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.S13 { margin: 3px 10px 5px 4px; padding: 0px; line-height: 18px; min-height: 0px; white-space: pre-wrap; color: rgb(33, 33, 33); font-family: Helvetica, Arial, sans-serif; font-style: normal; font-size: 17px; font-weight: 700; text-align: left; }</style></head><body><div class = rtcContent><h1 class = 'S0'><span>MATLAB Reproducibility Survey Analysis</span></h1><div class = 'S1'><span style=' font-weight: bold;'>Dr David Wilby</span><span>, </span><a href = "https://rse.shef.ac.uk"><span>Research Software Engineering Team, University of Sheffield</span></a></div><div class = 'S1'><span>version 1</span></div><div class = 'S1'><span>As part of a fellowship from the </span><a href = "https://software.ac.uk/"><span>Software Sustainability Institute</span></a><span> I'm gathering data around the opinions of researchers on topics in research reproducibility as they relate to MATLAB specifically.</span></div><div class = 'S1'><span>The data will be used to help inform course materials for training researchers who use MATLAB to use the tools available in producing research output that is more reproducible.'</span></div><div class = 'S1'><span>This MATLAB live script can be used to re-run the data analysis and present the results and is itself an example of </span><span style=' font-style: italic;'>literate programming</span><span> - presenting the analysis and conclusions alongside one another. Clone its repository from GitHub or download the source code as a zip archive to run it locally.</span></div><div class = 'S1'><span>Before we start, let's just do some setup.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span style="color: rgb(0, 128, 19);">% setup</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >clear </span><span style="color: rgb(0, 128, 19);">%clear the workspace</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >filename = matlab.desktop.editor.getActiveFilename; </span><span style="color: rgb(0, 128, 19);">% get name of this file</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >[dir,~,~] = fileparts(filename);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >cd(fullfile(dir)); </span><span style="color: rgb(0, 128, 19);">% move current folder to the root directory of the project</span></span></div></div><div class="inlineWrapper"><div class = 'S4'><span style="white-space: pre"><span >openProject(</span><span style="color: rgb(167, 9, 245);">"Survey.prj"</span><span >); </span><span style="color: rgb(0, 128, 19);">% open the project file</span></span></div></div></div><div class = 'S5'><span>In the public version, we'll work with anonymised data from the survey, but privately, this live script was also used to randomly select one respondent for a GBP 50 gift card, you can see the process used at the bottom.</span></div><div class = 'S1'><span>Firstly, we'll read in the data as a table and remove a few rows which have been manually identified as being spurious responses.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span style="color: rgb(0, 128, 19);">% Read in raw data file.</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >data_file = fullfile(</span><span style="color: rgb(167, 9, 245);">"data"</span><span >, </span><span style="color: rgb(167, 9, 245);">"raw"</span><span >, </span><span style="color: rgb(167, 9, 245);">"anonymised_responses.csv"</span><span >);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >warning(</span><span style="color: rgb(167, 9, 245);">'OFF'</span><span >, </span><span style="color: rgb(167, 9, 245);">'MATLAB:table:ModifiedAndSavedVarnames'</span><span >)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >rawData = readtable(data_file,</span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S4'><span style="white-space: pre"><span > </span><span style="color: rgb(167, 9, 245);">'VariableNamingRule'</span><span >,</span><span style="color: rgb(167, 9, 245);">'modify'</span><span >);</span></span></div></div></div><div class = 'S5'><span>It's good research practice to include all the steps used in cleaning the data ready for analysis. Here, we'll also rename some columns to give them more concise names (since Google Forms, which was used in running the survey, uses the full text in the form to name columns, resulting in inconvenient names), for brevity, this is done in the custom function </span><span style=' font-family: monospace;'>renameColumns()</span><span>, which is available in the codebase.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span style="color: rgb(0, 128, 19);">% Remove spurious responses</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >cleanedData = rawData;</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >cleanedData([112, 113, 168, 174:179, 206], :) = [];</span></span></div></div><div class="inlineWrapper"><div class = 'S3'> </div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span style="color: rgb(0, 128, 19);">% Rename columns</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >cleanedData = renameColumns(cleanedData);</span></span></div></div><div class="inlineWrapper"><div class = 'S4'> </div></div></div><div class = 'S5'><span>Lastly, we'll also tidy up the institution names, since this was a free text field in the form, this is a somewhat manual process as well, which I've achieved with code and included as part of the processing here.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span style="color: rgb(0, 128, 19);">% Make institution names uniform</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >cleanedData.institution = tidyInstitutions(cleanedData.institution);</span></span></div></div><div class="inlineWrapper"><div class = 'S4'> </div></div></div><div class = 'S5'><span>Once that's done, we're ready to do some analysis. Most of these are done in custom functions which can be found in the </span><span style=' font-family: monospace;'>src</span><span> folder (short for "source code") of the repository.</span></div><h2 class = 'S6'><span>Who makes up the study group?</span></h2><div class = 'S1'><span>This survey was circulated via social media (e.g Twitter, Mastodon) and by a few mailing lists via research software engineers contacted through the RSE Society slack. At the University of Sheffield, where I work, it was also sent out to all users of MATLAB. These were chosen deliberately to target users in a university research setting. We can see from the raw data that the vast majority of respondents were based at academic research institutions, most of which were universities. There were no responses that needed to be removed as a result of being outside of this target group.</span></div><div class = 'S1'><span>One caveat is that, without targeting more user groups consisting of all MATLAB users, many of the respondents may have been likely to be more expert than a representative sample by being on RSE mailing lists, following RSEs on social media etc. However, as you'll see, we collected self-perceived experience levels, allowing the data to be categorised on that basis.</span></div><div class = 'S1'><span>To start with, I asked the respondents to indicate their self-perceived level of expertise with MATLAB, and with programming in general.</span></div><div class = 'S1'><span>Let's divide this up according to their reported career stage, note that it was possible for respondents to select multiple career stages.</span></div><div class="CodeBlock"><div class="inlineWrapper outputs"><div class = 'S7'><span style="white-space: pre"><span >plotExperienceCharts(cleanedData)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsWarningElement" uid="E7D861C0" prevent-scroll="true" data-testid="output_0" style="width: 1137px; white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="diagnosticMessage-wrapper diagnosticMessage-warningType eoOutputContent" data-previous-available-width="1107" data-previous-scroll-height="17" data-hashorizontaloverflow="false" style="max-height: 261px; white-space: normal; font-style: normal; color: rgb(179, 98, 5); font-size: 12px;"><div class="diagnosticMessage-messagePart" style="white-space: pre-wrap; font-style: normal; color: rgb(179, 98, 5); font-size: 12px;">Warning: MATLAB has disabled some advanced graphics rendering features by switching to software OpenGL. For more information, click here.</div><div class="diagnosticMessage-stackPart" style="white-space: pre; font-style: normal; color: rgb(179, 98, 5); font-size: 12px;"></div></div></div></div></div><div class="inlineWrapper outputs"><div class = 'S9'><span style="white-space: pre"><span >set(gcf,</span><span style="color: rgb(167, 9, 245);">'Units'</span><span >,</span><span style="color: rgb(167, 9, 245);">'normalized'</span><span >,</span><span style="color: rgb(167, 9, 245);">'Position'</span><span >,[0 0 1 1.5]); </span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="5A421123" prevent-scroll="true" data-testid="output_1" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><div class = 'S5'><span>As you might expect, we can conclude that undergraduate students were more likely to perceive themselves as novices and academics were more likely to report that thy were competent practitioners or experts both in MATLAB and in programming more generally. Whilst not so useful in itself, these data can be used later on for us to draw some conclusions about which experience levels are relevant to some other requirements.</span></div><h2 class = 'S6'><span>Awareness of and Use of Version Control</span></h2><div class = 'S1'><span>Now we can get into the questions that provide more insight that will be relevant to my training course.</span></div><div class = 'S1'><span>Version control (or source code management) is an exceptionally valuable tool in any development of code. I wanted to know how likely our respondents were to use source code management tools such as </span><span style=' font-weight: bold;'>git</span><span> as well as online hosting and collaboration platforms such as </span><span style=' font-weight: bold;'>GitHub</span><span>. Additionally, I was interested to see whether there would be a difference in usage when it comes to working in MATLAB versus other languages.</span></div><div class = 'S1'><span>For this and the next few questions, I asked participants to respond "Not aware of", "Aware of but don't use", "Aware of and use with MATLAB", "Aware of and use outside MATLAB", and they could choose more than one if they wanted to. In the analysis I've derived another classification "Use outside but not with MATLAB" which is what it sounds like.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >awarenessTable = cleanedData(:, {</span><span style="color: rgb(167, 9, 245);">'role'</span><span >, </span><span style="color: rgb(167, 9, 245);">'matlabExperience'</span><span >, </span><span style="color: rgb(167, 9, 245);">'programmingExperience'</span><span >, </span><span style="color: rgb(167, 9, 245);">'awareness_versionControl'</span><span >, </span><span style="color: rgb(167, 9, 245);">'awareness_github'</span><span >, </span><span style="color: rgb(167, 9, 245);">'awareness_CICD'</span><span >, </span><span style="color: rgb(167, 9, 245);">'awareness_dataAvailability'</span><span >, </span><span style="color: rgb(167, 9, 245);">'awareness_dependencyMgmt'</span><span >, </span><span style="color: rgb(167, 9, 245);">'awareness_literateProgramming'</span><span >, </span><span style="color: rgb(167, 9, 245);">'awareness_docGen'</span><span >, </span><span style="color: rgb(167, 9, 245);">'awareness_softwareTesting'</span><span >});</span></span></div></div><div class="inlineWrapper"><div class = 'S3'> </div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >plotAwareness(awarenessTable, </span><span style="color: rgb(167, 9, 245);">"awareness_versionControl"</span><span >)</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Version control (e.g. git, subversion, mercurial, etc.)"</span><span >)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="E555932D" prevent-scroll="true" data-testid="output_2" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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IJ26SXPy/tJDn1vKmRtGJgnuY5zIAABCEAAAhAoNwECuHLrz+ghAIGSEFAYo9VkmuRr6+m+++7rtuFpBZlWg2hSqiCs6dZGhTfaBqYArvK8pIbINPnXP3qum1biaBWWAgRtRWw4adbkVuGbwj4FEzoqW8UUnuhZWc1t0VT4p+142mLY9KhMpCsrl5r+vVYHKXxT6KKVTzoq2w+1Yk0BYtOJvVa5bbfddosn1q0FcA2DtHrHV6m5Eqg0XFGjUFS89Ay7pm9r1Iqdhi/C0NZfBRUNA7h///vf7mHxSQM4PZ9M2/UaBnBaGaYViWkFcBqvAlat+nryySfdVuCFCxcufsZcJdDRtlZtva2Mq+kz4ORfhXk65B39dyWMqoQj/fv3dwGc/KbVktpWrVVzCmj0WdB20IaHWMknLYU9rXm9oXe1YlB9yp/yvA4Fplp1p+f4adVfJYBr+Nw8aaxnimmrsVZjtXY09zZYha36nFeeLFIJyKWdPF3PuCthlrg19xzGpHo1/e5oyEsrHxX06btDq1XlY30XaSVgPQGcgkZ9bqWXQsnKofb1nMqmAVzl/4CorJBLckuorFitBPVJruEcCEAAAhCAAAQgQACHByAAAQiUhIAm+ArKtA1Qq8a0qkWTXa3k0hZUTdK1VU6HVgtpW6O2sunvmwZw2u6p7asKyLTVToe2SirkqIQKzW1B1Qo5PWdNh56fpCBC2x61ra3WAK7ybC+tZNNKIh3adqoH92t1nbb3aXWUni2lFwro0DgUXmilkZ4RlTSAa7g9rbk6K1tQax1fxXrNraipbEHV88u0okuHttYpVNBz8hROKKBSSKIXFSjgkWaVLaiVlWGV8ErBjLY/KtBsLuCpPJ+tni2oCkgVcGglobZd6pmAzT0PTttNFa7JazoUVmm1VyWgUV0K6CqrILXKTZo2DeA0Zq1ulH56gYZCSj3nTw/O16EVmVo1Ka2kvwIZBUjioxWPCv20RVUr0hT0iKO2VWqrZFNPJPF6Q0/ofH1utP1RnxEdCht1jlZX6llkSQI4hcHaYlvZBtvwa6rWAE7+r3Xc6q8SCspLCsXeffddtxVZ2iqsTapXawGcfKxntukfbXeVh+RnrYKrrLxrqEk1j1W2oFZekKDAU6GmwkKFc5UArrKtthK6SzP5Toc8pc+a/k8K6ajtsAqEK9tRmwvMS3IbYZgQgAAEIAABCLSBAAFcG+BxKQQgAIGYCFS2WmlbpwI3PceocmiSr0mqHkyvB7ZrAqqQQ6u89MKBpgGcAhcFGnpQvbZ1KnzRlj8FWwob9EKFpi9h0ORV4ZhCOm2R06okBXgKZTThrjWA03Y7Taorb9bUajetZlHYoNBFYZOCHgVWCukUDGm1nJ7FpTHpqBbAafKuFTrakqjQRKGeVjdpjA1XwCnsqWd8Ff4KFRRaaTzioUOrmSrPAtMLIBQ46dl2AwcOdFtFK9tpK6v5tOJLq520LVZb47SaSAFQJbyqbIOsrMJq6l0930thqgI6aaTQSiGG3kja0go4bcNTeKjnrymY0TPImtuuXOlLzyJTeKHATKvNFO5qW7T8pjGqHf23dJOOel6czqm8SKLy7C2NQas51b+CSvmx4coxhZYKaKWbAj5tLa4clTeQKqhR6KPt2Qrg9Mwv8W7qiSReb+rdyjMWFXZrtaJCaYVJCnVUd5IArrmtsJUx1BrASZtax62+pL9COH0XKJhVIKrPjkJ0hc3V9GquTrXbkJdCRoVcCj+lhT6jWnGnz4F8omc8KjzU3+v7o9Jm022tFTaVN68qhNU2XNWsl1bo+0lbvPWCBwW18qJWruoFEPo+lM+0lVyrSBV4a0Wkgjd91rVVvrJSV/1oVahWh1Z8G9N9gFohAAEIQAACEPBHgADOH3t6hgAEIJArAQUJeh6W3hqqIEdbDiuHwgFNVhWgaWujJsgKDRSytTSJ1soRhUAKYLTqRxNeBTeHHXZYs+GWAjD9vVYAaTWWQhatMNHKk6aTcq1G0tHaFlT9vVbsKVjQyhVN0hXaqE0Fgzq0ckdhh8IV/ZmCEa2WU+Cno1oAp3O0lU+Bl9jdf//9bgLfNIDTefWMr6EBFH4pBNPKLD2jT4f60fi0DVhBoMICjU/BUtMATivfFDCIiYI8BVMKDSorsaoFcOpPwYp4ffHFF6ZAT+HITTfd5IIwPbutadCkYE4hjEJdraCTBxTAVVYzNTW4QkWtVFMgomehKexVP1oNqeBPY5d/FPKoLW3hlE+0vVKBYOW5gQpOFFhqFZZYaOu0dKoclZV1+m+FLeqzcoiDtiKrdgWnemZh5SUgzXlCf1bN6025KLiVbtoeq3BVIaieTSf9dCQN4LSq8ZNPPlnie6KeAK6ecatjPbtRYab4a8Wsgjh9BnRU0ytJAKfPurwjneQ3heUKKeUhrVicNGmS67dpANeSx1SXnluoF7NodZ2C3soLYPR3CqX1DEEF+ApI9dnWZ0fffwpItTpSeqoefY4qnmsYwFW2h1dW2S0hEH8AAQhAAAIQgAAEmiFAAIctIAABCEAAAgEQ0Gofrahp+FywWsrS6iCtHFKQp+Cm1gfFV7b8KfRQYKRDQYWepZXkuWSVWrV6SNs6Fdxw1E9AQaqeCdj0jbf1t1icK316TEGmVscpMFZwp9W8HBCAAAQgAAEIQCAJAQK4JJQ4BwIQgAAEIJAxAT1fS6u+9PIIrfpp+JKFJF1ra6ye7aeVQVqtowBM23Ar20ertaE3UFbCu3PPPdetDlPQoed9aUVZ0qBB24+15VFbFDnqJyANpk6d6rZTczQm4NNjWjGnNwY3fDYj+kAAAhCAAAQgAIEkBAjgklCK+Bxt49FzljSx0zNz9HwTbffRoW1fWvHQ8NB2GW254IAABCAAgfwJVLaVNt0inKQSbXXU1sDKg+wV5GnrZcOtxtXa0Wo3rcLTs6/0goLvfve7biufngGW5NALFq6//nq31biyDTjJdZyzJAG91ETPKatsx4bR/xLw6TFtB1ZIri33WuWp31UcEIAABCAAAQhAICkBArikpCI8T8/a0cOT9RyT3r17uweG6/lAd9xxh3smkFY66I2Ieq4RBwQgAAEIQAACEIAABCAAAQhAAAIQgEA2BAjgsuEaRKsK4PQMIL0prHJoW5IeXq0HDOuth/r75ZZbLoh6KQICEIAABCAAAQhAAAIQgAAEIAABCBSRAAFcEVVtZkzaLqG3kemZMtpmqq2nu+yyi3tW0MSJE93bA7U6Tv80d1QeyF0SXAwTAhCAAAQgAAEIQAACECg4Ab19nAMCEIBAXgQI4PIi7bGf3//+93baaafZyiuvbBdeeKHtuuuuNnPmTLvmmmusT58+tu2229orr7xiAwcOtOHDh7tnzjQ9FMBxg/Iooseu0d4j/Ii7xjcRi+e5dLzjWYBIu8c3kQrnuWx841kAz90n0Z9FCJ5Fovs2E2AO32aEqTZAAJcqznAb++qrr+zVV1+1IUOG2FlnneVCuKbHxRdfbHPmzLHLLruMAC5cKXOvLMmPk9yLosPgCeCb4CUKtkC8E6w0QReGb4KWJ9ji8E2w0uRSWBL9k5yTS7F0AoE6CODfOqBlfAkBXMaAfTavN3RNmzatUdg2bNgw9/YuvSlvxowZ1r1798Ul6s132pqqVXBNDz68PpX02zfa++Ufa+/4Jlbl/NeNd/xrEGMF+CZG1fzXjG/8a+CzgiT6JznH5xjoGwKtEcC/4fmDAC48TVKr6MUXX7SjjjrKbrvtNttqq63s3XfftSOOOMIGDBhgm2yyiR122GE2cuRI93eTJk1y51511VXujakEcKnJEH1DfHFHL6GXAeAbL9gL0SneKYSMuQ8C3+SOvBAd4ptCyFj3IJLon+ScugvgQghkTAD/Zgy4juYJ4OqAFtMlDzzwgN166632wQcfWKdOndwz37T6rV27du5lDDfffLPNmjXL1lhjDRfMHXDAAc0Ojw9vTKqnWyvap8uzLK3hm7Ionf448U76TMvQIr4pg8rpjxHfpM80phaT6N/0nKWWWir4IS5atCj4GikwHwJJPJ5PJfRSIUAAhxcSEeDDmwhTIU9C+0LKmvmg8E3miAvbAd4prLSZDgzfZIq3sI3jm8JKm2hgSfRvLoCbPW79RO37OGm1fd6yhgGcngPesWNHa9++/RLlPPbYY83ufEqz7scff9y6du1qXbp0SbNZ2kpIIInHEzbFaSkRIIBLCWTRm+HDW3SFWx4f2pdX+7aMHN+0hV65r8U75da/3tHjm3rJlfs6fIP+1d4QWZQA7p133rF11103N8EXLlzodlz17dvX7b7acccdc+ubjv6PAN9x4bmBAC48TYKsiA9vkLLkUhTa54K5cJ3gm8JJmtuA8E5uqAvVEb4plJy5DQbf5IY6yI6S6F/0AO6aa66xP/3pT/bQQw85jfbYYw/bfffd3cq4fv362Z577ml///vf7cMPP7Rrr73Wdt55Z5s3b54NHjzY/va3v1mHDh3s+OOPtxNOOMFdv+qqq9ppp51ml19+ufu3Xu739a9/3S655BLXHke+BJJ4PN+K6I0ADg8kIsCHNxEmToIABCAAAQhAAAIQgAAEIiCQZH5T9ABOK9W23XZbO//8893W1WHDhtkzzzxjr776qm266aYumPvhD3/o/n3iiSfav/71Lxs6dKh7ud8dd9xhc+fOdS/0u/fee22LLbawzp07W//+/d2L/fS8vM0228yuv/56VsB5+jwk8bin0krbLQFcaaWvbeB8eGvjxdkQgAAEIAABCEAAAhCAQLgEksxvihLALbPMMo2E0HbUN954w/3Zyy+/bIcccogL4O68807r0aOHvfLKK7bddtvZRx995II0BXVLL720C9569eplv/rVr2yHHXZw1//sZz9zK+EuvPBCW2uttey+++5bHLgRwPn1fxKP+62wfL0TwJVP87pGzIe3LmxcBAEIQAACEIAABCAAAQgESCDJ/KYoAVy1Z8Bpy+n8+fPtr3/9q1NKAZy2oipwqxwrrbSSWx2nYK5Tp04udNPxxRdfuGe9aaWbArgnnnjCunXr5v6OAM6v8ZN43G+F5eudAK58mtc1Yj68dWHjIghAAAIQgAAEIAABCEAgQAJJ5jdlCOAeeeQRu+CCC9wKuNNPP9322WcfF8Bts8029vHHH7uXKSicW3bZZW3mzJluBdztt9/utp42PRTAjR8/3jbeeGMCuAA8n8TjAZRZqhII4Eold/2D5cNbPzuuhAAEIAABCEAAAhCAAATCIpBkflP0AO6zzz5zW05/85vfuG2m++23n02ePNmmT5/uVq8paDvooIPs7rvvds+Jmzp1qnsG3H//+1+79dZbbcGCBXbGGWe4Fyz07NnTrYBrGMBtvfXWdt5559lee+0VlvglqSaJx0uCIphhEsAFI0XYhfDhDVsfqoMABCAAAQhAAAIQgAAEkhNIMr8pSgDXvn37JcBo1Zue8aa3mmr7qI7jjjvOOnbsaIMGDbI+ffrY/vvvb+PGjXN/d9ttt9l3v/tdd75eyPDUU0+5AE5bVfU2VT0jrmkA9/Of/9y9AVUvdzjllFOSi8OZqRBI4vFUOqKRxAQI4BKjKveJfHjLrT+jhwAEIAABCEAAAhCAQJEIJJnfxB7A1auXtqDuvffeNm3atHqb4LoACCTxeABllqoEArhSyV3/YPnw1s+OKyEAAQhAAAIQgAAEIACBsAgkmd80F8CFNYolq9Gz3Np6KIDTttG33nqrrU1xvUcCSTzusbxSdk0AV0rZax80H97amXEFBCAAAQhAAAIQgAAEIBAmgSTzmyTnhDm6tlVFANc2fqFcXVb/hsK/uToI4EJWJ6Da+PAGJAalQAACEIAABCAAAQhAAAJtIpBkfpPknDYVwcUQyJAA/s0Qbp1NE8DVCa5sl/HhLZvijBcCEIAABCAAAQhAAALFJZBkfpPknOISYmSxE8C/4SlIABeeJkFWxIc3SFkoCgIQgAAEIAABCEAAAhCog0CS+U0RngGnZ8JdddVV9otf/MI9022NNdawvn37mt5IVYhlAAAgAElEQVRQuvzyy9dBLp1L3nzzTXv33XetV69edTf4+OOPW9euXa1Lly6N2hg/frx973vfs2WWWcb9uf69zTbb2A033GAbbrhh3f01vLBh/SNGjLCXXnrJfv3rX1tLf55KpzU2ksTjNTbJ6W0kQADXRoBluZwPb1mUZpwQgAAEIAABCEAAAhAoPoEk85vmArjX+n49WDj/c/9Ma/oShqFDh9r999/vAjiFUAq9fvKTn9j8+fPtz3/+s7exXHfddTZ37lw7++yz665BQeIpp5xiO+644xIB3JFHHrn4JRKfffaZnXvuufbYY4/ZCy+80OjcBQsWWPv27WuuoWH9n376qeO50korWUt/XnMHNVzQ0hiSeLyGbjg1BQIEcClALEMTfHjLoDJjhAAEIAABCEAAAhCAQDkIJJnfxB7AffDBB/aNb3zD/vKXv9hWW221WNiPP/7Y7rjjDhswYIB98skn9uMf/9ief/55a9eunR100EF23nnn2VJLLeVWy+l/jxs3zl5//XW3ku7hhx+2SZMmudDqj3/8o6244oq2yiqr2Omnn25/+tOfbMaMGTZw4EA77bTTXH+XXHKJjRo1yv3vnXbaybRa7Nlnn7X99tvPtXH44Yfb5Zdf3ux5Wrl2wAEH2KabbmrPPPOMvfPOO7b++uvbAw88YNdcc40L777+9a+7a/v167d4fFoB1zCA019ozKp19uzZdvvtt7vxTp482XbbbTe7+OKL7ac//alrd+HChfbd737XfvnLX1rHjh1dSDho0CDHUCsGVf/Xvva1RvWvs846bgXc0Ucf3eyfa2Xchx9+2CrnCy+80H7729+6FXSHHXaYCwxb4icu4id/jhkzxm666Sbbe++9l/jgJvF4OT7t4YySAC4cLYKuhA9v0PJQHAQgAAEIQAACEIAABCBQA4Ek85vYA7jf/e53dtJJJ9m0adNaJDN48GD7/PPP7bbbbnMh1bbbbusCLQU6a621lg0ZMsTOPPNMF0gdf/zx9vLLL7vgR8GVwrNDDz3UVl99dTvmmGNckPX++++7baEK6V599VU79dRTXXi2wgor2IEHHmjbb7+9W4F38sknu+sUoj300EMtnqdA8L333jNtN1Vgt9lmm9mll15qP/zhD93/vv7666uugNPgFaStvPLK7t8KH8855xxXl2pVkKiVdC+++KILIbfbbjtXo8amP9fqNvWj0G7nnXe2mTNnOiaV+htuQW04roZ/Xo3zEUcc4cb173//24WMs2bNsgkTJrTIRSwVSD766KMuEGzuSOLxGj4ynJoCAQK4FCCWoQk+vGVQmTFCAAIQgEARCWgVA0f8BJpuK4t/RIwAAn4JJJnfxB7AjR492m688UYXNLV0bLDBBnbXXXe54E2Hgimt1tJWSgVwjzzyiPXo0cOefPJJF7L985//dOdp1dw3v/lNt3JMQZRCrK233tr9nZ6/plVjCs3WW289O+uss9yfq63hw4fbU0891SiAO/bYY1s8TwHclltu6frRoZVuu+66q6slaQCnVX4K+hSgKdS6+eab7b777nPhlQ59v+qcTp06uf8+4YQTrHPnzm4Vmp4Zd+eddy4e25w5c1yQp2CulgCuGucHH3xwcR9rrrmmW3GnlYEt8ROXTTbZpNUtvEk87vdTWL7eCeDKp3ldI+bDWxc2LoIABCAAAQh4J6AAbva49b3XQQH1E1htn7eWeK5T/a1xJQQgIAJJ5jexB3B/+MMfTOGWnvvW0qFtldo+WXk5wdVXX+22iN59990ugHv66afdKjH9W6u4dK4O/e91113XzjjjDBdEVVaT6e/22Wcf23333V3gpusqwZaeVbbaaqu5NhquFPvRj37U4nkKmrR19bjjjnP9Nvzv1gK4hi9hWHbZZd0qOYWRemGDArgnnnjC7rnnHtfmf/7zH9Oz8l555RW3Am769OkuQDz//PPdc90mTpy4xMsbWlrp1tKfV+OsbbMbb7yxq0fc9d9i2xI/cejdu7cLQls6knicb4N8CRDA5cs72t748EYrHYVDAAIQgEDJCRDAxW8AArj4NWQE4RFIMr+JPYDTSjatptKz2RRiVQ5tOVVQdOWVV7pVVNqSqa2hOrRabd68ee4Za7UEcNpGqpc86NCbTRXQVd5SWnkeXEMXNAyqFK4p5GvuvHoDuKbPgGvYtwI4BVwKGXVoxZu2pupZddrmqno0dgVwCib15xU+WgGoVWl65l2tK+Ba49xcAKctrEm5NPcJS+Lx8D6Zxa6IAK7Y+qY2Oj68qaGkIQhAAAIQgECuBAjgcsWdSWcEcJlgpdGSE0gyv4k9gJPE2kap57vpLahaMaXnlyn8Wm655dzbUfWMN22/HDlypAuhevbs6baf6hlvtQRwCsr0nLS33nrLvvOd79hrr73mngOnQE/bV/UCBPWhQy9/0JZSbf284oorTCv1WjqvtQBOW171koi99tqrkZubewlDawGc+th8881dqKZVcFqRp39Um56hpyDzV7/6lXtpg4JMPZNO/Vbqb/ist4bjavjn1Tg3F8DphQxJuRDAxfGFRgAXh07eq0xyg/JeJAVAAAIQgAAEILAEAQK4+E1BABe/howgPAJJ5jdFCOBE/oYbbnDbLxXo6M2mesumAqSll1660ds5db9QOKbtmDpqCeB0jd4uqrBKK9kUOOnQiwX0Age9yECruRRk6a2hWh237777uq2q2gra0nmtBXA///nP3Qsjhg0b5p7JVjlqDeC0fVZM9NZTvS12//33N70UQbUqcNM2Xj23TiGiQjW9AKJh/Xppg7bV6m2nLf15w7egNse5uQBOW1KTciGAC+87prmKCODi0Ml7lUluUN6LpAAIQAACEIAABAjgCugBArgCisqQvBNIMr8pSgCXNWxtxdQLDrQ1kyMcAkk8Hk615aiEAK4cOrd5lHx424yQBiAAAQhAAAJeCLACzgv2VDslgEsVJ41BwBFIMr9pLoALHZ+PNyYrgNOLCtZfnxf+hOSPJB4Pqd4y1EIAVwaVUxgjH94UINIEBCAAAQhAwAMBAjgP0FPukgAuZaA0B4E6AzjANU+AAC5MZzCHD08XArjwNAmyIj68QcpCURCAAAQgAIGqBAjgqiIK/gQCuOAlosAICSSZ3yQ5J8KhU3JJCODf8IQmgAtPkyAr4sMbpCwUBQEIQAACEKhKgACuKqLgTyCAC14iCoyQQJL5TZJzIhw6JZeEAP4NT2gCuPA0CbIiPrxBykJREIAABCAAgaoECOCqIgr+BAK44CWiwAgJJJnf8Ay4CIWl5MUEkngcXPkSIIDLl3e0vfHhjVY6CocABCAAgZITIICL3wAEcPFryAjCI5BkftNsAPeTx8IbTKWiq75vDV/C8NVXX1nHjh1tyJAhds011yyue+zYsfbrX//a9O96jpVXXtleeuklXrpQD7wcr0ni8RzLoSszI4DDBokI8OFNhImTIAABCEAAAsERIIALTpKaCyKAqxkZF0CgKoEk85siBHArrriiKTB79NFH7dvf/rbj0tYA7oMPPrDVVlvN2rdvX5UzJ/gjkMTj/qorZ88EcOXUveZR8+GtGRkXQAACEIAABIIgQAAXhAxtKoIArk34uBgCzRJIMr8pQgC3wgor2IgRI+yBBx6wRx55ZIkA7sMPP7Qf//jH9vzzz1u7du3soIMOsvPOO8/OPPNMmzt3rt14443umjlz5ti6665r7777rm2wwQZuBdx6661n559/vo0ZM8bmz59vgwcPttNPP92df8kll9ioUaPc/95pp51cDcssswxuzJFAEo/nWA5dsQIODyQlwIc3KSnOgwAEIAABCIRFgAAuLD3qqYYArh5qXAOB1gkkmd8UIYBbbrnl7IsvvrAtttjCLrjgAuvTp0+jFXAKzT7//HO77bbb7OOPP7Ztt93WhWdrr7227bPPPi5w06GQ7a677rI//OEPbkWdAriXX37Zhg8fbk8++aR9+eWX1qNHD7vjjjtccHfqqafaM888YwoADzzwQNt+++3tJz/5CbbMkUASj+dYDl0RwOGBpAT48CYlxXkQgAAEIACBsAgQwIWlRz3VEMDVQ41rIEAAp2fALbvssqZ/jx8/3o455hibMmWKC9Eqz4DTajYFawredJxzzjmmVXHXXXedffOb37R7773XttxyS9tvv/1ceHfkkUcuDuAuuugi22ijjeynP/2pu/ajjz6y5Zdf3q2o0+q4s846y/25Vt4pqHvqqaewZY4EmMPnCDthV2xBTQiq7Kfx4S27Axg/BCAAAQjESoAALlbl/q9uArj4NWQE4RFIMr8pwgq4SgAnBfr27Ws9e/Y0jasSwCkw02q2DTfc0Il09dVX27PPPmt33323C9a+9rWv2RlnnGHrrLOOvfnmmy58q6yAO+mkk2yvvfZywV7D40c/+pE9/fTT1qlTJ/fHCxYscM+MUz8c+RFI4vH8qqEnESCAwweJCPDhTYSJkyAAAQhAAALBESCAC06SmgsigKsZGRdAoCqBJPObogVw06ZNs2222ca0cu2hhx5yW1G1Ak7bRrVFVIdWrc2bN8+9NVVB3HHHHeee86Ytqg8++KA7pxLAqR1dr+fF6XjvvfdMW1713127drXTTjutqg6ckB2BJB7Prndabo4AARy+SESAD28iTJwEAQhAAAIQCI4AAVxwktRcEAFczci4AAJVCSSZ3xQtgBMUhWO/+c1vbJNNNnEB3JAhQ+yTTz6xkSNHume3aYWctp/utttujuH6669vm222mVs9d9hhhzUK4F588UW3ZVWr3XRsvfXW9stf/tI9S05Bnp4Np7ewqm0dAwYMqKoLJ6RHIInH0+uNlpIQIIBLQolz3DLl1157DRIQgAAEIAABCERGgAAuMsGaKZcALn4NGUF4BJLMb4oYwGl1m8alsEwBXMO3oOp+oZBs6NChiwXTixNuuukme//9912YpqOyAk7PeTv33HPd204XLlzo3oKq7ao6Lr30UhfG6e2oWg33q1/9ym1j5ciPQBKP51cNPYkAARw+SESAD28iTJwEAQhAAAIQCI4AAVxwktRcEAFczci4AAJVCSSZ38QewFWFwAmFJpDE44UGEODgCOACFCXEkvjwhqgKNUEAAhCAAASqEyCAq84o9DMI4EJXiPpiJJBkftNsABf4YBctWhR4hZSXF4EkHs+rFvr5XwIEcDghEQE+vIkwcRIEIAABCEAgOAIEcMFJUnNBBHA1I+MCCFQlkGR+k+Scqh1xAgQ8EcC/nsC30i0BXHiaBFkRH94gZaEoCEAAAhCAQFUCBHBVEQV/AgFc8BJRYIQEksxvkpwT4dApuSQE8G94QhPAhadJkBXx4Q1SFoqCAAQgAAEIVCVAAFcVUfAnEMAFLxEFRkggyfxG53BAIGYCvEgxLPUI4MLSI9hqktyggi2ewiAAAQhAAAIlJkAAF7/4BHDxa8gIwiPA/CY8TagIAkUnQABXdIVTGh83qJRA0gwEIAABCEAgZwIEcDkDz6A7ArgMoNJk6Qkwvym9BQAAgdwJEMDljjzODrlBxakbVUMAAhCAAAQI4OL3AAFc/BoygvAIML8JTxMqgkDRCRDAFV3hlMbHDSolkDQDAQhAAAIQyJkAAVzOwDPojgAuA6g0WXoCzG9KbwEAQCB3AgRwuSOPs0NuUHHqRtUQgAAEIAABArj4PUAAF7+GjCA8AsxvwtOEiiBQdAIEcEVXOKXxcYNKCSTNQAACEIAABHImQACXM/AMuiOAywAqTZaeAPOb0lsAABDInQABXO7I4+yQG1SculE1BCAAAQhAgAAufg8QwMWvISMIjwDzm/A0oSIIFJ0AAVzBFX766aftiiuusHfffddWWmklGzBggPXv39+N+tVXX7Vzzz3X3nzzTVt55ZXt5JNPtj59+jRLhBtUwY3C8CAAAQhAoLAECODil5YALn4NGUF4BJjfhKcJFUGg6AQI4Aqs8Pvvv2+77767jRgxwnr37m2TJ0+2Qw45xO644w7beOONbdddd7VjjjnGDjroIPd3Rx99tN1zzz224YYbLkGFG1SBjcLQIAABCECg0AQI4OKXlwAufg0ZQXgEmN+EpwkVQaDoBAjgCqywAriXXnrJfvCDHywe5T777OOCts6dO9uZZ55pjz/++OK/Gzp0qK299tpuJVzTgxtUgY3C0CAAAQhAoNAECODil5cALn4NGUF4BJjfhKcJFUGg6AQI4Iqu8P8f3/z58238+PFuy+nYsWPt0UcftSeeeMJuu+22xQRuueUWtxLu+uuvJ4AriS8YJgQgAAEIFJ8AAVz8GhPAxa8hIwiPAAFceJpQEQSKToAArugKm9nvf/97O+2009xz3i688EK39VTB24svvmg33HDDYgKjRo2yCRMm2MiRI5sN4FpD9dprr5WAJEOEAAQgAAEIxEeAAC4+zZpWTAAXv4aMIH8CCtiqHcxhqhHi7yEAgTQJEMClSTPgtr766iv30oUhQ4bYWWedZbNmzbKHH37YRo8evbjq6667zl5//XW79tprmw3guEEFLDClQQACEIAABFogQAAXvzUI4OLXkBGER4AVcOFpQkUQKDoBArgCK/zGG2/YtGnT3Iq3yjFs2DDTdlS97VTPetNbUtu1a+f++sQTT7SNNtrI/bvpwQ2qwEZhaBCAAAQgUGgCBHDxy0sAF7+GjCA8AsxvwtOEiiBQdAIEcAVWWFtMjzrqKLfddKuttrJ3333XjjjiCBswYID169fPvZxBb0U9/PDDbeLEiXb88ce758N16dKFAK7AvmBoEIAABCBQLgIEcPHrTQAXv4aMIDwCBHDhaUJFECg6AQK4giv8wAMP2K233moffPCBderUya18O+WUU9yqN20pPfvss+2f//ynrbnmmnb66afbLrvs0iwRblAFNwrDgwAEIACBwhIggItfWgK4+DVkBOERYH4TniZUBIGiEyCAK7rCKY2PG1RKIGkGAhCAAAQgkDMBAricgWfQHQFcBlBpsvQEmN+U3gIAgEDuBAjgckceZ4fcoOLUjaohAAEIQAACBHDxe4AALn4NGUF4BJjfhKcJFUGg6AQI4IqucErj4waVEkiagQAEIAABCORMgAAuZ+AZdEcAlwFUmiw9AeY3pbcAACCQOwECuNyRx9khN6g4daNqCEAAAhCAAAFc/B7wEcDJNxzxE1i0aFH8g8hoBMxvMgJLsxCAQIsECOAwRyIC3KASYeIkCEAAAhCAQHAECOCCk6TmgnwFcLPHrV9zrVwQDgEfvgln9NUrYX5TnRFnQAAC6RIggEuXZ2Fb4wZVWGkZGAQgAAEIFJwAAVz8AvsIUvANvomfQOsjYH5TdIUZHwTCI0AAF54mQVbEDSpIWSgKAhCAAAQgUJUAQUpVRMGfQAAXvERBFujDN0GCaKEo5jcxqUWtECgGAQK4YuiY+Si4QWWOmA4gAAEIQAACmRAggMsEa66N+ghS8E2uEmfSmQ/fZDKQjBplfpMRWJqFAARaJEAAhzkSEeAGlQgTJ0EAAhCAAASCI0CQEpwkNRfkI0jBNzXLFNwFPnwTHIRWCmJ+E5Na1AqBYhAggCuGjpmPghtU5ojpAAIQgAAEIJAJAYKUTLDm2qiPIAXf5CpxJp358E0mA8moUeY3GYGlWQhAoEUCBHCYIxEBblCJMHESBCAAAQhAIDgCBCnBSVJzQT6CFHxTs0zBXeDDN8FBaKUg5jcxqUWtECgGAQK4YuiY+Si4QWWOmA4gAAEIQAACmRAgSMkEa66N+ghS8E2uEmfSmQ/fZDKQjBplfpMRWJqFAARaJEAAhzkSEeAGlQgTJ0EAAhCAAASCI0CQEpwkNRfkI0jBNzXLFNwFPnwTHIRWCmJ+E5Na1AqBYhAggCuGjpmPghtU5ojpAAIQgAAEIJAJAYKUTLDm2qiPIAXf5CpxJp358E0mA8moUeY3GYGlWQhAoEUCBHCYIxEBblCJMHESBCAAAQhAIDgCBCnBSVJzQT6CFHxTs0zBXeDDN8FBaKUg5jcxqUWtECgGAQK4YuiY+Si4QWWOmA4gAAEIQAACmRAgSMkEa66N+ghS8E2uEmfSmQ/fZDKQjBplfpMRWJqFAARaJEAAhzkSEeAGlQgTJ0EAAhCAAASCI0CQEpwkNRfkI0jBNzXLFNwFPnwTHIRWCmJ+E5Na1AqBYhAggCuGjpmPghtU5ojpAAIQgAAEIJAJAYKUTLDm2qiPIAXf5CpxJp358E0mA8moUeY3GYGlWQhAoEUCBHCYIxEBblCJMHESBCAAAQhAIDgCBCnBSVJzQT6CFHxTs0zBXeDDN8FBaKUg5jcxqUWtECgGAQK4YuiY+Si4QWWOmA4gAAEIQAACmRAgSMkEa66N+ghS8E2uEmfSmQ/fZDKQjBplfpMRWJqFAARaJEAAhzkSEeAGlQgTJ0EAAhCAAASCI0CQEpwkNRfkI0jBNzXLFNwFPnwTHIRWCmJ+E5Na1AqBYhAggCuGjpmPghtU5ojpAAIQgAAEIJAJAYKUTLDm2qiPIAXf5CpxJp358E0mA8moUeY3GYGlWQhAoEUCBHCYIxEBblCJMHESBCAAAQhAIDgCBCnBSVJzQT6CFHxTs0zBXeDDN8FBaKUg5jcxqUWtECgGAQK4YuiY+Si4QWWOmA4gAAEIQAACmRAgSMkEa66N+ghS8E2uEmfSmQ/fZDKQjBplfpMRWJqFAARaJEAAhzkSEeAGlQgTJ0EAAhCAAASCI0CQEpwkNRfkI0jBNzXLFNwFPnwTHIRWCmJ+E5Na1AqBYhAggCuGjpmPghtU5ojpAAIQgAAEIJAJAYKUTLDm2qiPIAXf5CpxJp358E0mA8moUeY3GYGlWQhAoEUCBHCYIxEBblCJMHESBCAAAQhAIDgCBCnBSVJzQT6CFHxTs0zBXeDDN8FBaKUg5jcxqUWtECgGAQK4YuiY+Si4QWWOmA4gAAEIQAACmRAgSMkEa66N+ghS8E2uEmfSmQ/fZDKQjBplfpMRWJqFAARaJEAAhzkSEeAGlQgTJ0EAAhDIlIAmxBzxE1i0aFGugyBIyRV3Jp35CFLwTSZS5tqoD9/kOsA2dsb8po0AuRwCEKiZAAFczcjKeQE3qHLqzqghAIGwCDAhDkuPeqrxMSHGN/UoFdY1+CYsPWKpxodvYmGjOpnfxKQWtUKgGAQI4IqhY+aj4AaVOWI6gAAEIFCVAEFKVUTBn+BjQoxvgrdF1QLxTVVEnNAMAR++iUkI5jcxqUWtECgGAQK4YuiY+Si4QWWOmA4gAAEIVCVAkFIVUfAn+JgQ45vgbVG1QHxTFREnEMDV7AHmNzUj4wIIQKCNBAjg2giwLJdzgyqL0owTAhAImQBBSsjqJKuNICUZJ85qTADf4Ih6CPjwTT11+rqG+Y0v8vQLgfISIIArr/Y1jZwbVE24OBkCEIBAJgQI4DLBmmujPibE+CZXiTPpDN9kgrXwjfrwTUxQmd/EpBa1QqAYBAjgiqFj5qPgBpU5YjqAAAQgUJUAQUpVRMGf4GNCjG+Ct0XVAvFNVUSc0AwBH76JSQjmNzGpRa0QKAYBArhi6Jj5KLhBZY6YDiAAAQhUJUCQUhVR8Cf4mBDjm+BtUbVAfFMVEScQwNXsAeY3NSPjAghAoI0ECODaCLAsl3ODKovSjBMCEAiZAEFKyOokq40gJRknzmpMAN/giHoI+PBNPXX6uob5jS/y9AuB8hIggCuv9jWNnBtUTbg4GQIQgEAmBAjgMsGaa6M+JsT4JleJM+kM32SCtfCN+vBNTFCZ38SkFrVCoBgECOCKoWPmo+AGlTliOoAABCBQlQBBSlVEwZ/gY0KMb4K3RdUC8U1VRJzQDAEfvolJCOY3MalFrRAoBgECuGLomPkouEFljpgOIAABCFQlQJBSFVHwJ/iYEOOb4G1RtUB8UxURJxDA1ewB5jc1I+MCCECgjQQI4NoIsCyXc4Mqi9KMEwIQCJkAQUrI6iSrjSAlGSfOakwA3+CIegj48E09dfq6hvmNL/L0C4HyEiCAK6/2NY2cG1RNuDgZAhCAQCYECOAywZproz4mxPgmV4kz6QzfZIK18I368E1MUJnfxKQWtUKgGAQI4IqhY+aj4AaVOWI6gAAEIFCVAEFKVUTBn+BjQoxvgrdF1QLxTVVEnNAMAR++iUkI5jcxqUWtECgGAQK4YuiY+Si4QWWOmA4gAAEIVCVAkFIVUfAn+JgQ45vgbVG1QHxTFREnEMDV7AHmNzUj4wIIQKCNBAjg2giwLJdzgyqL0owTAhAImQBBSsjqJKuNICUZJ85qTADf4Ih6CPjwTT11+rqG+Y0v8vQLgfISIIArr/Y1jZwbVE24OBkCEIBAJgQI4DLBmmujPibE+CZXiTPpDN9kgrXwjfrwTUxQmd/EpBa1QqAYBAjgiqFj5qPgBpU5YjqAAAQgUJUAQUpVRMGf4GNCjG+Ct0XVAvFNVUSc0AwBH76JSQjmNzGpRa0QKAYBArhi6Jj5KLhBZY6YDiAAAQhUJUCQUhVR8Cf4mBDjm+BtUbVAfFMVEScQwNXsAeY3NSPjAghAoI0ECODaCLAsl3ODKovSjBMCEAiZAEFKyOokq40gJRknzmpMAN/giHoI+PBNPXX6uob5jS/y9AuB8hIggCuv9jWNnBtUTbg4GQIQgEAmBAjgMsGaa6M+JsT4JleJM+kM32SCtfCN+vBNTFCZ38SkFrVCoBgECOCKoWPmo+AGlTliOoAABCBQlQBBSlVEwZ/gY0KMb4K3RdUC8U1VRJzQDAEfvolJCOY3MalFrRAoBgECuGLo2OIonnvuObv00kvtrbfeshVWWMGOPPJIO+KII9z5W2yxhX355ZeNrh07dqx17dp1ifa4QRXcKAwPAhCIggBBShQytVqkjwkxvsE39RDAN/VQC+saH983YRFovRrmNzGpRa0QKAYBArhi6NjsKD766CPbaaedbNiwYbb33nvb1KlT7eCDD7aRI4eGffkAACAASURBVEfaZpttZt26dbMJEyZY586dq1LgBlUVESdAAAIQyJwAE+LMEWfegY8JMb7JXNbMO8A3mSMuZAc+fBMTSOY3MalFrRAoBgECuGLo2OwoZs+e7QK2fffdd/Hf77///i6E22WXXaxnz5720ksv2XLLLVeVAjeoqog4AQI1EdCEmCN+AosWLcp1EAQpueLOpDMfE2K+bzKRMvdG+b7JHXn0Hfr4vokJGvObmNSiVggUgwABXDF0TDSKmTNn2p577mnjxo1z5yuE22OPPWzixIlue+ohhxzi/mnu0A2qteO1115LVAMnQQAC/0uAICV+J/iY2OAbfFMPAfnmtb5fr+dSrgmEwP/cP9MI4AIRI6IyfNynQsJTbf6iWpnDhKQYtUCg+AQI4IqvsRvh+++/bwMHDrQDDzzQDj30UFMYd80111ifPn1s2223tVdeecX9/fDhw2233XZbggr/D1FJjMIwcyNAkJIb6sw68jGxwTeZyZlbw758QwCXm8SZdEQAlwnWwjfq4/smJqjMb2JSi1ohUAwCBHDF0LHVUUyePNlOPvlkGzx4cKPtqE0vuvjii23OnDl22WWXEcCVwBcM0S8BghS//NPo3cfEBt+koZzfNnz5hgDOr+5t7Z0Arq0Ey3m9j++bmEgTwMWkFrVCoBgECOCKoWOLo3j55ZdtyJAhduWVV9pWW221+Dw9H27GjBnWvXv3xX92wQUXuLeiahVc04MbVMGNwvByJ0CQkjvy1Dv0MbHBN6nLmHuDvnxDAJe71Kl2SACXKs7SNObj+yYmuMxvYlKLWiFQDAIEcMXQsdlRfPbZZ+4ZbwrUdthhh0bnTJo0yQ477DD3RlQFc/rvo446yq666irr3bs3AVyBfcHQwiBAkBKGDm2pwsfEBt+0RbEwrvXlGwK4MPSvtwoCuHrJlfs6H983MREngItJLWqFQDEIEMAVQ8dmR/Hwww/bSSedZB07dmz09/3797czzzzTxo4dazfffLPNmjXL1lhjDRswYIAdcMABzbbFDarARmFoXggQpHjBnmqnPiY2+CZVCb005ss3BHBe5E6tUwK41FCWqiEf3zcxAWZ+E5Na1AqBYhAggCuGjpmPghtU5ojpoGQECFLiF9zHxAbf4Jt6CPAW1HqohXUNAVxYesRSjY/7VCxsVCfzm5jUolYIFIMAAVwxdMx8FNygMkdMByUjQJASv+A+Jjb4Bt/UQ4AArh5qYV1DABeWHrFU4+M+FQsbAriYlKJWCBSHAAFccbTMdCQEcJnipfESEiBIiV90HxMbfINv6iFAAFcPtbCuIYALS49YqvFxn4qFDQFcTEpRKwSKQ4AArjhaZjoSArhM8dJ4CQkQpMQvuo+JDb7BN/UQIICrh1pY1xDAhaVHLNX4uE/FwoYALialqBUCxSFAAFccLTMdCQFcpnhpvIQECFLiF93HxAbf4Jt6CBDA1UMtrGsI4MLSI5ZqfNynYmFDABeTUtQKgeIQIIArjpaZjoQALlO8NF5CAgQp8YvuY2KDb/BNPQQI4OqhFtY1BHBh6RFLNT7uU7GwIYCLSSlqhUBxCBDAFUfLTEdCAJcpXhovIQGClPhF9zGxwTf4ph4CBHD1UAvrGgK4sPSIpRof96lY2BDAxaQUtUKgOAQI4IqjZaYjIYDLFC+Nl5AAQUr8ovuY2OAbfFMPAQK4eqiFdQ0BXFh6xFKNj/tULGwI4GJSilohUBwCBHDF0TLTkRDAZYqXxktIgCAlftF9TGzwDb6phwABXD3UwrqGAC4sPWKpxsd9KhY2BHAxKUWtECgOAQK44miZ6UgI4DLFS+MlJECQEr/oPiY2+Abf1EOAAK4eamFdQwAXlh6xVOPjPhULGwK4mJSiVggUhwABXHG0zHQkBHCZ4qXxEhIgSIlfdB8TG3yDb+ohQABXD7WwriGAC0uPWKrxcZ+KhQ0BXExKUSsEikOAAK44WmY6EgK4TPHSeAkJEKTEL7qPiQ2+wTf1ECCAq4daWNcQwIWlRyzV+LhPxcKGAC4mpagVAsUhQABXHC0zHQkBXKZ4abyEBAhS4hfdx8QG3+CbeggQwNVDLaxrCODC0iOWanzcp2JhQwAXk1LUCoHiECCAK46WmY6EAC5TvDReQgIEKfGL7mNig2/wTT0ECODqoRbWNQRwYekRSzU+7lOxsCGAi0kpaoVAcQgQwBVHy0xHQgCXKV4aLyEBgpT4RfcxscE3+KYeAgRw9VAL6xoCuLD0iKUaH/epWNgQwMWkFLVCoDgECOCKo2WmIyGAyxQvjZeQAEFK/KL7mNjgG3xTDwECuHqohXUNAVxYesRSjY/7VCxsCOBiUopaIVAcAgRwEWg5depU23jjjV2lM2bMsEceecTWXXdd23XXXXOrngAuN9R0VBICBCnxC+1jYoNv8E09BAjg6qEW1jUEcGHpEUs1Pu5TsbAhgItJKWqFQHEIEMAFruXtt99uV199tT3zzDP26aef2h577GGrr766zZ492/r372/HH398LiMggMsFM52UiABBSvxi+5jY4Bt8Uw8BArh6qIV1DQFcWHrEUo2P+1QsbAjgYlKKWiFQHAIEcIFrqVVuV1xxhfXo0cPGjBlj9913n40dO9befvttO/zww+3JJ5/MZQQEcLlgppMSESBIiV9sHxMbfINv6iFAAFcPtbCu8RXAhUWBauohsGjRonouK8U1zG9KITODhEBQBAjggpJjyWIUvE2cONE6duxoAwcOtK233toGDRrkTtxkk03slVdeyWUE3KBywUwnJSJAkBK/2ARw8WvoYwS+fPNa36/7GC59pkTAVwCHb1IS0FMzPnzjaah1dcv8pi5sXAQBCLSBAAFcG+DlcalWwF155ZVu2+luu+3mVr917drVpk+f7rag/uUvf8mjDOMGlQtmOikRAQK4+MX2FaTMHrd+/PBKPAJfviFIidt0PoIUVk7G7RlV78M3MVFjfhOTWtQKgWIQIIALXMc77rjDLr74YmvXrp0L4LQdde7cuXbwwQdbr1697IwzzshlBNygcsFMJyUiQAAXv9i+ghQCuLi948s3BHBx+8ZHkEIAF7dnCOCq68f8pjojzoAABNIlQACXLs9MWnvjjTfs448/tk033dTat29vCxYssLvuusuFcPrvPA5uUHlQpo8yESCAi19tX0EKAVzc3vHlGwK4uH1DABe3fr6q9+EbX2Otp1/mN/VQ4xoIQKAtBAjg2kIvh2t/+tOf2uWXX75ET/PmzbNTTz3VbrnllhyqMLag5kKZTspEQAEcR/wE8n64NcFt/J4hgItfQx8j8BGksALOh9Lp9unDN+mOINvWCOCy5UvrEIDAkgQI4AJ1hZ7x9uabb9qQIUPs2muvXaJKvQVVwRwvYQhUQMqCQBUCTGzit4iPiQ0BXPy+IYCLX0MfI/D1fcPKSR9qp9enD9+kV332LRHAZc+YHiAAgcYECOACdcRTTz1lN954o73wwgvWqVOnJapcdtllbf/997dTTjkllxFwg8oFM52UiAABXPxi+5jYEMDF7xsCuPg19DECX983BHA+1E6vTx++Sa/67FtifpM9Y3qAAAQI4KLywOGHH26jR4/2XjM3KO8SUEDBCBDAxS+oj4kNAVz8viGAi19DHyPw9X1DAOdD7fT69OGb9KrPviXmN9kzpgcIQIAADg/UQYAbVB3QuAQCrRAggIvfHj4mNgRw8fuGAC5+DX2MwNf3DQGcD7XT69OHb9KrPvuWmN9kz5geIAABArioPPD666/biBEj3PPgPv/88yVqf/TRR3N5Eyo3qKhsQ7ERECCAi0CkKiX6mNgQwMXvGwK4+DX0MQJf3zcEcD7UTq9PH75Jr/rsW2J+kz1jeoAABAjgovJA3759be2117bevXtbx44dl6i9T58+lsfbFLlBRWUbio2AAAFcBCIRwMUvUoAjIIALUJQISvIRpHCfisAYAd6nYqLG/CYmtagVAsUgwEsYAtdxp512svHjx3uvkhuUdwkooGAEmNjEL6ivCfHscevHD6/EIyCAK7H4bRi6r+8bVsC1QbQALvXhmwCGnbgE5jeJUXEiBCCQEgECuJRAZtVMv379bOTIkbbCCitk1UWidrlBJcLESRBITIAALjGqYE/0MbFhC2qwdkhcGAFcYlSc2ICAr+8bAri4bejDNzERY34Tk1rUCoFiECCAC1zHJ554wsaMGWMK4rQVtel20+7du+cyAm5QuWCmkxIRIICLX2wfExsCuPh9QwAXv4Y+RuDr+4YAzofa6fXpwzfpVZ99S8xvsmdMDxCAQGMCBHCBO6Jbt262cOHCFqucMmWKdejQIfNRcIPKHDEdlIwAAVz8gvuY2BDAxe8bArj4NfQxAl/fNwRwPtROr08fvkmv+uxbYn6TPWN6gAAECOCi8sCnn37q3nL61Vdf2QcffOBWwTU8lllmmVzGww0qF8x0UiICBHDxi+1jYkMAF79vCODi19DHCHx93xDA+VA7vT59+Ca96rNviflN9ozpAQIQIICLygPz5s2z4cOH2+9+9ztbsGCBacWb/uzkk0+2yy+/3NZYY41cxsMNKhfMdFIiAgRw8YvtY2JDABe/bwjg4tfQxwh8fd8QwPlQO70+ffgmveqzb4n5TfaM6QECECCAi8oD55xzjr333ns2ZMgQO/jgg23y5Mk2f/58GzZsmH300Ud244035jIeblC5YKaTEhEggItfbB8TGwK4+H1DABe/hj5G4Ov7hgDOh9rp9enDN+lVn31LzG+yZ0wPEIAAAVxUHujVq5fdf//9bqWbngenAE7PfNMqOP3dCy+8kMt4uEHlgplOSkSAAC5+sX1MbAjg4vcNAVz8GvoYga/vGwI4H2qn16cP36RXffYtMb/JnjE9QAACBHBReWCLLbawCRMmWKdOnRoFcFr9tuOOO9qkSZNyGQ83qFww00mJCBDAxS+2j4kNAVz8viGAi19DHyPw9X1DAOdD7fT69OGb9KrPviXmN9kzpgcIQIAALioPDBo0yL7xjW/Y0KFDrUePHm4F3KxZs+yiiy6yzz77zEaOHJnLeLhB5YKZTkpEgAAufrF9TGwI4OL3DQFc/Br6GIGv7xsCOB9qp9enD9+kV332LTG/yZ4xPUAAAgRwUXlAz3876aSTbOrUqe7Zb1oJp+2n3bt3t6uvvtqFc3kc3KDyoEwfZSJAABe/2j4mNgRw8fuGAC5+DX2MwNf3DQGcD7XT69OHb9KrPvuWmN9kz5geIAABArgoPaCVb2+//barvUuXLi6Ay/PgBpUnbfoqAwECuPhV9jGxIYCL3zcEcPFr6GMEvr5vCOB8qJ1enz58k1712bfE/CZ7xvQAAQgQwOGBOghwg6oDGpdAoBUCBHDx28PHxIYALn7fEMDFr6GPEfj6viGA86F2en368E161WffEvOb7BnTAwQgQAAXvAf23HNPW7BgQdU6tSX1T3/6k7Vv377quW09gRtUWwlyPQSafPkutZQxsYnbFT4mNgRwcXtG1RPAxa+hjxH4+r7hPuVD7fT69OGb9KrPviXmN9kzpgcIQIAALngP3HfffbZw4UJX55w5c+zuu++2nXfe2dZbbz0XzE2bNs3Gjx9vxxxzjB166KGmCVnWBzeorAnTftkIsAIufsV9TGwI4OL3DQFc/Br6GIGv7xsCOB9qp9enD9+kV332LTG/yZ4xPUAAAgRwUXlg4MCBdsIJJ9jmm2/eqO5nn33WbrjhBhs9enQu4+EGlQtmOikRAQK4+MX2MbEhgIvfNwRw8WvoYwS+vm8I4HyonV6fPnyTXvXZt8T8JnvG9AABCBDAReUBBW9//etfbbnllmtU96effmpbb721TZkyJZfxcIPKBTOdlIgAAVz8YvuY2BDAxe8bArj4NfQxAl/fNwRwPtROr08fvkmv+uxbYn6TPWN6gAAECOCi8sA+++xjvXv3tkGDBtnyyy/vav/kk0/slltucc9/e/jhh3MZDzeoXDDTSYkIEMDFL7aPiQ0BXPy+IYCLX0MfI/D1fUMA50Pt9Pr04Zv0qs++JeY32TOmBwhAgAAuKg+89NJLNnjwYJs9e7atssoqtmjRIps7d64tu+yydv3119v222+fy3i4QeWCmU5KRIAALn6xfUxsCODi9w0BXPwa+hiBr+8bAjgfaqfXpw/fpFd99i0xv8meMT1AAAIEcNF54KuvvrIXXnjB/v3vf9sXX3xha665pm255ZbWqVOn3MbCDSo31HRUEgIEcPEL7WNiQwAXv28I4OLX0McIfH3fEMD5UDu9Pn34Jr3qs2+J+U32jOkBAhAggCuVB5577jm79NJL7a233rIVVljBjjzySDviiCMcg1dffdXOPfdce/PNN23llVe2k08+2fr06dMsH25QpbINg82BAAFcDpAz7sLHxIYALmNRc2ieAC4HyAXswtf3DQFc3Gby4ZuYiDG/iUktaoVAMQgstUh7GjmCJfD666/biBEjXEj2+eefL1Hno48+au3bt2+2/o8++sh22mknGzZsmO299942depUO/jgg23kyJHWvXt323XXXe2YY46xgw46yCZPnmxHH3203XPPPbbhhhsu0R43qGAtQmGREiCAi1S4BmX7mNgQwMXvGwK4+DX0MQJf3zcEcD7UTq9PH75Jr/rsW2J+kz1jeoAABBoTIIAL3BF9+/a1tdde272IoWPHjktUqxVrmpA1d+i5cRMmTLB999138V/vv//+LoRbZ5117Mwzz7THH3988d8NHTrU9aWVcE0PblCBG4XyoiNAABedZEt+L94/0z2XM8+DAC5P2tn0RQCXDdeit+ojSOE+Fb+rfPgmJmrMb2JSi1ohUAwCBHCB66gVbOPHj0+lypkzZ9qee+5p48aNc8HcE088YbfddtvitvVmVa2E08sdCOBSQU4jEGiRABOb+M3hY2JDABe/bwjg4tfQxwh8fd+wAs6H2un16cM36VWffUsEcNkzpgcIQKAxAQK4wB3Rr18/t2VUz29ry/H+++/bwIED7cADD7RDDz3UBW8vvvii3XDDDYubHTVqlAvm1F9zAVxr/b/22mttKY9rIVA6AgRw8UvuY2JDABe/bwjg4tfQxwh8fd8QwPlQO70+ffgmverb3pICtmoHc5hqhPh7CEAgTQIEcGnSzKAtrVIbM2aMKYjT9tCm2031LLdqh1a1aVvp4MGDF29HvfPOO+3hhx+20aNHL778uuuuMz1z7tprr202gOMGVY00fw+B5AQI4JKzCvVMHxMbArhQ3ZC8LgK45Kw48/8I+Pq+IYCL24U+fBMTMVbAxaQWtUKgGAQI4ALXsVu3brZw4cIWq5wyZYp16NChxb9/+eWXbciQIXbllVfaVltttfi8v//97y6Ue/rpp61du3buz0888UTbaKON3L+bHtygAjcK5UVHgAAuOsmW/F7kGXDxi+hhBARwHqAXoEsfQQr3qfiN48M3MVFjfhOTWtQKgWIQIIALXMdPP/20xbecqvRlllmmxRF89tlntscee9jw4cNthx12aHTeV199ZT/4wQ/skEMOscMPP9wmTpxoxx9/vI0dO9a6dOlCABe4LygvfgJMbOLX0MfEhhVw8fuGAC5+DX2MwNf3DSvgfKidXp8+fJNe9dm3RACXPWN6gAAEGhMggIvEEfPmzbMZM2a4avUG0+WXX75q5dpietJJJy3x9tT+/fu7N6BqS+nZZ59t//znP23NNde0008/3XbZZZdm2+UGVRU3J0CgJgIEcDXhCvJkHxMbArggrVBTUQRwNeHi5P9PwNf3DQFc3Bb04ZuYiDG/iUktaoVAMQgQwAWu48cff+yCsccff9wWLVrkqtWW0d13392tbEsSxKUxRG5QaVCkDQj8HwECuPjd4GNiQwAXv28I4OLX0McIfH3fEMD5UDu9Pn34Jr3qs2+J+U32jOkBAhBoTIAALnBHaKXaW2+95baHVraGTps2zW666SbTTWPYsGG5jIAbVC6Y6aREBAjg4hfbx8SGAC5+3xDAxa+hjxH4+r4hgPOhdnp9+vBNetVn3xLzm+wZ0wMEIEAAF5UHevXqZffee6917ty5Ud2zZs1ybzTVSxTyOLhB5UGZPspEgAAufrV9TGwI4OL3DQFc/Br6GIGv7xsCOB9qp9enD9+kV332LTG/yZ4xPUAAAgRwUXlgu+22Mz3LbaWVVmpUt16w0LNnT5s8eXIu4+EGlQtmOikRAQK4+MX2MbEhgIvfNwRw8WvoYwS+vm8I4HyonV6fPnyTXvXZt8T8JnvG9AABCBDAReWBE044wTp16uSeA7fqqqu62ufMmWNXXXWVTZ8+3UaPHp3LeLhB5YKZTkpEgAAufrF9TGwI4OL3DQFc/Br6GIGv7xsCOB9qp9enD9+kV332LTG/yZ4xPUAAAgRwUXlg5syZdtxxx9nUqVNtlVVWcbV/+OGH7vlvI0aMsA022CCX8XCDygUznZSIAAFc/GL7mNgQwMXvGwK4+DX0MQJf3zcEcD7UTq9PH75Jr/rsW2J+kz1jeoAABAjgovOA3n46adIke+edd1ztehlD9+7dTROxvA5uUHmRpp+yECCAi19pHxMbArj4fUMAF7+GPkbg6/uGAM6H2un16cM36VWffUvMb7JnTA8QgAABXJQe0LbT999/35ZZZhlbc801bfnll891HNygcsVNZyUgQAAXv8g+JjYEcPH7hgAufg19jMDX9w0BnA+10+vTh2/Sqz77lpjfZM+YHiAAAQK4qDygVW+nnnqqvfzyy43q3mGHHezCCy+0ddZZJ5fxcIPKBTOdlIgAAVz8YvuY2BDAxe8bArj4NfQxAl/fNwRwPtROr08fvkmv+uxbYn6TPWN6gAAECOCi8sBhhx1mq6++uh1yyCG21lpr2cKFC+29996zX/7yl/bJJ5/YnXfemct4uEG1jDnPrcC5iF3STrTVO8+DAC5P2tn05WNiw/dNNlrm3SrfN3kTj78/X983BHBxe8eHb2IixvwmJrWoFQLFILDUorx/BRaDW26j0Eq3CRMmWPv27Rv1qfBtu+22c8+Gy+PgBtV6ADd73Pp5yEAfGRFgRUpGYAverI+JDcFt/KbCN/Fr6GME+MYH9fj79OGbmKgxv4lJLWqFQDEIEMAFrmPfvn1t1KhR1qlTp0aV/vvf/7ajjjrK/vjHP+YyAm5QBHC5GM1TJwRwnsBH3q2PiQ0BXOSmMTN8E7+GPkaAb3xQj79PH76JiRrzm5jUolYIFIMAAVzgOj700EP2m9/8xvr162frrbee24I6ffp0u+uuu2y//fazTTfddPEINtpoo8xGww2KAC4zcwXQMAFcACJEWIKPiQ0BXIRGaVIyvolfQx8jwDc+qMffpw/fxESN+U1MalErBIpBgAAucB27devmQrckx5QpU6xDhw5JTq35HG5QBHA1myaiCwjgIhIroFJ9TGwI4AIyQJ2l4Js6wZX8MnxTcgPUOXwfvqmzVC+XMb/xgp1OIVBqAgRwgcs/Z86cJZ7/1lLJK664Ymaj4QbVegCXGXgazo1A3o/DJEjJTdrMOvIxscE3mcmZW8P4JjfUheoI3xRKztwG48M3uQ0uhY6Y36QAkSYgAIGaCBDA1YTLz8lTp061jTfe2HU+Y8YMe+SRR2zddde1XXfdNbeCuEG1HsDxlrDcrJhJRz5+oBKkZCJlro3im1xxF6YzfFMYKXMdCL7JFXdhOvPhm5jgMb+JSS1qhUAxCBDABa7j7bffbldffbU988wz9umnn9oee+xhq6++us2ePdv69+9vxx9/fC4j4AZFAJeL0Tx14uMHKgGcJ7FT7BbfpAizRE3hmxKJneJQ8U2KMEvUlA/fxISX+U1MalErBIpBgAAucB21yu2KK66wHj162JgxY+y+++6zsWPH2ttvv22HH364Pfnkk7mMgBsUAVwuRvPUiY8fqARwnsROsVt8kyLMEjWFb0okdopDxTcpwixRUz58ExNe5jcxqUWtECgGAQK4wHVU8DZx4kTr2LGjDRw40LbeemsbNGiQq3qTTTaxV155JZcRcIMigMvFaJ468fEDlQDOk9gpdotvUoRZoqbwTYnETnGo+CZFmCVqyodvYsLL/CYmtagVAsUgQAAXuI5aAXfllVe6bae77babW/3WtWtXmz59utuC+pe//CWXEXCDIoDLxWieOvHxA5UAzpPYKXaLb1KEWaKm8E2JxE5xqPgmRZglasqHb2LCy/wmJrWoFQLFIEAAF7iOd9xxh1188cXWrl07F8BpO+rcuXPt4IMPtl69etkZZ5yRywi4QRHA5WI0T534+IFKAOdJ7BS7xTcpwixRU/imRGKnOFR8kyLMEjXlwzcx4WV+E5Na1AqBYhAggItAxzfeeMM+/PBD69y5s33jG9+wBQsW2F133eVCuPbt2+cyAm5QBHC5GM1TJz5+oBLAeRI7xW7xTYowS9QUvimR2CkOFd+kCLNETfnwTUx4md/EpBa1QqAYBAjgAtdx3rx5Nnz4cPvd737ngrcpU6aY/uzkk0+2yy+/3NZYY41cRsANigAuF6N56sTHD1QCOE9ip9gtvkkRZomawjclEjvFoeKbFGGWqCkfvokJL/ObmNSiVggUgwABXOA6nnPOOfbee+/ZkCFD3Iq3yZMn2/z5823YsGH20Ucf2Y033pjLCLhBEcDlYjRPnfj4gUoA50nsFLvFNynCLFFT+KZEYqc4VHyTIswSNeXDNzHhZX4Tk1rUCoFiECCAC1xHPeft/vvvdyvdunXr5gK4Dh06uFVw+rsXXnghlxFwgyKAy8Vonjrx8QOVAM6T2Cl2i29ShFmipvBNicROcaj4JkWYJWrKh29iwsv8Jia1qBUCxSBAABe4jltssYVNmDDBOnXq1CiA0+q3HXfc0SZNmpTLCLhBEcDlYjRPnfj4gUoA50nsFLvFNynCLFFT+KZEYqc4VHyTIswSNeXDNzHhZX4Tk1rUCoFiECCAC1zH2tqlFAAAIABJREFUQYMGuRcvDB061Hr06OFWwM2aNcsuuugi++yzz2zkyJG5jIAbFAFcLkbz1ImPH6gEcJ7ETrFbfJMizBI1hW9KJHaKQ8U3KcIsUVM+fBMTXuY3MalFrRAoBgECuMB11PPfTjrpJJs6dap79ptWwmn7affu3e3qq6924VweBzcoArg8fOarDx8/UAngfKmdXr/4Jj2WZWoJ35RJ7fTGim/SY1mmlnz4Jia+zG9iUotaIVAMAgRwkeiolW9vv/22q7ZLly4ugMvz4AZFAJen3/Luy8cPVAK4vFVOvz98kz7TMrSIb8qgcvpjxDfpMy1Diz58ExNX5jcxqUWtECgGAQK4gHVcuHChjRkzxvr27etWvvk8uEERwPn0X9Z9+/iBSgCXtarZt49vsmdcxB7wTRFVzX5M+CZ7xkXswYdvYuLI/CYmtagVAsUgQAAXuI477LCDjRo1yrp27eq1Um5QBHBeDZhx5z5+oBLAZSxqDs3jmxwgF7ALfFNAUXMYEr7JAXIBu/Dhm5gwMr+JSS1qhUAxCBDABa7juHHj7MEHH7Q999zTbT1deumlG1Wc11ZUblAEcIF/VNpUno8fqARwbZIsiIvxTRAyRFcEvolOsiAKxjdByBBdET58ExMk5jcxqUWtECgGAQK4wHXs1q2baStqS8eUKVOsQ4cOmY+CGxQBXOYm89iBjx+oBHAeBU+pa3yTEsiSNYNvSiZ4SsPFNymBLFkzPnwTE2LmNzGpRa0QKAYBArjAddQbTxWwabLe3LHMMsvkMgJuUARwuRjNUyc+fqASwHkSO8Vu8U2KMEvUFL4pkdgpDhXfpAizRE358E1MeJnfxKQWtUKgGAQI4IqhY+aj4AZFAJe5yTx24OMHKgGcR8FT6hrfpASyZM3gm5IJntJw8U1KIEvWjA/fxISY+U1MalErBIpBgACuGDpmPgpuUARwmZvMYwc+fqASwHkUPKWu8U1KIEvWDL4pmeApDRffpASyZM348E1MiJnfxKQWtUKgGAQI4IqhY+aj4AZFAJe5yTx24OMHKgGcR8FT6hrfpASyZM3gm5IJntJw8U1KIEvWjA/fxISY+U1MalErBIpBgACuGDpmPgpuUARwmZvMYwc+fqASwHkUPKWu8U1KIEvWDL4pmeApDRffpASyZM348E1MiJnfxKQWtUKgGAQI4CLQ8fPPP7e5c+da+/btbZVVVnH/zvvgBkUAl7fn8uzPxw9UArg8Fc6mL3yTDdeit4pviq5wNuPDN9lwLXqrPnwTE1PmNzGpRa0QKAYBArhAdVy0aJGNHj3a7r77bnvzzTcXV9mxY0fbfPPNbeDAgda7d+/cqucGRQCXm9k8dOTjByoBnAehU+4S36QMtCTN4ZuSCJ3yMPFNykBL0pwP38SElvlNTGpRKwSKQYAALlAdR4wYYePGjbPBgwfb2muvbSNHjrStt97aunXrZk888YTdf//9dvbZZ1u/fv1yGQE3KAK4XIzmqRMfP1AJ4DyJnWK3+CZFmCVqCt+USOwUh4pvUoRZoqZ8+CYmvMxvYlKLWiFQDAIEcIHquMMOO9jVV19tPXv2dBX+97//tb322sueeuoptwVVIdywYcNs/PjxuYyAGxQBXC5G89SJjx+oBHCexE6xW3yTIswSNYVvSiR2ikPFNynCLFFTPnwTE17mNzGpRa0QKAYBArhAdVTwdt9991mXLl1chdqS2qNHDxe4rbrqqjZnzhzbcccdbcqUKbmMgBsUAVwuRvPUiY8fqARwnsROsVt8kyLMEjWFb0okdopDxTcpwixRUz58ExNe5jcxqUWtECgGAQK4QHUcMGCArbnmmnb++eebnvv2i1/8wkaNGmV/+9vfbN68eXbllVfa5MmTXUiXx8ENigAuD5/56sPHD1QCOF9qp9cvvkmPZZlawjdlUju9seKb9FiWqSUfvomJL/ObmNSiVggUgwABXKA6vv766+5FC//5z3/cltMOHTrYFVdcYTvvvLM99NBDdu2115qeE6dnwuVxcIMigMvDZ7768PEDlQDOl9rp9Ytv0mNZppbwTZnUTm+s+CY9lmVqyYdvYuLL/CYmtagVAsUgQAAXsI6ffvqpW+X25Zdf2iabbGKrrLKKexbc/Pnz3eo4TeDzOrhBEcDl5TUf/fj4gUoA50PpdPvEN+nyLEtr+KYsSqc7TnyTLs+ytObDNzGxZX4Tk1rUCoFiECCAC1TH2bNnu+2n//jHP6xXr17ujaf673vuucdV3L17d7cKTm9IzePgBkUAl4fPfPXh4wcqAZwvtdPrF9+kx7JMLeGbMqmd3ljxTXosy9SSD9/ExJf5TUxqUSsEikGAAC5QHU899VSbNm2a7b///vb73//eunbtas8//7z9/Oc/d1tSL7vsMlthhRXshhtuyGUE3KAI4HIxmqdOfPxAJYDzJHaK3eKbFGGWqCl8UyKxUxwqvkkRZoma8uGbmPAyv4lJLWqFQDEIEMAFquP2229vt9xyi1vpNmPGDPve975n119/ve26666uYj0jrn///vbcc8/lMgJuUARwuRjNUyc+fqASwHkSO8Vu8U2KMEvUFL4pkdgpDhXfpAizRE358E1MeJnfxKQWtUKgGAQI4ALVcauttrL777/f1ltvPVehgrh7773XNt54Y/ff7733nu2xxx728ssv5zICblAEcLkYzVMnPn6gEsB5EjvFbvFNijBL1BS+KZHYKQ4V36QIs0RN+fBNTHiZ38SkFrVCoBgECOAC1fHII4+0jTbayE4//XS35VTbUddZZx1beumlbeHChTZ8+HCbOnWq3XnnnbmMgBsUAVwuRvPUiY8fqARwnsROsVt8kyLMEjWFb0okdopDxTcpwixRUz58ExNe5jcxqUWtECgGAQK4QHV89dVX7eijj7YBAwbYMccc06jKffbZx62Au/XWW23zzTevOgK9uOHiiy+20047zQ499NDF52+xxRbuDasNj7Fjx7rnzTU9uEERwFU1WsQn+PiBSgAXsWH+f+n4Jn4NfYwA3/igHn+f+CZ+DX2MwIdvfIyz3j6Z39RLjusgAIF6CRDA1Usuh+s++eQT0z9rrrlmo96efPJJ+853vmOrr7561SrOO+88mzdvnk2fPt1+9KMfLQ7gtIquW7duNmHCBOvcuXPVdrhBEcBVNUnEJ/j4gUoAF7FhCODiF8/jCPi+8Qg/4q7xTcTieSzdh288Drfmrpnf1IyMCyAAgTYSIIBrI0Bfly9atMjmzJljq666aqslTJo0yTbddFPTltZddtllcQA3d+5c69mzp7300ku23HLLVR0GNygCuKomifgEHz9QCeAiNgwBXPzieRwB3zce4UfcNb6JWDyPpfvwjcfh1tw185uakXEBBCDQRgIEcG0EmNXlH374oV100UX27LPP2lprrWUnn3yy6c2olWPWrFm244472pQpU6xDhw5Vy2gawL3zzjsukNOLHCZOnGgrrLCCHXLIIe6f5g7doFo7Xnvttao1FPUEgpT4lfXxAxXf4Jt6COCbeqiFdQ3fN2HpEUs1+CYWpcKq04dvQiJQbf6iWss8hwlJK2qBQFkIEMAFqvTQoUPtH//4hx1xxBGmsE3PezvnnHNs3333dRW3NYCbOXOmXXPNNdanTx/bdttt7ZVXXrGBAwe6lzvstttuS1Dh/yFq2ShMiAP9ENVQlo8fqPimBoECPRXfBCpM4GXhm8AFCrQ8fBOoMIGX5cM3gSNpVB7zm5jUolYIFIMAAVygOu6www520003ue2jlf93RmHcpZdear17925zANfcsPWiBm1rveyyywjgavAFQUoNsAI91ccPVHwTqBlqKAvf1ACLUxcTwDeYoR4C+KYealzjwzcxUSeAi0ktaoVAMQgQwAWq4zbbbGN33nmnfetb31pc4XPPPWeDBw+2UaNG2WqrrdamLaizZ8+2GTNmWPfu3Re3f8EFF7i3omoVXNODG1TLRiFICfRDVENZPn6g4psaBAr0VHwTqDCBl4VvAhco0PLwTaDCBF6WD98EjqRRecxvYlKLWiFQDAIEcIHqeMIJJ5gm6MOGDXNhW+V48MEH7ZJLLjH9vf6u3mfA6eUMhx12mI0cOdK22mor038fddRRdtVVV7kVdgRwyY1BkJKcVahn+viBim9CdUPyuvBNclac+X8E8A1uqIcAvqmHGtf48E1M1AngYlKLWiFQDAIEcIHq+O6779qxxx5r66+/vt14442NqnziiSfc8+D0HLjWArgFCxZYjx493LVfffWVtWvXzv3Tr18/O/fcc23s2LF28803u3bWWGMNGzBggB1wwAHNEuEG1bJRCFIC/RDVUJaPH6j4pgaBAj0V3wQqTOBl4ZvABQq0PHwTqDCBl+XDN4EjaVQe85uY1KJWCBSDAAFcwDouWrTI/vOf/7hwrOnxySefmLakarWaJvJZH9ygCOCy9pjP9n38QCWA86l4On3jm3Q4lq0VfFM2xdMZL75Jh2PZWvHhm5gYM7+JSS1qhUAxCBDAFUPHzEfBDYoALnOTeezAxw9UAjiPgqfUNb5JCWTJmsE3JRM8peHim5RAlqwZH76JCTHzm5jUolYIFIMAAVwxdMx8FNygCOAyN5nHDnz8QCWA8yh4Sl3jm5RAlqwZfFMywVMaLr5JCWTJmvHhm5gQM7+JSS1qhUAxCBDAFUPHzEfBDYoALnOTeezAxw9UAjiPgqfUNb5JCWTJmsE3JRM8peHim5RAlqwZH76JCTHzm5jUolYIFIMAAVwxdMx8FNygCOAyN5nHDnz8QCWA8yh4Sl3jm5RAlqwZfFMywVMaLr5JCWTJmvHhm5gQM7+JSS1qhUAxCBDABajjbrvtZvfee6+ttNJK9v3vf98ee+wx71VygyKA827CDAvw8QOVAC5DQXNqGt/kBLpg3eCbggma03DwTU6gC9aND9/EhJD5TUxqUSsEikGAAC5AHXv16mVbbrmlbbzxxnbdddfZiSee2GKVxx57LG9B9awhQYpnAVLo3scPVHyTgnCem8A3ngWItHt8E6lwnsvGN54FiLR7H76JCRUBXExqUSsEikGAAC5AHf/617/amDFjbO7cufbCCy/Y5ptv3mKVt99+u7Vv3z7zUXCDahkxQUrm9su8Ax8/UPFN5rJm3gG+yRxxITvAN4WUNfNB4ZvMEReyAx++iQkk85uY1KJWCBSDAAFc4Dr279/f7rzzTu9VcoMigPNuwgwL8PEDlQAuQ0Fzahrf5AS6YN3gm4IJmtNw8E1OoAvWjQ/fxISQ+U1MalErBIpBgAAuEh3nzZtnM2bMcNWus846tvzyy+daOTcoArhcDZdzZz5+oBLA5SxyBt3hmwyglqBJfFMCkTMYIr7JAGoJmvThm5iwMr+JSS1qhUAxCBDABa7jxx9/bKeffro9/vjjtmjRIldtu3btbPfdd7fhw4fnFsRxgyKAC/yj0qbyfPxAJYBrk2RBXIxvgpAhuiLwTXSSBVEwvglChuiK8OGbmCAxv4lJLWqFQDEIEMAFruOZZ55pb731lh1//PHWpUsXV+20adPspptuMt00hg0blssIuEERwOViNE+d+PiBSgDnSewUu8U3KcIsUVP4pkRipzhUfJMizBI15cM3MeFlfhOTWtQKgWIQIIALXEe9EfXee++1zp07N6p01qxZtu+++9rTTz+dywi4QRHA5WI0T534+IFKAOdJ7BS7xTcpwixRU/imRGKnOFR8kyLMEjXlwzcx4WV+E5Na1AqBYhAggAtcx+22284efvhhW2mllRpV+tlnn1nPnj1t8uTJuYyAGxQBXC5G89SJjx+oBHCexE6xW3yTIswSNYVvSiR2ikPFNynCLFFTPnwTE17mNzGpRa0QKAYBArjAdTzhhBOsU6dO7jlwq666qqt2zpw5dtVVV9n06dNt9OjRuYyAGxQBXC5G89SJjx+oBHCexE6xW3yTIswSNYVvSiR2ikPFNynCLFFTPnwTE17mNzGpRa0QKAYBArjAdZw5c6Ydd9xxNnXqVFtllVVctR9++KF7/tuIESNsgw02yGUE3KAI4HIxmqdOfPxAJYDzJHaK3eKbFGGWqCl8UyKxUxwqvkkRZoma8uGbmPAyv4lJLWqFQDEIEMBFoKPefjpp0iR75513/l97ZwJ25bT+/3VMB6FMGTOXMfOYWciYzJTMHPOQyBjJ7MhMUTpkyjydw6FykCTzFIrUMVM4DiLK//qu/2+/5+3tTXs/77Ofe6+1Puu6XMh+nrXW5/56nr2++1738qPVYQxt27Z1WsAX1XhBYcAVpTWLfiy+oGLAWUQ63z7RTb48U7kbukkl0vnOE93kyzOVu1noJiS2rG9CihZjhUAcBDDg4ohj1WfBCwoDruoiM+zA4gsqBpxhwHPqGt3kBDKx26CbxAKe03TRTU4gE7uNhW5CQsz6JqRoMVYIxEEAAy6OOFZ9FrygMOCqLjLDDiy+oGLAGQY8p67RTU4gE7sNukks4DlNF93kBDKx21joJiTErG9CihZjhUAcBDDg4ohj1WfBCwoDruoiM+zA4gsqBpxhwHPqGt3kBDKx26CbxAKe03TRTU4gE7uNhW5CQsz6JqRoMVYIxEEAAy6OOFZ9FrygMOCqLjLDDiy+oGLAGQY8p67RTU4gE7sNukks4DlNF93kBDKx21joJiTErG9CihZjhUAcBDDgAojjpEmT3JVXXulGjRrlT0Cdf/753XrrredOOOEEt/TSSxcyA15QGHCFCM2oE4svqBhwRsHOsVt0kyPMhG6FbhIKdo5TRTc5wkzoVha6CQkv65uQosVYIRAHAQy4AOJ49NFHu80339z/1axZM/fTTz+5F1980d19993u3nvvLWQGvKAw4AoRmlEnFl9QMeCMgp1jt+gmR5gJ3QrdJBTsHKeKbnKEmdCtLHQTEl7WNyFFi7FCIA4CGHA1GsdzzjnHde/e3TVv3tztu+++7uabb3YLLLBA3WinTJniOnXq5P7xj38UMgNeUBhwhQjNqBOLL6gYcEbBzrFbdJMjzIRuhW4SCnaOU0U3OcJM6FYWugkJL+ubkKLFWCEQBwEMuBqNY//+/d2dd97pTj75ZDd16lR3xRVXuDXXXNNvP508ebJ7++233f777+8OP/zwQmbACwoDrhChGXVi8QUVA84o2Dl2i25yhJnQrdBNQsHOcaroJkeYCd3KQjch4WV9E1K0GCsE4iCAAVfDcfz444/deeed50d44oknOtWC+89//uPmm28+17ZtW7fYYosVNnpeUBhwhYnNoCOLL6gYcAaBzrlLdJMz0ERuh24SCXTO00Q3OQNN5HYWugkJLeubkKLFWCEQBwEMuADi+Oijj/pDGDp37uwOPvhgN8cccxQ+al5QGHCFi67ADi2+oGLAFRjgKnWFbqoENvLbopvIA1yl6aGbKoGN/LYWugkJKeubkKLFWCEQBwEMuEDiqMy3yy67zL3zzjvu/PPP99tRi2y8oDDgitRb0X1ZfEHFgCs6yvn3h27yZ5rCHdFNClHOf47oJn+mKdzRQjchcWV9E1K0GCsE4iCAAVejcfz000/djTfe6MaMGeNmn312v+X0qKOOch9++KHfltquXTt30kkn+VNRi2i8oDDgitCZVR8WX1Ax4KyinV+/6CY/lindCd2kFO385opu8mOZ0p0sdBMSX9Y3IUWLsUIgDgIYcDUaR2017dixo2vTpo0/hOH55593b7zxhuvXr5/TCaj6+yOPPOL++c9/utlmm63qs+AFhQFXdZEZdmDxBRUDzjDgOXWNbnICmdht0E1iAc9puugmJ5CJ3cZCNyEhZn0TUrQYKwTiIIABV6NxPPTQQ90tt9xSN7rffvvN7bHHHt50KzVlw62wwgpOC/lqN15QGHDV1pjl/S2+oGLAWUY8n77RTT4cU7sLukkt4vnMF93kwzG1u1joJiTGrG9CihZjhUAcBDDgajSOZ511lvv666+dXgzKgBs1apTbbLPN/LZTi8YLCgPOQndF9WnxBRUDrqjoVq8fdFM9tjHfGd3EHN3qzQ3dVI9tzHe20E1IPFnfhBQtxgqBOAhgwNVoHKdNm+aGDx/uxo4d67eYqgbc+uuvbzZaXlAYcGbiK6Bjiy+oGHAFBLbKXaCbKgOO9PboJtLAVnla6KbKgCO9vYVuQkLJ+iakaDFWCMRBAAMujjhWfRa8oDDgqi4yww4svqBiwBkGPKeu0U1OIBO7DbpJLOA5TRfd5AQysdtY6CYkxKxvQooWY4VAHAQw4OKIY9VnwQsKA67qIjPswOILKgacYcBz6hrd5AQysdugm8QCntN00U1OIBO7jYVuQkLM+iakaDFWCMRBAAMujjhWfRa8oDDgqi4yww4svqBiwBkGPKeu0U1OIBO7DbpJLOA5TRfd5AQysdtY6CYkxKxvQooWY4VAHAQw4OKIY9VnwQsKA67qIjPswOILKgacYcBz6hrd5AQysdugm8QCntN00U1OIBO7jYVuQkLM+iakaDFWCMRBAAMujjhWfRa8oDDgqi4yww4svqBiwBkGPKeu0U1OIBO7DbpJLOA5TRfd5AQysdtY6CYkxKxvQooWY4VAHAQw4OKIY9VnwQsKA67qIjPswOILKgacYcBz6hrd5AQysdugm8QCntN00U1OIBO7jYVuQkLM+iakaDFWCMRBAAMujjhWfRa8oDDgqi4yww4svqBiwBkGPKeu0U1OIBO7DbpJLOA5TRfd5AQysdtY6CYkxKxvQooWY4VAHAQw4OKIY9VnwQsKA67qIjPswOILKgacYcBz6hrd5AQysdugm8QCntN00U1OIBO7jYVuQkLM+iakaDFWCMRBAAMujjhWfRa8oDDgqi4yww4svqBiwBkGPKeu0U1OIBO7DbpJLOA5TRfd5AQysdtY6CYkxKxvQooWY4VAHAQw4OKIY9VnwQsKA67qIjPswOILKgacYcBz6hrd5AQysdugm8QCntN00U1OIBO7jYVuQkLM+iakaDFWCMRBAAMujjhWfRa8oP7YgKt6AOig6gR+//33qvdRvwMMuEJxV6Uzi4UNuqlKKAu9KbopFHc0naGbaEJZ6EQsdFPoBJvYGeubJgLkcghAoGICGHAVI0vzAl5QszDgug1NUxixzLpPe4cBF0swi5uHxcIGA664+FarJ3RTLbJx3xfdxB3fas3OQjfVmks17sv6phpUuScEIPBHBDDg0EdZBHhBYcCVJZRQP4QBF2rkTMdtsbDBgDMNeS6do5tcMCZ3E3STXMhzmbCFbnIZeEE3YX1TEGi6gQAE6ghgwCGGsgjwgsKAK0sooX4IAy7UyJmO22JhgwFnGvJcOkc3uWBM7iboJrmQ5zJhC93kMvCCbsL6piDQdAMBCGDAoYHKCPCCwoCrTDGBfRoDLrCA1cZwLRY2GHC1EfumjALdNIVeuteim3Rj35SZW+imKeMt+lrWN0UTpz8IQIAMODRQFgFeUBhwZQkl1A9hwIUaOdNxWyxsMOBMQ55L5+gmF4zJ3QTdJBfyXCZsoZtcBl7QTVjfFASabiAAgToCGHCIoSwCvKAw4MoSSqgfwoALNXKm47ZY2GDAmYY8l87RTS4Yk7sJukku5LlM2EI3uQy8oJuwvikINN1AAAIYcClpYPDgwe7iiy923bt3dwcccEDd1EePHu169uzpxo0b51q0aOFOOukk17Fjx0bR8ILCgIv6/xkMuKjDW63JWSxsMOCqFc3i7otuimMdU0/oJqZoFjcXC90UN7um98T6pukMuQMEIFAZATLgKuMV3KfPPfdc98MPP7gJEya4Tp061Rlwv/76q9tuu+3cEUcc4fbbbz/31ltvuUMPPdTJrGvduvUM8+QFhQEXnPgrGTAGXCW0+Oz/EbBY2GDAhS8/dBN+DC1mgG4sqIffp4VuQqLG+iakaDFWCMRBAAMujjjOdBZvvvmmW3PNNd3BBx/stt122zoDbuTIke7MM890w4YNq7v2tNNOc0suuaTPhGvYeEFhwEX9vwoGXNThrdbkLBY2GHDVimZx90U3xbGOqSd0E1M0i5uLhW6Km13Te2J903SG3AECEKiMAAZcZbyC/XRDA+6OO+5wTz/9tOvfv3/dnPr16+cz4a677joMuAoirQWx6za0giv4aM0RwICruZCEMCCLhQ0GXAjK+OMxopvwY2gxA3RjQT38Pi10ExI1DLiQosVYIRAHAQy4OOI4y1k0NOBkvL322mvu+uuvr7v21ltvdc8++6wbMGBAowbcH3Xy/vvvz3IMsX4AAy6CyGLARRDE4qdgsbDBgCs+znn3iG7yJprG/dBNGnHOe5YWusl7Dk25nwy2WbWU1zCzYsN/hwAE8ieAAZc/05q8Y0MD7s4773RPPPGEu+222+rGe+2117qxY8e6a665plEDjhdU46HFgKtJyVc2KAy4ynjxaU/AYmGDARe++NBN+DG0mAG6saAefp8WugmJGhlwIUWLsUIgDgIYcHHEcZazaGjAjRo1ytd6Gz58uJttttn89ccff7xr06aN/3vDxgtq5ogx4GYpv9r/AAZc7ceoBkdosbDBgKtBIVQ4JHRTITA+juGPBjITsHjeZB6swYWsbwyg0yUEEieAAZeIABoacL/99pvr0KGD69KlizvwwAPdyy+/7I455hj30EMPuWWWWQYDrgJdYMBVAKtWP4oBV6uRqelxWSxsMOBqWhJlDQ7dlIWJDzUggG6QRBYCFrrJMk6razDgrMjTLwTSJYABF3Hsp06d6tZaay0/QxluynTTX/vss4/r2bOn05bSs88+240ZM8a1bNnS9ejRw5+U2ljjBTVzoWDARfA/EQZcBEEsfgoWCxsMuOLjnHeP6CZvomncD92kEee8Z2mhm7znUM37sb6pJl3uDQEINEYAAw5dlEWAFxQGXFlCCfVDGHChRs503BYLGww405Dn0jm6yQVjcjdBN8mFPJcJW+gml4EXdBPWNwWBphsIQKCOAAaIX6pIAAAgAElEQVQcYiiLAC8oDLiyhBLqhzDgQo2c6bgtFjYYcKYhz6VzdJMLxuRugm6SC3kuE7bQTS4DL+gmrG8KAk03EIAABhwaqIwALygMuMoUE9inMeACC1htDNdiYYMBVxuxb8oo0E1T6KV7LbpJN/ZNmbmFbpoy3qKvZX1TNHH6gwAEyIBDA2UR4AWFAVeWUEL9EAZcqJEzHbfFwgYDzjTkuXSObnLBmNxN0E1yIc9lwha6yWXgBd2E9U1BoOkGAhCoI4ABhxjKIsALCgOuLKGE+iEMuFAjZzpui4UNBpxpyHPpHN3kgjG5m6Cb5EKey4QtdJPLwAu6CeubgkDTDQQggAGHBiojwAsKA64yxQT2aQy4wAJWG8O1WNhgwNVG7JsyCnTTFHrpXotu0o19U2ZuoZumjLfoa1nfFE2c/iAAATLg0EBZBHhBYcCVJZRQP4QBF2rkTMdtsbDBgDMNeS6do5tcMCZ3E3STXMhzmbCFbnIZeEE3YX1TEGi6gQAE6ghgwCGGsgjwgsKAK0sooX4IAy7UyJmO22JhgwFnGvJcOkc3uWBM7iboJrmQ5zJhC93kMvCCbsL6piDQdAMBCGDAoYHKCPCCwoCrTDGBfRoDLrCA1cZwLRY2GHC1EfumjALdNIVeuteim3Rj35SZW+imKeMt+lrWN0UTpz8IQIAMODRQFgFeUBhwZQkl1A9hwIUaOdNxWyxsMOBMQ55L5+gmF4zJ3QTdJBfyXCZsoZtcBl7QTVjfFASabiAAgToCGHCIoSwCvKAw4MoSSqgfwoALNXKm47ZY2GDAmYY8l87RTS4Yk7sJukku5LlM2EI3uQy8oJuwvikINN1AAAIYcGigMgK8oDDgKlNMYJ/GgAssYLUxXIuFDQZcbcS+KaNAN02hl+616Cbd2Ddl5ha6acp4i76W9U3RxOkPAhAgAw4NlEWAFxQGXFlCCfVDGHChRs503BYLGww405Dn0jm6yQVjcjdBN8mFPJcJW+gml4EXdBPWNwWBphsIQKCOAAYcYiiLAC8oDLiyhBLqhzDgQo2c6bgtFjYYcKYhz6VzdJMLxuRugm6SC3kuE7bQTS4DL+gmrG8KAk03EIAABhwaqIwALygMuMoUE9inMeACC1htDNdiYYMBVxuxb8oo0E1T6KV7LbpJN/ZNmbmFbpoy3qKvZX1TNHH6gwAEyIBDA2UR4AWFAVeWUEL9EAZcqJEzHbfFwgYDzjTkuXSObnLBmNxN0E1yIc9lwha6yWXgBd2E9U1BoOkGAhCoI4ABhxjKIsALCgOuLKGE+iEMuFAjZzpui4UNBpxpyHPpHN3kgjG5m6Cb5EKey4QtdJPLwAu6CeubgkDTDQQggAGHBiojwAsKA64yxQT2aQy4wAJWG8O1WNhgwNVG7JsyCnTTFHrpXotu0o19U2ZuoZumjLfoa1nfFE2c/iAAATLg0EBZBHhBYcCVJZRQP4QBF2rkTMdtsbDBgDMNeS6do5tcMCZ3E3STXMhzmbCFbnIZeEE3YX1TEGi6gQAE6ghgwCGGsgjwgsKAK0sooX4IAy7UyJmO22JhgwFnGvJcOkc3uWBM7iboJrmQ5zJhC93kMvCCbsL6piDQdAMBCGDAoYHKCPCCwoCrTDGBfRoDLrCA1cZwLRY2GHC1EfumjALdNIVeuteim3Rj35SZW+imKeMt+lrWN0UTpz8IQIAMODRQFgFeUBhwZQkl1A9hwIUaOdNxWyxsMOBMQ55L5+gmF4zJ3QTdJBfyXCZsoZtcBl7QTVjfFASabiAAgToCGHCIoSwCvKAw4MoSSqgfwoALNXKm47ZY2GDAmYY8l87RTS4Yk7sJukku5LlM2EI3uQy8oJuwvikINN1AAAIYcGigMgK8oDDgKlNMYJ/GgAssYLUxXIuFDQZcbcS+KaNAN02hl+616Cbd2Ddl5ha6acp4i76W9U3RxOkPAhAgAw4NlEWAFxQGXFlCCfVDRgZcqLgY9/8I/P7774XiwIArFHdVOrNYEEs3tPAJWDxvwqfGDIrWTUjEWd+EFC3GCoE4CGDAxRHHqs+CFxQGXNVFZtmBlQHXbajlrOm7qQSMdPP+nks0deRcb0jAzIDjeWMY9Ry6NnreOHSTQ/AMb2GgG8PZVtw165uKkXEBBCDQRAIYcE0EmMrlvKAw4KLWusEXVJ+RwsImbFkZ6QYDLmzZYMCFHT+z0Rs9b3hPmUU8n44NdJPPwIu5C+ubYjjTCwQg8D8CGHCooSwCvKAw4MoSSqgfMviCigEXqljqjdtINxhwYWsHAy7s+JmN3uh5gwFnFvF8OjbQTT4DL+YurG+K4UwvEIAABhwaqJAALygMuAolE9bHDb6gYsCFJZFGR2ukGwy4sLWDARd2/MxGb/S8wYAzi3g+HRvoJp+BF3MX1jfFcKYXCEAAAw4NVEiAFxQGXIWSCevjBl9QMeDCkggGXATxqpEpYMDVSCBCGwbvqdAiVhvjNdBNbUy8vFGwvimPE5+CAATyI8AW1PxYRn0nXlAYcFEL3OALKgZcBIoy0g0ZcGFrBwMu7PiZjd7oeUMGnFnE8+nYQDf5DLyYu7C+KYYzvUAAAv8jgAGHGsoiwAsKA64soYT6IYMvqBhwoYql3riNdIMBF7Z2MODCjp/Z6I2eNxhwZhHPp2MD3eQz8GLuwvqmGM70AgEIYMChgQoJ8ILCgKtQMmF93OALKgZcWBJpdLRGusGAC1s7GHBhx89s9EbPGww4s4jn07GBbvIZeDF3YX1TDGd6gQAEMODQQIUEeEFhwFUombA+bvAFFQMuLIlgwEUQrxqZAgZcjQQitGHwngotYrUxXgPd1MbEyxsF65vyOPEpCEAgPwJsQc2PZdR34gWFARe1wA2+oGLARaAoI92QARe2djDgwo6f2eiNnjdkwJlFPJ+ODXSTz8CLuQvrm2I40wsEIPA/AhhwqKEsArygMODKEkqoHzL4gooBF6pY6o3bSDcYcGFrBwMu7PiZjd7oeYMBZxbxfDo20E0+Ay/mLqxviuFMLxCAAAYcGqiQAC8oDLgKJRPWxw2+oGLAhSWRRkdrpBsMuLC1gwEXdvzMRm/0vMGAM4t4Ph0b6CafgRdzF9Y3xXCmFwhAAAMODVRIgBcUBlyFkgnr4wZfUDHgwpIIBlwE8aqRKWDA1UggQhsG76nQIlYb4zXQTW1MvLxRsL4pjxOfggAE8iPAFtT8WEZ9J15QGHBRC9zgCyoGXASKMtINGXBhawcDLuz4mY3e6HlDBpxZxPPp2EA3+Qy8mLuwvimGM71AAAL/I4ABhxrKIsALCgOuLKGE+iGDL6gYcKGKpd64jXSDARe2djDgwo6f2eiNnjcYcGYRz6djA93kM/Bi7sL6phjO9AIBCGDAoYEKCfCCwoCrUDJhfdzgCyoGXFgSaXS0RrrBgAtbOxhwYcfPbPRGzxsMOLOI59OxgW7yGXgxd2F9UwxneoEABDDg0ECFBHhBYcBVKJmwPm7wBRUDLiyJYMBFEK8amQIGXI0EIrRh8J4KLWK1MV4D3dTGxMsbBeub8jjxKQhAID8CbEHNj2XUd+IFhQEXtcANvqBiwEWgKCPdkAEXtnYw4MKOn9nojZ43ZMCZRTyfjg10k8/Ai7kL65tiONMLBCDwPwIYcKihLAK8oDDgyhJKqB8y+IKKAReqWOqN20g3GHBhawcDLuz4mY3e6HmDAWcW8Xw6NtBNPgMv5i6sb4rhTC8QgAAGHBqokAAvKAy4CiUT1scNvqBiwIUlkUZHa6QbDLiwtYMBF3b8zEZv9LzBgDOLeD4dG+gmn4EXcxfWN8VwphcIQAADDg1USIAXFAZchZIJ6+MGX1Ax4MKSCAZcBPGqkSlgwNVIIEIbBu+p0CJWG+M10E1tTLy8UbC+KY8Tn4IABPIjwBbU/FhGfSdeUBhwUQvc4AsqBlwEijLSDRlwYWsHAy7s+JmN3uh5QwacWcTz6dhAN/kMvJi7sL4phjO9QAAC/yOAAYcayiLACwoDriyhhPohgy+oGHChiqXeuI10gwEXtnYw4MKOn9nojZ43GHBmEc+nYwPd5DPwYu7C+qYYzvQCAQhgwKGBCgnwgsKAq1AyYX3c4AsqBlxYEml0tEa6wYALWzsYcGHHz2z0Rs8bDDiziOfTsYFu8hl4MXdhfVMMZ3qBAAQw4NBAhQR4QWHAVSiZsD5u8AUVAy4siWDARRCvGpkCBlyNBCK0YfCeCi1itTFeA93UxsTLGwXrm/I48SkIQCA/AmxBzY9l1HfiBYUBF7XADb6gYsBFoCgj3ZABF7Z2MODCjp/Z6I2eN2TAmUU8n44NdJPPwIu5C+ubYjjTCwQg8D8CGHAJq2GttdZyU6dOnY7Ao48+6pZffvkZqPCCwoCL+n8Vgy+oGHARKMpINxhwYWsHAy7s+JmN3uh5gwFnFvF8OjbQTT4DL+YurG+K4UwvEIAABlzyGvj111/dGmus4UaMGOEWXnjhWfLgBYUBN0uRhPwBgy+oGHAhC+b/xm6kGwy4sLWDARd2/MxGb/S8wYAzi3g+HRvoJp+BF3MX1jfFcKYXCEAAAy55DXzzzTduk002cW+99Zaba665ZsmDFxQG3CxFEvIHDL6gYsCFLBgMuAiiZzYFDDgz9GF3zHsq7PhZjd5AN1ZTzdIv65ss1LgGAhBoCgG2oDaFXsDXfvTRR27nnXd2HTp0cC+//LKbf/75XdeuXd3+++/f6Kz0gvqj9v777wdMo2lDx0hpGr+auNrgCyq6qYnIN20QRrohA65pYbO+GgPOOgKB9m/0vCEDLlC9lIZtoJtaIjar9YvGmvIappZixVggkAoBDLhUIt1gnp9++qm79tprXadOndyGG27oM+EOO+wwd+mll7r27dvPQIVfiGYuFIyUCP4nMviCim7QTRYC0g0GXBZytXMNBlztxCKokfCeCipcNTNYA93UzNzLGAjrmzIg8REIQCBXAhhwueIM+2a9e/d2kydPdhdddBEGXAWhxEipAFatftTgCyq6qVUxVDAuI91gwFUQoxr8KAZcDQYlhCEZPW/IgAtBHH8wRgPdhEQMAy6kaDFWCMRBAAMujjhWPIuJEye6L774wh/EUGo9e/Z0MgV69eqFAVcBUYyUCmDV6kcNvqCim1oVQwXjMtINBlwFMarBj2LA1WBQQhiS0fMGAy4EcWDAZY0SBlxWclwHAQhkJYABl5Vc4Ne99tpr7tBDD3UDBgxw6667rnv99df9v2tb6qabbooBV0F8MVIqgFWrH2VhU6uRqe1xGekGA662ZTGr0WHAzYoQ/71RAkbPGwy4wPVooJuQiGHAhRQtxgqBOAhgwMURx0yzeOCBB1y/fv2csuFatmzpjjjiCLfHHns0ei9eUDNHjAGXSX61dZHBF1R0U1sSyDQaI91gwGWKVs1chAFXM6EIayBGzxsMuLBkMsNoDXQTEjHWNyFFi7FCIA4CGHBxxLHqs+AFhQFXdZFZdmDwBRUDzjLgOfVtpBsMuJziZ3QbDDgj8KF3a/S8wYALXDgGugmJGOubkKLFWCEQBwEMuDjiWPVZ8ILCgKu6yCw7MPiCigFnGfCc+jbSDQZcTvEzug0GnBH40Ls1et5gwAUuHAPdhESM9U1I0WKsEIiDAAZcHHGs+ix4QWHAVV1klh0YfEHFgLMMeE59G+kGAy6n+BndBgPOCHzo3Ro9bzDgAheOgW5CIsb6JqRoMVYIxEEAAy6OOFZ9FrygMOCqLjLLDgy+oGLAWQY8p76NdIMBl1P8jG6DAWcEPvRujZ43GHCBC8dANyERY30TUrQYKwTiIIABF0ccqz4LXlAYcFUXmWUHBl9QMeAsA55T31a6yWn43MaOwO+//15o5zxvCsVdnc6snjfdhlZnPty1GAIGuilmYvn0wvomH47cBQIQKJ8ABlz5rJL+JC8oDLio/wcw+ILKgjgCRaGbCIJoMAV0YwA9gi7RTQRBNJiCgW4MZpm5S9Y3mdFxIQQgkJEABlxGcKldxgsKAy5qzRt8QcWAi0BR6CaCIBpMAd0YQI+gS3QTQRANpmCgG4NZZu6S9U1mdFwIAQhkJIABlxFcapfxgsKAi1rzBl9QMeAiUBS6iSCIBlNANwbQI+gS3UQQRIMpGOjGYJaZu2R9kxkdF0IAAhkJYMBlBJfaZbygMOCi1rzBF1QMuAgUhW4iCKLBFNCNAfQIukQ3EQTRYAoGujGYZeYuWd9kRseFEIBARgIYcBnBpXYZLygMuKg1b/AFFQMuAkWhmwiCaDAFdGMAPYIu0U0EQTSYgoFuDGaZuUvWN5nRcSEEIJCRAAZcRnCpXcYLCgMuas0bfEHFgItAUegmgiAaTAHdGECPoEt0E0EQDaZgoBuDWWbukvVNZnRcCAEIZCSAAZcRXGqX8YLCgIta8wZfUDHgIlAUuokgiAZTQDcG0CPoEt1EEESDKRjoxmCWmbtkfZMZHRdCAAIZCWDAZQSX2mW8oDDgota8wRdUDLgIFIVuIgiiwRTQjQH0CLpENxEE0WAKBroxmGXmLlnfZEbHhRCAQEYCGHAZwaV2GS8oDLioNW/wBRUDLgJFoZsIgmgwBXRjAD2CLtFNBEE0mIKBbgxmmblL1jeZ0XEhBCCQkQAGXEZwqV3GCwoDLmrNG3xBxYCLQFHoJoIgGkwB3RhAj6BLdBNBEA2mYKAbg1lm7pL1TWZ0XAgBCGQkgAGXEVxql/GCwoCLWvMGX1Ax4CJQFLqJIIgGU0A3BtAj6BLdRBBEgykY6MZglpm7ZH2TGR0XQgACGQlgwGUEl9plvKAw4KLWvMEXVAy4CBSFbiIIosEU0I0B9Ai6RDcRBNFgCga6MZhl5i5Z32RGx4UQgEBGAhhwGcGldhkvKAy4qDVv8AUVAy4CRaGbCIJoMAV0YwA9gi7RTQRBNJiCgW4MZpm5S9Y3mdFxIQQgkJEABlxGcKldxgsKAy5qzRt8QcWAi0BR6CaCIBpMAd0YQI+gS3QTQRANpmCgG4NZZu6S9U1mdFwIAQhkJIABlxFcapfxgsKAi1rzBl9QMeAiUBS6iSCIBlNANwbQI+gS3UQQRIMpGOjGYJaZu2R9kxkdF0IAAhkJYMBlBJfaZbygMOCi1rzBF1QMuAgUhW4iCKLBFNCNAfQIukQ3EQTRYAoGujGYZeYuWd9kRseFEIBARgIYcBnBpXYZLygMuKg1b/AFFQMuAkWhmwiCaDAFdGMAPYIu0U0EQTSYgoFuDGaZuUvWN5nRcSEEIJCRAAZcRnCpXcYLCgMuas0bfEHFgItAUegmgiAaTAHdGECPoEt0E0EQDaZgoBuDWWbukvVNZnRcCAEIZCSAAZcRXGqX8YLCgIta8wZfUDHgIlAUuokgiAZTQDcG0CPoEt1EEESDKRjoxmCWmbtkfZMZHRdCAAIZCWDAZQSX2mW8oDDgota8wRdUDLgIFIVuIgiiwRTQjQH0CLpENxEE0WAKBroxmGXmLlnfZEbHhRCAQEYCGHAZwaV2GS8oDLioNW/wBRUDLgJFoZsIgmgwBXRjAD2CLtFNBEE0mIKBbgxmmblL1jeZ0XEhBCCQkQAGXEZwqV3GCwoDLmrNG3xBxYCLQFHoJoIgGkwB3RhAj6BLdBNBEA2mYKAbg1lm7pL1TWZ0XAgBCGQkgAGXEVxql/GCwoCLWvMGX1Ax4CJQFLqJIIgGU0A3BtAj6BLdRBBEgykY6MZglpm7ZH2TGR0XQgACGQlgwGUEl9plvKAw4KLWvMEXVAy4CBSFbiIIosEU0I0B9Ai6RDcRBNFgCga6MZhl5i5Z32RGx4UQgEBGAhhwGcGldhkvKAy4qDVv8AUVAy4CRaGbCIJoMAV0YwA9gi7RTQRBNJiCgW4MZpm5S9Y3mdFxIQQgkJEABlxGcKldxgsKAy5qzRt8QcWAi0BR6CaCIBpMAd0YQI+gS3QTQRANpmCgG4NZZu6S9U1mdFwIAQhkJIABlxFcapfxgsKAi1rzBl9QMeAiUBS6iSCIBlNANwbQI+gS3UQQRIMpGOjGYJaZu2R9kxkdF0IAAhkJYMBlBJfaZbygMOCi1rzBF1QMuAgUhW4iCKLBFNCNAfQIukQ3EQTRYAoGujGYZeYuWd9kRseFEIBARgIYcBnBpXYZLygMuKg1b/AFFQMuAkWhmwiCaDAFdGMAPYIu0U0EQTSYgoFuDGaZuUvWN5nRcSEEIJCRAAZcRnCpXcYLCgMuas0bfEHFgItAUegmgiAaTAHdGECPoEt0E0EQDaZgoBuDWWbukvVNZnRcCAEIZCSAAZcRXGqX8YLCgIta8wZfUDHgIlAUuokgiAZTQDcG0CPoEt1EEESDKRjoxmCWmbtkfZMZHRdCAAIZCWDAZQSX2mW8oDDgota8wRdUDLgIFIVuIgiiwRTQjQH0CLpENxEE0WAKBroxmGXmLlnfZEbHhRCAQEYCGHAZwaV2GS8oDLioNW/wBRUDLgJFoZsIgmgwBXRjAD2CLtFNBEE0mIKBbgxmmblL1jeZ0XEhBCCQkQAGXEZwqV3GCwoDLmrNG3xBxYCLQFHoJoIgGkwB3RhAj6BLdBNBEA2mYKAbg1lm7pL1TWZ0XAgBCGQkgAGXEVxql/GCwoCLWvMGX1Ax4CJQFLqJIIgGU0A3BtAj6BLdRBBEgykY6MZglpm7ZH2TGR0XQgACGQlgwGUEl9plvKAw4KLWvMEXVAy4CBSFbiIIosEU0I0B9Ai6RDcRBNFgCga6MZhl5i5Z32RGx4UQgEBGAhhwGcGldhkvKAy4qDVv8AUVAy4CRaGbCIJoMAV0YwA9gi7RTQRBNJiCgW4MZpm5S9Y3mdFxIQQgkJEABlxGcKldxgsKAy5qzRt8QcWAi0BR6CaCIBpMAd0YQI+gS3QTQRANpmCgG4NZZu6S9U1mdFwIAQhkJIABlxFcapfxgsKAi1rzBl9QMeAiUBS6iSCIBlNANwbQI+gS3UQQRIMpGOjGYJaZu2R9kxkdF0IAAhkJYMBlBJfaZbygMOCi1rzBF1QMuAgUhW4iCKLBFNCNAfQIukQ3EQTRYAoGujGYZeYuWd9kRseFEIBARgIYcBnBpXYZLygMuKg1b/AFFQMuAkWhmwiCaDAFdGMAPYIu0U0EQTSYgoFuDGaZuUvWN5nRcSEEIJCRAAZcRnCpXcYLKl0Drs1jR7sxu9wYt+QNvqDGbsChm+r8LxO7bkQteu3wvKnK/xzoJn+sPG/yZ1r4HQ2eN4XPsQkdsr5pAjwuhQAEMhHAgMuELb2LeEFhwEWteoMvqLEvbKJfDOt/CHRTlcdC9NpBN+gmCwF0k4XaLK/heTNLRFF/gPVN1OFlchCoSQIYcDUZltobFC8oDLjaU2WOI2JhkyPM/3+r6Bc1GHC5a6Z0w+i1w/OmKtpBN/ljjf2HoiTeVQbPm/yVWL07sr6pHlvuDAEINE4AAw5llEWAFxQGXFlCCfVDBl9QY1/YRL8YxoCr2v/t0WuH501VtINu8sca+3sKAy5/zYR2R9Y3oUWM8UIgfAIYcOHHMPMM3n77bXfuuee6jz76yC244IKuW7dubuedd270frygMOAyCy2EC1kQ5x6l6BfDGHC5a6Z0w+i1w/OmKtpBN/ljxYDLn2nhdzR43hQ+xyZ0yPqmCfC4FAIQyEQAAy4TtvAvmjJlimvfvr079thj3T777ONef/11d/jhh7t7773XrbjiijNMkBcUBlz4qv+DGRh8QY19YRP9YhgDrmqPhOi1w/OmKtpBN/ljjf09JWLoJn/dhHRH1jchRYuxQiAOAhhwccSx4lk8//zzPvttyJAhddeecsopbrnllnPHH388BlwFRGP/ghr9l1OMlArUXv5H0U35rCr5ZOzPGxbElaih/M+im/JZ1ewnMW6rEpro31UGuqlKoKp0Uwy4KoHlthCAwEwJYMAlKo7bbrvNyYTr169fHYHrr7/ejR071l111VWNGnCJomLaEIAABCAAAQhAAAIQgECEBN5///0IZ8WUIACBWiWAAVerkanyuGS8vfPOO+6aa66p6+mWW25xI0eOdDfddFOVe+f2EIAABCAAAQhAAAIQgAAEIAABCEAgHQIYcOnEerqZDho0yA0bNswNHDiw7s+V+TZhwgR35ZVXJkqFaUMAAhCAAAQgAAEIQAACEIAABCAAgfwJYMDlzzSIO44YMcL16NHDPfvss87XhnHOHXPMMa5t27bu6KOPDmIODBICEIAABCAAAQhAAAIQgAAEIAABCIRAAAMuhChVYYy//vqr23777d1BBx3kDjjgADdq1Ch33HHHuUceecQtvfTSVeiRW0IAAhCAAAQgAAEIQAACEIAABCAAgTQJYMClGXc/6/fee8+dffbZ/uCFxRZbzJ1++ulum222SZgIU4cABCAAAQhAAAIQgAAEIAABCEAAAvkTwIDLnyl3hAAEIAABCEAAAhCAAAQgAAEIQAACEIBAHQEMOMQAAQj8IYHff//dvfnmm26ttdaCFAQgAAEIQAACEIAABCAAAQhAAAIZCGDAZYDGJRBIiUDPnj3dp59+6vr16+fmmGOOlKbOXCEAAQhAAAIQgAAEIAABCEAAArkQwIDLBSM3gUC8BHbeeWd3xBFHuE6dOsU7SWYGAQiYE3jxxRfdW2+95dZee223/vrrm4+HAdQ+gSlTprhhw4b5H4m22247t8wyy9T+oBmhOQF0Yx4CBgABCEAgWQIYcMmGnolDoDwCAwYMcA8//LA/Nbd169auQ4cO5V3IpyAAAQiUQeDll192F198sdN2d53CPWTIEJ9xu/nmm5dxNR9JkYC08sADD7hrrrnGv5cmT57sPvzwQ3+Se8uWLVNEwpzLIIBuyoDERyAAAQhAoKoEMOCqipebQyB8Ao899pg75ZRTXPv27d1VV13l5pprrvAnxQyqTuDf//63Gz16tGvbtq1baqmlqt4fHYRH4Ntvv3Xnn3++e/fdd/0p3FtttZWfRO/evZ3+W58+fcKbFCOuOsbhpk0AACAASURBVAGd4H7WWWe55s2buzPOOMMbcNOmTXO7776769y5s9t3332rPgY6CI8AugkvZowYAhCAQIwEMOBijCpzgkCOBIYPH+4+/vhjd/XVV7snn3zSLbDAAjnenVvFRkAL4QsvvNApq6lVq1buueeec7169WILc2yBzmE+P//8s9thhx3c3nvv7Y499ti6O/bt29f9+uuv7vjjj8+hF24RGwEZKTLbBg0aNN1W5UMOOcQdddRRbqONNoptyswnBwLoJgeI3AICEIAABJpMAAOuyQi5AQTiIzB+/Hj36quvujZt2rg11ljDT/DAAw90K6+8ss88oEFgZgTuuusuN3ToUL+FcPbZZ3dPPfWUO/HEE93999/vVl11VcAlTOCnn35y884773QE/v73v/tnyj//+U+/dfDBBx/0WXHKmtR2MRlzqkNJS5dAY7o599xz3RtvvOG3of7yyy/+ByI9e5ZYYgm30EILuXPOOYfnTbqS8TNHN4kLgOlDAAIQqFECGHA1GhiGBQELAlOnTvXZS6+88orf1vPEE0+4E044wR155JFOvx4rU+Whhx5yK664osXw6LMGCaj2kgzb5Zdf3s0999zu5JNPdqussor7y1/+4vVz5ZVX+uLoRx99tGvWrFkNzoAhFUFAWtA2U5mxylSq37RtcJ555nH//e9//RZ3aWi99dZzMudOO+00b6ysueaaRQyTPmqMwCWXXOJNtmuvvXa6zLZvvvnG1yNVbdIRI0a4du3a+ey3xRdf3F122WXu8ccf96Yuz5waC2hBw0E3BYGmGwhAAAIQqJgABlzFyLgAAvESGDhwoHvhhRfcjTfe6LOXnn/+eXf44Ye7O+64w6277rquZ8+e7rPPPnP9+/ePFwIzK5vA3/72N3f77be7BRdc0C233HLu8ssvd1dccYVfECvTSduVZbpoK6qymvTP1BAsG29UH5SJ8uijj7ovvvjCbbDBBv5ZMsccc/g5qlbgHnvs4bPdGm47PeaYY9xiiy3mlPFES49Ajx493J/+9Cf39NNPu+7du/sfgUrt1ltvdRdddJG77bbbpjPntH1ZB3hIMzvuuGN60JixQzeIAAIQgAAEapUABlytRoZxQcCAgBbAa6+9tjviiCPqeleR64kTJ7qbb77ZKetAGQc6eU4ZB7R0CWjRK6NNhfJltmm7oBbKqheoRa8y4Epmyrhx41yXLl28oTvbbLOlCy3hmb/99tvu1FNP9dlsMtVkxOo5UqopefbZZ/vDGO677z6vo1LT9lRlVmpLIS09ArfccoubMGGC23///f17adddd/VGnJ4jv/32m//3Lbfc0pv79ZuybqU3va9o6RFAN+nFnBlDAAIQCIUABlwokWKcECiAgDKYXn/9dZ/xVmqvvfaaO/jgg329HTUtkrU9tZS9UsCw6KJGCMhkU10dbeuSuaYTTrV9UBrRtuUpU6Z4o23YsGG+JpM+I/NEmXJaNOskXVqaBFSnS1m0o0aNcnPOOafPUNG2dtUKXGaZZdykSZP8VmUZccqGU9OhL8qUu/fee30WJS09AjLttY1dxqyyJ2XCSS96V8n41yEv2nqq07q1DV5lFHRa9zPPPOO3rvKeSk8zmjG6STPuzBoCEIBACAQw4EKIEmOEQE4EZJC8+OKLPsNkk0028dtM67dS9lKpbpf+m06zPPPMM/1imJY2AWUsffjhh95ck45U102akhGnbYWffPKJz1bRgQtDhgzxNeAWXnhhn72iLaq0OAnImJUmdFiCzPmZNZ14esEFF/iTK1U7cK+99vLZtddff73/swEDBjhtg5cpp5pf0pMyLHUYDC1NAl9//bXbeuut/Q9DMtP0/JFBK7NNOtH2ZNUo1TtNBwVdfPHFbtlll/VbU5s3b54mNGbt0A0igAAEIACBWiWAAVerkWFcEMiZgLaAqaC5DlD44IMP3Hzzzee0TWP++eefridlK2kxfcopp/gMg759+/paOptuumnOI+J2IRAobS3VWL/88ktf+Fw1AGWYTJs2zW89LRm5qg+oxfHIkSNDmBpjbCIBxV+ZjzJfdVjL999/77MdZ9b0GR2uINNEGUy6Tqcs//Wvf3XnnXeeN/B22WUX9+233/rsSRm3ZDA1MUg1fLniLKNV2ZB//vOfZzrSjTfe2Jtteq5o63vXrl19NpxOW9b7SRm50o2yJPVjkeq/0eIlgG7ijS0zgwAEIJACAQy4FKLMHJMnoFo522yzjd/KowWwilRrcbvkkkv6OkwNm06P0wmELVu29FkF2vJDS4+AtgtKM9qSXKrdpmylp556ym/v0p8p422JJZZwY8aMcb169XL77ruvz2yixU3gpZde8icm6wAO1YeUOasMN2WsaStpY+26667zn11ttdW8UaLMSTVtI9TpqPozGXI6ybJFixZxA0x4diXjVvGXZvbZZx9fF3BmTe+gN99809dz01Z2vZfUdFiQjLnBgwf7E3RVvxTDNl5hoZt4Y8vMIAABCKREAAMupWgz1yQJKEPpo48+ch07dnTKgtPWDJ1U+f777/sFr7JQaBBojIC2CSrjTYvj/fbbz39Etby0aNb2Uy2clSmpTBQZJzJR0FPcWvr000999ppqQuqAlvpF7lV7SyedPv74442edivjVs8ebU1u2D7//HOfGcchHXHrp6Fxqx97dNCG/q74N9a0bVnPnd69e8/wn7VNeemll44bGrNz6AYRQAACEIBALAQw4GKJJPOAQAMCMt5UnFr1c7Q9R9t4dt99d/fCCy/4mjnKUlIdL51sqq1ftHQI6CAFFalWppIWsA899JA77rjjGgUgQ0WZTqoBWDqxUlkn2mqoP2u4hTkdimnNVGbsTTfd5E8xVUasDJEHH3xwOsNMupJhe8ABB/hTcBs2ZUvutNNO/tAOnYJKS4fAHxm3OshF2djaitxYu+eee9zDDz883eFA6ZBLe6boJu34M3sIQAACMRLAgIsxqswpeQIyR7TY/fe//+1r5OjUQZ0uKMNEmQbaNqbWrVs3fzKhFsy0dAiMHz/ederUyR+WIDNFJu2pp57qvvrqK3/KYMOm7DdtF1OmippqB+rUwXbt2vktYbT4CWiruhbDirdq/inzTZrRluP67ZFHHvE1I/WcKW0VLP13mf3S2u233163/TR+cmnPsBzjdvTo0W7PPfd0d955p1tnnXVmAKZsy0MOOcTXG9RhC7T4CaCb+GPMDCEAAQikSgADLtXIM++oCKjGm+p1KatExfFLJ8XJTCllNn333Xdu7733diussII3X4YPH+6zn1STiWyUqORQ1mSUxaYtydrepRpLMmtV6031uRo2LZBltJxzzjm+4Lk+p+2Gc889d11WXFmd8qGgCGgRPM888zQ6Zpn8Mve1rbRhFqS0opMoL7vsMn+tDn3R6ZTSjjSj7DgdBkOLk4AyIXWAj1q5xq1+IHr33XfdfffdN53Jpnql//nPf9zpp5/uVENQ+qHFSQDdxBlXZgUBCEAAAtMTwIBDERAInICKU2txstRSS/mtXTLZdKqcFr/aZqitO6WmDJQBAwb4E+SUvSQjrnSCZeAYGH6FBGTaqnbbFlts4WtyaZupTJKZFdBXZtMNN9zgDTqdpqtC+bR4CahupIxZ1fSTLhqeUin97Lrrrm7LLbf0z5/6Tc8kmXAy6J599llfE051BHXwC8+beDWjmelZIj2oHqSy1hq2mRm3kyZN8s8eZdkqG07tmWeecZdcconr0qULWdpxywbdRB5fpgcBCEAAAv8jgAGHGiAQMAFlqGjRoiy2VVdd1WcQyIDTVh5lummbmA5aUA04GgT+iIAWxtoa+I9//IOMSKTis2NlmOlkSW1Nlvm68MILT0dG5poO49B25OWXX366/6YfAVQ/UPc44YQTXPPmzaGaAAGdjqy460cembc9e/ac7mTSPzJu9eOQtrdLa9dee6377LPP/Ptrs802S4Bc2lNEN2nHn9lDAAIQSIkABlxK0Wau0RDQlkBlqKy++up+O5fqLX3//fe+iLUWxTpNbvDgwe7ee+/123aUlTCzrWTRQGEisySgwvnKiNSWLhkj8803X9012uqlk3L32GOPRuvAzfLmfCAqAjrEZb311vPPDh2+MGzYMKdty61bt55untrmrrpc+kz9NnHiRK8ztppGJYtZTkbb2lUbUId1KOtR5Q20DbV0gItuMDPjVs8g/Vj07bffuuOPP94/o+aYY45Z9skHwieAbsKPITOAAAQgAIHyCGDAlceJT0Ggpggo40Qnw916661OGQXjxo1zZ5xxhj/1VFkHOvG0d+/efnuYMlRU+FwLGlq6BGS+de3a1a200kruvffe8+abst5mm222Oija8nXyySd7XSkDascdd0wXWEIz/+GHH5y2jWpbev2mwzf0/NBzZODAge766693V1xxhf/3UtOzR1tRb7zxRr+dmZYOAdWNVN2uVVZZpW7Ses7oYB/VJNXhP8qE1PNG5q0OfCm1mRm3+qy2t7do0SIdkInNFN0kFnCmCwEIQAAC0xHAgEMQEAiAwJQpU/w20x122MFnlOhAha222qru4AVlLp1yyil+YaztYqqjM3LkSL8wVh0nLYTIRAkg0FUaog7iWGKJJfw2ZWW4/fe//3U77bSTN2X32Wef6XqVdpQld+yxx3rzhRY/gc6dOztl1SqTVtmzpabtg/p3aUFN2wEffPBB/3eZuaWmGnEy8JT1REuDgMof6MceZUTqNOX6Rr7eUzrcRQcC6XN77bWXU0akDFz9mRrGbRo6aThLdJNm3Jk1BCAAAQj8jwAGHGqAQAAElGWgOjhLLrmkr4+jTAIZJzLdNtpoI7f55pt7M2Xbbbf1GUwyUbQw0tYwWnoEdNjGiBEj/OmU0oYOUFAmiursaNuy2kMPPeQuvfRSf4pl/a2o+m/KqmTrVzq6kaH26quvujXWWMNvYy811QR84YUX/FZCHdKhpm2BKozfoUMH/5zRoQrKoJs6dSp13tKRjJ+pNKC4H3nkkdMZ+ar5p+3LMm8vv/xyb9SVtHXeeef5w3/UMG4TE8z/TRfdpBl3Zg0BCEAAAv+fAAYcSoBAjRJ46623fNaAto+qKZNNCxcVqlY2nMwULX502pwMlrPPPttv29FWVLYO1mhQcxyWTA8tYBXv+gaaslF0+uQ666zjTTgtfFXQXFlOWhSXTqxUjS+ZuFoc61RTWroElLn2xhtvuCFDhvhni7Sj9tJLL/mTLGWkdOvWze28887+zz/++GN3+OGHu7XWWsuftkxLk4B+7FlkkUX8IRz1jXzVHZWOdGKyzN22bdt6QM8995x/X+nPlBWHcYtu0E2aGmDWEIAABFImgAGXcvSZe80R0IJEtXOWW245X4haWwCVbbLNNtv4IufKSlK9HWWjaPGjE+N04qmaspaUjULWW82FtWoD2nfffb2B1r17d9+HCllru6C2CS600ELuyy+/9KbtwQcf7OsCHnDAAf6U01atWvnPv/766/7Phg4dOt3Ww6oNmBubEZDhqmL4L7/8srv66qu9PkrtnXfe8c+U9u3bu8cff9wf3qLniA5R2HDDDb1x0rJly+nGrm3weh41zJ40myAdV4WA3kPnn3++z6Y999xz/Tum1PT+0XZ26UenbpfMfZkqqhWoAzwats8//9w/a+pvWa3KwLmpKQF0Y4qfziEAAQhAoIYJYMDVcHAYWloElNGmGjnLL7+83/alrKUFF1zQm3BazGjBrC2DKpwvw0R/pnpvWhxzwmlaWinNVnW3unTp4v7+97/7bck6PGH48OE++6TUtNVU9ZiUDactg6rBowyVUhszZoxr06ZNmgATm7W2Br722muuWbNmPktSRr+aTp/UVmUdwqG6kXrm7L777v6/6c+1jVAGLi09Aj///LOvPSoDd+WVV3ZXXXWVm3feeT0Imbk6XEEZbdKLnjXS1IQJE3yNSWlNp6DS0iOAbtKLOTOGAAQgAIHyCGDAlceJT0GgqgS0/UvbAHWyafPmzZ1qL+lUQRVF//DDD31WU58+fXwdL2UwyXDTtlP9d21DXGCBBao6Pm5euwSUdaIsFJm3pVNM9XdlrKgpM1KFz2+77TafeaLFtMwX1Q6kpUXg008/9QabMiKV5aaMuNJ2U21Hvuiii5xOKNThC3q2yKjTVtNNNtnEHXbYYWnBYrZ1BGTw6wcfmbEqjSDTbdFFF/Vm/nbbbedNf2Vqf/TRR/6/TZs2zetK77HS9lNwpkcA3aQXc2YMAQhAAAKzJoABN2tGfAICVScg403ZTMpUkuHWu3dvN3bsWH9ipQ5a0H9T9orMOW091QmotHQJ6FRcLXi1hVTmqzImBw4c6E011enSgR2qCaimRfKmm27qjdvFF1/cL5ZVF071AmnpEVAGk3SjwvmnnnqqU1F8mSh65sgs0ZblQw891B/WoWePDBVlNalwOi1dAqohqeeKMtpUM1AlEXSytgxd/bO2IktHypaUUacflP7yl79w+na6kvEzRzeJC4DpQwACEIDADAQw4BAFBAoiIEOkV69e09XQKXUtQ0ULG/1irEwlfU7beLQA1tZUbT/94osv3EknneTr8GiBQ0uXgBa52n6sv2trmDKWtN3r4Ycf9mbtQQcd5Bc+ykLRtlQtnHWSJQ0COlFZZpo0o23LMklkuMncV3aTnlMffPCBL5L/6KOP1tULhFzaBEaPHu3rRapGoLaeKltSZq62neoHIZlvgwcP9iUSpBtOUU5bL6XZoxt0AAEIQAACEJieAAYcioBAQQS0jVSnwumgBZ0oOOecc07X89dff+1PL1UBa9V+kxmnv5SxpEWxtojR0iDwySef+IXtcccd1+iEdTLltttu6+u/qf3yyy9+AaysJi2StejRQliF9JVFyXbTuHWjwzaefvppt99++5U1UW1f1/ZTZUWqWLq2ma677rpO9QCV3aR23333uXbt2rkll1yyrHvyofgJ6D2kZ42Mfx0WpB+IpJHSKbnaeqpMXD2X5p577viBJDpD/cjzzTfflJ2Jj24SFQrThgAEIACBRglgwCEMCBRAQFlKqtUlU0VbvRoz00qFq7U41iJHW8PuuOMOn0nAyaYFBKmGulBR/K233tpvEVSm2xFHHDHd6LQAVraSsiVLTYaK9KLaXWwvraFgFjCUjz/+2G89HjRokFtrrbX880PZkN9//7035Ro7qVQn6OrUU5m2+lFAZq+yKF999dVGs3QLmAZdGBPQybYvvfSS36reWO22SZMm+ezJ/v37u7XXXttnSko/2qKsE1FpaRBQhqNKIOhdo2eL3lH63qJMfW1hb3jCLbpJQxfMEgIQgAAEyiOAAVceJz4FgSYTULaJilKrtpJOo2ysnX/++d5EUY0ubfHRqXO09Aj85z//cQceeKAviC89KHOyflMx/e23395dffXVPhNOTQvg+++/3283PeOMM9KDlviMVSR/5MiR/hkj7Wh7qepJaoGsbMiGi2JlsegwBi2iVVBfpu+wYcN8JmXDzyaONqrpy2zVwT16RtQ3ZvXjkA5ykfH2/PPP+8NaVAqhYRswYIDfhqpDPPTDkMwX6UwHddDSISBjf7311nN77723O+qoo3yWtbL3999/f3f88cejm3SkwEwhAAEIQKBCAhhwFQLj4xBoSECZR8oKaMwse+WVV7yJoi+n2sr1zjvvOGWeKDtFBawba6V6cJBOk4AWyLPPPrt74okn3IUXXugXyzJFGjadkqvFsGoCTp061W/9UsF8nVxZOgE1TYLxzlqZbXfeeafr2rWrz4y99tpr3Z577umfLT/++KN/Dm2xxRa+9p8Wxjodd6eddvIL4saybnWqsrQms5+WDgG9gzbYYAPXvXt3P2llsmlbu7KYVP7g888/9xmVKpWgLe31m4zaXXbZxR199NE+24kWLwFtbX/22Wf9s0Stfh1bZWBrq7GMWhlwK6ywgtNp7vqzxr7foJt4dcLMIAABCECgMgIYcJXx4tMQmIGAMk+UTaJi96Wm+ig6tfTPf/6z/yMZcTJMlCVw5plnOtV7u/nmm6EJgekIaMugtgUqi0mGrjKX9M/KntQhHQ2btoJp0bzSSiv5ekxLLbUURCMmIHP+nHPO8VuTF1lkEf/MUUH8VVZZxRsm2kKqre7KhFQWrZoymy699FKfndJwK+rEiROdth1KP7R0COh9JaNENUaVKXn33Xe7J5980mfR6kciGf8LL7ywk0G79NJLzwDmvffe83XfZNbR4iWgzEa9f3Rgi7IdG9ax1bNIutH3m1KZDH2/UVak3k0NG7qJVyvMDAIQgAAEyieAAVc+Kz4JgUYJlDJPlIlUylRSdoBq5OiEQTWdFnfPPff47V7KYtH2QX2p1UEMuqYxcwXcaRK44IIL3NixY725oqyBjh07+oMUGtaBS5MOsy4RUF1JGW3azq4sONWM1PNE2SrKuJVJp6bPKftNGU+nnXYaABMh0DB7qeG0ZdQqQ1LbTnXQj34wUrbk22+/7benSkM6kEM1BRtugU8EIdOsR6CxOrb6IVFZt1deeaXbcsst/adl6uv7Tf0/AyQEIAABCEAAAv8jgAGHGiBQJgGdFqgDFLTd65hjjnHzzjtv3ZUPPvigu+6663xtHJlp66+/vs8mWHPNNf1nfvvtN7+40eJYRsoDDzzgt3Poi6q2f9W/V5nD4WOREFARcxkoWsioKQtOupDWZM4+88wz7uSTT/aGnE5H1Um5tLQJ6NmigxdU/2/IkCE+803PFNVue/31130NOGVNlrKX9GfaSjh06FCfuUSLn0DD7CXNWBmUKp4vPSywwALuhRde8FvXZbZpW2nLli39v0tH+qyeSdrW3qZNm/iBMcOZEtAPitKHstwa1rG96aab/JZTZWJrO7ua/kwHNegvGgQgAAEIQAAC0xPAgEMRECiTwM8//+zrnWhbqbLYtD2nZIbo12GZazJMlPW21157+VpMyiooNS1ktF2stPVUppzqONHiJqC6ODLVNt9880YnKmNNp5nKMCltWVadr1Kxcxm6ynLSIkdbgLQYoqVJQFvbZfZLS8qKVAZcq1atvFGiZ02pVpOy3/S8Uo24UhszZgxGSpqyqZu1Tk/W9kD9Xe8sZWHLvNWzRZlvMm47d+7sM94GDx7sawlqazstTQKjR492H330kdOhQDLVVJdUxm79OrYyavXjog50KdUL1J999tln/nRcGgQgAAEIQAACGHBoAAKZCahmjrZWKGtNxfGbN2/uazLpQAVlFRx66KH+S6oyC3SCnH4VLmWhaKuPiltriyEtHQLaeiwjRNuPlemorWHSkTJQdtttN59VoG2mu+66a525pgXMxhtv7M3c0jZmDNt0NDOzmUo7yo586aWX/PNn3LhxPjNSdd4uu+wyX49Jdd70Of1Y0LdvX5/dREuXQCl7STUCddCCsiZV/01NPyTpRyNl4co8UY0uZTjJnFPGEyebpqsbzfyxxx7zpTOUFbn77rv7Z89xxx03Qx1bZeGq9puePy1atEgbGrOHAAQgAAEIzIIAGXBIBAIVElCGwGabbeZP/lKmkow1ZaMoO0l1mNS0GNa/q5aXtg9OmDDBL5JVVH/xxRevsEc+HgoBZR2NHz/eF8UvtWnTpnl9bLXVVt4U0YmUG264oa+7pJPjlBE5cuRIv7CRSactgjLbDjvsMKeT5rS4WWihhUJBwDhzJiATf+655/aLXzWZtsqIbN26tf8zFcyXiaI6b8pckpGrAvqffvqpP4iBBXHOAQnsdnpHlbKX9EOAninKuC01neJ9xx13+GcPWgksuDkPVz/86H2k95R+VNQBLXpvjRo1yr366qv+xyDpRJn7DevYDhs2zJu7ZPXnHBRuBwEIQAAC0RHAgIsupEyo2gS0LUPZAqr3JrNk0qRJ3nCTiaL6blrk6Evsqquu6rNTtMVHC2FdM//881d7eNzfiIAOTJDRpm3JqhFYv2nrsbIjN910U18If/nll/cn4cpM0dYdZaDImFOdwRNPPNEbu1rMSEMy6WjpEthvv/18RpsybbfZZhunU5e1LVl6GTRokDf19SxSNlzXrl19jUqZKssuu2y60BKfueoDqml78tSpU+uyl0pZTFdffbV/vqipnqC2MutHJR2+QEuXwE8//eR1oGfIDTfc4E/IlbGvbcjKpNWPRHr29OnThzq26cqEmUMAAhCAQBMJYMA1ESCXp0lAByho+45q6ZTaK6+84s4//3xfI0UnxymrgJYOAdXn0patf/3rX26JJZaYYeInnXSSz2ZTTbhSsWplRaooug5amDx5sq8rKLNFZq3qCNLSI6AaXU8//bSvs6Smw11UFF+ZJ6rtpjqB2gYvk1aZktq+rL+UkSuzpaSt9MilNWMdyKLnh0yRUpPxpq2AOplbzyP9EKRMSf04VMpeUg1B1ZfUqd3Si7YXqj5ps2bN+IEoLQn52SojUieXbr311v7fVQewU6dOXiPSjw53kU70w5D0pXpv+mFx3XXX9c8fMt4SFA1ThgAEIACBJhHAgGsSPi5OlYCy3lT4vH///m7ttdeuw6AvqlrgbLDBBmSgJCgOZbKpLqAMExXFX2qppeooqCi1tvYog0lbBtWkF9V6u/HGG/3JuTQIKDNSi2BlKCnzRIat9KGakqrhpe2n3bt39yadtqa++eabvrbgSiutBLyECCjjVqaJTFmZtqrrJuNExpoybVXHTfUlS61+9pLeW9raLM1IY/WfUwkhZKrOOf1wqDqB+iFIGbbarixTTWUUtL1dJTSUJSnDX03PHX3nWXDBBeEHAQhAAAIQgEAGAhhwGaBxCQREoHRK5b333jvdQgc6aRLQglc1AO+++26/qJUZ17Bpa6AOYFDmyjzzzOMNuC233NIXy9c2ZRoEREAGv0y40nZmLYxV4PyLL77wtQHVZMi1a9cOYIkS0MmU0si///1vn20t00QGrZ4v2squrDdlY6suoLbGN8xeShRbstNWaYw999zTGWM08gAAHTlJREFUby9t2FQmQyacfhxSvdFLL73Ub20fOnSo/zMZvM8995x/Z9EgAAEIQAACEGgaAQy4pvHj6oQJKANBJ8Xpi6syD2gQ+Mc//uEXvloUawHTsGmbqTInW7Zs6bcNPvXUU36LWM+ePYGXGAEVONdppjqUpW3btjPMXlsIDzroIP9s0TYx1WKS4TZmzBi/1V3b4Osf9pEYvqSn+8MPP/itxjpxW1lKOhFXGZOqPali+KpNqppdqjUpc06fUTF9spfSlY22jaoWqZ4ZOhF3ueWWmw6GMm11cJTqu6kUgt5lMtyUKant79KYTu6mQQACEIAABCDQNAIYcE3jx9WJE3jvvff8YoftGOkKQVt4ZLhpwavsAmWm6IS4Cy64oG6raX06jz32mP9vWtAsvfTS3oCjpUVAGZA6PVnG2/PPP++3JiujrWGTCaesJtXnUl1JLYxpaRP4/vvvXfv27d3tt9/uVl55ZW/0659lmKhAvk6y1N9LTQcrrL766r6uJC1dAvfdd5/fvq4sOGVq19dIiYq2s6t0gsooaOupTFsaBCAAAQhAAAL5EsCAy5cnd4MABBIhIHNEixUVxVeTEadaXTqIQQtiLYxLi+KGSJRVoGLWFLBORCz1pvnBBx94U00akHH/+eef+4yUbt26NWqSaDuhTldW3UAV0qdBQAb+2LFjfTF8ZWIrm1bbTKUTbWsfP368PwimZMzp7/PNNx/gEiMgHbz66quuTZs2/ochHQKk7aY6WEF1Shtrb7/9ttOBQaoluPnmmydGjOlCAAIQgAAEqk8AA676jOkBAhCIkIC2HqsYdckUueqqq9w999zjt+uoKP5uu+3mF8aN1YKLEAdTKpOAagSqnpsKm7/zzjt+e+DCCy/ss9uUEUmDQEMCeoYoc0nb19WUBacs2969e3tjVqcoK2NJhpwyKvV3mfvavqxtqdTuSktTMmH1XNGPQsqw1lZl/VikLEhpSP+89957pwWF2UIAAhCAAARqhAAGXI0EgmFAAAJhEdCppTJR1lxzTT/w3377zWe1aWGjTJQRI0Y4nTyomkwtWrQIa3KMtmICKlauUynXXXfdGa5VAXy1Vq1aueHDh/sFsLSibBNtEdT25bvuustvM1XRfBoE6hOQoXbbbbf5jNpSxq1OpSwdBKTthNpe+PDDD/s6XvpxgJYugYEDB7oXXnjBZ2SrVqBM2cMPP9zXA1S5hMsuu8z/CEBWZLoaYeYQgAAEIGBHAAPOjj09QwACARPYa6+93BZbbOHNlFLr16+fL3R98803+z9STZ2SQRfwVBl6GQR0KMLo0aPd/fffX3cqsoy3M8880/34449OW5alixVWWMEf3qKDOLRQ1lYw1e1SZor0o+1itLQJSCsy8Oeff36/DXDatGk+m3bXXXetM9ekmY033thn4JaycPUjANva09aOZi8TVtnZ+iGo1GT0T5w40d10003+QBcZ/dKTsm91WAcNAhCAAAQgAIFiCGDAFcOZXiAAgcAIzOqUSmWbqHC+anmVtg6qsL5qeqlGEy0tApMmTfLbArXQlTn7008/+S2AqqW06aabut9//73OmNOJgwceeKDr3LmzXwgPHjzYrbPOOu6UU05JCxqznYGADNy+fft6PciEW2ONNdx1113nT1dWRq22uOvgH5lthx12mD8hV7W9FlpoIWgmSkCn2+rHHj1vll12WXf55Ze7119/3We8lZpqvx188MFOzx4dHtW1a1d/aNA111zjr6FBAAIQgAAEIFAMAQy4YjjTCwQgEBCBck+pVKaBiqGr/tKECROcrtPhC4svvnhAs2WolRBQFom2/nXv3t1v76rftCW5f//+fnvXZ5995g9b+Pvf/+50kIIMlA8//NAbbiqYr0WwiuPLmFNGnA7voKVNQFuS9Ux58MEHvaH25ZdfelNFxomy3I4//nivpRNPPNFpC+q2227rVl11VZ9VSUuTgH4E+uSTT/yppjLZ9MPQzz//7HbccUd35ZVX1p3ErcxsZePq2aSmOnENn19pEmTWEIAABCAAgWIJYMAVy5veIACBGiVQylCq5JRKnUCo+kxa+ChTRUWutW2MFi8BZUYq061U1Lz+TKUHbevaZptt3KmnnuoL4KsGoDKWVOdNW72UlaIC6VtttVW8kJhZJgJ6lqhGYGkLu24iU18ZtcqGU1alDuuQMadnjTItaWkSUE1A1XOTJi666CIPQYd1LLDAAu6vf/2r/yHo6quv9lm1OhRIWZWlbNw0iTFrCEAAAhCAQG0QwICrjTgwCghAwJDA119/7Re0N9xwg3vppZc4pdIwFiF0rcw1bd1SNknDAzZ0IqWymHTyoLYmq1aXslNKTVtUV199da83GgTqEyidZqq/l4x8bTXVgS8yXKgniV5KBMaPH+8zZ7t16+YOPfRQ/8fKwt555519Zq1qwGm7sjJwVW9SW96XWWYZAEIAAhCAAAQgYEwAA844AHQPAQjYEpBZsuiii/q/9M+cUmkbjxB61/at3XbbzW244YauZ8+eMwxZJ+GqQL6yT/RZLZaXWGIJvzDWSZb6OycQhhDp/MeoGlxfffWV10fDbFlpRQbKZptt5nSoh9rkyZN9DUHphq3t+cejlu84dOhQfwDHdttt1+gwdZrpiy++6A9+KTX92ahRo9y9995bV3OylufI2CAAAQhAAAKpEcCASy3izBcCEJiOgBYv2pqj+l0yVLQI5pRKRDIrAtoSqCL4qrnU8ORSHcahoug61VTF0I8++mh/OqXqeWlb6jzzzDOr2/PfIyOg2m3atiwdaKvyuHHjfC1B1XCr37Sd/aCDDvIHdOggBm1LlSEn3dDSIqA6kYq7av7pmaGt7/XbDz/8UHfwi7a+q+nPZNidd955/mRlGgQgAAEIQAACtUUAA6624sFoIACBKhPQAkUZAsstt5wvXq7ab8pY0padUtYJp1RWOQiR3F6LY+lJJsmf/vSnulkpK05GS2PZcZFMnWlUSEAHtay88sruqKOO8leqDqAynB577DFfo6t+Gz16tK/hJU3pwA7VD6SlRUDPFR3koneT3lOqC7jIIovMAEGZbtdee63fbloy9nXYi95vHLKQlmaYLQQgAAEIhEEAAy6MODFKCEAgBwIPPPCAU3aSiuG/8MILfuGigvky3Lp27err5bRq1cr3xCmVOQCP/BY6fbBjx46uS5cu/iRcGSbKiLv00kvd3Xff7ZZddtnICTC9mRHQ1lFtPdazZu655/bbSK+77jpf/2/gwIF+i6BONt1zzz3dbLPNBkgI1BHQu+mss87y7yedXqrTTGWw6TCXhk1bVHUYx9Zbb+1PyaVBAAIQgAAEIFDbBDDgajs+jA4CEMiJgEy20047zd1zzz2uefPmvg7XjTfe6Bc2qselUyt//vlnv+ihQaBcAiNHjvTmmzLe1JSlcvHFF7tVVlml3FvwuUAJvPvuu+6+++5z55xzznQzUPaani8LLrigz0S6/PLL3b777uu1oa2nMkuUPfn99997w1ZblGlpEyidwi0KMtWU+aitpKpLKq00a9bM66ixph+L5pxzTrfiiiumDZHZQwACEIAABAIggAEXQJAYIgQgkJ2Astq0CH7nnXd8Xa4LLrjAaYtO79693dixY/1CR8Xyv/zyS7fDDju4vn37suUrO+4kr9RJpzJjZOSyCE5HAh9//LHbcccd3dVXX+3at2/vJ67TSlUfsE+fPn5raclYefTRR1337t39fy9tKR08eLA/9AXTPx3NNDbT7777zu2///6+DqkOa1FT5tvhhx/uT1PW80WHcwwaNMiXSqBBAAIQgAAEIBAuAQy4cGPHyCEAgTIIKDtFW3eOPPJIN9dcc/ltploE9+rVy02YMMGbb9qautBCC/ltp2ussYZr0aJFGXfmIxCAQOoErrjiCm+S6Lmi54u2AbZt29YfoqADFV555RVvoGibsjIjZf6rDtynn37qZMrpoI5lllkmdYzRz1+Zjuuuu25diYOGE1amm/Sj7aaldtJJJ/k6btKYst+0NVXb27/++mvXrl276JkxQQhAAAIQgECMBDDgYowqc4JAwgSUyabtX1rkatvOU0895Q03ZQ9o4aKMFf2Ztodp0ay/lIWiAxj22WefhMkxdQhAYGYESoclqGZk/fbjjz/60yZ1cukRRxzhXnzxRb+lVKabjLgNNtjAqVagzH5lvOnZpO3wOpBBJt0CCywA9AQI6IcelThQDVI1ZWQ/++yzvibgFlts4ZRNudNOO/nDN9Zbbz3/GRm4++23n7vrrrvq9KL3m0y4LbfcMgFqTBECEIAABCAQHwEMuPhiyowgEDWBn376aYZTA+tP+Pnnn/e13lZaaSWfXfLbb7/5BY6yB7744gu/yHnkkUfcL7/84s477zx3xx13+Ppd9U+xjBogk4MABComoG2i999/v89206EK9dtDDz3kzj//fPfkk0/6Om+q4aWtp6VTKHWapba6q14gLU0CMs5k1N5www3u888/99tN11prLX8KroxbZU4q000/BklnOpjj7bff9icpS0c6tEOakrY43TRNDTFrCEAAAhCIgwAGXBxxZBYQSIKAFr+nn366O/HEE90hhxxSN2dlsanovepvyVhTvRxlpPzrX//yBy2olo6yUjbZZBO/UJbppq2mF110kc8soEEAAhD4IwLKXlKNSJ1a2vC0SRkjyp7VM0i1JdWU8aZ6XmPGjPHb3XUIg06rpKVLQNlveoctueSSvm6gjFzVCzzssMPcnXfe6dq0aeN22WUXf0jHtttu6z+jbDeZcWxTTlc3zBwCEIAABOIigAEXVzyZDQSiJqBabaqbpEw2be1SdoCy12699VbXv39/b6xpoSLDTSdTaouPDl5QpoEW0Kqpo6btYaq3Q4MABCBQLgEZ/WeccYY/OblULL90rZ41Oq1SWW46jENbDocOHeqNfv1goOcVLW0C+nFIJu6yyy7rt5qW2plnnukmTZrkM7ZHjx7t32s6wOOEE05w66+/ftrQmD0EIAABCEAgMgIYcJEFlOlAIGYC2pJz6qmn+po4WuzKRLvmmmt8HSXVVtK2HplwWiBPnjzZZ71ddtllTttStaDRdTQIQAACWQmobpsOdalfLF/3Uhac6nndc8893nSjQaAxAo8//rh/hz399NNu0UUX9R9RPThlUL711ls+240GAQhAAAIQgEC8BDDg4o0tM4NAdASUQaCT5EaNGuXmnHNO16NHD39yaekkQW3jUTacarupZpP+XU3bTnUgg7JSaBCAAASyEpBZom2oes5stNFGdbdRjS8d0PDMM8/4OnC0NAkou1oHcaimqEoeNFavTSfiKoPyr3/9q4ekk3F12ILqlCqjmwYBCEAAAhCAQLwEMODijS0zg0CUBLSF54ILLvBbc5TlprpKEydO9KfL6c900qCy4L766it/2un8888fJQcmBQEI2BBQnbfS6crLLbecP11ZW95Vw0vbB2nxE9APPDqJdM0116ybrDK0dQCQapF+8MEHfiuysrIbvoPeffddt/vuu/sDgZQ1ed999/mM7l133TV+cMwQAhCAAAQgkDgBDLjEBcD0IRAaAdXFWW+99fw2sMsvv9zXVtKWL2UTKPOtU6dOfhuYMlRuvvlmX/CaBgEIQCAvAspyUt0ubXVv1aqVU/bbAQcc4A9nIIMpL8q1fR+dWKpM7Lvvvttnu+m0bWVAamuy3k+//vqr23///f37R2USGrZzzjnHH9ShAxh0eIfeZzQIQAACEIAABOIngAEXf4yZIQSiInDdddd5Y2211Vbzi+C2bdv6+T333HO+2Ln+jNMGowo5k4FATRL45JNPfKZt69atybStyQhVb1A//vij69Chg6/ntttuu7lx48a5jh07OmXBKSNSBt3777/v30eNHcChQxf0WWXR0SAAAQhAAAIQSIcABlw6sWamEIiCgLZ+aXHzxBNPzDCfzz//3GcSUMg6ilAzCQhAAAJmBFRzVHVEu3bt2mhm44MPPuj69OnjMyGnTZvmNt54Y7+1VLXcjjzySP9DkOrBffPNN27nnXc2mwcdQwACEIAABCBQOwQw4GonFowEAhAog4C27ah2zmuvveZPQaVBAAIQgAAE8iagrcbaKqost/oHa8iU04naqv83ZMgQ95e//MWddNJJ7uyzz3ZPPvmkN+QWXHBBP5xu3br5g4O0RZkGAQhAAAIQgAAEMODQAAQgEBQBZRqss8467vbbb6/bfhrUBBgsBCAAAQgEReD333/3td50yu0ll1zi7r33Xn/IwiOPPOLOOuss9/jjj/t/33vvvd0KK6zga5EOHz7caZuySibwY1FQ4WawEIAABCAAgaoRwICrGlpuDAEIVIuATppT1oFOm6NBAAIQgAAEqkVAJ5l+/PHH7txzz3V9+/Z1OsX06quvrutOBwOp6bAFbTcdMGCA++KLL1y7du28ETf77LNXa2jcFwIQgAAEIACBwAhgwAUWMIYLAQhAAAIQgAAEIFAMgTFjxrg99tjD3X///d5Y07ZSZcIp401t5MiR7qCDDnK33Xab22ijjYoZFL1AAAIQgAAEIBAkAQy4IMPGoCEAAQhAAAIQgAAEqkFg8uTJbvz48W755Zd3c889t+vVq5c/6fRvf/ubr0G6+eab+xNO1XSaaY8ePdycc87pHnrooWoMh3tCAAIQgAAEIBAJAQy4SALJNCAAAQhAAAIQgAAEyieggxNkrtXfJiqTTTVGdZCCDlq4/PLL3bfffuu23357d+GFF7oWLVq4Qw45xB177LFu9dVX99tRL7jgAjf//PO7Vq1ald85n4QABCAAAQhAIDkCGHDJhZwJQwACEIAABCAAAQjIRFtttdXcDz/84LeW6nTTESNGuD59+rh5553XlQ5fEKlBgwb5DDgduPDCCy+46667zjVr1swdc8wxbsMNNwQmBCAAAQhAAAIQmCUBDLhZIuIDEIAABCAAAQhAAAIxEZC5dvrpp/tto71793b77LOPO/744/3p2p07d3avvfaae+WVV9yUKVNcly5d3GKLLeY6duzo/zrqqKNiQsFcIAABCEAAAhAoiAAGXEGg6QYCEIAABCAAAQhAwJ6AarzNNddc7p///KffbqqtpGeddZZ78cUX3dFHH+1NNxlxG2ywgfvkk0/chAkT/CEMb775ps+MW2mllewnwQggAAEIQAACEAiOAAZccCFjwBCAAAQgAAEIQAACWQkoo02HKejv77zzjtt3333dww8/7FZccUU3bdo0v/W0VBfus88+86eg6rRTGgQgAAEIQAACEGgKAQy4ptDjWghAAAIQgAAEIACBmidQv57bU0895XQAw5NPPumaN2/uTzT9+uuv3c033+znoYy3JZZYwo0ZM8Yf0iCDbq+99qr5OTJACEAAAhCAAARqmwAGXG3Hh9FBAAIQgAAEIAABCDSBQP/+/d0XX3zhTbdSO/jgg/1WUv3ZxIkT/SmnPXv2dHPOOacbMmSIe/rpp90aa6zhTjzxRL8VlQYBCEAAAhCAAASaSgADrqkEuR4CEIAABCAAAQhAoGYJjB492h+y8OCDD7rWrVv7cSq7TVtLS1tPH3jgAW/GyYi76KKLfK03GgQgAAEIQAACEMiTAAZcnjS5FwQgAAEIQAACEICAKQEdojB8+HD3008/ua233to1a9bMm2s6UOFvf/tb3dgOPfRQ/8+33HKL//tvv/3m5phjDtOx0zkEIAABCEAAAvESwICLN7bMDAIQgAAEIAABCCRFQCeV9ujRw62yyipu3Lhx7scff3R33HGH31q63XbbuUsuucT/XU2m3DPPPOMuvPBCt8UWWyTFiclCAAIQgAAEIFA8AQy44pnTIwQgAAEIQAACEIBAzgR++eUXn/F2ww03uLXXXtv9+uuv7rDDDvPm24ABA9ztt9/u+vbt67eY6vTTr776yqkW3NJLL1136mnOQ+J2EIAABCAAAQhAoI4ABhxigAAEIAABCEAAAhAInsB7773nTyx944036uby8ccfuw4dOri77rrLrbXWWu7iiy/2WW/KgjvuuOPcn//85+DnzQQgAAEIQAACEAiDAAZcGHFilBCAAAQgAAEIQAACf0Dgv//9r9t44419tpv+Xmqq9dauXTt3+OGHww8CEIAABCAAAQiYEcCAM0NPxxCAAAQgAAEIQAAClRD47rvv3EsvveQWX3xx17Zt2xkuPeuss9y7777rBg8e7Leeqh100EFur732crvuumslXfFZCEAAAhCAAAQgkCsBDLhccXIzCEAAAhCAAAQgAIFqEHjooYfc9ddf7423559/3u2www6uV69e03X17bfferNthRVW8NtRhw4d6mu99evXjxNOqxEU7gkBCEAAAhCAQNkEMODKRsUHIQABCEAAAhCAAAQsCHzwwQfukEMOcY888ohbcMEF3eeff+523nln161bN3fAAQdMN6RJkyZ5w+3LL790W265pevUqZObbbbZLIZNnxCAAAQgAAEIQKCOAAYcYoAABCAAAQhAAAIQqCkC06ZNc2PHjnWLLrqoW2ihhdzdd9/tnnzySXfLLbf4E0wvvPBCt/DCC7sePXr4U0xpEIAABCAAAQhAoNYJYMDVeoQYHwQgAAEIQAACEIiUwBVXXOG23nprt+6669bNcMSIEa53796uRYsW7scff3T33HOPe/nll90JJ5zgdtppJ/f222+7M844w2200UZ1p5uuttpqkRJiWhCAAAQgAAEIxEIAAy6WSDIPCEAAAhCAAAQgEBiBs88+240ePdrdf//97k9/+pPPbuvevbu76aabXKtWrdzvv//u/3zq1Klul112cS1btnQDBw70W0qnTJniOnTo4LebtmnTJrCZM1wIQAACEIAABFIjgAGXWsSZLwQgAAEIQAACEKgRAqrXtv322/uMNh2ecPvtt7tnn33WXXPNNe799993o0aN8rXcdOCCTjU98MADXefOnZ0y3nTS6TrrrONOOeWUGpkNw4AABCAAAQhAAAIzJ4ABhzogAAEIQAACEIAABKpKYOLEiW7AgAE+u2322Wefri/Vdevfv7+v8TZ58mR/qML48ePdSiut5LeZNmvWzA0aNMg9/fTT3oyTSafMOGXEbbLJJlUdNzeHAAQgAAEIQAACeRHAgMuLJPeBAAQgAAEIQAACEGiUwHfffecz3VTHreGppb/++qvbdddd3TbbbONOO+00f722l84111x192rfvr3r27eva926NYQhAAEIQAACEIBAkAQw4IIMG4OGAAQgAAEIQAACYRFQ5pq2lirTTQcs1G/PPPOMO/bYY90TTzzhTzX99ttvfd03/aWDGlQH7tJLLw1rwowWAhCAAAQgAAEI1COAAYccIAABCEAAAhCAAASqTkBm2m677eY23HBD17Nnzxn623vvvd3GG2/sa7rJrOvTp49bfPHF3SGHHOL032gQgAAEIAABCEAgZAIYcCFHj7FDAAIQgAAEIACBgAiMGDHCHXbYYe7hhx+e4eTS66+/3r355pv+VFMaBCAAAQhAAAIQiI0ABlxsEWU+EIAABCAAAQhAoIYJHHPMMe6HH35wt956q99aWmrKiptjjjkazY6r4ekwNAhAAAIQgAAEIFAWAQy4sjDxIQhAAAIQgAAEIACBPAh88sknrmPHjq5Lly7u5JNP9iacMuJU4+3uu+92yy67bB7dcA8IQAACEIAABCBQUwQw4GoqHAwGAhCAAAQgAAEIxE9g5MiR3nxTxpvaIoss4i6++GK3yiqrxD95ZggBCEAAAhCAQJIEMOCSDDuThgAEIAABCEAAArYEpkyZ4t59910333zzuRVXXNF2MPQOAQhAAAIQgAAEqkwAA67KgLk9BCAAAQhAAAIQgAAEIAABCEAAAhCAQNoEMODSjj+zhwAEIAABCEAAAhCAAAQgAAEIQAACEKgyAQy4KgPm9hCAAAQgAAEIQAACEIAABCAAAQhAAAJpE8CASzv+zB4CEIAABCAAAQhAAAIQgAAEIAABCECgygT+H2EssubIldeWAAAAAElFTkSuQmCC" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><div class = 'S5'><span>Without doing some statistical analysis, it is of course diffcult to draw precise conclusions, but let's treat the findings qualatively. (Note that if you want to do some stats here, you can contribute back to this repository via a pull request on GitHub).</span></div><div class = 'S1'><span>For this question, I was pleasantly surprised to see that ~90% of respondents were aware of version control, higher than perhaps I might have expected, though our survey respondents may have been a slightly self-selected population. What's particularly interesting to me here is the ~25% who use version control outside of MATLAB, but not with it. Depending on whether participants interpreted the 'Use outside MATLAB' and 'Use outside but not with MATLAB' as being equivalent or not (that's a lesson for me on study design!), this could be seen to be as high as ~50%. Without digging further into why the "Aware of but don't use" group responded that way, we can't tell why, but we may be able to conclude that out of this group of 239 MATLAB users, up to around 75% don't use version control when working with MATLAB, despite most being aware of it.</span></div><div class = 'S1'><span>Next, let's take a look at GitHub/GitLab/BitBucket.