has 68830 voxels\n", " + Clustering voxels ...\n", " + Largest cluster has 68733 voxels\n", " + Filled 139 voxels in small holes; now have 68872 voxels\n", " + Filled 2 voxels in large holes; now have 68874 voxels\n", " + Clustering voxels ...\n", " + Largest cluster has 68873 voxels\n", " + Clustering non-brain voxels ...\n", " + Clustering voxels ...\n", " + Largest cluster has 202760 voxels\n", " + Mask now has 68873 voxels\n", "++ 68873 voxels in the mask [out of 271633: 25.36%]\n", "++ first 7 x-planes are zero [from L]\n", "++ last 6 x-planes are zero [from R]\n", "++ first 5 y-planes are zero [from P]\n", "++ last 4 y-planes are zero [from A]\n", "++ first 0 z-planes are zero [from I]\n", "++ last 8 z-planes are zero [from S]\n", "++ Output dataset ./rm.mask_r01+tlrc.BRIK\n", "++ CPU time = 0.000000 sec\n", "end\n", "3dAutomask -prefix rm.mask_r02 pb02.sub_08.r02.blur+tlrc\n", "++ 3dAutomask: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Emperor Zhark\n", "++ Loading dataset pb02.sub_08.r02.blur+tlrc\n", "++ Forming automask\n", " + Fixed clip level = 342.217621\n", " + Used gradual clip level = 321.662537 .. 360.685547\n", " + Number voxels above clip level = 69449\n", " + Clustering voxels ...\n", " + Largest cluster has 68853 voxels\n", " + Clustering voxels ...\n", " + Largest cluster has 68749 voxels\n", " + Filled 134 voxels in small holes; now have 68883 voxels\n", " + Filled 2 voxels in large holes; now have 68885 voxels\n", " + Clustering voxels ...\n", " + Largest cluster has 68885 voxels\n", " + Clustering non-brain voxels ...\n", " + Clustering voxels ...\n", " + Largest cluster has 202748 voxels\n", " + Mask now has 68885 voxels\n", "++ 68885 voxels in the mask [out of 271633: 25.36%]\n", "++ first 7 x-planes are zero [from L]\n", "++ last 6 x-planes are zero [from R]\n", "++ first 5 y-planes are zero [from P]\n", "++ last 4 y-planes are zero [from A]\n", "++ first 0 z-planes are zero [from I]\n", "++ last 8 z-planes are zero [from S]\n", "++ Output dataset ./rm.mask_r02+tlrc.BRIK\n", "++ CPU time = 0.000000 sec\n", "end\n", "3dmask_tool -inputs rm.mask_r01+tlrc.HEAD rm.mask_r02+tlrc.HEAD -union -prefix full_mask.sub_08\n", "++ processing 2 input dataset(s), NN=2...\n", "++ padding all datasets by 0 (for dilations)\n", "++ frac 0 over 2 volumes gives min count 0\n", "++ voxel limits: 0 clipped, 68948 survived, 202685 were zero\n", "++ writing result full_mask.sub_08...\n", "++ Output dataset ./full_mask.sub_08+tlrc.BRIK\n", "3dresample -master full_mask.sub_08+tlrc -input sub-08_T1w_ns+tlrc -prefix rm.resam.anat\n", "3dmask_tool -dilate_input 5 -5 -fill_holes -input rm.resam.anat+tlrc -prefix mask_anat.sub_08\n", "++ no -frac option: defaulting to -union\n", "++ processing 1 input dataset(s), NN=2...\n", "++ padding all datasets by 5 (for dilations)\n", "++ frac 0 over 1 volumes gives min count 0\n", "++ voxel limits: 0 clipped, 76711 survived, 194922 were zero\n", "++ filled 0 holes (0 voxels)\n", "++ writing result mask_anat.sub_08...\n", "++ Output dataset ./mask_anat.sub_08+tlrc.BRIK\n", "3dmask_tool -input full_mask.sub_08+tlrc mask_anat.sub_08+tlrc -inter -prefix mask_epi_anat.sub_08\n", "++ processing 2 input dataset(s), NN=2...\n", "++ padding all datasets by 0 (for dilations)\n", "++ frac 1 over 2 volumes gives min count 2\n", "++ voxel limits: 10363 clipped, 67648 survived, 193622 were zero\n", "++ writing result mask_epi_anat.sub_08...\n", "++ Output dataset ./mask_epi_anat.sub_08+tlrc.BRIK\n", "3dABoverlap -no_automask full_mask.sub_08+tlrc mask_anat.sub_08+tlrc\n", "tee out.mask_ae_overlap.txt\n", "++ 3dABoverlap: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "#A=./full_mask.sub_08+tlrc.BRIK B=./mask_anat.sub_08+tlrc.BRIK\n", "#A #B #(A uni B) #(A int B) #(A \\ B) #(B \\ A) %(A \\ B) %(B \\ A) Rx(B/A) Ry(B/A) Rz(B/A)\n", "68948 76711 78011 67648 1300 9063 1.8855 11.8145 1.0652 0.9478 1.1189\n", "3ddot -dodice full_mask.sub_08+tlrc mask_anat.sub_08+tlrc\n", "tee out.mask_ae_dice.txt\n", "0.928854\t\n", "3dresample -master full_mask.sub_08+tlrc -prefix ./rm.resam.group -input /opt/afni-latest/MNI_avg152T1+tlrc\n", "3dmask_tool -dilate_input 5 -5 -fill_holes -input rm.resam.group+tlrc -prefix mask_group\n", "++ no -frac option: defaulting to -union\n", "++ processing 1 input dataset(s), NN=2...\n", "++ padding all datasets by 5 (for dilations)\n", "++ frac 0 over 1 volumes gives min count 0\n", "++ voxel limits: 0 clipped, 73409 survived, 198224 were zero\n", "++ filled 0 holes (0 voxels)\n", "++ writing result mask_group...\n", "++ Output dataset ./mask_group+tlrc.BRIK\n", "3ddot -dodice mask_anat.sub_08+tlrc mask_group+tlrc\n", "tee out.mask_at_dice.txt\n", "0.960445\t\n", "foreach run ( 01 02 )\n", "3dTstat -prefix rm.mean_r01 pb02.sub_08.r01.blur+tlrc\n", "++ 3dTstat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: KR Hammett & RW Cox\n", "++ Output dataset ./rm.mean_r01+tlrc.BRIK\n", "3dcalc -a pb02.sub_08.r01.blur+tlrc -b rm.mean_r01+tlrc -c mask_epi_extents+tlrc -expr c * min(200, a/b*100)*step(a)*step(b) -prefix pb03.sub_08.r01.scale\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./pb03.sub_08.r01.scale+tlrc.BRIK\n", "end\n", "3dTstat -prefix rm.mean_r02 pb02.sub_08.r02.blur+tlrc\n", "++ 3dTstat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: KR Hammett & RW Cox\n", "++ Output dataset ./rm.mean_r02+tlrc.BRIK\n", "3dcalc -a pb02.sub_08.r02.blur+tlrc -b rm.mean_r02+tlrc -c mask_epi_extents+tlrc -expr c * min(200, a/b*100)*step(a)*step(b) -prefix pb03.sub_08.r02.scale\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./pb03.sub_08.r02.scale+tlrc.BRIK\n", "end\n", "1d_tool.py -infile dfile_rall.1D -set_nruns 2 -demean -write motion_demean.1D\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "3dDeconvolve -input pb03.sub_08.r01.scale+tlrc.HEAD pb03.sub_08.r02.scale+tlrc.HEAD -ortvec motion_demean.1D mot_demean -polort 2 -num_stimts 2 -stim_times 1 stimuli/congruent.1D GAM -stim_label 1 congruent -stim_times 2 stimuli/incongruent.1D GAM -stim_label 2 incongruent -gltsym SYM: +incongruent -congruent -glt_label 1 incongruent-congruent -gltsym SYM: +congruent -incongruent -glt_label 2 congruent-incongruent -jobs 8 -GOFORIT 0 -fout -tout -x1D X.xmat.1D -xjpeg X.jpg -fitts fitts.sub_08 -errts errts.sub_08 -bucket stats.sub_08\n", "++ 3dDeconvolve extending num_stimts from 2 to 8 due to -ortvec\n", "++ 3dDeconvolve: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: B. Douglas Ward, et al.\n", "++ loading dataset pb03.sub_08.r01.scale+tlrc.HEAD pb03.sub_08.r02.scale+tlrc.HEAD\n", "++ Auto-catenated input datasets treated as multiple imaging runs\n", "++ Auto-catenated datasets start at: 0 146\n", "++ STAT automask has 247109 voxels (out of 271633 = 91.0%)\n", "++ Skipping check for initial transients\n", "++ Input polort=2; Longest run=292.0 s; Recommended minimum polort=2 ++ OK ++\n", "++ -stim_times using TR=2 s for stimulus timing conversion\n", "++ -stim_times using TR=2 s for any -iresp output datasets\n", "++ [you can alter the -iresp TR via the -TR_times option]\n", "++ ** -stim_times NOTE ** guessing GLOBAL times if 1 time per line; LOCAL otherwise\n", "++ ** GUESSED ** -stim_times 1 using LOCAL times\n", "++ ** GUESSED ** -stim_times 2 using LOCAL times\n", "------------------------------------------------------------\n", "GLT matrix from 'SYM: +incongruent -congruent':\n", " 0 0 0 0 0 0 -1 1 0 0 0 0 0 0 \n", " \n", "------------------------------------------------------------\n", "GLT matrix from 'SYM: +congruent -incongruent':\n", " 0 0 0 0 0 0 1 -1 0 0 0 0 0 0 \n", " \n", "++ Number of time points: 292 (no censoring)\n", " + Number of parameters: 14 [12 baseline ; 2 signal]\n", "++ total shared memory needed = 648,659,604 bytes (about 649 million)\n", "++ mmap() memory allocated: 648,659,604 bytes (about 649 million)\n", "++ Memory required for output bricks = 648,659,604 bytes (about 649 million)\n", "++ Wrote matrix image to file X.jpg\n", "++ Wrote matrix values to file X.xmat.1D\n", "++ ========= Things you can do with the matrix file =========\n", "++ (a) Linear regression with ARMA(1,1) modeling of serial correlation:\n", "\n", "3dREMLfit -matrix X.xmat.1D \\\n", " -input \"pb03.sub_08.r01.scale+tlrc.HEAD pb03.sub_08.r02.scale+tlrc.HEAD\" \\\n", " -fout -tout -Rbuck stats.sub_08_REML -Rvar stats.sub_08_REMLvar \\\n", " -Rfitts fitts.sub_08_REML -Rerrts errts.sub_08_REML -verb\n", " \n", "++ N.B.: 3dREMLfit command above written to file stats.REML_cmd\n", "++ (b) Visualization/analysis of the matrix via ExamineXmat.R\n", "++ (c) Synthesis of sub-model datasets using 3dSynthesize\n", "++ ==========================================================\n", "++ ----- Signal+Baseline matrix condition [X] (292x14): 2.63533 ++ VERY GOOD ++\n", "++ ----- Signal-only matrix condition [X] (292x2): 1 ++ VERY GOOD ++\n", "++ ----- Baseline-only matrix condition [X] (292x12): 2.63198 ++ VERY GOOD ++\n", "++ ----- stim_base-only matrix condition [X] (292x6): 2.13231 ++ VERY GOOD ++\n", "++ ----- polort-only matrix condition [X] (292x6): 1 ++ VERY GOOD ++\n", "++ +++++ Matrix inverse average error = 1.11586e-15 ++ VERY GOOD ++\n", "++ Matrix setup time = 0.66 s\n", "++ Voxels in dataset: 271633\n", "++ Voxels per job: 33954\n", "++ Job #1: processing voxels 33954 to 67907; elapsed time=4.243\n", "++ Job #2: processing voxels 67908 to 101861; elapsed time=4.257\n", "++ Job #3: processing voxels 101862 to 135815; elapsed time=4.270\n", "++ Job #4: processing voxels 135816 to 169769; elapsed time=4.283\n", "++ Job #5: processing voxels 169770 to 203723; elapsed time=4.295\n", "++ Job #6: processing voxels 203724 to 237677; elapsed time=4.309\n", "++ Job #7: processing voxels 237678 to 271632; elapsed time=4.322\n", "++ Job #0: processing voxels 0 to 33953; elapsed time=4.332\n", "++ voxel loop:0123456789.0123456789.0123456789.0123456789.01234567++ Job #2 finished; elapsed time=6.467\n", "++ Job #1 finished; elapsed time=6.479\n", "8++ Job #3 finished; elapsed time=6.488\n", "9.\n", "++ Job #0 waiting for children to finish; elapsed time=6.525\n", "++ Job #4 finished; elapsed time=6.547\n", "++ Job #5 finished; elapsed time=6.565\n", "++ Job #7 finished; elapsed time=6.589\n", "++ Job #6 finished; elapsed time=6.626\n", "++ Job #0 now finishing up; elapsed time=6.633\n", "++ Smallest FDR q [0 Full_Fstat] = 3.8495e-12\n", "++ Smallest FDR q [2 congruent#0_Tstat] = 7.46618e-10\n", "++ Smallest FDR q [3 congruent_Fstat] = 7.46588e-10\n", "++ Smallest FDR q [5 incongruent#0_Tstat] = 1.81843e-11\n", "++ Smallest FDR q [6 incongruent_Fstat] = 1.81834e-11\n", "++ Smallest FDR q [8 incongruent-congruent_GLT#0_Tstat] = 0.00764531\n", "++ Smallest FDR q [9 incongruent-congruent_GLT_Fstat] = 0.00764541\n", "++ Smallest FDR q [11 congruent-incongruent_GLT#0_Tstat] = 0.00764531\n", "++ Smallest FDR q [12 congruent-incongruent_GLT_Fstat] = 0.00764541\n", "++ Wrote bucket dataset into ./stats.sub_08+tlrc.BRIK\n", " + created 9 FDR curves in bucket header\n", "++ Wrote 3D+time dataset into ./fitts.sub_08+tlrc.BRIK\n", "++ Wrote 3D+time dataset into ./errts.sub_08+tlrc.BRIK\n", "++ Program finished; elapsed time=18.310\n", "if ( 0 != 0 ) then\n", "1d_tool.py -show_cormat_warnings -infile X.xmat.1D\n", "tee out.cormat_warn.txt\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "-- no warnings for correlation matrix (cut = 0.400) --\n", "1d_tool.py -show_df_info -infile X.xmat.1D\n", "tee out.df_info.txt\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "\n", "initial DF : 292 : 100.0%\n", "\n", "DF used for regs of interest : 2 : 0.7%\n", "DF used for censoring : 0 : 0.0%\n", "DF used for polort : 6 : 2.1%\n", "DF used for motion : 6 : 2.1%\n", "total DF used : 14 : 4.8%\n", "\n", "final DF : 278 : 95.2%\n", "\n", "tcsh -x stats.REML_cmd\n", "3dREMLfit -matrix X.xmat.1D -input pb03.sub_08.r01.scale+tlrc.HEAD pb03.sub_08.r02.scale+tlrc.HEAD -fout -tout -Rbuck stats.sub_08_REML -Rvar stats.sub_08_REMLvar -Rfitts fitts.sub_08_REML -Rerrts errts.sub_08_REML -verb\n", "++ 3dREMLfit: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RWCox\n", "++ Number of OpenMP threads = 15\n", "++ No mask ==> computing for all 271633 voxels\n", "++ FDR automask has 247109 voxels (out of 271633 = 91.0%)\n", "++ shortest run = 146 longest run = 146\n", "++ ----- matrix condition (292x14): 2.63533 ++ VERY GOOD ++\n", " + masked off 47222 voxels for being all zero; 224411 left in mask\n", "++ starting REML setup calculations; total CPU=0.00 Elapsed=2.31\n", " + X matrix: 69.912% of elements are nonzero\n", " + starting 15 OpenMP threads for REML setup\n", " + REML setup finished: matrix rows=292 cols=14; 109*1 cases; total CPU=0.00 Elapsed=2.32\n", " + average case bandwidth = 16.10\n", "++ REML voxel loop: [15 threads]0123456789.0123456789.0123456789.0123456789.01\n", " + ARMA voxel parameters estimated: total CPU=0.00 Elapsed=13.62\n", "++ Ljung-Box max lag parameter h = 31 (29 chi-squared DOF)\n", "++ GLSQ loop:0123456789.0123456789.0123456789.0123456789.0123456789.\n", " + GLSQ regression done: total CPU=0.00 Elapsed=32.21\n", "++ Output dataset ./stats.sub_08_REMLvar+tlrc.BRIK\n", "++ Output dataset ./fitts.sub_08_REML+tlrc.BRIK\n", "++ Output dataset ./errts.sub_08_REML+tlrc.BRIK\n", "++ creating FDR curves in dataset stats.sub_08_REML+tlrc\n", "++ Smallest FDR q [0 Full_Fstat] = 5.01432e-12\n", "++ Smallest FDR q [2 congruent#0_Tstat] = 1.38069e-09\n", "++ Smallest FDR q [3 congruent_Fstat] = 1.3807e-09\n", "++ Smallest FDR q [5 incongruent#0_Tstat] = 2.04457e-10\n", "++ Smallest FDR q [6 incongruent_Fstat] = 2.04457e-10\n", "\u001b[7m*+ WARNING:\u001b[0m Smallest FDR q [8 incongruent-congruent#0_Tstat] = 0.144911 ==> few true single voxel detections\n", "\u001b[7m*+ WARNING:\u001b[0m Smallest FDR q [9 incongruent-congruent_Fstat] = 0.144911 ==> few true single voxel detections\n", "\u001b[7m*+ WARNING:\u001b[0m Smallest FDR q [11 congruent-incongruent#0_Tstat] = 0.144911 ==> few true single voxel detections\n", "\u001b[7m*+ WARNING:\u001b[0m Smallest FDR q [12 congruent-incongruent_Fstat] = 0.144911 ==> few true single voxel detections\n", " + Added 9 FDR curves to dataset stats.sub_08_REML+tlrc\n", "++ Output dataset ./stats.sub_08_REML+tlrc.BRIK\n", " + unloading input dataset and REML matrices\n", "++ 3dREMLfit is all done! total CPU=0.00 Elapsed=43.03\n", "if ( 0 != 0 ) then\n", "3dTcat -prefix all_runs.sub_08 pb03.sub_08.r01.scale+tlrc.HEAD pb03.sub_08.r02.scale+tlrc.HEAD\n", "++ 3dTcat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ elapsed time = 0.7 s\n", "3dTstat -mean -prefix rm.signal.all all_runs.sub_08+tlrc\n", "++ 3dTstat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: KR Hammett & RW Cox\n", "++ Output dataset ./rm.signal.all+tlrc.BRIK\n", "3dTstat -stdev -prefix rm.noise.all errts.sub_08_REML+tlrc\n", "++ 3dTstat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: KR Hammett & RW Cox\n", "++ Output dataset ./rm.noise.all+tlrc.BRIK\n", "3dcalc -a rm.signal.all+tlrc -b rm.noise.all+tlrc -expr a/b -prefix TSNR.sub_08\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./TSNR.sub_08+tlrc.BRIK\n", "3dTnorm -norm2 -prefix rm.errts.unit errts.sub_08_REML+tlrc\n", "++ 3dTnorm: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: RW Cox\n", "++ Output dataset ./rm.errts.unit+tlrc.BRIK\n", "3dmaskave -quiet -mask full_mask.sub_08+tlrc rm.errts.unit+tlrc\n", "++ 3dmaskave: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "+++ 68948 voxels survive the mask\n", "3dTstat -sos -prefix - mean.errts.unit.1D'\n", "++ 3dTstat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: KR Hammett & RW Cox\n", "\u001b[7m*+ WARNING:\u001b[0m Input dataset is not 3D+time; assuming TR=1.0\n", "echo -- GCOR = `cat out.gcor.1D`\n", "cat out.gcor.1D\n", "-- GCOR = 0.0806407\n", "3dmaskave -quiet -mask full_mask.sub_08+tlrc errts.sub_08_REML+tlrc\n", "++ 3dmaskave: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "+++ 68948 voxels survive the mask\n", "3dTcorr1D -prefix corr_brain errts.sub_08_REML+tlrc mean.errts.1D\n", "++ 3dTcorr1D: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", " + reading dataset file errts.sub_08_REML+tlrc\n", " + reading 1D file mean.errts.1D\n", " + loading dataset ./errts.sub_08_REML+tlrc.BRIK into memory\n", "++ Start correlations: 271633 voxels X 1 time series(292); 1 threads\n", "\u001b[7m*+ WARNING:\u001b[0m THD_Tcorr1D: 47222 voxels skipped because were constant in time\n", "++ Wrote dataset: ./corr_brain+tlrc.BRIK\n", "1dcat X.xmat.1D[6]\n", "1dcat X.xmat.1D[7]\n", "1d_tool.py -infile X.xmat.1D -write_xstim X.stim.xmat.1D\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "3dTstat -sum -prefix sum_ideal.1D X.stim.xmat.1D\n", "++ 3dTstat: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: KR Hammett & RW Cox\n", "\u001b[7m*+ WARNING:\u001b[0m Input dataset is not 3D+time; assuming TR=1.0\n", "++ Output dataset ./sum_ideal.1D\n", "gen_epi_review.py -script @epi_review.sub_08 -dsets pb00.sub_08.r01.tcat+orig.HEAD pb00.sub_08.r02.tcat+orig.HEAD\n", "gen_ss_review_scripts.py -exit0 -mask_dset full_mask.sub_08+tlrc.HEAD -ss_review_dset out.ss_review.sub_08.txt -write_uvars_json out.ss_review_uvars.json\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "++ writing ss review basic: @ss_review_basic\n", "** no mask_dset dset, cannot drive view_stats, skipping...\n", "++ writing ss review driver: @ss_review_driver\n", "++ writing ss review drive commands: @ss_review_driver_commands\n", "rm -f rm.epi.1.r01+tlrc.BRIK rm.epi.1.r01+tlrc.HEAD rm.epi.1.r02+tlrc.BRIK rm.epi.1.r02+tlrc.HEAD rm.epi.all1+orig.BRIK rm.epi.all1+orig.HEAD rm.epi.mean+tlrc.BRIK rm.epi.mean+tlrc.HEAD rm.epi.min.r01+tlrc.BRIK rm.epi.min.r01+tlrc.HEAD rm.epi.min.r02+tlrc.BRIK rm.epi.min.r02+tlrc.HEAD rm.epi.nomask.r01+tlrc.BRIK rm.epi.nomask.r01+tlrc.HEAD rm.epi.nomask.r02+tlrc.BRIK rm.epi.nomask.r02+tlrc.HEAD rm.epi.volreg.r01+orig.BRIK rm.epi.volreg.r01+orig.HEAD rm.epi.volreg.r02+orig.BRIK rm.epi.volreg.r02+orig.HEAD rm.errts.unit+tlrc.BRIK rm.errts.unit+tlrc.HEAD rm.mask_r01+tlrc.BRIK rm.mask_r01+tlrc.HEAD rm.mask_r02+tlrc.BRIK rm.mask_r02+tlrc.HEAD rm.mean_r01+tlrc.BRIK rm.mean_r01+tlrc.HEAD rm.mean_r02+tlrc.BRIK rm.mean_r02+tlrc.HEAD rm.noise.all+tlrc.BRIK rm.noise.all+tlrc.HEAD rm.resam.anat+tlrc.BRIK rm.resam.anat+tlrc.HEAD rm.resam.group+tlrc.BRIK rm.resam.group+tlrc.HEAD rm.signal.all+tlrc.BRIK rm.signal.all+tlrc.HEAD\n", "if ( -e @ss_review_basic ) then\n", "./@ss_review_basic\n", "tee out.ss_review.sub_08.txt\n", "\n", "subject ID : sub_08\n", "AFNI version : AFNI_21.2.00\n", "AFNI package : linux_openmp_64\n", "TR : 2.0\n", "TRs removed (per run) : 0\n", "num stim classes provided : 2\n", "final anatomy dset : anat_final.sub_08+tlrc.HEAD\n", "final stats dset : stats.sub_08_REML+tlrc.HEAD\n", "final voxel resolution : 3.000000\t3.000000\t3.000000\n", "\n", "motion limit : 0.3\n", "num TRs above mot limit : 2\n", "average motion (per TR) : 0.0767002\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "max motion displacement : 0.868807\n", "average outlier frac (TR) : 0.00122644\n", "\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "num runs found : 2\n", "num TRs per run : 146 146\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "TRs total : 292\n", "degrees of freedom used : 14\n", "degrees of freedom left : 278\n", "\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "num regs of interest : 2\n", "num TRs per stim : 120 110\n", "ave mot per sresp : 0.070899 0.079812\n", "\n", "TSNR average : 136.907\n", "global correlation (GCOR) : 0.0806407\n", "anat/EPI mask Dice coef : 0.928854\n", "anat/templ mask Dice coef : 0.960445\n", "maximum F-stat (masked) : 52.0792\n", "\n", "\n", "apqc_make_tcsh.py -review_style pythonic -subj_dir . -uvar_json out.ss_review_uvars.json\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "++ Found 35 files for QCing.\n", "++ Done making (executable) script to generate HTML QC:\n", " ./@ss_review_html\n", "tcsh @ss_review_html\n", "tee out.review_html\n", "*+ Found main dset (template): /opt/afni-latest/MNI_avg152T1+tlrc\n", "++ pbar name has known extension: jpg\n", "++ My command:\n", " @chauffeur_afni -ulay vr_base_min_outlier+orig.HEAD -olay vr_base_min_outlier+orig.HEAD -ulay_range_nz 0 829.000000 -func_range 829.000000 -box_focus_slices AMASK_FOCUS_ULAY -cbar gray_scale -pbar_posonly -pbar_saveim QC_sub_08/media/qc_00_vorig_EPI.pbar.jpg -pbar_comm_range 98%ile in vol -pbar_for dset -prefix QC_sub_08/media/qc_00_vorig_EPI -save_ftype JPEG -blowup 4 -opacity 9 -montx 7 -monty 1 -montgap 1 -montcolor black -set_xhairs OFF -label_mode 1 -label_size 3 -do_clean\n", "\n", "++ Using AFNI ver : AFNI_21.2.00\n", "++ chauffeur ver : 6.26\n", "\n", "------------------ start of optionizing ------------------\n", "\n", "++ Found input file: vr_base_min_outlier+orig.HEAD\n", "++ Found input file: vr_base_min_outlier+orig.HEAD\n", "++ Using blowup factor: 4\n", "++ Using opacity: 9\n", "++ Making temporary work directory to copy vis files: QC_sub_08/media/__tmp_chauf_9t3MZI1OgAi\n", "++ Converted 0 to labels\n", "++ Final subbrick indices: -1 -1 -1\n", "++ Copy ulay to visualize (volumetric) within user's range:\n", "++ Ulay to be visualized within user range:\n", " [0, 829.000000]\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__tmp_chauf_9t3MZI1OgAi/tmp_ulay.nii\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__tmp_chauf_9t3MZI1OgAi/tmp_olay.nii\n", "++ User-entered function range value value (829.000000)\n", "++ Dimensions (xyzt): 64 64 40 1\n", "++ (initial) Slice spacing ordered (x,y,z) is: 9 9 5\n", "++ 3dAutomask: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Emperor Zhark\n", "++ 3dAutobox: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Auto bbox: x=10..54 y=0..59 z=0..36\n", "++ 3dAutobox: output dataset = QC_sub_08/media/__tmp_chauf_9t3MZI1OgAi/ulay_box_0.nii\n", "++ 3dmaskdump: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Executing 3dcalc()\n", " argv[0]=3dcalc argv[1]=-a argv[2]=QC_sub_08/media/__tmp_chauf_9t3MZI1OgAi/ulay_box_0.nii[0] argv[3]=-expr argv[4]=a argv[5]=-byte argv[6]=-session argv[7]=/tmp argv[8]=-prefix argv[9]=3dcalc_XYZ_bsOflmNcbxf_KJpT0Ip1-g argv[10]=-verbose\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Computing sub-brick 0\n", "++ Scaling output to type byte brick(s)\n", "++ Sub-brick 0: no scale factor\n", "++ Computing output statistics\n", "++ Output dataset /tmp/3dcalc_XYZ_bsOflmNcbxf_KJpT0Ip1-g+orig.BRIK\n", "++ 99900 voxels in the entire dataset (no mask)\n", "++ 1 voxels in the boxes and/or balls\n", "++ Using only the boxes+balls mask\n", "++ How many coors? 3\n", "++ Will have the ref box central coors : SET_DICOM_XYZ 1.5 8.945793 -26.24097\n", "++ Will have the ref box central gapord: 6 8 5\n", "\n", "------------------- end of optionizing -------------------\n", "\n", " -- trying to start Xvfb :204 \n", "[1] 474332\n", "_XSERVTransmkdir: Owner of /tmp/.X11-unix should be set to root\n", "+/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/QC_sub_08/media/__tmp_chauf_9t3MZI1OgAi++ Writing palette image to QC_sub_08/media/qc_00_vorig_EPI.pbar.jpg\n", "++ Writing one 1816x212 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_00_vorig_EPI.sag.jpg'\n", "++ Writing one 1816x212 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_00_vorig_EPI.cor.jpg'\n", "++ Writing one 1816x256 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_00_vorig_EPI.axi.jpg'\n", "\n", "AFNI QUITTs!\n", "\n", "+++ Command Echo:\n", " afni -q -no1D -noplugins -no_detach -com SWITCH_UNDERLAY tmp_ulay.nii -com SWITCH_OVERLAY tmp_olay.nii -com SEE_OVERLAY + -com OPEN_WINDOW sagittalimage opacity=9 mont=7x1:6:1:black crop=0:0,0:0 -com OPEN_WINDOW coronalimage opacity=9 mont=7x1:8:1:black crop=0:0,0:0 -com OPEN_WINDOW axialimage opacity=9 mont=7x1:5:1:black crop=0:0,0:0 -com SET_PBAR_ALL +99 1 gray_scale -com PBAR_SAVEIM QC_sub_08/media/qc_00_vorig_EPI.pbar.jpg dim=64x512H -com SET_SUBBRICKS -1 -1 -1 -com SET_ULAY_RANGE A.all 0 829.000000 -com SET_FUNC_RANGE 829.000000 -com SET_THRESHNEW 0 * -com SET_FUNC_ALPHA No -com SET_FUNC_BOXED No -com SET_FUNC_RESAM NN.NN -com SET_XHAIRS OFF -com SET_XHAIR_GAP -1 -com SET_DICOM_XYZ 1.5 8.945793 -26.24097 -com SAVE_JPEG sagittalimage QC_sub_08/media/qc_00_vorig_EPI.sag blowup=4 -com SAVE_JPEG coronalimage QC_sub_08/media/qc_00_vorig_EPI.cor blowup=4 -com SAVE_JPEG axialimage QC_sub_08/media/qc_00_vorig_EPI.axi blowup=4 -com QUITT QC_sub_08/media/__tmp_chauf_9t3MZI1OgAi \n", "\n", "\n", "+* Removing temporary image directory 'QC_sub_08/media/__tmp_chauf_9t3MZI1OgAi'.\n", "\n", "[1] Done Xvfb :204 -screen 0 1024x768x24\n", "\n", "++ DONE (good exit)\n", " see: QC_sub_08/media/qc_00_vorig_EPI*\n", "\n", "++ Prepare for running @djunct_edgy_align_check (ver = 1.45)\n", "++ Copy refbox (/opt/afni-latest/MNI_avg152T1+tlrc) to workdir\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__workdir_EAC_S9rW96jAAny/REFBOX.nii\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__workdir_EAC_S9rW96jAAny/eac_0_cp.nii\n", "++ 3dAllineate: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Zhark the Registrator\n", "++ Source dataset: /home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/QC_sub_08/media/__workdir_EAC_S9rW96jAAny/eac_0_cp.nii\n", "++ Base dataset: (not given)\n", "++ Loading datasets into memory\n", " + -cmass x y z shifts = 0.000 0.000 0.000\n", " + shift search range is +/- = 57.780 69.336 57.780\n", "++ OpenMP thread count = 15\n", "++ ========== Applying transformation to 1 sub-bricks ==========\n", "++ wsinc5 interpolation setup:\n", " + taper function = Min sidelobe 3 term\n", " + taper cut point = 0.000\n", " + window radius = 5 voxels\n", " + window shape = Cubical\n", " + The above can be altered via the AFNI_WSINC5_* environment variables.\n", " + (To avoid this message, 'setenv AFNI_WSINC5_SILENT YES'.)\n", " + wsinc5 CUBE(5) mask has 1000 points\n", "++ Output dataset QC_sub_08/media/__workdir_EAC_S9rW96jAAny/eac_1_grid2olay.nii\n", "++ 3dAllineate: total CPU time = 0.0 sec Elapsed = 0.2\n", "++ ###########################################################\n", "++ Output dataset ./eac_2_ulay_shrp.nii\n", "++ Just copy olay, bc ulay will get regridded\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__workdir_EAC_S9rW96jAAny/eac_3_cp.nii\n", "++ 3dAutomask: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Emperor Zhark\n", "++ Loading dataset eac_3_cp.nii\n", "++ Forming automask\n", " + Fixed clip level = 125.049599\n", " + Used gradual clip level = 113.553802 .. 136.496994\n", " + Number voxels above clip level = 226551\n", " + Clustering voxels ...\n", " + Largest cluster has 226334 voxels\n", " + Clustering voxels ...\n", " + Largest cluster has 221333 voxels\n", " + Filled 8457 voxels in small holes; now have 229790 voxels\n", " + Filled 5358 voxels in large holes; now have 235148 voxels\n", " + Clustering voxels ...\n", " + Largest cluster has 235139 voxels\n", " + Clustering non-brain voxels ...\n", " + Clustering voxels ...\n", " + Largest cluster has 667426 voxels\n", " + Mask now has 235203 voxels\n", "++ 235203 voxels in the mask [out of 902629: 26.06%]\n", "++ first 9 x-planes are zero [from L]\n", "++ last 6 x-planes are zero [from R]\n", "++ first 10 y-planes are zero [from P]\n", "++ last 8 y-planes are zero [from A]\n", "++ first 3 z-planes are zero [from I]\n", "++ last 11 z-planes are zero [from S]\n", "++ Output dataset ./eac_4_mask.nii\n", "++ CPU time = 0.000000 sec\n", "++ 3dMedianFilter: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Output dataset ./eac_5_mfilt.nii\n", "++ 3dedge3: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ olay_alpha has known value: No\n", "\n", "++ My command:\n", " @chauffeur_afni -ulay eac_2_ulay_shrp.nii -box_focus_slices REFBOX.nii -olay eac_6_edgy.nii -ulay_range_nz 2% 98% -func_range_perc_nz 33 -cbar Reds_and_Blues_Inv -set_subbricks 0 0 0 -olay_alpha No -olay_boxed No -thr_olay 38.126259 -opacity 9 -prefix ../qc_01_ve2a_epi2anat -montx 7 -monty 1 -montgap 1 -montcolor black -save_ftype JPEG -set_xhairs OFF -label_mode 1 -label_size 3 -do_clean -pass\n", "\n", "++ Using AFNI ver : AFNI_21.2.00\n", "++ chauffeur ver : 6.26\n", "\n", "------------------ start of optionizing ------------------\n", "\n", "++ Found input file: eac_2_ulay_shrp.nii\n", "++ Found input file: eac_6_edgy.nii\n", "++ Found focus refbox file: REFBOX.nii\n", "++ Using blowup factor: 2\n", "++ Using opacity: 9\n", "++ Making temporary work directory to copy vis files: ../__tmp_chauf_Y7rYokZCYPP\n", "++ Converted 0 to labels\n", "++ Final subbrick indices: 0 0 0\n", "++ Copy ulay to visualize (volumetric) within user's range:\n", "++ Ulay to be visualized within user range:\n", " [2%, 98%] -> [0.340431, 853.099365]\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./../__tmp_chauf_Y7rYokZCYPP/tmp_ulay.nii\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./../__tmp_chauf_Y7rYokZCYPP/tmp_olay.nii\n", "++ For olay, the 33%ile value leads to\n", " --> upper range value: 99.547501\n", "++ Dimensions (xyzt): 91 109 91 1\n", "++ (initial) Slice spacing ordered (x,y,z) is: 13 15 13\n", "++ 3dAutobox: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Auto bbox: x=10..81 y=10..101 z=3..78\n", "++ 3dAutobox: output dataset = ../__tmp_chauf_Y7rYokZCYPP/ulay_box_0.nii\n", "++ 3dmaskdump: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Executing 3dcalc()\n", " argv[0]=3dcalc argv[1]=-a argv[2]=../__tmp_chauf_Y7rYokZCYPP/ulay_box_0.nii[0] argv[3]=-expr argv[4]=a argv[5]=-byte argv[6]=-session argv[7]=/tmp argv[8]=-prefix argv[9]=3dcalc_XYZ_syOIEalEhstY9tRTfSk_XA argv[10]=-verbose\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Computing sub-brick 0\n", "++ Scaling output to type byte brick(s)\n", "++ Sub-brick 0 scale factor = 314.130402\n", "++ Computing output statistics\n", "++ Output dataset /tmp/3dcalc_XYZ_syOIEalEhstY9tRTfSk_XA+tlrc.BRIK\n", "++ 503424 voxels in the entire dataset (no mask)\n", "++ 1 voxels in the boxes and/or balls\n", "++ Using only the boxes+balls mask\n", "++ How many coors? 3\n", "++ Will have the ref box central coors : SET_DICOM_XYZ 0 16 10\n", "++ Will have the ref box central gapord: 10 13 10\n", "\n", "------------------- end of optionizing -------------------\n", "\n", " -- trying to start Xvfb :195 \n", "[1] 474880\n", "_XSERVTransmkdir: Owner of /tmp/.X11-unix should be set to root\n", "+/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/QC_sub_08/media/__tmp_chauf_Y7rYokZCYPP++ Writing one 1538x182 image to filter '/opt/afni-latest/cjpeg -quality 95 > ../qc_01_ve2a_epi2anat.sag.jpg'\n", "++ Writing one 1286x182 image to filter '/opt/afni-latest/cjpeg -quality 95 > ../qc_01_ve2a_epi2anat.cor.jpg'\n", "++ Writing one 1286x218 image to filter '/opt/afni-latest/cjpeg -quality 95 > ../qc_01_ve2a_epi2anat.axi.jpg'\n", "\n", "AFNI QUITTs!\n", "\n", "+++ Command Echo:\n", " afni -q -no1D -noplugins -no_detach -com SWITCH_UNDERLAY tmp_ulay.nii -com SWITCH_OVERLAY tmp_olay.nii -com SEE_OVERLAY + -com OPEN_WINDOW sagittalimage opacity=9 mont=7x1:10:1:black crop=0:0,0:0 -com OPEN_WINDOW coronalimage opacity=9 mont=7x1:13:1:black crop=0:0,0:0 -com OPEN_WINDOW axialimage opacity=9 mont=7x1:10:1:black crop=0:0,0:0 -com SET_PBAR_ALL -99 1 Reds_and_Blues_Inv -com DO_NOTHING -com SET_SUBBRICKS 0 0 0 -com SET_ULAY_RANGE A.all 0.340431 853.099365 -com SET_FUNC_RANGE 99.547501 -com SET_THRESHNEW 38.126259 * -com SET_FUNC_ALPHA No -com SET_FUNC_BOXED No -com SET_FUNC_RESAM NN.NN -com SET_XHAIRS OFF -com SET_XHAIR_GAP -1 -com SET_DICOM_XYZ 0 16 10 -com SAVE_JPEG sagittalimage ../qc_01_ve2a_epi2anat.sag blowup=2 -com SAVE_JPEG coronalimage ../qc_01_ve2a_epi2anat.cor blowup=2 -com SAVE_JPEG axialimage ../qc_01_ve2a_epi2anat.axi blowup=2 -com QUITT ../__tmp_chauf_Y7rYokZCYPP \n", "\n", "\n", "+* Removing temporary image directory '../__tmp_chauf_Y7rYokZCYPP'.\n", "\n", "[1] Done Xvfb :195 -screen 0 1024x768x24\n", "\n", "++ DONE (good exit)\n", " see: ../qc_01_ve2a_epi2anat*\n", "\n", "\n", "+* Removing temporary workdir 'QC_sub_08/media/__workdir_EAC_S9rW96jAAny*'\n", "\n", "\n", "++ DONE! Image output:\n", " QC_sub_08/media/qc_01_ve2a_epi2anat\n", "\n", "++ Prepare for running @djunct_edgy_align_check (ver = 1.45)\n", "++ Copy refbox (/opt/afni-latest/MNI_avg152T1+tlrc) to workdir\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__workdir_EAC_puwVfbOsxyP/REFBOX.nii\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__workdir_EAC_puwVfbOsxyP/eac_0_cp.nii\n", "++ Output dataset ./eac_1_ulay_shrp.nii\n", "++ 3dAllineate: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Zhark the Registrator\n", "++ Source dataset: /opt/afni-latest/MNI_avg152T1+tlrc.HEAD\n", "++ Base dataset: (not given)\n", "++ Loading datasets into memory\n", " + -cmass x y z shifts = 0.000 0.000 0.000\n", " + shift search range is +/- = 57.780 69.336 57.780\n", "++ OpenMP thread count = 15\n", "++ ========== Applying transformation to 1 sub-bricks ==========\n", "++ Output dataset QC_sub_08/media/__workdir_EAC_puwVfbOsxyP/eac_2_res.nii\n", "++ 3dAllineate: total CPU time = 0.0 sec Elapsed = 0.1\n", "++ ###########################################################\n", "++ 3dAutomask: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Emperor Zhark\n", "++ Loading dataset eac_2_res.nii\n", "++ Forming automask\n", " + Fixed clip level = 0.298080\n", " + Used gradual clip level = 0.286276 .. 0.307885\n", " + Number voxels above clip level = 231114\n", " + Clustering voxels ...\n", " + Largest cluster has 231101 voxels\n", " + Clustering voxels ...\n", " + Largest cluster has 230543 voxels\n", " + Filled 1108 voxels in small holes; now have 231651 voxels\n", " + Filled 1424 voxels in large holes; now have 233075 voxels\n", " + Clustering voxels ...\n", " + Largest cluster has 233075 voxels\n", " + Clustering non-brain voxels ...\n", " + Clustering voxels ...\n", " + Largest cluster has 669554 voxels\n", " + Mask now has 233075 voxels\n", "++ 233075 voxels in the mask [out of 902629: 25.82%]\n", "++ first 10 x-planes are zero [from L]\n", "++ last 9 x-planes are zero [from R]\n", "++ first 11 y-planes are zero [from P]\n", "++ last 9 y-planes are zero [from A]\n", "++ first 3 z-planes are zero [from I]\n", "++ last 13 z-planes are zero [from S]\n", "++ Output dataset ./eac_3_mask.nii\n", "++ CPU time = 0.000000 sec\n", "++ 3dMedianFilter: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Output dataset ./eac_4_mfilt.nii\n", "++ 3dedge3: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ olay_alpha has known value: No\n", "\n", "++ My command:\n", " @chauffeur_afni -ulay eac_1_ulay_shrp.nii -box_focus_slices REFBOX.nii -olay eac_5_edgy.nii -ulay_range 0% 120% -func_range_perc_nz 33 -cbar Reds_and_Blues_Inv -set_subbricks 0 0 0 -olay_alpha No -olay_boxed No -thr_olay 0.500561 -opacity 9 -prefix ../qc_02_va2t_anat2temp -montx 7 -monty 1 -montgap 1 -montcolor black -save_ftype JPEG -set_xhairs OFF -label_mode 1 -label_size 3 -do_clean -pass\n", "\n", "++ Using AFNI ver : AFNI_21.2.00\n", "++ chauffeur ver : 6.26\n", "\n", "------------------ start of optionizing ------------------\n", "\n", "++ Found input file: eac_1_ulay_shrp.nii\n", "++ Found input file: eac_5_edgy.nii\n", "++ Found focus refbox file: REFBOX.nii\n", "++ Using blowup factor: 2\n", "++ Using opacity: 9\n", "++ Making temporary work directory to copy vis files: ../__tmp_chauf_kZKrrbNX9BO\n", "++ Converted 0 to labels\n", "++ Final subbrick indices: 0 0 0\n", "++ Copy ulay to visualize (volumetric) within user's range:\n", "++ Ulay range calc for >100%ile ulay max:\n", " calculating 98%ile value, and then\n", " multiplying it by a scale factor = 1.22448,\n", " in order to produce the 98%ile value\n", "++ Ulay to be visualized within user range:\n", " [0%, 120%] -> [0.000000, 481.832880]\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./../__tmp_chauf_kZKrrbNX9BO/tmp_ulay.nii\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./../__tmp_chauf_kZKrrbNX9BO/tmp_olay.nii\n", "++ For olay, the 33%ile value leads to\n", " --> upper range value: 0.519532\n", "++ Dimensions (xyzt): 91 109 91 1\n", "++ (initial) Slice spacing ordered (x,y,z) is: 13 15 13\n", "++ 3dAutobox: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Auto bbox: x=10..81 y=10..101 z=3..78\n", "++ 3dAutobox: output dataset = ../__tmp_chauf_kZKrrbNX9BO/ulay_box_0.nii\n", "++ 3dmaskdump: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Executing 3dcalc()\n", " argv[0]=3dcalc argv[1]=-a argv[2]=../__tmp_chauf_kZKrrbNX9BO/ulay_box_0.nii[0] argv[3]=-expr argv[4]=a argv[5]=-byte argv[6]=-session argv[7]=/tmp argv[8]=-prefix argv[9]=3dcalc_XYZ_HNs9p0GnClsTmyVg7C7oKA argv[10]=-verbose\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Computing sub-brick 0\n", "++ Scaling output to type byte brick(s)\n", "++ Sub-brick 0 scale factor = 314.130402\n", "++ Computing output statistics\n", "++ Output dataset /tmp/3dcalc_XYZ_HNs9p0GnClsTmyVg7C7oKA+tlrc.BRIK\n", "++ 503424 voxels in the entire dataset (no mask)\n", "++ 1 voxels in the boxes and/or balls\n", "++ Using only the boxes+balls mask\n", "++ How many coors? 3\n", "++ Will have the ref box central coors : SET_DICOM_XYZ 0 16 10\n", "++ Will have the ref box central gapord: 10 13 10\n", "\n", "------------------- end of optionizing -------------------\n", "\n", " -- trying to start Xvfb :887 \n", "[1] 475387\n", "_XSERVTransmkdir: Owner of /tmp/.X11-unix should be set to root\n", "+/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/QC_sub_08/media/__tmp_chauf_kZKrrbNX9BO++ Writing one 1538x182 image to filter '/opt/afni-latest/cjpeg -quality 95 > ../qc_02_va2t_anat2temp.sag.jpg'\n", "++ Writing one 1286x182 image to filter '/opt/afni-latest/cjpeg -quality 95 > ../qc_02_va2t_anat2temp.cor.jpg'\n", "++ Writing one 1286x218 image to filter '/opt/afni-latest/cjpeg -quality 95 > ../qc_02_va2t_anat2temp.axi.jpg'\n", "\n", "AFNI QUITTs!\n", "\n", "+++ Command Echo:\n", " afni -q -no1D -noplugins -no_detach -com SWITCH_UNDERLAY tmp_ulay.nii -com SWITCH_OVERLAY tmp_olay.nii -com SEE_OVERLAY + -com OPEN_WINDOW sagittalimage opacity=9 mont=7x1:10:1:black crop=0:0,0:0 -com OPEN_WINDOW coronalimage opacity=9 mont=7x1:13:1:black crop=0:0,0:0 -com OPEN_WINDOW axialimage opacity=9 mont=7x1:10:1:black crop=0:0,0:0 -com SET_PBAR_ALL -99 1 Reds_and_Blues_Inv -com DO_NOTHING -com SET_SUBBRICKS 0 0 0 -com SET_ULAY_RANGE A.all 0.000000 481.832880 -com SET_FUNC_RANGE 0.519532 -com SET_THRESHNEW 0.500561 * -com SET_FUNC_ALPHA No -com SET_FUNC_BOXED No -com SET_FUNC_RESAM NN.NN -com SET_XHAIRS OFF -com SET_XHAIR_GAP -1 -com SET_DICOM_XYZ 0 16 10 -com SAVE_JPEG sagittalimage ../qc_02_va2t_anat2temp.sag blowup=2 -com SAVE_JPEG coronalimage ../qc_02_va2t_anat2temp.cor blowup=2 -com SAVE_JPEG axialimage ../qc_02_va2t_anat2temp.axi blowup=2 -com QUITT ../__tmp_chauf_kZKrrbNX9BO \n", "\n", "\n", "+* Removing temporary image directory '../__tmp_chauf_kZKrrbNX9BO'.\n", "\n", "[1] Done Xvfb :887 -screen 0 1024x768x24\n", "\n", "++ DONE (good exit)\n", " see: ../qc_02_va2t_anat2temp*\n", "\n", "\n", "+* Removing temporary workdir 'QC_sub_08/media/__workdir_EAC_puwVfbOsxyP*'\n", "\n", "\n", "++ DONE! Image output:\n", " QC_sub_08/media/qc_02_va2t_anat2temp\n", "\n", "++ olay_alpha has known value: Yes\n", "++ pbar name has known extension: jpg\n", "++ My command:\n", " @chauffeur_afni -ulay /opt/afni-latest/MNI_avg152T1+tlrc -box_focus_slices /opt/afni-latest/MNI_avg152T1+tlrc -olay stats.sub_08_REML+tlrc.HEAD -cbar Plasma -pbar_posonly -ulay_range 0% 120% -func_range 16.247768 -thr_olay 4.841945 -olay_alpha Yes -olay_boxed Yes -set_subbricks 0 0 0 -opacity 9 -pbar_saveim QC_sub_08/media/qc_03_vstat_Full_Fstat.pbar.jpg -pbar_comm_range 99%ile in mask -pbar_comm_thr 90%ile in mask, alpha+boxed on -prefix QC_sub_08/media/qc_03_vstat_Full_Fstat -save_ftype JPEG -montx 7 -monty 1 -montgap 1 -montcolor black -set_xhairs OFF -label_mode 1 -label_size 3 -do_clean\n", "\n", "++ Using AFNI ver : AFNI_21.2.00\n", "++ chauffeur ver : 6.26\n", "\n", "------------------ start of optionizing ------------------\n", "\n", "++ Found input file: /opt/afni-latest/MNI_avg152T1+tlrc\n", "++ Found input file: stats.sub_08_REML+tlrc.HEAD\n", "++ Found focus refbox file: /opt/afni-latest/MNI_avg152T1+tlrc\n", "++ Using blowup factor: 2\n", "++ Using opacity: 9\n", "++ Making temporary work directory to copy vis files: QC_sub_08/media/__tmp_chauf_RIc1A3P5Lfs\n", "++ Converted 0 to labels\n", "++ Final subbrick indices: 0 0 0\n", "++ Copy ulay to visualize (volumetric) within user's range:\n", "++ Ulay range calc for >100%ile ulay max:\n", " calculating 98%ile value, and then\n", " multiplying it by a scale factor = 1.22448,\n", " in order to produce the 98%ile value\n", "++ Ulay to be visualized within user range:\n", " [0%, 120%] -> [0.000000, .893150]\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__tmp_chauf_RIc1A3P5Lfs/tmp_ulay.nii\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__tmp_chauf_RIc1A3P5Lfs/tmp_olay.nii\n", "++ User-entered function range value value (16.247768)\n", "++ Dimensions (xyzt): 91 109 91 1\n", "++ (initial) Slice spacing ordered (x,y,z) is: 13 15 13\n", "++ 3dAutobox: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Auto bbox: x=10..81 y=10..101 z=3..78\n", "++ 3dAutobox: output dataset = QC_sub_08/media/__tmp_chauf_RIc1A3P5Lfs/ulay_box_0.nii\n", "++ 3dmaskdump: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Executing 3dcalc()\n", " argv[0]=3dcalc argv[1]=-a argv[2]=QC_sub_08/media/__tmp_chauf_RIc1A3P5Lfs/ulay_box_0.nii[0] argv[3]=-expr argv[4]=a argv[5]=-byte argv[6]=-session argv[7]=/tmp argv[8]=-prefix argv[9]=3dcalc_XYZ_5LfIQJma2lf0xXmmrFCTgg argv[10]=-verbose\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Computing sub-brick 0\n", "++ Scaling output to type byte brick(s)\n", "++ Sub-brick 0 scale factor = 314.130402\n", "++ Computing output statistics\n", "++ Output dataset /tmp/3dcalc_XYZ_5LfIQJma2lf0xXmmrFCTgg+tlrc.BRIK\n", "++ 503424 voxels in the entire dataset (no mask)\n", "++ 1 voxels in the boxes and/or balls\n", "++ Using only the boxes+balls mask\n", "++ How many coors? 3\n", "++ Will have the ref box central coors : SET_DICOM_XYZ 0 16 10\n", "++ Will have the ref box central gapord: 10 13 10\n", "\n", "------------------- end of optionizing -------------------\n", "\n", " -- trying to start Xvfb :714 \n", "[1] 476115\n", "_XSERVTransmkdir: Owner of /tmp/.X11-unix should be set to root\n", "+/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/QC_sub_08/media/__tmp_chauf_RIc1A3P5Lfs++ Writing palette image to QC_sub_08/media/qc_03_vstat_Full_Fstat.pbar.jpg\n", "++ Writing one 1538x182 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_03_vstat_Full_Fstat.sag.jpg'\n", "++ Writing one 1286x182 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_03_vstat_Full_Fstat.cor.jpg'\n", "++ Writing one 1286x218 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_03_vstat_Full_Fstat.axi.jpg'\n", "\n", "AFNI QUITTs!\n", "\n", "+++ Command Echo:\n", " afni -q -no1D -noplugins -no_detach -com SWITCH_UNDERLAY tmp_ulay.nii -com SWITCH_OVERLAY tmp_olay.nii -com SEE_OVERLAY + -com OPEN_WINDOW sagittalimage opacity=9 mont=7x1:10:1:black crop=0:0,0:0 -com OPEN_WINDOW coronalimage opacity=9 mont=7x1:13:1:black crop=0:0,0:0 -com OPEN_WINDOW axialimage opacity=9 mont=7x1:10:1:black crop=0:0,0:0 -com SET_PBAR_ALL +99 1 Plasma -com PBAR_SAVEIM QC_sub_08/media/qc_03_vstat_Full_Fstat.pbar.jpg dim=64x512H -com SET_SUBBRICKS 0 0 0 -com SET_ULAY_RANGE A.all 0.000000 .893150 -com SET_FUNC_RANGE 16.247768 -com SET_THRESHNEW 4.841945 * -com SET_FUNC_ALPHA Yes -com SET_FUNC_BOXED Yes -com SET_FUNC_RESAM NN.NN -com SET_XHAIRS OFF -com SET_XHAIR_GAP -1 -com SET_DICOM_XYZ 0 16 10 -com SAVE_JPEG sagittalimage QC_sub_08/media/qc_03_vstat_Full_Fstat.sag blowup=2 -com SAVE_JPEG coronalimage QC_sub_08/media/qc_03_vstat_Full_Fstat.cor blowup=2 -com SAVE_JPEG axialimage QC_sub_08/media/qc_03_vstat_Full_Fstat.axi blowup=2 -com QUITT QC_sub_08/media/__tmp_chauf_RIc1A3P5Lfs \n", "\n", "\n", "+* Removing temporary image directory 'QC_sub_08/media/__tmp_chauf_RIc1A3P5Lfs'.\n", "\n", "[1] Done Xvfb :714 -screen 0 1024x768x24\n", "\n", "++ DONE (good exit)\n", " see: QC_sub_08/media/qc_03_vstat_Full_Fstat*\n", "\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "Traceback (most recent call last):\n", " File \"/opt/afni-latest/1dplot.py\", line 50, in \n", " from afnipy import lib_plot_1D as lpod\n", " File \"/opt/afni-latest/afnipy/lib_plot_1D.py\", line 39, in \n", " import matplotlib.pyplot as plt\n", "ModuleNotFoundError: No module named 'matplotlib'\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "Traceback (most recent call last):\n", " File \"/opt/afni-latest/1dplot.py\", line 50, in \n", " from afnipy import lib_plot_1D as lpod\n", " File \"/opt/afni-latest/afnipy/lib_plot_1D.py\", line 39, in \n", " import matplotlib.pyplot as plt\n", "ModuleNotFoundError: No module named 'matplotlib'\n", "++ 3dGrayplot: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", " + Loading dataset ./errts.sub_08_REML+tlrc.HEAD\n", " + Number of voxels in mask = 68948\n", " + 3dGrayplot: Elapsed = 8.4 s\n", "++ pbar name has known extension: jpg\n", "++ My command:\n", " @chauffeur_afni -ulay full_mask.sub_08+tlrc.HEAD -olay full_mask.sub_08+tlrc.HEAD -box_focus_slices AMASK_FOCUS_OLAY -cbar gray_scale -func_range 3.29 -blowup 1 -set_subbricks 0 0 0 -opacity 9 -pbar_saveim QC_sub_08/media/qc_06_mot_grayplot.pbar.jpg -pbar_comm_range for normal distr, bounds of 0.001 prob tail -prefix __tmp_ZXCV_img -save_ftype JPEG -montx 1 -monty 1 -set_xhairs OFF -label_mode 1 -label_size 3 -do_clean\n", "\n", "++ Using AFNI ver : AFNI_21.2.00\n", "++ chauffeur ver : 6.26\n", "\n", "------------------ start of optionizing ------------------\n", "\n", "++ Found input file: full_mask.sub_08+tlrc.HEAD\n", "++ Found input file: full_mask.sub_08+tlrc.HEAD\n", "++ Using blowup factor: 1\n", "++ Using opacity: 9\n", "++ Making temporary work directory to copy vis files: ./__tmp_chauf_1UXyS66kodz\n", "++ Converted 0 to labels\n", "++ Final subbrick indices: 0 0 0\n", "++ Copy ulay to visualize (volumetric) within user's range:\n", "++ Ulay to be visualized within user range:\n", " [0%, 98%] -> [0.000000, 1.000000]\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ././__tmp_chauf_1UXyS66kodz/tmp_ulay.nii\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ././__tmp_chauf_1UXyS66kodz/tmp_olay.nii\n", "++ User-entered function range value value (3.29)\n", "++ Dimensions (xyzt): 61 73 61 1\n", "++ (initial) Slice spacing ordered (x,y,z) is: 61 73 61\n", "++ 3dAutomask: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: Emperor Zhark\n", "++ 3dAutobox: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Auto bbox: x=0..60 y=0..72 z=0..60\n", "++ THD_zeropad: all pad values are zero - just copying dataset\n", "++ 3dAutobox: output dataset = ./__tmp_chauf_1UXyS66kodz/ulay_box_0.nii\n", "++ 3dmaskdump: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Executing 3dcalc()\n", " argv[0]=3dcalc argv[1]=-a argv[2]=./__tmp_chauf_1UXyS66kodz/ulay_box_0.nii[0] argv[3]=-expr argv[4]=a argv[5]=-byte argv[6]=-session argv[7]=/tmp argv[8]=-prefix argv[9]=3dcalc_XYZ_4jCjngDrOFfg8kfbqKMAwQ argv[10]=-verbose\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Computing sub-brick 0\n", "++ Scaling output to type byte brick(s)\n", "++ Sub-brick 0: no scale factor\n", "++ Computing output statistics\n", "++ Output dataset /tmp/3dcalc_XYZ_4jCjngDrOFfg8kfbqKMAwQ+tlrc.BRIK\n", "++ 271633 voxels in the entire dataset (no mask)\n", "++ 1 voxels in the boxes and/or balls\n", "++ Using only the boxes+balls mask\n", "++ How many coors? 3\n", "++ Will have the ref box central coors : SET_DICOM_XYZ 3 18 18\n", "++ Will have the ref box central gapord: 61 73 61\n", "\n", "------------------- end of optionizing -------------------\n", "\n", " -- trying to start Xvfb :138 \n", "[1] 476846\n", "_XSERVTransmkdir: Owner of /tmp/.X11-unix should be set to root\n", "+/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/__tmp_chauf_1UXyS66kodz++ Writing palette image to QC_sub_08/media/qc_06_mot_grayplot.pbar.jpg\n", "++ Writing one 73x61 image to filter '/opt/afni-latest/cjpeg -quality 95 > ./__tmp_ZXCV_img.sag.jpg'\n", "++ Writing one 61x61 image to filter '/opt/afni-latest/cjpeg -quality 95 > ./__tmp_ZXCV_img.cor.jpg'\n", "++ Writing one 61x73 image to filter '/opt/afni-latest/cjpeg -quality 95 > ./__tmp_ZXCV_img.axi.jpg'\n", "\n", "AFNI QUITTs!\n", "\n", "+++ Command Echo:\n", " afni -q -no1D -noplugins -no_detach -com SWITCH_UNDERLAY tmp_ulay.nii -com SWITCH_OVERLAY tmp_olay.nii -com SEE_OVERLAY + -com OPEN_WINDOW sagittalimage opacity=9 mont=1x1:61:0:black crop=0:0,0:0 -com OPEN_WINDOW coronalimage opacity=9 mont=1x1:73:0:black crop=0:0,0:0 -com OPEN_WINDOW axialimage opacity=9 mont=1x1:61:0:black crop=0:0,0:0 -com SET_PBAR_ALL -99 1 gray_scale -com PBAR_SAVEIM QC_sub_08/media/qc_06_mot_grayplot.pbar.jpg dim=64x512H -com SET_SUBBRICKS 0 0 0 -com SET_ULAY_RANGE A.all 0.000000 1.000000 -com SET_FUNC_RANGE 3.29 -com SET_THRESHNEW 0 * -com SET_FUNC_ALPHA No -com SET_FUNC_BOXED No -com SET_FUNC_RESAM NN.NN -com SET_XHAIRS OFF -com SET_XHAIR_GAP -1 -com SET_DICOM_XYZ 3 18 18 -com SAVE_JPEG sagittalimage ./__tmp_ZXCV_img.sag blowup=1 -com SAVE_JPEG coronalimage ./__tmp_ZXCV_img.cor blowup=1 -com SAVE_JPEG axialimage ./__tmp_ZXCV_img.axi blowup=1 -com QUITT ./__tmp_chauf_1UXyS66kodz \n", "\n", "\n", "+* Removing temporary image directory './__tmp_chauf_1UXyS66kodz'.\n", "\n", "\n", "++ DONE (good exit)\n", " see: ./__tmp_ZXCV_img*\n", "\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "Traceback (most recent call last):\n", " File \"/opt/afni-latest/1dplot.py\", line 50, in \n", " from afnipy import lib_plot_1D as lpod\n", " File \"/opt/afni-latest/afnipy/lib_plot_1D.py\", line 39, in \n", " import matplotlib.pyplot as plt\n", "ModuleNotFoundError: No module named 'matplotlib'\n", "djpeg: can't open __tmp_img_enorm.jpg\n", "pnmcat: Error reading first byte of what is expected to be a Netpbm magic number. Most often, this means your input file is empty\n", "Empty input file\n", "\n", "+* Removing temporary files '__tmp_gluing*'\n", "\n", "\n", "++ DONE! Image output:\n", " QC_sub_08/media/qc_06_mot_grayplot.jpg\n", "\n", "rm: cannot remove '__tmp_img_enorm.jpg': No such file or directory\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "Traceback (most recent call last):\n", " File \"/opt/afni-latest/1dplot.py\", line 50, in \n", " from afnipy import lib_plot_1D as lpod\n", " File \"/opt/afni-latest/afnipy/lib_plot_1D.py\", line 39, in \n", " import matplotlib.pyplot as plt\n", "ModuleNotFoundError: No module named 'matplotlib'\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "Traceback (most recent call last):\n", " File \"/opt/afni-latest/1dplot.py\", line 50, in \n", " from afnipy import lib_plot_1D as lpod\n", " File \"/opt/afni-latest/afnipy/lib_plot_1D.py\", line 39, in \n", " import matplotlib.pyplot as plt\n", "ModuleNotFoundError: No module named 'matplotlib'\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "++ Check summary of degrees of freedom in: QC_sub_08/media/qc_09_regr_df.dat\n", "++ olay_alpha has known value: Yes\n", "++ pbar name has known extension: jpg\n", "++ My command:\n", " @chauffeur_afni -ulay /opt/afni-latest/MNI_avg152T1+tlrc -box_focus_slices /opt/afni-latest/MNI_avg152T1+tlrc -olay corr_brain+tlrc.HEAD -cbar Reds_and_Blues_Inv -ulay_range 0% 120% -func_range 0.6 -thr_olay 0.3 -olay_alpha Yes -olay_boxed Yes -set_subbricks 0 0 0 -opacity 9 -pbar_saveim QC_sub_08/media/qc_10_regr_corr_errts.pbar.jpg -pbar_comm_range Pearson r -pbar_comm_thr alpha+boxed on -prefix QC_sub_08/media/qc_10_regr_corr_errts -save_ftype JPEG -montx 7 -monty 1 -montgap 1 -montcolor black -set_xhairs OFF -label_mode 1 -label_size 3 -do_clean\n", "\n", "++ Using AFNI ver : AFNI_21.2.00\n", "++ chauffeur ver : 6.26\n", "\n", "------------------ start of optionizing ------------------\n", "\n", "++ Found input file: /opt/afni-latest/MNI_avg152T1+tlrc\n", "++ Found input file: corr_brain+tlrc.HEAD\n", "++ Found focus refbox file: /opt/afni-latest/MNI_avg152T1+tlrc\n", "++ Using blowup factor: 2\n", "++ Using opacity: 9\n", "++ Making temporary work directory to copy vis files: QC_sub_08/media/__tmp_chauf_0ctY7xOMulm\n", "++ Converted 0 to labels\n", "++ Final subbrick indices: 0 0 0\n", "++ Copy ulay to visualize (volumetric) within user's range:\n", "++ Ulay range calc for >100%ile ulay max:\n", " calculating 98%ile value, and then\n", " multiplying it by a scale factor = 1.22448,\n", " in order to produce the 98%ile value\n", "++ Ulay to be visualized within user range:\n", " [0%, 120%] -> [0.000000, .893150]\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__tmp_chauf_0ctY7xOMulm/tmp_ulay.nii\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__tmp_chauf_0ctY7xOMulm/tmp_olay.nii\n", "++ User-entered function range value value (0.6)\n", "++ Dimensions (xyzt): 91 109 91 1\n", "++ (initial) Slice spacing ordered (x,y,z) is: 13 15 13\n", "++ 3dAutobox: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Auto bbox: x=10..81 y=10..101 z=3..78\n", "++ 3dAutobox: output dataset = QC_sub_08/media/__tmp_chauf_0ctY7xOMulm/ulay_box_0.nii\n", "++ 3dmaskdump: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Executing 3dcalc()\n", " argv[0]=3dcalc argv[1]=-a argv[2]=QC_sub_08/media/__tmp_chauf_0ctY7xOMulm/ulay_box_0.nii[0] argv[3]=-expr argv[4]=a argv[5]=-byte argv[6]=-session argv[7]=/tmp argv[8]=-prefix argv[9]=3dcalc_XYZ_ioqpO9xu8c4CL1Ohrtz_Sw argv[10]=-verbose\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Computing sub-brick 0\n", "++ Scaling output to type byte brick(s)\n", "++ Sub-brick 0 scale factor = 314.130402\n", "++ Computing output statistics\n", "++ Output dataset /tmp/3dcalc_XYZ_ioqpO9xu8c4CL1Ohrtz_Sw+tlrc.BRIK\n", "++ 503424 voxels in the entire dataset (no mask)\n", "++ 1 voxels in the boxes and/or balls\n", "++ Using only the boxes+balls mask\n", "++ How many coors? 3\n", "++ Will have the ref box central coors : SET_DICOM_XYZ 0 16 10\n", "++ Will have the ref box central gapord: 10 13 10\n", "\n", "------------------- end of optionizing -------------------\n", "\n", " -- trying to start Xvfb :27 \n", "[1] 477741\n", "_XSERVTransmkdir: Owner of /tmp/.X11-unix should be set to root\n", "+/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/QC_sub_08/media/__tmp_chauf_0ctY7xOMulm++ Writing palette image to QC_sub_08/media/qc_10_regr_corr_errts.pbar.jpg\n", "++ Writing one 1538x182 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_10_regr_corr_errts.sag.jpg'\n", "++ Writing one 1286x182 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_10_regr_corr_errts.cor.jpg'\n", "++ Writing one 1286x218 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_10_regr_corr_errts.axi.jpg'\n", "\n", "AFNI QUITTs!\n", "\n", "+++ Command Echo:\n", " afni -q -no1D -noplugins -no_detach -com SWITCH_UNDERLAY tmp_ulay.nii -com SWITCH_OVERLAY tmp_olay.nii -com SEE_OVERLAY + -com OPEN_WINDOW sagittalimage opacity=9 mont=7x1:10:1:black crop=0:0,0:0 -com OPEN_WINDOW coronalimage opacity=9 mont=7x1:13:1:black crop=0:0,0:0 -com OPEN_WINDOW axialimage opacity=9 mont=7x1:10:1:black crop=0:0,0:0 -com SET_PBAR_ALL -99 1 Reds_and_Blues_Inv -com PBAR_SAVEIM QC_sub_08/media/qc_10_regr_corr_errts.pbar.jpg dim=64x512H -com SET_SUBBRICKS 0 0 0 -com SET_ULAY_RANGE A.all 0.000000 .893150 -com SET_FUNC_RANGE 0.6 -com SET_THRESHNEW 0.3 * -com SET_FUNC_ALPHA Yes -com SET_FUNC_BOXED Yes -com SET_FUNC_RESAM NN.NN -com SET_XHAIRS OFF -com SET_XHAIR_GAP -1 -com SET_DICOM_XYZ 0 16 10 -com SAVE_JPEG sagittalimage QC_sub_08/media/qc_10_regr_corr_errts.sag blowup=2 -com SAVE_JPEG coronalimage QC_sub_08/media/qc_10_regr_corr_errts.cor blowup=2 -com SAVE_JPEG axialimage QC_sub_08/media/qc_10_regr_corr_errts.axi blowup=2 -com QUITT QC_sub_08/media/__tmp_chauf_0ctY7xOMulm \n", "\n", "\n", "+* Removing temporary image directory 'QC_sub_08/media/__tmp_chauf_0ctY7xOMulm'.\n", "\n", "[1] Done Xvfb :27 -screen 0 1024x768x24\n", "\n", "++ DONE (good exit)\n", " see: QC_sub_08/media/qc_10_regr_corr_errts*\n", "\n", "++ Prepare for running adjunct_apqc_tsnr_general (ver = 1.1)\n", "++ MODE: 10\n", "++ olay_alpha has known value: No\n", "*+ Setting pbar file extension: jpg\n", "\n", "\n", "++ My command:\n", " @chauffeur_afni -ulay /opt/afni-latest/MNI_avg152T1+tlrc -olay TSNR.sub_08+tlrc.HEAD -ulay_range 0% 120% -func_range 187 -box_focus_slices /opt/afni-latest/MNI_avg152T1+tlrc -set_subbricks 0 0 0 -pbar_posonly -blowup 2 -cbar 187=red 166=oran-red 146=orange 126=oran-yell 105=yell-oran 85=yellow 65=lt-blue2 36=blue 0=none -cbar_ncolors 8 -cbar_topval EMPTY -opacity 4 -olay_alpha No -olay_boxed No -thr_olay 0 -pbar_saveim QC_sub_08/media/qc_11_regr_tsnr_fin.pbar -pbar_comm_range 95%ile in mask -pbar_comm_gen cbar: hot color range (5-95%ile TSNR in mask): 65 - 187 -prefix QC_sub_08/media/qc_11_regr_tsnr_fin -save_ftype JPEG -montx 7 -monty 1 -montgap 1 -montcolor black -set_xhairs OFF -label_mode 1 -label_size 3 -do_clean -pass -pass\n", "\n", "++ Using AFNI ver : AFNI_21.2.00\n", "++ chauffeur ver : 6.26\n", "\n", "------------------ start of optionizing ------------------\n", "\n", "++ Found input file: /opt/afni-latest/MNI_avg152T1+tlrc\n", "++ Found input file: TSNR.sub_08+tlrc.HEAD\n", "++ Found focus refbox file: /opt/afni-latest/MNI_avg152T1+tlrc\n", "++ Using blowup factor: 2\n", "++ Using opacity: 4\n", "++ Making temporary work directory to copy vis files: QC_sub_08/media/__tmp_chauf_ApCgHDTmsbC\n", "++ Converted 0 to labels\n", "++ Final subbrick indices: 0 0 0\n", "++ Copy ulay to visualize (volumetric) within user's range:\n", "++ Ulay range calc for >100%ile ulay max:\n", " calculating 98%ile value, and then\n", " multiplying it by a scale factor = 1.22448,\n", " in order to produce the 98%ile value\n", "++ Ulay to be visualized within user range:\n", " [0%, 120%] -> [0.000000, .893150]\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__tmp_chauf_ApCgHDTmsbC/tmp_ulay.nii\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Output dataset ./QC_sub_08/media/__tmp_chauf_ApCgHDTmsbC/tmp_olay.nii\n", "++ User-entered function range value value (187)\n", "++ Dimensions (xyzt): 91 109 91 1\n", "++ (initial) Slice spacing ordered (x,y,z) is: 13 15 13\n", "++ 3dAutobox: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Auto bbox: x=10..81 y=10..101 z=3..78\n", "++ 3dAutobox: output dataset = QC_sub_08/media/__tmp_chauf_ApCgHDTmsbC/ulay_box_0.nii\n", "++ 3dmaskdump: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Executing 3dcalc()\n", " argv[0]=3dcalc argv[1]=-a argv[2]=QC_sub_08/media/__tmp_chauf_ApCgHDTmsbC/ulay_box_0.nii[0] argv[3]=-expr argv[4]=a argv[5]=-byte argv[6]=-session argv[7]=/tmp argv[8]=-prefix argv[9]=3dcalc_XYZ_hi7FvYWkOu-Y-oAjK1_msw argv[10]=-verbose\n", "++ 3dcalc: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "++ Authored by: A cast of thousands\n", "++ Computing sub-brick 0\n", "++ Scaling output to type byte brick(s)\n", "++ Sub-brick 0 scale factor = 314.130402\n", "++ Computing output statistics\n", "++ Output dataset /tmp/3dcalc_XYZ_hi7FvYWkOu-Y-oAjK1_msw+tlrc.BRIK\n", "++ 503424 voxels in the entire dataset (no mask)\n", "++ 1 voxels in the boxes and/or balls\n", "++ Using only the boxes+balls mask\n", "++ How many coors? 3\n", "++ Will have the ref box central coors : SET_DICOM_XYZ 0 16 10\n", "++ Will have the ref box central gapord: 10 13 10\n", "\n", "------------------- end of optionizing -------------------\n", "\n", " -- trying to start Xvfb :568 \n", "[1] 478418\n", "_XSERVTransmkdir: Owner of /tmp/.X11-unix should be set to root\n", "+/home/jovyan/Git_repositories/example-notebooks/books/functional_imaging/afni_pro_glm/sub_08.results/QC_sub_08/media/__tmp_chauf_ApCgHDTmsbC++ Writing palette image to QC_sub_08/media/qc_11_regr_tsnr_fin.pbar.jpg\n", "++ Writing one 1538x182 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_11_regr_tsnr_fin.sag.jpg'\n", "++ Writing one 1286x182 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_11_regr_tsnr_fin.cor.jpg'\n", "++ Writing one 1286x218 image to filter '/opt/afni-latest/cjpeg -quality 95 > QC_sub_08/media/qc_11_regr_tsnr_fin.axi.jpg'\n", "\n", "AFNI QUITTs!\n", "\n", "+++ Command Echo:\n", " afni -q -no1D -noplugins -no_detach -com SWITCH_UNDERLAY tmp_ulay.nii -com SWITCH_OVERLAY tmp_olay.nii -com SEE_OVERLAY + -com OPEN_WINDOW sagittalimage opacity=4 mont=7x1:10:1:black crop=0:0,0:0 -com OPEN_WINDOW coronalimage opacity=4 mont=7x1:13:1:black crop=0:0,0:0 -com OPEN_WINDOW axialimage opacity=4 mont=7x1:10:1:black crop=0:0,0:0 -com SET_PBAR_ALL +8 187=red 166=oran-red 146=orange 126=oran-yell 105=yell-oran 85=yellow 65=lt-blue2 36=blue 0=none -com PBAR_SAVEIM QC_sub_08/media/qc_11_regr_tsnr_fin.pbar.jpg dim=64x512H -com SET_SUBBRICKS 0 0 0 -com SET_ULAY_RANGE A.all 0.000000 .893150 -com SET_FUNC_RANGE 187 -com SET_THRESHNEW 0 * -com SET_FUNC_ALPHA No -com SET_FUNC_BOXED No -com SET_FUNC_RESAM NN.NN -com SET_XHAIRS OFF -com SET_XHAIR_GAP -1 -com SET_DICOM_XYZ 0 16 10 -com SAVE_JPEG sagittalimage QC_sub_08/media/qc_11_regr_tsnr_fin.sag blowup=2 -com SAVE_JPEG coronalimage QC_sub_08/media/qc_11_regr_tsnr_fin.cor blowup=2 -com SAVE_JPEG axialimage QC_sub_08/media/qc_11_regr_tsnr_fin.axi blowup=2 -com QUITT QC_sub_08/media/__tmp_chauf_ApCgHDTmsbC \n", "\n", "\n", "+* Removing temporary image directory 'QC_sub_08/media/__tmp_chauf_ApCgHDTmsbC'.\n", "\n", "[1] Done Xvfb :568 -screen 0 1024x768x24\n", "\n", "++ DONE (good exit)\n", " see: QC_sub_08/media/qc_11_regr_tsnr_fin*\n", "\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "++ Check for corr matrix warnings in: QC_sub_08/media/qc_12_warns_xmat.dat\n", "++ Check basic summary quants from proc in: QC_sub_08/media/qc_14_qsumm_ssrev.dat\n", "\n", "\n", "# +++++++++++ Check output of @ss_review_basic +++++++++++ #\n", "\n", "\n", "subject ID : sub_08\n", "AFNI version : AFNI_21.2.00\n", "AFNI package : linux_openmp_64\n", "TR : 2.0\n", "TRs removed (per run) : 0\n", "num stim classes provided : 2\n", "final anatomy dset : anat_final.sub_08+tlrc.HEAD\n", "final stats dset : stats.sub_08_REML+tlrc.HEAD\n", "final voxel resolution : 3.000000\t3.000000\t3.000000\n", "\n", "motion limit : 0.3\n", "num TRs above mot limit : 2\n", "average motion (per TR) : 0.0767002\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "max motion displacement : 0.868807\n", "average outlier frac (TR) : 0.00122644\n", "\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "num runs found : 2\n", "num TRs per run : 146 146\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "TRs total : 292\n", "degrees of freedom used : 14\n", "degrees of freedom left : 278\n", "\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "num regs of interest : 2\n", "num TRs per stim : 120 110\n", "ave mot per sresp : 0.070899 0.079812\n", "\n", "TSNR average : 136.907\n", "global correlation (GCOR) : 0.0806407\n", "anat/EPI mask Dice coef : 0.928854\n", "anat/templ mask Dice coef : 0.960445\n", "maximum F-stat (masked) : 52.0792\n", "\n", "\n", "apqc_make_html.py -qc_dir QC_sub_08\n", "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "\n", "++ Done! Wrote QC HTML. To check, consider:\n", "\n", " afni_open -b QC_sub_08/index.html\n", "\n", "echo \\nconsider running: \\n\\n afni_open -b ./afni_pro_glm/sub_08.results/QC_sub_08/index.html\\n\n", "\n", "consider running: \n", "\n", " afni_open -b ./afni_pro_glm/sub_08.results/QC_sub_08/index.html\n", "\n", "endif\n", "cd ..\n", "echo execution finished: `date`\n", "date\n", "execution finished: Thu May 1 05:32:23 UTC 2025\n" ] } ], "source": [ "! tcsh -xef proc.sub_08 |& tee output.proc.sub_08" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## Results: Examining the output\n", "Let's take a look at the results directory. Files containing the ```\"pb\"``` string are the preprocessed functional images at each step of the pipeline, while those with ```\"T1w\"``` refer to the preprocessed anatomical images. Additional auxiliary functional images are generated to assist with specific preprocessing steps, and auxiliary text files store information such as transformation matrices and motion parameters.\n", "\n", "The file named ```stats.sub_08+tlrc``` contains results from the traditional ```3dDeconvolve``` analysis, whereas ```stats.sub_08_REML+tlrc``` contains results from the ```3dREMLfit``` approach, which accounts for temporal autocorrelation.\n", "\n", "You'll also see several files beginning with ```\"X\"```, such as ```X.xmat.1D```, which represent components of the design matrix used in the regression analysis.\n", "\n", "AFNI also automatically creates a quality control directory named ```QC_sub_08```." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "scroll-output" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3dREMLfit.err\t\t\t\t out.gcor.1D\n", "@epi_review.sub_08\t\t\t out.mask_ae_dice.txt\n", "@ss_review_basic\t\t\t out.mask_ae_overlap.txt\n", "@ss_review_driver\t\t\t out.mask_at_dice.txt\n", "@ss_review_driver_commands\t\t out.min_outlier.txt\n", "@ss_review_html\t\t\t\t out.pre_ss_warn.txt\n", "QC_sub_08\t\t\t\t out.review_html\n", "TSNR.sub_08+tlrc.BRIK\t\t\t out.ss_review.sub_08.txt\n", "TSNR.sub_08+tlrc.HEAD\t\t\t out.ss_review_uvars.json\n", "X.jpg\t\t\t\t\t outcount.r01.1D\n", "X.stim.xmat.1D\t\t\t\t outcount.r02.1D\n", "X.xmat.1D\t\t\t\t outcount_rall.1D\n", "_tmp.txt\t\t\t\t pb00.sub_08.r01.tcat+orig.BRIK\n", "_tmp2.txt\t\t\t\t pb00.sub_08.r01.tcat+orig.HEAD\n", "all_runs.sub_08+tlrc.BRIK\t\t pb00.sub_08.r02.tcat+orig.BRIK\n", "all_runs.sub_08+tlrc.HEAD\t\t pb00.sub_08.r02.tcat+orig.HEAD\n", "anat_final.sub_08+tlrc.BRIK\t\t pb01.sub_08.r01.volreg+tlrc.BRIK\n", "anat_final.sub_08+tlrc.HEAD\t\t pb01.sub_08.r01.volreg+tlrc.HEAD\n", "anat_w_skull_warped+tlrc.BRIK\t\t pb01.sub_08.r02.volreg+tlrc.BRIK\n", "anat_w_skull_warped+tlrc.HEAD\t\t pb01.sub_08.r02.volreg+tlrc.HEAD\n", "corr_brain+tlrc.BRIK\t\t\t pb02.sub_08.r01.blur+tlrc.BRIK\n", "corr_brain+tlrc.HEAD\t\t\t pb02.sub_08.r01.blur+tlrc.HEAD\n", "dfile.r01.1D\t\t\t\t pb02.sub_08.r02.blur+tlrc.BRIK\n", "dfile.r02.1D\t\t\t\t pb02.sub_08.r02.blur+tlrc.HEAD\n", "dfile_rall.1D\t\t\t\t pb03.sub_08.r01.scale+tlrc.BRIK\n", "errts.sub_08+tlrc.BRIK\t\t\t pb03.sub_08.r01.scale+tlrc.HEAD\n", "errts.sub_08+tlrc.HEAD\t\t\t pb03.sub_08.r02.scale+tlrc.BRIK\n", "errts.sub_08_REML+tlrc.BRIK\t\t pb03.sub_08.r02.scale+tlrc.HEAD\n", "errts.sub_08_REML+tlrc.HEAD\t\t pre.sub-08_T1w_ns+orig.BRIK\n", "final_epi_vr_base_min_outlier+tlrc.BRIK pre.sub-08_T1w_ns+orig.HEAD\n", "final_epi_vr_base_min_outlier+tlrc.HEAD pre.sub-08_T1w_ns_WarpDrive.log\n", "fitts.sub_08+tlrc.BRIK\t\t\t stats.REML_cmd\n", "fitts.sub_08+tlrc.HEAD\t\t\t stats.sub_08+tlrc.BRIK\n", "fitts.sub_08_REML+tlrc.BRIK\t\t stats.sub_08+tlrc.HEAD\n", "fitts.sub_08_REML+tlrc.HEAD\t\t stats.sub_08_REML+tlrc.BRIK\n", "full_mask.sub_08+tlrc.BRIK\t\t stats.sub_08_REML+tlrc.HEAD\n", "full_mask.sub_08+tlrc.HEAD\t\t stats.sub_08_REMLvar+tlrc.BRIK\n", "ideal_congruent.1D\t\t\t stats.sub_08_REMLvar+tlrc.HEAD\n", "ideal_incongruent.1D\t\t\t stimuli\n", "mask_anat.sub_08+tlrc.BRIK\t\t sub-08_T1w+orig.BRIK\n", "mask_anat.sub_08+tlrc.HEAD\t\t sub-08_T1w+orig.HEAD\n", "mask_epi_anat.sub_08+tlrc.BRIK\t\t sub-08_T1w_al_junk+orig.BRIK\n", "mask_epi_anat.sub_08+tlrc.HEAD\t\t sub-08_T1w_al_junk+orig.HEAD\n", "mask_epi_extents+tlrc.BRIK\t\t sub-08_T1w_al_junk_mat.aff12.1D\n", "mask_epi_extents+tlrc.HEAD\t\t sub-08_T1w_ns+orig.BRIK\n", "mask_group+tlrc.BRIK\t\t\t sub-08_T1w_ns+orig.HEAD\n", "mask_group+tlrc.HEAD\t\t\t sub-08_T1w_ns+tlrc.BRIK\n", "mat.basewarp.aff12.1D\t\t\t sub-08_T1w_ns+tlrc.HEAD\n", "mat.r01.vr.aff12.1D\t\t\t sub-08_T1w_ns.Xaff12.1D\n", "mat.r01.warp.aff12.1D\t\t\t sub-08_T1w_ns.Xat.1D\n", "mat.r02.vr.aff12.1D\t\t\t sub-08_T1w_ns.maskwarp.Xat.1D\n", "mat.r02.warp.aff12.1D\t\t\t sub-08_T1w_ns_shft.1D\n", "mean.errts.1D\t\t\t\t sum_ideal.1D\n", "mean.errts.unit.1D\t\t\t volumized+tlrc.BRIK\n", "motion_demean.1D\t\t\t volumized+tlrc.HEAD\n", "motion_sub_08_enorm.1D\t\t\t vr_base_min_outlier+orig.BRIK\n", "out.allcostX.txt\t\t\t vr_base_min_outlier+orig.HEAD\n", "out.cormat_warn.txt\t\t\t warp.anat.Xat.1D\n", "out.df_info.txt\n" ] } ], "source": [ "!ls ./afni_pro_glm/sub_08.results" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### Design Matrix\n", "Let's visualize the graphical representation of the design matrix to check the experimental design setup. The image shows how each condition (stimulus) is modeled across the time series. The ```\"X\"``` files contain important information about how the stimuli, motion parameters, and other regressors are combined into the matrix for the GLM analysis.\n", "\n", "In this case, the design matrix includes the following regressors in order:\n", "\n", "- The first 6 regressors (```Run#1Pol#0``` to ```Run#2Pol#2```) are drift (polynomial) terms used to model low-frequency signal fluctuations separately for each run.\n", "\n", "- The next 2 regressors (```congruent#0``` and ```incongruent#0```) correspond to the task-related conditions and model stimulus events across both runs.\n", "\n", "- The final 6 regressors (```mot_demean[0]#0``` to ```mot_demean[5]#0```) represent motion parameters for the entire session, capturing estimated head movement in 3 translational and 3 rotational directions." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "image/jpeg": "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", "text/plain": [ "" ] }, "metadata": { "image/jpeg": { "width": 700 } }, "output_type": "display_data" } ], "source": [ "display(Image(filename='./afni_pro_glm/sub_08.results/X.jpg', width=700))" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "To view the names of the individual regressors in the design matrix, you can run the following command. This will list the labels in the same order they appear in the matrix, helping you verify which columns correspond to drift terms, task conditions, and motion parameters." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/opt/afni-latest/afnipy/lib_afni1D.py:1302: SyntaxWarning: 'str' object is not callable; perhaps you missed a comma?\n", " print('** uncensor from vec: nt = %d, but nocen len = %d' \\\n", "++ labels are: ['Run#1Pol#0', 'Run#1Pol#1', 'Run#1Pol#2', 'Run#2Pol#0', 'Run#2Pol#1', 'Run#2Pol#2', 'congruent#0', 'incongruent#0', 'mot_demean[0]#0', 'mot_demean[1]#0', 'mot_demean[2]#0', 'mot_demean[3]#0', 'mot_demean[4]#0', 'mot_demean[5]#0']\n" ] } ], "source": [ "!1d_tool.py -infile ./afni_pro_glm/sub_08.results/X.xmat.1D -show_labels" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "In addition to this, you’ll also see a visualization of the design matrix using the file ```X.xmat.1D``` below. This provides another way to examine the structure of the GLM model, showing when each regressor is active across the time series. Make sure the design matrix looks reasonable." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABKUAAAROCAYAAAAFPoEKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd5grZ333/8+obu+n9+NjGxsbG0iMeSimBQcDIcQkIRSbGEInTx5aIIANgZgSA+EXUokxBJ6ACQmQkGIewLSAKQYbd/v0urtne1ed3x+3RmVXbbSjkVZ6v65L1+5qd0ej3dHons987+9Ytm3bAgAAAAAAAHwUaPQKAAAAAAAAoP0QSgEAAAAAAMB3hFIAAAAAAADwHaEUAAAAAAAAfEcoBQAAAAAAAN8RSgEAAAAAAMB3hFIAAAAAAADwHaEUAAAAAAAAfEcoBQAAAAAAAN8RSgEAAE8cPXpUlmXpFa94RaNXZcP6zGc+I8uy9JnPfKbRqwIAAFB3hFIAgLZ13XXXybIsDQ8PKxaLlfy5pz3tabIsq+TtL/7iL7I/+973vjd7/xe+8IWiy3vta18ry7L0ne98p+B+y7L0qEc9qqp1dwKg/FtXV5e2b9+uZz7zmbr++ut16NChqpbVyvL/d1//+tdL/twTnvCE7M+t/r+48Z3vfEeWZem9731vzcvw2/z8vPbu3auOjg7df//9RX/mwx/+sCzL0qte9Sqf166+9u7dq71797r+ve9973t661vfqqc//enq7++vGMbm7xcsy1IwGNTAwIDOO+88/fZv/7ZuueUWLS4u1v5EAADYoEKNXgEAABphfn5eX/rSl2RZlqampvTVr35Vv/u7v1v2d97ylreop6dnzf2XX3550Z9/97vfrRe96EUKh8OerHMx55xzjl72spdJkmKxmMbHx/WTn/xE73//+3XjjTfq7W9/u/7sz/5MlmXVbR0cO3bs0AMPPKD+/v66P5ZboVBIn/70p/W85z1vzffuu+8+/eQnP1EoFFIymWzA2uW88IUv1OWXX65t27b59pi9vb369Kc/rWc961m69tpr9aMf/UihUG6IeM899+j666/Xnj179PGPf9y39Wpmn/70p/XZz35WXV1d2r17t+bm5qr6vauvvloXXXSRJGlubk5Hjx7Vd77zHX35y1/W9ddfr8997nN62tOeVsc1BwCguRBKAQDa0q233qrFxUW9+c1v1l/8xV/o5ptvrhhKvfWtb9XWrVurWv4555yjQ4cO6W//9m/1pje9yYtVLurAgQNFq3J+8IMf6OUvf7k++MEPKhgM6v3vf3/d1sERDoerrvTy23Oe8xx9/etf19mzZ7Vp06aC7918880KBAK68sor9R//8R8NWkOjv7+/IaHeM57xDL3hDW/QJz/5Sd144426/vrrJUmJRELXXHONEomEbrnlFvX29vq+bs3ojW98o972trfpUY96lH7605/qiU98YlW/96IXvUgvfvGLC+6LxWL6i7/4C/3Jn/yJnve85+mHP/yhHvOYx9RjtQEAaDpM3wMAtKWbb75ZoVBIb3/72/X0pz9d3/rWt3Ts2DHPlv+Wt7xFg4OD+sAHPqD5+XnPllutJz/5yfrv//5vRaNRfeQjH9GJEyfW/MzXvvY1PfOZz9Tg4KA6Ojp00UUX6aabblIqlSr4uXQ6rX/4h3/QZZddpqGhIXV2dmrnzp16/vOfXzDVrVxPqV/+8pe66qqr1Nvbq/7+fl111VW699579YpXvEKWZeno0aPZn83vq/SNb3xD/+t//S91dXVpeHhY1157rSYnJ13/Pa677jolEgl97nOfK7g/kUjo85//vJ797Gdr586dRX/305/+tF7wghdkp7gNDQ3pyiuv1O23317wc+9973v19Kc/XZL0vve9r2C6lvP8nOd7+PBhffSjH9WFF16oaDSa/ZsV6yn1oQ99SJZl6bWvfe2adXO+97rXvc7132S1D3/4wzpw4IA+8IEP6K677pIk/emf/qnuuusuvelNb8o+t0qc6akf+tCHSn7vwx/+cPa+/L/JTTfdpPPOO0+dnZ268MIL9cUvflGSFI/H9a53vSv7P3jMYx6j//qv/1qz/DvvvFNvfOMbddFFF6m/v1+dnZ26+OKL9aEPfUiJRCL7c862euzYMR07dqzgf1XN1Mtf+ZVf0aMf/WgFg8Gq/iblRKNR/fEf/7Guv/56LS4u6h3veMe6lwkAwEZBKAUAaDv333+/7rjjDj372c/Wli1bdM011yidTuuWW27x7DEGBwf1jne8Q+Pj47rppps8W64b559/vn7nd35H8XhcX/3qVwu+9853vlO/+Zu/qYceeki/9Vu/pde//vXq7OzU2972tjWVHO985zv1B3/wB5qamtJLXvIS/dEf/ZGe8Yxn6L777tM3v/nNiutx991368lPfrJuu+02/fqv/7re8IY3KJlM6slPfrKOHDlS8vf+7d/+Tc9//vO1fft2vf71r9c555yjf/zHf9QLXvAC13+Lyy+/XBdeeOGa//G///u/6+zZs7ruuutK/u4b3vAGjY2N6VnPepb+z//5P3re856nH/3oR3rWs56lr33ta9mfe9rTnqZrr71WknTFFVfohhtuyN4GBgYKlvmmN71JN954o37lV35Ff/RHf6SLL7645OO//e1v1zOe8Qz93d/9XcH/8Sc/+Ymuv/56XXjhhfrYxz5W8DtOwOJGV1eXPvOZzyiVSumaa67RD37wA33wgx/U+eefXzRgKuXjH/+4LrjgAl1//fX66U9/mr3/K1/5iv7u7/5Oz3jGM/S2t71tze+9+c1v1kc/+lE97WlP0yte8QqdOXNGL3nJS3Tbbbfpt37rt/SFL3xBz33uc/XSl75UjzzyiF7wghes6Zv2qU99Sl/5yld08cUX6zWveY1e+cpXyrZtvfOd7yzYrgcGBnTDDTdkK9Py/1eNmj73lre8RV1dXbrttts0OzvbkHUAAMB3NgAAbebNb36zLcn+whe+YNu2bc/Pz9vd3d327t277VQqtebnr7jiCluS/Za3vMW+4YYbCm5/8zd/U/CzN9xwQ3bZy8vL9q5du+zu7m57dHQ0+zOvec1rbEn27bffXvC7kuzzzz+/qudw5MgRW5J95ZVXlv25m2++2ZZkv/zlL8/e941vfCP7uwsLC9n70+m0/drXvtaWZH/5y1/O3j80NGRv377dXlxcXLP8ycnJNet07bXXFvzMk5/8ZFuS/X//7/8tuP8973mPLcmWZB85ciR7/y233GJLskOhkP2DH/wge38ymbSf9rSn2ZLsH/3oR2Wft8P53505c8a+6aabbEn2T37yk+z3r7rqKnt4eNiOxWIl/y+HDx9es9zTp0/b27dvt88999yC+2+//XZbkn3DDTcUXZ9rr73WlmTv3LnTPnbs2JrvO8/9lltuKbj/5MmT9vDwsD00NGSfPHnSnpubs8855xw7Go3ad99995rlOH/XWrz1rW+1JdnRaNQOBoP2HXfc4XoZd911lx2NRu1zzjnHnp+ft0+cOGEPDQ3Zw8PD9qlTpwp+1vmbnHfeefb4+Hj2/h//+Me2JHtgYMB+8pOfXLCt3nrrrbYk+01velPBso4dO2Ynk8mC+9LptH3dddfZkgq2J9u27T179th79uxx/fzy/ehHPyq63efL3y+U85SnPMWWZH/rW99a1zoBALBRUCkFAGgrzhSuvr4+/eZv/qYkqaenRy984Qt1/PjxspU/H/3oR/W+972v4Pa3f/u3JX++o6ND73vf+7S4uKj3ve99Xj+Vqmzfvl2SNDExkb3vk5/8pCTp7//+79Xd3Z2935lyVezKgZFIpOhUpaGhobKPf+zYMf3gBz/QJZdcope85CUF3/vjP/5jDQ4Olvzdl7zkJXrSk56U/ToYDGYrkfIrcKr18pe/XOFwWJ/+9KclSadPn9Ztt92ml73sZYpEIiV/b9++fWvu27Ztm66++mo98sgjNU37fNvb3qbdu3dX/fM7duzQzTffrKmpKb3sZS/T61//eh06dEgf+chHivYfeuCBB/TAAw+4Xi9Juv7669XZ2alYLKbXve51esITnuB6GZdccok+/OEP69ChQ3rd616nl7/85ZqamtKnP/3p7Da52rve9a6Cfl+XXXaZ9u/fr5mZGf3Zn/1ZwbZ69dVXKxwO6+677y5Yxu7du9dsp5Zl6Q1veIMkVVXZ10jFXq8AALQyGp0DANrK1772NZ09e1avfOUr1dHRkb3/mmuu0ec//3ndfPPNevazn130d8+cOVN1o3PHtddeq49+9KP61Kc+pTe/+c06cODAutbfC3fccYe6u7uz4cxqnZ2devDBB7Nfv/jFL9Zf//Vf66KLLtKLX/xiPf3pT9cTn/hEdXZ2VnwsJzTID5cc3d3duvTSS9f0ZnI8/vGPX3Of0/dpZmam4mOvtnnzZj33uc/VF7/4RX384x/XZz/7WaVSqbJT9yTp8OHD+uAHP6hvf/vbOnXqlGKxWMH3T58+rT179rhal8suu8z1+r/gBS/Qa1/72mwQetVVV+kP//APi/7sehrO33TTTVpeXpYk/fd//7eWlpbU1dXlejl/+Id/qNtuu02f//znJUmve93r9Bu/8Rslf/7SSy9dc9+2bdt0+PDhNd8LBoPavHmzTp8+XXB/PB7XJz/5SX3xi1/Ugw8+qIWFBdm2nf3+6p8HAACNRSgFAGgrN998syQTQuV75jOfqR07duhrX/uapqamKlYAVSsQCOiDH/ygfuM3fkN/8id/oi996UueLLdazkF4fgXK1NSUkslk2eqtxcXF7Oef+MQntG/fPt1yyy36wAc+oA984APq6OjQ7/zO7+ijH/2oRkZGSi5nbm5OkgmEitmyZUvJ3+3r61tzXyhkhi6rm7FX67rrrtNXv/pV/cu//ItuueUWPf7xjy97pbODBw/qsssu09zcnJ7+9Kfr+c9/vvr6+hQIBPSd73xH3/3ud9eEVNUo97zLeeELX5gNpd74xjfWtIxy7rzzTt144406//zz9fznP1833XST3vnOd+oTn/iE62VZlqXf/M3fzDYkr3QVynL/71Lfy29eLpmr2/37v/+7zjvvPP3u7/6uNm/erHA4rJmZGX3iE5+o6X/lp2KvVwAAWhmhFACgbZw4cULf+MY3JJlG1KV8/vOfL1mBUovnP//5espTnqJ//ud/rmna2Xo4V8f71V/91ex9fX19siyr6ilCoVBIb33rW/XWt75Vp0+f1ne/+13dcsst+sd//EeNjo7qtttuK/m7TpgwPj5e9PtjY2NVPhNvXHXVVdq2bZv++I//WKdOndJf//Vfl/35j3/845qentbnPvc5vexlLyv43mtf+1p997vfrWk93DYhl0x12B/8wR+ou7tbqVRKb3rTm/SLX/xCvb29Na3DarFYTNdcc41s29ZnP/tZPe5xj9M3vvEN/eVf/qWuvvpqPfWpT3W1vCNHjuhtb3ubhoaGND09rVe96lX63ve+58kV64r56U9/qn//93/XlVdeqf/4j/8oeJw77rijpmDNTwsLC7rzzjsVDAb1uMc9rtGrAwCAL+gpBQBoG5/5zGeUTqf15Cc/Wa985SvX3Jx+RU41lZc+8pGPSDJ9lPzy8MMP60tf+pKi0ahe+MIXZu9/whOeoMnJST3yyCOul7l9+3b93u/9nv77v/9bBw4c0De/+c3sVK9iLrnkEknSD3/4wzXfW1paWtMTqN6CwaCuueYanTp1Sh0dHfq93/u9sj/vXN1t9RX/bNvW//zP/xRdvlR7JVc5r371q3X8+HF94hOf0J//+Z/r0KFD2V5JXnj3u9+t+++/X29/+9v1hCc8QeFwWJ/97GcVCoV03XXXaWlpqeplJZNJvfSlL9X8/LxuvfVWvfnNb9YPf/jDuvZWc/5Xz33uc9cEX9///veL/k4wGKzL/6oWH/3oR7W0tKTnPOc56u/vb/TqAADgC0IpAEBbsG1bt9xyiyzL0mc/+1n9wz/8w5rbZz7zGT3xiU/UL3/5S/3sZz/z9PEvv/xyvfCFL9Ttt9/uS7Pl//mf/9GVV16pWCymd7zjHdqxY0f2e04V2HXXXafJyck1vzs6Opptkh2LxYoGSouLi1pYWFA4HFYgUHo4sWfPHj3pSU/SXXfdpVtvvbXge3/+53+uqampmp7ferz5zW/WV77yFd12220aGBgo+7NOr6gf/OAHBfd/6EMf0r333rvm551pnydOnPBmZTNuvvlm/fM//7N++7d/W6985Sv1xje+Uc973vP0uc99Tv/0T/+05ucffPDBgr5glfzP//yPPvaxj+niiy/We9/73uz9l156qd71rnfp0KFDRQPVUo/zvve9Tz/60Y/0lre8Rc961rN044036nGPe5xuvPHGkgHRepX6X91333364Ac/WPR3hoaGNDExoZWVlaLfP3TokB588ME10wS9FIvF9JGPfER/+qd/qp6enpLrCgBAK2L6HgCgLXz729/WkSNHdMUVV2j//v0lf+73f//39aMf/Ug333yzfuVXfsXTdfjgBz+of/u3f8tWdHjh4MGD2RAhHo9rfHxcP/nJT3TPPfcoGAzq3e9+t2644YaC3/n1X/91vec979H73/9+HThwQL/+67+uPXv2aHJyUgcPHtT3v/99feADH9AFF1yg5eVlPelJT9J5552nxz/+8dq9e7cWFhb09a9/XaOjo3rrW9+qaDRadh3/8i//Uk996lP10pe+VP/yL/+iAwcO6Oc//7nuuOMOPfWpT9X3vve9ssGW1zZv3py98mIlr33ta3XLLbfo6quv1u/8zu9oeHhYd9xxh37+85/ruc99rv7jP/6j4Ocf9ahHafv27friF7+oaDSqnTt3yrIsvelNb6q5+uXhhx/W//7f/1u7du3S3//932fv//SnP63HPOYxet3rXqcnPvGJBVcJvOCCCySpoMl3KYuLi3rFK16hYDCoz372s2uuRPiud71LX/va1/RXf/VXetGLXlQw9bXY43zve9/LhlB/9md/JslcvfGf/umf9PjHP14ve9nLdPfdd1cMBN267LLLdNlll+lLX/qSzpw5o8svv1zHjx/Xv/3bv+m5z32uvvzlL6/5nWc84xn62c9+puc85zl6ylOeokgkoqc+9anZqYrPfOYzdezYMR05ckR79+7N/t4PfvAD/cM//IMk6ezZs9n7XvGKV0iSRkZGdNNNN615vC9/+cvZEG9hYUFHjhzR9773PU1MTGjXrl36/Oc/r4suusjLPwsAAM3NBgCgDfze7/2eLcm+5ZZbyv7c7Oys3dnZaff399tLS0u2bdv2FVdcYUuyz5w5U/FxbrjhBluS/YUvfKHo91/96lfbkmxJ9u23317wPUn2+eefX9XzOXLkSHY5zq2zs9Petm2b/fSnP91+z3veYx88eLDsMv7f//t/9vOf/3x706ZNdjgctrdu3Wo/8YlPtN///vfbx48ft23btuPxuP3hD3/Yfvazn23v3LnTjkQi9pYtW+ynPvWp9j/90z/Z6XR6zTpde+21ax7rF7/4hX3llVfaPT09dm9vr/2c5zzHvueee+znPe95tiR7eno6+7O33HJLyf/V7bffbkuyb7jhhqr+Tm7+d695zWuK/l9uv/12+0lPepLd29trDwwM2FdddZV95513Zv/Xq3/+jjvusK+44gq7t7c3+785cuSIbdu2fe211xZ8vdrq5x6LxezHPe5xdiAQsL/73e+u+flvfOMbtmVZ9uWXX24nEons/c7jVuP1r3+9Lcl+3/veV/JnfvnLX9qRSMTet2+fvbCwUPJxpqam7F27dtnd3d32Qw89tGY5n/rUp2xJ9ote9KLsfeX+Js7/r5g9e/bYe/bsKbhvfHzcvu666+zt27fbHR0d9sUXX2z/1V/9lX348OGi2+b8/Lz9B3/wB/a2bdvsYDC4Ztvas2dP0XVz/k+lbqvXy9lWnFsgELD7+vrsAwcO2C960YvsW265xV5cXCz6PAEAaGWWbVdxCg0AAMBjqVRK55xzjpaXl31veA4AAIDGo6cUAACoq2QyWfRKfx/60Id07NixqqfSAQAAoLVQKQUAAOpqZmZGW7Zs0a/92q/pvPPOUyKR0I9//GP99Kc/1bZt23TnnXdq27ZtjV5NAAAA+IxQCgAA1FU8Htcf/dEf6dvf/rZOnz6tlZUVbdu2Tc95znP0nve8p+DKgAAAAGgfhFIAAAAAAADwHT2lAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA70KNXoFW9/Pj07r20z9p9GoAAIAmsX+kW1989RPVGQk2elUAAAAailCqztJpW/MryUavBgAAaBJ3n5zVL0/O6An7hxu9KgAAAA1FKFVnF+3o1+1vfVqjVwMAADSBN/7Tz3Xf6TlNLyUavSoAAAANRyhVZx3hoPaNdDd6NQAAQBPY2teRCaXijV4VAACAhqPROQAAgE8GuyOSRCgFAAAgQikAAADfDDmh1CKhFAAAAKEUAACATwa7TCg1tUhPKQAAAEIpAAAAnwx1hyUxfQ8AAEAilAIAAPDNQLZSilAKAACAUAoAAMAnQzQ6BwAAyCKUAgAA8InTU4pG5wAAAIRSAAAAvnEqpeZWkkqk0g1eGwAAgMYilAIAAPBJf2dYlmU+n1niCnwAAKC9EUoBAAD4JBiw1N/JFfgAAAAkQikAAABfDXEFPgAAAEnrDKX+8A//UHv37pVlWbrrrrs8WiUAAIDWNZjpKzVDpRQAAGhz6wqlXvSiF+kHP/iB9uzZ49X6AAAAtLTBbKUUPaUAAEB7C63nl5/61Kd6tR4AAABtYaibnlIAAAASPaUAAAB8NUhPKQAAAEmEUgAAAL5yekpNE0oBAIA2RygFAADgI+fqe0zfAwAA7Y5QCgAAwEdOpdTUEo3OAQBAe1tXKPWa17xGO3fu1MmTJ3XllVfqwIEDXq0XAABAS8o2Omf6HgAAaHPruvre3/3d33m1HgAAAG1hoIueUgAAABLT9wAAAHzl9JSajyUVT6YbvDYAAACNQygFAADgo77OsAKW+XyGZucAAKCNEUoBAAD4KBiwclP4aHYOAADaGKEUAACAzwa7TLPzKfpKAQCANkYoBQAA4LOhbqdSilAKAAC0L0IpAAAAnznT96iUAgAA7YxQCgAAwGfOFfimCaUAAEAbI5QCAADw2WA3jc4BAAAIpQAAAHw21G0andNTCgAAtDNCKQAAAJ8N0lMKAACAUAoAAMBvTihFpRQAAGhnhFIAAAA+c3pKUSkFAADaGaEUAACAz4YyodQMjc4BAEAbI5QCAADw2VBm+t5CLKlYMtXgtQEAAGgMQikAAACf9XaEFAxYkqiWAgAA7YtQCgAAwGeBgKWBzrAk+koBAID2RSgFAADQAE6z82lCKQAA0KYIpQAAABrA6Ss1tUQoBQAA2hOhFAAAQAMMdpvpe9P0lAIAAG2KUAoAAKABhpi+BwAA2hyhFAAAQAMMOtP3CKUAAECbIpQCAABoACeUmqanFAAAaFOhRq8AAABAO3KuvveN+8b09Ju+09iVAQAATeH/vuoJ2j7Q2ejV8A2hFAAAQANcsK1XkrScSOnIxGKD1wYAADSDVNpu9Cr4yrJtu+mesW3bmp+fb/RqAAAA1NWJqSWdnV9p9GoAAIAmceH2fnWEg41eDc/09vbKsqyS32/KSqn5+Xn19/c3ejUAAAAAAABQo9nZWfX19ZX8PpVSPpibm9OuXbt04sSJsv8MoJmxHaNVsC2jFbAdoxWwHaNVsC2jFdRrO96QlVKWZbXki7mvr68lnxfaC9sxWgXbMloB2zFaAdsxWgXbMlqB39txwLdHAgAAAAAAADIIpQAAAAAAAOA7QikfRKNR3XDDDYpGo41eFaBmbMdoFWzLaAVsx2gFbMdoFWzLaAWN2o6bstE5AAAAAAAAWhuVUgAAAAAAAPAdoRQAAAAAAAB8RygFAAAAAAAA3xFKAQAAAAAAwHeEUgAAAAAAAPAdoRQAAAAAAAB8RygFAAAAAAAA3xFKAQAAAAAAwHeEUgAAAAAAAPAdoRQAAAAAAAB8RygFAAAAAAAA3xFKAQAAAAAAwHeEUgAAAAAAAPAdoRQAAAAAAAB8F2r0CgAAALQq27aVSNmKJdLZWzQc0EhfpNGrBgAA0HCEUgAAAC7Ytq140gRNK4lUNmxayQue8m9pe+0ynnXJsHo7GYYBAID2xmgIAAC0vXTaViyZLhsw5d/nVihoKRoOKJZIK5myNbuYJJQCAABtj9EQAABoSam0rZW4EySlsqHTSiKtmHN/0nydSBYpZ6ogEjJBk3PrCAcUDQcVDVuZj859AQUDliTp54fndGx8WfPLSa+fLgAAwIZDKAUAADYE27aVTNlVVTLFkqYiyQ1LUiQvSFobOOXdQgEFMkGTG70dQUnS/AqhFAAAAKEUAABomPz+TGvDpbX9mor1ZyonYKlswNSRqWiKhgOKhCxZlvugyY2ezJS9heVUXR8HAABgIyCUAgAAnkrbtuJFqpeKNgJPpmW7DJqCAau6aqZwQOFg/YMmN3o7TaXUwkpStm031boBAAD4jVAKAABUlEqXqmZyKprs7JXo4jX0ZwoHrbLhUq5fU0Ch4MYNcrqiQVmWlEpLy/G0uqLBRq8SAABAwxBKAQDQppKpKnozZW4Jl/2ZJGV7L5WrZnK+rqU/00YUsCz1dAQ1v5zS/HKSUAoAALQ1QikAAFqEbdtKpOyS4dLq6qZU2t3yrUx/po7VYVOkyH3hAFPTSujpCGl+OaWF5ZS2DDR6bQAAABqHUAoAgCbmNAJfKdL0u1jg5L4/k9MIPFi0mqkjHMheka7Z+jNtVL2dQZ2Z5gp8AAAAhFIAAPgsnbYVS2bCpHhhsBRPrg2d3Apl+jOVmiqXfwsFCJr81ssV+AAAACQRSgEA4Ilkyi6YGleumqmW/kyR0OpG4MGSgVOwTfozbVQ9HWb4Nb9MpRQAAGhvhFIAABRh27aSKbvqRuDJtLugyZLWVC2Vqm6KhAMKUM3UMno6TXPzlURaiWRa4VCgwWsEAADQGIRSAIC24fRnyoVLKcUStmKZfk2rwyaXOZMCeY3AIwUBU3BN2BQJMW2uXUUyDeFjibQWVlIa7CGUAgAA7anmUGplZUUvfvGLdf/996uzs1ObN2/W3/zN3+jAgQNerh8AAGWlbVvxileay/RrSqTlduJcKGBVrGZy7gvRCBxV6u0IKpZIa345qcGecKNXBwAAoCHWVSn16le/Ws95znNkWZY++clP6lWvepW+853veLRqAIB2lUrbZabKFfZriifd92cKl2gEXqxfUyhIyATv9XSGNDGf0MIKzc4BAED7qjmU6ujo0FVXXZX9+vLLL9dNN93kyUoBAFqLbdtKpu2KvZmcr5M1NAIvWskUyrsvkrsvQCNwNFhvpq8Uzc4BAEA786yn1Cc+8Qm94AUv8GpxAIAmZ9u2Ek4j8HhaseTqcKmwX1Mq7W75lqUylUz5Xwfpz4QNx7kC38IylVIAAKB9eRJK3XjjjTp48KC+9a1vebE4AECD2PaqaqZkOhc6rb4vkZbtsqApGFDB1LiOMmFTmP5MaGG9nZlQaiUp27bZ1gEAQFtadyh100036V//9V/1zW9+U11dXV6sEwDAQ+nMtLlKjcCdSie3nP5M1TUC5ypjgCR1RQMKWFLalpZiKXV3cEFkAADQftY1AvrYxz6mL3zhC/rmN7+pgYEBj1YJAFBJMmUXbfpdLHBK1NCfKRKyslPjKgVOQfozAa5ZlqWezpDmlpKaXyaUAgAA7cmybbeTL4yTJ09q165d2r9/v3p7eyVJ0WhUP/7xjz1dQQBoB05/pkqNwJ37Uml3u25LqqI3k/kYCQcUYCoRUHc/eXhGp6ZiumhPj87d1t3o1QEAAPBdzafldu7cqRrzLABoC7ZtK56088KkVNmwyWXOpEDRRuDBolPnaAQONJ+ezpCkmMZn4uoMBxu9OgAAoAlsHYy0VcsLasUBwIV02i64yly5aqZ4Ii230X0ovz9TaFU1U6TwvhCNwIENrbfTBFHjs3GNz8YbvDYAAKAZPPvSEYXa6FwVoRSAtpda0wg8pVjCLtqvKZ50XyEaDlklp8plr0QXCqgjQn8moJ1sG4xq53CHVhKpRq8KAABoEm1UJCVpHT2lAKBZ2batZNourGSKpwsqnPLDpmQNjcArXWUuv9opQNAEAAAAAGtQKQVgQ8j2Z0pmAqb8cCmZqW5y7k+mlUq7W37AqqYReJD+TAAAAADgEUIpAA1j23bJ3kxOT6bsfcm03NZ1BgNm2lxkVcBUrLopTH8mAAAAAPAVoRQAT6XSdtGm32vvS9XWnym/EXjZ6XNBhYKETAAAAADQrAilAFSUTBVv+l0scErU0J8pErKyU+MqBU40AgcAAACA1kAoBbQh27aVSJWeOrf661TaXdBkWVI0VF0j8Eg4oADT5gAAAACg7RBKAS0i2wg8MzWu0vQ5lzmTggFlryYXjZjpcdlwKRNARSMmcKI/EwAAAACgEkIpoIml05mrzZXtzZT73K1QXn+m1Y3AVzcHDwUImgAAAAAA3iGUAnyWSttaieeuKBfLVDWtJNKKxdPZEGolkVaihkbgkVCxRuDBotPn6M8EAAAAAGgUQilgnWzbzjQCzwRLyUy4tLqSKRM2JV02ArekNVVLJRuBhwIKEDQBAAAAADYAQimgiPz+TGunyq3t1+S2P1PAUtlwKf9KdJEQ0+YAAAAAAK2HUAptI23bildxpTmnqsl2GTSFAlblSqbMfSEagQMAAAAA2hyhFDa0VNouHy7lXYkuXkN/pnCJRuDF+jWFgoRMAAAAAABUi1AKTSeZqnyVOeeWcNmfSdKaHkzFp8+Zj/RnAgAAAACgPgilUHe2bSuRKl3RVBg2pZRKu1u+lenP1LE6bIoUuS8cYNocAAAAAABNgFAKNXEaga8Uafq9upopVkMj8GDAqWgKlq1kioYDCtOfCQAAAACADYdQClnptK1YMhMuxXMNv0sFTm6Fg5YiqwKl0o3AA3V4hgAAAAAAoFkQSrW4ZMG0uVQuWEqmFYsXhk219GeKhFY3Ag+WrGgK0p8JAAAAAABkEEptMLZtK5myq24EnnQ5b86S1lQulZo+FwkHFGDaHAAAAAAAqAGhVBNw+jOtDZhS2c/jeaGT2/5MgWKNwDNVTavvi4TozwQAAAAAAOqPUKrO4sm0phcS5RuBJ9OyXQZNoaCVvZpcud5M0XBAIRqBAwAAAACAJkMoVWcziwn98MGZqn42HLJMkOSETZG8sClU2K8pFCRkAgAAAAAAGxehVJ11RoLq6woVr2YKBdQRyX0eoBE4AAAAAABoE5Ztu504Vn+2bWt+fr7RqwEAAAAAAIAa9fb2lm0n1JSVUvPz8+rv72/0agAAAAAAAKBGs7Oz6uvrK/l9KqV8MDc3p127dunEiRNl/xlAM2M7RqtgW0YrYDtGK2A7RqtgW0YrqNd2vCErpSzLaskXc19fX0s+L7QXtmO0CrZltAK2Y7QCtmO0CrZltAK/t+OAb48EAAAAAAAAZBBKAQAAAAAAwHeEUj6IRqO64YYbFI1GG70qQM3YjtEq2JbRCtiO0QrYjtEq2JbRChq1HTdlo3MAAAAAAAC0NiqlAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKT+kU41eAwAAAAAAgKYSavQKtLzEkvQ/N0nD50lbH2M+BvizAwDQVtJJafJhafSXkhWQLrxaCgQbvVYAAAANRTpSbxMPSsllaexucwt1SJsvkrZcIg3tNwNTAADQeuy0NH3UvP+P3yMllnPf2/Er0uD+hq0aAABAM7Bs27YbvRItzbaluZPS6N3S2C+l+Hzue5EeacvFJqDq3y1ZVuPWEwAArJ9tS7PHzXv+2D2r3vd7JdlSfEF69G9L2x7XsNUEAABoBoRSfip3xrRjwIRTWy+RerYSUAEAsFHYtjR/OlMVfY+0MpP7XqhT2vxo8/4+uF+6/1+lM3dK5zxb2vf0hq0yAABAMyCUapR0Upo6aCqozt4vpeK573VvlrY8xgxgu0Yat44AAKA425YWx0yPqLG7peWp3PeCUWnThaaX5NCBwl6Sh/6fdOTb0o7LpAte6P96AwAANBF6SjVKICSNPMrcUnFp4iETUE0+JC2OS4e/aW6926XNF0tbLiKgAgCg0RbPZqbm/dK8XzsCYWnTo0zV8/B5UjBc/Pc7BszH/GoqAACANkUo1QyCkUxvqYul5Io0fr856zp10EwHmD8tHbrNTOvbfJG59Wxp9FoDANAeFsel8fvM1LyFM7n7raA0cr6pbh55lBSKVl5WNpSarcuqAgAAbCSEUs0m1CFtf5y5xReksw+Y/lNTh6SFUXM7/E2pa5Opntp8MT2oAADwkm1L82eks/eaMCq/IsoKmCl5Wy6RNl9o3rfdyIZS0+ZxeP8GAABtjJ5SG0ViKRNQ3StNPiLZqdz3OodyU/x6dzDABQDALTstzZ4wIdTZe6Xl6dz3rKA0dI6pVN50oRTprv1xUnHp9hvM51dcL4U717feAAAAGxih1EaUXMkLqB42TdMdHQO5KX79u8wZXQAAsFY6Jc0cNe+n4/dJ8fnc9wJh0xtq86PN1Dwvw6PvfkBKLEpP+EOpd5t3ywUAANhgCKU2umTMNEcfu1eaeFBKJ3Lfi/RIIxdImy4wUw1KNV0FAKBdOFe/HbtXmnjAVCI7glHTrHzzRZlm5ZH6rMOP/9L0i7zkGvMeDQAA0KboKbXRhaKmweqWx5gpAZOPmB5UZx80PalO/9TcAmFp+Fwz+B15lAmsAABoB/EFc5Xbsw9IU4+Y90tHuMtMydt8kZmiF/BhaNQxYEIprsAHAADaHKFUKwlGzDSDzY82Z4Knj5gB+Nn7pdis+Xj2fkmW1L/bDMI3XSB1b2r0mgMA4B3bNs3JJx4074OzxyXlFYZH+6RNmffLgb1SIOjv+nEFPgAAAElM32sPzlWEJu43g/P504Xf79pkwqlNF9KHCgCwMTn9oc4+YKblLU8Vfr93u6kU3nSh6ePUyPe6Y9+XHvlPcwW/i1/cuPUAAABoMCql2oFlSX3bzW3/s8x0gbMPmNv0YWnprHTsrHTse1K4Wxo539yGzuWqQACA5pVYNn0Vzz5gLvyRXMl9z7linjNt3alOagbZSqmZRq4FAABAw60rlHr2s5+t0dFRBQIB9fb26v/7//4/Pfaxj/Vq3VAvHQPSrieaW3JFmnjYVFFNPGSuBnTm5+ZmBcw0v+HzTEjVs80EXAAANIJtSwujJoCafNhURtnp3PfD3ZlqqMwFPkLRhq1qWR395iOhFAAAaHPrmr43MzOjgYEBSdJXvvIVvfe979Xdd9/t1brBb87Uh8mHTEC1OF74/UivCaeGz5eGD0ihjoasJgCgjSSWzdXynCAqNlf4/e4t5op5IxdsnCnosTnp+x+UZEnPeL//Pa0AAACaxLoqpZxASpJmZ2dlUUWzsQUyUx2GzpHOvUpanjYHABMPmQOC+Lx0+mfmZgWk/j25qX7dW6iiAgCsn502fRCd95+5E4XVUIGwNLhfGjnPnCTpGm7cutYq0mOmF9op897aTFMLAQAAfLTunlLXXHONbr/9dknSf/7nf657hdBEOgelnU8wN+dqfpMPmel+S2elmSPmdvC/pWi/NHyu6UM1dI4U6W702gMANor4ojT1iHl/mXpEii8Ufr97s3mPGT7fXC0vGG7IanrGCpgpfMtTZgofoRQAAGhTnl1977Of/axuvfVWgql2sTSVm+Y3fciEVvl6t5t+HkPnSgN7Nv4BBADAO6mENHtcmjpkQqi5U5LyhiPBiHkPGT7P3DoHG7aqdXPnp8zFRi76XWnrpY1eGwAAgIbwLJSSpM7OTp08eVLDwxuwlB61SyXMwHrqoLktjBZ+PxAyZ7aHDphboy/FDQDwl52W5k9nQqiDpn/h6pMZPdtyIdTAbvPe0cru+5J05hfSgSulvU9r9NoAAAA0RM0jvpmZGS0tLWn79u2SpK9+9asaHh7W0NCQZyuHDSIYzvWWkqTYfC6gmjpoGro6n0tSuCvTu+pcE1K14hlwAGhnti0tTWT2/YfMiYvkcuHPRHoz7wUHzNS8aF9j1rVRogPm48psQ1cDAACgkWoOpWZnZ/Xbv/3bWl5eViAQ0KZNm/T1r3+dZueQor3Stseam22b/lOTmVBq+rCUWJLG7jE3SeocMk1rB/dLg/vorQEAG1H2BMSh3AmJfMGoCaEGMxfU6N7c3hfIcN7rVmYauRYAAAAN5en0PaCidMpcSckJqVZfVUnKhVQD+6Sh/YRUANCMVmbMBTBmjpiPSxOF37eCpqfg0AETQvXuMFd5hTHxkHTXZ6SerdLl/7vRawMAANAQLd6wAU0nEDT9pQb2Suc8S0qumN4i00dMFdX8aXM1ouUp6fTPzO90DOaqqAb3M90PAPxm29LyZGEItabCx5L6tkuDmf6BXOSiPCqlAAAACKXQYKEOaeRR5iZJydiqkOqUtDItnbnT3CQzkB/cJw3sNwc9XSPtPQUEALxmp6XFs2Y/7OyT4/OFP2MFzJVWB/eZytaBvVK4sxFruzE5oVRyxdxCHQ1dHQAAgEYglEJzCUULm6YnY9LssVxINXfSnFU+8wtzk6Rwt9S/2wRUA3vMFBHOzgNA9dJJae6UNHvchFAzR03/v3xWUOrfZQKowX1mvxuKNmJtW0MoKoU6TQP4lVmph1AKAAC0H0IpNLdQNHeJcElKxaWZY7kpJHMnpcSiNPGAuUnmwKlvu9SfCan695jm6wAAIzZn9qWzx81t7pRkpwp/JhDOhP17TQjVt4vA32sdA9LCsjnZ0rOl0WsDAADgO0IpbCzBiLl0+PC55ut00vShmjmWOcA6JsUXpNkT5nb8B+bnOocy1VR7zceeLWbqCQC0unRSmj+TC6BmjxfvY5RfdTq4z0zNCzBMqKuOAWnhDH2lAABA22K0iY0tEDIHUf27pT1PyTTjnTbhlBNSLYzlmqeP3mV+Lxgx0/z6d0p9O00FQMcAvakAbGy2baqg5k7mVUGdNMFUActc9W0gs//s32PCe/aB/uroNx8JpQAAQJuybNu2G70SQF0lVzJ9UvKmqqTia38u3J0JqHbmwqpIj//rCwDVis2bC0LMnTRT8OZOrW1ILpkG5E741L/b7N/oB9V4R78rHfxvafAcadcTG702AACgGQyfa4oo2gShFNqPc1WpuROZaoKT0sLo2n4qktQxWBhS9e7gQA5AY8QXMwGUczspxWbX/pwVkLo356pI+3dzldJmNfpL6d4vNHotAABAM3nS20wFe5sglAIkKZUwfT2ckGrupLR0tsgPWlLXkNSz3fRb6d1mbtE+31cZQAuLL5g+UPNnpPnMPml5usgPWlL3Jqlvh9S7M/NxOw3JN4pkTLr/y2bKJQAAgCQ95qVtdXxJKAWUklzJVCOcyAVVxaoSJDPNr3ebORjsyYRVXcM0UwdQXjolLU2YUHx+NPPxTPEpeJLUOZyZZrwjU725nepNAAAAbFiEUoAbBdULp80B5OJZSUVeRsGIaSTcu13q2Wau+NezRQp1+L7aAJpAYtlMFZ4/nfl4RlocK9KEXJIsU7bduy0vgNphekMBAAAALYJQClivVDx3gDl/2nxcGJXSieI/H+034VT3Fqlnc+bjlrZqZge0tGTMTP9dGDeh0+K42SeUusKaE2D3ZKYD92w1NyqgAAAA0OIIpYB6SKek5clcSOVURJTrG9I5mAuonI9dm+gNAzSr5IoJnBbHCwOoUuGTJHUMZMKnvBCqc4ipvgAAAGhLhFKAnxLLmQPYMXMA63yML5T4BUvqHDDhVNdI5rZJ6h4xze84kAXqy7ZNmLw0IS1N5kKoxfHSPeYk02eue3PebYsJosJd/q07AAAA0OQIpYBmEF8sDKkWxqXFURNilRIIm2bqTlDVNWLCqq5N9J0B3LBtEww7wdNy5qPzdampuJIJhwvCp8wt0u3f+gMAAAAbFKEU0KwKDpQzt8Wz5uPylGSnSv9uuFvqGpI6hsy0wM6hzG3Q9LQKBP17HkAzsNOm4ml52rx+licLg6dUrPTvWgGpYzATAm/KTLHNhE8EwAAAAEDNCKWAjSidklamM0GVE1plAqtyfaukzAF2fyawckKrvOAq3C1Zlj/PA/BKfui0Mp35OJP7emXG/ExJlun3lK0+HM5Nme0YJMgFAAAA6oBQCmg1yVhmCtKUtDKVqQqZzlWIlKuwksy0wI4+KTqQ+dhvQqz8j+Eugiv4x7alxJIJnWKz0krmY34IVTF0UiaQHciresoLnjqHpEDIj2cDAAAAIINQCmgndlqKzWeqrJzQajoXXMXmJFWxSwiE8kKqPnOgH+2TIr1StMc0eY70mkvdE16hnFRCis+bbS8/bMreZs02m05WXlZ+6NQ5aD53qgA7BqVoLxcHAAAAAJoIoRSAnHQyEwzMSCuZcGBlJvNx1gQEJa8UWEQgnAmoekwg4HzuhFZOgBXulkJRAoNWYKdNVVN80WwrzsfEwtr74gvlezmtFu7OhKCZCr5oXyZ8yoRQXJESAAAA2FAIpQC4k04WhlQrs7kAK75gql7iC1Iq7nLBlmkaHe6UQl2Zz7syt1L3dZgb0668l0pIyWVzBUjno/N5wf0red9fNIFTNdV2+QIhE1o6QZPzsaMv7+te/s8AAABAiyGUAlAfyViuGsa5xebzvs773HWAtYoVlEIRKRg1t1Dmlv91wf0RU8UVCJlbMO/zQCj3Pef+Zqu+sW3TGyydMiFhOmk+t5N5XyfN3zUZN9VIqXjmFsvcl/f16u8ll6ubLldOuCtXBRfpkSLdeVVy3YXfC3UwzRMAAABoQ4RSABovncxU2ixlbstScqnyfesNs6plBXJBlWWZr61AJkjJ+7zc/ZIJk2RnPqYzH1ffv+qjncqFTk7YVKlZvXdPXAp3SCGngq3Cx3C3CZzC3VytDgAAAEBFhFIANi47nakGiknJlbwqoJi5L7VS4ut4JuBJ5FUVJQqrjHwLfjxgBTIVXkHJyqv4ylaPRTK3zOfF7g9Fcl87IVMwSgUTAAAAgLohlAKAYux0ibAqnbvJznye/zFV/H5LkqxMyOPmY17g5IRNVt7ngWDzTS8EAAAAgCo0ZShl27bm5+cbvRoAAAAAAACoUW9vr6wysy+a8lJG8/Pz6u/vb/RqAAAAAAAAoEazs7Pq6+sr+X0qpXwwNzenXbt26cSJE2X/GUAzYztGq2BbRitgO0YrYDtGq2BbRiuo13a8ISulLMtqyRdzX19fSz4vtBe2Y7QKtmW0ArZjtAK2Y7QKtmW0Ar+3Y7rjAgAAAAAAwHeEUgAAAAAAAPAdoZQPotGobrjhBkWj0UavClAztmO0CrZltAK2Y7QCtmO0CrZltIJGbcdN2egcAAAAAAAArY1KKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPiOUAoAAAAAAAC+I5QCAAAAAACA7wilAAAAAAAA4DtCKQAAAAAAAPgu1OgVAAAAaFcHpw9qfHm80asBAACaxOM2P04doY5Gr4ZvCKUAAAAa4L7J+/Tir7+40asBAACayH/91n9pZ+/ORq+GbwilAAAAGuCR6UckST3hHu3o2dHgtQEAAM0gHAg3ehV8RSgFAADQALOxWUnSFbuu0Iee8qEGrw0AAID/aHQOAADQANMr05Kkwehgg9cEAACgMQilAAAAGmAmNiNJGogONHQ9AAAAGoVQCgAAoAGcSilCKQAA0K4IpQAAABogWynVMdDQ9QAAAGgUQikAAIAGcEIpekoBAIB2RSgFAADQAFRKAQCAdkcoBQAA4LO0naZSCgAAtD1CKQAAAJ/Nx+eVttOSaHQOAADaF6EUAACAz5wr73WHuxUOhhu8NgAAAI1BKAUAAOCzbD8pqqQAAEAbI5QCAADwGf2kAAAAPAqlbrnlFlmWpa9+9ateLA4AAKClOdP3uPIeAABoZ+sOpY4ePapPfepTuvzyy71YHwAAgJZHpRQAAMA6Q6l0Oq1XvepV+su//EtFo1Gv1gkAAKClTcdMpVR/tL/BawIAANA46wqlPvaxj+lJT3qSHv/4x3u1PgAAAC1vZmVGkjTYQaUUAABoX6Faf/Hee+/Vv/zLv+h73/uel+sDAADQ8rj6HgAAwDpCqe9///s6evSozj33XEnS6OioXv3qV+vMmTN63ete59kKAgAAtJpsTykqpQAAQBurefre6173Op05c0ZHjx7V0aNHdfnll+vv//7vCaQAAAAqyF59j0opAADQxtZ99T0AAAC4w/Q9AACAdUzfW+073/mOV4sCAABoWal0SrOxWUlM3wMAAO2NSikAAAAfzcfnZcuWJPVH+xu8NgAAAI1DKAUAAOCj6ZjpJ9Ub7lU4EG7w2gAAADQOoRQAAICPsv2kOgYauh4AAACNRigFAADgI+fKe4NR+kkBAID2RigFAADgI6dSin5SAACg3RFKAQAA+ChbKcWV9wAAQJsjlAIAAPDRbGxWkjQQHWjsigAAADQYoRQAAICPnKvvUSkFAADaHaEUAACAj2ZWZiRRKQUAAEAoBQAA4COnUopQCgAAtDtCKQAAAB85V98jlAIAAO2OUAoAAMBHTihFTykAANDuCKUAAAB8kkwnNRebk0SlFAAAAKEUAACAT+bic7JlS5L6o/0NXhsAAIDGIpQCAADwiXPlvd5Ir0KBUGNXBgAAoMEIpQAAAHziXHlvMEo/KQAAAEIpAAAAn2SvvNcx0ND1AAAAaAaEUgAAAD5xpu9RKQUAAEAoBQAA4Btn+h5X3gMAACCUAgAA8I1TKUUoBQAAQCgFAADgm2ylFD2lAAAACKUAAAD84jQ6p6cUAACAFGr0CrS6pcSSTsyfaPRqAACAJjC2OCaJSikAAACJUKruHpp+SNf81zWNXg0AANBE6CkFAABAKFV3ISukTZ2bGr0aAACgSezp26OLRi5q9GoAAAA0nGXbtt3olVjNtm3Nz883ejUAAAAAAABQo97eXlmWVfL7TVkpNT8/r/7+/kavBgAAAAAAAGo0Ozurvr6+kt+nUsoHc3Nz2rVrl06cOFH2nwE0M7ZjtAq2ZbQCtmO0ArZjtAq2ZbSCem3HG7JSyrKslnwx9/X1teTzQnthO0arYFtGK2A7RitgO0arYFtGK/B7Ow749kgAAAAAAABABqEUAAAAAAAAfEco5YNoNKobbrhB0Wi00asC1IztGK2CbRmtgO0YrYDtGK2CbRmtoFHbcVM2OgcAAAAAAEBro1IKAAAAAAAAviOUAgAAAAAAgO8IpQAAAAAAAOA7QikAAAAAAAD4jlAKAAAAAAAAviOUAgAAAAAAgO8IpQAAAAAAAOA7QikAAAAAAAD4jlAKAAAAAAAAviOUAgAAAAAAgO8IpQAAAAAAAOA7QikAAAAAAAD4jlAKAAAAAAAAviOUAgAAAAAAgO9CjV4BAAAAAACAVpdeWlJyclLJiQmlJieVnJhUcmpSqYlJc//khHb97d8q2NPT6FX1DaEUAAAAAACAS7ZtKz03p+TklFKTE5nAyYRLqckpJScnlZrI3D85KXt5ueIyUxMThFIAAAAAAADtxk6llJqZUXJiUqmp/JBpbWVTanJSdiLhavlWR4dCw8MKjgwrNDyi0PCQgsOZz0eGFRwertMza06EUgAAAAAAoGXZiYSSU1O5aXNOZVM2XJpQ0qlsmpqS0mlXyw/09GSCphGFhodNuDQ0nA2ZsoHT0LAC3V2yLKtOz3TjIZQCAAAAAAAbSnplxVQzTeamx6Xyp8/lVTOlZmddLz84MJBXzVSksikTQAWHhxWIRuvwDNsDoRQAAAAAAGgo27aVXlzM9WAq6M2UN30uEzSlFxfdPUAwqNCQM1XOqWJygqWhgulzoaEhWSHiEj/wVwYAAAAAAJ6z02mlZmcLK5hKXHUuNTklOxZztXwrEslVMA0N5T7PTpsbzk6rC/b3ywoE6vRMUStCKQAAAAAAUBU7mVRyakqpqanc9LlivZkmJpScnpaSSVfLD3R1re3NlD99bmRYwaEhhUZGFOjpoT/TBkcoBQAAAABAG0vH47lpc8V6M03lGoOnZmYk23a1/EB/f17V0rBC+U3A83ozhYaHFejsrM+TRFMilAIAAAAAoMWkFxer6s2UnJxUen7e3cIDAQUHByv3ZhoZUWhwUFYkUp8niQ2PUAoAAAAAgCZn27bSc3OZoKlMb6ZMZZO9vOzuAcJhEzKV683k3DcwICsYrM8TRVshlAIAAAAAoAHsVEqp6WklJzPT4zJBU64300QucJqakhIJV8u3OjsLK5jyezMNDxVMnwv09dGfCb4jlAIAAAAAwCN2PK6k0wR8alVvpsn8+yaVmp6W0mlXyw/09hbvzZRtAm7uCw0PK9DdXadnCXiDUAoAAAAAgDLSy8u5K8pNTRVOn8u/f3JS6dlZdwu3LAUHBsr3ZsqrbApEo/V5kkADEEoBAAAAANqKbdtKLyxU1ZspNTGh9NKSuwcIBjO9mUby+jENFzYGz1QzBQcHZYU4NEd7WteWv3fvXkWjUXVmLtn4zne+U7/7u7/ryYoBAAAAAFAtO51WanbWVC2V682UueqcHY+7Wr4VieT1YyrSmymvsinY3y8rEKjTMwVax7rj2FtvvVWXXnqpB6sCAAAAAECOnUgoOTVd2JvJCZzyejMlJyeUmpqWUilXyw90d1fVmyk4MqJAdzeNwAGPUSMIAAAAAPBNOhbLVTNlqpayvZlWVTalZmZcLz/Y35+dNle6N5O5L9DR4f0TBFA1y7Ztu9Zf3rt3r/r6+mTbti677DJ96EMf0qZNm7xcPwAAAABAE7NtW+nFpUygNGn6NGWuPldw1blMCJVeWHD3AIGAgkNDZXszBYeGFBoZUWhwUFYkUp8nCsBz6wqljh8/rt27dyuRSOjd73637rnnHv3nf/6nl+sHAAAAAPCZbdtKz84W781UUNlkPtorK+4eIBzOhUxlejOFhocVHBiQFQzW54kCaKh1hVL5zpw5o/POO0/z8/NeLA4AAAAA4CE7lVJqejpXzVSqN1PmqnNKJl0t3+rqUihT0ZS96tzq3kzOtLneXvozAai9p9Ti4qISiYQGBgYkSV/4whf02Mc+1qv1AgAAAABUkI7HM9VKU6aaqURvpuTkpFLT05LLmoRAX59CQ0PlrzqXCaACXV11epYAWlXNodTY2JiuvvpqpVIp2bat/fv36x//8R+9XDcAAAAAaDvppaWCqXEFvZmmpgqahKfn5twt3LIUHBws3pupSGPwAP2ZANSRZ9P3UFzs8GGd/YtPNHo1AABAk4js2aNN/+ePZAUCjV4VAD6xbVvp+fmqejMlJydlLy25e4BQqLCaKf/zvN5MoeFhBQcHZYW4CDuA5sDeqM5SMzOa/8Y3Gr0aAACgifQ8/WnqetzjGr0aANbBTqeVmpmpqjdTamJCdiLhavlWNFq8N1ORq84F+/sJugFsSIRSdRbeuVNbrn9Po1cDAAA0gZlbv6TYQw8pdugQoRTQhOxEQsmp6Uw1U5Grzk3kqplSU1NSOu1q+YHu7rW9mYaGc9VMIyPZZuCB7i4agQNoeYRSdRbevFlDL3lJo1cDAAA0gfiRo4o99JDiR442elWAtpFeWVlVxVS8sik1MaHU7Kzr5QcHBir2ZnL6NwU6OurwDAFg4yKUAgAA8El0/z5JUvzw4QavCbBx2bat9OJiQbPv1OSqwCmvsim9uOjuAYJBBYcGK/dmGh5RaGhQVjhcnycKAG2AUAoAAMAnkX37JUmxI4RSQD47nVZqdraq3kzJyUnZsZir5VvhcLY3U7aCqUhvptDIiIIDA/RnAgCfEEoBAAD4JLLPVEolTpxUOh7nUutoaXYyqdT0dOXeTJMmcFIy6Wr5VldXrmppdW+mbNBk7gv09tKfCQCaEKEUAACAT0KbNynQ3a304qISx48reuBAo1cJcCUdj6+dKre6N9PkhLlvZkaybVfLD/T15QVNJXozjZhpdYGurvo8SQCAbwilAAAAfGJZliL792vlnnsUO3yYUApNIb24WFVvpuTkpNLz8+4WbllmWlx+b6Y1lU2ZwGloSBbVgwDQVgilAAAAfBTZt1cr99yj+OEjjV4VtCjbtpWem8tMm5tQamoqFzRN5IVPmZu9vOzuAcJhEzIV6800PGSmzzlVToODsoLB+jxRAMCGRygFAADgo+h+0+w8foRQCtWzUymlZmbyejMVqWxymoFPTspOJFwt3+roqKo3U2h4WIH+fvozAQA8QSgFAADgo9wV+Ail2p2dSCg5NWWqmcr0ZkpOTSk1NSWl066WH+jpKdmbKRs4DQ8pODyiQHcXQRMAwHeEUgAAAD6K7NsrSYofPizbtgkCWkx6eVnJyalcNdNE8d5MyclJpWdnXS8/ODBQpjdT3rS54WEFotE6PEMAALxDKAUAAOCjyJ49UiCg9MKCUhMTCm3a1OhVQhm2bSu9sFC6N1N+ZdPEhNJLS+4eIBhUcGiwdG+m/MqmoSFZIYbvAIDWwbsaAACAjwLRqMI7dypx/Lhih48QSjWAnU4rNTur1MREroKp4KpzU5lqJhM+2fG4q+VbkUiugsmpZirSmyk4MqJgf7+sQKBOzxQAgOZGKAUAAOCzyL69Shw/rviRw+p+wmWNXp2WYCeT2SbfZXszTUwoOT0tJZOulh/o6lrbmyk/cMq76lygp4dpmQAAVIFQCgAAwGfRffu1+N3vcQW+CtKxWKYfU7neTKayKTUzI9m2q+UH+vvNlLlhp/H3qt5MQ0PZICrQ2VmfJwkAQBsjlAIAAPBZZP8+SVLscHuFUrZtK724lFfFVOKqcxOmSXh6YcHdAwQCCg4OFvZmGhoqnD7nhE9DQ7Iikfo8UQAAUBVCKQAAAJ9F95lQKn74cIPXZP1s21Z6djZ7RbnC3kxrK5vslRV3DxAOKzQ0VL43k3PfwICsYLA+TxQAAHiOUAoAAMBnkf37JUmJ06eVXllRoKOjwWtUyE6llJqezk2by1x1LtubyQmfJk2fJiUSrpZvdXZW1ZspNDysQF8f/ZkAAGhRhFIAAAA+Cw4NKdDfr/TsrOLHjqnj/PPr/ph2PK5kfrhUojdTcnJSqelpKZ12tfxAb2/x3kzDI7nwKVPZFOjurtOzBAAAGwmhFAAAgM8sy1J0714t33234ocP1xxKpZeXC3owlerNlJyaUnp21u1KKjgwULk3UyaICkSjNT0HAADQvgilAAAAGiCyf7+W775bsbwr8Nm2rfT8fFW9mZKTk7KXltw9aDBYcEW5tZVNTr+mIdMIPMRQEQAA1A8jDQAAgAZwrsA3c+uXtPDt27NBlB2Pu1qOFYnk9WPK9GYaKpw+53we7O+XFQjU4+kAAAC4RigFAADQAB0XXChJSo6NKTk2VvC9QHd3Vb2ZgiMjCnR30wgcAABsSJZt23ajVwIAAKDd2Latuf/4T6WXl/Km0pmrzwU6Oxu9egAAAHXXlKGUbduan59v9GoAAAAAAACgRr29vWUrupty+t78/Lz6+/sbvRoAAAAAAACo0ezsrPr6+kp+n0opH8zNzWnXrl06ceJE2X8G0MzYjtEq2JbRCtiO0QrYjtEq2JbRCuq1HW/ISinLslryxdzX19eSzwvthe0YrYJtGa2A7RitgO0YrYJtGa3A7+2YawIDAAAAAADAd4RSAAAAAAAA8B2hlA+i0ahuuOEGRaPRRq8KUDO2Y7QKtmW0ArZjtAK2Y7QKtmW0gkZtx03Z6BwAAAAAAACtjUopAAAAAAAA+I5QCgAAAAAAAL4jlAIAAAAAAIDvCKUAAAAAAADgO0IpAAAAAAAA+I5QCgAAAAAAAL4jlAIAAAAAAIDvCKUAAAAAAADgO0IpAAAAAAAA+I5QCgAAAAAAAL4jlAIAAAAAAIDvCKUAAAAAAADgO0IpAAAAAAAA+I5QCgAAoFESCSmVavRaAACARovHpZMnG70Wvgs1egUAAADa0syM9M+3SqGQtH+/dM650vbtUoBzhgAAtIVUSjpxXHrkEenYUcm2pZdfK3V0NHrNfEMoBQAA0AhnTkvptDkz+uCD5tbZKZ1zwNy2bJEsq9FrCQAAvJROS6dPS4cekY4ckWKx3PcGBqT5eUIpAAAA1NnCgvm4c6fU2ycdPiQtL0v33mNuvb0mnDpwQBoaJqACAGCjsm3pzBnp0EHzfr+ykvteV7d5rz9wrjQy0nbv95Zt23ajVwIAAKDt3P5t6eGHpMueID32caaE/+RJM2A9esT0m3IMDGYGrAek/oGGrTIAAKiSbUvjY9KhQ+a2tJj7XkeHtG+/Ofm0bVtbT92nUgoAAKARnEqpnh7zMRiU9uwxt0RCOn7clPYfPy7NTEs/+6m5jWwy4dQ5B3K/CwAAGs+2pYkJc4Lp0CFpYT73vUgkE0SdI23fYd73QSgFAADQEE4o1V0kWAqHzaD1nHNMr4mjR6SDB6VTJ6WJs+Z2x4+kzVtMk/R9+6W+Pn/XHwAAGFOTJoQ6eFCam83dHw5Le/aaE0m7dhFEFcH0PQAAAL/ZtnTzp8yUvZe81PSUqsbysulFcfCgNHqm8Hsjm0xAtX8/U/wAAKgnpyLqyGHTrHxmOvc9p/L5nAPS7j3mKrsoiVAKAADAb0tL0uc+az5/1atrO3O6uGgqqA4fMs1T84d0Q8O5gGpwyJt1BgCgndm2NDaWCaIOm6vkOQIBadduU+G8Z6+ZqoeqEEoBAAD4bXxc+sq/SN3d0suuWf/ylpczAdVh6fQpc7lpx8CAtP8cE1BxFT8AAKqXTkunT5sQ6ugRc1LJEQqZKXn79puKqGi0ceu5gRFKAQAA+O3wIen/fUPaskX6zd/ydtkrK9KxoyagOnmiMKDq6zOD5737zGMTUAEAUCiVMu+fR46YICoWy30vEjEB1L79JpAKhxu3ni2CUAoAAMBvv7xb+tEPTb+JZ/1a/R4nFpOOHzMB1YnjZqDt6OzMXO1vn7RzJz0vAADtKx6XTpwwFVHHj5mr4Do6OqS9e00QtWMnzco9xugDAADAb86V93qKXHnPS9GodO555pZISMeOmbO+J46bKX8PPmhuoZAJpvbsk/bsljq76rteAAA02vyceV88dtRM0cuvLO7uNlXF+/dLW7eZnlGoC0IpAAAAvy1kmqPWO5TKFw5LBw6YWyolnTktHT1qBuMLC+bzo0fNz27dahq17t0rDQz6t44AANSLbUvjY7kgamqq8Pv9/ea9b/9+aTNT3P3C9D0AAAC//euXpbNnpSt/3ZyJbSTbliYnTQXVsaPmEtf5BgZyAdXmLZwtBgBsHImEdOqkOely/JipEnZYVu4kzJ695v0OviOUAgAA8Ns/fsYMjK/+bWlkpNFrU8ipmjp2dO2V/KJR09h11x7zsbOzUWsJAEBxiwu5aqhTpwr7KUYi0s5d5kTLrt2mXxQaal3T92KxmN7ylrfotttuU0dHhy655BJ9/vOf92rdAAAAWk8ymTtT6+f0vWr19EgXXWRusZi5ApFzhjkWkw4eNDdJ2rzZDOp375Y2bWaqAwDAf6mUNDYqHT9umpVPTRZ+v7c3Vw21bRuNypvMukKpd7zjHbIsSw8//LAsy9Lo6KhX6wUAANCaFjNNzkMhU3nUzKJRc4XAcw6YiqmxMdMk/fhxaXJCGh83tzt/Zs42OwHVzl2cfQYA1M/8vHk/OnHcVEPlXy1PMtPN9+41V5kdHOKkSROrefre4uKitm3bppMnT6qvr8/r9QIAAGhNJ09K//HvpoH477640WtTu8XFXEB18kThAYFlmSqq3XtMUDUywgEBAKB2yaR05kwuiJqZKfy+c2Jk1y5zYoTp5RtGzZVShw4d0tDQkG688UZ985vfVGdnp9773vfqmc98ppfrBwAA0FoWMpVSzTh1z43ubulRF5hbKmWqqI4fMwcLU1Pm67Ex6ac/MQcLO3dKO3aag4WN/twBAPVl29LcrJmOd+K4dPq0CaYcliVt2ZIJojj5sZHVHEolk0kdO3ZMF154oT70oQ/pF7/4hX7t135N9913n7Zs2eLlOgIAALSOhXnzsZWCmWBQ2r7d3C5/ognejjvTKk5KKyuFvaj6+004tXOntG17809jBADU39KSucDGqZPSyVO590tHV7e0e5cJoXbs5L2jRdQcSu3evVuBQEAvfelLJUmPfexjtW/fPt1zzz2EUgAAAKU4PaV6exu7HvXU0yNdeKG5OVVUp06aqYtnx6XZWXO7797cVL8dO01ItXkLTWgBoB3E49KZ06Yn1KmTpso2XyAgbd2aq4YaojdUK6o5lBoZGdEzn/lM3Xbbbbrqqqt05MgRHTlyRBdccIGX6wcAANBanOl73d2NXQ+/5FdR/epl5gp+p0+bPlSnTppwypnq9/M7pXDYVE/t3Cnt2EGDWgBoFfknKU6dMicp0unCnxkeMfv+HTvMe0E43Jh1hW9qbnQuSYcPH9YrX/lKTUxMKBAI6Prrr9fVV1/t5foBAAC0llu/YBq0Pu83zKC73c3P56qonKl++To6zIHJ9u3mI2fKAWBjSKelyUkzJe/kSWn0TGFfKEnq6zOVsjt2SNt30KC8Da0rlAIAAIALti19+h/MoPzFLzG9lZBj2+YAxgmpih3AdHRIW7flqq+GhgmpAKAZpFLS2bNmSt6ZM2Yfnn9lVsmETtt35Kphe/sas65oGjVP3wMAAIBLKyu5kKWVGp17xbLMFZRGRqRLLi08wDl92hzgrKxIR4+Ym2Qa3W7blqumGho2fUgAAPWVTErjY2b/fOaM+Xz1iYRIxJxI2LHDVERR7YpVCKUAAAD84vST6uqimXc1gkHT5HbrVumxjzMh1cTZzAHQaWl01PSoOnrU3KTcAdC2beZy4Zs2SyGGvACwbvG4NDaaO0kwXqQnVEdH7kTBtm2cKEBFvEMDAAD4xQmlqJKqTTAobdlqbo99nDkYyg+pzpwxB03Hj5mbZA6GRkZMULVli/nY1dXY5wEAzc62pYX53IUoRkelyQlzf76ubml7Xgg1MEglFFwhlAIAAPDLwrz5SCjljUBA2rzF3C59bKap7kSul8noqLS8bM7mj4/nfq+3tzCkGhzkTD6A9pZMmpB/bMxUQ42NSUtLa3+utzcTQGVCqL4+QiisC6EUAACAX7KVUr2NXY9WFQiY6XqbNkuPucSc0Z+fN+HU2Kj5ODVp7puflx552PxeJGKCrS1bclP+Ojoa+1wAoJ4WFnLh09ioNDGxdipeICANj+T2jVu3cVIFniOUAgAA8AvT9/xlWeYsfl+fdN555r54PHcQNjpqGvPG49LJE+bm6Osz4dTmzG14RAqHG/M8AGA94nFz0Yiz4+bj2Ki0uLj25zo7M1Okt5iPmzbRkw91Z9n26kmh8NTMtHTnnY1eCwAA0AxOnTTTyZ59pbRvf6PXBpKpDJiayoVUZ8el2dm1P2dZ5qpRTlC1abP5mml/AJpJImGqnpwAauKsNDOz9ucsSxoeLgyhenuZigffEUrV2+gZ6WtfbfRaAACAZvI7LzZ9jNCcYjFzQDc+nvtYrLdKKGQqqDZvlkY2mYbqAwMEVQD8kUxKk5O5KqiJs9L09Npm5JIJnDZtMvsqZ5oy1Z9oAoRS9ba4KB062Oi1AAAAzaJ/QNqzp9FrAbcWF3IN050KhHh87c8Fg+YS6MPDJqQaHjGfc/AHYD1iMRNATU7kPk5Nre0DJUnd3SaA2pQJzDdtMlPzgCZEKAUAAAC4ZdvS7Iw0nlehMDlpps4UMzCQC6icsKqry881BrAR2LY0N1cYPk1O5noSrtbRkavW3LTZBFDd3f6uM7AOhFIAAACAF5yDyYmJzIHkhPm82NQ/yYRSw8PS4JDpTzU0JA0MUlUFtItEwlwRND98mpoqHW739pp9xtCwCbY3bTIXzqAPFDYwQikAAACgnpaWcgecTmBVrPGwo6/P9BxzwqrBIVNpxVWwgI0pFjMXwJp2blPmY6nqp2DQvO5HMuGTMyU4GvV3vQEfEEoBAAAAfkskMlURk+bgdGrKHKguLxf/ecvKhFWrgqr+fiqrgGYRi+UCp6mpXBC1uFj6d7q6VvWhGza9B7lgAtoEoRQAAADQLJaXzUHt1LQ0PZn5OGUOdkvp7s4EVAMmpHI+7+3lwBbwWiplpunOzkizs5nbjKl+LDVVV5K6ujMVkJkqSOfzjg6fVhxoToRSAAAAQDOzbXOw60z7mcpUYszOSCsrpX8vEJD6+qWBfhNSOZVVff2mOoM+NEBxqZQ0P58LnGZnpblMALWwYF6TpfT0FAZPA5nwial3QFGEUgAAAMBGtbKSq9KYnc18zHyeSpX+vWDQVFL19plpgas/5wAarcy2zWtnfj5zm8t9Pjtrvi53mBwOm4DXqU50KhQHBqVIxK9nAbQEQikAAACg1di2qegoFlhVqvSQTCjV2yf15YVVPT1Sd4/5GIlQaYXm5YROC5mgaS4TOjlfz89LyWT5ZYRCpqqwf/VtQOrsZPsHPEIoBQAAALSTVMo0Xp6bMxUhzgG783m5KYGOUCgXUnV3Zz7vLrwvGuXAHd5Lp03vtcXFvNtC7vOlRRO8VgqdJNPnqbe38OYEUd3dbL+ADwilAAAAAOQkEoVhlRNeLWQO/KsJrSQTXHV3m1tnl+lj1dmZ+TzvY0enmU6I9pZKmbDJua2sCp6WnI9LlSv9HMVCJ+fW3WO2UQANRSgFAAAAoHrJpKlMWchUqDhhVf591QZXjo6OTGDVmQmvMgFWR4cU7ZA6ouZjNGruI0xofsmkuWpkLGYCpuUit/z74/Hql21ZZjvp7jbBU/fqW2aaKdsJ0PQIpQAAAAB4K5ksnFa1vGwqXJaXpCUniFgyH2s5HAkGi4RVmc87Okwj6kjEfAxHpEg47/OICSuYmlWabZv/YSKRd4vnQibnFi92X+ZjuUb7pQQCpnKuM+/mhEz5oVNnp/lZABseoRQAAACAxnAaUi8tFQZVztcrK5mwYyUXeqTT3jx2QWDlBFghKRiSQkHzMRg0AVYwmLtlv3Z+LnOzAiboCli5zy3LhCfZz621P2fbkmzJzvw9nFv+fXLuz/uZdNoEP+mU+ZhKSali9+Xd0mkTNiWdoCkveErmBVDV9GOqhmWZELCzc23Y5Nzy76cPGdB2CKUAAAAAbAy2bUKT2Iq0EssFVit5odXKiqngcap74pmPTuDC4U/1LMuEdaFMYBeNSpGo+bj6Foms+jrKVRoBVEQoBQAAAKA9FExLcwKrRCbEipvvpVK5j84t+3VSSqaKf56tYLIlO11Y0ZRfAZX/dT6nmqrU56vvCwRMhVbAqdYK5Kq28u8LBAsrvYLBTFXYqluoyH3BIKESgLpqylDKtm3Nz883ejUAAAAAoD6cYCo/bAKAFtPb2yurzD6uKS9HMD8/r/7+/kavBgAAAAAAAGo0Ozurvr6+kt+nUsoHc3Nz2rVrl06cOFH2nwE0M7ZjtAq2ZbQCtmO0ArZjtAq2ZbSCem3HG7JSyrKslnwx9/X1teTzQnthO0arYFtGK2A7RitgO0arYFtGK/B7Ow749kgAAAAAAABABqEUAAAAAAAAfEco5YNoNKobbrhB0Wi00asC1IztGK2CbRmtgO0YrYDtGK2CbRmtoFHbcVM2OgcAAAAAAEBro1IKAAAAAAAAviOUAgAAAAAAgO8IpQAAAAAAAOA7QikAAAAAAAD4jlAKAAAAAAAAviOUAgAAAAAAgO8IpQAAAAAAAOA7QikAAAAAAAD4jlAKAAAAAAAAviOUAgAAAAAAgO8IpQAAAAAAAOA7QikAAAAAAAD4jlAKAAAAAAAAviOUAgAAAAAAgO8IpVB3k6fndPbEzLqXM3p0WjPjC+tfoTqYGV/Q6NFp2bbt2TITsaROPHhW8ZWEZ8v0y9ixGU2Nztf5MaY1Pdac24Pf0mlbJx46q6W5lXUtJ57d5pIerdn6zE0u6cyhSU9fV6lESiceOquVxbhny5Qy+7mTs54uc7WJU7OaOFXfxwBKScTN/iG2vL73pOWFmE4+dFapRGpdy5mfWtLpQ5Oy097tHzaS2HJCJx46q0R8fX9Hv9m2rTOHpzR7drGuj3H60KTmJuv8GAcnNTe1tK7lpJJpnXjorJYXvH1PQnMZPzGjqTPejouX5mI6+fCEUsm0p8utN9u2dfLhCS3MLDd6VdbFq7E3DEIp1FU6bevhO0/pkZ+fXtcb9/J8TIfvPqMHf3yiKUOaR35+WofvPuNpEDN6dFonHjqrg7847dky/RBbSujQXaf10E9OaGWpPoOs5YW4Dt11Rg/+5MS6D5BawdTpOZ148Kwe/MnJdR2gjR6ZMtvcXc2xzR2++4yO3Dum8eMzni1z/MSsTjx4Vg/99KRnYVcqldbDPzupR+48pfnp+gyykomUHrnzlB7+2SktzjIAgv/GnPekn59a13JOPjSh4w+e1bEHxte1nMO/HNXRe8c0enR6XcvZqE49MqkTD57VkXtGG70qrizNxXTknlE98OMTSsTqcwJkYWZFR+8d0wN3nFByneFnKfNTSzp635geXOdjnD3pvCed8PQEDJpHfCWhgz8/rQd/esLT8PH4g+M6/sC4Tjx01rNl+mF6bEHHHxjXgz8+oXRqYwVq+bwae8MglEJdJWLJ7Av15IO17zSd4CGdtnXqkUlP1s0r6bSdHVidfGjCs0FFbMk855nxRc2v80ycn2KZ0NC2pVMPT9TlMeKZ7cFO2zr1SH0eYyNxXh8ri/F1Vetkt7mxhbqFK244z+vkwxNKe/SG7yxzcXbFs0q7RCwp52V/sk6Dw/zH2GgDULSG2LJ5n5udWFpXBYrzGhw7NrOukwrO7556ZGJDH9jUynkfnDg5q+X5WIPXpnrO+0w6ldbpQ/UZzznbRipZx8dYMq+HZCKl0SNTNS/H+T8uzcU8r6RBc4hn9p2ypZMPe/f+7byWRo9M1S3grQfn9RlfSWrs2ExjV2YdvBp7wyCUQl3l7yRnztYeruSXp48dnW6qaqn857g4u6LpUY8OdOO55W6kg9D8v8f48Zm6VEvl/23We2DTCvL/5icfnqj5jE3+66xe4Uq10ql0tiQ9tpTwZAqwVPi3OvHQWU9C5EQs93ebHlvQQh0CvfzHmDozT7UUfFfw2nmw9pMBznLWc1LBtm0lM/ur+EpSYx5WU24Uq/f7G0X++/eZw9MFX3v2GHl/mzOHpupSLZW/3qcPTtU8HXXN+zfVUi0nf1s5e3LWs/YBznLTKTOVdKPI3+Y38kkFr8beMAilUFerex3UGq7kv/DTaVunmmjnu/rsRD0OdGfGF5uicqUa+ett26pLZVvBYzRh9Zzf8v8eK4vxmvsO5W/L9QpXql6XVfsOr6ql8pe7OLPiSZ+6NfsAD8+ElnyMDRRUozXkb4OzE4uam6zxJFPe/mrs2Ey2UsTVMlbtH049vHEPbGq1+kB3eWFjVEsVjOdSaZ05VHuVUTWPkUqmdeZwfR8jmUjpzJHappHmvx68PLGJ5pH/PzbVUusPkW3bLljumQ1ULZW/3vGVpKctGvzk1dgbBqEU6srZQXb2RCSr9qlo2eX0RiVJY0emm6YZszM4jnaGFQhank0LWv2cN8pB6Or1Hj82nS0xrtdjjB2brunAplU4Bye5baW2s63OG2wzbHPO/zgUCSocDWaqpdb/hr/mdfXg+kPkgv2cpOnRBc8beK5+jKkz81qkuSZ85MX+IZ22s1Urnb1Rc1KhhpNMzushGA4o0hHa0Ac2tVr9/9go1VKr1/vM4SnPm7WvfozThyY9r5Yq9hi1NJwuNtajWqq1rBkXn5hZd7VUKpnOVuZ09kZNtVSdpqp6bfXf4+QGrZbyauwNg1AKdeW8aXcPdGrzrgFJ5kVb63JGdvSpZ7AzUy3VHAMwZ+fa0RPRtn1Dkrw90N130RYT6DVJn59KnP/V0NZe9Y90ybbNG463j2H+NiPb+9Q71FnzgU2rcP7mu84fUSgcNGdsTs65WoZt20rmb3PKVEs16Ooozv842hnW9gPDkqRTj5xdd3m087fac+FmBYKWFmZWNDO+vis0OcvsGezUpp39krwP9JyDtr7hLg1v75NketgBfnFek3sv2iLLkmZrmJKfzKvucfYztUzJT2Zec5GOsHacOyJJOvnIpGe955pdKm968/6Lt0pyqqWa/wpuzna0ZfeAuvqippLJ44Np5zG27h1UZ09EqYT31VLOY2zbN6iO7oiS8dp6SzkHtnsu2OzpiU00D2dbGdzSo4HN3Z5USznjjkAwoD0XbJZUv+mwXnOmXu84d9icVFhOatyDk45+82LsjRxCKdSVsyMOR4Paed5IplrKfbji7GQj0ZB2nb9JkjOQbfzO19kphaMhbT8w7MmgIpVMK50yg+veoa7sgW6j+/xUw/lfhaNB7cz8r8aPTXva9yn3Nw+u2h7as1oqG4x2R7IBzsmH3QWj6WQ6e0CXv801qloq/3+8de+QQpGgVhYT62ommR+8dfVFtXXvoKT1n5nObfMhs5+T99VSuX1pSDvPN48xeXqOain4Ir/HW+9ApzbtHpDkfv+Q/7ru39St3qHOmi5gkj+22LJnQOFoSPHlRNtUSzmhnBWw1DfSpcEtPZ43Ua6X/DGT8/7tdbWUc9Bb8BgeV0s522CkI5zd75866L5aKldxFdG2/d6d2ETzyG7zkdyY9ew6q6Xyx9qDW3vU3d9Rt+mwXss/6Zg9qeDhBW384sXYGzmEUqir7MAxElJHdyR7oDvm8hLO+YOYgc3d6hnoUDpl6+zJGU/Xtxb5g+NwNKStmWopt8+xYJmZN5tA0FIgaGnneeZNbHpsoembeucfPPePdKsvUy3l5cFCfgiQf2AzfnzjnWlZL9NXIPf32LZvUKFwUMsLcc1NVF/F4BwQBIKWgqFANviYHl1oyNTI/H1HMBTQjswb/nou/54fvIUjIW0/MGKqpaaXtTRXez+W/P1TZ29UIztNJZOXV5XJf4zuvg4Nb+81j3HUu8cASnH2D5ZlpsztPHckOyXfzYFV/r7KsqzcSYVj066qIPP3D4FgQDvPNfuH9bzvbiS55x+UZVnZE0BnT87W3HDbL/kH00PberPVUl72Y8kflw3v6FNnT0TJRFqTp72rYkjEcwHrpp392WopN4+RX/EWjoa0/Zzcic2FGU44tIr8MWvvUJcGNnWve1y8el/qjNlGj0w3fSiSv+75JxVmNlCFoFdjb+QQSqGu8t+0JVO6Ksl1Q878AYZlWRrc0ptZTuNL1fMHx1L+c1zHGZDsWRXzZtPZE8n2kmn2Zqb5Z8IlaXBzbf/z6h7D/H3q8RgbRSqZljP+CEeCCoaD6hvukuTu75H/5ipJnT1RdXRntjmPrhTjRql9x8o6/serg7dIR0jd/R2S1rft5O+fJGlws7N/8nKbL3yMgcxjrOfvAVRr9QFQR3dEXZk+Gm7e6/Lf2ySpf1O3rICldMpWzEWl6+r9w8CW3Guu2Q/IvJB/kCtJvYOdCkWCki2teNzD0Wurt6WBzc6+3bv3mVKP4eWYseAxApYGNnW7foz8irdgKKBwNKSewU5J7Ntbyepx8UCNx0LllumMg5OJVLZSsBmZvoJOEBtUIBhQf/a1s3G2ea/G3sghlEJdrT7Q7egyB7kri+4GTauXE+0OS5JiDThYXm314Ng5kI8txWseHK8+AJWkqLNcl387v635n3fX9j+v7jHM3yf7t2nywXg9ZBv+hgIKBM0u3Xl9uDk4yQ/6HB3OchoRSq1+zWf2HclEuuYB1+plSt5sn2u3eefvVodtPrLqMdpwm4f/iu4fnPfzJRehVLxw321ZlqKdzvu5m/3V6v2DWUY6VXhFqla1+oBUkjq6Gre/rlb+FcNWj5m8Wu/VB731eIz8Fgu5cWlu7Fet1RVvUv7rin17q6jHuHj1MgNBc6JNau5tx2mhIEsKhTOvz66NN57xauyNHEIp1NXqgazzpp2IJaued1/w5h9xdmDN86a9+o0h0mHOmtm2ap5qV/TgObvTbu4BZ7aXQ6TwYMHNQK2c9Kpyd2ljDMbrpezBYk3TavIPchoX9q1+DThnkaXaXwNeHViXXG5m/+QEaPHlhGc9EuoRfgPVyj94dtRycqh4MOz+vW31azkQyIVbzfwe6ZWyAXsTjItKyT+hEIqsev/2aL2LHfTmxiHePIbz93daLEi1jUNWV7xJjT0ZBO+tnuYleTOeX111KuWNC5p420nEC2eCSN6Hxn7wauyNHEIp1E1+U2HnQCoUDigYMptdtYODbH+lgKVA5nc78gYYjW6Mt3rHVOuZ33LLlGqvMvNTfqPSbICYDSJTNV0uudRjWJay25ITdsZXkhvysrLrUbSqroYB+OpKHCnvrE9DKqXKVALUeGBR9m9V43M0QWzhgNOUpJvBlhdhrJ22Cxr3Spnw29K6wm+gWkUPnms4OVTsdR2t4b3Nq5BsoyoWSq13X+YH5/8fCgcVCJh9pPP/jy16E7AXPejNO1j05DHy3i/XHFh79Hpox8rvVrR6mpeU+x+n1lP5HS89nmnmYL78mLV513s1r8beyCGUQt2sbiosKduLQqp+p5kdxERzb/7hjlB2QNOIJsyOYsGbVNuZ33zZN5siA+6N8GYTigRlZf4/oXBQobDZ1Xix7qt7RUjm75QLAdrrzaBYmJR/1qnaAfjqShypsRWJxUOy9Z0FLPu3qvE5JhN5A878YNrDv12ioLogb9pT9mCuvbZ5+C/3PuxR+F2kMsTVtCePQrKNanV1piTXY6tGKHcgnU7nKkrW9RhlDhZTybQnV+Ar9n7pPEYynqq62XzZqvgmDhdRvWLTvEzlt9l2aq/83pj7wHJVnrGlxIap/PZq7I0cQinUzeqmwg63A9liAwxzQNb4N+5iwZu0/jNd5Sqlmjl0SRZZb0meHjwXe0MrDDub9+9TD+UGx2YAXl3lWPmBgr+vMdu2855XsSmsNb6uigZvmf1RjVPtsgPOcCAblEt5B9oe7J9WX+hh9WM080EoWkP5fmwuwu9iA3mPKq7a6WC+XCjXzGOEYttR4dTL+owR8qd/12scEgoHsycNqn0e5V5X7Vj53YqKjeel9QdIRavsNkC1aLH19qLtid+8Gnsjp+ZQanJyUpdeemn2dt555ykUCmlqasrL9cMGVuzNVnI/d7jicho4ACsVvK23J0Dx/j65s3BenOmrh2LrLXl7BrfYG5rkTW+gjajoADyv4WW1g5Ny00G8mnpZrVQynb08fCi6thJg3ZVSec8xW3Vp11Z1WewgW/L2jGWpx2CaB/xSrH9JLdUnRYNhl2OCVJG+glJ7XfCi3AHpShNXG5R6//byYLrkGMHDEL900ODuMYpVvIUiwWxFTTtsy62u1LjYs8rvjVopFSk8sbzetid+82rsjZyaQ6nh4WHddddd2durX/1qPec5z9HQ0JCX64cNrJ5v2lJhH4JGKRmYrfsMSJGdXd5ZuGYdqJQ+QPfuamQlD9A3wBmieij1OnPbW6Do4LjgzK9/f9f8cvdgcG2VpZevq/VWXRY7yJa8rdoo+Rg0xIVPih1Y5Q/Aq923lwu/q5325FTkWoFVJ4PaqVKq2N+xI2z6zKVtxVfWPw2uHhoZ4nvZl7NYTzPJ/VWSi1W8mcpvqmBbRcVxcQ3bfLGLCkn5U6Eb32+3lGJV8NLGq/z2auyNHM+m791888165Stf6dXi0AIqnx2o/U1bao5LopcM3tZ5JYl6LbfeSh0813KpZLePsRHOENVDxeq09b7Ouvw/e1X6TPf6rjhXKuBeT9VlqWDay6qNeoXfQLVK7R/cNKgtuJLuOqY95QcChdNZ22PaU7GreUkmpGuGtgblVDwg9TTEL3HiypNxSPn3S9cng0qNZzZI1QhKK31SqfbxfLGLCpnHaI5+u+WUHLNusG3eq7E3cjwJpX74wx9qenpaz3ve87xYHFpE5bMD1R1YVpyP3RSVUquruPLO/Lqc9lRwNa/VB89NnsCXPnj2cMBZcjpncw/G66X01K7qB+DmIKd8P7BGVEqtfk7r7TtQ8cC6lsFhpcDIg4aXXk2FBmpRuH+ofQDubMeBoJW9MEV2OS7e20q9jttl2lOxq3k5mn1Kb6UDUm9D/Pod9HoVJpU+qdHcYz1Ur+T/eB1XnCt2USGpefrtllP5RF5zrvdqXoy9UciTUOrmm2/WNddco1AoVPmH0TZKVs1k3rTTqdxAt+xySlZcNf6FX2qnZK44V9u0p/yreYVKHoQ264CzfIWXF1fWKP0Gv/Gu3uGFipVjVWwryRJn3aTGhH2lznSvp+9AueBtfZVSpfZz3jW8LD2F2f3VngC38nu8lZoSVc37cP77ZX6Fk+SusrDUa65w2lNzvkd6odjVvBzNHlRXOiCt74krL3tblg+Tqj8ZVP6kRrOGi6heVeNil1PtSl1UKH+5zboPLFmxvs72DH7zYuyNQusOpRYWFvSlL31J1113nRfrgxZS6s02ELAU6cw0gnMzkC3xpp1MpAsOqv1Uaqck5fc4crdjyp4BWXU1L6n5E/hSfRYinXmXfF5nr4vSZyjzQoAGbQ9+s9N5fQXWMQAvddZNaswUsVJBtFR734Gywds6qsFKBdOFV3ta3+u1ZGVIQfjNAAj14exzA8FAQQ8nKa9/RjWVUmXeL91U05YaE5jltP4FL0od5Err77tXb5Xev72YelkpxK/1SqtFH6PMlOpKJ8fKVby1a+V3Kyo1nimo/F6p7Tih6LFHE/TbLcVcWXnjV357NfZGoXWHUrfeeqsuueQSPepRj/JifdBCqho4VlXyX3yAYQ76/G/CnK8eg2Ov/m6NUOrNJpDf62Kdg+VSIUAgv+lukw7IvZbfVyBU4qxTbLnyWbhSrzGpMQ3k6/EaKBe81RogSyo5MJG8a9xZ9iCUaR6os9x+vVhI7D78Lv9+6aKnVJnXQzMekHmlbGjfxAekUpnq8rypl+t5/y530OuEALVeabXoY6wOvjrDUpXN5stVvLVr5XcrKrXNr6fyu9Qypebot1tKOmUX7SsobazKb6/G3ii07lCKBucopdyBbrUD2YL+SkXPCja2xLnsILvGM12lpi5JeQPu5eYcqJQ6Cyp50w/LDAYrnyVu1koyr+UfnKyeDhPuyDS8rKL/UqlBvFQ4jcCvba58SFZb34Gy+6Ns1WWq6kvb55Zb+QDRsyC23EFoEw5A0RrKh0nVV59UE65WE6ZU81puxgMyr2zcA9J0tsdmsanZHR60ZCh30GtZlifjkGQiJZVosWAF8oKGCo9R7vXQjpXfrapshWiNJ5XKV502b8VRfl/B1VW3bi940Uhejb1RaN2h1A9/+EP9/u//vhfrghZT7kA3Fx6Uf8Hm91fyMvjxStmD5xoHx/kVHWuW2dm8l3xOlRlwSu6vulj0MfJ6m4TKnbVv0koyr5U7OCloeLmOwbFz5teLqZfVKh+S1XbQVW6ZwVAgNxhyGyL7ULVRj/AbqFa5kw35A/BK1SelpndL7qY9ld0/tMHroZoD0kQs6foiK/XmrLdlScHw2sMPLyrByx30St6MQ5zXQ7EWC1L1z6PcyYZ2rPxuReWmeUnrr/wuO+5owpOz5dZbav6LOTm8GnujkCeNzoHVyjUVlqqfO5wtb6705t+oSqkqDp7dHpCW22mbnV1zngVxGi9ageKDQS96feSXuweD9XmMjaTcwYlU/QC83OA4/8yvX68zL/YdbpaZv1w3FUfptJ1tYl6vSqlUMp0789+mlSForMrvSdUFQWVPVLma9lSml2MbTHsq9/8IRYLZwKfZDkrz13t1dYHkzVRkPw56Kz5Glc+j3IGttL6rwqI5lJvmJXlQ+V0m6Eom0q4rv+ut3Il8yZvQ2A9ejb1RiFAKdVGuqbBU/cCg8pt24/onVBu8uR0clxtwS/kNYZtrZ5d/FrzYgNOLM9iV/jbt0E8kn1cD8MrL8TcIzVYLFj3orK3vQLngTartYCWZWaYsZRuOFyzTi20+cyAfCFgKFD3z317bPPyXO5BYX6Bbbv9dOO2p2hC9wrSnJjsg80rFgL1Jg+pq19uLKqZSB71eVFNXeh7RKp9HpQPbZr+KGiorN81LcneBh6LLLbKdF/TbbbJxQbkTE9IGrJTa4M+j2RBKoS7KNRWWcilyfLn8lVYqv2k3rn9CpeAtUuO0p0o7u1rPrNRbpTcbL/p/VQopm3UwXi+Vz9hWO42g0kDevzfYSuXutfYd8OpvVbDMeO5gveiZf2ebX0fDy+xUkRLVBW6mPQG1KNfoXMqfqr7O8LuKKkhzMqj0cgqmPTXZiRuvVAzYm3QKY7kDacmb95nKB73eVWwXq3yRaqiUquO6orEqjllrDB79GG/XQ9XvAU223qvVYzwJQinUSaWD3HAkqEDQHGCVawRX7Qs/thT3/YCsUvAWqHHaU7kDcql5E/iKFV7duUs+p2q85HO5Juf5jxFbWv8lnzeCimFStQeL1Q5wfHiDTVQIe6XaXgMVy8ZraJJf6eAw/2pPtTa8rPQYbqY9AbWoerpSteH3Ot7bUsm8PpMVqmGa7cSNV6quIG+yA7uqA6PF2gP2yif1ar/SavYxXDyPssupVHFFFeyGV3GaV17lt5vKzmrH280XTFeaCdLcVw91eDX2RiFCKdRFpTdtcxWUym/clQYYkY6QafzdgKscVNopSbVNe6p0NjHapAl8pf9VKBzM9pqqdbBc6QA9HA1le4+t55LPG0XFMKnKAXjlfkv+BaHOcwqVmAYq1TZfv+KBRC2VUhW2eS+u9lTxMVxc7QmoRbUHEuW2cXPl1ArvbVWE3/l9BQNF+gqa5TTnFHevVKwgr3FKUL3lqj7LH6CnU7Vfca7abbWWK61W+xjO+1OlZvOVp5RvjKoRlFbNuNipuKt2XFzpokJS8247FUPjvAvZNHPlt1djbxQilEJdVDrIlapralnpzT+/8bffL/5KOyWptsad1c5VbrYD0GoO0KttiNvIx9hIqu3RUWkAXrEax4OrIlWr0v9YWmelVIXBkJuqy0r7J7Pc9e2f3IXfDIDgPS+qT5KJlJR5WYXWEX5XM7Zo5bPUlaY3S807BabSdlQ49bI+Y4T1XGm12scIhQNVnYCr3I6gvSq/W5Gr8UyV22OliwpJzdskv1J/wo1S+e3V2BuFCKVQF5UOcqW8Ms11vGlL/lZx5HP6RFUzOK72gLTwal7lB5yJWKqpLvlc1cFzDVc4q/Uxmm1AXg+VXmf5A/BSf/N0NWfdMq+xRKz2qZfVqiboqeUsYDXT4Jyqy/hydYOhuA/7p6oGtQ3aB6L12XZeCFKhl1+5AXi2SqbElXTzl1Nd9XSZILiFpz05J8Ok0j2NctP3/G9rUE5147n1jhF8fIxyFbLdlYPRShVv4Y72qvxuRdWMWaMut8dKFxWSmnccXKk/4Uap/PZi7I21CKVQF9UdSFWe2lbpjKDUuP4JlQYUkvuDRefvZllm8F5MKBzMfq+ZDkLrVeFS8BjVVKdtkDnpXvDideZsx5alkmfdvJh6Wa1qnpPbg85qgrf8qku3r9fqqjZqPABytc0z+IG3qunxln+1p1L7h+pe13nTnkqE31WFDk06dcUL+aF9yenN2WlwuSsEN4PqKkvXG+JXc1LDo8coFzTkVTkVU03FW7tVfreieoyLqxkTdDR7MF3VmLV5999eHeOiEKEU6sKLN22znCoqrhrU0K+qQbbLwCzXPL34lbbWLLeJdtrVhHS19AIqeIxqpm408IqMfkol00qnzGCj/NSu8gOe/O241DZXcOa3zq8ztwed1Qy4qgnezHLd9aKpbptfX9VGVQdZVEqhTipd0MMRrdA/sZp9dzXTntycDIott960p2r2j4UXWWmefYIfB6RVHbD7+hjlTwZJpSveCpbT4uOZVlWPbb6aMUGkM+S68rvezJVT6x8a15tXY2+sRSiFunCbIpc6sPSjEqFW1U0lc3fFuWoG3Ga5zdczw93/an1TmUo1Si14jBY/O+H8LQIBS4FyQUuFAU81/zepuhDZC1WdTXfZd6Ca4E3KL6NvokopN4/RRCE1WkOyijBJqhyM5odbpVQTflfzeshe8MJuvWlP1ewfpeabwmga3df3gLTag95arrTqSKdtpSq0WJDcnAwqXfFm1rV9Kr9bUXXbvPfjjloqv+stWRDEVq6YbaaT7vm8GntjLUIp1EV1U07Mm3YqmS7ah6Kwv1IVZ5KasFLK7bSnagMCtxUd9WYGgy5635QJIks+RhXl7lLeYLxJ3ojrJRfQVaqqK//3qPYgx7dKqSr2HW77Drh+XVU9OKymCXltl3x28xjVXu0JcKuaamWpcjBazetaqhx+V1NxZVlW3lVqW+t9oNq/Y7NNYUwl07LTTnVBfQ5Iqz3oXc/BYjUtFqTKz6Oaijezru1R+d2q3LQjqLryu9rxTINmkZSS6ysYLNlXUGr+C1V4NfbGWoRSqItqDnSDeVdaWZqNFVlGpgLCMjuxUqJ5B33xFf/euKs6eM4787s0u1J5mVWelXYGPEtzlZfph1QiLee9tOzBc2eu14XbiptqeptI+U1304q12FnyfG6r6pbmYkUHPFUPjjOvs8U6b3NuQ7LFIvsOP5Zp27aSVQwOg+Fg9nHdvl5NdUE14Xdu2lOz7BPQGqrdPzhn5Uttf+5fg6WWU21I5uyvKr+WNxK3B6Sl/o5+y1YXBAMVplBnwpzlRMF7vpvHqPagN7YUd32ioNoWC/kV28VOFLh9/16cXWmq3kCorNppXtGOzEVW0raWF6o5yVb5RJWU2waXmmQfWKnJucPZdy3Px5py+rVXY2+sRSgFz6WqaCrsGNjcI0k6e2p2zffyB8Pl3vxD4aB6BzslSRMn52pa51pUO8ge2NwtqfhzXLvM6nbazjLnJpeaInhx1jsYCigQLL1bCQQD6h/pkiSdPVn571HwGPG83iZltodgKKDeIWd7cPcYG0m1Bye9g50KhgKKryQ1N7lUZjmVtjnzWp2bWKrrlJhqn5ezPhNuXlcVDqz7RrplBSwtz8cqhm/pZDo7YKq4rpsy+zmX+6dkIiU5YW+F8Dv39/BvH4jWV+0A3HlPmp9aLnqGu/rXtVnO1Jk5pYtMea/2tZx9PbTYe0C1B6TO858eW2iKS5JXO16KdITU1ReVJE1WsW+v6TE6Q+rsici2pcnT7vaX1R+QhtXRHVY6bWvqzHyRda3u9dA33KVAwNLKYrxpAkZUp9ppXlbAUv+m6vdX1VZL5o8J7CYId6rd5rv7OhSOBpVMpDUzvuDHqrni1dgbaxFKwXNOD4pKTYUladOufknS5Km1A9Bq3/zzl+M26KiVm+Bt084BSdLM2EKu+quE6qtWIuobri3cqYdq3yQladOuAUnS2ROzrs4eVPtGsJ7H2EiqPTgJBAMa3tEnyfw9Si6n4pn3SDbsqyZgrVW1r4FNO81zmp9arlieXu2+JBwJanBLJkAq8rcqtsxA0HK3n3MxOHT+N8FwoOyZ//zHmDg12xQDULSGqnvOdYazJxwmiu5nqltO/0i3Ih0hJRNpTY+tPSCp9rU8sqNPlmUqTJbmm6NSwAtVH9j1d5jgJW27Dl7qoab37xpPXFV6DMuyah4zVvs8LMvSyE7nMWZqXk4oHNTg1l6znArvSWgu1U7zkgqPYSqNWas+Ib6lR6FIUIlYUjMTi9Wudt1Uu95WwNLIjszfowm3ea/G3liLUAqeq7apsGTOAkU6w0ol05oaLRyAuhnEDOcNQOs9vUhyF7x19UXV3d8h265cxeAqiNuZ22k3Onip9s1Gkoa39SoQNGf+Fmaq/1+5eYyR7X2yApaW5mNNU7rsNVeD/My2Mnl6bk3D/VoDxXooKHeveEY9rIFN3VWtTy1/q4kKg0M3y+zf5BxopzQ9tvasecXHqBDQSeasqBmApjRztvnOLmJjqja0lgrDhNWvnWoH8gUH86te19X2FXS+P5ANmGcqrvtG4SYUqff+2g13Y5vqTzgUPIabMUJmG5ubWHLVSsDV68E5ITm+uKa1RLWvB4kTDhuVm21+aGuvgqGAYksJzU8tl19ulfuAQMDSSBOFIm7GM842PzU63xSVnvm8GntjLUIpeM7NQa5lWdkByOqzSW4GGOFISINb/Dub5CZ4k6qv5HIdxGWmGjU6eHHzZhMMBzVUw5k/N3+bUEHFy0zVj7GRuHmd9Q13KZoJf6dHC0ORmsK+uVhdphI4z8kKVK4+kvJfVzOeBUiDW3oUCpuS69mzpc8uujmoKHegXY6b/02gyc8uYmPK7durP+GwvLD2hIO78Ntsx9Nj89nfM8vIb2RdTbgxIMlMm230iRuv1HLiam7SXfBSD272wW5OOBR9jCrGIbVWm1c73V2SOnsiJVtLuHk9cMJhY3KzzQdDAQ1tc8bFMyV/rtqLCjmcfcDUmbmGXwQlUeUJBSlT6dkbbZpKz3xejb2xFqEUPOfmQEoqPb3NzQBDyjubVEX563q52SlJyh4sLkwva3mhdIDk5ixcKBzU0FYTvIw3OHhx/T/PO/NX7XSmXAhQ3d98c/asfesckORz8zcvF4q4eZ0VhH11mDaa/5yqCXuHtvVlqu4SWpgufXbRVbgTDGh4R+UQ2c3AUMoNDqfHFgquElWO68fIO7uYarKzi9iY3LzXlTrhkE7bSiWqm+4umZ4iTnXxZF51cX4gUNX+YWuP6emxnGiZnh5u9gnRrrD6auzh6DW347mRKk84FH0Ml/vLaqZMrXkMl+PS1X9/N2M9TjhsTG5OXEl54+LTxfvpSZmrWFZxUSFHz2CnOrojSqcaH+64CXRNwUJzbvNejb2xFqEUPOf2TbvU9Da3A4zBLT0KOhUOdZ4/7TaEiXSEcg3PS+yYCq/m5S7QmzjZ2EaGbv9XA5t6TCPDeKrqRobVXrkj+xh58+nLVbxsVLUOwKfHFxTP/K7bs25S9dPbauF23xEMBTS8zVRajpd5w6/1QGLydOmzi27/bt39HerqM2f+JqocHLoNv3sGTB+ZdMrWZJHmuoBbXpxwcF4rlmWuFFnVcooM5N2+jlutp0e1V/PKl/s7Vh/u1IPb7Wi4yhMO63qM7X0KOBe2qLLy102lmlS6tYSbA3SJEw4bkdsxgtNPL1Win17+MitdVMixnv5pXqt1zDo3uVT04hmN4sXYG8URSsFzTlPRat9spbyzSZmKn5XFeHZedbXLCQQDGtnuzwA0+xyrHBxL5fttSFJsKZG7mleVy22GRoa2bWtpwfmfV7febhsZ2rat5Xl3jxEIWL5tD35LJdPZqy5We3DS1RtV90CHZEuTmcHJ5Om57Fm3UJWvs2qnt9XC7f9YqtxEPBFLuh5E9A52misnpYpfOUlS3jbvYj+3s3A/V8myy31p4dnF6h4DKCW2nKj6gh6O1SccbNvO7n9DFa6km2/E6Ss0vazlhbjSqXT2pFUtr7lW6OnhjDsqXc0rXzZ4WWjc1dts285WiFe7HVV7wiH7GGn3j+G2iXg6bWtlIe7qMYq1lpg5u6D4CiccWlktY9ZqqmqWahkjZZY5e3axYVfrTqfSWlnMjFmr3H9HO3OVns1yFVWvxt4ojlAKnpo6M5/dmTqXOK3GyI5+yZIWZlZ04qGzuuv2w1pZjCsYCmQva1oNJ/iZPD1ft/nTc5OLOn1oUpJpYFytoa29CgSLNzJMp9J6+GcnJeUuI1qNZmhkOHpkWnMTS5Kl7BtINdw0MjxzaErzU8uyLGX7QLh5jMkmmE/vFdu2dfCu00ol0uby2b3Rqn93c2ZwMnZ8Ro/ceUoP/+yUJGlwa4+CVZx1k1ZNb/Nwm1ucNa99Sdl+ItXo39StcLR4E3HbtvXInadk26a/R6SzhsFhkSsnTZyey/YIcbMPcJZZTQPfsydnNXnaPJ/+ERePkdnmZyeWGjYAxcaXTtvZ96SegY6q35PyTziMHp7SA3cc1/EHxiUp+15VjUhHOFtdfPLhs/rl945o/PiMJGX3P9VolZ4eqURKB39u9tf9m7qrDvdC4aAGt/nXb7OYEw+d1dJcTIGglb2CazXcXLX0+IPjWl6IKxC01DPo/jGqaSJ+/P6x7Li0psc4Oasj94zq/h8el5221TPQoWhXuKplcMJhYxk7NqOZzEm7/hrGxav76UlSfCWpw3ePmmW6GHfkXzm5UeHO4XtGlYglFYoE1dXXUfXvZfsCNsEFnbwYe48TSpVFKAXPLC/E9Uhm0LRt/1C290w1Ih0hDWRCrBMPnlU6lVbfcJcuefp+RTure9OWpN6hTkW7wkqn0nV5446vJPXQT09JthlgO28g1QiGAhrebgaHo0enCnawR+8d08LMikLhgM59/A5X65TfyDDu80Ho/NSSjt5r3iT3PnqLul282eQ3MnQONoqZnVjU0fvHzGNcvNXVG0H+fPpyj7GRnDk8pclTc7Is6bxf2VlVCbdjeKcJf5fmYtlS7p3njej8X93lah3yw77VVxWqRTKR0kM/Pal0ytbA5m5tO2eo6t/Nv1jC2NHpgoOXEw+d1czZRQWCls771Z1VH8hJhVdOyu8Dtzwf06FfnJYkbT8wnN1vVSPaGc4OJkePTJUcZC3NrejQXeYxdpw74iqUym/gO3pkuuEDOWxMx+4b0/zUsoKhgM59vMvXTmb/MHN2UTPjiwoELO27eKv2XrTF1TrkH5AszcUUigR1/mU7tXXvYNXLyJ++snr/sFGYg6EzWl6IK9IR0jmXbnf1+9kp16dmC5rF+2F6bF4nH5qQJO2/ZJs6uiJV/27+CYdyB9NTZ+Z16hFzovDApdtdjRnzm4hPnik9rXri9JxOH5oyj/HY7Yq4qFTJry4+c9gsY8veQT36SXtdva7yTzg0+uI2KG1+ellH7jHj4t0XblbPQPUBZn4/vbGjM9n77cxJgkQsqc7eqPY+2uW+NHPCfvzErO8naMeOTWv82Iwk6bzH71AoXH2l6/D23myl59xEY/sCejH2XpxZ0XyV05HbEaEUPJFKpvXQT08olUyrd6hTe1zuMCVp8+4BSabvxJ4LN+vRT9rjagBjftfKNrg+/MtRPfyzk55VC6x+Uzjn0u2uBhRS7jlOnJzTPd87ovmpJZ09MaPRo9OSpHMfv0Md3e6ec89gZ7as+xffPqRTByd9GXjHY0k99NOTsm3zxrFtf/VBguT8r8wg6+i9Y3rwJyfWzBuPryRMNY9tqkzcHIysfowj94zqoZ96tz00wtzkko7dZwK6PY/e4qpqTJIi0ZCGMlMJol1hXfSUvdp9wWYFAu624968sO8X3zqk0+vY5mzb1sGfn9bKYlyRzrDOffwO168rZ8A1M76ou79zWLNnFwsOhs65ZJurwFTKXDkpc3bx7tsP68SDZ5WIJfXgT08qlTSh+Z4LNrtappRrwH/60JTu/+FxLc0VTqlJJlJ68CcmoOsf6dbuCza5fgzn73HqkQk9cMfxbMk/UI2JU7PZg+dzH7dDnT3u3pOc/mnO54952n5t2z/k+nU9tK1XwUwPqoHNPbr06edkp3S5kZ2+MrGku28/VHUfw2Zx5vCUJk9nDoZ+daciHdUHIpL524WjISViKf3iWwc1etSfsHplKa5H7jQnKrfsHczu+6qVHyge/MVpPfLzU2tOgqw+GepUo1YrEMhVID38s1M6+IvT2al12ceYj+ngz3MnIoa3u9sGA8FAdr3C0aAe9YRdOueSbVVXHzo6uiLZavS7v3tYxx8Yb5kK8FaRiGfGxWlbQ1t7tePAsOtlONv88QfG9cCPj2tlMa5jD4xrbnJJwVBAj/rVna63nZHtpkfb8nxMv/jWQVMZ6MM+YGFmWYd/mQnoHrXJ1cwXKXNBp8zr7b4fHdORe0YrzqyoBy/G3k6hxr3fP6Kj943RG64Iy+Y0al2tLMWzCXErW5he1szZRYWjQT3mCnfVTQ7btjU1Oq/OnqirapjV0qm0jtw7prFM0BMIWtq8e7DqBqulLM3FNDU6r0AwoEuu2KfOGtfxzOGpgsGEZUm2Le08f0S7H+X+INes24oO/uJ09jLcnT0RDW0zDTbrZebsohaml9XZE9FjnrpPQRdnPxzptK1j943pzJEpyTYDxM27B7KX+54eX9DizIq6eqO6+Kn7XL8RS2Z7OHrvWDb4M9vDgKuzNc1i/PiM4itJDe/o03k1hDeSlIynND22YK5MtY6/wWJmm1tc5za3shTXxMk5WQFLFz15b/YS2m6Nn5jR0XvHsle2swKW7LStrXsHtf+SbTUtc2UxroO/OJ29cpezzHA0pEuett/1waFk9nMnHjqrU49MmukilgmqnGXNTS1pbmJJkQ7zGG56RxQ8xoNndeqgeQzLkjbtHnB1dh/tybZtnTk8pXTK1o5zh7XnQvcnmCTzul6YWTHT1l2G3vkWZ1cUX0loYHNPTfs7x8TJWR2+ZzS7fxjc0qPufndBdSOk07bOHJqUbUv7Ltqibee4P8iVTPXGoV+czgbU3f0dmb+pl2tbaGp0XktzMfUMdOiiJ+91VVngSCXTOnLPaLbSORgKaPPugexYYPLMvJbnY+od6tSjn7S3pm0tlUjp8D2j2emNwVBAm/cMZKe0T56e0/JCXH3DXXr0/9ojq5bHSKU1dXpeA5u7a9qnO1aW4jr0i9OazVSNRDpD2rSzf12vDXhndmJR81PL6uiO6DFX7KtpnGmnbR29f8ycGLBz4w5JOv9Xd7oORR0z4ws6dPcZxZZMsNs33OU6XHHr7MlZxZYSGtzSo0c9YVdN22kiltShu89k+3uGIkFt3j2wrvcVt7wYe8dXEjp015lsE/twNKRNu/rLPo9t5wxX3buqFRBK1dnc5JLu/cHRRq+GPyzp0f9rj6upJvW0MGNKaFf3b1qv8351Z7aBdq3iK0kdu38sOwga2NStC564e10DC9s2U9SO3T9e9SXn1ysQtPSYK/avK0SUTMBx5J7RouW5wVBAj7linzp71vkYs5nH2OCXBu/siegxV+yvKaDzmpfb3P5LtrmuhFstEU/pxIPjGj1iAsj1HAw5bNtcSvnovWOKryRlWdKjn7R33YO5lcW4jt47pqkifW4sSyagG1rfYywvxHX03tGSV/IBSukf6dKFT6ztALxZJRMpnXjwbPYkyEYysqOvpirSfHba1uiRKR1/8KxvFTahSFCXXLG/6t5JpcxPL+vIL89kT7zlW8/J0HxzU0s68svRog3h13Miwmu2bS7AceTeMd9bNqCyQNDSxU/Zt+7Qe2kupiP3jGavJr79nCHtvWjrupaZSqV1+uCkTj084dtU5mhXWJdcsT97srlWM+MLOnLPqJYXGnMlPq/G3lOj8zp671jFvqKS9LhnHXA9e2YjI5Sqs5XFeLYMvtUNbe111XzPD84BpVfBVP9It4YyTUO9MD+1pNmJJW3dN+hZ5U4ykdLokensFcfqxjLTItzMly/HGWgVhEaZKhKvzmjbtrlyzfwGDaaCoYC27B1c9+Dba+vd5noGOzWyo8+zs72LsyuaHp3X5r2DnlUHpZJpjR+fUUdPRIMuS9DLmRlfWBMaDW/v8/QM5vT4gmYIplClUCSobfuHNmQ1aTWW5lY0fqJyY+tmEekMaeveIc9ORCRiSY0ena77ySvLkjbvHsxO5Vwv27Y1cWpOC3k9WayApS27B2quXC/2GGdPzmYrgLOPsWdg3SfGvJZKpjV2bDpb+YLmMLKzv+aK79Vs29b02IJiSwlt3Tvo2UkCZxZPvcPpQNDSlr2DrluxlJLO9KBd9rklgddj73QqrbFjMxWDqZ3nj7i6yvtG15ShlG3bmp/fuFdJAQAAAAAAaHe9vb1lTz43Zfw2Pz+v/n53zQoBAAAAAADQPGZnZ9XXV7r9DZVSPpibm9OuXbt04sSJsv8MoJmxHaNVsC2jFbAdoxWwHaNVsC2jFdRrO96QlVKWZbXki7mvr68lnxfaC9sxWgXbMloB2zFaAdsxWgXbMlqB39tx4y/fBAAAAAAAgLZDKAUAAAAAAADfEUr5IBqN6oYbblA02lyXkwXcYDtGq2BbRitgO0YrYDtGq2BbRito1HbclI3OAQAAAAAA0NqolAIAAAAAAIDvCKUAAAAAAADgO0IpAAAAAAAA+I5QCgAAAAAAAL4jlAIAAAAAAIDvCKUAAAAAAAD+f/beO0yyq7zz/95QOXUOE3pyzqNRGEkIkMggBEIkiWyDMMYGjPGuvezP3l0veJ0wYMASCCSSACGCAgiU84xmNDnHns6xunK64fz+OFW3q6aru29VV1fq9/M8PGi6u845t+6J3/MGouyQKEUQBEEQBEEQBEEQBEGUHRKlCIIgCIIgCIIgCIIgiLJDohRBEARBEARBEARBEARRdkiUIgiCIAiCIAiCIAiCIMoOiVIEQRAEQRAEQRAEQRBE2SFRiiAIgiAIgiAIgiAIgig7JEoRBEEQBEEQBEEQBEEQZYdEqSqAMVaSMkpVTr2zEJ5xNug7ME85vqt6fB/1+ExE8cxHfyjVulfpOsy0oRrKWCjM13dVS++gltpKTFJL+5Vq7mPV3LZyUA3rXimoh2dYSJAoVUE0VcWP//bzeOB//x10TSu6nFgoiLs/8zE88d1vzak9wxfP41uf+ABeffQ3cyqnmgmODOM7n7wDz99/X6WbUhE0VcWP/vvn8Mt//DJ0vfg+txBIJeL4/ufvxMP//tV5W9iSsRi+95d/ike/8S91tXgefOxhfPuTd6D/9MlKN4WoAg798Xf49ifvQN+p4yUrMxYM8HXve3Nb92YiMuHHXZ/+CJ6+7+55q2MmlEQC3//8nXjo374yp/khODKEb3/yDrzwsx+WsHX1yUj3BXzrTz6A/Q//qmRlMsbw4Ff+P/zov38OqUS8ZOXOB3zd+xQe+do/1dWatBA4s+cFfOtPPoBz+/fOWx0nX3gG3/qTD+DCwX1zKuflX96Puz79EYz2dJemYSWk+/ABfOsTH8CJ55+udFMqQsQ/jv+688N45r7vVropcyIwnFn3flTpphAmIVGqggRHhjF84Rx6TxzFqZeeK7qcgdMnEfGP48iTj2Ho/Nmiy+k+fADJWBQv/PxHiAUDRZdTzfQeP4J4OIR9Dz2IiaGBSjen7ASGBzFy8Tx6jh3G6ZdfqHRzqprR7ouYGOzH2VdewqXDB+aljuEL5xAcHsLpl55D7/Gj81JHJTi3bw8S4RCe+/H36WBD4Px+3h+e/dE9JesP/WfS694Tj2H4wrmSlDmljlPHEQ1M4ODvH67I4WnkEp+Dzu17Gd1zmIN6jh1BIhzCK7/9JQJDgyVsYf1x6chBJKNRvPiLnyAamChJmUoiju7DBzDafQGH//i7kpQ5X4x0X8DE4ADO7H0Rl44eqnRziAI4/+orSEajeOaH34WmqvNcxz1zutg8+8pLiAYmqlIov3BwH5KxKJ790T1QkolKN6fs9J06jlgwgAO/fwhjVSgamqXn2OH0uvcArXs1AolSFSQWChj/vedXPy96gs8u5+UH7y+6PfF0OWoyif2P/LrocqqZWCgIAGC6jr2/+kWFW1N+4sGg8d97HvwZWUvNQPa4eunB++dFXMkduz8tefmVIjPOBs6cRM/RwxVuDVFpYul5Z+jcmTmJK9lkz2VzWfdmIvtyZs+DP5uXOmasP3t++OVPi56DMs/BdB17fv3zErSsfsnMXWqqdPugWFZf3ffwr6AkqvegmzOufjk/6x4xP2T6bnB4CCdfeGZe6sicEyYG+nD6peeLLifT1guvvjJvlwrFkhmvsWAAR574Q4VbU36y56uXf1W760U8+7z3m4V33qtFSJSqINmL/1wm+OwJZC4TfHY5h/7wqLFo1BPZh4wTzz+14NTz7EOOv78XZ8haalqyx8PgmVPzcmucXUffiWPoPX6k5HVUguxx9tIcDtNEfZAjrjxQmv6Q3cfO79+L4Yvn51zmlDqy1sAze14o+61x9h5h8OxpXDpysKhysp/jxHNPITA8NOe21SvZ/erQHx4tidV4dv+Ph4I4/Hj1Wktlt3Xg9Am6VKghsvvq3l/9fE5hQaavY+4Xm0zXDcEAAF6ugOA/E/GsMbDvoV9CSSUr15gKkP38Z/a8gLHeS5VrzBzIOe/RulcTkChVQTKLvyDw1/BykRP81HKKuzXObFwFQYSSTNSltVT2My7EW+PMhiLTV/b86udgul7JJlUtU8ZViQ7T2cQvr+OX82PxUU74hjMEgD/XwOkT6DlGB5uFCmMsZ94ZPHe6JO6w2XM5MD9jJ7OpNeoo863x5fUXK/Bml8N0HXsX2LpXCNn9Sk0lsa8EsaUuX3f3PfyrqnULurytLz9Ilwq1QnbfDQwPzou1VHYd/oG+osJAJGLRScFMEHB+/555uVQoluwxEA1M4OgTj1W4ReUlZw5grCJWwqUgu6/qmoa9vyZrqWqHRKkKkhn4a6+5DnaXm1tLFTHBZ8rZcuOb0hN8cbfGmY3r1je8BQBw6LFH6s5a6vJnXGjqeUZoWbv7ethcLoz39eDM3hcr26gqJTOuNt5wIySLZV5c0TJ1bHrdTRAlGb0njqLvxLGS1lFu4pEwGONC59Y3vBkAuYEsZJKxKHSNxzfJzLulcIfNzOWT694ejHRfmFOZU+vg4zPTj8t9a5xZfzfecCNki7Voi81MOdnrXnBk4ax7hTBlH/THuVuNZ9bdZVu3w9fWjlgwgMOP/35OZc4XmbZufC1f9/pPnagbC956hjGG+GV9d8+vflZSayld14wLJ6OOIi7TM2PM5nRh/bU3pMupngu5y+fLVx56EGoqVckmlZXMHJBZ907veQHjfT0VbFFxTD3vPYngyHAFW0TMBolSFSQz8Bs6FuGKt78LQHETfMbaYsmGTXOa4DMT8ZYb34S25augJBN1l4kv84yrrrgKy7ftXHC3xplDVmPnIux86y0A0oIBWUtNIdNX2pavMBa1Ut8aZ+aA9pVrsOXGNxp11DIZs3y7y42rb31/+mBznA42C5TMnGN1OLD7tg9OiitFuqIZ5ab72ZKNm411r9TWUpk6ujZvw5qrri37rXFmU926LGsOKkLgzRxWV++6Gsu27qBb4xnIvPNNr7sJ7SvX8Bibc7SWyowBd1Mzrn73+wEA+x56sCqtpTJtbVu+EltvSovI82AlTJSWVDxmBDe/9n13wO7xIjA0iFMvPluyOhKRiHHhdN37PwSby8XDQOwp7GIz45bs9Plwza0fAAQB5/aV/lKhGLKFt6tuuQ2e5lZEJ/w48uTCiS2VmQO6tmzH6it3A4xVnYulGTJz+eorr5lc9yi2VFVDolQFiWVNzDveerMxwZ/d+3JR5Th8DTkT/Oili6bLyPbxdvoasPu2DwIADj72CBKRSEHtqWYym/PsZzzx3FMIjY5UsFXlIyOCOL0+7HzbO2Fzcmups/sK63MLgUxfcfgacNU7bzNujftOlC5LXvYccNW73gtRktFz7Aj6T58sWR3lJpb1vXmaWrDlRn7bVqsm4MTcmJxzGuBqaMy5xZ9TuZm53Ju97r1c0ix58ay2X/OeDwBI3xr395asjpmIhSbnhyvf+R5usXn6RMGZOjPlOHwN2H3b7QCA488+idDYwlj3zJJtbeLyNWL3bfydH/rDo4iHQ0WXm73ubrzhRnhbubXU0af+ONcml5zstl55y3sgyTL6Tx1H38natuCtdzLzocXugNPrw653vBtAaUM0ZOqwuz1weLy44m3v4nU8+LOCRMtMH3N4G9C8ZCnW7X4NAB4Hq9JkC2+uxiZc/e73AgD2/fYBaKpSyaaVjew5IHNOOv3y8/AP9FWwVYUTyz7vvYc/x/FnnkBobLSCrSJmgkSpCpI98G1Ol3F4KzQ7kbFx9frQvGQpVu7YBQAF3URn+3g7vD6s2nU1Gjo6oSTiGDhbuwfkbBhjk5tzrw+L1m5A59r10DUNPQvEimNSBGmA3eXG5tdz65xLh+dmtVCPZI8rd1Mz1l/7WgCFj8+Z6wgYdXhb2rD2musAAJeOlK6OcpP9vQEwNse9J49BVRbGpo6YJG5cmvD+cEW6P/SfOjEnS5FswabYdW/WOrLa3rZ8Jbq2bAcYK1uMtGzhzd3UjPXXpeegAuYHpus539XidRvQuWYddE0rWNyqd7KtTRxeL1buvAqNnYuhJBMYOHOq6HKz111JlrHzrTcDKO1aUiqy2+ppajH6XCnHFVF6si+4AGDHm98OSZYxMdhfMvHZqCO9tu982zshiCLG+3oQmRgvupzMHqH7yIGKW+RlC2+SLGPT694Im8uFyIQfY72158JWDNlzQNvylejavI2vezWU9CA7tqnT68Pi9RvRuTqz7i2M814tQqJUBcke+ADQ2rUcABAaNR/rIdvUNFNOS7qc4Kh539lsH2/ZYoEgCGhZuoyXUyc+uMnopPCWWQxbly4HUD/POBuXCwbF9JWFQvYtCwC0dJV+PFw+Bxjvo4b74+T3xvuYt7UNFrsDYGzBWCQSk2RbSgGAp7kFNqcLAIruD7quGZYrxtgp8XqlKgqSsWhOHa3zMAfMRLaYxOtfXnD9iWjEsJSYMu9TXKkcsq1NLDZ7yfZB8azLBwBoqeJ9x5Q9Qp3tA+uV2GV9zOpwwtvWAaB0786oIz0f2pwueFtaC65jshze1ualXQCAVDyORCRckrYWy+WCmWyxoKlzCQAgtADGgJpKIRWPAZhcs2vxnJAd29Th9QKYnz08UVpIlKogly/+vvQCEhguYMOZZWrq8HhzygkWEMA7ftktS7HlVDOZhdDqcEK2WgEAvvbMol0fzzgb8cuEloY6e8elQtc0xNObI2N8lriv5Fv8G+qgP07Oaw0AAEEQ0NDWDqC2n4sojstv8AVByFrriusPiXAYSN+oG+teicdOxp1dlCTY0yJaOdfEfMJbMfVnvn+bywVJthRdzkLg8r4KlKZfZYdYyC4zNDJcVfEcdU1D4vI+1059pRa4/IILgLHuliqZz+WCDTC3OSnTVovVBndjU8HlzAeXC2/A5BgILID9Syxr3bO5yr/ulYrs2KZT1r0F8B5rFRKlKsRMi394bNQwIZ+Ny01NgcmDbaCImwtH+iCZ3Z56GcCXW3AAtTnZFoumKkhEeXwwx2VCS2hspKRZWmqdeDjED72CYBx6MwJeIeNqJupl8b+cvOOMDjYLlsstpQDA1z43kdJY9zxeiJLEyyzx2DFio3l9EES+VSrnmlgq4S3f91/MHmEhcLm1CVCag8zlF5Ce5hYIoghVSSEamCi63FJjxM0SBNg9HgBZl6V1sg+sV/L23ZIL9bwORx7Bprg5aWpbK93PSiW81SrxrLlKEAQA2etF7Tx/dmzTDPV2pq1HSJSqEPkWf1dDI2SLFYzpCJsMxJZ/AuUb/tDIkOlbuJnKqZeJ+HILDqA+LFPMknHzFAQRDjfvc+7GJkiyDF3TEB4fq2Tzqgoj9pjbk3Xo5eMhEQ4hGYvNuY58i3+mjsiEH0oqOec6KsHkXNJg/CzzXLW0qSFKQ17rkzlu8i8/5OeUOVoa65MZ6xgZmvfYJ/mFt/QcFAkbFwyzlzPD90/jMYeZrE2K7av5QixIsgxPM3d7qqY50TjIebwQxVyxNx4KGpa9RPWRr+/6Wku7h897TiiijnK0tVjyC28Lx9I7r5iTtV5XOuaXWfKv39XRx4jpIVGqQuRb/AVBgNdwczF3g5nP1NTT3ApBFKGpKiIBf4HlTLPJr5GJaCbybc4z33c0MFGV6ZlLyWSQd69x8y+IIrytC2fBNcvl8aQA7vaZsVgoxXeVb/G3uz2wOpwAgNBIbcZfujwODrCwbhqJXGayPin2QJ7PGi9jfaIpSkmsT/LNAZmDUyoen1M2NlP159lUW+0Ow8q14D1CHpE4WsPi93yQr696s/pqMfugfCEWAKChPXN5WD3WavlEB5vTCbux7lVPW4lc8h7C2yf38KWpI8DryGd9UkgM2zK0tVjyC28LR8TP9268bW0AeCKISsf8MstMnjGRCT/UVKoSzSJmgUSpCpFv4gMKt9zJV44oSfC28knE7CFwppuLcmzAy0F2JqMMdpd7zkF3a4V8hywg26SVNpwZ8i3MQGnNf/PVIQhC1uasNjdA8bzuWtWx4STKz0zWJ8UeyPNZvUqybATdLYX1Sb7xKVutRuyT+RYT8m2qgUk3YrP157uMqQfxez7I11e9rW2AIEBNJg3r1sLKDADIDbEAYM5x1eaDfKIDkGUtRnuEqiU+i4VLKcg3lxQTl/Ty2KZA9Vxc5RsDmXNZaHQEul7fYS7ynRMsVhtcmZhfNTIH5NsjODxeWB0OALQXrVbmJEr97ne/w86dO7F9+3Zs3rwZ9913X6naVfdMt/gXeoOcz9Q0u5zCb1Mv24A3NafLqZ6NU7Hks+AoRdDdWmFaoYVcOaaQb4MHlHbjNJ1IWOvB5yeD+ua3lKoHq0vCPDPdihdrfZLvcATM1/jML0zPt9tVvk11MfXH88SLzBG/ad43yCtEWizwNLUAKG6PMN0FZDWuu7XUViKXmdyN4yUKOTBTLCizIQfyxTbNLqfSfSzf2uJuboYoSdz7xG/O+6RWqZdzQr71O/u8VyvPsdAoWpRijOFDH/oQ7r33Xhw6dAiPPPII7rzzToTDtWHaV2lmXfwLtXC63OKqQKEl3w1hMe2pZgyhYcomf2G4r00vgpQ2Q0s9MN3CXMoAweWwxio3qqIgGYsCmM7qsnbMv4m5ky+hB5BrfZKZlwohn0saUNqxEzfcnS+ro0xrYqmEt+nKKXSPsBCY9jJiDnuEaS8gq3Cen62t1Feql3z7O5uz1CEHpp4TCrW6zBfbFMiyAC0g0dN8kE94E8Us75MqGq/zQb2cE/LFNgXq60xbj8zJUkoQBAQCAQBAKBRCc3MzbDZbKdpV95Rqo1K6cmZzJ6x9U8d8llLAwpmk6lEEmS+mtZIo4S3LtO6UxmGx9sZc5iAvShLsabdY4DKryzofZ8Qk+RJ6AIAkW+Bp5tYnRR30K2kpVaab1umFt8IEknIIePXCrFYCJbSUqkaLWLKUqk10TUM8fdkzX/s7NZUyAt0752B1mS+2KZCV6EnXK5p0ZyFc0M9EvZwTpj3v1dhzLDSKFqUEQcDPf/5z3HrrrVi2bBmuv/563HfffbBaraVsX90y/eJfWHaA6TfnhZWTz8cbgBEEu1bU8ZnIF1MKqM10p8UwmwhS74ttIUzrOlPC7B3TH4Bq13LPCN7u9eVsOAHKwLcQyZfQI8NcDuXTCi1GHyulJWNuHeXK2DqbhVPBcScrJK7VErO5VBczd00XYsFbhZlWpw8rQVmrqpl4OAQwBghCTjB9oHRZ7WJZF042lyvnd74CzgnTjTGedKewWLilZjrhDVg4mbrr5ZyQL7YpkLVHqMFL34VA0aKUqqr4x3/8R/zqV7/CpUuX8OSTT+LDH/4wxsYorbwZZlv8E9GIqZTP+UxNeTnpCcREMLfpfLyB7AB/tTERzcRCt5SadEfJ//ylijtQD8xmJREqQdp5M4t/rcVfmk5oAxbOOCMmme7yBZhbbKZ4nrhlQHYQ8FK6quSfA+Z7Uzu7hZO5oLvTldNAQkMO82VtMt0YyA66Wy1JVqYdV1mJKua67hGlx7A+cnsgSrnif6mSjMSz1nZBEPLWYeacMOMeocJJXmYU3haIu3PdWEqVYY9AlJ6iRalDhw5hYGAAN9xwAwDgyiuvxJIlS3Dw4MGSNa6emW7xt9odxiHVjMvctKam6QkkOuGHkkzM3JaMj7eY6+MN1LYrUTaaqhqxbKZ1dRwdrjkRoBCmE0FKHXegHpjOSsLT3DIZ8HJibgEvp1v8M/F2lGSiqGxPlWS6PgaQZcZCZLrLFyBbpCx8bZlNsJmr9QljbNY6wvMc+2S6PYK7qRmiJEPXVET84zOWoakKktFMjLfpA7bX87pnlhmtTUrRVy+3DKnCoLvT9XlPcysEUYSmKIgE6jvQcy1iat2dq6XUNPHWgOz4dGbOLLyc+WxrsZgR3qplrM4HjLFpvWayY37pWnVnIJwutimQve7V93mvVilalFq6dCkGBwdx8uRJAMC5c+dw/vx5rFu3rmSNq2cyi78r78Rszn0nx9T0snLsLjds6Zgus93CZR+Op7jclGkDPt9kYptcHlwRAE8jPoegu7VC5j3P2OcoTSqALLG3oSHn56IkwdsydxPznMX/sjqysz3VWiy3SWvEhim/q6f4dIQ5prs0AbLnnMLGkZJKIhWPAwBcl42dQoPuTkcqHoemKACmijlG7BM2v7FPptsj8KC7rQBmH0vZN/92lzvnd56WyWDztSZ+zweGtYnHO9XaJN1Xw/4xaKpSWLnBmdbd6rIena6topQd6Jnm72rDzLo7V5fmGfePRcSUms+2FsukYNY45XeGG2Qd9/9UPGac8y6/DHE1NEKyWNIxv0Yr0TzTxGdY97zpdU9JxCdjXhJVQ9GiVHt7O+6++268733vw7Zt2/Dud78b//mf/4murq5Stq9umS4zAGB+ozK54ZQNASpD9i3cbOamk7GWpprT5mzAx6p7IpqJyVg33inC21yD7tYCjLFp3VGA6tscVxIlmYCS4IfevOOzBDHIchb/vGbstRl/aaa5pNqsAoj5Z9JKZKY5p7BNfmbDKcmyIUBlKDTo7nRk2m2xO2Cx2afU4Z1n17ds4W0uFgWGC0OeC6ds8bveXVLMMNPc5fQ1QLbZAMYKdrWLGTGlZnBXqoI5UUkkDKt62iPUFnET625oZGhOrpem1nYTIQfMllMJpgvxAUyO1VgwACUxs/dJrZJ5N1aHAxZrbtIyQRQLih1WSbL72OUWb5R0p7qZU/a9D37wgzh69CgOHz6Mo0eP4vbbby9Vu+qa2RZ/swH14lkT6OUDDzCfpce4Icyz+c3e5NfaATmbmW5ngOrMhFNKlGQCatqdZSahpRo2x5Um484qWSxGzI9sShGIfKbFn9dRm/0xPsM4M+JO1LjVJWGemS5fMutc2D8GVTFvfTIZK6Ih77rXUILYHzMJ+MD8B72dSXgrpP6ZDqtA4Zn86pmZ9giCIBS9R5hxDFRReITM88sWKyz2qeteoQH2ifIxU98tVciBmc4JhYQcMLNHqFQfm0kws7vchtVNvY6BmeYqoPLvxywz9VVgbokriPllTqIUURyzLf7eNnNq9HTZ5DKYv03NlDPNxrUOAqLOvjmv70kqs9jINhssdvuU39eqCDIfZI+rvGJvCb6rWRf/Gs3AZ8rqssIpn4nyMZOllMPr41ZIBVqfTJfcI4O3FKLxLHX45nlTO5vwZtoKepbLGJr3JzG/RzAvIOWGWMhnGVI983y2RVe+Pjff1oFE8cy07oqSBE9L2t13TnuW6euQLRbD+sT0uWWG8ZCIhI2YQOVkNjGjmDmglpjJqhOonfViIZxp6xUSpSrAbIu/EVBulvg+M5maAuYz8JneuNZwvCHzm/PafcaZmE3ArLQvfzVhelzN4buabfGvVcu92awN6GCzsIjPIL4W62o3U5wqINuio/jxGZ+ljvnenM8qipn83mbbnNON8SSm9wiF9NUZQiwA2e+x8kF3Z7sooT1C9VKOPbxpbwOz5408/cxqdxjhDCoRu2l2MaM292VmqZc5wPxcXt3PsRAhUaoCmDeRnDnl8+wbTnMHwIUwEc/6jDVillosZoWWucYdqAdmHVeliFljcg6otcPidOnPM8y32xNRXcxkKQUUt7aUYy6v9Hoxm/BmdlM967xP49FgPvZBs4VYqKagu6bHKvWVqmMyM94s4nMpLKXmMJfPFtsUqOyF3KxiRp3Pl/OxXleCSq/fRPGQKFUBZhv4ZlM+mzc1nTn44Ew+3tnl1PIANnvLU2sigFlmm6RLFXegHjB7yxINTBix4QqvI5CuY+bFPzxeeLanSsEYmzb9eYb5dnsiqovZb14LD+hfiEtasdYns68X82vxZ1YYjwUDSKWTMuQvJxPovCHv7+vdQrgQZn3nRVwUzGahXE1Bd81elEQn/EWve8T8MJP1EVAioX7WOmZ3RZ0ttikvp3J7hNmEt3qPq1YvMaVmPdPW+XusZUiUqgCzDXxRlOBrmz3t/Gwb10zwQTWZNP52xnKmnYhr3+VmMvvezD7GEf94QUF3a4XZJulSxR2oB2brK3a3GzYXd8Uo1vx3tjlgLtmeKkUqHoeWHjsOrzfv39TKTRsxd2ZL6AEA3tYirE9Mrntmgu5Ox6xrayb2STSCRDRSVB0z1j/LfG1zurKC7k4/B80ufvPnKDTYfD0ym7VJdhwSs2LnbJZqQPVciMVn6St2l9twQayVNWmhMJv10VzXXcbY5Lw7Bwun2WKblqKtc2E24c1svN9aZXaPisrG/DKL2Uud8FjtXPouFEiUqgCzLf6AOYuC2TaukmyBp5mnfJ5JEZ71BiTdlkQ0gkSk9BvwcjDbd1Vs0N1aYbZJGqiP2GGlYLa+Asz9pmW2xT8n21ON+L1nDsAWu4OPpTxkx1Ah6pvZEnoAWe6cBcw5s41P2WKBp4mve8UeHmazQrbaHUb989GXZxPeAHNjqRDxOzxWf+teIcx6IG3lF4WpeMy0EFnQuls1llLTr0kUi6X6UJIJKGlrydliARW7X0nFY0bG3Gkvdk1YOM1mOcjLqUzw/0KEt1AVxICbD2Zbdyod88sss+0RnL4GyFYbGNMRGhstY8uI2SBRqgLMtvgD2bdyM204A7ycGcWt2a2cZrtlsdjtWRvw2rwhMLXhqhHT1GIwI7SUIu5APWDuIDE360Ezh85SZBErJ7PNI0B1ZZsi5pfZEnoAxbnaFbR+FisaFzIHzENfLkgYn2ltn+UCLEf8XvDz/iz7IJsdrsYmAOa/q9nETaB65kRzfa6+LUVqkXiIxyKTLBZYHfnF/8xeotiQA5n50OpwwGK15f0bMyEHzFgO+lorsw83I7x5WlohCCJUJYVoYKKczSsLhZwTqnm9MCew174HUD1ColQFKJUlRmYxmvHWYZabLSUxu483Lyc9gGvUima2WDdA9dxYzgemDll1LMoVQmHjs0j3vToUCWfLGAbkmn/Ph9sTUT3MZqUDAN62LOuTSNhcuYXM5fM4PudzvTAlvM0yXzPGzO0RaiSj0nxixtoEKNxCtrB1t7LfP+0RapNs66PpxP+5ul6amcsz1idgbFrrEzN9LGPVFRqdOdFTqTEjvEmyXNdhLgqZAyrtbjwdZmKbAtmXAQt33atGSJSqAKVY/HMHXvHxCjJlzOTjDdS2YKMkElCTaeFtpu+qiKC7tYK5G9vafcelxIwVUzFBb7OpxwNAfJaMYcD8uz0R1YOZ9clitcFdgPVJdvam6W6zgbm5gOi6ZmRCMzMHzI+lVIDXb+bGepr6c4MKm3Afq5F5Zj4wY20CTMbXNHtRUA5X8FJR0B5hAfeVasOM9VG262Uxl1zZVq8z1zGz9clssU0BwN3cPJl0x1++pDtmhDdg8pxQb2NA1zTE0xdDtXx5bya2KVB7++uFAolSFaCwxT//wS134BV/sDU/EdfuADaEN6tt2lg3QPVPtnOhkBuqWnzHpYKLvfNrJVH44l8b4o2ZPgZUj7sKMb+YXVsKuXlNxqLQNTVd7uyXMcWMz0Q4DDAGCAIcnhk2tfNkyWhaeJul/kwZFpu9bi+cSoUZaxOg8IOMmRAL1RB0l+l6lmAw07gil5dqw/S6OwcxpdC5fPrzRiBdzvRtFUXJiN9Wzj2CGeENmL95v9LEwyFj3bN7PNP+XaVifpnFTGxToDbcEBciJEqVGdOL/ywpnzMDbyZTU8DExtXEbbaZcqqZ7FgRpjacw4NlaVe54H0uffNvQgSJBiagJAqPO1APJKNR6Bo3GTcn9hYe8NLs4m9YYw0P1kRQTTNiHpA1lwzV1zgjcjGT0AMoTBTJzOVWhxOy1Tp9me3Fr1dGFja3B6IkzVpHqTe1ZoW3TP2hkWEwXZ/yezOCCJA7zyxUzFibANl91dx3NVvwdF5nVtDdCiVZScQm1z2zrju1sCYtBAped4sY52bPCbOFHChHW4vFtPBW4BxQKxjGEh4vRHH6da+hAu+mEMzENgXmtkcg5g8SpcqM2cXf5nTB08x9ly8dPTTl92Yn0KbFSyCIIiLjY/AP9M1QzswDuKVrOQBg4PTJmhMszMS6AYCWpcsAAGO9PYhMlM9seL6JR8JgjB9aZrr5t7vdcDc1AwAuHTtclrZVG5m+YnO6IFss0/6dt6UNFrsDaiqJgdMnC6zD3OLva+uAbLUhFY9h+PzZguqoBGZvbDNzSc8C7WMLhULXlnzr3JQyTR6OmhYthSCKCI+P5l33Zq7D3MGpeUkXIAgIDA+W9NbYrPDmbWmF1eGAqqTQf/rE1HJMCCJA+jkAjPVcqsvgvWYodO4aOHs672VhNmayeQHc7amli+89Lh2tzJyYeX6bywVJnmHda02ve8kkBs6cKlPriJkwRPRZ+m5rZt09erhgQdHseWO2ubzgPUIZx4PZtSUzVnuOHylrzKv5xuy7Mda9ocGqDMFQ6HlvtOfigl33qhESpcqM2cUfANZd+xoAwMnnnp5ajklTU7vLjRXbrwAAnMhXjrFpapixnPaVq9HQ3gklmcC5fS/P+LfVRsxErBuACw2da9eDMR2nXny2DC0rDxnLPLvbA0mWZ/zbdbszfe6peW9XNWLWukCSZay9+loAwInnC/uuzC7+stWK1Vdek65j6titNsy4JQOTfazn6GFE/OPz3SyiQpgVd9Zdcz0AoPfE0VnTM8dNHo7sbjeWb9sJADhZ4NgxOz6dXh+6Nm8DUNrxafZwJEoS1lx13bT1G4fVWa1/2tG5el3drXuFYLavti1ficbORVCTSZzd+9KMf2smm1eGzJxY6FpSKsyOK0m2YM1VuwEAJyvUViIXs3131a6rIVusGO/rwcjF80XWMXM/Xn3lNRAlGaPdFzDW0z1tObPtEdanx8O5fXuQiscKamuxmBXelm3dCZvLhYh/HL3Hj5ahZeXBbD9y+hrQtWkLgMLX1nJgJrYpwC99O1avBdN1nH7puTK0jDADiVJlxuziDwAbX/N6AMCFA68gEcnNVFVIORvS5Zx84ekpZv6Tt6kzLzaCIGDDa14HoDYOyNmYvUkCgI2vuRFA7T3jTJg9ZAHAxhv4858/8MqCzI5mbJoKGFdnXn4BqmI+FojZxR+YnANOvfScccCpVsz2s4b2DixatxGM6Ti5QA/BCwGz/cHb2oYlGzcDjOHkC8/MXKZJwQaYHDsnnn8mr3vb9HWYOzhl13Hy+adL5s5U0B7hhqw5KJXKLcekpRQAbEiXk+/iaiFgdo/A90GZfjXzd2Umm1eG9de9FoIgYvDMKUwMDZhrdAkpbFzxPcLpl54vaN0j5gez86zN6cLKXVcDKHx/ayb5C8Ctv1fu3DVtHWbb2r5qDRoXLYGaSuLMLOJvqTArvMkWC9Zdk768raNzgtl3DAAbss5J1ebGW9B5x+RcTpQPEqXKTCGLf+uyFWjtWg5NVXH65edzyzFp0QHwGxKrw4nQ6Aj6T+Wa+Zu1lAImD+GXjhyqKfe2QkSAdbuvn/GmpxYp5Plbl61Ay9Jl0BQFZ/a8MM8tqz7MuhwBwNJNW+BuakYiGsHFA/tM11HI4r9s6w44fQ2Ih4LoPnzAdB2VoBixbaFa5C0EChN3+CZ3NnHH7G02AKy68hpYHQ6ERofzurfNXsfs43PN1ddCttkwMTiAoXNnTNcxY/0F7BGWbtwCd3MLkrEoLhx4JbecAvYI63a/BqIkYaT7PMZ6LxXc5lqnmLmr59hhhP1j05dZQF91NzZh2dbtACpz0C2krUs3b4G7sYmvewfNr3vE/FDUJdeLzxphREpfR3ouf+GZHPc2s7FNAS7+Tgr+5dkjFCTKZC4D9r4EJVlb4Uymo5B3vPbqayFbbZgY7MfQ+dKse6WioPPetTdAlCQMXziH8b7eeW4ZYQYSpcpMIYs/AGy4Ib/ljtl4EQBPu732moyZf+4Eb9ZSCgAaOxbVpHtbIcr5bDc9tUghz59zE7wAb80LOciJooQN178OQGFuF4UsmqIkYf11r03XUb3vQ9c1HsAd5vrZut2vgSTLGO3pxuili/PdPKLMmE3okWHtNdeZci0pRLCxWG1Yc/X07m2lqMNqd2DNlbvTdZTm8FTIHkEQxaw56JnccgrYIzi9PqzYUV/rXiEUskb62jqweP1GgDGcemH6fZDZEAsZJg/hz5Td+qCQPi+KEtZn+twC3CNUG4WIKcu37YTD60MsGMClIwdN11HI+Fix80rYXe4p7m1mY5tmyMxrPcePIjw+vfhbKgrZly1etxG+tnYoiTjO7dszzy0rD4W8Y6vDORlaosrmgEKew+n1YXkmvA25I1cFJEqVmUIWfwDYkDbrHjh9IidLQCGHZ2Byw3Nmz4s5Zv5xI+5Eg8lyas+9rZDFBpj+pqdWKcRiAUhvBgQB/aeOV2Ugw/mk8L6ScbHdb4gys9ZRwKKZXcf5/XuQjEVNfabcJMJhI6OgmQ2n3e3Gyp1XAaituYQwh9mEHhnMupZkBBsz7rXA5Fyez71ttjrMXhxNutg+D02duztToXuETP0XD+bOQcXuEU6+UJi7Yz1Q7B7BTF81249WX7kbFpsdgeHBsgcRL3hcpS9LLxzYh3gkPF/NImaBMVZQ35VkGeuvvQGA+XVX1zTjHZupQ7ZYsHY3jxOYbfVXSGxTgMe6W7LBnFt3KSj28rZeXPiK3fuerrLQEoWed7LPewtt3atGSJQqM4Uu/u6mZnRt4cFUsye/aJBnCzB7sF2yYTM8La1IxqI4/yo382eMIVrgAbkW3dsKFQFW7LyyrgIZxgIBAOaf39Pcgq5NWwHUz4JrlkJuHQGeJaZ1+UromorTL5tzd4wW4DILAG0rVqF5SVfapfJFU58pN5lncrg9EKXpMwpmkzGBP1Un4i8xSWbOMZPQI4MZ15JChZalGzdP6942HbHM2mqyjq4t2+FqaEQiHMLFQ3N3sS10j9CydBnalq/ic9BLk27+mYxCZkWRlTuvgs3pQmR8DL0njhXU5lqn0D3C2muuhyTLGOvpxkj3hfxlFiguWux2rEknzyh3EPFCx1Vr13K0LlsBXVNx5rLQEkT5SEYnxX8zMVOByXnWbBDxeDhkXDjZPR6TdaQvA7Lc2ybnI3PtBJBltf/UvFoPFiq8AZPfY/eRg3WRvS2zZpu17DRCS4RDVRVaotC5fNUVV8HqcCI8Noq+kwtr3atGSJQqI7FQEBfSsWc8zc2mPzcZjO0pKIkEnvjet9CX3jR6W9tNlZFr5v8UooEJ/Oaf/zdiwQBESYK7yVx7as29bfDsafj7ua+wp7nF1GfqKZBhLBTEhUP7AZh/fgA5wVyrLZDhfBEaG0HP8SMAAHcB39XGAlz4AsND6D95PF2HuTEnCEJRboLl5PizTwIo7HtbsX0XN/Of8KPn2JH5ahpRAY4/x/uDp8l8f1i+bSccHu+0riVjvZcwdOFsQeXmrnuzz+Uj3Rcw2n2xoDq4iy23PphrjLTQ2KgxBxW0R7hhco+QiEbw6Df+BeN9PQAAb2urqTJkq9WwcKjWeWY+6D70KqLpGJlm90GzWXoqyYRxgVDIGNhgWB+UL4h4aHQEvSf45Vsxba02952FRGbddXh9kC3mxP9Cg4gba3tjE0TR3IXTonUbctzbeo8fwWPf/g8A3ALKLGuvuQ6SxcLduqcRf0vBieefBhiDbLGaFt4aOxfzrKW6jlMv1nb2tpHuCxi5xL/fwta96gotMXDmJCYG+wEUcN6zWrH2msy6Vx3PsZAhUapM6LqG333zXxEeH0Vj5yKs232D6c+uvmo3ZJsNgaFBfP8Ld+Lw478HAOy6+VZ0rllnupzM7UX3oVdx35c+iwsH9kGSZdz48TsLur2oFfe2WCiIh772VeiahjVXX4umxUtNf7YeAhnquoZHv/EviIyPobFzMdalDxxmqOZAhvOBqih4+N+/ikQkjPaVq7Fi+y7Tn11//etMZU5SUkk89O9fQTIWReeadVi2ZbvpOjKZL/tOHENodMT058rBmb0v4tVHfg0A2H3rB0x/TrZYsO7atPhLAc/rhnP79mDfb38JALjmPeb7gyTLWDeNa0kyFsND//YVqMkkurZsR+faQta9Sfe2jGl/PhLRCB7+969CVVJYsf0KtK9cbbqOTDaiuWQtVRUFD3/tq0iEQ3wO2nGl6c8a2dvOnsZ9X/wMTr34LARRxPUf+AgaOxebLifzXZ3d+2LNrnuFEBodwaPf/FcAwNY3vAWuhkbTnzUsPV98NjegM2N4/LvfwlhPN5y+Bmy56c2my+zavLWsQcTVVAoPGeveGiO+ihmM0BJnTiIwNDiPrSTy0X/qBJ77yfcBALsLmGcLCSLec+wIXrj/h+k6PlhQHRnR8tkf3YNf/J//gfD4KBraO3HDHR83XY7d5caqtPg7X9aDI90X8OT3vg0AuPrd7zMtvAFZWUtrWMRPRCJ46N+/Ak1RsGLHroLWvWoKLRELBvDw1/4JuqZh7e7XFLbuZc57e16EkkrOVxMJE5AoVSZe/uX9uHTkIGSbDe/8q7+Dzek0/Vmr3YE1V3Gz7oh/HO6mZtz2P/4Rr/3QJyAIgulympcsRfvK1dxUNRRES9dy3PHV/8C2N76toGfJDmT4zA+/h2RsdhPgcpMjyCxagjd/+vMFfVfZgQyf+O63ZjzMVCsv/eIn6Dl6iPe5L/4drI4C+lxWIMOn7/suxvvrOzPFM/fdjaHzZ2F3e3DzF/7W9K0jwG8QMy62T3zv2wiODE35G8YYnrznOxjtvgCHx4ubv/C3pt2aAMDb0oalG7cAAB7/3rcQGqsOYco/0Ic/fOc/AHCRPON+YpYNWWb+R5/6I/n01zgTg/34/bf+HQCw8223YN3u1xT0+czm8OwrL+HIk49B1zUwxvCH7/wHJgb74W5uwdv/8ksFHRwm3ds0PPHdb+XNHMt0Hb//1r8jMDwIb2s73voXfw1BNL89alu+0nCxffy73yrKneOZ+76LoXNnYHe5C56DXA2NWLZtBwAgMuFHQ3snPvC//hlXv/t9BbVh8bqN8La2IxWP48l7vmM6Tl4tcrkg8/qPfqqgz6/csQt2twfRCT+evve7xj7o8OO/x8nnn4Ygirj58/8d7sYm02VmBxF/8ec/LllGx+l4+t67MXyBr3vv/KsC172s0BJP3PPtBRd/spJEAxN4+D/4AXz9da/F9je/o6DPZwcR3//wr/LGBAr7x/DoN/4ZjOnY9NqbChJXgUnBIhqYABjDlpvejA//8zfQ0rW8sLam45cde+YJnHrpuZJa7mcEGVVJYcWOXQXPl0bW0ovn8fKD95uOW1gt8HXv3xAcHuLr3me/WNA5KTu0xON3/2fF3Bh1TcMjX/9nRPzjaFq0BG++8y8Keo4l6zfB09KKVDyGJ7/37bpe96odEqXKwIUD+7DnwZ8BAN70yc8WPCkDwK53vBvupmZsuP51+Mi//KeRPrhQdt/2QTh9Ddh186244ytfQ2sRbZEtFlzx9ncBAA7+/mH84At3cp/vKjpQ5ggyf/W3BYmAAL/pueqW9wLgt/Y/+PydOPiHRwpKo1tJzu3fi72//gUA4E13/iVali4ruIwr3nYLJIsFg2dO4Ydf+iye+dE9VSlAzpXjzz7JrQ8FAW/7i78uyLw8w5U3vweCKKLn6CHc+1efwYu/+EmOpcHRp/6A4888AUEQ8fbP/U1BrpRGHe98DwRBRPehV/GDL/wZXv7l/RW91Ukl4njo376CVDyOJRs24zUf/GjBZSxaux5LNm6Gmkrij3d9Az/98hcxePb0PLSWmG+URAIP/ftXkYrHsGjdxoJuxDN0rFqLrs1bjU3uT//HF/H0vXfj7CsvQZRkvPMLf1uQVW+Gq951GyAIOPvKS/j+5+/EvocezAlK/spvf4kLr74CyWLBO//qb+Fwm3PhyCAIAq56F18vzrz8PL7/+Tvx6qO/MR0A9sRzT+Hw47+b0xx09bveC1dDI7be9BZ8+J+/gUVr1xdchiCKuOqW2wDwefH7n/sUDv3h0aq2iC6WKYKM1VrQ5yXZgl3veDcA4NAfHsEPvnAnXn7wfjx9790AgNfc/jEs2bi54HZte8NbYXO5MN7Xg598+Yv4w399w4iTUkqOPfMEjjz5GCAIePtf/DW8rW0Fl7Hr5lshiCIuHTmIe//qz6ase0Tp4Qfw/4fohB/NS7rwxk99tqADOMBd6NZf91qAMTz74+/jh1/6LLqzXKY1VcHDX/snxIIBtHYtx01/8mcF19HYuRibXnsTGjo6ccuX/ife9Km/gNXuKKgMAFixfSdal69EMhrFo1//Zzzwv/8OoyWIZ5tXkCngIgLgcYu23PQWAPzMce8X/wzn9u2pmZAXe3/zAPeYmcu6l14vThvr3m/LHvj8hZ//CL3Hj8Bis+OdX/wfBV3AA5l1j6/fx599Et///J049Mff1eW6V+0IrFZGT40SGB7Cj//2c0hGo9j+5rfjpk/8WaWbVDIuHNiHp++72zDdliwWCEJ16Jxq+rD+tr/8Ejak/Z6LoffEUTz1g7uMoO6SLEMo4Ja+UmiKAsZ07HjLzbjx43cWXU5gaBBP//C7uJAOji9KEkRp9swptYSqpADGsPu223Hte28vupyxnm48de/d6E3HhBEl2Qj6nanj+g98pODbuGxGL13EUz+4ywjImF1HuWG6Bk1V4WpoxIf/3zcKcn3JRlMVHPz9w3j5wfuRiscBALLVVsqmEmUg0x+cvgZ8+J++bjo+z+VoqopDf3gELz3w05xAvDd94s+w/c1vL7p9Q+fO4Mkf/JdhfZIzPtPrxRs/9RfYWqBFQDYDZ07iqR/cheEL5wCYXy8m56AP4tr33lF0/aWiVtc90zDGv3NBwHv++z8U5LZ2ORcO7sMz930XE4OTrttrrroWN//V3xZ8kM8Q8Y/j+Z/ea7ixCqJYkGWtGTJ97tr33oHdt5l3zbqcmdY9ovQwpkNTFFjsDnzoq19D06IlxZWj6zj2zBN4/v77jMx4ssUKCIJRh83pwh1f/RoaOxaV8hEKRkklsf+hX+GV3zzA+y3mvkfIPKNkseCD//tfCnJbyy2H4dRLz+G5H91jWOFmvsdqJ7PuvenOv8SWG99UdDn9p0/iqR/8F0YungdQ/vUi8xxv/9zfGNkli6H3+BE8de/dVbXufezfvl3UJVWtQqLUPHN238t49Ov/jLblK/H+f/inkm8sKo2qKHj10d9g769+XnU3ZFfechtuuP1jcy5H1zQcfuL3eOnnPy46XkglWLZ1B9793/6/kvS5iwf34+n77s7ZeNcTa6++Du/4/H8r+KbschhjOLv3RTzzo3sQHhvN+d36616LtxVxG5evjtMvPYdnf/x9RPzjcyprrthcLrzrS/+Tp26eI9HABJ7/6b1GYFWi9rA5XbjlS182XE3nQjQwgefvvw/Hn3kCm1//JrypQJP8fDBdx/Fnn8Tz9983xfpkrgJ+dh1Hn34cL9x/X0FuAGuuvhbv+Px/K8g1cT6p1XXPLIIg4voPfsS46Z8LqqLgwO9+iz2/+jka2trx/v/1zwVbZ+ej/9QJPPWDuzDSfX7OZeVj7TXX4x2f+5uSrEln9ryIZ390D8Ljo7N/gJgTss2Gt/35Fwt2l89HIhrByw/8FAf/8EiOt4PFZsfbP/clrLri6jnXUSpCoyN45kffw1kTAdrNIMky3vipv8Cm194057JSiTj2/voXePWRX5fdUmgu7HjrzbjxY3Nf93Rdw7GnH8cL9/+w/O5vaYutYqz1L0fXNBx+/Hd48Rc/RjJa2ThZAPCn3/wefG0dlW5G2ahKUYoxhnA4XOlmlIyRi+fh8DXAU+TNcS2gJBKIVZEfrmyxFG25MR1qKoXoPJjRzweCKMDT1DLnQ1w2uq4h4vfXjGmyWURJKvnY1DUN4SzBaD7q0FQ1b3yccuLweIoyyZ+JWCgIJUnBJmuR+egPSiIB2WYr6VymqQoiE5PxL+ZlvVAU0zE25mN+KBW1tO4VgsVmK8oVdCa4S6gASS6dNTFjDGH/eMnDI5Rj3SPmB7vLBZvTVdIyE9FITngGu8tdEmF1PogFA1BKEL/J5nDC7naXoEWTJGOxmhHxK73ulYr5eA4llUQsWPlYwu7GppKuJ5XG4/HMuJeryicNh8Pw+Uq7WSAIgiAIgiAIgiAIgiDKRzAYhNfrnfb3ZClVBkKhEJYuXYre3t4ZXwZBVDPUj4l6gfoyUQ9QPybqAerHRL1AfZmoB+arH9ekpZQgCHU5mL1eb10+F7GwoH5M1AvUl4l6gPoxUQ9QPybqBerLRD1Q7n5cHanSCIIgCIIgCIIgCIIgiAUFiVIEQRAEQRAEQRAEQRBE2SFRqgzYbDb8/d//PWw2W6WbQhBFQ/2YqBeoLxP1APVjoh6gfkzUC9SXiXqgUv24KgOdEwRBEARBEARBEARBEPUNWUoRBEEQBEEQBEEQBEEQZYdEKYIgCIIgCIIgCIIgCKLskChFEARBEARBEARBEARBlB0SpQiCIAiCIAiCIAiCIIiyQ6IUQRAEQRAEQRAEQRAEUXZIlCIIgiAIgiAIgiAIgiDKDolSBEEQBEEQBEEQBEEQRNkhUYogCIIgCIIgCIIgCIIoOyRKEQRBEARBEARBEARBEGWHRCmCIAiCIAiCIAiCIAii7JAoRRAEQRAEQRAEQRAEQZQdEqUIgiAIgiAIgiAIgiCIskOiFEEQBEEQBEEQBEEQBFF2SJQiCIIgCIIgCIIgCIIgyo5c6QYQBEEQBEHUE8kLQSijMVgXu2HpdEGQ6A6QIAiCIAgiHyRKEQRBEARBlAg9oWL0+8cAVec/kEVYF7vh3NEK1xUdECwkUBEEQRAEQWQQGGOs0o0gCIIgCIKoB+InxjH+wxMQrCIgiWBx1fid6LbAff1iuK/phGine0GCIAiCIAgSpQiCIAiCIEpE4KHziLw0ANc1nWi4ZRXUsTgSpycQeaEfWiAJABBdFrT/1RWQXJYKt5YgCIIgCKKy0DUdQRAEQRBEiUicmwAA2Fc3QBAEWFqdsLQ64d7didjhUQQeugA9qkAZjEJa3VDZxhIEQRAEQVQYCmxAEARBEARRArRgEupIHBAA20pfzu8ESYRrZzssnS4AgB5NVaKJBEEQBEEQVQWJUgRBEARBVD0Tvz2Hwa++AmU0VummTEviXAAAYFnshujM75onefjPtbBSrmYRBFFiVH8CI3cdQfDxS6jlSChMZ4i8PABlKFrppuRFCyWhhUnAJ4h6h0QpgiAIgiCqGj2hIvrKELRgEhMPnAHTcw+BelxF/JQfWrSyQk8yLUrZVzdO+zdiOo6UHiFRiiCqmdRABCN3HUb4+f4c4UmPKRj7wTGkLgYRfrIH0T2DFWzl3IjuHUTgt+cx+v1j0JNapZuTg55UMfz1Axj++gHoSXX2DxAEUbNQTCmCIAiCIKqaxOkJQOOHwlRPGJHn++F57RIAgBZJYfTuI4bbnGWJB/a1jXBub4Wl1TlvbWIaAwRAEAX+b8YMSynbDLGiJLfVaDdBENWJFklh/IcnoAWSSF0MQRmOovHdqwEGjP3oBNTROASrCJbSEXj4POQ2J+yrGird7IJgGkP4uT4AgB5KIfxsL3xvWl7ZRmWRODMBPcrFqNihUbiv7qxwi0oDU3UkTvlhX98EQSb7EIIAyFKKIAiCIIgqJ35iHAAgt3GRKfh4N5SRGLSogrHvHYU6EodgEQEGKL1hhJ/swehdR8A0fV7ao47HMfhPr2D0vw6DqbwOdSQGPZwCZBG2Zd5pPyt6yFKKIKoZpuoY//FJaIEkH68CENs/jLEfHIf/F6eRuhiCYJPQ9pntcG5vBXTA/5OTUP2JSje9IOJHR6FNJAGJC+vh5/qhTlTPMyRO+o3/ju4drGk3yWyCj3Vj/McnEfzdxUo3hSCqBhKlCIIgCIKoWjK3ygDQ+J41sK1tBFQG/y9OY+yeo1CGYhA9VrR9bic6/+4qNN62BoJDhh5RkOwOlb49io7xn5yEHk4h1RNG8LFuAJPxpGwrvFwgmwaylCKI6kEZjsL/wBlE9gwYsYsCD59HqpsLT62f3Irmj26CYBWRPBdA/MgYIApo/tAGWDpcaHzPGliWuKHHVG5ZVeL4R0ybHyGGMYbwM9xKyntjF0/MoOoI/r46hBKmMyROT4pSykAUSl+kgi0qDXpSQ3TfEAAgum+o4i7nBFEtkChFEARBEETVkrwYBEtqED0WWJd60PieNRBsEpS+CJSBKES3Ba2f3AJLiwOS1wbXrg44NjYDABLHx+dUd76b+cDD56EMRCHYJABA5IV+JM5MmIonBQCimyylCKIaUP0JjH7vKGKvDiPwm/MY/MpeDH/zIKJ7hwABaPrgeljanHCsb0Lrndsgermg3HjratjX8HEuWCQ0f3gjRLcFylAUQ/+yH6EnLpUkPlPifACDX9kD/wNnSm4llDgzAWUoCsEqwb27E753rAQEIH5kDMmLwZLWVQyp3jD0qArBLsOxrRUAENlbu7G7MsQOjYCl+wZTdERfqf1nIohSQKIUQRAEQaRhil43LgL1QjwtLDk2NEMQBcg+GxpuXgkAEJ0yWv90CyxtubGjHJu4KBU/MW76feopDYGHz2PwX/Zh4B/3oP9/voj+v3sBI98+hNjRUTCdIXpgGNFX+IG1+Y4NcF3DY5z4HziN5Hl+kJspnhSQaylFfY0gKoMWTmHsnqPQwwrkVgcsS9zc/befW+N437wcjvVNxt9bF7vR8cUr0P7Xu+Da1ZFTluyzoeUTm2FZ4gZLaQg90YOhf9mH4OOXED8+DtWfmHasM0VH7MgotGAy5+fKcBTjPzoBPaoi9uow4sdyBXam6Qg+1o1IkaJG+JleAIDr6g6ITgusi9xwXcWfK/Dw+SnJJMpN4iR/Xvu6Rrh383k2fngUemLuAc/1hIrEucC8WaFNB2MM0ZcHAADWtIt35KUBwwWcmApTNCTOByreH4n5hwKdEwRBEAQAZSSGkW8ehG2lD80f2jijCxZRHhhjSKTjSdnT1k8A4NrVAbnZAbnZDslrm/I5+5oGCBYRWiAJZTAK6yL3jPWk+sLw/+w01LH41N/1hOH/ySlITXYeMwqA58Yu2Nc2wrrci+SFAA+yDi6SWTpdM9aVsZSCysCSGgQ7bcUIYj6JHRpBZO8QbMs8sK9rgqXdibEfHIM6noDUaEPrJ7dC8lqh+hOIHxuDIAlwXbtoSjmiTYZoyz9erYvcaPvz7YgfHUPwsW5o/gTCT/YYvxccMrw3dcF93SIIAo/hpMcUjP3wBHcVtEtouHkVnDvboEcUjP3gOFhCg2CXwBJcMLevaYCYni8Cj1xA9OVBQACsnW5Yl3pMfx/JSyGkLoYASYDn+sXGz71vXIbY4VEoA1GE/ngJvrcsN11mqYmn40k5NjTBuswLud0JdTiG2MERuHfzd5PsDkILpWBf3wTRKuV8XhmNQQulYFvhM5JRAFzsG/vhCWjjCTi2tKDpA+shSELOZ/WYAsEhG+8pGy2cguiy5JSZDdN0KANRJLtD0MJJeG5YYlxEpC6FoAzFIFhENH94A0a+cRBaKIXY4VG4rmjnn1d0xE+Ow7aqAVI6U+t0MEWDGkjmTejBNAZ1LAa5zZn3OWqFiV+dQ+zgCBzbWtH0/nXTfu9E7UM7IYIgCKKuSJydQODhCzz+0AwBpy8n+uowmKIjcXoC4/efQvMdG6ZsVonyovRHoIVSEKzilMxWthW+aT8nWCTY1jQicWIc8ePjeUUppuhQx+OIHxtD6KleQGeQvFY0vHMV5BYHBKsEMIboq8OI7hmElg5ibFvTAO9NXQAA0Sqh6QPrMfKtQ4DGYFvdMOumWbRKEKwSWEqDFlGMQyZBEKUnsncQgV+fAwCkLgZ5HCURgA6ILgta/mQLpLRbntxkh+eGJUXXJQgCnFtb4djYjNjBESQvBqEMRqGMxMDiKoKPXEDyfACNt60FS2pcGBvlgjZLaJh44Azix8ehBZPQAknIzXa0fGorxu4+AnU8gdAfL6HhnasQ2TvIBSkAYMDEb8+h7TPbc+aeVF8YTNVhW547TzJFM+LgOXe0QfJNivqS24qGm1dh4oEzCD/TC8ljgfu6xSg3qj8BdTgGiIB9bSMEQYD7qg4EHr6AyJ5B2FY1IPjoBZ6VFYBgl+G6qh2uKzug9EcQ2TvIRTcAcrsTvreugH1dIxKnJ+C//5ThPhc/Oga/cApN7+fClBZJIfDb84gfHYNtpQ++m1fBmr5kUANJBH9/EfHDo5BbHPC+sQuOLa0QRAFM0xE/Po7o/mGkLgbBlEnLp+TZAFo/tRWiQ0Yk/c4c21ohua1wXbsIoce6EXm+zxAjx390AqmeMCydLrT9+fa82fn0uIrIngFEXhiAHlXg2NaKxnethujga4k6Hof/Z6eR6g3DuaMNje9dW5NiTqo/gtjBEQDcSi7ossB388qaFtmI6RHYHGzHH3vsMXz5y19GKpWC0+nEXXfdhW3btpWyfQRBEARRECP/dRip7hDs6xrR8vHNpj7DGMPwv+6HOj6ZeaiWN3PZqONxpPoicGxpqcizJM5MILJnEA3vWAm5yZ7btkASkZcH4NrVnve2N/jHboSf6oVjczOaP7SxoHqjrw5j4oEzsHS60P65nQD4ew49fgmxQ6PQJhJA1g7IsbWFb+ydU2+n9ZSG2IERKMNReN+wbMoNdvSVIQQfu4imD643Ys3MxOC/7IM2nkDrp7dOOTQSBFE4WiiJVF8E1mVeY3xGXhpA4KHzAADn9lYwAMkzE9BjKg9i/qmtsC6e2YqyFDBNR3TvEAKPXgA0BslnBdMY9IgCyWdF80c3IXHaj9ATPUDapUx0ymj7zHbILQ4kzk5g7J5jgAD43rYCwd93AzqD+/rFiO4bAktqaHj3ariv5m5usaNj8N9/EtC5e17DO1ZCsEjQIimM/5CLHpAFtH9uZ955N/RkD0KPXzLiajm3tkJPaUicHEeqPwr3NZ1T5vJSEn6xH8GHL8C6woe2O7cC4ELM4Ff2csFHAJ+7RQGS1wotkJxaiAAu/qcFKMtiN5SBCMAA6wovXLs6MPGrs4DG4NjGhcTAQ+egR9WcMlxXdkD0WBF5ri9HbAIAS4cTtjWNiB0agR6ejBEoOGTYlnmR6gtDjyiwLvOi6X1rMfTvrwIaQ9tf7IB1sRt6TMHgP70CltLhe8dKRF7oz3kWz01d8L1xmfFvpuoIPdGDyMsDxnNlkHw2NL5vLbSJJAIPnQdLTf7edWUHGm5dXXIxJ3khiPCL/fC+fimsS8xb6pll9J6jSJ4NwNLhhDIUAwB437wM3td3gWkMye4gUr1hWJe4YVs5+4UQUd0UfT03MTGBO+64A8899xw2bdqE559/HnfccQeOHTtWyvYRBEEQhGm0YBKpS/yGNHF2AlokZZjOz4QyFOOClCyi6b1r4P/5GcQOjkCwSWh456qa3eyogQRGvn0IelSFZ3Bp2d0xtKgC/89OQY+pCGh6jkjIGIP//lNIXQohdmAYbZ/eBrnZkfP5TDwp+6aWguu2r28CBEAZjEL1JyA32RHdM4jwU73G3wh2CZZWJ1zXLoJze+u0m3bRKsGdjh+VD9dVHUY8FjNILgu08QS0MAU7J4hSMP4TPpdAAKxdXsgtDsReHQYAuG9YDN9bV0AQBDCdQRmIQHRZIDfOn7CSjSCJcF+7CNZlXvjvP2W4CVs6XGj5+CZIPhusi9ywr2vCxANnoE4k0fzRTZBb+HxoX9MI5/ZWxA6NIvgoz47n2NYK39tXQGq0IfjwBQQf64ZjcwtSl0Lw338KSOsn0b1DSHaH4HvLcgQfuQB1PAHBLqPlIxvzClIA4LlxKbRICtGXB+H/+WnEDo0ieXbCEGVi+4fQdPsG2GeJn1csiSzXvQyiQ4Zjayt/pwywb2iC720rIDc7kDjtR+SlASTPBiD5rHBd2QHnlR0QLSJCz/Qh8mK/ESvMdVUHX9NlEaJDxvhPTiJ+eBTxw6MA+DvxvmU5YgeGET8yxmMIprEu98L3luVIng8i/FwflKGYIZaIbguvd1srd5kTBaQGoxi96whSl0IY/s9DgMZg7fIYQqjotMC1qwORlwYQfOQCAEBuccC5qx2hx7oRfroXjo3NsC52gykaxn980rAOk9ud8LxuKeRGG/wPnIE2nsDYd49OtnWFF84trQg8fB7RfUMQLGKOlRHT2Zz2NcpYHGM/5C6mqYtBtH5625TYjmZhOgN0lmMVljg7geTZACAJaP7IJsRPjCP4yAWE/nAJqUthpHpC0GOTAqLktcKxow2uK9qLbgdRWYq2lNq/fz9uv/12nDlzxviZ1+vFM888g507d5asgQRBEARhlswNa4aGd62C+5qpsUEuJ/j4JYSf7IF9YzNaPrIRsUMj8P/8NMDS5v9vXAb7puaKmY0znSH42EUIggDvm5eb2kwyRcPIfx0xNuMA0PzxTXCsa5rhU6XF/8AZ42B4ef2xg+nvOI3UZEfbp7caMaJSg1GMfP0AIAKLvnxNXgum2Ri9+wiSF4LwvWMlbKsaMPKtg4DK4H1DF1xXd0J0WyryTsd+eAKJE+NouGWVER+FIC6HqTr0pDZrbJlKwBiDNpGE1GiruDuNFkxi8Kuv5P2d5/VL4X3Tsoq3MYOeVBH6A8/O13Dzyinuu4wxQGNT3La0cApD//YqWEKFZbEbbZ/eCsEigWkMI988CGUoCusKL7eCSlv/uK5oh/8Xp3MyfUqNNrR8fPOsB3em80uD+NGxyc822SFYRMO1zve2lTkxsqaUwRhS3SFE9w0hfsLPBaG3rZj5+0moGPg/ewCNof2LV+QIZ1okhfBzfbCvacxrkaonVAhWacr6qPoTiLzYD0unG84r2nLaGz8+jvGfnASQ7iuvX2p898nuIIK/uwg9psL7pmXc2jgrHlj4hX6o4wk4NjXDsakZgjTV1S7ZE8LY946Cpbig1/j+dXDtaJts23gcQ/+6P23B5UPLhzdAcMjw/5R/95YOJ1o/tRXjPz6J5IUgBIuIxveuhWPzpOWznuQxx2L7hwFRgPeNy+B57RIIomBYDAPc9Tzjtq5HFNjXN8H39pWwtDimtNv4zqMK9EgqJzaVntQw8u1DRj+ADkgNNrR9Zhskrw1M0RB6uheRlwYhiFywE11WSD4rLC0OyK1OyE12KENRJM5M8KDzKQ2e1yyG9w3LAFHAyH8ehDIQhfu6RWi4eRUAIPgHLtRlEF0yrF1eJC+GwDIB8EWg8dY1U5IRENVP0aJUMBjEypUr8fDDD+Paa6/FQw89hFtuuQUPPvggbr311lK3kyAIgiBmJeO6J7c4oI7FYV3uRdunZ3crH/raq1CHY2h871oj4Gj0wDA3g09Mmv/73roc9tWzu2eVmoxoBgDu6xej4R0rZ/x7xhgmHjiD2IERiE4ZtjWNiB8e5S4hn9sJ2WcD0xniR0cRP+mHaJchea2QPJOZ4fSwAj2pwbG5Gfb1TTMe6jJbiey/SV4IYvTuI4AA2NY0InlmAnKrA+2f3wmm6hj611ehh1NwX78Y8ZPj0MYTkNudaHzPGkT3DvFYEjqP09T6p1uK+t7CL/Qj+MgFWLs80BMq1JE47Osa0fyxTRU9pE78+iyie4emuGcQRKo3jMRpP5IXg0heCgO6jpaPbYZ9be68w3QGdTzO45+VuS+n+sIIPHIBqe4QHJub0fTB9TkHcqYzJM9OwLLEUxZBLRM3ytrlQdPt65E4NYHkuQlYV/jgqUBMpPkicdqP2OFR+N6yPCfBQ/JiEKN3HTH+zd8Jj4mohVPwP3AGyTMTsCxxo+Wjm4x5fjaYoiP4h25ABJxbW2FZ7AZU3Qg+DQCWThd3RYyrYEkVokOG6OFriToan5I8ovUz22Drmoz1qKc0BH57HnpMgeS1gqV0xA6OQG5xoOOvd83h2zKPMhqDIInz5pKYODeBsXuPQ3JZ0fHXu6YkUYkd5tkX3dcuMgQxLZLC8NcOQI8qEJ0ydzm1Smj52CbYVuZ3+U72hCDa5SmCY3ZctSlIAtzXLYL3xi5DIGWKjvgpP2IHR5A47ecWXsu88L19BaxLPVysPDIG0WNByye2wP+Tk1DH4rB0uOC5aSmCv+82YjAWitzmhGNTM8JP90KwSej4myuNOYQxhsjz/dCiChzreQB8QRTAVB2JU35E9g5y6yoA3jd0wXNTV9WI0cTszCmm1NNPP41/+Id/QCQSwe7du/H000/jq1/9Kt75zneWso0EQRAEAT2pQbCK024ysm/LWz+zDaPfOQwwoOO/XTmjm4YyGsPwv70KiAIWffnqHIscPaYg/Hw/Ii/2Gzedzh1t8L1jZc5hS4ukoAxEoQxHoQzzrD+OjU1wXdmZEyydqToS5wOwLnabcisEgMS5AMbuOZoT/6jx1jU57mJM54cCQRIAUUBs3xACD18ABKDlT7bAttyLke8chtLPY65439CF4GPdOVZUM2Ht8sD7pmU5ghzTGVK9YcSPjiF+bAx6QoXn+sVw38BvaIe/cRDqSAyuqzvge+sKDP3LfuhRBb53rIQeSSH8TB+kZjs6Pn8FtHAKI/91GHoolVOvbZUPjbeumeLWZxbVn8DQP+8z/i16rGj/3A7T3/18kREZXVd3oPHdayraFqJ6SPaEMPrtw1N+nhFzs4Wfid+eQ/TlQXhetwS+t+Ran6T6wgg90QP37k7YS2gZqYVSCP6hG7EDwznzkX1TM5pv58KUFknB/7PTSJ4LQG51oO2zOyDapOkLnYHEmQnEDo7A8/qlM1r2jN13HImTfiPezEIkY5Vq39DEk3TIuSKhMhiFpd2ZN3B2oTDGEHlxAMHfXTDcBKdDsIpwbG2FHlWQOOnnVl5/PhmU/XJr2gzu1yxGw9tnvnypJbRgEpDFgkTa2NFR+H9yCgAP5t76J5sLyrKYTfzYGJThGOQWO19PBQGhP3Yb7oAQ0v8D+NjOVgdEAdD5DyxL3FD6IoAooPVTW2Bb7oPqT2DkO4dy4mpJPiu3wmp3Qotwayt1ImkIlep4HHKTHbY1jbCvbYQeTmHiN+dyrPoKHc+MMYT+cAnhZ7g1leuqDjTcspoS1tQIcxKlskkmk+jo6MC+ffuwevXqUhRJEARBEAC49cDo947C0uZE80c35hUVjOCoy7xo+7NthuuW9y3L4X3d0mnLDj3Ti9Bj3bCtaUDrn+S3yNEiKYSe7EF0zyDAuNm498YuaOEUEmcmoAxE835ObnPA9/aVsC31ILJ3EJGXBqCHFUgNNrR+eivkhkmxjDGG5JkJCDaJ3wAK/JZ7+OsHoEcUuK7sgOSz8mC4ooCWP9kMS4cL0X1DiL48AC2YmlK/720rjGxS6ngcw984mBMgVbBKcO3mwpkWSkFLi0JS+qabpTQeSDcdS0RqshvZhlhSy4npkEHy2WBd7uWWWS4LOr54BUSnBZFXBhH41Tme4lzRAY2h+SMb4djYDICn6h696wj0mAr7hiZ4Xr8050a9WIa/fgDKYNQQ6OYrDkohRF4eQOC352Hf1IyWDxcWwJ2oXzKB/S0dTriuWQTrEjfGfnAcelRBw80rjUxoiXMTGPveZAzXpvevgzPtEqSMxjD6ncPcssIiovUz240MYgB3SZr45Vk4NjXD+5blOSI/0xli+4chuiywb2ya4ubkf+CM4Sbj3N4K25pGTPz6LKAy2Dc1w3PdYvh/fipnLnLubEPT+9YZ/1ZGYvD//DQEWYRjI3d7ki9zH9JjCgKPXjTEipmSVjBFw8D/3gOm6Gj73M6cZ11IMJ0h1ReGdbGnbIdwZSQGZTgK0WHhFlI2CXpchRZOQYukIFgkODY2QbTJaffD/WCJyaDs0f3DmPjlGUAAvG9cxi2uQikwTYfvLSuMrIgLmcDvLiJ5dgKN712bN4vsXImf8iP46AUjC2QGyWeFc3sbnDvbINplBP94KUeMvtz1PNUfwejdR8AUHe7rF8N7U1fBYrQWVRB4+Dzih0Yh+Wxo/+IVEK2FC9qRPXx9BcO8XvyowSQP+7C+ydjHEMUzJ1FqcHAQnZ088OeXv/xlnDx5Eg8++GDJGkeUhtRABKJVmrLoEwRB1AJMZxj9zmGkesMAuNVAy59ugZyVyhqYdN3zvWMlPNcvNkQQS4cL7Z/nsQ5TvWGEnuqBc2urcYgb/s+DUPoiOdmLpiPZE8LEg2d5LIXLkFsdsLQ7Ibe7IMgiIs/3TYo2kmBkVcpkDpKb7Wi9cxskr5W7MPx60iVCbnHAdWU7EmcmkDwfhNzu5LfLFhH+n51G/PAoBJsE6GxKRqAMrqs70PCu3Iw7saNj8P/kJCAKcF3dAe9NXbNaDWmhFMLP9CKyd3DyGdIINgn2DU1wbm4B0xiCv7+Ykz0oO34G09OxTwa5gGdb24iWj+e60WmRFFhKL6kbRcaFz/uGLh6vogrI3IBnBFSCACbnsIZbV8N9FZ+LInsGEfjNOYhOmbszSQKGv3YAWiAJqcnO3WRkAW13boPks2HkO4egTSQN6wapyY72z26H6LQgeSmEsXuOGZm5Lo+5F/jdBUSe6wfA49s0vHMVLG0OBB/rRuR5/nPLEjca3rnKEIwTp/0Y+9EJQJ2cG+RWBzyvWcIFKwY03rYWrl3tSPVHMPb9o7kZztJ/L7c4IPlsEJ0yovuGuNWFkWUN6Py7q/POVfFTfozfexySz4aO/34luetUMZmLI9Epo/lDGzD2g+Ngig7vG5fBe9PCtHCrBpjO0hZKmTEs8HiLl8XmSg1EEH6mF5Y2Z17XOC2cAtPZlL1ZoaQGIpDc1jmJkpN7HaDji7uKtraeDi2YxOjdR3iCHAFoeNfs+0diZuYkSn3yk5/E888/D1VVsXv3bnzzm99EQ0NDCZtHzJVkN/czF6wS2j67fdpMGwRBENVK9OAIJn5+GoJVguiQoAVTkBpsaPnTLUaAzmzXvY6/vQqyzwY9pmDg/+7lAVM/v5Pf0P/iDKByEcd1dQc8r1nCg4wK6UOPiVgbTNURfr6PByFtd8G2thH21Q1TPqvHVYSe6kHkpQFAY7B0uuB+zWLYlnkx+r2j0CaSRgylwK/O8iw+IiDIouEqCHD3h7bP7jDcV5iiYeSuI9yEHoBlkQvu6xYbQViZzj8r2vIn2E31RyC65BwrLTNooRSUkRi/hZcECJIIS5szJz4GUzSEn+tH+Nk+2NY0oPlDGy6LMxXA6N1HAVFA+xfypyMvNYzx23dpjhvlUpKJASM329HxpSsr3RyiCmCKhv5/eHlKgGemMQx/4wDU4Rjc1y0C0xiiewYhNdrQ/rmd8P/sNBKn/BC9VkhOC5ShKORmO5o/uglj9x6H5k/AtrYR3jd0cUEqqUHy2bg7kSig9ZNbYFvhM8RbAIAs8nlSAORmhxEXyH39YvjesnyKC1i2MOXY2oLG96yBaJMRerIHoccvQbCIaLh5FQKPXgBLarAsdsN1RTviJ8aRvBA0XIOykVsdaLxtLQIPnYfSH5k2aUUmPpvrmk40vos8NaoZHpT9AF/r0oKjbU0DWj6+uWYz3BLVy+j3jyF5ZgLOXe1oum1tycrVQikuSI3FIVgn92sZq3ymMyTPBxA/NgbrMi9cO9unlKEGkkj1hqCOJ6D5E9DCKVjanLAu88K6zFuVyS3mm5K57xGVQ0+oiLzQD2uXNycQpp5UMfz1g0awucxNezGmkARhFqbqmPjNOUgeK7xvXEYbDWJO6CkNw/+6H1ooBe9blsO5vRVj3zsGdSwO0W2B9w3L4NzZhui+oRzXvQyZWCOWDheUIW6hY+lM/zcDBIcMFldNB0QvBnWCbzisSz2GQKOOxzFy15GcGEqi24Lm2zfAstiF+OExRPcPIdUfQdP71sK5rS2nTC2qILp3ELblPlhXeKvOOoClD5n5xn/8+DgEuwT7qoYyt6p6yMQxE2wSFv+vayvdHKIKSJwPYOy7RyF6LOj8u6tzxnTizATGvn/MyHQFAC1/yl1R9YTKM2GNcOFIdFvQ9mfbIDc7kBqIYPQ7h7k1Zfqz1hVetHx8MyZ+eYYHK3Zb4HndUgQfvQAwGPNs8HcXET/CM68JdglNt/GMX9ORGoxCm0jAvqEpJ+382PePIXkuYPyddYUPLR/daARV1mMKkj1haMFk+n8pWNoccF+7GIJFRPi5PgR/dzHvHM0Yw9BXX4EWSpU9syhRHEYCDACS14q2v6x8jD+iPkleCvHYoqKAji/tyoktqozFofkTEGQBkEWIdhlya27SCKbqCL/Qj9iBEUgNNti6PLAsdiP4u4tQR+M8DMOntiL6ypARx8q+vgmp/gj08OTezvvm5fC+fjKERPTAMCYePDvF8jwbudWBpg+unxeXzWol/zUqUTMkL4Xg/9kpbqotAI3vmUyDGXzkIjR/AlKDDUzToQ7HEPj1OTS+by0EQUCqN8wzSyk6Gt+/bsH64dc7aiCBxCk/nFtbi0qpnoExxg/xs4hMoad7eVpacMG04Z2rij4wM52RqFWDMFWHMhRFqi+MVG+EB9OWBFg6XLB0uGBd7DYtpISf6YUWSkFqssNzHT+ktH56K8buOQZlMIrAb84h9Mdu4+besSX30OTc3obESb8hSLmvXwzf21YgeXYC4z87DRbnbiQzHbbmitxonxJoXW52oPVPt/AYSlEF1mVeNN+x3sio5LqqA66rOqYdA5LLAu+N1evuMNO4dWyi2AsZqzqW1MAUDYKFLosWOqmLQQCAbYVvytxoX9sI+7pGIyix65pOIzaaaJfR8pFNGPnOYTCNoeXjmw1XFesiNxrfswb+n53mgtQyL1o+tgmiVULjbWuhjsahDEYNCynX7k6eSl4Q0Hz7BiSvCSB+0g/3NZ2zur9YO13AZftIQRTQ9P51Rlw8+4YmHhA9q7+LTgsc66cXkxzbWhH8/UWkukNQA4kcC09lMAotlIJgEWFf2TBj+4jqwLbSB9c1nYgdHEHT7etJkCLmDdsyL2yrG5A8F0D42T7DknK6bIRyqwOuKzvg3NmGVH8EwYcvGFai6kgMyTMTxt9KPhtaP7kFcpMdvrcsh+iQEfz9RSRO+QEAolOGdakHidMTCP2hGyypwvum5Qj+oRuRZ/sAgO+JO12QmuyQXBakBiJI9YSgjsS56FVF1t3lgCylqgw9ofJNwkgM6lgcekzh2VbSrhKSzwqpyQ65yY744VGEnuoBdB7XIxO8tuGWVZB8Noz/8AQgAK2f3AJAwOj3jgA6D3yrBZPcpSQT4sQiouHWNUbsDy2UQnT/EPQoD65r6ZhesGKqjvjJccgN9qKzQiw0tHAKyfMBJM4F+M3ixma4rmifvDlMaogfGUX8lB+CKECwShCsIiztTriu7MjJwDNbPSPfOgQtkITosaLx1tVwbCj8QMh0hvEfnUDi7AScW1rhuqYT1i7PlI2zMhLD8NcP5Kj/xcZxiZ/2w3//KUheG1xXdcC5oy2vOStTdaT6wlDHE3BsaamIJSBTdMSPjcGWx4WrXtBjCiJ7BmFd6oFtdcOU26T4iXEkLwah9EWQGozkxBfJh2NbK5rety4nIKue1BA/OspTM7c6IFhEDH/zEKDqaLpjA5xZgpOe0hB9ZQiRlwZyUg9nXPey/27on17hAuktuT7/qj+B8ftPQfPH0f65KyoSVFWdSCDVE4JjU0tJsiIRtQFjDP3/80VAZej4myvnLRU5UTtkEjNM56amjMQw8s2DhnXJ5e65ejoAeWYfkU1k7yCUwSg/PGX9XvUnMPKfB6HHVDg2N6Pp9g3zchGkjseR6gnDsbXF9P4lm5G7jiB1MQjfW1fA89olxs8z7oH2jc1o+QglDKglGGNVZ+FL1B9GyABJQOffXIn4iXEeBB08dicE7laqh1OT8TkzsezALU+9b1wG6AzJSyGkukMQLCJaPrppSqzm2KERJM4G4NjYDPu6RgjypKUnAEjNdmjjfL/qef3Sab1JtKgCZTCSk+14IUCiVJWgxxQEH+tGdN9QbhpOEzh3tKHhllUIPX4JkRcHAMDwcc1OqZo9MIzPbm+FFlMN9de5qx0spSF+bDzHx9++qRneG7tgXTxpRqgneVamyPN9PNOKiCmHvrmg+hNIXgjCvr5xxpsUxhjCT/aAqQyeG5fOqyjBVB3JSyEkz0xAGYnBua0Vjm2tuRlqTo4j9GQPRKsE6/K0b7DHCqUvgmRPyFDBL0ewinDubAcYQ+zgqBGI9HIsHS403rYG1iUzC4BM0TH63SNI9YRzfu7c0QbvG5fxIIbpWDB6TOUpWkfjkJtssF1245hJX57Tjk4XPDd2GUIB0xmv72II9nWNsK9rQuAhPvE3vGsVnFtbofoTUP0JCKIAa5fHsAq5nNiR0fTNbtZgkAXY1zZBtEuAKEAQBSgjMaT6woYAYl/XiOaPbMoROpLdQYSe6IHnhiU57q2lxP/z04gdHJkS5wjgbjrhp3rBdAapwQbZZ4Ol0wXr8ip0udJ0JC8GYV3qzcmaooVSGPv+UR4HAvy23fuGLliXZGWUC+VmfhMcMqxL3LAu8fC+yhi3nhqM8pskjcceaXr/eggSf5fjPz4JdWRqAHHrCh9aP7Ul7/fFdIbEiXFE9w/DstgN3xunCqCqPwGm6XnjFzHGAJ0VdVAiiLkw+NVXoAWTaP3MtpJkGSRqF6bqPJ6UqvNYa+35LwK1UAqCVcwrPBWLMhJD8kIQrivac+LDVRMZywZLpwvtn9tp/Hz4W4eg9IbReOsauK7qqGALCYKoVjIJJCydLiPRivv6xfC9fYWxr9QTKmJHRhHbN8yT6ogC3Nct4lkE5zjfRvbyZBVgAGQRTbetgXN726yfW2iQKFVhGGOIHRhB8HcXjGwkoscKS6sDcqsDotvKsytpDFB1qIEkNH8Cqj8OwSLB946Vk5mNGEPo8UsIP8X9WuV2J9o/u8PYZDDGMP7jk0gcH4fUZEfju1bDvrYRTGcIPdkzRXSwLvNCclsQPzGeoxgLVgmiVYIWShqZpbIDvXleuwTeNy830oan+iIQ7dK0m6x8JC8GMfbDE9y1RhRgX9cI16522Nc1TbEmCD/fh+CjXGyzdDjRdMeGkgbPZaqOxCk/ogdGkDw7MSXTlWNTMxrevRqCVULwdxd5yvjZELiowy1rbIjuG5pyGJeb7XBe0Q7RIYOlNOhxFdFXhvh3LgLu65dAbrZDGYxCGYiAaQyuXe1wpjeWRoYuh4zWT25B7NAIz56TPeJFAYIs5ARVBgD3DYvhe8sKCKLAY1n84BiPNfHGZVDH44gdGTOCRTu2t6LxnasQPz6OiQfPQrCIaP/CFZCb7HnFrGwknw3WZR7YVvhgW9UAudWB2L5hI2OPY1srbCt8iL4yCGUgOm05otsCPaEBqg7X7k403sJNdJPdQYx9/xhYSuep6f96F0TH5OLCGEPqUgiSx1p0Zo7EaT/GfnA8py0tn9gMS6cLsf3Dhovs5Xhelx4nJoWpyEsDCD/bC8/ru+C+Jlf4TfVHMPHAGcAiwtLigNxsh2WRG/b1TaZvvZmenh9OjEP0WuF76wouWvsTGL3nGDR/AqJThp7SjXefnVFO9Frh3NIC61IuQknN9mmfLX5iHOM/OcmFqS0tcGxuwcSDZ8FSGkSPxQisq0cUQBbR9pltC8qvnlgYZLI+Nn9kI6WTXuAku4MY/a8jEF0WdH756qq7sKg0WlTB4P/dC+gM7X91BSxtTmihFAa/shdAOklFBSxdCYKofhJnJzB2zzHj3+4blsD31un33+o4P2OXck6JHR1D7OAIvK9fSl5F00CiVAXRkxrGf3wCybMBAIDc5kTju1fDtsI362czry3fgIq82I/YsTE0vmv1FCHIsITo8k6xKIqf8iP0x25YF3vg2t1pHAKV4ShCT/cifnh0ihWX1GyH54YlcO1sR/jZXoSe4AKEfX0TIApIng9wt0JJQOuntsK2bPbb4NiRUfh/cRpQGT8ExyZTB8vtTm4ymXZ1SPaEMPpfR7ilg1UCS2kQbBIa37MGzq2tU783nQEay3sbqIzGEH6yB1pMheSyQHTKhltWdhtEtwX2NY0QXRbuAqkziOm/V0fTGWquWwS53YlUdwipnjDPqrDIDdsyD6xdUzMrMMaQvBBEbN8QIApwXtEO28qpcSW0SAqBhy/wdzENolOGtcvLrVFEAS2f2GzEnkj2hBD47XkogxEjWGoGyWeD1GBD6lIIAODY3AzfW1dg5NuHuRvnVR1ovHUNAG7ZF36+H+FnewGdB6vUFR0srsL3thXw3LDEeK7Ab88bQp3osUBucoClNCPQdE7b3ZZ0Wtp0OvtbVhuiSqovjOTFIBdoGX+PUoMN1uU+yM12JI6PY/zHJwEADTevhGWJZzL1ddoU1339YjS8Y6VRX3a2IetyniHDvrEJ0Bn0BBcC9XCKi8GBJJimw33tIkP01JMahr/2KrRAEs4r2qEMRKAMRiHYJdhW+JA4yX3Lbat8sK9rghZMQvUnjJ+7X7uEZzISBN4HzgWQuhSCfX2TYQnHdIbgIxd4XwMAAWi6fdKVTfUnMPLtQ8b3lo3c5oDvTcth39QMMB4sN/ryAFL9EXjftIy7gqb7WODh84alZQZrlwfqRBJ6mMd0av2TzTzw7DN9iLwyCKgMcrsTnhuWwLmttSD3s/jJ9PvKcvW0rvCi+fYNhgukHlPAGBZkFhKi/hm79zgSp/xk5UEg9FQPQn+8BMfmZjR/iNzQ8pEZL57XLoHUYEPoyR7oEQWWJW60f3ZHpZtHEESVwhjD6F1HkOoOFXwhTJQPEqUqBFN1jN13HMmzAQgWEZ6buuC5fnFVxxTRIinoEQV6UuMHfVHgATmzLDGirw5j4leXZRRIW1OIHiva/2KHoTwzxhDdO4jk+SAkjxWSzwY9rk5mMNjYjKYPrIMWSCL66jBi+4egR1VuifKxTZAa7Rj5xkFowSQcW1vQ8I5VGL//JFIXuagCEYAoGq5cTNWNdlkWueDevQjO7a2AICD8bB9COedyyQABAABJREFUT/dMGwdH9Frh3NEG57ZWWDpdxmSWGohg4henDbcm0WNB03vXzZubWIb4iXGEn+2DYBVhXeSGZZELelRF+IX+nPg6Dbeuhvuqqe6UjDGwlA6WUKGneHrojEgZOzgC/y/P8O8q/e4snS60fWbblGC8yZ4QJn5xxggEaOl0oe2zO3Lc5xhj0CaSEN2WHCFUT6pI9UWQ6g4heTGIZHfIsMDJFmsKIfxsL4K/7wYEQLBwkdK2ygf37kVcABEFtH9+JyxtTp6V464jeVNRz4RgldD4ntVwbmtD4KHziLw0wFNzf+EKQGMYu+84Ut2ZPijA+6Zl8NywJGecRF4aMFwb3TcshmN9E4J/vDT5OfA0yZ7rFyPy8qARONHa5eHumLLIAyy2ODD6ncNQx+KwdLjguWkp1PEE1NE44ifGjSDelkUu6Aktp28AgPOKdjTcsgqxfUMIPMzFucb3roUWSnKXw7SFl6XDiZZPbMm5NdLCKS62Zo2HQomf8mP8RycAjcH9mnSqcXKjIxYI/l+eQWz/MLxvWlbVQeuJ+Wf0nqNIng2g4eaVcF+3uNLNqUpih0a4W38WUpMdzR9cT5YHBEHMiB5ToI4nYFniJkGqSiFRap5hOkPgN+fg2NJiBAdmOoP/Z6cQPzLGg6V9cktdxZNIXggi8lI/LIvdsK9phNziwMh3DkMdjsG6zIvWT24B0xkmHjiD+NGxvGW4dnei4eZVOQd5NZjE+A+OQxmKQrCIkNudUPoikFscaPvsdoh2GUxjCP2xG+Hn+6ZYAuVDdMoQHLIReM62thHOra3QYwq0qAKoOuzrm2Bb1TCtGxRTdYSf7YMWTsH7xmUVtepgOkP82Bii+4dhW+mD93VLZ/9QHpIXAhj70UmwuArBJqHtL3bkxEnKRk9pCD3WjeSFABrft65oNyum6Ej1hsA0NiWQtukyGMPEg2eN7H/WFT60fJxnGsrcstrXNaLxvWu5oBlKwbG1Bb63rUTs0AhiB4Z5vC8BEB0yBLsMyW2ZtCLrCxuip2NLC+LHxgAGbo2WFiL1lIaJB89CHYuj4ZZV047tyMsDRrBFA5kLvcnzgdz+K4toev9aODa28IDzp/wQXTKkRjuUvgikBhvaPrMtJ0aXnlARfq4PkRf6DfdMwS7Dtasdgk1C+KkegPFAj+p43EgFnukzajCJ0OOXeHbOW1bNKXPjTCjDUehJra7mQIIwQ/CxboSf6YX72kVoeOeqSjeHmCcYY5j45VnoMQXNt2+YYqnNNB0D/+tlsJSOts/tpEzI06AnNQz+3z3cHd9jgfemLrh2dVT1ZS5BEARhDhKl5pn4KT/G7+XxZuRWB9zXLoIyFEV07xAgCWj56KZ5t6qpBpSxOEb+8yBYQoNzRxuUwQi3LpIEeF6zBGAMajAJPaLAsaUFrqs68ooSekLF+E9PTablnCbejJ5Ueaptjbt5MfAMg4IsAhpD7OAIInsGoE0kAXC3sYabV8KxtZUU9DTKaAzhZ/rg3NkG+6qGSjfHNEzTEfjteTBVR8Mtq42A3cpYHMNfexXQGBdixuKQW9OCZjqLEWMMTNF5X8kXVFtjCD05GbcNAJw729D0vnVFtTWyZwCB35wHJAGuKzvgef1SyD4bVH8C4ef7EN03DNEuofkjGw3RRk9qGL37CJT+CAAeULztz7bB0pY/jpoWSSF2YASiU4Zja6thrZY4H4D//lOT7pJXdfDYaNT/CaIsZNyHHVtb0Hz7hko3h5gnlKEohv/jAAAel9F7U65VXLInhNFvH4bolNH55WvmJftdvZC8GIQ6Godje2tFMu0SBEEQ8wOJUvOMOh5H+IV+xF4dyc2mJgBNH1gP57apcY/qlfjJcYzfd8L4t+i2oPlDG2BbPnsMrWyYpiPw8AXEDgyj4ZbVcF3RXlR7mM6QOOWHOhqD68qOebMEIaqHwO8uIvJcHwAuUrZ9dntBAfgzJE774f/FGW5F9ufb52QdpwxFITpkSL6pmQj1pAoIwpTNtxZKYeSuw9DDClo+sangMWSUE0wi8PB5iE4Lj98l0WGIIMpFxh3JttKH1k9trXRziHki9GQPQo9f4v+QRXR8YWdOYo3QM70IPdYN+8ZmtHyE4kkRBEEQCw8SpcqEnlAROzCCyMsDabee1VMyaC0EMpszy1IPWj60Ie9B3CxMZ3SjSBSEnlAx9G/7oYcVNL1/HZw7ik/JyjQG6PqUOFvlgqk6mKLnZBMkCKJ2SJwLYOx7RyG3OdDxV7sq3Rxinhj++gEjAQZLaLCvb0LzRzfycA4aw+h3eQBe39tXwvMaiidFEARBLDzoNFMmRLsM97WL4NrdCZbUINoX5lfvvakLzm2tkBrtc7bKIEGKKBTRLqPt09ugBVOwrSzOuiiDIAmAVDn3AUEWKZYGQdQwkodbWObLnEnUB6o/AWUwCohAy8c2YfS7R5E45UfihB/WLg/Gf3qKJ7gQAPu6+g/lQBAEQRD5WJjKSAURBAHCAhWkMsjTBMwmiHIgNztyXCcIgiAqgejm2Sz1mAqm6ZR5sg6JH+fJXGzLfbAt98HzmiUIP9OLwG/PgTEGPazwjK63rZk2LiBBEARB1DsLWx0hCIIgCIKoAKJDBkQAOqBHlZzsmUR9ED82DgBwbG4BAHhuXIrYoRFoAZ5kRW53ovlDG2BpJUGKIAiCWLjQtRxBEARBEESZEUQBYjpJghYmF756QwulkOoJAQDsm5oBAKJVQuN71kB0ynDuakfbn28nQYogCIJY8JClFEEQBEEQRAWQ3FboYQV6JFXppixYlOEotIgCW5cXgmXyrpbpDKm+MFhSg211AwShsDiW8RPjAAMsSz2Qs5K62Nc0ovN/XlNweQRBEARRr5AoRRAEQRAEUQFEd9pSioKdlx1lKIrg45eQOM5d7ASLCNuaRthW+qAMRpE47TeC0HvfuAzem7oKKj8TT8qRtpLKhgQpgiAIgpiERCmCIAiCIIgKIGWCnZMoVTDKUBTKUBSOra1TsvFqwSRiR8egx1WwlAaW0gDGs5ZCFqBNJBE/NgYwAAIguizQIwoSJ8aRODFulCNYJbCUhtDjlyDYJXiuW2yqbXpMQfJ8EEB+UYogCIIgiElIlCIIgiAIgqgAk5ZS1eG+xxjjQdfTYlk1whhD5MUBBH9/EdAYbAdG0PzB9TxwPIDE+QD8PzkJPabOWpZjSwu8b1wGudUBZSCKxCk/kpdCsLQ6YN/QBNtyH0JP9yL8ZA+CD1+AaJPh2tWeU4YeU5A4F0DizAT0MH+PWlQBdAa53UkxowiCIAhiFkiUIgiCIAiCqAAzWUrpMQWxY2OwtDlhW+6bsRwtlEL0lUHYVjdM+dvkxSCi+4chN9nhurpjWsGJqTr8Pz+N+NExOLa3ovGW1YbQU0qYpkObSEJucRT8WT2mwP/AGSRO+vkPBCB5ZgIj3zqE5o9uRPJcAIGHzwM6YOlwwrrcB8EqQbSKgCCAqTqYpgOCAOe2VlgXuY2yrYvdsC52T6nT+4YusKSGyAv9mHjwDJLnA5PPEUwh1RsC9PztdW5tLfgZCYIgCGKhITDGWKUbQRAEQRAEsdCIvjqMiQfOQHTJcG5vg21VA0S7hOi+YcSOjgIqA0QBzbevh2NzS94ylNEYxu45Bi2QBADYVvrgubELktuC4GPdSJzyT/6xLMC5rQ3u6xblCDJM1TH+01M5rmuSz4bG962FfVUD1EACyXMBpPojEJ0WyI02SI12SG4LkHadEyQRUoNtiitdNqneMPwPnIE6EoPndUvhe8vynN/Hjo4h/GQPIAuQm+yQGu0QLSK0UIpns+sPQw8rgCSg4R0rYe3yYvyHJ6AFk4AkABrf0jq2t6LpPWsgWKSC3sd0MMYw8eBZxPYP5/293OaEfX0jt4oSBe4SaJVgX9/EXQYJgiAIgpgWEqUIgiAIgiAqgDISw/A3DgJqflMb0c1jHU0nTKV6wxi79xj0qArRY4UeUwxhZrIQwLm9DcpoHEpv2PixbaUP7usWw762EeP3pwUpWYDvLSsQeXkA2ngCEACpwQZtImnqeeRWBzyvXwrntjYI0qQ4xRQdoScuIfxcH4/jlMb31hXwvHYJACB2cAT+X5zO+X3eOprtaLp9g2HVpIVTGP/xSaQuhQAB8L1lBdw3LC55MHGmM8QPj0INJrnwJgkQbTJsK32Qm+wlrYsgCIIgFhIkShEEQRAEQVQILZJC8nwQyQsBJM8HoYVTcGxugevqDliXeDDxi9OIHRo1hCnbqgZowSRS/REEfnsOLKXDstiNlo9vAlMZws/2IrpvCFAZj5n0pmVGXKNkTwiRF/p5kO+0DpYJ5g1ZQMtHNsG+thF6UkPw0QuIvjLE/0gErEs8sC73giU0qBMJaBNJHjuJAQADU3RDEJOa7XDtbIceVaD6E1AGI9CCPN6Sc3srpGYHt4gC0HDragiSiIlfngEY4NzZBsfGZqgTSWgTCTBVh+ixQvJaIflssK30QbTmWkAxVUd03xAsna5ZXR0JgiAIgqguSJQiCIIgCIKoUpjOJoWpPNhWN6D5wxsg2ibjP2mRFPS4Om2QbTWQRHTPACJ7h8DiKiCLaPnIRtjXNub8XaovDC2iwLbcC9E+c3wpPaki8vIgIs/3QY9ODTIueixofNcaIxtd8PcXEX62D8gYNDHAdVUHGt61ekYXQIIgCIIg6gsSpQiCIAiCIKoYpqdjGr3KYxqJTplbDa1ugO/Ny4uOW6SnNCROjENudeYN8l1smdG9Q0j1hSE12CA32SE32WHt8kK0TVo4McYQ+PU5wxrLtbsTDTevIkGKIAiCIBYYJEoRBEEQBEHUAFoklc4mV5oA3pWG6QzhZ/sgWkW4rl1U8jhQBEEQBEFUP1UpSjHGEA6HZ/9DgiAIgiAIgiAIgiAIoirxeDwzXjzNHCCgQoTDYfh8FKiSIAiCIAiCIAiCIAiiVgkGg/B6vdP+niylykAoFMLSpUvR29s748sgiGqG+jFRL1BfJuoB6sdEPUD9mKgXqC8T9cB89eOatJQSBKEuB7PX663L5yIWFtSPiXqB+jJRD1A/JuoB6sdEvUB9magHyt2Pi0vXQhAEQRAEQRAEQRAEQRBzgEQpgiAIgiAIgiAIgiAIouyQKFUGbDYb/v7v/x42m63STSGIoqF+TNQL1JeJeoD6MVEPUD8m6gXqy0Q9UKl+XJWBzgmCIAiCIAiCIAiCIIj6hiylCIIgCIIgCIIgCIIgiLJDohRBEARBEARBEARBEARRdkiUIgiCIAiCIAiCIAiCIMoOiVIEQRAEQRAEQRAEQRBE2SFRiiAIgiAIgiAIgiAIgig7JEoRBEEQBEEQBEEQBEEQZYdEKYIgCIIgCIIgCIIgCKLskChFEARBEARBEARBEARBlB0SpQiCIAiCIAiCIAiCIIiyQ6IUQRAEQRAEQRAEQRAEUXZIlCIIgiAIgiAIgiAIgiDKDolSBEEQBEEQBEEQBEEQRNkhUYogCIIgCIIgCIIgCIIoOyRKEQRBEARBEARBEARBEGVHrnQDCIIgCIIgCoElVaT2X4TY6IK8oROCIJj+rB5OAKoOsdE59XfBOLThIFgsBRZXwBIKpMUNsKztKGXzCYIgCIIgiDQkShEEQRAEUVNoAwGwUAJaKAEApoUpfSKG1CsXAJ1BXNQAy8ZFECwSmK5DPTsC7cLo1LrOj0JsckFq8ZT8ORhj0Hr9EBtdED324stJKtAGgxDsFojNbggWqYStnF/0YBwsoUCwyxBsFsAqQxBNvMtwAiwUh9jZYOrvCYIgCIKoTgTGGKt0IwiCIAiCIMyS2nsBuj9q/Fte0wZ5dfuMn2HxFJIvnQdS6uQPbTLkNe3QLo2DhbnAJbZ7ITY4ITis0EfD0PonALsFtuvXGGIPSyhQjvVDsMuQ1y+CIBcXDUHrn4BypA+wSLBdtxqCw1p4GeMRKId6J59LAIRGLqKJrW4IHntBlmTlQo+loJ4ahD4cyv2FAAgNTkitHoitnrzt18YjUF7tBjQGscUNy/aumhLiCIIgCIKYhEQpgiAIgiBqBpZSkXzyJABAWtEC7eIYAEDeuAjysub8n1E1pPZcAAsnIHjskNd3Qj0xABZNTv6RRYJl82JIHb7cz71wFiyuQFraCMvmJdCjSSj7LoLFFQCA4LXDesVyCHZLwc+S2t8NfTTMy/E5YL16JQTJnMDFGIN2fhTq2WH+eRcXtFg0lfuHNpkLPJ0+bkWVR6BiigZtOAi9PwA9koDU4YO8srUokWzWdqsa1POj/L0xxkUojx0sqXJh7bJdqeC0Ql7TDrHTB0EQoI2GoRy4BOiTfyi4bbBcsRyis7D2Mp1BuzgGllIhLW2E6C7eWo0gCIIgiOIgUYogCIIgiJohY10keOywXb8GyplhaOdH+C/tFogeOwSvHYLDCsEqQ7DKUC+MQB8JA1YZtmtXQXBYwTQd6tlhaN1jEFs9sGxezN3HLq9vPALllYsAwMWsC6NASoXgsIBpOpDSAJsM6xXLIPqmxqmaDpZSkXzqJBdhJBHQdEP4AgA9koDW4wcYg9jogtDg5HUG49DHI9CGQ2DBOABAWtIIeeMiCJIIPZqEPhaBPhqGPh7JFW8cVi6+tHl53KxwAnoozoUx/XI1SOB/2+Hj4pHOAMb4d2q3ADbLFLc5xhh3qxwKAooGaVlzjluiHopDOdgDFuPCmdjshryh0/gbxhhYXOFtv6z9gtcBqdMH9cww/07aPJBXtiJ1sAdIqoBFgrSkEdB0MEXj5Te5IbV58gqGejQJ5XCv8R0CgNji5m1udAGyOKOFmR5JQB+PQnBaefttMgRBAFM0sFgSLKVxEZBcCwmCIAhiRkiUIgiCIAiiZkgduAR9OARpdRssa9rBGIN6esiwmJoWUYD1qpVTApwzTZ/VOkk5MQDt0rjxb8Fjh/XK5WAag/JqN1gkCYgCxEYnBJcNgtsOsWnmOFFqrx/qsX5uubWuA8r+bgCAvLoNeiQJfSg49UOCwAWirGeybFrMxZg8ME2H7o9CHwlBGwgAqj5tewSXDdLiBggeO7SLYznukdNi4wKVYLdAsErQx6Jg8SxLLQGQlrVAXt0GbTgI9fgAF5nsFlg2LeLueTMIP0zVoXWPcSFQm2y72O6FZftSCKIIllCQevUSWCg+bTmCzwGxycWFSocFLK5APT3Ey5RFiI1O6KOR3A+JAgSbnP5eGiF2eHl9qgb13Ai07rFcq66M+2BaEAO4WGjZsmT275EgCIIgFjAkShEEQRAEURMwTUfyyROAxmC9djVEn2Pyd4rGLX/CCbAwD57NUhqQUsE0BsvGRZA6fTOUPkO9qp5240tBaHRyd71MfClFg3K413DDM5AE2F63HoI1f06Z1CsXoY9HIK9th7yqDeq5EcMVL4PY5oXgtECfiHHRhYGLKM1uiM1uSG1eCA5zboNM1aENBaD1+Lkbo8sGwWOH6OECmuBz5AhE+ngE6sVRbtUkikDG4ielgiXUXHEsp9ECxDYPoAP6SDpelCwagpjY6oZl69Jpv5e8bU+qUM+PQOv1Q+psgLx5cY4FEtO4eMVSKiBLEGQJ0DRoI+EcS6gpTW1ywbJ1CY8fFktBuzQGrT+QIywZWGVInT5uBZbk8buEBiegaLluoOm/zcT4krcsgTyNaEgQBEEQBIlSBEEQBEHUCNpwiMcTsltge926sgbwZvEUtPEIpM6GKZZVjDHuVhdJgkWT3CopoUwb54olFSSfOgUAsL52HUSnFYwxKId6oQ8FIXb6IK9qy7G0YprORTGnreIuYYyxtDilgMWVtACocoGr1WsEftdGwzx2V9pdT17TDmlVa9HvjTFW8GdZUuHiVCTB2xpLAaoGqasZ0oqW/DG2NJ3HuEoq0MYi0Hr9hhAFcDdIeWMnpDbv5N+nhSnBaYUgS1DPDUM9O8It9K5dPafsigRBEARRz5AoRRAEQRBETaAc7YPWNwFpWTMsGxdVujnTol4chXpqCEKDE7bdq6b+/tI41BMDEHwO2K5dbfycMQZoOrf0qROYpkMbCHDBqsF8zK1qgunMcIEUvXZIK1pndflkjEHZ3w19LALBZYP12lV19V4JgiAIolQUl8OYIAiCIAiijDDGoKXdwcS0hUq1InU2AABYIAY9lprye20wmP67XHdCQRDqTrgQJBHy0qaaFaQAQBAFSB0+WHcug7y63VSGREEQYNm6FLDJYNEklGP9ZWgpQVQn7PJECsSChTEG3R/l7tYEkYZEKYIgCIIg5gTTde7CVWLj6+zyWCDGM93JIsQmV0nrKTWC3QKx2Q0A0AcCOb9jCQVsggcRlzqKi3FF1AaCTYZ1RxcgAPpgEHowVukmEURJ0KNJKEf6oBzp466u08BSKpSTA0g+fhypg5d4xlKi4jB9ft+DNhxC8pnTUE4O5rxzpupQDvcitfcCki+chR5OzGs7iNrBfJRJgiAIgqhz9GiSZ9yqE2sVputQjw9A90dh2dEF0euY/UOFlM8Y9KEQlFODQEIB7BZIzW6ILW4IHjsEmwxYpKJiCGljYSivXgJkEYLLbmRfE9u8FY+pZAZpUQP08Qi0gUBOHKWMlZTQ6ITgsFayiUQZEBtdEDt80AeD0Hr8ELfUrsUYQbCkwrNP9vqN7JPaSIhnAc2y/GSaDu3SONTzI0aSA30oBEXrgWVHl2FtqE9EoZwagui2Qd64yJQVIjE3tBEem1Fa2QrL2o6iy9GjSegjYUiLfBBskwk3tPEIlEM9gM6gdY9BHwvDsm0pIEtQDlwCywhRSRWpvRdg3bW8ai1pMxlsxUZnWfeFLKny/dMCgmJKEUSFMZOOnCBqGRbn2bvme4FljPFAxoEYWDwFaWlTQRm+1D4/1KP9PLva1SsLElKYqoFFU1yAsUhcSClCiGFJhWcPK8GcwDQdyoFL0Md4qnvBZYX12tUFb6wYY9DHo9B6xsGSKkSfA6LPAcFhhXpuGPp4dOYCRIEHhl7Tnnto0Rm0C6PQ+vz8d4snM5SxlIrkC2dzgktnsGzvKjqLXjlhiobkUycBfTJTIFM0pF4+DxZNQt7YCXlZS6WbSZQB3R9Fau8FnpHx9RuMzI0EUSswxrjIdGYI0PjRUWx1gyVUQ2QQ270QrDL0YJz/LH3EFDx2SIsboJ4ZBnQGsdUDy7alUM8NQ+seN+oQvA5Yr1gGwW4uoyhROEzTkXzuDL9EAqZksc352/Q710fDENs8PMmHVQZTNP7uLo1zYdIiwbJpEaTOBujBOJ/rNB1CkwsskuSZSAUBkAQuUFplWDYvhnp+hGdHlURYdnRBavUU9Cx6MA7leD/vZ6IACCJEpxXymraSXPgwnUE50A19lMcFtFyxDKLLNll/JAHtwhiYoqYF2rSkks5WK4gixHYPpPbZ9yuMMbBQAtpwEPpwCCyegu2mjQvqfEiiFEFUCKYzKMf6oA8EIW/ozJuhiZgdpjPoQ0Ho4xFIy5oLsgRhKRXq2WGITS4jBkyp0UNxqKeHePr2aTI9VQssnoLaNwFpcSNE59QFXY8mITgsEERziyRLKFDPDkPrmwBEAdLKVsgrWo3MXCVrd1KFcmoQ+mg4J5W72OaBZeeynO+cpVRoPeMQW705GzHdH0XqlYvGJtqybSmkRQ2m6tcDMaT2XTRug3nl6edd3TbrO2dJFdpQENpgAGwiBsFhgWXXcojurMxrKRXqmWGwhAKxwQGhwTXZflUDU3VASGf+EkUufrzaDTYR45s1iwQkVYiLG2DdunSy3LgCbTAAPZIAiyT5BlIUIHrsELx2CFYZWn9gasr7bDLPuqwZejAOfTwCfTwCFldy3gcAiB0+WDYtAlM0KEd6wQJx/gsBsFyxHFKrhweIPtgDfTjEN4Jbl4BFk9AjSR7bx8R3Wi2kDvVAHwxCWt4MeW0HUvsu8ndikWC7YW1BoilRuzDGkHrhLFiExMhqQ48koPUHIC1uyJlz6xndH4U2FOQxfRQNTNEgWCQIDitfQ9w2iM1u40DMVA3K0X7oQ2krzwYHLOs6ITa5uDXuuRFoF0aNM7mB3ZK+cGiAIAjQxiJQXu0G9LSIkI4zJXb4oI9H+Hphk2G9YhlEX3VaztQ66tlhqOdGjH8LPgesu1dNWVNZPAXlSB90f9alkyBAbHFDD8Qm13arzEUncFFSn4gCKQ1CkwvWXcsBVYdyvB/6cGiyvh1dEBxW3q8O9PB3LwBSVzPkVa05VlfTwVQdqRfPGpldc5AEyKvbIS1vKdqqmjHGnz/b/d4i8bY3OqFdGOPfowkZRVreAnldR05bWEqFHoiBhRLQQ3H+nWZfwgmA9aqVVR+qoJSQKEUQFYDpDMqRXuhpNw4AsGxfOm/CiKk2JRR+SExpkNd3QmpxV6wtRpviKcAq570pYKoGrW8CavcYEOc3PhAFyBsXQVrSaCywLKlAH4tAbPXkHACZzqDsv2hYecwlVXkmHbzgsee0VRsJQTnUO+l21O6FZeuSaS1VmKJBD8YhpsWAcpJtwQGHBbZrVuXcVipnhqCdH4XgsfObzBluoZiiQeseg3pxzHh2A5sMy7oOiIsaSiIs6BNRpA72TC7mggDBawcL8Vtay44uI24PYwzKvvQ7FwB5XQek5S1gcQWpl84ZG2IkVcBuge01a2cV0HIEKVnkm+ysgK5ipw+WLUty+gWLK9ADUeiBGN+UBONTN/OyCMvOZZCa+QYwdahnsp/PRFqYgs6txiCLfGPIwG8vAVi2LIG4uCF96z089R3lQxL5oa3ByYWnQAwsmoTY7Ia8vjOviAnwW1mWVKH1T0A7P8Kf0yrxOjXG40P5HPydSCKsV68ACyehHO3jm7Ld09/i1gLaSIi7IFpliB4733zLIt9s1vBzEYWjXhqDemIQgtsG6/VrakZYrVcYY9C605Y/OuPWGluXmIrzZlg1jIQgOq0lW8/KQcZ1a8qaczmSCLHNA7HFza1Bokm+bq7vhLSsecrz6sEYtB4/n+u8Dgg+B7/EuuzvtPEIlP3d/Du3cYsZqc0LPZaC8mq3cTFivXpl1bp01SosnuJWUjqDvKHTWP/lTYsgd/GLccYY9IEAlBMDfF8jCZCWNkP3R/i+Ko3gtvG1v9kF9fzo5PoOQPDaYb1qpWERyhiDPhjkFuzLW3L3Q5oO5Wjf5HlIFCAtb+GW7nn6TwbleD/vb3YLLJsW8bp1HeolvxGzUXDbIC1v4a53LltBY1Q5NQjt4hjv85sXQ+vx872aIEBwWrhlPLi1oNju43svCPwr0HW+B4smeRsBiM1uWLYvhR5KQOsZhz4SmjoGJRFiqxtSm5eHKVhgFrUFiVJ/+Zd/iYceegiXLl3CwYMHsX37dgDA2bNn8dGPfhRjY2Pw+Xy49957sWnTpvlqM0GUHZZQoF4aBzQdYqsHYrPLtLXIlLKyBSlBgNjs4u41ggDLrmWQWjxGnRlrA5bg/4MsQur0cYFFzJ3UARRt5jnlYA9AWtwIeX0HIAjcnHQoBGg6pFVtMwpWejTJNzwWCZbNi3OtPZLcMkkPxCatOwBIS5sgr22fFJIYg3ZxDOrpIb7gbFli1MkYg94f4DFsjJsaCYLTxgMhAxAXNUBa1ACtb4LfzjAGOCzcbz3dHuXkADcbFwTjpkPqauIxDTLtSB+okVL5jaLOeKycLFEpI+bp41H+fpY08gV8NAz11CB/L147WDgJMAbBbYNlZ64JMABow0Eoxwf4OxD4AiZ2+CC6bGDxFO8Digap3QuxMf/NCWMMSCjQI0ku6CkaWErjpsVZ/w9BgLy6zbAEYjqD8mq34eaVabP16pUQZAnquRGoZ4cnK7JKsO5YlnODw3QGfSwMbSDAv/O0MCM0OGBZ38nf/alBLpQgv0CnjUegnRsBU7TJ2ycG/t9p02jBaYPQ6ITY6AQLJ3gfYYDgskHetAhigxOCJBoiGmwyF5cs0pQbQiDtfhBXwCJJ/sxXrkDqpXNgcQXS6jZY1rTn/a6BXEFKaHTCums5BFnisTQGAlCP9/O2NThh2bSIu8ANBvjG5jIErwPSIh/EZjeU4wO8LwsCpCUN0PoCvO84rZC6mrgoNBEzzO8hAJAl/p1nC0xWGdYrlxvWg8Z7lAQIbrvRDsHngNTmheC2QXDZAJ1BD8fBQgmweApiixvSosY5b5D0YJwL3xFudSU2uWDZugSwyVD2X+KCjVVOC1Y65LXtkFe1zanOSsN0xl34MnOVJPJ3Ms0YJuoXpmhIPn0S0Bg/cC+gG/BqQ4+loB7NsgLJsvaQVrVCXtUGfSTMrUhHwxBsFggNDi6SMEDrn5iMi4P0AX1tB8Q2T8HilB5JQj0zBKnDN8U6V5+IQjncyy2OupohdniL3nsCaYvgfRfTLnRuiM0eCFYJkCWwlMr3GrEU36Ndfglit8C6fWlJ5q6MRa20tClnXWGKxl3O/VFISxph2bJkznVVgoywo41HIK9sg+i2zf6hMpA62AN9KMitmK5awS+mTg4CsgjbDWvBEtzqnKXHheBzwLJtqbFf1cMJ6MNBHjtyUWOO5Y8ejEE5NsAvk65YZsraKRttPAL1zNCk9TQASCK32vPYczwhtNEwFzYBWK5ckXMmyXtGAPgFWIMTgtvOy3TbwJLq5OVgLMXjiTqsgCgYIpll6xJIixunimcWCZaNiyB2+mYc89pgEMrRXn4Jl3XeAPi+VfA5+EW0x8HFswXkrnc5BYlSzz33HFauXInrr78ev/nNbwxR6sYbb8RHPvIRfOxjH8Mvf/lL/L//9/+wb9+++WozQZQNllShXhjhSnd2OltZhNjqgbyydYq7GGPMOHQJDqthacESCr9J6puAPhLmItSOLohtHiiHerlZtCRCWtECfSxiCCx5sUg8porGoIfiYBG+OZJW8s1UIZOa2uuHenzAEEzERhcPYJl+TmhsinmqtKQR8vrOKYdUPRRHal+3sbmDKHBrlGXN/Obl5OAUd54MYqsblm1dgCxCPTWYE2cA4MKVtLQR6qkhYyMpOK2QVrRCWtwAiAI3pz07lPf2AZrOTW93LjPMkgHAsqOLB+48kRaQGl0QJAEsmjQElBwsEuRlzZCWt0APxKAc6eVCzzRISxohb1oMFoxNCn+SCLGFB4MWfU6oF0cnFzpZzHUDy/ddtXkgr+2A4LaBhRPQhkPQR8O8H2jmjV+lxY2QN/LbMu3SOCAJsGxZCuVEP5DSePua3PwmGXyzro+G+W2ZIEBa1crFxbT5cXa7BZcN8po2iB2+HJFP6x6DepabPAseO3ev+//Zu+v4Svby8OOfOe4nOfGNbJLNuut1uFCKFXd3SoFCKZTS0gKlUErxFivFXX/ILVr0+l133427H7eR3x+Tmc3ZZPeuJtns83699gU3Mvmek8k5M8/3EZ8L9fRU+v8VcNRFca+rLw0WarpZLpMp4GyK4aiJUtzdAZgXGYammxdj1t+114X3tjYUv9u8iDjQDQ4F72NWgNdtZ/oYBc3sjeV1YySzMwJS02ljKTNAO8vvU4mYFyCOqB+lPFiSaWRoupk2Pnguk9JREzEzrs67gMehmL0LFMUMSuZV9FQe8kWz/GJatltJphiAy4FrRS3Optic7fIbmo7WPQYuZ2lGY1GjsLPdvtG7kr5eC5W9o+tQcG9rxlkx/1moYn4UD/ei9U7gqIvi2dQ038u5KRiqZpYUj6cxknn0VO7cBpxTMTN/GmKoJ6ddd5x38zgrRcFRFTKvR6Ze45XyAO4VtZcccDQzlM/YWReuFTU4W6umSt2S5vvH9Pd0j8vMWI36zRvaoPeC13vW7Z31Gjq914+jaqq0/QKlTVb2tzZo9rdRQl7c6xrmpPGyHXDwuvA+btUN9x6gp/OoR/vOvc9OXXeWbOLlVfTxlJkNM0dBCG0sRXGXeQ3kuaMNR8SPoRvm+ZfIoQQ850rhHAquZdXmuTiHQ0UMwzA3dM8OY8RzM/4GHfVluJorKezphLyKc2kF7jVLZj9WQUXtHEUfz2DEM6X3cJfItaoWV0tVyfq0rjGMbMG817rEigY9kTUbvE9lrzuXlOFsqsARvjnKhS/VFZXvNTc320Gp4eFh2traGB8fx+VyYRgGdXV1PPDAA7S1tV2PNd/Q9Ik0Wt+k2QzX5zZTE/0e838XybSnuWalheqJrBnl9rjA57YzJi6HPpFGn8yaAYl03hzfPHVBoJQHcIS8aEPJc0EXpTQQpMezJbsMgLkDp3BerbAZkHLWRMzHoOkU905lCkyjRP3mi5bPjeJ1Y2TyaP2Tszb/tb8n5DVvXsNmJoQ+kcbImjeojuowitNhPmejKbSOEfuNc3rmij6Rpnik71xwLezDWRvFyBftVFQ8LlytlWbWVtCLEc+abxRFzZ66ZWfeWCVRU8dyLa9G8bjB5cBIZCke6QPdMC+wQl679ty1ohYjVzj3My0OxSy3m6VeXB9PUzjYA0Vt6oU/huJzU9jbZWefoAC6gXNZNe4VZiaMNhA3A0znv3E5FLOE0OOConouUGUFuqYek3tjI0auOJWWmzTXv8osD7NvvHNFCvu7Zw84TjuXjFzRnNQ0FIeijuJ3g99tZrBMK/mc/ryeO45i9oQIesw1u50obpeZTeZ2mj2CRlNmqvV5x7BK3fTJjHnxOu25cC2vxtVWY47zPdxjZs6dz+PCWRfFWV9u9iO6wMWkPpGmsK/b/Duaei20ghHOhnIctVH796RMPSamDqUncuau1kQaQ9XN8+ACQZXpF2G4neY5MW33VU/mKB7oxsgV8WxvsUsFDMOgsLMDYyJt9swoqPbfwoxf2wUCUvZjTeUo7unEyBZRygPm81MbfdRdRMMw7H5crtaqWcslroSRK1I40I3ic+NeVbegGsoauSKFXe0Yqo7n1mUXLAm80Ri5IsWTg2YWpQSkbmp6PGuWCiuKecN9k01XmitGwSwZ1oeTZo+bWe50HLEgrnX1JVnLWt+EfT2Cz22+XtdFMYoaxmTGvD7UdDOrqS56rulz+wha5+i5HklVYVwray960zm9d9706wlnU8zMmD3QA4aZne0oC6D2jM967eeoDJnXfNNey/VkjuLBHvN9dep938gXQdXNDNVtzQs2I8PQdPK/P2ZmFE4FT+b05xdUtMEEzqrQZTXLtgZ3qGeH7Z5Zit8zVfao4N7QgKMihNoxYm7MaObv1r2t+boH3gxNNzPAU3mcTTHca+vtz+mTGQoPn7X/27GkDPeKmnmfDGvoBkbG7HOpDcZLr30xNz49d7Rd0nls6AZGMmc24J/qn6mn8yhup3mvWBawM6eMbAEjW0AJ+XA1xq7d4ylq6BNpHLHQNe+rulhcdVBq7969vOQlL+HkyZP253fs2MGHP/xhHv/4x1/Txd7o1N4J1CO9F67jdjtRAh4zRbf+4vXphmGYOzOGca60xeualx0FPVMwswrArIOtmSoDucy1WJOzFGt61fmfL6jmVKrpjeKmxp1rvRMzD+h14WqZqkt2Oc3jT70oKQEPjljw3A5SKo9qNUo+jxL141peY5ZtTWUjGJMZ1I7Rc437plIw7YZ406dMTD9W2Icj6jdvvM9LgTZUzczeUTUcNRGc1VEzGHH+86Ab5q7fcMKu3XdE/GbWzlSGC1DSRNI21SPASOfP1YYrmA0Bz+unZI1BVfzukhI8fSJN8XBfaeNjn9vMgNJ0lDI/nm0t4HKgdY+bJWxTb9CutmqcLTN3XvR4hsLerpK+QO4NDXYquzaWMnvMZIvmxd6aJRe9YTV03SybOr9u/WCP/TubrQm2Hs+iDSdQfG4cU7uQeM6Ns7cCoGr7yLkgytIKs4FhSc+gAoamz9o01Tp/9LE02ljKbGwd9pmljpfQY0ZP5c0SSCuLxqHgqAqb5VdTI+YvZWfLDt5NlYC5ltfgajtXKqUNTfWdYCpYdn55Zeco+qg5kUSJmMFTJey75F01I1ugsK/r3Hk4Ve55Kf087GMYxqO+zhQO9aD3TQLm35/ntmWlvyvD7AF1/oWNffNocTtxLavGURWC/FQ5J1zSTqeh6WZGldyAPqoL/T6EWCzyD53BiGdxrajFtazq0b9BXDI9nUfrGkPrHS/JMFICHvMaznqvCnkvvJGQNqeFKWWBy5vAmiuaDb97x8/11ikP2Julis+NozJsb9io7SNm+bmi4Lm1FX0yY2bvTuOoieDe2GhuJuoG+nDCDLRNbZxOb2Hg3tCIsypcGlg7jxL149nRsuA3wQt7OtFHklf1N6KNmtlxruaKGRkt+ngabSiOsyFWEjgsyWhxKLiWVZnXrI/2Hl9QzYqHqY1lR2UI19p6FK+r5Lpztuty57Iq3Ctqr+gxXgrDMMyys6mEiNkGbKhdo+hjabP6Y4H28dInMxRPDJr9ohTMjasFulZxZSQoNQfsHe+zZmmKozpsRs+zBbOXSbYwM3hRHsS9dgmOsM/sazOV8aKn8maUN52fUabjqAjh3rp0xg2X1juB4nHZWTkla8uroOtXHBGfUa5l8bnNwNLUDaoj7MPVVjMjyGIUNfTRlNmLZjR1rkeK340j7EfxucyIdipnBlvcTjMI0FQBDsWuPQczw8LQdChY5StTa5qKhJdMiwAzq6M2YvZM6p4aa6oo5u8n5MUR8KKEzRvuC12YaINTfYCmPX5HXRT3ylrzd1zUzN+vpps37Nf5QsAoqBSP9Z/bUfC4cMQCKF432nCitEeAU8HZEMPVUnnZv39D09F6xs2Lo/G0nWLriAXNc3Da49TTefSBOI666Iw+SiXHnMrgMFJ5s+l7ZeloWEPTzZrvKwh42scwDLSzw+jpAu41S664R46VaaY4FBxXmflwKYGV2ejJnDmJLRa84ht4a/ogHtesU+K0sRQU1JISvGvJ0HTUk4MYBfW6Ze0YBZX8A6dB082m2ZfR26F4ahCta8zsebas+qZrOimEuPbUnnHUI30oER/eO5bP93JueEZBNUvYB+OlfRHDPnMDsCp80WuPa01P51FPDZWUX0+nBL1m8/Aus1RwepNpbSBu9pAyDBz1ZWbJ3MVK7FL5cxlRmNdg1jWxozKEa80Ss+Gy1RPzKq4X5pLaNYZ6rB8lFsR7S+vlf//U3xhgNlPf0ICzMmxuZJ/XKsDZGMO1vAZ9PGVuDOuGualsVUn43TiXVZvN24OeGdfxJYEsp4J7bX1J43vDMFBPDppNs5na6G6rNqfSHewBMIeaTLtHM7IFszzfGpyiYF4f+S7c+PuCz8XUcwng3tFyQ2frGoZhbpY7HRKQWoSkfO86O78xmnNZFa7lNTNeVIyiZpbsDCfM1E9t6kUoGsBIZC+5FnZ6nbhhGKiH+9D6zCwi1+o6XM3nxhDr42kKezvNdN6qsDmhoCIIhoE+kTF7xxRUnBWhGZPLYCp7ZW+XHXBxNsXMIMVYavb1Oh1mpkxzBUZOResaReuZKG3Mq3DhTLKSB2qWVJErmhNTNjXirJ72gq7raH2TaO0jpeNCnQ6UiN/uBXP+c+daXXfZFy/Wjb2RLeJqq14QL5R6Kgco5hvotDdGY3IqE8jlMDPIrsGENyujysgWzLKtq7zgMXRjTmvYxeJnFFQzc04ylYQQ88zIq2bze8B798p5L5O5URn5IsXDfeijyZLrxunXs/PZj0hP5TCSObMkaKoEXB9JllwfO+vLca2vL83YTmQxUvlHbaBssfoj2r1AAWdb9awbTTcKPVOgcO9JUMD7Z2sueUPI2nhUT0+1J5gq2wfsISH2gA9rSi+UBKEclSHcGxvRx1IUTwye2yy3WJlvbie4nfbvVPF7cG9pumC5oTaStIfYWL+X4rF+MzjpcuDZ2ow+mUHrnyxpol9iKjilhHw4yvwo0YBZfnaB50efSFPY2QGGgWtlLa5WycwUC9dVB6UA7r77bl71qlfZjc4//OEPs2fPnmu91huSHaFWwLW2/pLqU41sgeKxAbM8y+Jx4YgFzQ79IS9K0GdmHU01uC2ZqFFfhntt/YxGuXAuMKUNxc169fOCR0rAY2ZPzTIiXCkPmJH6qfIKfSRlNiuOBfFsWXpu9KeqYcSzGPpUaaFmoHaOnuujc14fHCXgmRo7GzYbAeoGRiJrZoLkVXNXKexFCXjRR5OoHaPnplf53Hi2Lr3gm4BhGOhDCXOCVFkAJRowA3a6jj6WNkeUFsxmec6q8KzHEEIIIYS4VvKPtGNMpGdsFopLc/7QBiVi9r20JtYuVEZRQx9KoA1OgtNp9vG8RplL2sAkWu8EzubKRXE9m7/vJEa6YPe6fDSGYaAe67d7kDqXVeFqrTYb2E/vSzqtVYA+nqZ4vN8OTs1oVaDqaB0jZquFdP6CQ22sQNblbvQaumH2UZw4r8+ogrnx7lDMTVrdMCdwz3bH7lDM0s260ufIyBfJP3gG8iqO2gjuTU03bJBS3BwuKyj1hje8gV/84hcMDg5SUVFBOBzmzJkznDx5kle96lWMjY0RiUT46le/yvr166/num8YhmGgHunDUVdWMrLyUmhjKYxMwRwRGXz0kiVtKEFxf5f5ouVzm9F9RcG9qRE9kT1XPlgXtTO3rCleWs+42ZfJCkZ5XOabmtdlZkxdIGo/vd790Z4HrW8S9eSA/aLuqAyZu1mVocur2zcMjInMuXGyC6hRrxBCCCHExagdo6gnBnBUBPHsuPzypJud3Y/JqeC5Zdkl9WMUNxYri2j6cJILMYoaxYPd5mY5MytDtOGEWQ5oTRE8byqtPpQwJ8I+yn2aUdTMnqxFDYoaRlFD8TivqsWBkS+Sf+gs5KaGoSwpx1kbmRHgMgwDcmYjbj2RNbO+JjJmixCHYg5rmZrwZ+SKFHZ3YKTyKCGv2UtzgfcRE+KKMqXEwqX2TqAeNkfd41DMOuWq8Iy+VnBuVL1VKmX2d0qak7vO66OkZwpmrb6mnxtB7nWZZX2XE1AqamgDkzjKgzIKUwghhBA3nZLypMevvial9DcaQ9PNVhHjKYxcEVdDzL6pvhg9njWnhRkGrnWXVoEgbjzaSJLink7wusxJlRea5pvKU9zXiZEuXDBraKEzrEFBl7nJbhgGxX3dZmWN24nn1lYUp4PCrg6zdYnXheeW1gWdPSiERYJSi5DaPYbWN4l7VW3JhDfDMMzJIO0jOFuqcC2/cevNhRBCCCFuVPkHTmMkc2YT5vrya3psfTKDemrIbE0wy5CbK2VmaxTR0wWMjFnO9GhDTM7/fn0sjdY+UjIkxeKoi1506IWh6RQePIORzpuZ+pulJGmxMjSd/O+PgWbguaNt1jYd2kjSnP6t6mY7jy1Lb7qsOUPTzRLAySz43Wa1TK6I4nfj3tF60UnVQiwkEpS6CUkjaSGEEEKI+VM8PYR2ZhhHTQTPlqXX7Lh6Om9mEhU1s6zn1ksvbzOKGvpEGsXtQik7lzFv6AZa/wTqmeHSKb5gTxybHlgzNN3MrldA8bpRvC70VB71zFBp/xyf28yOUjBH1gM4HTiqwmbAStUxdLOthKIodsNwvC68dy6/KTPMbiaFPZ3oI0lcK2pxLStt0m0UNfJ/OgGqjlIewLO5CcV7c7bzMPIqhUfO2oOdlKAHz/bWGRPPhVjI5NX8JiQBKSGEEEKI+eOsjqCdGUYfTWJo+jVpeG0UVLPkqaiBYjZILuzrwntHW0kAxxokg66DZph9akaS6BPpc82U/W6ctVGUkBetfdRs9AxmoCngQQl4zR47kxmKh3rRxlLmIJ2+SXPqc3H2ptA4FJyNMZxLK8zjTAW+9KWVFI/1Y0xmZgzpgdIez+4Nl99UWtx4HFVh9JEk2mhyRlBK7Rw1A1JhH54dLSiOa9Mw/kakeF24tzVT3N0JHieerUtv2gCduHFJppQQQgghhBBzyDAM8n86Cbki7q1LcVZfXZmdWcbTgTGZMUt3trVQ3NtpDsypCOLe1oKRyKKeGkIfS13wOBecwux24lpWhbOpwg6gGYaBdnYY9fTwzAP53Cgep3msvGoHo1ytVRcuzzMM9OGkWRrodJg/x+mYikgZYExNbC4LXOGzJG4k03uveW5rszP+pmdJuTc14qwrm9+FLhDWLb2UtIobkQSlhBBCCCGEmGOXM2HsfEZeResdx8irdlmbkcyBy4HntmU4Qj70ZM4s5dN0lJDXLH0DUBSUoMcM+DgUFLcLR2UQR2UYR9Brlt+NJNH6JzFSeRx1UVzNlSju2Sd46WMpCgd7zPHzVWGcTbGSQTiGbgDGTZ3NIq5MYX8X+mDCzIi6bRmK04F6dhj11BBK0IvnruUShBFiEZCglBBCCCGEEHNMG0tR3NUBHqc5he8Sb66NgkrhkfZzJXUWRcGzvRlHxbnR9tpA3GwGPcVRX4arreaaN0A2NB1UTcqGxDVl5FXyD5yCgoaztQrXsmozS6qoXZchAUKI+SEF2UIIIYQQQswxR3kQ3E4oaBjxLMollKUZmk5hb5cZkPK6cDaUmxlMbheO8sCMSXjOuihGsR4jkcG5tBJH2HddHotdaifENaR4XbjX1lPc343WPoKRK0JRM8s4pWxPiEVDglJCCCGEEELMMcWh4CgPoA8n0Sczj9orydANige6MSYzZpne9pZLCjK5mmJA7BqtWoi55ayNoi0pQ++fRO+fND/WWiWDm4RYRGRLQwghhBBCiHngiJqBKH0yc9GvMwwD9Vgf+nASHAqerc3XLetJiIXGvWYJeKdyKXxunPVl87oeIcS1JUEpIYQQQggh5oFVsmdcJChl6AbqkT60ngkA3JsaccSCc7I+IRYCxe3EvbERJejFvWaJNM0XYpGR8j0hhBBCCCHmgT3mPlvEyKso3tJLc0PTKR7sQR9KgALu9Q04a6LzsVQh5pWzIoTzMSvmexlCiOtAwsxCCCGEEELMA8XtRJlqTq7HS7OlDFWjuLdzKiCl4N7cJNPGhBBCLDoSlBJCCCGEEGKeWA3Oz+8rVTzajz6WBqcD9/ZmyZASQgixKElQSgghhBBCiHmilE2V8E1m7Y8ZRQ19MA6Ae+tSnBWheVmbEEIIcb1JUEoIIYQQQoh5Yk/gi2cwDMP8/8MJ0A2UoFeamgshhFjUJCglhBBCCCHEPFHCPnAooOoY6TwA2oCZJeWsi6IoynwuTwghhLiuJCglhBBCCCHEPFEcCkr0XAmfUVDRR5MAOOqkj5QQQojFzfXoXyKEEEIIIYS4XhxlAbSJDPrkVAmfYWZQOUK++V6aEEIIcV1JUEoIIYQQQoh55IgG0DD7SikZs4TPuaRsXtckhBBCzAUJSgkhhBBCCDGPHNYEvmSOqV7nOGqldE8IIcTiJz2lhBBCCCGEmE8+N3hdMBWQUsoCOAKe+V2TEEIIMQckKCWEEEIIIcQ8UhQFRzRg/7dTGpwLIYS4SUhQSgghhBBCiHlmlfABOKV0TwghxE1CglJCCCGEEELMM0dVGBRw1ERQfO75Xo4QQggxJxTDsNopLhyGYZBMJud7GUIIIYQQQswZI1cEtxPFKfvGQgghFodwOIyiKBf8/IKcvpdMJolGJW1ZCCGEEEIIIYQQ4kYVj8eJRCIX/LxkSs2BRCJBY2MjPT09F/1lCLGQyXksFgs5l8ViIOexWAzkPBaLhZzLYjG4XufxDZkppSjKovxjjkQii/JxiZuLnMdisZBzWSwGch6LxUDOY7FYyLksFoO5Po+lYF0IIYQQQgghhBBCzDkJSgkhhBBCCCGEEEKIOSdBqTng9Xp53/veh9frne+lCHHF5DwWi4Wcy2IxkPNYLAZyHovFQs5lsRjM13m8IBudCyGEEEIIIYQQQojFTTKlhBBCCCGEEEIIIcSck6CUEEIIIYQQQgghhJhzEpQSQgghhBBCCCGEEHNOglJCCCGEEEIIIYQQYs5JUEoIIYQQQgghhBBCzDkJSgkhhBBCCCGEEEKIOSdBKSGEEEIIIYQQQggx5yQoJYQQQgghhBBCCCHmnASlhBBCCCGEEEIIIcSck6CUEEIIIYQQQgghhJhzEpQSQgghhBBCCCGEEHNOglJCCCGEEEIIIYQQYs5JUEoIIYQQQgghhBBCzDkJSgkhhBBCCCGEEEKIOeea7wUIIYQQQsw3wzBQVRUAt9s943OZTIZsNovH48Hr9eLxeFAUZT6WKoQQQgixaEhQSgghhBA3jWw2SzKZJJfL2f+KxSLFYtH+Go/HQygUIhgMks1micfjJZ+3BINBKisrqaiowOPxzOXDEJfIMAzy+TxOp3NGsFEIIYQQ808xDMOY70UIIYQQQlwr1qXN9EymQqFAb28vw8PDV3RMh8NBIBBAVVXy+TznXz5Fo1GWLFlCNBq9qnWrqkqhULD/KYqC2+3G4/HgdrtxuVw4HGb3BVVVicfjTExMkEwm7XVanzcMA13X0XWdYDBILBajvLwcl2v2PUlN08jn86iqiqZp9n9PD94FAgHKysqIRqN4vd4rfqyX8lzE43FyuZz9+F0uF5lMhmQySTKZRFVVQqEQkUiEcDiMoigUCgWKxSK5XI5UKkUqlUJVVRRFIRaLUVNTQzgcRlVVJicnmZycRFVVO/vN6/Xa/y41G84wDAqFAoZh4HQ6cTqd9u9ACCGEEBcnQSkhhBBCLAqapjE4OMjAwIAdiAkGgzgcDgYHB9F1HYBwOEwgEMDn8+Hz+UoCPoZh2MGMTCaDx+OhrKyMcDhcEuwpFApMTEwwOjpKKpWy1xCNRmlqaiIYDM66RsMwyOVyZLNZ+18+n7eDUJdyWeZwOHA6nbNmbz0aRVEIhUJ24ERRFIrFItls9rKPFwqFWLFixWVliamqSjKZtJ/jdDqNw+GgrKyM8vJygsEgo6OjDA0Nkc/nL/fhzUpRlJLn1ePxUCgULul73W63/Tw5HA5cLhdut9vOuspkMmQyGbv00+JyuVi+fPlVBSmFEEKIm4EEpYQQQghxQ9N1ncHBQfr7+2cEB6YLBoMsXbqUSCRyTX9+LpdjcHCQoaEhO/hRWVlJU1NTScAmk8lw5swZMpnMRY9nZQZ5PB50XbfLC2cLGvn9fjtzyel02plRgB1MAYjH44yPj5PNZi/6s10uFy6Xy8748Xg8dvDO5XKRSqWYnJy0A3HBYJDVq1dfMPvKCvJNTk4Sj8dLAniPxul0EolESh6/z+cjHA4TDoft9SQSCfu41vNmlWCGQiECgQDZbJahoSFGR0ft58fK+vL5fHZgMJ/P2///ci6RraCVpmn2x6LRKKtXr77kYwghhBA3IwlKCSGEEOKGZRgGJ06cIB6PA+Dz+WhoaCAYDNrZOIVCgYqKCioqKq5rc/JcLkdPTw9jY2OAGVRpamqiurqaoaEhurq6MAwDRVEIBAL4/X78fr9dKmb9u1Dpl2EYaJqGqqqoqorb7b7sErpsNks6nbaDV4Zh4HK58Pl8+P3+CwaXZjvO0aNHUVWVSCTCqlWr7HXruk4ikWB8fJyJiYkZwTSfz2cHjEKhEMVikcnJSSYmJigUCgQCAWpra6moqMDpdF7SemYr2ZyNlakVDAYvmuFlGIYdCLOeJ13XUVW15OOBQIBgMIjf78fhcGAYBtlslkOHDgGwefPm61rmKIQQQtzoJCglhBBCiBtWX18fPT09OBwOmpubqaqqmvepeKlUio6ODtLpNGBmPlmBmbKyMlpbWxdFY/RUKsWxY8fQdZ1YLEZVVZUdiJqeseZ0Ou1srov1orKCbk6nc95/h1fr6NGjJJNJGhsbqa+vn+/lCCGEEAuWBKWEEEIIcUNKJpMcPXoUgNbWVqqrq+d5RecYhsHg4CC9vb1omoaiKCxdupSampobPuAyXTwe58SJEzNK3VwuF7FYjFgsRiQSuekafw8PD9Pe3o7f72fDhg2L6ne+mBiGYfeOk+mMQggxPyQoJYQQQtzErOwUq5+Ooij4fD47myWbzTIxMcHk5KT9eatXka7r9pQ2qwzM+meVllkTzay+RNObhReLRQqFApqm2ccqFotkMhm7AXh9fT21tbUz1q2qKocOHbJL89ra2hbkjX+hUGBkZITy8nICgcB8L+e6GBsb48yZM7jdbjsQZU3Du1mpqsrevXsxDIN169YRCoXme0limnw+z/DwMMPDw3YWo9vtxu/3Ew6HqaysxO/3z/q91pTMfD6P3++/5BJTIYQQs5OglBBCCHETyuVy9Pf3MzY2VtKc2aIoCk6n86KNw6+EVbZWLBYvedLcpk2bSsrdDMPg1KlTTExM4PV6Wb9+/SX3QhLXh6ZpJY3VBZw+fZqxsTFqa2tpbm6e7+Xc9AzDIB6PMzQ0xMTEhP1xh8NhN7+fLhKJ2OXA2WyWXC5n/7NeMz0eDytWrJCgoxBCXAUJSgkhhBCLnJWFZDVqHhwcZHR0tCQo5HK58Hg8GIZBLpcraRwdjUYpKysjFArZDZ8Nw8DhcNhT2hRFsRtwq6pKoVAomWY2/UZuOo/Hg9PpxOFw4HA47GyFQCBAf38/6XSampoaWlpa7O8ZGhqio6MDRVFYu3at3BCKBWliYoKTJ0/icrnYsmXLTVfCON8Mw7Bfg5LJJMPDw+Tzefvz4XCYmpoaYrGY3aA+k8kwPj7O5OTkox7fCmYpikJLS8uCKh8WQogbiWwrCiGEENeJdVNkZZFY/85v5GwFgjKZjH2TY32tVUo3WwaK1Q8lmUyiaRrBYJBQKITL5SKXyzE6OsrY2BjZbHbW9UWjUZYsWUIoFCopQbHWbU1Cu9TylItNGbNKXnK5HIA9ae5imTUul4vjx48zPDxMXV0dPp+PbDZLV1cXAI2NjRKQEgtWWVmZ3eQ+Ho9TXl4+30ta1AzDIJVK2c32rdea6ZxOJ1VVVdTU1Mwoz7OmQVZXV5PP5xkZGWF8fByn04nf77dLkK1/uq5z9uxZJiYmaG9vJ51O09zcLNmCQghxmSRTSgghxIJhGMZ1vaC3gjiqqqLrOrqu4/F4CIfDj/p98XicYrGI2+3G7XbjdDpLeipZO/LTs4Om78pPpygKbrfbLknLZrOzZhFN/3qv14vb7UZRFLufUzqdnrXsZPq0t/OP43A4CIfD1NfXP+rjXgiOHz9OPB63+0YdPXqUVCpFJBJh9erVcgMoFrTOzk4GBweJxWKsWLFivpezaI2OjtLd3U2hUCj5uKIoeDwefD4fFRUVVFRUXNMeUIZh0NfXR29vLwD19fU0NjZes+MLIcTNQDKlhBBCXLZCoUA8HiedTpNOp8lms7jdbnvkeyQSmXHhr6qq3ZfDMAy7PKxQKJDJZMhkMuTzeTwej71jHQwG8fl8dkaNpmmkUikSiQTFYpGKigoikciMrKNisWiXq1nBm3g8TiKRmDX4U1lZSXNz86x9iYrFIu3t7SU9SC6H1ZvJWou1RisTafrXBQIBXC6XXR6naZr9fFm9TM7ndDrt7Kh0Ok0ul7MDUtFolIqKCsrLy3G5XDdkAKepqYnDhw8zNjYGQCqVwul0smzZshvy8YibS1VVFYODg0xMTNhBbXFtFQoF2tvb0XUdh8NBeXm53WzfCuRfL4qi0NDQgMfjob29nf7+/os2ST+ftVFiZcUu1Nc0TdOIx+P2pMJAIDCjybthGOTzeft9XlVVnE6nPfwiFAqV9AYUQgiLZEoJIa6b6VO9rD4zVqAAsC++rEldLpfLvsCxghbFYrFkQtf0siZd1ykWi6iqimEYswYoruVjsS54px9fVVXGx8dJJBJ4vV4CgQDBYHDWcqvpvXiml2/pum73ssjn8/Zx/H4/mqaRTCZJpVKk02n7WNbu76U+Zk3TSCQS9kXl9AvF8793+qS06eVVuq4zOTnJ8PDwJffbsH6G9Xu8UtbjLRQKM5pjBwIBamtrcblcTE5OMjk5OWO3fDqn02lnOimKQiqVsh93W1tbSfbQ+Pg4HR0dFItFFEUhHA6jqqp93ln9lKxjer3eGf+m3xRNP68LhQLFYhFd1+3f94VK9AqFgn2RP/3xW72Xzj8nM5kMfr9/0dwAnzlzhtHRUfu/29raqKysnMcVCXFpDMPgyJEjpNNpGhoaaGhomO8lXTGrJ93016ALleAWCgVcLtdl9dGyXuumD1ewpoFe7Djt7e0MDw8TCoVYs2bNvPTuMgyDkydPMjk5STgcZs2aNRd9X7ayb3t6euz3disjNhgMUlFRQVlZ2RU9FsMwGB8fp1gsEo1GLylAZhgGExMTDA4Okk6n7ewyr9dLNpslkUjMOphi+vqmbzZdSCgUsid0+ny+y35sQojF6bKCUm9961u555576OrqYv/+/WzatOmiHxdCXJzVY8UKsky/cbWyKqwGwPPFGs9uZWBYpUqaphEIBKisrCQUCtnlRBMTE3YPm3w+P2tp0fUUCoXssqR0Ok0ymSSTyeB2u+1Ai8vlKnkcgF0SZZVVWf/S6TQTExNMTk6Sy+VwOp12ACGfz1/wQu38Y1rBqOmsYMalTiG7EI/HY/8erD49hmGQTqdJpVKkUimSyeQV/wwrEGidl5bp2UyBQIBcLkc8Hicej1+wbM260J1+vrtcLgKBgP285nI5e91WoO78m6BIJILD4WB0dPSC55j1t+N0OvF4PHYWVzAYLLlZSCaTnDlzxl6z1SvECh6BGfxpa2sjGAxe0XMork4ul+PgwYN28LmtrW3BZhQIcb7R0VHOnDlzQzY8V1WVyclJu/n3+a+3Ho/HzkxyuVyMj48zPj5ONpu1sz/D4bCd9er3++33YOt13rq+yGazFwx8hEIhIpEI5eXlJa/D2WyWgwcPArBmzRoikcj1fUIuIp/Pc/DgQXRdp6WlhZqamlm/LpVK0d3dTSKRAM4Fds5/bp1OJxUVFdTV1c0ILBmGYWf+RiIRO8s3Ho/T1dVFJpOxv9bn81FWVobT6bQDR1apvHV9Mj4+ftHNHDA3bsLhMIVCgWw2e8EScev37Ha70TTNHnwxfU1gZvLW1tZSVlYmr+eLSC6XY2JigkQigdvttq/vrEzwm5mVcWi9lvr9fvufNfTlZnVZQan77ruP1tZW7rzzTn7605/awacLfVyIG4mmaeTzeRwOxwWbCj8aXdft1GUr8yWbzaKqqv2iEwgEKBaLdvbL+TuCwIyLMivjxOfz2TtMVgq0FRgpFot2k+PpL2q6rpPL5UgmkyQSCTs4YQVdrFIhK5NpevBk+k35xVg7e/F4fNbSqOlZOefvnFqBOSuTxmrybD0f1kQwa63TA3bW82L1zxkZGbmq4M6VCgQClJWVoaoq6XSaTCZz2euwgl1er9c+h6xzw+/32xf11nNnNXQdGxu7aC+i6TweD2VlZYTD4ZLf+fS1Wun3FyoVc7vdVFVVUVVVdcHdVytDbvokNqtR7JVckEyfoOTxeEr+PlVVZXh4mOHhYcBsLHyh8sGLUVWVzs7OkmwcS11dHY2NjTfUjeRiNDQ0RCKRoKWl5aa/sBU3FsMw2L9/P4VC4aLBirmk67q94WS930zPaJ4+rfN855dLXy6n03nB9y3rfX/6Os//2ubmZmprawE4deoU4+PjlJeXs3Llystey7U2MDBAV1cXTqeTjRs3lpSrFYtFuru7GRkZAczHWlNTQ319PS6Xyw72xONxRkdH7esvh8PBsmXLqKioAMznpKOjwz4OQDAYxOVyEY/HgXPXFKlU6pJ/Ry6Xi+rqaioqKigWi+RyOfL5PG63m/Ly8hnlhdb5YrEymi90/VwoFOygpRWQA/MasqmpyX58c2l69rLVB1JVVTuYev71qnWdarH+RqZng1ubbtMb5N+IQTdrImWxWJzxXBQKBfr6+piYmLCn5rrdbntgy2wURaGiooLa2lpCoRCapjE+Ps7w8DC5XI5YLEZNTQ2BQOCS12cNh7HOcWvj81qwgrWJRIJgMEgsFrOzz62gcDwex+l02pve1kaz1Z5h+mtpPp8nHo9f9O/Ruufxer0sXbr0psomvKLyvebm5lmDTxf6uJg/1o2rw+GYUeJxs8tmswwPD9tZHedf9ExPXbb+WX1drCyg6aydoLli7VbNlpFilQGdnwZ/paygkxVUsDJQrN3T6W/QVtZOJBLB6/VeduT/ahpdFwoFBgYGGBoaQtd1vF6vncljTf2yLjiml11ZPxewgylWTyK3201ZWRnl5eUlO4TZbBan00l5efmM4Mz0EofpO5LTf970oI1V9nX+hb6qqjMu0M83PTstn8/bF0aGYRAIBOzHH4lELvvCyLoZsN7wDcPA6/Uu6uBMOp22sxetkrzFUgInhJg/VrDC5/OxcePGebkes0q0+vv7SafTlxys8Pv99obY9GtJXdeJx+P2tDtN0ygrKyMWi1FeXo6qqiVZr7lcruQ6yRoyYV1f+P3+Wd8Lc7kciUTCzloGWLJkCeXl5Rw9ehSADRs2XPLN7PU0vVwzEAgQjUbt7Nve3l77WrOyspLGxsYLTiy1bnr7+vrsAM6SJUuoqanh9OnTdtm5z+ebsYFUU1NDQ0MDbrcbVVVJJBJ2VreV+Wz9DOscsMrq5ur9PZfLMTQ0xPDwsN2aYfPmzdes55QVBJheiZDJZOzekhcaEjKdNRTE4/HY132Xugl4/nH8fj8Oh6NkM7CqqoqGhoYFlR1TLBYZGhqyN86tx2v1aquoqCCRSDA0NHTR149IJEI0GkXTNLtn6PS//WAwaFdfnC8cDtvlnedPH56+IWuVqE6nKAobNmy45J5u57OqDEZGRhgdHS1Zn6IoRKNR3G43ExMTV3x/5fV67T6f1j1lNpudcT5u3rz5ohONFxsJSi0A09/U4/F4yc3r+Zkz1o3S9AyR2f6pqsrIyAjDw8N20MLv91NdXU0sFrNfmCcnJzEMg3A4bGcXTL8Bs1J7L8aKVLtcrqv647EyNM7fabEuatLpNIqi2NlGjzZKfDaqqjIxMcHw8DDJZHLG561mxFeTbWM1q7TWaaWrWplT1nMVDoftgIGV/XN+zyQrrdoKkqRSKUZHR0t6CwF2D6NUKjVrYMxKfQ+Hw3aatxXJP78R5fSyKqu/wcWCIpqmMTExQTabpayszC7lm09WIOVqgwlW1tZ8P57LZV1oLubgkRBC3Eg0TWPfvn1omsaKFSuIxWLX7WdZgRzA7p+XSCTo6emxgxlg7spb5ddWNrK18TT9WvNSAgXWddOl9DfM5/OXfNzzf0Z/fz89PT3AuYyrqqoqli1bdlnHup7S6TRHjhyZ9VoyEAjQ0tJyyZNPDcOgu7ubgYEBwHx+rb6Uy5cvp6ysjEKhQCKRIJfLUVFRccU35PNB0zROnDhBMpmkurqa1tbWKz5WPp+3+0rG4/HLah9h3Xt4vV6cTiepVOqC5YnTz/HpLR+sHp3WfYQ13OVi6/B4PLS0tNhBXCtz0QrYztWmWKFQoL+/n+Hh4ZL1Wvedsz0X4XCYJUuW4HA47A1Rl8tFWVnZjHVbwaShoSHGxsbsvw2v10t1dTWBQICRkRHGx8cva93W/YuiKHbAr6amhpaWlss6TrFYZHR0lJGRkZJML4/HQywWI5FIzMgAsx4rYFcYWBvNVisN677KWqfV4222nrPnT3Gurq6+4e4/roYEpeaRlfp4fiT2WruaQIv1Im29UE//X4CJiQl7ogyYpTO1tbVEo9FL+kOyItJWOu/03R4r6HSh3jRWrX11dTWhUGjWr9F1nUKhQDKZZGxsbEbaZHl5uT0lxXrxOD+N13qhsQJmVsDJyhixjud0Omc0Nb5erN491pvW9KBRoVCwA3jWC+ONOnVLCCGEWCy6u7vp7+8nHA6zdu3aa358KxOqr69vxmCM6ZubdXV1VFVVXXGrgvk2PDxMe3s7YD62TZs2LbiMAus6zcqCUFWVqqoqampqrug5Hx0dtScM+v1+Vq5cuWhKexKJBMeOHUNRFDZu3HjZj0tVVXp6ehgaGir5uHWNbp37brfbzuAJh8P25r+VDHB+hp5VSmmV81mleJfbvN/KhtF13U4oyOfzdHZ22hvJ1iCX81nZQlZ2vaZpdp9Mq6IjFovNCERabUKsAEehUMDr9dLY2Djj/LMCvdbzFAwGqaqqIhwO29mHVnbS5OQkbreb+vr6S77XO1+hUGBiYgKv1zvjGIVCgZGREbvPXC6Xm7XXWiwWswf9WL+PeDzO8ePHcTgcbNmy5ZLK/K0MxoGBgZLAeiwWo7q6umSQUDabtVtmlJWVXbfBSjcrCUrNA13XGRgYoK+vz/5Dc7vddrqztfOjadqMnafp5TTTa5inZ71MT8WtqakhFothGIYdAU6n0/YLgTXZw6qLPT8D51JZk9AsPp+PSCRiv4g7HA77RdlK37YmT00/BS/UU8nn89kZRdNHyluCwaA9Fcv6d/649enHqqyspLq6WkbTCiGEEGJOFAoF9u/fj2EYrF279pKzZS7GuulNJpMMDg7au/nTm1hb/11dXU19ff2iuPaZmJigq6uL2tpau7/UYpfJZEgkElRVVS2okq9r4fjx48TjcSorK2lra7uk77GmDHZ2dtqb46FQiPLycsrKyuxSU6sa4fzpyfNN0zQ7IGKxpi9b90yXKhgMUllZaQemZ6sGAaivr6exsdH+b2sIA5jPXUNDwxUHm64HK4NouvMDiNO/9vDhw2QyGZqamliyZMlFj53L5Thz5oydPWoF4yorK6Vv5TyQZ3wOaZrG2NgYfX19dvZPMBiksbHxmr0AWOmihmHMuOiw3rg1TZvxwmylH07vHWOteXoq4fT/1XWdaDRKeXk5kUiEfD7P0NAQIyMjF2ySPBuHw2H3ILCmg1hBNk3T7OaN0+m6TjKZZHh4mPHxcdLp9AUDalbJ3/R+CEIIIYQQc8nquTgyMsLQ0NBVBaWy2Sw9PT0kk8mS0hqn00lNTQ11dXW43W50XadYLNrlI4tFeXk55eXl872MOWW1hFiMGhsb7Qbv9fX1j1qCaBgGZ8+etYeT+Hw+WlpaiEajM77WyoRaaJxOJ0uXLqWmpoZ8Pj/jfkdVVZLJJIVCoaS01iqBLRQKpFIpO6ng/PugQCBg92QyDIPBwUH6+voIBAJUVFSQyWTsjMO6ujqampoWTDDK8mh9Vc//2traWtrb2xkcHKSuru6Cwavx8XHa29vtzLPW1tZ5abQvzrmsTKk3vOEN/OIXv2BwcJCKigrC4TBnzpy54MeF6fxmfmBmRjU1NVFZWbngXgCuljU+eHoPJcMw7LI3n89np51aU9WupveNVQdsvWhbdd3Tj7/YnmMhhBBC3HisUiWXy8XWrVuv6PqkWCxy+PBhOxtcURSCwaDdQmExBZ/EzePkyZNMTExQUVHB8uXLL/q1Y2NjnD59GkVRWLJkCfX19TdtH81isWg3/lYUxQ7Ynl/S2tXVxcDAAA6Hg1WrVnH27Fny+TzRaJRVq1YtinslXdfZt28fqqqyfPnykkCTruuMjY0xMDBgZ5SGQiHa2toWTSnsjeyKyvfEpZueFglmWmZNTQ01NTULMmovhBBCCCGuD13X2bNnD7qus379eoLB4GV9v2EYnDhxgng8js/no7W1lVAodNPekIvFI51Oc/jwYYCL/m2oqsrBgwcpFoszytHEhRmGwfHjx+1pjmBmb65fv35RTRnu6emhr6/P7t2nqirDw8MMDAzYWaVWb72bOZi50MhWynVmNUGLRCLU1tZSVla2KCLRQgghhBDi8jgcDqLRKBMTE0xOTl52UKqnp4d4PI7D4WDFihWLtpxL3HyCwSCxWIzx8XGGh4cvOEGtt7eXYrGI1+ulvr5+jld541IUheXLl3PkyBF7eNPKlSsXVUAKoKamhv7+fpLJJGfOnGF8fLykh3NtbS01NTWSUbrAyG/jOvN4PGzZsmXR/cELIYQQQojLNz0odTk31ePj4/T39wPQ2toqASmx6FRXV9sTuZubm2ds5KfTaQYHBwFoaWmRLJfL5Ha7WblyJT09PVRXV192UPxG4PF4qKioYHR01O455vf7qauro7KyUs6ZBUqCUnNAAlJCCCGEEALODZdJpVKoqnpJO/b5fJ6zZ88C5uCaysrK67lEIeZFJBLB5XJRLBZJJBIljcsNw6CjowPAHo4kLl8gEGDlypXzvYzrqr6+nmQyic/no66ubkFNFBSzk1ChEEIIIYQQc8Tn8+Hz+TAMo6S/y4VYN+OaphEKhWhqapqDVQox9xwOB7FYDDCbmU83MjJCKpXC6XTS3Nw8D6sTNwq/38/mzZtZvXq1tM65QUhQSgghhBBCiDlkZYBMTk4+6teOj48zOTmJoigsW7ZMyk/EomYFpcbHx7Hmcem6Tm9vLwANDQ14PJ55W58Q4tqTdzUhhBBCCCHmkFV6FI/HudggbFVV6ezsBGDJkiX4/f45WJ0Q8ycajeJyuVBV1c4kHB4eplAo4PF4qKmpmecVCiGuNQlKCSGEEEIIMYes6cz5fJ5cLnfBr+vp6aFYLOLz+WTSmLgpKIpSUsKnaRp9fX2A2StIMgWFWHzkr1oIIYQQQog55HQ6CYfDwIVL+JLJJENDQ4BMGhM3l4qKCsAs4RscHKRYLOL1eqmqqprnlQkhrgd5dxNCCCGEEGKOTS/hm42VHVJZWVkyhUyIxS4SieB2u1FV1e4lJVlSQixe8pcthBBCCCHEHLMCTYlEAl3XSz43fTJfXV3dnK9NiPk0vYTPMAx8Pp9kSQmxiElQSgghhBBCiDkWCARwu93ouk4ymSz5XDqdRtd1nE4ngUBgnlYoxPyxglJgTtxTFGUeVyOEuJ4kKCWEEEIIIcQcUxTFzpY6v6+UFaQKh8NyMy5uSpFIhFgsRiwWs3tMCSEWJ9d8L0AIIYQQQoibUTQaZXR01C7Vs0wPSglxM1IUhRUrVsz3MoQQc0AypYQQQgghhJgHVqZUOp2mWCwCZg8dCUoJIYS4WUhQSgghhBBCiHng8XjsnlHWFL5cLkexWERRFEKh0HwuTwghhLjuJCglhBBCCCHEPIlEIgB2CZ+VJRUKhXA45FJdCCHE4ibvdEIIIYQQQsyT6c3OpXRPCCHEzUaCUkIIIYQQQsyTSCSCoigUCgVyuZwEpYQQQtxUJCglhBBCCCHEPHE6nXYAanR0lFwuB0hQSgghxM1BglJCCCGEEELMI6uEb3BwEIBAIIDL5ZrPJQkhhBBzQoJSQgghhBBCzCMrKKVpGiBZUkIIIW4eEpQSQgghhBBiHgWDQZxOp/3fEpQSQghxs5CglBBCCCGEEPNIURQ7WwokKCWEEOLmIUEpIYQQQggh5pkVlPJ4PHi93nlejRBCCDE3pIOiEEIIIYQQ86yyspJkMkl5efl8L0UIIYSYM4phGMZ8L+J8hmGQTCbnexlCCCGEEEIIIYQQ4gqFw2EURbng5xdkplQymSypqxdCCCGEEEIIIYQQN5Z4PE4kErng5yVTag4kEgkaGxvp6em56C9DiIVMzmOxWMi5LBYDOY/FYiDnsVgs5FwWi8H1Oo9vyEwpRVEW5R9zJBJZlI9L3FzkPBaLhZzLYjGQ81gsBnIei8VCzmWxGMz1eSzT94QQQgghhBBCCCHEnJOglBBCCCGEEEIIIYSYcxKUmgNer5f3ve99eL3e+V6KEFdMzmOxWMi5LBYDOY/FYiDnsVgs5FwWi8F8nccLstG5EEIIIYQQQgghhFjcJFNKCCGEEEIIIYQQQsw5CUoJIYQQQgghhBBCiDknQSkhhBBCCCGEEEIIMeckKCWEEEIIIYQQQggh5pwEpYQQQgghhBBCCCHEnJOglBBCCCGEEEIIIYSYcxKUEkIIIYQQQgghhBBzToJSQgghhBBCCCGEEGLOSVBKCCGEEEIIIYQQQsw5CUoJIYQQQgghhBBCiDknQSkhhBBCCCGEEEIIMeckKCWEEEIIIYQQQggh5pwEpYQQQgghhBBCCCHEnJOglBBCCCGEEEIIIYSYcxKUEkIIIYQQYg5ks93s3/9Kxsbun++lCCGEEAuCBKWEEEIIcVMaG7uPvfteTF/f9+Z7KeImMTDwE8YnHqCn92vzvRQhhBBiQXDN9wKEEEIIIa4XTcszPn4f4ch6fN5aAHS9SHvHp+jq+m8AJid3kcl20LbsXSjK7Pt1Q8O/ZHzsflpa/8Y+jhCXK5U+CUAm0z7PKxFCCCEWBglKCSGEEGJRMgyDo0f/hpHR3wIQjW6luupJDI/8mnh8HwDl5bcxMfEw3d1fIpfrZ83qj+F0eu1j6HqR02c+RG/vNwCIJw6wdcv3cbsjc/+AxA0vlToBQDbbi67ncTi8j/IdQgghxOKmGIZhzPcihBBCCCGutd7eb3Hy1PswuxXoJZ9zOkOsXv1haqqfwuDgzzh2/F0YRpFweC011U8jWrYVr6eWo8feTjy+BwCXK4yqJikr28GmjV/D6fSi60X6+r7D2NifaGv7B0KhlXP/QMUNQdMy/OneDYB56X3LLb8mFFw+v4sSQggh5plkSgkhhBBi0UmlTnL6zL8BsHz5u6muejIjI79heOQ3OBQPq1Z9AL+/CYDa2mfi9dZw6PAbSSaPkkweLTmW0xli7ZqP4/PVs3ffi5ic3MXRY2+nfsmLOH3m30inTwOgnkyxdcsPUBRlbh+suCGk0qexAlJglvBJUEoIIcTNTjKlhBBCCLGoaFqWXbufRSZzhoqKx7FxwxcvKVCUy/UzNPwL4pN7mYzvpVgcJxhczob1nycQaAFgfOJhDhx4DYZRsL/P7S5H0zLoep6NG79MZcXd9udUNcnAwI+prPwz/P6Ga/5YxY2jr//7nDjxbvu/l7X+Hc3Nb5zHFQkhhBDzT4JSQgghhLhhGYZBV9fn6R/4f7jd5fh8SygWx5mYeBiPp5pbdvwcj6fiio5bKIzi8VTOCGgNDf+SI0feiqI4aKh/OS0tb6Wz87N093yZcHg927f9BEVRMAydgwdfy9j4fXg81Wzb+n07O0tcO6qapLf320Qi64nF7pjv5VzQyVP/Sm/v11EUN4ZRpK72OaxZ89H5XpYQQggxr2YfMSOEEEIIscDpepHjx9/F2faPk812kkjsZ3j4F0xMPAworF3zsSsKSAEoioLXWzVrhlVN9VO5ZccvuO3W37FixXtwu6MsXfoGnM4AyeRhRkd/B0Bn5+cYG78PgEJhmP37X0k+P3TFj/dmpqopurr+h9HRP2IYmv3xicnd7Nz1NM62f5T9B17F4ODPLnqcwcF72LPneQwP//q6rXVo+Ffs3fsiEonDJR+3mpxbgbN0puO6rUEIIYS4UUhPKSGEEEIseAMDP2Zo+JeUlW2nsuJufL56Dh/5a8bH70dRnLQt+wd8viXkcn3kcv1Eopuua9bM+Q3NPZ4KGhteSWfX52nv+BROZ4D2jv8EYFnrO+kf+D7ZbDf7D7ySrVu+i9tdft3WdiMyDJ18foiiGicUXI6iOO3P6XqeQ4ffyMTEQwB4vXUsWfJCNC1Fd/eXAQOnM4impTl67B3oeoElS55fcnxdVzl79iN093wZgMNH3szytn+iqek19tdoWpbJ+F6CwTZ83toreAwG3d1f5MzZ/wCgu+fLrFv7KftzqdRJAKqrn8LY2J/IZNoxDGNR9CDT9QKalp71vM7lBognDlBZ8fiSyZZCCDEXDENHVVPXdWru+PiDjE88REvzm3E6A1d1LMPQSt4DbwZSvieEEEKIBe/+B26jUBi2/9vh8KHrORwOP+vXfZrKysfN4+pMxeIkDz70WDQthcPhQdcL1NU9jzWr/4Nstoe9e19IvjBEJLyBrVu/j8Phmdf16nqRjo7/IhhcTm3tM+bl559t/zjj4w+QyXSi61kAotEtrFv7n/h8SzAMjSNH38bw8C9xOgMoigdVnSw5Tl3d81mx/J84c/aj9PV9G4AVy99Ddc3TcDp86Hqeo0f/lvGJBwEoi25nMr4bgMaGV9Hc/Cb6+r5DT+83KBbHURQXNTVPp6npdYRDqy64flVN4nQGURQHhqFx8tS/0tf3LfvzLleUu+7chcPhIp8f4oEHb0dRnNx1527uu38LAHfdueuKs/nmkmEYDA3/3Hxuqp9S8rl8foS9e19AoTjO1q3fL3nONC3Hzl1PIZvtxudroG3ZO6mu/otFEYgTQtwYjh3/BwYG/h+trW+jeekbUZQrKxbLZDpR1QSRyIaSj6tqigcfeiyqOkld3fNZs/rDJZ/PF0aZnHiEqqonXvR9P5PppLvnq8Tje9ix/Z6bKjAlQSkhhBBCLGiFwhj3P7ADUKioeAwTE4+g63nc7hibNn55xgXifGrv+C86pjKkQsGVbNv2/3A6/YA5fW3v3hegqgk2bvjSVQXSNC0LKDidvpKPG4ZBX/93yeX6aW15Cw7HhTNTurr+ZyqrR2Hzpq9fl8wyXS/Q2/stAoGWkser60WOHH0bIyPnyugUxYWiOND1Ai5XhDWr/4Px8Yfo7fsmiuJm48YvURbdzsjIb+jr/x753ADLl7+bqqo/tx/76TMfoqfnK7OuxekMsHr1R6iuejLdPV/izJkPT/1cp10S6HJFUdW4/T0VscewatWH8Pnq7I9pWoajx97ByMj/oSguvN4aHA4PmUwHoNDW9g90df03xeIEW7Z8j/Ky7YyN3cuBg68hEGjjtlt/w4MP3kUu38/WLd+nrGzbNXu+z2cYBidPvZdU8jjrN/w3Xk/ljM8bRuGi54mmZTl+4t0MDd0DQEvzW2lpeSuKoqBpGfbuezHJ5BEAIuENbNv2I/tm6mz7J+js/GzJ8SKRTaxc8S9EIutn/CxVTQEKLlfwah72FTEMgxMn3k0uP8CG9Z+3/26FEDe2+x+4lUJhBICKisexds3HcLvLZv1aTcsBzHhvzeX62bnrL1DVJFu3fK/kdbur6wucOfsR+7/XrvmkvdGTzfaxb9+LyOX7WbLkRaxe9W8zfmY8vp+u7i8xMvIbrAmtmzZ+lYqKx1zxY77RSE+pOZDNdhNPHJzvZQghhBA3JKsXj9/fxKaNX+Exd+1l86ZvcMuOXyyogBRAU+Or8XpqcLkirF//2ZIb21BwOdVVTwZgfKoU7UpMTOziwYcewwMP3kpf3/cwDB0wM3cOH3kTJ0++h66uz3P02N+V9F+aLpfrp73jv6b+y+DI0beRyw1c0XrGxx9k566nc/r0h+wLeoBiMcGBA6/m9Jl/4+Ch13H02DtQ1SS6rk4FdX6NonhYverD3Hbr77j7sUe49ZbfEAlvQFUTHDr8Rnr7vgkorFnzUSpid+J0eqmtfQZbt3yH22//ox2QArMP2PK2d9Pa8jZcrghwLhvH729m29YfUVP9FBRFYWnT61m79lMoigfD0AiFVrN2zSe5685dbNv2Y6qrnwo4GBu/j127n8H4uPn7yhdG2bvvJYyM/J/5zBkquVwfmUwHDoeX9es+w9Km11ERM28mxkb/AGCX7oVCKwAIBFoByGTar+g5v1R9fd+hr+87xBP7OXb0Hfa5AmZJ45Ejb+FP967n0OE3MjZ2f8nnwbyh2rv3hVMBKfO2oaPzvzh79iN2FlsyeQS3O4bLFSaRPERP7zcASKfP0tX1PwCsWf0xWlvehtMZIJE4wL79LyEeP1Dys+Lx/Tz40J08/MgTyOX6ZzyWoeFf0tPzda7Xfno8vpf+gR8wPn4/PT1fvy4/QwgxtwqFUTsg5XB4GRv7I7t2P5OxsfvQ9aL9dcXiJGfPfoz7H9jOI4/8OZlMl/05w9A4evTtqGoCMDh56v32e6umZejq/hIAkchmAE6cfA+ZTCe5/CD797+MXN58Pevv/x4jI78tWd/Zsx9nz97nTW3QGFRUPJbNm79FLHbX9XpKFiTJlLrOBof+l6NH30YkspHt234838sRQgghbjhd3V/kzJkPU1X1ZDas/+yjf8M8KxYnMQwdjyc243PWdUEotIpbdvziso/d3/8jTpz8Zwzj3MV0WdkOljb9JafPfIhMph1FcQNgGEUaGl7OiuXvm1EudejwmxgZ+Q3R6BZ0LU8ydZRoZDNbtnznkssKDcOgt++bnD79QfsCPRBYNtVgvpIDB19DOn0ah8OPrucBHa+3jnBoNaNjf0BR3GxY/zkqKx9fclxdL3C2/eN0T13or1j+XhobX3nZz5VhGOh6Dk3L4naXzVqykUqfRi3GiUa3zniOMpkODh95K6nUMcBB89I3MDj0c3K5Htzucjas/298vnry+UHy+SHC4bX4/Y3Aud9zMLicW2/5NUePvoPBoZ/S2vp2WprfzMlT76e39xs0Nb2e5W3/cNmP7XyalkNRHCW/u1TqJLv3PHvquVcAw/75VlZQ/8APSo7j9zURiW7EMDQMQ2dychfF4jhud4z16z5DMnWM06c/CEAwuHzq9+thy+Zvk0qd4sTJf8Lh8HPrLb/i+PF/YGLyESoq7mbjhi+hKAr5/AhHj72diYmHcLnK2Lrlu4RCK4gnDrJ//yvQtBQA4fB6tm75vt2DamDg/3Hs+N8DsHXrDyiLbr3q5+x8Bw+9wR5S4HKFuf22P15y7zdNy5BKnSAS2SyliUIsIOPjD7L/wCvw+5eyft1nOHz4zWRz3QC4XBEqKh6L11tDX9/37NcfAJ+vnq1bvofPt4SOjs/Q3vFJnM4QiuJAVROsWPEvNDa8nO7uL3P6zIfw+5q49dZfs3//K5mM7yYcXoumZclk2vH7migrv4WBgR/idse4Zccv8Xqr6Oj8LO3tnwCgtvbZLG16/Yx+lTcLaXR+nZWX3QooJBIHyWb78Pvrr/vPTKfPMDzyG8Kh1USjm0veUHVdRdezuFzhKz6+rqu0t3+CsfH7WL3qQwtul/p6UdUk4JiXlHIhxIUZhsHAwP/D662houLm2lm6WaSSZqZUOLR6nldyaS5UFgAQK78NMLO/CoVRPOeVU12IYWicOftRuru/CEB19VOJRDbS3v4pJid3MTm5CwCvt5b16z5LNtfD0aNvo7f3m3g91TQ3v8k+1ujYnxgZ+Q2K4mTVyg/idPrZtfuZxBP7OXX6g1RUPJZEfD+JxGG83mpaWt6C399Ush5dL3Dy1Pvp7/8eAJWVTyCROEQmc5Y9e5+HyxWhWJzA46lm08Yvo+lZjh37O7LZbvL5ARTFNdULrDQgBeBweFje9o9UVz2JopqgsuLuS3qOzqcoCk6n/6JlWKHg8gt+LhBoYdvWH3Ly5HsYGPwxnV2fB85l7AUCLQAlpX2WithjUBQn6fRpstkeUmnzHA5N9Vs6lyl19RP4NC3Hrt1PI58fobX1bTTUvxzDUDly9G3oep6K2GOorn4qx0/8A+3tn6KsbAcT4w9OBaQcrFzxPtKZswwM/Jhsrtu+YbOEw+vYsP7z+HxLKC+/BYfi4eSp95JOnwZgzZpPEI1uIRLZxODQPUxO7mTvvheTzw/gcHhZueJf7ECN11vFhvX/zf4DrySR2M+BA69ixYr3cvzEP6BpKaLRraTTZ0kmD3Py1PtYverfGRv7I8dP/KO9nqGhn1/zoFQ63c7o6O8B8PkayeV66Oz8PMuXv/tRv7dQGGPf/peSTp+mufmvWdb6t9d0bUKIK2dlWodCqwiH17B9+8842/5Rhod/TbE4ztDQ/9pfGwqtoqnp9XR0fJpstpP9B15B27K/p6PTzCpeufL9aGqKk6feR3v7J6iq/DO6us1s0ObmN+FweFm79hPs3PU0ksmjAPi8S9i8+Vt4vZUkk0dIpY5z/MS7iJXfYQek2tr+kaVNr5vLp2XBuaxMqbe+9a3cc889dHV1sX//fjZt2kQul+NFL3oRx44dw+/3U11dzec//3na2tqu57pvKHv3vZjJyV0sb3s3TU2vverjGYbBmbP/wfj4g6xY8V7Ky7bbn5uM7+XgwddOBVBMgUArLmeIfH6IfGEE0AkFV1Jd/RSqq59CMFj6u8pkOhgY/AmDg/egaWmaGl9DY+NrcDq9FIsTHD7yVnsCjsdTxfZtPym5ICsURhkbu5fKyj+/qikHk/G9jI3dS1Pjq+d9SlEyeYx9+1+OojjYsvnbdvq9uDEtlmlHwmTtoDscHu64/YEbommwuDw7dz6VVPokGzb8D1WVfzbfy7lq1uNZt/Y/qal5mv1x85JMn9HctFic5OixtzM2di9g9fR5C4riIJvt5eTJ9zA2fh/lZbeybt1/2oGu7p6v2lkt9UteTEXF3UQiG9m79wVkc900Nb7WvukeGf09hw795azrVRQPTU2vpXnpX1EojDA09AsGh+4hkzkLKLQt+3uaml6PqsY5cfK9DA+bGWDB4HI2bfwKPt8SAFQ1zZmzH2Z09A+sWPFeqquedM2e0+vJ6tN1+vQH7QDNpbzO7N33EiYnd7K87Z84c/YjGEaR22+7F7+/wd69DwRaue3W3z7qsS6mf+BHHD/+Lvu/Q6HV+P1LGRn5NR5PJTt2/AKPu4Jjx/+OwcGf4nSG7IyAVSs/SH39iwEz22dk5HcUimMoOFAUJy5XhKqqJ87orzIw8P9ob/8UTUv/ksaGl9sfz2Q62Lnrqeh6AYBlrX9Hc/MbZ6y5WJxk774X2YEtMBvQb9z4ZeKJ/Rw48GpAp6HhFfT3/wBdzxEOryWZPIrHU8mddzx0TZsAnzjxz/T1f5fKyj+jof6lHDj4GhTFw223/s7eUB4bu59U6jhLljzfvi4tFifYt/9l9o0vKGza+JUr7gUzMPAT4ol9LG9794xgajy+j6HhX9Ha8tar2lwW4mZy7Ng7GRj8MS0tf0Nry1vtjxuGRjxxgNGR35PJdlJT83Sqq56EojjI5frZu+9F5HJ99tfX1DyDdWs/iWFo7N79bJKpo3i9teTzg/h89dx26+9xOMws5ZGR33Lo8BvxeqrZsuU7BALNAKRSp9i955n26yNAa8vbaGl5y9w8GQvYZQWl7rvvPlpbW7nzzjv56U9/agel/vCHP/CUp5g1+p/5zGf40Y9+xJ/+9KfruOwbS0/vNzh16v1EI5vZtu1HV328vr7vcuLkPwNMjcF+F42Nr2F84kEOHfordD1LMLgcw9CnLhgvzu2uwOUK4XQGMAy15ALB4vPV09T0enq6v0I2143TGcDjqSSb7SYcXsfWLd/D6fQTj+/n8OE3ky8MEQi0sHHDF+2dRICRkd/R0/NVqqqfTEP9yy4YGJiYeIQDB1+Drufx+5eyccOXCAbNXUVrAszo6B9oaX7zjKDatZbJdLF33wsoFEYB8Hpq2Lr1B/j9DfbXaFpuqulu9FGPl812Tz3nknE11wzD4PCRNzMy8hscDi9OZ3BqFz2A0+HHYf1/+38D1NQ87bqUCSwUhcIoiuK6aGbHQpbL9fPIzqfYN1gL8c3dMHQMQ7MvVsTl0fU8f7p3A4ahcsft99sBjhvZqdMfpKfnqyxZ8kJWr/rQuY+f+gC9fd+kpvrpLG3+K0LB5SSTRzl0+M3kcj04HD5Wr/4wtTVPLzmeYRjkcn34fEtmlKidOftRurr+e8YavN5abr3lN7hcIftjHR2fpr3jPwkG24hENhEJr2dk5P8Yn3gAMBuFa1rG/nqXK8zaNZ+c0bB9ePg3JJKHWdr0l9d1BPdc07QsDofvkjc1rEbyPl89uVwfTmeIxz7mAIqikMv18+BDd6EoLu5+7JGren3YtftZJJOHqah4HPH4/pLphNOb5apqmt17nm1fG55/k3atdHZ+nrPtHyMQaOOWHf97wXLQXH6QvXtfSC7XSzS6lU0bv2Kfj52d/83Z9o/aX1tR8TjWr/s0Dzx4J6o6yeZN3yQWu/2arLdQGOPBh+5C1/Ns2fxdysq2s2//S5mc3Eld7XNYtuzvOXX6Xxke/iUATmeIpU2vo67uuRw6/FdTgbIqysq2Mzz8S9zuGDu23zNrBt3F5AujPPTQXeh6YUYwT9PyPPzI48nnB6mvfwmrVn7gmjx2IRa7XbueQTJ1lA3rP09V1RMv+fsymU727nsxhcIwPl8Dt+z4uR0Mjsf3sWfv8+2vnR7cP/f9HXg8VSXvsQA9PV/j1Gnz73dp0xtYtuydslHOFfaUam5utoNS59uzZw/Pe97z6OzsvAbLWxzMMcB3AMZVX1AnEofZs/cFGEaBUGg1qdRxAMrLb2Nyci+GUSAWu4sN6z+H0xmgWJwgHj+AYah4vTV4vbUoiovRsT8wPPwrxscfLOlLYXJQEbuT2tpnYxgqZ9s/Tj4/aH/W52tk44Yv4HQG2L3n2RSLE1RXP5VY+e1Tjd/OHc/lirJ+3WcIhVZx6vS/lqRIVsQew+rV/4HXW13y082+Ai9H09IoigvDUHG5omxY/zncngpOnfwXJiYfmVpLPdu3/aRkx9IwNBKJw7hcIfz+ZhyOK69SzeeH2bP3BeRyPYRCq+2gnd+/lK1bf4DT4ae39+t0dX8JXS886ljy3t5vcfLU+/D56tm29Yd4vTXT1m0wMPBDHA4vNTXPuClfoNrbP8XE5E7WrvnEZV/MTZfPD2MY2oxjDAz8mGPH33lZx3I4PGzf9tMZNd7mS6dxxWNlLZlMB253bNaApjXZabbylsuRSB7B562bsbOfTp9h957n4nKFuGXHr2bcPPb0fJ1MpoP6+pcsyOxAw9A5cOBVjE88iNsdo1gcx+Op5I7b77voJKm5ZBg6+w+8glTqJNu2/qAkSC8uTTJ5lF27n4HLFeExd+1bFK+No6N/4OCh1+P3NXH77X8EzADrQw/fPa0xuUJF7C4mJneaGzS+Jtav/xzh8OWVMBqGwdjYHxkd+xMTEw/bjbXXr/sc1dUzM5UMQy95XTMMg9HR33P6zIfIZrtQFCfl5bdTU/00qqqeuKiCTtdaOn2GR3aee46j0S1s2/pDwHye/3TvBnQ9y623/NbeeLtc8cRB9ux5Dori4c47HgAUzpz9CAMD/4+W5jfT2vq2kq9PpU5y9Ng7qKy4m9bWd1yXvyfD0Bke+Q3R6GZ83tqLfm0+P8zY2H1UVz+lZLPO3ER6EyMj/0ckspktm7+J0+nn+Il309///RkB3fOpahqn039J79HWxExzcuCPURTFfl7NSYAhVDWJojjx+RrJZjunvtPs0+V2x9iy5Tv4fU3s3ft8sz9bdCtbNn/7soKNZ85+jK6pElGXK8Ltt91r/311d3+F02esqV0Obtnx8xnXJZqWm5HRBma57uHD5rmwtOn1Mz5vGNpNNXpe3Dx0vTi1qVXg9tv+OKMM/dFkMh309H7DvA4+r9T72LG/Z2Dw/+H11nH7bb+/5OtOwzDo7v4fnM4g9fUvXRTXNNfCNQ9KvfzlLycWi/Gf//mf12J9i8aevS8kHt/D8uX/TFPjq+2Pm9NafLPegOcLoxQLYwSDy1EUB8VinF27n0Eu10tl5RPYsP7z9PV9h1OnP2gHgqqqnsy6tZ+45D8MVU2SzfagaRk0LYOu54lENuH1VtlfY00V6O7+EtHoFtat/aSdtjwxsYv9B8zeBZaqqifRtuzvOXrs70gk9qMoLlyuMMXiBOCgpvqpjIz+diqzqJzlbf9IJLIZn6+eTLaDfftegqrGKS+/jTWrP8LhI2+1jwPmpBuHw4vLFaVQGKYsup3Nm7+Bw+GhWJzkyJG/sXd1HQ4PweByyqLbaWn56xllgBMTjzA88muKxUmKxUlUNYHTGcTvbyLgb2Jw6B5SqRP4/U1s3fIDDDR7Vy8QaKFYjFMsjtvHUxQXa9Z8bMYuNkBn1xc4O21caCi0mq1bvovLFcYwNE6cfK/dm6Oq6kmsXvXhi17sL6QStETyCMPDv6J56V9dcUp5JtPBw4/8OWAQCq5k69bvX9GxCoVRHtn5ZDQtx5bN3yQaNSdhFIsTPPzIEykWx2lp+Rvqap89dd5nzf/Vs/bfgaZl0LUso2N/Ih7fSzC4gu3bfmo3XM1me80yF8XJ5k1fL2lmbBg6p07/K5OTuwkEWgkGVxAKrqC8/LaS36em5Tlz9sP09n6DQKCVW3b8vOTvNpE4xO49zwaUGaNnL8fQ8K84cuSvcbtjJUERTcuxe8+zSadPAdDY+BpWLP8n+/us0hJLVeWf09z8pgXVQ66n95ucOvUvOBx+tm//CQf2v5J8YYg1qz9KXd1z7K9LJA6h6fmSUue5Mj0QWhbdzpYt3ym5Seof+BGjo79neds/lWRfinOs0qSyslvYuuU7872ca0JVk9x3/1YMQ7PLuU6f+TDd3V8kHF6Pz1vLyOi5kq7KisezZs3HLikb99Hk8oOoavKivZRmo+t5EonDBAKtszZwFzMZhsHDDz/e7tF0fobLzl1PJ5U6xob1X6Cq6glX9DOOHvs7Bgd/Qm3ts1i75uP2x3W9cMkN6xcqXS8wPvEQ5WU7cDoDAIyPP8T+Ay/H5SrjrjsfnvUxjo3dx+EjbyYcWmtfH1oKhXH27X8JxWKcWOx2YuV3cvrMhygWx1m39r+oqfkL+2sPH/5rhkd+BZiN11ev+hCh0CqGh3/J2fZPks124nKVsWXLtwlP9QrLZDrZtfuZaFqKxsbXsLzt3Zd0raaqSR548E40LWWXVzYvfRPLlpkTKx96+PEUi+N2uVCs/E42bfoaiqJgGAanz/wbvb3fYvnyfyopp1TVNI/sfNJUfy8Pt97y25L3mnj8AAcPvY5odAtr13xiRlaHEJeqr++7FIsTNDS8fMGUl6ZSp9i56yk4ncGpLNWr20ierliM097xKaqrnzov15eLzTUNSn3oQx/if//3f/n9739PIBC4VmtcFKy+DtHoVrZtNSedxOP72LvvxSiKm21bf1iy+5nNdrN7z3PtiSex2J3k80NMTu7E52tkx/Z77BvcePwAp07/K9HIZtra/vGqMoMu5kI7KX393+fEiXcDCsta/46lS9+AoihoWp7jJ/5haowwBIMrWLP6P4hENpBKn+bo0bdPTbQ5R1HcGEaRSGQzmzd9HZcriKblOHb87+0eFZWVT2DF8n9G03Ps2fM8NC3FkiUvpLHhVRw6/Aay2W4cDg+K4iopM3C7K1i18gNUVz+JQmGc02c+xODgTx71cXs8VWzb+gM7up7JdLBn7wspFscA8PuX0tLyVsbG7p16rAorV/4rDfUvmXreDNrbP0Fn1+cAaKh/OUPDv6RYHCNWfgcbNvw3x46/ayot3OzhYBhF/L4m1q3/NJHwuhlrGhu7n6PH3k5V1RNZueL9Jb/zYjHO2fZP4HKFqa56IuHw+isKXhmGQSp1jGBw+UUvbHO5fnbtfibF4jhL6l7A6tX/ftk/C7B3Py2x8jvYuPHLOBxustkeTp3+AJOTe4nFbqeu9jnEYnfNeq5bfSEA3O5ytm75AcFgK8eP/yP9Az8gGFzOju3/e0m7l2aA66kUi2M0NryKFSveQzbby779L7HrzMvLb2fTxq/aa2lv/0+7IeJ0TmeAurrn0tjwqqkx2n9jZzoCMwLW+/e/gvGJBwGz2e6O7T+fdQf0YvL5YR7Z+RS7lMPna5zK0Kuynyfr4ldRXNyy4xcEg21oWpadO59KNteN399MNtsFmG8VZdHtNDS8nKqqJ85rOVoyeZQ9e1+IrmftCShWyUgotIYd2+9BURRGRn7HocNvBHQ2bfo6FbE7S44zMvp70qmTNDX95VW9dpr9ARwlx9C0DA8//ATyhSH7YytWvI/GBjPYNzT0C44cNUtnAoEWtm75gdzsz8IqdbP+BheLPXueRzyxn9WrPkx19VN48KE7UdUkGzd8kcrKx5NKnaS395sEAi00Nr76ml5Mi7ljTdkDWLniX2loeKn9ucNH3srw8C9oW/Yuli6dvZ/XxRQK4zz40B3oeoFt235MNLLxmq17oTIMjQcevJ1CYZSNG740Izs9kTjEvv0vta//ljb9JW1t75r6XoODh17P2NgfZxzX52uY6glz7jU8lxvg9JkPURbdRkPDy0qugXVdZWz8XkLBlTM2FIaHf83hI28GzGu+FSve86iZSF1dX+DM2Y8QCLSxrPXtHD7yJpzOALff9kd6e79NR+d/2W0xHtn5VAyjwMYNX6Ki4m7Onv0oXd1fAMzr6G3bfmRfO5458x92I2YwBySsX/dpwCxH3bnraXbmVzi8lo0bvlyyMX2lVDWFpqVLKgLE4jU6+kcOHjIbdbvdFbQteyd1dc+97PetbLaPg4deSyS8gTVrPvLo3/AoBgfv4eixvy3JUhUL0zULSn3sYx/je9/7Hr/73e8oKyu7hktcHHK5AR58yLwZuuOOB3E5g+zc9XRyuR7A7My/fftP8HgqUdUke/Y+f9beTg6Hh21bf0Q4vHZO1/9oxsbuxe0un5FFYRgG/f3fR9OzNNS/pCQTRNcLdHZ+jpGR/yOb60XT0gCEQmvYsvlbJTvChqEzOHQPHk9lyU2l+SL4eswyKg+GUcDna2DD+v8mFFpJNttDMnWUjo7/sp/Pioq7SSQOTmVuKdTVPZdQcCVud9ScFqTGyWZ7yGa7UdUkbcveOSNFOpU6SUfnZ6mI3UVt7bNxOFwYhs7JU++nr+9bgBmswjDQjYJd/rhs2d/TvPQNJRdNbncFxeIYiuJm7dpP4vfVc/jIW8jlelEUD6tX/zt1tc+yf3Y2282u3c9CVeOAeYGxds0n7ODNgYOvLekl5vMuoar6ySxt+ssZFxrDI7+hv+97VFQ8lrq659up88nkMU6e+hfi8b1EIpvYvOlrs+566HqBvfteTCJxwP7Y1i3fv+ysnnx+mAcfeiyGUWDF8vdwtv3jaFqGutrnEAi20dHxX+h6ruR73O4Kli79S5oaX2sH3ZKpE+za9XRAx+9fSjbbhc/XQFvbuzhy5C1XtL7pb7SrVn6Qzs7Pkcv34/c3USiMomkZe6T30NDPOXL0bwCzV4fT4SOdPk08ccAumQEFh8ONrhdwu2NUVT2R/v7v4XKVTY2fjthZSorixu2OUiiMllxYXwrz4vu1jI3dSyi0Gk1Nk811EwqtobHh5VOTjBQ2b/o6Pb1fZ3T098Rid7Fp41ftC1yr50w+P0hX1xcYHLrHzor0eKppqH8pS5e+4aLBKVVNs//AKygWJ6moeCyVFY+jvHzHZZfXGYbBxMRDjIz+jrGx++yL6PLy29m86etT2aQTPPDgneh6ji2bzbH2+/a/zD53PJ5qbtnxc7uM0fzd/iWgs3LF+2loeNllrcmSz4+wd9+L0PUcGzd8yd5gsAKUPl8DDQ0v58yZf8fpDHDLjl+Szw+x/8DL0fWC/doVjWxm81SJyvWiqkkGB39GOLyGaHTLdfs519K+fS9lYvIRVq/6D5Ysed58L+eaOdv+CTo7P0tNzTOIRjZy6vQHCARauPWW/5MA1CIyNnY/Bw6+Cpj5/tPe/ik6Oj99yRs6g4P3oDhcU814nXYGdji8nh3bf3qdHsHCYwX6zs8OMzcNX0CxOE4wuNy+7tu86RvEYnfYo9sdDg+rVn6IdPo0Y+P3k06fYs3qj1Jb+4xrtkazb8wHAYOqqiezds0ncDq95HL9jI79CZczRE3NX6AoTjQtz0MPP5ZCYYQ1qz9Cbe1z2L3n2SSTh6mtfTYjI/+HpqXtTC4r0BQItFBT8ww6OszqFOsxBwItbN/2M3L5fnbtehqGobKs9e842/4JQGfL5u9SXr7Dfh49nmoMQ6VYHMfna2Tzpq9eVam5OQ3ymeRyPVP3LGuuzZMqFiRVTbNz55PJ5ftL+g6Gw+toW/b3lJfffkmb45qWZe/eF5JMmVPrrCziq3HmzEfo6v6C9GG7AVyToNQnPvEJvv3tb/O73/2O8vL5nZK2kFm7oiuWv5dE4hCDQz/F52tAUZxks12URbezadPXOHzkTYyN3Ws31M7l+hgfv5944gD19S+lpvop8/1QrjnDMCgWJ8jnBwkEWi7rpsxqJApQVnYL69d9Zka2ga7n6ej4NF3d/2P36wgFV7Jq1YeIRjdd08fR3v5xe2z0OebI5ek3vaNjf+LQob+caoDsY8P6z9vNSIvFOMePv8su37BumDUty569zyeVOk4g0Eo224NhFKmsfAJLm17PocNvolgcw+utJRrZzNj4vfabg9MZYtmyd9BQ/1JUNcWpU+9ncOhn9npcrigN9S+hqCbp6/sOoNufi0a3sGnjV2ekdVsXNC5XhLKy7YyO/p5QcCXbt//MDlT09/+Iru4voChO3O5y3O5yyqJbS3b+rTeNaHQLW7f8gLHxe+3nxlJWdgvNS9/A2Pj9DA7+zC6bbGl+K62tf4NhGOw/8HImJh6muvqprFzxPvbsfcFUlo/p0XpQXMjJk/9Cb9837f8OBFrYsvnbTMb32sGu5qVvorvny+h6vmSiFZwLqHT3fIWxsT8BZh+4tWs+jttdwa7dTyOdPk1T0+tpW/Yu9ux5DonkIRoaXkEsdufURCwH27b96JJ3wnv7vsPJk++Z6on1MxwOz9TF+pj9Nc1L38iyZX9HJtPJIzufgmEUaG19Ox0d/4lhaDNKSnL5Qfr7vkdf//coFEYAqKz8M9at/bRd2ni+zs7Pcbb94yUfczg8OJ1hHA43DocHr7eOqqo/p6ryifaUo+mKxQQnTv6znS0JZqlsefltrF794ZKeJVYGWDS6hUymg2JxgoqKx5LN9pHJnKGy8s/YsP4LpFLH2LvvRfbfh9sd47Zbf3/Z/XF0vcj+/S9nMr4bMPuAbNz4JXzeJTz8yBPQ9Rzr1v4X1dVPYd/+lzE5uZNIZDPZbCfF4gSVlU9gWevb2bvvRahqgsrKJ7Bu7adIJo8yObmbXL6flua3zOi9d7lUNUl3z9fo6fkKqprA4fCydesPZs3EvBTZbC8nT/0LS+qeR3X1k69qbRdjGAb33b8VVY2zY/s9C25D5mpMTDzCvv0vxeOpxOHwk8v1sHLlB+wsW7E46Hqehx56HJqe547b7y15Hz23i7+NbVu/f5GjnDtfwLx+aV32Dk6dej+5XB+rV/8HS+oWT8D20UxO7mHvvhfidIa4685dOJ1e8vkh9ux9IblcD+HwWrZs/g6nz/w7/f3fw+upYfXqf+fgoTdgGMUZmxDXqx3C0NAvOHrs7zCMAuHwOjAM+4YbIBrZzOrVH2FycicnTv7zVG+aP+JwuEuCmQDh0Fq2b/8piuKYKuf7s5L38+Vt76au7rns3PUX5POD1NU9n2y2m8nJnVRWPoGNG75gvz+GQ2tpa3uXXaK/aeNX8fubOHDg1WRz3bjd5axa+W9UVT3xip4X65oOIBLZxLatP5RA+zwbGv4V2UwHNTXPuOatAk6d+gA9vV/D52tgx/Z76B/4IR0dn7YH0ETCG2hufiOVlU+44HlgGAZHj/1tSe9hayP/ahw4+BrGxu6dkaUqFp7LCkq94Q1v4Be/+AWDg4NUVFQQDof505/+RGNjI62trYTDZiaF1+tl586d123RNyqrSaHVkFdRnGzZ8l3crii79zwXTUvh9zWRzXXjcPjYuuW7C6p/y0JlGAY9vV9D1ws0Nb7molkbicRhOjs/SzS6hcbGV1+38qNMpoNCYQxFcaIoTjze6lmbfQ4N/5L+vu/R0vo3Mya8mb2JPkhv79cBWNb6TtKZ0wwO/tSe7JJKneDwkTeVjBYNhdawaeOX8Hpr0LQc4+P309n5ORLJQ4B5YZMvjFAoDAMO6uqew+Tk7pLgDUB19V9QV/tsjh57O6qamAqafsXu6zA49L8cPfo2ADZu+CKRyCYefuTPUdVJ2tr+kabG10yVLZ4foDPV1jyL1av/A13P2n0UpgdBrCmTbneM5W3/SG3ts+2LI10v0tPzFc5M9eha1vpOgsFlHDr8V1M9E/4Pv79xqgz2eRSLY1NBh99e0ZQ5a9cvkzlDINDKls3ftoME50+2qqh4HBs3fOGCqfrp9Fky2U4qK+62v8bKxnI4PCxrfSenz/wbTmeA2277I15PJUePvp3BoZ8RDC5n+fJ/JpftIZvtweOppKHhpTOyjjKZTnbuehq6nmV527tpanotYJ7/ZoZeeqoJ63fsUoXpF5Fg9qfbsP6zsz4GXS8wOHQPJ0++F13PU15+GxvWf2HGRMliMcFDDz8WVU2Y4+KLcUbH/jR17s0uHF5PRcVjiZXfQTS6iUTiEEeP/i25fD+K4qSu9rlUVj6O8vLbZs3eS6fP8sjOJ5Ycb8vmb0+dC8/BMAo0N7+Zgf4fkS8MUV5+G/n8MJnMWTvj7XJYgVmnM0Qw2EYicQCHw0c4vJZ4fC/R6Fa2bvk+iqJM/V7+ws7cCofXs3XLd3A6A0xM7ubAgVfYZYDTg8LTyy0uV7GYoKf363YwCsDh8KPr2akM3Z9ecLT95OQeevu+RWPDq0qC97qusm/fi4gn9uNyhbnt1j9ct7LD0gllhxZMA/trQdfz3HvfFvt8cLvLueP2+69rppyYH/n80NTwjdJBN4nkEXbvfiZud4zH3LX7oseY3t9oOperjDvvePCyy7tvZIah8+BDjyGfH6C25plkc30kEvsxDA2/r4mt236I11OJpmXYtftZJdnjVVVPZv26z8xZT87xiYc5dOiv7Bt0cBCNbiKVOoWmpexJwMXiOCuWv4fGxldNPUaDfftfwuTkLqB0iiKUTuKePkXRDF6+DKvk3uHwTV0T1VMojPHwI3+GqiZxOHzoeo76JS9m1aoPAmYv24MHX0cyeRgw22WsXPG+yxrQlEweY/eeZ01tuHrQ9cKMYPvExC7iif00Nb5qUb2mL1S5/CAPPngX5nWFQix2J/VLXkRl5Z9d1n2QqiY5eepfcDoDNDW+lkCgmXj8AHv2Pg8w2LTxa1RU3AWY51Jn5+fo7/++/R7n9zVRVradSHQT0cgmgsE2uz1IV/cXOXPmwyiKi9qaZzAw+GNCodXcsuPnV/XYH3jwDvL5QbZu/cGinqS9GFxRppS4MtbFtWX6m8j0MjSAdes+TU31U+djmWIBMQyD9o5P0tl5LjigKE42b/oG5eW3AmZD6oOH3oCuZ6mIPYZ16z49I6PJMDT6+r7H2faPoqpJAAKBVtas/ijR6CYMQ2Nk9Hf0dH8VTc/R1vYuYuW3AWZ/hv0HXoGqJgkE2nC7wuQLI+TzAxiGZmfbAPT3/5DjJ/4BpzNALHYXIyO/AcyMnPLy2ygWJ8hkOujo/AyGoVJV9URCoTV0dHyKYHA5t+z4ZckuijlOtfKCDROnN493ucKoapKlS99I29R6AJLJ43R0fprGhlfYz9mVyOX6GRr6OXV1z8HjqSx5bg8cfC3j4/cTDC5n29YfXnaDR8Mw2L//ZfZUSYDm5jezrPXtgNWk/Uklu6KWSGQj69d9xr5oHB9/kOMn3k0u10tZ2S1s2fytkuc0Hj/A0PAvZpRzqmqKhx95AoXCCC5XmFtv+b9Hzc6ZmNjJwUOvR9PSRCKb2LTxyyVBv7Ptn6Sz8zNTv9tfTPVL08lme9D1HLpeQDcKJBOHGR75DZOTu7FeA8EKnuQBHb+vibVrP3lJmY3Wzpjf38S2rT+0f19Wbz9LMLicrVt+QDy+l4OHXoeieLjt1t/Y/eMMQ0fX8xcMEgwM/IRjx81zbcP6LxCL3cHhw29ibPw++2u2b/tJyeaCtQZzAuf/K/kdDA//hsNH/hrQcbsriEY3Mzr6e8Bg+/aflWQ1GYbO2Ni9JBKHSKVPkkqdBEOnvPxWYhV3EQmvZ2DwJ1PBqKT9eFua30Isdge79zyXbLaTsrJb2Lzp6yUXpoZh0NPzVc6c/TCGoeFyRdi29YcEg23AzOy3hoZXsHLF+x7193IlrCl1weAKbr1l5g35jW7//lfagzmm/82Lm4Oqprn3PvP14TF37btgI/tcfpCHHnoMhqGxZfN3GR37A729X0fXCyxd+le0Lbu8qbKLwekz/05395dKPhYKrWb9us8QCDTbH0smj7J7z3MxjCI+Xz07tv98zidGplIn6e37NpHwBiorH4fHU0Eu18/xE+9mfPx+wApK32dv/AHE4/vZu+8lxGK3sXHDl0sCaYah0dH5WbyeKpYseVHJ586e/Zi9Ibis9e9obn6j/TmrhBHMPpPmmPtz14yalqez67N0dX0Bw1BxOoOsWP7eSyqd1nWVPXufSzJ5hOrqp1IW3cqp0x/A5Ypw662/xeupnOpD+8+ATmvL39LS8tdX9qTeYNLpMzgc/lmzwa+3zs7/5mz7R+0eohafr4GlS9/Akrrn4nB40fUik5O7mZzcTTS6xQ4wgdkj88CB19hZ4eCgtubpJFPHSadPUVvzLNau/TjnKxTG6On5Gr1937SvRSzmNMsGAv6ljI0/AOisWPEv1NY8jfsfuBXDULn1lt/Y1x6Xq1ic4L77zXLpxz7mwIJpvi5mJ0GpObZ7z3NJJA7MyFIA82alvf0TtDT/NUuvMl1RLC5WA0ygJPPFkkqdJJk8Qk3NMy/arNncufgsbleUpUv/6pJ3VuPxA+w/8MqSNzNgagrk5+yMH8PQ2bvvRcTjewGzxGrVqn+bUVYwMvp7jhz565IMrzWrP0Jd3XMvaT3TWaOcwWxKf9utv5vz6TGqmmZk5NdUVNx9wayTR5NIHGb3nmcB5s73Hbf/qeQNdHT0jxw/8Q+4XFH8/kZ8viUMDf0CVY3bqfZj4/fZExx9vnq2bP7uZV0AjYz8luMn3s2K5e+55N4a8cRBDhx4NaoaJxhczsYNX57akR3noYfvRtPSFxw9f758YZSx0T8yPvEg4+MP2UG4utrnsGLF+y7595rNdtPb+y0aGl5RkqZuGDoHD76WsfH78Hgq2bb1x/j99RiGwYEDr2R84kGqq5/KurX/yfDIr2lv/ySZTDux8jtpbHwlFRWPRVGcZk+Q0T9y+sy/oet5WprfYo9d1/UCR4+9g+HhX1JX93zWrP5wydoMw2Bycheh0IoZ00AB0ul2FEXB729GURQ7Sy4Wu4vNm75mH+PEyX8qGQxwMVYwqrr6KXaAMp0+Y2foNjS8nGWt75jaOc9z/MQ/Tg1eMG+UisUJO4hWKAxPZZypLKl7Af0DP0BRnNyy41cEg8sAc9rN8RPvJha7g2Wtf3tJa7yQjo7P0N7xSWprnsnatZ+4qmMtRFZgXVE83HH7fdekwbC4sVg7+Vs2f4fy8ltm/RqrP11Z2Q62bjEHeeRy/cTj+6iqetK8Dp2YL7lcP0eO/i0eTwUVsbuIxe66YFlSf/+P6On9KqtX/fuCqkAw+65+j+6er9Hc/MaS/qGWQmEMlyt8WZMUdb3I0WNvR9fzrF/3mZLv1fUCu3Y/g0ymY2qDc/ZzLpU6xYmT/0Q8vg9Q2LTpazMGhRiGhqomcbmiKIpCV/eXOHPm380g1C3/h9tdzp69zyGZPEptzTPxB5rt6zUwy91vv+3eOQ8SzrWJiUfYf+CVuFxR7rj93jnNhjUMg0d2/jmZTAerV/0HZWXb6R/4If3937fbYHg9NUTLtjE+/oDdrxbMaaHm9EgHBw/+JeMTD+B0hiiLbinZfHO7Y9x6y28umjGtqikmJ3cTT+wnET9APHFwxj3FkroXsGrVh1AUhQMHX8fY2B9Lrq8u1/jEw+zf/zJ8vkbuuP1PV3QMMXckKDXH4vH99PV/n9aWv8Hnq5vxeV0v3pQXF+LRjY7+kUJhlLq6581Z2vl02Ww3Y+MP4HHH8Hir8Hqqp3qila4llTrJ7j3PRlHcbFj/OWKxO2Y93vQML7OPwh+uaHy1YRh0dPwXPb1fZ/Wqf7+k4MdCdezYOxkY/PGMSXwXks32cPjIm0kmj5Z8vL7+ZbQte+ecBedSqZPsP/AqCoVhPJ4qNm74IkPDP6e7+0tTfTB+dtnnrGEYpNOnAGYMGrgaxWKcvr7vUlX1RILBVvvjZpP8pwFGSYPc6fy+JhSHh0zmjP0xs1zzf0qy0QxDJ50+TTC4/Kr7aGQyXTyy84kYhsqWzd+mvPxWenu/xclT7wMUamufRTi0mmBoJYahMj7+IOPj99s/v6XlrVRXPXnWdYyM/JZDh/9q1p+rKC6WL/8naqqfxp69zyOb7SIcXoeu50mnT1NV9STWr/sshw6/gdHR31NZ+Wds3PA/JJPHpxrbmxe752eK6bo61fDdT0vLW0v+5g1Dp7f3GxSKE7Q0vwmHw2uXLLW1/QNLm15/Vc/lQpTL9bP/wCupqXkGrS1vme/liHlw5OjbGBr6X5qXvolly94x4/O6XuTBhx5DoTDMurX/SU3N0+ZhlWIxKRYTqGocv7/xol9nGDrHT7ybgYEf4naXs2P7PXZWdiJxiEOH30g+P4jTGSLgX0o6cxZdz7F61b+zZMkL7K/bvec5TM+Cbl76RkZGf0c6ffqqgg6XyzAMksnD9PV9l3TmLEvqnn/JE+Ks3qADgz+mpvppM6Y+Xsj0CdUAa1Z/lLq651z22nW9yPDwrxgc/AkVlY+nseHlM9bX3/89PJ6qkl6g8fg+9ux9Pg6Hn7vufMS+LtS0LP3936er+4v2MCYwA0yRyAa7/2kgsAyfbwnj4/fjdAbYtOlrlEW3kkgeobPzc0xMPMTq1f9BddXlXXsbhkGhMEw6004m04GhF6ivf7Fdzjkw+FOOHXsHfn8zt936OxRFwTAMunu+RLE4SW3NMx712tDKTK+q/HM2bPjvi36tmH8SlBJCXHO5nDmB49H6N8Xj+zhz9qM0Nb6Gqqo/v6qfaRj6Dd9IU9eLpFInCIfXXXIQR9PynD79Afr6v4vfv5TVq/79gjuf11Mu18/Bg68jlT6Jw+EHzNK32UZ2L1THj/8j/QM/AMzBAE1Nr6W66kkMDP6E/v7v2z2ZzJ4gm6mseByNja8sKbe4Hk6cfB99fd8iEtlM27J3sv/AKzAMlbZlf3/BrFpNy+Bw+B/1POru/gpn2z82VSZp8nprWbfuv+z+C5lMJ3v2Pm9qYil4PJXcsuNXeDwx0ul2du56Coahsrzt3XR0fg5VnURR3BhGkfKyW9m8+Vv2OqZnfcbK72D9+s/icoXRtBzHjr/TztAqL7+dDes/x67dzyKb7WTTpq/P2KUXYjEYGPgxx46/k3B4HTu2/2zG54eGfsGRo2/F46nijtvvu6LNGyGulKbl2bvv+SSTR4lENrJ1y3cZG7ufI0ffhq5nZ3y92Tbg2yXvPdZ7GDhYufL9NNS/hOHhX3P4yJtxOkPccfu9V9Tv81LlC6OMDP+a/v4flDSaB3OQz8qVHyAcWjXr9xqGzujo7+js/Lzdm1VRnKxZ/bGSjHJdzzMw+FN83iXEYneiKMrUc/dCksnDdn+taHQr27b+4JLXrqpJenu/TW/fN6cFjxxs2/rDknYG/f0/4viJd6EoTrZt+7Fd7n/8xLvp7/8+dbXPYc2aj844vq7nGRz8X7K5bmLld1JWthVFcTI+/iDHjr2TfGHI/IkODxs3fJlY7PZLXvvVUNUU9z+wA13P2+0LrIm1lnB4PXW1z55K8jDPN79/KaHQCgCOHX8XAwM/mtPAp7hyEpQSQohFIJPpwuerndemoaqa5PDhv7Z75EQjm9m69Yfzktl3JQqFcU6eeh9+XyNLl76+pLxO07KMjPwWxeEiVn7HBXu/XA/5/DAPPfw4dD1nN6etqXk6a9d88po8t4ZhmP299CyansPjrpxRBhyP72Pf/pfNGmi0mr1bIpFNrFr1b+ze/WwMo2A36E2n29m1+y/Q9QKK4sIwVEKhVaxZ/RFOnHwficR+FMWNw+FG0zKEQqtJpU4ABnfdubOkl5sQi0U+P8IDD5r9Dmc7z/fuewmTkzvlxkrMm2y2h127n4mqxolGtxKP7wd0YrG7WLPmYxSLE2Sz3RTyI1RXP2lGabqqpunu/iJlZdvt7HnD0Nm1+xmkUsdLepNqWp58fqCkL9iVKBTGGRz6GSPDv2Eyvodzjd89VFc9hUCgha7uL6JpaRTFSf2Sl9DU9Hq75YFhGIyP38eZsx8llTo+9b0+wqHVxBP7AYXVqz7MkiXPY2LCnJ6YybQDZm+zpU1/yfjEgwwM/AiXq4xNG7/I3n0vwjA0btnxKztwcjHTe3SBuSHk8zWQSBwgGFzOju0/w+Hwks32snPXX9jlcKHQKrZv+wmGoXH/A7eiaSk70/pyFIsTnDj5XiYmHmHN6o/M+Qbj4SNvYXj4lzQ1vQ6/r3EqQ9wMfMbjezEMddbva2l+Ky0tb2H3nmeTTB5h/brPXtcpweLakKCUEEKIa0bXi5w+82+MjPyO9es/SzSycb6XtChMn/IYDq1l69bvz/mUtnS6nWJxnLKybSUfLxTGefiRx6OqSaLRrWza+GVcrjCnT3+I7p4vEwqtZvu2n7Jv/0uJx/cQi93FstZ3cPDQ6ygURu3juFxRNqz/PE5ngAMHX2v3FPN4qrjrzkcQYrHauevppFLHWLPm4yV9hVKpk+zc9VQUxcntt9836xRfIebC6NifOHjwdVjBnSVLXsjKFe+/qpYjVgm50xlgx/Z7GBr+JT09X6dYHLviQIJh6PT3/4AzZz9S0h8pEt5ATc3Tqat7th00y+UGOH3mQ3aGrqI4qal+GtXVT6an9xtMTDwMmJnTDQ0vo6nx1bjdMU6efC99/WZvt1jsrmnN6mPoeg5Ny0xbkYPNm75GLHYHhw6/kZGR/6Oh4ZWsXPHeR30sPb3f4NSp9+NyRVix/J+pqXkampblkZ1PolAYpXnpm2ht/Vv27X8Zk5M7iUQ2ks32UCyO09ryNvz+Jo4eezs+XyO33/aHK64mMAxjXjYXzeEvb5pq0J4GDHtIWKEwxuDQPYyO/h5dy2EAhl6wM+EqK5/A+Pj96Hqe2279/VUHOcX1J0EpIYQQYoErFuPs3PkUALZt+9FljeieC5PxvUyMP0xj46txuYKAucv64EN3o2kp+8Ld6Qxyy45f4ffXk832cuDgq8lk2vH7l7Jp45cJBFoAM/PvwMFXkc12U1FxN5s2fnk+H54Q15UVdD6/of+Jk++hr+87VFU9mQ3rP3uRIwhx/XV1/Q8dnZ+leekbWbr0DVcdqDAMg917nmVnAk0326CQR5NKneTEyffYw3aCwRUsWfICqquedNH3zPGJh+nq/DzjEw+WfFxRPDQ2vJzm5jeWZH8ZhsGp0x+gt/fr9sfql7yYZcv+HtDp7fs2PT1fo1gcL+mHODZ2LwcOvgaXK8KddzyM0+mjWExw5MhbKBYn2LDhv+11FgqjPPzIE1DVJCtX/CsNDS+1f5YVrFEUJ3V1z6O///tTgb2fk0ge4ujRt6EobgKBZrNv17Rp7zcSTctz/wM77AywJUtexKqVH7zoedc/8CNOnnyPPUjJ4fBz92MP3fDtPW4GEpQSQgghbgCqmgIUO+hzI+js/Dxn2z9m//eKFf9S0qC1WEwwOvYHKivuntFTpFAYpafn69TUPO2aNrsXYqGZmNjJvv0vwe2OcdedO1EUB/n8EA89fDe6XrjoZD4h5tK17t9pZmCZE6VDoVVEI5vp6/8u4dBaduy459KPM/pHDh1+I4ZRxOkM0NrytzQ0vOKiE6nPl0geobvri4xPPExF7C5aW//2ghMdDcOgq+vzTEw8QkvLW2dkEGtabqoMsWXa92g89PDjyOX6WLP6Y1RVPYH9B15JInEQMPshbd3yPbzearsfkjks5if2lGuLVdpmWbnyAzTUvwTDMDh0+K8YHf2d/bnbb7v3go9jobN6fVZWPoH16z57Sb/PeOIghw+9kXxhiGhkM9u2/WgOViqulgSlhBBCCHFdaFqWhx5+PIXCMGXR7WzZ8h3ZsRTiPLpe4L77t6NpKbZv+ymRyHpOnf4gPT1fJRrdxtYt37thevMJcblGRn+P0+GjvPx2crk+Hnr4sSiKm7sfe+iSGvunUifZs/f5aFqaioq7WbXyAwsum9jS0fEZ2js+SSSyEQUH8cR+3O5ynM4AuVwfweBy2pa9i4OHXgcw1dB8y4zj5Auj7Nz5ZIrFCSpij2Hjxq/YrxH5/BCP7HwSqpqkvOxWtmz59pw+xmtJVZNMTDxCRcVjLqtnaj4/Qlf3F6iuevKMgKFYmCQoJYQQQojrZnz8QXr7vsPytn+8YXdrhbjeDh36K0ZGf0tr69tZUvcCHnr4seh6XiZPipuKYRjcd/9WVDXOju33EA6vvejXFwrj7N7zHHK5HsrKbmHzpq9fVZ+r