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >plotAwareness(awarenessTable, </span><span style="color: rgb(167, 9, 245);">"awareness_github"</span><span >)</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Online code hosting (e.g. GitHub, GitLab, BitBucket)"</span><span >)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="2EFAA6CC" prevent-scroll="true" data-testid="output_3" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><div class = 'S5'><span>Straight away, we can see that there's an increase in awareness in relation to the version control tools themselves, more participants are aware of GitHub than they are of git, which might be a lesson to those of us who support researchers.</span></div><div class = 'S1'><span>Otherwise the pattern is broadly similar here, only 20% use GitHub when working with MATLAB.</span></div><h3 class = 'S11'><span>Dependency and Environment Management</span></h3><div class = 'S1'><span>When it comes to reproducibility, managing </span><span style=' font-style: italic;'>dependencies</span><span> and </span><span style=' font-style: italic;'>environment</span><span> - i.e. the software that your code relies upon to run - is the fundamental challenge. It's not an easy thing to do, but once you do, it can allow you to run your code almost anywhere. In many ways this is the crux of reproducibility of research analysis.</span></div><div class = 'S1'><span>For MATLAB, I found this a particularly difficult question to pose, and I'm not sure I've done the best job. Participants were asked to indicate their level of awareness and use of "Dependency and/or environment management (e.g. conda, renv, etc.)" which gives the examples </span><span style=' font-family: monospace;'>conda</span><span> and </span><span style=' font-family: monospace;'>renv</span><span> - common environment management tools in python and R respectively. However, to my knowledge, MATLAB doesn't have equivalent tools. The closest is perhaps the "</span><a href = "https://uk.mathworks.com/help/matlab/projects.html"><span>Project</span></a><span>", which we'll investigate further later on.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >plotAwareness(awarenessTable, </span><span style="color: rgb(167, 9, 245);">"awareness_dependencyMgmt"</span><span >)</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Dependency and/or environment management (e.g. conda, renv, etc.)"</span><span >)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="30A8E42F" prevent-scroll="true" data-testid="output_4" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><div class = 'S5'><span>Here, it looks like most (if not all) of those participants who use these tools outside MATLAB, might not use them with MATLAB, but perhaps this is because conda and renv aren't relevant and participants were left to themselves to work out what dependency and environment managment looks like in MATLAB. However, some respondents do use these tools with MATLAB apparently, so I'm unsure what conclusion to draw here. Either way, it looks like a fairly small number use dependency or environment management with MATLAB, through lack of availability of tools or awareness of the concepts.</span></div><h3 class = 'S11'><span>Continuous Integration</span></h3><div class = 'S1'><span>Similarly, we asked participants to indicate their level of awareness and use of "Continuous Integration/Deployment (e.g. automated testing, GitHub Actions, Travis, Jenkins etc.)".</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >plotAwareness(awarenessTable, </span><span style="color: rgb(167, 9, 245);">"awareness_CICD"</span><span >)</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Continuous Integration/Deployment"</span><span >)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="3C64EDE2" prevent-scroll="true" data-testid="output_5" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><div class = 'S5'><span>Perhaps predictably, awareness was lower for this slightly more advanced concept, but still fairly high at >80%. However, use of these tools with MATLAB was <10%, even with tools being available such as </span><a href = "https://github.com/matlab-actions/overview"><span>GitHub actions for MATLAB</span></a><span>.</span></div><h3 class = 'S11'><span>Literate Programming</span></h3><div class = 'S1'><span>An esoteric, but valuable, concept in research code, literate programming is something that MATLAB is fairly well tooled up for, look at this here livescript for proof! So I was interested to see what our participants had to say.</span></div><div class = 'S1'><span>Once again for this set of questions, some test of comprehension of what was meant by "literate programming" might have been beneficial, but examples were given as "Literate programming (e.g. jupyter notebooks, rmarkdown, live scripts, quarto)".</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >plotAwareness(awarenessTable, </span><span style="color: rgb(167, 9, 245);">"awareness_literateProgramming"</span><span >)</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Literate programming"</span><span >)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="388E4BB1" prevent-scroll="true" data-testid="output_6" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><div class = 'S5'><span>Understandably, we see greater usage in MATLAB, though still not as many respondents who are aware but don't use the tools, or use them outside of MATLAB exclusively.</span></div><h3 class = 'S11'><span>Software Testing</span></h3><div class = 'S1'><span>Similarly to some of the above concepts, software testing is a valuable tool in improving code reliability, though not </span><span style=' font-style: italic;'>strictly essential</span><span> for reproducibility. Personally I think that the test framework and tools available in MATLAB are excellent, so I was interested to see what the survey had to say.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >plotAwareness(awarenessTable, </span><span style="color: rgb(167, 9, 245);">"awareness_softwareTesting"</span><span >)</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Software Testing"</span><span >)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="47AFA607" prevent-scroll="true" data-testid="output_7" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><div class = 'S5'><span>Here we see a big group of participants who are aware of testing but don't use it, but also a large number who do use it in MATLAB. Still there are many who use testing outiside of MATLAB but not inside.</span></div><h2 class = 'S6'><span>Usage of Git with MATLAB</span></h2><div class = 'S1'><span>Next up, I was interested to know how about how researchers who use git choose to interact with it. There are many interfaces available for git, including tools built into the MATLAB IDE itself.</span></div><div class = 'S1'><span>The question </span><span style=' font-style: italic;'>verbatim</span><span> was "</span><span style=' font-weight: bold;'>Do you use </span><a href = "https://git-scm.com/"><span style=' font-weight: bold;'>git</span></a><span style=' font-weight: bold;'> as a version control system with MATLAB? If so, which interface(s) do you use?"</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >gitTable = cleanedData(:, {</span><span style="color: rgb(167, 9, 245);">'role'</span><span >, </span><span style="color: rgb(167, 9, 245);">'matlabExperience'</span><span >, </span><span style="color: rgb(167, 9, 245);">'programmingExperience'</span><span >, </span><span style="color: rgb(167, 9, 245);">'gitUsage'</span><span >});</span></span></div></div><div class="inlineWrapper"><div class = 'S3'> </div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >barVals = [height(gitTable(contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"I don't use git with MATLAB"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(gitTable(contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"git's command line interface"</span><span >) & ~contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"I don't use git with MATLAB"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(gitTable(contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"Other development environment git interface (e.g. VScode, Rstudio, PyCharm)"</span><span >) & ~contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"I don't use git with MATLAB"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(gitTable(contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"GitHub Desktop"</span><span >) & ~contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"I don't use git with MATLAB"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(gitTable(contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"MATLAB's source control tools"</span><span >) & ~contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"I don't use git with MATLAB"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(gitTable(contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"GitKraken Client"</span><span >) & ~contains(gitTable.gitUsage, </span><span style="color: rgb(167, 9, 245);">"I don't use git with MATLAB"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > ];</span></span></div></div><div class="inlineWrapper"><div class = 'S3'> </div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >labels = {</span><span style="color: rgb(167, 9, 245);">'I don''t use git with MATLAB'</span><span >, </span><span style="color: rgb(167, 9, 245);">'git CLI'</span><span >, </span><span style="color: rgb(167, 9, 245);">'Other IDE'</span><span >, </span><span style="color: rgb(167, 9, 245);">'GitHub Desktop'</span><span >,</span><span style="color: rgb(167, 9, 245);">'MATLAB''s source control'</span><span >, </span><span style="color: rgb(167, 9, 245);">'GitKraken Client'</span><span >};</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >x = categorical(labels);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >x = reordercats(x,labels);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >bar(x, barVals);</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >ylabel(</span><span style="color: rgb(167, 9, 245);">'Number of respondents'</span><span >)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="339AB5F3" prevent-scroll="true" data-testid="output_8" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><div class = 'S5'><span>Immediately we can see that the biggest group here are those who choose not to use git with MATLAB at all. I haven't analysed how many of this group don't use git at all, though you </span><span style=' font-style: italic;'>could</span><span> contribute that analysis via a pull request :D</span></div><div class = 'S1'><span>Out of those who use git when working with MATLAB there's a fairly even spread across the interfaces mentioned including the native git command line interface, tools in </span><span style=' font-style: italic;'>other</span><span> IDEs such as VScode or pycharm, GUIs such as GitHub Desktop or GitKraken client, and a fairly good chunk of users who do use the tools built into MATLAB itself. It's worth pointing out here that the git integration in the GUI seems to have some nice impovements in the new MATLAB IDE launched recently in R2023a.</span></div><h2 class = 'S6'><span>Usage of MATLAB Tools and Features</span></h2><div class = 'S1'><span>Next up, participants were asked to indicate which of a list of MATLAB features relating to reproducibility and code quality that they use.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >matlabToolsTable = cleanedData(:, {</span><span style="color: rgb(167, 9, 245);">'role'</span><span >, </span><span style="color: rgb(167, 9, 245);">'matlabExperience'</span><span >, </span><span style="color: rgb(167, 9, 245);">'programmingExperience'</span><span >, </span><span style="color: rgb(167, 9, 245);">'matlabFeatures'</span><span >});</span></span></div></div><div class="inlineWrapper"><div class = 'S3'> </div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >barVals = 100*[height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, </span><span style="color: rgb(167, 9, 245);">"Functions"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, </span><span style="color: rgb(167, 9, 245);">"Classes and Object-Oriented Programming"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, </span><span style="color: rgb(167, 9, 245);">"Projects"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, </span><span style="color: rgb(167, 9, 245);">"MATLAB's source control integration"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, </span><span style="color: rgb(167, 9, 245);">"Testing"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, </span><span style="color: rgb(167, 9, 245);">"Live Scripts"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, </span><span style="color: rgb(167, 9, 245);">"Custom toolbox development"</span><span >), :)) </span><span style="color: rgb(14, 0, 255);">...</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > ]/height(matlabToolsTable);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'> </div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >labels = {</span><span style="color: rgb(167, 9, 245);">'Functions'</span><span >, </span><span style="color: rgb(167, 9, 245);">'Classes and OOP'</span><span >, </span><span style="color: rgb(167, 9, 245);">'Projects'</span><span >, </span><span style="color: rgb(167, 9, 245);">'MATLAB source control'</span><span >, </span><span style="color: rgb(167, 9, 245);">'Testing'</span><span >, </span><span style="color: rgb(167, 9, 245);">'Live Scripts'</span><span >, </span><span style="color: rgb(167, 9, 245);">'Custom Toolbox Dev'</span><span >};</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >x = categorical(labels);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >x = reordercats(x,labels);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'> </div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >bar(x, barVals)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'> </div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >ylabel(strcat(</span><span style="color: rgb(167, 9, 245);">"% of "</span><span >, num2str(height(matlabToolsTable)), </span><span style="color: rgb(167, 9, 245);">" respondents"</span><span >))</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="125E7DF0" prevent-scroll="true" data-testid="output_9" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><div class = 'S5'><span>Out of the list, language features such as functions and classes were the most popular, but live scripts also see a high level of usage here as well, which is great. The other tools such as projects, source control, testing and custom toolbox development, see less use by this group, but still a fairly high proportion at around 20%.</span></div><h2 class = 'S6'><span>Demand for training</span></h2><div class = 'S1'><span>Importantly, I wanted to find out what the relative demand for learning some of these concepts and tools might be, as well as the training formats preferred.</span></div><div class = 'S1'><span>Across the topics asked about (Projects, testing, live scripts, version control, toolbox development, publication and licensing) there was a consistent demand for training of around 25-30% of participants indicating some kind of demand. The preference for structured training versus self-guided learning varied between topics, with some of the perhaps more </span><span style=' font-style: italic;'>difficult</span><span> topics leaning more strongly towards structured training, though there was a substantial demand for both for every topic. This is something I was keen to know about with regards to whether when developing materials one should consider the different demands of these two formats.</span></div><div class = 'S1'><span>There aren't any particularly stark findings here, the message seems to be that there's a mixed bag of attitudes towards demand for training in these areas with no striking spikes or absences.</span></div><div class = 'S1'><span>Interestingly though, when it comes to software licensing, in comparison to the other topics asked about here, there was a rise in lack of interest for training, but a drop in those participants who were already familiar with the topic. When it comes to reproducibility and open research, licensing is what legally allows other people to use your code, so whilst the participants indicated a lack of demand for training here, I might suggest that this result indicates a greater need for it.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >t=tiledlayout(</span><span style="color: rgb(167, 9, 245);">"flow"</span><span >);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >title(t, strcat(</span><span style="color: rgb(167, 9, 245);">"Demand for Training (% of 239 respondents)"</span><span >))</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >nexttile</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >h = plotTrainingDemand(cleanedData, </span><span style="color: rgb(167, 9, 245);">"trainingDemand_projects"</span><span >);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"MATLAB Projects"</span><span >)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >nexttile</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >plotTrainingDemand(cleanedData, </span><span style="color: rgb(167, 9, 245);">"trainingDemand_testing"</span><span >);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Testing"</span><span >)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >nexttile</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >plotTrainingDemand(cleanedData, </span><span style="color: rgb(167, 9, 245);">"trainingDemand_livescripts"</span><span >);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Live Scripts"</span><span >)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >nexttile</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >plotTrainingDemand(cleanedData, </span><span style="color: rgb(167, 9, 245);">"trainingDemand_versioncontrol"</span><span >);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Version Control"</span><span >)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >nexttile</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >plotTrainingDemand(cleanedData, </span><span style="color: rgb(167, 9, 245);">"trainingDemand_customtoolboxes"</span><span >);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Custom Toolbox Development"</span><span >)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >nexttile</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >plotTrainingDemand(cleanedData, </span><span style="color: rgb(167, 9, 245);">"trainingDemand_publishingcode"</span><span >);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Publishing code"</span><span >)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >nexttile</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >plotTrainingDemand(cleanedData, </span><span style="color: rgb(167, 9, 245);">"trainingDemand_licensing"</span><span >, true);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">"Software Licensing"</span><span >)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >stackedBarLabels = {</span><span style="color: rgb(167, 9, 245);">'Novice'</span><span >, </span><span style="color: rgb(167, 9, 245);">'Competent Practitioner'</span><span >, </span><span style="color: rgb(167, 9, 245);">'Expert'</span><span >};</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span >l = legend(flip(h), flip(stackedBarLabels), </span><span style="color: rgb(167, 9, 245);">"Location"</span><span >,</span><span style="color: rgb(167, 9, 245);">"northeast"</span><span >);</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >l.Layout.Tile = 