6y2XH+Shhx6DYWiA2Utxy+Zv4XQG2bfvxfa0O4C62ueyZs1HLnisiYmdDA7+lGXL3jFjQMLwyG84c+bDrFr1IWLlt12fByPENXTpOY1CCCGEEJcpFrvDnrgkhJhdrOIxjIz+lrGx+1DVBLqeJxLZTKxc/nbEzUNRFMKh1UxMPkIyeeyiQSldL3D4yF+Ty/Xg9zWxYf1nF3RACsDnraWi4nGMjv4OlyvC5s3fIBxeA8Dmzd9g774XUyyO43KFaWv7+4seq7z8lguW9VZXPYnqqidd8/ULcb1IUEoIIYQQQoh5VBG7C4BEYj/JpDlBqqXlr6VsT9x0wuG1ZlAqdRR4/qxfk8v1c+r0B5mc3InTGWLDhi+UNCNfyNqWvQuXK0xT46tLgm7BYBubN32D9vZPUF//khnZT0IsZhKUEkIIIYQQYh75/Y0EAq1kMu0YRpZIeAMVscfO97KEmHNWoMYKzk6Xyw3Q2fV5+vt/gGEUAQfr1n6KUGjFHK/yygWDraxd87FZPxcOr2bjxi/O8YqEmH8SlBJCCCGEEGKeVcQeQybTDkBLy1skS0rclEJT5Wyp1AkMQ7Mnz01M7OLAwVei6wUAyspuYVnr26WRtRCLgIzAEUIIIYQQYp5VTfWAiUQ2UlHxuHlejRDzIxhoxeHwoWkZMpku++Nd3f+DrheIRDayZfO32brlOxKQEmKRkEwpIYQQQggh5ll5+Q62bfsxAf9SyZISNy1FcRIKrZ7qr3aEYLCVYnGC8fH7AViz+qMEg8vmeZVCiGtJMqWEEEIIIYRYAKKRjbjdZfO9DCHmlTWRLpk6BsDQ8K8wDJVQaI0EpIRYhCQoJYQQQgghhBBiQbCanaeSU0GpoZ8DUFvz9HlbkxDi+pGglBBCCCGEEEKIBSEcMjOlEsmj5HIDTE7uAqCm5mnzuSwhxHUiQSkhhBBCCCGEEAtCKLQCRXGhqpN0d38JMIhGt+HzLZnvpQkhrgMJSgkhhBBCCCGEWBAcDi/B4HIAevu+DUjpnhCLmQSlhBBCCCGEEEIsGFYJn2EUURQn1dVPmecVCSGuFwlKCSGEEEIIIYRYMKwJfADl5bfj8VTM42qEENeTBKWEEEIIIYQQQiwY4fA6+//X1jxjHlcihLjeXPO9ACGEEEIIIYQQwhIKrcbligJQVfXn87waIcT1pBiGYcz3IoQQQgghhBBCCEsm0wkoBAJL53spQojraEEGpQzDIJlMzvcyhBBCCCGEEEIIIcQVCofDKIpywc8vyPK9ZDJJNBqd72UIIYQQQgghhBBCiCsUj8eJRCIX/LxkSs2BRCJBY2MjPT09F/1lCLGQyXksFgs5l8ViIOexWAzkPBaLhZzLYjG4XufxDZkppSjKovxjjkQii/JxiZuLnMdisZBzWSwGch6LxUDOY7FYyLksFoO5Po8dc/aThBBCCCGEEEIIIYSYIkEpIYQQ4v+zd9dxkqXV4f8/t9yrXaZlelx2bH1WWNjFF9dAQiABgkMCISGEBGIkIRDgF5IQ7EvwIAsr7LLuLjM7rj3T0y7lLld+f9xbd6qme9xnz/v1yovstN2quvI85znnPEIIIYQQQogzToJSZ4DX6+ULX/gCXq/3bB+KECdMzmNxoZBzWVwI5DwWFwI5j8WFQs5lcSE4W+fxOdnoXAghhBBCCCGEEEJc2CRTSgghhBBCCCGEEEKccRKUEkIIIYQQQgghhBBnnASlhBBCCCGEEEIIIcQZJ0EpIYQQQgghhBBCCHHGSVBKCCGEEEIIIYQQQpxxEpQSQgghhBBCCCGEEGecBKWEEEIIIYQQQgghxBknQSkhhBBCCCGEEEIIccZJUEoIIYQQQgghhBBCnHESlBJCCCGEEEIIIYQQZ5wEpYQQQgghhBBCCCHEGSdBKSGEEEIIIYQQQghxxklQSgghhBBCCCGEEEKccRKUEkIIIYQQQgghxAUnr2kMFctn+zDEEUhQSgghhBBCCCGEEBecT+wY5uond/BUKne2D0UchgSlhBBCCCGEEEIIcUHJaxr3xDLowM8mEmf7cMRhSFBKCCGEEEIIIYQQF5THkzkqhgHAHbEUZV0/y0ck5iJBKSGEEEIIIYQQQlxQHkxk7f8/o+o8EM8e4bvF2SJBKSGEEEIIIYQQQlxQHkqaQahFfi8AN08nz+bhiMOQoJQQQgghhBBCCCEuGCOlCnsLZZwK/PPSXgDuimXIa9pZPjJxKAlKCSGEEEIIIYQQ4oLxYCIDwCXhINc1h5jv81DUde6JZc7ykYlDSVBKCCGEEEIIIYQQF4xaP6mXtIRRFIU3djYDcMt06iwelZiLBKWEEEIIIYQQQghxQVB1g0esflLXt4QBeGNHEwD3xTNkVCnhO5dIUEoIIYQQQgghhBAXhI3ZAhlVp9nlZG0kAMDyoI+lAR8Vw+COmdTZPUDRQIJSQgghhBBCCCHEBc4wDB5LZi/4Zt8PWP2kXtQSxqkoACiKwps6mwD42UQCzTDO1uGJQ0hQSgghhBBCCCGEuMD9cDzOW54f5DO7Rs/2oZxW9f2k6r25sxm3ovBUOs+ndo6gS2DqnCBBKSGEEEIIIYQQ55RvjUzzrZHps30YFwzDMPju6AwAN08nmS5Xz/IRHdmt0ynWP7mdJ1K54/q5ZFXl+UwBgJc0Nwal5vu9fHPlfJwK/HwywWd3j2JIYOqsk6CUEEIIYRkqlilq+tk+DCGEEOIFbaZS5Qt7x/nC3nEesbJexMl5LJVjT6EMgGrATyfiZ/mIDs8wDP59aJKhYoVP7xyhoh/72OymqSQ6sDTgY57PM+vrr+1o4j+W96MAPxiP83eD45IxdZYdV1DqE5/4BAMDAyiKwvPPP2//+yte8QrWrFnDunXreNGLXsTGjRtP9XEKIYQQp9XGTIGrntzBH2zeJ6tmZ1Cqqp7tQxBCCHGO2W8FTwD+UYIGp8QPxswgVK/PDcCPxuPnbF+l7fkSu/IlAAaLZf53LHZMPzdTqfLl/ZMA/HFv22G/7y1dLfz7sj4AvjUywyWPb+evdo/yUCJLVT8335ML2XEFpd761rfy6KOPMn/+/IZ//8UvfsHmzZt5/vnn+dSnPsUf/dEfncpjFEIIIU67O2ZSGMDjqRw3T6fO9uFcMIqaznPp/JyBvv83OsPyR7fypX0TZ+HIhBBCnKv2Fyv2/785V+QWeS6flKlyld/FUgB8e+UALW4nY+Uq98YzZ/fADuNXkwkAWt0uAP59aIp45eiLWP80OEFa1Vgd8vPuea1H/N7fn9fKV5b1EXI6mKxU+d+xGL+3aZAlj2zmtc/t5m/2jHLTZIK0LJ6ddscVlLruuuvo7e2d9e9NTU32/59Op1GsDvdCCCHE+eLh5MHygH8aHKcgZXynxMd2HOA1G/bwbauPRU2qqvIlazXzawem+IU1AL0QZVSN4WKZvYUS23JFZirndh8PIYQ424aKZqZU0GlOV/9l3wTl4yjhEo1+NhFHNeCySIBLokF+r6sF4JgzkM4kzTD4zVQKgC8t7eWikI+0qvGVockj/tzTqRw/t8YS/7q0195170jeNa+Vbdeu4sdrFvIH3S20ul2UdINnMwW+OxrjozuGWff4Nj65c5iNmYJk0p8mrlP1i9797nfzwAMPAHDHHXecql8rhBBCnHbJqsrmbBGADo+LsXKVbw5P8+cLus7ykZ3fnknnuX0mDcCX9k/yuvYmu7/Dfw5Pk1Y1/A6Fom7w6Z0jLPR7uSwaBODZdJ5fTCZocbu4OBLgkkiAdo/7rL2WE6EbBl/eP8l/DE+h1Y1jvQ6FJ9evoNs7u9eFEEKIg0GpD/W18+PxOMOlCj8ci/Mnfe1n+cjOP5ph8KNxs3TvPT1mSdu757XxzZEZHkxkOVAsM9/vPZuH2OCJVI7JSpWoy8nL2yI0uZ289flBfjge4z09rSwP+mf9jKob/NVuc0fBP+hu4VJrLHEsvA4HL2uN8LLWCF82DPYVyzyfKfB8tsDDiRy7CyV+NpHgZxMJur1ugk4HbkXB73TwitYIH+jrIOA8mOvzWDLL1w9MsTzo468WdhN0Ohv+3u58Cc0wWB70STKP5ZQFpX74wx8C8IMf/IDPfOYzEpgSQghx3ngsmcPAbIr55ws6+eC2A/zn8DTv7G6Zs0nm2VDRdQzMwdPx/txkuUr/GR5wGobBFwfHAXAqUNB0Pr93jO+uWsBEuWLvAPTNlQP8YjLBHbE0f7RlP19d3sf/jsW4f47GtvN9Hl7T3sTrO5pYG/af04O5rKrxsR0HuCtmlkb4HQoeh4OCplPWDZ5O53lDx7lxbolzT07V+K/habbmivzr0l56zpH7kBBnypBVvrcy5OcvFnTz6V0jfO3AJL/X3ULE5TzKT5+7dMNgc7bImrAfxxl6ht0XzzBWrtLidvK69iYAFgS8vKQ5zIPJLD8cj/O3i+adkWM5Fr+aTALw+o4mvA4H1zaHubEtyh2xNO/bMsTFkQBhl5OQ04HboeBEYX+xzPZ8iWaXk79eeOKvxaEoLA74WBzw8dauFgzD4Jl0nh+Ox7ltJsXEITsWbsgU+OF4nM8u7OaySJB/2jduL8Y9ksxxXzzLf62cz8WRAPsL5YavLwv6eHtXC2/tbKbTe34tup1qinECOWgDAwPcfPPNrFu3bs6v+/1+RkdHaW09ch2nEEIIcS74y10j/HA8zvt72/jHxT28ceNenkrneXNnM/++rA8DMDAIOBxnJRCSVTVe+swuHAr87tKlNLuPbU0pVlF588a97C2U+NZFA7yuo+n0Hmide+MZ3rV5Hz6HwvdWLeDdW/ahGfDTNQv5XSzNj8bjXBENcsvFiynoOm/YsJetuaL9804F3tzZjBOFjdkCu/Ml6gcs/T4Pn180j9eewdd0rPYVyrxnyz72FMp4HQpfXtbH261SiU/tHOanEwk+Ob+TzyzsPstHKs41mmHw84kE/7p/gmmrf8r1LWF+umbhOR2EFeJUW/HIFpKqxv2XL2NpwMf1z+xkT6HMZZEA/7Skl3WRwNk+xBPytaFJvrR/kk/0d/DXZyAQZBgG79y0jweTWT7c184XFvfYX/vdTIo/3jpEi9vJM1etnJXRczYUNZ3Vj20lp+ncfPFi1jeFADNz7sVP76R8lCbkX17Wyx/OO3yD85ORrKrsK5SpGAZV3WCkVOGrQ5OMHRKocgBv62rh4WSWiXIVpwKvbI1yTzxD1TBwAG6H0vBaWt0uur1uOj1uur1uPjnQ+YJajDjpTKlUKkWhUGDePPOiuvnmm2ltbaWlpeWkD04IIYQ4Ex6x+kld1xxGURT+YUkPr3p2N7+eSvLrqaT9fT1eN2/pbOYtXS0sC/rO2PF9c2Sa4ZK5avxXu0f51kUDR/2ZdFXlHZsG2V0wd6/5zO4RrowG6ahbjStpOltz5oqt55AMLN0wiFdV2tyuo06GfzmZ4Jl0ng/2tbMo4EM3DP7ZypJ6b087L22N8P7edr41MsOnd40wZfVU+tzCbhRFIeh08oPVC3jNc3uYrlR5a1cznxroYqAuuyurajyUyHLrTIp7YhmGSxU+sXOYK5uC51RZX0nTefPGvUxWqnR53Py/1QNcEjlYRrDCKjvYae0qJETNTKXK72/axxYrODvg9zBeqvJAIsst0yne2Nlsf2/RunYviwQkWCUuOKmqSlLVAJjv9+ByKPzL0l7+cPN+ns0UeNVzu3lbVzN/vbD7vCqDruoG37d6OH17dIb39rbTdRozZHTD4G/3jPFgMosDs2Sv3stbo/R43YyVq7x7835+uGbBWQ9M3RPPkNN0erxurqgrwRvwe7n9kiVszBbIqjpZVSOnaaiGGczXDIN+n5c/6D59STHNbheXRhvDJ2/pbOY7ozP8x4EpsprOdc0h/n5xDytCfpJVlc/sHuXW6RR3xMzsqOtbwnx+0Tzmed3cOpPiFxNJnsnkiVdV4lWVrZj3/0/M7zhtr+NcdFyZUh/84Ae5/fbbmZycpLW1lXA4zH333cfb3vY2isUiDoeD9vZ2vvKVrxw2i0oIIYQ4nbZmC/zH8DSfHuhi6TEEjoaLZa54cgdOBXZeu5qwVRbwt3tG+c7o4RuArgn5+b1uM+06eoyZSydiplLlyid3NDRe/+bK+bypboJ6qLyq8fZNgzyXKdDmdtHqcbErX+LlrRF+uHoBiqIQq6j8weZBNmWLtLpdvLWrmXd2mwtKN02awbixcpXLIgG+uLSXteHZq9JlXedzu8f48YTZq8KtKLyvt435fi+f3T1KxOXgqfUraXa7yKka1z61k0krIPXy1gg/WrOw4felqyol3ThqGnte03jTxr1szhZnrfyebb+eSvKR7Qfo9rq589Kls17LI4ksb9s0yAK/hyfWrzxLRynONYZh8Idb9nNvPEPU5eRTA538cU8b3zgwzZeHJmn3uHj0iuVE3a6G4NWnB7r49DnW+y6javxkPM6LW8KsDM3u/SLE0TxvBZ46PC42X7PK/vfxUoV/3jfBr6zForDTwY/XLORKK5vmXHf7TIr3bR2y//s981r50rK+0/K3VN3gz3eN2I2/v7S01+4nVe+ZdJ53bBokr+msjwb5yZqFBM9ieeR7tuzjrljmjGWSnSqJqspIqcKaUGNrAcMw+M10ittnUryru5XrWyOzfjZZVRkvV5koV5my/vfj8zuOu13D+eyEyveEEEKIc5FuGLzy2d1syRVZHvRx92VLZ2UAHeqn43E+tWuEyyNBbrt0ScPX8qqGASiABjyUyPKrqQT3xTOo1tPT51B4bXsTb+5sZm04QKvn1AaoPrd7lO+NxVgb9vOy1gj/PjRF1OXkgcuXzep3laiqbMgU+M8DUzyZztPkcvKbixcD8Mpnd1MxDL62vI9rmkK8Y9M+9lmNZI9GAf6gu5U/X9BJp8eNQ1GYKFd439YhNmQKKMC6cICN2ULDz/31wm4+Mb/T/u9bppN8cNsBFOD+y5ex4iQmrLXyQL9D4an1KxsywM6mt2zcy2Op3GGDBTOVKqsf24YCDF63pqE5qnjh+vF4nE/vGsGjKNx12VL72ijrOi97Zhd7CmXePa+Vj/R38I5Ng3a/nZDTwbNXraTpNAbGj8fWbIE/2TbE/mKFsNPBry9ezOo5AtpCHMnNU0k+tP0AV0aD3HLJkllf35gp8NndozyfLRBwOvjJmoVcdR4Ept65aZAHElmubgrxeCqHS4HHrlzR0GQ8q2qEnCfXKqCi63xk+wF+O5PGqcDXl/fztq7DVzE9m87zzk2DZDWdK6JBfrpmIaGzEJi6K5bm/VuHqBoGD12x/IxmpIuzS4JSQgghLhi/nU7x/m1D9n//+UAnf7HgyH17PrRtiJunU3xqoJO/PMr31sQrKr+ZTvLj8fisMqwer5u14QA3tEZ4dVu0IUg1U6myMVNgXTgwK4hiGAa/nUnT6XFxhTW4PlAsc+1TO6kaBr9cu4j1TSFev2EPG7MFrmsO8dcL57Ehk2dDpsBzmTz7rYkqmJPVX65bzMVW341vHJjii/smCDkdBJ0OpioqPV43P1m7kOFihZ9OxLknnsGBwg2tYTvI9uX9k9xUV8LoACIuJxXDoKDpNLmc/PfK+dzQGuHeeIa/2zvG3kKZTo+LJ9avbAi6GIbB98ZiNLucvOUIA+RjYRgGr9mwhw2ZAh/sbefvl5z9bKn9hTJXPbUDBXjmqpX0HqYfxEWPbiVeVbnz0qXnbV8UceoMFcvc8MwuCprOFxbN48P9jWUbT6RyvGnjXgBa3E4SVY1+nwePQ2FvoXzWsqVmKlU8imI3nf7pRIK/3jNKWTd7puhAm9vFrZcsYWHg3NnZS5z7vj40yb/un+TtXc38x4r5c35PQdP54y37eSiZxe9w8KM1C7iqKcRTqTx3xFJMV1S+sGjeMfflmShX+O10mmcyed7X03bKs68OFMusf3IHBvDk+hX81a5RHkxm7deo6gb/un+C/xqe5rJIkH9b1tuwcPNwIsv/jExT0Q26fW7meT3M93t4Q3tTQ2bTSKnCB7eZC0YeReF/LprPjVZz8yPZkMnzzk37SKsaiwNevrS0l2uaw6f0PQDz2f10Oo9TUVgR8hF0OolVVD63Z5RbplMAXNcc4hfrFp/yvy3OXRKUEkIIcUHQDIPrn97F7kKJK6JBnk7ncSlw92XLGkpIqrqB22GuQOqGwerHthGvqg0NNY+VYRhsyBT46UScx1O5hqAQmM26r2kKMeD38mQqb/d3ave4+N9VC+wtiyu6zqd2jtglCa9qi/D5RT18dWiSX00leXFzmJ+vWwTAYKHEy57ZRfEwzT4XB7xcHAnwgd72hgwFzTB444a9PJPJA7A86ONnaxc29ONIV1UcimKXMNY8lcrx+b1jbMoWG/59ZdDH91cvaFjlreg6d8cyrAz5T/tE9IF4hndazdSfXL/ytPbmOBZfHBznG8PT3NAS5qdrFx32+966cS+PpnJ8fXkf7ziN/S/EuU8zDN60cS9Pp/Nc1RTkpnWL59yR65M7h/nZhFmGsyrk56drFvJEOscHtx0g6nLy7FUrZ123p8uGTJ5/2zfJg1YvPreiEHU5iVXNxuwva43wxSU9vG/rEFtzRXp9bm67ZAlpVeO26RT3x7MsCHj5ywWNfePmUn+/Fi8cf7pjmJ9PJvjMgi4+OXD4gGtR03nv1v08kMjidygEnE7i1nkI0OVx8+M1C1hV9yx8Lp3njlgazTBwoKAoZqbQU+m8/T0eReFry/tOePFENwyqhtFQfvWv+yb4+oEp+3m+MVPg1c/txgH8fO0ivjI02XAMLgU+2t/Jy1ojfGX/JA8lZ+9IC2ag+mP9nfxRTxsPJ7L86c5h0qpG1OXk2xcN8OKWYw8sbcoWeNfmfcxYmyy8rauZLyzqoe2QDPC8pvHl/ZP8dibFZxZ0HzELq95Mpcqf7RjhvoS5K60DWBTwEq+qJKoaDuAj/R38+UAXfskifkGRoJQQQojzgmEYR0xnv2kywUd3DNPkcvLU+hV8cucId8TSrAn5uePSpewrlvn6gSlumU7y0pYI/7y0l4yqccMzuwg4Hey8dtVRS/2OJqNqbMkWeCad5/aZtN2wuF6Ty0lK1fA6FL62vJ8bWsK8d+sQj6dyOK2XpxnmRE81DAzgrsuWNvR0+sl4nD/fNUKTy8nFkQCXRoJcGglwcSRwxDKe/YUyv7dpkEUBL99cOf+4S35Kmk5G1UipGiVdZ0XQf1YnjIZh8Hor0Pa+nja+uLT3rB1LVTe49IltTFdUvrdqgNccYWX6b/aM8t3RGB/qa+fvzqF+WOL0Odz9qz6D8f7Ll9F/mCBNsqryni376fC4+NryfsIuJ5ph8JKnzR3JPrugmz8dMEtl74ml+a/haT7Q135MGRLHanuuyL/um+DueGbOrzuAzy7s5qP9HTgUhZlKlddv2MP+YgW/Q5kVSHcrCu/taePPBjrn3FH0OyMz/OPgOK/vaOKLS3pOa+8+cW5544Y9PJnOH7V/IpjPpfdvG+Je67xscjl5ZVuUTdkCO/Mlgk4H371ogF6fh3/ZN2E3nJ7LFdEgAYfDDrh+ZkEXf2aVoE9WqgwWyiwP+mcFaZJVlZumkjyfMXeK3VMooRnw8fkdfGqgC93Afj58p24n3D/esp/f1R1PyOng7xb3cG88zZ2xxuvMrSi8p6eVdeEAE+Uq4+UqDyYy9mJYbWwBcHE4wLcumn/Y+8mRpKsq/7xvgh+OxzGAiMvBmzqaeUtnM5dHgzySzPHpXSP25iswu1/VRLnCrdMp2j1u1oUDLPB7eCiZ5eM7hpmpqHgdZiC7tsMomItcX13eL9nDL1ASlBJCCHHSjhYwOhkzlSrfGpnhh+MxrmoK8V8r5s/qdVDVDa57egf7ixW7j9F0ucp1T+8kpWqsDvnZmitS/8ALOh1cGgnwcDLHS1si/GRtY9PtU2F/ocxvZ1LEqypXRIOsbwrhVRQ+suMAd1kDzg6Pi+mKSsjp4DsXDTDP5+Hv9o7xQMIcFL++o4lvz7HbXkbVCJ9A34nT+VmdDbXG4R5F4b7Ll7HkDPSgKGg6n9hxgCaXiy8snkfY5bS31m5zu9h49UVHDNbV+ge9pDnM/607fEaVOP8ZhsHvbRokXlW55eIlDfeumUqVK57YQVHX+eryPn7/BLLmfjWZ4GM7hmlxO3lq/Uq+OTLNV4emADPb49cXL+ayuh2sDhTLfHHfBDe0hOfM0ktUVfwOx6wshV9OJvjUzhF7O/O3d7XwyYFOurxu4hWVmLVT56F97oaLZd6wcS8TZbPU7yUtYV7RFuX2mZR9j2tyOfnKsj5ea03U619XTY/Xzf+3op9rT0M5kTj3rH1sK1MVld9dutQuQT+Ssq5z02SSHp+Hq5tCuB0K6arK+7YO8ai14GMYZkmpA3hjZzNdHjc6BroBfT4Pr2mPMs/nQTcM/mlwgv8emQbgopCPiXKVRNUM+LgVhVe0RXhndyv9Pg/fG53hF5NJiro+57G9uDnMazui/MWuUdrcLjZcvdJeANuRK3LDM7swMDMgv3PRAAusDOM7ZlJ8bs8YE+Uqb+ls5i8XdDVkJYPZzPyXUwm+OjTFiBUk+mBfO59b2H3Si2wb0nn+cvcoW+sW1zo9LqasQFKP183l0SA3WyV3f7doHu+a18p/DU/zPyPTDUHoiMtBRjXfn2VBH/+zcj4rQn6mylW25IqUdZ2Xt0ZO+pjF+UuCUkIIIY7JaKnCZLlKSdep6AaTlSqbs0U2ZQrsyBfp9Xl4XXsTr+9oYnnQx75imcdTOZ5I5YlVqhiYg0K/08GH+tpn9Sp4KJHlK/sn8ToUlgR9LA36GCqU+eF4rGFwsyrk58drFjaUatWalbe6XTy9foXdX+GXkwk+XjexeU17lLd3tfBfw9M8XZcm//eL5/HBvjO3/a5uGPzzvgn+c9gc9M7zuvnxmoUNZYb3xzM8kszykf4O2j3nRhPvc5FhGLz5+b08kcoTcjr40tLek+5XdTT/cWCKf943AcBCv5fvrRrgi/smuDee4aP9HfztUXYMei6d5zUb9tDlcfP8NRed1mMVZ1etzxgwq2/d3+8d45sjM6wLB/jdpUtOKFis6gbXPr2DoWLF3todYMDvYahYoc3t4s7LltLr87A1W+CddaU5h/av+r+JOJ/ZPUrQ6eDP5nfynp423IrCl/dP8rUDZqDr5a0RvrB4HosDxx78nShX2JgpcE1TqCHb6YF4hr8fHLf78n2kr4O/XtjNo6ks79q8D9Uwt1t/LpNnqFhBAT7Wb37PhRRYF43ymsaih7cAsOPaVXNm0R2rQ0vjX90W5bMLu49pZ94fjMX47O5RaqEmp2KWA9ausUOtDPp4rTX+WRb0sSFT4C93jTYEqz7e38HnDnk+/HoqyVipwp/0tuM7JBhc1HSSVXVWsHeu1/nbmTQdHtcpDdxqhsEjySw3TSW5YyZNXtNRgPf2tPHZhd0EnQ7+ed8E37DGMlGXk7SVrbUuHMCpwNZckbI1hnvPvFb+bnGPlOaJWSQoJYQQ4qh+NB7jM7sODs6OJux0kNUO/931ZR4K8M2RGf5pcPywv39t2M87ulv59/2TxKpmg+7vr15AXtN5NJnlB2NxYlV1VnDJMAy+tH+SyXKVD/S120Ef3TD48Xicfxwcp6DrPHzFchYdxyTrVLllOsmjyRyfGuhs6O0kjs9kucqHtg3xpBVofHtXM/+ypPe0bGudqKpc+cR2sppun+d+h4OyrqMDj1+54qi9tHKqxuJHTs2kS5zb6gPjfoeDJ9avoMvrZrpc5cont1PUDX68ZiEvm2Ob8GP1s4k4n9w5Yv0NhS8v6+PVbVFev3EP23IlLgr5+MyCbj6y/QA5Tafd47IDU59b2M2H+zr4+8ExvjMaa/i9PV43S4M+O6PpE/0d/NXC7jl7Xp0oVTf44r5xvjkyA8DlkSDb8kUKms6bOpr4r5XzKWo6fzc4zo/G4wAn/X6Jc9uOXJHrn9lFk8vJzhetPunfZxgGd8TSdHvdXBIJHv0H6mzLFdmSLbA86GdZ0Iff6WB7rsjPJuL8ajJJStV4RVuEP+lt55qm0Kxg6Y5ckT/ZNsTegrnT7ZPrVxy1j9q5qqDpPJbM0uvzNDRgNwyDrx+Y4kv7JwFY4PfwN4vmcWNbFEVRqOoGO/NFvA7HMQUDxQuTBKWEEEIc0ZOpHG99fi+qYU5Sgk4nPoe549LqsJ+14QArrfK4W6eT3B/PUjEMPIrCpdEAVzeFWOD34lAUFOD+RIZfTpqrlq9sixByOu3d3X6vq4Wrm0LsLpTYky9hAH/c08b1LWEUReFAscwfbN5nD/Dqzfd5ePCK5ce1ApesqiSq6lkJSIlTS9UNvnZgkq8NTaFjTm5vvWTxKc+o+MLeMb41MsNFIR//t3YRH9s+bDegvaopyG8unr19+Vwuf2I7I6UKv7l48Xmxlbk4MX+5a4QfWsEUgN/vbuGry/v5wp4xvjU6wyWRALdfcmJZUjVV3eAdmwbJqhpfW9HPRdaEcaRU4dXP7rYbkANc3RTif1cv4NsjM3xlyJxELg547XvqJ+d30uvz8JWhSSasjBC3ovBvy3p552lsyn/bdIo/2zlM3lrMuK45xI/XLGwo56ldexeHA9xxgpll4tx3x0yK924dYm3Yz12XLTvbh3NYFV2nrBtH3WAgp2p8Y3iaHq+bd9f1XbrQ/HY6RVbTeEtns5ThieMmQSkhxCml6gb/34EpOrwu3tXdKoPG88jWbIH/HYvzyrYIL2uNoCgKY6UKr7QmNW/oaOJ/Vs4/6meaUTX2Fcr2quKhDMNo2DoczLT4f1jcw3t72o76+5NVlT/esp8n03na3C6ubQ5xbXOYG9ujtEjGyQve48kcv795kJJucPdlS1kTPnVNU0dKFa55cgcVw+BnaxZyfWsEzTD496FJfj2V5GvL+485wPSHm/dxTzzDvyzt5Y8v4InKC90NT+9ke77Eh/va+ebIDA7gZ2sX8Z4t+yjpB8+j0+WZdJ63bNxLxTB4bXuU/1wx3y4R+trQpJ3dEHA6+I/l/XZfp6Km873RGR5KZvmz+Z2nZWv4Q+3Ol/jkzmGCTgffW7Vg1mTf7MFlZped7vdNnD3/PTzNPwyO88aOJv5njn6KQogLjwSlXuDiFZWqYZz1bbTFbL+bSfGTiQTNbifLAmZ9+rpI4Lh7yxiGQVbTiZyhraL/eXCc/7Bqy/9ioIs/X3D4rXyPZqZSxYFC6yG7nEyVqzyfLbDA7z0vUoG354qMlCqUrFU1t6KwOuxnoZU9dC74zVSST+0ctns3rY8G+fSCLv5xcJxN2SIXhXzceskSgs5Tdx5tzhb44LYh8prON1fOP65Jj2YYjJUq9Pk8EvgUs7x/635+O5M+pv5OR7LH2rmp1s/j4zsO8MvJJNc2hfjlukUnde59cXCcbwxP8+55rfzbsr4T/j3i3JVVNZY+sgUD2HT1Rfz1nlFun0njURQqhsFlkQC3nWSW1LF4Np1nd6HE73W14Dzkb/3vWIy7Y2n+ZtG8hp5256pahtmZeu/OJlU3+P5YjEsjAS6JHl/Z2fmsll34Z/M7+auF3Uf/ASHEeU+WlF8AanHHQx/cB4plXvXsbnKazvdWDfCKtujZOLwXFM0w2J0vsb9YZqRUYbRUIavqvKg5xMvbokRcTibLVT5nDVwP5XUofKK/k4/N78B7DKmxFV3no9uHuW0mxSWRAG/tbOb1Hc2ztrI9Fl/YO8aDiSwf6mvn7XMMbAHujqXtgBTAl4cmCTgddiPVA8Uy/zU8zWS5yvKgj5UhPxeF/CwOeBvOz6yq8U+D4/zAKnlo97hYHvTR7HaxMVOwdxhRgD+c18pnF3af1Z4sZV1nQ6bAxeHArCaVte2+5xJ1OVkXDtDldeNSwKkotLpdvLe3bVbwsazrPJXKc0U0OOtvnAzNMPhi3S4zq0N+dhdKPJnO89bnBwFocTv5/qoFpzQgBbAmHOCxK1egGRxxp7K5OBXlhLY6Fi8Mb+ho5rczaW6dTvE3J9AUeaRU4XO7R7nb2mJ8edDHVU0hfmWVnX5u0byTngzXenLsspo8iwvPhkwBA+j3eej0uvncwnncFUtTscZlf7HgzDTsviwabNiBr94f9bTxR+dRpt5H+jv4wXiMZzMFHknmuK7lwt2N73/HY/zt3jECTge/vWTJrKBhxWqgfaGVSg0VzVLSAb/0WRTihUIypc4heVXjrniGorWzAYrZFLPN7aLN47LLUiqGQUXXmSqrbM4W2JQtsCtf4rJokM8t7G7Y2eTRZJa/3DVKh8fF91YtsDNOSprO6zfsYbO1zadbUfjuqgFeKYGpY2IYhr398aEDypKm8/PJBLGKis/pwOtQyKoaT6fzPJfJ21uiHsqjKFzdFGJD1vwelwLv720n4nKyK19ie67IHqvnwyK/ly8t6z3iDhslTef924a415pU1bgUs6fENU1hrmkOsTYcOGpA4DdTST68/YD93yuDPr6wuIcX1w0GDxTLvOLZ3aRVjff1tNHucfGvVlnAXy/sZrhY4f8m46hz3HH6fB7e2NHEmzqbGS9X+ctdI4wfZncTMJtkD/i97LMGLi1uJ3+zaB7v6GqZM/MoWVUJOB0Ngbzd+RI/GY9z20yKK6JB/n5xD53HmTFY1nV+OpHgPw9MMVausjrk539XL6DHyqr4v4k4f2Y1n10T9hN0OvA5HGRVja25IiV97tvvfJ+H/1u7yN4WeLpc5Y+27mdDpsD6aJD/W7uoITCVVzX+bzKBASzwe1ng99Ln8zR8rllV4/5EhrtiGTZm8jhQcDkUiprOsBXk+7jVxHaqXOXfhyb52UQCRYGfr10k23CL80pB01n12FYKms4dlyw55iyDiq7zrZEZvjo0SVE3GrYRr3l9RxPfPgUlJdutrcCjLic7r111QWd8vFD9+/5Jvjw0yZs7m/nvlfMB+Js9o3x3NMaV0SA3X3zqe569ELwQ3sOcqnHlkzuIW/3Aerxu7rxsqb1gddt0ik/tHGZxwMxiPt6FnZqqbnBvPM3KkJ/558hCT63f3i0XL+ZK6bcnxAuCBKXOgKpu4FJmZyrV25Qt8KFtQ+wvVk7qb3V73fz7sj6ubQ7xpf2T/PfwNLUPeGnAx8/XLaTb6+Evdo3wo/E4LW4nl0eD3BXL4FYUvnPRAK9qj6IbBtMVFafCEcvFklWVzVlzZ4pVYT8vaTk79f1p66EdPYlsmZlKlSdTeQb8HlYfoQfJrnyJL+wZ48Fklrd2NvP15f24rMGAqhu8b9t+7oplDvvzAaeDpQEf/X4PvV4PDgXuiqXtgBOY26h+dXlfw6qYYRjcMp3i83vHmLZ2zYm4HPgdDvxOB+1uNy9vi/Ca9ijdXg9/vGU/DyWz+B0KX1/Rz1S5yq+mkmzOFhuOx+9wsDToZUnAx5KAj6uaglxRNwgYLVW44ZmdZFSdl7ZEeDaTt7d7XR708aJmM8D11aFJNueKXBIJcPPFi3ErSsM2sTXXt4S5oSXC7kKJbbkiO3JFu2Ss3nyfh39f3sfFkQC782V25ovEKiprwwEujgQIu5w8lszy2d1j7C6YmQZXNQX56rJ+O5gzU6ny+T1j/GY6hVMxAzbLgj5iFZWnrF26aiIuB59f1MPvd7egABPlKjvzJTwOhUUBL10eN4qikFE1NmUKPJvJ88PxuN0ItqbD4+J/Vy0gXlX5o6370QzmLCGq6gY78kWezxRIqxqaYaAa8IvJBMOlCq1uFz9ZsxCPQ+EPN+9r2IL4Ne1Rvn3RAE5FYapc5V2b97El1/i5gpmJ1eRy2oHNymFu936Hg6+v6OMNHc0N/z5cLFMxjOPa+luIc8WHtw3xm+kUH+xt5++X9Bz1+5NVlXdt3sdzmQJg3k/+dWkf7R4XDyWy3BfPMF2p8tXl/fQeZXvuY1HRdRY+vBnVgA1XrTzqlt/i/PPOTYM8kMjyz0t6eG9vO2D2avrJRNx+VovjN1GucOUTZm+3X607e4sm46UKrR7XMWWuH69aQHOB34MDhcFimUsjAX6xbhFfH5pqGFt9eVkvfzjv+LPdHk1m+dyeMXblS3gUhY/2d/CJ+Z3HtVnIqVbRdQYe2oyOWfJ6vIuFQojzkwSlTrN4ReV9W/dzfUuEPx3onPV1wzD49ugM/zQ4QdUw6Pa6WR3yYwAG5mpvvKoSq6gkqyqKYmbUuK2dr9aEAqwNB+jxufnq0JSdOdLjdduT2Ld2NvN4Ksd4uUq/z8MfdLfyL/snUICfrV3ItU1hPrbjADdPp3Ap0O/zMlqqUDEMFODVbVE+1t/BJdEghmGwMVPgV1NJ7otnOFA6GERzAN9ZNcBr2ptOyXu3NVvg/kSW3+tqOeJDaapc5WXP7iKrany0v4OP9ncSsB6oGVXjF5MJduVLuBUFr0PB53DgcSh4rf+NV1TuT2TYVBeseU17lL9e2N2wI1esovLVoUl+MB5Dq7tq3tjRxH+umI9TgT/bOcLPJxP4HApv6WymYhiUNAO3Q+GSSIArokFWBv12EKvernyJe2JpOrxu3tLZPGd5XO01/eu+Cf53LMbcOVfQ7HKSVDUCTgc/Wr2goVfP3kKJBxNZnkjleDyZI2kFmOr94bxW/m7xPPwOB297fpDHUjkuiQS49eIlZDSNrw9N8f2xGNVDbh8tbid3X7bMnrAZhsHf7R3nW6MzXNsU4i8WdM1a9SpoOvfE09wyleK+RIaqbvCBvnb+ckG3/TkeSVU3+M7oDF/eP0lR1/E7FP5qYTdhl5N/2DtOao7XB2Zj7Ze1RrixrYnvjc3YwboFfg+JqmYH3moCTgetbpddOljT7XXz8f4OrmsJ8ydbh9iRL+F1KDiAom7wtq5m/mN5/zGv5E6Xq/yBFWQKOB0oQF7TWeT38rH5HXxm1ygVw+Dd81p5X287v79pkLFylVa3i/VNQfYVygwVy3MG+hb6vbyqLcpLWsJ4HAqqYVDVDVaG/DLwExecO2fS/NHW/XR73Tx31coj9m+bqVR5+/OD7MiXaHI5+YclPbyts/m0Z2Bc99ROdhdK/HTNQm6Qps0XFN0wWPbIFrKazj2XLT3iYpc4fn+1e5T/HYtxcTjAby9dctgx0+ny04k4f75zhCUBH7dcsviUthCIVVSufHI7eU3nWxfNZ3UowI3P7SalarS6XXb21GWRAM9mCnR6XDyxfuUxjZkAJstVvrB3jFumU4DZGqK26Ui/z8MXl/Tw8rNUOTFYKHHNUzvxOxzsu271BZkFJ4SYTYJSp9kvJhN8YscwAN87JGCT1zQ+vO2A3bPiNe1R/n1ZH02HebAZhnHEm3NB0/mXfeN8ZzQGmAGCryzr48b2JoaLZd6+aZChukysTw908WmrCbWqG3x8xwF+Yz2gwAwy1Qc9rogGiVVUO/BVM+D30ORy8Xy2gEdR+MmahbzoJGv8N2YKvO35veQ0nYDTwUf6Ovhwf/usnjaGYfCeLfvt9xDMgNynBrrYlDWDZwXtcKGb2ZYEvAwWyuiYQYs3dDSTUzW254uMlg5mqtzYFuXFLWE+t2cU1TDLObq9br41MoNTgf+3asFpL4VMVVXiVZWiplPUDXbmi9w+nebRVBbVgLDTwU/XLuLyI5St6IbB3kKZPYUSe/NltuQK/NbqZbXI7+W6ljDfH4vhdzi47/JlLAwcTO2OV1QeS+V4NJnlsWSOyUqV769aMGd/h4yqHVOj9ayqoRvGCWW8HSiW+dTOER5L5Rr+fXXIz5eX9dHpdbErX7L7t7yho9lu8K/qBt8bm+Ff95mBLTA//0V+H6phcKBUbghE9vk8rAsHeElLmLd2NdurpDlV4yPbD17TN7SE+cHqhcedVp9VNd67dT+PJM3Xcm1TiO+uGqDJ7eK26RQf2DaEAXaz3EV+Lz9du9BOvdcNg0RVI1k1g9kpVWPA72XJIb27hLiQlXWdVY9uJavpdhmIZhj854FpRssVrm0OcV1zmIKm8/bnBxkslun0uPj5ukUsD56Zhs8f2DbErdMp/nbRPD5q9d4TF4YduSLXP7OLgNPB7mtXz7kYJU7cZLnKtU/tIKfp/OvS3tPSFytdVfmv4WkuiwZ5ubUjLcDPJxL82c5huxLhimiQn69dZGcYFTSd/xmZZluuSEbVyKgaDhT+dH4nr2o/+tjw83vG+PboDGtCfu68bCkOReHRZJZ3bBpENcDvUPja8n5e3R7l2qd2mj3wFnbz8fmzF78PlVE1XvbMLoZLFRzAu3va+MyCLh5L5vjbvWN29vcHetv5/KJ5DeetYRgkVY1ml/O0jSXui2f4g837WBH08cAVy0/L3xBCnHskKHUG1Grf/Q4Ht1yymDXhACmrTODZTAGvQ+EfFvfw7nmtp+Qm/1Qqx4OJLO/paWvYVW+qXOXtmwbZlS9xfUuYn6xZ2LByrBkGT6fzGAb0+tx0ez0MFkv89/A0v55K2r2A/A4HN7ZHeWNHE5dHgzS5XWiGwQe2DXH7TJqA08Gv1i3iksjRe3jkNY1UVbN78IA5kHvTxr2kVI2Iy2H3YOr0uPj8onm8pavF/t5fTSb42I5h3IrC3yzq5tsjMw1lTgDLgj5utAJEZd2gbO2AVjbM//UoCtc2h7ihJUKH182OXJEv7puY1YsJYE3Iz+cXz7NTxe+cSfMn24YaMob+v+X9/F53y6yfPVOSVZWHEllWhf0nVHb1SCLLJ3YON5SlnWhq+JlmGAY/nojz93vH0QyDv1jQzQd62495MjBRrrAhU2DA72VxwGsHm6q6wXCpzFRZZWnQd8RG8Zph8N/D04yUKnxh8bwTbg5e0XW+sn8St0Phz+Z3NQS2vj8W47O7RwG4PBLkB2sW2D3nhBAH1XbLe29PG3+7aB4f23GgYRMJBxB0OshqOr0+N79cu9gu/z0TvjY0yZf2T/LWzmb+0+o5JM6+qm5wy3SSb43MMFKq8Or2KO/oauGKaPCYx2k/Ho/z6V0jXNMU4qaLF5/mI35h+u7oDH+zZ4yIy8GjV6yg4xRn/H5o2xA3W4u11zaF+IclPezIFfnYDjMg9ebOZu6Np8moul1WvyFT4E93DM9awAVzc5a/XzyPD/QdPgA9UqpwzZNmaeL/rV3Y0Bbj9pkUv55K8qmBLi6y2jv8cjLBx3cME3U5eWr9isMubNd8bPsBfjWVpM/n4f+tGmjI4MurGv82NMm3RmYAeHFzmG9dNJ+oy8n9iSxf2jfB5lyRAb+H17c38fqOJi4K+Y/pmihpOl6HctTvrX2mN7ZF+X+rFxz19wohLgwSlDoDVN3gD7fs44FElm6vmx+uXsCf7hhmu1Um8NM1C8/YVq8ZVePBRJaXtUaOOc0XYKxU4ebpFB0eFze2RQnOkfVS1nX+cPM+Hk7maHY5+enaRVwcOXy6el7VuHHDHnblS1weCfKuea2sCvt5x6ZBZioql0YC/HztIu5LZPji4ITdjPmd3S3885JeMqrGi5/eSUrV+OyCbv50oJOCpvOfw1P8eirJRSE/7+1p4+qm0AkF+x5P5rgnnqbX52FF0M+KkG/O9Oy7Y2nev3WIimHwd4vm8aELYLU7WVX5y12j3DaT4sa2KN9bNXBeZdhkrB5NZ3NHvtPt5xMJDpTKfLz/7PZ/EOJcdm88w7s276Pd42K+z8OzGTOj961dzTyXKdiZk4v8Xn6xblHDAsmZcH88w+9v3odTgf9aMZ83djYf/YcOo2BlFh/qnliaf943wYDfy9u7mnlpa+Swu3XdH8/ww/EYH+rrYP0LsMFwSdP54XiMb82xwAVmCfTL2yKsCwdYE/azwO89bFnon+4Y5ueTCdnW/jTSDINXP7ebzdkib+po4punYAOCmrtjad69ZT8OzN1hy7pB7arRgXfPa+VLS3t5IpXnHZsGqRgGl0YCbMwU0DFL+z/U106b20XY5eSeeIYfWTsKv7+3jb9b1MMeq53C0+k8KVWlqBlMlqtMVqpc2xTil+sWHXXspRkGL31mFzvzpTn7V9a7eSrJh7YfwAHccsmSw2bS3zad4hM7hinqOgv8Hjo87ll9OGt6fW6ujIa4PBrkymiQZUFfwzUxWa7y5f0T/GwiwZs7m/nGirnbGZQ0nTtjab5+YIqd+RIf7mvnC4uP3gtQCHFhkKDUGZJRNV7z3O6GZtadHhf/t3aRvS30hSCvarxt0yAbMgVcCnxmQTcf7e+Yc9BWG7DNZVXIz6/WLbJXfMq6zjcOTPPVoUl0zN3fWj0uHknmWBP2c8clS89qavz2XJHpSvWsNXo/HQzDYLhUodfnOeO9GoQQ4lSo6DprHttm95aLupz87+oFXGUFXMZLZnbktc2ho2YYnA66YfCJHcP8aiqJA/jaCWTajpQq/PPgOL+ZNncS/cT8Tl7aEqag6/z93nF+aE2Ea1rcTt7a2cKnF3Q1lFU/lszyzk37qBjmroN/dYTn94XGMAxum0nzD4Njdql+u8fF+3vauSQS4KapJLfOpGa1A2hyOXlpa4RXtkW5oSVMqO79vObJHQwWy/x4zUJeJv3CTptN2QKvfnY3OszKLDoWw8Uy3x+L8abOZtZYWUO1Rc+JcpWP9nfwnnmt/NO+CW61sqZ+v7uFryzrs6+NWrCn5u1dzfzj4p6GVgSGYfDfIzP84+A4YGZo5g/TXsKpwG8vWXrEhd16tQBarZ/pcKnCSKlCm9vFn/S189r2JibLVW54ZhdpVeOT8zv5zFECpVuzBd6zZb8dnPU5FP64p4339razIZPn1ukU98Uzs3YRbnW7eJFVGn2gVOHbI9MNPS6/uXI+b6oLvld1g3/bP8GPx+N2j1MH8NMT+CyFEOcvCUqdQUPFMq9+djdJVaPf5+EX6xYxcI5sv3oqZVSNP985wm0zKQCuaQrxjRX9DTsL1cruHMC3LhpgX6HMTybiDJcqLAl4+fXFi+fc9e/RZJYPbTtAzGry6FEU7rps6QUV2BNCCHHq1Hab7fW5+emaRSwNnlu7SeqGwWd2j9pZFJ9b2M08r5vhUoXRUoVmt4tLIwEuiwbt56Jh9Y371sg03xqdsZsU11wU8lHSDAatEqL39bThcSjcNJW0d28d8Hv47kUDrAoH2JYr8sYNe+wyxlpg5qUtET410Mn+Ypnd+RLj5Sova43wuo6m82axwjAMRkoV9hXLDBcrDJcqTFWqRJxO2jwumt0ubp5K8qSVCTLP6+aTA528rbMFX13mWV7VuDOW5rlMgU3ZAttyxYYJuUdReEVbhA/3dTDg93LRY1sB2HHtqgs6a/dcUGuTMeD3cP/ly4+5EiBdVbnxuT0MFsv2QupH+jv47O5RfjgeZ4H1+2rZyBvSefYXy7yps3lWsPan43F+OhHnY/1H7ht1y3SST+wYpqwb+B0K65vMAM48nxu/w0HA6aDX5zmu+YFhGLxx497DZjMt9HsJOR1szhW5OBzg1kuWHFOvy5lKlb/bO06L28lH+zsbWoKAeU08lynwdDrP0+kcz2YKc/ZxvTwSZEnQy08nEjS7nDx0xXI6vG50w+DjO4a5aSoJmNfeO7pbeEdXC/0X4PxICHF4EpQ6w7blitwyleS9ve2zbu4XEsMw+L/JBJ/bM0ZB0wk6Hbyvp40P9nWQVjVe/uwu8pre0GxdNwy25Ios8nsbVhsPNVmu8qFtQzyZzvP5RfP4yAVQLieEEOL0iFdUfjOd5A0dTXMudpwLDMPgb/eO8V1ro5LD6fS4qOgGaVVr2Ijk6qYQn5zfyQOJLD8Yj9kZGN1eN//f8n57AwpVN7g/keGzu0cZK1fxORT+YkE33xqZZrqisj4a5GdrF/HrqSSf2zM6KwuiZqG1G+hbO5sPWwp4Ng0Vy/xgLMbmbJGtueKs3VTn4ncofLS/k4/0dxzzzq8bM3nujGX4XSzF/rqNZAb8HoaK5iLbI1euOKnXIo4uq2q86KmdTFaqvKotwncvWnDU7HnNMHjXZrO1hs+h2Of6mrDf3o33pnWLGnYvPlX2FkpMl1UuiQQaAp8nY6hY5tsjMzS7nfT7vPT63DyRyvPd0Rk7U3SuTWtOpYquszFT4KFklkcS5kYtH+lv51VtUVQDbnxuN1tyRV7dFuX/rRrgc3vG+H9jMVwKfH15P286ws7TQogLmwSlxGm1r1Dmo9sPsDFbACDgdNDidjJaqnJVU5BfrVt8Qg8g3TCYKFfPeP8PIYQQ4nQwDINvDE/zy8kEbR4X/T4vfT4Pk+Uqz2by7MqXOHTAtiTg5XML5/HKtoM7gyWrKj8Yi5GsavzZQOecWTqJqsrHtw9zX+Lghh4rgz5+c/Fiu+Roe67IJ3cOM1KqsDTgY2nQR9Dp4P8mEnaZTcjpoM/nodf6v7d0NnPZUXpkJqsqw6UKa46xQfLx2pQt8M5NgySqBwNRbkVhgd9Lv99Dv89Dt9dNVtWIV1ViVZUuj5tPzO884TGFYRhsz5f47ugMN00mqVhD63d2t/C15f2n5HWJI3sqlePtmwYp64bd70lRFLKqxj8OjvO7WJo3dzbz4b4Ourxu/mHvOP89Mo3foXDLJUvYmivyN9ZCKsAfzmvly8v6zvKrOnk5VeNH43Fum0nxkb4OXtvRdNaOZXuuyCuf3U3VMLi+JcwDiSwK8N+HlPQJIV54JCglTjvDMLgrluGrQ5NszpmrTy1uJ/ddvoxurwSVhBBCiKPJqBqDhTJBp4Ooy0nE5cR3DLtZHY5uGHzjwDRf2j9Br8/DrZcsOaYM7ryq8cPxON+0sqvqKcAf97Tx1wu77Yxn3TDYlC1yfzzD/YmM3Qj6rZ3N/PvyPnuXUzB78/x4PM58v4cbWiNc1xwmfEjmdFnXeTyZ4654hlRV5W1dLdzQEkZRFJ5I5fjDzfvIaTprwn7+qKeN1SE/y4K+M5bRNVWu8r3RGZ5K5/mXpb2slPYCZ8ztMynev3UIA/irBV2sDQf49K6Rhqb1HkXh+tYwd8XMgOz/rDy4wcD+QpnP7B6hqBn8ZO3Chp5r4tT46tAk/7Z/0v7vf1nayx/3nPu7OwshTi8JSokzxjAM7olnuGU6xXvmtXLFC3BnHyGEEOJcMlGuEHE5CTqPbwJe1Q32FcuMWb2vnkzn+bXVG6bH6+aDfe1szhZ5IJElXp0dvDKA9dEg31+9AJ/Dwef3jtl9tWpcCiwL+gg5nQScDhTg6XSe3CF9a5YGfLy2I8p/D09T0g2uagryo9ULj9gKQFyYvjc6w+f2jDX823yfh4/0d3DTVJKn6/ou/en8Tj4rOyOeUVXd4HUb9vB8tsBfLujiUwNdZ/uQhBDnAAlKCSGEEEKIk/ZQIsund40wUqo0/HvI6eDFLWFuaInwkpYwewtl3r91P1lNZ3HAi0dR2J4voQAf6G1Hx+D+eNZu1H6oTo+LV7RF8TkUfjaRaAhSvbw1wrcvGrCbU4sXni8OjvON4WkU4P29bfzVwm476PpEKsd3R2fo9rr5h8U9L4jdJc81RU1nqFiWTYqEEDYJSgkhhBBCiFMir2p89cAUz6XzXBYNckNLhMujwVm7fe3IFXnX5n12aVWb28V/rZzPi1sONpYeKpbZVyhT0HTymk5Z11kV9rMuHLCDCRlV48fjcX42EefKaIh/Wdp7TDuLiQuXYRjcNpOm3+dhXSRwtg9HCCHEUUhQSgghhBBCnHGT5Sqf3DmMz+HgX5f20nkB70oshBBCiLmdk0EpwzDIZrNn+zCEEEIIIYQQQgghxAkKh8NH3Jhl9j7B54BsNks0Gj3bhyGEEEIIIYQQQgghTlA6nSYSiRz265IpdQZkMhn6+voYGRk54ochxLlMzmNxoZBzWVwI5DwWFwI5j8WFQs5lcSE4XefxeZkppSjKBXkxRyKRC/J1iRcWOY/FhULOZXEhkPNYXAjkPBYXCjmXxYXgTJ/Hsl+uEEIIIYQQQgghhDjjJCglhBBCCCGEEEIIIc44CUqdAV6vly984Qt4vd6zfShCnDA5j8WFQs5lcSGQ81hcCOQ8FhcKOZfFheBsncfnZKNzIYQQQgghhBBCCHFhk0wpIYQQQgghhBBCCHHGSVBKCCGEEEIIIYQQQpxxEpQSQgghhBBCCCGEEGecBKWEEEIIIYQQQgghxBknQSkhhBBCCCGEEEIIccZJUEoIIYQQQgghhBBCnHESlBJCCCGEEEIIIYQQZ5wEpYQQQgghhBBCCCHEGSdBKSGEEEIIIYQQQghxxklQSgghhBBCCCGEEEKccRKUEkIIIYQQQgghhBBnnASlhBBCCCGEEEIIIcQZJ0EpIYQQQgghhBBCCHHGSVBKCCGEEEIIIYQQQpxxEpQSQgghxHltplThiekUFU0/24cihBBCCCGOgwSlhBBCCHFe2xjPsjNdYHsqf7YPRQghhBBCHAcJSgkhhBDivJatqgAM50tn+UiEEEIIIcTxkKCUEEIIIc5bhmGQVzUA4uUquap2lo9ICCGEEEIcKwlKCSGEEOK8VdR0NOPgf49ItpQQQgghxHlDglJCCCGEOG8dmhklJXxCCCGEEOcPCUoJIYQQ4ryVs0r3Ai5zSDNZKMsufEIIIYQQ5wkJSgkhhBDivJWzmpx3+71E3S50YLRQPuz3V3VdglZCCCGEEOcICUoJIYQQ4rxVa3IedDnpD/kAGM7NXcKnGwa/HYnxmwPTVHUJTAkhhBBCnG0SlBJCCCHEeStr9ZQKu530B82g1GihhGYYs743Ua6SqqgUNJ3xI2RTCSGEEEKIM0OCUkIIIYQ4b9V6SoXcLtp9bvxOB1XdYHKOoNNEsWL//ycblMpXNcpSBijEOUE3DEpyPQohxHlJglJCCCGEOC8ZhkG+erB8T1EU+qxsqbl24ZuoC0SdTFAqU1H59YFp7hiNYcyRkSWEOLMemUzxf/smSVfUs30oQgghjpMEpYQQQghxXiprOqoVFAq5nAAH+0rlSw0BI80wmKrLlMpUNbtJ+vHaksyhGgapikq8XD3RwxdCnCJTpQoGMFmUslwhhDjfSFBKCCGEEOelWume3+nA6VAAcxc+j0OhoOpM1gWhYqUKqmHgczpo97mBE8uWKqgae7MF+79H5sjIEkKcObphULDuBZIpJYQQ5x8JSgkhhBDivJSr1vpJOe1/czkUBkJ+APZmDgaPJgpmgKrL72FewAvMDkpNFytsS+aOuDPf1mQO3QCnYgbBhvOSmSHE2VRQNWo5kSkJSgkhxHnnuIJSn/jEJxgYGEBRFJ5//vlZX//+97+PoijcfPPNp+jwhBBCCCHmlrWyI8IuV8O/L46YQamhXAnVCjCNW2U93QHvwaBUsWKX+JU0nbvH4zwdy/CbAzNzZkCVNZ1daTPQdXVHFAVzR79acEwIcebl1YPXn2RKCSHE+ee4glJvfetbefTRR5k/f/6srw0NDfGd73yH9evXn7KDE0IIIYQ4HLvJeV2mFECHz0PY7UQ1DA5YgakZq5Rvnt9Lh8+DS1Eoa7rdE2pzIktVNwNUeVXj3vEED0wk7LIggB2pPKph0OJxsSjsp8PnAaSET4izqT4onFO1I2Y6CiGEOPccV1Dquuuuo7e3d9a/67rO+9//fr7xjW/g9XpP2cEJIYQQQhxOTjWzIkKHBKUURWFR2MyWGswWmSpW0DF36Au7nTgUhe6AGVAaL5TJVlV2pPMAXN/dzKrmIApmptUvh6Z4ZDLJdLHC9pT5PatbwuZOf1ZT9eMJSumGIZPm80RV1yUL7jxQnykFki0lhDi3HcgVT2oH4AvRKekp9dWvfpVrrrmGSy+99FT8OiGEEEKIo6oFDMIu56yvLQoHADPoNJgtAtDt96BYvaDq+0ptjGfRDfPr84M+Lm+L8rq+djp9HnQD9maL3D4ao6zrhN1OBqxgVH/Q/N+JQpmKdvRAU7qicsvwDD/fP3XCO/+JM8MwDO4ZS/CroSkO5Ipn+3DEEUhQSghxvkhVqtw/keSe8TglTRY9ak46KLV161Zuuukm/uZv/uZUHI8QQgghxFEZhmHvvndo+R5AxOOiw+fBgINBqcDBbO5aUGqqWLG/fllbxA5atfrc3NjXxmv72hgI+VCsn1vTHMZhfU/U4yLidqIDY9aqp2EYbEnmeCaWIVWp2n9vJF/ityMzpCoqVd1gT0YCHYdSdYOhbPGkM8lG8iXuH080vP9zKakaD0wkuG88gaobDV+bLlWZKlUwgIcnU3aZpzj31ILTTusiTUvA94SN5Es8NJGkfAxBdiHE8dtnjTd0A4ayUvpf4zr6txzZI488wtDQEEuWLAFgcnKSD3zgA0xMTPDhD3/4pA9QCCGEECdudzrPUK7EdV1N+Jyzgzfnq4pu2D2gQq65hzOLI36mSxX7v+uDUlG3i4DLQUE1J18LQn7arB5R9dp9Hq7vbiFbVclWNbr9jd/TH/SxNZVnJF+iL+jjkakkQzlzoLk1maPT56HF67bLAwNOBwVNZ2+mwLqWkB0EO13SFZUHJxIsjARY3Rw67PcZhkG8XCVVUVkY9tuBtzNpYyLD1mSeVq+bV/a04nUefu10OFdislhmXUsYT933ma83iWoYJCpVXtvXNud5P1Oq8MBE0s6y2Z3Js7Lp4PuzI5UDzECHahjcOx7ndX3tBObIyhNnV+0z7PJ7GSuUz8gOfKpu8MR0inafh+VNwdP2d0qqhtvhwOk4/dejYRg8NZMmW9Vo9blZdYT7hRDi+BmGYQelAAazhdN6/zifnHSm1Ic//GEmJiYYGhpiaGiI9evX8+1vf1sCUkIIcQolylXuHI0xVawc/ZvFEVV13d5x7UJnGAbPxbOMFcr2rnEXilp2hM/pwHWYCdtAyG9nT0TdLoJ1AQVFUeixglQO4JLW8BH/XtjtYl7AOyuIVN9X6q6xOEO5Eg7MTCwFmCpV7IDU0kiAN87vwO1QyKkak6foetYNg1ipgn7IeV2bZCYqKs/FMqTmyPZJW1+76cA0t43EeGQqxeZEbtb3GYbBZKE862/Uf72gaowXymxP5dmWzKHN8b1j+RIPTiRm9WpSdYPd1jkaL1e5cyxG6TDZGlPFCvdPJNiWynPfRALNCk7qhsHDk2ZACiBb1XhgIjnrOHanC/xuNEZe1fBY587mRM7Olsqrmh1YfMW8VqJuFwVVnzOjSpx9taBU7Xo+nvK9XFXliekUmeMMZA3liuzNFnliJs0zscwJP1Mqms6eTIGiOruMZ6JQ5udDU/xiaIrNiWxDibBuGCTK1cNeIycibQXegTn73RiGIee/ECchVq6SrWo4FQUFMyM3e0hm54FckYkXYL+p4wpKffCDH6S3t5fR0VFe+cpXsnjx4tN1XEIIIeo8E8swUaywKZE9bX8jXVF5aDI5Z8lLtqry25EZBjMnH9g43OBd0w12pPKntbHwYKbATwYnef40vo9HYhgGk8XyYScSE4XyKe2HEq+btOzLFi+oYJzd5PwImStep4M+q+9TrbF5vcVW36nVLSEinhNLHu/wefA6HFR0g+lSBY9D4RU9rbyyp5W3Lejk4tYw7T43V3dEuaazCa/TwYKQ2YR97ym4nqq6GSy5bSTG/ROJhs94tFA+WFYIPDmTbvj6eKHMbw5MszmZI1vV7BLF3ZnCrODT5mSO343FeXgyNesYYqUKvxya5uf7p7hrLM5TM2mejmV4oC5gBGZA6t6JBPtzJZ6NpRt+x/5ckYpuEHA68DkdJMoqd43GZvXcKGkaD04mqP3WyWKFh6eSGIbBpkSWWLmKx6Hw8nktuBSFyWKFJ6fN1z2cK/G70RiPTafQDDPL7S0DHYRcToqazk4reLgrnccAOv0eugJeXjavBa9DIVaucvtojN3pvDSrP0dUNJ2KdY7VSnIzFfWwwdNDPRfLsjNd4IHJxKyfqeo625K5OQNW9ZsbbE3meHw6bf98qlJlSyLL84ksQ9kiqXJ1VmDUMMxS1d8cmObRqRR3jsUbzqmqrvPoVArdgJKm81w8yy+Hpnh0KsUdIzF+PDjJLcMz3Do8c0z97I7FcO7ga5osVmYFoHak8/xocIKhrJQeC3E0FU2fdU+pZUnND/nszO3BulL+kqbx2FSaO8fijL7AdvU9rhHYt771raN+z4MPPniixyKEEGeUqhs8G8vQF/TSY01cT4RhGGSqmr2r16mWLFftVcvJYhlV13E5Tsk+FQ2enE4xXqxQ0XRe3tPa8LWtyRwzpSqZSob5Id8J//1d6TxPTKe5trOJxZFAw9c2JrJsSebYlc7z+v7243ovNd1AUTjiz2SrKo9PpzGArck8K5pC+I5QHnQ6bE3meDaepd3n5jW9bQ1ZNxOFMneOxfE7Hbx1oOOUfMajdattqYpKsqLS4nWf9O89U+LlKlG3c873oha8PHTnvUNd0RYl6HLOWYrSFfDy7kXdJ1Ua41AU+oJe9maLhFxOXj6vhSbrPQ66nKxrCbOupTELa3EkwO5MgaFcifW6jvsEP+uCqnHveMLudzSSL7MpkWNdaxjNMHh6xgz8LAz7zdXXYoUDuRIDYT/pisoDEwk7+LI8GmRewMNNQ9PkVY2JQtm+L6q6Ye88uD9XZCDrY8Da3bCq6zw4aZbBKUDY7STqcTFeKDOSL3P/RILru1uIlSvcN5GkNs/dnyuxply1z8ed1u9f0RSkP+TjztE4iYrKHSNxrmyP2AGHhydTFFSdiNvJZW0RHpwwyyXvn0jagYKrOqL0Bn28pKuZeycS7M4UGMmXKFqTdwVY1xpmbbNZPrm2JcRj02m2JHMsjgTsrMKVUbOsIuJxcUN3C/eMJ0iUqzw2neapGfNeGHY78Tqd+J0Ouv0efFLed0bVsqQ8DoUmjwuXoqAaBtmqRtQKNKcqVQYzRVY3hxpKPcuazoG8OSFMlFW2pfJ2iathGDwymeJAvsRwvsSre9vsn9MNww72Lo8G2JkusDtTIFNVKar6nD2tFKDF66bN56bN6+ZArjTr/vzEdJoXdTahKAob4llyqmbdQ0JsTeZJV1X2HBLIzqsaz8UzXNXRdMzvWaaiklM1+5qqqQ+0aYYZZK99j2EcvAc8G8/QH/Id1zNaN4yzUhIsxOlS1XW2p/J0+T10+huvpX3ZIo9OJWnxunlVTxsuh4JuGOy3glILw37Kmm5txFJgrVXK/8xMhrKu0+Jxzbo+L3RndjQuZqnqOqqstglxVuzJFNiRzvPgZJLSHKnz9cqazli+NGd5zBPTaX59YJrn4rOzb3JVjdtHZuzB3Imo/1nNgInCqS/hmylVGLdKicYKZQp174eqH6yBL+v6nA2aZ0qVhp+ZS6ai8tRMBgN4eibT0Eg1r2pst3q4JCsqW5KN5UNFVePhySQ7U/lZ2T4zpQq/GJri1uGZw36Oh5b1qIZhT4LPlNF8iWetc2SmVG2YkAB29lZR09l9CjJoAMby5t9wWZOBwbOwwq3qZnbYXFlatXNrrpKQwUyBW4dneHomM+fvrTU5P1pQKuh2ckV79LC9gE5Fr5ZL2yJc1hbhNX1tdkDqSDp8biJuJ6phHLHR6UShfNhm3alyld+OxIiXq3idDlY1mwGUjYksY/kSO1J5MlUNv9PBVe1Re7L9dCxDQdW4bzxBRTdo97l5xbxWFob9+JxOe9fCXXXn4GC20JDd98RM2r7Wnpw2e9AEXA7esbCLtwx08rJ5rbxsXitORWG0UObusTj3jCXQDIPegNfetbB2zsdKFWLlKg5gSSRAk8fNq3vb8DsdpKsqd48nuHMszpMzacYKZZwKXN/dwvyQn2s7mwAYzpcwgIUhPwut19AX8nFZWwQwryuPQ2F1c4i3DXSyriVsB4UXRwKE3U5Kms49Y3FKmk7Q5aQ/dHCxoivg5S0DHVzWGrY/u8FskecTOZ6aSfPgZJJfD8/MKsU4G3TD4EDu5BvGnw61zL5TlfVbC0qFXE4URWkIRNU8PpVmczLHhkP+5lCuiGYcvD8+H8/an9+WZI4DVpBmslhp+FynihWquoHP6WB9e5SXdDXjsL4vXVVxYJYSLgr7afO6cTsUDI7VF1EAAFAMSURBVMwg+650gcem04wWyjiAdS0hXjGvBQXz/rwnU2SqWLaf+9d0RFkaDfLG+e1c39XMRU1Bru1s4k3z23mltXi0M12YVdqfrqhz3js0w+B3YzHuGos3lOgVVY3pkvn9tb559V+PW2VHYJbFDuWOPYtjuljhJ4OTPDWTPvo3nyJlTSdxmM0JslVzjHEuXh/i3JKuqDwTS8+Zwf70TIYN8Sy/G42zOZG1xzi70nkemkyiGeZY72krK3iiUKao6XgdDnoCXuaHfDgVhUxVI16uMlEos9cao13d2fSCC+JKUOosylZVfjk0za3DsTn7LpwJqq7LTdmiGwZbEllGjuNBezgzpcopS6e+0MTLVaaPoY9Krqpyx0iMrcnZvU1Oldo23xXdmDOgBOYD6YnpFL/YP8Xd4wnuGI3ZW7kbhsETM2l78rYzlZ+1Y82mRJbpUpWnZtKMHZKKq+oGz8UyPBPLsC9bJF1RZ03cS6rGYNb8/a3WZHek0Ph7KprOE9MpJosnXoNe30PGgIYyvZF8yS6PADPbpz44tz9b5LcjMW4fiR12xx7DMKySGfPnyrreMCnZFM+iGdiZS5sSWXsQUNF07h5PMGj173iqrn/HdLHCXdYkMllRuWc8Mec9bUsyx3SpituhcKnVO2h76vSU4JiBlkJDyUfGKo0E8Fuv8fn4wUHMRKHc0F9oazI/67mQLFfn7AkE8Fwsw/2H9LspazozVpPvWr+k/cdRwlfWdDYnsvb5fiTDuRJPzqRn3fd0w+Du8Ti/G42zd45g5oZ4hocmk7MmK7Ud7IBZwbsaO1PqME3Oz6SAy8nq5tAxN8FWFMXOFNyTnTsAOV2scOdYnNtHYrMCvgVV446xOHlVI+J28treNi5vi7LU+p0PTSbtgM8lrRE8Tgerm0MEXU7yqsbNB2ZIV1UCLgc3dLc09ORaGjV/x3CuRFHVMAyDbdYE+dLWMM0eFyVN54mZNPuyRXsQ/eKu5obMw3kBr11CN1WqoBoG3X6zaXztfDyQK9kTdTB7gPmt9zDqcfHG+e1c1BTEqZgT/p3W913V3mRnWC2KBLjcCjwFXU7Wd0Qb3qtVTUGu6YhydUeUty/o5LK2yKzdGh2KYmezxaxrbHk0MGtSEHA5Wd0S5s3zO3h1byvrWkIsiwaYH/IRcjkpa2bA5WyPq3ak8tw/keTJ6VMbBMhXNTsIdKK2p/IM50tsiGft+9PJOHQHzlpQqvb8yFZVpqy/szvd2LuplnW0rjVMl9+Dai0yjVnHB9jN9uubE9cyinqtHnMLwn5e0dPK0kiAF3c18c6FXbyip5Xrupp5XX87f7Cwi7cNdHB9VzOrmoN0+T3MD/p4w/x2Lm6N0BP02dfEkzMpu0R2SSRgZys6FIWBsJ8r2qN24HZewMsS65p/fDqFphsYhsHmRJbfHJjm1uGZWaWH+7JFe3OH+mdw7T7b6nXbv7M+KLXfGi85lVoPtuwxPUt0a5ykGga70rPHSKfLg5NJbhmeYWqOcdFTMxmejWXsz7heqlLlwYnEYQNaFwLdarZ9KvuRHUrTzc/7aAu+57KpYpnbR2bYmsxz91i84dydLJTtxUMDeC6e5f6JJJsSWR637ru9VqbTrnSB/dmifQ9ZEDazDN0Oh71AsztT4Anr55ZHA7TPsenKhU6CUmdAvqrNunHrVlpwWTPTfM9GfbZuGNw2EuOmoemztvVrUdVInoIbf66qnvTq5O50gWfjWR6YTJA/iZ42g5kCvx2J8fBU8qSOZzRf4uf7J496bhiGwVi+xM7U7EksmDtv3TESO+4mnqdDWdO5YyTG7aOxIw5GdcPgockUU6UKzx6yrfrxylXNDJtD/15J0xuCALszBWJ131PWdO6fSPDrA9PsTBdQDQMFc9Xj1uEZRqxJeG0y5Xc67EFXTV7VGnrGPDyVsieXqq5z30SCzckcW5M5HppM8usD0/xs/1TDZ74zU0AzoM3r5mJr0jSab8w62ZzMsTNd4MGJ5JyToVipwo5Ung3xDI9NpXhyOt0QaEiWqwxbg+yLrF1A9mQOBi9qr2FlUxCv00GurglwQdV4YjplvteqxqNTqTkHqrsyBSaLFZyKwlXt5qRxeypPuqKSrqj2w/2G7mZ6Al40wxxkq7rOvdYA0W1NnHekzOy2yUKZu8fjVHWDDp8br9NBrFzl/vHGPjaxUoWN1uBzfXuUVc0hwm6nlfV17BlJumEctU+JqhvcNx7nockUNx2Y5t7xOCO5EvdNHMxKeV1fOy7F7E8zYmUy1QIISyIB/E4HeVVr6DMwVSxz6/AMt85xLU8Uymy2VvXrM6zGC2UMoMnjYlk0iNuhkFc1e4J2NE/NpHkunuWO0fgRA1O5qhlwq30u9e/R84msvYK/M92YmaYZhh3Q2JspNNx3p0oVktbrzKtzT4TtnlJHyZQ6V9X6WU0VK3Pen2tBuYpuTpRr15VhGDw2ZY4fWjwuXtPXbvfDWt8epc3rpmztTGhOMM0yO5fDwRXtZvCmrOs4FYWXdrfMCqS1eM3yIgPYmy0yavU5czsUlkfNLA0FGMqVeNR6zq1tCdHln11q0B3w8vKeFnxOB/P8Hl46zwyANXvdLLT6aj1jBbcAljU1lvT6nGaW25vnd7IkEkDBHLAviTZ+36rmEK/ta+P1/e2zduxTFIWl0aB1DRx+2Lsw7CdinUtO5WBwbi6KotDl93Jxa4SrO5q4obuFV/e24XM6SFbUw94Hz5Ta+zmUK83KQixrOg9MJBqCLDWqbn5triymsqZz8/A0vx6aPuqGG7rVO+/QIHWtR1PNU4f0ODsRtftGbRODJjtTyrym6u+jWl0JWrqiMlOqogCLwn6u7mjCqZiZwvdZZa1LIgEub43Yv6d2rKPWfbuvruy/O+Dlms4mFoYDDSWCYJ4vIbeLgbCfy9uivLq3jRvmtdDkOZhVubo5ZD/7cqqZ4VgLth7J5W0RfE4HqYrKc/EM944neC6excDMrK7vn2gYRsP7P1ms2EGbWj+pvuDBXjfxcpWSFZiuZXSub4/gdigkK6r9PhzJnkzBDvBoBvYiW73pQzLRTlauqtoBtUMzujTdsJtI70rnGwL+hmHw6FSK/bkSDx/yLDtXJMvVY1r0nilVuG987uDa84ksD00meWwqdRqO0LTF6rP28Gn8G8djeyrHrw9Mc+94go3xDEO5IpOFMhOFMuOFMpPFcsNceChb5K6xOGXr/plTNR6xehequrnICubmJVd3RHEo2MF2MK/nl81rYY2VofzYdMrOvFxolb4DLLKez7vSBdJVFb/TwSWtR7/uL0QSlDrN8lWNW0dmeHgq1VCmty2Za5gYbJujJOV0G7e2zS1q+pwPidPNMAzuHItzy/AM8dKJBx0KqsbNVrPHQxuiHquSprMhbpaIHPoQn0usVOG5WGbWQ1Q3DDZaPzuSLx/xIRsrVXh0KsktB6ZnBUyqus5j02bfjCfmyD4A8/0byZX47UiMu8cTPDGT5p5DIvlbElkem04zVaqc0cbOifLs3STAnHjWyqeeqGsKeqjNiZy9jbsBPHOY8p1j8UwszWC2yOPTjZOEEavUo9njsidHT82YGTi5qsodozEO2IM0L6/qaeUtAx32hO/eiYS9an9tZ5NdIrK9Lji4LZlDxyzVabGyCx6cSFLRdO4ZTzBeKONSFJZGArR53TgVa8JglalpdSVmK5uCdAc8OBVzkl6bsFd13Q6EFTV9VpnggVyR20ZiPDmTZlMix26rZPGO0bi9krzZGqQOhHysawnjVBTSVXPAXlC1ut4ZQbvHytZkzh7AlXWDqNtlP5QPPYZcVePZmPkZXtoaZnlTkN6A1/xsYxk2xs2Svt6Al06/l6s6onaDYnOls4LbofCqnlZebJVJDOVK/G7MDEh1+T28oqfVzsoYL1Z4cNJcsbp7LM6dY3EM6/Utsra6X2Vt/b4tmbfPw4KqsTGemTOTr6Bq/GL/FHeOxQ973mq6wf0TCcaLFWqJJyP5MvdOJEhVzMHGDd0tBN1Oewvg5xNZO0vKocDFLWG799GWZBbdMMhVNe6fSKJjTqrqm1XrhmGnhtc+l9rxjVkZdT0BLy6HwoBVirRvjoylQ2Uqqj1pzasad47FDxusf2omY1/XY4WyPdEcL5j9jWpih2R6jeZL9v1KB7amDn7vjkPOoZk5PpODmVLnZ1Aq6HbaPSP2HvIMTlUOBooVzOtqv3U/2pMpMGqVsF13SHaS06FwfXezHZi5sj3S0LdsftBHX9DcFfBFnU20HWY1thaQ2ZMu2JPYpRFzst3m87CmxTxHNQPafe5ZPbPqdfm9/N6CTl7Z29YQFFrXGkYBJopmFlWTx0XnYY4n5HZybWcT717cfdjeOe0+z0n1iHMoin0fXx4N4nMe33kVcju5ofvg/enQEuQzJV/V7Gwv1TDs+0DN9lSOoVyJJ6ZTsxYx9mSKDOVKbIxnZ204sT9rNqJXDYN7x+N2H7N6taDTTUPT/G40zu/GYg1BsR2pPGXdIORy4lIUZkrVOYNjx/V61cb7QH2mlGEY9rU137r/7bCydWqLLT0BLwGX2QdtTbN5HtcWgta3R60SG3Nnuni5Sqaikq6qKHBKe74oisJ1XU12cO3qjqZZAda5eJ0OrrQWeral8va9oVauO2g1Wgdz3J+sqLiUg8+DTdauk7UgTl/QfD+arfdxvGiW1uZUDZeisDDsZ7k1DtiUPHK2VNlq0A4HM733pAsNPzNRKHP76JEzrY/X/rpA1NghgbNa1iaYn3N9Nv5QrsSMNR9JVmb379INg8FMgQO5Isly9bTsRJipqNw+EptzE4zBTIGbh2f49YHpIy7o56pm1vhwvsQjU43BtYKqsS1pPl9H8qWjtl04EfXX3VihPOe94kxSdYONcTP7fiRf4vlEjgcmkvzOGh/eNWZmc/903yQ3DU1x73iCB6zyu76gjxt7W3Eq5nhuSzLH5mTWLo2/rC3CsmiQG3vb7Gv30tYwl7WZz96LW8N0+jxUrYWioMtJR91zrifgbbjOr2iPHtN1fyF6Yb7qM2i6VKGs6ezLFrl9NEbWeqjVIqmXtUVwKuZqxLGuXs/lcJMk3TB4cjrN5jkCEvWlFLsOeUiAeVM52iqBYW1JuymRtUuh5jqGuW7co1ZQzGD2Cnr9zx7NhniWqm5QqdtOut5zsQy3j8TYkswdNu18YzxDWTcIuMxLYk+mMGf9cKJctXc52pzMcd94oiE7aV+2aNfcA3NuwX4gV+S3IzPcNhJjT6ZIoqLagYqazYmcnV5d0nQ7aFBj7oQW496JBLFyFaei4FIUJooV7rDOsw3xjN2/pnZsp+Phc6iJgpnRcdshAwzDMBo+5/qSjXrTxYMBtHUtIRSsHaQOKX3LVtWjph6nylV7lSxRVhuusVrAaX7Iz2VtEVyKwnSpwsZElttHY6QqZmnL6/vaedm8VroDXsJuFzf2trHCGpCBGZBaEgmwIOwn4HRQtK73kqbbr29tS5iXdLfgdphlLDcdmGbSCrS8oqeFazqbeF1/O+9a1M0yK22+FmQsajp+p4OBsB+Xw2FnI9R25RjMmBOF2rb3W5I5O126pGp2GnGHz8OyaIB1LSGibhd5VeN3ozGGcyW78WKtCWxtsLonUzB3bMOceEY9LpY3BXEpCvFylUemUnX9XZq5os0cGD8byzBjbU8/VSzzyFSSqpUltMIKxlzeHkHBHBTVBpCXWhPCsNvFxVYpQ6aq4VTgZd0ttPk8LAz7eXlPq5011eX38LJ5LbgdDtp9HntSWFuxGiuUqermhPfqjqaGHjI+K+trMFNkqzWRej6R4/6J2du+70jlKWo6U8XKnINF3TB4cDJpvR8Kr+xp5c3zO1hhZSg5FYUb6rJSVjcffB9rZX1LIwGCbifLogE8DrPPwGC2yP0TCUqabgf+xgpl+/wdzBRJlFU8DgWflWFV22Wvtorda63m1/rsmH1UzPv7zlSeByYSs+53m5M5swG2z0PY7SRb1bhzbHYZ2YjVBFgBuyxyZ7rA84ksD1uva0kkYGcU1A/ya8+gdp85WdmdLlBSNXJVzX59tSDF9CHPx/odt87XTCnALpPZlsw3ZEvVJg39QR9rrYDPUzNpZkoVnrKC9Be3Rmieo39VyO3i9X1tvK6vbVbzVUVRuL67hbcv6GRB3WrtoRaG/bis4PREsYKCGRivWdti7ijodzrMQPFRel/M9fWox9WwYrw8GmwIoB3r7zmV5of8vNMq8TsRnX6vXT74XDzLNit4fyYdOORZub+uZ5luGHY2ZUU3GrKIDMOwg8EGsCfTOC6rXbseh0JFN7h7LE6qUsUwDKaLFZ6cSfOL/VM8HcvYJXWJsmqX5lZ1na3WeX1Ja5jVVmDz2XjmpHqrHizfM4MoTdb/1hZWslUzmHJtRxNNHhdVa5fX2qR5Sd2GG6tbQrT73ARdTq7vbsblUPA4HfQHzfN0MFu0S/e6/J5ZGVEny+d08lrr2q3vZ3Y0C0I+u1Qo7Hbymr52LmuL2KVBtV5atTLcJdGAOWnGfJ5sTeZQDXMMXAse1QJu44WyPUboD5qbnNRKamdKVSaL5rM+Wa4ylGscZz6fyFLWdKIeFy+f14JTgURFtYMUhmHYC1ZFTbcXdU/W/rpAZ/qQSoraIlstK3KnVdKp6QePpZZttyGetcfmtUW4h6dS3D+R5ObhGX40OMFNQ1NsTmQbykJ1w8zG2pspHHegbXPSXJR9dCplZ3SBGax6wrqWiprOHaOxOUsTzSz8pP13E2XVXkAF8zOpBeUM5t4B9njuWXO9vtp1V7MlcXYC9DW1FhQBl4Mr2iIsiZi93qIeF03W/9WC2pmqZl/jy6MBbuhuNu/rVuB3Qzxrt7tYXxdAavd5eNP8dt48v4M1dYs0DkXhxXULRQvC/obnnMMK9IIZoFpwHNf9hebsN2K4wC0I+/E7HTwwmSRRVrltOIbHqaBj3txXNQXJWKUr25L5OdPfjyZWMnuq9AZ8vLi7ueFr+7NFdliBgHkBr70qWtF0hq0dRxTMNOeZUpUOq7mhYRjcN5FgqljhFT2ts2pbc1XV7gtQf+O5rtNgUd0DPlWpcs9YAoDX9bc3rGLWNxnely1yeVuk4QH/9Eya7ak8EbeLVp+bVq/b2unm4GmbKFcbJjk70nlWNYfsgetMqWIHdKatUrB5fg8rm0N2L4D64MiLO5vZmsoxki+zIZ7h+u4W+/16oq7EQMGsq09WVDYnclzcGkY3DDuY0un3MFWssCdT4OLWsF2DP2ztEARmRHgg7Ge6WCGnajw5k+a6rmYyFdXOGFhq7dC0PZVjWTRA2O2irOncM5YgXTVXu5Y3BVnVFKSo6dwzHidVUbn5wIz90Lm0NcxovsyUVcJ16QkOthPlKolylUWH3FDrlTTd3Job80G1JZmzB/cTxQqZqobbobC2JcyzsQzPxc3di2oT9Yqm89Ck+fMLw34ubo1Q1c1+Jk/HMrzBGiRtTuR4PpHF41B46bxWOv1zr65vsj57BfPhu926xqq6znihFpTyEXQ7WdMSYkM8a2d2NHlcvHxe66wJr9OhsL4jykDYhwL2pM+pKKxoCtoTkVxVRTUMWrwueqxz7ZqOJrOpuqabAal5rfY1B+bD6aqOKH6Xg+cTOSas7JAVTUH7HOoL+hgrlBnNl1ndHGKbda5c2hphMFskXq6yKZnjirYIj0+nKWk6zR4Xr+pptRs6L48GuWssTrKict+EeX321N0fFkcCDGaL7M8VCVjZArX+Nz6ngyWRADvSebtp9iXW5LjJ42KyWGYoV+KecXNr+lrgwKGYAbzatdnkcbM8GrTvTwvD/oZd4VY2BRnOl4iVKrykq4WuuhXpeQEvr+trZ6JQZlHE35B90RM074Mb41kz88LvocPnocXrbpjQuhwKK5uCbIhnedRKw66pNRqvTcKrut4QUN0QzzIQ8tv3K7PcNMlwvmQG0Oa12Pfy9R1RLmsLo9b1yzLfRycrm4JsTuYoajoOBXuV3u1wsLIpxPOJLI9NpTAAr8PBy3ta2JMpsCmR46lYmg6/h+esDM81LWEMw+yNtiWZo9njpqjpuBTFDux0+T34rcDpxniWkXzJLnFJllVe29eGx+kgW1XtgeplbRECLgd3jMbJVM1A5jWdTXT5vai6YU84L2oKssZqHP1sLMPzddfR+vYIY4UyI/kSg9kil7ZFqGi6PfC7pqOJR6ZSxMtVtqfzGIZ5vXb5PSyJBJgqVWZlk9Ymol6H44R3rjsXDIR87PJ7mCxWeGgyyWv62ihpuj1hXtUcos3nNlfmK2afPR0zWHdRXZDoUCG3i9Bh+q07FeWova/cDgcLwn77+ToQ8hGqe/Y6FYUbrd3ITiZQtK4lzFCuiFNRWHSEINmZdLK75y2LBkmUq+xMF3g6lmEoV+KazmhDqdbpVFsgXBDysT9XYiRfsndsHc2X7QUvMDN7l0UDKIrCWKHcsGvc7kyBtS1hHIpCslwlVjZL3V7X186Dk0ni5Sp3jsZxKErDgl/Ebe506Xc6uc/a+bDT76GoapR1c9fEBWE/umFmzeRUjS3JPKuag4zmy4zmS/icDla3hI8p8+3Q8r2wx4UCVPWDfen6Qz48TgdrmkM8PJXi+YRZ3uZxKA0leE5F4TW9bRg0nteLIn7258yeMLWARd9J7Nh7JAGX85h709UoisJLupsZzZfpCXjtZ9MlrWGG8yUO5ErsyRQYK5RRMO/XYbcZFB7MFu1gUH/QZ4/vegJetqXyDZl2A2HzNftdTpZEzF0HH5hMolkZdGCOt3qtjMxakPPKtgh+l5P5QT/7ckV2Zwq0+Tzsz5WshVUza2lnKs/SSOCkdohNW0EvBTPwnaqojOXLLG+yMr+s5866ljDbU3li5Spbkzl8LqddNnljbxu/HZkhU9XYbI1jN8SzDGaL9i6K2apKRTd3Xn4unmVjIstA0I9mGIwXzcUwMM+xNS1hVkSDDb375lLRdDugZgAPTCZ5fV8bfpeThyaTVqsCD2AwXapy11iC67ub7XPR7N2ZJmFtfrEsEmBzMsfGeIYFIV/D4v2SSIA9GXPXyNXWLqQA8VKVO8di+J3mAtniSGDOzB1VN3h4KsmBXImrO6Isq1usrVXftHndxKxgZbYabpi/nUm141kcDnDRHLvw1pQ0jVipSqxUpcnjYn7o4PWwJBJgulSxN/rpD/rs7Msat8NB1DP7vQpau/Lutd7rQ13aGiZqXY9HW5i5kJ2/I7nzSFfAy+v62mj1uinrOlkr5e+ajiiKonCRtWPOcL503H1/zN4ASSq6wb5csSGqbhhGQ4ZNfSPjoVwJzTBv2LWBYH0vnH3ZIiP5MhXd4L7xREM/kVTF3PFnWypP1spiqD1AHplK2RkciXKV343GyakaOVVr6FGQrap2U8WA1YunPoU7Wa6aJY2Yqxz7skWeiWUamhYahsEz1oSoP+jD53RQUHV7hR2wM9JqE1MwU5HvHU9wt1Vr/ZS1RfyCkI+ugNeu5R3KmRPidEXlt6Oxgw3qQn7eOL+da6wdfzYlsiTKVTtLyutw8NLuFvxOByVNtxun10/gFoX9vH1BJy/uaua6riZ715Xa69QNmOf3cHVHlG6/B80wM75q5UG1BrVvnt/B5dbDvsXr5rW97bR4XPbg4Mr2CGtawvY5tiudn7UiqVnZLM8nstw1GuOBObJEiqrGnaMxHplK2UGEQ9X6nBRUHa/14N2eytkDxloQclHYz0VNQdq8bqq6wTMxc5V0X7bA3ePm+RJyOe2+Q2tbwngdZr+EzYkcd4/F2WgNKMu6wV1jMYbmyNJLV1T74f6iut2ZslVzgKIZ5opiLUX9oqaQvVLS6fNwY2/bETMwuvzeWVkIy6Jm9kuyotrX3urmgzs8LQj7uaQ1TKvXzSt7GgNSNWa6b8R+/S5FYVldb5PeoPk3p0sVBrNFMlUNj0NhqbXyWXuvaz2GFOBFXc0NO4z5XU5e3dtGW93Ar1aOA+bOOyGXk6pukK6qOBXzvK+5qDlI7bd1+g9OjmuBt7DbbPhb0Q28DnMV6FU9rbMmZetazUmHU1HsJq81DsUs13vHgq45V4xrWVtzBSQGQn7eNL+D67tbWNkUos3nmXPivNzKYgKzBOKajiZ7NWxLMmv3pdqdLlDRDSJuJxG3k2Jd9qJhZaMO5Uo4FLihu2VWSYfL4ZhzcnVRc8j++7UsqZqVVkaagTnIv767mbDbLC8Ju50UVJ3fjsQoajpht5OV0aD9elKVg9kJ3QGP/dk7rIa85uvLkaqoeB0Oe4ezR6w+OFsSZpbUvICXDr+HkNsMagZcDiswFefBiQTPxjL2rmvrrM9vVVPQbrbtVOAlXc24HA56gz68VkBsLF9m0MrAa/O6afa67fNvRypvbxywoiloL4jEy9WGrNRaiWXUc/5mSYH5mbyosxmPw+wxtjGeZXsqj26Y2Y2dfg9ORbH7OOmY94Rrz8DOPEvrFpjmGsg7FOWkjyHicfH6vnZe19d+yrNOzqb17VHWt0ftDNxbhmd4eDLJI5NJHpxI8sBEYs4sh+Mxki9x84Hphg0uSppm93u6pDVCyGXuEljLmtxtZT8tjQRwO8xMuFrmSK3senk0gNdhjqdqpU+14GRf0EfE4+IVPS00eVwUNZ18XVnXy+a18Ob5HSyLBukP+ew+iI9Pp+0AUS3Q5XIcLJfcnMzys32TPDiZZG+2yNZUnl8PTbM7feTWFrphzCrfcyoKEWvyWyuBXWzd9xaE/YTdTmq/cWHYP2v3TWWO87on4MVnjelqvSh7T1NQ6kTVAsn111Gz121nYdT6B9Uv7q455LquD7SZ9x4oqDoF1VxI6wkc/Prq5hAOzHmIahi4FIUmjwsD89x83Bpb9wd9drP2Wi+4fdmiWdoXO7ioMhDyYUBD/7wTUWvIPi/gtV97bb5RUDUS1jyrJ+C1n1s70wW7ouSS1ghep4PL22olkTmei2XsZ/7VHVFe39/O7y/s4p0LO80yaK8b3YB9uSIH8iV7Z8aw20nFysC66cAUW5M5kuXqYV/fYLaIapjtEFq9bnPjhIkEz8xkiJWreBwKL+5q5pU9rfQGvGiGwb3jCX5zYJqHJ5M8Nm0univADV3NXGyNN2vHsKGuVcKVVm+wbFWzz2ndMHh8OkXFGvs9Hcvw8/1TPDqVaigXLGs6d43F7fnWs7GDuylrhmGPvS9pDdNjtWo40U2LxgtlnplJz9meRTcMRq2g++GUVM2+/x1t4cPndNIb9LGuNczAIQEiRVFY395Eu89NwOlgvTWHP1btPg9XdTTNORZ0OxyssHq2vpBJptQZErLKfp6aSTOcL/GiziZ7Na7J46Yn4GWsUGZ7Om9Pio7GMAwemUraK8Zg3hhe29eGoigcyJmr4C5FQTUMDuRLJMtVmr3uuqixny6/l73ZIvtzJa7QdBTMPi9gDn6LVv+b1/S2UdA07hw1S4qaPGaJTU/Ai0tReHgqxb5skfsnklzRFuG5eIaKbtilHztSeZZHg0Q9LjvroCfgpSfg5elYhl2Zgyt2tdX//qCPZdEA8XLV3qXn7rEEL53Xgm4Ydu+WK9oj7M0UeD6RY3sqx4Kw325e58AMSoTdLrJVlZ2pPNvTecYLZW4ZnrFf52XWA6jF62aRtXr06FSKvKqZaZ9OB9d3t9iBhKjbxf6gj+F8iUenUlSsm+KqZvPGssRaodiVKTAQ9rMlmSWnmhO4qzqi9mS60+9lbUuI5xM5Hp0ydydTgCvbzRve5e1Rbh2eYX+uRFGL22VfL5/XOmsHoaDbyY19bWxO5GjzuZlvBRL6gj77c9ibLdr9AHam8mZQ6JAHpM+Zbujb8fRMxm7291wsS2/AZzfWrdmVLjCcL+EAXtHTytMzGaascriLrdU6MAMBtYyg20bMYN9wrmQfg9knpckeWHmd5oT3qZm0vZrnUhSubI8wnC8xki/zwESSK9s1VjYdHGBttgJXfUEvi6wVoYlihZ2pPAXr4Tm/blXQ5VB4dW8r44WKWbpyAtvE1z73HWlzUhl2O+1SuJq1LWG7HOdIljcFafO5cSpKQ2+TsNtMNU5VVJ60Ag9LowHcDgfzAl7mBbyMF8p2QHZdS9hOxz/0WF/V28rj02n8TkdDlqa5M5jfznbptwIK9cewujnEaMG8l9U/mD1OB6/saeVArkSHz0Obz33YiavP6eD1/e3ohjHnCppDUfA4T9/E22v1eIqVKiyLmtetqps7FxVUM1tlSSRglzzUr/5vs7IX92aKdhDlxZ3NxzVR8TkdXNUeZShXmtWTx+t0sLolxMZ4lvXtUbvxrMuhsL49yj3jCXsydllrBKdDwYnZiHpLXc/C+kkEmBlvO1J5FMygz9qWMJmqapZy5s3m/bUJ6Nq6QGXE4+INfe08F8+yO1No6NlxZdvB+5liXdvNXhdtXo9dXlbLhNmeyrMnUyBrNSmvZeDND/qIul1WpobZd6E/aGYjep0Oe3vvWpCqNvHoD50b2TUnI+R2ck1HEw9MJtmczNnb09evqLb5PKxtCfN8wjwfDr3/ng61XlFOhdO6E1DTSWRFnKsUK3O2L+jl8ek0Y4WynVlaM1Go8Pr+toYMtGNVK3tKVVQemUzxpvntuBwORnLm5gYtHhcRj9lYe2syx/5ckXafx56crbIC4ttSebal8oTcTjs4tao5hFMxv7Yrk6cn6LWPfYmdMevklT2t7EznafG66Q345nxmrm0JMVWqMF44uBBUX7I5EPLR6fPY96uw27zua72PHptOsztT4NrOpjkzzYqabgfu/a6Dz6iox2VnffmdDvv+6VAUVjeH7LL2+tK9I6kF9GuZPxG30+5dda67uCVs7rpq/fdFdeOkJqsC4UCuhMtq3l/jcjjo8HnsjG2zdO/gZxxyu3h1bxvZqkqrz03E7cKhKKTKVXZnCna2bX2z9tqCV07VzAVvVSPgdLCqKUhZM4On06UKe7PFo342hmFw/0SSZKXKK3ta7TFELSCyIOyn2eNiQ9zs26gZB/tmtXrd+FxOep0OO5sHw+wxujhSGzd76fabr78WkLq4JczS6MFFOJ/TyeKImU0UK1XYly3icTjoCXrtzSIGs0U2xrPkVY1nYhmewTwnewLmRgm1xU+jbqOc5U0B+oM+bhuJkSirJMrmuXxtZ5P9/S+d18Lj0+bzOlVR7axnMPsS1bLL17dHuX00Zm8qAmarBLfDwcKQn11WtlR3wMvOdMEOfq1rCbMnU7B7a+3JFJgX8LI0EmCjtTuyx6HgcZhtEDYnc1zeFjF7ReqGfd05rSzMPZkC61rC9u6qR1O03q/avaek6byoq7EaaHMix8ZEli6/h1f2tM451tyXM/vHtnrdJ/2scTnMTErgBZ3RdLq8sENyZ5jLoXBNZxPvWNBprxrU2DtepQvkqhoVTaeq60dcLdiSNMvMnAp2g9+YFbwxDINNSXNSelFzkPnW39tslRXVouILw37afWbZjWZlK22IZyla/Uve0N+O39rV496JBL+zAlLNHhev7m1lIGSWziiKwos6m6ydQ8ztX+t3mqo1NX42lkHVDfZY6aPLo0EWRwJmnXlZJVauMlksM5I3U4wva4vQa/XUuLG3jZ6A126yWRtUrIyaacjLokEcwHSpSqxUsRuXL7XK3sCcTF/eHuVN/R32ewJmlkh9VszFrWEcmI0OK9bOXq/rb2/IbKlNvjwOswSwliVV65lTaxQ7bgXHaquEV9RN4Gpq/TlqmQArmoL2zbN+e95Jq7fH9V3Nh01vdjscXNoWsQNSYA6oan2QtifNlcfnYhl7m16f1Ueotmq2M12wSwBG8iX25cyVl2YrC+uxQ5qGJ8pVu9nypW0R2nweewV0b6bAMzPmilmn/+Aktc3nYbn1HqmG2fh0bUuIN/Z3zMpAWh4N2APAJo+L1/W1sTQa5IbuFvt3PDWT4XejMUatjMPag6wWAKoFrHZnCnbZ0PxDJrQht4ul0cAJBaRq6rOIVteVkp6INp9nzp4xtWypqm4GMFdEDw4y63uhtNVloMzF7TD7wVwxRyB8cd2AcPEcg8NL2yK8ob9jzmBS2O1iVXOIDv/cGUr1gi7nWUvpBnM1dU1L2A66uRyK3Wh8cyLHvmyRvKrhczpYFA7YA1XdgLvH4nbJ7lXtUQZOoPxoUSTAS+e1zDlQW9sc4g8WdtlN0Wt6gz77/tXp8zSkkNd6fRz83sZrqdXr5g397bxloNNuqNnu87C+vQkwr30ds3Tu0HJyn8vJNZ1NvL6/3S6Z7Q14Z6WwOxSFlU2hWZmAtfvYcL5EoqziULAztxRFaThXl0cDOBQFRVHosHpO1bKjCurBld0Lpf/CQNhvZybVVsr7DvnsLm4N865FXbN2njtdak1a1xxDEF3MLeQ2e+nc0N3MupYwl7WGubI9QouVOf/ARLJhp9BjNVms2JPQnKrZCwgH8o3B2tr1MZI3Fz1rZbFRj4sVTeazarxQ5snpg1nntfEUmLvM7UwXKFm9DevvJwGXk0taIwyEDr+IoygKL+5ssvt11rKk6r9+fXczV3VEeWN/O2+Z38EV7WYmyhVWr8eZkpmdP1ff0vrSvfrf21QXMFpobW5RszgcoCfgZVHYP+eCzeHUZ1mcrtK90yHicdn33g6fe9Z9+WKrTHLZHGOf+qzfuXrQdfg9LIoEaPIcXHxq8rq5oj3KOxZ28fYFXQ0BdEVR7GOpBSIvbg3jcjgIup2sq/UZq8u8OZzxQtluIXLPWIKyppMsV0lVzGdLf9BHq9dt74w8VazYgdce63UpitKwSHhFe9R+HYqiNIyNlkYCDQs1h2rzebiiPcq61jDtPo+dcbckEuDN8ztY3x5lXsCLUzGDqXuzRe4Zj9ubDcyUqiQrZmb6onCAkNvF9d3N9nhyRTQ4a1x/bWcTv7egk5fNa2FdS5j+oJmduKLuGdFhlcHXLKprlVCbp9Qat9fmTZe2RrioOcQb+tu5sbeVgZDPvlc8OJkkbfVcvbG3zU6k2JEy55e1sXftuuv0e6z5jZmNWdV1UuUqI7kSmxNZHphIcNPQFD8enOCW4WkenEjw9EyaXx+YbgjkD2aLDZsvVDTdbl8xWazw9GE2RBq0gqOnqjxcscYl4tQ7P8L8F5i5TuZ5Aa+d/fDLoSn7331OByuiQZY3BexsCU03s5421G1x3hv0sao5yPOJHM/FMyhWkMdlTQ5yVZUDebOhcW3C0mWVZQAsiwZ4aibD5mSWotVvYH2HuRr7snkt/G40bqeEt3hdvLKnbVYKokNRuKG7mbvG4kyXqg0NiC9vizA2PGOvxNd2X+kNenEoCgMhMzNpV7pAqmKmiC6NBBpWolwOc/vqByaTjORL5FUNr1WrDeYAaSDsZ1+2yMOTKavsSJkzKyXicXHDvBamimaz9UNXZMJuF6tbQmxK5FgWCXBlR9Tu6VMv4HJyZXuUR6y06FXNB8uJwm6XnQF373gczTBXiQ7NnKm9d9d1NnPbyAwua4Wi3iWt5kqXahhc3RGdFdQ8Fkuj1upGVTU/z9qAoCXM2paD9eS6YbA1lefRqRRRt4vHrX47FzUFWd4U5OYDM0wWK+xKF1gWDbAjXTBLCw3zQV8LsHb4PfRbmWS1rIrl0cbJ9eVtUZq9bpo9Ljqsh/hcHIrZOHo8X2Yg7LPfY4diZo0EXU42xLNMFitMFhO4HWbZU0/Aa6/w9wW9drYYmCtVtQbLp1LY7eKK9gipsmpv+X6q9QZ8dsNYs9fLwYBGq9fNqqYgB/IlXtR14iU+YbeLy9oiFFTtlO4wdD5YFjWzHHOqxhPWZG1F08F+EFdY2YsZ61xa1xKaFTg6FZQjZIpd09lEWzrPokig4bqp7/URcc8d8Jsr0Lk0GiBertgNUY+UzdfqdfPqnlZSFZWIx3XMA7QWr9kbsNbkts8qu65ZGPazzeqxtbRuUN3u8zBiraBfBHa5brvPfUJZJueqK9ojTBUrpKsqq+vuyfXO5/5ZL1SKojA/5Gd+3Xy2P+jj1uEZYuUqT82kudoqMT9WtWzzZo+LZEVlazJnZxjBwZ3mWr1u+7lXv4simPf4PusZXcuGqfXRi3pcdFm9zmptEhZF/Cf0PPG5nLymt41YqTorgA3mPevQsYFDUbioOcSCsJ+HJpNMFivcP5FkXUuVdS0HS+Jr2aLBQ4L69WPHQxdVnA6FV/S0HvfraLPGKsmKOufrOJfVegMummNM0ux1886FXXP+XG/Qx3PxLF6n47jHAWZ57+x/X2xl2oAZPKz/fFY2h9iTKZqlYzPpWZkx9erbk6SrKvdPJGizxnS9gYPZ3fMCZqbfaL50MChVF1ztC5rVCi5FmfUaW7xuru1sIlfVGsbJx8vlMDMnVzQFUXWD6VKFhyeTpCoqT0yneVFnk50ltSDkt4+9y+/l5fNamClX7R2DD1XrQXakQOllVrWCphsNrRJavebO0ImKyp3WbsZtXrf9/FUUhU6rVUXW6iW82xpbvNTqudpUd694aibDqNWDrPa5KlZ24v0TZibwoRs31avPCgNzvnl1RxPPxjJMFitsT+XsQOHOdJ6KVSZZ0nR2WFmb9WOHdEW1e+EtPEVBKXH6XDijufOcYvVUecjagrKmZO1GsTmZY1HYT1HTmCgc3M50cdhvB1QuagqxI10gU9V4eDIFmCVAPqcDn9NDb8DLaKFsN2mrnzAvCgd4NpaxG2AuCPntm3Obz8N1XWaD5haPm1f0tB627tXlMEt3pooVOv1eexLX5HWzLGpOlGqlIcuslXAwJ0SD2aL9NZei2LXe9ZwOM/D1yGSKfbkil7U1bp25sinIvmzRTtte0RQ8YsPIzjn6AtVc0hrhoqbQUWt8F4X9zJTMJt4rDpmYLosGGLPS1hU4Yg1yxOPiLQOddrlKvYDLyY29bZQ07YQCUmBOZpZapUhTJTPj6uqOqJ2KXHNJW4RJawvg20ZiqIZZgllbzbq0LcxTMxkrrbbAtLV9bqfPw3WHlHJd1hZhJG+mzvqcjlkDOZdDmTUYPZygyzlnhoCZYRE2J7TWA7PWYLI+uKdY2WJPW6Wp9Q0MT7WVhxk8nCqdfo/9IJ6r18vl7VEuP8Yy4COZqyHjC0Ftd6Hn4lm7V0b9edpSdz9bGgnMCiKfCV6n47AZLOtawhRVnUWR4xuEXdEeRTPMxqzdh9k8oEZRlDmDW0ezOOInPmPeM5YcMkFyKAqv7WvHwMBVF3yp9QOsbdU9ZO0mtuACKN2r53Y4eHVvKzOl6qwsKXFhCbldXNfVzD3jCXZlCrQfks1wJAX14O6U13WZmzoM50vcYy1+1fdKVBSFBSG/vZum16E0ZFtc1By0S+ubrcllzbJowNxZzfrvYz2+w73eEwkgB1xmmeDTsQw7UnmeT+RIlFWu7zZ3fDy4817jOK/D58GBOX49mabZ9RTFbJuQraqHHTeeq7xOBxe3Hv8mNy1eNy+fZ+4aO9fC7IkIWW0NDuRKXNEWaQh0OhWFazqj3DEaZ2+2SH/INyujHWCqWGayWMGBWcb2oBW4tDNowwfHmr1BH4NZs7l6VTdwOxT7mQK1+dfh35uTOe/n4nKYwa+XdDdz52icQat5fq0kfdkhY+Keup5cJ8rncvJGq1VC/XWoKApLokGemjE3xTHnBXMvZobd/3979x4U1X3+D/x99souy+4CyzXKzQsoIlEjBP3FGKVeao3GxhjjOGoaUw3amKgTbVNNMtNorc00Mal20qnEjqNWv2q+daqpVdFqEQNKETVE/YKYBEREkPtl9/P7Y9kTVxZEDbsLvF8zOyN7zu75LD4ezz7n83keFZKDTPJyzLtnlD1hMeLA9XL5XGLWqORzEGBPwgdo1ahovSGlVkgwqJTw16gRoFUhQKuGXmVPnlc1t6C6qUVOMDmW3JbWV6Cgyt58QSl930lypMWImmYrzlVUI/NmJcwalTwb0FGqJlyv7fSyQfIcJqW8SKRBh7n97IX+bAIQELhe24Dzt2tR0bpG20GnVCDKoMMTlu/vGGmUCjweYEDWTXuNIKUkYcg9LZwdxf6UkuSUINC2vt/V6nqoFRKSgpxP0JEGHV6M1kKjuP+0RZVC4fIE+niAH65W16O5tX393dnsEB/7dHJHW/LBHSSTHO01n7Sa2iRvgnzs00RvNjRDrZAe+Ut1Z4rO2ZfxmV1u6+vrI3e7ivf3vW/3nY46zQT6qAE82sXVILNv6x1WCc+E+qOvi7t9SsleSPF/r9+Ukzujgs3yl8RBJl8UVTfgRkMTyhqaW+txGRFn0reJDZNGJX95jzP5/mAXNa4YWv/DdKyD1ygULpcPnauoRrNNuLzQ6S4cM8carLYurfXSmw0y22szNdkEBhj1bf5tJgfZE7oBDzBTyF10KiXGhQc88OscBbW7UoyfHnkVNXLdjTZjUEgAnH+fFh81JNhnRdxsaJJneUZ143/D7dGplIgw8OK5N+jj64PHW+uEZZZVIkyn7bC5hkNBVZ19OXxrwiU5yITv6hrlTqd310oE7EtDHbMT+hudl2iF+Gjkmjrx/s4zQSJ8ddAq7qDRZmst8+CZ2l+OGdGBWjUyyypRXNuA/6uuR3+jXl6+Z7jnetGoUWFGVDC0P/DMQl+1sk0CrKfrioLuT4X4I8lic/m7DNFpkeBvwPnbNThVVoVgH02bhIKjS3J/ox59fH0wLiwA//z2FgTs/4/dPWsoXK+VuzECQJhO2+VNIjojVKfFCIuxtRO1feaYv0bVJTP4AbT7naqfnw7Z5VWwCvt3r8D7HN/V7y7Ix74KpKjm+8YC9xYJ/3GfQFQ3W+GrUrb73aq9G12P6bXyjK6vqmqhkiQ0WG0wqOw16iTYm6E4kvN99D4I1Wtw1TEJ4wFv0JFncB64l3GsQVYpJHsROj89nu1rwaTHAhFr1GNEoB+ejQjCrOgQPBlscrqbDACxRl/5P+dYk97pRB6s08h3vyN9fdp0unHUNRodbHZ58tIqFY/05UunUsozCvr56Z2KN0uShNjWuxFahaJTyaT2TmrDAvygkiSMCDR2qp1wV1JIEsaE+iPB3yB3ofEkP7W909FzkUEuE1IORo19yqwEe22Xu6c0S61fXE0aFSJ8ffBcZJC9NkU7sZEcZMKkxwI7XIv/Q9IqFRjib3BKejpolPbOiClBpvvOBPF2AVp1r1tW505qhb0bX4Svj8vYVUgSArVqr0tIeTsfpb1r6NQIS6e/GKgVCvhr7ffQHHUjQnw0ve7LIfU8jwcYYNHa6624qpl0L5sQ+PquYsiAfebJ3Uty7r3hEqBRwaK1N824dxaGJEkY11rzqv89y1tUiu+7Q7e3dMidBtw1KzW3otqp8969y/cA+/VOT+ro2JOoFFKH5+9hAX7w16jQaLW1qWFa3mCvDSXh+9nc4XotRrdes/bz0zktc/ZRKuRlfcD39aS8wRCzr1N921hT+9fSXUWrVCA5yIR+fjoMc7FCpbNGBBqhgD2xEONimahaoUCAVv1QHeYk6ftanxcra5HfWktqaIBBrj05JtQsdxr8v5p6/KesCjWtnUEjulENuN5MEo/Sd5O8kqMDROJdxXsdqptbcP52DYb6GzxSi0MIgfLGZvhr1G0KKrbYBP5bUY1wvVbulEKe1WS1twHmF28i8qTMskq53hVgT3YP7oI6XkTuduF2Dc6U30GoToPJrZ2dHFpsAneaW2BSq6BUSCiqrsex0tvwUSrwQnSIPPvYJoRc2/LeZfQAWpvniAdO5Aoh0Nhat8UbNNts2F1UhkarDf8vxIyLlfaVBKnhAd2q+DjdX0VjM/5+/SZswr5EK86kh0qhwNGSClyraUCMnw5P31NzqqHFCo1S0eaGx7lb1XJTkuejXDdo8ZQmqw0Hvy1Ho1VgekRQt06k3mxogk2ILlneahMC/1NUJi/Z1asUeD4ypHV2tZ1VCJTVN6G0dXnnrcZmxJt9H2rpKrkfk1JERETk1a7cqZO/dEsAXogO6bBeIFF3Ud3cgj1FZZAAvBgT4jSLPKOkAoU1DVC2drGqbbGiqqkFQ/0NGGHpnV+0zt+uQXb5HRhUSjTZbGiy2b/MP0yNO/Ju+bdr8GVrHVAJ9pIQjq6TD/J3XtHYjP8tvgl/rQrTIoK7argPzdb6VdwblhV6s4uVtchqbbyQZDG6rKlK3Vf3TccSERFRr3B3YdoQnYYJKeox/NQqBGhUEACu1zbKz1c3t8ida61C4Lu6RlQ1tUBC22LIvUmcyV7jr6bFKtfRcrV8j7q/eLMvBpt9oVMqIAA5IRXh6/NAScgArRpT+wbhR+EP3nXRHRStpVuoYwONOviplTCqlS5LdFD35j3zF4mIiIhc8FMr5Y6TPa3rHlGEwQcVFTUormmQu3193bpcNUynQXKQCSX1ja2djTWdKojeU6lb6446ZtBoFFK3XvJE7ZMkCclBJiQHmVDXYsWthmZUt7Qgxu/B/w+4XwFv8n4qhQLPRdpnunVl4yTyDCaliIiIyKs52k5/V9eIfuykQz1MhK8OuRU1+LauES02GyRIcsflOLMv/LVq+GvVGGz27Di9RZxJj/zbNai32jhLqpfQq5TQszNpr8dkVM/FWwtERETk9QYY9Xg61N+psxJRTxCgVcFXpYRVCHxb14hrtfVosNqgVyrYOcoFlUKBoa1dUVlLioio++NMKSIiIiIiD5EkCREGH1yqrMX12gbcabJ3mIo1+bLWTDsGmXzhp1bBwqQUEVG3x9uNREREREQe5JgRVVjdgBsNTZAAFvPtgCRJ6OvrAx2X7xERdXtMShEREREReVCoTgONQkJLa3v4SIMPu0wSEVGvwKQUEREREZEHKVpn/jjEmXw9OBoiIiL3YVKKiIiIiMjDogz2zpJmjQqhOo2HR0NEROQekhCt84SJiIiIiMgjhBAorm1AgFYNPzV7ERERUe/glUkpIQSqq6s9PQwiIiIiIiIiInpIfn5+kDroJuuVt2Gqq6thMpk8PQwiIiIiIiIiInpIVVVVMBqN7W7nTCk3uHPnDvr27Yvr1693+JdB5M0Yx9RTMJapJ2AcU0/AOKaegrFMPUFXxXG3nCklSVKP/MdsNBp75Oei3oVxTD0FY5l6AsYx9QSMY+opGMvUE7g7jtl9j4iIiIiIiIiI3I5JKSIiIiIiIiIicjsmpdxAq9Vi7dq10Gq1nh4K0UNjHFNPwVimnoBxTD0B45h6CsYy9QSeimOvLHROREREREREREQ9G2dKERERERERERGR2zEpRUREREREREREbsekFBERERERERERuR2TUkRERERERERE5HZMSnWxTz75BFFRUfDx8UFycjLOnDnj6SERdeidd96BJElOj7i4OHl7Q0MD0tLSEBgYCIPBgJ/+9Ke4ceOGB0dMBJw4cQJTp05FeHg4JEnC/v37nbYLIbBmzRqEhYVBp9MhNTUVly9fdtqnoqICc+bMgdFohNlsxs9+9jPU1NS48VNQb3e/OJ4/f36b8/OkSZOc9mEck6etW7cOI0eOhJ+fH4KDgzF9+nQUFBQ47dOZa4ni4mJMmTIFer0ewcHBWLlyJVpaWtz5UaiX60wsjx07ts15edGiRU77MJbJkzZv3oyhQ4fCaDTCaDQiJSUFBw8elLd7w/mYSakutGvXLrz55ptYu3Ytzp49i8TEREycOBFlZWWeHhpRh+Lj41FSUiI/Tp48KW9744038Pe//x27d+/G8ePH8d1332HGjBkeHC0RUFtbi8TERHzyyScut2/YsAEfffQRtmzZgqysLPj6+mLixIloaGiQ95kzZw4uXLiAw4cP48CBAzhx4gReffVVd30EovvGMQBMmjTJ6fy8Y8cOp+2MY/K048ePIy0tDadPn8bhw4fR3NyMCRMmoLa2Vt7nftcSVqsVU6ZMQVNTE/7zn//gs88+Q3p6OtasWeOJj0S9VGdiGQAWLlzodF7esGGDvI2xTJ7Wp08frF+/Hjk5OcjOzsa4ceMwbdo0XLhwAYCXnI8FdZmkpCSRlpYm/2y1WkV4eLhYt26dB0dF1LG1a9eKxMREl9sqKyuFWq0Wu3fvlp+7dOmSACAyMzPdNEKijgEQ+/btk3+22WwiNDRU/O53v5Ofq6ysFFqtVuzYsUMIIcTFixcFAPHll1/K+xw8eFBIkiS+/fZbt42dyOHeOBZCiHnz5olp06a1+xrGMXmjsrIyAUAcP35cCNG5a4l//OMfQqFQiNLSUnmfzZs3C6PRKBobG937AYha3RvLQgjx9NNPi9dff73d1zCWyRv5+/uLP//5z15zPuZMqS7S1NSEnJwcpKamys8pFAqkpqYiMzPTgyMjur/Lly8jPDwcMTExmDNnDoqLiwEAOTk5aG5udorruLg4REREMK7JaxUWFqK0tNQpbk0mE5KTk+W4zczMhNlsxhNPPCHvk5qaCoVCgaysLLePmag9GRkZCA4ORmxsLBYvXoxbt27J2xjH5I2qqqoAAAEBAQA6dy2RmZmJhIQEhISEyPtMnDgRd+7cke/uE7nbvbHssH37dlgsFgwZMgSrV69GXV2dvI2xTN7EarVi586dqK2tRUpKitecj1U/yLtQG+Xl5bBarU5/eQAQEhKCr776ykOjIrq/5ORkpKenIzY2FiUlJXj33Xfx1FNPIT8/H6WlpdBoNDCbzU6vCQkJQWlpqWcGTHQfjth0dT52bCstLUVwcLDTdpVKhYCAAMY2eY1JkyZhxowZiI6OxtWrV/HLX/4SkydPRmZmJpRKJeOYvI7NZsOyZcswevRoDBkyBAA6dS1RWlrq8pzt2Ebkbq5iGQBeeuklREZGIjw8HHl5eXjrrbdQUFCAvXv3AmAsk3c4f/48UlJS0NDQAIPBgH379mHw4MHIzc31ivMxk1JE5GTy5Mnyn4cOHYrk5GRERkbib3/7G3Q6nQdHRkTUu7344ovynxMSEjB06FD069cPGRkZGD9+vAdHRuRaWloa8vPznWpTEnVH7cXy3TX7EhISEBYWhvHjx+Pq1avo16+fu4dJ5FJsbCxyc3NRVVWFPXv2YN68eTh+/LinhyXj8r0uYrFYoFQq21Suv3HjBkJDQz00KqIHZzabMXDgQFy5cgWhoaFoampCZWWl0z6Ma/Jmjtjs6HwcGhrapglFS0sLKioqGNvktWJiYmCxWHDlyhUAjGPyLkuWLMGBAwdw7Ngx9OnTR36+M9cSoaGhLs/Zjm1E7tReLLuSnJwMAE7nZcYyeZpGo0H//v0xYsQIrFu3DomJifjwww+95nzMpFQX0Wg0GDFiBI4cOSI/Z7PZcOTIEaSkpHhwZEQPpqamBlevXkVYWBhGjBgBtVrtFNcFBQUoLi5mXJPXio6ORmhoqFPc3rlzB1lZWXLcpqSkoLKyEjk5OfI+R48ehc1mky8wibzNN998g1u3biEsLAwA45i8gxACS5Yswb59+3D06FFER0c7be/MtURKSgrOnz/vlGQ9fPgwjEYjBg8e7J4PQr3e/WLZldzcXABwOi8zlsnb2Gw2NDY2es/5+Acpl04u7dy5U2i1WpGeni4uXrwoXn31VWE2m50q1xN5m+XLl4uMjAxRWFgoTp06JVJTU4XFYhFlZWVCCCEWLVokIiIixNGjR0V2drZISUkRKSkpHh419XbV1dXi3Llz4ty5cwKA+OCDD8S5c+fEtWvXhBBCrF+/XpjNZvH555+LvLw8MW3aNBEdHS3q6+vl95g0aZIYNmyYyMrKEidPnhQDBgwQs2fP9tRHol6ooziurq4WK1asEJmZmaKwsFD861//EsOHDxcDBgwQDQ0N8nswjsnTFi9eLEwmk8jIyBAlJSXyo66uTt7nftcSLS0tYsiQIWLChAkiNzdXHDp0SAQFBYnVq1d74iNRL3W/WL5y5Yp47733RHZ2tigsLBSff/65iImJEWPGjJHfg7FMnrZq1Spx/PhxUVhYKPLy8sSqVauEJEnin//8pxDCO87HTEp1sU2bNomIiAih0WhEUlKSOH36tKeHRNShWbNmibCwMKHRaMRjjz0mZs2aJa5cuSJvr6+vF6+99prw9/cXer1ePPfcc6KkpMSDIyYS4tixYwJAm8e8efOEEELYbDbx61//WoSEhAitVivGjx8vCgoKnN7j1q1bYvbs2cJgMAij0SgWLFggqqurPfBpqLfqKI7r6urEhAkTRFBQkFCr1SIyMlIsXLiwzY0uxjF5mqsYBiC2bt0q79OZa4mioiIxefJkodPphMViEcuXLxfNzc1u/jTUm90vlouLi8WYMWNEQECA0Gq1on///mLlypWiqqrK6X0Yy+RJL7/8soiMjBQajUYEBQWJ8ePHywkpIbzjfCwJIcQPM+eKiIiIiIiIiIioc1hTioiIiIiIiIiI3I5JKSIiIiIiIiIicjsmpYiIiIiIiIiIyO2YlCIiIiIiIiIiIrdjUoqIiIiIiIiIiNyOSSkiIiIiIiIiInI7JqWIiIiIiIiIiMjtmJQiIiIiIiIiIiK3Y1KKiIiIuoX58+dj+vTpnh7GQ5MkCfv37/fIsefOnYv333/frcdctWoVli5d6tZjEhERUfciCSGEpwdBREREvZskSR1uX7t2Ld544w0IIWA2m90zqB9YaWkp/P39odVqO7V/eno6li1bhsrKykc67n//+1+MGzcO165dQ3l5OaKjozvcf+vWrYiKisIzzzwjP2exWDBy5Ej89re/RUJCQqeOW15ejpiYGOTm5iImJuaRPgMRERH1TJwpRURERB5XUlIiP/7whz/AaDQ6PbdixQqYTKZum5ACgNDQ0E4npH5ImzZtwsyZM2EwGNC3b1+n3+vy5csRHx/v9NysWbPk1xYUFKCkpARffPEFGhsbMWXKFDQ1NXXquBaLBRMnTsTmzZu76qMRERFRN8ekFBEREXlcaGio/DCZTJAkyek5g8HQZvne2LFjsXTpUixbtgz+/v4ICQnBp59+itraWixYsAB+fn7o378/Dh486HSs/Px8TJ48GQaDASEhIZg7dy7Ky8vbHVt6ejrMZjP279+PAQMGwMfHBxMnTsT169ed9tu8eTP69esHjUaD2NhY/PWvf3XafvfyvaKiIkiShL179+KZZ56BXq9HYmIiMjMzAQAZGRlYsGABqqqqIEkSJEnCO++8AwD44x//KI8jJCQEzz//fLtjt1qt2LNnD6ZOnQoAUCqVbX6vKpXK6TmdTie/Pjg4GKGhoRg+fDiWLVuG69ev46uvvpK379mzBwkJCdDpdAgMDERqaipqa2vl7VOnTsXOnTvbHR8RERH1bkxKERERUbf12WefwWKx4MyZM1i6dCkWL16MmTNnYtSoUTh79iwmTJiAuXPnoq6uDgBQWVmJcePGYdiwYcjOzsahQ4dw48YNvPDCCx0ep66uDr/5zW+wbds2nDp1CpWVlXjxxRfl7fv27cPrr7+O5cuXIz8/Hz//+c+xYMECHDt2rMP3/dWvfoUVK1YgNzcXAwcOxOzZs9HS0oJRo0a1mTG2YsUKZGdn4xe/+AXee+89FBQU4NChQxgzZky775+Xl4eqqio88cQTD/BbbauqqkpOLmk0GgD22W2zZ8/Gyy+/jEuXLiEjIwMzZszA3ZUhkpKS8M0336CoqOiRjk9EREQ9k8rTAyAiIiJ6WImJiXj77bcBAKtXr8b69ethsViwcOFCAMCaNWuwefNm5OXl4cknn8THH3+MYcOGORX9/stf/oK+ffvi66+/xsCBA10ep7m5GR9//DGSk5MB2JNhgwYNwpkzZ5CUlISNGzdi/vz5eO211wAAb775Jk6fPo2NGzc61Wa614oVKzBlyhQAwLvvvov4+HhcuXIFcXFxTjPGHIqLi+Hr64uf/OQn8PPzQ2RkJIYNG9bu+1+7dg1KpRLBwcGd+XW20adPHwCQZz89++yziIuLA2BPSrW0tGDGjBmIjIwEgDb1psLDw+VxREVFPdQYiIiIqOfiTCkiIiLqtoYOHSr/WalUIjAw0CkxEhISAgAoKysDYC/6fezYMRgMBvnhSLJcvXq13eOoVCqMHDlS/jkuLg5msxmXLl0CAFy6dAmjR492es3o0aPl7Z0Zf1hYmNNYXfnRj36EyMhIxMTEYO7cudi+fbs8C8yV+vp6aLXa+xaSb8+///1v5OTkID09HQMHDsSWLVvkbYmJiRg/fjwSEhIwc+ZMfPrpp7h9+7bT6x1LATsaIxEREfVeTEoRERFRt6VWq51+liTJ6TlHMsZmswEAampqMHXqVOTm5jo9Ll++3OEyuK7S0Vhd8fPzw9mzZ7Fjxw6EhYVhzZo1SExMbLdDn8ViQV1dXaeLk98rOjoasbGxmDdvHl555RWnIuhKpRKHDx/GwYMHMXjwYGzatAmxsbEoLCyU96moqAAABAUFPdTxiYiIqGdjUoqIiIh6jeHDh+PChQuIiopC//79nR6+vr7tvq6lpQXZ2dnyzwUFBaisrMSgQYMAAIMGDcKpU6ecXnPq1CkMHjz4oceq0WhgtVrbPK9SqZCamooNGzYgLy8PRUVFOHr0qMv3ePzxxwEAFy9efOhxOKSlpSE/Px/79u2Tn5MkCaNHj8a7776Lc+fOQaPROG3Pz8+HWq1GfHz8Ix+fiIiIeh4mpYiIiKjXSEtLQ0VFBWbPno0vv/wSV69exRdffIEFCxa4TAA5qNVqLF26FFlZWcjJycH8+fPx5JNPIikpCQCwcuVKpKenY/Pmzbh8+TI++OAD7N27FytWrHjosUZFRaGmpgZHjhxBeXk56urqcODAAXz00UfIzc3FtWvXsG3bNthsNsTGxrp8j6CgIAwfPhwnT5586HE46PV6LFy4EGvXroUQAllZWXj//feRnZ2N4uJi7N27Fzdv3pQTdYB9+d9TTz3l1NGPiIiIyIFJKSIiIuo1wsPDcerUKVitVkyYMAEJCQlYtmwZzGYzFIr2L4v0ej3eeustvPTSSxg9ejQMBgN27dolb58+fTo+/PBDbNy4EfHx8fjTn/6ErVu3YuzYsQ891lGjRmHRokWYNWsWgoKCsGHDBpjNZuzduxfjxo3DoEGDsGXLFuzYsaPDmUivvPIKtm/f/tDjuNuSJUtw6dIl7N69G0ajESdOnMCPf/xjDBw4EG+//TZ+//vfY/LkyfL+O3fulIvOExEREd1LEnf37SUiIiIiJ+np6Vi2bFm7dZu8XX19PWJjY7Fr1y6kpKS47bgHDx7E8uXLkZeXB5WKDZ+JiIioLc6UIiIiIurBdDodtm3bhvLycrcet7a2Flu3bmVCioiIiNrFqwQiIiKiHu5RlhE+rOeff97txyQiIqLuhcv3iIiIiIiIiIjI7bh8j4iIiIiIiIiI3I5JKSIiIiIiIiIicjsmpYiIiIiIiIiIyO2YlCIiIiIiIiIiIrdjUoqIiIiIiIiIiNyOSSkiIiIiIiIiInI7JqWIiIiIiIiIiMjtmJQiIiIiIiIiIiK3+//FPL+oRS8fVQAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Load the design matrix\n", "xmat = np.loadtxt('./afni_pro_glm/sub_08.results/X.xmat.1D')\n", "\n", "# Set up number of regressors and colors\n", "n_regressors = xmat.shape[1]\n", "colors = matplotlib.colormaps.get_cmap('tab20').resampled(n_regressors)\n", "\n", "# Plot each regressor in its own row with a distinct color\n", "fig, axes = plt.subplots(nrows=n_regressors, ncols=1, figsize=(12, n_regressors * 0.8), sharex=True)\n", "\n", "for i in range(n_regressors):\n", " ax = axes[i]\n", " ax.plot(xmat[:, i], color=colors(i))\n", " ax.set_yticks([])\n", " ax.set_ylabel(f'{i+1}', rotation=0, fontsize=8, labelpad=15)\n", " ax.spines['top'].set_visible(False)\n", " ax.spines['right'].set_visible(False)\n", " ax.spines['left'].set_visible(False)\n", "\n", "axes[-1].set_xlabel('Time points (TRs)', fontsize=10)\n", "plt.suptitle('AFNI Design Matrix: X.xmat.1D', fontsize=14)\n", "plt.tight_layout(rect=[0, 0, 1, 0.96])\n", "plt.show()\n" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### Quality Check\n", "AFNI automatically generates a quality control directory named ```QC_sub_08```, which contains images and summary metrics for each preprocessing and GLM step such as motion estimates, outlier fractions and EPI-to-anatomical alignment. These quality control plots are stored in the ```media/``` subfolder and can be displayed within the notebook to visually inspect the success of each step.\n", "\n", "The ```show_qc_image()``` function can be used to display quality control images directly within the notebook. It takes the image filename and an optional title to present relevant QC plots inline." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "def show_qc_image(filename, title=None):\n", " from IPython.display import Image, display\n", " if title:\n", " print(f'\\n📊 {title}')\n", " display(Image(filename=filename))" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "📊 EPI to Anatomical Alignment\n" ] }, { "data": { "image/jpeg": "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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "show_qc_image('./afni_pro_glm/sub_08.results/QC_sub_08/media/qc_01_ve2a_epi2anat.cor.jpg', 'EPI to Anatomical Alignment')\n" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "📊 Anatomical to MNI template Alignment\n" ] }, { "data": { "image/jpeg": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQoKCgoKBggLDAsKDAkKCgr/2wBDAQICAgICAgUDAwUKBwYHCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgr/wAARCAC2BgIDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD4T0//AIJxaf8AAH4E/Dfxzof7NNh8f/H3xB8JWniHWIvEXii40zwdoMep2tveaT4Ys/sV9p99q3i+a1kiu/7OjuPMNvexrb2F7vW7j800P9gP4YfE39vb41/B74Hal481f4T/AAQ0Hxb4u8RXvifS4NB8RHQ9CgkkktZYbkFra5muhBp6zNbGWM3K3Utgnly2ib37VZ/ZO/bU0j4PfEzw5/wUQ0Hwff8Ah/4DeFvB/ijwX8XNN8UzzaHqmj2h0+aPTf7J0W9to9OmWCO8RROXaa8uHdIncxrva9/wUJ8D2X/BTfxv4r8OftG69rnw2+J/wltvgx8Q/iv4n8PSm+1jSZPDFjoF54mltJDcXbYvLOPWFtw63U6wLA7xNNIB85TnmPJJpycnGTd4ySTutF0btfl5befNutnyXPNPh98DfhB+3X8N/irP+zP+zhf+BvFPwa+Gl143Vbbx0dQtdd8Oafe2dvd/bo75UP8AaywXsl5LeWssFrKth5EGlQvMHFD4m6l8Bv8Ah234A8c6D+x74D0jxn4k8eeIvCupeOLHWvEj33k6NYeGLqO7SCfVpLJbm4fVLtZ/9GMO1l8mKAqGrrfg94z+C37BH7P/AMddd+GP7evhLxz4++Kfw0Hw50DQPh74L1x44tN1DUbS41e7vbnXdMsY4I/sVjJaIsCTzNJqKuvk+T5lUP8AhX37Mvj39hP4ZfBq8/4KLfCXQPEmi+PPE3irWdN1nw740b7FDq+l+G4IbRpLXw9NG9zDJpN0svls8IzGY5ZQxK9CnUVZP3+RT00qXtyNu/Vx5rWvpe6J0t5/I+SqK9a/as8Ifs3+ArX4c+E/2fvipoPja/tPAcn/AAsbxP4Yt9Zisb3XG1vVXTyk1e1tZhs0xtLjbZAkRaNiNz73byWvXp1FVhzJNeqs/u8yGrBRRRWggooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqOP/j4k/D+VSV6P+yT+0pP+yZ8Z1+NOmfB3wl4y1OxsJodGh8XvqaR6VdSKFXUbV9NvbSaG9hG4wTiTdBIwni2TxQyxxUlOMG4q76La4Lc+m/2gP+CcHwg/Zy/4JDf8NL65rV/qnxiH7RGk+DPFluSYbPwvG/hebV59HWLdve9ie6tYb43CRyW95ZTWiRqIJJ7vzRvAP7N/7J/7N/wn+PPjLwloPxh8Z/GHQdU1Vvh94ui1nTtL8H6XZ6ze6XHctNpd7ay6jc3c1hMYyLiJLVLe4WW3nNxbzw/UviT9uH/gn7of/BGWP4AaZ8OP2d9Z8cP8abXx23wa02H4oLp8cEujR2Ejm8uLuJ/7Whd2SRBfmwMETtF5sxQv88Nr37G/7Wn7EHwn+GHiz436D8G/ix8GP7U0C81bxvp2vahpfjXw7f6le6tbSQyaRZ3jWVzY3V3dxNBJbATpepILlvL8iPwMNWxk6b9sqlvaO7tZuPK7WSvJR5rfD97XMatRvpbY63wp+yb+xjpH/BRT9kvQPhzZX/xD+Ef7Qth4VvdU8J+OL67jutHk1HV7nQdU0177Txp8l1JaXtpdvFdRxW8bskWY5ogTP4r/AMFNtB+E/gL9uz4o/Br4JfBDQfAfhv4fePNb8K6Zpug6jql19thsdUuoI7u4k1K8upDcvGsav5bRwnywViQli30RqH7Qf7CHh7/gop+xk/wn+MFhpfw4/Z68JeDLf4gePLnSdak03UNYsdXu/EGs3FjC9s+oyRz3d5PFEJLWECZ8bIbdVlB4w+G3/BM/46/8FS/FH7T3x8/4KXfDSX4O+LPjTq3izW9A03wX46k1i90e41Ke9XTzGuiW6RSTIyW8kkd0DCJHkQymNVco161GuqlVVHFQelpP7TtdJW5+W2+oNJqytufn/RRRX0RkFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEd1/wAe7fh/OvrnRvDn7G8viHwF8Dv2T/2R9e/aJ8SeNvAel3fjUx+Itek1zS9WOniXVbLQ7OxsLKO0ubaRb1hLcx67atFFaS4wl1BJ8jXX/Hu34fzr7X+IPi/9jfxz8GdB/Zy/Zi/bZ/4U9pV/4D8NXPxW0XXvAmvW/h3xXr0em2UuoPealYT6lqGqXMOpBzb2sum22m2wiuZLVkkkaa/4Mc3eKXN125rdN+XX0Wiet2i4h4k/4Jm+Eb39v/4m/s/+BLLXh4M+CvwluPH3xS07/hOdJ1TVNH/s3w7bX2r6J/aVtClrLcpq8raP9ohtpfId/Oe2lEEqHkvh98DfhB+3X8N/irP+zP8As4X/AIG8U/Br4aXXjdVtvHR1C113w5p97Z2939ujvlQ/2ssF7JeS3lrLBayrYeRBpULzBxf+AXxr+CH7GX7ZGufDv4NftFf2p8J/ib8Jf+FbfEv4gJotzNDHb65oNtBrN/Bb3FhBeSW1hq7vdwwrDBcXEOnRwGQec8jX/g94z+C37BH7P/x1134Y/t6+EvHPj74p/DQfDnQNA+HvgvXHji03UNRtLjV7u9udd0yxjgj+xWMloiwJPM0moq6+T5PmVwOWMjGNm27U+V2mlq/e51rbzvsvO5Xu/mcl8TdS+A3/AA7b8AeOdB/Y98B6R4z8SePPEXhXUvHFjrXiR77ydGsPDF1HdpBPq0lktzcPql2s/wDoxh2svkxQFQ1fNFfWv/Cvv2ZfHv7Cfwy+DV5/wUW+EugeJNF8eeJvFWs6brPh3xo32KHV9L8NwQ2jSWvh6aN7mGTSbpZfLZ4RmMxyyhiV8k/as8Ifs3+ArX4c+E/2fvipoPja/tPAcn/CxvE/hi31mKxvdcbW9VdPKTV7W1mGzTG0uNtkCRFo2I3Pvdu3CVVH3GpXcpbqWiu7ay6WStYmS6nktFFFeiQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHsv7Ff7PXwg+OF98T/Gvx4+KF/4a8LfCr4aS+MtQt9K04zXXiGRNS07T7fRYZgsgsJLufUYoVvXhuI7dmEkkMiK2PQbXwT+yR+1d+yR8ZPjd4Y+HVh8Ifib8IbDQ9X03wb4NvdWv9B8VaDdatDpd5Iy6rPd3Fne29zqNgxm+3NFNE6RpZoyTXJ53/gm98Zf2aPh18RviD8J/2vbC/h8A/GL4aXXgjVPFWmxTXEnhC6lvrHULDXTaQPHJfx2l7p1rLJapIjSRh8CXHkS+geFZv2J/2Wv2EP2hfBD/ALTPhL4pfFP4q2Hhjw74Ck+Huk+JYY9G0231qLVtVe9Osadp8IjkOnaeqGMTzeYqgLHG0r14+JnWWIa9+/NDlsny8raUr20/m5ubVLWPQ0Vrfedb+3b4D/ZO8I/8Esf2af2j/hX+xF4D8I+M/jx/wmX/AAkes6R4j8U3H9kf2Jrlva2/2CG+1m4iXzYWdJvtCXGd5MflEKR8HV+h/wC1BefsXfGv/gnT+y3+yL4V/wCCmPwlt/EnwR/4Tf8A4Su+1Dwp44Sxu/7Y1eK9tfsjp4caSTbHGRJ5kceGIC7x81fLP7Z/gf8AZI+HE/w18H/sn/Guw+Iklr8NIH+Jfi3StF1bT7W68TSanqMs0UMOqRxS+XDZvYW6yJHGkqwCUxxySSoDK60o0/ZzU+ZzqfEp6R55custly2sr/LcJrW/oeLUUUV7BmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUd1/x7t+H86kqO6/492/D+dAH1zo3hz9jeXxD4C+B37J/wCyPr37RPiTxt4D0u78amPxFr0muaXqx08S6rZaHZ2NhZR2lzbSLesJbmPXbVoorSXGEuoJN7xJ/wAEzfCN7+3/APE39n/wJZa8PBnwV+Etx4++KWnf8JzpOqapo/8AZvh22vtX0T+0raFLWW5TV5W0f7RDbS+Q7+c9tKIJUJ8QfF/7G/jn4M6D+zl+zF+2z/wp7Sr/AMB+Grn4raLr3gTXrfw74r16PTbKXUHvNSsJ9S1DVLmHUg5t7WXTbbTbYRXMlqySSNNf4PwC+NfwQ/Yy/bI1z4d/Br9or+1PhP8AE34S/wDCtviX8QE0W5mhjt9c0G2g1m/gt7iwgvJLaw1d3u4YVhguLiHTo4DIPOeRvATxPLKVJyvyvSSm+q1v8Kla9oxXne2hr7t9Sh8Pvgb8IP26/hv8VZ/2Z/2cL/wN4p+DXw0uvG6rbeOjqFrrvhzT72zt7v7dHfKh/tZYL2S8lvLWWC1lWw8iDSoXmDj0v4JfBmT4t/sJ+BfjL+z5/wAEW9B+L/iQePPEHhXxlqWg2XxB1PbDp2l+Hp7S7uI9L1xI7e5uZNRv2fCxwv5IEUUYjYHkvg94z+C37BH7P/x1134Y/t6+EvHPj74p/DQfDnQNA+HvgvXHji03UNRtLjV7u9udd0yxjgj+xWMloiwJPM0moq6+T5PmVyXxN034Df8ADtvwB4G0H9sLwHq/jPw3488ReKtS8D2Oi+JEvvJ1mw8MWsdok8+kx2TXNu+l3bT/AOkiHaq+TLOWC05KvUqcsXJR50ldVL25Nb6p8t7Wbdk79g0S/wCGOt/by/Yr+EHwB/ZR8CfHPxN8N/FvwR+MXjTxbfrd/s/+L9UN9I/h9IgBr1rFLbxXui2Qv47qzgtNSe6ubiNRKlzMIZZZPjuvqb9v34g/s0ftVeGND/bf8PfGawtPjF4xsNJg+LPwrtfDM0TSa9EmoW+qeIVuINPtNPhjvBZ6Xem3iaeVrrWb3cyCAeZ8s16GXe2+rJVW+a7ve+nkm9Wl0ld33v0UTtzaBRRRXcSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFRx/8fEn4fyqSvR/2Sf2lJ/2TPjOvxp0z4O+EvGWp2NhNDo0Pi99TSPSrqRQq6javpt7aTQ3sI3GCcSboJGE8WyeKGWOKkpxg3FXfRbXBbn03+0B/wTg+EH7OX/BIb/hpfXNav9U+MQ/aI0nwZ4styTDZ+F438LzavPo6xbt73sT3VrDfG4SOS3vLKa0SNRBJPd+aN4B/Zv8A2T/2b/hP8efGXhLQfjD4z+MOg6pqrfD7xdFrOnaX4P0uz1m90uO5abS721l1G5u5rCYxkXESWqW9wstvObi3nh+pfEn7cP8AwT90P/gjLH8ANM+HH7O+s+OH+NNr47b4NabD8UF0+OCXRo7CRzeXF3E/9rQu7JIgvzYGCJ2i82YoX+eG179jf9rT9iD4T/DDxZ8b9B+DfxY+DH9qaBeat4307XtQ0vxr4dv9SvdWtpIZNIs7xrK5sbq7u4mgktgJ0vUkFy3l+RH4GGrYydN+2VS3tHd2s3HldrJXko81vh+9rmNWo30tsdb4U/ZN/Yx0j/gop+yXoHw5sr/4h/CP9oWw8K3uqeE/HF9dx3Wjyajq9zoOqaa99p40+S6ktL20u3iuo4reN2SLMc0QJn9a+Pv/AATx+Jk/7YvjX9mf4bf8G+ni2bwDB8S9S8P+EfG/gd/Gml6ld6fFqEkFheJrOs3eo6NDHKqwtLczWTwGF5WUwZSeLg9Q/aD/AGEPD3/BRT9jJ/hP8YLDS/hx+z14S8GW/wAQPHlzpOtSabqGsWOr3fiDWbixhe2fUZI57u8niiElrCBM+NkNuqyjrfhv+1x+xv4Y/wCCrnx70v4u/tS6D4l/Ze/aq/4S9viFrGjeG9el/sSG9ur+/wBIuVsbzTo2GtWd0tqYrgWt3Db/AGyQxuWLvHzVZZhzKcVN2g3ZqetpO1+VxXPy9N29Otyly7eZ8HftT+BPhh8Lf2nfiP8ADL4JeMv+Ej8GeHPHmsaX4R8Q/wBowXn9qaXb3s0VrdefbqsU/mQpG/mRqEfduUAECuDre+Jvh/wP4U8cX3hz4dfEL/hK9KsvKij8RJpMtlDfTCJPPkgimPm/ZvO8wQvMsU0kIjkkgtpHaCPBr6eldUo630Wr0fzMXuFFFFaCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI7r/AI92/D+dfoJp/wDwTi0/4A/An4b+OdD/AGabD4/+PviD4StPEOsReIvFFxpng7QY9Ttbe80nwxZ/Yr7T77VvF81rJFd/2dHceYbe9jW3sL3et3H+fd1/x7t+H86+1/2qz+yd+2ppHwe+Jnhz/gohoPg+/wDD/wABvC3g/wAUeC/i5pvimebQ9U0e0OnzR6b/AGTot7bR6dMsEd4iicu015cO6RO5jXzce6/PTjFtR1vZSfTRPls0t+q1S9HcLWZg6H+wH8MPib+3t8a/g98DtS8eav8ACf4IaD4t8XeIr3xPpcGg+IjoehQSSSWssNyC1tczXQg09ZmtjLGblbqWwTy5bRKHw++Bvwg/br+G/wAVZ/2Z/wBnC/8AA3in4NfDS68bqtt46OoWuu+HNPvbO3u/t0d8qH+1lgvZLyW8tZYLWVbDyINKheYOPS9e/wCChPgey/4Kb+N/Ffhz9o3Xtc+G3xP+Ett8GPiH8V/E/h6U32saTJ4YsdAvPE0tpIbi7bF5Zx6wtuHW6nWBYHeJppAOS+D3jP4LfsEfs/8Ax1134Y/t6+EvHPj74p/DQfDnQNA+HvgvXHji03UNRtLjV7u9udd0yxjgj+xWMloiwJPM0moq6+T5PmVxc+O5It35rU+XSVrv4ueyS9bpWXRMq0fzOt+CXwZk+Lf7CfgX4y/s+f8ABFvQfi/4kHjzxB4V8ZaloNl8QdT2w6dpfh6e0u7iPS9cSO3ubmTUb9nwscL+SBFFGI2B5L9vL9iv4QfAH9lHwJ8c/E3w38W/BH4xeNPFt+t3+z/4v1Q30j+H0iAGvWsUtvFe6LZC/jurOC01J7q5uI1EqXMwhllk5L4m6b8Bv+HbfgDwNoP7YXgPV/Gfhvx54i8Val4HsdF8SJfeTrNh4YtY7RJ59Jjsmubd9Lu2n/0kQ7VXyZZywWr/AO378Qf2aP2qvDGh/tv+HvjNYWnxi8Y2GkwfFn4V2vhmaJpNeiTULfVPEK3EGn2mnwx3gs9LvTbxNPK11rN7uZBAPMdGOJWIjLmly80r6Tb3fKmm2uVrXm5bKyV7u6Hax8s0UUV7xkFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFRx/8AHxJ+H8qkqOP/AI+JPw/lQBJRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBHdf8e7fh/OpKjuv+Pdvw/nUlABRRRQAUUUUAFFFFABRRRQAUUUUAFFangvwvc+NPE1t4atJvLkud+19oONqM/Qkf3fWvUfFH7G/izQPD0XifTtZ+32027yT9nji34cIesxIwSeo7UAeNUV7t4G/ZTsvEfgK7n1W6+zan+7/0nYX+y/vW/hEoV9ygD2z61598Ufgprnwx1F7O6u/tMaY3TeWqdQh6B27vj8KAOKor6MsP2T/C0fwUtfGbp9tuL/f9n1DLx42XJjb935uOny8gdM1V8R/sT3yQi4s9T+w7esfkiXfnA6mbjH9aAPn2irviLw7rPhPWZtA1+z+z3dvt86HzFfbuUMOVJB4IPB71SoAKKKKACiiigAooooAKKKKAI4/+PiT8P5VJUcf/AB8Sfh/KpKACiiigAooooAKKKKACiirWlaLqetSmDTLbzWXqN6r6+pHoaAKtFXtQ8N61pQhN/ZeX9o3eT+8U7tuM9Dx1HWotI0jUde1GPStKt/NuJc+XHvC5wCTySB0BoArUV0uh/D638TTyQ+H9f+0iLHmN9lKYyDj7zD0P5V1d/wCE/BdnJqFgnw633Nn5X2dP7XkH2nfy3OcJtHr1oA81sLKXULtLOAfM+cfgCf6V0Q+G8UkkaQa9v8zPP2XGMf8AAq9P+Hfwa8EJoxh8RWHmzR/8fV15sq7ss235VfA4wOPrVzWNA+E/g28E1jYborf/AFkHmzjG4DHzEk9WzQB4Bd2lxY3DWt1HtkXG5cg4yM9qjrtfix4dhuPEra1oC5hvelvk/utiIv3mOWycnoMVlaN4CnvNOOsa1ffYLQ/6ufyhLv5KnhWyMHA/GgDn6K7y8+B88kMkPhvxD/aN8mMWX2QQ7sn++74Hy5P4Y71wdABRRRQAUUUUAFFFFABUd1/x7t+H86kqO6/492/D+dAElFFFABRRRQAUUUUAFFFFABRRRQAUUV03g/4S+NPHWmy6h4c0zz9m3yk86NfMyWB5ZxjG0/WgDmaK2da8B+I/D98uk6tZeVeNn9x5iN2DfeDEdCDWz8Ovg1rPj7WhpBu/sm3/AF0nlrJ5fysw43jOdvb1oA42iu28R/s8/FjwZcWcPjHwz9gW/wDM+zP9tgl3bAN3CSHH3l64619M/DX9jP4KeDNA0nVviP4s8nUrnz/st59guW+0bXZW+SKYqm1WUc9evXNAHxhRX0F+0T+zjoGjWQ8R+HH+ySJ/rY8PJ9pyYlHLSHZtye3Oa+fnRkbawwRQAlFFFABRRRQAUUUUAFFFFABUcf8Ax8Sfh/KpKjj/AOPiT8P5UASUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAR3X/AB7t+H86kqO6/wCPdvw/nUlABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUcf/HxJ+H8qkqOP/j4k/D+VAElFFFABRRRQAUUUUAFFFFABRWjoHhLxB4oEx0LT/P8As+3zv3qLt3Zx94jPQ9K2PD/wZ+IXiTxZD4I03Q9+p3G7yLb7TEN22MyN8xcKMKCeT+tRUqU6NN1KjSildt6JJbtvokb4XC4rHYqnhsNTc6k2oxjFOUpSk7RjGKu222kkldvRHLUV7BB+xH8b5L22gm0Dy4Zd/wBon+1Wx8nAyvy+dlsnjjpXYaZ+xh4G0Xxrc+Hbz42far3Tdn2u0/4RuVNvmRll+cTEH5TngnpivIfEWTOoqdKsqkmm7U06jSVrtqmpWWq3tfofex8J/EKGGlicZgZYSnFxjzYuVPBxcpKTUYSxU6KnK0JNqDk0ld2ur+CjwT4jC75bDavr5qH/ANmrat/gL8WLrRB4jg8KbrI9Jvt0A/i29C+fvcdK+8PD37NVt4avP+El8BfDLzJNO/19x/bRHkeYCg+WSQ7t2WHAOPyr1LWPAGjaP8Pzqd5b+Xf2n/H7NvY/flATgMV+6ccfjXNQzbN8dJSw+CcYNXvVmqbuna3JGNSXmm0r/df2M04F4B4bozp5pxHCtiYzUfZ4GhLFQ5HBSU/b1KmFpOz92UYSm4u2751D8zvCv7MPxh8d+HbLxH4L8Mfb4rvzMj7bbxbNjlf+WkgJyVbt2rhtV0q/0W/k0zU4PKnixvTcGxkAjkEjoRX6O/sjr4y8QfGLxD8FfjPo39qz+Gvsn23VPtEcG77RbzTp+6gwBwEXhj0ycZIrlNP174va/wDGKP4daFp22PT8/wBqS+dbnzPMtzLFwwGMYP3Sff0rpVbiL2jbo0uWysvazvfW937HVPSysrWervp48sB4TPCxjHMcd7S8ry+pUOVxtHlSj9fummpuUnOSkpRSjHlbn8C0V9bfthfsYfC34aeO7zwz4DP9k22n+X9ouP38+fMihdflkmY9XYcE9fYV5D4+/ZE+IfhWaBPDh/thJd3mSfubfy8BccNKc5yf++fevaPzs8norX8WeBPFfge7+w+KNK+yy/3PPjfsD1RiOjD86yKACiiigAooooAKKKKAI7r/AI92/D+dSVHdf8e7fh/OpKACiiigAooooAKKKKACiu++FnwA8Q/E6x/tGC8+yxSf8ereWj+dguG/5aKVwU79c17GP2KJPAnw7u/FHinQPtF3p/l5uPtWzzPMm2fdSYgYDAdDnFAHFfs9/sheJvivqUdxcWvnRw5+02G9FzlZAvziVf7m7j6V7Lqv7I/hzwPoGqapNp++Twl5H2SHzXG/7U4Dc+acYDZ53fhXsv8AwTg1H+2tI8WW12m2eP7B5qZz5eWuiOQADkD8K7L4f+PNB8ffEzWfhR8QfDv2u01T7P8AZpftbx7PLhaZuIlBOSqjlh078igD4z/Z4/Z30j4q+FUj8OH7LrHP+kfM/k/vJP4WkVWyiEe2fWvcv2XvGviP4ofDvU/2fPF+pbtTg8j+yLTyUHn7ppbmX5kVVXCop+Z+eg54rsv2HP2fviV4A+O2taT8RPCPkyaJ9m+0p9vhbyvOtbhl5ikO7IZemce3NXf2fP2atb0f9qq4+KXg6026Pp2zFv5ind5ljJD955Cww5Y/dP5c0AavjrwX4Q8HeBzFp9p9nt9R/wBVd+ZI/leXKuflJJbJYjtjOa+Y/wBvzw/dyeDNJ1rUm+0XQ8/99gJ5f7y3XoDg5GB04xX3n4z8B6b8QJ5hY2uy+0zb9qbeT5HmBdvVgG3KvbOPavlr9rXwXpul/AjXH1G08ubTPs2y58wnzvMuoc/KDhcAgd8+1AGLpOnHw1+wje6B4i07dNpfl+bJ52Ps/maoWHC5D7gR3OPavOfCX7XtjY6DdeK3vftV++z7dYeWU34Yonz+VtGF+bgdsGvtWPwp/wAJx+wtJqc+i/aNVvMeZH9p2ebs1PA5yFXCL+OPWvzY0/4R2mk6xceF/FVxs8nZu1DYTtypf/Vo/PUL196ANiXwHJ8X3l+JfjHTP7O0efb/AGefO87p+6f7jK330XqvfjjmvMPix8KNZ+FWtJZXk/2myuM/YL/aqfaNqoX+QMxTaz7eeuMiv1T/AGc/Afgv4bfsmWv7QWuRfJeb/tFpuk/0fZfy2y/MrNv3bgeE46e9fIHxe+M958e/ihb+HdB8K7Lg7/7Rl+3A/bf3CNHwyII9gjP3T83egD5U8Z+DPEvw98S3PhDxfpv2PUbPZ9ot/OSTZvRXX5kJU5VlPB71l1+qH7Q/wZ8EeA/hjZ/CvxBY/wBrSnzP7eXzZYPN/fRzQfdc7cBh9xucc9cV+dv7QPwS1X4N+Jo0VPN0XUM/2NqGVX7T5aR+d+73s6bXfb82M9RxXlYXG4pV3h8ZBRle0JJ+7UsrtrrGW7cJXdk3GU1GTX2mc8PZRPLVmuQ4h1qSSlWpTjathXKbjFTaShWpv3YrE01GLlKEatLDzqUqc+Booor1T4sKKKKACiiigCOP/j4k/D+VSVHH/wAfEn4fyqSgAooooAKKKKACipLOzuL+4W0tI98j52rkDOBnv9K6DTvhzd30EMj33lu+7z4/KB8rBO3nd82fbpQAzwx4QgvbaPWdWlxbNnbHtPz8leqnIwcdq9W0PQvEVroa6rpSfYZkz/pOUl35Yj7pOBgZH41e8M+DvDWk+RZNc/6RcbvsjbH525L98dD3/CsmbxpHrdnYnWINlxZeb5p3ZzvPH3QB0A9aANHXZbXWba/8XXsP2s2Xleedxj8zeQi9MYxjsDnFVdH8FX8jW0dycW95v3Hj5dmfQ5PNWjp19otvZ6Vfadi/tPM/taz84fLuOYvnGVPynPy/Q10rxGy8G3WoXmofZZl2fYZfK3/8tMPwOOnHPrxQBw2k+AfD9t4O1i8v/DeTo/2ffbfbH+bzZCB8wbjse/4VN8S7KxvD/ZC3XmahZf6l9hGN+1jx937vrmuk1XSvH2q/DHxRcW3hX9zf/YvP1r7dFxsmAH7knPUbOMetYvhbwJFaQwat4gb7XdHd58mPL3dVXhWwMDHT0oA4yGbU/C1k+li73wz4+yyeWo27TluOSeT3pb3UNO1OeVNStshNvmLvPORx0+grobjRZPEXwok8RxRbp9Bx9tTdjy/Pn2pzkA5A7A++KzfC3w9vvEmihreT5JvurgfLhj3LDOcUATeEIPCICRavo3kQWuf9O+0SNv3bv4F5GDgfrVTUb3wfdrd6bFd+dZT+X5cnlyLt24J46n5q6L41aXcwWXhyHSdR+0xN9s+yfuQm3Bj3fePPOevpxW+o8BeLYtPtfFEH9kz/AL37Vc7pZ/L7r8qYByFA46Z9qAPNdJ8W6rodv/ZMdz5kMf8AqTsUbMksexJyT3rB+Kt9aazc2murp3l3N15n2q584nz9oRV+XgLgDHA5r0zV5vhlBq6aJ/wq7zAufJi/tuYbMqGPPfPXk0njL4IWMui6pLZT70s/I2ybSNu9l7F+aAPB6K7K6+EqNpdvrGieIvtsN1v8pvsnl52ttP3nz1z+VZHiLwadGtzd2Oofa4k/17+V5fl5IC8EknJPbpigDEooooAKKKKACo7r/j3b8P51JUd1/wAe7fh/OgCSiiigAooooAKKKKACipLW1nvZ1tbWPc7Z2rkDOBnvXX6B8BfiPrl9FbNovkxSbszfaYW24BPTeM8jFAHGV758Nv2adGm8Hrq/jnw5uuYM/b1+2MPK3SMqcxyYbI29Oneub+GXwf8AFHg/xrZax4ij+zSRebtt8o+7Mbr95XOMbgfxr9JP2efgzHZ/BmDw/dW/nX1xu+03G/bv23EjL8ofAwvHBoA+AdZ/ZMtZYdSvdDi5fyfsdruP+jYID/M0vz7uTz06CvXP2GvhzoPi/T9I1rXbLdYr9o/tO28xhnm4WP5lYH7yg/KPrX1/8Zf2StP8NfAW407wzpGzULDZ9kk+0E/fukL8PKV+6T1z7V86fsh6no3ws+Ld3JaeHMaZ4e8vyx9sb9359vNnqGY5Z/fHsKAK8/7Hl34D+LcnxO8V6J/pUePsd59pH+kZt/Kf5EmITaGA5XnqPWvOvjZ8CrXTtRt/iJ8ItW8nVLbf9q0/yC3l7hHEv7yZ9pypduB7dcGv0J+Heo6H8XvC8Pi/Tl8q4td25ss3l7nZOh2g5CHtVXXILOCXU4dEsvs+7yd1/wCYXz0/gb8V/HNAHyb+1Dc3Ot/sW6zrviGL/Sm+zfZm3D5v+JjErfdwBwB1FY/7d3wp0WT9mfQvH+j3nl2+m/avssPlsfK8y9t425Zstk5PIOP1r2P/AIKJ6Bb6F+yTqUcGgfYceT/Z8v2oy7v9PtvM4JOOvf14rP8A+CkPiq9b4EeEbSDRvKsfEH2/zrT7QG3eRdWpHzEZHzc8Y9OaAPgzxd/wvbTtMtvB3jFsxTb/ALPb4tfmwyu3zJ05Knk19CfE/wAKfCr4U/s+6Vc+LrL7VPrnn7JvMnTy/Ju0B4QsDkOo7Yx3r2D4ifsdfEn4i/CfQPiv4J0X7UJ/tf2ib7TCn2XbOsK8STLv3bWHC8Y/GvOP+Cg/w81LR/2m7rVtR0nZojbP7HHng7v9Ctll6MXHzkfe/DigD5q8Ofsm+Jdf0W01vU73+y47rzNg8tJ87WKnpKPQdu/tXmXiXwl4g8IXv9neItP+zzf3PNR+wPVSR0YfnX3H4A+P37QfxSl0y4+HGgfatWh87bN9qtE3Z3DpLGqj5EYfh64rvvjv8GPDel+Cn/4WRb+YniDH9taRvced5Ekfk/vYn+XGVb5cZ6HPNY4idanRcqUOZrpe1+9m9L2vZOybsnKKfMu/LMPgcXjoUcXW9jCV1z8rmouz5XJR97k5rc7gpzjDmlCnUklTl+ZtFavjfR/DWg+J7rSfCHiz+3NOi2fZ9U+wPbeflFZv3TksuGLLz12571lVdOpGrTU43s1fVNPXunZp+TSa6nPisNUweKqYeo05Qbi3GUZxunZ8s4OUJLtKMnGS1i2mmFFFFWYBRRRQAVHH/wAfEn4fyqSo4/8Aj4k/D+VAElFFFABRRRQAUUUUAFFFFABRVmx0nUNSIWyt95P+2B/M+1bdl8I/iBqEPnWug7gfu/6VEM/m/tQBzdbHhPwB4t8c/aP+EW0n7V9l2ef+/jTbuzt++wznaenpTtM8AeJ9V1RtGttPzcLjKean90t1LY6CvrP9me78K/Diwsfh38afDPlWFr5v9pWf21237jLLH88G5hhmjPyn2PcUAcN8NP2O9C17RXjv4Pt13Fj7TPuaLycs+3gTANkADjpioPiv+w9rVvrMF74B0/yNMk3fax5qt9lwqBf9ZNufc27p0+mK/Q/WfhD4V0XV5Ncnm8vTxjfBtc+X8oUfNvLHLHPTivL/ANp39njXPG8t1q/w30//AIqKy2f8IwPNX91v8pbn/WyCNsxq3+szj+HnFeJQXElTFOVZ0oU7qySnOTX2k5N00n2fI99Vpr+h5lLwnwuUQp5fHG4jFOM+apUlQw9KMv8Al21RjHFTnFX9+Lrwb5fdkuf3PhTxF+xv480Lw2dYhvPtF23+osfLiTzPnCt8/nEDAOeeuMV5rpHgTxXruoy6VpWlebcQ7fNj8+NcZBI5LAHgGv1Q/Zf+INx8ePgzY+LviDpHlaYfN+0f6QG+0f6RKi/6tUZNrRr0HP0zXgH7UngbTPB934b+NHwuP9r6QftnmH5rf+0OIoB/rmLReW7P/D8230INe2fnh8uWX7M/j+60qO9a32XDZ32u+I7MNgfN5mDkc159dWs9lO1rdR7XXG5cg4yM9q+8Ph5+0J4VtBH4O+Pvwz/su0mz9j1D+2Xn2Y3O/wAltHk5Plrye+R0NeUft1/szah8L9VuL2XhrTZlePn3rbj/AJ6NjG+gD5iopZI3icxyDBHUUlABRRRQAUUUUAFFFFAEd1/x7t+H86kqO6/492/D+dSUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWp4Q0my1XWYotVk8u0G7z5ME7flbbwDk8gdKAMuivqXR/2cbTxD4IuNH0jRfNL7N/8ApJXpKWH3pB6Gu8+Av7P9j4S8A2Fp4r0P7PqB837fa/aS+f3shT5kkK/dIPHrg14Wa8SZLk0ZfWay5l9lazva6XKtVdbOVo6q7Vz9M4H8H/ETxBrUv7JwE/Yz19vNOFBRU1CUvaSXLPklfmhT56loy5YScWl8PV0vhf4P/EXxnpo1fw14d+027dJPtcKfxFejuD1U/lX2j8W/2PvgL8PIL7xb8Vfh59jjtvK+23H9rXUm3cURPlhlOc7kHA78961r+4+FHhvwxpXiC5n8rTfFHn/2ZLsnb7T9mfbJwMsm1jj5gue2RXnf63f9QGJ/8Ff/AGx9d/xAj/qqcn/8Lf8A7kfAHiPw5rPhPWZvD/iCz+z3lvt86HzFfbuUMOVJB4IPB71Sr7z+KP7P/hz4o6ENK0/U/wCzopP9e3kvN5mGQrwZFK4KHp1z7V8h/GD4B+O/g3eqPENjusZ8/Y77zYh520Jv+RZGK4ZwOevUV3ZVxNlOb1HRpycKqbTpzXLNNXurdWrNvlbsvisz5njjwa464Dwscfi6Ma+CnGMo4rDy9rh5RkocsudJOEZOpGMHUjBVJX9nzrU4iiiivoD8rCiiigAooooAKKKKACo4/wDj4k/D+VSVHH/x8Sfh/KgCSiiigAooooAKKKKACtrwN4H1Xx1q40zThtUf62b5Ts+ViOCwznaRWt8G/g7rPxl8QN4f0W68p1xltit1R26M6/3D3r7L+HnwI8H/AAjjtdL+HXhb+0vEV1v+z/6dJD9s27i3+tdkj2Ru3X72PUivBzfP8PldanhoQdWvU+CnG13vrJvSMbqzk/N2ajK36XwJ4Y5pxngsTm1evDB5bhbe3xNXm5I3cbwpxinKrWtK8aUbczcIOUZVKfNlfBr9nfwzpI0v4f61Yb9R1bz/AOz9J81xt8rfJJ+9WTacqQ3JHoM9KzP2v9e+IfwC1+28BfDDXf7JtNM3/abj7LDP9o8xIZF+WUOU2mRxwTnPsAPtUfs5/CHw38QYvilo/hX7Jf2u7F39uuJNu6LyfutIVOVJH3e+fevkz9s/wvFrP7WN1oj6dvjl2eT++x5uLCBj3G3GO55rKjkP1rlq5rP209+V/wAKL974YbOylbmnzSdk9Nj0Mw8T/wCxPa4Hgah/Z2Gfu+2WuOrR/da1sTdyp80qSqOjhnSopylFqovefo37GXhbxL8T9f8AFNh8QvFH9rWnhf7D/wAuKQeZ9pSc/wDLIqRgov8Aezjtk15v+zPZxD47+I4BNkXP2P7Va7f+Prbaylfm/g29eOtfcfwp+GcPw38O2fhPwVqX9pTaT5n9oN5Pk+Z5ru8fEjMBgM33SenOM14L4O/ZH/aB+FHx81Y+AvDX2/wlqvkfaLr7baRef5Vq235ZJWlXbK7DjGcZ5GK93D4fD4SkqVCChFbKKSSu7uyWm+vqfmeZ5rmmd46eNzGvOtWnbmnUlKc5WSiryk3J2SSV3oklsjsPH/xu1P4d/GCb4f32n/bYptv9n2PmrH5WLdZJPnCMWyWz8x4xgelXX+Id7r+kPFqmn+W0uPtF95oOMN8vyBR6AcfWuD/4Kq/C1ZfhNdatBovlaxe7Ps/+k7vtWye0Vv4tqbU9cZ+tc58Pf2c9Q8E/C2D40/s5ePvt5G77Xcf2UIt/79oF+W6kOMbpRwvbnsa2OA9B+D7xv+2r44tIH8t9T/sz7TJjOfL01yvH+GPxrnvAvwF+Kf7M8PxC/ab+N3h7yV0T+yf7O/0uBvtHnbrST/j3d9m3zY/vIc9sckep/sN/s4fFrxNqup/FDxrofnQX3k/Z2+0wL5+xbiFv9XICu0heqjP61rftM/tCeA9O+Imv/sOePPD+Y2+y+Tqf2uX/AEnEMWoH93HH8m3KrzLz1/2aAPgXwX8P/jH+1P4QTxd8RrHz9IOd0/m26+d+8ZPuxNGy4eFR05+mc1vAmseM9C8OX/wo0/wx9u1jS/K36l9tji8zzHaYfuyCowhK/eOcZ4PFe5/8Etvj9rWrftW+G/g/4Lu/K0e++2bo/LVt+yxu5+ske4YcN/EPy4q9+x0mkeJP+Cg1z4PutD+zaZqWzdp/2ln3eXpM7/6wYYYYbuo646UAeK/DD9ifxR8afhzD8ZNR1b7RqCbv7d0ryET+zszPBD+9EyrN5ioG+Rflxg+teDftZ/s1zfs++J4bKKTEdxu32uB/o+1ISPm8x9+7zM+3T6fuF408Gfs/fsp+AfE3xVtPCH9nWSfYvtQ/tC7m25lWFepkJ+absvf2yPy/8B2nxI+Out6z451vVtvhs/Z/t+leRCf7V+Vo0/erskg8qSMNwPn6HiscROtTpOVKHM10va/ezel7XsnZN2TlFO678sw+BxeOhRxdf2NOV1z8rmouz5XKMfe5Oa3O4Kc4w5pQp1JJU5fD9FenftM/ASb4K+IoGsTv0y/3fYpOmdiRb+C7N96Tvj24rzGowmLw2Pw0cRh5KUJK6a/rRrZp6p6PU6M+yHOOF84rZVmtGVHEUZcs4S3T3WqunFpqUZRbjKLUotxabKKKK6TyAooooAjuv+Pdvw/nUlR3X/Hu34fzqSgAooooAKKKn03Tb3V71NO06HzJpM7E3AZwCTySB0BoAjt7ea7mFvbpuds4GQO2e9elfCP4C3uu3cviL4iW39n+GrLb/aeqbxL5G8Osf7uJxI26QKvyg4zk8Zr3T9mn9jfX9W0NdS0ttqXGd+pYQ+ftaUD92Zvl24K+/Wuh0H4dXqfst+K9L+IWg+TZ+G/sP9mz/ag2z7RfEyfLE2Tk7R82fbHNc2KjiqlNQoSUW3Zy3cV1cVZpy6Lm0V+ZqVuSXrZNWyjDYp1swpurGCbjTWkak7rljUkpRlGnvKfs/wB5NR9nGVJz9tTo+GviN49+G9zJ/wAK+1n7LEcfab37PE+7g7fklViOWYceufSvdv2Hvjqnx+1LUPhb8TrnztR/df2bFs2/a+J5pOYkRY9qxp95ue3cH5H8N+Ibu18M2kcL4b95vbA5+c47U/R9K8QeEPFmprHrnl6bdeT/AGg/2ZG27Yz5fGSx+Zu348V0nkn3T8Tvh/4K/Zi/ZP1u58EeHfNeX7N5dx9skXzcX6A/LIz7ceaw9/5fKqeN9at9TXxOt5m4t8/Zb3y1/f7l2N8m3C7RxyOetfdLeAbL9uD9kKy1/wAQah9g1TU/M+y6n5Rl+zeXqG1v3atEr7lgC8gYznk9eH8B/wDBJWa9u7HxJJ8YNz23m+TB/wAI+Bv3BkPzfauMdeRQB9Q2cCWGvTaVFbbfP2+e+/O3auV479e1RaT4V03SbPSl0qH+zrWLz/O07c03nZJx+8JyuCS3HXOO1dNbaZL4qntzri/ZbSDf9q53/aNw+X7pBTaQOnXNat5b32qXEEd/PukuN3+g7QPO2j++Pu4Az79KAPL7uz1OK0MepwfZ0H3bzcr+Tz/cH3s8D2zmuR+Jv7M/gX46adB4f1LUdtlf7vIfyZT5Wwox4EiFstGOpGK9q0/w9q8F4NVis91xb9V8xR9o3Aj1wm0fnVjwLoGLFk8L3Pl34xuj2Z+08tjlztTaufrQBzfwn+HFr4f0680uWy+z2s/l+Zp3mF/sm0uR+83Eybid3tnFeG67/wAEw/2V7zxRFr1vp/mC53eavm3w8ragUcm5+bP04r63t/DFhJpl14ft9C+zah8nlP8Aai+75tx4J2jC+/ety28CaZpHgKDRNS07a0e7dD5zHdmXd1DHHUHrQB8R/wDBSjwF408P/s2Q+MvhPafZ9Mt939sSeZG/lbry1SLiZizZYv8AdHGeeMV51/wTK/Z60fw7oH/C/PF0v2PS9P8A+QbqO1pM+Y91bSfu0kLfeKr8ynrkcc1+iElteeDrq106A+Z5e/MPA3ZGevOMbs18/f8ABQjRtf8Ah9+yX4oT4d3X9maLo32Ly7HYk3+uv7bPzykv99mbv1xwAKAPza+NPizxN+1N8aFttO0/+z4Vzm881Jf+XZD9wiM9YSPxz9Zv2g/2TPjj4S8HXnhix8afbdB1fy/7Qi/s62j2eVJG8fJlLnMhzwR05yKb8N9XvtF8Y2tzpJ+zXDb8jh/N/dsP4gQuAT9c19t+O/iZ4T8RfD688Lz+C8yt5f8AaS/2jJ+9/eq8f8IC4A/hPPeoqU6dWPLNJq6euuqd0/VNJrs1c3w2KxWDqOph5uEmpRbi2nyzi4TjddJQlKMltKLcXdNo/FC/0+80u6azvodkqY3LuBxkA9vY1DXvekfDGLX9Pvda+NOifYYNV8v7Drf2nzf7K8olX/cwMDP5pEacgbM5Gea8++JfwB8Z/DK3luNWi3/Y9v8AaI3Rj7PvKCPpI2/dvH3enesY4qnLEyw7TUkrq/2lpdx7pN2kt07XSUouXoVsmxVPJ6eZwcZ0pS5JOLbdKp7zjComlyucIudNq8KkVJQm50q0KfC0UUV0nkBRRRQBHH/x8Sfh/KpKjj/4+JPw/lUlABRRRQAUVNZadeajIYrOHew6jcB/P6V6p4N+C2saz8N38W+EoNuppjyF3KftGZmRuXcKm1Qeo5+tAHPfD7w1PputJbX9vvluc+VHvA+6rE8g+hFdFoPh7U73xtB4B1o7VO7zV+U4/dmQfdP07/4VoWOs6F4y0yHVIx9mdd32mX5n8r5sLxgbs7ccdM0fH3x3pWr+IJp7K2+0sm3y9Q3smMpHn92VHpt/DNAHSWctpA0d7rh+1afpud68p5XmcD7vzNlseuMVn6ddW2kzR+OLjTvNs7nP9o2fnFfK25jj+cctknPyjjoa5xPFlpb+EF0/U7THmZ8+fzD82JMr8oHHYcV6B8PfDlloEcsV5L5cq7dl1tJz97PygkdDigC3beIH8L6NHZeJB9q8Qpn7Z/Buy2U+4Cg/dkdPTnms/WrvxX8XdQsNE03wx9ms7Lzdun/bY32bwG++dpOShbqeuK0rnxjY+FvHWmap4Vsv7YuNG877FH5ht93mxYflwQMAnrn7vGM16B4c+IOheO9IaxutB8q9nxmL7UzdGJ6hQOi5oA4PUfBXiywtruS21DzFfy/7XHlRj7TgjyurfJt/2evepJ9Av/BOjweKtVu/tUNzu2XflhM7W2H5QSerAdO2a7HxP4nvtYt44Laz/s7y8+enmCbzskY5IG3GO3XPtXm/xt+H82l+FrXVdZk+0z6tv/s+fATHlPGJPlVsdCBzjpxmgDzW08S2P9h3slvDiaTy/scu49m+fgjHTjn8K7r4WweHdR+ErW09/wCXcWOPtd35Tnzd87lfl6LgDHGc9a6r4OfBCf4aaYviDxyP7QuLfP8Aaeh8ReVuZ1j/AH0bsGyGV/lHGMGuRv8A4Btp9kvjLUL/APdnO2Dyvu8hPvCTnkg9KAMbXdS8SfEl4L2HRf7P0+x3f2a32lJtm/Ak7Kxyy/xZ68Va03TriHxVdeH9VufIebZ5c2wNnCFjwPwHWvQ/HOnaxpfhCHVtNtPtdrY7v7SHmLH5O+RVj6nLZJP3c4xzSePbfw5p+j2mqw6Rn+z/ADPsD/aH+bzGUPx2xnvn2oA53WLOw8CeJZ/Dmu33nWcW3MflFd2UDdVyRyw71zPjnw54k1nXr6z0y622Fl5X2262IfM3qpT5SQwwwI4z6mvUrSTStH+JLa1rI+0WcOMp8yeZmHb1XJGCR25xWB8M/Cnhuw0S317V9Y8q2m3/ANoR/Z3b7PhnWPlTl9xI6DjvQBjaz8IvAmhafBPqmqZmv932mfyJf9H2EbflDkPuBA4xisHU/Al8IF1DwfZfa3jz5tv5gj3ZIA+Z24/iP4V6L+z/AOAZtX8C6FqmlR/aGvPtW6HITOyWQdSw9Cfwrt/2lfhV4a8M/BjUviLoh+yX+meT9kX55NvmXMUTfeYqcqT1B69utAHyP4g8ER6pG2r6HNuaTHlW+3G/GFPzM3GME1x1e465YR+I7N/iTo2k+XbS4/taLz8+RgiKLlsFtxBPyjjv615x8VvDx0jV49Re4/eXmd9vs/1WxUA+bJ3Zzn2oA5WiiigAqO6/492/D+dSVHdf8e7fh/OgCSiiigAooooAKKsaVpV/rV/HpmmQebPLnYm4LnAJPJIHQGvWPgj8K9Nlln1rVZ/3trt+fa37jd5i9A2GyMduKAOp/ZG+Clx43hhh0Zv+JvqG77PbYH77yzNu+ZnCrhFJ5xn619raV8MvCXg74reCvhTHZ5m1v+0vPPmSfN5MBmX+IgcN2Yfj0r5n+Kf7OHjX4Y+HY/GOsaD9msNTz/pv2qN/tPluifcWRmTazgdBnOea98/bS8EfE7R/Cvgz48+H9N8jVdH/ALR/t+/86FvL82SC3g+RmKnKkr8inHU4PNAHC/tvfA/xJ8D/AIg6L8RLCDdod59p8qDcg+5FBEfmLs/35Cen6c19b+Dta1LwP+yYnxKitPs+o6PnCeYr7PNv2i64KnKt6Hr2612n7Lf7QHhn9o/4cafrb2f9napN5323SfMebzMTSqn73y0UYWLdwO+DyOe/8O+D4LfUpYruPzZdZ27psldvkqewODxx2/GgDzj9kq+1DxR8EobTxJb/ADQbvNv94/0ndczEfImNm3AX36183SfsO/tGeA/jVeQaR4K+3eHtY8vfrH9pWcXm+VbcfummLriRivbOM8ivvKDwp4fsfDtpZ+CovJ0i38z7QNzts3Plf9Ydxy+7p/Ktfw1Z30OrahbajF9js7Tyt6bhJ5e9SRyOTk4+maAPBP2bf2d7v4YeHLu01vVPN1ufy/MTyAuzDykcrIyHKOP/ANdb+j+GdNvXttNjsfPvJ9/2uLzSu7GSnOcDj0/GvadS8HC10ae11qTyoI9vl3GN3l5YE/KpycnA9qzzoOq33xEe2Y7o7HH2a1+UZ3w5b5s/jzmgDxLxF8Hvhr4rs9M0Xxn4Q/tzStO87+zpv7QmttvmENJxG4Y/MFHzE/d44NdFqPwV8DavoWufDfxr4F+2+HNX+zebb/2nLH9o8phKPmjcSJtkCnqM47jivXdI8CeK9J8OwWl9pGJLbdsn+0R/Juck8Buc5xVjxFHpHhnVI9IFr9olfPnvvZM4UMOOR0Pb0oA8D+Gv7KMP7NPg3WfCfgK/8ptZ+z/Y7Pyt3k+TIzv88kr7s+ax5Ix0GeMQ/tG/AbQfj/4Tn+GPiBvsl3Pt/s3WsNJjbJFLJ+5V0HSMJ8zd8j0PtWo+G/Ct200Ph2Hy7iPb5Ue5znOM8scdM1maz4L0zUpCI9K+1f2J/rNJ89k87zsY/e5+XGN3fOMcUAfIXxE+K3wj/wCCefw5h+FnhKL7Xqt5u+1TbriPZsmWZeHWZTlbkjhu3rwPzd+I/jD4tePHutQ1abbp2p7OdsBz5e0fwgN95R6fjX1X/wAFD9M1O1/bO8U22safm2l+w/vPNX58adbHopyMHFeT+MPCl5o/hufQZ9P/AH11t+2N5w+Xa6snAJB4PY/WgD5y1v4cXF1Np/2S08u51XzfLh8wHy/KAzyWwcjntj3r0H4k/sPeLfDOny6v4a1L7cx2/ZrLyY4t/Kq3zvMcYyTz6Yrt/wBnH4X/ABK+MHxy0DRPAtjvXS/tX2dvNhGzzLaVm/1jLnOxupP4V9Lftz/EibwL+0NY+DfEGoeXpOoeb9rHlA/Z/LtLd0+6pZ9zsOhGO/Fc2KqV6VNVKdmk7yVm249eXlu+Zbpcr5rcunNzR9bJsNgMbinhsS2pVFy05KVOMY1W1ye0dRxgqctYTk6lP2Sl7ZuSpulU/Lqivbv21PhdD4J8Q6V4wWPyZPEPn+ZbZLeX5CQIPm3HOd2egx714jW1OpTrU1ODTi1dNapp7NPqmcOLwmKwGKqYbE05U6lOTjKMk4yjKLtKMouzUk0000mmrMKKKKs5wqOP/j4k/D+VSVHH/wAfEn4fyoAkooooAKKKKACiipLS0uL64W1tY90jZ2rkDOBnvQAtlZXOoXK2dnFvkfO1dwGcDPf2FfQ3w3/Zt1S28Py6joll/aUy7fPPmLD5nzsF+9JgYGenp71o+E/2VNH1HwlfvFZ+TDD5X9o6n5jN5eZD5f7vzcnJG35enU16L+xZ+1Dp/wAEPGdha+L7D7NZr5v/AAkWq+aX+2fu5zb/ALpImMewyKvyfezlqANPX/8Agnr8aNV0qRrX4f7NSlx5K/2rbHGGGeTcbfujv/Oul8B/APxd8D/gnqnijx1P9i8QXPkf2RbbY5PL23LJL80cjIcxyKfmHGeOa9Q/4KJ+PPin+zf4+8F+N/CPi/7PNef2j/ov9nwPs2RW0f3nVwciVj07/l3X7b3wE1j4+fArTfHHw1t9sOk+d5ab1PmebdQRnmWRCMGNuxz7cUAfKf7OGn6Xqeo33xKuX26t4j8rNvhjt+ziWL7w+U/IM9B+J5r0vTP2QvFn7QvxE0yfUrv7Lp/77+1Lzy45PK/ckR/IJUZstGB8vTOT76H7B3iTwY9jF+zv4us9uspu86DzJD9kybi5HzINkm5Np4fj68V9S/HbxQfhN8C9Y8f3159olsfs/nz+Xs8zfdRxr8oDAYD44Bzj8aAPA/2v9W8Y+DmtGsdbwbHzPtEv2aP99v8AJ28EHbjdjjOa7T4j/E9NA8M6Z448X2P9maTded/akXm+d5W11ji5RSzZcr90cZ54FfM97qeq/tk/tK6Z8DvE+rf2Pp2ped50vkLcfaPLs/tA4QRsm1oAOGGd3tg9x8YNI/aU0XQm+C3jqX+2rmXHn6nts7b+0MMk6/u4yRFsBVeG+bbnvigB/h3Q7H4d/wDBMpJ21LyG1DP2eLyS3+r1ohuct/ezzivnb/hlrXtO8E3Xxcn0LzJrDZ5d99qQY3y+SfkEuOhx90+vvX1v/wAFGbTw74C8G+GPgF4au/7Q1FPtv2qz8t4vKzJbXK/O+VbKsTw3GMe1fRH7Fvw307VP2QvC/hPxJouIT9u8+z+0n/oITuPnVs9QDwfagD471T4F/Dj9of8AZS8G/HH4v+P/AOyr22/tH+1NS/sqafzt18LeP93A6BcLGi/KvOcnoSeK+P3xI8NfG/4g237PXwr0z7T4TtN/2qLznTG+KO5XmZVl/wBbG54ft6YFbf7ZXi+H9ov4g2/wo+G955fg/S9/9mR+XnyvMigmk5lCStmaJvvMcdsDAPhlv8Lr34Vm88F6br/2pL7y/t832UJu2fvE4LNj75HBHTmgD2jxL/wTo0LxlPc6FeW3nS6Js8mbey7fOAY8C4APC45J/Cvk65/ZUtb3xNrPhyz1v7K2k/Z/Pf7MX2eam5eDLzn2J69q/Xv9qjQPEvgH4I654v8ACY+06hB9m+y/cT71zCjffJX7rHqO1fF3wS+E/i/SPjDF8dfjBpHkeErbd/aurfaI28vdbyW8X7qBzKcylF+VeOp4yaAPgHxf8PfGHgI26+LNI+yG63+R/pEcm7bt3fcY4xuHX1rFr6n+Jnwb1D4s+HrrxPovij7VpI2fYNT+xBPtHzoj/u2dWTa6FeRzjI4r5e1DT7zSrx7C/h8uWPG9NwOMgEcjjoRWOHxFLFUVVpu6fy20aaeqad000mmmmk0d+Z5Zjsmx08JjIctSNuqaaklKMoyi3GcJxanCcG4ThKM4SlGSbhooorY4AooooAjuv+Pdvw/nUlR3X/Hu34fzqSgAooooAKKKKACiiigAooooAKKK0/B/h5fFXiK30J777Ms+/M/lb9u1GbpkZ6Y696AMytDQPCuv+KHkj0Kw88xY8weai4znH3iPQ19BfCL4M/DnR9RstENv/b3iGbzMWm+a134Dt97eUGIznr/Djqa7z4haZq3inwUItYtP7KMH/HkPMWfdmRd/3SMdB19eOlQqlN1HTTXMkm11Sd7O3Z2du9n2N5YXFQwscTKDVOTlGMrPlcoqLlFS2bipwckndKUW/iV/E/CX7MkMXg6Lx/4y1rbs3efon2bOcyNGv75JP91+B7e9RfD/APZ9T4qancr4csvs8B2fZR5m/Pytu+9Ip6oevrX0X4F8N6b+zj8V739m74reNPKtbby/7K1f+zmb+0d0DXUv7qEuYfLMqL8z/N1HcCH4K/Y/2a/210vdR0bdo0ufLtvtBG/GmyA/MN7jDyg//W6WYHzRqnwNudE1iXTLmx80pt480LjKg9nPrVC8+F63Hj0aSmm/Ybab/VW3nebjEW4/Nuz15/Gv0D+PH/BPPwxeeJL/AE34Ca15eqWflfbPCP2Zz5W9Iyn+lXNxtbK+ZLx0+6ecUvxh/YV8aeFtI0rxV4s8Z/YPDfh7z/P1P+zo5fsfnsiL+7ScySb5CF4B25zwKAPzj+IHw01nwFqctvM32i0Tb5V5hU8zKqT8m4kYLY98Zrm6+s9W8G6H8T/EEs3hi+2aQNv77ymP2j5B2cqybXQj3+lfNXxH8EN8P/FVx4eTUvtsMWzyrvyfL8zKKx+TcSMFsdecZoAwaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKVEZ22qMk1Y0jSNR17UY9K0q3824lz5ce8LnAJPJIHQGvafC37PF1d6O2j+GIft2sy42vuEWcMW6PJs+5n8vWoqVKdGm6lRpRSu29Ekt230SOjC4XFY7FU8NhqcqlSpJRjGKcpSlJ2jGMVduTbSSSu3oh/wV/Zz1MSW+pa1pnnajc7/s9t5yr9n2+YG+ZZNr7lweele5eC/2dvD11ENd+JGk/adQb/VQee6fZsblPzRSbX3LtPTjH1r1D4bfDe+vLy38HeEbH7Te3G/y080J5m0M55dsDC7u/auT/a7+GHxo8L2EzeDvE/2fTrfb5i/YrZ/t24w4++xaLYxb/ezX5vUzXPOMMRUw+Uy9jhotJ1dVKVnqo21215dHZLmlHm5T+vsJwP4a+AGV4bNOO6X1/OK0JyhgV7OdGmpRtGVZSTi7STg6j54c0pexo1XR9qoLnxjrnxB8YxfCf4a3v2K/vd3l635ayfZtkfnH9zKAr7lVk+8MZz6CvWvFP7C2g+Lrg/EDwX8Wf7J/tD/kL3n9gtP53lgRxfJJONuNrD5QM5yema7D9lz9l2w+Gmtf8LC07xv/AGhDc/6i1/s0xbNqyxN8xlYnJcnkdse9fLnwx079p7UdS0b9mLTNC+0RwfaN+l/arJN+4Pdj94emMFvv9se1fY5Rw/lOR07YWmlK1nJ6ye17vs7J2Vo31SR/P3H3itx14lYp1M8xcpU1LmjRj7tGGsuXlprRyipyiqk+aq4+7KcrHWftnXt94xu/Dnweg1j+1ry6+2Z1j7OLf7RtEE/+qOAm0Ls+9ztz3xT/ANqb4E+PT+wz4EXW/D/lajYf2p9oH2uJsb9Th2/dfb93HTNcB8f/AIdfDr9lH9ouz8I6PoX/AAkF7oHmf2tP9qmtPt/n2cbxfKzSCLYsxHyk7tvOM8fRHwR/ax1j9t/4e/FHwB8Vtf8Atekyf2J9ji+yrH/Z+JZJH5hiiaXe8CHk/LjjjIPtH50N+H/xk8V/EL9nPx9Lpum/2pDon9lfZdG86ODy/OvG3fvigJyVL856Y4zXl/gbxX4u8RW9vJqHhLy4W3/arz7fGfK5bb8gALZIA46da3v+CaB8e3P7Vdh4CttW+zeHH83yl8iJ/LxY3Uh6/vDmT34z6cV9WaD4K+Lfxj+FV6nx0tP7K1afy/8AhHZ/Mt5/seJz9o+W3ZVk3okY+f7ufl5Brws74ey3PcPKNeC57NRnb3ouztqmm0m78rfK2fpnhv4scYeGWaU62W4mf1bnUqtDmXs6seaDmrSjOMJzjBQ9tGHtIx0Tto/ys/ae/ZP8NeCNNfxd8PD9ltxjGlfO/eJP9bLKT1Zm6d8elfO9fo/8R/BPiXxT4EuPDtlr39j3l5s8nUfsqXHl7JVY/uywByBt5Ixuz2r84K4eE8wxdbDVMDjW3Xw8uWTd/eWvJK7SumtE9W0uZ/EfTeOfC2Q5dnGD4l4chGGWZrSVajGPKlSqKyr0eWNSfLKnNpyiuWFOU3RgrUnYooor6s/DQooooAKKKKACo4/+PiT8P5VJUcf/AB8Sfh/KgCSiiigAooooAK9P/Z9+E2seL9QXUodL8x5c/wBmt56jfgSCTjeMY2/xfhWb8CPhFdfFDxGIPsP2mGLra+aE87KSH729SuCmffGK+7/hL8CfFNh4avIPh34e/tq8tvL+2v8Aa0tvM3O+ziV8LgbunXbz1FfOZ9n39mcmGw0PaYmp8EP/AG6XaK16q9nqkpSj+t+GHhh/rn7fOM4r/VMmwmuJxL+VqNFWfPWndJJKXLzRbjKcqdOr59ZWWg/s/Xl7MdS/tLVfE3l/ZLHyWh8/7OPn+f51XasmecZxgZJ49k/aQ/aT8U/BLVrf4X/Cjw1ta137p/tiHbuWKb7s0bZ/1jj739BXnP7a/wCzZ40+G/im0+LOjn+0tGsvM+22/wC7h8rekEKfM0jO2XYnhTjHPBzXrngf4R+Bv+ChXh3SPE2t+L/K8QeE/tH/AAk0X9nyt9u+1OyW3KvCkWyO2B/dht38WD1vJckeAlLF4qSqYqolzzslsklGKSVoqy6Jyau+iWHiN4i0+KKdHJMkoywmTYSUvq+HcpSd5SlKVWrKUpuVWTnKy5pRpRk6cG7znU8B+Hv7XPxg+EXiW0h8d6vs+z+Zlfs9ufte5G/55xN5e3ev1r7c8O/HL9njxbofh/4ueO7/APsjV7b7X/Z0XlXdx9j3MYZOY0Cyb0VT8y/Lu45GayPjD+wN4P8A2gL671XTW/sjUh5f9o2WJLjzuEEfzmdFXCxk/L13YPI58U+Fn7BP7V3ijW77wn8QLH+y9OXyvJvvNsZ8fK7n5I5w33go5PfPY19AflZ478WPGfiu6+Pms6ZZ2n9nTXP2fP7yObO21Q9xjp/P2r7t/YP8f/Gfxz4X8UTfFvVvtGnaR9i/s2/8i2TyvNe48z5IVDNllRfmzjGRjmvgjxto2u6T8Z5bjwJ4h/tOPRdv+k/ZFh+z+dbKPuyH592WHfGO2a/Y3WPDSeIRD4j07Qfs+r3G7ZN9q3+Ttwp4JCtlAR04z60AeYfELS/hTq2ia7r3je3+0aTP9l+1w75087ayqnMZ3Lhwp4HOOeK+av2a/EOqaf8A8FENP0TwbcfZG1fzf7b0fYsmfK0iVof3rj3Z/lI64Oa+rPil+zVB+05a6ZBreu/8I/dWvnYb7KbvduKf3ZEAwIh/317c9J+zZ+xj8Of2aLFtH+Hfz6neY/4SXWv3w+07DK1v+5lmdU2rKyfJjPVucYAPnX/gqv4/8W/B3w74GtPBGofZ4/GH9p/8JHp/lRv/AGj9ke0Nv88it5Pl72b5Nu7OGzXh1nHqn/BQH9qb7YbnZr0X3bnYp+1ZscH5f3KJtjtse/16/oH8V/gR8Df2gb3TvDXxZ8Jbrfwx539lr9vuRv8AtIR5f9S6EYMafeLe2Oc+iaR8P/DXg7Sbx/Dfgzy5L7y/tdt/aLnzNjHb8zscY3E8Y96APhb9iL/gn543+DXx91f4rfEPRP7KvPDX2f8AsHSftMU/2v7Razwz/vYp2Ee0OrfOpznAxgmvVP2ev2BfAvwk+K2ufFeLVf7bj1z7N/Y0XkS232TyYJIZufPbzN2/+JRjbxnOa+mbZNY1HVmhvm8n7DjBwrbd6+3Xp718o/8ABSn9p7xh+zB8JdD8C+BdL/sPW/Fv2nZdefHc/Zvss9rIflkjkR9ySsOq43Z5I4ANz/goT8KPih8Sf2R/EPhPwwMSTfZPtem/uP3uL+2df3jsu3G0tweehr4+/wCCcfg6LXLq01X4hWH2Pwh8P/M/tC683zNn24XIj+WIiU5mCj5d/XJ2jNfUn7PX7Qvh/wDZh/ZJ8MeMv2g/E/2DXvGX23ybP7E8v/HpfyIfnto3T/VyxnkL1xyc48p/4Kl/tH+DvGngDTfEfw/+Ke/R7Hzs239hyDdvltF+9JGGGHVj0P5YoA+f9Ml+Inxwv/G2veLLj7Tp9l/ZvmnZCn2beCo+5tZ9zRjoDjFfBvxS+H1h8PdbGmaZ4l/tWFvuXX2MwZwqE/KWJ6sR+HvX6hfsjeHPB3iL4bfEfwWnij7BYP8A2PnXPsUkvlYmmk/1OQzZYbOvGc18p/H/APZ08P8AxWurj4h+H9Qxd6lsxP5T/L5Yji+60ig8IR0H9a+cox/svPZU0rUsTeSstFViveWkftwSlrLWUJ9z9cx9b/XbwzpYuc74zJ+WjO8vengas37GS56zb+rV5ui1TpJKnXoJu0D5Cooor6M/IwooooAjuv8Aj3b8P51JUd1/x7t+H86koAKKKKAJLW1nvJ1trZNztnauQM8Z716x4E+DmteHrSLx7a6h5/kbvtNt5Sr5e4tGvzFznOc8Dj9a6H9i74E6b8RPGGmT6ncbH1DzvstzsJ+y+XHPu+UOu/dtA5xivoH4Q+GP2l/gD8X08OeHfAv2w3ec6R/adnH9p2W7t/rWL7NvmFuvOMfQA434yaRrOr/CzQfjR8ObHyrbR/tX9rP5qt9k82dIIuJSDJvIb7qnb3xwa+tP2VPjd4K/aI8Dab8M/ibrO3VLzzvNX7PIftWyWaUf6pEVNqxJ/Fz9cg6l3+yx8HtT+EHiX4O/Duy/sjS9a+x/b38y4uNnk3HnpxLLuOWDdGH3ucgAV8f3v7Nnx6f4nWXwEsvAufE7+Ziy/tO1/f4h+0/fMnlrti5+9z068UAaX7Rn7I3jv9l3Xka+uPtOhapn+zNZ2RJ53lLF5n7oSyOuHl2fNjOMjI6fTP7Mn/BO/wAMXvhDSfiB8eNM+0tJ5/2rwz5zp52JJY1/0i3uPlx+7k4HONvqa+sbKw8UeF9ANj4hl+zal/0FNqPu+fP+qXKj5SF/HPWut0/wZdQXa3t/qXky6pnNv5IbyPLBH3gcNkYPbHvQBz/gX4QfDf4eaJb/AAy8EaJ9js7Hf9ksvtM0nlb2aVvnkclslmPLHGcD0rp9P+GC+H0/4R7UIPtGnyf65t2zzcZYcBiy4YjoecVshNLhjX+04v3UWfItNzfvM/e+YdMHB569K2bXTTreiyW9y+ft2Ps6Y67Gy3II9O+KAM+T4etpN7Jb2fh/7Uj48h/tezoMtwW9+/pU+o+EbrU9MGuxan8x6w+SPm+YL1zx0z0rZbSLK9WxFxpvleR5vkWvnFt+773zA8Y680rG3iu7bVbPT/tl5c78S+aY87RjoeOnH4UAcTYw/wBp6/pniC30n7LBJ53nX3n7/Owm0fIeVwRjgc5zXR+EfDV7pxMjaf58Mn+qk80L5WN2eM5bJP4Yrbg0LQdIuobaxsvLebdtbzGOMDPcn1q8lqwna6RvLaTHmLjOcDAoAxtatLi4ld3udoXG202A56fxfr+lO1Cx1ISvpdxf/uLrGyTyl/d7cE8Dk5P5Vrval5Tu5R/vr9OlJEi38fnTjKt91P7vryOtAGPcWd43iSz1K9u/KeTzPJg8sN5WEwfmH3s9eelcx4y8E6Z8REs9E1s/akfzP7Sf5kxja0fCsv8AdH3T25rtYdLYwmJbPyPO/wBefM3dDx3/AJUovojql0b1NqWWzypM5++vPA/+vQB+O/xT+Gmp/sYeONc+GMc3/E4/0b7Hf7V/55JK/wAm6VfuT7eW9xzwL3wt0UftG/YP2ctEsfOt7zzftmqebtzs33SfumKHrEV4f3Pof0v/AGqf2SvA37U/hqy0rxlHtl0vzP7PfMp8rzHhL8JLGGyIV65x2x3x/ht+yX4H+BPgjWPCnwos/sOsXv2f7XrHmSy/bNkrOv7qaV0j2JI68Ebs564oA/PP4l+B7f4t+PjFp1h9vtYv9aPNMXWJcdWU9UP5VxHxn+Blr4l8K3Xh3xjB513Ls3XG4ruw6N91HAHAUda+8fjZbeFP2KP2f9fvvCOrefr+ofZfs8/kSL5vl3cYbh/NRcRzsOcZ+vT4v8Q/Cv4kfA3w1cfG349p/Zdrr+zyZcwz+b5Di3PFuzlcGSMcqM574JryM3o1fZRxVG/PSfN7qu5Q+3C1nfmjtHS81B3Vk197wDmOBWOrZLmKg8NjoOlepJxp0a7T+rYlyUoqHsarXtKjUuXDzxEFCSqOL/OTxj4XvPBniS58NX77pbbZvOAPvIrjoSOjDvWZXov7Svgnxr4Z8evrnjPTvs76pjyf30b7vLiiU/6tjjqvUDr3rzqvUp1KdampwacWrprVNPZp9Uz4rF4TFYDFVMNiacqdSnJxlGScZRlF2lGUXZqSaaaaTTVmFFFFWc5HH/x8Sfh/KpKjj/4+JPw/lUlABVjStPl1W/jsIThpM4P0BP8ASq9ek/Ci48HeHdMttS8Q3Hk/bt/mPskb7jOBwufUelAHY/BHT9A8NaZJrekXHk3b43LsdvNw0i/xZC4BPbmrvgW6sPC2ttrk2i+RDeY2L9pLbdisp9SeT6Vi+E7XwdceNrnULCf7RpE2zdFtkTZiMjqfmOXyfw9Kj8a6ZrXhW7mtLPUvPs7rbtl8lV3bQp6Ekjk4oA2PiN4Ks9KsrTxLbp9mtr/zPOuMl/L2FUHylsnJOOAMZruvizb+Ebn4ran4Zs7bz2tvJ/tKx3yL5O6BHj+c/ez1+U8dDXAaLqOoaV4OXWtTvPKY58ybyw2394VHA65yB0qj8KP+Ek1a0uU8G+C/t0sOzGo/2ikXlZL/APLN+GyAy+2M0AenR+FfGWtR2PiNYvsGmL5vybo5d38PXIYfMPTv6VveIvD/AIzuvh8nxG8rdpdtnZf7ox5e6URH5M7jlvl6cdenNcL4N+Avi7XvAV141+Guqf2jNp+z/hI9L8iOH7D5krR2/wC8lcCXeAzfIDtxhuor1n9o34deAviX8dde8U+Dh9p8Han9l/4RnW/3qfZPLtYkuP3Lsssm6ZWT5wMYyuRQB5fpV34q1XRNZuvAnij+zdAb7P8A2tqf2JJtnzERfu5PnOZAy/L65PArqjr8UXwy0C3toPt1941+1ZvN3lf2Z9jmz9wjE3mLx/Dsxnmk07wg/iTw3J4XvZcywY8q92/6jLlz8gI3bgMdeOteg/EP/hTln8VPHGp/CnUftWj6l/Zn2B/JuE8vy4FD8TfMcvv64xjjjFAFLSPjz4RtdStbGfxX/ZEGmb/Jk+wyXH23zFJPATMew+ud27til8PfA34rfHbTz+0VqsPk+GYP+QZ80Defkm1k6Oki4ljH3k57cc1L8OfCfxcsdO16K18K/bdFu/sv/CS6d9ut4/P2lvs/7wneuH+b5OuMNxV/xVqFz8MfD13feIfhp9hs38v7BF/bIl24cB+V3E8uDz68UAZ3xivdZ0z4RC80O03WWq/f1HzFHm+VcIB+7blcMSvbPXmsu+n0Pxt4f1KLS/EXmz3Xk/2hcfZGXy9r/u/lOAchSOOnetuP9tv9m3xlDo3gv4k+D9kmmfaPM8e/2heHb5h8wf6DFCM/dWHqf7/HNdl4P8P/AAS+KniDXtQ03xH/AGxY2P2X7HffY7m3+270YP8AISpj2MhHOd23I60AeD/EHTvE/jH4XeKdd17WvOdPsObn7Mi7Mzqv3VxnO0DpW/498LxeL9TvI7WXfqqeX9h0/bjzsqu/94SFXCru569BzW98WfAcd8p1fXLb7Fo0H/Hgd/mefnYr/dbeu18deueOKxNV+JvgnwRrFz4c16b+07202eV8skP3lDH7qkfdYd+3vQBzHiXxfpvxt8A6jqWh3/lXcXk/2jZeUW87MoEfzsFC4EZPy9ehqDxHpXiuO+v/AIK+GI98Q8r+2LjMY8zgTxfK5yMHI+Vvr6V2Hwz/AGX/AAE32CD4raf519eeb9tsvNlX7Ls37Pnhlw+5dh46dD3ryv4F63ceHrGUavY/Z7DW9uNZ80P9n8kyf8sVBZ9zEJ2xnPNAHoaeJR4L1a3Xw5L5Vlb790m3dt3L6MCT8zGrX7W3xCvdW+Gtj4IbTt6635vm/vgPK8maGQfwjdnHqMe9auk/BPxN4e8Q3t7rEv2wjy83G1I/M+Qj7qucYyB74rG8K+FNQ+JfxdgktNI8m10Ld5tp9oDeR59ucfMSpbcVz3x04oA8u8O+B10jwloK3fEN/wDavtqf7kh2chiep7Y965bxv4WvrX7R4P8AEd3suPk/tD92D5f3XT7pwcjHQ8d69z8SeHdR0v8AZ1tPEWiL9kvPD/mf2hJkSZ8+7Cx8McdCegPXnFea/GnwFe+ApLDw5eXn2uGw83ZJ5Yjzv2MeAxPVvU9KAPmyiuj+JHhWx8N6nHLpo2QXOdkHJ8vaq5+Ykk5JJ9q5ygAqO6/492/D+dSVHdf8e7fh/OgCSiiigAqxpel32tX0em6bB5s8udibgucAk8kgdAadoui6n4h1OLR9HtvOuZt3lx71XOFLHliB0Br6U/Zb/Z80bx9oMlr4X1LyfE8WNreSzfaMvKT9+QRptiU/X60AZPwXh0z9nPWtP8R+NPDf2/Sb7zft1z9saLdsV1T5Y97D55VHAHTnjp6f8ZvhZb/s/wDx+1bwxPD58b+R5cu4rnFqjnjc/wDz0x1/+t7b+1V+xh4u+IPg2x8YeHPDnla2fN/t6x+2Rt5/7yFIPnaYIu1FJ+Qc9DzXt37Mv7LXwo+JX7Ong74PftN+D/P8SeHP7Q2Rf2hOv2X7ReSznm0lWN90axH7xx7HIoA6r9iTw5qNj8MdHs9WXzLjVftH2ZcgeX5U05bocHIx1xj3r0cfCm313w03hr4mReZbzY/tO33EfacPvj+aJgU2kIflPPfvV6wslutFu9f0+x8xJPL22Xm7dmGKn5z1zyentXZazFoHjPQG0Ow5vo8bR8/7vLhu+Acqp70AfPXwZ/Ysl/Z/+NT+PLS+83TtJx9nbytv+ttnjbgzO33pO4P4dR9HWmmQeKdRN1c+G/Os7X/U3P2wr94YPygg9RjmtbVfDV8+qwW6/wCmzxbv7KbiP7JlQZe+JNw/vdMcV1UU92NOuNPkf7PLbbP32A/3jnp06cfjQBi3NjPoaSafp995Ms+NqeUG8jbyeTkNuBP0rRXT7iOOXT4dH85JNvnw/aAvl45HPfPXjpV+QTT6WIBb+UZOke/dsw3r3zUUttPcX85sr/Fzb7d/7ofxDjrx0oAxrua7t7mZLnRt0Vrt+3N9oA83cPk6crg+nXvVKKNvOtddsdY+0zW2/b/o+zG75T146e3at9LiWwuraa2/fXeo7/OP3fN8scdeFwPTGaXVV0258WWVrjdIfM89fmH/ACzBX/IoAlvJtY1eK0uNG/ch/M8yf5W8rHA+Vsbs4I9qqXmlQahpOo6VozZd/J/cYP7vDZ+8x5zgmrl1ZvNp07aJDkSbdg3ffwefvdMc1dhglt72aWODKybed3oKAKGuaHPJbnUIm867j+4cBc5IB74HFcxqvgvWIG1LSzbeYNU8nzdU3qN3l4I/d54/u9vXmu7kkM0YS3n2M/3H256deDVaawtNbt0muYsZzgbjxz7Y9KAPn39oD9l/wD+0lePaeNh5s9lj+wNS/er5O8Rmf93HKgbIiVfnzjqPfzK5/wCCaPwb13xC/iDxZdfb2vcbvkuIvuJtH3Lkeg7DpX1xfeGDquqanDqltts5fJ8mTfnOF54Bz1A615Z+1t4/8YfAz4Iav488Habvnsfs/kyedGPsO+5hjPDq4l3iRuoO2gDhviT4u+C/7F3gSXS/h9Zf2fN8v2LSPMuZd/71S/72USgYE7Nz64HbHyVq37FXif4u2UvxR+LHiT/hFtKtMeRffY0vvP3EQt8kMysu10Qcrzvz0BNemfsW3/wU+JHiiXUvihqv9ofEjXdu608i5i2+Qk4+9DtgP+jKh7dMctmvev2jfglB8WtDbwdd6x9isBj+0Lb7OZPP+aJ4/mDqy7WTPynnPNAH58/te/Dnwd8QvA8+seCYfM8M6nt/sWXdIPO8uWFZuJGEi4lVvvYz2yK/OGv2S/bTfwX8MU8GfDTwxpf2KwsP7R/d+fJJ5W/yJer7mbLOe5xn8K/PH9sH4JeAvBmlWniHwvc+XqMfmf2smyU+floVi5dyq4Vj90c96+cymP8AZmPq5ba0HepS005ZP34aRSXJN3Su3yziuh+ucdVv9cuF8Dxhz82JXLg8ZeV5OtSh/s9d81adSX1jDw5ZS5IRdbD1nvNHz3RRRX0Z+RhUcf8Ax8Sfh/KpKjj/AOPiT8P5UASUUUUAFFFFABX3V+zN+xrpWn+GpBfap9nEmP7V1jyGfdh5fK/dCbjrt+X1ya+avhf8INf0DxbYXnie0+zbvN3t5iP5P7twPuOd2cj6Zr688D/Fn4yfsQeN7Gbx1o39o+Hb/wA37JbfaLeH7Tsibf8ANGksibZJ1POM4446AGDYan8Qf2MfjdY+E7eT7THpnm+Vp+Ik/wBZbFz+8Il/577up6Y47fUXxz/4JJfDj4sePJfFXw/8Wf8ACJM23zIPsE1/v/dRoPmkulxjYx6fx+wr1jxH+zZ8Ff2ndd8JftDQSf23p1n9v2jFzbf2jvUW3eRGh8tov7nzbffJx/20P2WdR+Ivwo0nxLoXjr7Na6P5/wBri/swP9q82eBF5aVSm0qTwDnPOKAPPv8Agqf+zt418b/AbQvHfhi08yz8L/avOuvMjG37TdWkY+V5ATypHAb8KZ+wR+2hoHg3T4vgX4ul/s7S9N3fYr7a839meYbi4f5EhLTeYzKOWOzORwMV59/wTA+KS/Bv4DeLb3X9R3atq32D+z7LyceR5V1diT51VlbKODzjHQZNeT32ofCv4g/H7wN4c15/tvh/SP7T/tObE8fneba7o+Fw64kUD5Sc45wKAP0W079kP9mjxF4ytP2ifD3hTyVfzPOuft1639pYjNsPlaUeT5eCOE+b9a72/wBEf/hDZNLurL+0NOjx583meV5uZMrwDuXDccdcV8l/Br4Vftx/stfEufwf4C8H7NFl2/abf+0NMPn4hd1+aRpHXa8rHg8/TGPvHV/A1jq2r33h+7sdtjf+V9mHmk79ihm6NkYYdyKAPhj9tX9m/Rbz4S6V8RPh9PssNB8/+xW2sf7N8+eCKbiWTdN5jbvvA7e2ODXuv7Bvibxx8Uvgj4U8W+Jbby7fWft3lnfEftfk3Nwh+4FMe0oOwz717va6PqFxZizv7P7Zbx/8ek3mCPzsnLcA5XBwOeuK1r/SL3Wb4G61LymH/HhJ5IbHA38Aj07/AIUAfKP7e/8AwTjt/j/Zv8cvgpaef4xXHn6d5hX+18m3t1/eT3CRW/lQxyNwvz9OuCfW/wBnr4OXXwX+GXhr4Z+ItV+2anon2z7Td+QI8edNJKvyq7L91wOGPTPB4r1LQ9Cgi1G7mtIfslwPL2ruMnkcH1OGyPyzVWHSYrLR75E0DYR5WYvtWfM+b1zxjr70AfBOp/8ABMf4oeDfBnij/hV3iX/hKNWl+xf2RcfY4LL7XiQeb8s1yVj2ozj5uuzjkiuL+Av/AATL+L2q6pY+I/i/b/8ACP2Debuj3293v+WResFzuGGCdv4vY1+i9040PU57mwucWer7dk2zr5S4PByepI7fjXL/ABk+K/g74B/DWb4l/F268q2s9v2hNkjb98yRLzCrkYMidF/qaAPEv2mf21/hx+zLfaReHwt/wkiXv2j7PD9ums/uCINz5L/89c84+778ef8A7enxQ8BeKP2TtRPhDW/MbxZ5P2FPs0o+1/Zb+338uo8vZhuu3d2zXzr+3Z+1J4J/aj8Uwa5oHgDyoRv+0H+1ZG2/Jbqv3ooyeYj0H/1/rz9jT9lvwrL8C/Dvxi1nwV5Xii1+1+Sn9pO23ddTwHlZfLOYsdV/XmgD5Gm+Ddp+zl8O/BPwP+IN3nX9Q/tL7Tp3ln935c32hf3kbuhzHKrcMMdOuQPk/wDa0+H2otcXXiNNO+yppOz7UnnB8+aIVXnd/IHr2r7F1T4BXn7V/wDwUA8R/wDCxLH+zkT7H/aEHmibbnSh5fzRSR5/1Knj156HPM/tm+GdKtfDN54MWf8A4SrQdN8va+1rHzfMeCTpneuJPc52ehr5mUaeS53GcbRpYl2fRKsrtPWVr1I3TtG7lGN3eR+x0auK8QvDepQqt1Mdky54OzlKeXycYVKd40nJrB1XCpD2lVRhRrVuWKjTSX5z0VY1XTLrR7+TTr1NsseNy5BxkAjoT2NV6+mPxwKKKKAI7r/j3b8P51JUd1/x7t+H86koAKKKKACiiigAooooAKKlsrK51C5Wzs4t8j52ruAzgZ7+wrodH+FfizVoTc22m7wn+sTzoxjJIHJb2oA561s7i8fy7ePcfqB/OvbPhf8AsxePZtGl8Qamv9n2ibftL5il35Z1XgSZGDjoO9fSn7O37MHgD4o+FLHwr4c8Q/2Kzeb/AGJP9klufteJJXm+VpV8vZsI+Y/Nu46V9GfAT9jjxXJ8ULTXPiav9qfY/M+28xwbt8Eip/qpuP4Og7c9TQB578B/2RPDmk/BV/iZL4g+zWV/j7da/ZHf7RsuZIk+bzcptJzwoznB9a8g/ao0qDwt4JvbEW2LzV/L/sJN5/eeVJCZuckDAP8AHjPbNfWXx0/aL0z4nePdW/Zz0y58p7PyPtkuxm+374o7pODGvlbNhHD/ADd/SvKv2R/2bvB/xM8ceGv2j73x7/akF99s/sPQ/wCy5IPtuyKa1m/fCRTHsKb/AJ0G7GB1zURp04SlKKScnd+bsld93ZJeiS6G9bFYrEU6dOrNyjTXLBNtqMXKU3GKfwrnlKVlZc0pS3bZ1/7QXw//AGPvH2pXPgrx9448jxb4X2fbLn+zNQb7V9pEcifLGwiTbEqjgtnvg5r53h8F+FPi/wDH/QPAngCL7ZIv2rYm6SPzf9E8w8yFduAjd+cfStj9vH4QWCftvak3xTl8nSv3P9oTbS3mf8S238viF9ww+wfL+PGa9Bvf2vf2fP2W/FQj+Cnwk827l6ax/b12v2vCf88p4pBHtEsi+/X0xZgcV/wVP8IfFHwV+0VrPxP0DTvs+kWv2f7FeedA+zdaWkT/ACMSxy7Ecr3yOOa97/aD8TaP48/4J3n4seMbb7Rq+u/6+83smPJ1eOFfkQBfuKo4UdM8nmvL/wDgr38brq78U678LfEnhjybHw59l/s28+2hvtP2hLKaT5FTKbWwPmY56jHSvZ9J+Dnif4yf8EybDwZ8PPDP9p6z+9+x6T9tSHf/AMToyP8AvZXVBhEZuT2wOSKAPk39mi58I634K8TfDvxj4g/ssar9i/s/Vfskk/2HypJZZP3SY83fhV5I25yM4xVH9on4U+DvjVZ6xa/DjVftupR/Z/OfyJI/NyYiOJWVVwsbdOuPXFcdrnwX+K3hDTG0nxdoP2COTGy0+1QS78MGPzo5xjcp/HFe1+CJPBmheENF0KKy8vXNX+07082Q7fKkZhzyhyh9R+Jr5viWjXp4J5jhpctbDqUldvlcdHOEl1UlHTZqSi1KOrP1rwgx+V4viKPC2dUvaYDM506U7Rj7SnV96OHr0ptpwnTqVGpP3oypTqRlTqXUT4O+J3wk1D4eRQkyfaI/m826wEz9zHy7z/ex+FcZX0P+1ZZafpGq61pmkWn2e00r7Ntg8wv5nmrCT8zZIwST3zntXzxXt4PFU8dhKeIgmozipK+9pK6vvrr3PzziDJsVw5n2LynEuLqYarUpScW3FypycJOLaTcW07NpO26WwUUUV0nkBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVrRNE1PxHqcWjaNa+dczbvLj3qucKWPLEDoD3qrXsPwM8G6fqXhkao1pl5P9dJ5h4w8gHGfbtQA34eeGbHwtrVhaW/74XPm/aLvlfN2qxX5STtxnHHXrX2L4T8LJ4Rtp7aK43tcbfNOzGdpJHc/3q+cPD3w8tNd8VW3wri1zy0m3+RqP2YnfhDM37vcMYxt5b39q+poLa3vJRbXVl9pjb70PmlN3fqOnr+Ffm/HeOqYnEYXJKc1H28o8+l2k5pQfRW5k20nf3Vqk9f6++jHwzhcqynOfEbGYd1XltKo8OvaKMZVI0ZzrJpJyUlTcIxlKLglVk1Gc4pw6z9lK90DxteyfFfS9Z2aVpGNl99nc7/NE0J+Q4YYdSPun14HNdZ4u+BWjfFL4a6UvhHWf+Ezm0jz/Js/s7ad9q82Zc/O7qI9oRjznOzHG6vm74ApBonhCH9n261PFh839nzeSf8ATv3kly/Ay0Wxjjl/m7eldF+yj8Rx+zz8RJvg74j/ANHt7Tb/AMJJN9/7buhmnt+FVzFsMgHyN82fm9B91lmXYbKcDDCYe/JBaXd3q7tvzbbfRdklofzPxlxbnHHXE2Jz3NHF168k5cq5YpKKjGMVr7sYRjFXbk0rylKTcnxf7C/jr9obR/2kNH+Dc/xD8rTtI+0Yu/7JtG8vzbO4n+6FLHLHH3j68dK+z/iV/wAFCfCnw2+P+pfAzxT4B+zafp/k/aNd/tWR9vmWq3C/uUt2Y/MwThj1z7V00Pwa+EHgf4lR/tIN4s+wQWeftsP2C4l8zfD9lTneSMFs8Ic559a+Uf8AgoB408Lat471j4m+HL3fZ232fZqnluPN3RW8R/dMMrggr93nr713HzJ7N+23+wdoHxq8aDxf4P1jyPFmqfe0n7O7f235ccCf6151itvJijZug8zpya8d/Zh+A/iz4T/s5fFXTp/Bv2XxGv8AYf2V/wC0Y38z/TJS3G9oxiN+/XPrWX+0x498e/GPR/DXw80bwn/aOo+FPtnkn7fFD9p+1NFKfvKqptVD1LZx2zineM/2p/jh+1daadpOg6r58tl53kXPkWy/aN5Vm+Voowm0Qkc5z/MA7H/gm5rHgPwR43g+N/xW8Zf2R9k3f2R/xLpbj+0N0V1by/6kHyvL3J95fm3cdCa8/wD2nPgn8RdD+NX/AAvHQvFf/CW6Vqn/ACDrv7BDYfb/ACraK3k+VnLRbGJHzKN2zIyDmt+P/gmf4m0uSyj+NHjD/hA01DzftEX9npqm3y/u8wXPOcoeMf6z/ZNdL+0Fd+E/2bPhVpv7OHgTxN/asNn539ozfYpIPP3zx3UfEm8rtMrD5X5xz1wADi/Dfxl1n4+aFb/FK9tvLs9S3/YfnU58tjC/REPWPuo9vWvhL9pnwLoPw6+M2r+GPCml/Y9Mg+z/AGSDz3k27reJ25dmY/MxPJ78cV+i2p/CvxB8BPgBptw+m+baXXnYi85F8vbdgddzlsmTPtXyB/wUR0bS9P1Dwxq1nabLq/8Atv22XzGPmbBbBOCcDAOOMZ718KqdXLOPHOTbhi4NK2ynTSvdX1tGOjtvOy6s/pipi8Dxl9GGOGowhHE5HiU5uV3N0MVOpyuEuSy56tRKVPn1VDnk7unE+a6KKK+6P5nCiiigAooooAKjj/4+JPw/lUlRx/8AHxJ+H8qAJKKKKACrejaRNrF0IEfYg+/JjO3g44yM9KqV77+yD8KtR1fxFDqV5pH2nTW3f2x/pATyPkmEXRgzbmH8PTHPFcePx2Hy3BVMVWdowTb218ldpXb0Svq2ke/wtw3mnGHEWFyXLo81bETUI6SaV95y5VKShCN5zkovlhGUmrI9z+DP7N0HgRo73wx4Q+164M/YNO/tAx+V98P+8eQo2UYtz0xgc1w6fHL4qQzz+D2f+0Zbvb9k1PEEPmbBvb93s4wPl5POMjrXtfwU0/wl8YfjTpniTwx8c/s9/pHn/wBm6Z/wjMj+X5ttIsn7x9qnKoW+YHGcDFeY3PimXwf8W9O8Z/F208/SdV877Va+Zt3eVb+WvzQgsPnZDwB6cjNeLw7gcWqbzDMLPEVUm9GuSGjVNJ7JbyVk3J+85Ncz/RPFnibIZYqHCnCvNDKcDJxXvRl9ZxCbjUxk5QVpymrRptylGNJL2apRm6cey/Za8T+K/wBnb47Dwh8adV8/wl4n/wCQhJ5Ea/avs1rK8fEAeVNssqdCue+RnH0r4w+FHwX/AOCeEWrfE3TPEH2rVdd8j/hDfD/2S5THkbYrv9+WmX7tyX/eqOm1cnkeKftBWFv8If2z7j4q3Xwk/wCEj8KnZ/ZOm/2+bPzv+JdHDL+8G6RcSvu+ZeduBwc16x8MP2N/jL+1R4jg+Lf7WnijyrRN32DRvsVu39oZR4X/AH1nNGYvLMML8r83Qdyfpj8cKv7Gf7TX7TP7QX7UHhXVvEml+T4Ssvt32pPPsm8vfZTqvKRpKcyxjpnH06/X9l4BtddN6bqTFnqPl/2gMHny/wDV9GB6jtj3rZ0XWp/HWuyR6e/NvjZquB8m5Tn90QM52lf1rQ8Nf8IfrTF9BP22Cf8A1f8ArI/u5z97B6g/lQB84/s1f8Eufhb8BfGY8U6p4y/4STVYv9Td/wBnT2f2LMcqH5Rcusm9JAOR8u3PU19XjwymseIk8RWtj/oF1nzT5v8AdTaOpDfeHpXzN+1D+3/pn7O3xOs/h5a/Df8Ata50zzPtVx/bDQf6yGKVflMDjpLjgnp2zgcD+2P+3rYxfA628H/CrX/+EetLnf8A2jc/ZTd+RtuYHj+WaDLbjvHynjdz0FAH194v+LPwz+AmjweJPi34t/sew0ndmX7BNceZ5rKnSFHYYaRB0Od3bBra+G3iH4b/ABo8Jab8R/hjqf8AafhzVPO+zXfkzQ58uRom+WULJ/rEccgdM8gg1+b/AO2t8ZvEnxA/ZM+HkvxEvP7b13T/AO1v+EkuPLS2+z+ZfwfZ/liQI+5FUfJnG35uSa674LfFX4xfBj9oKL4XfEjTv+Edk8Lbv7Q8Pedb3fn/AGm0eaP9/ErbdodX4Zs7tpxgigD6L0L/AIKY/s5at8UNO+HkC7LB/O26xm8Pk4gMv+q+zbmyw2deOvtXO/8ABXf4/wDxi/Z68DeF/GPw81bydJ/03/hIrDyLdvtX72zS3+eWN2Ta8jN8g56NxjHyd8QfBniHxumkftc+APCu7RtM+0f21dfbkHl+ZtsoflkIc5dWHyxnHU4GGrsP23/22NE+JvhrX/hlp8+NS1P7L5tntb5vLeCUfOYVUfKhP3h6cnigD7j+DHjXW/jZ+z14f+IPiey+03l79r8698xU8rZdvEPkRVDZEYHAGMZ96+Uf+Cs/xU8B+J/HOm/CTUvD32668Jed/aEv2uWLZ9qis5o+AoByABwzdOcdK+tf2eprHwZ8IbDQNQh8+98P+b824rnz7iRu2R91h3P4Vzv7Vn7Ld5+018JZNA8RaBu8TaLj/hGda+1AbfOnha4/crKkZ/dRBPnJ9VweoB8e/t7/AAw134ifsqfBzxJ8E7X+0tB0T/hIftOq71h8rzr63Rf3U7K7ZkWReAcYzwCKoaD/AMEZfF+oeHtY1Dxto/8AZmp3n2fy7D7RHP8Accg/PHebfuhW/HHUV9hfDK6vf2Dv2OrOy8bj7ePCnmf2ueIvK+1ag5i/1fm7s/aF+7uxjnHb59/ZI8aftWftHa74b+PmtftJ/wBq2lr9s/tXTP8AhDrGD7FuWa2i/eKEMm8xBvlX5cYPXJAPKbb9mPxH+yT+z58T/Dnx20L/AIR6T4hf2L/wjGg/aku/N+wXe65/f28km3HnRv8AvCmd21d2Djxb4M6vpXjX4cjwxLPsuLT/AI/Y9rHy98zunOADkL2PHevtn9s/9lTwj4r+KWr/ALT3xv8AjV/ZHw/svs/m2X/CNyXH2HfBBaD57eUTy77gRn7h27sfdBNeOfF74T/Cvw7q8nxF/Z813+1vCms42TfZZ4Ps/kqkR4uXMj7pTIOgxjuCDXznFNP/AISvrKp88qEoVUr2+CSctf8ABzdH5Jux+ueCeL/4zhZPUxP1elmdGvgpz5Paf7zSlCkuXf8Aj+xd04bWlOMHJn5lftD6Nd6Z8UL+4ltPKhn8ryD5gbO2CMN3z1PeuHr0n9q661uL4y6n4b1W63x6f5PkJsUbPMt4Wbkdc8dSa82r6CnUp1qanBpxaumtU09mn1TPyvF4TFYDFVMNiacqdSnJxlGScZRlF2lGUXZqSaaaaTTVmFFFFWc5Hdf8e7fh/OpKjuv+Pdvw/nUlABVnSNI1HXtRj0rSrfzbiXPlx7wucAk8kgdAarV6f+y9pnhufxXca1rcu2ex2fZBtc53xyq/3TjpjqD7UAfQP7FmrXPw3+LVr4Fs/D/2i3td++X7WEzugnkHBDHq2Ovavpj4sfHH9ov9mv4mf2t4ps/+Eh8Cv/x4r5lpaefiFFflEeZcTyjr128fKePBP2mPhV8SP2cfHU/xQ+GjfZdJuNvmW+IX83bFFCPmlZ2XDysfu859MEep/wDBNDxR47+PWi+JPAfxJ8N/2l4Xtvsf+j/bIofse5rqT70QSSTfLGp6/Lj0JoA+x/hxqtx47ksPFXhC9+2aBfeb5t55Yj27NyD5HAc5kVh0HTPSug8Nh9Ze21jxZ4M8m60nf9ik/tHd5fm5V+EwDkAdc47YrB+FHw28IfBrRYPAfwoi+zafdbvIG6R/I2s8jf65mZtzO/U8Z+gr1TR9NfRr618S3Ooedbw7/tT+Vt6govAJPU9hQBWtNCSG4ube/v8AyJhszd+Vu87jP3AcLgYHv1rub7wfqWna0muafB5kS53WW5R5OV2/fJy2SSenHSq/hPwvZ31uml3ei7o7bOW+0keVuJPY/Nn9K2vDNhqmpzvqesxbJoMfYZ9ynbuBD8LweABz+FACaLpt/e2CaRPL9niizvXaH8/JLDnOVwfzzW/aaZY2KJHawbRHnYNxOM9epplpFpujpBpFqvlq27yY8sc4+Y8nPr3rFt/G15ZakbHxVpf2CW5/5B1v54l83aMyfMi4XAwfm654oA3Lq4WRzYwXnlTt90+Xux3PXjpTZbmzkvbX/SMM+/yl2H58Dnntiuf8Eanqc2r6ho2s3W++0zyv7QuNij7T5is0fyqMJtXA+UnPfFU/Cwt4df8AEvgi+ud+k6X9j+y2uwjyvMQyN8w+ZsvzyTjpwKAOjs9Z0jXSL7ST9peD/V/eT73B6geh/KtC2lgnhWW3bKHO04Pr71x154p8O3GrzldO89l24m851875fTHy46e9Wru2g07xTpmnibzDrXnf2g+0jz/JTKcfw7c9sZ75oA83/aj/AG/v2bP2M7c2Xxi8W/2bdyf8gyz+wXk32rBiMnzwQShNonQ/N1zgdDjrP2av2nvhB+1x8NYPiT8Itf8A7R02fdub7LcQ7ds0sX/LaONj80L9u3oQT8lf8HBf7PekfEf9lS2+PV/4o+yz/Dff9l0z7Ez/AG/+0L7Trdv3gkURbAoblX3Zx8vWvzl/4JZaN8VNY/bO8CeFPgl8Xv8AhEte13+1PK1j+wIL/wCyeTp125/dXBCSboxIvUY355IFAH9B90iJaMgk8tRj5sZxzVMxQ2unzWOsQYtItuJtx/eZOei8jBwPerz3EMTbGbn0wa85/a3+F2vfHD9nbxB8NPCbf6dqn2T7OcL/AMs7uGVvvso+7GepH49KAPiT9rDxZ8fvh5+0qniX4m+Lf+EP07Vc/ZdQ+wWuobvKs4Ub93ECw+ZkXkD7+ecGvrP9mub9rGK51nRP2qtA+1WkH2f+zPEH2qwTz8iVpP3Fnyu0+SnzHnG4d6+MPGXwY/4KB6t8DF8Jx/D3+09DbP8AZsf9raVD5f8ApSvJzv3nLj+I9uODX13+xl4C8f8Awk/Zn+Hfw/8AjXqP9keJ7H+1/tdn5MVx5m+9nkT54GaMYieM8E53YPIIoA0Pj/8AEP4O/D/4bS/FPxlpubeyx9kj86443zRwtyik9WXqp9vWvhi8+D/xZ/4KZ/G0eKPHz+T4Qh/1d7iBvIzbbD8kbwStma1UdOOvTOfq39pr9lTwd+0Z4u0bxR4y8V/ZrDw59p/ti3+wyP8Aa/tEcSRfMkqNHtaJT8oO7POO/mv/AAUy+KOk/s1fAG0+EXwi0/8Ass6j5n2eLzWn8ny7q1mbmZX3Z81zywxn2AAB8L/tw/CrQ/Gmgqvgey/4SIWWfsHiLzGtPs29oN/7iRhv3bWTnONu4da+Ha/TvUPgB4Y/Zs+Hvgnwmlr5uqeIP7S/tG+3uvn+RKHj+TzHVdqy4+UjPU5PT89Pjr8H9T+B3xHvvh9qV/8Aa/sflbLvylj83fDHIflDvtx5gHXnGfavn8kjUwVStlsr8tJpwe/7ud+VXcpO8HGUNbe7GLtqfqniRVwvEeFwHGFFxVTGxnDExSStjMOqarVOWNKlBRxEKlHEPl5/3tWqnL3Tj6KKK+gPysjj/wCPiT8P5VJUcf8Ax8Sfh/KpKACvRfBGreD5fBlvo3im0+Yb/s7+ZJ837xmbhBxjjrXnVd3ceGdMj1G28MWR3N8++f5hs43j5Sec9OtAGzpmka1aaBJd+GNJ2Wr4/tJ/PU/acORHw5ym05+7171v+HPi7oUGjQafrmj+ZN8322b7Qw+0fMSnCphNowOOvesf4c/EXS/7CstE168+wz6b5n2a48tpfP8AMZmb5VXC7Rgck5zXUeGtN8H+P9a0m88SXWI7j7RmDZJ+/wBqkfeUjbt2g+9AGr4Ds9L8T/ZZ/Gfw2/tLRfn/ALMH9sND9k+95n+rw8m9wv3vu444Ne+eFfgX8BvFOieJb7Sv2hv+EQ03Rvsf23Qv+ESutQ8nzmIT98XDNlgX4zjfg4ArkJ/G/iHwfq9no2iD+2p77zP7N075Lby9i7pP3jKQchi3zEY24HWsPwzBqPjDwqfGXi2TzNF8S/8AIYtMAbfs8hSL5kw5+dVPygehyKAPqXQ/i54LuNU8M+H/AIDRf8I78EdP+2/2nrW6S7/tDzFLR/ubhPtcXl3vmJ8pO7dk/IBXmGseM/Amv/D+x+Anwa1r/hJraz83ybf7NLZb98ouT804BGCHPLfwe4Fe6fs3f8E8/id+0jpkfj3xPf8A/CF6BLu+xJ5UOo/2hhpY35S4R4tkkQ6j5t/HC5P6D/CL4J/DH4D+FI/BHwp8M/2VpcOfLtfts0+MyPIfmmd2+9I569/QCgD5u/YK/wCCeur/AAV061+KnxbuvJ8ax7/7Gstit/YGTcQzfPDcNDdefDIh+Zf3fQfNk19LfDb4RfD74QeHIfCnw40D+zbC33eTB9qlm27nZz80rsx+Z2PJ7+wrM8c/HvwL4I0XV799R+13Oi/Z/tlr5MsePOZQnzeWR0bPGemDiq2jeM/EHj/WF0278O+VoepZ+yXf2tGz5akv8oAf7645x6jigDuNV1fTtFtTe6nceVEvVthbuB0APciszR/iR4L16Hz9J1nzU9fs8i+o/iUehrz/AOJ3xw/ZV/YtnsI/iR4n/wCEafxT5v2EfYr68+1fZgm//VJLs2+evXbndxnBx5T8ZP8AgsR+yv4K+HN340+EWtf8Jtf2/l+Xo/2a+03zN0yRn97NaFRhWdunPl4/iFAH1L4j8OaN4s0abw/4gs/tFncbfOh8xk3bWDDlSCOQDwe1eP8Axx/4J7fstfH3xVqfxE8b/DzzfEuqeT9p1j+1r5c+UkcS/uo7hI/9XGq8AevJ5r5Z+Gf/AAXe+BHxH197P4oeFv8AhWTNjZ4h+3XWteT8jk/uIbFd2dqJ7ebu/hNfdPwV+NHw7/aC+G+n/Fj4Va9/aWh6p5v2K8+yzQ+Z5c0kL/JMiOMPG45UdMjIIJAPgi7/AGZPi18A/iFpnwR+Kmq/8Jnb3fnf8IL4i8iDTvtu2L7Re/6PDI5j2GRE/et82zcn3iK+RJb3UfhH+0P4gtPHHg/fqMP2Ty4v7QA+zZtMnmPcr7ldT7V+rf8AwUy+CXin41/sneINK+Geg/bvGFt9k/4R7/Ski2br+1M/+tdYjmGN/v8Ap8vOK/LH4gaxovxn8ZeEv2kLvUft/wAR9Z+3/wDCVaX5LReZ5Ma2tt+8AWAYt03fu0GcYbLc0AbXgvwv8Q4tXvtOvZ8Na+Vt1DbD+93Kx/1YPy4+779apeFNNl8UajfW+o+E/tPw88QeV/Z+h/b9nm+QCZP3wInXFwA/OM4wMrUkgH7Qsl+vhnwx/ZHhnQfK+2RfbftG3z/ucvskP7yMnjP3ucAc5mrnwxN4N/sLST5VrZf8ew+dvvyBm+9z1z1JoA5r9nLwvq3hzxBrPwk+KHinZbab9n/s+H7Cp3+Yks0nMJJGCUPLH27ivqP9h7w9B8RfGPxL1Xw6PKh1T+xv7Ot+W83y45xJ8zFSuCpPzYz2zXlVj488daqlj4e+HGr51zUvN8/T/s8X+jeX8y/vJV2PuQM3BGOnXFfQemeNfjp4U0C7/Z3+BXwy/sXRfDHl7NY/tq1ud32lzcn91cKXHzmRPvt97PAAFAHkXwF+DOp+LP2UY9T0W78gHPz+WrbP9OkHRnGc4NXv21v2bfDeofGLwN4cXU9ot/7T+0S+S5+07reBl48z5NuMcHmpp/gHcfs+/CH4p/Arw1r39ta94C/sP+wtY+yi2/4/rj7RN+6eR0/1chT52b7uRtJwPaPjpYWX7TPwm0743fD+z23P777JN5hPmfv47duJNgXAiYcrz27EgH5E/E3R7iPSr+08TweRqWkeV5cO4NjzWQnlDt+7g9/wNeb19M/H/wAAzeKfEVz42n+HX2O3t9n/AAkkP9riTytyRx2/IYFskZ+QcZ+avmaojUpzlKMWm4uz8nZOz7OzT9Gn1OithcVh6dOpVpyjGpHmg2mlKKlKDlFv4o88ZRurrmjKO6aCo7r/AI92/D+dSVHdf8e7fh/OrOckooooA9I/Z78PaZN4gTVdfstsTZ+y3vmMfK+SQN8in5snA56da951fw3oviuCfxd4KufMeLbiy2MMZIT78hHox6e1cZ+yR4j+H3huyUfEuz+06G2d/wC8lTzuZsf6oF1w5T649M19Bxf8E3/HHxOstC8b/sv+N/8AhJdAl+1eZ4i/syKzxg+WP9Hu7hX/ANYkqdP4d3QigD1f/gnN+1j8SfGXxQ0T4JeLrv8AtDTNS+0/6T5cMX2fy4Lm4+6kQZ9zKo+8MY9OK+ztVuH1iKDWJZvs8R3fZJtu/wA/or8cFdpGOeueK84/ZH/Y98Lfsy+Ebr4X3XiT+1tR1XZ/aV59jeDd5Uk00fyCZ1Hyy4+Vh0yc5wPorwdpieHJxp9np32SE/6iXzvMzwxbgknqcc+tAGD4X8F+Ib/VDol/YfZ/sn+qHmo+zcpY9DznA7967bQ9Ok0iKGG41TbCu77RaeRnb12/OMk8nPH0rSutG0qS1nkvtP8AOlj2+cnmsu7J45BwMD0qe0fULi4aSS38yWyxsi3gbt4556DjnvQAzQ9Bg0+yEWkS74p/+W20jy8E9mOTkkiubi+M3gnxto+o2/gXxV/aFzpfk/bYfsMkX+tbKcyIB0VjxnpzisL4v/FnwDo/iODRbL4jf2Hf6Fu+23v9kS3P2PzkRk+QoVk3qccE7d2TjFeB6/8AFe6v/D+paP4b0r+zLTVvJ/tGLzxNv8pw0fLLkYIJ+XHXnOKAPqXX9d17SPAMPi7xDdf8Iolpu/tCx2Lfbd0oSP51Bz1B4H8eD0rndB+MfhG21BLDwBp/9u3Vzn7Rc+bJa52glflkTHTcOP7vuKrWvw6+J+kazb/FPxf4m/tC+03fvsPsUEX2vzF8kfOjER7VKt905xj3r1uWytp7mK8lizJBu8ptx+XcMH68UAcd471j/hZHwbutW+G2j/8ACQ/bdn2K0+0fZPtGy4VX+aULs27WPOM7cDqKx/hb8bvEc/hW+vvjd4U/4Ru60vyvtLfbkvPM8x3C/wDHumBgeX0z97tg131xDqypdx2Fxj/V/Zl2L8n97r1zz1qOF7TTrW48S3GnfZ57nZ9qXzi+dp2L046HsO9AHwT/AMFhv2rv26/2OvEOleMvgl4/+xeENV8/zE/srTJPsflJZIObiKSWTfNPJ2G3PcYx6l+xD/wV9/Zw/a5h0Twdq19/wi/xB1v7Tt8IeVeXuzyfPf8A4+1tI4Dm3hEvUff28sOfbfi38P8Aw1+0H4Wv/Aem+MPsdvqXlf2qn9nvJ5/lukkXJZCu0xn7pGc8+h/nX8UfCjXfA/iW7+FPjnRP7I8V6b5fnWf2lbjz/MQTD542Ma7YmU8Mc7sdRigD+m5I5IZQqDdGeg6bP8c1D9ogGpLGk2xpM5XaT5mB+mP1r5x/4JAfFDxF8W/+CffgTxb401r7frU39qf2hP8AZkizjVr1I/ljVU+4ij5R255r6Su3t3dLK5XImzgZPbntQB8e/wDBXbX/ABV4T8MeENf0y72WEH9of2lL5aHZuezWPggscsSPlH1qpq//AAU2+GunfCw+Ivh/r39vaoP+PS9+yzWv239+Fb5JLbbHsUsOR823I5Irlv25/gV8S/i1+2JaeDY/32m+J/M/se3/AHK/8e2n27y/NvVvvJn5ivtkV8xfsd/s+/Bv4rfECf4eal8Nd+q3G37Daf2zcDdtinlf5hIqjCoDyfYc8UAYXxF1n4Va7rllafCr4Of2Nq0/mfa73/hIZ7j7qqU+SYBfuBxx/eyeQK/SL4reP/Cfwk8Iar8UvF+teb/Znkfarv7NIv8ArJEhX5EVv76jhT68da+dv2CPhknhabV4/H3g7F34L+z/ANg3f9ofc+2C48/5Y2IOQVHz7vUY5r2z4j6V4O1Pw1H4C+Klt5ulXmfNs98i/adjrIPnhO5NrBDweenTIoA+Zv2Y/Dnxf/ak+OM/xb8X/P4b0/b5K/6ON++2lhP3DHIMSRL1U/lyfnf49/DC2+Pfj61+Gmg2+V0nf/bMe8/6L5sUcsPLMm/d5Z+6xx3x0r60/aa+I3iP4ffDvRPhz+znB9m0/UftP2iTcj+T5c0Uq8XSlmyzS9CMZ+grhPA/7L/xM+AXgDVviz48X7B4jfyP3WYZfLxK0PWOV4zmORT93v68jxc6p06VGOPsnLDtz8+WzVRLrdwbcVdJzUOZ2TP0Xw5xeKxmYVuFlUkqWaxjh2k2oqt7SM8LOS1XLHERhGpLlnKOHnXVOPPJM/K/4ieDL34e+MbzwhqLZms/L3nA/jjVx0JHRh3rFr6P/wCCk3w/8KeGPita+L/CVz9pg17fm82SJ53kQWqfcdiVwSR0GcZ5r5wr16dSnWpqcGnFq6a1TT2afVM+CxeExWAxVTDYmnKnUpycZRknGUZRdpRlF2akmmmmk01ZhUcf/HxJ+H8qkqOP/j4k/D+VWc5JRRRQAV1vwh0LxBfeIDr2haX9rOnf62Hz0jz5iOo5Y/U9D0rkq+t/2Zja+GvhLF4l8MR/2nHp+77bLkw7/MnlROHzjGSOAenPWgD2P9nP4J6H+238PL7wT4QvP+Ef1jQvK8y88trv+1/PmlkHyO8S2/lJAw6nfuzwRz9B+Dv2c/hR46+Cdp+xV8V/jR9m8WzeZ/wj9r/wjk7/AGHFy1/P80Mgil3xKh+eT5c/Lzla+a/gf+3Z8TPDur31jqHgP/iRan5X9s/8TSHjy1kMXSAv98j7uPfIrmvhB8DvAP7QXi/X9F+FTf2v4pk+yf8ACM2eJbf7TiN2uPnmdI02xRufnPO3C8kZAPoL9iuLxj+zZ+3ja/st6R8QPtXh3xBv/tmX+yY0+1eRpc93Dw2+RNskpHyuM45yOB0v7YXjf9qXx1+1T4m+AXwq1v7VaaV9i+w6R9msU3ebYw3L/vZlBHKu3LHpgY4FewfsGfDk+N7J/wBpzxh8PvsOv+I8f2Nq/wDa3m7Ps5uLSb90jBDmNVX5kHXIyea9s1r9nbwBF8aPDH7TF3FsvdK+2/2zf7pT5/m2wtIfkEmF2r8vyoc9TjrQB+bH7TX7IHiv9mz4ceAZPiVaf2drniT+1f7YsPMjm2fZ5ovK+eKV0OUlVvlx1wckHH2x+x/+w58Gvh9ofh/4ia9FjxFcfa/M+a4+fa00Q+7MYxiNh2/XmvpHS7i8trk3Vlffbxff8g/90IvuAiTr/XHTir/iLWLTQfD48W3Q+1tZfcbmPdvcIegOOvoelAD4LfxHeWsEz3nkyru3N5aNjn8ulZPiDUvB/g3w7N8QvFGpfYNKt9v2g+TJLs3OIl+4Cxy7DoO/pzX55+Pv+CsH7SNz8SjqvhKT+y/Ca/6yPFnPt/cqBy9r5p/e5/P0Fd18T/2t/G/7Qvxs1L4B+G/GP2Dwjqfk/YG/s+KXzPLtkuX+9EkoxLGerDrxkcEA+iNR/bz/AGbND+EUXxZt/EG+CHd9mtvsl4M5uBC3zGAnqc8r/jTdV/bV8HXn7K97+0J8INM/ti2sfL3WnnyW+zffC2+9PDk5O8/cP3cdwa+DPib4P8D6sdQ8DfDn4jf2ho8PlfbfDf8AZEsXk52SJ/pEp3tlw0nB4xtPGK534UfFH4n/ALH3hqw8DtpHmJrfm/ao/tEA3+S7yLztkxjzuxH49gD7X/Zt/wCCjdv4mstPHxc0z7NHqPm41zzi+7yzL/yxhtxjkInbrn1rpPgZ+3ZpPxG/aT1L9nvU/wB+J/J/4RzVPmX7Zts5Lm4/diBfL2bQvzv83VfSvkr9oD9m/wCHP7PfwS8O+O9Eg+w+ItQ+15k3TS+b5dzHH0aR0XEch7DOfXp7b/wTW/Zn8Y+FfGmq/Gr4q2+661DyP+ETvd8Y8/y47qC6+SGQhcAoP3ijPVe5oA+rm8LaxrMd1D/av9nQPs/0TyFm8vH+3kE5Iz+OO1fGH/BXTUL6fwd4F0PSLP7Jo0v9qf2zaeYJN+JLNofmb5xh8n5T3weK+3J7UPrdmus6jslm8z/RvJz52F/vL93AwfeuJ+N+ueOvht8OvEXiLwN4d+13UH2T+zbH7XFH526aNZPnkDBcBmPzDnGBQB8t/wDBP74j/wDBP/x58Trux+A/wn/4RjxPF5f2eD+3tVvfNzDclubhRGuIlkPPXf6gVz0v7WviP4j/APBSm7ntvE274c6T5f2gfYkHkebo3y9YlnbdcL2zj2Wur/YH/Zk8XfAKDxN8Yvj1L5fiHXPsX2WHbGfsXkm4gbm3kdJN8ckZ5Ubfc5NeGft0fsDeD/AIvPj38CtT+z6ZbeXv0ryZH+y7vs9uP3txOWfczSN93jOOmDQB9R/s/wB5+yP8TvHHjDWfgvffa9Zb+z/+EjvfKv492IpFt/kn2oPkRx8g7ZbnFfFGj+HfhDoV5caB4I+Nf/CeaZFs+0aZ/wAI3caX/Z2QWX95IS03mMWbg/L5eOjVzn7JPx/+HfwR+GPivw74g1byZfEn2H7fb/Z5mz9nmmZPmWNu0gPBHvmvP/gbZeFz4wsNb01fs97eeb9qt8u+dkcir8x4+7k8DvXz/FFCVXJKtSDUZ0l7SLsnaVP3la/V2cb9m9GtH+qeC2Z08D4kYHCYiEqmHxsng61NTlTVSlil7CSk46uMXONTl0vKEbOMkpR+cP2k4hB8ataiBzj7Nz/27RVw1ep/tg6FZaH8atSS1bLP5O/g9raHHUn1ryyvaw9elisPCtSd4ySafdNXT1127n51muV47JM0r5djYclahOVOcbp8s4ScZK8W4u0k1dNp7ptBRRRWxwEd1/x7t+H86kqO6/492/D+dSUAFFFFABRRRQAUUV03wx0ywutWfUry82taY8u28snztyuD8wPy46+9AHR/C/w3pfg6+j8R+MbDzJBnyIvNYbOHU8oTnIZTyK+8/wBj39lXxV4n+Hc+my6D9g1TTtv9sz/akl+1+ZNMYePNCx7VGPlznPPNeEeBtD1T4oXVto3jT4Tb9Gm3/brn+3lH2XAZk+WMq77nRRweO/FfYnwgttfm+AfxLm8IHbq8f9jfYZPkO3N0+/h/lOU3dfw5r5bF8QulxRhspo2fMpOfVr3XKKVno9LtNfC4tbn7VkfhQ8Z4L5rx1jnOHsZ0oYZLSNS9WFOtOSlD3oLnUacqc1+8hUUl7tn8sf8ACoo4fjIvhzwf4e/s29us5sftfneTtt9333fDZXcevGcdq+tP2lf+Cg/iH4S/tG638Nde8L/23oenfZvM0z7alt9o8yzilH7xYGdNruG6nO3HQ4r448S/FDWvB/2bxDp2vf2Hr3hPf/b7fZVufK+1YWDqpRsxsfuBsbucEV7l+0ho+gftDavJ4o8B6x5V6cf2nafZ3bf8sSR/NIUAwsbH5R7H3+pPxU9y/aA/Yn+HH7ZXhZfjx4Jt/tmr6nnEm+aP+1PLeO36STRrB5aQN/CN+O55Pg//AASe+APws8D+OPF/xL8ZXO3VvAv9n7dR2TnH22K8i/1aSFfuMq/db1+U816b/wAE0/jtPofim1+Gl6PPOt798nC/2d5KXUo4CHzvMz6jb79K7D4V/tD/APBOH4R/FvxW/gxcya19h/tRM6x+68m3fy+ZI23Z3t93GO+aAMH4a/tE/DT/AIKLalafA/8AaN+Hf2PUl8z/AIR9v7Xmk+05Vrif/j1jhVNq20X325z8vOQeG/bO+D/wS8D+FPDnhr4En7FHF9s/t9v9Jk87MkDwf8fDnbjdJ9w8557VxH7OfiLQP2Xfi14u+Ot7rOLLwt9g8t/s7/6J9pgltzwBIZNzS/3Wx7dRg/DTwTD8f/j3qXwM+HkGzQtb8n7Za7ifs3k2rXCfNKyO+542PDDHQ5GAQDqf2/fEsHjbwtf/ALNnwmtvt1lpvlfZNb3mL7b5j29037mYAx7GV05c7sZ9BXqdr8W/jN+xB+xR4U8N6he/YfHni/7f/Zsvl28v9mfZNS3ScBJYZvMgnA+Yrszxlunn3/BPxWu/21IvGPgyx+1acN32q783Zj/iW3KL8knzfe3Dgds1lfHTWbT9ub4zanF4FmxcN5P9m2O0/P8A6PH5nzyCIDAt2PzfQe4Bx2r+Nv2o/wBtr4ZWmjXsn268Pmf2Nc4sYvtP74NN8oWIJtEGPmPOOPe58K/CPxC/aF8f6hoV14V+yWNn5X9tj7dFJ5e+J2h6FCctH/Ce/Pv3Pww/ZO+JPwW1O88efFTxP/wimheGfL+wyfYob77X9oV434hlZ49runUNnfxgA1p/t+/ta/DzxtpsGheFvEX9l6FHu/4SG4+yTT/bsm3aD5XiDxbHUj5D82fm4FAHyl+3nq2tax4U8NLo8H+h3n2z7Uu5eNklvt+8AeoPSvlOvub4laF4L+J3wDurTUL/AMma02bLrypG+z7rpSflBUPuCAe3WvhyeCW2lME6bWXqM5r5vhdUqGBq4OnBwVGrUhZ9uZzi1dttOE42b331Vm/1rxkq47NOJMJn2KxEK08wweEruUGvjVGNCqpKKUYzVejVUoR0jotGnGLKKKK+kPyUKKKKACiiigAooooAKKKKACiiigAooooAK9t+DXxZ8GeE/CNrB4v13ZI3mYj+yyHH7x+6IfVa8SooA+p9D+INh8S9fsNf+H2ub9Q0HzfIf7MR9n89CrcSKqvuVW6g49uK9y+LHiXQPBHhO1v/ABJqHkJrHmf2X+6dvP8AKkQSfdB27dw+9jPbNfnNW/8ADCPwNL45sY/iTceVop837bJslbH7p9nEXz/f29Px4zXhZnw9gM1x+HxlVtTotNctlezUkpXTbSa0Satd9z9M4O8V+KOCeF80yDBKE8Nj4OE1U53yc0JU5TpKM4xjOUZJSk4yvyU7q0bHu0fxWk8WfEixsdE/1w83yn/u/ucnhlAOQDXoHipfGfhbX9L8ev4X+3aWfP8A+Ems/tscXmfII7f5+WGGOfkHOMNxzXjv7LXwbufEt2Ptth9o/tH/AFcfmhNnliXPIcZzj26V9Z/DPSPhr8JPAWteM28P/bNP0T7N9n0H7XNH/afnSvG37/LND5bPv5B3Y28V7p+ZnN+IPiT8Yv2kdAsLPxVe/ZdP0XzfNvfLt38vznBHyIqMctEB3xnPHfgfjH4G/Z40Mabbar44/tK/tvO/tVP7Mu4ft+7YYuQxWLYpH3fvY5617X+0P8eLPU/gX4S1P4cW39kSaz9v+0W+83GzybqML80qc5AY8Y+93wK9U+DH/BOnwz8MvCzfEv8Aac1j7Herj7TZfZ3k8rLvEvz2lwwbKvEeF4zj1NAHBf8ABMz4T6frOkWOr/FD4c+ZBpvm/wDCQah/a5GzzGulg/dwsCckIvyZ9T3r1Xxlrnhf/glxpFz4e+F/h/8A4SHUPEOz/hILj7W9p5HkMrQfLKJ1bct24+QjG3nORg+L3/BRLwT8KNMm8H/A28/sfR9C2/ZL7y5Lj7f57I7fJcW7NFsd5ByTu3Z4AFfM0Hh/48ftQX1k/g3SPtJ8T+Z9lt/tFqn2j7MPm+ZzHs2+Ux525x37gFr4zfHTRv22fjhdWZ1z+yhJs8tfszT+Vi2Qn+CLdnyPwz7c+o/Bz9kDwb+zJ4f1T43/ABN17z/DuleRui+yyL/anmu9uOYpXeDy5JUP3Tv9hkj0/Uv+CQ/9ueArGz174zfYLyDzd97/AMI75vkbpQR8i3YDbgAPbOa47UtX+CX/AATjsvE3gDV/G3/CZ6nqH2L+29P/ALNudO+y+WRJD+8UTK+5bkN8pGNmDy2AAeVfF7/go9418S+PLHQvC3gv+1rnT/N3x/2jHB5PmRIw5e3AbIB7nGPevO/20tOF1+z/AK1qLT7Ta/ZsJtzv3XcA69sV1/jbxn8GvC3xO0rxn8KI9nho+f8A8I5Z5uD9k/crHcfPMDJJukLn5xx0XjFYv7VN1pVh8A9fvtb0X+0LWP7L5tn9paLzM3UIHzryMEg8dcYr8/4tr1cNxDlM6bs3UlH5SdOLWvdNr8tT+p/AnK8Dm/hPx1QxcOaEcNSqJXa9+lDFVabumn7tSEZW2drSTTafwRRRRX6AfywFFFFABRRRQAVHH/x8Sfh/KpKjj/4+JPw/lQBJRRRQAAEnAr7S/Zrtb3wz8G5PiFodn/aP9p4+zaP5gh8ry7iWJv3rZ3ZyW5AxjHPWvjKysbrUbpbOzi3yvnau4DOBk9fYV+g37HPizw74E8CeFNN8YXP9m3N19u+ztsebZtlnLcICDkMvX19q+c4jo1cXHC4WNuWpWhzpq6lCKlUaej35Pns3Zs/W/CTMcDkVbOs6rKaq4bAV3QnTk4zp1686WEp1E1KPw/WHd3fKm5RTnGJzOiatoH7LP7YMN3qOoedc6Xu+z3HlOvm+Zp5DfKBIFwJgOc59u3LeM9a8IeP/ABcmq+BPB+JJs+ZZf2hJ+4xGoHzyAbt21j7dK7L9qP4W/EGb9q9Z08L/AGyHXM/2LL9uij+2eTYxCbjdmPYePmxuxxmvvH4LeCf2f/2dfF2lfBTwlaZ8R6r5/nXXmXfzeVG84+V2eMfu5WHDD8TwPoz8kPU77xZoPh3U5TqOpfZYLfb9tPks/wB5fk6AnqR09ea+S9T/AOCt1jrXxLt4dD8MefpS7/8ARvtpXzP3I/ia1DDDAn/61emfHf8Aa98Pfs0x2Ohat4e/tjV7vzftVl9re38rb5bL86xOrZSUHg8bcdTx8MftCfEL4C6wyL8BJ/sviCxz9g0jbdPu3+Xv/e3KhB+7Ejc564HOKAP0S/a5+ND/AAA0TTfCfgjWP+EeuvFHneT4r+z/AGv+y/szQuf9FkRxP5okaPkrs3buccfFHwJ8c+IvhV4Qs9R0X4i/YL3UvM/tbTf7ISXz/LkkEX7xlYLtVy3y4znBrhPiD471rRLKax8XfD3zf7U2/Y3/ALWVfs3lFS/CKd+7K9cY7Zro/AOp+A/hTrVh4h8WeGP+Ej8CJ5vn+E/tstn9qyrKP9KQNMm2dxLwOdu37poA7/40w+Fv2hPidrXxE1vSv7PXVvs221895fs3lQxxfeXZv3eWD0GM456nznxBL49j8f2nwy8daR/wlHhGw8z+y9F+0RWO7fEJZf30f70Yl2v8zH7mBwcV0uh+D/DXxF+LmkeCPAfxy/4TnQf9I/4R3xP/AMIy+mbf9HMlx/o0hVz+8Vo/nP8Ayz3LwwqxPe6f+0b4zmOh3G2/l2+WNhPk4j5+9sVsrEfp/MA2PDepatr3gvwp8C/Cvib/AISjw3oP27ztf+xLZf2x58huB+4cCS38qQFOGO/Zu4BxVDTfD2gePvG+lT/EPwV9rt38/I/tJ4+kR/55EHqq/l9a7uH4vfDr4Jxv4a+EWhf2j4ulx5t79qmh8nHzj5JkaJsxSOOvGM9SK861344w/s6zeA7rwp8Gvsvie8/tT/hMh/wkW/8AtbZgWn30eODyopT/AKr7+fm56AH6TXv7LnhXQbLRpNY1XzbbS/tP2y08h1+2+Yfk+dZSYthIPGd3Q4r4j/YZ+FHw2+PH7X114x07wT/xLLTZ5af2lN/om/T7hDyWRpNzRntx9K+iv+CYXiL473ngHXPiD8X7Dy9P8QfZv+EMi821PmeRLdx3fMA3DDbP9aBn+HPJr6b0zw4dItV8KWWk7ba4zvv/ALRn7pLj5CSep29fegB9vqVxZePdRgh0zek3k+bN5wGMRccY/Csy9ttN13UF1Cyt/tltJn+zrPeY/tWBiT5zgptIz83XGBU914Gl1KVJIH+xWozzjzP5tnqP1rnvFnhLW9J8V2d5p6faL+/8zHKp5myMDudowpPpnFAHk/7Y/wC2b8I/hn4yX4NfHDwR5/hXVs/2lqP9pXC+d5UcE8f7u3haRcSvGvysM9TkZFfm34i8X638K4viF4c+B/g/7b4euf7J8jVv7QWP7FtwzfurgM8m+R5F5Py4z0xX6bfte+HP2f8Axd8DdK8X/tC2fmaTovn7rnzLseR51zCn3bYhm3OsY6HHsM14R4I/bD/YN+F2lt8Hvhx4h/snQZMfZZfsmqT5wzTtxLCz/wCsdurd/QAUATaD4M8C/GD9hC18JeJtT/tPT7zf9mufJlh27NULt8qFWPzIBye3vXxT+zDp/wATrjxRD8M/D9rvsJ926z3wj7qSyj52+b72T9729q+x/wBtb9oDX/2b/BGgaP4Y8KbP7c+17T9uQ/ZPJlgb+ON/M3eafTb79vGP2X/gneeJtB8SeOdUl/sKzb7H/YN1tF1v+aWOf5Q4IwQB84/iyOlc2MwtPG4Sph5tqM4uLtvaSs7b669j1+H86xXDmfYTNsMouphqtOrFSTcXKnJTipJNNxbSuk07bNbnwd+2ZaTw/tEa/cvHiOX7L5bZHOLSAGvLa+jv+ChnhzRdM1rw74hsbPZean9r+3TeYx83y1tlTgnC4BxwBnvmvnGvI4VxVPF8OYWpBOygo694e4/leLt5dtj73xwyXFZD4uZ1hsQ4uUsROquVtrlrv28Fql7yhUipaWUk0m1Zsooor6A/KyO6/wCPdvw/nUlR3X/Hu34fzqSgAr6i/ZC+C2vfE74KeIfDHgKDOs+Ivsmz5k+byLmZz/rHVB8iN3H4nFfLte6/sz/ETRvC3w81/wAPa94q+wpqP2XyJ/sLS/ZfLmlZvlVTv3ZA5IxmvNzXD1sThYwpq7VSlL5RqwlJ69km/PZan1vBWZ4HKM4q18XPljLDYymnZv36uDr0qa0TfvVJxjfZXvJpJtfp1+zD+zTq+gfs5WPwW+Pmjeetv5u60+0KvlbryWf71tId2cxn73HT1FegfCv4XfDX4U/De68B+EtG/si0m2YuftM1x9pxM8n3XZim0uw687vavgb4O/Fr43fs3aNN8Qvhv4o/tfwudv8AwkVv9itrfd8zxQfNKjyD97Kx+Qfw/NwQR+mngXx9bfEbQ7Dxbpuq7Ibrzd9p5BONrMg+Yqp6qT09q9I+SLXhDQ4dRFtdaxp/2m+n37JPNKfa8bgeFOI9qgfXFegaRJpsGjbY7r7HJN/rothk+1YY45/g29eOuapeGr60isrnUG1H7XZjZ9js/JMfkckP8/VsnnnpjArW8VwaingTV9UsrfGfs/lXO8f6T+9APyn7m3p70AWr+DUdVvLfwUNcw91v+3XH2YfPtHmJ8vbGMcH61v8AivXPGmh+H/t3hL4f/wBsXo/5h39qx2/8YH+scEfdJb/gOO9cv4afwBqPxSHinwrc+Xdan/x9y7JT/aHlwFF4fiHywCOAN3fNc5e+D/D2g+N9T8b/ABG+L32+fR/J/tRP7AeLy/Ni8uLmIkHIK/dBxjnHNAG38U5LIeALHxL8Xvh/9qis/N/tA/2sY/se+VET/U/6zednQfLjnvXn9z+0f47n07TR4i0Dz7a187+3IftUS/bdx/c8rHmLYcH5Pvd68Y1f4ha5rOmXKap4r/tOG/2btQ+wrDjYw/5ZhQeoC9ume9dJo9v4b1fWbbWY9e/4l77/AD5fsr/u8KVHHDHLDHHSgD1P4Y/G268b+MvC1v4sl866037d5+p7QvneZG5X92iALgKF4znrXtGqQPpN82r6fp3mfacfbz52N20BU69Op6fjXM+Afhf8O/CMiXPhjTvteq6ZnM3nTR/6zcOjsV+6xHfp2Nao0yz0RbGBbvZZy+b9tTyyfOx9znJK4J7de9AGE1xp/i/x8IUh8rzfuy7i27EXpxj7uK7WSae41a2VLLPlb/tD+YP3OV+Xj+LPt0rmPD/inWpfFGneFpk+zG3877fFlX8zchdOccY68HnPNdbBLOzm5d90Un3VwB5WOPq2T+VAHzj/AMFLNGtPil/wT88ZrqPh/wDtJbr+zvL0/wC1mHO3VbXP7wFf7gb8Md6+E/8Aglf/AME3P2yPhH+2Z4D+PPjr4R/2d4V07+1PM1/+39Om8nzNOu7cfuI7hpGzK6p904zu6c1+oXw90bw1quiac+sQebPeed5M+51+07GbPCnCbQAOetfG3gX9uz9pHxb8TtH+LvhaDztB8afaP7M8C7rNftn2SFoZP9NeAPHskBm+ZV3fcGRzQB+gWqXhsLJ7rH3cfqQP61HBeeZqdxafZ/LI2bJd+fM+XJ47Y6e9c3rfxFtvBngvUfHXxksv7B0q08nzv3huvL3SCMf6hSzZZk6Djd6A1+f37Qf/AAVo0v4z+EdT+CXw/wDg95dje+T9m1D/AISBj9o2SR3Dfu5LVSm1kZeWGevoKAP0A1z48fDHRNJfVrjxJiNcYP2Ob+8F7IfWvmj48f8ABRP9n3wr+yn4t+Mfw90r/hLIfDP2D+1dA8+7sMfaL6OCL9/Lbk9Sz/Kp+5tOMg18nfs5f8Ew/wBoz4seHdmvah/wjek6h/x9P5NnebfLeXbwtyrHLoOmPvegr6K+Jv7JX7Nuufsu+M/2G9H+Mn9i+KNe/s7+3/En/CPXlz/qL1NQg/0dpRH/AKoGP5JR97cckbaAPffhb8Z/DvxR+HXhr4m6Hrv9rWOq/bfs+p/ZXt/O8qZ4m/dsilcMhXlRnbnnOa/ML4v/ABQ+Mn7UnxjTxh8Jvhz9jbTc/aU/te3k2+Zboi8zLHn/AFT9Aev0z93fBr4Y3H7MnwA034P6FrP9qyeHvO23/wBnEH2jz7t5/uMz7NvmlfvHOM8ZwLWgeB/h5b6TJb+FNG32uqY83/SJhv8ALYkffbIwc+n40AcD8dtb/Zt8NXHhrS/2k9a/tHUdJ+2fZJ/s15Ds80RluLUFTlTEOc9O2TX5ff8ABQzS47XWfDmpKfmu/tm4Y6bVth619NftweG/hH8T/GPif4sad4v+1jVPsX2Q/wBn3EefLjghfqV/uHqo6cZ6182f8FFLIQXvhW8D5M/27Ix02i2FfP4qeGocS4Vysp1KdWKdtXZ05JX7JKTV9N+r1/VMkw2cZl4O5zGi5SoYXF4KtKPN7sFUhi6MpqLfxSnKjCXKnJpRb92F4/NVFFFfQH5WRx/8fEn4fyqSo4/+PiT8P5VJQBZ0jT/7V1GOw87y/Mz8+3OMAnp+Fe7eCfF+habqtvZRWmJZ9/nXXmN+52qxHy4w2QccdOteJeEc/wDCQ2+J/K+/8+3dj5G7V63ol3o2naRfG7j+zyTeVhss/mYY9h0xn9aALfx+8C+ErDxLZ+L/AAdYb7DV/MxZ+bINvlJGn33bcfmLHoPTmvS/gR4Q1u38SX0XiW0+x3MHlfZ4vMWTblJN3KHByMdfWuC1vx3oUngWSzhm+1R3mN+m7WTytkoI/ebfmyfm9sYr2j4F3Wt2H7OWoX9h4T8270Dyv7Dm+3qvlefeSCbg8NkEj5847YoA5rz9T1LxvYaxeXGZtP8AN+zw7F/e74trcjhcAZ5zmvsv/gj/APsvzD4i6h8U/iBcbH8E+V/YNtsz/wAfkN7DP80cv+6fnVvbHJr498W+BtTaK61bSrjfZS7Ps+p7FGMYVv3ZbP3srz9a/Tn9lL/gq/8ABH466ze2Pjzw1/whGr3Xl/YLX7Zc6l9v2rMX+aO1RYtiRqefveZgcrQB9bu8olRFiypzvfd930471+fvxa/b31X9ov4UaZ4m8CX32fw54n87/iWeUr7fs06J/rJIEkP7yJm6L1xyOv3O3jjTtL1rS/C/iQfYtR1nz/7OtuZPO8ld8nzKu1cKQfmIznjNfLv7SX7Lv7Ktl8RrvxDonxG/4QXW77y/+Esb+yL7U/7T2QxLa/el2Q+Wmf8AVgb/ADPm5WgDx7S9S1fxxrEM+pah9ou5d3my+UqZwpxwAB0UflX3/wDCm+udS8A2F7eWf2eR/N3Q+YH24lcdR14Gfxr4l+DXw88C+Cr+CRbfMEu7zZ98o3YD443EjlsV6J+1/wDtE+OfhV/wS78T/Gv4QeNv7L8Q6V9i+x6t/ZsU/k+brcMD/up42Rsxu68qcZyMEA0AeV/FAx/t7ftFav461Xx59u+DXgb7P/Ylz/Zflbfttokc3yjyro/6ZbgfOG6cbU6+yfDnVfCeo+FTonw5tPJs7L/VWXmSNje7MfnlGeoY9T6elfKH7N9z4L8UfBm21qyv/wCzNPO/y9L8qSbzP9IlU/vDhhhhu6c5x2r3bwrovxK+FfiW50zwRrezT4dn/CQSfZoT5OUJg4kLM2WdvudO9AHnf7af7NngHW/gdf8Aiz43Qf2lqdh5X2XUt0sP2ffcwI37u3kCvuURryDjGepNch/wQV1zQfgH8RvFHw28d+I8TfFf7F/wrWX7G3/E4/syHUJdQ4jDi38oSL/rym/+Dd0r6e8bftLfAnwB4Nhufj14k+w6P4l3fufsd1Lv+zyKOtvGWGHaM9uvcZr8v/iR+xJoPwo/bg8UfsXN8Y/3dr9i+zXf/CPN/wATHdpi3zfL5zeT5ZfHMnzdf9mgD99a/mx/aW8JeJPg98YdQ+Gutar5l/oPlbpvIQeZ59vFL0UsowrgdTn26V94ftAf8FLP+CgMmkeG/CHwK8Q+VqJ+2fbfE32TSm/tT5o3T/R7i22weWvmR8H5/vHtXw7qXwn8XeLvGeteOvFN5nSdK+zf8JHq/lx/6P5sYjt/3SOGfc6hfkBx1bAoA7bXfjTafEzWbH45/Am//svxBN5v/CR6J5Rn/sfCi3t/31wipcebGkj/ACL8mcNyAa6DxX+1Pd6noek6nN4G8z/hIfP+z6r/AGmB53kMA37ryvlxjbzjPXmvXv2w/hDovxW/at8dWd74Z/sbxLr39mf8IH4g+2tceZ5FjCb39wHWMYjTZ++x97cmSK+evilomq/A34ieJfBniG//ALbsbn7H/adz5S232rbCkkfyqXKbWkA+U87eetAHtnwvs/j98K/FuoeK734M/wDCYeI5vK/tPTP+EitdP+wYjdI/3g3Ry7433fKPl2YPJr1vwN+1t4M+F3gPSNW8e6b/AMIle6T9o87TvOkv/s/mysB+8jiYPuV1bjON+OMGvHf2Tfi9oHwT8RwWfiG9+3aVebv+EZ1ry3i8nYkxuP3KozNlpAn7zpjK8V9W/Er4YeH/ABroUEXhzS/t5l3f6L57xdGX+JmH90n8MUAZk3xP0nSP2prXULYfa9S8R7/3/wA0f2v7PY4+6VKx7VOO2cdzWb+zf4q1L9kD9jyG9+Ll79jGgbvJ0zy1k8jz9QlB/eQiTdnzkbnOM445x83fGTwX8UvhXrvh74lXesf2/eeEPtf/ABT32eC1x9qVIv8AXgsOj7+jfd28ZzWv4c/bXk1Dw3qGl/HDw35GgxeV50/2zdjLkj5beHf/AKwRjj+WaAMD/goF8RfG3xv0nxb8WdKutvhG9+wf2fp2yM7tjW0Mn7wqsoxLGW5Ueg45r4G8S2EGma3PY2q4RNu0ZPdQe/1r7H/ab+L/AIa8SfDa0i0LQvtGlap5n9n3f2p0+y+XNF5nyMgZ9zgjnGMZGRXxffNavdO1lHsiONq5Jxxz196iNOnCUpRSTk7vzdkrvu7JL0SXQ6K2KxWIp06dWpKUaceWCbbUYuUpuMU/hjzylKysuaUpbtsiqO6/492/D+dSVHdf8e7fh/OrOckooooA+4fDDR/APwBb6z4x8P8A/CXeE9Q3/wBq6H9r+wbfLlKxfvk3yn97Ir/Lj7mDwa+zf2Dv2mf2ZPHN5p3w5+C/wc/4RGWXzvsNj/wkN7f5wLiV/nnjHZXPJ/jwOgFfOX7Iv7ZV38PLO28TeC/A/wDbOk/P9tj/ALTFvu5mROZISw+dm6D+Hng19Z/AP9vD9im41Gfw3onib+y72727ofsWpT+btEjdWgwuFyevOfaopxlCNnJvV726u9tEtFsutlq27t74mtTr1FKFNQVoq0eazcYqLl70pO82nOVnyqUmoRjDlivoHQdRgPhm0s7yz8yKfzPJtvMIztck/MBnrzzXbWM2japM0cep/JJj/li3yY/nnFYaWJ0CeC01DVt6Ju8iHyMZyMtyM+oPNdLoXhTwVc2FzF4Sl+z42YbbI/lcn++fmz830zVmBreItIWSeC+M3lIm7z59u7GQAvGfw4ry3xd8a9T8A+NfGviu3T+0tJ0P+zftdtlYfJ86NUT5ihZsu2eAcY5wDXq8F3Ffp9psLDdPb/dXzcbd3Hfg8V8b3XhH4kfE34efGXQbC/8A7am1b/hHfKHlQ22zyptx6lQchD3H3e+aAMy38TfGL9pTULKC7tf7TvbPzP7E0jfbw794/ffvQEAwsW75vTA68++fs7eDvEHw+fW7XQrHzrqy+zfbbDzUX7dv80p87EiLYGLcZ3dDXiX7HXw+0bxr4hk1rx7b+XaQY+yLvY+flJ1b/VsCu0qvUc9u9e8/tC/tA+Do/Bl14b8N332u7n2eYfKkj8nbJGw+9HhsjPfjFAHr2p6RZavbS6fqUHmwT7fMTcV+6QRyCD1AqVrgxQC5uh5QH31+93wOleMfsh63rep6RrmqajqX2uFvs32WPyVj2fNMG5AyckDr6V3ngzT/ABH4m0pp/Gep+bHPjz7HyUX7rNt+ePHop4+lAHSXllK9iLcjzwPvxfd385HPbFZOowWGltG2my4XS87rLaefNx/GfqT39OK37eWGaESW7ZQ5wcH196y7rSLa+vby2v48R3vl4GT+82DPY8YOPTNAHn3i3wboWk+Op/EXiuPyLJdv2e4yzeb+6Ct8qHK4Ygcjmvnb9t//AIJ1+H/2wPCnifxJ8GPG32Xxrrf2L/hMrj+zXf8At3yZIFtPlnuI4bXyYYXH7oDzM/NlsZ+oLrwxZeKfDN7DCnlX0fl7LrJbGX5+XIH3Rj9a8O/az0nSLL9kfx7pd1qn2N7f+yvPfyGkxuv4SvAP8vWgDsv+CbXwe+I37MX7Cfgz4S/F3w//AGd4g0P+0f7QsPtcM3l+dql1NH88LuhzHKjfKxxnBwcge0/Y9GF3dyXcmfK8vfFhv3WRxyPvZ6+1eC/sRePP2iPGumSf8LEtv+Ei8KXuP7K8S77S08rY0/m/6PEokbMqrH82Mbdw4Jrzj9s3/gpv8KrTRtT+D3w9s/7Z1C88n7LceZPb52NBO3yy2237u4csPu+4FAHOeE/+Csvi3xX8Xo5brwX9n8OS53aN/aMb+Xi3OP3wtRIcyDf7Zx0r5n8XfHO/+PHxDXxv8IvC39mXqZ22P24TfZswrH9+ZED7ljc9OM47CvX/ANnT9hPTfj3ff8LI/aF0/wDskar/AMijo/mtPjyhLFdfvbadP+ecbfvAOuFzgmvqPxFe/Bz9kr4bTXlpZ/2Po+n7cQeZcXGPMmA+8fMb782e/wB70HAB4B+178ev2gvhV+wDOde1f7H8U7/b9mk+z2kmdmqw7uFRrb/j1cdcdf71Zn/BPa4+I2ofs/RxfE3VvtWqc/2vH5EKY/0u58rmL5fuhPu+nPOa6rwD+0DofxP8P+JdX8Dabtt9G+xeda+cx83znZR80kalcFGPGc9OKy/ih8TovCPhnTfiV4s8ZfYpNS87+x4f7O8zd5bpFLyinH3gfmA68etAG/pR+IPgG5gs0ufLtpN21tkR8vAJ9y2S34Vv+IPGniDWdGkisrH7LIMfYbrzUf8AiG/5SB6Y59eK+X/Cv7U2pfHb9pW0sbbRPJ0Gy8z7An2kN9l32ZL8mJHfdJH3zjtxXqnxw8Q+GfBl9Y/EjUtY/s7+wfN+3T/Z3mx54jiTgA/3gOAevOOtAHwF+3Xc2+saALfXLPMmjf8AIDm8w8ea9uZuFx6AfPn2xXynX2D+3bp0y/CXS7HWvGP9ry6R5/2K7/s8W/nebPbl/lXhcDA5znbkYzXx9XkZD7uUUaT3pr2b/wAVNunJrybi2tna10nofe+KH73j7H41fBi5/WoLqqeLisTTUuinGnVippNxU1JRlKKUmVHH/wAfEn4fyqSo4/8Aj4k/D+VeufBElFFFABX1d4P+FnxS+EPw3uPib8NH3+Gk2f8ACWw4gHWZorXmVmk/1juf3a/73GDXylHG8riOMZJ6Cv0V8HfDr9oL4N6YnxD+Cl9uaXP9p6V5VoPseGaKP97OzeZv3yN8o+XoexqHUpqoqba5mm0urStd27K6v2uu5vHC4qeFliYwbpxcYylZ8qlJScYuWyclCbim7tRk18Lt5X+zl4u12T4hRQafpf8AaENxu3WPnrF5u2KX+MjK4OW98Yr9bvhh+wz+zh8CfjJJ8bfhf8PPKv8AT8f2PD/a1432XzLd7eXmad1k3LI5+ZTjt2NfPf7DH7dXwS+L37RnhbwRpHwC/sLxB4m+3f2nqX/CVXN1t+z2dxJH+7aBUP7tCvylfvZOSK+zPiJea0f7N8SQH+z73T/O/wBE+Wbb5m1PvdD8vPQ9cVZgX9Sv9I8MRp4m8ZP9isdJzi8w0mfNwn3EyfvFR0PXPFfKNv8A8FqvBmpa1baBZ/BDz7C63+Xf/wDCSyLnau4/IbPd94bevvX0J8TtT+Eng/wrrPiv4x+IPI0W++z/ANrSfZLht+x0SLiAFxh2T7oHvxmvzU/ah134A+N7qXQP2ZfAn9jaZFtxcf2pdXH27Iib7t2A0WxllHX5t3oBQB9W+C/+Ct2r+N9Y1LwDqvwb/wCEf1Ox8nytU/4SFbvdvVpD+7FqFHyqF6n72eoxXwfH8XPEPg+98W2C67/p9/8AYPNj+yp/pWwZHOwqm1W9s16D8evhr47+EWm6R8aNO1v/AIR7X777R9j0n7NFd52GOB/3pZk/1bluVH3sDkZrzz4z+Briy1XUdIsbr+0vs/k77XYIftG5UYfMW+Tb198e9AHeWPh7QdSsdN0G71Hz5/EnnfbIvJdfsf2c7k5BxJvA7Ebe+a6/wBZ+O/2PfihaeOPifpX2n+xfM/soefEm/wA6Bo5f9V5mMecn3genGOceo/Cz4R+E9E+BHhrUPj94e+zL4S+27Lj7XI/l/arpwfltnOc5jH8WM9ua+fZNZ8X/ALZvx0h0i3t8zaju/tG73x/P5druj+QiIDAgx8uPU+4B6V4K8b3/AIY/Zzfxn43uPt954rx/wiGn7BFj7LeNHd/vI1I6FW/eBemFzWRp/wAS/A+ifGHVpvjP4j+1f8Iz5H/CL2/2OVNn2i3P2n5oFOc5Q/vN3T5cc1b/AGiotR8b/FzV9Cvn/sfwl4Y+z/8ACL6NgXG37TbxNc/vRiU/vV3/ALwt97C4ArxH4t22neKtV8O+HbHRvtms/wCl/b7b7QY/N+VGT5jhFwgzwecc80Afqlr/AIP+Df7dngTwf8QfFMu/SZv7Q+w6ftuB52JRG/7xDEy4e3DcjnoOOT7Nc3d2shuNI0D7UZ/+PhvtQTbt4X73Xv09K5z4LfBzRvgh8MdO+D/g/wDd6Xo3neQPmPmedM87ffdmGGkbqxz7DitjXbO/t9UdNJ1/7DcapjbL9lEuzy1HZuDkZHbr3oAzNO8Q6tJDJf7d17rGP7N0/KjPlEiT95jH3fm+bHoM1dh8UWNkkVzdWnyXm7z5fMPybOF4A5z04rN8RWrW/hzTb3xJHlrbzvO56bnAH3Pw6Vx3jKez0vxDqHheV/tt1beV5AwY/vIrn26Hue1AGndeHbDVdIuI7m488Xeze+wrna3HAPtXk/jS00bx9pUdn458K+X4V1DP24/bmPneWylP9XiRcSqvTGe/Fdl4K8RaXJrmuaXY6Dunsvs32xvtTDdvVinUYHHpn3rwH4/fEf8AbG8Iw3v/AArnwL/ZWkW/l7pP7U0+fytxjxxKpZsuzfTPoBQB8j/Hb9gjxD8C9NN7YXv9so3/AB4xeWlvn5ow/Jnf/npnn+7x1rx+38IeIfiHqUngaDRfteuPjZJ9pSPbgeYeCQhyi+vb1r7U0L9sWeb9kmw/aQ8Maf5l3pPm/wBq6T5oH2bzb82sX714cPuGW+VDjocda6bXf21ox+zW/wAaLeL7TLHj7JNu2ZzeCBuDDjpxyvb8aAPgr9uPwL4YTwbP41jtNmpPt8yXzHPmYkt4xxu2jC8dOfrXyRX2F+3B8RtV+MHwli+I8h89b/d9pn+VcbJ4Il42r/cxwB/Wvj2vn+F6NTC5LDDzm5unKpC76qFScV1dlZKyvotD9U8acxwudeIuIzTD0I0I4qlhcQ6cbWjKvhKFaeqjHmk5zk5T5U5ybk1dsKKKK+gPysjuv+Pdvw/nUlR3X/Hu34fzqSgAooooAKKKKACvrP8AYM+Ftp4z0WPVJbLzZoc+QfMK4y1wG/iA6L3r5Mr6n/Yq1fxp4dgg8R6f+50yLd/Zx/dtsyZ1k6gscsT94fTigD62+J3j7RtT8SS/Bfwz4G/sex8D7fJk/tNrjz/tqJOeHXK7WB6s2d38OMV5j4F/aG1P4E/tNya/40svtuk6Zj+xbTzFj/1lkyzfPHG7ffkU/MD0wMCus/bP8DS/H660X48fCHV/tOu3n2n/AIlP2fZ5mwQW/wDrZ2RBhI3b7vOMdcE8z4//AGitF+PGk6fqvjOb7frFn5vla1taLzt7KD+5jjRVwkap3zjPWvmaHDcKXE1XOJTUnKNlHl+F2jG6ld62TWy0k1fv+xZl4u4rHeDeC4BpYd040KrnOqqrtVi51aipypKC0U6kZazkuanGXLe3Lp/ETwx8CvF+ua1AdL+36NefZtq+fdRfb9irnnIeLY6/8Cx6Vp/D6y/Zi+BWsXvgKbxv/aN9deX5rf2Zew/2dtVpBx84m8xZOx+XHvivlbxf8TfjD4z+Imlaj4Nud2q6D5/2CfZbjzPPhUP8rqFGFVhznPbBr0LRNP8AGEukaLZ/FLxl9sTQvtP2Fv7Ojj8nzmJf/U/ez8nXOMcY5r6Y/HS5ofxi+I9vd634i8IeBMaLL9m/s5/7Uh/0DAKycOm+Xe+77w+XtxXqH7P/AOxpp3xp1KSS7b+2tSucfZdewbbzNok3fuBMqjCx7Of7u7qazfhX+0J8O/B3xLGmfEzw99u8M+Jv+P8A077XNFs+zwuU/eRRmQ5lZG429MHIzX1b+13+1zdfsxfY/h98NvBvmbPM+2S/2iBsz5MicSxPnPmsOD9ewAB5R+0Ha/Az9jm20P4f2sf9uXUf2n7fZZurXGTHInznzB0nzwf4cHrgdl/wSc+Anxv+GujWvi/x1L5ehDf/AGC222PmfNeJP/q5GcYdl++PpxXW+K/+Cjc3hH9nz4ffGyL4SfabzxZ/a3kWX9v7P7P+y3Ygb5/s5Eu8NnlV24xz1ryb9vb9pDSfil4e8P8AxH8G3X9i63p32v8Atvw1sa52+Y9vFD/pDxqh+RGk+UH7208jNAHo+t/EH9iX9mL4l6h+zvpnw1+x2+v+V/wkF7/bOpSf6iEXMHyFXPWUj5HHXJz0HyR8Wvg9L+zf4vt9V8CeN/7TOob/ALff/wBm+T/q40CfJI7/APPVl4x0yevGp8HfBviH9snR4dR1S6xPabv9J2J/xKtzOPugxifzRAB/sfz5T4n/ALGv7Seta1pXw2k8Gefe6f5/2eH+0bNd3mKkrc+cAPlGeSf6UAe4ftZfB7VP2qrDwx8ZL74k/wBheEYvtvmj+x1uv7HyYYB0eOW482WH+78m70GT83fFL4cfs8+FfBiaJ4e8e/8ACW3txn7Sn9l3dhnbIjLyzEfdJ6H+D3r6X+Nvh/Xvgv8A8E/7T4AfFG0261qfmfZ7bzFPm+Xqsdy3zQlkXCOh5cZ9zkV4H+xn8Avhd400i+1fxfbbLDSfK/tm83znPmtOsPyJIG+8qj5c+pxQAR/DzQPA3wl1izhk3Gf7P9qGHGNs+V/iP97tXxp8U5dHufGt3daIcQP5e2P5vkxGg6tycnNfX/x0+JBh+GvjnxXp1vvht/7M+zwb8Y3TRo3JXPXJ5FfEV3d3F9cNdXUm6RsbmwBnAx2rx8s/33G/9fV/6Zon3nF//JPcPf8AYHP/ANWGOI6KKK9g+DCiiigAooooAKKKKACiiigAooooAKKKKACiiigArd8BeDI/G2qHS21b7I38LeR5mflY+o/u/rWFWz4F8W3Xg/XY9Shf93z5qYHzfKwHODj71AH0Z8Jfixf/AAc+K2kz6va5jh8/bPvA8zMD/wAKq2MbwPeu/wDiX4r1TR/hToXgbULP7Vc232r7Za+Ysfk7p1kT5gCGyCDweMc14Z4sRb+yGq2UuZrfPkDb9/cQG68DA9a7bx7qPxQ8WWen3Pjbwli/m83c/wBvg/fYKjpHhVwoX60AfVX7N/7TfwT8F+CIvHh8K+frvgPd/Zl19uuV+1fbZZY5Pl8som1Gx8wbPUbTzXinw10H4o/Fnxldanpo+3ara7MWf7iLz90bD75KquFQn3xjrXmGj+FNftvDeva7oWsf2VFP9l8yD7Ok+drlR8zH1yenf2r6H/ZF+N9z8KfgZ8S/jJpeleUsX9jfZLfzw27N1NA3zFGx98nlfp60AL+x/wDsseJ/jZ4I8QSwad9g1bQ/sn9kDzkl+2+dLN5v/LVVj2JH/FndnjBr6K/Yn+EHxO/Yy+DXjH4h/tLW39mWdx/Z/mx74Zvsu24niHNq8pfcZ4u3GfYkZ+s/Ef44fGz/AIJ6w+L/AArr/wDaHjG/3fb0+y20Xn7NWCJy6rEu2GM9AM455r5/8W/C/wD4KFfFvTE0nxtoPmR3OfPuvtWkjzNrBl+WNlxjYo469aAOQ8G/tb6/4W/aFuv2i5tR+weIrfZ5Fx5KS+ZutGtW+XyigxGccpzn15qX9oj4qfDz47/Fif8Aap0LS/sdzqu3+3fD/nzSf2f5UEVnD+/ZUEvmCMv8iDbnac9axPhX+0L8M/A/hC38PfED4Of27b6bv+zD/hIZrX7L5kjs3+rjJfcWXqTjb7mvTvG/wR/Yb8Gi3+MupeOvtnhbxFv/AOEa0T+y9Tj8/wCz7YLj98HMi7ZWD/OozjC5HNAGDpfhD4IWvjJI9dm+2axd5+y6ZtuY8bYzu/eKdv3MNz6Y6147+3t8TNKWzs/hzp0nnXTeZ/aK4Zfs/NvLH1XD7hn7p47+le7eF9F+CXhYan4k+E3xH/tbR7ryftH/ABJ7m3+ybcqv+uJaTc5foOMehFfEH7SWoanqnxp1q/1hs3Mn2bzDhe1tEB93joBXx0KWJzTjGVWaapYSNo/3p1Ipt/D0i0mua6ai9pNH9A1sfk/Bn0f6eBw8o1MbntX2lXvSw2ErSjTjb2mkpVoSlCfs7TjKtB604SOGooor7E/n4KKKKACiiigAqOP/AI+JPw/lUlRx/wDHxJ+H8qAJKKKKAJbK5W0uluHi3hc5XdjPGOtfbWgeD4fj58GbfSvDOn+d4gtN/wBiTzdvk7rgl+XKI2Y4z16dua+IK9X/AGcP2mda+C98dJ1BftOjT/662yqbdolYfMI2c/O4PHp6V4me4PFYrCwqYa7q0pxqRXNy83LpKDdnZSi5R7Xau+W5+ieGvEGUZLm+Jwmb8qwmOw9XC1Zun7V0VU5ZU68Yc0byo1oUqml5csZci9pyNfpT/wAE2L34+6V8NtU0L4k6h9i0o+R/wizeVayfZ/3101z/AKr5n3MV/wBYeM/LxmvV9E+FGl2v7TGp/GDxB4p/tDX18ny9J+wtF/Z/+hGA/vVbZL5keG+78uMdea+Y/gh+3fZ+N9QsNbbVvtt9feb5Nj5BjxsEin5/IA+6ueQOmK8++B/jyfTv24JfiZ8efF+Tou3ddf2ePm87TJIvu268dYx90/hya3wOb4bG1pULShViruE1aVruPMt4yjdfFByWqu7s4OJeA844cy+lmaqUsTgqslGGIoT9pSc3TjUdOV1GpRqqMtaVenSqe7K0Wotn1b8YP2KPGXxm+JWk/GrwV46/s/Uv3/224/syOXy/3KQJ8skyqcqjDheM88815n8dP+CeWq+AfhEvjPUPiP8Abo9Bz5+lf2OsXm+fcRxr+9FwduNwbgHOMcV5p+0v+114zXxVN4m+F/xD8iwu9v8AZmn/ANkxt91Ikk/eTRbvvb2+Yew7Vf8AhP8AtV3v7S3gPUPgh+0ZeeZbSeV/xWXlgf2NiV7j/j0tYkNz5xiii+98n3/UH1D4owfhv4v1vTde1u18Zal/aqaV9m80eSsH23zVYj7g/d7Mr0zux2zW1oXiHxv8RfEdzo8d1t8KXWz7bF5cR+y7ULJzhZH3Sr26d+K5O9+FGk/B34m6N8LkuvPR/tP2zW9jL/bOIfOT9zub7P5O/Zw3z9T6U/QPFkfiP4B/Ez9oLwl4V8yb4Sf2N/ZWpfbseV/al0baX924AbIDL8ySY6jb1oA0ptCh0bQrvw7q3ijzY/EmzzE+xFfK+ztuHKk7s5HcY960fBPijw7a/CyTRbqw+3fbcfZNJ814t2ydmb96Bx/e5I6YFeNv8ePFPxa1m00v4feH/I1abzN032tG+04XPSRFVNqIw9/ritaH4gzx2I8G+Er37dYX/wDr4vLEXlbDvXl13Nlt3QjGKAO91z4r+E/AHlXHgKD+ytQi3f2ho+6SfrgR/vZFK/dZm49cHoK9e/Y4/wCCa/jH9oPX7L4pfGnUv7J0C68z+zrXyY5/7U2pPDJ80FwjweXJGh+ZfnzxwCT7p+xt/wAE6vh58P8ARrL41fGq/wDt+s3vmeXH5U0X9mbGngPMFwUm8xGj/hGzHrk19Ya3oTavDrNl428N/wCjax9n3J9s/wBZ5RB6xkEYIX0z70AaOn2d1H4Zs9Y8MWeBbeZ9m0/zB/E5Vv3j/i3P0pPF3iHTvBVyur+ILnzbk5/s4bCvmcKsn3QQMBh97r2rCuvHemaRK+lXt39t0y/x5Fr5bR/YtnLfMFLSb2OecbcelR+MfGlhY6BfWvjrWftdhb+V59z9nMedzqV+WMbvvbRx6UAdHq3j7Rz4Rt/Gcum+ch3+XH5zLj94Izzt/pWJd+OL3xZ4H/4SPQLH+z7qL/kH/vRLuzLtf7ygDAB6jvxXyN4t/wCCqnwC8EeJ49D+EvhX/hK9Onz52s/brqx2bUDD9zNaljlmdOD/AAZ7iu5/a6/a/wDB37NNhY2fij/iZ3Wr+b9ks/3kO7yjCW+dInA4lB5x0xzngA6D9of4ef8AC0fg74m+HVh4f+0trn2Lz1+17P8AU3Ecq9WX+4ehHTv0r4u/aM/ZG+D3in4SWvxQ+AuifY5LPf8AbIvtNxJ9r33EUKc3Eo8vbiTovOeexr0X9lX9pe/8V3c2mReJ/Os9R2/Yz9iC/ZfLExf/AJZgvuI74x2qH4r/ALangj4Os/gnR7XzY0x9jXfKvk52SP8Aehbdneep47UAeVfs/f8ABQvQPhT4T1DwF4k8Gefp0Xlf2bbf2i6+XmSSST5lt2Y5ZwfmPHb0ql4o/bK+K3x+8UWWl6RJ/YWmDzPswxBdfwAt96FG+9Gev970HOX4f1H9kD4weILBtH+H39n6+vm+foP9rahL9t+Q7f37bUj2RoX4+9nb1rJg+OOiX/hu7+I3xFH9mWujeXuf5p/J85/KHESZbJC9jjPbBNeRn2Nq5flFatSTc7WjZXfPJqMbJ7+81pr6PY+98L+HMDxXx9gMux0oRwznz1nUm6cPYUYutXvNaxvSpzSleNnZuUVeS+av25vGWqa38XJfCN3qXm22ibfslv5Kr5PnW9u7fMAC2SM8k47YrxWtPxl4y8SfEDxJc+LvF2pfa9Ru9n2i48lI9+xFRflQBRhVUcDtWZW2UYH+zcro4VpJwik7bOVvea0W7u72u73epwcfcSf64cbZjnSlOUMRWqTh7R3mqbk/ZweskuSnywUVJxioqMXypBRRRXonyJHdf8e7fh/OpKjuv+Pdvw/nUlABXdfBDxS3h/WnjHgz+2YJcfa7P+0fs/m4WTZ8+CVwTnjrtwetcLV7w1r954Y1qHXLA/vYN2zp/EpU9QR0J7UAfoX/AME19X+Huq/Giy1a00r+xdSg8z+z9M8+W5+25trpZP3hG2PYo3c/e3YHIr9A4/DXjO4gsrGG9+2C6837fP5ccedpyny5/Dj05r86/wBin9uDxvqtlJbafoH9pR6Tjz7b7VFD5Hmmcr8xh+bcQTxnGO2a9J+MX7Xf7X2oeIHb4WXX2Swjx/Z67NPk+zZRPM/10W59zB+vTPHavOr5xlGFqulWxEIyW6c4prrqm77an12V+H/Hmd4GGNy7KcTXozvyzp0Ks4Ss3F2lGDi7STTs9Gmnqj9GtMh8TNaXml+H7DBXy/scvmp+95Jfhvu45HPXtTfip8Svh/8AAfSf+El+LviP7Dotr/yD4Pscsu/cyI/zQq7jDyIeR344zX5R3vxS/bI8R66/jLWfEPl6qMbZvsmnHPy7DwqhfugDp+tcXeWviLWNSiuPH0/mStu8ybYi7vlwOI8Y4Cj/ACa6MLjMJjabnh6kZxTteLUlftdX11R5GdcP59w5ilhs2wlXDVHFSUatOVOTi20pKM0m4tppO1rproz9fv2ef2qfgb+0L4Xbwt8Mr7GpWmPtug+Vc/uNzyOn7+WJFbcsbvwePunnGT9uu11+P4B6x4h0zxH5OnwfZ/7R077Gjfa911brH+8PzR7Gy3yj5uhr8jvhr4i+InhrxU3xI+Et99lvPD+M3XlQv9n89Gi+7MCH3AuOhxnPHBr9x7jX9dg8Tx6KfDGbSXPl3/21fmwm4/JjI5+Xr710nkH516LqfgZNXlsLmw22Fzt3fvZTs2qT2G45avUdA+KVx4J8RaZ4zkm82LTfO2w7QuzzEMZ52knJbPQ11H7V37O/7MmkjSJ/E3i7/hAtS1f7R5Tf2fe6p9q8ryQfuSbU2qR6Z8zuVrx342W3jP4F60JPEVh/wnmn3n/IEj82PS/tmxY/O5Xe0expB9773l8feoA+2bDQvEFv4nEVxD9ink/49dS3JJ5mE+b92DgYHy89c5omvtTujAdZn8uHS932rUtqnPmfd/drz1wvGfXivz8n/ae1Pw34j8X/AAa+Kn7If/CK6x4C/s/7VB/wn633lfbk89fmhiKtlCh4Zsb/AOEgimfCr9oL40/C7xVc6h4T8T/2Nd+Kdn23TvsVtcbvsyOE/ePGwHDluNv3sHOKAPvfSZfCes+P01Hwd4n3zTZ8mP7FIPs+IiDy+A+4BuvSn+O9f+Ing/4gR3OlXX22z1LP2XSNkMe/y4lDfvSCRgsW5x0xXxZ8M/8Agol+19qfhy41VbX/AISi4h2bIN+n2W/LuD832fAwBn/gHvXmf7Pf7J/7Rv8AwVb+I0f7R37T3jX7D4b03P8AYdt/ZtnL9p8yGS1m+a0lt5E2yWcR+dDnPHGSQD7H8R/H0eHvEuofBr4CH+0PiFqnlfZNI/1X2PykE7fvbmMwSb7cyNyw24wMtgUzwL8G/wBjz/gnB4d0XW/Hmt/YtQT7T9g1b7NqEm/Lsr/uo3mUYW6VeR3yPaX9onxdon7GHwG1fT/g7qfkeNLv7P8AZp/JZvO2XURb5ZxLEuIZ3HPX/exj83tf1rx18YfHl747+M/iz7TqWpeX9tuPsESfaPLiEafLAFVNqog4AzjnnNAH6cfHb4SfCP8AbV0Pw18Qb7Uv7U8KWH2zyYPJuIPt29o4jyHiki2SwZ5B3Y9Dk9Z498RfCT9mXwO82m2n2eOXH2e18y4ffiVd3zEPjHmk8+uPp8ERftb/AA40HSblfh/F9mhvNnm2e6Z87G4+eSInqWP449K818T3XxV8QeEbe/8Ail8SPsNvpG/yU/seCXyfNkAPMOC2SE65xntzQB9Mftw/tiWni2ztv2b/ANnO7xJqm/fP5Z/eeWYLofLdQjGMSj74z78CvCv2R/2KvBP7U/ibVPBMnxT/ALL1DQvI/tCL+w5J/tPnJNInPnRqm1Yc8E5zzjHPOeENa+Afw7udW134geP/ALbqI8jf/wASq6j8/hlH+rBVdqsvbnH1qDwTc+I/hz8SLb4x/Ay4+2eCNX3/ANoy7Ejx5ULQR8XG6b/XtIPlUdOcrg0AfeXxGl+FmhWF58Qv7b8vSbjy/wC0p/s053bSsUfy8sMOcfKPrxzXz58ddS8AePf2eB41+F7efb6h/wAg04lXzPLu445P9cARgq/3gM9u1eIfsR2mp+LdJ8feEDN/xKZP7K23+1f3eGnc/Jwxy429eOvSsf8AY38cT+BPH+t/BbXIvOvNa+zfY/mC48mKed/uqR0YdWHtnpQB5L468DTN8IH+I2kr5v2DH9s2+du3fcLFD8zNz3Pyg+/rXB/t4+MZ9a+JMHhKS53Jom7y49gGzzobdzzgZzj1P4V6z8H5L34RXfizVPiBqP8AZ2maf9g8/wDcibO8OF/1e5vvOvTPX0Br5J8d+Nte+Iviu68ZeJrrzr682efLsVd2yNUHCKoHyqOgr59cuN4j5lBOOHg1zNP46nK7RurXjCPvNS2qJW3P1SSqcOeEbpyryjUzXEQmqcZRs8Ng1Whz1eWpzctTEVWqcJ00ubCymm7RMiiiivoD8rI4/wDj4k/D+VSVHH/x8Sfh/KpKAAEA5Iz7V614PuJV8WwTad4i8m8uN2yL7Ju27Y2zyeDkZNeS16B4a1mz1jw+s88/mX1rnz12kbtznb0AA+UdqAOntPCHgKKzNvrF1svZ/wDj1OyU52nLfdOPu4612nwP1TxlYSQN4G1/Ze2W7yIvssZ8jf5m7mQYbcCx5ziuNt/EVh4M+J2m3viWD+0bG387zBuMOd0OB9wE/eYfl71111J4Shvz47+FOvbdb0j/AI+o/ssh+3eaPLXmb5Itib+gO72OKAPYrnx7qHiPwjY+G4NZ+zy/vf7Qf7OH8v8Aebk42gHIHY9+aj0j4U6vd3Vtd+FdP8zyd/kat5qjycghv3Tt82eV56daxvBvi74V/EvQ5RqnhHztSm27LD7fOu7DNn5wFUfKgb9OtYcviLXNF0K61nw1rvn2sOz7VF9lVdmW2ry4JOSSeKAPtXwd/wAFNv2r/hDYX3xM+I8//CyvC1r5XnvtsNG+z7i0S8RWzSPuldei8eV6MTXW/wDBVL9mb4dfG74KTftyfBbxBm5stv8Aa1p9km/4qLfc2mnxfNPIotPs4jc/LEfN6Hs1fDus+M/AXi3w7H4R03Ud0NlnbbeTKPN3uH+8QCuCpPU5r1z9iL9rz4t/sWfFDR/D3xc8V/2P8KbT7R/wlUP2G3uPs++CdrbmGKW5fddTof3Z43fN8oOACL4G+NtTsILXxprMn2WLwxv+0nCvu+0mSNfurxzjoG69q+0vh7+0d8Lv2W9G8L6Z41i8jxP4t+2/8JCN07b/ALKzGD/VxyRjEUq/c2/7WT0+LdU+AXjX/gmv+1PpXw8+Kmp/2n4d8T+f/wAIv418mOH+1/s1iJbn/Q4ZJ5LfypLpIv3hXfjeuQSB5X8E/wBryLwpN4B+G9zP576P/av/AAkNtt2/bfNEksHzCI+Xszn5Cd38WOlAHpH7PnwF8d/Cu31fwnfeKfMtLj7P9ptvsMQ8/aZHX5g7FdpfPB5r7f8AD37JPiCf4oeMfhnqfjPbpd1/Z/2S/wD7OQ+ZtgMrfIJdww2F5bnqOOK+f/8Agn74b+H/AMZf2ip9F8TS/bdKtNv9lW+2WP7TutLlpfmQqybXQH5jzjjivbf2Cf29fg/+3D8YPFES+E/7J1Cx+xf2Vafb7iffvt7jzfm8iJRhYM/NnrgdOQD0j44fsEfBH46/Du9+GXiObZrN75fmaztuTjZNHKP3Kzon3Iwn3h69eK8U+Nvg79m3xR8bPEHib9s74M/6Frv2T7Re/wDCRXn7nybaNF+SxILZYQDgDHXn5q+wvEOr+C7GW1+2Xu7UtY3/AGJvLkHn+VjfwBtXavrjPbJryn48+G/FvxP+HxsvDWmf29e2H+u8M+dHa/bt8sZH+kOVEWxUMnGd23b3oA/OL/goB8Dv2k/gP4bPxe+GHjz/AISD4XRf68f2XZ2n9m5e3hX/AFrvcTeZdSP0X5dv90g0nwE/Zs1v4C+Mrz9l39oHQf7Z8O/FTy/Jv/tS2/2X+zI5Ls/JbSO77pJI15dMbc/MCRXP/Fz43Xusfst/EX4F6V4c+yRaD/ZH/CUT/bBJ9v8APvkuLbgoPK2EEfu2O7PzY6V79+0H4N8GftS/s2eC9b+F3jb/AIWLBof9o/ZPFP8AZsmkeT515Gr/AOjTGMtkxPHyDjytwxuGQDzvR/C8vxK8M/BH4d6nrG3Wbj/hJf8AhJIvs+du1zLb8gqhyig/If8Ae54qG+iuPHfhu7+Pi+C/PuPiT5efD39ohf8AkHv9m/1/A6Lv+6n935ute3fCzVNf+KvizVP2x9R0D+xdN8XeRvT7Ulz/AGV9ljexHICtP5rIP+Wa7N3cDdXzX8SW/Zlv/D9nZ3fxY8/wX4b8z7N4c/sK9XZ9odS3+kD96czfvOc/3eBQB5F8evh1Bb2Gr6P4ai/tO40H7P8A2m24w/YvPMbR/fbEm8Z+7nbjnGa9U+FH7b3xms/hD4ck+KPg3+076H7Z9j1/+0beH7Tm4ff+4hhwm1dic9cbh1NZvww+Enia+/Y+0nxH4Bk+za/e+f8AbZsI+/ZqDqnEj7BiPcOAOvPOK8p8C+PfiN8BfDGmwwaxnTtS87+09L+zw8eW7eX+8Ku33pN3y49DQB9NfDL9tzx74k+B3iLUbST7VrmlfZP7KfEUf27zblxLwYQkWxB/FndjjBrjPgj8VIP2nJpPhR8cPCf9oDU8fZ9T+3mLHl+ZM37u3VP+eUa8sOmeeQc/w74z8I+OtXm8Z/CH4Gf2d4rfb9uuv+EmkmzhTGnyzAR/6pXHA788gV3fgq81v4D/AATmt/EPh77Re2G3f/papv33LEfd3gYWQevSgD51/aj1dfE/jO28EWD/AGbTLLfi2xvxvjik+8QG+8Cep6+lfLFeqftBfFTTPG2r390uleTeal5X2m389m+yeWsYX5toEm8LnjG2vK6ACo7r/j3b8P51JUd1/wAe7fh/OgCSiiigD6V/ZE0f9n3xl4Xi0X4m+MP7FltN323Uf7Pu7n7NueZk/dxEB9wVF4PG7J6GvqP9mT9hdPF/jnR/FGgH/hO/AX+kf2ld/wDILx+6lSP5WnE3+vUj5R/yzyflavgb9nv4r2vwv8VO2rj/AIlt7j7aef4Ek2fdVm+846Y9+K+qP2ffjPqXhzxpqXi39krX/PSz8n7en2VV8jfHIic3qHdnM3Qcd+1Y4jEYfCUnVrzUIrdyaSV3ZXb0309TvyzKs0zvHQwWXUJ1q078sKcZTnKycnaMU5OyTbstEm9kfr+dNnfUb3WtFg8zUrny8LuAxtG3+I7fu57frXTWOpa/bWb20fw/860nx5b/ANqou/acnjGRg1+KXjHxX+1NZ+DX8P6zrH/Eihx50f2ex+bMisOVG8fPjof0rG+EH7Vn7Q3wJ8RW2uaP4v8A7OmO/av9n2k2PkderROOkh7d/aowuMwmNpueHqRnFO14tSV+11fXVHRnXD+fcOYpYbNsJVw1RxUlGrTlTk4ttKSjNJuLaaTta6a6M/d2FodA8LvdeLdR/wBDjx5v7n7uXwPuZJ5K1ifDvxd8PfE/gGx8f/COb+09E/e/2c22WD/lq0cn+uAf74f7w7ccEGvxn+I37SHxr/a98c3GsePdU+0RDZ51v5Fsmz90qj5o44ycmFTx6fXMP7L/AO1Z8Z/2QdUuNV+Fuq/Z7bWNn9t2fkWz/a/KWUQ/PNFIY9pmc/LjOcHPGOk8g/S/4l/D74o/sVfDvXfFnwc8b/Z/C9t9l8nTP7Mgf7HumVD+8naWSTfLO7cj5c46Yx85aZrthd2WnamLP+yrS487beeYZ9+0kfcxkYPH457V9Gfsr/t9+D/2zPB1xp2paJ/YmrQbP7V0X7TJc43STGL98IIl+5AH+X+9g8jnzD4z/s5/s/8AhT4hNo8fxW/4RKXUcfYfD/8AYV3f58uJGf8Af+Yex384+/tHSgD0n9mj4uRy+O7zwG2p7pPE3l/Y9U8nHkfZ4pZH/d7Pm3fd5Ix1GelfR1trNp4UtrRb/QfsCTeZ9rH2oy/Z8H5egO/dnt0zzX5tfEH4sw/s2fEHWdS+Jmk+Vf6J9n+2Qefuz50ShOYkdfuyoeM++Ocb3i//AIKrQaTpF5ffBb4n/b9T1Hy8p/Ypi+z+WyjrPalX3KX9MY9cUAfpRbRxxQrHEflGcfnXHaZDaweLdNmsxh5PO+3jnjEZ2df6fjXyjf8A/BU6DRPFU4vv2cv7K1Wbb/bt3/wl5n+xYT9z8otism9Tj5Pu5yeRXvvhT4oeDPiTdaB+0b8NtY3eFLv7V/b2ofZ5B520G1g/dyqsi4lVl+ROep4waAPNP+Chf7Z2m/sb6DBB8UtM/wCEog8S7v7A8N+c1l/aH2d7bz/9IhhkMXlmdJPnxu2bRnJxneHPhV+1x8atCuPh744+E3/CovB+p7PtWkf29Ya/9n8tjKv72NllfdNGrcEY87HITFeF/t2fE74ZfFf/AIKLN8J/2i/jn/whmifDPH/CNQ/8IxNqP9pf2jpFvNcc2qq8PlukR+dn3b/l2hSK2v8AgoT+2x8OvjJbp8DPDvjP+yvBU+f7Q1j+zpp/7Swba4j/AHTQrLD5cyFOG+bOT8oxQB6p+2prf7SXxF+FOleE/wBiDwr9r8L3Hn/2he/brOPz9s8Dp8l+FkXEqzjg84yeNtfPHgj4W/s9fsOeDIvFP7QvhP8A4SD4p2+7zfB/2+7tPI3SMg/0u2aW2bda3EcvTjbt+8Tj5++FXjfxxBqr33hQf2Vbz4/55T/dVx/Gueufz9q9C0jxV4j+w6/8SNL1n7fd2n2XyG+zJF9t3ExN1GI9gz1HzY/GgD7h/Z8/bI8OftJaF/wsXw/b/Yb2H/kYdP3vL5WWkig+doUDZWIt8g4zhvU/Hv8AwUL/AGotZvPiFbaf4dtft2m2u/7Fb71i/s/dFbF/maLdL5jZPP3cccV5Y/jb4mXUtz8TPDmgeZa6ls8//SoR5Xl/ul+8uWyc9FGP1q34a/an+OPwhn/4VV+zj4u8k2X/AB8ah9gtm2bwZl/d3UTZzvlXhj6+goA+sf8Agn18MdO+E/giXxffaz/atz4i2/a1+zmDyPs8tyi9GYNuD9gMY5zmvOf29fEng3WNF+HHxW8M6l/bUCf2x5z+TJbfastbwjhwCm0g9F52++a4Twx+2n+0T8LJzc+Ota/tHw5F/rIPs1pD9myCBzHC0j7pHU+2PQ0tl+2pZfEjxVq/w78XWXmaBdfZ/sU/mEeVtTzX+VIVdsyKo5PHbjigDQ+F3gzT9Q8fwfFH4e3WNE1Ld9qsth/0Xy4nhX55Tvfc4Y8KMdOmDXHftFfFeG+8b6v8BPHmn/8AEj1v7P8AZrzzf+eMUVy3yRrv+/tHLD15HFeffCjVV8F/tC614Ri1n7VoMP2b7RF9n2edm0d15wXXEjZ4POPSr/xT/a58Aal8R9A1Dxrdf2PbWf2rdNsluM74UHSOLPUKP+Be1c2Mr1MNg6laEHOUYtqK3k0rpKyer22foevkGXYXN8+wmAxNdUKdarThKrK3LTjOSjKpK7irQTcneUVZatbnzz+3F4kl1P4x3Ph1x8ul7Nn/AG0t4GPb29T+FeM1p+MfGPiTx/4kufF3i7UfteoXez7RceSke/aiovyoAowqqOB2rMrLK8LUwWWUMPNpyhCMXba8YpO22mnY7+Nc6wvEfGWZZthlJU8TiK1WKkkpKNSpKcVJJtKSTV0m1fZvcKjj/wCPiT8P5VJUcf8Ax8Sfh/Ku4+ZJKKKKACv00/4Ju/B/UoP2jdG8W+ENW+1eHr37R/wkuj/Z1T7Lss7pLf8Aeu+990m5/kAxjDcV+Zde5fs/ftSHwnrOl6P4s1H+zbeHz/P17yfO8rKyMv7hIiWySE46Z3dqipUjSpucr2Svom3p2Su2/JJt9DowuGqYzFU8PTcVKclFOUowjduy5pzcYRj3lKSjFayaSbP0N/ZU8ef8E+v2TfGWpDQvjN/aVxq3k/Z7z/hHdWh8nyo5t3yMsgbImI5xjGec8fUXg39tP9l/4h/FHw18JvAfxS/tXVNd+2+Tb/2JeweV5MDTH5pIQrZVWPLDGO5OK/Gq10v4N6/4qW1+B3xD/tPUZ8/2f4Y/sm4h8/amZP8ASbghVwokk5642jqK98/Yz0SD4ZfFOLxp8dfBXmXEe7yNQ/tIjOYJ4z+7tyw6PGvI9/WuGhm2X4iqqUZ8s3tGScJvrdRmoya31Sto9dGfTZpwJxXlOBnj6mH9phoW5q1GcMRQg20lGdehKpShO7j7kpqfvQfLacW/0E+PXwW179pn4Nf8K71rxT/Z/iQfff7Csuf9IjlHCukf+riHfv68H4R8X/DXXP2Rjc2/7R/wj87VNX2f8I5P/b6r5XlbTcfLatIrZWaIfPjH8OTnGT8dv2hPH/gi4T4nXdz5+oa/nzBsiX7P5AjiHSMq+5W/ujHv1r6n/YN/a3+IHxH+FXiJfi/qv2hdF+yfZdS8iJPP86e43fu4Il27dqLznOM8c16J8ifPC/HzW9K1VPBXiHxP/wAJz4dkz5lp9iXTPMwvmD5lj3jEhB68+Xjo1bfhrwP8K/2aNf0DxVe6z/wkGm6h9q/s5/s89ps8tCknAZ2OWl/iA+7xweDxL4T+N/7YHxF122+Gfw6/taTXvsv2mD+17a3x5EIK/NKY/wDni54x075GeJ1bw/8AFT4zav4Z+F3g34ff8JB411j7b/wi9v8A2tBaf6pRNc/M5WH/AFKMf3jD7vy5Y4oAZe+OPi38bPiB4hsdW1nz/tf2TyX+zW67dsWTwqrn/VjrXe+GPit4O8DfD3T/AIa/BXRftF9ded/bn+kyJ5m2Uyw/69SBhWk+4ecc9hXmfw7+GHxU0T9kXVvjt8R5f+EaiuvI/wCFeWu2C8/4SDbftb3/AM0TH7J5BKn98v7zdhOhNXvhzpcPxJsvE2maT4P/ALNf/Qtl1/aBm8rliflYruztI9s57UAc344+Itl9nnjsr/zVvtv2mDyivmbCu35ivGOvGM191/8ABLX9iJ/hkiftGfE3Q/N15c/8IxH9p2/ZP+Pu1ueYpmSTdG6f6xPl/h5ya7H9lH/gnD4b+DfiAfE7xVD/AGnrln9233PDu3pNF95LhkHyOD93t6nNe1fHL4k6N8NfBl/cePI/7bbV/K/srQctbef5UkYl/fxq23G5X+bGdu0ZyaAO+itdBtYJPD2j2XnPp+MWfmOuzed332655PU+lVdS1q38OxibUJPt82m/8fE+DF5PmY2/KAQ2QQOM4xXAfCLUf2t/HXxB1DxL8V/D/wDwgWgW/lfYfDX2uw1T7XuidH/0iHDx7ZFSTkfN5m0cKa6vxl4m8aw6VZ3qx/2JM/mfahujufs+GUL2w+4enTd7UAO8TeJPFV3Zwactl/Zktxu3v5iTY2kEcYx0/n7Vwa+BdZ8Ox22pan4l/s/VLnfvtvsay+dt4HzBiq4Ug++fWpvEGk3t1eXA8Vz/ANoSts+3z7RFuwBs4Q4HGBx6c1454k8c2viXW7zxRq+jf2lqF15f2fQ/tBh27VCN++VQpyoD8jtjvQB13iDUNQOobPFOs/ZtOuP+W32cP5W0DsnzNlsD2zXj0f7Rvwx/aZD6N4SP2Iy4/tay/fSfa8fNF87xp5e3yifl65wffP8AjN+2H8NYviFH8AfFMvk3F/n+0dW2zN9k2RJcx/ukhxJvGF+Vxt6n0r43/YzsNa+EH7Rtzo+sWfmWtts2P5ij7Lus52PC7i+4uPpQB1fwo8A3Pw7+JPiD9kXXLP8AtTSdV+yf2pP5gg8nyoXvY/lVmZsuwHyyDGOcg7a8u+G/jHR/D58QfATxvrn2fRtf+yefL9mZ/K8jdcLxGC7ZcqOGGM9xxXpPiz/gpZb6Zrc+iy/Dz+z1i2/aL3+1jLvyoZfk+zcYzjg981y/7T3inQfFFlB4l8XSf8IXDr+7+1dRw2o/6gxJF+7QA9Qq/KB9/JztqKlSNKm5yvZK+ibenZK7b8km30N8LhqmMxUMPTaUptRTlKMI3bsuac3GEV3lKSjFayaSbPLP21v7R8FeAvCHgjT0+yWlz/aH2u0yJN22WCRfmOSOWJ4PfFfN1enftVfGMfFr4ky/2J4k/tHw9p+3+xD9j8ny/Mhh877yK5zIh+/npxxXmNeRw9TxcMopyxSSqTcpySurOpOU7Weqa5rNPZ6Xe5994r4vIcTx7iqeS1JVMJQjRw9OcnGTnHDUKeH5+aHuSjP2XNGUbKUWpcsb8qKKKK9o/OiO6/492/D+dSVHdf8AHu34fzqSgAooooAKKKKACvYv2evjNrXhzQbvwvfRfbLW18v+zYNyx+RueR5OQhLbic/MeMcV47W74AvNLs9YDaz4g/s+3P8ArJPsjS5+VscLz1x+dAH2DpnxMsYvDmjxaRp32C9T7R/ak/nGX+1MufK+VlxB5S5Hy/fzzXif7QHxlsrbVXt/DE3/ABNZcfa5dp/0bCxleHTa+5cjjp35rk/GnjLwpoN3F/whnir+3Ipd3n/6DJbeVgLt/wBYCWyS3Tpt9688nnluZTPO+5m6nGKAPYNA/apvrrwqvg3xXpm6S4z/AGhrPnAeZtkLx/uUi4xwnB56mvWx8QY0ukVZtoTPnHbnzcjj+H5ce3WvkGu58F/Fn4hXHiSyt5