8;</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="85DBA12B" prevent-scroll="true" data-testid="output_10" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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Z3KWrRogaIovIiLFy9SUlJC69atqczFxQUHBweys7OprHnz5vyVmjVrRmXGxsZ8+eWX9OnTB29vb9q2bcvixYvR3Lt3j2cxNjamUaNG6CmKgoWFBUVFRfwWd3d3KrOysqKoqAjN+fPn0TRr1gw9RVHo2rUrv6egoIAaNWpQWffu3fnpp584f/48586d48SJE/Ts2ZOPP/6YN954g44dO7Jw4UIMDAz49ttv8ff3Z+LEiVRUVPA0p0+fpmbNmri4uFBZy5YtKS0t5fLly/wRpaWljBs3jkOHDrFmzRrq1q1LVXPmzGHNmjWMHDmSNWvWEBkZiV5QUBCXL19mwYIF3Lt3j4KCAiZOnEhZWRlGRkb8nubNm1PZiRMn8PT0xNTUFL1q1arRsmVLjh8/jqZr164UFBQQHBxMQkIC169fx9zcnFatWmFqaoreq6++irGxMXqWlpY4OTlx4cIFNKdPn6ZmzZq4uLhQWcuWLSktLeXy5cvo6XQ6TExM0LOyskJTVFSE5ty5c9SqVQsHBwf0zM3Nady4MXoXLlyguLiYdu3aUdlrr72GtbU1x48fR8/Y2JhGjRqhpygKFhYWFBUV8Sxdu3aloKCA4OBgEhISuH79Oubm5rRq1QpTU1P0rK2tEUIIIQQYIIQQQoiX4vLly9SuXRtNcXExmr59++Lu7o67uzvu7u4MGDAATUFBAXqmpqZUZWpqytOoqopm6dKlLFy4kK5du/Lll1+SnJzMmjVreBpTU1OeRlVVVFWlpKQEa2trKjMyMqJ69eq8iAcPHqCxsbGhKisrK4qLi6nMxsaGv4qFhQVGRkboqapKWFgYO3fuZOzYsWzatInk5GQmTJjA7zE1NUVRFKpSVZXfUq1aNapSVRXNw4cP0VhbW1OZg4MDv+f+/ftYWlpSmaurK++99x4jR45k9OjRTJ06lWvXrvH9998zffp0ND/88AN9+vTBxMQEf39/bty4waVLl3iaBw8eYGNjQ1VWVlZoiouLeVEFBQUEBQWRm5vLpk2baNmyJU/TuHFjOnToQHh4OHPnziUpKYkff/wRTZcuXQgPDyc+Pp42bdrQuXNn6tati5eXF/b29vweGxsb9FRV5eHDh6SlpeHu7o67uzvu7u64u7vz7bffUlBQgKZz587Ex8fj6OjIwoUL6dKlC3369OHAgQNUZm5uTlVmZmaUlpaiefDgATY2NlRlZWWFpri4GL1q1arxNKqqoikuLsbKyoqqrKys0Hvw4AGauXPn4u7ujru7O+7u7ri7u3Pv3j3u3LmDnqmpKYqiUJWqqjxL586diY+Px9HRkYULF9KlSxf69OnDgQMHEEIIIcT/zQAhhBBC/OXOnj3L+fPn6dq1KxorKys069atIzk5meTkZJKTk0lOTiYlJQV/f3/+jKSkJHr16sWoUaOoV68ejo6O/BGKomBqakpJSQmVPXr0iIcPH/IirKys0Ny9e5eqioqKsLKy4u9y5coVMjIy+Pe//42Pjw916tTB0dGRR48e8f9CtWrV0JSVlVFZYWEhv8fKyor79+9T1ZAhQ/juu+/Yv38/ffv25cMPPyQyMhJ7e3s0d+/exdraGo2ZmRnGxsYUFhbyNFZWVty9e5eqioqK0FhZWfEiCgsLCQkJQVVVtm7dSsOGDans3LlzJCQk8OTJEyrz8PBAc/78efTCwsJIT08nLS2N9PR0IiMjuXTpEq+++iovQlEULC0t6dKlC8nJySQnJ5OcnExycjI7d+4kMTERvZYtWxIVFcWRI0dISEjA2dmZsWPHcvHiRfSKioqo6uHDh5ibm6OxsrLi7t27VFVUVITGysqK51W9enVKS0up6u7du+hZW1ujmTBhAsnJySQnJ5OcnExycjIpKSl8+OGH/FktW7YkKiqKI0eOkJCQgLOzM2PHjuXixYsIIYQQ4v9kgBBCCCH+Unfv3iUyMhJbW1sCAgLQtGjRAk1hYSFubm64ubnh5uaGk5MT1apVw8bGhj/j/v372NjYUNnWrVv5Ixo0aEBWVhaVHT58mBfl5uaGubk56enpVHbp0iUKCwvx8PDg7/LgwQM0NjY26D1+/Jjk5GQ0qqryd6pfvz6anJwc9FRVZd++ffyeGjVqkJ+fz29ZunQpLi4u9O/fHz0bGxsePHiAprS0lPLycuzs7Hia5s2bk5+fz+XLl6ns2LFjWFhYUK9ePV7EhAkTMDY25ssvv8Te3p6qsrOzmT59Ounp6VSWlZWFplatWmhOnTpFUlIS1atXp169elSvXp0TJ05w6dIlevXqxYtq0aIFly9f5pVXXsHNzQ03Nzfc3NwwNjamdu3aaA4cOEBOTg4aAwMDPDw8mDlzJhUVFWRnZ6OXnZ1NaWkpeoWFhfz888/odDo0zZs3Jz8/n8uXL1PZsWPHsLCwoF69ejwvNzc38vLyKCoqQq+oqIjs7Gz03NzcsLS05ObNm7i5ueHm5oabmxtubm5oatSowYtSVRW9AwcOkJOTg8bAwAAPDw9mzpxJRUUF2dnZ6N27dw8hhBBCgAFCCCGE+MOuX79Oeno66enp7N+/n5UrV9KnTx9u3LhBVFQU9vb2aDw8PPD29mbevHmkpaVx/fp1fvrpJ8aNG8eQIUMoKSnhz2jZsiV79uzhzJkzXL9+nSVLlqAoCkZGRmRlZXH//n2el7+/P2fPnmXRokXk5OSwb98+lixZgoWFBS/CxMSE4cOHk5KSwueff05eXh4ZGRlMmTIFe3t7BgwYwN/llVdewdLSkk2bNnHjxg1ycnIYP348bdq0QZOZmUlJSQl/lzfeeANra2vmzZtHZmYmeXl5fPjhh6iqyu9p06YNp0+fprS0lKfJyspiy5YtzJ49m8ratm1Lamoqmh07duDs7Ez9+vV5moEDB2JnZ0dERASZmZlcu3aN2NhY0tLSGDFiBMbGxjyvnTt3cvToUQICAsjOziY9PZ309HTS09NJT0/n0aNHdOvWjQYNGjBlyhQSEhI4fvw4X331FTNnzsTFxYVOnTqhuXnzJpGRkSxevJjTp0+ze/du/v3vf9O5c2fatm3LixozZgyXL19m+vTp5OTkkJeXx8aNG/Hz82Pz5s1oNm/ezLhx49i3bx95eXnk5OSwatUqTExMaN68OXpmZma899575OTkcP78eSIjIzEyMqJv375oBg4ciJ2dHREREWRmZnLt2jViY2NJS0tjxIgRGBsb87z69u2LqqpERERw6tQpjh8/zsSJE3F0dETP2NiYUaNGkZCQQGxsLJcvX+b8+fN8/PHH+Pn5cfbsWV6EjY0Np0+fJicnh8LCQjZv3sy4cePYt28feXl55OTksGrVKkxMTGjevDl66enpCCGEEAIMEEIIIcQftm3bNkJCQggJCSE8PJykpCS6d+9OUlISb7zxBpUtX74cX19fPv74Y7p3705oaCg2NjZs3LiR6tWr82fMmjWLevXq8fbbbzN48GAqKiqYPn06wcHBJCcnM2/ePJ5XUFAQo0eP5uuvv2bgwIEsX76c6dOn4+joSHl5OS8iNDSUKVOm8NVXX9GzZ0/GjBmDk5MTmzZtwtbWlr+LhYUFS5Ys4fbt2/Ts2ZOJEyfSrVs3IiMjadWqFbNmzWLnzp38XSwsLIiJicHY2JigoCCCgoJwdnZm0KBBaExNTXmWbt26UV5ezvfff09VFRUVTJ8+ndDQUFxcXKhs8uTJ/PLLL7z55pts2LCBJUuWYGRkxNPY2dmxYcMGatSowfDhw/Hx8SEhIYGpU6cyduxYXsTBgwfRzJ49m5CQEEJCQggJCSEkJISQkBAKCwsxNzfniy++oEuXLqxatYphw4axdu1aunfvzqZNmzA1NUXTs2dPZs6cyd69ewkMDOSjjz6iZ8+eLFmyhD+iVatWfP7551y9epXBgwfj5+fH5s2bef/99wkJCUGzYMECOnTowJw5c/Dx8WHo0KFcuXKF2NhY6tati17r1q3x9PQkNDSUfv36cf36daKjo3F1dUVjZ2fHhg0bqFGjBsOHD8fHx4eEhASmTp3K2LFjeRFNmjRh8eLFXL16lcDAQKZMmUL37t158803efz4MXqjRo1i+vTpJCYm0rt3bwYPHkxOTg5ffPEFr732Gi9izJgxXLhwgaFDh3Ly5EkWLFhAhw4dmDNnDj4+PgwdOpQrV64QGxtL3bp10du7dy9CCCGEAAOEEEII8cIcHR3Jzc0lNzeX3NxccnNzycrKYs+ePcyYMYO6detSlZmZGZGRkRw4cIDs7GwOHz5MVFQUzs7O6CUnJ7Ny5Uoqmzt3Lvv376eyoKAgcnNzsbKyQuPq6kpcXByZmZn88MMPREREYGxsTGRkJCdPnmTevHlYWVmRm5vLv/71LyobNGgQubm51KpVC42iKPz73//m0KFDZGVlkZSUROvWrdm9ezdz5szhWTw9PcnNzaVt27boKYrCsGHDSEtL48yZMxw7dozly5fj6uqKXrdu3cjNzaVJkyY8Lzs7O3JzcwkPD6eqadOmkZGRQVXt27cnJSWF06dPs3v3bvz9/TExMWHjxo389NNPDBo0CF9fX3Jzc3F1dUUzbdo0MjIyqOrgwYPMnTsXjaOjI7m5uQwaNAhNt27dyM3NpUmTJlS2aNEi9u7di16jRo2Ii4sjKyuLAwcOMHr0aC5fvoy9vT3m5uY8S5MmTejSpQsrV65EVVUqMzQ0ZNu2bYwYMYKqatSowWeffcYPP/xAcnIyzZs357e88sorrFy5koyMDM6cOUNqairBwcFUFhoaSm5uLkZGRjzLJ598Qm5uLrm5ueTm5pKbm0tubi65ubnk5uZSq1YtNI6OjsycOZN9+/Zx+vRpvv32W2bNmoWDgwOVBQYGkpqaSlZWFj/88AORkZGYmZnxW7p160Zubi5NmjShKi8vL+Lj48nMzOTkyZMkJyczePBg9CwsLPjggw/Yv38/WVlZpKen88UXX9C6dWuqCgkJYd++fZw5c4aUlBQ6duxIZa+88gorV64kIyODM2fOkJqaSnBwMJUlJyezcuVKKnN1dSU3N5e+ffui5+vryzfffMOZM2fYt28fQ4YMYfbs2aSlpVFZYGAgu3btIisri4yMDOLi4vDy8kJv2rRpZGRkUNXBgweZO3cuem+99RYZGRmkp6fTqVMnLCws+OCDD9i/fz9ZWVmkp6fzxRdf0Lp1a/SuXbvGzp07EUIIIQQYIIQQQggh/lbl5eX4+fkxdOhQMjIyuHLlComJiWzdupXAwEB+z3vvvcf169fZvHkzQvxvpKoqH330ER4eHgghhBACDBBCCCGEEH8rY2NjPv/8c2rVqkVoaCh9+vRh3bp1hIWFMWbMGH6Pq6srS5YsYd68eZw6dQoh/rdZsWIFubm5REdHI4QQQggwQAghhBBC/O3q16/PihUrSE9P59SpU6SmpjJy5EiMjY15Hh06dODkyZN4eHgg/t/avXs3UVFRiP9fWFgYBw4cwMHBASGEEEKAAUIIIYQQQgghhBBCiJfGACGEEEIIIYQQQgghxEtjgBBCCCGEEEIIIYQQ4qUxQAghhBBCCCGEEEII8dIYIIQQQgghhBBCCCGEeGkMEEIIIYQQQgghhBBCvDQGCCGEEEIIIYQQQgghXhoDhPgHGjFiBIqiYGxszN27d9HLyspCURQURWH+/PlUlpiYiKIoKIrCwYMH0Xz11VcoioKiKCiKgqIoKIqCoigoisK2bdsYMWIEiqKwd+9efkt+fj7GxsYoisKcOXOoLD4+HkVRUBQFRVEwMDCgRo0a9OnTh9zcXJ4mPj4eRVFQFAVFUTA0NKRevXpMnjyZkpIS/qiJEyeiKApHjhzhz1q8eDE5OTkIIf7HV199haIoKIqCoigoioKiKCiKgqIobNu2jT8qMTGR3bt3o7lz5w6KouDn54cQ4u915coVFEWhY8eOPM3WrVtRFIVFixbxV1JVlQULFvDqq69ibm6OtbU1r7/+Otu3b+ePCgsLQ1EUjh8/zvPIyMggJiYGIf4bHD16FEVR6NmzJ5WVlJRQvXp1ateuzQvp0hcAACAASURBVJMnT/irbN26FUVRWLRoES+DqqqsXLmSFi1aUL16daytrXnjjTdISEjgr/LLL78wc+ZMysrK+KPCwsJQFIXjx48jxH8aA4T4hzIwMEBVVXbs2IHetm3bMDY25mni4+Px8PCgTp06rF+/Hk3Lli2JiooiKiqKPn36oBkwYABRUVFERUXRtGlTntemTZtQVZUePXoQHx/P0/j6+rJ27VpWr15N//792bFjBwMHDuS3dOnShYULF/LRRx/h7OzM4sWLee+993gaVVX5PcOHDycpKQmdTsefcfr0aSZPnkxOTg5CiP/RsmVLoqKiiIqKok+fPmgGDBhAVFQUUVFRNG3alD/i8ePHhIaGsnv3bjRWVlYkJSUxffp0hBD/u7Rt25akpCT69evHXyk6Opr33nuPBg0asHr1aubMmcPVq1fp378/OTk5vAhVVdGMGjWKpKQkGjRowPP4+OOPiYmJQYj/Bm3atKFx48bs27ePe/fuoZeWlkZpaSlvv/02BgYGPC9VVfktbdu2JSkpiX79+vEyTJw4kXHjxvHLL78wevRoxowZw82bNxk0aBDr1q3jr7Bx40ZmzZpFWVkZT6OqKkL8kxkgxD/UkydP8PT05Ouvv0YvOTmZ5s2bU1VhYSEpKSm89dZb9OvXj4SEBH799VcaNWrExIkTmThxIt7e3mg6duzIxIkTmThxIm5ubjyv9evX07FjR0aOHMm5c+c4evQoVTVv3pwRI0YwcuRIYmJicHV1JTs7m4qKCp7l9ddfZ/LkyUydOpVvvvkGU1NTEhMT0YwaNQpFUfjss8+wt7fnyy+/RFVVVqxYwauvvoq5uTmNGzdmyZIlPHnyBM1nn32Gv78/ubm5aDIzM+nYsSNWVlY4OzuzcuVK9AoLCxk2bBhOTk7Y2toyaNAg8vPz2bp1Kx4eHmj8/f0ZMWIEFRUVTJkyhTp16lCtWjUaN27Ml19+iRD/TRo1asTEiROZOHEi3t7eaDp27MjEiROZOHEiVlZWBAUFUaNGDaytrRk7dizl5eVobt++zcCBA7G3t8fc3Jx27dqRnp7OnTt3MDY2Jj8/n6VLl9KgQQPu37+Pv78/H330EZqNGzeiKArLli3D19eX6tWr07JlS7Kzs9GoqsrMmTOpVasWjo6OREdHU6tWLZo2bYoQ4q916NAh/P392bZtG3v37kVRFEaNGoXeli1bUBSFDz/8EM2WLVto2rQpZmZmNG3alO+//56nSU9PRzNjxgyCgoIYP348O3bsYMOGDVhbW6MpLCxk2LBhODk5YWtry6BBg8jPz0fTqFEjGjRowEcffUT16tW5cuUKa9aswd/fnwsXLnDz5k0URWHAgAEEBwdjYWFB/fr1+frrr9G4u7vz9ddfc/LkSRRF4fr166Snp/Pmm29iYWGBra0tAwYMID8/HyH+KYKDgykvL2fnzp3oJSUloQkODqagoICgoCBq1KiBtbU1Y8eOpby8HM2oUaNQFIXPPvsMe3t7vvzyS27fvs3AgQOxt7fH3Nycdu3akZ6ejubQoUP4+/uzbds2NKqqsmLFCl599VXMzc1p3LgxS5Ys4cmTJ2gaNWpEgwYNiI+Px9nZGTs7O6ZOncrTXLlyhejoaGrWrMnJkyeJiorik08+4eTJk3Ts2JFbt26hefDgARMmTKBevXpYWlrSpk0bdu/ejV6jRo1o0KAB8fHxODs7Y2dnx9SpU9GEhYUxfvx4NLa2tsTHxzNq1CgUReGzzz7D3t6eL7/8ElVVWbFiBa+++irm5uY0btyYJUuW8OTJE4T4T2eAEP9gnTt35ptvvuHhw4fcuHGDjIwMOnfuTFWbN2/m0aNHBAQEMHjwYIqKiti5cyd/lbNnz5KRkUFAQAC+vr5YWlqyfv16qnr48CG3bt3i559/JjU1lZ9//pmOHTtiaGjI86hevTqmpqY8ePAAjYmJCZply5YxZ84cvLy8WL16NWFhYXh4eLB161ZatGjBu+++y6pVq6jq3r179OjRgxs3brBv3z6GDh3KuHHjOHr0KJp//etfxMXFMW3aND799FMSExN5++236dy5M+Hh4Wg++eQT3n//feLj41m4cCETJkzg+++/p2XLlkyePJm8vDyEEP8jODiYhIQEYmNjiY2NZe3atURFRaGJjIxk165dxMXFkZaWxsOHDwkLC8PGxobPP/8cTUBAAFu3bqUqExMTNAsXLiQoKIj333+fn376iSlTpqDZtWsXs2bNon79+sTHx3Pw4EHu3LmDiYkJQoiXp3Pnzjg5ObFjxw5UVUWTlJSEJigoiMOHDzN48GAaNmxIeno6zs7O9O/fn5KSEqpq27YtmgEDBjB9+nTS0tLQ6XQEBATg5OSE5l//+hdxcXFMmzaNTz/9lMTERN5++200JiYm3Lp1i++//56lS5diZ2dHZSYmJmi2bdtG9+7d+e677ygvLyc4OJjCwkI2btyImZkZDRs25PDhw9SoUYPBgwdz7949du/eTVxcHPv37+fjjz9GiH+K4OBgFEXh66+/RvP48WN27txJs2bN8PDwIDg4mISEBGJjY4mNjWXt2rVERUWhMTExQbNs2TLmzJmDl5cXkZGR7Nq1i7i4ONLS0nj48CFhYWE8zerVqwkLC8PDw4OtW7fSokUL3n33XVatWoXGxMSEGzdusHv3bmJjY3FycmL+/PkcP36cqr7//nuePHnC4MGDsbW1Rc/Gxob9+/czffp0NCNHjmTZsmUMHz6cr776il9//RU/Pz9OnjyJxsTEhBs3brB7925iY2NxcnJi/vz5HD9+nMmTJ9OuXTs0e/bsoWfPnpiYmKBZtmwZc+bMwcvLi9WrVxMWFoaHhwdbt26lRYsWvPvuu6xatQoh/tMZIMQ/mJ+fH6WlpaSmppKcnIyxsTE+Pj5UtX79eho3boyZmRkuLi7UrFmT+Ph4/irr16/HwMAALy8v7ty5Q6dOndi8eTOPHz+msk8//RQnJydq165Nr169qFOnDlFRUfyWe/fuceXKFc6fP8+HH37I/fv36dy5M5VFREQQGhpKkyZNiImJwcjIiLVr1+Lj40NMTAyKohAbG0tV33zzDfn5+QwbNgxPT09mzpyJkZERsbGxFBYWsmPHDtq1a0dYWBhDhw5l7969hIeHY2tri4uLC5pGjRrxyiuvUFJSgiY9PZ1bt26xfPlyCgoKqFu3LkIIKCgoIC0tjQ4dOuDn58eAAQNo27YtsbGxaEpKSigrK+PHH3+koqKCw4cPc+zYMYyMjHB3d0dTq1YtmjdvzrP069ePwMBApk2bho2NDVlZWWhSUlLQfPDBB/To0YOlS5dSUVGBoigIIV4eAwMDBg0axK1bt0hPT+fXX39l165deHl50bBhQ+Lj41FVlcmTJ+Ph4cGUKVP45Zdf2L59O1WFhoaycuVKHBwcmDdvHj179sTBwYGRI0dSWlpKYWEhO3bsoF27doSFhTF06FD27t1LeHg4qqqiefjwIbGxsYwaNQorKyueplmzZgQHB+Pp6cmQIUMoKSnh4MGDeHh4YGBgQPXq1Xn99dcxMTGhpKSEn3/+mYyMDOrWrcudO3f49NNPEeKfom7dunTs2JHdu3dTWlrKd999x927dwkODqagoIC0tDQ6dOiAn58fAwYMoG3btsTGxlJZREQEoaGhNGnShJKSEsrKyvjxxx+pqKjg8OHDHDt2jKeJiYnByMiItWvX4uPjQ0xMDIqiEBsbi15ZWRlLly6lR48ejBw5Ek1WVhZV3b17F02tWrV4lqKiIjZv3kybNm2YMWMGvr6+zJkzh4qKCuLi4tArKytj6dKl9OjRg5EjR6LJysqiXr162NjYoPH09MTBwQG9iIgIQkNDadKkCTExMRgZGbF27Vp8fHyIiYlBURRiY2MR4j+dAUL8g3l4eNCgQQNSUlLYsWMHnTt3xtramsouXrzI4cOHycnJoW7duri4uHD79m1SUlIoLCzkz1JVlQ0bNvDkyROaNWtG3bp12b59OwUFBezevZvKAgMDSU1NJTU1lQ0bNmBjY4OXlxdHjx7lWaKjo6lfvz6NGjVizpw56HQ6li1bRmUNGzZE79q1a9ja2mJpaYnG2toaCwsLrl+/TlU3b95EM3v2bCwsLLCzs+Px48dcunSJvLw8NE5OTuh16tSJPn36oCgKVQ0fPpxx48axe/du+vbtS82aNXn77bcpKytDCAE3b95Es3//fiwsLLCwsODQoUNcuXIFVVWJioqiR48eLFiwgI4dO1KzZk3mzZvHi3B1dUWjKArW1taUlZWhyc/PR1OnTh00tWrVwtjYGCHEyzdkyBA0ycnJ7NmzhwcPHhAcHIzm5s2baLp164aFhQV+fn5oLl26xNOMHTuWEydOcPfuXVJTU/Hy8mLdunV8+umn5OXloXFyckKvU6dO9OnTB0VR0FSrVo06derwW2rVqoWeg4MDmoKCAp4mMTERJycnJk6cSIsWLahfvz6pqakI8U8SHBxMSUkJaWlpJCUlYWhoyJAhQ7h58yaa/fv3Y2FhgYWFBYcOHeLKlSuoqopew4YN0YuKiqJHjx4sWLCAjh07UrNmTebNm8fTXLt2DVtbWywtLdFYW1tjYWHB9evX0TM3N8fe3h6NjY0NmrKyMqpycHBAc/36daoqLy9Hc+3aNTSurq7o1alTB83169fRMzc3x97eHo2NjQ2asrIyfkvDhg3Ru3btGra2tlhaWqKxtrbGwsKC69evI8R/OgOE+Ifz9/cnLS2N7777jv79+1PV+vXr0axevZodO3awY8cOFi5cyKNHj9iyZQt/1oEDB7h27RphYWHs2LGDHTt2kJycjImJCfHx8VT2yiuv0LNnT3r27MmQIUOYMGECZWVl7Ny5k2d56623SEpKYtu2bRw5coQzZ87g6upKZYaGhui5uLhw9+5diouL0RQWFvLgwQNcXV2pytnZGc2kSZPIzMwkMzOT8+fPExsbi7OzM5qbN2+it337dqKjoykvL6cqExMTli1bRlFREcePH+edd95h48aNbN26FSEEODs7o/H29iYzM5PMzExycnLIyspCU7t2bVJSUrh37x7ffvstzZo14/333ycvL48/y97eHs3PP/+M5ubNm5SXlyOEePnatGmDm5sbKSkpJCcnY2xsTEBAABpnZ2c0GzZsIDMzk1OnTnH+/HlGjx5NZRUVFcyYMYNx48ahqipWVlb07NmThQsXorlw4QLOzs5obt68id727duJjo6mvLwcjaGhIb/n2rVr6OXl5aGpWbMmT/Pmm29y6tQpbt++zZYtWygvLyc8PBwh/kkGDhxI9erV2blzJ7t27aJr1644OTnh7OyMxtvbm8zMTDIzM8nJySErK4vKDA0N0atduzYpKSncu3ePb7/9lmbNmvH++++Tl5dHVS4uLty9e5fi4mI0hYWFPHjwAFdXV15Up06dMDIy4quvvqKgoAC9wsJCdDodgwcPxsXFBU1eXh56V69eRePq6sqfYWhoiJ6Liwt3796luLgYTWFhIQ8ePMDV1RUh/tMZIMQ/XP/+/bl58yaPHj2ib9++VBUfH0/t2rUZNWoUfn5++Pn5MX78eMzNzVm/fj3PKyEhgUWLFrFo0SIWLVrEokWL+PXXX1m/fj2a8PBw/Pz88PPzo0+fPrRv357t27dz//599DIzM1m3bh3r1q1j0aJFzJ49G03r1q15lkaNGtGvXz/69u2Ll5cXhoaG/JYxY8bw+PFjQkND2bNnD6NHj0YzduxYqurWrRsODg58/fXXXL16lW+++Yb+/fuzb98+HBwc6NmzJ4cOHWLlypVs3ryZIUOGEB8fj7GxMWZmZmi2bdtGZmYm77//Pra2tuzcuRNDQ0Nq166NxsLCAiEEODg40LVrV44cOcLx48c5d+4cgYGBLF++HEVR8Pb2plmzZpw4cQIrKyvs7e0xMjKiWrVqmJmZofnhhx/Ys2cPL6pHjx5oZs6cSUpKChMmTMDAwAAhxB+Xl5fHokWLWLRoEYsWLWLRokUcOHCApwkMDOTUqVN8/fXX9OzZEwcHBzSBgYFovvjiC27dukV0dDQBAQHcvHmTygwNDcnOzmblypV0796dqKgoFixYwKhRo9B0794dBwcHevbsyaFDh1i5ciWbN29myJAhxMfHY2xszPM6d+4c8+bNY+vWrWzYsAErKyvat2+PxszMjMuXL5OUlMT58+epUaMGgwcP5tq1a9SqVQtzc3MsLCwQ4p/E0tKSfv36sXXrVq5evUpwcDAaBwcHunbtypEjRzh+/Djnzp0jMDCQ5cuXoygKT+Pt7U2zZs04ceIEVlZW2NvbY2RkRLVq1ahqzJgxPH78mNDQUPbs2cPo0aPRjB07lhdVu3ZtIiMj+eWXX2jevDkTJ05k6tSptGrVisuXL9OpUydsbGwICAjgyJEjLFy4kJSUFGbMmIGJiQnvvPMOz8PMzAzNF198wZUrV3iaMWPG8PjxY0JDQ9mzZw+jR49GM3bsWIT4T2eAEP9wXl5e1KlThzfffJMaNWpQ2aFDh7h48SI+Pj5UZmJiQpcuXTh06BCXLl3ieaxZs4aIiAgiIiKIiIggIiKCoqIitm7dipubG40aNaKyXr16UVpaSmJiInq7du1i5MiRjBw5kg8//BBzc3PWrl1L7969+auMHj2aZcuWcezYMfr160d2djYxMTEMGzaMqqytrUlJScHR0ZG+ffsya9YsOnXqxKBBg9DExcURGBjIzJkzGT58ON26dSMxMRFNnz59aNy4MYmJicTGxvLuu+/i6+vLyJEj8fLyYv369cybN49+/fohhPgf69evp3fv3oSHhxMQEICTkxOTJ09Gs2zZMuzt7fH19aVDhw7k5eWRmJiIo6MjjRs3plevXmRnZzN16lReVL9+/Xj33XfJyclhxIgR9OjRAxMTExRFQQjxx1y6dImIiAgiIiKIiIggIiKCHTt28DRDhgxBU1hYSFBQEHrt2rUjLi6Oc+fO0a1bN3bu3MmIESNo2rQpVcXHxzNlyhSuXLnC+++/z7x58zAxMSE2NpaAgAA0cXFxBAYGMnPmTIYPH063bt1ITEzkRXTt2pULFy4wdOhQHBwc2Lx5M9bW1mjGjx/P48ePmTBhAqqqsnTpUrKzs/H29qZ37964ubmxadMmhPinCQkJ4d69e1hYWODv74/e+vXr6d27N+Hh4QQEBODk5MTkyZN5lmXLlmFvb4+vry8dOnQgLy+PxMREHB0dqWr06NEsW7aMY8eO0a9fP7Kzs4mJiWHYsGH8EXPmzOGLL77A2dmZtWvXsmLFCmrXrs3XX3/N6NGj0axdu5awsDCWLVvG4MGDsba25ptvvqFx48Y8j+HDh+Pg4MDcuXP58ccfeZrRo0ezbNkyjh07Rr9+/cjOziYmJoZhw4YhxH86A4T4B1q3bh2qqmJhYYGiKOTl5XHgwAE0zZs3R1VVIiMjadu2Laqqsm7dOqpKTk5GVVVeeeUVNJMnT0ZVVcLCwqhs3bp1qKqKqqqoqoqqqqiqiqqq1KxZk3v37nHhwgWqmjRpEqqqMmzYMIKCglBVFVVVUVUVVVV5+PAhJ0+eZMSIETxNUFAQqqry0Ucf8SzR0dGoqoqnpyd6iqIQHh7O2bNnefjwIWfOnGH06NHoqapKZa1bt+aHH36guLiY27dvs3TpUqpVq4bG0dGR+Ph48vPzKS4uJikpCWdnZzR169bl7NmzPHjwgGXLlmFvb8/GjRspKCjg119/5eLFi0RGRiLEf6vJkyejqiphYWHo1apVi82bN1NQUMCDBw/Yvn07devWRdOiRQu+++477t+/z8OHD8nIyKBPnz5oDA0N2bVrFyUlJRw/fhwHBwdUVWXnzp1oBg4ciKqqTJ48Gb0rV65w69YtNAYGBkyfPp2LFy9y8+ZNAgMDKSsro0aNGgghXky9evVQVRVVVVFVFVVVUVUVVVVZtGgRAwcORFVVJk+ejF6TJk1QVRVVVRk0aBCVBQcHk52dTWlpKRcuXGDs2LE8jZmZGZ988gnnz5+ntLSUu3fvcuzYMYYNG4aeo6Mj8fHx5OfnU1xcTFJSEs7OzmiysrIoLi6msujoaFRVxdPTEz1DQ0M+++wzHj58yLlz5+jZsyd6M2bM4OHDh1y7do1GjRoRGBjI6dOnKS0tpaioiN27d9OkSRPE/8ceHIV4deD3339/f8H8SIe9sKdLPCHLnqnSD7RC2KmhizLZFcm6IvRQTqGwEhxp6OrF5qqOF6HgBlYbBroXVUtEQmEjbi9kc7obKyJNQONsmqyEMmH9bBw94lUwh2UzDl2H0nme38VAeFjzb/p/sp0439crPWh27tzJ8vIyCwsL/M7v/A4rNmzYwD/90z9x584dFhYW+Od//me+9KUvMXLs2DGWl5fZsmULK77yla/wxhtv8NFHH7G4uMjPfvYz/vRP/5SRP//zP2d5eZm//uu/ZiQi+M53vsPPf/5zFhcXee+99/j2t7/Nirm5Oe7evcuKqakplpeX2b9/P/ezd+9e/u3f/o3FxUU++ugj3nzzTf7sz/6MFV/4whf4+7//e27fvs1HH33Em2++yde+9jVWzM3NcffuXVZMTU2xvLzM/v37GfnmN7/JnTt3uHPnDnv27OHYsWMsLy+zZcsWVkQE3/nOd/j5z3/O4uIi7733Ht/+9rdZcezYMZaXl9myZQspfd4MSA+kt956C0nMz88zcu/ePaanp5mYmGDbtm2cOXOGlP6/3nrrLd58801Gfvd3f5f0YHrrrbeQxPz8PCP37t1jenqaiYkJtm3bxpkzZ0hry5UrV1i/fj27d+/mrbfe4vnnn2dk9+7dpJTSxy0vL5PWnrfeegtJzM/PM3Lv3j2mp6eZmJhg27ZtnDlzhpRSSp9sQHrgLC0tceTIEYqiYMXJkyfp+55Lly5x+vRpjh8/zrVr10jp477//e/z3nvv8Zd/+Zf8wR/8AenBs7S0xJEjRyiKghUnT56k73suXbrE6dOnOX78ONeuXSOtHVu3buUf/uEfuHPnDl/72tf48Y9/zAsvvMD+/ftJKaW0ti0tLXHkyBGKomDFyZMn6fueS5cucfr0aY4fP861a9dIKaV0fwPSA+ell15ix44drF+/nhUXLlzgwIEDjI2NUVUVdV1z/vx5Uvq4H/7wh/zHf/wHp06dIj2YXnrpJXbs2MH69etZceHCBQ4cOMDY2BhVVVHXNefPnyetLfv37+f999/n17/+NfPz8/zN3/wNg8GAlFIa+b3f+z2Wl5f5yU9+QlpbXnrpJXbs2MH69etZceHCBQ4cOMDY2BhVVVHXNefPnyellNL9DUgPlJs3b3LhwgX279/Px3Vdx/j4OCuqqqLrOlJKa8fNmze5cOEC+/fv5+O6rmN8fJwVVVXRdR0ppbXj1VdfZceOHUxMTLBnzx5u3rzJyL1795ienmZiYoJt27Zx5swZUkprx82bN7lw4QL79+/n47quY3x8nBVVVdF1HSmllO5vQHqgHD58mOeff56HH36YFcvLyywtLTEcDlkxHA5ZXFzkN5GEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEqvd4cOHef7553n44YdZsby8zNLSEsPhkBXD4ZDFxUV+E0lIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCRWu/n5eY4ePcqJEyd4++23eeKJJzh8+DAjJ0+epO97Ll26xOnTpzl+/DjXrl3jN5GEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSXweHD58mOeff56HH36YFcvLyywtLTEcDlkxHA5ZXFzkN5GEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKS3pa+2wAAIABJREFUkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUgiPZgGpAfGj370Ix577DG++tWv8nERwXA45O7du6xYWFhgbGyM+7GNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYZsQ2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sc2IbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGObEdvYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29hmxDa2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxzYhtbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNrZZ7X70ox/x2GOP8dWvfpWPiwiGwyF3795lxcLCAmNjY9yPbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxjYjtrGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tRmxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGObEdvYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29hmxDa2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxzYhtbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNrb5PBgOh8zMzCCJhx56iJ07d3Lr1i1GLly4wIEDBxgbG6OqKuq65vz589yPbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxjYjtrGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sY5tf/OIXzM4sMTuzxOzMErMzS8zOLDE7s8TszBKzM0vMziwxO7PE7MwSszNLzM4sMTI7s8TszBKzM0vMziwxO7PE7MwSszNLzM4sMTuzxOzMErMzS8zOLDE7s8QvfvELbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYZsQ2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2GbGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbDNiG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tJLGa/ehHP+Kxxx7jq1/9Kh8XEQyHQ+7evcuKhYUFxsbGuB/b2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbUZsYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9uM2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxjYjtrGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sc2IbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGObEdvYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbJMeXAPSA+PixYu8/vrrbN26la1bt3Lz5k327NnD66+/zvj4ODdu3GDF/Pw8GzduJKW0Nly8eJHXX3+drVu3snXrVm7evMmePXt4/fXXGR8f58aNG6yYn59n48aNpJTWhscff5ynnnqKkYWFBc6cOcP27dsZ6bqO8fFxVlRVRdd1pJQefBcvXuT1119n69atbN26lZs3b7Jnzx5ef/11xsfHuXHjBivm5+fZuHEjKaWU7m9AemAcP36cn/70p1y5coUrV64wPj7O6dOn2b59O7t37+bUqVMsLi5y/fp1zp07x65du1htbLOa2GY1sc1qYZvVxDbp/o4fP85Pf/pTrly5wpUrVxgfH+f06dNs376d3bt3c+rUKRYXF7l+/Trnzp1j165drDa2WU1ss1rYZrWwzWpim/Tf8+KLL7JlyxZu3brFc889x/LyMktLSwyHQ1YMh0MWFxe5H0n8b7DNajI7s8RqYZvVwjariW3+N0hCEqvd8ePH+elPf8qVK1e4cuUK4+PjnD59mu3bt7N7925OnTrF4uIi169f59y5c+zatYvVxjariW1WC9usFrZZTWyT0mdhQFoT9u3bx4YNG5icnGRqaoqDBw+yadMmUkpp3759bNiwgcnJSaampjh48CCbNm0ipbS2HDp0iHfffZenn36avXv3MjIcDrl79y4rFhYWGBsb435sk1L6ZLaxzefZvn372LBhA5OTk0xNTXHw4EE2bdpESiml+xuQHlivvfYaGzduZGTdunUcOXKEq1evcvnyZZqmIaW0dr322mts3LiRkXXr1nHkyBGuXr3K5cuXaZqGlNLace3aNWZnZxl55JFHmJqa4v333+fDDz9kfHycGzdusGJ+fp6NGzeSUlp7XnvtNTZu3MjIunXrOHLkCFevXuXy5cs0TUNKKaVPNiCllFJKKa1Zd+7cYXp6mtu3bzPSti3r16+nKAp2797NqVOnWFxc5Pr165w7d45du3aRUkoppZQ+nQEppZRSSmnNmpycZO/evTzzzDNs2bKFV155hWPHjjEYDNi3bx8bNmxgcnKSqakpDh48yKZNm0gppZRSSp/OgJRSSimltKY9++yzvPHGG7zzzjucPXuWiYkJRtatW8eRI0e4evUqly9fpmkaUkoppZTSpzcgpZRSSimllFJKKaX0mRmQUkoppZRSSimllFL6zAxIKaWUUkoppf+miCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggpZRS+rwbkFJKKaWUUkqfQt9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31aklFJKD4IBKaWUUkoppZRSSimlz8yAlFJKKaWUUkoppZTSZ2ZASimllFJKKaWUUkrpMzMgpZRSSimllFJKKaX0mRmQ0hoQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBGklFJKKaWUUkopjQxIaY3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbipRSSimllFJKKaUVA1JKKaWUUkq/UVF3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXeklFJK6cE1IKWUUkoppfQbuSlxU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmJKWUUkoPrgEppZRSSimllFJKKaXPzICUUkoppZRSSimllNJnZkBKKaWUUkoppZRSSukzMyCllFJKKa1pFy9e5Jvf/CYTExN861vfYn5+npHvf//7/OEf/iGbN29m8+bNbN68mffee4+UUkoppfTpDEgppZRSSmvWBx98wKFDhzh69CjvvPMOTz75JN/97ncZWVhY4NChQ8zNzTE3N8fc3Bx/9Ed/REoppZRS+nQGpJRSSimlNe3o0aN85StfYTAYsHPnTrquY2RhYYEvfOELpJRSSiml/zsDUkoppZTSmvXoo4/yjW98gxVvvvkmTz75JCMfffQRP/nJT/j617/O17/+dY4fP05KKaWUUvr0BqSUUkppVYgIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICFL6uEuXLvHDH/6Q6elpRv74j/+YyclJ/uVf/oWXX36Zs2fP8tprr3E/kkgpfTJJSCKllNLaMiCllFJKq0bfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9WpPRxP/7xj/ne977Hyy+/zKOPPsrIX/3VX7Fv3z4eeeQRfv/3f5+/+Iu/4NKlS9yPbVJKn8w2tkkppbS2DEgppZRSSmvaxYsXOXnyJD/4wQ/48pe/zIqf/exn/PrXv2bFf/7nf/Lwww+TUkppdYgIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICFJK/zMDUkoppZTSmvWrX/2KF154gRMnTvDFL36Rj/u7v/s7Tpw4wX/9139x+/Ztzp49y/bt20kppbR69G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUVK6X9uQEoppbSGRQQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEKa0mFy9e5IMPPmDXrl1s3ryZzZs3s3nzZn75y1/yt3/7t/z7v/87f/Inf8LevXt55pln2L59OymllFJK6dMZkFJKKa1xfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W5HSatM0DbaZm5tjbm6Oubk55ubmWL9+PV/60pf4x3/8R95++23+9V//lX379pFSSimllD69AemB8uqrr7Jjxw4mJibYs2cPN2/eZOTevXtMT08zMTHBtm3bOHPmDCmlteXVV19lx44dTExMsGfPHm7evMnIvXv3mJ6eZmJigm3btnHmzBlSSimllF599VV27NjBxMQEe/bs4ebNm4zcu3eP6elpJiYm2LZtG2fOnCGllNInG5AeGPPz8xw9epQTJ07w9ttv88QTT3D48GFGTp48Sd/3XLp0idOnT3P8+HGuXbvGWlLUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdKa028/PzHD16lBMnTvD222/zxBNPcPjwYUZOnjxJ3/dcunSJ06dPc/z4ca5du0ZKKaWU1q75+XmOHj3KiRMnePvtt3niiSc4fPgwIydPnqTvey5dusTp06c5fvw4165dI6WU0v0NSA+M4XDIzMwMknjooYfYuXMnt27dYuTChQscOHCAsbExqqqirmvOnz/PWuKmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2Jm5KUVpvhcMjMzAySeOihh9i5cye3bt1i5MKFCxw4cICxsTGqqqKua86fP09KKaWU1q7hcMjMzAySeOihh9i5cye3bt1i5MKFCxw4cICxsTGqqqKua86fP09KKaX7G5AeGI8//jhPPfUUIwsLC5w5c4bt27cz0nUd4+PjrKiqiq7rSCmtDY8//jhPPfUUIwsLC5w5c4bt27cz0nUd4+PjrKiqiq7rSCmllNLa9fjjj/PUU08xsrCwwJkzZ9i+fTsjXdcxPj7Oiqqq6LqOlFJK9zcgPXBefPFFtmzZwq1bt3juuedYXl5maWmJ4XDIiuFwyOLiIvcjiZTS/5kkJPF58eKLL7JlyxZu3brFc889x/LyMktLSwyHQ1YMh0MWFxe5H0mklD6ZJCSRUkqfdy+++CJbtmzh1q1bPPfccywvL7O0tMRwOGTFcDhkcXGR+5FESumTSUIS6cE1ID1wDh06xLvvvsvTTz/N3r17GRkOh9y9e5cVCwsLjI2NcT+2SSn9n9nGNp8Xhw4d4t133+Xpp59m7969jAyHQ+7evcuKhYUFxsbGuB/bpJQ+mW1sk1JKn3eHDh3i3Xff5emnn2bv3r2MDIdD7t69y4qFhQXGxsa4H9uklD6ZbWyTHlwD0gPj2rVrzM7OMvLII48wNTXF+++/z4cffsj4+Dg3btxgxfz8PBs3biSltDZcu3aN2dlZRh555BGmpqZ4//33+fDDDxkfH+fGjRusmJ+fZ+PGjaSUUlo9IoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCtLZdu3aN2dlZRh555BGmpqZ4//33+fDDDxkfH+fGjRusmJ+fZ+PGjaSUUrq/AemBcefOHaanp7l9+zYjbduyfv16iqJg9+7dnDp1isXFRa5fv865c+fYtWsXKaW14c6dO0xPT3P79m1G2rZl/fr1FEXB7t27OXXqFIuLi1y/fp1z586xa9cuUkoprS59W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1bkdKdO3eYnp7m9u3bjLRty/r16ymKgt27d3Pq1CkWFxe5fv06586dY9euXaSUUrq/AemBMTk5yd69e3nmmWfYsmULr7zyCseOHWMwGLBv3z42bNjA5OQkU1NTHDx4kE2bNpFSWhsmJyfZu3cvzzzzDFu2bOGVV17h2LFjDAYD9u3bx4YNG5icnGRqaoqDBw+yadMmUkoppbR2TU5OsnfvXp555hm2bNnCK6+8wrFjxxgMBuzbt48NGzYwOTnJ1NQUBw8eZNOmTaSUUrq/AemB8uyzz/LGG2/wzjvvcPbsWSYmJhhZt24dR44c4erVq1y+fJmmaUgprS3PPvssb7zxBu+88w5nz55lYmKCkXXr1nHkyBGuXr3K5cuXaZqGlFJKKaVnn32WN954g3feeYezZ88yMTHByLp16zhy5AhXr17l8uXLNE1D+t9T1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHSml/7kBKaWUUlo1irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuiOllFJKn39uStyUuClxU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClJKf3PDUgppZTSquGmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2Jm5KUUkoppZTSb8eAlFJKKaWUUkoppZTSZ2ZASimllFJKKaWUUkrpMzMgpZRSWuOKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6I6XV6OLFi3zzm99kYmKCb33rW8zPzzNy7949pqenmZiYYNu2bZw5c4aUUkoppfTpDUgp/VZFBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUrp/tyUuClxU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU5LSavPBBx9w6NAhjh49yjvvvMOTTz7Jd7/7XUZOnjxJ3/dcunSJ06dPc/z4ca5du0ZKKa1lEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBSunzb0BK6beubyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2IqWUUvokR48e5Stf+QqDwYCdO3fSdR0jFy5c4MCBA4yNjVFVFXVdc/78eVIq6o6i7ijqjqLuKOqOou4o6o6i7ijqjqLuKOqOou4o6o6i7ijqjqLuKOqOou4o6o6i7ijqjqLuKOqOou4o6o6i7ijqjpRWo76t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq1IKT0YBqSUUkoppTXr0Ucf5Rvf+AYr3nzzTZ588klGuq5jfHycFVVV0XUdKbkpcVPipsRNiZsSNyVuStyUuClxU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipiSllFJ6EAxIKaWUUkrp/3Xp0iV++MMfMj09zfLyMktLSwyHQ1YMh0MWFxdJKaWUUkqfzoCUUkoppbTm/fjHP+Z73/seL7/8Mo8++igRwXA45O7du6xYWFhgbGyM+5FESumTSUISKaWU1pYBKaWUUkppTbt48SInT57kBz/4AV/+8pdZMT4+zo0bN1gxPz/Pxo0buR/bpJQ+mW1sk1JKaW0ZkFJKKaWU1qxf/epXvPDCC5w4cYIvfvGLfNzu3bs5deoUi4uLXL9+nXPnzrFr1y5SSimllNKnMyCllFJKKa1ZFy9e5IMPPmDXrl1s3ryZzZs3s3nzZn75y1+yb98+NmzYwOTkJFNTUxw8eJBNmzaRUkoppZQ+nQEppZRSSmnNapoG28zNzTE3N8fc3Bxzc3OsX7+edevWceTIEa5evcrly5dpmoaUUkrpN4kIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICFL6PBmQUkoppZRSSiml9H+pbyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK1L6vBmQUkoppZRSSimllFL6zAxIKaWUUkoppZTSf1tRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3pJQeDANSSimllFJKq15RdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3pJQ+mZsSNyVuStyUuClxU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuSlJKD4YBKaXfuqLuKOqOou4o6o6i7ijqjqLuKOqOou4o6o6i7ijqjqLuKOqOou4o6o6i7ijqjqLuKOqOou4o6o6i7ijqjqLuKOqOou4o6o6UUkopff65KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2JmxI3JW5K3JS4KXFT4qYkpZRSSv//GpBS+q1zU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2Jm5KUUkoppZRSSin97xmQUkoppZRSSimllFL6zAxIKaWUUkoppZRSSil9ZgaklFJKKaWUUkoppZQ+MwNSSimllFJKKaWUUkqfmQEppZRSSimllFJKKaXPzICUUkop/T/swUHIX1V++P/35wuZL/I0i/Q66IWWuanhfLTzFZwUaUuIzCycmeDiLu6iIAyTMFA4SCwcSFx044wdLS46dBEpIUhhEGdzFpc5tSI5FSeZTZ26GL4FDzWZKy0eLLkGjdEx2Pgj/P8PyGAcnDb65Hk+r5cxxhhjjDHG3DALjDHGGGOMMcYYY4wxN8wCY4wxxhhjjDHGGGPMDbPAbCunT5/m29/+Nvv37+fBBx/k3LlzXPPBBx9w/Phx9u/fz4EDB3j22Wcxxuwsp0+f5tvf/jb79+/nwQcf5Ny5c1zzwQcfcPz4cfbv38+BAwd49tlnMcYYY4w5ffo03/72t9m/fz8PPvgg586d45oPPviA48ePs3//fg4cOMCzzz6LMcaYT7fAbBtvvvkmjzzyCE888QS/+MUvuPfee/n+97/PNSdPnmSeZ86cOcMzzzzDiRMnePXVVzHG7AxvvvkmjzzyCE888QS/+MUvuPfee/n+97/PNSdPnmSeZ86cOcMzzzzDiRMnePXVVzHG7BwffvghTz75JKrKW2+9xaYf/ehH/PEf/zGr1YrVasVqteLf//3fMcZsf2+++SaPPPIITzzxBL/4xS+49957+f73v881J0+eZJ5nzpw5wzPPPMOJEyd49dVXMcYYc30LzLbyxBNP8LWvfY3FYsG3vvUtpmnimhdeeAHvPRsbG3RdR9/3PP/88xhjdo4nnniCr33taywWC771rW8xTRPXvPDCC3jv2djYoOs6+r7n+eefxxizczz88MPccsstLBYLPu7SpUs88sgjrNdr1us16/War371qxhjdoYnnniCr33taywWC771rW8xTRPXvPDCC3jv2djYoOs6+r7n+eefxxhjzPUtMNvGbbfdxje/+U02/fznP+fee+/lmmma2LvoPKejAAAgAElEQVR3L5u6rmOaJowxO8Ntt93GN7/5TTb9/Oc/59577+WaaZrYu3cvm7quY5omjDE7x9GjRzl69Ci/6dKlS+zevRtjzM5z22238c1vfpNNP//5z7n33nu5Zpom9u7dy6au65imCWOMMde3wGxLZ86c4Sc/+QnHjx/no48+4sqVKyyXSzYtl0suX77M9agqxpjfTlVRVW4mZ86c4Sc/+QnHjx/no48+4sqVKyyXSzYtl0suX77M9agqxphPp6qoKjeLu+66i0/yzjvvkFLi61//Ol//+tc5ceIExpid58yZM/zkJz/h+PHjfPTRR1y5coXlcsmm5XLJ5cuXuR5VxRjz6VQVVcVsXwvMtvPTn/6UH/7whzz99NPcdtttiAjL5ZJ3332XTZcuXWJjY4PrKaVgjPntSimUUrhZ/PSnP+WHP/whTz/9NLfddhsiwnK55N1332XTpUuX2NjY4HpKKRhjPl0phVIKN7s/+ZM/4eDBg/zzP/8zTz/9NDFG/umf/gljzM7x05/+lB/+8Ic8/fTT3HbbbYgIy+WSd999l02XLl1iY2OD6ymlYIz5dKUUSimY7WuB2VZOnz7NyZMn+fGPf8xXvvIVNu3du5fz58+z6dy5c9xxxx0YY3aO06dPc/LkSX784x/zla98hU179+7l/PnzbDp37hx33HEHxhjzl3/5lxw5coRbbrmFP/qjP+Iv/uIvOHPmDNejqvxviAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIxnzeVBVV5WZw+vRpTp48yY9//GO+8pWvsGnv3r2cP3+eTefOneOOO+7AGGPM9S0w28bbb7/ND37wA5566im+/OUv83EPPPAAp06d4vLly7z22ms899xzHDp0CGNEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRATz+Xv77bf5wQ9+wFNPPcWXv/xlPu6BBx7g1KlTXL58mddee43nnnuOQ4cOYYwx//Zv/8avf/1rNn344Yd86Utf4npKKfxvzWPHPHbMY8c8dsxjxzx2zGPHPHbMY8c8dsxjxzx2zGPHPHbMY8c8dsxjxzx2zGPHPHbMY8c8dsxjxzx2zGPHPHbMY4cxX4RSCqUUtrq3336bH/zgBzz11FN8+ctf5uMeeOABTp06xeXLl3nttdd47rnnOHToEMYYY65vgdk2Tp8+zZtvvsmhQ4dYrVasVitWqxUXL17kyJEj3H777Rw8eJDDhw9z7Ngx9u3bhzHXzGPHPHbMY8c8dsxjxzx2zGPHPHbMY8c8dsxjxzx2zGPHPHbMY8c8dsxjxzx2zGPHPHbMY8c8dsxjxzx2zGPHPHbMY4f5Ypw+fZo333yTQ4cOsVqtWK1WrFYrLl68yJEjR7j99ts5ePAghw8f5tixY+zbtw9jjPm7v/s7nnrqKa5evcp//ud/EmPkG9/4BsaY7e/06dO8+eabHDp0iNVqxWq1YrVacfHiRY4cOcLtt9/OwYMHOXz4MMeOHWPfvn0YY4y5vgVm2xiGgVIK6/Wa9XrNer1mvV6zZ88edu3axeOPP84rr7zC2bNnGYYBY8zOMQwDpRTW6zXr9Zr1es16vWbPnj3s2rWLxx9/nFdeeYWzZ88yDAPGmJ3j4sWLrFYrVqsVV69e5b777mO1WnHhwgX+9m//ll/+8pf86Z/+Kd/97nf5zne+wze+8Q2MMdvfMAyUUliv16zXa9brNev1mj179rBr1y4ef/xxXnnlFc6ePcswDBhjjPl0C4wxxhhjzI61Z88e1us16/WaUgrr9Zr1es2tt97KH/7hH/KP//iPvPzyy/zLv/wLR44cwRhjjDHGfHYLjDHGmM+RiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigohgjDHGGGOMMV+kBcYYY8znbB475rFjHjvmsWMeO+axYx475rFjHjvmsWMeO+axYx475rFjHjvmsWMeO+axYx475rFjHjvmsWMeO+axYx475rFjHjuMMcYYY4wx5ou2wBhjjDHGGGOMMcYYc8MsMMYYY4wxZoto+ommn2j6iaafaPqJpp9o+ommn2j6iaafaPqJpp9o+ommn2j6iaafaPqJpp9o+ommn2j6iaafaPqJpp9o+ommn2j6CWOMMcaYz8sCY4wxxhhjtogytJShpQwtZWgpQ0sZWsrQUoaWMrSUoaUMLWVoKUNLGVrK0FKGljK0lKGlDC1laClDSxlaytBShpYytJShpQwtxhhjjDGflwXGGGOMMcYYY4wxxpgbZoExxhhjjDHGGGOMMeaGWWCMMcYYY4wxxhhjjLlhFhhjjDHGGGOMMcYYY26YBcYYY4wxxhhjjDHGmBtmgTHGGGOMMcYYY4wx5oZZYIwxxnzOmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafsIYY4wxxnw+mn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafsKYm80CY24AEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRDDG3BzK0FKGljK0lKGlDC1laClDSxlaytBShpYytJShpQwtZWgpQ0sZWsrQUoaWMrSUoaUMLWVoKUNLGVrK0FKGljK0GGOMMcaYz0cZWsrQUoaWMrSUoaUMLWVoKUNLGVrK0FKGljK0lKGlDC1laClDSxlaytBShpYytJShpQwtZWgpQ0sZWsrQUoYWY242C4y5QeaxYx475rFjHjvmsWMeO+axYx475rFjHjvmsWMeO+axYx475rFjHjvmsWMeO+axYx475rFjHjvmsWMeO+axYx475rFjHjuMMcYYY4wxxhhjtqIFxhhjjDHGGGOMMcaYG2aBMcYYY4zZ0T788EOefPJJVJW33nqLTR988AHHjx9n//79HDhwgGeffRZjjDHGGPPZLTDGGGOMMTvaww8/zC233MJiseDjTp48yTzPnDlzhmeeeYYTJ07w6quvYowxxhhjPpsFxhhjjDFmRzt69ChHjx7lN73wwgt479nY2KDrOvq+5/nnn8cYY4wxxnw2C4wxxhhjzI5211138UmmaWLv3r1s6rqOaZowxhhjjDGfzQJjzI7X9BNNP9H0E00/0fQTTT/R9BNNP9H0E00/0fQTTT/R9BNNP9H0E00/0fQTTT/R9BNNP9H0E00/0fQTTT/R9BNNP9H0E8YYY24OH330EVeuXGG5XLJpuVxy+fJljDHm8yQiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIhhjzP+1BcaYHa8MLWVoKUNLGVrK0FKGljK0lKGlDC1laClDSxlaytBShpYytJShpQwtZWgpQ0sZWsrQUoaWMrSUoaUMLWVoKUOLMebmICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAimK1FRFgul7z77rtsunTpEhsbG1yPqmKM+XSqiqpiPpt57JjHjnnsmMeOeeyYx4557JjHjnnsmMeOeeyYx4557JjHjnnsmMeOeeyYx4557JjHjnnsmMeOeeyYx4557JjHjnnsMMaYG2GBMcYYY8wnmMeOeeyYx4557JjHjnnsmMeOeeyYx4557JjHjnnsmMeOeeyYx4557JjHjnnsmMeOeeyYx4557JjHjnnsmMeOeeyYxw6zNe3du5fz58+z6dy5c9xxxx1cTykFY8ynK6VQSsEYY8zOssAYY4wxW4bGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxooxv80DDzzAqVOnuHz5Mq+99hrPPfcchw4dwnwxNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWjDHGGPN/a4Exxhhjto6QIWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGWOuuXjxIqvVitVqxdWrV7nvvvtYrVZcuHCBI0eOcPvtt3Pw4EEOHz7MsWPH2LdvH+YLEjKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFjzFbT9BNNP9H0E00/0fQTTT/R9BNNP9H0E00/0fQTTT/R9BNNP9H0E00/0fQTTT/R9BNNP9H0E00/0fQTTT/R9BNNP9H0E8YYcyMsMMYYY4wxO9aePXtYr9es12tKKazXa9brNbfeeiu7du3i8ccf55VXXuHs2bMMw4AxxnwRytBShpYytJShpQwtZWgpQ0sZWsrQUoaWMrSUoaUMLWVoKUNLGVrK0FKGljK0lKGlDC1laClDSxlaytBShpYytBhjzI2wwJgbpOknmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafsIYY4wxxhhjjDFmK1pgzA1ShpYytJShpQwtZWgpQ0sZWsrQUoaWMrSUoaUMLWVoKUNLGVrK0FKGljK0lKGlDC1laClDSxlaytBShpYytJShpQwtxhhjjDH/1zRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VowxxhizfS0w28qHH37Ik08+iary1ltvsemDDz7g+PHj7N+/nwMHDvDss8+y02isaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorBizFX344Yc8+eSTqCpvvfUWmz744AOOHz/O/v37OXDgAM8++yzGGGP+fyFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyxmw1H374IU8++SSqyltvvcWmDz74gOPHj7N//34OHDjAs88+i/niaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisGGN+dwvMtvLwww9zyy23sFgs+LiTJ08yzzNnzpzhmWee4cSJE7z66qvsKCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyxmxFDz/8MLfccguLxYKPO3nyJPM8c+bMGZ555hlOnDjBq6++ijHGGGN2tocffphbbrmFxWLBx508eZJ5njlz5gzPPPMMJ06c4NVXX8V8QUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkjDG/uwVmWzl69ChHjx7lN73wwgt479nY2KDrOvq+5/nnn8cYs3McPXqUo0eP8pteeOEFvPdsbGzQdR193/P8889jjDHGmJ3t6NGjHD16lN/0wgsv4L1nY2ODruvo+57nn38eY4wx17fAbCt33XUXn2SaJvbu3cumruuYpgljzM5x11138UmmaWLv3r1s6rqOaZowxhhjzM5211138UmmaWLv3r1s6rqOaZowxhhzfQvMtvfRRx9x5coVlsslm5bLJZcvX+Z6VBVjzG+nqqgqN6uPPvqIK1eusFwu2bRcLrl8+TLXo6psNxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaK2ZnUFVUFWOM2W4++ugjrly5wnK5ZNNyueTy5ctcj6qy3WisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorJidQVVRVcz2tcBseyLCcrnk3XffZdOlS5fY2NjgekopGGN+u1IKpRRuViLCcrnk3XffZdOlS5fY2NjgekopbDshQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMmZnKKVQSsEYY7YbEWG5XPLuu++y6dKlS2xsbHA9pRS2nZAhZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZszOUUiilYLavBWZH2Lt3L+fPn2fTuXPnuOOOOzBfDI0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VYz7N3r17OX/+PJvOnTvHHXfcgTHGGGPMJ9m7dy/nz59n07lz57jjjjswxhhzfQvMjvDAAw9w6tQpLl++zGuvvcZzzz3HoUOHMF+QkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlCxphP88ADD3Dq1CkuX77Ma6+9xnPPPcehQ4cwxhhjjPkkDzzwAKdOneLy5cu89tprPPfccxw6dAhjjDHXt8BsGxcvXmS1WrFarbh69Sr33Xcfq9WKCxcucOTIEW6//XYOHjzI4cOHOXbsGPv27cMYszNcvHiR1WrFarXi6tWr3HfffaxWKy5cuMCRI0e4/fbbOXjwIIcPH+bYsWPs27cPY4wxxuxcFy9eZLVasVqtuHr1Kvfddx+r1YoLFy5w5MgRbr/9dg4ePMjhw4c5duwY+/btwxhjzPUtMNvGnj17WK/XrNdrSims12vW6zW33noru3bt4vHHH+eVV17h7NmzDMOAMWbn2LNnD+v1mvV6TSmF9XrNer3m1ltvZdeuXTz++OO88sornD17lmEYMMYYYz6NxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaK+WLs2bOH9XrNer2mlMJ6vWa9XnPrrbeya9cuHn/8cV555RXOnj3LMAwYY4z5dAuMMcYYY4wx5rMIGUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkDHGGGO2gwXGGGOMMcYYY4wxxpgbZoExxhhjjDHGGGOMMeaGWWCMMcYYY8xvuHLlCqrKarVitVqxWq34q7/6K4wxxhhjzGe3wBhjjDHGmN/w9ttvs2fPHtbrNev1mvV6zd///d9jjDHGGGM+uwXGGGOMMZ+g6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ5p+ouknmn6i6SeafqLpJ8zWc+nSJX7v934PY4wxxhjzv7fAGGOMMeYTlKGlDC1laClDSxlaytBShpYytJShpQwtZWgpQ0sZWsrQUoaWMrSUoaUMLWVoKUNLGVrK0FKGljK0lKGlDC1laDFbz6VLl/j1r3/Nd77zHf7sz/6M7373u/zqV7/CGGOMMcZ8dguMMcYYY4z5DRsbG3z961/nr//6r/nZz37GPffcw8MPP4wxxhhjjPnsFhhjjDHGGPMb9u3bx9/8zd9w55138qUvfYmjR4/yq1/9ijfffJPrUVWMMZ9OVVFVjDHG7CwLjDHGGGOM+Q3//d//zX/8x3+w6erVq1y9epVdu3ZxPaUUjDGfrpRCKQVjjDE7ywJjzI6nsaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorFijDHm5vAf//EffO973+O//uu/+J//+R/+4R/+ga9+9av8/u//PsYYY4wx5rNZYIwxIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDLGGGNuDgcOHOC73/0uDz74IH/+53/OL3/5S370ox9hjDHGGGM+uwXGGGOMMcZ8gu9973v87Gc/41//9V85deoUf/AHf4AxxhhjjPnsFhhjjDHGGGOMMcYYY26YBcYYY4wxxhhjjDHGmBtmgTHGGGOMMcYYY4wx5oZZYIwxxhhjzBahsaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorFitgcRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEcEYY4z5rBYYY4wxnzONFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWzPYgIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICOYLEjKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFjto8ytJShpQwtZWgpQ0sZWsrQUoaWMrSUoaUMLWVoKUNLGVrK0FKGljK0lKGlDC1laClDSxlaytBShpYytJShpQwt5ouhsaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorFijDE3wgJjjDHm8xYyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhY4wxxphtIGQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGULG/O40VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFaMudksMMYYY4y5CZShpQwtZWgpQ0sZWsrQUoaWMrSUoaUMLWVoKUNLGVrK0FKGljK0lKGlDC1laClDSxlaytBShpYytJShpQwtZWgxxhhjzO8gZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZQsaYm80CY4wxxhhjjDHGGGPMDbPAGGO2CBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQwxhhjjDHGGGNupAXGGLOFzGPHPHbMY8c8dsxjxzx2zGPHPHbMY8c8dsxjxzx2zGPHPHbMY8c8dsxjxzx2zGPHPHbMY8c8dsxjxzx2zGPHPHbMY8c8dhhjjDHGGGOMMTfaAmNuEI0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0Vsz00/UTTTzT9RNNPNP1E0080/UTTTzT9RNNPNP1E0080/UTTTzT9RNNPNP1E0080/UTTTzT9RNNPNP1E0080/UTTTzT9RNNPGGOMMcYYY4wxN9oCY26UkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlCxmwPZWgpQ0sZWsrQUoaWMrSUoaUMLWVoKUNLGVrK0FKGljK0lKGlDC1laClDSxlaytBShpYytJShpQwtZWgpQ0sZWsrQYowxxpibn8aKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGijHGGPO7WGCMMcYY8wk0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFaMMeZ/JWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGUKGkCFkCBlChpAhZAgZQoaQIWQIGULGGHNzEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARjPk0C4wxxhhjPknIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEjDHGGGOMMdvZAmOMMcYYY4wxxphtpgwtZWgpQ0sZWsrQUoaWMrSUoaUMLWVoKUNLGVrK0FKGljK0lKGlDC1laClDSxlaytBShpYytJShpQwtZWgpQ4sxv80CsyO89NJL3H///dxzzz0cPnyYCxcuYIwx17z00kvcf//93HPPPRw+fJgLFy5gzFaksaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorFi/j8vvfQS999/P/fccw+HDx/mwoULGGPMSy+9xP33388999zD4cOHuXDhAsYYYz7dArPtvfPOOxw7doxHH32Ul19+mTvvvJPHHnsMY7YijRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjRWNFY0VjZWd7p133uHYsWM8+uijvPzyy9x555089thjGLMlhQwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gYeOeddzh27BiPPvooL7/8MnfeeSePPfYYxpid7Z133uHYsWM8+uijvPzyy9x555089thjGLMVaaxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisaKxorGisGPPbLDDb3tmzZ7n77rs5cOAAu3bt4qGHHuLFF1/kypUrGLPlhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMjvd2bNnufvuuzlw4AC7du3ioYce4sUXX+TKlSsYY3a2s2fPcvfdd3PgwHaU47IAACAASURBVAF27drFQw89xIsvvsiVK1cwxuxcZ8+e5e677+bAgQPs2rWLhx56iBdffJErV65gzJYTMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIUPIEDKEDCFDyBAyhAwhQ8gQMoQMIWPMb7PAbHuvv/46Xdexaffu3ezevZs33niDrcYlz1bikmcrccmzVbjk2Upc8pjP7vXXX6frOjbt3r2b3bt388Ybb7DVuOTZSlzybBUuebYKlzxbiUse87t5/fXX6bqOTbt372b37t288cYbbDUuebYSlzxbhUuercIlz1biksd8dq+//jpd17Fp9+7d7N69mzfeeIOtxiXPVuKSZ6twybNVuOTZSlzyGHMjLDDb3vvvv89yueTjlssl7733HtejqqgqqoqqoqqoKqqKqqKqqCqqiqqiqqgqqoqq4pzDJY9LHpc8Lnlc8rjkccnjksclj0selzwueVzyXOOSxyWPSx6XPC55XPK45HHJ45LHJY9LHpc8Lnlc8jjnUFVUFVVFVVFVVBXnHC55XPK45HHJ45LHJY9LHpc8Lnlc8rjkccnjkucalzwueVzyuORxyeOSxyWPSx6XPC55XPK45HHJ45xDVVFVVBVVRVVRVZxzuORxyeOSxyWPSx6XPC55XPK45HHJ45LHJY9LHpc817jkccnjksclj0selzwueVzyuORxyeOSxyWPSx7nHKqKqqKqqCqqiqrinMMlj0selzwueVzyuORxyeOSxyWPSx6XPC55XPJc45LHJY9LHpc8Lnlc8rjkccnjksclj0selzwueZxzqCqqiqqiqqgqqopzDpc8Lnlc8rjkccnjksclj0selzwueVzyuORxyeOS5xqXPC55XPK45HHJ45LHJY9LHpc8Lnlc8rjkccnjnENVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVblZvf/++yyXSz5uuVzy3nvvcT2qiqqiqqgqqoqqoqqoKqqKqqKqqCqqiqqiqqgqzjlc8rjkccnjksclj0selzwueVzyuORxyeOSxyXPNS55XPK45HHJ45LHJY9LHpc8Lnlc8rjkccnjksc5h6qiqqgqqoqqoqqoKs45XPK45HHJ45LHJY9LHpc8Lnlc8rjkccnjksclzzUueVzyuORxyeOSxyWPSx6XPC55XPK45HHJ45LHOYeqoqqoKqqKqqKqOOdwyeOSxyWPSx6XPC55XPK45HHJ45LHJY9LHpc817jkccnjksclj0selzwueVzyuORxyeOSxyWPSx7nHKqKqqKqqCqqiqrinMMlj0selzwueVzyuORxyeOSxyWPSx6XPC55XPJc45LHJY9LHpc8Lnlc8rjkccnjksclj0selzwueZxzqCqqiqqiqqgqqoqq4pzDJY9LHpc8Lnlc8rjkccnjksclj0selzwueVzyXOOSxyWPSx6XPC55XPK45HHJ45LHJY9LHpc8Lnmcc6gqqoqqoqqoKqqKqqKqqCqqiqqiqqgqqoqqoqqoKjez999/n+Vyycctl0vee+89rkdVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVXFOYdLHpc8Lnlc8rjkccnjksclj0selzwueVzyuOS5xiWPSx6XPC55XPK45HHJ45LHJY9LHpc8Lnlc8jjnUFVUFVVFVVFVVBVVxTmHSx6XPC55XPK45HHJ45LHJY9LHpc8Lnlc8rjkucYlj0selzwueVzyuORxyeOSxyWPSx6XPC55XPI451BVVBVVRVVRVVQV5xwueVzyuORxyeOSxyWPSx6XPC55XPK45HHJ45LnGpc8Lnlc8rjkccnjksclj0selzwueVzyuORxyeOcQ1VRVVQVVUVVUVWcc7jkccnjksclj0selzwueVzyuORxyeOSxyWPS55rXPK45HHJ45LHJY9LHpc8Lnlc8rjkccnjksclj3MOVUVVUVVUFVVFVVFVnHO45HHJ45LHJY9LHpc8Lnlc8rjkccnjksclj0uea1zyuORxyeOSxyWPSx6XPC55XPK45HHJ45LHJY9zDlVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVV5Wb1/vvvs1wu+bjlcsl7773H9aj+P/bgP87nOt///+39Ho2ZMYwfE2GYUXk9nYrKR2y0iTA6uBilELIR6x2lMiYpmx/VrGVTQ5QpCfm1RPZ9NMZmVRRla2pl3SvML0MzrB+jYWT2/b28/pjLpUvfOtXumT2delyvDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmH53l44RBeOIQXDuGFQ3jhEF44hBcO4YVDeOEQXjiEFw7hhUN44RA+LxzCC4fwwiG8cAgvHMILh/DCIbxwCC8cwguH8MIhvHAILxzC8zycczjncM7hnMM5h3MO5xye5+GFQ3jhEF44hBcO4YVDeOEQXjiEFw7hhUN44RBeOIQXDuGFQ/i8cAgvHMILh/DCIbxwCC8cwguH8MIhvHAILxzCC4fwwiG8cAjP83DO4ZzDOYdzDucczjk8z8MLh/DCIbxwCC8cwguH8MIhvHAILxzCC4fwwiG8cAgvHMILh/B54RBeOIQXDuGFQ3jhEF44hBcO4YVDeOEQXjiEFw7hhUN44RCe5+GcwzmHcw7nHM45nHN4nocXDuGFQ3jhEF44hBcO4YVDeOEQXjiEFw7hhUN44RBeOIQXDuHzwiG8cAgvHMILh/DCIbxwCC8cwguH8MIhvHAILxzCC4fwwiE8z8M5h3MO5xzOOZxzOOdwzuF5Hl44hBcO4YVDeOEQXjiEFw7hhUN44RBeOIQXDuGFQ3jhEF44hM8Lh/DCIbxwCC8cwguH8MIhvHAILxzCC4fwwiG8cAgvHMILh/A8D+cczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHOanK4j5yYuLi+P06dN8VXl5OXFxcXwTSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCTxf1FcXBynT5/mq8rLy4mLi+ObSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJPF/VVxcHKdPn+arysvLiYuL45tIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQk8X9RXFwcp0+f5qvKy8uJi4vjm0hCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCRhfpqCmJ+8Vq1aceDAAaqVlpZy7tw5mjVrhjHm561Vq1YcOHCAaqWlpZw7d45mzZphjPl5a9WqFQcOHKBaaWkp586do1mzZhhjfr5atWrFgQMHqFZaWsq5c+do1qwZxhhjvl0Q85PXpUsX9u/fz44dOzh37hwLFy6kV69eREdHY4z5eevSpQv79+9nx44dnDt3joULF9KrVy+io6Mxxvy8denShf3797Njxw7OnTvHwoUL6dWrF9HR0Rhjfr66dOnC/v372bFjB+fOnWPhwoX06tWL6OhojDHGfLsg5icvPj6eJ598kunTp9OxY0eKi4uZMmUKxhgTHx/Pk08+yfTp0+nYsSPFxcVMmTIFY4yJj4/nySefZPr06XTs2JHi4mKmTJmCMebnLT4+nieffJLp06fTsWNHiouLmTJlCsYYY/57QczPwrXXXktubi55eXlkZ2fToEEDjDHGd+2115Kbm0teXh7Z2dk0aNAAY4zxXXvtteTm5pKXl0d2djYNGjTAGGOuvfZacnNzycvLIzs7mwYNGmCMMea/F8QYY4wxxhhjjDHGGFNjghhjjDHGGGOMMcYYY2pMEGOMMcYYY4wxxhhjTI0JYowxxhhjjDHGGGOMqTFBjDHGGGOMMcYYY4wxNSaIMcYYY4wxxhhjjDGmxgQxxhhjjDHGGGOMMcbUmCDGGGOMMcYYY4wxxpgaE8QYY4wxxhhjjDHGGFNjghhjjDHGGGOMMcYYY2pMEGOMMcYYY4wxxhhjTI0JYowxxhhjjDHGGGOMqTFBjDHGGGOMMcYYY4wxNSaIMcYYY4wxxhhjjDGmxgQxxhhjjDHGGGOMMcbUmCDGGGOMMcYYY4wxxpgaE8QYY4wxxhhjjDHGGFNjghhjjDHGGGOMMcYYY2pMEGOMMcYYY4wxxhhjTI0JYowxxhhjjDHGGGOMqTFBjDHGGGOMMcYYY4wxNSaIMcYYY4wxxhhjjDGmxgQxxhhjjDHGGGOMMcbUmCDGGGOMMcYYY4wxxpgaE8QYY4wxxhhjjDHGGFNjghhjjDHGGGOMMcYYY2pMEGOMMcYYY4wxxhhjTI0JYowxxhhjjDHGGGOMqTFBjDHGGGOMMcYYY4wxNSaIMcYYY4wxxhhjjDGmxgQxxhhjjDHGGGOMMcbUmCDGGGOMMcYYY4wxxpgaE8QYY4wxxhhjjDHGGFNjghhjjDHGGGOMMcYYY2pMEGOMMcYYY4wxxhhjTI0JYowxxhhjjDHGGGOMqTFBjDHGGGOMMcYYY4wxNSaIMcYYY4wxxhhjjDGmxgQxxhhjjDHGGGOMMcbUmCDGGGOMMcYYY4wxxpgaE8QYY4wxxhhjjDHGGFNjghhjjDHGGGOMMcYYY2pMEGOMMcYYY4wxxhhjTI0JYowxxhhjjDHGGGOMqTFBjDHGGGOMMcYYY4wxNSaIMcYYY4wxxhhjjDGmxgQxxhhjjDHGGGOMMcbUmCDGGGOMMcYYY4wxxpgaE8QYY4wxxhhjjDHGGFNjghhjjDHGGGOMMcYYY2pMEGOMMcYYY4wxxhhjTI0JYowxxhhjjDHGGGOMqTFBjDHGGGOMMcYYY4wxNSaIMcYYY4wxxhhjjDGmxgQxxhhjjDHGGGOMMcbUmCDGGGOMMcYYY4wxxpgaE8QYY4wxxhhjjDHGGFNjghhjjDHGGGOMMcYYY2pMEGOMMcYYY4wxxhhjTI0JYowxxhhjjDHGGGOMqTFBjDHGGGOMMcYYY4wxNSaIMf+CTz/9lNtvv52LLrqI2rVr07JlS8aOHUtpaSn/E/7yl7/w7LPPUtPGjh1LIBAgEAgQCAQIBAIEAgECgQCBQIATJ07wr7jiiiuIj4/Ht3btWgKBAHPmzKGm3XXXXQQCAQKBAMFgkIYNG5KamsrmzZupaePHjycQCLB7927+r1m3bh05OTmYn4f8/HwCgQCBQIBAIEAgEKBJkybcdtttFBUV8X2MHz+eQCDA7t27+Sbjx48nEAiwe/dujh49SiAQoG/fvnyXtWvXEggEmDNnDt9k7dq1BAIB5syZw49djx49CAQCnD59GmN+DCKRCL/73e+47LLLqFOnDgkJCfziF79g48aNfF+rVq2iWbNmxMTEsGrVKo4dO8a0adM4e/YsPxbLly8nEAjwyCOP8E3Wrl1LIBBgzpw5/G85evQogUCAvn37YowxxvxUBTHmn3TgwAE6derEypUr+cUvfsHkyZPp2LEjixYt4rrrruPMmTP8q5544gmeffZZatptt93G3LlzmTt3Lpdddhm+Bx98kLlz5zJ37lxiY2P5vywUCjF79mwGDRrE22+/Te/evXn22Wcx/3/nz5/n7rvvJicnB/PzcvHFFzN79mxmzZpFt27d+MMf/kBaWhqRSIT/SfXq1WP9+vU88sgj/Ks6d+7M+vXrSUtLwxjzw8yfP58HH3yQSy+9lOeee46ZM2dSUFDAzTffzL59+/g+nnvuOQ4fPsyrr75Kjx49WLFiBdOnT+fs2bPUlH/84x/8T+rcuTPr168nLS2N/y316tVj/fr1PPLIIxhjjDE/VUGM+Sc99thjHD9+nMcff5wNGzYwffp01q5dy9NPP43neRw4cID58+cTCARYvnw51WrVqkWHDh3wVVVVkZGRQVJSEjExMbRp04aXXnoJ3xVXXMErr7zChx9+SCAQoLi4mPLyciZMmEBKSgp169alY8eO5OTkUM3zPC699FKeffZZGjVqxEUXXcQrr7zC008/TcOGDWnRogV/+tOf+Lru3btz3333cd9999GqVSt8w4YN47777uO+++7j3LlzTJgwgZSUFOrWrUvHjh3JycmhWnl5ORMmTCAlJYW6devSsWNHcnJy+O8cO3aM3r17ExcXxzXXXMO+ffuotnXrVq699lrq1q1Ly5Ytufvuuzl58iS+W265hWAwyNtvv41vxowZBAIBnn32Wb7NzTffzMSJE1m4cCHvvfcetWvXJiMjg/Lycnxr1qyhbdu2xMbG0rZtW95880181113HYFAgEOHDlHtsssuo06dOpw+fZqysjKGDRtG48aNSUhIIBQK8eWXX/JNysvLmTBhAikpKdStW5eOHTuSk5ODr6SkhEAgwC233MLw4cOJj4+nVatWvPLKK/hKSkoIBAKMHDmS0aNHExcXx+WXX87HH3/MiBEjiIuL45prrqGwsBDf+fPnefTRR2nVqhWxsbGkpqZSXFyMb8WKFQQCAbKysujTpw9xcXG0b9+evXv3cvToUS644AJKS0t5+umnufTSSzE/Hy1atCA9PZ2MjAxWrVpFp06deP/99zl48CADBw4kEAhQXFyMb/v27QQCAdLT0/mq3bt3c8UVV1C3bl0GDhxIeXk5X3fq1CkGDBjAY489hq+qqoqMjAySkpKIiYmhTZs2vPTSS3zVmTNnuPnmm6lTpw7t27dn7969+N5++20GDBjAhg0b8I0ZM4ZAIMDGjRtp164dderUoX///pw+fRrfvn376Ny5M3FxcVx//fU8+uijBAIB1q1bxzfZs2cPPXr0ICEhgWbNmvHQQw9RVVWF78CBA6SlpdG4cWMSExPp27cvkqj2xz/+kdatWxMfH8/o0aOJRCJ8VV5eHjfccAP16tWjefPmLFiwAGP+nXbt2oVv6tSpDBs2jHvvvZc//vGPvPzyyyQkJOA7cOAAaWlpNG7cmMTERPr27YskfNdddx3btm3D17t3bwYPHsy9996Lr0GDBvz+978nEAjwm9/8Bl9ubi6BQICkpCSqXXLJJXTu3BnfrFmzSE5OJjY2lquvvpo33ngDX0lJCYFAgDvvvJN+/frRunVrfHl5edxwww3Uq1eP5s2bs2DBAv4Zb7/9NgMGDGDDhg34qqqqePzxx7n