Na81Y/M2R/Zol6oxPOygD7R1/4RT+OPEuh+A/htbfaJP8ASf7Nvt4THyCST5JXHZWHzHtkdhTv2s/i9f8Ax7+KmsNoUH9mRaj9n+3TbhN9m8uCHZwyIX3GMjjGM89K5vwr8UJtU8PaZrNvqH2j+1vO+wweUE8zynKv8xXjGM8gZxxmuD+GnxA8cx+LrnXvEtxuubzZu1HZEPJ2Ruv+rRcNkYXpx1oA6T4rftY+Idc8G2mnL4Z+yiz8z+xLz7aj/Yt8iGb5PKHmb8Y+b7uciuo8AfCj4d+PfgP40u9M8P8A2P8A4Rr+zvscX2uaTzftF0wfksNuNp65znjFfS/7Y2k/Af8AZnv9P8Ya/wDBj/hKbjxB53n3H/CRXVj5PkCBF+VS4bIlA4Axs754xfhp+0N+xZ8Tvg9qv7L39j/8IvaX/kedb/aNRvd+y4e7HzeWpGCmeHH3/bFAGR/wTFn0D4laD8QLDVLj+1bFP7K8p9jwYy90TwNp+8o/L3r6e8caD8d7bw62o+Hdb+1THHmt9mtU8v51A+8cHIz9MV8v/Ebx38Mf+Cd0Vt8JP2e/Bvmavc7/APhI9S/tGYbtu2a3/d3KzKPkuZF+RvducAfMHxb+LXxn+Lvj++sPGWs51H919oh+z23z/ukK8oiqMKinigD1j9vnV5fFn7RmoS6NqH2i0vvKwnlbPK2Wdv3YAtkg+mMVxfxCPxE8HzW/wu0nSvJ0iy3+RqPnwtt37Zm/dtlj87FeWPr04rzrX/Hvj7XvD+n/AA0En+nQebuuMRfLucS/d2gHKjHX/Cp/F/xA+KGqeH4Z9X8Q/wBovBu2Wn2SCHZudc/Mq85wD+GO9AHmXxC8d3/ga18c/C6+0z7YPEn9meXqHnCP7N9nKzH92FO/du2/eGMZ56V5TWr4y8VT+MNcl1eW38lX27Id4bZhVU84Gc7c1lVjSw9GjOc4Kzm+aXm+VRv5aRS07d7nfjMzx2Pw+HoV580MPB06aslywdSpVa0Sb/eVZyvK79617JJFFFFbHAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB7/+yprtpoev+Ebi7ufJiH2/zm2Ft3yTAdASOT2r688PfD39nOWw+0fEnw5sNj/qJvtl4fM3khuIm4x8o5zn86+GPgf4ms4JdNstQXdb2nnebyRt3eYR0GTzivpbwB8dFvry28P6no+2H592qfaM54Zh+6CZ64Xr718pnuFzbCYuOa5c3OUYqM6XScE2/d/vxu7bvt1jP9y8Ms54FzzIavA/FkY0Kdaq6uGxqXvYbETjCDVS7SeHqKnBTV4xTV5te7Wod/8ACL/goL8CvhuB4Nb4Vf2bpMv+vm/ty6m2Y3uvHkMxy7Y4Pf0Fd5+2H8B/jh+1P8XUg0e38rwpaZ/sXVt9s2N1vD537pnjk/1sJX5vqOOvyz8dvgCfDUq+LvDVtjTI8/a4d/8Ax6Z8tF5eQtJuYk8DjvxXR/Fv4weIZ/B3hr4Y27/ZZtG+2eXZYR/O86RJT85TC4HP3jnOOOlezlObYHOsFHFYWV4v70+sWujX4qzTaab/ADrjfgjiHw94iq5NnNLkqw1TWsKkHflqU5WXNCVnZ2TTTjJRnGUV7P4G+HXhD9g68X4q6r8R/wC3LWbOLH+x5LbdgND98NKRzcA/d/hx3yPBP+Gxfj/8UfjD4Zk0P4ieRrlt9t23f9kWjeRut/7rQqjbkQj269a8k8b+ObfwXDLfi8+0XbbfJh8spnlQedpHRs8+lebat8XPFGpXs95FN5PmbfJXajeVgAH+D5s479K9I+SPv79pr4SeJP2nfDUXjbwdoP2HxJLu/tPw39qSXo8Ucf8ApDukf+riaT5R32nnr5Z4d/alutF8Ev8ACn4heD/7Q0NcfYrX+0BF9i/eGZ/miiLyb3KnlvlxgcZFfKkXxr+JsMnmx+JsN6/Yof8A4iqGvfEXxj4muI7rW9Y8+SLPlt9njXGQAfuqPQVjh44iNFKvJSn1cU4r5Jyk1p/effTY78zqZZVx055fSnTou3LGpONSa0V7zjTpKV3dq1ONk0tWuZ+yeMvH2i6b4m+3fDSD+ybSX/j+t9zT5wihPmlXPUsePXnoK8u+LWh/ZL+28RS6t582pb/Ng8jb5PlhFHzZw2Rz0GKtWfivwu9lHPfali5bO9fJf5eeOQMHiuW8Qa9Pr1557R+XGv8Aqosg7OADzgZyRmtjgKFFFFABRRRQAUUUUAFRx/8AHxJ+H8qkqOP/AI+JPw/lQBJRRRQAUUUUALHI8TiSM4I6Guq8AfFnWfAVhdaZbwefBdbMpuVdu0sepQk8tXKUUAereBvil4D/ALfHib4hR/a/N/1lhmWPZhGQfPEvOflbp2x617h4Y/a8tNBt7LWfBGgeRpml+ZuvPtZbd5hK/ckiLD5iw7+vAr45q9ouqz2ay6c975Vrd7ftQ8sNu25K9sjn0oA+stc8U6ndfHiPwBpHiv7NfWuf7L1b7Cr/AGndaiST90wwm1cr8x5zkeldt8JfjNrP7OV2fE/wf8cf8K/8UXn/ACEpf7MXVft2wOkfE6PHFsilcfKPm8znlRj5Qj+GureD7BfFmheJvMu4s/ZovsSjOTsblmI6MTyK+k/2YbXTPjx420vQ9U8K+dpo8/7XafbmXy/3crL8w2MctGDweOnSgDtvG/xxuvj3dJ8PfAvgb+zvB+mZ/wCEB8K/2mJv+EZ8wLLff6TIiS3v2iaNpP3xPlZ2pgDFfT/7Gv7Nvhv4NWVv4pt77/iqrrf5DeU/+gbTOjcGRo5d8T9x8v1roPA/gm2g1rxBd+F4/NvU+yfYLjJXblWD/K7YPy5HP4U341/FzW/gL4R1LW7nSvtz23k+VP56xbt0kangI+P9Zjp2oA7v4j/tufC/9mLWZPCWpN/bXiWzx9qbE9tt3qrrwIXjP7uUdD/D6nj4K+MP/BRH9p/xR4olvbLxd/Y7Lt8ux+wWVx5eUQH5zbjOcZ9t2O1fPXjTXdTuvEGieMJNT/4nUf2n7XceSvOUVE+XGz7nHA+vNauo+F9Z8SeGm+KfxI1/7F4enx9t177Ksn2Ta4hT9xEQ8m6QKnC8Z3HjJrmxWMwuCpqdeaim7Lu30jFbyk7aRim30TPWybIs34gxUqGX0XUlFc0mtIwgmk6lSbtCnTi2uepUlGnBO8pJanvfgL/grH8ZU1OXT/2gG/4S5Jtvl8W9h5GFYn/j2tfm3fu/ps9zUf8AwUY+N/jvxz+0Vr3w6Pib+0PDel/Zf7EtvsUUXleZaW0s3zbBI2ZFz85OMcYHFfCL/Gfxyt99ps9T8mJfuQ+TE23jB5KZPPNe5eDPjF4x+MXhST/iW/2jqdpj7PH50cPk7pG3c7FVsqnfpj1NdJ5JZ0GOdBcDUZ/sVpNsy20SZxn0564/OvdfHn7Tnw4+Kfwat/DXjNPtrTb/APipMzR78XCv/wAe8ca4xsWPr23V876teT6BDNHpvj7Zq67f+JR/ZQO3OP8AlqcqfkJb9OtbXw38K6rDL/a/xH/cWGl9R8reZ5u5f+WR3DDbfXPtzQBoWHx/1nwTbSw+LNY+z3ibfsdx9nV/tOSd/wAqRkJtDAc9c8VzD3l1d+OINQ8T2PnaJNu3fvQvm4ix/B864fH1+ldfreta54z+MmleHZtP+zrpXn+QPNV8+bbhm7D+73J69qzodHtPG/iS41TRbX7Zo0Oz9x5hj6pj7zEP99Sfw9KAKsHxE1/4YzyX+meHfs9za7f7N1P7Wj+XuGJP3ZVgchyvzdM5FeRfHf4lXviRzbQ2P2WO9/4+E80Pu2eWV52jGCO2OteteD/DEfji/sPCVh42+y3M/m/2m/8AZu/ftDPHwSAMBT909+a8K/aDvPAmofF/V7v4aSb9Ef7P9ibEozi3jD/635/vh+v4cYrj+vUv7Q+ppNy5edu3upXsk3teTvZdoybtpf3v9XccuGP7enKEaLrewinNe0nNQ9pNxhu4Uoumqk3ZKVWmlzNy5eMooorsPBCiiigCO6/492/D+dSVHdf8e7fh/OpKACiiigArU0Txr4m8OQtb6Nqfko2Nw8lG7k/xKfU1l0UAegeGv2oPjX4VuJZ9L8YbBcbfPX+z7Y79oO3kxHGMnpX0X8F/279T1f4f6j4I1q2+TUvJ/twb1/f+XK8kP3YBt24H3CM96+NKK8vFZLleLrqvOmlUvfni3Ce3L8cHGVraWva3oj7XJfEXjTIctlluGxkpYVxcfYVYwr4ezmqmlCvGpRUvaJTUlBSUrtPV3/QL4LftPfBq5+OereI/ht8QN/iLxH5H9lr/AGTcD7H9ntnWT/Wx+XJvj3feA29snFfQPxs/4KU/G3SvEWnfFE3f9ieHdE877VZeXbXPk+ckcK/P9n8xsyHPCnG7HAGa/Hyiinhc0o1Eo4hThfXngnLzSlB04pW2vCTTu22rJGLzrgvMMLUlUymVCvytQ+r4icaKdvdlOniIYqrOSk/e5cRTjKKjGMYS5py/Xn4hftvfD39uLwrbeEdb8BfZbzSt/wBk8U/2rK/+tdXb/RlhiHS3EfJPXcMd/nnxT8Vbb4k/Cy2/ZP0nxN9se63/AGq2+xGP+zNs4vF+ZlXzvM2k8SfJj8K+avAFnfa54Isp9R1b+0t3mfZ9O8gQ/Zf3rbv3gxv3YDc9MY716B8JfGfxQ1/4u6n478SR/wBoanB5P2ufMEWc27xr8qgL90AcDtzzXqHxR9Q+M/ib8QvE2rzeJfi/qPn+JvEe3+2NZ8mJfO+zqqRfuYFEa4jCJ8oGepyc1y3iLXbqX4V+HdP0q83Wl59r+2xeWB5mycFOSMjBz0696z0m8V6x4Xefwjo2JLbHnL9pj/dbn4+/jdkBunSvq74F/sy/sj+Dfg94XH7SesfaJvDv27/hIZvs9+n9ofaLiTyOLWQiLyw0Q+TO7HzY5oA8a+EX7P8A4l+PviDfH4S+y6Xe/wCtl+3o/mbEfHHmIww0eO3X06+y/Fv9sL41/BHRdU8Efszyf2zFp3keTqGLa32+YySH5LuFs5Mkq8k/dz3FeD/8FCP+CiPw4+IlyfhB4dk+w+HLT/kDNiaXduFtPN963WQfvFP3m78ccV8+6t+06P2qfijpngW88F+R4Ot/O+0aP/aO7z90AkX96I45V2zQ7+Dz06dQD0aw+JHxT+NEesa5D4a+2+ILX7Pt1j7ZBH9n3ZX/AFW1UfdGm3pxjPWvTNM1TXNH0G60D4xp/ak2m7PsVzlYPtvmOWf5YARFsBQck7scdTWR4X+BPhPxdqx8PeHdb+0eIIf9a/2aRPtuVLDhnCR7I1PQ/Nj1rr9W+GnxY8SfB3wh8Yvh/q/na3pP9ofP9ngXPm3Ag6SME+4G/hP4HBoA87+C/wAOviP/AMLP1TSNEvftmnWHkf2hH5UMfm74HZOWbcuGz0znHNcj8TPiHa32uQ2dxB9q0243efqO4p5u1UK/uwu5cN8vHXGelfRHgH9mD4kfDf4Lana+Grn7R4k1bycjZCn2Tyrlj/HK0cm+Nj6bcdzXnS/ss/FC91DT/DvjnRv7F0qLzf7R8Q/aILndkbo/3Ecu4fNtT5T/ABbjwKAOW8Z+JZ01HVfh9BpX2y3m8j7DYeeI8YCyv85GevzcntgelePfE+0074VatBZfB9P7Lcbv7WbJn3/Khi/1+7GN7/d9eegr13x38SfhfLrGqr4Kj8vTpPI8y+zOftmFXHySLuj2NuX/AGutcP4I8Krqtpc+NfipD9otr3Z5Vtu2fb9haM/NCcxbCEPQbsfWgCPwz8Y/jp8HLzUPDmg3H2y5XyvtlzstY88Fk+VkYdHI4PbmsDxJ+0TpHiX4y6D8U7rX/skN19q+3T/ZWk8jbbiFOBGC2SMcLxnn1pvjr4heJdQvbWSx1X7Ub3f9ig8hE+ybAu/5iv7zdjPOMY4rhdY07RRoN5a2p2y2Xl+dJ8x+172BHB4j2j0zmgCL9rf9ozT/AI2w6LaaTF5b2X2n7edxPmb/ACSn3o1xjyz0znvXidS319dajdNeXku+V8bm2gZwMDp7CoqxoYejhoOFNWTcpdd5ScpPXu232Wy0O/Mszx2bYiNfFz5pxhTpp2S9ylTjSprRJe7ThGN93a8m222UUUVscBHH/wAfEn4fyqSo4/8Aj4k/D+VSUAFWtE1R9F1OLU4495i3YXOM5Uj0PrVWigDtPCnjDwxY294ut6D/AGhHceX5dt9qeLyNpOfmUfNu4Ptiu7tL43lr9vB+zajZf6i9+/8AfOD8n3fu8c565rxCtnwv441nwu/l20m+2b/W2+FG/rj5ipIwTmgD0mTxZq+j2k1tdJ5vnbcPlV6HPQA+tT2XxC134l+I5U03Sf3s+3yE89f3WE+bkqu7IU9elcLB8R7K6uUk1HR8LHnZ/pB4yOei/SjRfFug6Fem4spcAfdG1vQjuD60AfTOtfF3X5ZJJ4bvzLgY+wv5aD7L0D8bMPuHr07Vy+t/G/w18ObCXRdbn+0XEm37bpe10+04IZP3iowTaGDcHnGDXztrXjXWdat3s5ptsMmPMj2qc4II5wD1FZFAH1T8Jv2nfg78YPgxJ+yx+034k/4RnR4Mf8IL4z+x3F7/AMIbuuXvL3/RLSNW1H7W6RRfvX/cb96cAisTXPiZ+yf8E723034Q23/CazJv+0eJt9/pvnZAK/6POrBcCR4+Ovl7v4hXzjRQB9a/CT/grJ8cfhXJqFn4FsvsBv8AyvssnmW0v2XZvLcSWrb929uuMZrrPHv7Bn7cfwE+KsOlfAnwP5Nh4r3f8I3df2npjf2j9lgU3Hy3E7tD5bSSD59u7+HPFfD1f0ORfB3wr8Kvi58dPFHw5+L/AJV/4n/4Rj7doP8Awj7t/YP2a32J+/ldluvPV2fgL5f3TniolUpwlGMmk5Oy83Zuy7uyb9E30N6OFxWIp1KlKm5Rprmm0m1GLlGClJr4VzyjG7suaUY7tI8G/Z/+Nv8AwVb+G3w3vrn9p34Af29FJ5X9n6z/AMJVoVr9jxNIJP3NojeZvLRJz93bkdTXuHiH4jeAvCvhuTxZ8P7f7De6XjyF3yy58xwjf6xSPuluoPXtxR8J/iz40n0jQPCaeJNsN19q2r9jjPl7Wdz/AAZOT71J4hufDHxM8E6n4f1dceKbvydt1l/9I2yBj8q7Y02xIB1569aswPzV/b+u9N/Ze/bR0T9qHwN4I8pdV+040n+0mbHladb2n+tk8z/nqzfcHpz1H01+zLo/g34keOtT+IvwQ8W/8JD4O8TeT/aVx9gktPK+zRSxR/LcFZWzMsg+ULjbzkEGvLf+CyXw78X+Ivgv8OviV4Zj/tXQvB/9r/2xq2Y4Nv2u5soov3TsHPzgr8obpk4BzXyL+xL8Pfi7rXxqt/HvwW8Wf8Iu2gb/AD/FP2C3vfsPn208a/6NOw83fh4+Adu/dxgGgD7bgvtb8J+C9d8LfFDwJ/bw8ffZfJtv7UW13/YZN5+aHOMZQ8lfu/xZNeIfELxXD8ZodNivvh//AGb4BsfO83/ia+d/aO8rjoFmh8udPfdn+6K+gPiz8T/DPjG3K/Fz4V/8JFOn/IAuP7ce035Kef8ALCoAwFQfP/d46muJ1fX/AIFeFNPS41X4af214V1nP2PX/wC2bq2+1eUQH/cAGRNspCc4zt3DINAHG+KLfw9o3xB8R2nxA8UZ0LWvsf2mx+xP/pHkxAr88eXTa5U8Yz05Ga+dfiV8VdCt/irrmv8Ahq+/tvRb37N9stvKa2+07IFVPmdd6bXyeAM7eeDXuvjPxJ8Kfi5d+F7nxVoHn6PL9t+16h9qnX7ZgKF/doFaPY6BePvYyeK8k+Otl4r+JNhp8Wi/D/8Asey0Hzfsy/2rHcef55j3cttK4ZT1znd2xQBz/hvXbK2ge98C6ttbjy9M8gnHJB/eSD/eb9Kp/FT9pf4lXtpb+H7nxJ5t5bb/ADpvscK7dxRhwI8HI44NUddi1DUvA2k6tez+XFD5/wDZ19tB83MoWT5ByuCMfN16ivLJ5pbiUzTNlj1OKAG0UUUAFR3X/Hu34fzqSo7r/j3b8P50ASUUUUAFafg7xj4k8AeJLbxd4R1H7JqFpv8As9x5KSbNyMjfK4KnKsw5HesyioqU6dam4TScWrNPVNPdNdUzowmLxWAxVPE4apKnUpyUoyi3GUZRd4yjJWakmk00001dHpv/AA2L+0d/0UX/AMpFn/8AGa1PBv7bvxs0TxJban4u1z+29Oi3/aNL+zW1t52UYL+8SEsuGKtx1247149RXkVOHOH6tNweEp2atpCKevZpJp+aaa6H3uF8XvFTB4qniKeeYtyhJSSliKs43TuuaE5ShKOmsZRcZLSSabR9s/AP9vrwza3GpeHdPm/4RMyeT9jba9/9swJGfrB+72c9T82/jpWL8TPDvhDxf4gF98PvEP2vU9S/48dB+ySR/avLRA/7+QhU2qrPzjONo5xXyBRRHKa+HlJ4fFVEm7qMmqkb2Ss3NOpyu12lUW75XG9wrcd5bmlOnDNslwlSSjySq0ozwtVxcpO6jh5wwqqxUrQqTwtRe7D2kKqjZ/W3wH8SaX8Lv2krH/hNdR+z6jpPm/a9O8ln8vzbOTb+8jDKcq6txnGccV6R8f8A4r6Z8WvEus/GrUdQ8xPEH2b7TpvksPL8hI4F/eBVznYG4UenPWvgGtzw9rkrO0Wq2X2y2GN6eZ5eOuOQM9cflXr01UVNKbTlbVpWTfWyu7Lyu7d2fBYuWFniqksNGUabk+WMpKclG/uqUlGClJKyclCCb1UY3sv0p+Hv/BQzx7+z74x+IuueD4v+Eg1Lxt/ZH2vxBuitP7B+xxsq/uHt3W689ZGTgL5e3cck8eUeAvDd14Z8Jw+FLXT/ALQ8u77LdeaE87EjO3yknbjOOTzivB/hPd2Wja/Hq2kX39mfZc7pvKM33kdejZ9SPx9q+mtXvfDniSK20jxBdf2YTv8AL1bY83ox/dLj0C/jntVnOdbrHxfv5dF0jwNoer+Zrk/2j+2Ln7OB5O1hJF8rJsbKZHynjvzVH4AeL9Z+BNhqU3wa+EP9n63ZeT/ZfxO/t9Zf7D3mTzP+JdOHS585JHt/mz5efMHOK9E1O2+A+lpqvxu8aeK9t5rPkf2dpX2G6OfJxbyfvY+OhVvmUegz1r5s+M/xbHgCxs/ih4T8ZbPtXmf8IrZ/2dnz9pSG5+d0O3buJ/eLz0X1oA+jvBP7UHjL4NfEPWvjf8TNZ/4SWbUPs3/CR/E/7PHZ/aPLha3t/wDiXRRME2h0t/kUZ2+Y3UmvNPBPxd8C+M9bn8KfswfDj/hE9R1PbnxH/bEt/wCf5as//HvdoFXaqyx9Rnfu5wK2P2VP+CG3iX9pLwLa/Fr4n/FL/hFINR3/AGXQ/wCxEvt3lyzQt++ivUIwYkflR9/HYk+u3H/BLvxN4Asbb4e+E/jx/aWhaJv/ALH0/wD4RdIcecfNl/ePcl/vsW+YnpgYBxQB4b8XfiT4n1T4eaPZXniH7Reat9o/taP7IiZ8qZDFyFx0H8OOnOa3v2irXV7fwn4b0H4gaj5+oN9s+03fkqvmYkiZfkj+UYXaODz19a9k1j4NeH/i38L/AA54c+MJ+xa/oH2z7RN88m7z5wy8QOqD92iDgnr2OarfFv4TfC34g+K9R+IPiPTPtl3rPk/2dJ508ePJjSKThXA6KPvAdOM9aAPDdZ0q/wDDPwkgOpXu2+1Xd5cvlg/ZPKuBngEiTcpA7Y964bwf4XuJLTTrzSZfsek2HnbtQ2iTyt5YD92x3Nl8r3xnPSvob4v/AAbX4qfErUPEdx8RvskEvlf2XD/ZHmeRiFFk5DqW3FM/MOM8V4b8TL7WvBGqDwPoA36Vpn/HlL8o3eYqSPw2WHzsRyT7YFAHIyapovi27t/hrpNxnQpt/lxbG/0zA808sA8exwT1+b6cVyXi7wougrD4M8fT/YrmHd/ZT7fM352yS8RkgYBX7x78d67DWBbfAlrWw8SXPna82/fbbCv9k9CPmXek/mxyA/7H1rzbxNfyeJryz0oyeRaa35m9sb8eSAR6HqPbr3oA4zxYvhzTr+4i0uz8uyudn9jN5jn7RtA87rym1ifvde1eT6xqR1fUpNQMWzzMfLuzjAA64HpXt/jGze+8JWkV1Z+W1t5n2CPzN3mbpF38jpj369q8HoAKKKKACo4/+PiT8P5VJUcf/HxJ+H8qAJKKKKACiiigAruvB37Snxr8AeG7bwj4R8afZNPtN/2e3/s62k2bnZ2+Z4yxyzMeT3rhaK5sVg8JjaahiKcZxTvaSUlfvZ311Z6+S8QZ9w3ipYnKcXVw1RxcXKlUnTk4tpuLlBpuLaTava6T6I9I039pTxVP4hn8VeObP+27+fbvn8xLb7qFB8sce37u0dP4fevpbwr+198PvGvhTT/2f/B2p/2ZYy+b/aCeTLN/amJDcx8vEDB5bK33X+fPPTFfENX/AAw2mJrkDaxeeRbfN5kvls235TjheTzgVtTp06NNU6aSilZJaJJbJLokefisVisdiqmJxNRzqTblKUm5SlKTvKUpO7bbbbbd29WfWPxF+IngT48DSPCfhLw19k8MeGPtHl6l9slk+0fadrn926pIm2WNl6tnOeBX0R/wSW+OGqfDL9oS8/Zb8G3O3VPiz5fkeMtin+yf7LtLy7b/AER0ZZ/NV2i5ePZ9/wCY8V4Z4Q8LeKPG6T6/pujeZLDt+z3X2hBjO5W+UkdlI5HvXS3178a/gT4rg/aI0O1/s/xdpu7+wNb320v9l+ZH9mn/AHLb4p/NikKfOh2ZyOeaswOy+Ov7Sfjj/goV+0et34wH2TwPouf+Ee0H91J/Z/nWcYn/AH6RwzS+ZPbK/wA+dudq4Xr90fsq/s4eE9On0u5tda+1nTfP/tKw+zSR+d5gmEfzmT5cZ3fLnOMGvmT/AIJ6/A3Ux4Ng+IXjfwtm21Hd5V39uX955clzEfkjfIwdo5Az1969x+IfxL8U+BPhzrPxm0Gz26xb/Z/7Jk8xD5W6ZYJeGUq2UY/eXjtzzQB6J+1V/wAFCvg7+zd4us9AuU/tnX7XzPtOl5uLfyd0cLL+8Fu6NmOXdweNuOp4+Uv2gf8Agrt8ZfiBHFH8ILH/AIRCA7ts/m2+oeZ/q/4Z7QEYKuPff7Cvj34dLp0es634f8XfLb232bLcnZuVm6Jycnb3rWv5ftOqNYvb7Ltcc78+dlQfouB+dAHo/jX9qn9qy/uLi98f/EbdeT7N4/sixHm7QoH+riwuAF+v515t4r+JvxN8VWVtper6r/atla7/AC9N8iGDy9xBP7xVBOWAb2xjvVvxBoviM6cPEWoXH2eN/uXGxH3YIU/KDx2HTvWd4r8d+EvB/hCy0yxuP7aOn+Z9rTZJbfZfMkBXkqd+7d2zjbz1oA9M/Yu8f6B8ArDVfjx4lu/OeHyPs+k+W6/a8me3b96iv5ezzA3K/N09x2dp/wAFMviumm23h3RvCnlXI3+ZF9ugbZ824ctbYORnvXhWs6PpWseKYfFviPX/ALJ/aG77Dpv2VpN/loEf94pGMYDcgdcCuZfxT4v+Nvia21C0037Kg38edG+fkx3C/wDPP9aANb40/FnxB+0hqSaXJD5V1eZ+33O5G8zYqFPl2IBgRY469/fhfCL+MNBg1HxToPjP+x7TU/J+2D+zo7jd5ZZE+9kjknoB97nOK7zxt4kHh6Cfwrq979tvo9v2xfL8vOSrpyoI+6R0Pbmsq38DaunhS2sdN8L/AG1NY3+Sv21Y9nlSZPVuc89cdO9AHm3ijwpb+Krhddjvfst5qOfstr5RfzfLAVvmyAuAM8gZziuM8VGz0bTr60tk8m4Tyv3WS3l5IPU5ByDmvYZNOnt9Z/t241r7dq//AC7z/ZhF5Py7W+UfK2U45HGPWvJ/iTeeH00aW3025+1ebt8mTY6eXhlJ4PXPPXpigDz6iiigAooooAjuv+Pdvw/nUlR3X/Hu34fzqSgAooooAKKKKACiiigAooooAK9K8PeD4fC2hzazPZea/wAvk3Xmbc/MVPy5Prjn6159o+mnV9Sj08S7PMz823OMAnpkele0eIfseofCHV1VsSx/Z/s8mD3uBu46dB3oA7rw/wDs3eJLrRntfAFh9tvLLHnJ5qR+bvYkcySYXA3dM5x9K9D/AGLv2TvEPxm8Yzarqnh/7L4Yk2/2qPtaSediOcRdJVkXEqD7vXPPFcLc/Ejxv8PvGEWq/DfXP7MvPm8+8+yxTed+7wvySqQuAzDjrnPYV38P7Wnxk+Jnwybwh45j+1/aMY1TNvH5W2bf/q44l3Z2KvXjGaAOp1b9t7Xfiz+0zfWniefzPA+r+V9q0Hao3eVZAr+/SFZh+/QPxj+7yteVftheHPAHwm+K+qfC/wAG+F/P07TPI3/6bKv+sghmH3yzfedv4j+HSun/AGB9MXxD8YrX4w6pqflrpu/z4/JzjzLe4gXkEeg6Kf61B8L/ANsDx748+IaaN8ZfFm/Q77P9q3H2CIbNkLtF8sEQc5dUHyke/GaANfx1+3xrvxv+CkXgzxDZ/aZp939o6l5ipnFyskf7tYFHSML8p7ZNdj8DvDWkfGbwhpHxS/aI8EfbLyw+0f2XqP8AaTR/2hvkkhl/d2xUReWEiX5lO7GR3NfI3h/WfCPgP4hJqnxik8+xuM+bbYkXztsRA+aAErhmQ+/516/4z/bp8H6pZR6loU3lwpnMm2Q4yVHRoM9QaAPYvjd+17Y+H/Et34V0rwh9otYfL+wS/wBoFM5SN34MRPUkcntxXwd8T/i+mras114bv/Oc4xd+Vtx8qD7rp7EfrR8ZvjL/AMJtqE0el3PnRy7fMutm3zMBMfKUGMbSPfrXnNABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBoeHvEd/4dujPZv8r/6xMD5sAgckHHWut0v47axp7JGljhEzs/er8uc5/g561wVFAHqcv7SUzXNwdR8P/wBo+bs/ffa/Jzgegj+g/CqMH7QV5LZ3Eet+HPtlzcbM3P2wR42n+6seOmB+FedUUATX9/d6ndvfX0u+V8bm2gZwMDgcdBUNFFABRRRQAUUUUAFFFFABRRRQAUUUUAFRx/8AHxJ+H8qkqOP/AI+JPw/lQBJRRRQAUUUUAFFFFABRRRQB9Q/BP48eG9U8FX+ian4Z+3pP5X2vTPtrxeTiSRk/eBPmzgNweMYNanj/APar1WLSbX4e/Cz/AIkmnjf/AGla/Lc+b8yyx/NNFuXDbz8p53YPQCvk22uZ7Odbi3fa65wcA9sd69J+DHjjw0oTwn4m0nzoZc+cv2h1+043uOUXKbTjoeaAP0k/ZR+JfxFvPAWnHxZp+69Tzv7Q1jzYR5+ZZvL/AHSLhdq4Tjr1Nd18fvB9n8QPh9c6fDB9puJdn2dNxTz8SxlucgLtC9+uK+J9Y/b1+KV18RLO38Iw5sp/M8nw9ug4xCCf37wZ+9ufn/druPj1+1r8W/hZ8b/+EbtdW+06Rbf8fmkeRbp5262jdP3piZlw77uDzjB4oA8Z8CeAYfGKanP4jl8i2s/J+06ltLeRv3bf3asC24qF46da8h/ak+IMnxC+Leoaitt5NunleRDv3bc28QbnaCclc819A/tOftiapJq5v3ssRt/x523mr/pPyxB/m8n5NvXnr2r44rjjhL454mcrtJxirW5YvlcvVycVdvRJRSSfM5e9Uzvl4ejlGHp8kJTVWtJvmdSpD2kaVtEoQp06k0oq8pTnUnOco+yhRK9a/Zp8Maf4s0PxPpd3L9mlP2L7PqW0v9l+aUt+7BAfcBt56ZzXktdJ8KbyytPGVs11a72O/wAuTeR5f7t88Drmuw8E+oPDth8O/h1HP4g8IQ/2jdNs2/NNDsxlT9/cDkM3btXW3nwZ+N3xG1ZrXVdB/sjTWx5S/ara4+z4XJ6OrPuZR9N3oK5jwp+1V8RPAFjFZ+O/hh/aeoWG77HqH9tQw/Zt5Jf93HEVfcrKvOcYyOtQ+J/2nvGfj7Wn1XUbzy/DOqY+xWnlxnb5agP8wiEhzKoPOPQZFAHUa3/whHwp8DyeBfCOk/8ACUanBj+1z9olstm6USRff3Kcq7fdP8HPJrzn4kfGG28W6LaeG/CNrvlvvM8y33kbNjKw+Z0GchWPUVj3Wj6V4p1GbxH448U/uTt/f/YW442/djIPUKOla2n6hoHifxXZ+GPCb/2ndan5n2W7w8Pk+XGXb5XwGyARyRjGec1FSpTo03ObSildt6JJbtvokdGEwmKx+Kp4bDU5VKlSSjGMU5SlKTtGMYq7cm2kkk227Iv/AAX0d7DVIfif8SPHPkWXhTdsg/szdt+0q8R5iOTk7T91vw5NfJlfS/7RvxY1j4WeGJfgPoup7JbPb5t15Kn7VveK4HysjbNocj73PX2r5orxcnjWxVatmM37tXlVNXTXso3cH8Kac3KU2m20pRjo00fonH9TA5NgcDwnho+/gfayxMmmm8ZVcVXgv3k4uFCNKlQUoKMZzpVKkeaM4yZRRRXun5mFFFFAEd1/x7t+H86kqO6/492/D+dSUAFFFFABRRRQAUUUUAFFFFAHrf7Pdzp2uafPolzb4uLLb9mO8/vd5kZumAuAO5Oa7HQNQ1ObxVL45spfN1aLb9oh2qvn5QxryflXCc8Dn6189aZqd9o18mpabP5c0edj7QcZBB4II6E12WgfEhr+7+zX0fl7vu85zwT2WgD6LTUjZ+IU17wHr3lSSZ2x/Zd2cJt6yD/e7f0qTVfjjaeHvhnL8Rdb0/7dftt8uTzTFv8A3wiPCoVGFI7dvxrxS+ttK8aa2rafL9luRne21n3/AC8dcAYCn865/wCOXiK2u9ZTQ9Nut0VtnzE2EY3LGw5I9c96AOK1XVb/AFq/k1PU5/NnlxvfaFzgADgADoBW/wDC7xFLpXii0SWTCL5m1sfc+R89uc5rmKVHZG3KcEUAfsd+xbr/AMMdW+FOr3/wp1P7bqui/Z/+EjsvJmi+y+dPOLf55htfcgc/JnGMNg4rsNR8Y+IrOdr251fNk/33+zp2AA4Az96vy7/ZM+MvijS/ivp3i3w/8Rf+Ec8Y6f539k6x/ZCXnm+ZBMkv7pk8pcQkr8wOd2RyK+zfh7+3xo3xa8Y3Xgf4jfDn/hGL2fZ5tx/a7XvnbY2kHyxQKFwqKOvO/wBjQB7/AGOv217KJtVbymu/+QiMFvL2f6voOc8fd6d65PX31ab4fy+Jru52zart3HYp3eVKE7cDj2H41J9k0HX/ALTqWka/58kuzyv9FZfKxwfvY3ZAP0rgPid8XbDw/Hoeja3d7bxvtOyXyyd+NjHhUIGAQKAMXxZ8E/g7qHjBNWNl9lgss/2lpXmXD/b98YEf73fmLYRu+XO7ODXinxX8SfFX4l6nb3XjCx8i2O/7SnmwN/CgXlAp6qvSu78SfG1LD4b2Pj3wd4P+0Wd55vn/APEw2fZtkwjX76ZfcS3QcY/GvNfiB8SviDqlvL8TfhbqX2XTL7b51h5MT/ZNhWIfPMu6TcwduFGM46YNAGCng+x8MeFdLs/F97/Z8yef9s0/yzL5uXynzoSFwCrcdc4Nc58XfGR8Pfs+TQ3/AIk/tWXx7t+yH7H5H2X7Ddpu6Ah9wI67cY43Zrb8ByeDvijq+p+MPifB9rtdO8n+1590kePMVki+WLaeqIPlB6c968P+P/xTHxc+JN74qtIvJspPL+y2+7d5eIY0b5iqk5ZM8jivExUpZhmMcIov2dNxnOWluZO8Ke91JPlqvsoxTuqh+iZRRp8McJ1s8qVEsTilUw+Hp+8pqlNOGIxWsXB0nB1MJBO/NUqVpwcZ4XXiaKKK9s/OwooooAjj/wCPiT8P5VJUcf8Ax8Sfh/KpKACiiigAooooAKKKKACiiigAooooAK/R/wD4JkftM+O/jn4u+I9le232vxr4u/sffeb4o/tX2WO6I+QRpDHthjx/DnGeWr84K7P4AfGzxL+z38VNN+KvhRd15pvneXHlBu8yCSE8ujgcSH+E/wBQAfr94IsrO4tdDns/Df8Aash+0+av2wwedywHX7uP1x7129h4+1Xw/pGpwXNz9k1T9zsGxZP4ueilfun9fWvJP2Y/2j/gL8TLXb8JvHnkaPa/8fHh7+y7pvsm4y7f380avJudHfjp93pivS/FEOhaZbMmrp9gV8faUy0ucEbeV+o6etAHLfFb4AzftFfBzxN8CNd1X/hGrbXPsX2bVfIF5/qbhLhv3SyIesQXlh97POMH4X/Y08R2nir4HXfgGwb7Nd2Xl/a7jBfzd9zPIvykALgAjgnOefSv0BtPEniG81eU32pbVm240zyUPlYX/noB82fve3SvzK1ey8WfsiftE+MvAXhOL7RoNh/Z39tadujT7TvtBJD+8fzHTbJMW+UnOMHjgAH0BN/aum2+pa/p2of6Po3k/a38pf3XnHavB5bJJ6A49q4/TJ30K+8RfD+7sfNtB9k/tLRfN2/2nwZI/wB8MmHyyd/yn5+h9K5m0+LWo6b4703VWvvM0vRvO+yQ+UB5fnRYbnZuOWOec47YFNvvFVh4T8ZWmjaDD9g0648zzbjcZftG2PcPlYFk2sSPfNAB8StKtfA3iVfFVpZ7bbn/AISB/MJ875FSDgklcFv4Bz3rntC1ganaaLb2dl9m0mL7T59j5m/fkkr85G4YcZ49cdKwvHusWPhf4f6Xr+nr/wATL9/5r5PH71VHBBX7pPb9awvDfjzSfDPgOSyvNKwZ8faLrz2+XbKSvyhTnrjj60AUvjNrVnrFnJ4nuD/Zl/qGMadzN5vllE/1gAVcKN3QZzjtXlla3jHxdfeMNUOoXSeWg/1UOQdnyqDyAM525rJoAKKKKACo7r/j3b8P51JUd1/x7t+H86AJKKKKACiiigAooooAKKKKACun+FFnpzeJk1fWV3Wdpnz0yRu3o6ryvI5x0rmKlsr250+5W8s5dkiZ2ttBxkY7+xoA+gNU03RtH8T6Fpnhuf8AsxT9q8y62tNj5AR8rE+pH457V7Jqmi2ep6R/wl1lp228b70nnE4wwToTjoPSvI/g5Z6b8aoX1HQtP+z3Om4+0R+aX+x+ZvC8ttEm8RnpnbmvfdN0xbfxRpGj6LFutbT7R/aVzux5e5C0fyscnJyPl6d6AOU8Q3Xhay046ZYfeuv9TH8/y7SCeT179a5H48ftVfs4SfGe0udQ+Bv/AAm+jaP5nkJ/wk15pvm+bbRg8iLeuHx1zny+waqvxhg8I6F8ZNY8Zzan5+mw/Z8nyJF2Zt0j92OWPp+lfMeu6xda/qsur3hzLNt3dOyhewHYUAfqj+xp/wAFirX4n2p+Bus/8UKsP/Iv2/Oqfa8me4n+ZbRfL27AfnbnzOPu4r6n8WaLd6BpWn3F9bf2pfyebvuN4g34YAfKCVGFOPw96/n8r7n/AGB/28fihougHwCmueXNbfeuPs0B8zc9xJ93yCBgHHXn9KAPul/tum6pC9vefa0sd3mReWI9m9eOT1znPfpVfXNO1TRvC0+mtPvhtNvkvtUfatzgnjkptJ79a+dIP2zP2htS+KOm6c2of8JTZar539n6Z5VpY/avKgzJ+88nKbWG7nGdmBnNeieL/GWkaDr1xfWkPnQLs+zvuZfJ+VQ3BBLZJ79KAOg1W80vw9pureLYvG3nyxeR9tb+zWXdkhE9QOD2H1rk18VeAfDHiS6nlj/s5Y9n2Z8yzeflPm4wdu3PfrmuF/aA+KfjL4e2NrbeA2+zzahv884jfb5ZjK/6xSDwzdMda8f8I/FnxD8Uri4+H3ie8+2x6ls/s6fy0j8jyw0snyoi7s7APmIxjj0oA6Pxx8JNQ8R3+oWM+vfYkn8rEn2USefgKem8bduPxzXnvxG0Twd8PtXXUfH/AIv+3Pz9jt/7Pki3/Kof5oycY3KefTjvXNa549muLyLQ9fg+z2eo7v7TG4P9p8sBo/urlNpx90jOea5+7Ot/DjV5ksYf7Rgudvl3G5YfN2rz8p3FcFse+PegBvjGLTPDvwxk8c+ItN/tx9ex/Yepec1r5HkTLHN+7XO7dkL84GNuRnNeFV1vxi8SeFNf8UMngrwn/Y+nwY8i1+3yXGNyJn5pAG+8GPP97HauSrmwsans3OpdSk7tPp2jbmkk0klLlfK5Xkl7x62c1cK8VGhhmpU6MVCMkl79m3KpzeyozkpzcpU/aw9rCk4UpSfs0FFFFdJ5IVHH/wAfEn4fyqSo4/8Aj4k/D+VAElFFFABRRRQAUUUUAFFFFAH1j8Cv2l/GOu6PNpfgaPyNQTbttcxt5OWkP3pIwrZUMfavpf8AZt/a51Hw1+z9qfxJ+K/hjaNH8nzdY+2g/a/Nu5Yh+6hiPl7covQ568cmvzX+HXxAvvh/rQ1CK2+02z/8fVnvCebhWC/PtJXBbPHXGK+iPDv7Uenan4Ytfh/J4p/tHTI9/nWP2Ew5y5kHz+Vu+8M8HtjocUAer+If+Cnnx78VeNrXxH4N1v7Ha2+//iU/ZrWTyt0YX/WvbAtkhm6cZxX3J8e9W1HUfh1qtnZ+H/tMzeRvtvtYTP76Mj5iMdBn8K/N/wDZ4X4Y6F4D0a/+Ireelr9o8mTEy/elkB4iz6r1/wAa918Qft9eG/E3hm40u50f+zrptnlw/aHm3fOCeRAAOBn8fagDzn4K+Hxq3xQ8aaHa2n9r21h/Z32eLzPs+7fBIzck5HIzyT0964747ftL/AXwtNPceDbP/hIdfl2+ZceZdWn2fAjA+V4yj7oyw9tvqa8Y+NHxguYfEjQeEf8AQpUx5y8SbcomPvpg5G7p615LQB0nij4r+N/FviCLxLq2rb7mDd5D/Z4hs3IEbgKAchR1Feg/BX4ra4Jrq5ttK/tXWp9mR56wb8eYO67BhP5eprxqum+Eo8Q3njO20Xw5Ntmu9/y7UO7bG7fxcDjPegD6q8LfArxdJ4hXxZ4y1/7deXefs8P2WOLdsQo3KPgcbTyO1d14l+EHxn8U3cVvJ8Nf+Eb03Ud3nXX9s215/qwCPl3hvvDHGPvZ6CsrwV4Y+LHw90+88YL+0n5R1by/tNz/AMIdA23yiyL8uTn72OAPxrI1/wAC69qV7P4c8Q/G/fK235f+EaUZ4DdVb0A70ATxeGPh18KPEN5p0Nh/b2v6V5e1vNmtd/mpnplkGI39/u9ia871n4/eKvFnim11TW5/L0yLf5Om7UO3KAH94sYY/MA3P06VueL/AILeGvC2i6jq3iTxButYvJ+y3f2RxjLKG+RHJPJA5+tcdYeI/hF4fjknjT+0Lyzx5eoZuId2/Of3eCBgHb+GaAOfSw1XWLRrfXdQ2LNj+0YvKU7MHMfK4znAPy/jXEfGC7je5torG18q2O/Y2/dv4TPXkYNdrN488NfbpTpmjeSx2+TdfaHbHHPylfqOfrXmPxC1q81fxFL9oufMSPb5fyAYyi56AelAGHRRRQAUUUUAR3X/AB7t+H86kqO6/wCPdvw/nUlABRRRQAUUUUAFFFFABRRRQBb0PXNU8N6pFrWi3Xk3MO7ypdittypU8MCDwT2r2DwZ4o07xxONa03Tc3kf/H5Yece4ZU+cgDopbgexrxSigD6D8TeMrywtBrPjaPzYpf8AWSZC4wQo4jGepXtXmV78QNG1LV0e7hzE2d825vl+XjgLk5IxXE0UAfQ3wV+N+o/CDWUutCk3qmd8WAPtGVkA5ZG2bd5PvVP41+JdD8O31tqVt+7W637bP5ju2iMffIOOuf0rxDRte1Xw9di+0e68mUdH2K3YjowI6E1Hqep32s3z6lqU/mTSY3vtAzgADgADoBQA/WNb1PXrs32rXXmyt1fYq9gOigDoBVWiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKjj/AOPiT8P5VJUcf/HxJ+H8qAJKKKKACiiigAooooAKKKKACiiigDV0rxdqunarDqjyea0G7auFX7ykenvWzrXxp8b6vEsCaj5SjO8eTE27pj+AY6VyNFAEt9fXWo3TXl5LvlfG5toGcDA6ewqKiigAooooA+hPCPxG+KV1o0Go+C/FX2q3ffvtfsMCeVhmA+aRctk7j7Yrp9U/aG1jRrybSvE/hnybpdv2yP7ardgU5SMjoR0/Gvm/wJ471jwDrA1XSnyD/rYsL8/ysByVOMbjXb6p8ddH8Ui6S80P+zrd9m20+0tN5mMfxBARgjPvnFAHuWo+EvBeqeBtL8beJ/CP9laSvn/bdR+3yT/Y/wB6I0/dod0m9wF4Hy5yeBWKfjJoXw70290H4MeHfOe88vyfEH2tl83Y24/uJ0O3G505PP3vSvFbj4qWWlRvYae/2634yMGLf37rkYJP5VyPiDxLda5Odsfk2/8Ayzt8htnAz82ATkjNeRXyr+0JNY6fPTvdQS5YaO8ebVubXVOXs3p+7TVz73K+N/8AVejCfDmH+rYpwcZ4mU/a17zg4VFRfLCnh4STvFwpvFU7ySxThJxJPGOu/wBtaoRb3fm2sX/Hv+724yq7uoB6jvWTRRXrnwQUUUUAFFFFAEd1/wAe7fh/OpKjuv8Aj3b8P51JQAUUUUAFFFFABRRRQAUUUUAFFFFAGjZ+LPEFhZJp9pqGyFM7E8pDjJyeSM9TWdRRQAUUUUAFfRP7O974v8beFbtLK+/t1v3f9p+HfKjtfO+eXy/35xtxt3/L127T1r52qS1up7Odbm2fa652tgHHGO9AH2BqPinwP8MfFz3HhAf2F4i07H2UZluvs/mRgN98Mj7o3brnG71FWfir8UU8eeGdK+I3iTSt9uvn/wBoRefj7N86RR8qoL7io+6OO/rXzBpXxb1WzRxqNn9qY42P5ipt654Cc54/Ku18V/HrT9Z0F9Ntddx5mP3X2U/LhwepQZ6ZoA9C+HPjPXE8GeJtY0rW9uoXX2LyZ/syn7sjKflI2/dyOa5Pw58RfEfh64u/DkGu/ZLWby98v2VJNmAWHG0k5J9e9cE/j3QI9JTT0n8xlz5jbHHmfNkfw8Y/WsnxT8StY1+4Enm42fcfavcDPG0elAHV/Ev4vtfeE7HwUkeJNM837FHn/jz8yRZH52fvN/uTt7Yry6nSyvM5kkbLHqcU2op06dKPLBJK7emmrd2/Vttvu3c3xOKxWMqKpiKjnJKMU5Nt8sIqEI3fSMIxjFbRilFWSSCiiirMAooooAjj/wCPiT8P5VJUcf8Ax8Sfh/KpKACiiigAooooAKKKKACiiigAooooAKKKKACve/2af+Chnxt/Z8uNO8OX15/b3gyz877X4T8u2tftW8Ssv+lC3eVNs0nm8Hnbt6HjwSigD9TNa/ab+GOu/FiH9m+Txb/ad3Lu+12f2CaHzMQC6X5/LAGAM8PzjHfFfNP7bvwuPjn4lH9pj4aS/b9H1b/kI3m3yvs/lQwWsfySsHfc6sPlQYxk5GDXI+DfGfhv9r7wzb/Cr4q6h9k8ZWm//hH9f8p5PP3u00/7iERxLthhRPnbnO4c5B85139n/wCPXwl0qX4g634S/s+10/b5t39vtZfL8xhGPkWRiclwOh6596+fwGeQdT6pmDjSxCaXK3ZTvopU2/ijLovii7xkr6v9U4m8NMXDC/27wrGrjspqRnNVYwcqmH5EpVKWMjBNUatJNNzdqVWFqtOXK2o+2ePdQsPGuoaT8dtA03yY/Ff2jZoHnFvsn2ULbn9+2PM3FS/3Vx93nrXn/wATtZ0nxhbi2+07beD/AFUOxj1KE84B6rnmuV8P/GP7Vodh4W8TT+XZ6T5v9mHbnyfNYvJ9xMtk4+8Tjtiqfijxfptnpk9jousefLcbcL9nZPI2sD1YYbcM/SvoD8rOJmmknkMsrZY9Tim0UUAFFFFABRRRQAVHdf8AHu34fzqSo7r/AI92/D+dAElFFFABRRRQAUUUUAFFFFABRRRQAV7RbftwfFS80CDwz4zf+1rRd32yPEFv9o+fenKQ5TadvQ845614vRQB6T8eP2u/2hv2mtC8OeGvjf8AEL+27Lwl9s/4R6D+ybS2+yfamjefm3iQybmijPzlsbflxk582oooAKks7y4sLhbu0k2SJna2AcZGO/1qOigD6P8AgL+1sfB/hWXTH0zGpR423fn/AHsvIfu+UVHytj9etdJqv7SHxK8QQHwwmqfaZG6S+RCmeQ/Tyx6Y69q+TK7HSPjX4qs4Ht9Wf7avHk8JH5fJJ+6nOeOvTFAH0BL47vPE/hSbwH4sj+3atpm3/hH4siLyvMk8yflFCtlAD85OMcYPFY+n63J4a8cxeKfs2yKx3eddb8798RQfLgkYJxwD614LN8TPGN2swvNV8xptu5vIjHT6LVzQPjd8UPC+uR+JNC8T+RexZ2TfYoGxlSp4ZCPukjpUVHUVNumk5W0Tdk30u7Oy87O3ZnRhY4WeKpxxMpRpuS5pRipSUb+84xcoKUkrtRc4pvRyjuvRvFGrS6/pcWr6m+b593lSY/1GGCngABtygdelcB8QviRcatqVxb6ZJ8kmzzbjA/e4CkfKV+XGCPesjx58RfGPxN12TxL441j7dey43z/Z44s4VUHEaqPuoo6dqxKKbqOmnUSUrapO6T62dldedlfshYqOFhipxw0nKmm+WUoqMnG/uuUVKai2rNxU5JPRSluyiiirMAooooAKjj/4+JPw/lUlRx/8fEn4fyoAkooooAKKKKACiiigAooooAKKKKANnwz8QPF3g5WXw5q/2YPjd/o8b5xn+8p/vH862rb4069BNcM1vujl2eRHvQeVgfNzs+bPv0rjKKAJLy8uL+4a7u5N8j43NgDOBjt9KjoooAKuaBrd74c1eHWdPfbNDu2HAPVSp6gjoT2qnRQB674WvvBfjGaca7re25uduL77NIcbc/wLgdFA/WtTV9L1bw3aJc+CLv7WsOftk/lrHjJAT5ZCfVhx6c14cCQcitHTvFviDSrdLSw1Dy4487F8pDjJJPUe5oA9z+C3iTxXr/iODwxpNx9oWbd5lnsjTfhHcfOwGMYJ69sV33jLwj4X8CaTZeOviPoX2nWL3zMaB9qdPtWxlj/18RKptRlfoM429c14p44/bA+LHj3w/ceG9Y1TNrdbPPi8iD59rq68rECMFR0NcRqHxAvbyyNrDbeUx/5abw3cHptrxJYfOca4qtONKF/ejTblKSs9PaNQcE29eWHMrXjNN6folHNeAOH6VR4DDVMdiHH93VxKhSpUpc0Xd4SEq6rSiouzq4j2MuflqYacYe/u+LvGNlZOph0f5rjPmJ9oPy7duOcc1wVFFe2fnYUUUUAFFFFAEd1/x7t+H86kqO6/492/D+dSUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFRx/8AHxJ+H8qKKAJKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI7r/AI92/D+dSUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEcf/HxJ+H8qkoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKjuv8Aj3b8P50UUASUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFRx/8fEn4fyoooAkooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAjuv+Pdvw/nUlFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/9k=", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "show_qc_image('./afni_pro_glm/sub_08.results/QC_sub_08/media/qc_02_va2t_anat2temp.sag.jpg', 'Anatomical to MNI template Alignment')" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "📊 Full F_stat (stats.sub_08_REML)\n" ] }, { "data": { "image/jpeg": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQoKCgoKBggLDAsKDAkKCgr/2wBDAQICAgICAgUDAwUKBwYHCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgr/wAARCADaBQYDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD815v2RvgT8JP2SPAf7QXxV/Yt/aI8aR6p4SXVviH4w8JeOrXRtB8L3Vzq11Dp1hced4bvvs0k+mnR7+PzrgNNFrFrKieXPCz8l8Av2Z/2YtA/Yq1z9uv9rjxTr2rWFz48/wCEH+Hfwv8AAPiey0nWdX1SG3tr6/1K5ub20ulg062tbiGPMNtcPJc3kCObdNry+u/DDSvij/w8x/ZJvfif+0f/AMLN8L6h4D8ByXV99gmt9M0TwJHZrBrehXAdBaPp1jZw6xa6g8Ty2zpFfm8ZJzfwRVP2k/hj+zF8Yv2G/iXrv7G/xUsH0T4JftReLde0zwNJFPHdL8P/ABB/Ymm6XrEb38qXE8cNzptnaPGEmnVtQiefyRgyeJB4iTjFydptNyTdkm2lHV+7d2jdJaPo0m91TbV0vyPRP2e/+CT37Cfxs/4KW/s/fszWHxG8ean8Nv2jPgNB440m40HxjpcmqeENUFnqEt3ptxejT3t9S8i50i9tnC21m6PMFYBrZ1m/OHxVceGLzxPqV34I0e/0/RZb+Z9IsNV1JLy6trUuTFFNcRwwpPIqbVaRYoldgWEaA7R+zH/BPX4IJ+zJ/wAFtf2Av2dtV8U/bfEnhj9mrULjxlpNzY/Y77w9qeq2vi/XX0q9tWdpLa5t49VhQpLsdl2SlEEqqPxZCEjIpZXVq1cXOLm5RUINed51Vf5qMf6bJmkl/XkJRTo4i7hOmaWaEwnBNe/7OfLzW0M7O1xlFLJG8TmOQYI6il2AHlsfhS5JXsIbRSsADwcj1pKTVgCigAk4FBBBwaQBRS7G9KQAk4FOzAKKs2Wj6jqAZrO33hcZ+cD+Z9qrVc6VWnFSlFpPZtb+ncpwlFJtaMKKsWOlX+pJJJZQb1ix5h3gYz06n2qK5tp7SYwXCbXXqMg+/am6FaNJVHF8r2dnZ/P5A4TUVJrR9RlFBBU4IoAJ6Cs7O9iQoq1p2jalqpcWFt5nl43/ADqMZzjqfY1Z0HwV4r8U+KbbwX4d0f7Vqd3v8i2+0Rpu2oZG+ZmCj5QTye3rXRDB4ucYuNOTUnZWT1d7WXd30supvTw2JrOKhBtydlZN3b0SXdt6WRkXX/Hu34fzr7Y+BX7LX/BP7Wv2iPgT+yd8QdI8eeM9W+Lw8Hi8+IHw7+OWgQ2OmS66bYTW0mljRr6W1udPmnltZbe4u0mmaz87ZbpcRovxRcJKdPW6ePasudhznODg1+g3/BOfwh+0Z+yn/wAFIP2evgr+zJ+0n4t1vwz8fNP8Iar42s/hxPqthHeaRfxPFrFncGHCTSaYkmsRNfW0kn2KS2mlWazu7eeK18fMlKFJ3k4tRb6x6XvdbWWqT0fbqohH3kmux4r8Bv2YP2Z/Dn7FWu/t1/td+Jte1awufHf/AAhHw8+F/gHxRZaTrOranFb219f6lc3N7a3SwadbWtxDHmG2uHkubyBHNumHl+lP2e/+CTv7Cfxs/wCClv7Pv7M1h8RvHmp/Db9oz4DweONJuNB8Y6XJqnhDVBZ6hLd6bcXo097fUvIudIvbZwttZujzBWAa2dZvOvjH4C/Z58d/8E3PiTpX7Jvxq/4SOx+CH7SniPVbTQ9ZVbfU73wFrQ0PTdN8RN5y27TYutNtLaWGGAyI+pRvKluuwP8AX/8AwTz+CZ/Zn/4LZ/sBfs76x4l+2eJPDP7NN/c+M9JubL7JfeHdU1a18X66+k3tqztJbXNvHqkKFJdjsuyUoglCjzs3rQo4WdWhXl7Tlqtxaa5OWLcfuXJK/wDfs9FY3lTpJx5Xe9r+Tu1bz01PyG8VfDLxDeeHtS+M/gj4f3+n+BJb+Z9IOq6/bXl1bWpuTDFFNJHHCZ5FO1GkWCJXYFxGinaOY07TL3VrtbHT4PMlfO1dwGcAnqSB0BqOPS4XtxL9l4P8e/39M01ATlgOlfWTp4eEqdoS5bK/vXbfVp8isn0upW7sVZ4Xmg6cJJWXNeSd31cfcXKn0TUrfzMs6lomp6RP9n1G18t/Tep7A9ifUVXiieZxHGuWPQZpGznkU50ABYtz6YrKapSqN04tR7Npv77LX5fIwlyOTcVZeb1++y/Ia8bx/fGM0laWsaDqmlCNtVtvID52nerZxjPQ+4qtDLDs8oycL0bHXNb1cFOjXdOp7vro/udmip0Z05uM00/PRlbBxnFFLt+bbmpo4C0ypOfLU5+br2rmhSlU2/r59DNRb2IKKkuY1imKJJuXs2MZ4pojkCedt+X1zSdOSm49t+oWd7DaKAMnFSpP5S7Nmcd80QhGWsnZAknuRUU55N3anRTFLeWEJnftyc9MGkoxcmr6a9P63/AElcjoq3ZaJqN/F51vBuXsdwH8z7U3UNJv9Lne2voNjx43DcDjIBHQ+9bSweLjRVVwfK+tnb7y3RqqHO4u3e2hWoqxa2097KLK2j3SSfdGQOnPetG2XU/Ca777Tcrc/wCrPnL/AA9emfWtqGBlVfPJtU1vLlbSfnb5fei6dFz953Uers2l/Wn3mNUd1/x7t+H86ti72232Ux/8Cz75qtdtutn49P51yzhBJcsr6dvwMWktj234y/s1fDr4b/sc/Cv9oTwp8YrDxXrPjvxb4k03XbXRkvI7XRFsNP8AD1zFYyLeWVu5vUfVrgTPC89syiDypWKyE9/oHwG/Y3/Zq+GPwq1X/goD8JPjRd638VbD/hLIT4C8W6fo40nwdLetY2lytrqOlTte3sz2WpXSp50Fu9rJp7JMTPKYeX+I12i/8Ev/AIRwKN2fjt8RQG6dNG8EH+tep/tueI/G/wDwUW8P/sbaj8Ffh9vv7j4T6T8D9P07+1oh9p8VaLqDwG28ycQqnm2uraLd+Yf3Cf2l5XnO1vOU86q+SNOMp8ycqik72tbnstLbJXvtor+e1ox1WrshzfsQ/sw/s6fEf9p74E/tY/DH4ta/4k/Z7M+oWGqeH/Gdl4Xh8QaWfEOjaNaMbK80fUJIPPj1Qagk4nkR4WhRUIbz2+MZL+dbY2Mcv7rsm0euevXrX6Nft4/tOeFv2tf20f8Agoj8c/A6WD6Nc/DXTtJ0m80rWUv7XUbXS/G3grS4r+G4jUJJHcpZrcrt3KqzBQ8gG9vzelYOxcHr2q8or1/qbnNtVJKPMr7XhFtdt27pfoglLkVov/hhFUudqjmpJbK5hhjnliwkudh3DnHBpzxtayLIwz1ru/hp4I+KXxi02TR/hp4C/tP+wsfbZP7Ugh2+czsnErLn7j9M9OcZFe/gsBh69SVKpKSnb3UouTb06JN7XfyOjA4GeOruhTUpTa92MYuTbVm1ZJvSN38jz2rWoaTfaYFF5b7PMzs+cHOMZ6H3ptlpeo3lmt/DbZRs4O8euPWr/inxMfEfkE2HkeRu/wCWu7Ocew9Kzp4ejTwdSda8Zvl5FZ2km/e1t0Wu6+ZjGlTVCUqjalpyq2/f7kZLIygEjr0rQttKEGqra6pBhRnzF3f7OR0P0qvYTQRhhNJt6Y4Jz1pY7S71i+ENjBveT7q7gM4HPXHpSw8KUVGUY88m1aO/e6as27u3b5k0ktGld3Wn6W8x9vprvY3F0Yc+Vsw27pk49ajtvsaM4vODxjr/AEp9/ot3pqq10u3dnbyDnGPQ+9TaBrUeimYPDv8AM24+bGMZ9j61vTjClioUq0fZ2vdyV+7V0rd0t/MuMYxqxhNctt769+mhHrElsl7JHppxAMbBz6DPXnrmqabkbd0xV3XbS2tb2WO0vfPjXbtl8sru4HY9KpPLvGNuPxrDGxlDFT59Gm7Jard7WurdrGdZSVWSemr22+VugskzuAC2cdOKYQQcGnNBcmwmvYV+WHbvbI4ycCvq79qX/gk58T/2Zvglrvx11b4g/wBpadon2XzF/smCHzPOuYrccrdOww0o/hOcds5HBWrUqbj7epGLn8KlKMebW1o8zTk76WjdnpZfkObZrhK+Jw1PmhRjzTd4q0bSd9Wm9Iy+FPb0PlKC3muZBFCm5j0GcVb1GxhtbC1Ai23DeZ9o+YnuNvt09KgAtraZZIrnzOufkIxXV/D2/wBSAuzpWk/as+X5n78Js+9jr1zz+Ve5lWBw2MqvDTlaUtLpc9rWldKOreltHomzmwOHp4mr7GTs5dUua1tdEtelvS5yUVs7ygbMg+9JcW0tvjzExnpzWrrHiVb2OS3Fpt3Y+bzM9MH0qTxTdX2swxTnTvKS33bj5wb72APT0qauAwXsKvsajnKFrWi9bvXppZK5MqFDkm4Tu1bo9e/pZamGVIAYjg9Knk/s/wAg+X9/t19ag2MDjHSkryYVPZ3XKnfv+hyKVuhHdgi3bI9P519M/GX9mz4N/D79gT4b/tD+EfinYeKPEPjXxPr2n6umji/S20j7FbaDOllIl5aW5N5GdUnWZ4mmtmAi8qRirsfma6B+zsfp/OvfvH5H/DsX4QA/9F4+I/8A6ZfA9XhsdLBV1G141OaLvbrCdnqns9Va2qWp04XELD894qXNFrXpfS681udn4a+AH7H37OPwz+FWr/t9/CL40XmtfFSw/wCEtjbwF4u0/Rl0jwdLetY2dytpqOlTte3sz2WpXSp50Fu9rJp7JMTPIYe307/gnb8N/wBl74gftNp+178P/iJ4s8M/AHxdp3hdf+ET3aBe3dxqN7dLp2r3TT2d8lnpc9nZTSLIVkLTX2mxxs6XBlWj+2xrnjL/AIKKeG/2ONT+C3gXfqE3wl0f4G6bpn9qRj7V4q0XUHgNv5k4hVPNtdW0W78xv3Cf2l5XnO9vOU9Y/br/AGoP2hvHn7ev7Uv/AAV8/YP+MeveFP8AhW3xa8LeEJL/AMA3zajY6poxgu7ODVbm7hxby6dPc+G7Bvs00cttM2pwRs77F87xsNmOJwVanU5U21LmUpXV/axjGPu6x5k5RUo9lLdF0K0cNVjU5VK3R6p6O9z5A/aL8FfsdxfAnwV8YP2Zta8W2OteIPFviDTvFHgPxl4i0/UrrQLWytdGaylWe1gt3uY7l7u+cXMlvbKWie3SJjZvc3PiKgnKjqa+pP2sdT8D/Hf9mr4Q/Hm6+BPgP4e/EbxXrviKy12LwFokuj2/iPRtOstDtbDWTpgm+x23nXia3E01jBbW01xa3SiPzIJQvzJqGmy6aUMjZ35xx6Y9/evVwuHxM8CsS4vkvJNtp2tJq11va6Sb1as3rcwnRqcntEvd7/d/miqQVOCKkmmLkqrfL9Kc9yZYI4RH/q88565NM3AR+WeK0airxjLR/wBW/Ey20TGVPHZzmFZhH8r5wcjnFXPCGi2HiDxBBpOp6x9ggl3b7r7OZdmEZh8oIJyQB+Oam8Z+G7Xwvq7Wen6t9vtmx5N35Bi8z5VJ+UkkYJI59M11UMDXeCeNcb00+W6auno/h1lbpe1rvfodEcJWeFeJt7ifLur33+G/Nbzta+l76GQGcLgHitK38F+K7zQta8TWWh+ZYeH/ALN/a1x9pjHkee2yL5Sdzbm4+UHHfFZsMTzyCKMZY9BXdeDfjnP4M+CvxJ+Di+EPtQ+IX9j41L+0An2D7BctP/q9h83fu2/eTbjPzdK5IyjGg5Si27pLW3R3d2ns3F23a0Vm7rTA08FUqSWKk4x5Z2a/mUJOC2ejnyp9k3qt1w0sRglaKVcEds0wgg4NOYAnO7r7UruGzioko3dvkcTsNGWPNKQgODUkthdwWkV9LFiKfd5Tbh82Dg8dRzTrK5S23bv4sVdFQlNKWl+rHFJuzH6dLBFOjFsEZ7H0Na3wqv8Aw3pfjyxvvFsuzT4/N899rnGYnC8J833ivSsAMV4Iq7ren6HY+V/Y3iH7fu3eZ/ojRbMYx97rnn8q7sJXq0KlPEwUf3MlKzaV3dacractteXZb2OvC1amHqxxEVF+zkpWbWrutLXTa01t03sdlqXxO0C4+F3wz8Nafreb7w3/AG1/aMH2Z/8AR/tE4ePkrh9y5Pyk474rk9R1yeeJ7O3usxnG1dg9j3FR2ehvqdmkmnz+ZIufPi248vn5eSec4PTpUFvdtYagJ5IclOq7vUf/AF67Z43GrDwhU9ynLlV1e1uSMHs7XtFcy35r3S2XVi8fjMTyOr7seWEbq9rRhGn3evLFc3nfRbKtgqc1ZsL6S0DGKXaWxu+XOcZra8ZePF8WWscB0z7OYs4/fb92Sv8AsjHT9aybTTHl0G/1xZOLLyt8eOu9to5z/Q1yyw8MPj3DBVfaRUXLms46JNy0bvok/VHNOjCGJccNPnSTd7OOyu9HrornRw6p4RtvhsEin260vQbZD/y2+mz7n+c1xV0D9nY/T+da2v8Ag/xL4U1a/wBC8S6X9kvNO8r7VD56SbPMUMvKEg5BB4J61nX9nLDaO8gxjH86eZ18binThWo8nso8trNfC2m5J/aumntqrFY+piZzjTq0+R01y2s0/dbTck/tXVntqrH2l8Df2XP+Cfmr/tD/AAJ/ZP8AiJpPjzxlq3xe/wCEPW8+IPw7+OOgQ2OmTa61ss1tJpY0a/ltbnT5riW1lt7i7SaZrPztlvHcRovE/Ar9mT9mPw3+xVrv7c/7XXifXtVsbrx3/wAIR8O/hh4B8UWWk6zq+pw29tfX+pXNzeWt2sGnW1rcQx5htrh3ubuBHNuu15fZv+CdHhD9or9lj/go7+z18Fv2Yv2l/FuteGfj7p/g/VfG1p8N5tVsI7zSL+N4tYsrgwYSaTTEk1iFr+2kkNlJbTSrNZ3dvPFa5H7TfhD9nz46/sBeNNQ/ZR+NK63Z/s//ALRfibUIPD+rIINS1HwHri6JpuneIyZxbtIBd6baW0sEMDSRvqUbyrbrtD/J06lGMZxddrm9nb4tU3NO9/4d3yx0te7ta2mcKdF0JScrSVrK2/fXy/Es+O/+Ccf7Jvh/4reEPHnw+8V+LfGPws8R/swW/wAW7jwfofjDTX8Tx3kgubKfQLbUFs2trqSy1C3muLyc2cRtrCy1FmhMtpiXyOTwB/wTf+KH7OXxZ+I/gHU/Hnw38d+A9B0u58GeBvG3xCsNd/4TKa61mytbl4Z4NH09Yfsdo88jWo8yaf7QkyNHFY3Cy/Xl7/wT5/aas/iH8M/gd+yj8ddd0T41/An9g4fEHUNK0C3vdP8AENnql54i1HUrvwwYrORruy1EWXiMxJGV33BEKtHCl3ui+cfib+0/f/8ABQr9mD4lfEP9pX4IfDXSPF3w409Nb0/4w+DvBdv4f1jxl4j1bxDZRNpmrvaeXZahJJYSareRotul1jR5ZlkKJfedMMTh8RhaUqdWUpJpSak00uZqHu8qjJTja8uZy1dtVdOqqHsY2Vpa37fLTT72fHondYXiR/lfG4Y64PFRU6PaW2u20HqcZxU1ysAtoRHcbj82fkIxzXutSrRcm/hXfz7fO5yayV+xGYp2XcV4+ooFpcGNpRH8qY3HI4zTEQyMEXqa1/Clw+la/b3k8Pyrvz83qhH9a3wlGni68YTuk2lzb2v126b209TWjTjVqxjJ2Tdr9vMXwx4s1Twukw02/wDI87b5n7pW3YzjqDjqaztUv77U76S+1KXfO+N7bQM4AA4HHQCrOtS6fqGn6XrZ8ZfbtTvvP/tXT/7OMX2HYQsX7z7su9Ru+UDbjB5qiIGKeYPu+ta4qvip0Y4VTcqcNYq6tZq92lKST11V7ptp63NsRUrxgsO5twjqldNaq+ybSeuqveLunqmNQHOacylzhR0600qM4Vs/hQ0bKoYjr0rz+Wy1Rxk81nPBCTLHgjryPWp9BubC2nZr59o4xwT2PpVW8uDdXLTlNu7HGc9qI2jW3kQv8zY2jHXmuunWhRxanStaN7X62T9N/wAzWM406vNHp3/pG7pngvxD461C7n8H6b9qjg8vzD5yJt3A4++RnlW/KsbVDZG9kNh/quNnX0GevvmrWgeIDoKyH7H5vnY/5abcYz7H1qg5VlJLYb+7iunGVcFVwUHT/iycpT7LV8vLorJp6q8r6bWN688LPDQcF77bcu2+nLoraPXWV9NjT0UeAB4H8TjxF/yHv9C/4Rz/AFv/AD1P2j7vyf6vH3/+A81QluBbXDiwfahxjjPb3qHzfkKbevvQpA6muOWKvTpxjFRcVa6Vm/ek7t9X71r/AMqiuhlUxDqU6cVFLlVrpWb96UryfV+9a/8AKoroXJLq9iuzqccmHHR8D0x0qiST1NKAZGwo5NXtM1B9FuRdPb7/APZ347Ee/rVprF1L1JuML6t3la+7tp5eZCftJe87K/rvuyLTNTvNN3/ZJ9m/G75Qc4z6j3qe+vg2sNcSy+mTt/2cUXYvfEt9Le2dlj7u5fMHHGO+PSqd5aXNlcNb3UWx1xuXcDjIz2radTE0MPywvKmpe7JppO3NtfRX7GknVhTsruCej1t1/MTWLqS4t8NJnHt7ivsM/si/Av4T/skeA/2gPin+xb+0P41j1TwkurfELxh4T8dWujaF4XurnVruHTrC487w3fC2kn006Pfx+dcBpotYtZUTy54Wf40uwBbtg56fzr76+FGlfEI/8FOv2SL34z/tR/8ACwPB9/8ADvwTcXeq/wBlXCaXongiHTxFrHh+5VkFq2nWltBq1lqMsbyWpRb971kmGoQReBmNatUqxk33b1auktuZNJerdlo7NXIpp1alurstbfm9EeQfAL9mj9mLQP2Ktc/bs/a48U69q1hc+PP+EH+Hfwv8A+J7LSdZ1fVIbe2vr/Urm5vbS6WDTra1uIY8w21w8lzeQI5t02vL6Z8U/wBgX9jzwH8X/CPjrwj458W+LvhZ4l/ZZh+L8vgzQfFmny+KFumFxZXOg2uoJZNbXcljqFvLc3s5somtdPsdSdoDJZESJ+0b8Pv2Z/jT+wr8TNf/AGM/iZYTaN8Ev2pvF+u6X4FkWaK6Hw+8QHRdN0rWY31CRLieOK40yytHiCTXCtqETz+SMGX2vXP+Cdf7Tv8AwsT4X/BH9k34/a94f+NvwF/YO/4WDf6Z4etr3T/EVnql74h1DUrvwuY7ORruy1EWXiIxJGV33BEStHCl3uj8epi3F88qzg25Jp3SirK17bbxbktVz72QKOtrHynD4Y/4J1/E79nH4r/Eb4d6548+G3jnwHoOmXPgvwN428f6frv/AAmU11rNla3Lwzw6Np4i+x2rzyNajzJp/tCTI0cVjcLL8vqG5K/jX2X8Vf2jNR/b6/Zi+JXj39p74LfDTSPGfw2sU1uy+L/g3wPb+HtY8Y+I9X8QWUbabq8ln5djqMkmnyareRotul3jSJZlkKJfed8aEDqDmvdoSxUeenXcrxk1Zy5uXSOib1t11Sd21ZWSCq5p2l0FVypOTSSyRQwKZDjdnb74NCtt7V6L4L8Xax4A1Lwx8RLXwx/aEOh/bfNh+2rFv84NEOSCRgtnoenbrXvZXgYZhz80nFRSbai5WTnFSdlr7sW5edrHXl2EpYyq41Z8kVa75XKyckpOy191Ny87W6nnMZWQBlOQelbvgj4ZePviVLeR+BfDn2/7B5f2o/bIotm/dt/1jLnO1umelY50+6soIob6Pyvvc5Dd/ar+jz+DtNR5Nb8Pf2s8uNq/a5LfycZ/u/ezkfTHvWODw2H+tKOL92C+K75Xtp9ipLdraErrstVngqWGeKSxWkOuvK9tNeSb3t9h/LdZUTCWES7cZ9/epI5ZBlUbk+1Dm3WXdaw+Wn8Me4nH4mpBbS48yRdqL95s5xXLGnLm9x7dvzv0+Zy2d9B15dNNZ29u8mTFvyMdMnNQEL0A5rQub4XWmWmnwx5+zeZl8/e3Nnp2rNGM8mtcYlGqnzc11HX0irrrttfbS5VZe9vfRfkvy2Nex1fUvCs32vRrjyJG/i2Bs9v4gexNdD4N0v4ifFjR/E+l+H/CP9sXd19i+0X32+G3+y7WYr8jFQ+4IRx02571i+IvCEHh+FPK1f7QZs8fZymMEe59f0rCnsUQh5o87uh3V7NStjssxCo4mMlSSd4RnH7cZRdnacU2pb8rdnpZ6r1Kdetl+I9liFJwSd4Rkl8UXHRuM4p2lvyt22s9V23x/wDHXh/xp8YPEWveB9V+06TqP2TypfIdPM8u3jU8SKGGHVh0GcelcdFFeQo1xGuFTG45HGeBUa2jxweaifux0OfetRvEL3dhPpkdjzcbcN5vTac+lcE67x+KqYjFTcZy5pRSTd3JylZb2Tk/x33ZhisVLMsbVxVd8spuUrJO15Nyst7K70167mcxnnPmHknqeKbA4SQFz8vela3nMjJ5fIxkZFPutMvbMsLmDbtxu+YHH5GuDkr39oovR6vW3z+5nAoz+Kwxp3yGV+R7Vq3Go3WtaDp+lSTeath5uyPaF2b3yecDOce9ZMc2yCSHbnfjnPTBqSJZI4hIU4foc+ldOFxE4OSbbjKNpLX+ZNfik/8AgmtKtKmpJPSSs/vT/NIiimkhYPG2COhxRqtwJ7fl846ce4q1O1lFoZkF5ulH/LHyyP4vXp05rf8AFvwC+MXhDwvd+K/Evgv7Lp1l5f2q5/tG3fZvcIvypIWOWYDgHrVRwOYSw8nRhKcFFSk4pyUU7/E1dR2e9tvI2pYDHYijOdCnKcYrmk4ptRWrvJq6Wie9tn2PpvwD+x3+wJ+0B8ffhZ+yL8Nf2gfFvhDxf4z0/wAEW9z4y1L7H4o8P6lrGtadp1xf2gSxjtbjSZLO5ubizjhb7eJ7kJHcTackc04l079lT9gD4d/Cz4n/ALZ/jj4r+LPGPwwi+NOp/D/4CeDPDHiG00jxH4mjtvKvG1rUJ72wk+z2UOm3FoG8myeR7u+hSRbRcGTkv2Wbz4X/AA6/Y1/aF/ap1JNeT4hWv9gfDz4a3GnmGSxsv+EkttYTWZruOXBbzNG03UbONhv8tr8uIxIIri3uaN8O/DHxs/4I/T634N+JVhJ4w+CPxo1bXfFngSQJHdf8I14gsvD2mw6zG8siedHFqOmwWjxQJM6tqETyeSmwyfMyUqON5YVZOMJxj/ifxXTXvJTbjH4rpyaVtDFcsZe7rbbzPR/jV+wl+xl4Q+Kvgrxt4N8beLPFvwv8Qfsur8XrjwboHiywl8T/AGhhNZT6Ha362T211JZahbzXF7N9jja10+x1KRoDJZkSeSr4F/4Jt/FX9m/4sfEr4e6r48+G/jrwJoOl3PgzwP43+IVhrv8AwmU11rNla3LwzwaNp6w/Y7V55GtR5k0/2hJkaOKxuFl+tdf/AOCdP7Tx+Ivwv+CP7Jvx/wBe8P8Axt+An7B5+IF/pnh62vdP8Q2mqXviHUNSu/DBjs5Wu7LURZeIjEkZXfcERK0cKXe6P54+I/7S2p/8FCP2YPiT8Qf2l/gj8NNK8YfDiwTXLD4xeDfBNv4e1jxn4j1bxDZRvpurvaeXZahJJYSareRotul1jR5ZlkKJfedyLG18fWVXncrOCbTaaV7RvFq0lNJJy+LVtaq6dWUqkrta/wCSsfI/2W3ljZbdMtxjk/1qpNE8MhjdcEds02lB2jPrX0tWrTrJWjyvy2+636mEpRfQsRzW6oJC37z1warEk9TWl4Ms/D+o+LLKw8VeNP8AhH9Pl8z7Tq/9nPd+RiNiv7pPmbcwC8dN2e1amgQ+H9O0zSPEl34p3XNx9o+1Wf2Fx5G1iq/OOG3A54HHSu/C4aWY2UpqCW7vFJK8Vd3km/iXTWzts7dtDCTxMFJyio31vKKas4puzkn9pW01s7X5ZW5sACJpX+6mMn0zSQ3nzZt5Pu+3+NbvxC1zTdas4YtOn8wW27LbSM7ivqB6Guq/aK8eeC/id+0hr/jfwtr3naPffZfIvvssi52WcUbfI6q4+dCOQPXpV4jBUaGI9lRrKVnFKSsr8ybb32i1Z6263RtUwGHhRnOFdNxlCKWi5lJTbktdoOKT3XvJ3Wl/O2uZpRtkfI78UmxCoIHWu11rTPAr+Gb7+w/H/wBtvB5XkWn9lSx+Z84z87HAwMnnrjFcemnXcjtCkXzR43fMO9GYZbWwlWMeZVeZbxalrd6Xi5K9le1+phjMFUwtRRclK6v7rUur0vFtX023JCliNJ3Efv8A8f735dKveHrLRjDcjWIv3h2fZ/mb33fd9sdazdR0270q+fTr6PZLHjcuQcZAI6HHQ1FBIIZRIRnHasaWJjhcXH2tJXh7rTWl1dNtW3V/vRlGp7GsueCutGmvVO67/qT61HbRanLHZjEY27Rz/dHr712+j6x8MYPhrHZXFzjXBncuyb/nsT1A2fc/zmuBnk82Uy4xmidIUkKwz+Yo6Ntxmt8DmtXLcXWr0qcJKacbSWyk73irppq2j1t21OjB4+WCq1KkIRlzJxtJXtfrHVWato+ha1BbKKLbbjBb6+3rVaCYx5G7GfampC7o0gHypjcfTPSkKoOj5/CvPq151KqqqKjpp0/rqcUpNy5rWFileFxJG2GHQ4p1tKIpA+7GO+KSFYiw8ybaO525xTBjPJrBSnT5ZJ+mvoRdo29F1Wwh8w3k+CcY+Q+/oKxMHGcVYtbG5uQWt49wHXkD+dR3CeXKYQc4713YqtiMRhaftI2SvZ2et/z26G1SdSdKKktFe3zGbG9KKuX/AIc1nS9n26z2eZnZ+8U5xjPQ+9FctTDYqlNxnTafZpp/kROlVpy5ZRafmjp/Dn7Q3x+8H/CnU/gN4V+N/i3TvAmtX4vtZ8EWfiK5j0fULoGEieeyD+RNIDbwEO6FgYIzn5Fxo/CDUPix8LE8RftBfBn40a94N8ReA/sn9m6t4YvZrG+H23fbSeVdQSJJB+7d1baTvV2U4BOfPIppYHEkTYI6HFXZbu01zUptV8RyebNLt3SYK5wMDhcDoBXVhPqU6UqU18TejfLH3oSTk2nunyu3LaSjZux14Srh43VWPNpJJXaSbjJKV1/LLlla1pWs2kej/Br9o/8AaP8AAHxO8QfG34fftEePPD/jTX/O/t/xfoPjG+s9U1P7TOLi4+0XUMqyz+ZMiSvvZt7qGOSAa4Px94o8QeMvGuq+MPF2u3+ravq9/Lfatq2q30lzdXt1MxklnmlkJeWR3ZnZ2JZmYkkk1S1A6QSpsffd972x1qtL5Sk7etXXWFo4eNKnCHNHeas3Ja2W19PXoZ1ZxVJUklddV1/A0HWwaB/IsfLk42SeaTt55478VWvLRooIZ5Jt/mbsDbjGDiie5gKfu357cGq0kjSHk5x0p4uvQcWrJu3TRb3u0tHppr5diKs4tW/L/gDkJubjMpzu6/lXW6Z8NIdU8Jaz4kOq7G0r7Pti8gnzPNkK9d3GMZ6HPtXK2xLSqAfWum1PRfHX9ieIb3T9Dzp+g/ZP7buftMX7nz2Ah+Unc2WyPlzjviu7K4YNUKtbE03UWvR7uEmtu1ubXomduXUqU1OdSk6iSlor6Pkk76dI253fS0XfS5jxeHRO7RC72+Xjny85z+NVHt4cFVTB9cmksPEd7aMy2l5tL4z+7BzjPqK0tR1W0iV/sE+GGNnyn2z1H1rGKyuvQc4Lla3vZ33ty3fZa7a2Oe2FnTutGt/0tr/kZ2jzWMF8kuo6f9qiGd0PmlN3B7jkc4P4Va8RQabsg1HTbD7NHcb8Qeaz7NuB949c8n8aq6NbwXOpRw3SbozncMkdj6U7W4bW3vmt7RdqLjAyTjIB71zU3KOUycoxceaydlzJ6O97XatdW5rdbExbWDd0rX7K99Otr2t0vbrYhEkRjx5PPruqEEg5FOwd+cUshiUgwn61wzUpRu2lb73/AJnNa6uavhnxJb6Isy3Ol/afM27f35TbjPoDnr+lTat4Qis7aS8ivOFxhPL9wOuaw8NJyOT3rvbTwNqz/C9fEM+l/wCjc5m89f8Anvt6bs9eOlfS5PSqZvhqmHqU+dUoSlF2ty97tK71a3btY9fAUquYUZ0uTm9nFyWmy63srvdb6I47RdYn0syRxruSbG9cgZxnHb3p/ii5trjT7a+t7Pypn3+dJ5hbfggDg8DA9Koy+Tx5X403yWmQrtyD15rw1jK6wssI/ej02dtU7rS/daNbv5+cq1RUnSeq6eWt9P66s6b4ifDWT4f+Ltd8Ly699uOj/ZcXH2XyvN82NX+7uO3G7HU5x2rnEUIpc847VasNWm0rSLrTNOuPLS92faU2Z37GJXkjjGT0xVUBnjYp0GN1a42WBnWVTDQ5bqT5b81ryk0uZu7tHlTbS21XV642eEqV3PDw5Iu75b35byk0rvV2jZXaV7bdXb0nXLnSTIbMbfMxu6Hpn1HvVrT/ABz4j8N+MofHHhG+/s+/td32aXykl2bozG3DqVOVLdR3qharp/l4uR83fr/SoroASsE+7xiiWKxtPCQUatkmpJJ6p6tPo00+3X0RMMTiqMIOE2uVpqzs01qmnumnrp1ILppU09bV5Nyx52DGMZOTXoXgb9qj9p34ZfDHWvgr8Mv2jfHnhvwZ4k+0f8JD4R0Hxhe2ml6n9ogW3n+0WsUqxT+ZCiRPvU70UK2QAK4TXNMvtOtx9tg2b/u/MDnBGeh96j3t61wYinyzdOvG9raNdlpv2WxhJThJqV7nd/BXWfit8NoNc/aJ+DPxj17wX4k8DfZf7N1XwxfTWV8v20yW0nlXUEiSQ/u2dW253q7KcAnM3w5/au/aU+E/xP1v42/Dv9oLx5oXjPxJ9o/t/wAXaF4zvrLVNS8+dbi4+0XUMqyz+bMqSvvY7nQMckA1iX+peItD0HWvDui695OneIfs39pWH2VG8/yH3R/OwLLhiW+UjPQ5rLsPCPiLV4ftNhp/mL3bzUHfHcj0r08VlkliIU6NByqKLUvd5+b3pWdve05XFWaVmr2vq/Rr0Y3o08NTfPGL59L3lzzaaV3pyOC2WqenVr4q8aeL/G/iTUvGHjTxPf6xq+sX819q+rardvcXV9dTSGSWeaWQl5ZHdmdnYlmZiSSTWYGK8A9atanpl9ot2+l6pB5U0WN6bg2MgEcgkdCKqDGea8yrGpTl7OV046WelraWt0ttY82anCTjO6a0s915CsPlDetW9X046deyWhn37MfNtxnIB/rUdravcbjCmcdeae9+wBCy8/7tdVOlS9g3U0vZp+l0+17tp+VvMqMY8jv8n99zZFxe+K42tdVut7JjyZNgGzPJ4GM5wOtY+q6Z/Zd0bZZ9+P4tuOwPr71Hcarf3aeXcT7h6bQP5CoAXPQ10Y3MMNi4JcjlP+dvVrs1d39b+RtiMRGtHVNy/mb1/X8ycWZMfm+b+G2mPNIxGW57HFMeVnJBbj6UsDvHIGjODXC6tO6jBNJ7nO5LpoG1pWO5+ntVpbzw+tt817uP/PHy3Hf1/Wqs0sjSFnbnvxWz/wALJ8fn4e/8KsHifOhf8+H2KL/nr5339u/7/wA33vbpxXThK2Hpupz72dvd5ry6J+/GyfV+9b+VnRhnhlz+1bWjtaPNeXRP3o2T6v3rfysxWULyO1NJJOTU91p17ZKDcw7Q3T5gf5VBg9a4KtOpTlyyi15PQ5pRlF2krDo9ocb13DuM4pTgfKowD1pgJByKntpY2mH2pvl+n+FXR5ZWh1b/AK1CNnoaemat4f0q20G4PgDbcWf2r+073+1XP9pbyRH8mMQ+WDj5fvdTWffatfarctc3029pMbztAzgYHQe1MvUgLhrYcH6/1qN4p1B3L+orsr4jFKHsIv3FZ2SVm+VRu7JXul1vu3q3JvprYivUj7P7KtokktIqN3ZK+i3et227uUm5IbmfT7hLq1k2uudrYBxxjv8AWp9Q1rUNWiijvp94h3bPlAxnGeg9qYBpxUlRyPrQsEeTIU+VvunP51UFiVB04VPcluk3bpq/ml+BmnVjFwjLR7pPQqZycnmo7on7Ow+n86ne2nQZZMY9xUN2pFuxI9P515soVI7poxaa3PUfE/7Z37YvjD4Qp+z54u/ay+Jeq+AYbC0sYvA+peO9Qn0dLW1MbW0As3mMIjiMURjQJtQxJtA2jFD4L/Gn43fDjSvEfw3+F3xq8W+F9F8cWH2Hxfpfh3xJdWVrrdqIpk8i8hgkRLqPZNMmyUMu2aQYw7A8cdRknh+yGbKH+Hb+Nb3xK+G+s+Als5NS0b7ILnzNp+0rJu27fRjj7w/OvWw2V4eNOeKpUlOlTcXNW01duikvm7Pqtj0KGGqShLExi5wp25t7auyV1e1+l7eR9L/sk6X+2Z8Pf2ctD8Tfs9/8FCfiX8N9F8VX99fXXhjwbr2oafardRSi1adltryJJJHSCMFygbaiLkhRXxzbuzwhmOSafHa6fsHmR89+TRGEiQCMYx0rirLAfV6apUlCprzzUm3PXS62XKrrTc2zHGZXicNQhhcN7KcI2nLnlP2jtH3rPSGqbstPet0RZvb6C6ULHZ+WR38wmt34Z/Gf4pfByS/f4aeLP7M/tPyvto+wQTeZ5e/Z/rUbGN7dMZzznApPiJf+DDFar4Zl67/O+WT/AGcff/HpXNQyxzZCtnHtXXmMa+AzJqFZSlG3vQ0Wq6NeTszKpUxWVZhz4etacdp03bda2at0dn80aWjanNaW0emEbkXPoM8k+lQ6VZzareLYWll50smdieZtzgEnk+wr1H9nL9mPxB8Zpo9TGl+bZc7E89F8/iUHnzFK7Sn419m/BP8A4J/XGmz29pqHhv7NZx79v+mB8ZEhPSfPUj863jTq4nAe1lWh+72i2uZqyskmjNU51cN7R1I+7sm9emysfDXhr9nPxh4pgW5hT7OXz+5zG+3BI6+YM9M/jVnwDd/s8aL9nfxB4o864h377n7Fdrvzux8q5AwCBX6+eC/2Z9AsYhaLabgv/TRxn7x/56V8q+JP+CO3jnwd8F7nwt4n/bS+y+FrTZ59n/wrmJ9u+5Dr86XZkP71geD3x0rHKq06OM5qf8R/ClCM7zbXKrSaUbv7STa2UXcvLZqGIbTanb3EoRned1yq0mkk31Sk1sou55V4q/4J9arZ6K2r6jYeckGOPNVfvMF7T/SvEdC/ZW8Q+MPGk3hfTbj7II9uyTYkm7MZc8GUYxtPfvX7pfFv4faJ4O8PPDJBh3x/E3GHT/aP96vhr4XaLpdh8c9RaQYz5OD83/Pq/v71i8d7fDyp1Y80278z36K21+nc5pV+ek4yV5N79Tx7Rf8AgnXqdnbyT2J8tpseYvyndgnHW44riPEH/BPe/wBLVmt9A3bcf8vQHp63HvX6V+Evhd8SPHHxL81dO83wu3+tbzoV/wCWJxxuEn+tX/Irifhz8H/GNprM6eLNI8uL5f8Al4jP8Lf3Hz1xXqSy6M8FUq1MRByjGMrKzfvN+7fR8yt7y6XXc7Hg4/VpVJVYtpRdlZt819PVW1XQ/Lr4lfs4+JfC3h+6tNL0DZNJsxH9qQ+Zh1PUyEDAJr2L9rr/AIKD/tO/tB/DLxB8DfEnw5/sfRtY+yedZf2vZXHleVNDcD51gR2y8YPDDG7HIGDyHxW+IH7FvxS/aj+IHjvxXrf9o6Bff2V/wjN59m1GHzNlkkdx8iKrjEiAfOBnGV4Nezfsi/sfv8V/2KfCvjqHT/Ne6+3YPnbc7dSmj/56r/c9K4KmEws8JRrVfZTm1JR5uSTppSd24yhJwm21KE4yUkk7Pt62FzHMsmyVxw2Iio4pOMopxclGPNFqpFwbjzc7cWpK6v5W+Bsow2iPBPfNegfAPxL8HfCsusP8Xv2Zv+Firc/Z/wCzT/wmdxpH2Db5nmf6kHzd+U+993yuPvGvU/2gv2cYPAeg6jMfDXk6lN5Ow/bC27DR5/5aFRhW/wAmvnXVLO80i9ezuI/LdcblyD2B7Z9a1zPKKGAlGNWrGrFq7dKWzu9OZLfRN6bOx586TyTGQqRnTq6X0UakdbqzU4yi311i7XTWtmUbdGSEKwwRXVX/AIn0K/8AD97bW3hXyJm8vy5/tzNs+fJ+UjByBiucnErEyEcetIPK8pvXjFc2ExdfAqpTha0k07pdmtLptb9LHn0cRVw6nGNrSTTuk+jWl07b9LCAliTnFICO6/rQVIUNjrQD82Sa853vqcpHdZ+zPz6fzr1u8/bI/a98ffC+3/Zz8ZftWfEvVPAEdhbWMXgfUvHuoz6Olra7GtoBZvMYRHEYYjGgXahiTaBtGPKLma6WwmiDfI+3zBgc4PFOeGZVMjLx65rWnGjGrCcqfOo2eqXR9Hrb1/yNYSUJJ2uup13gL48/HX4O+F/Engj4TfGvxb4Y0XxpYfYfGGkeHfEd1ZWuu2oSWPyLyKGRUuo9k867JAy7ZpBjDtk+F3x2+O3wFuYdd+B/xs8W+Dbs36Xy3PhTxHdadIt1FBc2sc4a3kQ+YsF7eQq/3hHdzoDtlcNyq31wbaW2MvyybcrtHODmpLA2Kqwuvvcevv6VX1bC4ipJJK01reyV133vouvfyGlGT0f39Db+JPxu+KPxX+Id58Wvir8R9e8TeJ9R8v7d4h8T6xNqV9c+XCsKebPcM7ybYkRF3E7VRVGAoA5641K51FVa4m3hc7flA+vQe1a/hPxXq/gvWNP8UeF/EP8AZ2qad5vkT/ZFm2+YpRvlcFT8rEcg9fUVk/bbprG302W43RW2/wApdgG3ccn3PNdFT93hlT9q7PXlVuX7PRS0tqvh05Y2vf3dZuKoJc7u23ay5fs2+1vvf3dOWNm7vlSCAygkPjHtUb43HArX8Pvokkcia0chceSPm465+7+HWvSvh/8AAbRfjbqFzpfgNvKkTZifDNtyGP3ZHXP+rYV3U8neJy916dWC5Vdpy97S99LPtp3ujWngHVwzqqpFWV7N+916W8vxR5X4btdavtZhtPD0e68fd5K5UZwpJ+9x0z1r3j4V/sVfE34orb6p4sm8tU37rPbC3XePvpMv9wH9K3v2j/2d/hT+z94m+GVh8Trfy/Dl/wD21/aK75z9xIjH/qpHk/1kifdx78Zx9F/8EY/CPwy8VfFL4z/8Kni3eHoP+Ed/s4bph96C+8z/AFxD/wCsD/e/DjFcEYV45W6kay5XPldPm956X5uTbl6c3fQaw1RZV9ZVaNufl9nze/tfn5P5OnNffQ4/4ef8E6NP0q8eztbfZNLje28nOAxHW4x0NWvih/wTzmtvD0qTwb432/ut2N2HTuLjj1r9VfAf7NOiLdJruoQ4PO1tzejKekn07V51+0Lo9lbCexg4Hy+vH+rPrXLUnHlUY7fr1/Q4G1ayPxU0D9jDVte10aBH412Sev8AZqn+Et/z2Hp619feBP8Agnj4cttBj0+0tsLHnyo978ZZieTcU7wVokUfxauBCPu7OPrA3vX3d8A/Beg+KiumXX+sOcr8/wD00PUEelZru2I/Prx1/wAE6dP1S2ksUizG2N67jzgqRz9o9q8F+J37A+qeDJ4r6yg3wR7vOt9yjzchAPmM5K4LZ461+2/ir4HR+G45tbRNsY25bOfRem89z6V4t408K+FPFVxPZud7xbfMX94NuQpHORnOKrlnKDkldLqFm0fhN4h8JeIPC06W/iCw+zvJnYPNR84AJ+6T6j86pS23lY+fOfav1G+Mn7I/h/xfM8cVvtfjne5zwn/TUf3a+EP2ivgF4v8Ag7eymT5tNk2+YP3Y8rAix/y0Zmyz/h9K0pOg4S9pe/T+rr9So8lnzHmGl6teaUZBavjfjdwO2fUe9V5G83LSDLnq1MypJJpCQDlacsTUlRjTk7xV7LtfyB1JuCi3ogZt3atPTL9x4X1bQ4rLzZL37PsfzNuzY5Y8d8/UVVe6jVf3MnP0qJ5BJ8xOW/irooyWGrOcZ3bUk7W2lFxdt+j7GtKboTcovWzXyaaffozovit8Q5viP8Q9Y8X2+g/2RDqv2fdp32oXGzyoUQfvCqk5K7ug+9jnFcxf3U81syySZHHYetP8wpLlTjFLMLYaZceYP3nyeX1/vc0q9fEYyvOc6jbbk3d77yflq2+i1fmXicViMdiZ1q0rym5Sb2u23J6KyV23oklqdx4E/an/AGnfhb8MNZ+CXwy/aO8eeHPBniP7R/wkPhHQfF97Z6Xqn2iBbef7RaxSrFP5kKJE+9TvRQrZAArE+FvxV+IfwT8cWXxN+EvxQ17wb4k0zzP7L8Q+GNVuLG+tfMieKTyp7dlkj3RyOjYYbldlOQSK56tjwV438V/DPxfZeO/AWs/2fqth5n2W7+zxy7N8bRt8sispyjsOQeueuK4KVKgpNyirPdW3vptdX+8yo+ydaPtW1G6u0rtLq0rxu10XMr91uWb/AOKPxH8Qa34p16/+J2vXt74z3/8ACZX9zqs7za/5l3Hev9tdm3XW67ghuD5pbM0SSH5lVhufGv8Aal/ad/aabS1/aP8A2jvHnxA/sXz/AOxv+E38X3urfYPO8vzvJ+1Sv5W/yot23G7y0znaMUrr4seLvF3i7VfHfjrxL9r1XVfI+13X2KOPzPKj8tfljQKMIqjgDOM8muUlkVsnPzV218FgI0KVaDTleWlkrK9lbVvVf5XZtiKeGgr0ZuSbe6Sdk9LpSlZtatXdnpd7kZAXqM0MxIC9h0FPnuJJ8b3zjpxRDK6ZCtj8K52o+05U7r0/4P6nJpeyFs5YoZ1klh3gZyu7GeKkTUnQ7lT5h91s9P0qAKQMgc07ypoT5jLjHfNa0qmIppKD030X9bWKjKa2Lep+JtY1fTbPSb66329h5n2WPYo2byGbkAE5I75qoGkCeWH+X0xXr3wu/Zi8XeLvIvLu0+X5vPt/Mj5++F+YSD+7nivpr4ZfsW6jqlwDqL49Rgej+k3sK1r1JTn7SpUcpNW76JJJPXorK3kXVqTqS5pybdku+iVkvkkkvI+EtY8N614dETaxY+T527yv3qtnGM/dJ9RVRcyjax4XoK/VPXP2FLTR/Dp1KKPGOjZP98D/AJ7n1r5E1r9gmz8QePp9M8NeLP7Jtn2+VZfYDP5WIgT87zgtkgn2zjtXFGbXoYnzZp+mXerXqWFjHvlkztXIGcAk8kgdBUUkGzHz5z7V+k3wp/4Jq6F8O/BItLy4+36jP/x/6jsaL7Ttkcp+7FwyptVtvHXGTXF/E/8AYYhkgltWtP3Em3cPMPGChH/LfPWm5Qatyj0PgpjwE9KQkk5Ne3fEj9lK88MT7LRfKWP/AFnIbOQuOsp9a4LxL4Ih8EeI/wCzvFemfZY1+8nnF/4AeqMe7D869DD5XiMTT9pzKMbxTburXva+nZN+h00sJVq0+daRTSbeycr2u/k38jl7rTvs0Rk87d7bcVXVd3eur+I/iiw16K1XSb7zVj3+d+6K4ztx94D0PSuWRj1B571ea4TCYXMHRoT5opLVbPS+mr9N+jKxtCjQxTp0pc0VbVddPV+m4KQi71HzetEk7yjD1JYLFcXqLdDKnO78vamw2k87eXFHlj0GRXCo1ZU17PZ6WXlbp53Oa0mlY2dD13S9D02My6D58kud8n2plzgnHGD2NZNzqD3t213eJ5hbG4ZxnAx2qSDQdWuWZIbTcUxuHmKMZ/GoLmGezdrS4Xa64yuQfftXbiMRj54WFOpFxpw291JNpdXZXe+93v5nRVq4mVGMZK0Vtolr9yu9979Q1a3hitSY0x+PuK9L0X42fGPw98PtU/ZX8M/F3xbp3gbXb9b7WvCVn4nu00e/ulEMizz2CyCCaQG3gw7qWBgjOfkXHld0D9nY/T+dTmWWSXzC2WPfFZ0sZh4VLyop+9F2snor3SutG9LSVmraMVKvCm7uN9V92t15X01Wqsdf8DPi341+BHxEsvij8NvFevaDr+meZ/Zut+GfENzpd9aeZDJDJ5VzbMske6ORkbaRlWZTkMRU/iH4veKdb8VeLfFN/r+vTT+Ot3/CWSXPiW6lm1nfdRXkv22VmLXm+7hhuT5u7M0SScsisOY1Sa6mtidUbMg/1HA9Ru6fh1qiLaURLMyfK+dhz1x1rpqVFhkqMaUZW1u4R5uukm4ydru6Tk1qmkna2jrzpU1SjFNJ31jG/bV2bt5N22drno/7Qf7W37Rn7VF7YXX7QPx28deNo9H83+xIPGnjS+1cad5ojE3kG6kfyvMMMZbbjd5aZztFearz8vrVyy1EQBY2mwozxtqtEITKok+7znrXDWhSnyuDim27pJRSb12jpa7fRHPVk6sudvV76JfkOlSJLeIiP5ju3NnrzWjP4o1n+yjpEd1ttu0WxT/Fu64z15rMn2rIfK+5/DVhdQv5LbyLibNueo2j19uetb0MROhKpCnJwbVny7NWtq7r3Xu9/RlU6s6fMoycbq2nVdnto+o2W6ub11F3LvC5wNoH8qiuFiQgJHj8ajJCkFDXS/D+48NYu18TPwPL8jh/9rd9z8OtVgaSzLEqhOajKV/fltor6t+lkXhqX1uuqcpJN9ZPTRdX+BzbvETlYse26nNdTtG0Rk+VsZGBUslqbW4K3ce3b97nPb2quCBz37Vx1I1aUnFu26fT71oc7Uouz0HRSyqMI+PwpPL/AHe/P4UvmuFADfpRqhVIZI4vucYH4iosnBtu6X6/8MLoWr7xBq+qBTf3fmeXnaPLUYz9B7VFNcxywRK8GWXdlt3XmvR/2lh+y2brQB+zL1/0r+2v+P70i8n/AI+/+2v3fx7V5k7SA7XPIrsxdTEUq041KvtHouZPnT2ejfbY9HNcNVwGPnQlWjWat78Jc8XdJ6Sa1ts+zTRNdebbhrQS5QY42/jUdrIIZRLtzjtmoySTk0rbf4a4nV/eqa6bdbdvuPO5veuS3lzDJZXe+2y7+XsfefkweeO+a7n44+HvBPg74meLPDPhDwt9hsYfsH9nwfbpJfs2YY3k5ckvuZmPJ4zxXAGLzlKlcjvzUumoVdrOIfJNjzF9cZIr0MPjYOnKnKmnOTspaaJxqJq1tbucXe91yq3S3fQxkI4WdB005SaalZXSUaia2+05pt305Vo2lZ0QgmBQQbT2bcTinXLGGGOIfw55qAkjluvakBBOWrkdZRg4pWb66LS9zh5tB0ds164svN2hv4tucY5rqfF/x7+MXi3wvd+FPEvjT7Vp175f2q2/s63TfsdXX5kjDDDAHgjpXL2t1PZzrc2z7XXO1sA44x3qvdf8e7fh/OrpY/E4fDTpUako891JKTSlHomk9bXlo118zpoY/GYWjOnQqygp6SSk0pK1rSSeq1ej7+ZrnxZ4itvD174L03Xb+20PUb+2vr7RY76T7LcXVvHPHBPJFna8kaXVyqOwLItxKFIEjZ9A/ZU1bx34B8Zy/Gb4YfEnXvCuv+GNv9n6v4Z1a40++i+0xzQSeXc28iSRZjZ1bafmV2U8E58xnhEDGKRcOOozSCOeJTIBgDqeK1wFXD4PMVWxNBVYq7lDZPRpX0to7OzVmlZ6FYHEUcLjI1a1P2kVf3dlezt0ezs7Ws7Weh2vxS+IPxAm+IvjHUZPH+vS3HjH/kbrm51q4lm13zJ4L6T7bI7lrvddwxXJ80tmaJJD8yKRP8cP2pv2n/2km0w/tGftIePPiB/Ynnf2N/wm3i691X7B53l+d5P2qV/K3+VFu243eWmc7RjgHJbDMeT1rQ8LeGfE/jvxHa+EvCmmfbdQvd/2e385I9+xC7fM5CjCqTyR0rGt7HGY+U6NK0pSbgoq7XM9Iqy9FZLXaxE3PGYxqjB3nL3Yx13ekUlvvZJL0RStYRcTrCWxnPOPareraUmn2NpcLJuM/mZ4xjBA9fel0ybTY9ImvJk8u5fb9k5Y9GIf26ev4V1vgHXfDGq6c+m+PbrzIbLH9nJscbN5YycxjJyQv3s+3evWyvLcJi19WqVIxqVFeMm9I2afvbWbUXbR7x76dOBwdDEz9jOajKS0bdkrP7T6XSdtHuu91xOmane6PfJqOnTeXNHnY+0HGQQeCCOhNF3qV7fbftU27bnb8oGM/QVCR82AKfBG8s6xkZznA/CvEhUxLp+wjJ8re13a+mtvkvuR56nV5PZpu3bpf0+SPTv2Y/2arn9oybXlj8e/2ING+y/8wsXPned5v/TRNuPK987u2Ocr9oH4MXPwQ+LniX4Z3Hi3+2G0H7H/AKf9gFv5/n28cv3A7bdvmbfvHO3PGcVwl7ZwLNho/n/i5NMjhWIExrgHrzXTOvRhRjR9n70ebmfM9W78rtsuW/z6nrVcblTyiGFjhbV4tuVX2knzL3rLktyq146rX3f7zNXwkY5dYjguY98b53JnGcKSORWk8NrHr19HDBsQeVtXcTj5fWsJHsTZThz+9O3yevrz7dPWq1ddHMo4LDU6biptNyvfXVSjyvS677/I44YlUaUYWT1vfrs1bb5li+1O61S/fUdRfzZXxvbAXOBgdB6AVHbvAk6tNB5iDOU3EZ49abLt8w7eladzpUH9mXF7awcQ7N7bzxlsDqa4qVLEYmc6l1JxvJ31b3bezvtrcwjGrWm5Xu1du+t+r9fmVtSl0+S2t/sWneQw3+Y3nFt/Ix16YqnTjDKsaylflfO0564pAHYYArCvKpWq8zja6WiVuiWySRnUk5yu1b5W/IkPmRQuiyfK2Nwx1xS2clrHu+02nm5xt/eFcflTmtW8l7mBPljxvbPTJwOtQqJZCSoz61paVGrF2vpomrq2vfzv038x+9BoQlT0XH40DGCSKV0aNiCMYoCszBSK5+WXPZrUi2pLbX11bArby7Aevyg/zr1L9l34H+HPjB8cPA/hHxjN59h4l/tP7TBtddn2e2ldeUdWOWRTwR+Ncp8PNF8a6zHdReD7bzDBs+0jfGNu7dt++Rno3SsHT/BPiPxV4pg8F+HtJ+0alcbvIt/PRM7UMjfMzBfugnk9vWvdWExNDCUqihKo6mkLxbipqcfhXvKpe0ouLS1ezPey6DwlfD4iph5VoylHli01GTU4txjpJS5knBq2nNs2i18QdW8E+IbewuvAnws/4RyMeb57f25JefaeVC/6wDZtw3Tru9qK9W/bp+AvgH4I/wDCLf8ACD+FP7M/tP7d9q/06WbzfL+z7f8AWO23HmN0xnPfFFcWdUa2HzOdOq4uS5b8iSj8K2UYxS+UVrvd6ueJcvxmV51VwuL5PaR5b8iUY6xi1ZKMEtGr+6tb77vxImMxZ3/N/dxTorUyQSzl8eXt4x1yae/2ZYzELf5/+em8/wAqZFPJhoVbCv8AeGOuOlc/JCNRe0106X31t+PyPGslLUdaLb5YXFz5fTHyE5/Kn60bM6nKbC78+L5dkvlld3yjPB5HORUtvo4uohN9o257bM/1qgRg4q68a1DCqEoJJu6et9L+duvbp63qSlClZx31v1/O3XsOhhknkEUS5Y9Bmr1r4c1K5UkxbQOnzKc/rVO0uDa3Czhd23PGcdsV0tlrEU3gXWL+Cy8q7svs/lXHmbsb5cH5SMdOOc11ZThcvxTl7eTulKVl1UY8z6b6O12kdGCoUMRJqbs0pP1UU323sn2KF7pl3pV41rcx4ePG4ZHcZ7H3rW8D+OX+HXxK034lW3hj7Y9j53nW/wBt8vzd8LRD5irbcbs8A5x+NRfFDQtW8EfEfVPCepeIP7Tey8jdd/ZFh8zfCj/dBOMbgOpzjPesiJZp7G4kkmyU2Y+UdzXr1ZzwmOnSpJwnTm2r8rcZU22tdVdNW0unr0Z3SlXyrMpRpXhUpTbV+VuMqbdu6bTXS6fmj0H9o/8AabuP2gtF8JaHJ4A/sYeF/t+Zv7VFx9p+0tE3Ty02bfLx1bO7tjnzPUtMvNMuXtb2LZImNy7gcZAI6H3qKV2WQqxzitKB59b18DV5vOMv+sO0LnCcfdx6CvGm3mVapKo26s5rXRK8r3bt522VrX8jHH5hi87xk8Ti5uVabir2ilZLl1SSWyitF3vqZ1rY3V6SttFuI6/MB/OiS0kgmaC5+R1xkdfftU8N61g/mWq7QfvDOc+nX61Fc3D3dw1zJ1fGfwGK55UcLCkkm3Uvqvs28tn2/E85qlyafF+BdltBbTn7VLsRfvPtzjj0FZrMCMCrOoalNdu6sMK2OOPb2qoMZ5FPH1qM6vLS2V9eo60oOVobGjot9bWyOs8m3OMcE56+ldTrHjrSru3kaDktjA+b1H+zXERqXJwcVY1a1fTL6TThPvCY+bbjOQD/AFr1MDnWPwOAcYJcmivbXXmt17X6HZhsfisNh5Rhbldk/wAbfqRywqox5nX2qEqoON/6VK1zG0bK0GWONrbulOsrH7cXPm7NuP4c5rx5QjXqqNFXb9f1OHl55WiRyQxqpaObcO3y4zUun6j9gSRPJ3+Zj+LGMZ/xquWYDZnilkj2Y5zms41Z0antKXutfrp1uJTcJXjoPvLr7XL5nl7fbOa0pHtD4aKm6xN/zx2H+/69OnNZHHpRc3U62zKJOOOw9a2oY103VlPVzi19/Xp/XQuFZxcm1e6aJ9Yu31KzMqwbVh+8d2epH+FQu25t2K+h/wBpL9gG5/Z7+Fl/4/8A+Fxf2ulv5W6x/wCEeFvv3TxRj5/PfGPMz0/hx3yPniRPLcpnOKeOpYqEo1Ky1kr9NdXFbf4bfL0PTzzJc2yLFqhmNPkqOKla8Xo20n7ra6PzOxm+K63fhTVPCraFs/tLyP8ASPtWfL8uTf8Ad2856dRiueW9S0gRo18zfnIzjGDV34YeBn+JnxB03wLFq/8AZ/2/zs3X2fzdmyJ5Pu7lznZjqOua1Pi54N8N+AvEVv8ADHSNG3ahoW/+2PEP2hx/afnIksX7hiVh8tWKfKx3/eOOle3UxOeZhgVj6zTjF+yjLRe98fKkl2cpXkrWv717I6KkM3x2W/2jWa9nB+zi3bWV+fkSSve0pSvJKNk1zc3LF8hcSieZpQMZ7UsUwjhkjI5bGPwNR0oXKls9K+ZU6jqOXV3/AB3Pn7u9zZ0DwVrPiu3abQ4fOaLHnJuVdmSccswznB6Vi16z+yx8KfFPxWfX4tA+I39grpv2XzB/Y6XXn+Z52PvMu3Gw+ud3tXlVtbGTTlu2k5OeMe+K9jGYCH9m4avSpyTmp3bceV8rS91XclbrzJa7aHsYzLJUMrwuLUJJVefVuNnyNRfKk3JW68yV38OgzAz979Klt8rkqM5qa10oXIY+fjbj+H/69NnOnae3kPf5kH318o/L6fXrXFTwlamlUlZR73X+Z5apTS5novkVmYO248V23wq+Hd74pDyTWvlxT4+z328Hy9u/d8m4E5Ixz061yvhnS4/EOswaaJ/LWbd8+3OMKT0yPSveP2d/CNxb6xNE3gv+y/P24b+0RP5+1Zff5dv659qil7ahy4pLRuSXqkr/AHcya6euo4qpTiqttG2l6pL8ro4PVfg5451OfUTZfCzy3n8n7G39uRH7JtA39X/ebsd+nasj4kfD8eFLxtQ0qP8A0M4zHn/VcKOpYlskn6V9cW3gueLXLyNVyF8vuP7v1rxTx54ftNYMljexb4mxvj3EZ+6RyCO4q6FKti605pa7300v1fl6ChGdWTZ4VaWsmoXSWa/Kz5wevQZ/pT7vTJdNmMUzdehx1/X3qawuYY9ShmgtthXd/GTng+tS61ObqZXdeee/0r0YYbCvCSqt3mpWT1tay8l3fQ3jTpewcr3lf8DJbaTkN+lOhVg4YLnHbNOeBNpcce1IpbPytj8K8hU3Cqm193/BOW1mTXszTWsELR7fL3YOc5yagRJIwJymVHvWlPor/wBk2d+bzP2jzPl8v7u1sdc81nyCQSm08z5fp+NdeLo1adVVKid2o226xTj+BtWhUjNOfVLt1St+AxYgYnkZ8FcYXHWkeXdEke37uec9c0GQlSoHXrTa8+UoRVodtfvv/kYt22NkeI5LLR/7Al0/5l6yeb6tu6Y/rWFdf8e7fh/Ounl8FPc+Gj4pl1bLN1i8j/b2dd349K5q4i3Wcsm77m3jHXJr1M1o5lF0o4hact4X5b8nT4fLvqdeMp4qDgqy05U47fD02/XUeV28E8+lP2QKhcXGWHRdh5qxeWsXltcxrtHGFzn261Yj06y0y9hmv4PtUJ3b4dxTdxxyORyc/hWEcDV9o4pK2mrbsrtpPTXz2fp0MY0ZOVtLd+1+umv4P0KVuVUFnbGenFaOuWV3repS6vYQ74ZduxtwGcAKeuD1BqLUYbG7n8zTbP7JH2i8wyY4Hc++T+NV4Nb1K2txbQXG1F6DYp759K6b0cNTeHxF3Bu6cerV/wCa2nvPdJ7GqdOmnSqO8d7rq1fvbTV9Lmx8OvF138LvH2m+Pf7E+3Cw87Nr9pEW/fE0f3sNjG/PQ9Pxr0D4ceCbn9rn45an4kk0j7FBN5PnWH2gSdLZkHz7oz1h3cDvj6+WaRYa54q1GPQtKh8+4nz5UW5UzgFjycDoD37V+oP7BH7NafC/wXa22pz/AGucb9823y937y4I4EjAcOB+FYVsxrSwP1GlJ+x5uflaXx25b3tfbS17eVy5Zjiv7P8AqEZfuefn5bL47ct72vtpa9vK57P+y58HPDfhJIdPsU3M27by46eaT1c+tfSGkeDkspo/3OM5wN3Xr71i/DjwnY6LPDe21jtC7tp80nHDDuT611Wt+Pbaz1rTtMTTN/2vzvn84jZtUHpt5zXGqUalS1NO2u9ul3+SOJR5n7pteDPhZANbn1QNhLnbuXB+XarDru5zXeHwtpoheGxHk+Zj5uW6fU1yHhvxrcWSQSLY7xJu3fvQMYzj+Guu1+6ms9FlvvPwq7fl2/7QFTJVI2m/l8tBO+58yfH7WGS4naM+co28fdxxH7V8bfD+znf4x6tcNBgJ5H8Q727Cvqz4l6hLOs6zjg7f/Za8C+HvhsSePtSnBx5vk8emIm961VeLTcleTK5lZ9z6z/ZJ8XzRanFYXVvhX3bjvHGFmPYV3/7Q1r8NPG9nafCXUNe+xa74r8z+x/8ARZpPN+ymOaXphFwij7zLnPGTxXkfwL0e50rVklt5tmM4+UHHyyep96+gtW+EfhvxN478PePdRTde+G/tf9ntlxt+0RCN+jgH5QOoPtjrW+Bq4alilXqNrlu1b+ZJuF7305uW/lc3wk6NOvz1G1ZNq1r8yTcd9Lc1r+V+p+B37LHizwz8WfEv7P8A8E9K1XytS8Of8JX/AGqfIdvK+0JNPF1Cq2VQ/dY474PFfs98RvBzX/hme40aL7U/y7I92zd86g8seOh/KtD4+fDLUPG3iFY5vEn2SDT8+RH9jEn30jzzuB6r3z1rgfjf8SfHnhN9V0rwp42+wRReR9nT+zYpfLz5Zbl1JOST19a9nD4f6/Rw+FozipJuTTUkldU46uzbb5U3bRXdraHs1sVXzlUKUpxTjZWs0lywpUlfdtuNOLdtL3skeGfH34NxeKNAubXU9F3XD7PKj+0434eMnkOAMACvzA/aY+Clz8Pdanvp4/JZdu5chvM+WID+M4xu/Gv2z/aR8G3ukavpGuaVqnk2o+0fbbLyA32r5YlT5ySU2kk8Dnoa+J/2vPg3L4o0WPxCw3KM7bfpt+aFfvbxnpnpXJHAUcVQhUTjHm6vn0tdcuie9r7Pfe+i8qOHhUpxfMlfr72m6ts+19L7730X5klgwwTitRfBHigaNeeIv7M/0PT/AC/tcvnJ8nmNtTjdk5PHAPvUXizQW8L6/caFJL5jQbMvtxncgbpk+vrWivjLXo/C2qaA93ut9Q8jz18tRny33L2z19CK5MDRwU1V+suScYtx5bW5lGTV79LpbdLk4SOEk5+3ctpWtb4uV8t79Oa1/K5iXF759pBa+Vjyd3zbuuTmmfZJynmBMr65FRggdRmpReTCLys8VxqdOrJyrN3stvJWX4HNzczvIbqckLWrCOTd07Y7it/xle2+oa1q72PjX+37aP7P5Gqf2abXz8quf3R5XBG3nrtz3qnq3g/7JoF3qv8AaO77P5f7vycbtzgdc8VTuta1K9iaK6uNwbG75AM4+gr1qksRgITpYlOLmrpJ3T0nFXtO27vrFvTRxTfN3OVTC0pUqsbc9mtX0Uo9JW3fVN6aNJvmasK2580SbiOi4xmopXMrltuPbNKGkkjZ2f7uOMU1XAJLLnPvXlTlBpRWkXr+l+pwO3yEL5GMV1XwT8Q6V4W+Jmm67rVz5NtB53mSbGbG6GRRwoJ6kdq5q4jiac+Smxey5zjiksw5uVEcm1ucNjOOK3wVWtl+ZUq8Um4STXZ2aflv8vkdODxFTA46nXhZuElJdm00120+49M1jw3a/tAftCf8I/4T1bCar/qbjyDx5VoGPyuU/wCeZHJH49/qefxrB+xj4m8K/DP4ffB7/hKNQ1P7d5Wm/wDCQGy8ny080/vJVlVsrOzfeGNmOcgDzzwj4Q8b/sxfsieIPjXoKf2X4sk+ybNQzFP5WL9oD+7YvE2YpSv3eM56jIzvgJ8KLrw/8R7j4e/CD9lz/hO/F/hTZ9q8Uf8ACbDS/N+1QySr/o07GJcQl4+C2fL3cFgK+moTq4rH18VXg4xqyXNKOripScpcsbTbbhCpvpG13LZP6TLqMM0x9fF42Sp05yXPJc2nPJyajGMKjbcIVLXSirXlLZS+jvhn+1Z8QPjX+0H4K+B3i79nL/hEH8Q/2l9j1H/hL4tQ/wBRaPcP+7SJf+earyw+/kZxiv0b/Zo+G8+gWMOnXsvm+Xu3ttC9TKR0Y+tfCH7LP7EH7d9z+2b8M/jD8XP2Vv8AhDvC3hX+2f7S1X/hOdL1DH2nTpoI/wB1DN5n+t2L8qt9/JwATX6g+E9Jfw3bOUuvMWfGF2Y27Sfc5zmvKzvFUZ1pYbBVXPDxa5HJJSel39mP2nLdLQ8zPZYCGOnQy6q6mHjblclZvRN392L0k5dF8zQ8WeKdM8G+H7jxBrsnlWtts82XDNjc4UcKCerDtXx/8dPGJvY7m9sx5qrsyPu4z5Y7ivdv2kdR1PxB8P73Q4L37LHc+XlvLV9u2WJvbPI9e9fOfi4QatbXFubTET7PMHmHnBUj9RXmRoUqdOE6muuq8tPxd316ff5CjBRTffX00/4J83fDMQt8UL6WW3wf3WRvPH7h6+vPgf4ptNA1uLW4JPmXd+7weflkXqQfX0r5V8OaJBp3xEu3EeUfy+MntCff3robb4leNvDvilobTVPLslxi28iM/wAH94qT945rvweXLNMRUjhfdSV/e6rZrS+re22m7OnD4R4ypJUnayvr+Wl/66n6A/Fa/wBa1/4V6taaX4a+0XMvkfZrX7YqedidC3zHAXABPPXFfPfgT4e3ukX+r3WtjyL67+z/AGzTOG+y7AwT94rEPuUhuOmcGvS/g38Wp/GN5oXhi507/RZ/tX2hfOH7zaHdeiAjBXsa9El8EeHLvVL25sNM8iWTy/ObznbfhcDq2BgZ6VrVqVsHl08LKNue0tNdLpWd29Lxvor3tra6KdSpQwroNW5tfldab2tdX2v520PBNZ0Gw0rc9w2GXGY8E9cdwfevBvjf8EIPiZoNzZ3ugeQ42bT9qLbvmjJ6OuPufrWb/wAFXfH/AO1J8Cf2gPAfgj4R/H7+wbDxv/anmRf8IrY3X2b7HaWcg5mV2fc0jnquN3fArpv2CfiV8Qvj7+x34R+KPxS1z+1dd1b7f9uv/s0UHm+VqFxCnyQqiLhI0XhRnGTkkmvNrYR0MNGrZSjLRS81GEpK2juudJ3Vm/hbWplVwlSjh41tHCTaT80oykrOzvHnim7Wb+Ftan5OftAfAvVPhB4mms/IxbLt+Xcv7v5Iz/fYnJf8K88j27xubA9cV+nH/BQn4F2HifSRMthvVup80jPzW3+2PSvzQ1XSrrRdSk0vUYNk0WN67gcZAI5BI6EVy+xmoRqPZ7HNytJS6EM1tLBgyLjPTmo8HrWzp0Wn+JTqujad4D+06lqPkf2Tdf2oU+w+XlpflOFl3qCPmI2445qLxf4dHhfxDcaELzzxBs/e+XtzuRW6ZPr6111sunHDvE0vep35b625ve095Ru7R5tL2Uo3absdVXBzhh/bwfNC9rq+j101Su7Lm0ukmrtPRZYODmtLxJ4nGsae0H2Ly8Y58zPcH0HpSeGNBHiTX4NEF15Hnbv3uzdtwhbpkZ6etW/HngX/AIRKyjl/tT7R5uePI2YwV/2j/e/SunC4bN45XWr0V+52m/d6W6P3vtLbuXRw+O+ozrU1+72k9PL59VsZFqgmlWEtjOecU77LAJFU3eFOct5Z4q80Vjb6b58VniYdJfMP97HTp0rNYtjJbP4VzVaEcLCKmlJvXrt26dn/AJnNOCpJX1b16/8AANjStH8JzWugyL8Q83Wo/av7Zsf7Jk/4lnlk+T8+cTeYOflxs6Gsr7X/AKJ9l8v/AIFn3zUi6xqUdtHarc4jjzsXYOMnJ7VWJU9Fx+NKriaSoxhSVnZ30et1FNayl1Td9NZPRKyV1q1KUUqcVHTW19dIp7ylu05aW1k7JK0UBCxwnNX9G1c6QZUa23l9v8eMYz7H1qjHJ5ZzjNSyxHyY7kP/AKzORjpjiowtSdGXtqL9+P5bdfUzpylTfPB6r/hgvCjzMYm3A4wcYr1j4HfB+51D4r6h8OvEnxd/4QzxJbeV/Zdl/YA1H7Zugklk+dX8uPZGAfmPzb8DlcV9GfsN/sQ2R0ax+JXjvw5s1a383C/bCdm5riL/AJZzbTlNvb9ea+i/2gP2F9V+OWq+EPEnw9+Lf/CEaj4O/tDyZ/7BXUvP+1rGh+WWdFXasbDkNnzO20Vtha9OOJjVqJ8jkuazs7faS1Wtnprbvpc7csxGDw+YU6uLp89Lm9+N2m4vSVrSi72d17yV0r3V0/mf9nzx78QfA37aXhf4B6v8eP8AhK9Nuftv9u6d/wAIvFY+Xt06S5g/eKpY5Zg3yNxsweDiv0y+HfwUlu/ECC0hyq5+Xd0+RvV68I/Yp/YgvfgX418Y+KPid8U/+E31Hxb/AGf50/8AYY037P8AZY50HyxTOr7lkQcBceX33Gv0N8G+D7Hw7BlI8yN3yeOW9z2NLMZ4SVZzw8HFNuyd/h0SveUvee8tbXbSskkLNKuBrY6pUwdP2dNyfLHXSP2b3lJ3trLVq7dtLHg/j/VvA2s+DLmHwzf/AGgW+zz/AN1Km3dIu374Geh6elfEPgKyhPxu1BTHnHlbTk/8+zV9m/tUWng/4L6BqB8KaJsZvK85ftMh34eHHL7sY3npXxh8Lr6XXPihPqsUPlmTbvXdnpA4Hp6VVai6dGeIwyfsZNQvK176StZea+4xqU3GnKrST9m3y62vfR/ofceh+Brbx94Dew06bY0+MHaT92Unuw/umuI1nwNEVmt7iHaz7fn3ZxjB6Bq7b4X/ABJk+F/w0vfEH2L7bNY+Xti8zy9++Z167WAwH9D0rr7zTIPHa3d/b6d5Dw+Xn98W68dyP7tYvD11hvbRX7tSeum/u38+sf6uZezqey9p9m7+/T/NHxH8YfDfhzwpdyQ+J7DEF9j7FP5r/vdgTf8AKhJXBIHOM9q+H/23fhto/gLx14c8P6x4u/sDRNc+2fbNV+wNdY8mKBk/dKxf77BeCPvZOQK/WP4rfAnwX4we3/4SnTPtX2Tf9nPnSJt37N33HGfujr6V518Rfhf4S1HR57a/sfNRtu9PNkXd8ykchuOgr1qGJympSpJRl7R6VOsXaStypTi9YpqXvR1btbRr0aNbLUqLcW5X9++sWlJW5bSjLWKal70d9GtGvxObRtUfQrDV5Y9yXvm+U2VGdjbTxn/CoobGYM0bDDLjI4r7i/aS+CejatAklrpvlo+fl85jnBi9XHpXyF8R/DreD7+LToLfa3zb7vfn7RwpHyZOzbux79a78XkX1Sj9bmny6LVq8nZJ2Sbtqm9Xsnre17xOWyoUfrElaOiV7Xb2eivbW71ey9L8q1jdLH5xj+X13Co/JcKWYYA61oaMZNRu49Pnk+R8549AT/SjXrBdNWNI3yJM549Mf414EsFSlhHiad+VaO9r30/DVHm+xvRdWOy/P+mVLa6WAFSM+9Rz7WcurZH0pGQLGr5+9mljQyYXdjPtXG51JxVJ+Vvnt+ZjdtWJXuobbRby03bmn8vbxjG1s1E7Fskrj8ahvG3W549P51PdRmCZoC+7GOcYqp1ak6dukVb73J/m2VKUpRXZafmx0tldWpXzosbs4+YU15CAFZMY966HQNFXX/Edpo17PlZ/Mw+37u1C3QEZ6etP8R+DLWx1240m3uNot9mX2E7tyhuhPGK9h5Dip4eVah8HNyatXvZSt92v/BO1ZdiJ4d14L3ebl3V72v8AkcyFaR9qrye2a0PDXhvVvF2uQeHtCtvOu7jd5MW9V3bVLHliAOFJ5NUIpRHMJSmcds11Pg211XQ7a9+IXh7WPsl3onl+UPs6yb/OLRH72QMAnsevbrXDlmDjjMQuZNxTvNKyfIvek1eyuoqTWu6M8Dh4YjExU03Fayta/KleVr6X5U2r9TodYvU8EeHtL8EeKV+y3+nef58ed/8ArHEi8plfusOhPWvP7rT5LCNo52w6YyuPX6VP4s8V654v1Z9W8RXn2i5fG+Xy1TOFCjhQB0UD8Kr3WoyXlsz3K7pWxukzjPPoPavXzbNMNj5OnFe5Sjy0778qio+9Z25vdjtpv5HZmeOoY2o4wT5IJRhfflSUVzW05rJbabmlD8MfiDfeG/EfjCz8N79M8JfY/wC37r7ZEPsv2p9kHyltz7m4+QNjvgVn3GgavZXL2k9piRMb18xeMjI6Gu70r44Sad8Kfif8P4fh/wCevjz+xdupf2rt/sz7FOZP9Xs/feZnb1XZ1+bpU3hLR4PidNc6jZaL5EibPMH2ktuzuA6lcfcqctybD5ljq1ClJpqX7u+nPBc15fD5R35euh1/2XlmKlCng6jc2m2ndbTqLT3V9hU5b7ykt/djwGsamniDWpL+WP7OJsZGd+3Cgegz0/Wuv+KfwXu/BOlQ63pmtf2naru+1y/ZhD5HzIqcFyW3Fj0HGOetesfBX9kS5g1gatqN39qk/wCXVvLCeX8sit0l5yMdemK+tdI/ZCltNA/tqSTLL149XK/89f6Vzurh6eFxdPHQbrzacZdmpXleztr/AIX5WPP9rh40MRHEwvWk1yy7NO8tmlr6PysfltsdLSW7C5WPbnn1OK6a3+Dvj2DxVqHhPXdG+xXOk+V/aQ+0RSeR5qb4/uvhtwx90nGecV6f8Y/2PPFtn4jk0b4R6P8AbEvcZ0z7RHH9l2Ijf6yab593zt2xjHpXYfFn4C/FT9oC1v8AxN4c/Yk/s3XdY8ryNe/4WTBN5flFEb9wzohykZTkDGd3JHOGHwVCpgpVpKV422T5f+Xl1dQlZ3UWk7JpSu1o1tg8BgsRltatVqcs4cvKmpWldVLq8YTSleMLczimubXqvmbVvD2s6O8cepWXlNLu8seYrZxjPQn1FU2SSA4kXGfevsn4ufswtawSw+R5kR27k3Y7p38zPWvm34i/CTW9H1PfpNlvhbrH5ijy/lXuzknJJ+leauV0XVb969v60PI05b31OM+xXBtftKpmP+9keuKjlbdjini/uVtvsgk+T0wPXNRbucsM+1FWVFqKp32V79/LyFLk0sOim8sY25/GrdzM09mzLH8pxzn3qmzRkACPHqc9anjkYwiDPy//AF81vhptRlTb0a/EuErJobJaGF1AfOc9qdcWJigiuGl/1u7A29MHFK7SSIZS/wBzpx601p5rhFhkfKx52DA4z1q5Rw8VKKi7v4fwv18mN8iTVvT+vvNmPwroEeniW/8AFvkXQ+/a/YHbbzx8wODxg/pWJrk8MtuBE+714x3FTPeXt5eeXNc5LdTsHpVW4tjJp81wZP8AV7eMdcnFdOLr0KlJ08NS5Vqm7u75dbu8mr27JLsjatVpzjy0oKK+d3bq7tq/pZeRo+JddTxFqc+qC38ozbf3W/djCgdcD0qjcWk9sVEqY3ZxyKgmjeaMxxLknoM10fjfUPBt7eWEvhj4Vf8ACPJF5v2pf7dku/tOQu37/wBzbz067vaspReYqria00pXXSWrlLV+7BxVt3dx/upvQrl+twq16lRKSadmpXlzPW1ouKtu+Zx/u3ehzxBBwakhitiyTXtt5sa5yu8rn8RRctE8m+GHYp/h3ZrZ/tPwR/wrL+xP+FTf8T3/AKGf+3pf+e27/j2xs+5+76/7XWubD0YurP3l7qbV1Jp26WUZb/3lGPdozw9GFSU71FHlTaupPma+yrRlq+nNaPeSMFECLtQYApat6Ppp1W8Fp5/l7v4tuexPr7UalYJpl/JYM3m+Xj58bc5APT8azWErvDqvb3G+W/nva2+3kZexqey9pb3b2v5lZAnmYL4Hrird1awXE0UGmXf2h23ZHllMd+/4/lUK2oC+YzZHpirWlmCzEmoNBvaHG0biOuRXThqDl+7qJKL1b1uktXa11t3TKpxTfLLZ9ddF1/qzIV0oRMU1C48hh0Gzdn8j9KbFeRwXAlHzAfh2p+paidQnMqReXjtuz2H+FVZIvLJG7OPalWnSoy/2ZaJ763fbf/JCm4RlaGy6/wBf5D7m5+0bfkxjPepLDSrzUgxtI92zG7kDGc+p9qRLINaTXPmf6rbxjrk4q94X1iLSvPEtl52/bj95t24z7c9arD0IV8dBYt2Uk3f0Ttsn1VtiqNOE60VVdk+v3+vVdilfaetpcvbRz+YVxg7cZ4zTLSYW0wkdePrV7XbCXT/Ecuny3Xmsm3MmzbnKA9PxqpNbxxyopGQc5FVWw8qGIm4R5XCTVt7a28/zCpTdOrJWtZtW+fzOx8H/ABmTwlpv9nDw99p/2/tezux6bD/e/SuSGgam2k/20IP9H/v7l/vbemc9faqs4VZCqLgD3rqPhhomq/E3xVpXwog17+zoL7z99x9lWbbsR5h8uVJ5TH3h19sV6Ecdic6q08Fi5ObinCkoqK9+Tikm7LTRXbfTc9KlXxeb1KWCqNya92mlyr3pNJJvTRu2rfzOVVtvapre5MOSIs5/2qgtlLwRyO2S+e3TBp8hCnYoxjqfWvBpupS9+9v+D/wDx1eLuat1Y6A1u13beI/Mm422/wBjcZ5x948dOateOodLX7L/AGbq32n7+/8AcMm37uOvXv8AlXPK7Icqama7uLyRVuJN2M44A/lXp/2lRq4WpR9kk58u3N0d76ye/wB3ZI6/rVOVGcPZpOVtubo731k9/u7WNjwX4J8SeLRcnw7p/wBp+z7POHmom3dux95hnOD09Kp6XaaTpviCK28Y6X50EO7z7fz2XOUJX5k56lTxV7wb8Qta8AyXa6O2PtXl+Zwv8O7H3lP941m+JdYt9d1ubVrTT/skcu3bB5pk24UL94gZzjP410VKmU0MtoVKTbxEZPnhJXha7atpqtFdN9drXt0yll1LBUalJt1k/ejJJxtdtW01Wi5k310Vr2rSWGiyY2S+Xjr8rHNFLbi3XPnW+/0+cjFFcCpqouZqC/8AA/00OBcr1dvxI5Zp7qUyStuZupwBU2lQwTahHFdrmM53DJ9D6VHZ3BtblZwm7bnjOO1JNIJcEDpXNCdNNVpvmknez6rR6vz1IUkmpPV3LGpiC1vXi08bUGOOT2Hr+NTG/vbG2/s64l27eqbQcZOeorOVtvauk1Hx9Hq1m+ny6b5KyYzL527GCD02j0r0sFWwtR1Zyreyk/hik2ne91pZLpq9PLt00XSnzylPkfRWdnvppt0MKS3urBg7JsY52nINLBpeo60XMMHm7cb/AJgv07j0qa/1FL2aIwJkpu4z64qSPXWtYlt3s8lc8+Z+PpWapYD2zjOo/ZLa3V2XWzXXt0IUaHtGnJ8v9eX6FC3DWatHENu/G8dc46Vd1TS9b0VFF/B5Sy5x8ytnGPQn1FVxqBOn/wBniH/ge73z0pl1IZMEpjGe9YKVCOHkoyk3ZWs7JN3unpr8mvmQnTUHq29La7d+mv3ofam3m3G65Ixjr/SoEleNxIjYYdDinQQTS5MUecdeRTJFVHKq+4euMVzTlU9lGVrW69X8+tvwM25cq0Nbw1cG31JZ798RLnccf7J9PfFM8T38dxqrvZy5j42nb/sj1rML5IOOlL5ntXY8ym8B9WX83NfW/pfsbPEy+r+y6Xvfr/ww2p9MS1e+Rb0ZiOd3X0OOnvUFAGa86lJQqqTV7O9ns7dGYRfLJMtap9jhumXTuE49fQev41VOc81ZspIEUrPNsx0+UnNRzQAEtG+5ezYxmuqvH2q9rG2v2V0+RU/e95denYjYDqv40qqDyRQY3QYYYz0oXI6DPrXMoe97ysRYuauNK+2SSaUP3PHln5vQZ689c1seE9X0Gz8HeILDULjbeXX2T7Cmxju2yEvyBgYGOv4VzYJUcr+tBYZBFejRzKeGxbrwhFNqStbT34uLsvJPTtZbnVRxk6Fd1YxV2pK1tPei4u3onp2diaeM3Ny7RDcOPbtRrzW95fStavmNtu1sH0HrUDHIBpBjPJrjqV+aEoJfE7t/f/mc7m3Fru7/AJ/5no3xG+OHxl+IXgi/0jxR8UP7U04eV9ptf7Et4N371WX5kQMPmUHj0x3rzuR90hYGptR0W8g02a7Cbo49vmNkDbkgDvzWxo+v213pcfha7XyEbO66yW2/MX+6Bz6dfevaxHtMyxUY4qbpy5fd5nKfM+Z2Scn7qd+9k031Z62LxOKzXEKWMqy5+Wyc5SlfV2Scm7LV9bJ3fUxjYvqIysW/y+vzYxn/APVSQGbSZZIoT5ZbG4dfp/OntDcafxNF9/p8w7f/AK6gkJkcttx7Zryqk3Ss4pxqdfu9E9rdTy2+Xa6kOkfcpweKjAJOBRTih7GuVt1JXM9xs1imxJ5Ivv5wd3XFWNKnsra4jTUH22y53jBPY46c9cVCgIzkV0Xwl+HVl8VviTpXw9vvFP8AZEOpef5t/wDYTceT5cLyj5AylslNvUY3Z7YrpwsK08VBUI3k2ko93dJK2l7vp/w504OhXxWLp0aEbznJRSbWrbSS1stX3aXdnSeOfiJ8PfC1tDF8D9Y8g3W7+0x9nlbdtK+X/wAfCnGMyfd/HtWN4G+OnxW8Harqms+D/HH2G41XyP7Qf+zIJfN8pWWPh0IXAZugGc85r6v8fft+/Ay/1nSNC0XV/tWn3f2j+1dV+z3Sf2fsVWi/dNBul8xgV+U/LjJr5S/aB8W+HPHvxo1zxX4R1L7Zp919m+z3HkvHv220aN8rgMMMrDkdq+xzvGS9lHGUsXG8Z8qo0rwjH3H78Upy3vZuOl5NN3uj9D4ppYfK7YzLszjOUZqKp0b04wvBtyglUlpraTjo5Skm73RyNlNLp0ivbT/Mmdr7fX2P1r6+/Y48P6TFYaWNO1P7dap5+268lot+TPn5ScjByPwr5DmukhtCMZI7fjX0i/xA+IXwK1jStL+NHw4/4R+01bz/ACL/APtiK7/1S5b5IFc9ZEXnH3s84NfI08N7VK8nyK12k2oc2mv3eV7H59RwmIr0pVIxk6cLc0km4w5nZXa0V9le17WR9NeHLbT7/wAZ6jC4+X9zgc/88zXzz8UtDt7HxBNHEcqdvr/cT3qVPjr498IeMpl8M/Db+1Yp9vkTf2xFBv2x/Nw6EjBYjn0964n9oTx5o9xBJBfxfaReY8u23MnmbDHn5gvGOD+FLE4OthJe+pckvhlZpSXdX73XpczrUKlBptPlezs1dd0RfCnR/wBjvQda8eaT+0Zb+VdRf2X/AMIlHv1BsZV2uubUkdDF/rP+A965DWZP2eY/iZ4h/wCETOPDh+yf2L/x9/8APEed9/8Aef6zP3vw4rz63lETbmp10GYLMVwr52nPXFelQzdUW60aFJvnlOzhe3MnHl3+BXul0lZ3PcfEHNhKdJYSh7kpSv7P3nzc3uyd9Yrn0Vlblh213tYufBTanINIf/RuPL4k/ujP3ueuax7+aywq2LcHPmcH2x1o03S4dRkSBbzbI+fk8vPTPfPoK6aT4B/FkEg+FPu9f9Pg/wDjlRisVi8XQdX2MUm/sLbZ20btvaz6Ox5NetVrpz5Ek39laLy309DklSScYAyF6UySN1cgity/8Gar4euDp+tp5Fyv+shyrbeMjlSQcgg1Q0PxF/wjmuReIPsfneTu/c+ZtzlSvXB9c9K5pYWMPZLEPkU2ru17Lq7LXRNab9DJUYqUFVfKm1rvZd7eS6FEEbSD17UgBPQV0vxC+E3xK+Ek9gPiJ4W/s7+0fN+x/wCnQzeZ5YXf/qnbGN69cZzx0Nc5ITI5cDrXHWw9WhP2daLjJbxaafe7v69thYnC4nB1nRxEHCa3jJNNXV1dPXZ39BH27vl6Uk13cQ2E1rHJiObb5i4HODkUpUA4LfpWv4i0Lwna6NNd6X41+2TR7dlv/Zske/LAH5icDAyfwq6GGxFWM6lNpcqd/ejF2ad0k2nLS90r9uoqNGrUjKUGlyrW8kn12Tab9Ff8SoL5tQ1PztXl3q/+sO3GcLx936Cpba2trK4U6gm1Gz3J7e34VRiSS5nCRJlm6DPtTrSMXU6wFtu7POM9q3oYiTqJyjzSctJS6vTe+/3q1/MI1JN3au77vr69/wDgj9Skg+2O1kf3Zxjr6D1qBBu4UfNWtrmm6Tp2j6dNaa59ouZvO+12v2Zk+zYYbfmJw+4HPHTGDWZZ3Bt7pZxHuxn5c47YqcXSdPGuNRpXs3bVLmSelm9r7bp6PUdam6dbllbWz0s0rpPo3323T0eqaOl+CfwyPxj+J2mfDhda/s46j53+mfZvO8vy4ZJfublznZjqMZz7V+5PwSsNJtbaKxdsEbs8N6yGvxw/Yh0m1HxusfF0+peWuk+b+58knzfNtp065+XHXoc+1fqx4P8AFMGpRQSab86RbueRjO71Hsaxw+Dq1paq0e/T79jOFOU35H0jeS6fo9ktxYRZk52HcfXB659TXGDxZ5WpKkjcjO046cc9qw9J+H9/qtmtvqN55EfO5/LDY5J6BvYV1/wb+AOheDIr9l8Uf2g915XH2JovL27/APpoc53fhiuirhsHTozkq95LZWeutnrsrLXzNZUqCpyftNVsrPX59CD4lfB/QvjvBosN74T/ALSlsPtO3/T2h2byvo6A5Efv096+i/E1gb3w5PYqmS235c+jg1zPhT4eQ6PPJqMb4MuMDHTAI/vH1rrr+eWC0dY4N7DGBuxnms62Mr18LRw7leNO9lrpzO76237WCriq9bD06EpNxhflV3Zczu7LZXfY+OviLp8klzJFIMquMD8FrwrS9etPDviuaW6uPLLbdvyE/wDLM56A+tfQP7XHhq00TR9SttZvvsNs/k7rjyjLtw0J+6pJOSQPxr5e+HfhrSfEGrS2+meIPOEO35/sjL1Vj0JHoa3wmAw9TCvEVpyUVKztF22WvNZpO7tbf7y6WHhKh7Wbdk7bO23fb5H1t+zJFqt/4it7VV5O/PK8fJKa+rFijhOUXGevNfN37Kvws1awDeJxb7ljxt+dRnPnJ/e/pXvmmeLdH1K9Sx0yfzmkzk7WXbgE9xz0NcVald3g7rrZbepyuPVHN/FbxxbaWn2OJdzr1OSP7h/u+9eMf8JJqWo6qrW5yFzuXj+77j2r2/xN4V0LW9WuBcz4li2eau1uMqMcggdBXD+LZvht4GsZl+3eZdRbd0PlTDOSO/I6Nms6dCrVmoxTu/1CMZSdkih4U1LVde8LXyawfPaLyvLHyr1c5+6B6CvJPjX4Xtrzw9IkkO3OPl3E/wAcfvVd/Gujfs/2lxceJbnF1qGz+zrTY377yziT5kVwuBID82M9B7cn4t+JVh4/8NT+J41+zxT7diZL52uEPO0d19O9e7mOVV6MZV4r9w2rTtZN2Sstdeuq6prc78Vga1Kn7ZJ+ybspWsm/L8fmmflP+2d4P0rwt8REnsLTy5rvP2h/MY79sMAXgkgYBPSvMPD2nWkly13rMObOHH2htx4yCF+6c9cdK9S/bN1hdc8fwvA+4LuwcY6xQew9K8w1ZtQtrRre90/yvOxtbzQ3QgnpXn5fTpxcq9SLahqlZuLetlLRqzdu1+5z4dRi/aSV1HXbTyv5X+8WfR7fVNUuf+Ectt9tHs2fORjK8/eOeoNUdIltoNRjkvWxGM7jg+hx0quCVOCKdIY95dXz+FTPE0nONanBRkpNtfZ3uklZNJbWu/kKVWEpKpGNne9um97JdEvVnoXxz+KVp420a3stJ137VGm/7Qv2UpjLRleWUf3T09K8+iEGAZR9eteo/EDxloms/DPWrKK52zN9m8qPYx3/AL5SecADAFcBrngfxd4a1bUNF8Q6N9ludL8r7dF9ojfy/NUMnKsQcgjoTjPOK+p4vpYuvmyxHMq3NBXcYvlj8enxTtpCUtXtzO1kz6HiWnisTj/rPP7XmiruKdo/ElHeVtIOWr2u7WRlKGbhRQC8ZIBx61LJp95HE07w4VcbjuHGaSCzluATGOnWvjVRrqajytS/Q+Z5J3tbUaWmcbiePwr1n9i74Wa38SvjTYtZ6f5un2Pm/wBozeaq+Vvtp/L4LKzZZcfLnHevJgzSDylTk+9fpR/wSk+Bnijwr4Qm8S+N9V3RXO37HpXkIPse2S8R/wB7G58zeSrcj5egqbtSTV2Tqe/3Xwa+GPxW+Hd98GPHehf2ro1x5X9o2H2qaDdtm8+P543Vx86K3yt2weDiu6/ZH/Y7+Ef7NXifVT8BfAH9hW2ueR/ajf2rcXXn+Sk3l/8AHxM5XBlk+7jO7nOBj1Xwl4FttTK3kRwJM4HPGNw/ve1d1rE/g74d+ErvVdUuNgtvL8x9kh+9IAOBu/vCumClWrKFON29NdXd9tuuxcYuc1GKu3p3M660Hxx4uvNI8NiD7Vov+kf25DuiTtvh5yH++ufkPbnivRvBXhmy8JaDFosNl9nii3bIvML4y7MecnufXvXD/BTxj4fGq3Wl6ZffaWuNm9vKdPL2rIR1HOefpiu98SaHPrggeGTb5e7PAPXHuPSuvMJ1ITWFl7sFrta71d2u+tr9kjavKatSeiXy+b89beljh/HOsaP8T7Wfwdo2p+fJdbfIj8llztKu3LBeyHqa8P8AG3wdg8CwzyRL5by7dvJO7BXP8ZxjdX0B4Dh0vw/eW/hQ6t5tzbb9w8hlzuDP7jofWuH1/wANfET49eHbvTfF3w7/AOEansvL+wRf2vDefbN7gvyhQR7BGp5zu3cdK0VOlVhOFOVqUbXbkru+zto3sr2Ttu2kUoKcZcrtFb3au77WWjfyTtuz4iS5+x/EZpLifImxk7euIfavpDwJ8HNU8X6emo6fDmY553L6sO7gdFNc8P2H/HEPjKJJbbake7ed8RzmPj/ltXtCeBtZ8DaDqHg6w0r7VdSeVsTz1To288liOjevauKhh1UxPsoNW76Wtffdd+5jTp81TlT+ZvePPiv8OP2avBFjpviTxd/Zt5f+b9hP2CabzNkql/uK4GBKOuM546cfG/8AwWE+L3jT4q/8E8/FGt+EfEP2/wALT/Yv7Tl+yRxbturWSx8OiyD96jfdHbnivtzwdqBXW5dGeDFydv7vd/ss3Xp0q58a/gd8Kf2jfhJqHwU+Onhv+1PDmseV/ael/bJ4PO8q4jnj/eW7pIuJIo2+VhnGDkEg9qr5fg8K6UKXPUaknJtNe8mtIqN01dNPmeqvbouqNbCUaHLGneeqbbTjZprSPLdNXTT5nqr27fkP+wV+w3+xx8e/2xviN8KfGfwx/tTQdK/sj/hHbH+2tRg8rzdPuJrj545kdsyRqfnY4xhcA4r7C8ffsy6L8E/hBY/DH4E+CP7Ms9C83+xLL+0mm8jz7hZZvnuJGLbjJIfmY4zgYwBXx3+yT8U/jr448aeH/Cn/AASj/Z5/4UDaeNftf/CWat/wltr4q/t37HHM9r+61hQbXySt4v7sr5n2jLZ8tK+i/wBmz/gor+2F/wAJP8Of2Wf2w/2Zf7Q8YeLP7X2+Pv8AhNNPi/tD7Kkt3/x42Vv5UXlw+TD99d2N/J3Cksd9Tzek6NJQnpJQk1dwnObhJq0XySV4KTSjPklZ+61H3MZg829qs4pYJ06MpOS933EpS5op6RSg1OMIt2jJJqL0aXyx8Df27vEfxL8TaF4O+JPwz/s/Q/GH2r+zNZ/tpJfI+yJI8n7mKBXbc6KnzFcZyMjNeNftx/Bh/Bustr8Ev7hMbPl+/lbdT/GSMFvSv0T07/gk1+zL4Z12w+KPwt+H3/CGahb+b9nt/wC1r3UfL3KYW+aa6KnKlzyvG/8A2Qa89/4KR/BfT9e+Hsslzb7yu3cm8jH721xyHHpV5tXoVYKpJqVaTakly2VoxX2YQjdy5n7t1aybbvJ+RmNXD1lGov4j+JK1laMVtGEY3clJ6X0au27yf5UbE8p2xyMYp1vdy2wIik2568ZqEHAI9auaVpt3qQcWsW7y8bvmA659T7V5eH9rVrxVFe9bp8+3kedBTlNKC18iul1cRDasmMewqK+Ym2YE+n86c2c8iorr/j3b8P51g6tSzTbaIuzSe8R9I8lpMue2P9qqOD1pSAByefStHSNaay0fUNEW03nUPK/eeZjZsYt0xzn6iulTWMrRjWly2i1ezeqTaX/bzsvK9zWPLVnacraPpfVJ2Xzenle5Qa2nSFJ2TCSZ2HI5xwaYcZ4q08dxYqs80PyzZ2HcOcdajs5/s12s5TO3PGfas5UacakYNtXte628+m+6Xbq9yXFKST0/r+mSXmlanpBWW7g8vdnadyn69CfWvpv/AIJ//AjxJ8W7m4uNfst+jts+xnzEHmYFwH+66uMOg6/hxXjPh60n+OPjXS/Adgn2KW58/bNkSY2xmTodnaMjr3/Cv1a/ZD+EXgz4S+EY/Cvh+18mOxztj3yNjfJM/Vnbu57mvUrc+X4uTyutNxVveTaetr7W62Oyc3g8S5YKpKy+0rp+e1uuh337OXwv+InhDw/puk67pnkxp532iLzoW25eVl5VjnlgeK9ctvDhtbN7+ZMFcbeenOPWtvw7bXkNiCLLcf4T5gGeTXReH/CF9qaPDd6b9n3Y2/vg/TOeh9v1rz8bjJ5hiZV5xjHmbbUdFq29rt9TnxNeWKryqtJNtuy0WrueDeO/2sP2d/2fbyfXfjF8Rf7FtdO2/bJf7Iu7nZ5gVU4gicnJkQcA/e56HHrf7KX7dP7PH7aEWsj9nX4pf8JLN4c+z/23/wASS7s/s/2jzvJ/4+oIg+4QS/czjbzjIz8+/wDBUT9kD4wfF/8AZy8XeAvhR4Q/tTV9R+wf2Paf2hbwfavLvLSSX55pVVNqI5+YjOMDkgV86eDvCn7eP7BH7J37Tn7W/iLwD/wrTxDrX/CF/wDCJXP9q6XrOPJv2srr5VMqf6u4A/eRj/W/LkruHXisPgaWEhOlJ3ajdPW7fPzNSSSilaK5Xd+9vozprUcEsIqkJtT933Xre/PzNNJKKjaC5XdvmvfRo9y/4KQftUfCn4NRWlr8RfGf9l3mseZ/ZC/2dPP5vlfZTLzFEwXAdfvYznjODXw/8NP2h/iv8TPH2uXP7OHwk/4TGy0f7N9q1H+3oNPz5sTBf3d1Gp+8kq8Z+5njIr6S1D/gn7/wUM1j4l6B8f8A9sv4q/2hpfgj7V9ml/sPSYvL+2Qi2bixnDHLCDqjYx2G417B8JvFHh34cS6jo17qfnR/ufJuPJdfM++x+UBsY3Y561x4fP6TyOo8qqUsVKE7tUZQrJ35U17WDqU01zKThbnS10TufsHCnhdi8ZhL5pP2SU37sVCUmuVWfPzTjFXezg3p0umvLf2aP+Ctnw4+DvxM174dftnaB/wq7VtB+y+XF9qm1v7X58Msp5sbVlj2o8B6nd5vYqwr6q+CH/BVD9iH9qD4qaV8DfhN8eP7b8Qa35/2DTP+EX1K287yYJLh/wB5NaxouI4nblhnbgZJAPw1/wAFZvHngnxp8HvH+q6D4g857n+yvKg+ySLnbcWYPzMo/uk16D+xn+yn+3dqX7d/wk+PHxc/ZT/4Q/wn4P8A7e/tHVf+E50vUP8Aj70ue3j/AHUMvm/60Ivyq338nABNXDDSp5fCti06dWdOE/ZyhJO8/ijd2tyd7WlskrHxvF/COWcMYutR+t3lyxnTi4O8lKc4uLknypwjFNtpc17KKPrL4i21npesSyiXyZrvb5rbS27aq49hwa+XP+CrGlJZ/wDBPTx491NmYf2Xgbev/E2tPQ46V+hniXwm0l+s1pablbPHmY7D1NfNXxz/AGWfD3x90/UtE+N3hfb4f1byf7T0v7c5/wBUY2j/AHlvKj/6yONvlI9DkZyqFOjiKbU5crS0bd7vorb/AJ208j4aEYzi+Z2t+PZHw/4y/Zi/ZR+Fn7a3wO0b9nDwh/Zaa3/wk39uD+0L6fzfJ01Wh/4+pG243y/cIznnOBXA/tqfsz2ugXsl7BY5tZ8eZH5p42iADnzCepr6++Bv/BMv9mj9lbx9B8XfDGlfb9c03d/ZV3597F9l8yKSGX5HuZEfckxHzKcYyOeQvx2+Gr+Kjqt8miebFfeRs/0nbt2eWD/ECeR7UUMrpUIyoQr88Yq6lJt8zbWl5Rg9LveK0Vlfc9rP8Vg81zitiMLThSpvl5YQ0irRina8Ybu7furW++5+ON1pFvpVu1rqtv5d3HjzF3k4ycjocdCKh8MtpyavG+qHEIzuPP8AdPpz1xXfftU/C25+GvxFkW4udy3mNibANmyGHPIZs53V5nLEY8ZPWqhiuWpTqxpx/d2+du/e540a3LOM1Fe7b5+pt+Ltbn1hoNGsrrzLDT932KPYB5fmbWfkgMcsO5OO1Y1qpNwqkev8qbEiPnfJtx7ZqVUksbndIn3Ooz6iqr16uMxX1qot2r9UktEkt0klZLstNB1q08RW9rPr+CWiS7JJWS6JWQy/0u9hsZLiWDCpjJ3DjJx61d1PwvrWko739j5YjxvPmqcZxjofcVJ4r8VHXLDyDYeVt7+buzyPYelT6x4xXVtdk1r7B5fmY/debnGFC9ce3pXZLD5FBzjGq38Ki7W35uZtcv2fd00vd69uiVLLoqVptvS3Te93a3TTS6vf7s2CeCQMl0+QcYGD/Sp7DW9Q0aWUaLdeWsm3f8gOcZx94H1NU5S8w3CPAXrzUexvSuH63iKVRODaa2krqXXrv1Zyxq1Kck4uzXVaP7x08RjmMYXGO2a7bT/h1c6ReoviHR/LSXOz/SAc4Bz91j6iuLtrr7POs3l5xnjPtXpGtfHmC/WMw+HOUzx9sPOcf7HtX0HDKyBe2r46pyyi04pxumtb9H+Fj2MmjlDVSpjJ8rTjyq109730fl2+Zx/jXSbHTdUK2tvsRvu/OTn5V9T71mXP2HLfZOnG3r/WrHirXz4l1iTVDaeR5mP3fmbsYUDrgeld7+z5+z5q/wAW9SS5uLf/AEHnYm9f3/EgPIkUrtZPxrx8xxmGlj6zw8VyNuztbTy2tffY83GVKMsVUdJLlbdtLaeXY5n4afCzxD8S9a/svSItkSf8fFxuQ+XlWK/KzLuyVI46V99/svfse6Ra2kdrNY4jiziPzW4yZT186tP4M/AzRPgv4QjWbwz5FrBn959tZsbpH7b2PV6+pPgnd6Fqujx6npPCHO5fm/vSD+L6GsqmDxuGpe35WoXtzJpq/a6M5YevTp+1t7t7X3V+111PMpv2XfE2mXEh8E6H80ePsx+0p3Hzf6yX3brXpH7PHgf4uWfhHxD/AMLas/LjH2T+y18y3Of3knm/6lvXZ978O9e4eDdNj1K6W7mt/KBzzv3dmHr7VpfHy7/4R3wjIynPk43D6yR/X1ruq5/isTgKmFrU4ylO3vtNzVmnpJt7219X3O+Wb1quEqUKsIzlNp88leas76Sb69e92fnPqHgyTUvjdNZ2lr5n3fl34/5dge59q+5Z/AtjeeEI1todiLnjcTj957tX5GfH/wCNGs6f+0/4w0jVv2if+EKtdN/s/wDsqH/hEV1LzvMso2l5VMrgkH5s538fdr6P/wCCTvx8/aA+JWt+PPCmlan/AMLM0Hwv/Zf9mX/kWmjfZftK3jyfIY1d90ilfmLY8rIwGqlhpY3L6NJ1EnFySTdNfzN3bq3Xw2TcEnffVXv6lUr5fSl7SO7STnTVvibunU5o/DpeCTurPWPN9A698B9OmSTzbXazYx85Oen+3XhHxw/ZastShkWC3w3H8Z45j9Zfavt/xzo89gstzd2flhdv/LQH+6Ox968Q8b6zp1vf3H2qz2rLs2HzCd2Aueg4ryKVDEYttR1/pefY8mEJ1HZH5e/GT9nN9Eu55Lm18m6k2/6Rv3YwE/hEhHQ4rxqzvfEPgTXC1vL9lvYOvyo+3cvvkH5W/Wv1V8TfBbQ/ivpX9paXcefBc/6ubYy52sAeC6nqhFfFP7Uv7OmqeGpZbSysvtFzFt+y/vFTGfKLdZCOh7+lTTjisLi4qnzRqp2sk1JS2t3vfTvcqKxFCulG8Zp+aaa/FO/zufPWveIdW8S3p1HWbzzpm+8/lqvYDooA6AVSQbmxirv9nnTLiS11WTyJFx8uN3bPb6iqODjOKrFLEOr7TENubb5rv3rrve7v6hWdWVRyqtuTbvfe/nfW/qbGraLcWdm1w9tt2453g9wPWsp4ZlRZWXh87Tnrilil2OH29Peu08Mx+CdW0C2j1vxt/Z08O/dD/Zsk3Vz3XjoAfx9q9bD4TDZzXkqclTajdKUopNprrLlWz9dDsw+GhmFVxg1F2v70opPVdZOK2/IxPDPg3xf481fTvCvhTRft2oar532OH7THFv8AKUu/LkKMKpPJHTjNc9PKZrLzMYz2/GunvvDWgah4y/4R3TNZ+3wD/U3f2d4t/wC73H5CcjBBHJ7ZrmrizljsnZY8ImM89MmuTMMNVpK6V7OUW01JXgo32Xdt35mmmu13niaPs4JcrunJNqSknyqO1l0d3fmaaats3Kaa6nnJ8yTOevApIlHmAOOKbGMuBStFIgyy4/GvNvUm/aSuzju27skIgDnePp1p2qNavfSNZn91xt6+g9feptM0iK9jMtze+Qv8B8vdu656HiqcpBckV0VY1YYVOUUlJ3W19L+d0teq10sXJSjTV0rP7/61EBc9DSgZJ3CnKhlcRDvWr4a8AeK/GElxH4a0v7V9l2ef+/jTbuzt++wz909PSlQwuJxNSMKMHOT0SSu3o3old7alUMPXxNRQowcpPZJNt9dlrtqZAldD+7bGOnFTWE11BL9ptGxKn3GwOM5B68dKgAU9Wx+FSBM/vIju29e1RRc1NSvtro9V5rtbf5GcW07ofqN7fXkgN/Ludf8AZA9PSq9dd4S8BfEb4waaNG8A+EPtv9hf8fcn9oQx484sycSMv9xumenOOK3fGvwB+Pfw++HNz4s8X/DP7HpFps+0X39s2smzfMqL8iSFjl2UcDvnpXpVMsrVlLEyc3TcbqbhJptLWN/7rvFvbS568clzPEYeWLhSqSpcvNzqE3HRe9eVrWi003e2jPO5xDGn7oYz1qF7yGEBVkw/8fB/Crmo6BqGkqr6hF5YfO35gc4xnofcV3X7PX7RMn7Pb63MPBf9sJq/2b5v7S+z+V5Xmf8ATN92fM9sbe+eMqeGTxqpYuXsI21fK246XT5VZ67fMwwOFw1bMI0cbV9hB3vLlcuXRte6rN3dl5XvseepdpeSvd3Mm6Ncea2MYzwOlRwX6iN7eKX/AFmMjb1xzXq/jPwl4z/aL/a6u/BusaH/AMIzqut+X51j9pjvfs/k2CuPnUor7liB4IxvxyRz6t/wU68Pz2d74Cgik815v7V2jAXoLU+tdc8sqLD16/O+anNwV17023yyur80LJp2ktW2t07e++FK7yrH5jGo+TDVFTTcWnUbmou6bUoNKUW003eXLumfKWCxzTJIo5cb1zjpzVtY57GV4J4sMMZG4cVJeXNsQ0VvN5g4w20jP515P1ZezcpytJdHvfX/ACPkeTR3epSCCNQgGAOgp4KCNeeec10Xi/xpa+JYYoI7bywm7LbyepU+g9KwliN2ojiORH/F65rqxeEw9DESp4aqqqsrO1r7N6X6dzbEUaNOq4Up8672t+BXuGW3bbKcZ6UK4kTeDkHoa7Lwr4+l+Gnxks/HsOif2gbDzP8AQ/tPlb99uY/v7WxjfnoemPeuevNYkufDWlaDJZ7G0/z8yeZnf5j7umOMfU062Bw1CNX9770XJW5XrZwS121Upu3Tk/vI2qYbC06Mn7X305Ll5XsnCzvt7156dOTX4kb3wy8I6Xr8N3PrWn+ai+X5B81l/vhvukeg61ieMIdFTxLcQ+GlxZjZ5Iy39xc/f56561SuLky2sNuY8eVu5z1yc1CcHnP4Vpi8dhJZdSwdOilKLTlPTmldN22Tsr21bvZdgrYuhLBQw8KaTWrl9p76bLRX89kOXd/FRSLx93mivLi2onn3Yhyp4NOt4jPKId2N3fFIxc8tT5ri4kZTcPnGccD+lKMYJ3le2nTp630KVuok0HlTNFvztxzim7Q3I49qHYMc5pQkoj8wD5fWhqLk+Vaff/VhPV6E+j3NlZ6gl1qGn/aoUzvg80puyCB8w5GDg/hSaxd2d7qMlzp9h9lhbGyDzS+3gA/MeTk5P41BLJLJjzDnHStLw9LpNusrau2A+3yuGOcZz938K68PfERWE5lGLfNzNJWdur3t0te17aXN6TlUiqN0le92l27728r2v0uZ1vJFFMJJ4fMUZym7GePWp57uynjMcWneWx6N5xOPwp9vNZRRgM2GHsaW/wBF1my0ey1y/tttrqHmfYpd6nzPLba/AORg4HIGe1S28PS5VJO+6sn+O6IvyRtda+SB7eSxsYLyKf8A4+N+V2/d2nHXvVLIPUZ/Gup8O2Hhey0SDUfFkW1bvd9lfc537WIbhOmOOtYB1vUm03+yzdfuf+eeweueuM9a7MXhaFOhTnKolzRuop8zTSXxJtcvNe638kdFajThSjNyWq0Sd2mrb7Wvv1KlFPmkEmMHOKaNmOa8iUIqfKnc42lcXC7tu39aveHNDOvXv2QXXk/7Xl7uxPqPSqckLsDNGvydjmnWd9d2TE2ku0t1+UH+ddOH9hRxUXiIOUL6paXXk9Pvua0nThVTqK8eq7oua9oa6NfNYG480pjMmzbnIB6ZPrWf5sm3bu4+lXtJ0fX/ABlrkWlaXbfab253eXHvRN21STySAPlU/lXr9t8CNC0/Qxq1x4Q/tK/T72j/ANoND5mWx/rQ+0YU7/fGO9ehDBf2h7ethnGnCmr2k2m1q0lo7uy6vXudMMMsU6tSk1CMdbN9NbJd3oeJNKzkFu1IHwScda3PFfga98H2GnzarPi6vPN8+02j9xsIx84YhtwYHjp0rECjJGK8fmqSV7nC22ByVzn8K2/BPgn/AITHxbZeFv7T+zfa/M/f+Tv2bI2f7u4Zztx171kWhhSVXn+7zk81t+J9Vk11Ibh5/Njtt287du3dgDsM9K9bLqGEnB1665uVxfJdrmje8tU7xTV9UnbV6WO3Bww6ftKy5lFp8u3Mr+8rrVadUmQePvCY8C+LLvws199r+y+XifyvL3bo1f7uTj72Ovasbb8u7NdX8OfGkHhGS+I1L7Otx5WP3Jfdt3exx979a5e5kV5mMZypxilmVDAKlHE4eSXPKf7vdwSk+Vc17y06tL5lY2nhOVVqDtzuXub8iv7q5r3lp1aXzFvdY1GTTprN7jMcu3euwc4OR2rsviF8KR8LvFvifwpJr39oS6D9i8q8+y+V5nnxq5+Tc2MB8dTnGeK424029uNLuL+GHMNts859w+Xc2BxnJ59KseHy1rdGzB2wz/65eu7aCR7jn0qsJP8AfRjiYOTlpGTb0TU4qye652pX6ODtq2VQq0lTcK1NylK3LJt6K01ZLZpzcZX6ODS3ZFcXsk8e24G9v+WbdNvrwOtQZI5z1q3crZwsjQDA53df60+/1ea8060057jdHa+Z5SbMbdxyecc5Nc1Wmm5yq1PeS0trfVbu6ezetntbbbjaT5nOWq289V+l++1vSsbPFr9p8z/gOPfFRb29alN5ObX7KZPk/u4Hrmu1+BPwL8VfHvxYPD2jy+RbRf8AH7f7Ub7PmORk+RnQvuMZXg8dTXJU9i7ezvsr+vXqZy5NLHtn7J37I95dXEXifxZabr9t3kW/mAfZeJkb5kl2vuXB5HFe1fFn9hTxRqepaF4x8EfET/hHb7QvtXlTf2Ql55nnBEPEk+BhQw6HO7tivpb4KfDO08NW0UHk4B3ZG488yf7R9a9D+IHgO3/spr+G2+Y4y28/3lH96ppVZ0akZwk4yi7pp6prVNPo13RVKrUo1I1KcnGUXdNOzTWzT6NdGflX4n/Y/wBY+GvhvT7rwdq32vWdO837Q3kLH9v8xwF4eVki2IzdM7setfPvi3W9R1rWJLi/n3sMY+UDHygdgPQV+lXxY8ESS3weSz3ovbzMY4T/AGq+cvjx+z74I8QSXeq/YvsesXnl/wDEy8yWTbs8sf6vzAp+Qbe3XPWvRWNqVMsWDpyk25Xcem3q79On5HQq83hPYRk9726beu/yPk+e3MkJy+M+3vXcfFD4r/Ef4kahpNz8WfE39vxad5/2SD7FDa7PMCBvmhVSclUPOfu+5rBhn8WfC/xUGR/sOqWPTiOXZvT/AIEpyr+/X1rS+J+peGvFPioSeDk80P8Afny6+bhEx8rgbcYYe9LDNSwlWEHrLkVuZ6u/8u0vntuiqGIrwwtWjTm1GfLeKk0pWd1eK0lZ6q+26MzwZrngXQZ71vGvwy/4SITeX9k/4nUtp9nwG3f6sHfuyvXpt96peD/D9x4j1i30GKXy5Jt+G2g4wrN6j09arXdrNZztbzptZcZGQe2e1dN4F8NeGtd0bWb3Xb/7Glp9n8q+8p5PJ3swPyKRuzgD2zmuWrOtNRoTSXI2tIxUtXrdpKUrdOZu2ysjGpWqzpQoySShe1oxT1evM0lKXlzN22VkVfHHg4fDzxle+F9Rk+2fYfL3Njy9++NXHQnGNw7npXX/AAr/AGaviD8YG0/VLHSf7O8P3Xm7dV8+Kbytu8f6oyK7ZkTb7Zz0rq/gb4I8KSyj4pWGj/ZftH/IMsftEkn2Tb5kMnzlv3m/k/Mvy5wPWvqL4aaRdalCGt+rdTx6v6n2rNVJqhypWXotX6728r202MuZ8lun9dTmPgH+xL8O/CS2N7e239oa1Z+bnWN80W/f5g/1QmKDCHb+Geteu/ED4D6R4ehs7aG33G98zPzsMbCp/vn19qq/DhvHt346g0Oxk3wTbvkxEN2ImbqeRz719P8Axv8ADeiaH4JTxlrQ8t9Pz9nuPmPl+ZJGjfKpOc5A5BxX1DwFfJsTQw1WSqKqrqMG3rJWjfRa81tr7ddj2auAq5fVpUpyVT2keZKDvrJWSastb2utfmfnb8VvgroM7QXvibR/tkUG/wAtPtDR7N2wHlH5ycflXyh8WvhVq/w1v0tpLj7XYXef7O1DYsf2jaEMn7vczJtZtvzdcZFfqNceCrT4l6VdXkU3mxSbPKm2lc4bB43Keq4r44/aV+Cd5PYTaPaaJ9r1SDb/AGQftIj2bjE0vV9pyv8Ae9OOa8HM1iI4uVKq37rtbtfp8tvkeXiVVhWcJ7rp28vlseSfH79oa4+P95obXngr+zE0f7Tkf2kJ/N80R+kabceX75z2xz51dGNZMQx7B6ZzSwBVmU/WluWTfkHnvW2MxmJzDnxOIknOTV3ZJ6JJbJdEtjpzHMsbm+Kni8XLmqStd2SvZJLRJLZLZEJBI3E1HdSP9mdc8HGfzrastKmu9PW+ng3RtnLbwO+OmayL1UFo5Uen86562CrUKUamykr9VdHHOjOmk31JIpmtnEkXDr0amwzPBKJYzyOlPtfs3nL9q+5zu6/0qewvP7Nvo7y0k2OmcNjOMjHf61FKDm4NzSSfzW2ttNfmr23FFXau7K/9aEE93LckGY5x09qYHVZN4Tj0zV+e9k1S9luruXzGO35tuO2O30qDUVtJtRc6cMwnGzr6DPXnrmtK9CWtSM+b3rK/xPfW2umnd7oqcNHJO+vz6+p6L+ytB4m/4WLHPpMW6wjz/aR3IMZhmEf3vm+9n7v41+hfw/8AjBpfhqMWtxpe8t94eewz949kPrXz3+x1+yzr0fg1Nbu9D+z311n7b/pKvu2yTqnSXA+X0Hfmuy+InhDXvBF60Rh8tVxs+ZTnhc9z/er2cqw+Aq4dqpiGn0htHdfaU077u3L8z0MHRwU8O3Oq1PpGy5Xqvtcyd93ble2/b6juv2kLgx/ZNPh+UdPmH17x/WtXwD8fNXGrAb8N6YX+63/TOvHvhV4XOoaXHNdDO/PP0Z/Q+1e3fCL4L2V/frdrDgDO59x44cDjfXz85UXFqMX/AF8zy3y20Psn4U+JX8WeFYbuQbSu73z87j0HpW6mrWE1ukt8dnm5+Xk9D7CvCvGHxXtfh5p8ei+G77bcQZ80eUT94qw+8pHRj3r8Kfgf/wAMQf8ACA6X/wALn/5Dv7/+0v8AkJf89ZPL/wBR8n3Nn3fx5zXVgMtnjZuDqQpaOV6kuVO1tFo7t3ul2TPUyjKXm2JdH29OjZX5qsuSO6Vk7PXW9uyZ+rf/AAUo/br/AGO/BXjvWvgP46+Lv2PxHpn2b+1NL/sDUJPK8yK1uI/3scBjbMbK3yscZwcHivnP9kv4w/DP4n+KdUPwv8W/bksvI+1D7BNFs3pNt/1yLnOx+men0r5B/Z+1bxT+yRafDn9oOL4if2fpHj7+1/tcX9kJL5H2EyWyc4kZtzzZ4RcZ53Dke6fsjfFO8+NH7TnxL+JWm67/AGlHqf8AY2+9+yiHzPLspoh8hVcY2EdBnGec5reVPEUMmUoV48kpJSp8y5+ZrmUlFXThy8t5Npqd4OOl30TwmGp8OrERxN6jqcsqNlouXmU01NtrZO8FaV1fTX65tv8Agt/+xx4V8JXXhLwX8Y/In+T7Lq//AAj2ott/eb2/dSWRB4LLyfevtr4aeDdY8JtNrmteO/7bzt8hP7LW28v76typOc5HUcbfevx41j/gll8ULP4byfCzR/2pvt2lLjy9I/4QiCLf++Ex/etc7hh8t97tjpxX234f8WfGDUIZ9N+IC+baNt8tM265wSTzGM9Qv+c12KNGWXfupwjG0ea6iqkpO11H35yaWln+7Tu/dWpjUhh3g17GaSsua6Sk5aXUfem2lpZ+5e791anvnx/+MSeG5r60sfDP74eV50/23/Wf6sj5ShAwDjjrXyP8RviN4km1S6u5LvKNszF5af3VHXb+Nep6R4L0i88Sa3qEWgbG1P7N5sn2pj5nloQOM8Y/DPvXK/FH4T6lc6Q0l7H517LjzY8hejJjkPj7tddOhhMNUpVaE7pqPM3urpNu12lazW66bdFyYejOEqUrppXva+qTel3s7q91022XgeqfE/XfixcW/wDwk+t/Z107f5TfZlfPmAZ4RV/uD1615f8AEr9sH4f/AA3nm+Gl38TfLns9v2i2/sWU7d4WVfmETA5DZ4b/AAr13xd4O0/wrot1cT2n2YPs58wvnDKPU+v618pfFnRPij8HbDxZ8ffhj8VPsMWofYPtum/2HBL5nllLZP3kpbGC7twoznB7GvWzDO6mLxXssLTSwcLtRcISimouUt3G7u27c9+yex7uIzWnjcWqNOPJg43ajyQnZqLk95Qu223ZzvrpfSL8W+N3jPwD4xkuL7RNb+2XB2eQfs0seP8AVhvvADop6+lYHjzX/AOvzWUngP4Vf8IyIPM+1n+3Jb37Ru27P9YBs24bp1389BX1B+0x8aPiJ+3D8R/iVceBfjN9t8CQ/wBjbIv+Edhj+05hiB5kSKZNs8DfXH93r8l6rpN9o1ybPULfy5B1XeD2B7E9iK+G560cJzKMV7RRcklGXI7v3Yyd5xSeib5JTjZyjZo8nN6WGy3E1sLg6qq027OXJDeM5L3Jc1SUYu10+aLnFq6as3XALHJNTWNmL25WASbN2ecZxgZqMFVUHuetNCk8gVzR5Iyi5K/Vrv5HhKykr6k1/rV/Np01pJNlJdu4bRzg5Hauw1KPxd4u1+/1HxD4u+0XOreV9um+wRp5nlIAnC4AwFA4xnHOa4a4OLSQZ64/nUmZJZM5yxr1MHmjoq1dSqXtpzyjtzJrTe6k15KUl1d+7D42VKLjO8k7aczS05l08pSXkm+7NCHWrZtJvNPu9N82afy/IuPOK+TtbLfKBhsjjnpVOG4ngysMm0fQGi3Fr5Uhn+9xs6/j0pq+Vvbb04xXNKtXqqnKU1dKyto7Xb1slfW+rbdrLayXPKpUmo3eyt2e7ett9+vSy2SGo5jcOo6V+w/7DXw4m+DPwR0X4cDVP7QNn9pzd+R5W/fc3Ev3dzYxvx17Z9q/Kj4K+K/C3hH4o6Xr3izU/sljD5/nz+S8m3MEij5UBJ+ZgOB3r9cfgF8SPBnxO+GGneMPBGp/btIv/O+xXnkSReZsnkR/kkVWGHRhyBnGRxWHLy1FFO/oZWs7H0Xp8fjPUrGyTwj44/sQw+Z9o/4lkdz52Sdv3/u4w3Tru9q3PHsmmaj4Wm8PeMYf7TaTb59xuaHzMOrL8qdMYUcHt718h/tKfFjW/wBnj4a+Mfjtq3g/+3NL0P8As/8As3Tv7QW287zporeT94qOy4aQN8ynO3AwDkfPP7JP/BKGy+I/wL8P+LPiF8BPtmrXn2v7Zcf8JSY9+y6mRPliulUYRVHAHTnnNenivY5bShOriqdOKs+eTjTSlJc0Y+03c9Je63dckraRPsOH+Fc04jxX1fBTinCKm5O6Svayc4xk+bV6PbllbY+8vCeq2+geNxDoTbXm6SYJxiI9mB9TX17o89zPahbiXLr959o5yT2FfiB/wT08U/HP4T/FD4efsseMfhT9gfWv7W/szVP7dtZd3kwXN5J+7QNj76r8zjrkZ6V6d4n/AOCv/wAVfG3xf8T2n7L/AMPv+E48OWH2Lyda/taDTPM324J/c3doJBiRZU5z/q89GFdX9k1MbiFCpW/etL3XCo581k3HlUXLRdbcul7nlvJcdVx31Wd/bWXuOFTnvZSty8rlpHW9rWV07WPVf2wJ/i14C+L83jLwlqHnRHbx5UC/8u8Kfx5PVm7V3n7On/BTXQ2iXSPiHa7blM/P5jHOfNbpFbY6bf8AOar/AAM+L9r+2d+zXoXx8uvA/wDYa+I/tW3SP7TNz9n+z3klt/rQkW/d5G77oxuxzjJ+Nv2yfhvceB7z/hIbAbN3U8HtAvdj/ePavBhFyi5c2nVHh2uj9K9b/bz8G2Wq6v5Fp5drp/2fy7rzJD9o8xRn5fIym08d814P8Y/2/bn4naxLonw10rdcTbd0vngZwqMOJYFHRGHX+lfA2u/F7xJN8K7SxF18s3mb/kTtOCP4K+hv2JvBAbSovElwvyPu8x8+jToOA39K9KqsNUo81C0GklvrJ8uv3tXtrukdNT2U43guWyS33dtX82r26XsfR37D8HivSfHqeIvFuseez53D7PGu7EU6j7nTqO1fZnijQfEV43n6X4q+yIOkf2FJPTuT9fzr5C8B+NXk8aaPpfg/XMNdfaPNi+zfe2xsRy68fxV6V8Xfj14e8MtYQ/FrxV9nkm837Gv2F3zjZv8A9Sh9U6+vHeu2lkuPr4mHJGzkm1HlvLS6+G3k/kdNLLcZXrRjTg3KS0ik29L9LeTPgf8A4JTeKNP+EvwX8BfF2y0L7TqOn/2pt/0opu8y5u4T1DKPlf8Aunp+NdTb/EnSfif/AMFGv2dorLwb/Zq2n/CXeYv9otN5u7SOOSq7cbPxz7V4R+w//wAFC/hx8F/2efDHwe8cfF7+zbfTftv2rTv7Amm8vzLuedf3kduxOS6twxxnHbFN+FFv+zP+w7+3D8Ifi74i/wCKW8Nxf2//AG7qP+m323OmPDB+7XzZD+8nC/Iv8eTwMjCeWU8VhKuZ1qcJVqdOjCNSNapJxpqUuSLhyqF05T9135Oa6k2ftmfZlRxHhfClg505qNKgqtprmg06fKuVKWrkmnzShaztzO6P1X8UsLKyWztvkjOfl69we9fNf7WWj3GveBLyA3XD+XxsHGJYT6j0r3X42eFdF1+9V7+DzxBnyjuZdu4R56EZ6Cvx08B/steAfib+xVaeKfA/gX7d8Rb7zPss/wDacsW/ZqTI3yySrAMW6MOQOn96uLB4KrjJN0LynFOck1fRNbb3vfql8z8byXIsZn1WrDCWc6cJVGmneSi17sUlJyk7qyaV9rniPxN8H23g/XPsto2I5PuxYPyYVD1JOc7s1D4A8QfD7w9NfN49+FH/AAk4n8r7H/xPZbL7Nt3b/wDVg792V69NnHU10nxR1DQfFugW/wATZND+w3niDf8AZoftLS48h0ibngdFzyo69+tefBGY4A6VgvbYHEpqKbsmrxUlaSuvdkmndO6uvNdGebRq18BiFUUVzLVKUYyVmtPdmmno7q67NdGPs5LSOyWCWwzIM5k80+uen0qvdf8AHu34fzqV43R/LYYI7VpeJ/Ih04xw8b+o55wRVU6EsRQnOTS9muyV/wAtdOupmoOcHJ6coeJdT8PalqU1zoHhj+zbd9vk23215vLwAD8zDJyQTz0z7VnKzQuHU8ipVa0e63Sn5O/X0pyrJeSLbWo3Fs5Xpnv3p1ObEVXUuuZvRRSXXoopLrpZfkOpKVao5u129kkvuSSS8kl6FqW3lutNtZp7jcp37E2Y2/Nzz3rMyc5zV6PQdTdmWO15XGfnX/Gpj4afTvEH9ieLLv8As0J/x8TeX53l5TcvCHnOQODxn2rTGUcTKmqsqUopWTbvZu3drfR6evYdWnWcOdwaSsr6727/ACenl5H2F/wTd+Adxa6lc+JNenzNdbNtrtH7nat0n3lkw2Rg9OK/SvwT4C06xeS8hjyZ8eYcnjbuA/ir5N/ZT+G0Xw/0CHT9N0jyoE3YX7Ruxl5j1LE9WNfTHg/xXNAwUzbAfuDbn+9ntXNOq6U5KjJ8r/4Hm/zMnLlbUXofQXhG5kmxCwwe7f8AfVelaIvlWAc87en5mvmrwh4o8RPrIkgn/cn7p2p/db2z1r6H8I6s1/o7mE/OmMH6s3tWNSm6bV3uS1Y5j4kaR4n1DWzcxeLvKtm/497T7AjeT8qhvmzlskZ56dK8r/bn+Dz/ALUn7I3in9mN/FH9hLrv2HOt/YvtXkeTf293/qd8e7d5Wz74xuzzjB981zxZb+HfKOr6h5PnbvL/AHRbOMZ+6D6ivPfiCvxG8Rx3cDzbtDm8vLbYRnG36P8AfH+RXq0lPFUFTmkklo3pd7aWWr+ep0LmqwSdlb5fpqz4c+Ih/wCCnHifwteeFfFH/BSj7fYXXl/aLX/hTmixeZtdXX5kwwwwB4PavA9N8Lftiav4rudCb9svY8ezdP8A8K7087sxlumRjpjrX6JfFn4Xw+E/Bt5rs8nlxweXvkwTt3SIo4DHPX0r8bIPFfwL+LPjjXPj5+094T/smx8W/Zf+EWh+33U+77LF9muebQKR8yRH94q9flzgmuLhjIMBgKMqGX0adCnJttx/dQTXLeUuSNtfdhd7txXY+oybM+KMwr+xhj5007tznWqRhG1tZSTaV21FX3lKK6o+lvF//BPP4/8AxekuvAHjr9sf7XZX+z7UP+Fe2se/ZtkX/V3CkYZF6EdPwr9avCmv6voejWqSXnnxnzP3flqv8R74Pc1+X/8AwR1+GngPSvj18afhhpdl9mA/4Rz+ybDzJX3f6Leyy/OW46lvmbvgelfov+0T8Qfib4MvvDenfDbWPs0V39s+3J9nhfftERTmVSRgs3T157V71fBY3EZmsHXlzTjzQvKUnG1NyTcZNN8ralZJJX+dvOzKlmmJzeWGxtVzqQcoOU5Skvccr2lLW107aLXzueo2N3qeq2aalHfeUsudsXlK23Bx179M1+Mnw8/a6/4KWfGn4GWXxb1P9uP7Mmo+Zu0z/hWejPs8u6aH/WCJc58sN90dce9foDqPxb+P9tKLvXvEG2Of/j2b7JandtwG+6nHbrXDePv+CN3/AAS+8PoJdP8A2atqnv8A8JlrZx931uz6ms6uBo5HiadXGU41oSv7sZOOzX2kr7afe+heDWX5PifaZhh1iISi0oqpKFpXXvc0Vd2V1bbXyKf/AATv+LXj79oP9jXwX8WfjN4s/tjXNY/tH+1Ln7BFb+d5Wo3MMfywIiLhI0HyqM7eckkntPGUemJBJa28GwJj+Jj1KnvVHwF4F+G/wK+HFj8JPg7oH9l+H9J837Dp32qafyvNmaZ/3k7O7ZkkduWOM4GAAK5rxP4vurdvssibQe2QfQ+leBzValorc+e1bPiP/goF8Pm8S/aljvcFtm2Tyvu4+zZ43DOcV8IoWuJAjt69q+lf2bf2Y/hR4++DOi+N/Fvgj7XcXf2n7Rdf2lPHv23Esa/KkgAwFUcDtWf+3/8ABH4FfCG68HJ8EfDH9nHUf7Q/tMfbbqbzPLFv5f8Ax8O2Mb5Pu4znntX0WY8PZjgsuoY6XLKnOMX7l9L8tlP3UlL3l1evU+1xnA2b4Th1ZzUnT9lywlZOXM1NxS05Er+8r6/NnzzKpikKA9KJJ5rhy0r5J6nFNYPGxVhg96sCK1+w7iv736n1/wAK+fpxnUlKKdkrtpvt09T4tJyujo/if4Z0LSNMin0iw8gndv8A3rNu+ZAPvE46muUddrbc0moLELZjGPT+YqfUUt0vnWyGIxjb19BnrXdm1ejjcRKvSpRpr3Vyx9HqrJLprpv6nTja1PE13VhBQWmi9PJLt2IllZQVzwetXk09JbGC4V9rPu3cZ6HFVbjynwIuTzUeZI+OlctOaoTl7Rcytb01T/4HzOeLUW7q5JJZ+WhfzM49q1/C0nh+Izrrfh77du2+UftbxeX1z93rnj6YrDyy8ZprTRw8u2CenFXhcZSwuIVSNNO3R2a69JJp/NF0K/sKqmop26NJr7mmvwO38FfCu9+LXjuTRfC1l9gsxjzX8wS/Z/3TMOHZS+4oeh4zX6kfsgfsw6H8OPCsVjpuk4jh3bYvPbu8x6mVu7E18ef8E1tb+DNx4n0zwYmu7fFus+dvsvstwfO8lLpx8+PKXEXPUZ6cmv1R8ASW1hou61fZMPunBP8AE3rx0qJR+tYiVSMVZu9lpa78lZL0+4mb9rVc7bvpotfJaL5Gb4h+DXhrV9ClsNQsfMi+XC+a4/iB7OD1ArkfBt3ZfD/XtQ8HaXpeLfT/ACvL/fnnzFZz1yerHua9H0KPXr77Q2vPvA2eVwg9c/d/CuF8YeHtL0Pxi2taZB5V5qeP7Qm3M3m+XGqx8EkLgEjgDPevVwzlzTy+tNyi1eKTbjzaO+6+ymr2euluq7KLfLLDTk2t0k9ObTXf+W6vZ9vNfTHhO3t9M8Gz+IDaZlj24XzDzmQr/I+lfEf/AAV1/aB+PejfFb4XfCn4NfFL/hFYPFf9t/2xcf2Ja33mfZYLOaL5Z4yRglx8rLnfznAFfoGtzoPhXwMda1iXybKH/Wy7XbGZdo4XJ6kDpX54f8FGPhT4D/amm0m68QeGf7bm0Dz/ALE/22W28nz/ALMH4Vow2RCOucbeMZ5yyfBxxlenGUVy8yu5ScY2Vm05JPlutL7q6KyqjTrY6kqsU4cy5uaTjFq6unJJ8t1pdaq9zz/4N/8ABF/9nnxL+zJ4E8a+I7/7Xrmqf2p/aupeVdx/afKvXji/dreBE2oAvygZxk5Ne3f8EWb5v+HfngqxiTZIf7S2TZzj/ia3xPH6V8MfDH4TftGaFpGnfBTRf2nv7K0jQ/O/su1/4Qqzn8rzmeeT5mcs2XJPzMcZwMAYr9CP+CavwduP2cPAXh34O3Wt/wBtWuj/AGvdqX2YW3nebLdT/wCrDuVwZdv3jnbnjOB59HB4rA4irHFVlJKdSUIKNO1OMqjlCmqsJN1uWDjDmnty6bs+n4tzPh7HUsLRy7CqjOkpKduRqTahZKcW/actmuaWrvd6tn078TfDVtPp8suo3Hmo23cuwr3T0P0r5K+N+hCTVbeDRNR+xou/ePJ8zd8sePvHjv8AnX2L8ZdO1CHwNdT2Y8uZdmxuDjMqZ68dK+RdZ+Lfg3wprT6V488T/ZZ1xhfsUj9VB/5ZoR0K/nXoZPTzD6x7XCQ52r+6ld7Wvaz79j5TAU8XOvfDwc5LolzP7rP8jT+F/gRPBnwjtFmuftrWnmYk2eXv3XD9txxjd+leM/tTeBNP169sNEk0vEuoebsn88/u/LELHjcM5Ax1GK6bQ/8AgrT/AME87OyW1uf2iMAZyP8AhEdW45J7WtP0j9u/9ij9onxfY/DD4VfF/wDtbX9R837BZf8ACP6lB5nlxmV/nmgRBiOJzywzjA5IB5lmMJ4yeJrR5pycpXTtaUr2atb4ZPm89tiPrfPipV6qvKTk9Hb3nez07Sd7bO1tj8tP2lfhjqHhfX21L7J0x9sl8wcfJEE43H1xx+NecjRgNG/tU3Gf+mez/ax1zX3T+2t4Q0bwba3HjHVLryrKDZ5s2xmxuMCDgEn7zAdK+F9eTQr3X54fCPz2vy+R94fwDP3+eu7rWcK9OdWUpxc5ST3f2naz63fkYqalJuS5m/z7+ZDcw28QGyLr1+Y1bsdHkntEuYbzyw+fk8vOMHHXNZWGHGOtbkkMmt+HNNsNNXzZbPzvtCZ27N75Xk4ByAeldeB9liatRqndqN1FNpt80VZW12bfXRPTqbYaMaspO12lou7ul08m38isj6ho13/bVpfYnj+6/lDuNvQ5HQ+lZV3czm0kiL/K2NwwOeatS6pqE1ubOSfMZ6rtHrn0qvf4a0cjtj+dcterCqmqEpKOrs2938XV7pK769TKpUUlaDdt7eb36+SJQipH5oHIrT8D6TD4m8TW2h3rfJPvy2DxtRm7EenrWabN7i48uyjyD90Z9uetS28tgNMu0nb9+3l/Zxg/3vm9unrWmFao4qMqkVyRd2npGfLq1e32lotHui8O4068ZTV4p3aeilbVq/nt8zU8c2SeFtel8P6ccJb7fn/vblVuhzjqe9c+SScml2kgECj5dvvXNjsT9bxMqkY8sW7xjfSK6JaLZabEYmqq1aU4x5Ytuy7LovkSxqwBnV8FPb1rrPhf8UP+FdDUribTPtIuvJ3HztmzbvH91s53fpXOaXby/b44btPkfORnrgH0q54ihtLXTRaWr+V9q/1/BbdtIK9en4V7WWSxeAf9oYeXI6d911a5dnprzJel3ud2X1sVgaixdCXLKF7erVtnp1sYJurbqJfw2mr2m2T3d6litxsEuctszjAJru/F37QHxx+IHgK48BeJPib9u0y72edp39i20W/ZKsg/eLGGGGUNwe2OnFcn4W8MXHiFLn7JY+c0Oz/lqFxnPqR6Vy08tcsfCnQTmnqrqzaV217kp7pd7q/zZVweGeLhTwblUTV/eiou+raSjOp063T12W7/AEI/4JD/ALKvw2+IHwMuvHWqWm2/1HZ9rk8yY7/LuryNeBKFGFUdAPeug/4KmeMvgXoP7Nnjr4S+CP2fP7Kv4v7M+y69/wAJZdT+Vm8tJm/cSAq2VLJy3Gd3bFfBnw8+AMGu327XdI2RL92L7QT5vDd1kG3BAPvXoerfsa+FdS0KWDSLH+z7iTb5Ooea8vl4YZ+RpsHIBXn1zTq5XmM8waxtabpKny0qMa1WjCFRRguaUYOMarm05OnUi4ycpXvdt/pS48WH4Y/sOOCUH7J03L2lrtx5W3H2a1k25Wb1d9ep5po2neCPiUIPCFp4q83Vpt32af7DKvTLtwdq/cXHJ/WuS1fwDrui6veeFfEsX2K9s/L86Hcsm3eoccoxB+Ug8HvX0N8QtE174b+NPC/jT9pD46/aFtvtv9jW3/CMKnmbo1jm+a1LYxuiPzDnHHevLfEV5p3xg+NepjwHJ/aJ1HyfsXBh8zy7Yb/9ZtxjY3XGccdaucIV83Ua1T2kWt24ptW68kpLR6fE3a22x+aYiFGWYcqqOce8rRb068sppWenxPS22yoeDvEfxk1bx9f/ABv8M+LM+K9M8ryrr7Bb/vPMia3PyuPLGIgR9059jzX1N4D1TwR/wUO8Wy+APit8If7EvfDO37Hc/wDCQS3Pl/aI2kf5YRCDlbZByWxu4xgg8T440nU/g7o/hH4ceF/An9uX2vfb/ssP9qLbbPIZZW5csDlXJ5I+73zivLtBX4JfGjUoJrvTfJ8R6lu8zT/OuWx5YOP3g2x/6tN3b060/rOJy+tWnNqrFzqLX3oykl8d5RkpWlKM2r+8kuZWaZ9FlHEmYZFWqLEr6xhqk5e0hLWFWUevNKMtbuMm17ztHm+ybn7df7JPhz9lbxpo0nh7xZ5mmeIvtHl2f2Bx9i+zx2+fnaWRpN7TE9tvTkdPHvC8vgNtagtfEmobLP5vOu/KlOPlJHyrz1wOPrXqtn49/aE/Zx8BTaX4H+Lf2awsNvl2X9g2j53y5PzyK7felY9+uPp6l+3Z8Xvh/P4S8U/DLX/EOfGh+w+bY/ZJf+elvKPnVPK/1ODw3t14ruy+hg6tOpjKlSCcI8/LOEUpz1fJGKmoqLlGS0SaVrRs7L05YDhzOY4rOMJJYeNNRl7GpFODk4yfs4T9qm1KVOVlyRaTtGNlY+SdT00afsxLu35/hxjGPf3qCG4lgz5bYz14pC7Mp3GkQgZya+Xq1Ie356S5V08j85lJc146Fgag0+pfb76PzifvrnbnjA6U7Ur6yuyhstN+z7c7v3xfdnHr0/8Ar0zTooZblFmXKnOefY1AdmOK2lXxCwzu01NtvRN3Vnu1dfJ9ynUn7N36vyv067/ibvgnwUfGX2nOqfZ/s2z/AJYb927d/tDH3f1rEmjEMpjJzjvU9tc6npUK3Fu/lpcZ2nCndtOO/TrTZbR7clLmPDD7wz/hW9VYergqcIUmqkbucm3Zp6x02Wnkr76m1R0ZYeEYwamr8zu9b6rTpZfeP07TDfb8XGzbj+DOc596Khgvbm2z5Eu3d1+UGijD1ssjRSq025d03/mRTnhlBKUbv+vMfFYXc0IeOLIPQ7h61estP1Pw/fxXl9ZYHzYHmLzxjtn1rY+Ivg6HwrFeaDbzee0Hl7ZNu3du2t0JOOvrTvFnin4Sat4VvbDwv+z7/Y+oSeX9n1X/AISu4uPs+HBb9042vuUFeem7PavUr5XDK60lWlarTSaV27tN3S5aclpy/alFarVq9vTeXRwk6ka9RQqU9UnzO7V7pcsJK91b3pRWq1te3Pa3ffb75pvK2dON2ew/wpuk2MV/exwXl19nhfO6fZv24BP3RyeRj8ahkVpVWffjdnjHpToLtkQCJdrDo2c15vPGrjPa1tU3f1+61rrzR5impV+eeut/X7v+AVwFKklsEdBjrU8ly0lnDB5WBHuw27rk5qKFA74bpWp4Uvl03xLbTnXv7LWPf/p32Xz/AC8oR9z+LOce2c9q4ablClKV7X09dU/0/AyTai/P/hzofAHgbxE3iu6kTVv7Kv8ATNnPkJPjzI2/2tv3fr17Yr2/wpoVjouiQ6Lolt5Nrb7vLi3lsbmLHliT1JPWud8BQaYtofDdppH9mXemf8ful/aGm+z+YWdP3h4fcPm4JxnBxivZfCfh+K5dINmQc7hn6+9VTjCpedR6X1tv8ugRSesj5y+JXwc8PaRo07+GNBxcnb5B+1P/AHl3ffcjoT1ryPaNm7d+GK+2fi54Ls4h/Z8YyV+8Of8AYPrXyn8Y/B+v+F/E7XWq2myC9x9lk8xD5mxEDcAkjBI64zWElBSbW2tiXa+hiaZpeovpV9qMFrvhtvK8994GzcxC8E5OT6VSdkeVjK2zpxjNa+ieJ4NM8OatoNxpfntqXkbJ/PK+T5blj8oHzZzjqMVQtdOTUppHV/LC4wMZ/wA9K9qpRpVKNCGGfM2ndPo+afWy+zZ7vf5LtqU6UqVJUndtPmXZ80tNl9mz3e/yUct7ttDYeV/wPd756VX2shGV/WnF41uN8sW9e67sZ4qSW3ZULmXOOny1501Os29+XReSX9evc5HeXyPqT4ReA5/Dfhq20Nbzzvs+/dN5YXdud26bjjrjrWv4lsJreFjGvJxu5HqMV1vwUn8P+LPCya/4e1D7Rb3GfLfynTO15FPDYPUHt2qt4sW1jlaNORxxzz0rKDlGpePTUlaM8J1/w9ZatcZ1G13qv3T5hGOB6H2FeRTnSdq3i6rmWbPmweQ37rHA+bo2Rz7V9LalpFnkySLjHbJ9vevC/i7FdXusTNb3/wBog0/b5sHlBPsu9Ux8x5fcee+MVrDG1o04xdmovS/z7erNFWlypdjmdefTxeyxadffaIvl2S+UU3cDPB6c5H4VseOfiMPGdrFbjSPs3lbuftG/OSp/uj+7+tc+bQG2+07/AMMe+Kr111Mzx9GFWnBqMKyXMkrppNtau7VrvrfudH13E06dSnB8salrpeTbW92rX7+ovlvtDY4PSkBwc1tX+j29v4W0jU0+/d/aPM6/wvgd6x4YvOlEe7Ge+K48Rg6mHqQg95KLX/b0VJfmYVqE6M1GXVJ/+BJNfgy9NrUEPh3UNMC7muvKw2SNu18+nNXPF3iuLxDe3FxFa7Fm2Y+fOMBR6D0rD1G38m3J35z7e4pXxuO0YHpXXVzPHxoyoSaSaStboudr/wBLl967GssZiPZOk3ppp6c3/wAk/vAKT0p6sCoRuNtMVipq19psDaxRjTsSru82Xzj+85447YHFcNBKTfvJadb669LJ+vTZ/PnglrrYhMEb3HlxTbkPR9uO3pX6E/8ABJr4AnSvh5cfFuTWftX/AAk+zbYfZ9n2T7NNeQ/f8z95uzu+6uMY5618G+B/CWv/ABD8RWvgrwXof2rVbzf9mi+1Im7YjSNzIQowqt1Pb1r9w/hppGneHtG/drwe2Tx8z+59adSNKyad2+17emvb+mwkl0Og8NaVA919ku4PJVP9W+4tvyCTwDxiva9Q+F41nw0ojTKnPOf9sf7Q9K83g0+e8lsryw1D7P5nmb18oP04HX8fzr2L4Z/EG41bwPY3mrLl5vN3yZHOJXA4VR6Ctp4NvCKvF9bNdt/8n1LdJ+y516fn/kfKvxH+DJS6kENvnpkb+nC/7dfNXxu+DF7dx+dbx7XT7y5Bzny/V65v/goR+3h+2R4M/aM+L1r8Ifjv/YHhnwR/YH9m6B/wi+nXW/7ZZ2xk/fzQGQYkZ3+bd97aMACvqnxVNp3iiwXUYbLa02fl8wnGCB149KmeHxWD5a1rJq6ej6yj+cZL5X6o0q4bEYaFOrNWU1eO2q5pRv8A+BRkte19mj8r/wBpj4IW2m6Hc/ESJvIubXZ9tXBf7TuaKJP48JtB7Dnv614Xc2U9oo85cbunIr9Df2qtM+H9noN7F8RYd2iv5f21N0ozh4dnMR3/AH9vT8eM18LfEHwPceFHskuNc+1/afMx/owj2bdvoxznP6Vthcvr4nA1sRGDahypu6suZ21Td3fyT8x0cJWrYapXjG8YWu7rS7svN/L5nK4PWt/whpWoeK9St/C2hW3n3lxv8qPeF3bQznliAOAe9QL4K1u68NXPiuwt/NsrDZ9vl3qvk732JwWy2Wz0Bx3pngzTPDureI7ax8V+KP7F0+Tf9o1L7C9z5OEYr+7Q7mywC8dN2e1ZUXWwNezXRX9HZ9H2MYudGev9Lc+5PC3gGXX7yKOFM43YGevB/wBoelfSfwy+DFxHDHFDa/KucHeOfv8A+3XnPwfkgm1eO0EG5Jc4bcRjCuelfR/gbxmmiMqy2uVXOfn6fe9j61yunUjZ23V/xaM2mrHc/s//ALPUvhrSbTTr6XzHg8zc+3GdzSHoJD616B8dfhxb6h8P7jT5bnyA+zD7C2MSxnpu56UzwD8WLC8AhEe3b1GSf73+xXc6rqWh+MtDkguotwXHy7mH8Q7gD+7WyxFWeL+sTevNzNq2977bbmjqzlW9o3re/wCp8e+DvDcWnarrmiwS+cbX7N+927d25WboTx19a8U/ap+FTSaWdatlxKnUZ65aFe7Y6e1fVPiax0vwPrt/fWVvh9R8rzfnbjy1AHXP972ryz4j3tr448Oi5a38vzv4N5OMOo68f3a6Mxk8TWeJh8L5Vd2vflSenqmXiJKrN1I7affbX8Uz8VprWe3wZkxnpyK2vBHw58ffEn7VB4H8N/bv7P2faj9sii2eZu2/6xlzna3TPSu5/a48Cv4Q+Ihvjf8AmLqH3bfyseT5cMI+9uO7O7PbFcJ4I+JXj74avdyeB/EX2H7f5f2ofZIpd+zdt/1itjG5umOtGBeVrHr61z+w15uTl59tLc3u/Fa/lc3y/wDsz67H67z+x15uTl59na3Np8Vr36X6mFFIJlEhGM027wLdgDnOP51teL/B48F61ceH/wC0PtP2bZ++8rZu3KrdMnH3sde1ZNxbhrGabd9zbxjrk1hiMHicLXnQqxtON767WvfZ26M5q1Crh60qNRWlFtNea38i5pss+jX6ahJb7xHnK7wM5BHv61UlYtjK4/Gpmu2mbMgyh6pn+tTa1Lpsnlf2fpn2bG7f++L7umOvTv8AnW84xlhZKE/di7pPdt2TastrJbtFfFSaUtF06u/y8luxuk6t/Zfmf6Pv34/jxjGfb3rrf2f9Isdf+KFjb3N75cp83ybfyyfN/cSE/MCAuAM89a4avbP2U/HvwN+HSXep+P8A4h/Zri98vNt/ZNy/k7POH3o1YNkMp7Yz9arLq3tcTRhXlalCSb1SaXMnK1935ammEnCVenGs/ci1e1r2vra/W2x+k/7Il5pF9Y3ulGy+zmLy9reYz7smY9O3/wBevPP2vxDY+IIrdDvV93qMYSE16Z8LLHTfhVPLqFtYfafM274/NZM4Dgcnd/f/AEqr+1J4P07xr4atPGi6H5ckvmeWn2knZh4ozzkZzt9K9yrLJKWcrHezk8LtZPW/LbrJPfXf/I9KUspWZe35JfV9rLe/L5vvrv8A5Hn3wz+Iel6aY9H1q3+zRc+Zc72fb99h8qrzkkD8a+ufihpWpeB/gbqV3a6T9pdPJzH56puzcoOpJx979K/Lv45eA/ButfGX4W6L4/8ADn9raTf/ANt/bNN+2SQebst42T95GwZcOFbgjOMHgmve/Af7MX7YHwy/ZsufhF4I/by+xeD/AA5s+x6D/wAKu0+TP2i8aZ/38kjS/wCudn5Y9dowOKyxcsDhK2FxNOi1T54RfvX5pv2TaUXZx1qKN+az0d1Zs+gyrhPMc7pUsZlmH54QklNc6WqjCT0k42T5mlaTvbXl0cvDfhDr/wC0z8Wvh5YfF7V/2vf7Judf83zrT/hALKfb5Ezwj51Cg8IDwo645xmvrP8AYE8dfFP4z/sn+FviJ40m/tfVtS+3fabzbBb+b5d/cRL8kaqq4RFHAGduepzXy3+zL+yP8X/GPi/xt+z/AKF+1b/YOm/DT+zfsUv/AAgtvdfa/wC0Y5bl+GlDR7WUjl33buNoGK+2f+CbXhJPhz+zX4O+DJu/t5sP7Q/4mPl+V5m+8up/9XlsY3bfvHOM+1bZlGGKy6lVpQqSlSXLVc53jzW05Pfbt7k+iVkvI5uI4YOeEpQoUJxq4f8Ad13OXMnUSS9395LS9Op8KirW8ra8Phq/0qaVrpcxttycjj8j71893F/e6N8Z9Qs9O0j7YV8rKfaBH/y756nPqfyr60+J9zPY31lo1ha7H1DzMS7wfL8sI3Q9c8jtXyRojSXf7UOuaPqI85R9m/2f+XIt2/CvIwVKccVGrWgpJp6X33XRrqu627HytCPJVjOceZPp33XRp/ie+6H4RvLjU/7V+08f3Ng/ukdc1rfEDTo9D0N9R1S78qFMb38vdnLKBwMnqRWp8CtO1bxB8ObXVNYvvNkl3+a/lKucTSAcLj0FbvxJ8OweJtOPhm4l8gXH/LXaW27Sr9ARnOPWo9n7DMo08RLSErNrok9baevT5ByKli1Cq9Iuza7J620/Q850T42aZ4N0zT2sbL7bFN5u1/MaPOGPYoe7fpXsulXlj8bvgBFqEDfZ/tu7YmC+3ZdkHn5c58v261wGq/s9eDtZ8EWdrYyede2fmfvMSLnfKD0MgH3RVr9mvxZNpngrTPAK2eI087EnmDvJLJ0x7+v+FepiFltfL5zwal7SE78z6x993t8l0R2VVgp4WToJ88ZbvrH3vx26I+afj5ut9MubATYiOznb0+aM/wA60v2SPCyahIEjl3sPvHbj/nt7+1WP2j7W0nvZLO0h+eXHG49hEe9dh+zLoUvhDQ/7Q+z7zL1O/GcNKPU/3q8WOMxdXDvCqXuN8yVl8W1299vM4PrFZ0PYX9297ab7X77Gb+0N8NBqF3dXCyfe2fu8egjHXd7V+VX7RHgWTwf8QZXlmwl1t2rt+5tii/2jnO6v1++I1+NTDRFNoOMc5z93/CviX9rn4bCF/wDhI7aL5l+/83r5Kjq39KznUrVpQVT7Oi/Qzcpzav00PiWXUVW3itEj3CLd8+cZyc9KueDPCN14z8Q22hwzeT9p34l2hsbUZumR/dx1rLKosjK67unfFamka1q/hPXo73RL7yZrfPlP5StjcpB4YEdCa7cM6VXF0541OVKMopqO9r2t06Jre/mdOHlReJhLEpuCaulva+qW3Rd/mZmuRWcVuPsl952fvfuiuOR61PAbmKQaiLbKD/bH0qpqcPl25O7P4e4rU03UbF7NNNn0vexzmXzyM8k9B+VRh1GpjZKbVN6NWu1dWt0k/vM6aUqru+Xtvv07mn4A03wHqtxqT+MPjF/wjBtvJ+wL/wAI9Le/a9wbf9w/u9mF6/e38dKyPFcek23ii8tfD/iz+3bJPL8jVPsDWvnZQFv3bcrhsrz12571Ws3RLeYPHuzt7471DIw8wlF2j0zmpq4nnwMKbit27pzv9pWs5OFvNRT8977VcVTngYUVSimndyTnzPfRpzcLa9IJ6LXe/oH7O/jjQfhb8b/DPjHxrdfY9PsPtv2ifY8m3fbSovyxqzH5nUcA9a948K+LfFH7Pn7PPiXxv+x3+3t/b9h4N+x/2hpH/CrUtdn2u7Mcf72+DsctJO3Ab7uDjK49o/4Jo/BjVvDel3Gu694n+3wS7PsFv9iWL7JhrpX+ZXJk3Eg8jjHFdp8Tv+CUmq/FXxd41m8D/tLf8Id4Z8ef2b/avhv/AIQ1dRz9ijTyv9Ikulk/1qNJ8u37+07gKWIxdN0PZU5ySTelrcyaimpO/wBlwg4pR1bbb0Sfr4HOMBTy2eCxVLnj+8cX7ylGU6aSd1UjFpTp0m1KEtOZ7pJ/R/xEvP2bvjb8FH8D/Fy0/trwz4jx9psPMvLbzvs9ysi/PDtkXEsaNwRnbjkE14L/AMEtNQ+NXin9iHwL8Nfhj8Ev7fnn/tP7DN/wklta+ft1K7lfiXAXaA45PO3jqBUP/BZLwh4X8EfsjT6B4HtPsdhDtzb+Y8m7N/ZN96Qlh8zMevevb9Z8T+DP+CLHwrk8U+F/h/8A8JvpHw1x5Gg/2rJpv23+0Zwjfv3Fy0ex74vyH3eXj5Q3y/N8dZhluXYOnDLMPHEYqcKtWhSrOa55Qk4xu6c6UVaTpxlzVUn7S6+GUo/f+G0cPl+KxuaYeT5KVCbd9ZfG3HRK2ipPm97dq3W3xd/wS4+DN3+zf+2X8NfBHx4/ZW+weLPEf9s/8I741/4TgS/Z/s+nXclx/odu7xPuilji+cjGd65Occl+z/8AHm1/Yki1T9l79qXw9/wiviHwv5G+P7Wb7z/tPmXY5tElRdsc8X8bZ39iCB9Q/B34Yftr/Fb9sz4S/Gz4n/smf8IT4Z8C/wBvf2jqf/CeabqW77bpzwR/u4mWQYlRF+VW/wBZk7QpNfYWt/FF/AXiWCH/AIR/7Z5u7J+1+XjCD/ZP979K+myzE5i8Ty0oRcnHlcbKKaVnrbl191Nu6ba1bu7/AC1HO48NcVzr8Oz9rT5VGLnG3NHkjzcyUabupK90ottXbld3+I/+CZkvi4/sQ+ARYeA/tNpF/au2+/tSNN+dSus/IeRg8fhmuX/4KNeJreCCLRRyx3evrbN6f1r9MviZ8PtM1/Qbzxfb6j9lup/L2t5LPs2sid2AOQPTvX56/tEfs0+K/ifqf9q3Oq/bRF94+RHHjKxDtIv9z9K9HFxpY3LozpWTpRUZL3rt2Svrdfc16Hy1f2eIw0ZQSXIknvd+et1+XofKGueCdTt/g3pPiAw/uX8/J3Lxi4C/3s9favpT9hrx1ZTeCTo99LsaPttJ6yXDdlrv/F3gjwRqPwQ074VWGl+bcjztsnnyrs/0lZuhbByAf4v8K+Wf2o/gz4i0q68D/s5eHPGv9laT48/tP+2W/s1J9/2IRXUP3n3DDk/ddevO4DFc2CwlbFU4e7flask0nJykkld3S16u1icFg6+OqwpUo3k2kldK7lJJK70V293oj9NfDnif4X+Dtc0PxFfeMdklj9p8u3/s+c+dvUqfmAO3G7PQ5rqL2ey+Mdtp2v6Nrf2e2h87y5fsxfzMnaeG2kYKHtzmvyM/ak/4J/6B4a8U+Dvgh+zl8Lf7d8Y+PP7Q/sg/229r9n+xJFcS/wDH1OYn3QmX7zLjbxuJAr9XfBXhzW/A+kReDrXXN32Hduufsyjzd7M/3STtxux1Oa78VVw0qUamFqpzhZKScnGz57q0qUHdO3SXxaPTT2+IcpqcP414OrNOtT5b8rcopSTlbWnHVJxfX4t7ppfOf/BbrwYuk/skeLNXSTIb7Bxjp/p9gvr718eftaad438e2uifs/fDjwf/AGxrPjT7T9jX+0Irfy/sZhuX/wBbhDlFbq6428ZJAr9Of+Ch/wAAov2l/wBlrWPhDP4s/sRtX+z7dS+wfafJ8q+tp/8AViRN2fK2/eGN2ecYP5s/CL4WfE66+PnhTx18Qfjb/bjaB9u+xW//AAjcNtjz7V43+aNv908g/d4xk10ZBUzJ5LmLw8G7xipSXJaMff5rqTT1i5Jcqb9HZndw1jcZh+Gs1p4eDbnGmnJctoxvPn5uZp+9ByS5Yyd+2jP1X1C20/XvDMf2S43YztbYR/GOxx6V+Qn7Fv7R37M3w6+FPhrw/wDE74x/2Lf2f2z7dbf8I9e3Pk7552T5oo2VsqyHg8buehr9R/hPq7p4bQ3NzvxnPyY/jf0FfO//AAU0+IXwCvvgXdfBX4y/Gb/hDP8AhNNn9l6j/wAI7daj/wAed1azyfu4F/3F+Zl+/kZ2kV81gszxeW1ak8NKznFxbsno7bX0vouh43DfEmN4Xx8sXhYxlJxcffTas2n9mUXe8V176H55/tc/BrT/ANnbw74S8EeEP2if+E40u9+3/wCi/wDCInTPsGx4ZPvO7tLvaVj1G3y8dG48OeYnAKYx719ZfED9mG5+J3gXQ/jMP2l/+E88OD7T/Zkv/CGjS9371YJOPMWQYkTHzL/yz44bNfMXifRrPwl4kutCnT7YIdm2TJj6oG6An19e1d2LwilSeKw05vD8ygp1XFzuoJ2agtklaNlZRSXceerCY3FzxuApuGFbjCKk22nGEdNZTlbTTVpKyVtlkEkr0/Wm3giW0cJLuJx/DjvUqyQhPKaDLf3tx/lTJ44hp07MmWG3Y2enPNeTGLd7NPR99NP67o+fSHQnyJw7dB/hUsek3zxPP5OEjxvbcOM9O9NhtzckEyY3dsVu6xplxpWlzNFf5V9u5fKHOGGO/vXpYTAfWKE6kovkgm9Guq8+mi89zpo0HUhKbTtHXp2MAMbZ2QjPSr0Xh7xLdeHr/wAYabYZs9N8r7Xcean7rzH2J8pOWycjgHHes2RmZyzHJ9a+5v8Agkt8BdM1XX4PjHrEP2q4t939k/MyfZdyXkEv3Xw+4AfeXjHHrXDSqwXMm2kk+W1t+l/L8TCMo63+R5z4w/bE+IPgbwpc6l8Mv2+v+Eg1KPZ5Gkf8KsitPOzIob97LCVXCs7c9duOpFfp2ukahp16YJbPdOv+tTzANvGRznB4NelfDJdF8I289vBa7C23zP3jHoXI9f71bXjf4Na18QJYdY8H+OP7Dzu88f2Ytz533VX77jbja3Tru9q25sNiMT7zUY23fPa/mrzl5aaaLbU7cTXw2NxScKcKMbW09o111fNKpK720dtFotWeKeGfiq+m/ERPA7aNibn979p6fuTJ0246H1r6h8Gab4gl1LSZk0zfap5/2u585B5GQ235c5bJ446d68n0X9j698B3Q+JXjDxd/bOqWn+vuvsAt/O3AxD5UlKrhWUcDnbnqc167r3j7U/AvhK71p4/ta2vl7IMrH96QKedp/vZ6dq9TG4fBVa1L+zrS93lk/es5vRuPNZ21TV7ea3ReKpYV1YRwnvaWb1s5bNq9nbVNXS81ujs9Q0gX9vBEbnZ5W7nZnOSPeuZ+H3jnQY7m08CWlz50w8zbJsZc8NJ0K46e9ec+M/2qte0PRdJ1i00DjUfPzF9qT5PLZV6mI5znPatj4B32jfEbwdpHxI03SP7J1O9+0bJPtDT+VskkiPB2q2VU9hjPqM1M8oxOFy+VbFq0G7Rs1pL3t+ttHtf8iZYCvRwrrVlaN7J3Xxa79ej/qx2fx1tra/8C3Nh5uxptmH2k4xLGen4V+H37SH7AvgPSdI1rSfgp8Pc66Ps39jwf2tL/eiaX5p59n3DIfm/DnFfs18VofE1l4bMmteJ/wC0A3+rX7EkWz50z93rnj8q+J5fCdj4k+JkslyuQu3uf+ePsR6V5+Cr0cPWdKtaVNpptRTaut48yundLU58PVhSm4zs4tNPRPddLrR+Zof8ESPgp8ZNM+IHxL/aY+LPgP8A4RfSvE39jf2DD/alve/avs8V/az8wvuTa5Q/Oi538ZAJr9BvDPjLTfE10y6J++SHHnv8y7Mg7eGAznB6V+EHw8/bw/4KE/Cn9lKPx74B/au+waXFny9B/wCEF0mXGb5oz+/kgZvvOz9O+3pg1+4vwu8KzeFZbtv7b+0ify9y/ZtmNu/vk+v6V6WdYeoq06+J5k6i9pT5uW8oVJSalLk0UndtrSz6W0PVz3D4mGMliMTe9b97By5byhUlJqT5NE3q2tLPpax02uK7ujKuc5yM9Oled/GnQD4i0tr20m/dS42tt9GQdyD1Fek6hLCiRvLb7y2f4yMdKSPSNMnslsDaYj5wvmN659fWvn1K0E+qPBvofkI3hH9uT9qn9vHxp+z/APsz/Fr+zh4a/s7+yNO/sHTJv+PjS/tMv7y7Mf8Azxlb5nPXAxgA/Qnhr/gjl/wWI1nSlk8UftZf2VNz/ov/AAgnh6fHzH+JLsDoAfxx2riPhH+0joP7DX/BVv49/Ej/AIVf/wAJRNpn/CLfYoP7bay8vzNCeJ/m8uUHIuM8g42cYzkeveKP+C/n7anx+8e6z4I/ZA/YdwPBn2f/AISK6/4WZpv777XEJLf5b2xTbjy5h8hbPVsfLn8+8Rqvjw8bQXCmX0P7PkuV4qtO79rzVZOChHEOShyqKTWH+K/vWvI/TMNl2WYfIcHjMTQpunU5k6lSVaymqlW0eWlO6XLBbQau9WfnR8Df2Afhd4W/ap8ffsr/ABt0j/hJ7vQf7K+w6z9onsvI8+xkvH/dW85DbgY05c42ZGMkV5R+1z+zP4a+EXjFbPwJpH2W3TOY/tDvuzHCeskjEcu351+hH7GX7Nvxc8MeJdf/AGm/2zdd/tX4n+Mfsv2+x+y28H9k/ZEntE+exkNvP5tsYDwi7MYOWLGvDP8Agq34WfQ/Dr+KNHXyiMecc7v47NB94n1PQV+pZfXwSweGhjKfvqm/aOCVnUvJ3i2+blS5Er22d13+Px+IySrjL4WlKFL39NL6zm4auUtoOCeu6e+7/P8AudKv0uHt2g+ZMbhuHcZ9arbIvK3+b839zb/WrDarqE8z3Elzl3xuOwc4GPSo7pYYdMaRYv3gx+83f7Xp9KwqU6FRynRTt7z978LW6+uh5ElTbbh57/hsVr2N47c7xjP+NaXhfWV8P67Bq7QeaId3ybtucqV64PrXU/tA/A+4+Cy6Ssvi/wDtUap5/wDzDxB5Xl+X/ttuzv8AbGO+a4lEEjhRxmtcVhMfkWbeyqR5KtNxdm07PSS2bi909/U68bgsfkmZOhXjyVabTtdOzspLVNp6NP8AMCA4yD07VZsdSNipQwbs/wC1j+lVjlOh60bdwzmuSjUq0qnPT0l/Xc4YSlCV47kx067ik2SRYYdRuFek/sXfFDwX8Hf2ovCvxI+Ier/YNH037d9su/s8kuzzLKeJPliVnOXdRwD1yeMmvPY7+S4ug8q5z159q9h/Yi+GHiLxD8d9M8Q6bpf2vTdJ87+1JfPSPyfNtZ1i4LBmywI+UHGOcCumthITp3oXcb2d/O1u2534DFVMux1LGYdJypTjJX2vFpq9raXWtmvkfUNl+0H8HPjz+338G9e+CPir/hJp7X/hIf7R0/7DcWXkbtK2x/vLiNA24RyN8o42YPUV+jtneanZW0p0nw79smXbtt/tax7+efmbgYGT+FfC37XH7R/ij9nT4HeJNS+EWnf2P4jb7H5Gueclx5OLmEN+5mjeNsxyunPTdnqBip+xn+2P+0w/xa8b+BvjF8Tf+EwTQf7N+wzf2LZaft8+CeR+IIef4ByT9zjGTXqLIM3rVad6ad1FpyaV1yy5V7strUppPR6Xk02j386jnfEeZyzOvRipVeR6OyfuSUVZzk1dUp9d1ra8UfoP8UPFg8NeEpNYutF81UxuT7TtzmRF6gH1r8aPDn7fPxv1jQLHxj4l/b4/svX77zf7T0j/AIVZbT/Y9jlI/wB6kASTfGA3ygbc4PIr6s/bw0Hwx+1R+1X8APhV8TtM+2aRdf8ACVfarfznj37bG3mX5ojGww8KHhu3pkG1ov7BvwV/ZA/bo/Zg8bfDLS9lv4+/4TX7fp3n3J8r7DphjT95LPIWyZnbgLjod3GPBqZrgMkzOhgq9vbVJOMYt1LTbg5pXg425YwnK7nFO1t+VMy/I8TQyGtnM6dOdOnL2bjKVRSbfI00qbjspdZ2tfS6ifWH/BNH4peNPj3/AMEwPBXxF+Lfi37Xrerf2l/aGqfYI49/la1dRR/u4VRBhI0XgDpk5OTXk3xH0nRn1ZLzTvE32h4s4i+xMm/KqOpPGOT+FfdviW2t7rSJ9LuIN6tt3HcRn5ge1fIXxF+Gmm6bcPcLN/qsZj2tzkKOu73rvwWLhQhNVJyTd+zvdWd203r6o+Yo1lCMuZvX9T5D0DTLqT4uSMkW5Vxk7gP+Xc+9fcn7O4jtb2FpJMj5u3tLXxP4l8b+Evg34u1Lxz431j+ztH07yftt39nkm2eZGI0+WNWc5d1HAPXJ4Fe1fsJ/tmfDv9oHxWng7wBrf9q3Fnn+0Lv7NNB5W+O4eP5ZIUDZEbDg8Yyeozk8PPFwnOlb3dbXSlazbaTetrNu3fYSoyrRlKNtOl9bWbbs97W1sfoN4hnGqeHbqEDyz8mD1/jH+FfBX7efjCf4GfBrxB+0J/Zf9qL4e+yZ0nzxB5/n3Fvbf63D7dvmbvuHOMcZzX30/wBjihjs1tflmzuO89jmvzy/4LJ3UVh+w14706OLP2n+y/m3dNup2R/rWGFxOJwdbnoOzs+z6a73M6VWpRnzU3ZlD/glx4a8Q/AL9m/wNqXxG0z7HLpP9p/bLfz0k2ebeXYT5oi4ORIp4z15xzj5a0D9qX4b/GP9s34Q6r8Prv8AtD+w/wDhIPtcXlzRY87TiE5liX+43TPTnHFer/tSftK+NPg5+yLrul/Dcf2dqWnfZfsWq/u5vL8y/iL/ALqWNlOVdl5zjORyBX0T+zJ+yFpf7Pf7O2kfAfUNa/4SJNP+0faNT+zNafavMu5bhf3YlfZt8wLwxztz3wNqeA/sLN8S8VTuqzgotu7dGnUnKnblkkpS558112so7n7t4k51SyPL8Nw5RjzU/Zw53JXbjCUVBJpr3vclze7bVWt0/Oj9rT4gaN8Uvjv44+GPxc/aK/4Qfw5Yf2Z/ZGlf8Ii2p/aN9rDLL+9hVZE2yIjfMxz5mBwpFYP7bWr/ALMPiTxL44+IvwL/AGyf+EifXv7M8vw1/wAK8vbT7b5CQRH/AEi4A8vZiSToN23bzkGv0x+J/wAMfCXgOIyWXhv/AI+/vr9sk427MdWP96vzm/bv8HJoum3GpwnIk2Z9sNbj1PrWmPnXjNV6FScaT5klpqpX0esmlFOcbJxUlOTkpNrl/K1nn1bLJ4SlQi4T+03VU9qiW1XlXKqk425eWSfvxkz5VhYxhiq7umecYqzp+qiweRjBu8zHG7GMZ9veq88ZtwArfe68VGwOAxPWuSFavhai5HZx9Ov/AA584pzpSVt0TX12b27e88rbux8u7OMDFVLr/j3b8P51fWWyOneSbD99/wA9/NPr6dOnFUr2LZbsd2enb3qcRGblzuSlze87d38l+Ggp/Fdu99Td8LeK4/DV/BqH2PzzBu/d+Zt3ZBHXBx1qmqXviK6js7C0zLztXzBzxnvjsDVU2uLf7R5n4Y98VJY6jd6TdLeWEuyVc7W2g44x3z2JrtWNrypww+Kb9ktWopXs7Xaff3Vu+h0RrycI0qrfIneytfW17fJLcbf6fe6ZdNY30OyWPG5dwOMgEcjjoaBp12y7xF8vruFF/qV5qd299ezb5XxubaBnAAHQegqzPrUMkRhtbDys/dPm7sfmKxjHL51Kjcmor4b7ta2vZNXta+2pnbDucndpdL726eVyXwn4X1DxjrUWhaeuJJt2DkcYUt3I/unvUfivw3d+EtfuPD2oN++t9m/gfxIGHQkdGHepvBXi668F+IYNftofNMO793uC7soy9SDj73pR4v8AEU3jfxLdeJLiHyXuNmY9wbG1FTqAP7vpXU45VUyWPK28V7TbW3s+V/8Abvxed/kdnLlzylNN/WOfbpycv3X5vO5T0bT4tW1SOwnuvIWTdmXy923Ck9OM9MVdsNE1bxJqEWj6NZ+dcTbvLj8xVzgFjyxA6A1veEPhq19odv4tj1zymbfiH7NuxhmTru/HpXp/7N/w31fRjLqGrS5lu9uYNq/utvmj7ysQ2QQfaumeXYnAZfTlWp2dW8k7p3jaLj103fRPXXpZVsHXwmGhKpC3PqndO6srddPuT1+76I/Zu+DWk+H9ChhsrDyrePd5aeazdWlzyXJ6mvWrz4a3pBNvbbmHQbwM/m1S/BO0X+yUVY/uZ5z6tJXrttpxkg+0KmWXq2evOK8FXjVTW6Z5y0kfHP7a+reFPhL8bPg34w8ban/Z2mQ/8JD9quvJkm2ZtoEX5YwzHLOo4HfPQV5p8IPHHhbx5+0n488V+CNQ/tPTL7+y/s1z5Tw+Zss3RvlkUMMMrDkDp6Gv0A13Q9cayEk2t77aH/X2/wBmUebkjb82crg88da+WtD0m21H4xSWswwpxhef+fcn19q9yljcPTw31PESUqXN7SyTvzW5bNtxsre9on0XV292nmzjk39l1LOl7T2uifNzcvJZu6SVtdE3e2vblP2l/iX4G8BfHT4R/EvX7j7DpVv/AG/9pn2Sy7d1rFEvyqpY/MwHC9/TmuU+HkHxc/aK8ceAPjTJ8H/7L8KWH9q7dT/4SC3n87fE0B/d/JIuJYtv3TnOegyfu3S/Bfh/4f6ENa0G28uW1/1PzucbmKn7xI6MeorqPFfg/Rb+PEsGd3fc3t7+1dGYZlGjh54bBNrC1Xdppcz5VCybu9FZO6a1bTukjfE57XpZXPLcHK2FnNyaaXM37lk3rtyRa5batp3Vj87f2r/hDrd74EvbTQ9N827m8vy4vOVd2JYSeWfA4ya8H+NfjLWvFnjfxF4s8UeFP7EbxJ9k8m1+3Lc+V9nijQ/MgG7OAeQMbu+K/RH45eCkj06SOO0wgx/y094/9qvjD4p+Azqks3h+W48hJ9v7zZuxt2N03e3rXm4PF4ydSOHo2191J7Pm546vf/l5Jb9fJHl4bGY32f1Wk/dm1ppq7Titd9qklv112VvAo5INLlWaCXz85yNpXH+c1DdzPqFw1wkW3OON2ccY/pUlwIViKGHLN91tx+X8O9V0kMJIAzmsMRUcbUW7Q3suj9Xr57vc45zduXpvZf8ABLLXQtbf7EyZZe+ffNVARgirEtq8kJu5Jsk9Rt/CrOjeHf7Xs7q7+2eX9m2fL5ed24keox0puhjMVXjShG+j5Vp8KTffsio06taahFX0dttkr/kQXV4LjTLSzWPBg8zJz13NmmS3/mxlPKxnvupL2A2Ny1qX37MYOMdRmoDjPArKrXrQm4t2atF7fZXL+hE51FJp77fdoFFPby1/5Z/rRXM4JO3Mvx/yIO0l0HwJN4XN5ZWmbo/dbzJf7+D1OOlcSQCcLV/w3rJ8PaxDqxtfN8nd+737c5Ur1wfWqK5U8jrXs5pjMHjqNKVOnGnJXUlGNtrWley3ba62t5nfjcRRxNOnKMVGS0airbWtJ+bu/u8xMsvGaFVpG2qMk1NbT+SWOzO7Heh7pWBIHPpXmqlTcE5T+Rw2VrtkUMTzyiKNck9BmujsrnQNP0i2guH2XQ3/AGgYc/xfL046HtXNVq+GvCWt+KPOOj2nm+Rt8z94q43Zx94j0NduT1sRTr8mGpc9SSaStfTRuyWt9N77X0OvBSre15aMOeTVkrX89Etb6fdc1vDnj698J6LcP4W1T+zb75PPPkCb7f8AMdv31Ii2KT0+9n2r6H+HPx20/wAQ6dpMtwP7PvNX8/7Facy58otv+cIB0GecdcDNfJ8sbROY3GCOtXF1J3kFyttxF1G/149K5KcKdaq/avl11SWr7/cvU5oqMpe9p/Wp9ya3rvhzwx4al8b+M9R8iwt9vmy+S7Y3OIxxGC33io4FfGfxQ8ZR/ELxzfeNl0n7CLzyv9G8/wA3ZsiSP72BnO3PTvWX4m8U6t4s1648Ra5N5t1c7PNfaq52qFHCgDoB2rotK0NW8LR6rc3nlRc7j5e7Hzkdj616eW5bHMK1SFF/Cm7vok93e3zOvC4R4upKMOib+S+45N5op5UErZUZzxUdxtD4j+4Pu1HVrRdF1LxDqUekaRb+bcS58uPeFzgFjyxA6A147rSq3TWr6/p6fqcTk5FH7VB/z0/Q1uTa/BHCy3N3gtjZ+7P49BXRyfGW/i+AJ+CMng3AHXVP7RH/AD9faP8AV7P+A/e9/as74Q+O734f/E7SfHVj4d/tJ9O8/wD0L7WIfM8yF4/vlTjG7PQ5xjvXu0KeGwWIpUqFdy9rGHP+7kuSTbUo8t7z5FrdaS6HtRw+Bo4qhSp4i8aihzvkl+7bdpLlvefItbr4tkepeA/2oLbw54JvNd13xz/besyeX9n0H+zDbeTiRlb9+sRRsoQ/I427eppPG37Ss9g8dzpXh37Xpdzn7Df/AGsR+ft2h/kMe5cMSvPXGRxXmHxY8cXnxG+J+r+OL7QP7Me/+z5svtQm8vZAkf3wq5ztz0GM47Vb8f8Axdj8X293YRaF5K3Hl4k+1bsbSp6bB/dqZYPL/wDaKlXEcri2oLkl77XNbS94Xsr823NrsZVcJgIzxH+0fA2oe417Re9Z23hey0e3N5GvrHx8nj1e7Nr/AKdZv5f2aPiLy8KN3Jjycn19K85n1G/u7G306ebdDa7/ACE2gbdxy3PU5PrVcAk4FTQ6feXC74Ycj13CvEftMTP3Ya9or/hzy/eqS0X3HY6L4S8NXnw+i1mfT91427MnmuP+WpXpnHT2riBjPNWriK5t3ZbiDaR1+YHH5VVIA6HNejmmJw9anRhToqm6cVGWlnJq3vNWTu/O/qdeNxFKtGnGNNQcYpO32mur0Wr+Zt6tf6RN4U0aysZc3UH2j7Yu1vl3SAp14PHp+NYro6k7hQq7u9OhjVpxHK+wdzjOOK469epjKkZSVtIxVtF7sVFb9Xa787nPWqyxE1JpLSK0/upR+92u/O5Debvs53e386kyNmM0t7d7rKSLy/vY5z05qaVpJcp5eM981Cpw15ZX07epnZdGVySepoOMDH40/Y8nRenXmiWOONFKzbmOd6bcbfTnvWXJNJtr7xWZ9Lf8Ez/h94b8V/EXUvE2raf5l7o3k/2fcea48nzobpJPlVgGyoA5Bx2xX6eeBfD1zZzRrpsGxGz5w3A5xux1P16V8B/8EvtVjuNIvrVvFv2xtP8AKxpP2Dy/sHmNdn/W4/e7/vd9uMV+ieiT23nWuptLgQb8ptPO4Eda2hN+zsnpr99hp20PaPAV7Z6NpS3F63PO44PHzMB0z61w3ij42aXqN9HoXhq42pz5abGPYMeXT2Peue8XfErStGsJIra7/eNj5PLbjle5U+teI6T4jPhjXTqNmv2+7tvuWmfK37lIPzEEDAOfwxXdl+AeLjUi21K10tk35t6JJtatpK+50Yah7fmj16dvm9l6s8g+OX/BO7x18aPij4x120+PP/CN6P44/s/+2tK/4RaK8/484I1h/em4Vvvpu+UL97ByBX1F4lsNO8N6XFDpF35cUG7dH5ZO3cw7tnPJNcI+p+INU8R2+panpH2EWu/av2hJfN3JjsPlxgfXNafxu/aGtNA8CJo8U22U5yu0n/lrG3/PM9jWleUYVE5tTfWKd1e8n3knu3pom31vfWtUqNxjUlzcqsle6Wrdlq1a8m9NLyfW58nftg+OPDf2O7Piq4/4l8fl/aG2Pxkw7fuLu+9jpXxzqd14r+LHjW08G+Gde/4SCceZ/Zz/AGWO08z92Hk4faBgIfvHnbx1r6q8bfAn4k/tJ/CjxRF8OfD39qasfsX2K1+1wwb/AN+u/wCaV0UYSJjz6cckZ9l+CfwM/au+K37Xvw3+IXxb/Zk/4RXwz4P/ALY/ta+/4TSxvs/a9Pkii+SF1k/1qIPlDffycAE1jSrYiGX1YKpKMG0+Vc1pardp8qcbJq69DowqpPK8Q54hwa5OWmlJqpd63afLHkVpe8nfZanxzZ/smePYtBudOtfGOLbUNn2qD+z4vn8tsryZcjB54xWTdfskazZIt5c6/sibOP8ARVPt2lz1r9cvHXgf4VaZrUdjq+rfZ3jzmP7PO/VVPVW9x+dZnxo/Zwt9T8JXmmeE/Cn9oXi+X5C/bjF5v7xC335MLgA9euKqhhOf2XtHyupJWlLRJXs3d2TWqb1SS38uSlh3UlBS05mrN6Le27sraq7ukup80fsq+JrS712O3vF+9nuf7sx7Cvr/AFbwBo2o2S3mzzDz82WGOQP73tXw98RvBep/s7/FAxPD5MT/AHBuVsYgXPdz1l/z2+kfCP7Tlnd+FIbOePzWO7JyVx+8Y/8APOuCMMROvyx+J7Wf/BOZKblZbnoWkWTaXcOVHAxu9+D/AI1Q+DXxs8cy682navfefaPjzo/KiXorkcqmeuOlUtC8WTPZI6w7H5zFuz3PfFQz3j2Uxlf5Hb7rda3oYiGHoVYSipN2Sbtpa92v+A+hpCooU5RaTb/D0O1+P3w5g8eWOn31lpf2gW/m5/flNu4xjuwznb+leRaB4f1fw74dtvD11Z+TBDv3ReYrbcuW6gknk5616rpnjWS3sWiuHyj4wMehPotcn4wmgS0M0cvPZtp9VqnmeLlgFhJO8L3S1397Va2+0+hbxmIeF+rt+5e9tbX16bdX95+aP7YvjDxHd+JPG/g6x8H+bZaL/Zv9qat/aCL5fnJA8X7ojJy3y/KT6nFfOAuIJGEcb5PYYNfVP/BQHwL8Pn17UfiHFof/ABObvyftV19pl+fattEvy7tgwnHA9+vNfO2qePJNZ8F+FvBcmjeSvhv7dm7+0bvtH2iQSfd2jZtxjqc9eKiKwleLcpcjS9eaXOlZWS5UoO+rldweq5klUIYSrTk3Jxko7PXmlzpWVkuVKDvre7i9feSWDTbkM1pI3YYz+dSzyCaYyDgGptV0DUbPT5LuaHCJjcdw4yQPWsYYetPnlTTlGN7tdtdX+ZzxpzldxV0hl1f3d7I0t1LuZsbjtAzj6Usdvcg/Z9n+s7ZHOOaaZ1Nv5WOf/r1Npd3Da3AmlOMdBjrwa1p+zqV17Wo3fd3773uNWnP3pb9fzNnw/wCDpfEb22k6Vp3nX0u/dH523OMsOSQPug19jeG/2C/jf4h+Bi/B1f2nPK8Ltn/iS/8ACF2zf8vRn/13niT/AFo3/e9unFfJvwv8AW/xm+JOleA7LXvscmpefvn+ymTyfLheQfKWXdnZjqMZr9GPjv8AtQ6l+zfqfg/wJ4J+FH/CYan4l/tDy7b+3V0/yPs6xyH5pInVsrKx6jGzuTx6Nfkc1SwsLvSPu395OyV+Xdt2TWt2++h6FKvi6dX2WDclKa5GoN3mpWXK1HdS0vHW76XPedIa8sb+J4uFG7eOOODitP4raLqPxX0W9sdC/wBIm07y/tUfCbPMZCvLFQchD0z0rzv9mn48Q/Hr4C6R8dj4W/sVdV+0f8Sz7cbnyfKupbf/AFmxN2fL3fdGN2OcZr6O/Zh12y8ZaxqOkxJkQeT5i5P8SysOw/u1xYSVWjTlXVO6it+mrW/326br58VHmjFz5bpfdutz83P2+vgHps/7LniD4j+JtA83UfCn2T+x7z7Uy/ZftV9bxS/Ikm19y4HzBsdRjrXdfD//AIK//D/w/wCA/FHhi9/aH8n+2fsO2D/hEpW87ypWf7wtDtxnPUZ96/QL4L/Fz9nTVvHlr4b0zxB5ev3m/GmfZLs42RO/+sKbP9WC3X2613HxEufDfhh5vFl5cbmG3d8jjH3U7Z9fSqxuFlSi8LmOCpzcnTmlVp8zTpzU4uPN0coq7V72Vmmrn1eQ8TZ3wXOpCnRjerytqpGX2XLlcbSj1bs9dUrbH5VfsV/tTeDvFf7Tfxo+J7+PPOs/EP8Awjnkah/Zci+f5FlPE37vygVwRt5UZ689a+5fgT4F8NaPq+nSaJabbeLzvLbzHOMrJn7zE9Saj0bX/DnjHXpLuXXPJeXG3/RnbohHoP7tfGn/AAVl8deMvgL8aPBl94T+Nn/CM6f4p/tH+1NR/wCEbjvfJ+zW1mI/3bq7NlpCvy7cb8nOK9vBVMD9TnRs6TkneyXJdy5YxUXyRioqT1lNpJPa9jinjKea4irUq3p1K0pSlquRynPRJS5VBLmd5TqNJX1R+gPi74UfD1Hg1rS9D8q8tN32aT7TK23dtVuC2DxnqK+bLD4TaUPj9q+sQR757j7PtO5h921K/wB/HSu1/wCCa3xM+Jn7SH7GXhH4tfGHXv7T1zU/t/2vU/ssMP2jy9RuoU/dwKiJtSJF4UZxk5JJPcS+DfD3hj4iXOuTje82zZ98YxDtPQn19K+dVXE1qqfO5Stpq3pvbf5+p8851ZyV221t1OutvFPhr4c+EpdQ1248i1t9vnS7HbbukwOFDE8sOlfjh/wVXvvhFqP7ZPxzvdYm8zXn/wCEZ/4RF9twM4060F1wvyf6sD/Wf8B5r70/4KYftNa/8M9B8LfAT4dfCP8A4SvVfiP9u+zf8T9LH7H/AGe1rct/rY2WTert1ZNuz+IkCuW/Z1/4KQfET4m/tE+E/gB8Q/2V/wDhFl8X/b/smqf8JxDfeX9ltJbl/wB1FbrnOxV5dcb8jOCK7aGEtlzxMYOUk5RleLcIqUYqLbtZSbk+W70cU7aq/q4bCVqWXPHwpOaTnCTcG4RUoxjF81uVSvNuOt4yUXbVX9k8I/EPw9BZWk3iXWdslx5mx/s7ndtLZ4ReO1dl8EfD/gLZDpnhGDyY4N32L5pW+95hf75/3uv4Vy/i3xPpd/4mjnstS8t4d28eSxxlBjqK9vsvG6XNnLq+laH9ruDtwv2ny9/O3uuBgZ/Kn7WlyulT5oubd05JRWrtpypOye99r7XOF1I8rhC65nqr6dbaWWye/r3Pknxd8M7/AMU/EyCwebeJN2z5QOkKk/xD0rv/AIs23iTwHpNnpfgQ7PL8z7YvyHGWQp/rM/3m6fjX1Rqvg7TneTVnt8MMbTvPPRfWvk34xahrereI5baJvkO3HC/3EP8ASuKOJp0MTGrGCdltLVPf0/4cwhUjTqKSinbo9UeW3t3Nq2qo0cfBzzkc/L/9auJ+O2jWfiPQ7fTvtO+afflNhGdrRnrkDoK9UttIl0aF9Q1W2wseNz7+uTjoCfUVwlxaeFdZ8P3txba9j7J5eU+yvzvfHU49K9rLMHLGSliK0W4xslZcyvK6V9H1a7X8tztwmGlXvUlFtLTRXV3or6PrbTqflv8AE7Q7fwf47v8AQNNi8qKDytqbi2N0SN1JJ6se9YVxJc3khu5zuZurcD27V1/jix8SzeGfC/xa8TeK/t8/i37b50H2FIvI+yusI+ZOG3DB4VcY79axfD1v4V8V+NrSy8aeM/8AhGtLuvM+2ar/AGc959m2xkp+6jwz7mCrx03ZPArzcTh1BuLk1zOLUXZK0lzRe7ilaS7NXe1mKrgq1OvGjJ2lLkaTcUrTipRbbfKlaSerVr62szDvZGkt23nOMY/Ort5p1zbO0rQ7Y1xzuB/rWv8AFXRvAGhJZR+AfjF/wlaz+Z9sH/CPS2H2Xbs2f6wnfuy3Tps56iueODzn8K56yhQnKnL3npqnF9H1Tknutn0tuYYmhLCVpUZtNq2sZRktr/FFyi9+j02epp6FouoanfrHpltvcZyN4HY+p9jXU+Afgt8YPiRrWsaf4C8D/wBpy6V9n/tBf7Tt4PJ81WMf+sdQ2QrdM4xzjIrh4S1rMsrp0zxmt7wX8M/GPxVXVY/BPgv+0bi28jzLj+0Y4fs+7dj5ZGUPuCMPbHvXp4CUa6hQo05urzN2jq2lB6KKpyd/PVd7LVd+V06WJxEKPsZ1JXb5YO0mlFuy/dz187NWvt8S/R//AIJkfGL4Q+KvggNE8G2n2C78P/8AIX0XzLiX7D59zdNF++dAJd4DP8pO3ODivpDWfinPHZldPj3kdOQMcj1X618df8E74PHHjXUfHP7QOreDv7J0fxr/AGZ/Yh/tCKfzfsYubab7uGXDqPvouc8ZAzX0Oulw202RN5qjr8pXb+vNeRUp0Y4icac+dRb5XZrmSejs9rrWz72POxFOhSxM4UZ88E2oys1zJPR2equtbPVbHzhe/Cb4CftB/ttfGjVf2h/DH9pS2X/COf2Z/pt1D5e/TcSf8ezoDkRx/ezjHHU56P8A4Lg/twaj49+I3xP+A+p/E/7XNd/2Lv0r+xRHv2w2FwP3ohAGAob73bHtVj4z/sJfCP4v+Mbz4jap4a87UdQ8v7XL9tuF3bI0iXgTqo+VAOAPz5rpP2XfDXwH/ZCvdS0jw7oX9m32o+T/AGxL9qupvO8sStFwxkC4WYj5cZzz043oZLh8RmFPH0aEK9eNKtT5XBzcFVlSk6kPcXJKDpRSalLVp9D7rL+JpYbhp5bgMJB1pRnGpUSk5yhNyunaEdrxSbnJaL3X0/QXwTF4gufDWnPPH+4PnfaTlP77bffr6V1PhPRNOtZpb3UYMyNtwNx4xkdj6Yryj4WftY/DfxnBa+FtHufMuJt+1dkw24Lv/FEAeFPeu/j1q0v5DdWs+FX7y7Tx27j2pYvA5hg5JV6Tg7drdX/XyPhsRhsThpctaDi/NWPzu1//AILU/tMftA+CBqPwi/Yx/syLUf8AkHaj/wALFsptnlygSfu5rNCcmN1+bHXI6DPyX4M8dfstftQfFD4n/tG/tHfD/wDsXSV/sX7FY/2rfXP2L9w1q/z2qxtJveKI8p8u7A4BJ+nP+CVH7AH7Q/x8/Z+8B+OfB3hXdomrf2p9m1D7daDPlXd3G37t50f78bLyB68ivTv2zv8Ag30/aX+JtjoWrjxL9istG+1fbLj7HZSbfOMCp8v29ScsmOM9ecVhmvHPhPkqoYCWd0PrTgpSoyqUv4rTi4ylZcrpyT/dzbk37seWUrv9hwPCmX4LK8JjsLOFavKCn9XqulapKrBRW/I+WDbkoycrtWi4ybb+O/2dPjZ8Fv2c7/43fGn4G+Ff7b8KaJ/wjX9j6X9uubbzvOEsEv7y4R5FxLLI3zKc7cDAII9H/Y8/4J8zeGPhP4d+KutfCPyPHEH2vzb/APt8Nt3TzQj5FnMJ/cEL933+9zXz5/wUavPjr8IPihq/7O/xX+P3/CV6pB5H/CSWX/CK2tj9n3QW1zb/ADw7lfcrofkfjZhuSRX7P+KvjXD8N/hdcePdS8P+ZY2eze/2sjO+cRjgIx+8w7f414ma8TY3J8RgqmT4eGKqYiUOROUeS87SioWk1JyvHlakmveTjfVd/hxkWGrcRY/EY6lD2tFx9xcjp05TlKT5LOaThyJRaknG8ovVH5T/ALWXwp/by8XfszeK/if/AMFBtB+0X3hD7B/wgl99q0tPsn2q9hivfk01gJNyrbD96rYxlMfMa/YD4QeK5/iX8O7Lxlcah9rS58zyp/JEe/bM6H5QFxjbjp2r8xPgn8IPHH/BST4lfCv4xfGz9lj7J8FrL+3P7V1L/hOIpPte+GSCL93A8N3HtvLWNflU5zk/Jkn9ZNFKarZrcWTebbvnZJjbnBIPB56ivYwtKGFy54ZRi0mrShDkVvebXK3LVuW/MtFs91+a8X4/KsZmDjgZzqwior2023Oo/ek3K8IyuuZU1faNNbq1ud+N+nzal4Btfs0vXf8Aw/8ATWP1+lfCep+C9T8PXst5qFt5bDbs+dTngA9CfUV9G/HL9qWTS/GzfDJvB+xIP+Yh/aGc7o45f9X5Xvt+97+1eM6rYa34/wBSENqnyP15XnCj1x/drvxFDHZVSdKrGyqxUlqnprbZ/nr5HzdajicHFQqK3OlJap6dNn+epl+J/wBoDQPhP8Pbjxh431v7Bo9hs+2Xn2Z5dm+UInyRxs5y7qOAeuTxXyD+1Z+0T+zt8cvGug+OvBH7S/8AYN/4c+1fZp/+ENu7rzvtEcMbfLJGirhY2HIOd3bFe9ftxfs3/EH4ifA+/wDBXw40H+0NVbyvJtPtUUXmf6TbyH5pZFUYVWPJ5xjrivJvjp8K/wBuH47eB9V8GQ/shf2b/ankYuf+E/0yby/Kljk+7uTOfLx1GM98V05b9TwsXXliOWahzJcsneSk2o80JJxfuxaldWv5XPVyqlltOjUxNXF+yqwSlCPJNuUk5NR5otcjTjH3n/Nf7JFpfxd/Z1/Z1+Ci/sw+K/i19q1TRc+bJ/YN2nmedcm7HCI6jCyj+M5x2PA+HvthuTnzN2PbFfoZefEub9hL9r3xRffGjw59k8G/E/7F/Zvi37Z5nkf2bp+JP9FgWWVt01wkXzbMZ3DcM4+R/wBsv4neB/i/+1H4s+I3w71v+0NG1L7B9ivPs0sXmeXYwRP8kqq4w6MOQM4yOMGvNrzVXGShB8sL6ei0V/OyRri8ryyOQwzCji06kqjg6NrSikpNSu5XkmlHVRSvK17po8xt7OZyJWj+TnnIpNYWye0L2QyF++efUY61q3Gr6bHoh02C58xh0OwjPzZ7isSafy7CaDZnzNvOemDXViYYXDQVKElLmjdvR2dtk15r8Tw6kKdO0U07rXyfYcQ8T+XIMY6ipXuj5TRo/DYyMVbl1Yy6YbNrbaD/AB78/wAWemKoEnYQR+tYVlHD+7SndNdmmvL/AIJnPlh8Lvdf0ixpy2T7zfDPTZ1989K/V/8A4JN2OmWX7Inh7U3H7y5+17m+bjbqF4BX5R+HdJtdY1NLXUNS+x2xz5115Jk8v5SR8oIJyQBx0zmv0z+LHjr476F44+EHwQ+Bvxn/AOENPi//AISD+1tS/wCEdtdR/wCPSJLiL93cKfWRflZfv5OcAVlKf7iPNDRX1tq9e/W2xthcNiMdiKWGowvOclGOyu5OyV3pu7a2S6n14U8TXGp2aadJ/o6+Z9qTCf3fl5PPXPSvQvAvjS80SdLa8Pls2d3Q9Ax7A+tfB37Jv/BR74z6P4o8EfAH9rv4X+RqGu/2l9r+IX9t2zed5KTXK/6BZW5VcKYYOHGfv8/MK/Qj4RxeAPi7pCaz4J8SfbIYc5k+xyx4yzr0k2nqjdu1dmIweMhSvWoypxi7N8klZvVJu1r2a03tY0xOAx+FTVejKHK7O8WrNq6Tut2mnbtZnqekanfzW0eq3bbbc53NgHHJA6DPWrF09zPauukHLcbunr/tfjXD/Gz4Gt8X/g5qfw1sPEH2Iaj5Oy7+yeZs8u4jlPyl1znYR1HXPtVL4Z/CmD9m7SNZ1i98Tf2kt99n+X7EYdmxnXsz5z5vt09+CnhsFPBuoqv77msqfK9V7uvNt1en93zIjRw0sLz+0/eXsocr1Wlnzba3enl5naHw5JdO11f2e6ZseY3mYzjgdDjpXnHw+ludLvrTQb+DyXg8zzE3BsbgzDkfUd67rwf4qbxJHdanb2myBtnkyeZnf94HggEYI71x51Y6ffXOqzpuSPZkZx1GPT3rCVWvDmw8ldu2nZ2f+Zg5TinB/wBf1c8M/ay/4KV/sK/DDxdefB74n/Gz7D4l0Xy/t2m/8I3qcvkedHDOn7yK3aNsxujcMcZwcHIr5c1r9t/9lv4WfGG/0Dx78TPsE9t5X2iH+xr6XZutwy8xwsDkOp4Pf6147+1h+xx+1rZeJvi4vg74Kf214b8Wf2B5XiT/AISSwtvI+ypDn/R3m8xt0m6P+HG3dyDXK+JLr4xeEf2gPG3izwr8Gv7bs/EH9m+S3/CRW9t5fkWgQ8PknJY9QMbe+a+gwnDSxmJlSjUm6cZcrlGnKVl+8s+SOsrqMHdaR51fofTYLh7DY3FRpxrScLtSlGlKXLZ1Le4veldRhK8dI+0Seq1+0f2Yv+Cb3/BJr9ob4b2XxR8IfBn+19F1LzPsWof8JFr1vv8ALmlhf929wjjDxsvKj7uRwcn7r8I+LLZPEcn9oXG1ExhthOMo3oPpXzh/wSO+C/xE+Ev7G3hT4YfEvRP7K1mx+3fbbT7TDP5e/UbyVPnidkOUdTwxxnB5BFe9Lpcq+MRCZdm/q23PSP618xU5I2i1Z9fI+WdjudVsPDnjmcRvF9q+x9BudNm8D6Zzt/Stuzt0tQsEabQucDOayNa1WTwlbW9slr9o8zf82/ZjBB9D/e/SsP4weG/EOu+AdRl8JaX/AGjfS+T9nsfPSHzMSpu+dyAMKGPPXGO9bU6TrzhTlLlg3ZNvRa2b6Jd9bGkIOpOMG7Ju2v8AWh5B+0//AMEq/wBhr9ovx5rHxy+KXwI/tjxbrP2f+0dU/wCEo1O387yYoreP93DdJEuIokX5VGduTkkk+e/AT9iL4N/suT60PgX8Of7Bj1z7N/aY/te4uvO8kSeX/wAfE0m3HmyfdxndznAx9JfAaDx7A+qL478B/wBiq3kfZj/akVz53+s3f6v7uPl69d3tWr4/0j7Q5Om6b5rD7x87bj7vqfrWeIwv1fEujzJ26pprbum15biq0vZVXC6duqaa+9Nr8Tw/VLCGz4vJMsOox9PSvm7/AIKDaRoet+ArfT7mbbcz7/JXax3bZbYnoQBgDvXwrqX/AAVC/a/1f4Ztr+o/tp+Zr7Yz4X/4Vxp4/wCWwX/j5FsE/wBWBJ0/2etfoJ8bdG1XUPBtyLy28hU2YXerZzJH3B9q1hQjh7Tq2acb2Uot6ppbc1mnvFrmS3te5rPDvDuLqWalHmXLKL3va9nKzXWLtJdUr3PxZmieCUxSLgjqM11/jmL4Uf2ddReGV/0n5PIGZ/Vc/f46Z61y+p6Te6LfyaXqsXkzxY3puDYyARyCR0IqEgxjDDkVphccsNh61NUoSVTS8lzOOkl7r0s9b37paFUMWqFKpD2cZc/WSu47/C+j1/BEE1taxWkrFMPx5fJ9ealRS7BQKZey77dhtx07+9SCXCbNv61wv2fMlfReW5yaDRjBz+FTHXby7tLfSjdborbf9nj2Abdxy3OMnn1pkGfNG0ZPpXWar4y1bxT8O/B3gFfDHkr4T/tDN79tVvtX2qYSfcwNm3GOrZ68dK6sFRqVVJQk1dWsk3ze9HR27K8tdPdXWx14WnGpCpebi+XRJN875o+7ptZXnd6e7bdo5C2vrWKVZDLjGedpr9Bf+CcHgrwt4v8ABZ1/U7Pzzqn+sk8x08zy5LpRwGGMbR2Gcd68L+Dn7XXw7+E37MeneFM/2h4g0/zv+JR++i8zzL13/wBb5TIMRvu6npjrX3N/wS4/Zk1/4efAzSIfH8X2TWG+0fatN3JJ5H+lXe395HIVbcjK3HTOOua9pullWXxVHFJyqRjNqKd4yTi1FyjJpP4r3s1y6pcyPbx+DwWU4GjLDY1VJ1YRnKMU1yS91qLkpNcyvK97NcuqXMif4v8A7JOg/Ec6h4Xvfh9/aHh+88rbD/azxb9mxzyJVcYkXPXt6V6x+zT+yT+zH8G/D2py/s5eAf7KPiTyft5/tW9n+1fZ3l2f8fUrbNu+XpjOec4FY/7an7Qfh79jb4U33xFv9L/trUIPK+w6H57232rdPBE/74RyKm1Zw/I524HXI/PXxb+27+2d8FNOum8U/tdf2Z8QdO2fafBv/CA6dN5fmEbf9LSFoDm3kEvGcZ2feFRjMfjs0pU6mKjaVON4zenNFXWrm05XaduV3vz2i3e2FZ5nmuHVarHSlHScmopx96yvNrmk3GXLGLcm1O0XZ2+pviv8TtT/AGFv29f2fP2gPjZr3/CMaXpX/CWY1f7Kt75Xm6Wlt/qoFlZstcRr9w4354AJHR3f/BRnQP2+v+Ct/wAAhoHxm/4Srw/4R/4Sr+zT/wAI69j9k+1aD+8+9bwvJvktz97dt2cYB5+7r/8AsfxVaRWFve4lbdsHlN82Dk9cY4FcLrXj25+Afiq48/wV9uivdn2ab+0hFnYg3cbXPWTHOOlfOS4Xy7iLi3+3p4enLG+y9nBuEbwipaunKXvRk05JtS1jKat7zOmhm+KxmW1suhQpN1JKXNy/vFbl0jJysl7uqs95d9PY/EmhXdxok15fWe6Ztu5vMAz8wHY46V8u/EK1Gkyy32o2uxo9u1t+cZ2g8Dr1FfUvi+GEWknir7ViLjI2HjlU+vX2r5I/aAn1HWIAtjYbh/F+9AxzH649K9DDxniKipuVk9+lu61Z85Ti5yUb2ufInxh+CFr+1Fq/ib4ZWXiH+ypL77FjUPshn8nYqS/6svHuz5W37wxnPbB779jj9mH47/BH4v6/8T/F/j/+39U8SfZftl9/ZVra+X9nt54k+RJGU5WRRwoxtyck5rB+FNzdad8Zr2MwfvD5e5Nw4/0d+/0NfWX7PXxOg8URaelpY7JbjzcReaTjb5ncqB0Ga9eNSth5VJ04e1hBRj7zbUfdknomlZ+/a6aV9Hrd+nDEYijTmoLnprlTu20nyySdk0us7XTtd2erv9Lx/EXRTdWemJrOZrjzPKT7O3zbRk87cDivh/8A4LgfDyzn/Yg8V+NJbTzpNP8AsPkXPmFdm/UrCNvl3c56cg19vr4z8IeCrjTdN8Ta/wDZ7nUfO+xx/ZZH8zyxl+UBAwGHXGc8V5L/AMFCv2nPDn7OH7MWrftH2Phn/hJl8P8AkbNI+2vZfavPvba1P70xvs2+bu+4c7McZyPI5JQ5ZQjKEWn72tmmpJ2slpa6er6+h51pwtKKcU09e61T7abr7z8nfhL8HfGH/BSz4seNvBvg/wCOv9jeBdO/s3z7z/hGI7j/AFkDuvyO8E3+vtWHBP3s/dHP6i+G/jR4a8VyXh0LVftK2nl7/wBw6Y3Zx95B6H8q/OX9tr/gsn8bf2gtc034IR+H/wDhSmlW/nf8Jh/pdt4k+3blguLT/l0RotjR/wDLNvm8/wCbhMHy+f4//GzRvhV4p+Jfwj/bS/t5dA+w/wBp2X/Cuba13efP5UfzzRnHVz8oP3cHGQa93Fy/tfD1a2N5liIOUeXmj7qi3JrkqVPaJRTcVGMVFcvV81vrMbTx/Ef1jF4q/wBYg53i5xTiot1JJQqVPaWgnJKMY2Sj1lzW/VTXdftPFkz2t8d/lY55HXB7AelfHX7dnwmf+ym1EWuBFjnf1y1uP79fRnwh8HJ8UPBNp44uZP7NivPM2RY87GyR4zyCvdM9O/tXKfthJompeDprG14RtuJfm7SQnofpivKxmV08Hifq7q+9GTjLT4WnZ7Oz1voux8zicGsLiHRnL3otqWmzTs/J9dj8cNQ8PavpVw9rqNn5bx43r5inGQCOh9xVWQvGfLPGO1d/+0Jo8uneI4ZmORNu2j0wkfv715+IyR8vJ7j0rjxlKlh6zp0LtK2r0b0vtZP+rmFaEKdRxhdr+uggUnkCi/u7ie0dZZMjjsPWlBKnYV5+tRXjbrc8en865ef2cbRb13MbtLRlq3e4jCuDhB34qSXStQjge6MGEjxvbeOMnA71UwMZz+Fdf4U+JcXhmxvoP7K89rrysfv9uNpP+yfWvVyynl+Lbp4ys6cUtHvrZ9Ld0tPM7cHTwlepyYipyRs9bX6PovOyORwxPSngxmHaPvf/AF60tY8TDV9budYNl5f2jZ+78zO3aoXrgZ6VS1i/Gp6jJfLHtD4+XOcYAH9K5KtPCUVN0qnPq0tGrx197y2Wnn5GFSFGDlyT5rOy0tda6+XTTzKxJPU16H8AP2evi38fpNYT4W/Cr/hJv7H+z/bj/blvZfZ/N8zZ/rpE37vLfpnG3nGRngbK1mvbpba3XLtnAyB0Ge9fs/8A8Gtfwb0/Sfhj8Tvih4i8b/ZY/Ff9i/Zbf+zC+z7NNq0LfMr85yDyq9e/WvjuMuJq3BHCmJ4hjR9sqHL7rtZ81SnS6xndp1E7KMn10Suvf4UyqGaZtGNaMnSipSnypNpbJpOM7+/KKaUZNJ30Suvx28b6J46+Ffia7+Hfjqw/s7UrDy/tNn5sU2zeiyr88ZZTlXU8E9cdRivt79mDwH4R1fwJp2q+AT5ujy+d9jm/eLuxLKH4kYOPnDDn8OMV/SX8SfBf/CwvBV74P/tL7H9s8v8A0jyfM2bJFf7uRnO3HXvX89Hgz9mjxx+w/wDtF/CD4B6P+09/wmfhXxr/AMJB9s0v/hCotO+y/Y7RrlP3jSSyPulnLcMuNmDkNgfnfhT43YTxVWIpTw8sPUpOKjDnlWTjJNpufs6cYaRkkurWi1KxeQVZZdVx+GblTpStJO16cZOKp3ldc3M3Je7HRxu0lJW998A+F00+08u5Ty27nOc8t6H3r5j/AG6/29P2UfjF+yN4t+Fnwz+Lf9pa1qf2D7DYf2BfQ+d5d/bzP88sCouER25YZxgZJAr7YuINK8NvGt7PiNs4G1jj8s+tfnDD+xP/AMFAJ/2cB+z/ABfso5z01f8A4TrSv+fz7T/qvO/4D9/39q/dMLhqE4zliJ+zXK3H3XLmkrWirbX/AJnoup42Cw2ErKo8TW9naEnH3XLnmrWhp8PN/M9FbU8g+L//AAw9/wAKv1b/AIVP/wAjL/o/9lf8hP8A57p5v+u/d/6vf978OcV9W6HO1t8Ypbx7nDLt+bZnObcivrz9p7xFB4L8GR6Zqem+Yuq5xP5xHleVJEfugHdncB2x718pfDr4a3vxU8ez2mjTbGk2/wAIOMRMf4mX+4a+0o5Vhs15Mxx3Jh6LfLeELR0UtbXerenyXkfT1qVLPatPHYyFPC0X7l6VO0W1zO7Sb95vT0SPr+fwXNqvhxwlrukfGPnxnD/X0FfO9h+35+y78P8AX9T8GfGX4y/Yr+28ndb/APCO3sm3chk+9BAVPysh69/rX2xY/DWODTY9QhH73nNt6fNj727HTmvzF/bQ/Yj/AGu9Q+LvxTt/h38Ev7b0Dxp/Yf2DXv8AhJLC22fZLeAv+4lm3nMgZOdv3dwyCK+bw1TCxwNXDyknJvR2batGTsrbc0lCN72SbbT6fOYX6pKhUpVZWb1TtfaMny2Wt5yUI817RTbaa2+t/ir4EstVWRbW3z0x85/2PVvavlP42/CIW00qtBtK7fl3Z/55/wC3XvH7f/xY8cfBv9lzxB8Q/hvffYdatvsn2bUvKil+zbr23ib93KrI+5HZeRxnPXBr4N0v9qX9pj4w/GCD4R6P+0x/aem3u7yNb/4Qyyh37LczN+5aJWGGQpyw6Z6HFc1HC4itWhSa5nJqMVzRTbk2lo33Tu9EtLtXV8sNgsTi6sKVNJylKMUuaKblJtLRva6s3stLtXV/Ivi5o2qaF42uL6aHZDcbPIk3Kd22NA3GSRgnvXOvp2oTxJqEkOUnz5b7h82ODxnivQfFl1qHjP4NWfjzxXL9p1GbzMXe0JnFwI/uphfuqB07Z615tDCkhO6Xbjp8uc1zqEoWpVIvVJpXtvqnqndOOq23WvR87i4e7NPZO22+qevRrb1GwuElDE4xV7wzDPd6tHZW67mkz8uQM4Unqaz6mtJfslws+3dtz8ucZ4xU4OqqeIpyl8MZJv00v+HkKjJRqxctky94p0q+07UCLuDYH+584OcAZ6H3rNhhknkEUS5Y9BmtHV9cGsWNpYtbeV9k8z5t+7fuIPTAxjFVbPSr+9kVbSDeWzt+YDOPqa6cbTpYjMJPDJzjJp+etrra+juloa4iNOeJfsbtO3rra626PTYjezuofvx4z7iioqK89ypX0T+//gHM+UvXFvbixM6xYP8AvH1qkWBPIokjeJzHIMEdRUthMkFwJJGwO5x7Gt5zjXrRi0odHt9/QttTklawss9q1pDFDZ7JE3ebL5hPmZPHHbHT3qCpr6ZZ7ppEbKnGDj2qMMAuAeazrS5qji3dLRWSW2nTvb57vUU3eQtvD577N2PwrpvhxN4O0u61EeMPhF/wlYfyfsp/t+Sx+zYDbvuff3ZXr02e9czb2813MLe3Tc7ZwMgds96kvNOu7AJ9qh2b84+YHOPp9a6cHN0Eq/suZRersmtVazUoyj1W6flrZnTg608LVVeME+W+8YyWqtqpxlF79U+61sy/43t9Pj8W3z6T4O/sC1PleTpP9oG68j92uf3rctk5bnpux2qlY3dtBHLFcWfm+Zt2nzCu3H060/RNMuda1GLS7KDzZZd22PcFzgEnkkDoK9L8Dfs56teNbaj4gbBO/wA7TsL/ALQH7xZPo3H0rSMatbESxNGNo3d9E1FSfVKKilrZWSWmiVhTlUr1p14Rsm23orK/kkopdrJLslseXXCxSP5sMexW6JnOPxrRtPEmszaaugLebbc5+Xy1P8W7rjPX3r6g8NfByfT9KTTtNs/Kgiz5cfmBsZYk8l89Sa4vxj8E7KfVJdSjT7PqEm3/AEzJfbhVH3N+05Xj8c1WHr1aWO5KMmuZqMuXS6bV1ZPbsvyJpVKkK1oSa5tHbqnutOg39kv4H2Gv20Hju5bz7iXd9kGCv2bBmjbo4D7gO447V7evwqvp797E22NuN3zjnjP96vTP2Bfg9ocMhSCz8jTLb7ieYzY3faM87933v84r6G8U+GfhT4X1eO78R33kCbPkjyp23YUA/dJxjI61eKybEYPMfqi/eS/uJyvpfTrp1NcRgKtDGPDp88v7ut9L6fqfmR8ZPhjaaxZm0u5PJmi/4958FtmShbgMAcgY5r56tL65sJhcWcmxx0OAe2O/1r9Cv2r/AIXeHbDw/pniPwmP9DuvO8tvn/heFTw7Z6k9q+Y/D37PXhS4vZ7u/sfNgl2/Z7bzZF8nAIb5hJlsnB56VtjY+2zBwwkXGUG4635m03stWm+yejHiI82K5KMWmnbrzNpvprZ+XRniv2m61GeS6uZ8u2NzbRzxjt9KgnCiQhVx+NfV9n8OtM0HRF0Xw5a+TBDnZHvZsZbceWYnqT3rktU/Z70vV5pdav8AS/MlfbvPnsM4wo6SDsPSuHG0sVQioV4tSbvd3v36rfXU560K1N2qJp+d7/ifPQJByK0bHWreytVhfTvMbnL+cRnn0xXUX/wP8R2V6qacn2+JM/aGykWzI+Xq+Tk56elct4p0+Dw7qbaPdw+Tcw48+PcWxlQw5GR0PatsPhsywWF+vRXLF+6m1o35XVns/PR9jWFDF0KH1nlai9E2tH6Nq3R/cxVjm1SPzZ5/mfqdo7f/AKqi0jSRql0Lcz7M99uexPr7VUSYPECjcduKdFLLA2UbGfasfrGHnVpyrR5v5td/6Zipwc05q/fXctavpy6TcfZhJv8AVsYzwD7+tW9N8NfbrFNTN7t35+Ty89CR1zWTK7SuZHOSe9elyy+AYf2eDas2NfH8OJf+fvP+5/q/85r1cqwuEx2JxM5RShTpymk21rG1kn1b1/4J6WW4ShjaleUmoxhCU0m7X5bWin1b6I8uuv8Aj3b8P51O8sqvjf8Ajim3IV7GVsfd2/zqxf2GoaHqD2d5F5U0WNy7g2MgHtkdDXg+yqQjzq/Lpdrpe/yvo7ej8zyuSfLzW07/AH/5P7iNCWieRTjbjI9afdCE2cEiQ7Xbd5jbid3PHHat34T6v4c0nxpat4yuPL0l9/235HOcRvs+4N33yvT8eKZ8Vb3wnqHjm9vPBEu/TX8v7O22QZxEgb/WfN94N1/lXovD0ZZP9a9rHncuRwdub+bnSve20b2Wt/n3fVaf9l/Wvax5ubk5L+9tzcyX8vS+muh7r+xj8ZE8G2tl4V1KP7K1z5n9mSZ3/atpneTgIfL27h94854r610T9qHULTRp/t6fa2Xb5UWRH/Ec8iL6H8K/M7wdrttaXX9ja9NnSLr/AI/odp+faGZOVG4YfB4P14r37wn42kuoT4c1nxJ/aN5p3/H/AHH2Pyf9YSyfKq46YHBPTnrVZVWwMa8aNaClGUoXcnypa+97yu0mt5LZa2FgJ4ZYiEKsVKLlG93yq19byV2k1u1stT6Y1z9qSHUN0N9YeW4x8nm59O4i9q8o+M3xv+JWtePfBHhf4VeNf+Ean1r+0v7Rvf7NhvN/kxI8fyTIAMAOPlI+9k5wK8w8USeKYzb3fh24+2/Z9/mafsSP7ZuwB+8b/V7OW/2sYo8J/Cfxlpn/AAjM3gnx/wD2Xqfhv7b9kvv7Kjn3faM7vkkfaPlLDnPXPBFd0ZYShnFa+lOMk+WNR2lDmXNCM24t80LtPd2Vt7rtpSwFLOJOqrUYzTcYybvDmV4xk3Fu8b2d03ZbXuvdfgR+0T4v8b/s/wCj+M/H2tf2jrVz9o+1XP2aOHzNt3JGvyxxhBhFUcDnHrmvOP2m/iX4t/4VtqHiPS7vyJYPK8uTy422bpolPBXByM9q739mD9ns2PhG18HPqX2+LTd/nXHk+Vu8ySVx8vmcYPHBPSvbvEv7Jfw7+IPhs+CPEekfa7KT/j6t/tE0ecOJF+ZZQfvKDwe1efVwkMHU9jUjJVErvS1rx0vr/NbpqnfyPNqUPq8/Z1E1JbpqzWnr3/DXyPCdN/4JQfDnUPgokf8Awm+zxA+f+Kg/s2Y4xcn/AJYfatn+rGz/AMe619bf8Euvj/47/aA/Zv0zxD8QLv7T4h/ff2nrflxJ9s/0y7WP9zHGiR7I41T5R82MnnOfN9a/4JH+DvDdz4Z+Jv7Nvjn/AIVd4l0D7b9uvP7Mk1v7f54ESfJdXRji2RmUcKd3m5OCoNen/sJ/AGf9kz4TxfD66vvt7x7vO1XyhF9qzPcSj90JJNm3ztvB5xn2Grq4evTrucYx5Y2glZL448t7crm1HnvKSk3pd7NfUZ7m3Dma4WDweDWGnCLjZS5lK0ocjb91uVvaczcW3eN5P7PcfFX4IeKPFXimTWrf4lfYonxsh/sZJNuERTyXBPIz0716NfX7W5eYxbtmMHdjrWVa/FHRpr1rE3PzrjI2N6Z/u03xZrZl0WWGCPLSbdoz6MM9q5auYVsdGjQrNctPRaRWjtu0k3t1bPl6uLrYmnTpTa5YaKyS3tu0k3t1bPB/+Ci/wsTXPB1l4ltYP3tv5m47uu6S2TuwHQelfInhrV9V8MlFu7bcoztG9Rjr6A+tfop4+8KX/jvwdcaVqUPyts2DcOf3ik9CP7orwLxl8FNO0q3GnXC7FH3OSe6k9H96rAujQx6dSPtEr6KTj06Naiw0qdLEJzjzJdLtdO61OZ8C/FdHgD3U2CPujb7t6LVP4i/H6PS8mGTdt9sY+7/0z968J/aF+BuiXH7RXw48B+P9H+1aPqP9sb7f7QyeZ5dpHIPmjfcMPtPUZx6Zrxmz8Q+Mfgd4X0L4ffFTwV/ZNrL9q8nU/wC0o59+H80/u4Q5GDIi8nvnsRRicqrxoPFUvepJ2ckm0naL95q6XxpK71aaOupk+MWXfX6a5qXM4tpN8rSg/eaVlfnSV3q016/UGq/tv+FPByQP4t1v7H9q3eR/o0km/bjd9yE4xuHX1rq/EP7RtteaXlpOT14PPzD/AKZ18T/EDSIbO1vo7mL7Lban5X9p6nu3+T5ZXy/3YOWyfl+XGM5OadB8avDFvoqWt/41+33S533H9mvFvy2R8oTAwMD8K8xK6avseUbH7U3xFt/Elq1rNNiW4x5a7TztMJPO0Y4FeFVpeItYXXrgak1x5sr/AOsfZtzgADjA7Cs9TIoyvQ1rWoRo1nBS5l3Wpc4qM7Xv6AiBiMmp9W1/UbywktZJv3b43rtHOCCO1UXvYgnytn2xXV/Fv4Q/Ef4SR2MfxB8Ff2R/aXm/Yz/aUNx5vl7N/wDq3bbjevXGd3HQ1rReJWFqSotqKtzWvZ30V2lZdd2r3sdFGhjJ4apWpRlyQtztJ2XNouZpWV3ortX2RzW35tuaSjljSjKc9D2rj0ZyHUfBHxPbeFPijpmszfEb/hFPI87Ov/2Qb/7JugkX/UYPmbs7OnG/d2r71+PHgP4m/tJt8Kf2jf2SPCX/AAnuk2H9u+f/AKfDpe3f5dqv/H6yMfnim6If9X6MpPxp+yVqfxQm+Ix8B/DL4lf8I9ceIf8AXyf2NBd+Z5EM0i8SjAwN/QjO7vgCv1H/AGV/hX4S/ZL/AGd9G8H+NfEv2yPw/wDaPtGrfY5I93n3czr+6jaTGDMq8E9M8dvXwjxGFdGphZN1HJWSUZPmjJOFlzSbu0nZxWtlaSZ6uGcsLPD1sHOTrc17csXaSknDl96Tld6tOEddFzLUb/wT5/Z68e/DL9k7w58Mfi1on2DVbL7Z9t0z7TFL5O+/uZU/eQyMrZR0bhjjODzkV9kfs5/CTS/B15ca1o9r5D3Gz7S+9m37RKq8M5xjcegqr4CgtLyVbeNeOd65P+0RzXsmj6bFplmsEY9c/mT6+9ea8RW5HBSai7adHa2667I832k1FxT0Z8veOv2dvAnwito/i94avfsesx5+zXPlyybMlYW+V5GQ5RyOV7+vNeZ/EL4m+KdZ0E28XiLyHuOkv2RG27XU9Noz0xXt37buv6bqmhSeFLLU/wDS4ceZD5LcZaBxyRjoM9a+f/D2ha5qFvLbyHzGTbsPyjGSSe/tXuVcwzGrWp4zGe+o7KSW3TVrVXfpv3O+pjMZVqwrYhufLa3Nrp0Wqenlt955x4x8S+NfCuhWOs6Jq/nTp5vmzfZ4135ZVHDAgYBI6V3Hgz9qbwL4qEGm/Ee1zcPu3S75fmxuPSKIAYAUf5Nd/wCEfg1DrlzLY6kMeTtzHzxkMeocegr4a/4K1fDv4SeBPi78LpfHLZ8PXv8Abf8AaBxcfwW9n5f+rYv/AKxl6Y9+KxljMTjsZGnGcaSnLd2io8z3bSVoq9/JbLQmnKpjcXGmpRhzytd2jGPM920tIq+vZdD9PdJ8R2cNnvtxiN+/PYn1FeJ/GPxb4tuvG7R6J4y+xRLjbD/Z0cmP3Sd2GeuT+Nfm3+yw37NqftufDFvgO2E/4nX9sHF5/wBA2byv+Pj/ALafd/HtX2jpOqaje+PpYLT54/lx0H/LInuK68Hh6eT5hJyqQqcul42lB3Sd02raXttvc6quGWT5jKm6lOry/ai1ODuk9G1Z2vZ6aNNFT9qf4TeIP2r5PAXxi8KfFv8A4QHUfBv9qfZ7j+wU1XzPtfkwN8rvGowsJHKtnzO23J+afDPw18f+EfjB4f8AizY/tK/8JVe+F/tf9nRf8IbFY7ftNuYZOSxB+Vv4lb7nGM5r6f8A21vjXDZeCLf4a6Hc5kvd+9tn3dksEo+8nPGe4/pWv+xD8PfDOiRCTXoMk/c+Z+P9fn7rH1FRWxFelB16PuUnO7p8zafK4tcyejWqSunsyXj8ZSw7jSm40ZSu6fM3FtOL1i/df2Vdp35fI+Dv2Sf2fvi18Ofjj4N8RX3wk/sGfw3/AGj/AMJF4h/t6C6+0/aLaZbf9wJGCbQ2z5Ac7tzYxX6Z2XxHgkEV1BDtSTduG4nGOO616X41+HfhjXLcXWlJ8w6cv6qO7D0NfG8n/BRP/gn2wCJ+0DgL0/4pTVuP/JevMxOKwlWjGFOnytdbq/wpfZjHT3b63d222223x4nEUq6iowtZL+XpFR+zGPa+t3dttuTcn+mXgLUx4l8E2N3HLtM/m7m25xtkYeg9K8y8Z/CFoNQF3JF5nmdW3Y6BR/fr1H4NaPB4X8B2Wl3HEn7zJ55/euexPrXU3MFrewbJOV7Hn1rgvoro4z5U8WfCCzurKSK9t/3cmNw3nnBHo9fCX/BQv9inxv4u8QeBdU+Fnwd/4S7TtK/tP+39O/4SGKwx5qWwg/eTTBvvK7fJn7mDjIr9NviHJb2rOJDjplOePu968W8b6nZT2EyibcDt3fKR3X2rroY/G0KbhCT5LptPWLs7q8WmmrrZpp9UdNDFYigrQlpdNp2cXZ3V4u6a8mmn1R+NXw88DT/tRLc6Lo2tf8ItoPhPZ/YmjfZhfeR9q3NN++Zo3bdJEX+ctjfgYA58hsriREWYH5xnmu8/aB8IX3w21y0+DVx8Qf7dtPDXmfZI/wCyRa/Z/tCxztyCxfcW7scbe2cVwrW7Wx8pk27e2c115ljKGJp0pU4NVIq853+JtJxSgrxgqaXJFRteKXuxtyr0M0x2GxlOk4QftUvfnf4rpcsVBXjCNNLkio2Til7sfhUd4wNuwK+mDn3qQAO+AMZqK7BFu2R6fzqU5ztFeSm27yPGLGnxC9uVSc5UZ4/A+lew/ss/E+68Gyj4f+CvgN/bXiDU8/a7r/hKBbfavL86RflkUom2NmHBGdvqcV4xJKXwC2fwr0H9lDRfE/iH4/aBo/g3xn/wj2pTfavs2sf2cl39nxazM37pyFfcoZeem7PUV6uAzatlVdVsM7VFf3rRvZpbc0ZWelrrWza2bPVyvN8Zk2KWJwj5aiuuZqMmk97c0ZJPpda2bWzZ+lv/AATq8J+IPA/7LnhD4a+M9A+x6lbf2h9qT7UkmzdfXMq8xkqcqy9D39eK7/4jaZdeH4YUtXwJd27gdtvqT61rJPcWniZ7q5k2qmMvgHGUx0FexT+CND1CASQfPt6L8wxz/ve1aVqeGwValXjC8Gr2bv8Ae7WvqtkvRHNNUqVSM4xvF62bv97t+i9D4p/a/wDHvxi+E/7LOs/Gb4eeP/7LvtO+z+Uv9lW8+fMvoYD/AK1WH3Xb+E9fYGvCvDPws/aM/a/+Hvx4+G1zq3/Cd+MdD/4Rf+wJPIs9L3+dMZZ+A0cQxDD/ABk/6vjBbB/Q74t/s7+B/i74E1H4X/EPw9/aWiaj5P26x+1yw+Z5cqTJ88UiuMOinhhnGDwSKpfslfsXfs//ALOHim71X4M/DP8Asi5v/L+03H9s3dxv2JMF+WeZwMCVxxj73sMRLM4yjUUYuDlonH3fc99uElHlU1JuN5Su0o9VoarHR9jOCjyyeilHT3ffbg0rc3M3G8pXaUUldaH5d61+wR8efFto3hHwP+xH/ZetXuPsN7/wsq1n8vYQ7/JJOEOUVhyRjORyK/X74tfGjwp+z18KdT+KvxV8W/YNC0/yft199gkl8nzJ0hT5IUd2y8iDhTjOTxkj6Hg0vSNGtY9QMWyQZy25jjnHqfWvir/gpX438C/tLfBbX/2Zl8W/2TNrH2Xdqn2CWf7P5Vza3f8Aq9qB9wi2/fGM55xg3iMzjiLv2STaV7RhFaN20hCC66t6vvayRi8weMlzShFO1vdjCK0b6QhFdd9X52slxv8AwR//AGxPiR+zv+wz8PL/AE4/2hpWj/2vs0j9zF5nm6neg/vTC7DDSlu/THA6XP2Rf+DjL4y/HHT/ABTZ/Gn4Of2/p9j9h2WX/CQ29pneZifng09W+9HGe/3cdzXyfq/7LH7U3x60qf4f/EX9p7zdN1Lb9ui/4QqxX/VsJE5ilRvvRqeCPfjIr2O2/wCCO37PPiK6SXTvhh9hhOcr/bV3L297sHqD+dfC5j4YeGVfNJV80yqjiJVNakk1Cbs5SXLVoylKnJTblKcJRnUulO8VE/R8x41y7BVsDRw2HU4UKahNv2alNxXLFxlD2rp8rXOnGd23Z6JN/M/7bXj/AE79r79sX4zeMdK8Of8ACJW3iT/hHdmnfbDf/Zfs+nwIf3hWMvuMJboMb8c459X8T/8ABQz4n+Mf+CTM9t4k037T4yudvneMvOgTdt14Ef6ItuIh+5URcem/rXv3gP8A4JK/CP4b/al8H6R9jku9n2g/aLiTft3bfv3TYxubp61yEv8AwRm/Zy0mdnufhp9rRcfJ/bN5H29Ree/6V71PAZBThRpQwzVPDW+rr2tS9Fwf7p89+ep7P++3zv3p3Z8xl3F+Ky3G46vRUksRGoklUa5HOTcZXteUoXdno9W7q7PRvgnoE/7EX7LPh34Iw6l/wkq6Z9rzqXkiz83zL6S4/wBXmXbjz9v3jnbnvgO+F3/Bdn9i7TdAGk+JvG32Mwf6r/iW6jJv3O5P3LLjGR19ad8VdQ0XWdITTvHWg/aWtM+Qv2pk27mQt/q8ZzhevpXwV+yd+1T+z58OvgLoXgn4geO/sepWP2rzrX+y7uTZvuppB80cTKcqyngnr65r7DLpZNisBDDy5YS96UpTvunFRUbVIrVN3uumncrhzLskzlLCYivDDySlJzqbXTioxj+8grtOTd100T3X6iw/DD4J/tc+G9J/aY+BPiL+2tD13z/sGs/ZLm2+0eS/2R/3Nw0bpteGROUGduRkEE7+peC9P+HOkwxR2e+T5sfvCP4h7t/erH/4IbxxQf8ABLf4X3sowB/beW/7jd+Ole+ahfeAtXguNUt7/esGzzD5Uo27iAOuM9K+elXxWLanVbmopLroui8l5HyUqlatZzblZW9F28keA2nge58QRx6jNBs35wNwPTj+8PStG58ORaRpzTRfLLxz1xz9T2NdB498Y6Fqlwll4TvvMa0z9qHlMNu4KV++Oeh6V5h+0b8Rfhx8KPhlqvxF+JWr/wBn6Jp/kfbbz7PNL5XmTRRJ8kSs7Zd1HAOM5PGTThhYc8XUly3e3VK/W7XQFTXMuZ2ufH/7QX7cPwy8PeJX+GnxJ+IO+4ssf2ppn9kzDG9I5Y/3kUJHQq3ysfQ9xXwX8fPG3hbxv8U9R1/wjffaLG48nyH8p0ztgjVuHUH7yt1HavqX9nz43/APX/2xPHOp6X4m8218Rf2Z/wAI2/2K6X7R9n0+QXHBQFNpB+/jP8Oa8U/b+8bap4v/AGk9X8Pwat9o0bRPs/8AZEHkKnledZ27S/MVDtl1z8xOMcYFfX53jvb5P7OgkqSm0uSDS5lKVlJqo48zh71+TmtZfD7x+hZvgaEuCoY6nWjyuq4KnCOvMnOzm/acqbgr39nzWcF8LueLeV+583d+GKhuSotnBXJOMHPTmrT2FzBMYp4sEdRuH9KqXX/Hu34fzr4apCdK1426a/jufnLTi9VYvy31k9kbZNN2yHpN5xPfPT9KqgljgmhDtbOaFIByadStOtJObXbZLT5W+/cJSc2rjpCV0y6QHrsz/wB9V9h+AfCWm/Bv9q+98Pfs5/sof8JHr3g/y9mo/wDCdNZ5+12DMf3d0WT/AFbyr1b7ueCRXxvdbWjbc2Bxzivuv9hLx2JvjB4n+J9h8bf+ErvtQ+xf27e/8I39h8ny7e4ih+QrhsrkfIoxsyeua+jyCh9flPD2j8L39nzaRqSShzqUruTjfki3bVtaM+v4Xxbw8KvsVFVouM4SkqTaUI1ZWj7RSfM5um/ci37urjoyTx9ptrD8XPA3hb9tf9gjy7HV/wC0/wCxYv8AhaRPm+Vbq83NgcrhvIPzEZ7Z+avf/EP/AATU/YE+L3wL8A/EH4Yfs6f8IRe3/wDav9tn/hL9V1L7dsuhHD/rblRFsVH+6Bu8zn7oNeueKvgZ+y/+3LZ2UHxv8C/8JVL4Z8z+yB/ad7Y/ZvtBHm/8e7xB9wt4/vbsbOMZOfBP2iPg3/wQN/Z+8Zn4QfEDwt/Y3i3R/wDkYNP+3eKbjyvNjjng/eRu8TZikVvkY43YOCCB5GcYermOYUMROTp4ulU5nOc5OMqfsZw9nUoO1KWs1NTnCUk4wS+GMo+1guNcP7ZyzrAU8TW5r88lCm7ciSUuWl7ySvbmvutPdTPpv/gjf8QW8Gf8EnfhzeppXnm2/tjA8/Zu3a7ej+6cfe/SvpXxf4pOvWIttRst9qP9db+ZjzOVI+YAEYIB461yv/BPeH9mlf2SPCNx+yav/Fv/APT/AOwDm8/5/wC5E/8Ax+fv/wDj4877/wCHy4r1vV7rwss8E+qv86b/ACDh+Mgbun4damjVo0ZpKF5JvVN6+n538/I/OoyjFpJarqeaReL08PaOunaBo/kRjOR9o35+bP8AED6n862dU8MC60O6s45PLkl2bZsZxhgemfwrpJfGng5Xk0+HVdpgxlfIkO3PPXHNZvjDQdU1KS5j02381ZNmz51XONuep9jWrkqmJjJx5Hvd631Xcpu807W9T4z/AG9/2jfgv+y54WtdH+Keu+Q/ijf/AGbZfZblvtX2Z7dpPnhjk2bfNQ/Ntz0GecfCf7Df7C/wI+OvwF0zx5468OfaNQufO86X7ZdJu23VxGOI50UfLGo4Hb8a90/4K7eN9S+GPx8+B/jX4kan9hs7L/hJcXPkiXZvtbOP7sSsTkuo6Hr9a8F+EvjH47/tW/FTxTYfBb9oD+ydB0n7D9iP/CKWs/mebA5f/XiNxh4ZOuc54wAM/RyjReDlKdanzczglaE5axhNzaqSUeW0eTmSTu7XeiP0bhTFcNZXRljs2Ua3vSpqlywk/ejCSqPnmkkuVwuop3duZ6JfXv8AwQ01X4teCvHPxA/ZU1r4of2t4Z+HP9k/8I/B/YkEHl/2hFf3k/zKDIcysD87vjHG0HFfoxf+G0l1FL/OCudp+oA9a+Cf2Urn9g//AIIufC+z0H4v/GD+z/FPjbzP7V8Rf8I/qkv9tfY55mi/0eD7THbeTFfJH8pXfnccnO37Y+BP7Qfwq/aP+F+nfGr4R+Lv7Z8Mar539n6n9gnt/N8qeSCT93NGki4lideVGduRkEE/I4m06r5Icq1st2k3da7vRpXe5+dYupRq4mc6NPkg23GN78qbbSu9XZaXer3Ou1bS9P1QodRtvNCZ8sbyu3OM9Dz0FS3VvKdPa0sZ/IbjZJt3becng9ahl1nSmAK3Py84+Rv8KdYlzGpT7vOKx99RV+nc59SLRrC8s1la+1H7Tnbs/chNvXPTr/8AWql4s1C3sbV9i7XfG9sk9CMVY8R6nYaNoFzqWtT+Xbx7N77ScZcAcKCepFfmJ+1l/wAFEfjX4W/bB+Inwk+EHwZ/4SzSvD/9kbLn/hIraw8rz9PhmPyz25ZsuXH3jjZ2BAr0MFl9XMajSbTe1oyldqzslBPW15bbJnbgsDiMxq+zpJuT2SjKTk1q0lFPVK8vRM+nfihN4dk1OQNpGWGMv9ofn5U7V8r/ALXH7dHwD+Gl5qfwk1j4nfY/Eth5P23Tv7FupNm8QzJ+8WBozmNg3DHrg88Vy/xR/bV/ae+EvhO7+J/xV/YO+x6Rpvl/b7z/AIWjZSbfMkSJPkhhZj87oOFPXJ4ya8t+L3xZ+D/wa/bw+L3/AAs7xH9ga6/4R/8As1vsdxLv26Wnmf6pGxjen3vXjvXXl31SvmFKFSquVbymrx0TaTUpR0bSW6376Ht5fkdVZ5RwWZy+rKV3etFxSSUmrqbhdSceXda6b6Hxn8TNY0DxF41vdW8N3/2i2l8vY/lOnSNFPDAHqD+VZIEMsvlNFyf4t1elfGWwk/aB+O/ijxj8HYv7X0s/Yttzu+z/APLqiH5Z9jfejcdP4fQjPnGsrp82syLo4zbnHl9f7oz97nrmli8NOlUnXUF7OU2otJqM0nJNwvzKytZ2btdK552aYGWExVWUbOnzyjCSVozSk1zQ3Tjp0k7XSuZ11/x7t+H86kpNQ3fZzu/zyKcJYYJFNw2FOex/pXhuPv2PItqPtnWOUSMm7HbOK6Tw94v8PaNaFNT8H/bmfo39oPFtwT2AOeo/KsS+l0uYwyWjZQ7txw34daqzmLdiHpXr0MXiMpnL2MotrraMt7PaSa8jro4irganNTab9FJa+TTRdlttd1HRL/VbGD/QrDyvtTbl/d72wvXk5Yds4r9Nf2Tf+Cc/wV8f/FXxD8Sf2z4v+FtSXP2T/Rt1zoO3bBNF96xuBn7sB6f8sf8AbY1+Zn/CQz2Xg+80C2vNqXvl/aovLB37JNy8kcY68EV+yn7EX/BOD4WWvxP/AOEe+G3wa2pqX/IQh/4SKc+Z5cE7R8y3HGPmPBGe/avA4lr5Xh+HsXWzHFezgqTk6kZWnBJNyUffp+8/hT54ODalF3sfp3hlkuXZniMRXx9GFWnSjFuU5tcilGpe0bOMttXJx5LKUdT5U/bl/Zo/ZS+Hv7SWk/CD9m/9iD7VP4i+0f2bov8Awsq+TZ9ns7eeT99dSEHIaV/mYdMDPAr3v9gX9nf40eGfjb8R/wBpH9o/4Lf8Ite6t/Y//CMW/wDwkdtff6q2uLW5+a1kI+6Yj+8Qff8Alzgmov8Agrn+zIv7PH7Sf7PulWPgj+yH1P8A4Sv93/aX2jzPLs7M9TI+MeZ7Z3d8cfVug3PijVdaZZYsaWcbhuT+6f8AgX3h/kV08L5tleccGYLH5RXcqElKClJxc5qlCFOcpVFKpKcqjlO6lUn1Tb1OHjqtSwmNqYfLpwhh3JWjTjCN+WjDVziuad/bVF7za376b3h/StefxLpusWGpfZLay877ZZ+Ssn2zehVPnJzHsOTxndnBr06++D/w9+I0EN54y0D7XLDu8tvtUseMnB+46joq/lXn/g/UvC5v49Psb3a8+f3flud20MepHFe0eG1hi0xF3568Y6fMa6ZV8Xh6kZQbg0rJr3Xa76rV6t6tvTTZJL859rWpSTi3FrZrR9eq33/TYwviBEJfCzabb3H2eKTGPk37MOp79cn+dfNXxPsNPaFwY9wbHOSMfcr1L44eMY/DmjDTrCTYU+4MZxloyeoPqa8A8Y6694HnifJ47f7vtWUnOLsn1Zm7o+XrXU5dH+PGp/2W20jycnGc/wCi+4Pqa+wvgRpHhPw1qVpHo9n9leDzPKPmSPt3LJn7xOc5P518R3MaXnxv1RZxn/UfL/27e1fWngHWItFt4II7jy2Xdldme7d8H1r6fNpOlltB0tHOK5kla9opJu2+l3qvtPV3u/Xx0rYWnyacyV0la9opJu27au7tdXq73PrnWfB3hbxhr3hvUdY0zzmtvtnkHznXbuUBvukZ+6OteU/8FDv2X9G/aL/Zg1j9nfT/ABB/wj66/wDZ/J1b7I139k8i9trk/ujKnmb/ACivLjbuzzjBrfEb/goT+zP+yr4K0m3/AGkPip/wj02vef8A2F/xI727+0eRIpm/49beQJtE0X38Z3cZwcfmn8R9R/Y7/bj/AG6fjL8Z9Rm/4Sjw7df8I7/wjepbdQst23TFguP3YEUgxJbhfnX+DK8HJ8fAwxmY1aeGpXk9Uo3b/mk9Fd9Xsh5JleM4gzKll9CaUpcyXM2oqylJ7JtbPpuzW/a0/YQ139k/9kb41eLvF3xs/wCE01LxF/wjnm3P/CNrp3k/Z7+FB8qTyK2VmUdBjZ3LcfP37UujeAv2dfhhdfDX4e+DvITx5s+33X9oyt5X2KeKVPllL7s+aw4K46ndwB7D+w8f2MV8CftIH4hR7vg//wAUf9s51Ef8tZ9n+q/0r/j729Px+TNcJ8AfiR/wT6+En7auvfEPTtY/s7wbp/2X/hDLv7Pq03l+ZpskV38pVpTmZyP3oOM5XgZr0I5k6FHF0aijUqSTXtG1J+77SU+Ryi23VTaTvFuUlrrp9FkeIh/aGJyyvVp+0rNw+szkmoRvP2soykve9rFySfNC7a1V7r6v/wCCYv7PH7cn7Zf7N1l478O/8FDf+ELsI/M8jRv+FS6ZqWzN5dRn980kbHLQF+R/Hj+Hny/wN4y+Nsvxm+In7PXxi+Kv/CYroH9kfYNV/sO20/b59u1y/wC6gHP8C8ufuZGMkV+w/wDwSt/bA/ZK+J/7OdtL8IviJ9uNpv8A7RP9kX8WzfeXfl/66Jc52P8Ad9Oe1fk/4C8cn4rftbftE+OfEWr/AG6a+/4RHdc/Z/K8zZYNH91VUDAQDoM4r8S8OuMOLeIfEXPqGbYapDC4adKNP2icZXqRqctRXppzVXl9snKb0cVHmjJyXr8T5RlOXZc61Og5SU6cfbOU2q3NSqOVSKbcWpTip6N7pXsz48/bDsU8PamukDWtrNnMH2bP2j5YW+9zs25z714SshXoOvWvcv23L5b7xhBMzZJ3beP+mcFeF1+o4ivXq1Pa1Je89dkvLZabLsfmNSpOpPnk9X8vLoOOSPMJ5qK8Xbbnn0/nV+0WyRVlnHrk81DrX2SS23WXIX7/AF9RjrVTw1qPPzK/a+r8/wCuwnD3b3EltvKUtvzj2qMEDgipFVwv2gj8f0pjkggispxj8S08iXYFUHnFNp2+RhjPSpBZT/Zfthi/d/3tw9cUo0nV+BbK7BRctg0+ee2vEmtpNjrna2AccH1r6q/YY/as/bc+CXga98Ifs8/tNf8ACI6VH5e+z/4QzTb/AH5luHHz3MTMMNJIev8AHjoBXytMbRVzbn5vx/rURZ8bietdEaWSVaUsLm+FjiqEvipyfuPVNXVmnaUYvVbpPdI9jJs0/sjF+1alKNmmo1JU7p2+1HW10nbrZdj9IP2ff+CzP/BZT466xqelP+3/AP2SNO8nMv8Awqrw7P5nmLIen2NMY8v36+1dz8Nv2e/jv4m+PXgj40fG39q//hMF8Hf2n/Zmn/8ACC2un7Ptdq0Enz28gznEbfMrfcwMZJr42/4J7j7fr/iS4u5uR9jydv8AsXI7fSvvLRo49Ym0+6gtt8ln5ux9+Nu/IPHGelfPZJwpwfkmLm8swVLDKd7unShBuyly83Ly3te2rdru172fLDHYrkqUPbTVOfxRu7S5buPMr2dnte9t1qel+OJrzWb1ILXXPJkizu/0YNuyFPfGMYrn9b/a9k8C61Po58D/AG5rXb++/tPyt25Q3TyjjG7H4Vf0XQrLVILaPWrHf5W/Z+9I25Jz9089BVLwf8EfAXh6Oz8XWvh3yrmDzMz/AGuVsbtydC5HQ46V+h5Vi8ihRccxpuqoaRjGyu2278yknbS20rX0WmvdleIyekpPHwdRRXuxWl29dZKSaWltpb7aa+u/H/4K6N8W/BQS5vPs01l/qJvLZ8b5I93AdR0THOetfDltq3in4L/Ei9tfCGveXLD5eJvsqHOYc9HDdnYV9mfDv4++GfiJpc9joPiL7VLb7fNj+yOm3czEctGoOQp/Kvzz/wCChWqXt18NvGqWkubV/wCzfM+Uc4mtsdRnrXbk2OzHKq/1LH0lOjCM5+yqJJXUHJfFBtN20835ndlWNxuWYr6pjafNTgpTdKorK6g39qLab6aat+Z+qGh65rcfwytbrUNT+0Xh37pvJVM/viBwBjpgfhXhPgP4j+I/iTdXlprmr4jg8vCfZ0+bIY9VVcfdFflF8dv+GIf+EL1X/hSX/IY/cf2Z/wAhL/npH5n/AB8fL9zzPvfhziv2a8QeErtLH7Va/Kv8fQ9wB1NeLjHQyv2lP93UlVSlGUJKSp3bvH4Vr3WllY481wVLJq08O6lKs5pSU6UuaMdXdXstdNuiafUxdQi0NoI7ebT/ADDHn5/NYZyQelfBf7Ytv4xPxq8G+K/hV8Lftx8L/wBo/a7b+244t/2m2gRPmm6Y+c8BunOOK+59bsriGwFwkvzr1baOeQOlfF3in9vb9kzVY2Fr8Q9znGH/ALJvx6djB7Usnzahg5Tdfnb91xcZJWlGSkm004tXWzi1q+pz5TmVPL6rqTUnJWcHGVuWcZKUZWalF2a2aa176nzLqPw71zRv2e7fwv4ni+xX1lv82Hcsm3fdhxyjEHKkHqeteUa54WbQoLaddQ8z7Rv48rG3aR7nPWvebfxz44+PXi3UfCnwF+H3/CR21t5O66/taKz8zdHv+7cKhGDHIOvO3PcV5b8V/wBnv4ufBlNB074m/DP+xrjWPtX2O4/tq3uPtnlbC/yxSMI9gdBzjdu4zg16GZyyqooxw9GTlyRjGcnJc7jLkXKopxlouW+iupW1Sv6eMwE6+B+tUMNUdNRjH2rjPlbUlBJNJxelo6tK91va/Cm2AtvP3fhj3xS2bQpdI1zD5qc5TcVzx6ipdJuLf7RHBfv+453jB9CR0564qphgOlfMt04QhVgvl5qzu1qrO/Xs9D5jSKUl/Vv0JrswvdO1tD5ScYTduxx6mltNVv7Fle1n2lc7TsBxn6ioM4HB+tLBjzRmojXqe2UoPlbe603fla1vIFOXPzRdn5aCBkHVM/jRSAE9BRWC5rf8AzHFwz7jxV/W9Rg1Hylt+du7PX29fpVEQ5Gd36U54TCN4fP4V2QqYinQnC3uytfvo76GsZTjTcejtf5ERBU4IqSZVMp8t9y9mximMxY5NK2UbaD0rkTVmul/8zMThTkHNenfDz9nHxf4g1Hd4k0ryII/uw+fG3nZDd1kBXBAPvXm1nafa5NnmbffGa/S34W6LYCOO9OnZWTOD5x4xvHrXRSw2JrQvBaP0/X0LjTnJaI8n+GH7LEei26Ry2+y3hz/AB5xkv8A9NSepr334c/s4WJZbhJ8eTnzF2nvuA/5aVwn7Z2vfFvwJ8TPAHwz+FPxG/4RtPFH9q/2hc/2Rb3mfs0MEsfyzA/3nHDL97nOAK9J/wCCc/xQ8a/Fj9nG18c+PdR/tDVZt/2q88mOLzcXlzGvyRqqrhUUcDnGeua9mgsRSwEq1NWbVr6WaXImrPW/71dEtdNmehToYmngniIr3XeN9LO3JdW309pHpbXTZ20NV8A+EdJ1S70W7v8AdcQ+X5yeVINuVDDkMQeD2Ncd8WPgM7WzS2Iy5xlvxTsXr3pvC+j6p4i1LVr608ySfycjzGGNqbex9q6fxP4ZtLrMYHyHp156e9c+MlDB1aNag3zpRbbtbmtF6eSfcwqyhh5wnSb5lZ623snp8zgP2YvBMHg74dztNff63bx5R4xNL/tH+9WrF4t0e48UTaadRx93B8lufkz6VQu11DTNImtLLhV25Xj+9nqfrXjXgLSdY1Lx9JcTSbVGOyn/AJZMPX2rn+vYx15Oo9X6eX6Ixdaq5tt6npX7Snw+t/EHgqGES+YIt2JdpHWSLtuHpivKPAv7P89xZsAuAcZbI45bt5leZfAHXP2z/wBov4b6P40uv2v/AOzE1b7R/of/AAr/AE6byvKmkj++Am7PlZ6DGcc45+lv+Cb3jLxR8Z/2WtF+IHxG1P8AtDV7z7T9ru/JSHzNl9dRr8kQVRhEUcDnGTzk08Th8XTlGvVVm0px21Tas+vfZnpZhkmbZZhqGLxVPlhWXNB3i+Ze672TbWko6NLfyZw/iv8AZr18vAnhe0+3Y3ed+8SLZ0x9+TnPPT0rxH4I+AP2wv8AgoT458IeGf2cPhl/wi1lr/8AaH/Ez/trT777V5EUj/6u6aEpta2lXqM7884Gfojwv/wUk/Zs8dfEuT4f/C7WP7Xmvcf2a/2e8t/tOyEyScTW4CbQr/eIzt46gV7v/wAG+nwg8N+Gv2YfhH+0dt8/UYP7f/0bLruze6ja/e3lR8pz9z/GvC8SuOqvCXBX13FqMnCnVWHS95TruHtIQq8k01C6SlZ05JO109V9Zw1lb4hn9WxaUo0aU6lNRkvfleDUJtN2T5rNJwkv5k0fmj8aP2VfjR8Ffih4K8HeP/Hv9sx+MP7S8uP+y7a22/ZIEc8xytn/AFi91+73yawPhpc/ED9l7xb4li0D4Rf21p+r/Y/s8n9vxW3l+VG27hvMY5aU9cY2988e0fCH4gftE/t2fGr4dfGPxB8Mvs3hTwj/AGv5uqf21aP/AMfVs8A/dqsUn+ttwv3W654HJ80/aY+Aviez/aC8V+Mte/Z9/wCEp0jUvsP9lXf/AAlaWPleXaRJL8qvubL4HzAY2ZHBr6fA1sXhc4hKpUjCSV1KPtORKUbppThUqWafWD1d1aNmceNxeX5Zxk6+R1fY0YpOnKSm7KVNXdpQqTak3K14vdNWWp8zXml6l4fsm0XV7TybiHHmJ5itjJ3DlSR0I71mpE8hwi5x711N1PZeHtB07wx4k0Hz7qx877Xb/aiu3e+9fmTIPBB4JrOtIdN1u/is9M0/7Dnd5jea0u7jI64x0P51nLCRxfsVGonJqK5fe5vvceXr/N0flf5L2KqqNppt2Vtb/lb8TIFvMSVCcjryKt6haXt7v1dbbELY+bePZfr1o1i1l0vVJrJLjds2/NsxnKg9PxqQ6/F/Yv8AZK2GD/z183/a3dMfhWUaOFpOrRrycbX87yjdJaJ93fZeZKhTg506jta/3rZdfMybr/j3b8P510fiPxWfFVzM0WneU0+3CeduxtA74HpXOXWPs7cen860HiFkTNF95eh+tZ4GviaVGpTi7Qlbm2vZKW3nZsVGtWhSlCL912vt0v8Ao2QS2N1Chkkiwo6ncKW2spboEx9utEt9czIY3kyp6jAp1nLcRA+RNtz1+UGsYRwkq6UVJx+VzJezc+tixDrZh00aZ9lzj+Pf/tZ6Yr1/4T+JY9R0vSrXXL7de6l5/kDyseZ5bOW+6MDCgdcZrzYeA0/4QD/hNzqXzf8APv5P/TXy/vbvx6V6F+yX4ltb3WJPBOrapiWTH9kWvkH5sLNJL8yjjjB+Y/SuvG4bH0nQhiftQTht8D229Oup0YmhiqXs1WVuaKcdvhe2366nsel+FluNpj+TOcHr6+9egeA9I8L6Wwl1KbaU/wBlz13eh9xXCftaeFhp37MviDUfJ2j/AETZ82cf6bCD396+ovhD/wAEP/2XvG66c+qf8vXnbx/pv8O/HS9H90VxYrNeHuH8I8VnNTlpx2V5pv4m7clKrsove26tc+q4R4PxfFDrSpcvLS5b3m4fE5WtanUv8Lvouh1Xw20WwmikjtDuEeN3UYzu9TXqfgbwVqM+qzSLb8fLht45+Vv9qvj34O/Bv40fsSftEfCD9neL9of/AISXwf4u/wCEg83SP+EStrPyPsto9yP3u+WVt00+7764245BwPvPwbaXG5HgutmM5XYDn71FPMKVaXtcP8Ml1/Ht1XY+dzXL8bkuYzweKhyVI2urp2ulJaxbT0a2f4mt4x0UyaK0Fq23OOMZ/iU9zXzX+0V461v4VfCHzoh5k79G+UYxcRf7LDo9fUOn6frNr4bhTXtc/tG5+bzbr7MsO/5zj5V4GBgfhXxZ8VviRqHx78D6jp82ifZ2s/JwPtIfdvlQ/wB1MY8v9a6cNleMxNOtXoJSjSa5ne3xNqNk7N3a7adbGFLAYmvRq1qavCnbmd/5nZaOzd35etj5v0/9p/x5b60bxZdwPVdsQ/hI/wCeVfavwx8S6j8SPhtpt+67ZH87fyD0mcDsv92vjnRPgTqF5c7/ALHhovvHzB3B/wBuvur9n/wqdH8FxafI23G7IxnH7yQ+p9azrUZRmoVI2e/9atdTnnBxlZo9HCaFpOkRX2u6p5Uce7c/kM3VsDhfciuI8a6Fo/iqK3vtJ1HzIRv2v5LDd90dGII5BrqvjzdJ4T+EWoeKFtvtAtPKzDv2bt1xGnXnHXPTtXyd/wAEyv8Agibpn/BVL4NzftnftC/tC+brHinb/of/AAiTL9m+zXF1Y/ftryBH3JaRn/VrjpycsfJ4l4j4b4LyGnm+c4n6vRc3DncZzinZOzjShUqXfMkmota62sevl2T1swp+0hJRS5m5S+GKXKndRUpP3qkErRfxX0SbXz18Rfhz+0Z/wVLsPAfjzQfgT/wiPhGD+1PL8R/8JPZ3/m7isZ/0dmglXEtoY+nO/d0HPv8A4k/ZZm/bg+FXiPwB4b8af2TPbfY8Sf2aJ926cSdHliAwID37+2D+nn7IX/BOb9mz4K/Bfw98KNJ8JfaLPTPtflyfb7xN3mXM0x4a4YjmQ/xHp+Ffh3+wz+3/APGz4TfBr4tfF/xBf/2+2gf2D5Fh5Vta7/PuLiBvnWBsY3huVP3ccZzXyHAvixgONMFnWByNNYig6cYVJxtTnGUqilf3pS5ZU4St7kZrm1s7cv7XkUOEeFacsnxCnKeIhP28nrC1OnJzUeXlkofHy2i5u+r2txfxh+Enxe/Zt/aHuPgR8T7/APtyK82f2TrnlW9tv2WiXEv7mJ3xgyonzMPu5HUgZvw6/aZ8cfs//Bmx+GuufBL7THpfm79R/wCEkiTf5lw0o/drG+MeYF6npnjoOj0b4v8Ajj9vP9pDVf2g/FV7/Ztv4e8j7FoHlxTbfPszbP8Av0SInm3D8oeu0Yxkt+LnwwXxXodzocN15Ly7Ntxs3bcMjfd3DPTHWv2DJMFnGHwH9p4SajKEI870acuVOfKmn7vtIz5eaz5VG+rZ+axxFfKM0xeY8NTcKCvFOSTfK/eslJN2bg+VyXNypczu2fK1vOkVlbxN96PfvHpk8Uydg7+YOjVOY7a5tpJoYPLMWP4i2cmhNPMkCSmf72cDb05rxJwr1oqCs1ZNW8vd627f0j4dqctP67HYD46XB/Z+/wCFEjwf/wBxX+0B/wA/f2j/AFWz/gP3vf2rgbq0to4GdOGGMDnnmrenTWlvdpLe2X2iMZ3ReYU3cHHI6c8/hVS7JNu2T6fzq8bj8TjqVJ4iak4RVOKtZxjH4Voknu9bt6a9L9eNzHGZhGk8RPm9nFU46JWhH4Volfd6u779CQYzya1vEOuxa28H7ryhFuyd27rj2HpWSMZ5FW9QazdVa2s/Kxnd+8LZ6etRha1WGEqwjJWfLdPrZ3XTp6o5qdScaM4p6O113sWPDOm+HdX8Q2+m+JfFH9k2Em/z9S+xPP5WEJX92hDNlgF46Zz2r9xfBesJqOmxrHNjdnDbfdvb2r8M9B1vU/DuqR61o1z5NzDnypNittypU8MCDwT2r9Xv+Cf3xS8Q+N/gvoeueM9W+2ajL9p+0XHkJHvxc3Kr8sahRhVUcDtWCp1JxlWVkk/zv/kZcracj1X9qP8Abw8Vfsg+LfAnhrwX8Cv+E71Lxp/an2ez/wCEnTS/I+xxxO3zyQSK2VmY8lceXjktx6r+wN/wUt1T9sLxJ8QPB/xI+An/AArzU/Af9k+dbf8ACUrq32v7alw4+aK2jWPasKngtnzP4Spz4d+1Z+yD4i/a18R+CvG/g744/wDCD6h4J/tL7Pdf8Iymp+d9sSGNvleWNVwsLDkNnzO23m5+x/8Asm+IP2Q/FPjrxX4u+On/AAnGpeN/7M+13X/CMJpnkfY0mRflSWRW3LMo4C48vJyW41pxwc8NZ83teby5eS3383N8reZ2pZY8t+39Y5/7vs/Z8v8A4Fz83/bvL5n1b8evhXP8S9D1CfT9T4m8raPJHGGjHdl/umvkzVPiDc/D3xfDotx8zX+7a/A27Iwx4CnP3vUV9VeCvipJNZtp9zZed0y3mbc8sey18X/tI+JxrnjPS77TtN+wXA8/y5fO83b+7iB4IAPAI/GvockwGMziX1Wp/DipdlZ8j5W+tk4pvRuyeh2ZVg62Z1fYP4UpPorNQbTfW14pu13ZaK56LZfHnUpSFs08zf7gYx9Ury7466nfX/hMabdNh27YHaSM9h7Ve+HWnXFxoNvrOp3fnyTb9z+WFxh2XoPw7Vz3xXt7y61QlLv932j8scfKnevBxFJYXFVMOpL3JNX11auu36I8utT9hWlSuvdbV9dbaf1oeQJ4b8V/Dq1/4SLQ7jHndfkj4wdv8Rb+8e1UNN8WfEiG8Grwvgv3xDzgFfSvff8AhGrTUNJbSLxt8ZxtXBGfm3dj6iuP1y5svBl2NGs9J81R91vtBXHAY9c/3q78HTr5rQ+rUI81a9+i91LzaW50YejUxqVGlG9S9+2lvNpHnq+DfFmt6jH4p8RR70bPz5jGONnRSPQdq+mfgnq019oHm2EO5ofujcBnLyZ6iuG1i7gn00aeLLbn7g8wnHIJrovgpqkOi6UyJFnpuXcf70nsfWuTGVa1SslXjaVkkl2v6vX5mFac5SXOtTp/FGueKNRnEap5PlfdOUbdkD246V+a/jfw38R/gr8HtE/Z3/aL8D/8Idp+ufafs3ij+04dQx5Nwty3+jWpZvvSRR8uPv7ucEV92eOPjNd6D4yvNIt9G3rB5eH+0Abt0at0KHHWvqj4U/DfTPFegz22rx+bHNt8wZZejuR91h6Cvbcc5yCNGpVShSrwcbaS5qcuVyTSfMrpraUZdpI9+ks64cjTrzio08RBxs7SU6cuVyTs+ZXVtnGXaSZS/wCCSP7RvxP/AGrf2LNE8UfGbVPt2vn7T9u17yIIvtv/ABMrxE/cQRxpHsjhROB82Nx5zn6UkurHw7ZeUl75zN0/dle/4+teE+BfFenaFFqj6Dp32IfuPPj84yeZ97bywOMZPTrmqPi79oe6sL+XSl0jzPK25f7QBnIU9PL968rEYKtLGSw2HXwpX2WvKrvVvd62Te54lWhKVd06a2S/JXe73eu5rfErWYmXdBJv3fdGMf3fUV418YPFcNh4cnuTJtPy54zn50Hp710UnjK88R6VDezWPl7t2B5oOPmx6D0r5u/br+Jth8Pfh9PcXdx5cY27zsJ/5a24HRT3avNr0qtOq6clrd/gcsoShJxZ+anx41Ua/wDFjVtVDZ83yOcekEY9B6Vylm0YulaV9q85OM44p9taGctiTbjHbNWLvR1tLZpRNuZcc7cd/rW9DCYpx9rGOkdd10+dy4UqjXOloi3408a/8JHpwt/7M8nb387d3U/3R6VlXcVtFKy2915qjGG2Fc/nT5RZTaJeSNZ/vE8vy38w/LlueO/FVx8zc1rmOKxGLqKrXkpymlZ2tZJyVrJJdOz6a7o1xVetiJ+0qtSlJb7bXXkjU8IaFB4n8RW+h3eo/Y459+658kybNqM33QRnOMde9ekfDLwLP4a+NnhvTfh78WvsurTfbN2o/wBgh/sOLZz/AKuVisu9Cy/7Oc9cV5XpmrXmj3yajYSbJo87GwDjIIPBBHQmtvSNL1D4iXNze6nq2x4dnPkA5yCOxX+6K7sBDB4zL5YOlS58VKV4yu0lFJNr4lG+j3i999rdmFWGr4J4aFLmrylpK7VopJ2XvKN9HvF6Pva364+OLDxt4ztbrS/C/hj7VBc7PJuPtsabtpUn5XwRgqRz6VL+zZ8LvHvw48fQ+J/Emj+QIt3kw/aIm87MUqHlGbbjcDyOayf2QPGN14s+Cmh+Ibzx3/wkt3P9p367/ZYs/tO25mUfuQAE2gbOnO3PevaNNs57i4t7yaXiHfuG0fNkEfhXdT4pxeCy6plkIRVOSak7Scnpbfma1tbb0sddHiHGYTLKmXU4xUJ6Sdm27ab3a1t0R6FpfjE6rfy6W2kZeDbvP2j+8CR29q9Ym8MWHh/S31K7sdtvFjM3mk4y2OgJPU4rw/QYYLLWDdf2f883328084UgV9HjSx4o8KNo883lrNjLbc4xJu7EelfPVZYbnptRsuv4X6vzseHL2bastDyv9oDxvo3gjwHcappWr+cI9nmH7Oy7cyxgdVOfvGvyLufF+s+KfGct3NceZJJt42KOkePQelfpJ/wU5toPDHwkmt9FtthuNu47yfu3Fqf4s+pr43/Y3/ZyvvHniBL69j25zzkH+CcdpB/dpKvTVa93a3kLmjzXPpT9jX4I38ulL4h1aLekOfl3AdWnX+F/p2r3Xx58VYfh9phuF8O7kX77/bMbfmUDjac/eraEen/D7wSdK0afHkdtp53SZ/iz/eNfL/xo+Jz/ABE0DUJl077ObbysDzt+dzp/sj+7+tKjh6k6Mq/LzRi9ddr6LqhwpzcHNK6W/wAzeu/27/Cllcxx37eS75ymJG24HqIOe1er+BPGUPxg0OOe2h8uG6zl9xONrN2IU9Ur8trKe713xudLebYT32g4/dZ9vSv0K/Zf8U2XgbwvZaVeN50qeZmXBXq8p6AHs1elVp5dTy+FXDN+2v7yeyWtrdO3Vv8AE6qkcGsLCVNv2n2k9lva3/Dso/ta/ADxLrHhS81Ww0rY6+XsHnoc/vIQesg9DX5++KtL1/wZq6XMx2yrncuEO3KgDnJByGr9dNQ+JOia/anRr471l6t8wxghuyj0r5F/bJ+DmgQSQT6bp/mNfbsN5rjbs8gdC/Pf0qMBiK1SEsHCkpOeqTutrPfmXSPX/IWGqSlF0IwUnLa99NndWa6K2t1q+trfT37CnjnVfiJ8K7Uy2n7q237p/MXjdPcfw7VPVcV8l/t7f8FUPEv7NX7UniT4ZWP7M3/CQWXwt+x/2nrf/CZpaef/AGlY28sf7k2rldrS7PlZ87cnbnA+lv8Agl/pl/ZfCA3Fyv7uX7q5HGLi7B6Gvkf/AILCfsY/AXQf2gdf+OHx6/4KAf8ACuLL4xfZfs3hv/hVN1rHnf2TaWVu3+kW8xK4YxycrHnzdvz7SawjOWBxdSjXvGynF8tn73LKK3urc1ua2vLfl1sFL2eGxM4Yi6spx921+blko76W5rc1teW9tbH0Tqfiq413Q7XxN4fg+02l3v8AJl3BPusEPDAHqCOR2rwX9vr4f/EL4s/sveK/h/4F0z7fqeo/Yfs1j50UW/y723kb55GVRhUY8kdMdeK9x/Z8/af/AGQv2itC1Lwz+zT4p/tWy8LeT9pj+w6hB5H2lpHXm6iQtuaKXoWxjtkZpfEzWYrPUrnTYkzEuz5M9chD1x61PsqOJxTp4ZNRu7X3cb6X3V7WvbqYyjTqVmqN+W7tfe19L9L2Pzz1f4FfGL48fErwte/G39nf+yPCmi/bv7Wf/hLbe48zzoQIuLd0kGJY4/u5zu5wAa+VfidpfhrQvG97pvhTTvs1nH5flxec74zEhPLknqT+dfqD+2b4q8KfCb4Wahq0f+jJ+680/vHz+/gUdm/v/rX5OkYOKrM80rZjip15vmcmryaipaJL7KSSsuiOnNMzxWbYyeJxEuacrXbSTdkkvhSWyWyHs4ccdT2p2qQafBZt9l1LzicZHklccj1q9o+grqXlsbnZvz/BnGM+/tWRdf8AHu34fzrCpTq0KCqVIL39nf07Pz6o5HCVOmpSjvs/6fn1NEauTZ/Yxbf8C3++fSpr82ibGsLv7R13/uym3069e/5VmA4OalhMnkySh8bcZGOua0pY6rOLjU100fVJa6bL70/IarSkrPX9Lf11LPiEq2g2Thvm/eb0x935xjnvX6J/8E1vEvhTx5+0n8XNc8C6z/aej3v9geRqf2eSHOyzulb93IA/31ZeQOmehr88LjC6VZzzjzBJ5m1em3DfrX6N/wDBOv8AakHxJ0u60CXwd9gl0zZtuv7R83zPMa5Y/L5SgYC46nOc8V6M3iKqnTpq6lGEmtPs03FO910m3ZXv20seh9YrPC1MNGKtLkm+65ISiutrP2jb0bvbbVO1/wAFFPi38Uf2UvHPwwvPh98av+EOj1f+2/7R1n/hG4NR8vyorYR/uZEkznzmT5cY35OcDHhXgz9oX4KXnjnxL8ZPjT+2L/wknijxf9j/ALUuP+Fe3Nns+yxNBF8sEflnMWwfKq/d5ySTX6hX/hjw54m09dP8Raf9qifPyea6dDnqpB6gflXo/wAJ9N0bwTptvovhe1+y28W/Ee9nxlnbq5J6se/elg88rYSUMTB/7RFuzcW0ouLVl7/LbVu3s73bfMehknEcsjrRxVOlCdeLfLKan7qas0uWrGPV6OD3bvtbyT/giB41XTP+CaXww0i407ESf21m58711m/b7oXPU4r6smitpbiLV0u+LPdlPLPzbxt69q8h8WfGO28K/aLmHwx50dvsxF9tK53YHXYe5zXYax4zv2+G+v6vpsf2a4s/svlvkP8AfmCngjHTP50pZVXpRpySspWje61vZd218X+R40sHVioStZS0/L/Mr/ED4aW3jXWjrVz4j+wo/wDql+xmXdhVU9GGPu+nevRPFWuw6FD9qY5z2/Ieh9a4P4B+NI/ihBqWg+IdJ3XGheTuvfPx9o84yN9xQoTaEA6nPXis79oHxZJDq0mgx2XCYzN5nXKxt0x+HWuXMo4uNRYWp/y6T7Ws0mmnu7qz118icUq8JKjP7Pps7P8AKxx3xS+JU2t6f9h1Ow+x3E//AB6L5vmebtKFuigLgAdeueK+S/CItk+L+ppd3ewL5OP3ZPW3b0rvfDHxJbxzeST3WneRJYY8hvO3Y3g7uij+73zXlel6zDH8adUF1aeYD5G0eYRj/Rj6CirhamHxaw8ouMktUmt99G29LW673Iq0Z0qvs5Kz6r+vKxhf8FaPEXhDwZ8WvgJ4g8ZeJvsGlW3/AAlP2m9+xSS+Vugs1X5EBZssyjgcZz0r6e/4IkWPiLxZ/wAEvfB/hi70P7FZD+0PsGqfaUk+1f8AE7v3f92MFNrDbyec5FeVftt+BfiL+0F+yF4t+Ffwr0D+0tZ1X7B9j0/7VDD5nlahBM/7yZkQYSN25YZxgZJAPif/AASw/Zx8Yy/8FB/hz8V/BP7J3/CDaB4V/tf/AISfUP8AhO49T8z7TpN3DbfJJJvGJNy/u1b/AFmWwFzV06mY1sDJKF4Um5X5ZPlcuRXbS5VpTS97Te13t6VH6zicmmlbloS5vhm23U5IvWKcEl7NfG43u7czsl+vGneAp7XQ7TRzf7ja+Zl/KA3bmLdN3FO+IXi7Q/hj4LvPF3iG722tj5fnN5bHG+RUH3Qx6uOgNdDC8plcGTpjHFfJF9+0nq37QPx8f9mbXtB+z6Jq+PN/0pX2+Va/ax92NHPzxj+Mde44O2UZdis4rTqS1p0lz1Gmk+W95W7u17Ixy3L6+ZVJySvCmuedmk1FfFa+7tsj6X+I1ppXjTwHqOiXGsfYopPJ8y6+ztJsxKrD5RgnJXHXvmvyv/4LI/sdfsueGfg54q/aG0ebzviAPsPnajtvl+2/6RZWw/dtMYI9luSvCfN1+9zXrH/Ba/wH8MvFf7TP7NXhT4neDP7f0G8/4TL+0dI/tGa18/ZZWLx/vYmDrtkCN8p524PBNaFl/wAEg/8AgnLrn7PPgD4x2v7OP2W48V/2r9ptf+Ev1d/L+y3fkL8xuwDkDPCrjOOetfJ5xxRR4awdFYmlOVGvVdOEl7Nr2vsalSzUveVoU5O6Vtkmpar6Xhrg7NOIsCqmHqU4xlUlTSm3fnVPnvpTmrct9brVaWdmeCf8FQP2gPEvxM/Zt8cW+sfC7+xvtv8AZnmN/baXHk7Ly0I+7Gu7OwemN3tXPftg/wDBQzXDfeNvA3w++D/9seH/AAn/AGb/AGj4p/4SBbf/AI+hDJH/AKNJb7/9Zuj+Ut93ccAiuQ+L37SPin4zfsraj8YPFP7CO7wFqXk+frn/AAs9B/q75IF/cpGs3+vQJwo9fu81gftG/DX4NfCn9lvxvZ/Cz4b/ANivqv8AZv2yX+2Li53+VfRFOJmbGN79Mfe5zgV9jhcjyzFZdKeWYZ0qVCmrxUnpyxlZ+/KbknaKTU7pQleN5Jn23FWFyrjjF1s0wWIU6eGoPm+OMrpVpxVpUkmnLlu+ZWSkrXcWvknw7qraSZh9m8zft/jxjGfb3rN8ttu6nyXBEzNAuwHHy5zSGdfK2CL5v726vIqV41KMaMpaQ5rfN+l/vPxWVRyhGDekb2+ZHdWsv2KWZhgJtz+JrtPhz8WZ/hr488P+Ml8Mfbjof2vNr9tEXnedEyfe2Ntxuz0OcY4ri7y6mNo8W75WxuGOvNSi4Bl8yRN3qM4rXDYz6lPmw83F+7e6T1jLmXR7NRf33ub4TG1sBXjWw8uWUXFp2T1jJST1TWjSf56EaQPDaxq/DDO4enNCqG71Im6WVUkbIOe1KYB5rIjYAx2rnlR5pXS0289jm5bvQs+Gb3QNO12C88T+Hv7WsE3efYfa3g83KkL86fMuGIbjrjHev0M/YUm+O/7B37RHiT4gfAH9kf8A4T7w1q/2P+y4v+E9tdK2+VaXEcvNz5sh/eXEh+YD/V8ZDAj89db0MaJdy2v2nzfK2/Ns25yAfU+tfoD/AMEvvjFYeNrS88DaFoH9gad4Z8vyLf7Ubrz/ALSbuRvmZAy7WUnktnd2xUZhk2GxmAxOXZglyTjKM463aalFxUoptXu07SXR30TXo5fjMdkuM9tQmoVIXV7JvWMotaqS1Ta/HomuW/bN+PH7Zn7WX7Z958Uvhh+zz/wgXjTwJ5f2/T/+Et07VPsf23ToIU/eSpHFJvhhduFbb5mDtKgn0D4o/s6f8FR/C3h/UNZ8N/H3+39Wi8rytK/4RXRLX7Rl0U/vWkKptQlunO3HU1zf7T/iP4z/ALJv7Q3xN+Psnwa/tvwh4p/sX7LrP/CRW1tt+zWkVs37nEkp/fTbOVX7ueQcj7tuvjR4c8Ua83iFvhz5Onz4/wCJV/bDtjau3/W7A33hu6e1cc6mO4fy7C0cpoOdONLk+JpwjSUadGMG6lPmbhGSvLnV4e/KLfvftPBmRcPcaYKri8fUnUxjiudpuChbmhTcOWMYtuMU9edXjrbVP46+H2n/APBRP9h74kaP8RdNl/4WZ4cl+0f8JL4c26Rovm4haK3/ANIPmyLiScyfIOfK2tw2R9ufsAf8FC/G/wC154g8e/D/AMU/s1f8ITqfw/8A7L+2W/8AwmUWpef9uS4kT5kt41XasIPBfPmc7SuD+bf7Qf8AwW3sfi38INX8B/Dz9lf/AIQ7xBe/Z/7L8Vf8JwdQ/s/ZcRySf6NLZqkvmRo0fzEbd+4cgV93fsl/Bnwb/wAEtvC/xR/ae/al/aa/4SSw8V/2J/bOs/8ACGSWf2D7K81pD+5tHnaXe13Enyou3bk5ySOnDZtiM4oyxWYUZ06/Na0pKUXBRVmn7SpLfT3pdHola/5/xtW4LxGI9tlFSrUqSau5tuCik00nP965XUXq3GzaT2S7n4keBNZ8KaTaeHLu485rXzMNsVc7mVuzH19a8fvdN1CK5/f22wDqd4OePrVr4h/8Fkv+CdPjizj1Vfjf5F42d9p/wjWrts5UD5vsgByFz+lN0Hxx8P8A4u/Di3+Lnwo8Tf2roWpb/sF/9ilg83y5jC/yTKrrh0deVGcZHBBrWrKpVrzlOzlJvZrdvXZ26+nY+Fm5TqNy3bPmrS9Dk1X446xCOWX7Pkf9ux9/avZ2/Zdv9f8AEj3j+KPs6yY4+xB8YTH/AD1Hp+teTaReSWHxv1O5tVw7eTubP/TsR3+tfaHgDwzrEvjZNRGu/wChc5037Kv/ADzYf6zOfvfN+lfbPGZzkdGk6NVRvS0dk73jB8vwvW+i6aavv9JDG5rkvLKhVUeana9k7pqLa1i9dtfLfv8ALP7WP7EX7UvxK8ZfDjxt+zd8Lf8AhOn8M/2x/bNn/bdjpnkfaI4Y4vnupl3btsp+UNjy8HG4Vc/Y9/4I/an8QvGXxH8f/wDBRj9lD+zmvf7H/wCEMtf+E7WbZsjmju/m0y7Gc7bY/vQOuF6Ma/S/4b+C5fAOnvbzX32lrvHHlbPL2Fj6nOd36V8CT/8ABNP4Rf8ABRr/AIKj/tPSfFHUvs48If8ACFfYP3Nw+77Xonz/AOpuYcf8eydd3XjHOfguJuM6WTZHVr5tiVTwkZxnKXI2lNpUou0ISqa3UbJNdWt2ZZfPNM9nHKI1oqE5ufvKy5lBq7cYuXwq1krX6dTL/wCClPws+F37P/8AwS+8Y/Bf4TaF/ZOh6Z/Z/wDZ2m/ap5/K8zW7WeT95Mzu2XkdvmY4zgYAAGf+yz8W/wBlTxD4V8ZXnwy/aH/4SC6s/wCzvMtP+ESvrT78kwHzyoB0Dn/gOO4rvv2x/wDg1/8Agf8ACv4I+I/id4B+Of8AZ89h9j+yQf8ACMXMvl77mCJvmk1Jgch2PKnrx2NfGP7IH7NP7Q3xo+HZ/aD8NftS/wBg33jn/kMW3/CEWl1v+xTTW0XzPIoGFQn5UX73O7Ga8nhPjHhnjfJqlTIsxlWwspwVX2dNxvKm1UcH9YpQkmrwvyRcWpu1Tmjp9jwtm8+AMV7aq41cPWdnKmpN3pxd1HndOzTqQveLTjL3ZKUWjgP+CkUvi34z/E3xZr3g/wAI+b4e+GX2D+3db+3xrj+0YbVYf3L7X/1iMnyB/U7RXX/sw/GPwrcfEf4ueJfC9/8AbtN1T+wPs915TxbvLhlRvldNw+bI5A6Z5FfU/wCy9+yp4p/Z58SeNPHHjn4z/wDCXan4v/s77Tc/8I6lh5X2VJY1+WOV1bKyKOAuNncnjxv9o7UYx4su9DF9lG8vb+6+7+7ib05z9a/TckwUs9xNXCOfuPlaTXvNU4yp01ePupqM1fR3a1e9/JqYytxfnWMXMlGtNVFzK0rQUoU4+7eKajUV73u0ry3b+Jvj7rur+JfiXdaZJN5kNvs+yR7VGzdDGW5wCckd/wAK4y70m4soo5JxgyZ444x+NSXuvanqmqPruoXHmXLY3SbFGfl2jgDHQDtUN3qd5e7RPLkJnaNo4z17V8lBYKOHbndze3a2m/4nwy9l7N3vzdOxAFOMnpTLuX/RXTb1x3961tP061kjS5nj3Ic5jyRnqOtZepGE258qHZ6/NnPIpVcNVw9JTk172292vut19RSpyhFN9R00vnSmTbjPbNNopyKpRnYZxiuXWpNt7vUjVsbg9aAMnFW7qyjj021vEODNvyPTBxVQHBzWlWjOjJKXVJ/JpP8AJjnCUHZ/1fUu2XhrxFqehar4n03S/N0/RfI/tK489F8nzm2R/KTubLAj5Qcd8VFfLLb7LCePa0Oc85znmpbDxJ4i03QtV8L6dqvlWGt+R/aVv5CN53ksXj+YjcuGJPykZ75qnqUlxeF5ZX3yPjJwBnGK2lLCxw69lzczVpXtb4pPTra3Jvrfm6WN6rwqow9lzc1veva1+aXw21ty8m+vNzdLHsPw48G/tM/Cz9nnVv2jPCPgb7P4Y1LyPK8Uf2nZP9n8u7a1P+jOWkfdK7R8oMZ3dOa9J1D4/fEqx+FHiT4k/Dz9uj+2r3wz9j8vR/8AhWUNt9o+0TiI/vZY8JtXc3Q5244yDX1F+z0vwK+PP/BOvSPhh/wo3+ytD1X7R/oX/CTXU/leVq8kv3/kdsvHn7wxnHIGK+NPi/8Asg6/8Afgl4k17TvjD9usJ/sf9o6Z/wAI8kX2nbcosf7wyuybWkLfKOcYPt15RgMXisNiKlWi+SHPaSkuZKMW4zS5rck3bmUlz8qdoxla/wCqY7gNZZlUMdh6KxFCeHc5T52pU5+zlLmgr0r023FpSjOdotOKdlL7y+IHhbX/AIlQaTBptriS08/zPnTneVI6leymvVdOuBpfw2Hwu1GTZKOs+M4/fGb7o46ED73+FeX/ALJX7RXwj+O8WpP8N/E/2+XR/J+3wfYriLyPN87ZzLGm7IjY8ZxjnHFera94et9R1FtVi1njjdb/AGc+gH3s+2a9GGc1/qdPB1pRUKLcoW1fNdvdXT1b8vM/OXmeInhKeEm0oUm3Gy6t331vq/QzvDfhZvgVoWq6k2vfa47ryN3+i+Xs2sR6vnJk/Svn/wCHnjyOH4vPrJfakmMHGeluy/3a9Y+Nvim/s/B9zZzpuB2fPkDH7yM9AK8A8F2cH2+1vrlMId/zZPow7Vw1sRLHReNxTcpuVm1ZaKOmit5HLWrTxTeIrNuTdm9Ox992fjPRLfR01MXGWOcHY3PzY9K5/UfiBceINMFnoWm/akP/AB8v5wTyfmBXhlG7OD06YrhvDN09z4cfyrrJjxtbZ6uc8V6B4c8MRaPZ3X+meb5uzP7vbtwT7nPWuWFOhDDSqz1f2Vr+NrbX013MIqCg5PfofMn7a3xm+J3wa/Zk8Q+M/AGq/wBm6tafZPs935EM3kbr2CNvkkRlbcjsORxnPUCvFv2FvHP7JfhSXwt8OI/2m/tWoW/27Cf8IXfpu3faJeu0qMKfXt+FfYfj+HTrKGae5m83O3yo9pXbyueR1r84v2j/ANob4R/EXxtonjT4Z/GP+x7zw99p+yXP/CPXFx53nxxRv8ssahcBXHIOd3GMCvRyjE+x9rGjU9nzw5Ztcil7Nv34w9q+Xms1Zcsm3FW0cr/W8F8QT4czN4mnThLRczk7NQUk5KF6kIuTVrJqTbSsrc1/1i+NP7SPwD/ZM+Gep/Fi6+I39txWfk77X+yLq2zvmSEfMI5D1mz93+HHfI/KP/goL+1hY/t7fGi1134e+D/smlaBv26h/aBk+0efbWy/cliiZNr27L0Oc54GM8P8d/2l/wBpz4haHrXww+JPxk/tjSY/s32iD/hHrK387LRyr80UYZcOqnhudvoSK4vwB8Q/7EN42s6P/aJm8vYftHk7Mbs/dU5zkfl7189wZwhkOU46FTFznKpUT5qsrOTgnpC1NRgo80Iu/snUbv76jY+04o8QMPxNKGX03KnhZpObnFc7cXJ2vFzSjeMNo8107tR341CElBU7gO/Sus1e10XxBpM95Y67ma02+Xb/AGVv3u9gD8xwFwBn3rlEgLIJA+PbFS2mqXtnHIlvNtWTG8bQc46dRXtZfjaeCpzpV4XhUXzVk7NarZ2et9tu/wCS4bERoRlCpG8ZLzutHZqzWzs9b7bdCO5t3gnaGTgrjP5Vaj07Q30gXjeIdt3/AM+X2Rj/ABY+/wBOnP6VTmuJZ5TNK2WbqcU1cdAOfWvPVWhGrJqCkne176Xej91rVed13TOdThGT929773089GtfW68iWGxlus/Zvn2/e7Y/OipLC8Njvwm7fjvjGM0V24fD5dUoqVRtS8tvyZpCOHcbybuVlYodynmtW51y+1nT5l1K68wpt8v5AMZPPQD0FZ01lcQE+amAOpyKs3trbSPHDp1557Nnd+7K4/P8azwrxdCnUirpPRxva97paX1s/J28hUpVoRkk9Huu/bTrYpElSQKSpp7C6tsedFjd0+Yc1G8m7tXBUpzpyammn2ZhJSi7NWFghkmbEa5x15r9RP2L/E+jfGX4bWfizUtE+yzz+ZutftLP5e2adPvAKDkID04zX5g6bHJNP9kRMtJ059ATX0l+xJ+15D+z94jh8FfFO42eGLrd5OobM/2btSeQ/JDE8k3mSyIvJ+Xr0zjtp050sG61O91o2tLf0vPqaxjKNPnjf1Pov9trxZ4J+HP7WPwd8a/G2/8AsfhG3/4SHzbnypJNu6wgjHy24aU/vWjHTv6Zrnf2Av2hvhF+zJ+zX4U1f9oDxj/YWm+Jft39hS/2dcXX2j7PeXCzcW0bsm1pYx8+M7uMgHH2x4b8YaY9+umrL85zkbW9CfSvln/gqh4h13wt8cvgj4g8JeFP7bvIP+El+z6Z9uW28/NtaK37xwQu0EtyOduO9deBxOLddYZq0ayjC1nKybh70YrVyfIr21lt2PbwGOrYmFLK5JRhOVuZRlKS9o6KbUU7ya9lFpJXbcl1VvRdA/bV/Y+/aH8a6N8Mvht8S/7Y1q5+0fYLD+xtQt9+2Myv88sKIMJGzct/DgckA+6216lnbQxTrtJ3YGc96/Lv4ifteaZ8M/i/8NPi1e+EPP8AE3hX+2f+Ej8Ff2gy/YvtNusNv/pgiaOTfE/m/IrbfuNg8102pal/wUh0v4eN4z1H4v7Ndixu8P8A/CP6OcZmEf8ArwNn3CH6f7PWu+eVYrGVqmAwzlV9jd/Dyu/WPLOSalzNrlV5Np2id+I4XzCtjq+Dy7mxEKCUnJRta8VJpxcrxmnePJrO8ZLluml9f+EdO1rw7Hdvqtr5KyeXht6tnG70z6isf4dX+maf4subhufM2bfvdo2H9a8Mtv2iL/4+fC/SPiWPD39li6+0brL7WJ/K2z+UPn8tN2fLz04zjtmsnw98Q7nTJEVI8mPPccZz/s+9VmeGp5hShi51oKrUaThouVcrak7y6pLe3xI8nF0Y4mlHEyqRU5OzjorK2j1fVJfeeY/tT/svfGn9nzwr4P8A2ePBnxi/4TDS/F/9ofZtI/4R620/yvsjw3LfvXldmy0jNy642Y5BwOj+OHiX9mfxd8Gf2aPEGtfDf/hEPh9P/wAJl9o8O/2xe6h9k23Ear/pCgTybrhRJwON+37or6EHwE+Fv7TmgaNYfGD4f/2sujfaP7Ol/tWeDyPOfMnEDpuz5SfezjHGMnP0L8EvhL4J+B/gmy+Hfw6037Do1h5n2G086SXyd8kkr/NK7O2XkY8k4zgcYFeRWqclSDqT53DRXfNFxjbljy9F8V1zWd7JK2uX1+pGtRq1X7WVJqym+eDhFpxhy9I/Fdc1mnZKNm3+cXiDxb/wTa1jw7pPhaXUPMsdH8/7BB5WsDyfNcO/zYBbLDPJOO2K9E/ZJ/4Jp6F8ev2WPhl+0D8MviN/wg3iwf21/bmq/wBjtqf9pf6dNbQ/upblIofLijdfkT5vMyeVBr9GYNf03TFVJ73c4zkeWw/p71Rutb8Y6hrB0mbwb5Ni/wB7UP7Rjbbhc/cxk/MNv6104nMcZmNWnV5YU5U9VKPuS0ty2blduCSUFHVLRHpZvxFi87rUqyo0qEqWzpR9m3ZRUdXJt8iilBL4eh438Fv2ek/ZD/Zvs/hfeeJ/7Tk0bzM6v9i8nz/OvHm/1Qkk27fO2/eOcZ4zgfDnib9s3xr8S4dH1DXvhJ/Y2j+LPtH9i3/9vR3H/HrgTfIsKt99QvzbfvZGQK/TT4jePdNsbTZFJveTquCMYK/7Nfk1+0D8Ifhf4Q1yVPgh4I/s69t9vlH+0p5tu5Y8/wDHw5B+VpPz+lc9COKxNP6tCk5TktLJN2XLays5WSi9mt97Jp+Nh1OrGVGNNynJaWs3o4vblbaSUlo4vXeycZeIa94mHiLVJdQuk8tZtu6LOcYUDqAPSu1+Gni/4ZaHomtaXruo+Ut/9m2R+TM2/Yzk8qDjGR6V5m8Txkq64I681f0K01LW7waLpNl51xcf6tPMC52gseWwOgPeuzJc3xeAxsXTpxlP4UpRlJu6cbJJp63tbzOjKcwxGBxkZ0oKUtUk03fmTjayaet9jqfi43w2vbLSNQ8BndPN9o/tF/3wzgoI+JOOm77v49q4hInZNyr+tXtUsNT8NalLp2r2XlTrt3x+YrbeARyuQeCKi0O30681aKDVdT+xW7bvMufJMmz5SR8o5OTgfjWOZVnj81cp01TqTaUopcii9I397a9ru70bd2Rj608bmLlKnGnKTScUuVJpKPXa7V3d7ttlC5RmtXcDhcZP41Yf7Nt+Xr+NanitdFtdLaHSNa+2+bjzD9maPy8MMfe655/KsryAYfND59sVxYrCPB1HSTUna7aaaW+zTa2ts3qclai6E3C6b8mmvk02vxHQ2c90/l20e5vTIH86774C2/7O1re65B+0Qm11+zf2UM3Z7SGX/j2/7Zfe/DvWJpnjsaX4O1vw0+l7jq32bbL5+PL8qQv0285zjqMe9c1IXuZWkRPTjNd0ZYLLKtKvR5a07NuM4+4vijZx6u1pJ33e2h6OExOHyrEUcTTjCtKzbhUjeCb5o2cdObS0k76NrsMsrdnslZUyTnv716H+zt4kufCfjmO30j4Y/wDCQ69d5/sU/wBtC0+z7IpTN94FH3Rk/e6beOTXF+G9Z/4R3WodUa283yd37vftzlSOuD612Hwx8QfCDXfFMOl/GTw5/wAS2XdjUvtlx/oeEc/6uABpN7BF/wBnr0zSy+GXp06s63JNSSs07WVrttQnvdr4ZbaprQ58DDCe0pzqzs1JXWuytrflnvr9mVrap7H0n8GP2R9R/aE8d+L/AIm/H34IeTHf/wBn/wBjW/8AwkobZsieKb5raVM58uM/Mo9u5P7Q63+19+xt4E/Z1li8D/EP7LqVrt+yj+ydRfbuuxu/1kRU5Vm6+vrX5JfDv/gnt+zTrd7f2urfDzz47byvKm/ta8XO4MTwtwMdAK9Itv8AgmP+xhOBLH8INwHWP/hINRGfx+018j4j8BZDxpi8HDMak1Tw9T2qVGcYqrz8srVeag1LTSPuQ5E5Ra1P0fDca5Vw/RhhcNhL8slNzjVSdTVySnahHmiudpRaTS93Q8W/bB+Ndx/wUp8GW1h4Q8Tf8Jp4i8Jb/wCxk+xDTvsn2qSEzcukEcm6O1b727GzjBbn7L/Yb/bK8VftAeLPGfw++JXwd/4Q3V/BP9nfa4v+EhTUftH2yO4kXmKFFTakangtnf2IIPyj4e/Z3+Of7KP7Qfi/XP2d/wBlj+3/AAXqH9n/ANjr/wAJxa2vl+XaFZf+PmSSU5mml+8BjbxwRjE/Zk/aK/aI1r4keO/2jPhr+yj/AG5p/j3+y9tt/wAJ1aW32P7FDLan5pYw0m9gx+4u3b/FkGvr6lPK8RhaFPA4aNFQi+eNGnywj783fljHd80Lu9rtJ67cOd1sHxpgqWOw8ZSzFu1SnSpzcVCPOlP4ZNu3s03zvRpWVtPv/wAUWHxik8eTRaVBjRl27F3W/wDzyGevz/fz/wDqrG8LfCy/8MLez+KNM+yQS+XhvOEm7GR/AxI5I/OuTtv+ClAh/wCCfZ/bdHwpzKv/ADKf9u+urfYP+Pr7P6fvf9X/ALP+1XhH7Tv/AAUz+Ot18LdQi8cfsVf2FYP5Xm3/APwse1uvLxPFj5I7bccttX23Z7V3YfMcXmVNYdUlGklFVJQhJtRjq5yt2Sbd+zPlMKsbmNJxp0WqUFH2k4Qk+WK15p28k3rvZ2Pprw/oHw5j169f7kk3l+Yf3x3YU478V6/4f8D262QEcO8N23EZ5P8AtV8reG/hreaXZRrHre9n3ZX7MBtwT/tc9a+sPhtrxu9BhknOHG7A9Pnb2rhzqjhKFWMsLXdW2l2mrWslvr0/A4MfTw1Kr+4q862vZrbRb/0il8VPh1ZeJvAN5oOr6P58E/l+ZF9oK52yow5VgeoB618L/sB+DviV+zz8Tvil+zA3jz+2tP8ABP8AYf8AZ9x/ZcNtj7ZDcXb/AC5dvvSY5dvu8YzgffPxI8bLpfh6eaNd5TbxnGcuv+z71+eX7c/7C8v7Q03iz4w/DXwB9r8a3/2D7EP7V8v7Vs+zwP8A62dIk2wxt1UZxx82Cc4Rr5hlk4TlFQjzP3m2pfC3FRV7tuMWrq14ptqx9DwhxBiOH8yhjb3hTU24ucoqXNG3LopatqL1ja8Vdq1180+P/wBp39rzwWfF3hb44fH3+w/F+h/YPsfhj/hFdPuf7T87a7/6TbxmKHy4Wjk5J37towQa+gf+Cc/xI/YT0TxRr3wg0vWfKHjP7L5unfZtUb7Z9kS5nH7wqfL2ZLfeXd056Vx3xh+Af7dPxT+HWo+Bm/ZH/s8X3k5u/wDhPdMl8vZMkn3fMXOdmOoxnNfRvx4/Zf8Ah58dNLsZPi/4G+0No3m/2Y/9pzJs85o/M4glTOfLT72enGOa9XE0MLPC1MBg8UqsJKm1UcZU6lOSm3+5cm3CWkbyjF6cuitc+kpcW/2JnirYTE/Xqas1Kup89NNyUoQlJ3TcLc04wtLS8bKx51+3J+yzo2hfGDwL8ff2PPgz/a88/wDaf/CTt/wkTW/2jFvb21t/x+ykJtBm/wBWvO35uqmuW8O/FLSPih8ENP8Ai1daF/Zrat5ubP7U03leVcmH74Vd2dmfujGcc4zXk3w7/ZW+LXiW78DfDf42/Bb7L4a8If2n/bF7/wAJHA/n/ag0sXyW8okXEgjHyls5ycDIrnf2lfFfhnwd4atPgr4B0j7Jo0fmeXF9oeTycvFOeZAXbLsx+9xn0wK+fdKrhIU8LKrOpZ8zlU+NuajJ8zaTdtI3baly8yUVLX5rjDNsuzjNPb4Sk6fPacldW5pQp81l7ODXvJ8zbkpu81y318R1rw7qGjxpJd2flhs4PmA5xj0J9aza6Dxv45PjJbcf2V9m+z7/APlvv3btv+yMfd/WsrT9IutRVngHC4z09/f2rfMcNhKuZSp5c3OFlZ2s3prpZbPyPnMXSw/1twwjco6WdrX010supSklSLBkbGenFdV42h+HB8Ntd+FF/evjY2ZucOoP3/bNRfCf4jSfCr4i6T4/TQ/7R/szz82n2nyfM8yF4/vbWxjfnoc4xx1rmp52OkR2bR4MWed3XLZqsJicJhcDVi1Gcqia96N3GyVnGWyvzS/8AXdG1GrhqGAl8MpzbTTi7xSUbSjLb3uaStuuRN7oeiFn24oKMpwR1q3oOqjRdWi1MweZ5W75N2M5Ujrg+taWr+Mzql5a3X9meX9n3/L52d24AenHSsMPh8BUwrnUrcs+ayjyt6aa3WnV6eXmctOlhpUXKdS0r7Wb001v9+nkYbxSIiyMuA2dpz1xX1J/wTY+PWjeA/iPa/C2w8C+XeeJN/8AaOv/ANpsc/Z4bqaP9wUI6MU+Vh/eOelfMur3Ul863jweWr52jfnpgVVjjMkgjU9a56tOFPEckLyWlul7+Xn0MZRUZ2WqP3g0PUgLQxA4/ryfak1TXiJjCHxjrx9PavBvgT+1J4I+LcE9l4Qvvtstht+2fupY/J3mQp9+Jd2QjdM4xzXlv7NniH9sP9uPVvEnxS8HfGv/AIVZ4Y/0P+wtM/4RvT9c8/5ZYZv3jiKRdstuzfOvPm4HC5OlanLL4Sq4hNRSu9L2V1G77K7S16tdz1sqyLNc5xqwmDpOdRpu2i0W7bbSS821dtJatH6E/CHwj4J0q8TxCul7J4s+XN58h25DqeM4PBx0rjfjBf8AhrTfFGntFL5fn+btXa5zhE/xr41/ak8GftJfA2117Tvir/wUQ36fpv2X+0Jf+FSWYz5hiMfEJdvvSIPlz7969k/Yd+Jvx3+O/wCyf4a+JnxN0f8AtW71n7Z53iP7RawfaPJv7iIf6PEqBNojSPhRnG7nJNelhHDE4OGJnUlJVKfNHmcYpwaXK4uUm3fmbS5VdJ21vy+hm3D2Z5FKMMxXLUlFvlc6b91WSek5PduyaV7PlvaXL12s65o1tYRz3F9sS5z5TeUxztIz0FeY6veWmt20er6bd+dbvny5fLK7sEKeDgjkGvXItIa7sYob9vJZd3bd39j9KwvG3hsXdoXgO9e46d1968ussIqCUE+e+91a2vTl321v0emunzcnR9nZJ81++ltelvTW/fTXThfB099ZjfLBgt935h/tV00FxbxXMsl1JhG2+Xwew56V5xrOrXvhxts0Pyt1+YcdPY+tYHjvxOdct7P7MMmPzN34lfUD0rpwNOlmGOVOtUVNSvd22sr9+trfM1wtOniMQo1J8qfXe2n9I3dT1rxjrE7XOn3PmafJja+yMZwADwQG+8DXfeANFaXTJI1X53xs59GbPevO/hnZX95pltYlMIN+WyOfmc167J4MfWNJGkQN5Sn70+N2z5tw+XIznGK7MwrYWpmsaUOSNOnJpTjH4op6SlZ6tpX+Z04yVB432cOVQg7KSW6T0k+7a1Ob8d+J/CnwU0rWviP8RNT/ALN0ey+zf2hf+TJNs3ssUfyRBmOXkVeAeuTwCayPCX7TGoftS+LPE+jfst+Of7f0LT/sX2uP+zBa+X5kbMnN3HG5y8UvQn7vPBGfCf2t/iB8SPEUXxQ/Ys+H/wAH/wC2mi/sT7Z4m/4SCG28jPk36f6PIo3Zw0fEnG3ceoWtrR4f2l/2XP2t/GfxN0D9nH/hKrLVf7O8r/ir7Kx2+VYGI/e8wnmU/wAI+53zkfS5djnhsxWJUY1IcvLBypylzWjrKKvf3ZxhBtXUefVq6Psciy7M+SeZUMO60Y8sI3ozmpXjN80bfyypxg2rpc+rXX23/go3+z9pX7TX7Yv7PnwQtvBv9sLr3/CWb9J/tFrfzvI0+2uB+9MibceVu+8M7cc5wfLrH4ZftF/8Eovjb4207Q/2Ov7Q8NeNP7N/sCP/AIWFZxeV9jtsz8s1xI2ZLw/f24xxkdOS/bK/ar/aB+Knx2+EfiDxV+yJ/wAI5qGhf2//AGRpX/CfWl5/a3nWsCy/vUiVYPKVA3zA792BjFfU3/BOb4+ftUfGT4HQ+M/Bf7GH2jw/cbv7I1f/AIWLYp9t23NzHL+6kjV49kiMvzD5sZHFfmecYvG5VThja06ToufK6dRxw85PkvdYytU9jFK8f3UqUpPpJcyt7nCXDeT5vl08qzaM6WJVRzVqUlU5VCGkqkoNKHvX5Xb3nB/aSfmP7Pv7ZnhH9qbQ7nxZoel/2Pe2Oz+2vD/nyXH2De0iQ/v2hjEu9YS/yg7d209Oflj/AIKLfHebxrrg8MWrebby9ZMbduFtn6FATyvrSeAPjlrekaR46/aH8QeG/wCxNO8df2Z/YqfbFufM+xM1tNyqFhhiPvIud3G7Ga+d7mHUvG+qXGoXWsfatUn2eXF9nCedtXB5GFXCr+OPWvpK/wDwoSVCj77jdJr3XKzdnZ6tySWid7u29kfmOKpwq4l0cPL2ii2oyty8yTdnyvW8kk7b3dtznwSOhqSKWSBhPE2HHQ4/Cp9X0bUtEuja6nbeVJ/d3q3YHsT6ils5RPGtiOCc8/rXnQoVaeIdKd4SXR6O/RdLM4vZzhUcZXUl02d/0KU9xNHZSwI+Ek27xjrg5FXzp1/pjfapYdgTq24HGePX3qDXtKudNtwbhcb/ALvI7Eeh966Dw54MTWNJhvZ9V+zxybsnyN+3DEdiM9P1r0Mvy7FV8XLDqDdSKutUra+fm091+p04bC169Z0oxbkldapW+/17o5ldw+Ze1KZXbgt09q6jxbomg22mm40XxN9u2/6xfsTRbcsAPvHnv+Vcs3Hy+lcuY4Gtllb2UpXur6NNP7m107mWKw1TCVeSTT9GmvvTa/E+6v8Agkx8ZtQt/DviXwZ401//AIlOjfY/7Et/so/cec95JN80abm3PtPzE47YFfa2va5cappL2Hht/MuTjYMBf4gT94Y6A1+RnwI8XeCPAPijSvFuqeLPLmtPP8y0+wSnG5JEHzAEdGB6e1fon4H/AGjdC1HTItYstJ3A7vLfz2G/5mU8GPjGK+gwPDeJrUaeJwlqsk7tKUJJaJpSSd1d3unbboethskxdajCth0qjvqlKLts1dJ3V9d7bPsz6i+FF/q+k+GbRNc+S6XzPM+6f43x93I6EVwP/BVn4g+GfGX/AASd+JV1ot/56z/2N5EnlOu7brtoG4ZRj7p614D8IP8AgoX+0x8SPBFh468AfsIf2rpN35v2a9/4WhZQebsleNvkkt1ZcOrDkc4z0Ir1r9in9gn/AIKH/FT4ReG/2lPH3/BRf/hWl9qP2z7bZf8ACotJ1n+zvLuJ7VPnjnUTeYqKeEG3zcH7pNfA8ScTcPcM4KeYZ1UlShUmowcYSmnOSnJQUYpyvJRbja70as20b4XhfPswhKtHC1EpLmi+XljJPW0XKyle65VFttXtF9Pz0+BvhP4DeOf2r/h94W/Z6g8yW6/tb+003XQztsJHj5uSB0WT7p+vav1j/Zk8Cx/DLwFELmDy503bxuz1llx0Zh0ek/YI+IPxR/ap/Ya+FH7Qfxt8W/2xr95/bv8AbGp/YILfzdmp3FtF+7t1jRcRwxr8qc7cnkkntL63h1HT3jsl3AYzyRjn3+lfT5nmU8dTuqcIRm1JqEeWMWlyWSu1qlzPzZ52Z5i8wquoqcKak0+WnHljFpcuiu7XSu/Ns87+J3xqn0a9ktoLnZFHjHyA4yEP9w9zXBeL9bTxPpNxbmPd5mzAzjOGU+g9KteI/h+Lq6N7FdbkPQbMZ4A/vVnXHh2FW3CHBXr8x7/jXn11ThyqGr69Ox5slFJWPmTQvDV5H8RPs1iu6T0yB/yxJ7mvorw14uRvs9g0mbk79wx9T6Y6VwPhbT9M8N/GWefVX/d/LsGG/wCfc56Z9RXdeM/gjf8AiDVrvxJol357t5fl2vlhc4VVPzM49CentXr4GlSxVONHGS9jF35Z2ervazfbXe6Stqd2FpUq1oV5cie0rbu+3479LHZ2UdoNRtNdvYt0tn5nkPuI2bxtPA4OR6ivH/8AgqHqp8W/sV+PTp83nR6F/ZX2tdu3yPO1K029QN27B6Zx3xXrXgP4e+J9W1aO18XeFP7HVs+VL9uS434VieEbjGFH/AvasL9uS5+EfwJ/ZO8Z6r8XfAn/AAnejat/Z3neFf7UuNL+1+Vf24H+kw73j2vIknGM+Xt5DGnPDxwqnCVTnmoNRs+ZWfxapyWkeZ6NWe/VMlS9i5QlLmkou1mpLz1V1tzPR6Pfqn8wfBD9pLxh/wAEnPit8TPGPwp/Z5/trwDrv9jbV/4S2O28jyIJE/5bR3Ezbp7x+wxt7qRj70/ZQ/Yw+BX7VX/BXv8Aan+I3xS+Gn9u6x4D/wCEH/4Ri7/tm6tfsP23QJorn5IZo1l3pCg/eBtu3K7SST+S/jfxZ4J+HP7F11+zj4y8S/Y/Htns+0+HPsckmzfqK3S/6QgaE5gZZOH77fvcV+qv7Bv7RXhDwZ/wcFfF74LapzqfxH/4R/8AsY/vP+Yf4UuJ5ukZX7rD7zJ7bjxX5l4608bh/D7HVchrSo16VFVW1JQnTlTn7WrBSj7Nq0Iyja/Nryrmuov7jG0cswPFdCvhJRp3pyqyg3FqlVtUl7H3VDllGSjCMXacZW0vZHzR/wAFSP2b/EH7MP8AwU0T4ufs4fBP7TLpmf7StP8AhJETzPM0W0hj+a6kkAwJZT8qnOMHHBHy74y+Lfi39sv9p7wT8G/2gvAXkjQ/7S+0ad/akbb/ADrJZ1/eWyR4x5EbcMfTjkH7q/4ON/2VvHviX9svwx8WtO+GX/CZ6LqP237bov8AbUWnY8vTtMhT98ZQ/wB8F+FH3MHhs18P6H8Av2Wdf/Zo0f4+3Pw9/s6bWPtG3Sf7WvpvK8q9Nsf3okAbIG77oxnHOM19L4a55hc68NMox86kZSqUcO5ymnL2k6dOEa3vexlLm9rFxqS9r70lNtNSOjP62EwuYUsZVoJe0dGpLnScKtoU51FB+wk1eTtN+1lduXNF8x5Hrvxevov2XfBfwztWykf9o+YcD93m9Eo6pzn/AHv8K8wacTTPLdPlmxzj29qdqUmmS37TaVp/2S3bGy381pNnAz8x5OTk/jUJWJjkzY/4DXoOtNxUVaytpfS9rXPzLmk1ZbDASDkU/UbW+trN/Oj2q2M8g9xTSAO/6Uy7+S2dfXH86xg4pPmv5Wf57/oQrJamsZ9FPh/yi/8Apfphv7/5dKzCS3J7Uolwmzb+tHlsThea3r154lRslpFLRW27935mlSbqW0WiS0/rcQMRwDX0V/wTv+Ovjzwd8efDngY69t8OT/bPtlh9liO/ba3MifPsMgxI27g+x4r5+sbKxnLrf6l9nK42jyS+78unb860NB1a98GeJotb8La/5VzbbvIu/sgbG5CrfK4I6MRyPelDC4h01NWs9Pijf5q91t1SBUp8nNp96v8Aduft1Preo+KtV0iaxPmwxfaPMPC9V46gHqKwvgL/AMFIP2Tfi34z0z4WfDH4wf2h4h1LzvsVh/wj9/F5nlxyTP8APLbqgxGjtywzjA5wK+bv2bfiNr/7Vfw6u9R8VaF/wi+nWvl/2fqP2pL37dumlD/u0WNotjQhefvb8jgc+bfskfsg/tc2XxE+GU3iL4G/YdH8If219o1b/hJrCXzvtUM2390su5cPheN2c54FezLC4GthKX79R3TXI7J88bXldR1jOUullCz1kj0oYbBVcJGUq9paq3K9+aKV5XtrGU5eXJZ6yR+ulhHD4sgumew82WXy9v70rnB/AdBXsYMFvCzW/wAobr1PQ+9fP/wOF9pdzaanrekfYpT5nmW/2gSbOJAPmXg5BB/Guw+Kmu+I7J7S70TR/tgi8zzR9oSPZnYB94c55/KvPrU5e1jh5TTSvrdW9L3t0XXqefOD5lTb289Pvvboeni6tLCE3mcPN988/NjgfSuB+L/2bxL4ensIYt8j7dq7iOjoevHpVbwr4lv9Q8KwC/svss67vNt/MD7MucfMBg5AB/GvFfix4t8baXqVyukeDPtsSbPKl/tGOPfkJnhhkYJP5Vjh8O62J5VJJp9WktH3bS/EVOk51eVNfNpL720vxPFNA8DwaJqs9lJZ7Fm27l8wndhSf7xx1rlPh1aW1v8AG3Ubc/Kh8nHU/wDLsxr33Rr9nW4/tG22s2zZ8+c4znp+FeHRRmy+Mss9nb+b5m3Pz7elvjvXfmWJeZZi+aW9tb6aLz+42xVeWKxDlJ7+fkfU+g+HtF8M6ZNfQz7Jl27flY4+Yj1I6GvSPhh8UdB8y507RZ95+Td8rD++f4l+tfMF140uI/E5jMGJe43Dj5Pp6V6b4K8VSG6a5Eu4nHy7cdmHpWGMoxwmHjB6uSve/p638tUZ1Yeygk+up7roXivU9R+Ifiax+25tbX7F9lj8tfk3QktzjJyR3p/hnw9faP4lglls/Lt492T5gOMofcnqa+N/ix/wU5+Ovg79pLx5+z/8Gf2L/wDhNz4N/sv+0dY/4WLa6Zn7XZpcx/up7Y/3nX5Xb/V5ONwFdZ+wz/wUr8Q/taeKvHHhL4g/A7/hA9R8Ef2Z5tv/AMJMmqfaPtiXDj5o7aNU2rCp6tnzO205ylWnKm3RhpaMXppflt97tJ/fvqdNXB4+nhI4t0ZKlP3VLlfK2lZpStZu6eib2fZnXftcfsx/sw/tnT6VP8e/An/CTHwx5/8AZQ/tS9svs32kQiX/AI9pIt+7yI/vbsbOMZOfzj/aF/ZK/aL/AGC/2YrzxR4D/a//ALU0Xwt5f2bRv+Ff2kGPtN7GjfvpJZX+/cM/IbpjgHj9QvFtpZaKVsG1HzLjUc/Z4vJI3eXtLc8gcHvivJPG/iF9Gn8u8tMqfuHzPZc9AfWph7SliObDNq601afn26/kThMdjsurupg6sqcmrXjJxbXa6adrrba68j8lvjB/w7y/4Z91H/hU3/I+fuf7P/5C3/P2m/8A137n/Ub+v4fNivLfjnYfDe08f3el/Djwp/ZmnweX5afbppt+6KMnmX5hht35+wr7r/4KK/tQ6T4T00eErK7826u/uweWy79rWz/eMRAwDnrX5/6XPNq1vcaTb2/M+z59/wB3aS3Q9eldPs6eZ4hz92EpOVoRjZXtdJa6Jt8q7JHdmeYRz3FRqexp0Wo8vLShyxdrtNq795t2b7JdjJgEAJE/4df6U6KWKKIMrYkHtTtTsH069ezmf50xnj1AP9aLG0eSRZHO2M5y/XH4VyRhXhX9jyrmTafda9X5d+h43JOM+RrVFS8dmtzuPp/OpQoK5A5qO9VRbsUfd0zxjvWprOsRXt9JNBHlWxg59APaop06UoSlVnZqyS3ve+vyt+IKMXFtvXT9f6+ZmgkHIoJJOTT5YvKx82c+1NRUOd74/DNYOElLke5Fnew9IpHAdF57HNev/seftH6j8Evi9aal4g8T/Y/D115n9tr9iEnmbbeYQ/djZxiSQfd6554ryi5tLG1ZpbPUftCrjafJKbvz6f8A1qgSIzxvIDjZjj1zXVOnWpp0r6vdJpp266ad+5pJTheF/XW6/DQ/bHxn8O/Af7Rnw6m8C/ETw9/aukX237bZ/a5YN2yZZE+eJkYYeJTwR0weCc/AmlXfxJ/YQ8QfD3SfGfxp3eDNS/tbdb/8I5CPs3loW+8nmyvumuFPbH06dV/wTT/bF0Pwt4esvgHr0X2Oaz8z+zJdzSfbd73VzJwsJEewED5m+bPHpX2h4X8Rrpl8llZQ+aEz/pG7buyCfukcdcV35XXqYanNxgufSzbaXKm3KLSaUoydk076bLqevkmb4zJa/wBYwulROLvzSV4xd3BqMoqUZNLmTvtpbc+af2lvj14C/wCCknxR+H37IP7Pf7Q/2fRvFP8Aa3/CX3P/AAiUr+X9mgivbT5blIXOXtZB+7kXGfmyMKfcP+Cxt1BJ+wt4nsIU/wCPb7FuXJ+TdqdkfxzXiWjftefGjw/+0Lq3wr+GH7N3/CWX2g+R5zf8JjbWG7z7QzD/AFsRAwpfox+52yBTvin+338VrjTvHniHx9+zL/Yd/wDDX+y/7X0r/hM4LnP9oFFi/exwbfu7W+UP97B24NLB5JgspxSwca9qfLU95xsvtqVtUpaqSXK9Ze6rvR+7xDXzfiDNHmmNuqck4qajJUlyxknGDk2n8MnyqTvJysruxk/FrxLZfE34D6h8S/2Z737drV95X9iXvlmLfsukim+S6CoMIko+YDpkc4NQ/wDBNb9o74I2XwQ8O/s/xeMP+K1u/tedI/s+5+bbc3Vz/rfL8kfufm+/7fe4rnfht/wTs/bK1vxt4a/aE/Zz/wCCeH9l6Jb/AGzbZf8AC29On+27o2tj891cB49jiU/c+bOOgBr1nxxZNL+3T8BIFbJf/hKe3ppi1143iTL86U4UcWqtbDWp1YKbkoaxdnFqLpy54yjKMk9aduib+v4to47iPIqmcYtSoVMMoRlTcZqE+eUPfjzxhyvmbUl7/wAEVe3LJzeB/Ctv4o+Oep2+p2PnIfJ2DzSv/LqxPQj0FZvxH/4Km/sreC7XUvEvw51//hMpofJ+xeHPst9p323JVH/0iW2Ij2Bmk5HzbNo6isD9s74geNPgv4c8UePvh5qf9n6va/Yvst75Mcvlbngjb5JVZWyjsORxnPXBrz/9lH4hfAHw9oGgfCjwl8Y/7c1uH7V9ntP+EeurbzsvNM3zOpRcIWPLc7cdTivRyitXzTE8tXEqmuTlhf3vebUYqMedNN8t+a1o6J/Ej4zhjLZ8R4/2FfFxopRSi5NNttqMYwi5xbbt9m9rJW1R2P8AwUH/AOCcH/BQODwB8aP+CgH7b/7MH/CMXI/4Rz7DqX/Ca6Ve/Zv3ttpr/u7C4w+4eQvMXG/I6M1Zn7Zmu+APjJq/xj/b6/ZJ/a7/ALUW1/4R7/hI/DP/AAgEsHk7lg063/0i9C7s7JpPki4xtbqrV9O/DL/gv38PP2tPh74u+AHiz4Hf8IVqmvfYP7Df/hJptS+1+RK9zNwljGse1YR99xnzOMlcH5Y/aL+B/i7x94u8a6x4Y+NP9leHfiR/Zv8AbOkf8I5HP5/9nxxLD+9dw67ZFLfLsznB3AV+feGUPFTPsvqYrN8LTo4qNWUYOhamnDkUua6rTSlzTnFpSXuRXuWWv0j4RxmOy+nmfD1dVJQk4L2aVKTT5pSnJ88XFpz9mo8qfJyte7a/6JeIv+ClXjH9pb9iibXbH40/21DrW3bL/wAI5Hbed5OpBTwbdCuDFjoM7e+efnH/AIJXXNvb/sQ+CUU/vH/tLI55xqV3XN6T/wAFVP2SNA+FUfgCDx19plizif8Asu/TdmcydPspxwcde34V5x/wT9uYdF/Zj0XW72bai/afLXaTuze3KnpnGM+lbcKcH5JkeFxeDwNGnhqftatVezVO0+Z0oRtCmo8kbK8VK7Sur6M7fEf+wcXhcJTwNei+SNSUvY8vK5N0Y/DGT5ebW123aNru1z6y+M/iEeFbS51kHyxNs992Ci+hx1r8u/2w/jDeeOPEZ0iw1HdAv/H7D5IH8ELJyUB6rnj8a9d/bB/ae1rUtGk8P+FtS8m4fHkN5KtnDQs3348dAepr5huNF0Ky8AF7jxLt1NeumfY2PWX/AJ6A7fu/N+nWvoqWXVsWqiekacW1J2SlborvV+Sbe9kfk9LCVMQpu6SjFu7aV7dFdq77JXb6IvfszeAPDnxO+Pfh7wN4r0n7dp999r+0WvnvFv2Wssi/MjKwwyA8EdMU39pzwD4d+GHx78QeBvCek/YdPsfsn2e1895dm+1ikb5nZmOWcnknriuNtINNuwyX52njy35OPXgfhUc1vaWk7JZyb1OOcEdveuacof2WqfJHWfNzac+1uXa9uvY63jcN/YH1P2Efae05/aXXNy8vL7O1r2v73xWv0vqMDEcA1HdI32ZmxwMZ/OpXCbjh8/hUN2ALdsHPT+deY9Lp6njlq6SBJmEQ+XjHWtTxGPCf2dToP3+d3+s9R/e/Gs5bOGaPfHdZc9I9h/nUEaCRtu7GfavS9tKhTnT9nFqps9G1/ha23OhVHThKPKnzdd2vTsaQ8Xa7HpFpo8WoYgtPM8mPyl+Te2484ycn1rLqaaNIETbLuY53DbjFQ1yYqtiajjGtJvlSSTd7JJJJau2iRnVq1qjXtJN2SSu72SSSX3JIMnpVrTjbAP559MdfetLWfh14y8O2L6prGjeTBHje/wBojbGSAOFYnqRWI3PzetayoYvLa6+sU3GVr2kmtHpez6XLq0MRg6ijWg4ve0k1p6M3/hR8T/H3wI+I+nfFX4S+Iv7H17SfO+wah9kiuPK82F4X+SZXRsxyOvKnG7IwQDX33+wD+1xpn7QsHxG+BH7R/wAXP+Eq8Vat/ZH/AAqy3/sBrH7T5RuLjUvmtYkjTbFHEf8ASGGdn7vJJB/OStLwtpA1PU1km8P/ANpQxZ822+1+Tuypx82cjkZ/D3rhWBlj68I4e9Ot7SnONSPNzr2c+dR927cG1aaS5nHmUWru/wBJwrxNmmQ4+msPJunz3lDmmoyTTUrxjdO6trySacYtJpNP9LPiH/wTG0H4geOdQ8a6t8EftYv/ACvKuf8AhJWj37IljPyrcjGNoHQdK+SP2mfBn7GPw98B634Q8I6b9j8fWf2b7Pb+dqMmzfLE7fM5MJzAzHk9/wC9Xg3ifTdOg1mWGHQv7NC7f9E+1GbZ8o/izznr+OO1dd4Q+Kvg/wABfEfQvH3gj4S/ZW0v7V9qtf7ekf7X5sLRr80iny9u5jwDnOOOtfTyzTEVqs8Jj6dHmlJRdWNKSklrGUmpSc5Td1K75XzJ3jd+79Rm/GmS5pVnhlltGjKpJxnVcfaSipXUpxSp0586vzJt3urWu9PvTxX8cfDfxo8ERa14K1n+0dP1Hd9luPs7w+Z5coVvlkRWGGRhyBnFZ1hbX+iwT2wfYItuzgHGSSfX1r5j/Z7/AGkfB3w1+G2keFtb1TyZ7P7R5q+RI23fNI45WNgeGHesXxp+0v8AEn4s+Obfx5ZXX9lppW/+xrPZDP8AZPNiWOb5zGvmbtmfmBxnAxiqyXFVFSlgHTUozV9dbO8XdLZOytrrq9eh8FgMTONKeF5FJTXXWzunddnZW72b7n6H/Cj44eH9sGiyX2+V93yeU4zje3XZjp713HjX436TNpDWt2N0PHmL8wz8ykdEz1r4c8L/ABbtprSDxBbWuxDu2/OTjkr3T+lc141/bN8JXekTDRdS+1y/L5dv5MkefmXPzNDjpk/hW/E+S4LJs3pUsNOXs5pS5npZuTTs7JWSSd/xOziHKsHlWYU6WGnKUJRUrtW3bWmiurJO6+8+lvHHxl0Sxs3j01NsZxgZY919U+tfnz4q8ba/o/w/i+EHh34s/wBq+G23edZ/2CkHl4lE4+dlMhzISeG4xjocVH8SPjL4r8dy3Ngb7y9Nn2f6F5UZ27dp+/sDH5lz+nSuMIUdGz+FfPSr1sLXqezqNp3i2pNc0XunbdPS6vY8anicRhZz9jUa5k4tptc0XunbdPqnozS1LXri5h+zR3e6N/8AWL5YGcEEdqprBcSqJIEznqcio5FBG5GyB146Vb0ZrBfN+233k9Nv7otnrnpWqrVcbi0q8rX63slZdG3b8d2TzTr1Epv8f8yCa+nnUiSXOevyioKUqucK+fwo2MBnHSvPqTq1ZXk7/iYNuT1Hw+WoJl79K2LPxrrWnWi6dp+p7IEzsTyVOMnJ5K56k1ix96RgAcK2R64rrwuOxOCXNQfK3pdNp/emtP8AgG1HEVsO705OL7p2/ItQalqljnyJtu7r8qnOPwoqoAD1OKKhYzEwXLCpJL/EyVWqxVlJ/eTPdXN0xWWXO7r8orSt9INvp9zqy3PzW2zauzruO31p3w9fwpH4ws38bnGljzPtR/ef8822/wCr+b723p/KotM8S3uganDrGh3vk3MO7y5PLDbcqVPDAg8E16GCeHjSWIxM7ttx3vONkve5W1fWV43au4tXW51UIUY041qsrptqyd5Rsl71rrT3rx1V3Fq63Kt5qZukjR4vmTOW3dc/hVZQANzDI9K2Nb1/xD4vuf7R167+0N/A/lonYA8KB/dH5VXHhfWW0j+247H/AEftL5q/3tvTOevHSssRhsRiq0p0uapFK93GzsratJySXnd929TOrSnVqydK80tb8tnZdWk2l979SjBdT2sy3ED7XXO04BxxipL3UrjUEjFy25kz82AM5+g9qgLuw5Nd58Bf+GePtGs/8L6/6d/7J/4+/STzf+Pf/tn978O9Y5fSq42ssIq0acZ3u5y5YaK+r1tsknbeyNctwk8wxccKqsaalf3py5YKyvq9bXtZab2R9hfsHft3w+PL6LwF8WLvd4nTd/Z935ZH9rZFxJJ8sMAjg8qJUHJ+fqOcivav2uP2cdc/af1Pwf4y8M/Fz/hE77wd/aHkXH9gLf8An/a1hRvleSMLtWIjkNnf2xz+StnDOtmtwF+XnnI9cV9Ofs8f8FDfil4e12bSvij4j+32l3t8i8+xwRfYtiyE/JDbkybyUHP3cZ9ailUxLr05KTjNNcr1VraqzWq12a6nNSqVoVoThJxkmmmnZprZprVWezRB4s+AHxHl+MPxP+Cmo/HT7TEv9i/27f8A/CMQp/ambcTw/IJMweWcL8jfPjJ9K9V+MfxP+PfjrxB4w+BnwJ+FP27VNC/s/wC0eJv7dtYvJ89EuF/0e4UK2VWSPhjjG7g4FeXa58Sfg78YfG2kfGD9ob9mP7LaeO/tH2bxP/wmlw/mfYoxA3+jWyqRgpHHyq5zu+bk12XgP9oD9jP4I2OpJ8F3/sv+1/J+38ajP5vlFtn+vjbbjzH6YznnOBXvyzvEUMHCFBSjVbbnW55Nyu3JW5l7nLz3bi7yfvN3aZ9lS4qzHJ8qlhcPCVOvVs6lZyk5Ti1OStGcfduqqkpxab+JP3rnM/Cz4IfFlm8a/CTw/wDtA/YNM8Af2b5C/wDCKQS/a/t2+ZvvPuj2tnqz5z/COK878UfErxd8E/iXrHgfxJqf/CS/Yfs/k3Xkx2eN8IkPyorf89AOSfu571a+NNv4W+MHiew1bwF4L/tnW/Fnm/Z77+0Xt8/ZURW+STan3EYc7fu55JFeR+KPC2s+CfEt34X8RaN9gvbXy/PtvtCy7NyB1+ZSQcqwPB71wYuFJZa5xotv2lvaqU2rculPVct0rPfmsrWsePi5YSpkdN08I1OM7Sr803GXxNQs1yJqLjs72je2rP0p/ZC+M7eNfhlp3jGLTfsDXXnZtvO83ZtmmT72wZztz071794H+IOo+Kd9rNceUUxsfYGxncTxtHpX5afsv/tSXPwouY/CXiybfofP2ebaB9i4lduEiZ5N7uByfl+lfWcP7Zngfw42oNqviHyodC8r+1h9klbyfP8A9V0hJbJI+7nHfFedQqUlTnCUU5bp9ra7dbnhwlFRaa17nzX8Hv2afC0Osa78J/jj8IPsXijwr9l/tSX/AISB5PO+0q80fFvJ5a4i8sfKzZzzg5Ffc3/BMHxjDof7BHgW3lkzt/tP5MH/AKCl2euD618u/EjxV+wh8b9W1z4xeJdD/tO9T7N/bWp/atUhxlVgh/doFH3Ywvyr2yeua5y1/bZ8BfDTwZd/Dn4SaD5Oi6L5f9gW/wBqlb7Z50nmz/NNCzx7Hdz85O7tgYFdeNzCjjMuw9GNGMJ0lJSklFOd2uXmSitYpWu229W3du/p4/MqGNy7DYeNCMJ0lJSmlFOpdrl5korWKVrtybu23du/1B+1V+0p4V8L6JJqkrfZ4rbG58O+NzQjp5Z7n9a/OHX/AIt+JdX8VX/ijSpfsLX/AJXnRbUl+4gQclB6E8AdaxPFXizX/G+vz+J/FN/9qvrnb58/lIm7agRflQAD5VA4Haq9hbwTl/MTOMY5PvXNha+JWKjOhNxlsndprTXVao86jVrU6ylSk4yWzTaa+aIg5uJMP1PU1e07UL3wpqkGr6bPiaPdsbaOMqVPXI6E1SlCSSFLfkHoP/11f8QDRwkf9mjnnd9729fxrahGcKU8RGaU6bi072d7/Z7tb/MqlzwTqxlaUWmnezvfp6FfXtcv/EWpyatqUu+WTG47QOigdgB0AqtApeUKDj3plAJByK8+depWrutVblJu7b3b6mM6k6lRzm7tu7b6sbeSs1sy54OM/nUhkdR5YPHpUV47NbncfT+dazx6Amm4YYuR/v8Ar+XStqNKeIcmppWXV2v5Lz8h04OpfVK3f8ibR9AGr2N3LJdbWh8vadmepOe49KgXSPs91LbfaM7NvzbOuRn1qOw1G7e6Vmm5XO35R6GotZa5aWS+kXcBjJyB6CvUlUwLwsKsKTcotpu71Wru9Xa10vludLlQdGLjDVbvvv8A8D7iFEMrct19q0fDutar4T1FfEeg3fkXltnyZfLVtu4FTwwIPBI5FeueMP2bdF8Bfsr3Hi/xZ4M+yeLLTZ9ouP7RaTZuvlRflSQxHMTAcDv614jHK6K0YbCtjcMdcVnmOV4jJalOGKS5qkFPS94810lJNK0k1qunc7c4yTG5DVpU8WkpVKaqJa3ipXSUk0rSTTutbdz9FP2GP2qbT41Ta1Y33gr+zLjTfs26f+0jN9p8z7QfuiJQm0R475z7V9d+HLiBmAC4Dd8ntmvxX+GfjX/hA9ZHiTTtT+yX0P8Ax7zeT5mMq6twVI+6xHI7193fslf8FBvCPxj8SP4E8W+Fv7E1GTH9kx/bpLn7dhJpJeUgVYtiov3j827jpXLWor2FOo6vM5Xulq4pWSvr22PMqQtTjNyu306q3f8AQ+0n0xLxPJXmOT7w9cfj618o/Df/AIJu/tEfBnw9H4S+HP7cf9nWEedlv/wrO0mxl2c/NLcM33nY9e/0r6M0rx1DBLb/AGI7TNvz3zjPqta0vi27vY/9Dn3SJ/rBtA69OorKnKvSX7uTipLWzaur9bdLpfNI2weOx+XVfa4SrKnJq14ycXbtdNO11+CPiH9pD/gn58U9A+Ffwf8AhL4B8Ff8LMsPA3/CQf2039pQaN5322eKaH/WTllwxb7rNnyudu4Cqep+NbP4y3ni34E/Hb9nX+wtQ0L7B9tsv+EuN1jzwLhPnt1VfupGeGP3sHGCK+4Z/ELWVrkvsRenGcc/Svl79oD9mv8AZl+MHirUvih4h8C/2hrl95P2+8/tO9i37EjhT5FkVBhEA4UdMnnmvayDMcRgK6/d+0o3fPH4VK8eVKUlFu3913i9Vb3pX+g4X4ox3D85QjTVShO/tIOMffTi4pSm4SlZXulture8zjf2AtH8IfDf43/Fvwz4X0r7BpsH9gfZbXz5Jdm62uHb5nLMcsxPJ7+lfefhvxJb6LoBlgtuF+6N5/vn1B9a/OL4c+FvCHwZ8RXsXww0X+yvt3l/aF+0yT+ZsRtv+tLYxvfpjr7CvtXwg1hrGgY1Gz84P/rP3hXdh2x0xjoKjNcDToV44qbiqdWUpKEHfkV78r+HZOy226Hl5pSpyxLxa5YwqylJQi78ibvy2tFKydla22yPYL7RxrcL2Op3XnpLjjZtxjnsR6Cq9j4I0+wj8mFcY68n/wCK965fw14q8SwT/wDE7lyjdPlT0P8AdH0rS174r6D4WkRdd1Ly1uc+V+5c524z91T6ivI9niZVPYUnzX1tHVP5LyPLUKkpckNfJamlZiz1ayjjlssCTOW8w9j/APWrlPiDpdvf6NNaxX32Rjt2TeUZMfMpPGfbH41ifDbx9cRfDvTb7XLnfL++3tsA/wCWzAfdXHTFeE/tV/to+Dvh5FFpl7rfkS3u77MPs0jbtnklukJAwG74rXFqeXZhOnB6wk13V4u3XdadS68JYTFSgmrxbXdaPz6Hw3pvw28e/s6eJfD/AIj8b/DD+wbnRPtf9r6t/bUV19r85CsX7qNnEe0Sqvyg53ZOMccJ8TDPN4uvb+afc58vJ2gf8s0FbXjf4seKPi/ql3eaydto/l+VZ/IfLwqg/OqKTkoD7dKu+Jta+Edz8KZ7TTrndrzbdi7Lgf8ALcE9Rs/1ef8A9dezgcvpYzLK1etOEJKKlC7UW+SLTikkk5StF9W3q7ttv1MLhIY7C1alScIOMU43tG/ImuWKSScpaebau7ttnnM8AhXg5zTrPVb+wUraT7Aevyg/zHvRY3EX2pPtr/uud3Htx0967aHwToHjDwvpsvgfTPtOow+d/bR850xl/wBz/rGC/dVvu+nNceX5fiMxlKWCmozitI3fM9UnypXb3u/JN9DkwWBr4xy+ry95K6jrzPVK0UrtvW78k30OBOM8Co7r/j3b8P51Jg4zio7r/j3b8P514LuecTEo7fKm38c062jNzOsW/Gc849qR8KPlpqkg5XrWz5YVFfXXW35FaJ6lp7aSRjaPPlYfu/L681DEPKQXA6jt+lSWljd3xY28W4rjd8wGPTrVdXZDlTXRUajy1HFq97PXpa1r/wAuxcukrf1/wD3P9hb4XWX7YH7WPw//AGcfiXqG/Qrv+1tieUR5e2wuLo8xNG5y8K/x8fTIP9Ff7A3/AAS2/ZC+Cn7N2ieHtP8Ah19run+0/bdQ/tfUI/tGLy4ZP3ZuWCbRIV4POMmv5c9G8aeK/DniC08UaDq/2a/svM+zT/Z432b0KN8rAqcqSOQetft3/wAGz37cvghPhT8QdA+NnxRxqVj/AGTiL+xJfk3z6o3WCDacr5Z6n881+JePmWcYZlwFisdkOaVqdSi6UnQpU7VK6dSNNpVac/avl9oqjo8sqfLR9ppJLl/ROFcwhPK6uEwXPHG83PGcFac4WhF0lKMufTWo4pNWg33a8n/4K5fsVfEXxt+138Qfh/Y/tHf2f4Vuf7J2aD/wh8Mvl7bCzkP78zCQ5lXf14zt6cVQ/wCCeX/BS/Qf2i/B+jfBv45/EL7d8Tbv7R5f/EpaL+0tslzOf+Pe2S3h8u2ij/i+bH97IP71+JfDWi+L9Fm8O+IrL7RZ3G3zofMZN21gw5UgjlQeD2r8Pv8Agpb4o+F/7Nv7YH7NvxN+KV//AGJ4es/+Ex/tG+8qe52b9PtYo/khDucySoPlX+LJ4BI+a8FPHOhxzgcNkGJwkoV8PSp0XUlVc+fkp350rQ5G/ZyvD3oxU9HfVdufUsFxDkFbNWpRr4dQU3KUp8/POKTjeaVOz53yKDglKys7OPrF9YWd1PIuzYRjByT2qjqOhfabZobddp7DOe49TXyj8N/+Cw3ha81/w9f/ABa+Af8AwhXhLxJ9r8jxT/wlL6l5P2dGB/0aG081sy7I+cY8zdyFNfWPwl8e+CP2gPh/p3xS+G2uf2jo2qed9hvvs0sPm+VK8L/JKqOuHjYcqM4yMggn+iqlKVOVmraJ66aNXTt2aaafZprRn5bUpVKMuWcWnZPVW0aTT9Gmmn1TTR4v8Y/Csv2WSRxhkxzn1Ke9eK3FnfTOloF5TOeR35r698d+GoLoPE67kXGOSM/d968lg8DWNj4uiWSH5X3bjuPaP/erbCV6FCXNOHNYKc4wldq5o/BzwtdLp8UqQ7j82PmAzy/vXuI0+LStI/tGWy3L3XzMfxY/rXPHw2nhHwrdX+gv5c0ezyWxnbl8H7xIPDHrXqV1Z2t+cWEfzp05PGfr+NKVOPu1nrGUmrelnr23/MHHRTezb/C3+Z8I/tJfsaftDeL/ABr45/aR/Zp+KONe8R/2Zs8D/wBiWn+k/Z44rU/6ZdTBE2xrLN9wZ+5ycGobT42/tc+I9eXQ/Ev7CH9ra1Nnz3/4WhYW/m4XcOEQIuEA6Hnb6mvuW98JeD4ZoJvF8f72Xd5fMnbr9w+m2vJP20fj5+z5/wAE8vhrp3jbUvCn23xRqXnf8In4b+3Xcf8AaXlzQR3X+kCOaOHy4rkSfvAN2Nq89PVo42hRwzVSdVWv7PlaSi3du0ndqLdnJRtzNJvWKPrMk4vznIcNOlhsROMWvdjaMop6vTnUkld68qV76vRHzd8Cf2f7D/gql8RtUtfjN4a/4QqH4O+R/afhz7YdS/tn+1oZDH/pEEkBt/JNokny+Zv8zadm05/TH9lzSfgb+xL+z94d+BfhL4M/2hBpv2vN7/wkVzD5vmXctx9xzKVwZyPvHOM+w89/4NzPhb8efCnxV/aM+Jvxu+FP/CJnxb/wiH9mWX9u2t/u+ywanFJ89uxx1jPzKv38DOCa+5P2uvjH+yb8Jf8AhHv+GovEf9n/ANofa/7D/wBDv5fM8vyfO/49EbGN8X38deO9fxN4t+ImOz3xUxXBVLBVsdho1IzpwoOXtp2w6mrRpQhUmknKUoufKrObiuVW/Tsqz+ksxlSzDA1JYmcpc01eFaUUvcTjGNN8vJGF43jF29py8x/IveeKbzV/B+jeGZkxFo/2jyWyOfNk3nsD1Hcn8Km8NXVzYR3HiCCbEtls2DaOd+VPX2Poaw7Un7Ooz6/zq0HWNhLbnG37x/8A11/Y2Br/AFbEKqunnrezs1/hevyPwfD1HRqKa3W3r0fyep0ujNF41vru916HzWTy/LG7btyCD93GfuiqVlpNnd+Ml020TyImztGS+393nueeay75Ims7e6A/eSb/ADG9cHAqTWU0p9WkTRB/o/HlD5v7oz97nrmvaq46EoQdWnGc4zjKUr+/NSvJL4b2S0ers7W6HfPExlCLqRUmpJt396V7vtfyeumhqfEWGJLGJlTn5sHPutQ23iTVNL0VbG0n2omdvyqerZ7j3rDvlnitWVxgNjPT1rX1LxLqniOR5NVvfOlmx5h8tVzjGOgA6AUpZnGtjauIg3SnKKSS9Orunuo9H+GsyxanWnVg3CTSSS/HW67Lo/w1oNqt88D2zz5STG4bRzg5Haq5JJyamntZbUqZk27s45zTTBMyiQJ8rfdORXg1ViZytUbbXe7sv6f4nny55P3rux0Oo+AbeH4bP4xF9lxj9z5R/wCewTru/HpX64f8Exf+CLH7En7X2oeL7jx58PvLg8Nf2f5dt/a2pHzvtAugfmjvIyuDCp759uc/j7b+FtW1DThfRWO+B+j+aozg46Zz1Fenfsn/ALdH7U/7Cus6xrn7Jvxh/wCETn177P8A2q3/AAj1jf8Am+QsyxcXkEoXAuJvugZ385wMcfiFgs7zPgjFYHh+McJjK0KSpVpt+64zUpzTcG17SF4Nxu43TV+n2GWZxl2WYepCrgo3qRhyzlGNRpx5m5RjUjZqpdJ2a5V7y5mkj95fi1/wTT+Af7H3hDwx4B+EGn/Y9Hk+2+TZ+bdSeViRJD889zIzZeZzyeM46YA+FX/b2/4KM/EzSfFv7Jn7CHwt8pPCf2DGqf23pDfYftTfbP8AVajAvm79lwv+sbb14+UV5B8C/wBoP9vj/gpt4g13Xvin+2z9k1Hw/wDZdkn/AArbSpPO89JFPEMcCrhbVOxzntzlf2If2oP2Hv2JYbnRPCX7QH2+XVdn/CQ+IP8AhFNTi/tLyvPaD9w8Uoh8sTlPkI3Y3Nnt8rwXwZmMOFKeXcXYqnj8TC1RyqpShCUXUsqfNfmnyzilNwhKKg0rczPq8z8Ra2I4eoZfgJuFSCfPNxpwVkmlCmo81mk0lKPJJcitZt2/Uf8AZI/ZRvf2WP2M/DX7M+ifFL+1ZvDP2zy/Ef8AYgg8/wC0ajNdH/R2lkC7RMY/vtnG7jOBBq3gvxF4Lfeur/bJB/r7r7Okfm9Nvy5O3G7HHXGa+W/E3/Ben4Z+HvEHh7wj+zN4C/4W3qWsfa/t1p/ak2gfYPKQOnzXdiVl3qZTwRt8nByXFesaB+0F/wAFZv2pPhtpfxM+Dv8AwSV83QNS8/7Jf/8AC+dBX7R5cxif5J443TbJE68qM9Rxgn6nNc5y3IcqWIzSvTw+Hc+RVKsowh7RxclBTla8nFNqF72TdrK5+XU8JjamE9rGm3T5rc3K7c1r8vMlvbW1/Ox8g/ttftEftF+Evjj4P+B3wr+K/wDwjpvf7Q/tDU/7Cs7vz9ltBcR/u5ozt25deGGd2T0Arhv2e/8Agqb4If4ZaPpf7QXjHzPEg+0f2tqv9nyjP76Qxfura28v/V+Wvy/U85qL9s39pT9nD9vn9jHV/jkPDf8AZnxA8I/Z9mg/bLyb+xftWowW5/f+XDBc+db2+/7rbM7eGGT3Oq/8FR/gV4o8Eav4X8TfHPz0vPs/lwf8IzdLv2Shz8yWwxjAPWvrJSo4mrTqxo0oqXLzOc5rSXJBzhGPKm4SjUm02o+9yvZNfbcO5RkGe06jxdanhZRSs6jdp80Um4r2lJJwlCUvtJ+05WvdR45+2T+0R8Jvj38EvFV/8LfE/wDaP2b7D/aA+xTw+VuuYAn+ujTdny36dMc9RXa/sC+H1+En7UvxJ+GXw/m+xaR/xJ/Mtdvmb/8AQbiUfNIWYYd2P3u+OmBXmfxV/Z+k/aK8V6L8ffgb8JP+E20bU/tP9sn+3v7N+1+XGltD/wAfEiPHseKT7qjd5fOQwJ+j/wDgnD8MvhV/wpKx+NPw4+G3/CNN4m83+0Y/7ZnvM/Zrm5gj5lb/AHvuqv3uc4Br0cTHDYeTw/7ubirJq7bTjUlGSvFxWtaKcVNtSp310awzrLVkNJ4apCM1J/u6iUrTjy1GpQbi4tP20LqNSTjKmt/dkfYuh3UJgtmurDfIm/aPNIxkn0qr8fv2GI/27/2fNT+F0/j3/hFGvPJ+z6r/AGX9u8rZdxzN+68+Ldn7Pt5bjfntg/KP/BTL4Q+GfiR8dv2fPh14n0j+0tP1P/hLPtFn9oeHzPLtbWVfnR1YYZQeCOmOc4rxxvhz4a+EP7H37cnw68K6N/Z9jYf8Kz+zWf2h5fL36h5rfO7MTlnJ5JxnHtXy0VOng/bRkk7uNr+9Zxd/d7NNq/c+djlOLhkX9rJr2ftHRtd83M4cz0tbl5dN736dT9B/2N/+CaFp+xD468X/ABz+Jnx0/wCFi+KNe/s/+z9R/wCEYOkf2f5EU9vJ+7iuZY5fMinReVG3ysjJYkeP/wDBRT4o6D8HPjn8Jv2h9P8A2z/+FO+MPCX9vf8ACJ6r/wAK6fxD9p+1WttbXX7oq0SbYXK/vEbPn5XBTNYP7VH/AAQa0f4Wf8E5de+JPhv9lT7B8TrD7L5N7/wnLS+Xv1eGI/I181uc2zkcg9c/e5rxT9oX9sfwZ8WNY/Zq/av8f6L/AMInpN5/wmX2y0+0yX/2XYsdmnzRwqz7nRTwnG/B4BNfM5bxDkfHWHxVCnWhisPGrUw85c0atKdnedmnKMqclPm1tzKV2ve19XM8ixuEznD0Mdi4yVWSTrRk5wi3P37yly+9Fy55q6tzJtrmueYePP8Agtv+1N8cdK0r/hpC4/4TPWNL8/bq+yx07f5jLn91a2aKMJHEvf7meCTXgN78RLzXv2ftE+H9jre2LQftP2+z+zA7vPu/MT5yoI5GeCfQ46V+5v7Mv7QH/BMr4l/soeBdZ8U+Lftupj+0/tkn2DWo/wDl+lVOEjVfuoOg7c81+I/7TXxUuvjJ8bfGvjzwZr39paPrH9m/a7v7KIfO8q2ijX5ZFV1w6MOAM4ycg118KZnHF0a2URyuphcNgnUpUU8PGhTqJuparh+TlVSm3TVScndJVIy95zufT8WZXWw+T4eeJxjrwhzQpR9lGHu8r/eQcZtzh7kG5O65ZKW7s/MJ2ifBjh246/NnNM2hhkcVJYtCl0r3BwgzuPPp7V02rnTovC+j3PhTi7l+0f2m3POHAj+/x0z938a+iweCjjadSq5L3VdxS956xXurS+stdtE2fmlDDe3hOfMlyq9ur1S0XXe/omzlRj77DPtSalGFtyQf85FPt4ZriRYolyT0GRVe6/492/D+decny09Y79f6+Ry9Ni9NZJHamYHJH+Nbtt8OZ7zwl4u8Xxa/5Q8LfYMW32QN9p+0ybPvbvk29ejZ9q5wTEx+WzcemKiljjuJjNOMsep//VXZHE4OKbdK91pq1Z8slfTtJxl58tnozqoVsLTbdSnzaNLVqzcZJPT+WTjK3Xls9GyzHCbqR2V9uMcYzTzDgbt3zeuKseH73TbFLiW/l2r8mDtJ9fT8Kzrea0mkyzZUfe4Na/uqdCnO6cp3vrtrpfsQ1GMIyvq7/LU634FfE/8A4U18UNN+JzaH/af9led/oP2nyfN82CSL7+1tuN+funOMcZzX7ZfBjU7G90aNtHm+QZ2/KePmf+8PrX4WadoGq6qHOn2nmCPHmfvFGM5x1Psa9P8A2Wf2qPiJ+x38RJ9X0W0+1afd7f7c0PzIU+27IZlh/fNFI0expy/yfexg+3NVpYylhk5Rapt72dm9dm9L2VvkyZU60aSbT5X16XP3D8G+IZG8RLal/Kh52x43Y+Rj1xnrWr8XvG1xp3h+51O3fzSmz5cBeroO6+9eQfAn44fCv4xeCbLx/wCAdY+1Wd55n2W6+zzpu2SSRt8siKRyjDkdvoaZJ8V/DXinVbTwz4c1bzFufM8+L7O437V3ryyjGMHoa6KdKeLaqQptxgry00srt3a2uluyqdOdX3oxbUd/+C+h8hfAP48/8FFPid8GdC+K1j+3H/ZQ1v7V/wAS/wD4VnpE/k+TcSQ/6wou7Ozd90YzjnGa91/Yv+OHxF+O/wCyj4R+JPxZ1r+19e1f7f8A2hqP2aG383yr6eKP93CiIuI40XgDO3JySTVjwT/wSZ/4J+atcNBqnwB34xg/8JVqozw3pdewr3rwT+zt8Hfgr4GsPhZ8JfD39l6LpPm/YNP+13E/lebK0z/PNIztl5HbljjOBgACuWpVw86MI06fLKKfNK7fM+jt0t5HfmGMyrE4ahDC4X2U4RtOXPKXtHaPvWekNU3Zae9bojhIJL23uBPLD8r99w5wK8ys57ZfjConGCc46/8APv7V7rrPhXXo7GW3gj+b5dnKc8gnvX4+fsTDwUfjt8LB4M/5GT/ief8ACQ/6z/n1n8j/AFn7v/V7vuf8C5qsNhHiZP8AeRi1bd2veUY6d3713/djJ9Diw+G+sKb54x5Unq7XvKMbR7v3uZr+WMn0P1c1j4c2+pTN4hhtMPxt/eHngL/e9vSu08C+F9QdiTHt2e4Oc7veuy0+0s7nT1jtx+8fPPPYn1rU8W31h4e0YXBufLDfe+QnHzAD19an2lTE8tNu72XkuxheVSyep8IftB/Cv9uf4dftqfFX4wfBL9nj/hJvDfjX+wvsmpf8Jbplln7HpscDfu7hmk/1jSLyq/dyMgg1s/8ABLb9n34m/C3TPEnxR+O2vfaPE3j/AOx/2npX2WFP7P8AsLXcMf723kaOXzInjb5VTbjB3HJr7Dl8Y2Nz4WjltbvIbOD5Z/v+4r4W+I3/AAVg/Y7+Gnw/u7/4H+Jv+Em1Ox8v+zPD32LULL7TvlUSfv7i1ZU2q8j/ADZzs2jkit513DDOg7pxelklf4tZNJSbV7R5m7JyStfX06+b5hXyunl1Wq/ZUm3COiScm3Ju1m3d6XvZOSVr6/Yvxa1q7uEs9c0zUvs0lj5mz9yH379inqOMc9j1r5h/am/aj8J/D3wVLqPiWTzbi325uMSLndJEPupER0YCsrxx+0J/wUDX4f6t4juP2B/7P07TvI/tG/8A+Fp6VL5XmSqsfyCPc2W+X5QcZya/N/8AaX+IXxL8a/E68tPibpf9nXth5eNN8+Gb7PvhiP8ArIlAfcqo3fGcdjU4fEUa2XyqQfMoS5OaK2lZS5HJbPllzcrd7NO1mmVjMpzfLcOpYzD1KavZOUJRV3ra7S6XdjL+MHjrXfiL43n1PWLjpt8qPYvyfukB5VVznaK5ew1K80ybz7KbY3rtB9fUe9XtQ8Oajplm8t/Z7CmN58wHGSMdD7is19qEGPirxdKrgsRzpOm73Su7pN+dnp3OCtGpQq3s4vfrdf8ADDry9n1C5a8vH3yPjc2AOgx2+lay614Df4df8I0vwp/4qD/oZv7dl/57b/8Aj3xs/wBX+76/7XWsVju5J570gBJwK5YYqpCpOTtJyTTuoyeu7XMnaX95e8ujFRxVWjKbVm5Jp80Yy33a5k7S7SVpLo0NvQFt2A74/nT1AJwaiuv+Pdvw/nVn7bc+R9l835P7u0euaxhyOXvO3yv+qMFbqX/Ep00+R/Z+m/Z/vb/3xfd0x16d/wA6zo0D5z2pqEhgRUoWecbYxnb16V11qyxeIlW5bN/ZSXZLol67GtSp7Wo5236JJflYj8xtuz+H0ojmeNWVTw2M1e1q3020uJbe2Tay7doyx7A96otFIv3l/Ws8RRrYas4N3a001t0sTUhKnNxvt2Lvh3xPrnhTWIte8P3v2e7h3eVL5avtypU8MCDwSOnevrP4Ff8ABTjQdL8T2emfEDwp/Z9g/mfadY+3vL5GEkK/uo7bc2WKpx0zn1r5GsNI1HU9/wBit9+zG75wMZ6dT7V6t/wtz4b/APDGX/Cqv+Eg/wCKh/58Psk3/QR877+zZ/q/m+97deK78uwTxEKsq1b2SVOco32m429yN3HV36XemzPTyzL6WNjWdasqShTnOPN9uUbWhG7Wsr9LvTZn11d/s5+PtZ+PGrfHP4O/tJf8IfN4i8jfa/8ACHRah5X2e1+zj5p5AGyA5+6Mb8c4BrlP2oPgB42+FX7M/wAZPiP4/wDjX/wmWr+MP+Ee+33f/CNx6dt+yXsUSfLHIyn5HUcBfuZOSSa+af2YtP8ACnxu/ak8NaF8fIf7T0W++2f2lFukh37LGVo+bba4w8cZ+UjpzwTXtP7Wf7Nv7LP7P3xN+GnjC5+Hn2L4e+KP7Z+0t/a19J9s+zQwovSR549lxJ2C7s916c+JnKcVVbfIk4xc2/ek7ycI3bXNaUp8qd7KU+57MMrzvHcJVcwjiL4WhO3s5SlfmfL70YWcF/E3un8XfX9nfgL4q0n4d/snaTomleG915Z+f5eo/bGH37+Rj+7IYdGK9fevy7+JviTWtO/bD+CWqjVNssH/AAknlS+Qp2btPQHjGDkGvmbS/HviD4W/BXULn4Eftcf2pZeF/K2aR/wgSQY+03JB/e3CsfvPI38XTHGRVDRfG/7Mfw5+N/g7xl8K737PZ2f9of23N5d6+3fbFIeJlYnlnHyjvz2rxeDuEcu4dWb5jCvGpVxdaFaoqi5Z3lUlJxppyqe0Scpc38NJO/LrZfe8Qcd5bxBwtiaOGp8km4OaqT1u5xdqUfe9ok4vmv7PlVpcurS+zIvFV5d/ECPV78+a3O98Bf8AlltHAH0rZ/aD/ZQt/jfrHhj4nfDb4w/8IZq3hn7btm/4R86j9o+0rHEeJZVVNqRsPutnf2Kg14H4c/bS+AVxqusaVrer/YbWz+z/ANk6t9nupf7R3qTL+6WHMPlnC/N97ORXcfDL9u34TXuuW/hzw94u+0XU+/yovsE6b9qux5aDAwM9+1e7LMK1CTjSbim7uzte0uZbbWdmrbbo/HaeLr4epzUZOLuno2tndbbWaTXZ6ok8Ef8ABOLxDrfhTwb4f8J/tKf2Le+Af7R+x6r/AMIclz9o+3SMz/unuAE2qCvJbO7I24rodc/YI/aFSyjhu/28PNW2z5cf/Cr7Rdu4jPIn5rn/ABP+258afHfjnXPhn8D/AIDf25NoX2bzNW/4Si2tsefEJR+6uIQOiyL94/dzxkCvOLD9jr4vfHL4keJvi7+0V8Dfs8ms/Yv7Lj/4Sa3fHkwmGXm1mTtHF95R14zya9zBzzPG1abw+K+rKbtFSnUhFctNx5udR5dVDkvfmb0atdn23D+V8ZZrCH9mVKlKnUdlb20Ye7G3M5RjyfYUN3Jysmup9A/B6w0D9lT4F6T8G9S8T/2zHpPn/wCn/Ynt/N826ef7g8zbjzgv3jnbnjOB8nfHL9tfw3qb/Y/h7B9vt5v9c+94vLx5ZHEsOTkhunTH0rwG2+JutR/DODwNc6l5thBu2WPkqv3pvMPzhd33uevtVv4r/C3xx8LpNOi8aeAP7DGoed9n/wCJrFc+d5ezd/q2bbjevXGd3tXiQw+KhgpzhU91KLklzNK70u0uVO/8zXlc+Mp4TFywlStTu4R5eayk0uZ2XM0uVa7czV+l2Zlt4weW/udV8RWP2+e52ZfzfKxtGOijHTH5VVu/EBvYmSe1yzYy+/09sVVuPsn2SDyP9Z83m9fXj9KjkSRc5HFJ47HU6PsVO8UuiT+JX1drt69dtUjJ4itGmqd9F5Lrrq7Xfz26DVYqcqaltp7aMsbqz87OMfvCuPypbZLZ7eYSjMvy+V19ef09ahdSjFSK40qlGEal00/n3Wqel/8AgMxV4WkSeda/Z/L+x/vP+evmH19Kr3W02z/L6d/epriV7icys2Se+PatbX/hx4w0bQ7jWdR0by7a32ebJ9ojO3cwUcBiTyR2raGFxeKjOdGDlGmtWo7LXV2Wmibu3030NYYfEYiMpU4OSitWlstdXbbZ6sreG9Nl1jVodNju/J8zdiTy92MKT0yPSl1bRf7IVJVud+c8bMenufWs/wCZ29SaG3fxVUcRh1hHB02530lzPTbpt0/HyQlUpew5eX3r739On3/f5GromnW2po73KZK4xyff0+lZ8ZgVgZINw7jeRmktkumB+zj69P61ESScmlWxEXQppU7SV7tpe9+HQU5pwilGzXXudL4i+KHiDxLpcmk6g+6KTG4YQdGDdlHcCuaJzQCQcilDspyD1qcZmGMzKsquKqOUrWu+29unVlYnF4nGVOevNydrXfYWdBHKUHatDwvrV5o+oBrV8B/vrgc4Bx1B9abP4g1G6zNcXe6RvvHywP5D0ro/AWpfD7T9M1SbxJNsvf3H9mHbKf4m8z7ox90j734V6eV4ehLM4SpYhU7NvmlaNkk3b4nq0rW7tLqdWBowqY2KhVUN3zS921k33ertZLq2l1M/WtPGtSrrE0u2SfO8bc/dwo9PSqR0YW+h/wBspP8AMOi7f9rb1zTfF15p+o61Lc6VJvhO3a2CP4VHfnqDWWQQcGjMcZhI42rampPVc6lvL+dWXe7t57k4qrR+sT93meqvfd/zfr8xQSxwa6Dwd4u0rw5FNDqnhr+0N+3yz9saLZjdnoDnOR+Vc9QxCoZG+6vU15mBx2JwOIVai/eV90np6NNfgc2HxNbC1lVp2uu6T/Bpr8DqZPitr8+kHw5JzYHrbfJ/e3fe27vvc9awbOO383ZLBuz/ALRGK1/+FVfEX/hWH/C3P+EQ/wCKf/6Cf9oQ/wDPfyf9Xu3/AOs+X7vv05qlb2eq+K7pNP0yP7RNzsTKp2yeTgdAfyr1qtfM8ZOn9b5pzsnBOOri+kbrbTTlTXY78Us0qTprFKbk4pwUovWL25b7xf2bJrsUL0JHdOsK7V4wM57UWEcUt2iTJuU5yucZ4NTalot/od9JpusW3lTR43JvDYyAeqkjoRVURM7bUX6c1484VaWJvOFmpaxa212at8tvkedJTp1WpRs09U+nlYuy6SYp47ZbjiXOTs6YGfWtXxH8OB4Y+G3g74j3XiTzI/Ff9obrT7Hj7J9lmEX3gx8zdnPRcdOetYAjVmAjHNey/sbfF74Z/B+48TxfEPxD/Z32/wCxfYx9kmm37BPv/wBUjYxvXrjrx0Nerl+FwGOxqpVmqcZXXM23GNkpdXFO9pR3Xx33SPcyHCZbmWYfVcVKNKM00qkn7tNq0rtNxTuoyhZyWs77pJ+KpJE5Jhl3bf8AZxT/ADbNYZRPfbJF27IvKJ35689sV13x38Z6B49+LmveK/Dmpfa7O8+y/Z7jyXj37LeNG+VgCMFSOR2rndO8Q67p+g6t4bsta8ix1nyP7Qtvsyt5/kuXj+YjK7WOflIz3zXFXw+GwuOqUVUU4xc0pLZ25lFr3lpKyfxOyd7S2fnYnDYbC5hVoKpzwi5pSSTUrXUWvetaTSd+Z2Tuua1nR5U4BpAMnFXtR1SXWtRl1TVp/Nll25fbtzgAdFAHQCqNcdeEIT9yV43dujtfqru19936s4pqKk1F3XTp+GtvvfqSSQbMfPnPtRRcFDjYaKVVU4VGkvxJkrMmkm+0g2sC7i3Q5x796rvDJHy64z71txR6PZWYkOk75l/5a+ewzk+nTpxWNLK743nNd+Ow/s4qVWScmul7Jed0td9rm9aHKk27vy6fevyuNiYrnC5/Grmq6sdSuZLk22zfjjfnGAB6e1Q28tqifvbPeT38wir/AIt02z0vxBcabZw7Y02bRuJxlAe596dKliFgJShNct4prrdqVt15PqOMKn1aUk1y3Sfq1K3TyZUbQ9Sis5ryWDakW3cdwPU49aveE/Fp8KicHTvP8/b/AMttu3bn2OetUp9a1KW1ktGuP3cmN67Bzg5HaqZyQCTS+tQy/FQrYCUlKK3dnq7p91azt6lRrrC1o1MM2mlu7b6r02HYi8jPm/N/d2+/rS2qwvMEnm8tT1fbnH4VctbG1ubFT5W2Rs/vNxPf0rPBIORXNVpzo+zqTSaaXfXyezvr0+RhKLhyt7HUal8UZtT8DeDfBD+HfKHhL+0c3X2sN9q+1SiT7u35NuMdWz14rmnQpIcc0wkk5NWnvbJ4Sg07En/PTzj6+lXLESxMbVp25bWuu0VFLRdoxWvbvc3r4qtjGpVpXaUUtOkYqCWi6RjFfK71uyq9sH+aaLIX/aoRYYv9VFtz1+YnNOMrFSpOc06CW3jBE1r5nod5GK5oqDdk7ev/AAE2cqsxmxtu7HFPCvHEyuuN2Oc0t/d2wtHS3svLbjDeYTjn0Nd/8f8A4C3PwMm0aOXxn/a66t9oyP7OFv5XleX/ALb7s+Z7Y298130suqzw9XEUlzQpKPM09E5txWjs3d9k7dT0KOWYvEYOtiqUeanS5ed3Stzvljo7N3fZO3U4XT742O/EO/fj+LGMZqCbDMXBqWeNIrWGRV5fdnn0NQFyTz09K5a0pwpqlJ6LVeV9f1OGTkkosURnYzk4xTQCegp5LBSN3B68UwEjoa5pKOliCS2WIzqs8vlrzltuccegprpEPuS5/wCA4oderZptW5WhytfPX/O3TsO+lhQwU8c1c1OSyuJHuYbvLHGE8s+w61NbeHftGnQX/wBsx5275PL6YOOuazAMnFdNSnicJQUasFyzs192jVn2l1NZQqUYWkvi1X3eXqSX0EAsJX+1fMNu1Nh+bn17V1nijw5pOo3fifWPD3xF/wCEh0/SPsXk6r/ZDWn2vzQFP7pjuj2sCvOc7c8ZrjbyUtbMpHXH8673xT8X/EvjHRZ/DesPvFzt8ybCDO1gw4VB/dA6162Wf2fWpVvbS5bR92KUmpT5aijd8ySs2nrF7W01v6eXyy94etHEaO14pKTvLlmkm+ZJayi9Yy2snFc3Nw8iRLjy5t3r8uKYyoybHGQeoqxfWIsSmZd+7P8ADjpVckHoMV4NWEqVRqSs+39XPIknGVmI9nbuS8dvtU9BvJq5qWh6po5Qaja+X5mdnzqc4xnoT6iqodgNoPFa2savcawqT33zi3zhOBndgdQB6V00KWErYepKbamrcu1t/evp0W1jWnGjKlNyb5tLdvO/y2sZBBBwa1/C3jLW/B2pwa34bu/s17bbvJuPLV9u5Sp+VgQflYjkd6zJnidt0cO0HtuzXVJ8Lw3w2HxBGuYP/Pp9m/6beV97d+PT2960wOBx2KnVWFXNyRcpape4rXetvw1NcLg8VinP2CvyRcnqlaK3etvw1Ppz4cftUfFv4ZeKptX+Lvh37J4el2+RL9rt5P7PwjK3EMTPL5kjp1+7n0zXuvwK/a/0v4neBLfxhf2H9k3N9v8ANsPNafytksiD5xEobIQN0GM47V8BWHxN8YfEe9j8IeMdU+1291nH7iOPZtBf+BVJyVXv2rH8ZHR9H1Q+HoNHz9j6y/aG+feqt05xjOOtfS5pl+WYug8bhaklS0h79ubnvzW92LVuXVO/lfoexmWDy2rTeKwUpKlpH95bm592vdVrcuqf/DH6mJ8XtGitCk2o+YW6v5LDv6bK8y+IHxx0Wxglghm83ftyu1lzgr/sV+d+qeO/FepnU0v9W8wav5P9o/uIx53lY8vovy4x/DjPfNHiXxh4l8aeU3iPVPtBtt3k/uETbuxn7oGfujr6V8enXleP3nzurPdNa/aistI+JT6Xf2HlW0ePM1HzS2Mwgj92IiepC/rXvH7K/wC3HP8AFaz1LTNT8L/2UNK8nY320T+f5pmJ4EK7duweuc9sV+frRbf4v0pgIByRn2rObm2oy0E77H60ab8cdKs2WaK9wOc/u246/wCxXmvx3/aT8LzaxpWkXGr5mn8/7Kn2d/n2rGzciPAwPWviP4g/GKTX7iw1LSNB/s67sfN8i4+1edjeFDfKyAdARznrXn8U0sOfLbGevFe7TxTyLOI1oTjUcVulK2qa2koPr2selCs8qzBVKU4zceqUraq32lF9ex9PfEX/AIKGarc3M2g+GtC+02Ue3yb77UqeZkKx+R7fIwcjk84zXzb4j8R6z4u1qbxB4hvftF5cbfOm8tU3bVCjhQAOFA4HapY9Gim0gX5kw59v9rHrWaSOy/rXlYyhWpzVSp9v3l89ThqwnGXNLrr94hxng0AEnAoqUwBYPODfhj3rmp03Ubt01M0rjWRj94YoSCWUkRrnHXmn2kT3k6wGXbnPO3PanTJLY3LwRzZxjJ29eK6I0ouKqNPlva+l72LUPd5uhDESkgJHSjUJEktGIbkY4x15FS31obK5eHzd23HzbcZyKrXCFrOR933ccY681LVag5UZLvf5f8MJqUG4scQQcGt3U9QtdR0mdo5MNHtwuDzlh/hWGMseTXVfDPQdO8X6s/ge6h2Tanj7PqG4n7N5avI3yAgPuC7eSMdea9HJYYivVlhadv3q5VfrJpqK8rtpXemurSuzsy+nWxFb6vTtepor9W78q8rtpK+l3q0rs562v1tYQoTcT1GcY5qqBk4rc+Ivg9fAniy68Mrf/aRb7P33lbN26NX6ZOPvY69qxAQBwOfWuLHU8Thq7wuIVpU24taaNaPVb7dzDE0a+GryoVVaUG012adnqvMcYCgzM230GM5qRJNGTSL62n0Tz7yfyvsd79pZfs+Gy/yDh9w456dRUc05mxlcY96Hi2QpLuzvzxjpis1ONOUnSSaSau0no1Z6PS+ujSunZrVXIjPkk3G2z3Se6t1666PdPVaq5/U//wAEbf2vfDv7Sf7Dfw48Snw9/Yuoa1/bH/Ep+1vc+T5Op3qf63ykVsrFu6DG7HOOdj/gpH4h+HHh7WfAFz8QfHP9ihv7V+yD+zJrnz/ltQ3+rB24yvXru9jX88P7Gf8AwVx/bW/Ymg8NeFPht8RvO8IeGvtn2Twz/ZGmr/x8Gd3/ANIltZZf9dO0nJP90YGMfevwe/4KA/GT/gqjY+JpPjbpP9jXnwv+xf2cnn29xv8A7SL+ZzbwQAYFpH97f97jbg5/lDCeAePy3xWfFWIxUaeAnVrObg5OtGWIVWMFFSoSp2bnFNNtqKm1qkz9t4LxuX5vxPhsXSrNVmpe0jKL5pVXTm5yjyxdNRerSlKL92Xu7XxP+Ck/xM8Y+J9Z8MaV8Bfhp/wmmnad9t83VP7Zj03PmLakfurhQ33hIvf7mf4hWf8A8ElviF4p0X4Va1+yj8Q/h3/YmrfCv7N9ru/7XS5+2/2nPeXi/LEpWPYhUcO+7dn5SCK9h/Yd0f4X/Gj48/GL4MfFn4df21F8Ov8AhHv7Kvf7Xntt/wBvtbieX5ISpGCiD5mf7uRtyRXM+L/C3gz4C/8ABWv9p/4ZfDzTf7M0G3/4Qr7PY+dJPt3aCsrfPKXc/vJGPLd8dABX9E4Ti/h5ZtR4FwLrSnhKU6qnNU/Zyi/ZTm1JNVHOUq0XJSpxgpcyhaCjfPxZeExVKjiI1ZylzzjFNQUI8nu1bWip354r4m18XLZWPUPiA9tcYnjj4PuefuivHJtQgh8Qurtjy8dj3Stfxt8Sra0spbaO93v8vl/uyNvKk/w8143N8QLA6hJdTv5jSYy2COgx/dr6Lliou/8AX9I/EtD6q8H+Kbdoczx/KejZPq3tW14R+KPgvxjFNH4U1j7U0G3zv9HkTbndj76jOdp6elflb+3z8VvCOq+I/h3f+NPBP9v6Xpn9r/atI/tKS1+0eYluF/exruTawVuM5244Br7E/bl/4JDfsVaR45+HafAj4Z/8ITp8v9r/APCSWH9s6lqX9rYit/s/z3F2Wg8pjI3yff8AMw33RXDiczwmAzrCZTiKcva4nn5ZJrkpqlBVJSqbyacX7qpqUrp3W1/reHuD8y4kpVPqnK5xcU05cvKpbSfutNWvtLmXK/dd4pxftJftOftj/ED4kfEP9nD9jb4D/a9f8Ff2T5/jj/hKNPj+yfbIYrof6FfRhJN0azw8O2Mb+DtFfRn7Ff8AwQ8/bA0H9p3wD+15+1b+019s1bw1/avn+G/+EM0+PyvtFlPZL/pFnelWyhhk4jOMbeDlq9h/4JDf8Ex/2Q/hD8CbnxFovw18zV/EOz+29R/tnUB9q8i6vVh/dtcsqbUcr8gGepya/QGv428bPpEZzhMZjeFeH5clOMqlGtOUPjjH3bQvNpwlJyledKM1y02uX3k/fll+H4VmsOk5YuD9+V3yRcZKVN00nHmto5KrGS5oqyte/nP7Wf7Rvwq/ZL/Z+1/9oL42eIf7K8MeH/sv9p3/ANknn8rz7uG2j+SCOSRsyzRr8qHGcnABI/mp/wCC2H7dPwt/by/ayn8SfBOL7b4W0bb/AGd4g3Tx/wBpedYWKyfuJ4IpIfLlt5E+YHdjcMDGfv8A/wCDkf8A4KSeJr79lrSf2WNJ+HX2TT/if5/9p3n9rpJ5X9m32mXkfyNb7my2R8rpjOTu6V+Kuk2tx4murm8vLvEg2bm8sc8Edselfe/Ri8KK+Q5fLOcenHGV3UpxgpRcfY3g7yttP2lJ2tJrka2eh5udTzPKfaZJJRU58rmlrJLSag5X5fswn7ib1s5r3oFKPTrrSNUFi1vmaP8A5Zbx3XPXkdDUEUwjieEDPmY59MVqeL7W90TxRcQz6h9oni2ZuPJCbsov8PIHBx+FY6AswAOK/qbFxWExUqEE04ykrOzstrNrS+jTs7dj43EQ9hXlTSacW1Z29Oml+/TsKUZiSBVvUb9dRndo48b8Y59AP8Kfe6S9jpVlqYu932zzPk8vGzY2Ouec1o2/gtZNOGorqG0n+Hys98dc11YbL8wq89KnHopSV1s1dW17SLp4bFTbhFdE3ts1dfgyvqvipz4cvtHfTsfa/K/eed93Y4bpjnNZJRlbc4wO9R387S25DD/ORT2ld+Gb9K5MZjZYuopVJOXKklolpdvol1b+8yrV512ud3srLba7f5tml4hh0eAwnSdZ+2Z3eZ/o7R7OmPvdc8/lWbvAOfWkLE8E1JBbCVdxbH4VlVqSxmJc4RUb9Fey0t1bf3tk1J+1qOSil5K9vxbf4j7WM314sCnbvzz16DNa/jH4deIfBTWqavb7Td7/AChvQ527c/dY/wB4Vh280tvMJoG2sOhxnHHvWz4q8feKPGL2za9qPnG13+SfJRdu7GfuqM/dHWuzDzyqeX1vrCk6148jVrWuua/yvbTc6aMsveDqe2Uva6clrcu/vc3Xba3U1fCPxO8UfC+fRvEHhOb7JqWn/aPs91tSTb5gZW+V1ZT8rkcg9fWv0V/4JOX/AMCZ/gN4B0f4g/G7/hHrg/2r9rj/AOEaurvyP9KvGXmPh9w29Om7noa/MW+WeSxtppp927fgbQMc103w/wD2g/jh8MtPtNH+H/jb7HDY+Z9ki/s22k2byzPzJGxOS7HnPXjtWuIqUcaqmGxNatSi6PJB0lSc1Jwilf2kJxt1+Fu6XS6f2HBnFOH4bzmeJxKm4ulyLkUXJXcGnq0to9b62utz+oX9lT4TfCOy+LFl4s8B/Hj/AISCfTPM8yw/4Re4tN3mQTIPnkfA43N0P3ccZFfVNfz3f8Exf+C5Xxf0b9p7SfBvjT4Xf2xaa75+5f7bt7fy/Jsrp/8AlnZEnJK9xjb3zX2z+1N/wcK+MPgZrfgzwz4G/Yt/4SbUfF39o+Ta/wDCxo7LyvsqwufmksHVsrIx5K42d81/nz4seAPitnHGKeXL+0KXJCEKvPRg29ZOHI44eTak3Z+y1ukpPp9hxKp8Q3zbB1pV8NBRpupJKLUnLSHJGEJPWcbOMH8W+jt8N/HzW/ib/wAEcv2yvjlayfCT/hZHhm9/4Rn/AIqb+34dH2bNOjP/AB74uZDmS98vt/qt3Rvl+t/ih8Ky8JksdW3mP+DyMZyU7lq/Oj9uTxB+1b8WtX8V+P8A/go98a/+FcXPjD7D/wAI54f/AOEbsdY/t/7ItvHcfv8ASwotfICWz/OF8zzdq52sa+r/AIYf8FPP2d/jh4+tvhr4L8b/AGzVdT3/AGK3/s27j3+XE8r/ADSWyqMLGx5I6cZPFf3xl39r0cpw1XGYmNXFRpwVed4JVK6SdWdOHLCSpzk3KF6cHZ25VblX5pntXB4jGvF4Oo5c13NycFzVG25uEVaSpu6ceaKe6tdNL5V+A/hv9s74B/DnTvhbP+yH/acll52Lv/hP9Oh8zfNJN93L4x5mPvHpnvivsv8A4Js/Bnxt8Iv2RfCnw5+KWh/2ZrWm/bvtll9pjm8vzL+6lT54XZDlHQ8E4zg8giuR8beKANcN1FPt29tucfKo9KxPB3/BWz9jmwuTa6j8XPs8B6zf2BqD9mPQWuepA/GqrY3G14QVSV1BWWyskkrbK+iXdnHj88zXNMLQw+Kqc0KC5YK0VyqyVrpJvSK3benqe3/H74Bfs2ftI2Wkp+138GfMg0L7R/Yt9/wkV4PsnnGPzvkspEMm4xQj5s46jHzZ+DNf/ZK+DPij9o345fs+fBn4/wD/AArb4dQ/8Izs0v8A4RW41j+082YuT+9nlE8Pl3Advv8Az+bj7qgV794s/wCCsv7Fnjmyh0i++IP2GFd29/7J1KXqQw4FqD1X9a8V/bW+EPiD4F2XjP8Aaw+GH7SP2C81z+zvN8I/8Ickvm+SYLMf6VK7hcCR5f8AVjOdvPBr2K+Hyx4ONWrUlTk5Wl7GUJNRcZLRy5171rNNtcrdlc9LKZ5FhMVSxGZQc4XanCEt04SS1Uk781rrnWl9Oh+7P7QnxI8caF+yFq+u2Hww+2QxfZ9jf21FHvzqEanqpIwSe3av5w/BH7beq/CP9knwb8KvC1h9ouY/7R+1yeaqfZ837TLw8LB9wc9G4xz6V/Rt8Rvi/wCEvFv7B9549u/hlt0q48vdoH9tSHG3VFj/ANeEDfeG/p/s9Oa/k6bVzd6BYaSLfb9k83Mm/O/e+7pjjFfyb9GbB08HkGc0cThvY1KeKnG6lzc0oqmnB+/NXprmbaUYvmVpztZfSccRgsJBTpezarYiyve7/cXv709bXvZqOit501trYfehz/wI1uW/iYR+Gx4bg0zgZxL53+3v6Y/rWNT4pTGQQM4r+lsHjK+ElL2cuXmTi9E9HutUz84o16tBvkdrqz9HuIkUjttVck+9dp8N/hNrvj+0nl0x9v2bb5gwp+8Wx1cf3TWT4U8LDWtH1PWmvdh07ycR+Xnf5jFeuRjGPQ1Po/xJ8cfDy6ubLwnrv2ZJdnmj7LE+7AJH31OPvH869vK8PgMu9ljMxhKVKd7KLV3ul1XWL6nqZdSwWFrU6+Ywk6Mk/hau90rar7S69jm5Y0Vyscu4djtxmoboEWzZHp/Oux1jwXpmm+GZL5fmuEx+9+YZy4HTOOhxXHXbE27An0/nXmZnltfK6qhWsnJXSTvZO6s/P7/U4MXg62Dmo1N2r6D6f+7YZMmMdBjrSTReTKY92cd8U2vN1pycWjl2Y8iV7Oe1gj3+Zt5zjGDmuq+KXi+T4kfFHV/FWtaX/Yzaj9n3W3n/AGjyvLgRPvKF3Z2g9Bjd7VyiSSRDKNjPXiptSurm51B7m7m8yRsbn2gZ4A6D2r0aOLVLB+zd2uaLa05WkqnVe9e0naz6u+qVuynip08HKhf3XKMmtLPlU0td9pvZ9XfZW0PEWgDw35LC88/zd3/LPbjGPc+tZLS7nL7evvVjUtb1PVwg1G58zy87PkUYzjPQD0FVuAMkZzUY+vhquJbwqcaelk91pr1fW/UyxM6E6zdFWj0T9PV9fM3fhx8R/Gnwj8ZWXxB+H2r/ANn6vp/mfZLz7PHL5fmRtG/ySKynKOw5BxnI5wa+p/2b/i78Yv2mviprPiDTv2iv+FZ6bon2f7IP+ERt9Z8rzoJVfqiM2WiPUHHm8YC8/HisCcMM10HgD4r/ABI+FLXzfD/xP/Z41Lyvtg+xQy+Z5e7Z/rFbGN7dMdee1b5bjIUKjhWnONGaal7NpT+GSVr6OzlqneL6prQ9Th/HZfgcyjLHxlPDu/PGLaclyySV1KDtd6rmSa3vsfd/wy/aO+LngL9uPwv8Dbn9r3/hYmjz/bf7et/+EAt9I8vbpj3EHzCMscu2fkbjyueGxX37F8Tba+vW8wfJx8/PPHptr8AfFHizxL428R3Xi3xXqv2zUL3Z9ouPISPdsQIvyoAowqgcAdK+gfBv/BSb4v8AhPSodP1y0/tW7i3ebfeZbweZlmI+RbcgYBA98Z71x4iVCUn7G7gnZOXxW2TlZ25mleVko3bskrI480rYLEY+rUwdP2dJyfLHV2j0veUndpXfvNXbtpZH6wfEH4zeHvCWmS3+oar5Pl7efIds5ZR2Q+or5zn+IEGv+K28S6df+YnHPlEZ/d7O6j0PavjfU/j9+0J8dfhd8TvjhZfFT+xNO8Cf2L5Hhv8AsO0uftP22cW7f6QY0ZNrR+ZyrZ3bflxmvL0/a6+PdvOz6T43+zRcbYv7NtX28erRc85P41pFZY8DNNy+sKVractrX9br16q19bVWwlPD4CnUqqSnU96O3K4c0oN6apqcJKzt3tbU/XrwB8UZZPE32iSwzaL96683plGH3duevH61T+M+oaLf+LPDes3mu+RDpn2zzn+ys3+sjRRwOeo7Z/CvyN8IftI/Gb4a/DqHQPBXjD7Fa2u7yI/7Pt5Nu6ZmbmSNiclm6nvXoH7QnxI/aN+F1zosOs/HD+2k1P7T8v8AwjVnbeV5Yj/uq27O8emNvfNfRZdDMcOvrtOK5KcIqco20VTmhHST1bu/hTS3O3AYfMIUp46jH3KUUptNaKpeC0k7tu7WiaW+h698e/2v/HVl+0B4s+GU37Z3/CFeF9A+wf8ACNW//CuotS+0efaRy3HzeV5ibZefnY53/LgLiv0t/YU/4I6fCn9nTwl4W8faD+2//wAJNpWj/bvKuv8AhWs9l9p82S4jPytduybWlI6HOzsDkfz4atJJfTPJK/zPjJx6AV9QeH/+C1n/AAVA8J+EofAegftQ+RpVvu8q1/4QnRW27pDIfmazLH5yTyfbpxX5N4jYfj/NcG8PwvmCwzm6lOtzqElUoVfjXv0a3LPRcrpqmrOV23y297hnifL8kqyqzU4VL2U6aTcoSk5S51UbgmmocvJGPXmufWn/AAUf/wCChP7LX7YPw7079kj9mf4if8JR/wAJv539teIP7IvrL+wfsc1rew/uLq3j+1ef5MqfLIvl7NxzkKfzN+IPhJvgv4w17wLDr32u4svsvlXX2Xy/M3xrIflywGA+OSc4zVHwz448aeFrjTNU8Pa/9mn0Lzv7Nf7LG/lecCJOGUhsgn72cZ4xVbxP4l8ReNvEd14r8V6p9s1C72faLjyEj3bUCL8qAKMKoHA7V9Tw3lORcJcMwwOBVSVdTcvaTau4yg1Je61G8Z/C1BXjFN6tow4g4ppcQ4ZYjEwf1tSSUkuWCpcjvBLnbv7Rykm02090rQR4qi01PEt7Honir+27SPy/K1P7C1t52UGf3bcrg5X32571Vd3kUv5eAvU5ot1knkFp5mFPt+NSyIttE0bDd5mMHpjFei+bEznVS5VJu/VJ6uyu5SsrpXbbfVnyNWXtqkqiXKm27K9l1srtuy21bfdsrBhkk0s6xLIRFNvXs23GakiihmG0R7SvU5zmo5IxHkZzjvXNOnOFLW1u+v8AX/DGLTUSC6A+zsSfTA/GpAMnFR3X/Hu34fzqZXRZN5jyv93NYJK+uhJo634U8Q+GYlOtad5Inz5Z85GzjGfuk+oqnZhPmMkm3pjjOa1fF/jm98XpAlzB5Yg3Y+YHOdvoo/u1irIVGAK9PHPLKGYP6nKUqSWjlvtr0XVvodmL+qQxTWGbcOl99te3UlsbO51C7W2tY9zvnauQM4Ge/wBKbcTM5UtHjGe9P07UJdNu0vIB8yZx+II/rUBcsfm5rkVSlHDWi3ztu/a2lvxv+Bz3gqem99fTS36hyxyBUs9obWUwXD7XXquM4/KoiwwAq49TnrU9xfRXURae23Tt1n34/wDHRx04qYexcJcz97fW9nvdaddrdN9dhJQcXff+vxK0kUUhG8bsfhVxpPDw8OyWKeGd1+23y7/7a42fPk/J905X5f1qpShiOAamjXlR5rJO6a1Se/a6dn2a1XRjp1JU72tqmtUnv2unZ9mtV0Z3njT4t2fxS+PN98WNY0v+xYdQ8rdbeebnyvLtVhHzKilslAfujG72zXIavrB1Py823l7M/wAec5x7e1Usg9Rn8aN2fvDNdk80xVTDui2rSk5N21bla9/S2lkuu/TrxWZYvGSnKs7ynKU5O1ryk03totVeyS3fS1rP2iFbaMb/AJvm3DHTmq+V8vG7n0xTSc0DGeRXHOvKbV7bWOKUnI7LR/ip4gPgrxp4EvNE+33XjT+zt2ofaUi+z/Y5DJ/qwuH3D5eq4xnmua8T22knVZH0/wAOf2dEcbbX7Y02z5Rn5jycnJ/HHal0nVoNNvUvJbDztmcL5pXqCPT3qPWdSXVb97xLfylbG2PfuxwB1x7V6FSrhnlvL7S8k0kuVaRV38XLde9KV0pa6XTsrd9XFSrYGFOc7uHuxVldRvKW/Lf4pyb11ur6JWqGGLy/KH3fSmpbwod6x8jvmn0A4BHrXk3Vzzh0cbSZ29qn1HR9Q0ud7e9g2NHjcNwOMgEdD7022TCb8/erq9e8PS3fhaXxld6j5jNt3QeTjPzhOoP49K9vA5WsZgqtSKfNBc26sopO7f4ba7ndhsHLE0Zygm3Fc3S3Kr3f5beZydtaXN+/l20W4jr8wH8/pTrvTprEqt18jNnjg/ypLK/msGLwHDHvxVy0hn8RO73VxjysY+Qd/pj0rmw9HDYimoQu6z6fZ/qyMacKdSPLG7m/uM1I3c4UZzXY2un+MrP4c+NrC38J+dZWn9m/2xqH2+NfsW+bMX7s8yb2+X5fu9TWBPbW3h/xAbO7h+1xw/eXcY9+Uz2zjBP6VPqXxF8WrpmvaRYap5Gn+I/sv9r2fkRt5/2dg0Xzldy4bn5cZ6HNdeHdPLqNXmk1VvKDSs9HCcZXurWcmlo725mrOzO7BTw+CdR1ZSUrTjaNnvTnHW6tZycU7O/LzNa8rMm3kWCcSdQP8Kkv74XuzEe3bnvnriq9FeOsRUjRdJfC9zy1OSi49AAB6nFOCRFNxlwf7u2m0VmpJdCR6rF5Tky4YY2rt60yiihyulpsMlmlV5SVPHrU2l2ceoXqW09x5Ktn59m7HBPT8KqU+G5nt5RNC+GHQ4FdFGtTVZSqq6vdryvr1T/EuEoqonJXV9SbV7OKwvWtYbnzVXGJNm3OQD0qEyBk2niie4muZTNO+5j1OMUyprVYOtOVJWi72Xl97/MU5Rc24qyY6JC7gVYbUGttJvdIWDebry/n3Y27W3dO9VldkOVOKGYudzHmilXdGL5NJO6+TTTX3MITdPWO+q+TVmdv8YdR8Q/GLxjq3xmuPBn9n2mpeRsj/tFJfK8uNIDyNpbJT+6MZ/GqHwu8Qr4G8c2PiJLX7Z5Pm5h3+XnMTr1wf72enasoeM/Eo0X/AIR0al/of/PHyU/vbuuM9eetUIb66t5RPDLhl6HaK9qWZ4GlmFLGUOdzTUpOSjfnvzScUrKze10etWzKLzOOPpyk6vMpybUf4nNzSaS0tfZNfgdB8WfFTeNfHF5r/wDZ32bzvL/dedvxiJF64H93PTvWZpGvHTHjf7Jv2Z/5aYznPt71RuLqe6mM88m526nAHt2pgYjgGuKtmleeZVMZGTUpSbvZdXfbY4q+NrVsbPEt+9KTk3Zbt322O18MXumeD/B+vWWr32y6v/sv2GDymPm7JCX+ZchcBgecZ7VzOqaidRuTLDD8o77vYf4VWvtTvtR2/bZ9+zO35QMZ69B7VEsrpwrY/CujF5uqtKGGpLlowVlp727k73bW8ntbS3maYnHOtThRirQgrLvu5a6vrJ7W0t1uCuBwan08ra3qS3LbVGecZ7H0qtSvI8n3znFeTSqqm1J7pprt8zhjLldzU8Q6rBqFnZ2sAyIPM+fn5txB6EcdKzTA4j8zt600sSApPA6UpmkKeWW+X0xWuJxP1utKrV3aS08kkvloXVqyrT5pb6fgrIvNod+v3ov/AB4f40VE2uao33rr/wAcX/Ciut1Mm6Rn+H+ZpfCdn+BVVih3Keat6hbzJGGZMAe/0ov9VF9K7+Rt3Y/izjGParXhzxOPD3nYsvO87b/y024xn2OetLDwwKqSo1K1oP7Vnpa/2d3fT+kFKNB1OSc7RfW36eZk1JMypOWgPHb8q2rhNW8c3D3Ol6V/qceYvnrxkYHXH901iGBlm8l+D3/KscThZUNad5Qk/dnyuKdu1/N69rCrUXSd43cXtKzV7drjSxPBNd98FbP4Tzw6g3xQjz/qvsPM/wD003/6n/gHX8O9cLFaTvMsYTls45FX45f7JhQSLud87lzjbg+vfrXdkdT6ljlia1NSjG91NXjqrarrvdfedWV4hYHGRxE6cZqN9Jq8XdW1XXe689STW/EBlMtlpt3m1O3Yvl/QnkjPXNZ0t3Jc4E0m4j7vGKhKsTnFBUjkiuHE4/F4mq5zej6a2SveyV9l0XQ5K1erWm5Sfy6enodL4H8N2Gsx3Eup2XmKuzyj5hGPvZ6Eegqv8SrbwpZ+NL238Fpt01fL+zDMh/5ZqW/1nzfe3df5Vhx96RUZzhRXVXx9CrlcMLChFTTu56OT+LTZO3vbXey7HRPF05YCOHjSSd03L7TtzaXttrqtdl2Jp7y6vXQPJuK528AUya3nRVkkTG7ODkc4pwkAIY9R0HrWnDeWb6fBFcXHlFN2PkLZyfasqVGOLc3Uqa73b06Lr5eZhCCqt80tfP5dzHd2eHyGOUPb9abFFBBKJYlwRnnJqzpWlX+tX0enabB5k0udibgM4BJ5JA6A1XII6iuHlrxgqjTtsn00s7J+V1967mXLNRU2tO/TS35XX3l68tHfRF1aGDeIs/aG3Yxltq8f4V0/xY+EfjnwL418R6Fr3w6/4R6Xw59j/tXTP7Xiu/sf2iNGi/eK58zeGDfKTt3YOMVylhoWoayjiztvMVcbvnA65x1I9Kt619isprmzsvDv9nrJs3RfazLtwAep656/jXqKDrYd1qsOWDXbWUlGSTjLkaSvbnjzLm3vpePo0/YfU5OpBq9rPRXajNaPkel3Ftc6vZ6NtShluQehq5pmr6jpiMNPuNm/G/5Ac4zjqPc1Wt4RM37yTYg+8+M4/CrVvbaZysmrbcdP3DHNcmEWJVVVYS5X35lF/i1/Whw0lUU1KDs+97fqijShSDlhxW34ksNMYTahYav56fLs/wBHZd3QHr071jSbNvyPn8KWLwTwVZwk0+qaad1r2b7BWouhUcW7+jT/ACuSW2oXdiWFpNtDYz8oOfzplxcyz3BuGfLHvj2xU3mQS2cMLTbWj3ZG0nqaaNLvTafbhD+5/v7h646Zz1olHEypqEJOSS5rLXl010u7WvvoFqjjyp3W/oU7oH7Ox+n86kwcZxUt5pN6NOmvFizHDt8xtw+XJwO/PNWfEnhjxD4O1+68MeKNM+yX1ns+0Qeckm3egdfmQkHKsDwe9YTwuJpw55QaWmtnbW9tdteWVv8AC+zE6FdU3U5XyqyvZ2u721215ZW72fZlNUkl+6M4rZ8J6va6L9oF5ceUZNmPkLZxn0B9aow6XqT28t0lrlIdvmNvHGTgd6v6J4Wt9bhaS71f7KyY+X7OXznPcEen616+WYfHUcVCeHjepZtc2ia1T1bXn1OrBwxMa8ZUl72tr6Lqt3bz6mICScjrU6y3dnbS2u7ak+3cuAd205H0p1rpVxcbXb5UOfn4OPwzUMts8C5lOCfuj1rzFSxNGn7RxavfW9tGrP707efmcijOKvsXNEi0+cSfb1zjG3k+/p+FRXmpzOzQW8/7njA2j+oz1plptKEM2Me1NNnO0P2kJ8nrkfSuh1a31KEaSs9btbtedumvU055eySiu97b/Mizkcn6VqDQZ7rR7S7s7Tc0nmeY3mAZw2B1NZgiLI0i8hcZqa0nkVCiQ7sdfmxWWD9jGTjWi2pLS2+6d1o+zRNJwTamrpr9fR9rDReXC2v2cSfJ6YHrmmyQmMYZcE9Oa668t/E3xL1m00fwx4d86+1rzPs1t9rRf9Su5vmfaPuqTzj8a46xaOZ1aV9inOTjOK6sfhPq1VQjJzi9IyacV0dlf+7KLtfTmVzfFYWVBpxblBuyk00nazsr+Uotq+ikr7nUeAvhp4r8ZW891oui/aY49uW+0xpjJYfxMP7p/Kq2r+IpLzRJLG7vN0zY3L5eM4YHqBjpWfc3UEdvDDbyebt3bjgrjJ96qukAhJM+H/ubT/OuyeMo4TBfV8NpJxam3JNO66JKOqu1vI2liKVHDqnRTUrNTbkmnfaySVrarVy+RCAScCrNtpl3dJvhg3D13Af1q/4n8Tp4kSH/AETyTDuwPM3bs49hjpSxeLDFo1ppP9n5+y+Z+883725t3THGK4qeHyuni5xnW5oJXUlFq7utLatW11fbzRgqWEjWknUvFLR2er00t06/d5mfLbk2huWTn+9n3xTdMNkL1DqH+p539fQ46c9cVAcZ4NStZXKkAxdenzCuJSlOrGcIX5bX6pvz9TnT95NLYva0fDphg/sk/P8AN533/bH3vx6VneY+PLU8elJJG8TbXGDUkUjRAMU4HfNXWrSxNdylFQ8oqy0stvld+Y6lT2s+ayXotB0cK52svzH7vP51HKgSUq4xird9qUd9LEQu0Juyc56/hU+n2Ucga4ludivjYdmc4yDXVHCU68/Z0Wmk9/K3Xbq7Fqkpy5YO/mZpllkOC2SfaorpnS1dM4DYyPxqZHKkOFz7ZpmpWjW9sS569OPcV5/LVlBzV3bf0/4OpjZtXHAO77E69hUskN5pzrJMuwnO05B+v86NRu1u7t5kGA2Mc+wqDAz979KqbhTqSUW209Hey37f8Eb5Yt217MdNKZnMjtlj1OKYCQcig4zwaKwlJyk22Q3djsjonWnzGEwRBT843eZ+fFI3lHgS9ep20xwoPyvn8K1leEWlZ39O9+5VrXLugS6bDqcMmpNiIbt5w39046c9cVqfEG38ATSW0vg9Ms2/7Ucy/wCzt+//AMC6Vz0m3edrZHrirtne28OlXtq74eby/LGDzhsmvRwuMisFUwUoQs7vna95NK9ou/2rW+Z2UcQo4aeHcY668zXvK2tk76Xtb5n61/8ABqP45k8CT/H5LbVPsouf+EVyPI37to1f1U4+9+tfqF+0b/wRY/4Jnfta/GbWf2gv2gv2av8AhIPF/iD7P/a+r/8ACZazaef5FvFbRfura8jiXbDDGvyoM7cnJJJ/nv8A+CYH7aPww/ZDufHh+I8mP+Eh/sv7FxP/AMsBd7/9VDJ/z2Xrj2zzj7dt/wDg5i+Fkn7cI+Ktx+zz5Xhk5zq3/CWztj/iWeT/AKoad5n+t+X7vv05r+RPE7wd4+zXjPEcScM4mVCdanJN06tOnOUoQoxp0natTmo1HCTc5rkjyJveLP0DCYPh3E8MYP2uJpwq2q3T5W3Pn/dxkrpwUlf95P3ILdpNX4j/AIKOf8EX/ij+yFpvhb9on9l79k/7Dofh77d/wnF1/wAJ3BLs8821tZ/Ld3kjnLzSj90h65fAwR+fvjv4xfFbw14o1jw3r+nf2ZqEf2fy7fzoJvseUVj8yoVk3qQevy59q/bD9vL/AIOQP2DPE37MniHw18CvEX/CZeIbz7J9j0X7Jqmnebsvbd3/AH1xp4RcRiR+TzswOSK/D/8AaV+PEn7Rnx48QfG1/CP9i/279kxpn2/7T5Pk2sVv/rNibs+Vu+6Mbsc4yf1fwgzrjLOuFZPivBPD4lVZKLd43pcsWrwnzz5udzXNzqPLFLk+0/J4mpZJWw7xalCGJnNfuqPK6SpKFuZcnMlJzjrFzvrzctmmYuj/ABT+JXhn4gW3xU0DxF9m12z3+Rf/AGSF9u+Iwt8jKUPyEryvfPXmvoqD/gpH+3/8dJBZeIv2qvOvLH/kG23/AAg2lL5u/mT5lt0C4EYPzZz2r5ql8X+b4aPh3+zsZ/5bed/t7umPw61jpJsUrjrX69KhkEMwoV69NYlQTa5k4yg5LlkoS3V0o3a0aSTTSseTl2eYvJqkY4evUdN6yjGc6a5mrP4WtUkves1orppWPs7SP+Cv3/BVz9l6wTw14I/az/s63us7of8AhA9Cm+6S/WS0kPWVj17/AJfO3xR1r4oftA6jqv7Rvxm1r+3Nb1ryPteqfZoLbd5IS1T93AEQfJGi8IPu5OSST580dq0KP9r+c53x+Wfl54575qxa6wLe2WAwZxnnd759KywGVcG5fnmJzDD5fSoyrx1lHlc5SaVnUmo807au0rWb3TROJzf67iqs8Q5yjNXSlUc/eStGUm0+ZxTla6TV7JoXw14O1zxFJJJ4d07zmt8eYfOVdu7OPvEZ6GtjSvGvxJ+FF7daVpmp/YJpdn2mPyYZc4BK8lWHRz09ao+F/Fv/AAjcdyn9n+d9o2c+bt27c+xz1qLU9Vtdc1CTUZ3+zl8fu8F8YAHXA9P1r1KEsFhsBTq4TEThibu9pcqS1WjstWrfbe707ctKrQwuGhVwtWUa93e0uVJarR2XS32ur0KZefUr/dMd7v16DOB/9aooJ5LdvMifDDocU1iCcilO0AhWzn2rxfaycudP3rt3vrr+N/M8vmd79e5butc1jUbSCxubrfFa7vJXYo27jk8gZOSO9V5LeeJSxTCj3FRAA9Tig4zwac6863vVZOT7t320W93a1vkhzqTqO822/N9tF+BHdE/Z2H0/nU5yg8qTjHUVDc7fsr5bB4wMdeafWKfKvUksSS2zxMC2W428GoMZPyikoqqlV1d0huVzqTqvhYfDz+yln/4mX/PPY/8Az2z1xt+7/nNY154c13T7V7i8s9kYxuPmKe+Ox96z6K9HE5nHGRiqtOzhBQjyvlWl9ZJqXM9dbOJ11sWsTGPPGzjFRXLptfV73ffY0LK+vZbVLMy5jgz5a7R8u45P1qC6VI0aNhhxjiq1Fc0sbKdFQkrtK1276baeit16HO6rlGz1JFt4GkX7eny845P9Pwr1j4B+LfgJqmgz+C/2ntW+0aboW3/hEYfIuk8nznkkuubQbmywiP7wnGPlwM15HRV4TMJ4OrzxhGXdS1Ul2krq6TSkr7NJ9DuyvNKmVYtVoU4zVmnGa5oST6SjdcyTtJJ7SjF9D0zwR+0J448MaR8PU8G6t/wjt74D/tb7Dr/kRXeftrNv/cPGR90snO7724bcVQ1L9oD4tv4p0jxwPiZ9q1TQ/tH9mT/2Nbp5HnII5Pl8va25ePmBxjjBrgqKI5hUp4WdCN7TtzPmlry25U0motR+ymna++1ojmeMhgZYOM5ezk7uPNKzem8b8rtyq11fRa6K3rkv7X3jybWbvU5oN8M/l/Z7XdEPI2rhvm8rL7jzz06V97f8G5f7UNh/w0/8HP2av+E5/f8A/FQ/8SX+zD/z5andf67ysdPn+/7e1flbXqf7E37Tkn7Gv7UvhX9pVPAv/CS/8I19uzov9qfY/tH2ixntf9d5cmzb5+/7hztxxnI+Y4ow9fMuEc0y+jRhUqYnDV6MedJ2lUpuKlG7SU03pJuyuzv4dziplGNnaSjCtF0pyab5YTa5pJRabaSulr6M/oT/AODlSx8ET/8ABJ/4h3muxZ1mD+yf7BbdL8u7XdLE/wB35D8mPv8A4c1/Nt491zxV478WXviHxldfatRuPL+0zbETdtjVV4QBR8qqOB2r7F/4KXf8FpZ/+CiXwssvhp/wzJ/wh/2TzP8ATf8AhNBqG/fPay/c+xw4x9mx97+PPbB+LtR1/wC36nNqP2TZ5235PMzjCgdce1fD+BXA2I4C8PoYDNasvrE6kqkoOzVJNyjyRcXOLTUIVNH8VSSaumb8QTyqpUpLC4h1VGCV2pJJ81RtRTWi1i+qbk33Sji0nSV0sXE9v8/c72/vY7GqUSpHhMYX0p0cvlkHbnHvQkuxGTbndjvX63VrUqvJyxUbKz0383tufOzlGSVlaxYhlskTBbB78GorWJZpVjK5JzxmoicnNKXyMYqfbqTXMlZeW5PNtdbF7S9e1nQUljsLryhPt8wbFbdtzjqDjqar6hf3Op3LXl5LvkfG5toGcADt7CoWbd2pKKmLrzoqjztwWybdl6Lbq+nUqVarKmqbk+VbK+i+X3luDVtUhxFBcYx0Gxf8Kq3H2b7BNu+/8vl9fXmrGraj/al9Je+Ts34+XdnGAB1/CqV0cW7D1x/OqrV3zOHPzxV0m77bXSe3f7uw5zfM1e6V7X/rQkJJOTRRRXGZBRk4xmiii7AktrqezmFxbPtdehwD2x3q7c+LPEF5aw2dzqG6K33eSvlINu45PQc8+tZ1FdFLF4qhBwp1JRT3SbSfyXovuNYVq1OLjGTSe6Tev9WQ4yuV2FuPTFNBIORRRWDlKW7Mrti729aWeaW4lM0zZY9Tim0U+aXLa+g7u1jUt/HHjGy0HW/C9nrnl6f4i+zf2xb/AGaM/aPs774vmK7k2tz8pGe+azFdl4U0lFVOtWqSvKTb833bb/Ft+rbNKlatVUVOTfKrK7bsrt2XZXbfq292K7GSMxOcqeoqNIIo2DomCOhzT6Khyb3ZkXdJuraDzPtUmM428H39KgvpIXuWNucocY/L3qGiumWLqSwyotKy69ev+Zo6jdNQtsGT0oBI6Giiua7MwqS2dBOrTH5RnP5VHRVQm4SUkNOzua+oP4ZfS7M2pzdfvPtf3/7w29eOnp+NUdONh9pQ35+Tnf19Djp+FVqK6quOdWtGo6cVa2iWjsktddb2182zWdbnmpcqVrbLTRJa+ttfO4l8YzbttPp/OlqO6/492/D+dSVyTk5yuzF6hRRRUgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFR3X/Hu34fzqSo7r/j3b8P50ASUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVI/l7TtjwfXNMT7wpK0jK0XoO5paPreq6BCZNNu9n2j748tT90nHUH1NR6dNo8+sxNrV59kt33b5fLaTbhTjheTzgfjUUn/HlB/wL+ddx+y1/wAnAeGv+3z/ANJJq93L4VcXjsLg3L3XKCSd3FOTjfS60d22k1fuj1csoTx+ZYbByl7spwir3aXNJJ6XXfVJq/dHIahfWPlw3el2+zdu2vvJ9B0P41SnvLi5IM0mcdOBUkn/ACL+n/8AbX/0Oq1edjq9WVW17JqLstFrFPZHBXnJz9Un2WyJHI5KjFdHceFrDTdIuluP388mz7PPyvk4b5vlBw2Qcc9KxNK/4+I/x/ka0PDX/ITT8f8A0E16uV08PJ/vYcznom/s3Vm7bPfTazV009ujB+zvaUbuWifa+j067/K11qVnh0/ToYzPZeez5+bzCuMH2+tZyOQw28Vo+J/+Q5P/AMB/9BFZqfeFebmDUMS6cEkotpWS6aXvu72vq3YwxHu1HBbJtfcWJI44pUymQc5GajuJCSFQbVHReuKdbf8AHyn4/wAqL/8A13+fas6mtCUo6K+3yXUzbvG6H6Pq95oeox6nYybZYs7DgHGQQeoPY0sFiLmynuTJgw7cDHXJxVV/vGu8+Av/ACNw/wA/8s5K78kwzzTH08BUl7sm0uqTate112XXojuy3DvH4ynhJSspO3ezel7adl62OX0PxGdAEkS2nm78ZPmbemfY+tV/tU+tanuvJMmX73A7L7Y9K3fjZ/yU7U/+2P8A6Jjrlk+8KjH1cThMZLL5T5qdKcopWsnaTX4+bdrk432uFxM8JKXNGnKS7Xs2r/P1djc8U6XY6LDHHZw4M2cnceMEepPrWPbqr53CtPxN/q4v+Bf0rNtP4vwq8z5FmrhCKjGyslstP89SMXyfWmoqy7fIkvL2QhrRBtj4wvX3qsuScZ605/8AXGptO+834f1rznzYrFJSfdfJdDlbc56kH3PfNWhq1wNL/s4fd9eP72fSoL3/AI+W/D+VRVCqVcNUnGm7Xun6ApSpt8r8jRn1qNfDmoafJZbmuPK2S+Zjy9r5PGOc9PameJPE/iDxjr114n8U6l9rv7zZ58/kpHu2KEX5UAUfKoHAHSs26/492/D+dSVdfMMVXpqEpPlStbo7OTTa6tc8rN3aTaTsazxVedJU3J8umnR25rNrq1zSs3qk2loaEGvzwWU9l5eVn27jkcbTn0p+neJZtPDhbfdux/HjGM+3vWZRVQzPH05RcZ6x0W3n5ebFHE14tNS22/r5lmLVLqKMRI+FHQYH+FMu7v7Vt/d7due+ahornlisROnySldGTnNqzY5ZXThWx+FSi/kFr9l28euffNQUVMK9WmrRfS3yBSktmOWUrG0Y6PjP4VJaXMdtu3wb92MfNjFQ0UoVqkJJp7bf18xKTTOs8E/FMeBfG2i+L7Hw1566P9p22n2zb5nmxsn3ipxjdnoc9OK5C2Vo4lVhyM8U+iunEZjjMXCMKsrqLbWiVm1GL2S6QirbK2m7v01sbia9GNKcrxi20rJWbUYvZdoRVttNN3d3me1IzFjk0lFcbk3ucoUE5AHpRRQnYAq2+qK5B+zdP9v/AOtVSitaWIq0b8jtf0KjOUdh9xMJ5N4Tb7ZzVma/0ySzMEWkbJD0l+0Mcc56fTiqdFOOJqxcmre9vdJ/ddafKw1Ukr+fkv6XyAEg5FWl1SWO2jt41xszls9cnPpVWippV6tG/I7XFGUo7MUMRwDSahcyz25EjZx7e4oqO6/492/D+dSpzUXFPRiu7ElFFFQIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI7r/j3b8P51JUd1/wAe7fh/OpKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqO6/492/D+dSVHdf8AHu34fzoAkooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI7r/j3b8P51JUd1/x7t+H86koAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACo7r/j3b8P51JUd1/x7t+H86AJKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/9k=", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "show_qc_image('./afni_pro_glm/sub_08.results/QC_sub_08/media/qc_03_vstat_Full_Fstat.axi.jpg', 'Full F_stat (stats.sub_08_REML)')" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### Statistical Files\n", "AFNI’s GUI provides extensive control over how to explore statistical maps. However, for this analysis, we will visualize some of these results using Nilearn to plot thresholded contrast maps. First, we'll convert the ```stats.sub_08_REML``` file to NIfTI format using ```AFNItoNIFTI``` and inspect the metadata of the stats.sub_08_REML dataset with the command ```3dinfo```." ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "++ 3dAFNItoNIFTI: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n" ] } ], "source": [ "!3dAFNItoNIFTI -prefix ./afni_pro_glm/sub_08.results/stats.sub_08_REML+tlrc.nii.gz ./afni_pro_glm/sub_08.results/stats.sub_08_REML+tlrc" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "scroll-output" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "++ 3dinfo: AFNI version=AFNI_21.2.00 (Jul 8 2021) [64-bit]\n", "\n", "Dataset File: stats.sub_08+tlrc\n", "Identifier Code: XYZ_x4aAlweUZ-h-BasfMg8M3Q Creation Date: Thu May 1 05:30:14 2025\n", "Template Space: MNI\n", "Dataset Type: Func-Bucket (-fbuc)\n", "Byte Order: LSB_FIRST [this CPU native = LSB_FIRST]\n", "Storage Mode: BRIK\n", "Storage Space: 14,124,916 (14 million) bytes\n", "Geometry String: \"MATRIX(-3,0,0,90,0,-3,0,126,0,0,3,-72):61,73,61\"\n", "Data Axes Tilt: Plumb\n", "Data Axes Orientation:\n", " first (x) = Left-to-Right\n", " second (y) = Posterior-to-Anterior\n", " third (z) = Inferior-to-Superior [-orient LPI]\n", "R-to-L extent: -90.000 [R] -to- 90.000 [L] -step- 3.000 mm [ 61 voxels]\n", "A-to-P extent: -90.000 [A] -to- 126.000 [P] -step- 3.000 mm [ 73 voxels]\n", "I-to-S extent: -72.000 [I] -to- 108.000 [S] -step- 3.000 mm [ 61 voxels]\n", "Number of values stored at each pixel = 13\n", " -- At sub-brick #0 'Full_Fstat' datum type is float: 0 to 57.8599\n", " statcode = fift; statpar = 2 278\n", " -- At sub-brick #1 'congruent#0_Coef' datum type is float: -19.2888 to 19.8009\n", " -- At sub-brick #2 'congruent#0_Tstat' datum type is float: -4.80356 to 8.21562\n", " statcode = fitt; statpar = 278\n", " -- At sub-brick #3 'congruent_Fstat' datum type is float: 0 to 67.4963\n", " statcode = fift; statpar = 1 278\n", " -- At sub-brick #4 'incongruent#0_Coef' datum type is float: -17.3512 to 20.0187\n", " -- At sub-brick #5 'incongruent#0_Tstat' datum type is float: -5.54419 to 9.81473\n", " statcode = fitt; statpar = 278\n", " -- At sub-brick #6 'incongruent_Fstat' datum type is float: 0 to 96.329\n", " statcode = fift; statpar = 1 278\n", " -- At sub-brick #7 'incongruent-congruent_GLT#0_Coef' datum type is float: -20.2822 to 21.2336\n", " -- At sub-brick #8 'incongruent-congruent_GLT#0_Tstat' datum type is float: -4.32906 to 5.61382\n", " statcode = fitt; statpar = 278\n", " -- At sub-brick #9 'incongruent-congruent_GLT_Fstat' datum type is float: 0 to 31.5149\n", " statcode = fift; statpar = 1 278\n", " -- At sub-brick #10 'congruent-incongruent_GLT#0_Coef' datum type is float: -21.2336 to 20.2822\n", " -- At sub-brick #11 'congruent-incongruent_GLT#0_Tstat' datum type is float: -5.61382 to 4.32906\n", " statcode = fitt; statpar = 278\n", " -- At sub-brick #12 'congruent-incongruent_GLT_Fstat' datum type is float: 0 to 31.5149\n", " statcode = fift; statpar = 1 278\n", "\n", "----- HISTORY -----\n", "[jovyan@jupyter-monidoerig: Thu May 1 05:30:14 2025] {AFNI_21.2.00:linux_openmp_64} 3dDeconvolve -input pb03.sub_08.r01.scale+tlrc.HEAD pb03.sub_08.r02.scale+tlrc.HEAD -ortvec motion_demean.1D mot_demean -polort 2 -num_stimts 2 -stim_times 1 stimuli/congruent.1D GAM -stim_label 1 congruent -stim_times 2 stimuli/incongruent.1D GAM -stim_label 2 incongruent -gltsym 'SYM: +incongruent -congruent' -glt_label 1 incongruent-congruent -gltsym 'SYM: +congruent -incongruent' -glt_label 2 congruent-incongruent -jobs 8 -GOFORIT 0 -fout -tout -x1D X.xmat.1D -xjpeg X.jpg -fitts fitts.sub_08 -errts errts.sub_08 -bucket stats.sub_08\n", "[jovyan@jupyter-monidoerig: Thu May 1 05:30:14 2025] Output prefix: stats.sub_08\n", "\n" ] } ], "source": [ "!3dinfo -verb ./afni_pro_glm/sub_08.results/stats.sub_08+tlrc.HEAD" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "🧠 **Summary of Regressors and Contrasts**\n", "\n", "The following table provides key information from the ```3dinfo``` output of the ```stats.sub_08_REML dataset```. It includes the regressors (conditions) and contrasts, as well as their associated T-statistics. These values will be visualized as T-stat maps using Nilearn to examine the statistical significance of the task-related effects.\n", "\n", "| Sub-brick | Label | Meaning |\r\n", "|-----------|--------------------------------------------|-------------------------------------------------------------------------|\r\n", "| **#1** | `congruent#0_Coef` | Beta weight (coefficient) for congruent trials |\r\n", "| **#4** | `incongruent#0_Coef` | Beta weight (coefficient) for incongruent trials |\r\n", "| **#7** | `incongruent-congruent_GLT#0_Coef` | Beta weight (coefficient) for the contrast between incongruent and congruent trials |\r\n", "| **#10** | `congruent-incongruent_GLT#0_Coef` | Beta weight (coefficient) for the contrast between congruent and incongruent tri0als |\r\n", "| **#2** | `congruent#0_Tstat` | T-statistic for congruent trials |\r\n", "| **#5** | `incongruent#0_Tstat` | T-statistic for incongruent trials |\r\n", "| **#8** | `incongruent-congruent_GLT#0_Tstat` | T-statistic for incongruent > congruent |\r\n", "| **#11** | `congruent-incongruent_GLT#0_Tstat` | T-statistic for congruent > incongruent |" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Critical t-value for p=0.05 and df=278: 1.969\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Degrees of freedom (statpar)\n", "df = 278\n", "\n", "# Calculate the critical t-value for two-tailed p=0.05\n", "alpha = 0.05\n", "critical_t_value = t.ppf(1 - alpha/2, df)\n", "print(f\"Critical t-value for p=0.05 and df={df}: {np.round(critical_t_value,3)}\")\n", "\n", "# Load image\n", "img = nib.load('./afni_pro_glm/sub_08.results/stats.sub_08_REML+tlrc.nii.gz')\n", "data = img.get_fdata()\n", "affine = img.affine\n", "\n", "# Extract contrasts\n", "tstat_congruent = data[:, :, :, 0, 2] #sub-brick #2\n", "tstat_incongruent = data[:, :, :, 0, 5]\n", "tstat_incongruent_gt_congruent = data[:, :, :, 0, 8]\n", "tstat_congruent_gt_incongruent = data[:, :, :, 0, 11]\n", "\n", "# Make NIfTI images\n", "tstat_congruent_img = nib.Nifti1Image(tstat_congruent, affine)\n", "tstat_incongruent_img = nib.Nifti1Image(tstat_incongruent, affine)\n", "tstat_contrast1_img = nib.Nifti1Image(tstat_incongruent_gt_congruent, affine)\n", "tstat_contrast2_img = nib.Nifti1Image(tstat_congruent_gt_incongruent, affine)\n", "\n", "# Plot\n", "plotting.plot_stat_map(tstat_congruent_img, title=\"Congruent\", threshold=critical_t_value) \n", "plotting.plot_stat_map(tstat_incongruent_img, title=\"Incongruent\", threshold=critical_t_value)\n", "plotting.plot_stat_map(tstat_contrast1_img, title=\"Incongruent > Congruent\", threshold=critical_t_value)\n", "plotting.plot_stat_map(tstat_contrast2_img, title=\"Congruent > Incongruent\", threshold=critical_t_value)\n", "\n", "plotting.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.6" } }, "nbformat": 4, "nbformat_minor": 4 }