00kupU6cO1113Hbt378Z3/vx5Hn30UVq1akVsbCypqakUFxfjW7FiBYFAgKysLPr06UNcXBzt27dn7969+KqqqsjIyCApKYmYmBjatGnDSy+9hO/UqVMMGDCAxx57DN+YMWMIBAJs3LiRdu3aUadOHfr378/p06fxnTp1isGDB5OQkEDr1q3Jzs4mEAhwzz33YIwxxvxYBTHmn7Rt2zZ8oVCIr7rnnnsIh8NcfvnlfJfly5cze/ZsJkyYwJtvvkn79u1JT0+nqKiIFStWEBsbS+vWrXnnnXdo3Lgxo0ePJisri1GjRrFq1SoqKyvp27cvH374Ib7o6GgOHTrERx99xNy5cyktLWXMmDH89a9/Zf78+Rw+fJgJEybwQ40ePZqsrCxGjRrFqlWrqKyspG/fvnz44Yf4Ro8eTVZWFqNGjWLVqlVUVlbSt29fPvzwQ77N4sWLGTJkCNOnT2f37t2MHDkS3549e0hNTeXMmTOsXLmSX//61yxcuJC77roLX3Z2Nk2bNmXMmDF89NFHPPHEE/Tr14+xY8fyfbRp04a+fftSXl7Orl27eOeddxg8eDCtW7dm165dNG/enJtvvpmKigpuv/12fBs3bsQnib/97W8MGDCA+Ph4hg8fzh/+8AcWL17M4sWLyc7OZu7cuXyT0aNHk5WVxahRo1i1ahWVlZX07duXDz/8kOjoaHwbNmygV69ebNu2jS+//JLhw4fz97//nejoaHzr1q3jqquuIhQKsXfvXrp168b/+3//jwkTJrB7925mzZqFb86cOcyYMYNRo0axbds2/va3vzFmzBh80dHR+GbPns2wYcOYMmUKH3zwARkZGdSvX58XX3wR36BBg1i7di3m56tBgwb4ysvL+b5eeOEFHnvsMQYMGMC6devIzMzkuyxfvpzZs2czYcIE3nzzTdq3b096ejpFRUVUy87O5pprrmH48OF88MEHZGRk8E2io6PxzZo1i1mzZtGnTx82btzIs88+i2/48OHs3LmTzMxMxo4dy/z58/FFR0fzdV988QWpqal8/PHHLFmyhNtvv53f/va3/Pa3v+XMmTP06NGDN954gzlz5vDUU0+xY8cOevXqRUVFBUePHmXw4MGUl5ezfPlykpOTefPNN6l28uRJUlNTOXToEFu3bmXEiBGMGzeOd999F2P+XTp37ozvlltu4ZFHHmHz5s045xg0aBBNmzblzJkz9OjRgzfeeIM5c+bw1FNPsWPHDnr16kVFRQWLFi2iXbt2+LZv387vfvc7unTpgm/Lli2MGDGCpKQk3n33XXxbt26lWbNmHDp0iE8++YSjR49y4MABunfvzrp165g8eTLdunVjy5YtHD58mFtvvZVIJEJ0dDS+DRs20LRpU2bOnMnJkydJTU3l0KFDbN26lREjRjBu3Djeffdd/lVPP/00jzzyCD169GDNmjUUFRWRmppKeXk5c+bMYcaMGYwaNYpt27bxt7/9jTFjxuCLjo7GN3v2bIYNG8aUKVP44IMPyMjIwLd8+XJmz57NhAkTePPNN2nfvj3p6ekUFRXxddHR0fhmzZrFrFmz6NOnDxs3buTZZ5/FN2PGDFavXs2tt95KVlYWCxYswBcdHY0xxhjzYxXEmH/S8ePHqV27Ng0aNOCfVVFRgW/Xrl0cOXKEefPmUVZWRosWLWjXrh3BYJC4uDh+8YtfUFFRwerVq+nYsSNTp06lT58+zJw5k6qqKpYuXUq1s2fPkpmZyR133EGbNm04duwYmZmZ3H777bRr145PPvmESCTC93XixAlWr15Nx44dmTp1Kn369GHmzJlUVVWxdOlSTpw4werVq+nYsSNTp06lT58+zJw5k6qqKpYuXcq3GThwICNGjGDSpElcffXVvPPOO5w8eZLnn3+e8+fPk5mZSd++fXn44Ye5+uqrWbt2LeXl5TRs2JClS5eyd+9efvnLX9KgQQNeeOEFfojmzZvjO378OMuXLycSiZCenk67du3IyMjg2LFjbNy4kdtuu41atWrx6quv4lu3bh2+YcOGUVZWxubNm+natSt9+/bllltuoXPnzixevJivO3HiBKtXr6Zjx45MnTqVPn36MHPmTKqqqli6dCnVrrzySoYPH06HDh24/fbbqaio4K233qLaJZdcwrhx43jwwQfxXXjhhdx777089NBD+Pbt24dv2bJlxMTE8NBDD9GpUyd+9atfkZOTw+HDh6mWlpbGkCFDePjhh6lfvz579uyhVq1aXHHFFfguuugirrrqKszPx9mzZ8nPz+fgwYOsXr2arVu30qRJEy677DK+r4yMDNLS0pg3bx6+1157je9SUVGBb9euXRw5coR58+ZRVlZGixYtqNa7d28eeughnnnmGerWrcuePXv47zzwwAPcdNNNTJkyBd+ePXsoLS1l9+7dXHPNNUyYMIHbb7+dW2+9FV8gEODrNm/eTElJCaNHj2bAgAFkZmayYcMGunbtyubNmzl48CBjxozhjjvuYNiwYdx5550UFhby+uuvs3XrVioqKhg5ciRpaWk88sgjtG7dmmq5ubmU2mekvAAAIABJREFUlpZy55130qFDB6ZNm0atWrVYvHgxxvy73H333SxYsIDExEQyMzPp3bs3iYmJjB49mjNnzrB582YOHjzImDFjuOOOOxg2bBh33nknhYWFvP7661x22WXUrVsXX6dOnWjfvj3169fH16FDBxITE7nhhht477338L3++usMGjSIRo0asXXrVt555x183bt3JzU1lcOHD/Pcc89x3XXX0aVLF8rKyigpKaFao0aNWLRoEbfffju5ubmUlpZy55130qFDB6ZNm0atWrVYvHgx/6olS5YQHR3NU089RZ8+fQiHw7zwwgtUVlaybNkyYmJieOihh+jUqRO/+tWvyMnJ4fDhw1RLS0tjyJAhPPzww9SvX589e/bgq6iowLdr1y6OHDnCvHnzKCsro0WLFnybBx54gJtuuokpU6bg27NnD75NmzYRFRXFU089xU033cSDDz6ILxAIYIwxxvxYBTHmn5SYmEhlZSVHjx7lq/7xj3/wj3/8g+9j1KhRjBs3jpycHPr370+TJk0YOnQoZ8+e5esKCwvxJScnUy0pKQlfcXEx1erUqUNCQgK+evXqERUVxYUXXoivXr16nD9/nqqqKr6vwsJCfMnJyVRLSkrCV1xcTGFhIb7k5GSqJSUl4SsuLubbJCcnU61p06b4ysrKKCwsxJecnEy1pKQkfMXFxfhuvPFGrrrqKk6dOsWgQYO48MIL+SEOHjyIr2nTppSUlODr2bMn8fHx9O3bF9+BAwdITEykZ8+e/PnPf+bUqVO88sorNGnShJ49e1JSUoLvz3/+M/Hx8cTHx/P222+Tn59PJBLhqwoLC/ElJydTLSkpCV9xcTHVLrroIqolJibiKysro1qzZs3w1atXD1/Tpk3x1atXD19lZSW+kpISKisrSUhIID4+nlmzZhGJRDh48CDVkpOT8QUCARISEjh79izm523Xrl20atWKiy++mMGDBxMXF8fy5cu54IIL+L6Sk5PxJSQkEBcXR1lZGd9l1KhRjBs3jpycHPr370+TJk0YOnQoZ8+epVrr1q3xRUVF0bBhQ86ePct/Jzk5GV/9+vXxnT17ltLSUnxJSUlUa9myJd+mqKgIX9OmTfFdcMEF9O/fn+uuu47CwkJ8ycnJVEtKSsJXXFxMaWkpvqZNm1ItKSmJaiUlJfhmzJhBfHw8DRs25Pz58xw4cABj/p1CoRDvv/8+x48f57XXXqNTp048//zzPPXUUxQWFuJLTk6mWlJSEr7i4mK+j27duvH3v/+d9957j/fff59u3bpx/fXXs3XrVnbu3ElMTAydO3emsLCQIUOG0LhxY2rXrs2GDRvwffnll1Rr3bo11UpKSvDNmDGD+Ph4GjZsyPnz5zlw4AD/qqKiIurXr09MTAy+tm3bkpaWRmJiIiUlJVRWVpKQkEB8fDyzZs0iEolw8OBBqiUnJ+MLBAIkJCRw9uxZfKNGjWLcuHHk5OTQv39/mjRpwtChQzl79izfJjk5GV/9+vXxnT17Fl9paSkJCQnEx8fja9myJcYYY8yPXRBj/kk9e/bEN2/ePL7qySefJDk5ma1bt1K7dm18J0+exHfo0CGqqqqoFh0dTVZWFidOnGD37t2MHDmSFStWsHbtWr6uZcuW+IqKiqhWUFCALzk5mZrSsmVLfEVFRVQrKCjAl5ycTMuWLfEVFRVRraCgAF9ycjLf5tChQ1Q7dOgQviZNmtCyZUt8RUVFVCsoKCAQCNCyZUt8ixYt4oMPPqBt27YsXLiQvLw8vq+PPvqI1157jUaNGtGpUyeaN2+O7+WXXyYvL4+PPvqITz/9lF//+tf4hgwZwrlz51iyZAl/+ctfGDJkCFFRUTRv3hzfL3/5S/Ly8sjLy2Pfvn3s2bOHr2vZsiW+oqIiqhUUFOBLTk6mWmFhIdWKiorwNWnShB+qefPmxMXFkZeXR15eHh9//DGffvopV111FcZ8m8svv5z169ezfv16tm7dSnFxMT169MBXu3ZtfCdPnsRXUFDANzl06BC+48ePU1FRQZMmTfgu0dHRZGVlceLECXbv3s3IkSNZsWIFa9eupVogEOBf1ahRI3yHDx+mWn5+Pt+mefPm+EpKSqi2cOFC1qxZQ8uWLfEVFRVRraCgAF9ycjKJiYn4Dh8+TLWCggKqNW/eHN/9999PXl4eeXl5fPrppyxevBhj/h2qqqqYOnUq48aNIxKJUK9ePXr37s3s2bPxffbZZ7Rs2RJfUVER1QoKCvAlJyfzfdxwww345s6dSyAQoGvXrnTv3p0333yTXbt20blzZ2JiYrjnnnvYtm0bW7ZsobKykl69evF1UVFRVGvevDm++++/n7y8PPLy8vj0009ZvHgx/6rmzZtz/Phxzpw5g+8vf/kL8+fPJz8/n+bNmxMXF0deXh55eXl8/PHHfPrpp1x11VV8l+joaLKysjhx4gS7d+9m5MiRrFixgrVr1/JDNWrUiFOnTlFRUYEvPz8fY4wx5scuiDH/pIcffpgmTZowY8YM+vXrx6OPPsptt91GRkYGcXFxdOzYkcsvvxxfdnY2W7duJT09ndq1axOJRPBNmTKFBg0aEA6HiYqKolmzZvji4+PxxcbGcvDgQdavX08gEGDQoEHs3LmT2bNns2nTJqZOnUp0dDQjR46kptSvX59Bgwaxc+dOZs+ezaZNm5g6dSrR0dGMHDmS+vXrM2jQIHbu3Mns2bPZtGkTU6dOJTo6mpEjR/JtVq1axZo1a3jyySf58MMP6dq1K3Xr1mXUqFHUqlWLhx9+mM2bNzN9+nQ++ugjhg8fTp06dfjss8944IEH6Nu3L9u2baN+/foMGzaMs2fP8m3+8Ic/MGfOHMaPH891111HVVUV8+bN44ILLmDIkCH4lixZwpEjR5g/fz6DBg2ipKQE34ABA4iNjWXGjBn4hg8fji8xMZEePXqwc+dOdu/ezSeffMKQIUOYN28egUCAr6pfvz6DBg1i586dzJ49m02bNjF16lSio6MZOXIk1T755BMyMzNZu3YtL7/8MvXq1eP666/nhxoyZAhffPEFy5Yto6SkhIkTJzJ27FgCgQDfJTY2Ft/27dvZsmUL5ucjMTGRtLQ00tLS6NatG3Xq1KHa5Zdfju+3v/0tW7ZsISsrC18kEuGrZs2axebNm7n//vvx9evXj+8yZcoUGjRoQDgcJioqimbNmuGLj4/nf1LTpk1p164dO3fu5Omnn2bp0qWsW7eOb9OrVy8aN25MdnY2GzduZObMmdx99928//77pKam0qpVK7Kzs1mzZg1Lly5lyZIleJ7HjTfeSPfu3YmJieGFF17g1VdfZdq0aRQUFFCtZ8+eJCYm8sorr1BQUEBubi4333wzW7duxZh/h6ioKPbu3cuCBQvo1asXc+fO5Xe/+x1jxozB16tXL1JTU2nVqhXZ2dmsWbOGpUuXsmTJEjzP48Ybb+SbxMbG4luyZAn5+flcfPHFtGzZknXr1nHNNddQr149unXrxueff85bb71F9+7d8VVUVOArLCzkxRdf5IMPPsD39ttvU1VVxdf17NmTxMREXnnlFQoKCsjNzeXmm29m69atfJudO3cyZ84c5syZw5w5c5gzZw6fffYZXzds2DC+/PJLHnjgATZv3swdd9zBlClTiIuLY8iQIXzxxRcsW7aMkpISJk6cyNixYwkEAnyXKVOm0KBBA8LhMFFRUTRr1gxffHw8P1Rqairnz5/n3nvvJRwOM2vWLIwxxpgfuyDG/JOaN2/Oe++9x5133sn7779PZmYm77zzDmPHjmXHjh3Ex8fTuXNnHnjgAfLz8xk+fDh9+vShSZMmVFZW4ps4cSJ9+vRh9OjRdOrUiWXLlpGZmUlaWhq+e++9l/PnzzNhwgQ+//xzsrOzGT9+PFlZWQwePJiEhARyc3Np06YNNSk7O5vx48eTlZXF4MGDSUhIIDc3lzZt2uDLzs5m/PjxZGVlMXjwYBISEsjNzaVNmzZ83ZdffokvFArxzDPP8Mgjj9ClSxdeeOEFfG3btuW1116jVq1a3HLLLbz44os88MADLFiwgKqqKoYPH04gEGDBggU0bNiQp556io8//piHHnqIb7No0SImTZrE0qVL6dChA5s3b2bIkCH4unTpwtKlS/nkk0/o2bMn4XCYu+66i7Zt2+KLj4+nX79+HDt2jP/4j/+gffv2VFu2bBn9+vXjnnvuYdCgQTRt2pT09HS+SXZ2NuPHjycrK4vBgweTkJBAbm4ubdq0oVqPHj347LPPGDFiBImJiaxevZqEhAR+qEmTJjF58mRefPFFUlNTOXz4MFOnTiU2Npbv0qZNG/7zP/+TvXv38tBDD2GM7+677+amm25i3bp1PPDAA0yePBlfZWUlvi+//BLfXXfdxT333MP69esZOnQokyZN4rtMnDiRPn36MHr0aDp16sSyZcvIzMwkLS2N/2kvvfQSV155JZMnT2bZsmWMGDECXyAQ4Ovq1atHTk4Obdq0YdiwYcyfP5/777+fmTNnEhsby5YtW+jSpQt333036enp9OzZk82bN1O7dm0aN27MkiVLiImJYfjw4Rw7doybbroJX2VlJQkJCWzatIkLL7yQ/v37M336dLp168Ztt92GMf8uy5cvJyMjg/z8fKZMmUJmZibR0dEsXryYQYMGERsby5YtW+jSpQt333036enp9OzZk82bN1O7dm2+yahRo0hMTOTxxx9nx44d+Lp168a5c+fo3r07vssvv5wmTZpw7tw5unfvju/xxx/n4osv5o477uC1117j1VdfpXHjxowbN44vvviCr0tISGDTpk1ceOGF9O/fn+nTp9OtWzduu+02vs3rr7/OpEmTmDRpEpMmTWLSpEns2bOHr5s4cSK/+c1veO211+jfvz9169bltddeo3HjxkyaNInJkyfz4osvkpqayuHDh5k6dSqxsbF8l4kTJ9KnTx9Gjx5Np06dWLZsGZmZmaSlpfFDTZs2jX79+rFy5UoefPBBRo4ciS8QCGCMMcb8WAUx5l/QokULFi9ezKFDhzh37hxFRUUsWLCAxMREqv3+97/nxIkTHDp0iGHDhlFQUMCePXvwNWrUiBUrVlBWVkZlZSX79+9n8uTJVJs6dSpffPEFhYWFeJ5H3bp1mTdvHkVFRZw6dYodO3bQtWtXqu3Zs4fTp09TbefOnZw/f55q27ZtIxKJUKtWLb5NOBwmEolwxRVXUK1u3brMmzePoqIiTp06xY4dO+jatSvV6taty7x58ygqKuLUqVPs2LGDrl27Um3Pnj2cPn0a35AhQ4hEIkybNo033niDiooKtm/fziWXXEK1Hj16sHPnTk6fPk1+fj6///3vqVOnDlFRUbzzzjuUl5fTokULfEOGDCESiTB37ly+7vnnnycSiRCJRIhEIpw6dYqtW7fSs2dPvmr48OHs3buXM2fO8NlnnxEKhfiq1atXE4lE2Lt3L1910UUXsXr1asrKyigvL2fjxo20aNEC3/z584lEInTo0AFf3bp1mTdvHkVFRZw6dYodO3bQtWtXvioqKooXXniBL774gk8++YTevXvjS0xMJBKJEA6H8cXExBCJRPjTn/5EtUgkwvbt2/FFR0eTmZlJYWEhZ86c4d1336Vr1674Bg4cSCQSIT09nWr5+fkcOXIEX1RUFP/1X/9FRUUFu3fvxvz0paSkEIlE2LZtG9+mfv36bNq0iYqKCv76178yYMAAIpEI8+fPx/fcc88RiUS46667+OSTTzh58iTLly+nTp06+ObPn08kEqFDhw4kJiYSiUQIh8P4GjVqxIoVKygrK6OyspL9+/czefJkfAMHDiQSiZCenk61/Px8jhw5gm/gwIFEIhHS09PxzZ8/n0gkQocOHfClpKQQiURYtWoVvrZt2/Lqq69y5swZtmzZQlRUFL7GjRvzTa6++mq2bdvGqVOn+Pzzz3nyySe54IIL8F1yySW8+uqrHD16lNLSUtauXUtKSgrVBg0aREFBAadOnWLevHmsX7+eSCRCo0aN8F1zzTVs376d06dP8/nnn/P0008TExODMf8usbGxzJo1i08//ZQzZ85w/Phx3nvvPe68806qXXLJJbz66qscPXqU0tJS1q5dS0pKCtW2b99OJBKhVq1a+Hr37k1ZWRllZWUMHToU35IlS4hEIjz++ONUO3LkCJFIhGuvvRZf9+7d2b9/PxUVFaxZs4ZOnTrx+eefc/z4cS6++GIikQjhcJivuuaaa9i+fTunT5/m888/5+mnnyYmJoavGzZsGJFIhEgkQiQSIRKJEIlEiEQipKWlMXDgQCKRCOnp6fguuOACpk+fTn5+PmfPnmXnzp106dIFX3R0NJmZmRQWFnLmzBneffddunbtim/gwIFEIhHS09Oplp+fz5EjR/A1atSIFStWUFZWRmVlJfv372fy5Mn4EhMTiUQihMNhfPPnzycSidChQwd8KSkpRCIRVq1aha9hw4Y899xzHDt2jI8//phLL70UX+PGjTHGGGN+rIIYY8yPRCQSwdS8Xbt24Zxj//79+CorK8nIyKB9+/Z06dKFlStXYn6abrrpJpKTk3n++efZsmULK1asoGXLlrRt2xbz87ZhwwZuvPFG2rdvz9ChQzl48CC+yspKMjIyaN++PV26dGHlypUY87/tiSeeoFmzZtx///3s3LmTOXPmEBUVRWpqKsYYY8yPVRDzk7JhwwZuvPFG2rdvz9ChQzl48CC+yspKMjIyaN++PV26dGHlypUYY35+zp07xxNPPEGjRo2otmjRIo4dO8Zbb73Fyy+/zDPPPMO+ffswPz0vvPAC/fr1Y+LEidx6661cdtll/PGPfyQmJgbz87V//34yMzNZsGAB7733HldeeSXTpk3Dt2jRIo4dO8Zbb73Fyy+/zDPPPMO+ffsw5n9Teno699xzD+vXr6d79+4cP36cNWvW0K5dO4wxxpgfqyDmJ2P//v1kZmayYMEC3nvvPa688kqmTZuGb9GiRRw7doy33nqLl19+mWeeeYZ9+/ZhzI9BYmIikUiEcDiMqVnPPfccN954Iw0aNKBabm4uoVCIOnXqkJKSQv/+/cnJycH89LRo0YKNGzdy8uRJTpw4wZYtW2jXrh3m56127drMnj0b5xxRUVGkpqZSUFCALzc3l1AoRJ06dUhJSaF///7k5ORgzP+m6OhosrKyOHLkCBUVFeTl5XHzzTdjjDHG/JgFMT8ZtWvXZvbs2TjniIqKIjU1lYKCAny5ubmEQiHq1KlDSkoK/fv3JycnB2PMz8fBgwfJzc1l7NixfFV+fj6tWrWiWkpKCvn5+Rhjfh6SkpK4/vrr8ZWXl7Ny5Uq6deuGLz8/n1atWlEtJSWF/Px8jDHGGGPMDxPE/GQkJSVx/fXX4ysvL2flypV069YNX35+Pq1ataJaSkoK+fn5fBPnHM45nHM453DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHM45nHM453DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHM45nHM453DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHM45nHM453DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHM45nHM453DO4Zzj/2MPjmP9Kuj7/z/fH1Puuo5szQlpzzLCqW32qnCd4dpGJ9a0Q1oaZs6Ws8SII22nMSMRZpbRujkTIYGCNbAltn80pDFBBiZ04wysyG6krtSaeW2Y+UDuS9p6GMlio0eE2zZwg/38cv+4ifEn7stGpdy+Hw9JSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhibeCz33uc3zmM5/hoosuYt5oNGJ2dpaxsTHmjY2Ncfr0aX4ZSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJN4q7rrrLtasWcNzzz3HzTffzGg0YnZ2lrGxMeaNjY1x+vRpfhlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkUkopXTgGpAXnrrvuYs2aNTz33HPcfPPNjEYjZmdnGRsbY97Y2BinT5/mV7GNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vMsY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sM8c2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW2+//3vc2TXLEd2zXJk1yxHds1yZNcsR3bNcmTXLEd2zXJk1yxHds1yZNcsR3bNcmTXLEd2zTLnyK5Zjuya5ciuWY7smuXIrlmO7JrlyK5Zjuya5ciuWY7smuXIrlmO7JrlyK5Zvv/972Mb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxjZzbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvbzLGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vMk8T57F/+5V/43d/9Xd773vfy8yKCsbExTp06xbyZmRmWLFnCa7GNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYZo5tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sY5s5trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sc0c29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2GaObWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGObObaxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2OatZMeOHTz11FNcc801bNmyhTljY2OcOnWKeTMzMyxZsoTXYhvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trHNHNvYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNnNsYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjmzm2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxzRzb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxjZzbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxTUoppQvLgLTg7Nixg6eeeoprrrmGLVu2MGdsbIxTp04xb2ZmhiVLlvBabJNS+p/Zxjbnu8nJSZ544gne97738b73vY8f/OAHfPSjH+WJJ55gxYoVnDhxgnnHjx9n5cqVpJQuDNPT0xw5coQ5ixcvZuvWrTz77LP8+Mc/ZsWKFZw4cYJ5x48fZ+XKlaSUUkoppddnQFowpqenOXLkCHMWL17M1q1befbZZ/nxj3/MihUrOHHiBPOOHz/OypUrOd/Y5nxim/PJkV2znC9scz6xTXptu3fv5tvf/jbf+ta3+Na3vsWKFSu4//772bBhA9dddx333nsvp0+f5tixYxw4cIDNmzdzvrHN+cQ25wvbnC9scz6xTfrVfvSjH7F9+3aef/555rRty9KlSymKguuuu457772X06dPc+zYMQ4cOMDmzZs539jmfGKb84Vtzhe2OZ/YJqWUUvp1GZAWjB/96Eds376d559/njlt27J06VKKouC6667j3nvv5fTp0xw7dowDBw6wefNmUkpp27ZtLF++nHXr1rF161ZuueUWVq1aRUrpwrBu3Tq2bNnCDTfcwJo1a/jyl7/MF7/4RQaDAdu2bWP58uWsW7eOrVu3csstt7Bq1SpSSimllNLrMyAtGOvWrWPLli3ccMMNrFmzhi9/+ct88YtfZDAYsG3bNpYvX866devYunVhyNt0AAAgAElEQVQrt9xyC6tWrSKldGH66le/ysqVK5mzaNEi7rjjDo4ePcqTTz5J0zSklC4sH//4xzl48CBTU1Ps37+fiYkJ5ixatIg77riDo0eP8uSTT9I0DSmllFJK6fUbkBaUj3/84xw8eJCpqSn279/PxMQEcxYtWsQdd9zB0aNHefLJJ2mahpRSSimllFJKKaV07g1IKaWUUkoppZRSSimdMwNSSimllFJKKaWUUkrnzICUUkoppZRSSimllNI5MyCllFJKKaWUUkoppXTODEgppZRSSimllFJKKZ0zA1JKKaWUUkoppZRSSufMgJRSSimllM4DEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBSimllNKvw4CUUkoppZTOE31b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVuRUkoppfTrMiCllFJKKaWUUkoppXTODEgppZRSSimllFJKKZ0zA1K6AEQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBCmllFJKKaWUUkpzBqR0gejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKlFJKKaWUUkoppXkDUkoppZRSSv8/EUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBSimllBamASmllFJKKaVfqm8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibytSSimltHANSCmllFJKF7TJyUmuvfZaJiYmuP766zl+/Dhz7rnnHi6//HLGx8cZHx9nfHycp59+mpRSSiml9PoMSAvK5OQk1157LRMTE1x//fUcP36cOffccw+XX3454+PjjI+PMz4+ztNPP825EhFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQppZRSen1OnjzJjh072LlzJ1NTU6xdu5Zbb72VOTMzM+zYsYPhcMhwOGQ4HHLFFVeQUkoppZRenwFpwTh58iQ7duxg586dTE1NsXbtWm699VbmzMzMsGPHDobDIcPhkOFwyBVXXMG51LcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W9G3FX1b0bcVfVvRtxV9W5FSSiml/52dO3dy5ZVXMhgM2LRpE13XMWdmZoaLL76Y9OaLCCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAhSSiml9MYZkBaUnTt3cuWVVzIYDNi0aRNd1zFnZmaGiy++mJRSSimln7ds2TI2btzIvMOHD7N27VrmvPTSSzz66KOsX7+e9evXs3v3btKbp28r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibytSSiml9MYakBaMZcuWsXHjRuYdPnyYtWvXMuell17i0UcfZf369axfv57du3eTUkoppfTzDh06xIMPPsj27duZ8+53v5t169bxta99jX379rF//36++tWvci4VdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R0oppZTSr8uAtCAdOnSIBx98kO3btzPn3e9+N+vWreNrX/sa+/btY//+/Xz1q1/ltUginTtF3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQd6dyRhCRSSumt7pFHHuH2229n3759LFu2jDmf+MQn2LZtG4sXL+btb387H/7whzl06BCvRRL/V25K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2JmxI3JW5K3JS4KUnpzSAJSaSUUrqwDEgLziOPPMLtt9/Ovn37WLZsGXM+8YlPsG3bNhYvXszb3/52PvzhD3Po0CFei23SueOmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2JmxI3JencsY1tUkrprWxycpK9e/dy3333cdlllzHvu9/9Li+//DLzXn31VS666CJei21SSr+abWyTUkrpwjIgLSiTk5Ps3buX++67j8suu4x53/3ud3n55ZeZ9+qrr3LRRReRUkoXuoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIIKXzyYsvvshtt93Gnj17uOSSS/h5d999N3v27OHs2bM8//zz7N+/nw0bNpBSSimllF6fAWnBePHFF7ntttvYs2cPl1xyCT/v7rvvZs+ePZw9e5bnn3+e/fv3s2HDBlJKKUHfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9W9G1F31b0bUXfVvRtRd9WpHS+mZyc5OTJk2zevJnx8XHGx8cZHx/nhRde4M477+R73/se73nPe9iyZQs33HADGzZsIKWUUkopvT4D0oIxOTnJyZMn2bx5M+Pj44yPjzM+Ps4LL7zAnXfeyfe+9z3e8573sGXLFm644QY2bNhASimllC5sTdNgm+FwyHA4ZDgcMhwOWbp0KZdeeilf+tKX+M53vsM3vvENtm3bRkoppZRSev0GpAWjaRpsMxwOGQ6HDIdDhsMhS5cu5dJLL+VLX/oS3/nOd/jGN77Btm3bSCmllFJKKaWUUkrn3oCUUkoppZRSSimllNI5MyCllFJKKaWUUkoppXTODEgppXRBePjhh7n66quZmJjgox/9KD/4wQ+Y88orr7B9+3YmJia46qqreOCBB0gppZRSSiml9MYZkFJKacE7fvw4O3fuZM+ePXznO9/hXe96F5/73OeYs3fvXvq+59ChQ9x///3s3r2b6elpUkoppZRSSim9MQakdI4UdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3pJRe29jYGLt27UISb3vb29i0aRPPPfcccx5//HFuvPFGlixZQlVV1HXNY489RkoppZRSSimlN8aAlM4RNyVuStyUuClxU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClJKb223/u93+MDH/gAc2ZmZnjggQfYsGEDc7quY8WKFcyrqoqu60gppZRSSiml9MYYkNIFoqg7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDtSOl/dddddrFmzhueee46bb76Z0WjE7OwsY2NjzBsbG+P06dO8FkmklH41SUgivfUVdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R0oppZQWrgEpXSDclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVOS0vlqx44dPPXUU1xzzTVs2bKFOWNjY5w6dYp5MzMzLFmyhNdim5TSr2Yb26S3PjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclKSUUkpp4RqQUkppwZuenubIkSPMWbx4MVu3buXZZ5/lxz/+MStWrODEiRPMO378OCtXriSllFJKKaWU0htjQEoppQXvRz/6Edu3b+f5559nTtu2LF26lKIouO6667j33ns5ffo0x44d48CBA2zevJmUUkoppZRSSm+MASmllBa8devWsWXLFm644QbWrFnDl7/8Zb74xS8yGAzYtm0by5cvZ926dWzdupVbbrmFVatWkVJKKaWUUkrpjTEgpZTSBeHjH/84Bw8eZGpqiv379zMxMcGcRYsWcccdd3D06FGefPJJmqbhQlPUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdRd1R1B1F3VHUHUXdUdQdKaWUUkoppQvPgJRSSukC56bETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbkl8lIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICJIKb11FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdRdxR1R1F3FHVHUXcUdUdKKaWU3lgDUkoppXTe6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24qU0luLmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2JmxI3JW5KUkoppfTGGpBSSimllFJKKaWUUjpnBqQFZXJykmuvvZaJiQmuv/56jh8/zpxXXnmF7du3MzExwVVXXcUDDzxASimllNKcyclJrr32WiYmJrj++us5fvw4c1555RW2b9/OxMQEV111FQ888AAppZRSSun1G5AWjJMnT7Jjxw527tzJ1NQUa9eu5dZbb2XO3r176fueQ4cOcf/997N7926mp6dJKaWU0oXt5MmT7Nixg507dzI1NcXatWu59dZbmbN37176vufQoUPcf//97N69m+npaVJKKaWU0uszIC0oO3fu5Morr2QwGLBp0ya6rmPO448/zo033siSJUuoqoq6rnnsscdIKaWUUtq5cydXXnklg8GATZs20XUdcx5//HFuvPFGlixZQlVV1HXNY489RkoppZRSen0GpAVj2bJlbNy4kXmHDx9m7dq1zOm6jhUrVjCvqiq6riOllFJKF7Zly5axceNG5h0+fJi1a9cyp+s6VqxYwbyqqui6jpRSSiml9PoMSAvSoUOHePDBB9m+fTuj0YjZ2VnGxsaYNzY2xunTp0kppZRSmnfo0CEefPBBtm/fzmg0YnZ2lrGxMeaNjY1x+vRpXoskUkq/miQkkVJK6cIyIC04jzzyCLfffjv79u1j2bJlRARjY2OcOnWKeTMzMyxZsoTXIomU0v9MEpJIKaW3ukceeYTbb7+dffv2sWzZMiKCsbExTp06xbyZmRmWLFnCa7FNSulXs41tUkopXVgGpAVlcnKSvXv3ct9993HZZZcxb8WKFZw4cYJ5x48fZ+XKlbwW26SU/me2sU1KKb2VTU5OsnfvXu677z4uu+wy5q1YsYITJ04w7/jx46xcuZKUUkoppfT6DEgLxosvvshtt93Gnj17uOSSS/h51113Hffeey+nT5/m2LFjHDhwgM2bN5NSSimlC9uLL77Ibbfdxp49e7jkkkv4eddddx333nsvp0+f5tixYxw4cIDNmzeTUkpvJklIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkkjp/9WAtGBMTk5y8uRJNm/ezPj4OOPj44yPj/PCCy+wbds2li9fzrp169i6dSu33HILq1atIqWUUkoXtsnJSU6ePMnmzZsZHx9nfHyc8fFxXnjhBbZt28by5ctZt24dW7du5ZZbbmHVqlWklNKbzTa2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2tknp9RiQFoymabDNcDhkOBwyHA4ZDocsXbqURYsWcccdd3D06FGefPJJmqYhpZRSSqlpGmwzHA4ZDocMh0OGwyFLly5l0aJF3HHHHRw9epQnn3ySpmlIKaWUUkqv34CUUkopnTeKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6I6WUUkoppfTrMSCllFJK5w03JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2JmxI3JW5K3JSklFJKC0FEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEUQEEUFEEBFEBBFBRJBSSgNSSimllFJKKaW3sL6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq3o24q+rejbir6t6NuKvq34eT/84Q9529vexqpVq1i1ahWrVq1i1apV/M3f/A3nylNPPcUzzzxDSunNNSCllFJKKaWUUkq/FkuXLuXYsWMcO3aMY8eOcezYMb7whS9wLpw9e5aHHnqIZ555hpTSm2tASimllFJKKaWU3lRHjx7lne98J7Ozs8zOzjI+Ps7U1BSf/exn+fM//3P+7M/+jKuvvpqbb76ZOWfOnGHr1q1cc801vP/97+eee+5hzr//+7+zefNmPvjBD7Jjxw727dvH7bffzte//nVSSm+eASmllFJKKaWUUnpTTUxM8Kd/+qfcdddd3HnnnTRNw5o1a3jb297Gf//3f/PQQw8xOTnJN7/5TaampvjHf/xHfv/3f59/+7d/45vf/Cb33XcfzzzzDBdddBHf+ta3+MpXvsKuXbv4oz/6Iz7zmc+wadMmUkpvngEppZRSSimllFL6tfjpT3/K6tWrWb16NatXr2b16tU8/vjjzPnsZz/LgQMH+NrXvsbf//3fM+8DH/gAcyKCK6+8kqeffprDhw/zla98hfXr13P11VczOzvL8ePHmfOOd7yDoihIKZ0/BqSUUkoppZRSSunX4nd+53eYnp5menqa6elppqen2bhxI3NefvllXn75Zc6cOcOZM2eYd/bsWeb97Gc/YzAYEBHceuutHDx4kIMHDzIcDvnQhz7EnN/4jd8gpXR+GZBSSimllFJKKaU33V//9V/zyU9+kptuuolPfepTzDt48CBnz57l1VdfZWpqij/4gz/g/e9/P//8z//MnJ/97Gd88pOf5MUXX+QXDQYDXnnlFVJKb64BKaWUUkoppfT/KCKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiSGkh+elPf8rq1atZvXo1q1evZvXq1WzatInHH3+cY8eO8Rd/8Rd87GMfo+s6HnnkEeZceuml/Mmf/Anve9/7+OM//mPe9a53cdNNNzEYDFi3bh1XXXUVZVny27/92/yiDRs28Ld/+7f80z/9EymlN8+AlFJKKaWUUnod+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tqJvK/q2om8r+raibyv6tiKlhWT58uW8+uqrTE9PMz09zfT0NNPT03z9619n48aNPPHEE0QEEcETTzzBhz70Iea8853v5F//9V/5j//4D3bt2sWc3/zN3+RLX/oShw4d4tvf/jaf+cxnmPPe976XgwcPMm/btm3813/9F9dffz0ppTfPgJRSSimllFJK6S2sqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO4q6o6g7irqjqDuKuqOoO1JKac6AlFJKKaWUUkrpLWo0GjEajRiNRoxGI0ajEaPRiNFoxGg0YjQaMRqNGI1GjEYjRqMRo9GI0WjEaDRiNBoxGo0YjUaMRiNGoxGj0YjRaMRoNGI0GjEajRiNRoxGI0ajEaPRiNFoxGg0YjQaMRqNGI1GjEYjRqMRo9GI0WjEaDRiNBrxf/G5z32OT3/606SU3toGpJRSSimllFJKKaWUzpkBKaWUUkoppZRSSimlc2ZAWlBeffVVPv/5zyOJn/zkJ8y75557uPzyyxkfH2d8fJzx8XGefvppUkoXjsnJSa699lomJia4/vrrOX78OHNeeeUVtm/fzsTEBFdddRUPPPAAKaULy6uvvsrnP/95JPGTn/yEeffccw+XX3454+PjjI+PMz4+ztNPP01KKZ1PIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKClFIakBaUm2++mcWLFzMYDPh5MzMz7Nixg+FwyHA4ZDgccsUVV5BSujCcPHmSHTt2sHPnTqampli7di233norc/bu3Uvf9xw6dIj777+f3bt3Mz09TUrpwnHzzTezePFiBoMBP29mZoYdO3YwHA4ZDocMh0OuuOIKUkrpfOOmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgpcVPipsRNiZsSNyVuStyUuClxU+KmxE2JmxI3JW5K3JS4KXFT4qbETYmbEjclbkrclLgp+UUvvPACH/vYx7j00kuRxJo1a2jbljfDww8/zJkzZ/jfeOqpp3jmmWf4RQ899BAXX3wxq1evZvXq1axatYq/+7u/443w8MMPc+bMGeYsX76cOT/96U85cOAAc+68807+4R/+gZTORwPSgnLTTTdx00038YtmZma4+OKLSSlduHbu3MmVV17JYDBg06ZNdF3HnMcff5wbb7yRJUuWUFUVdV3z2GOPkVK6cNx0003cdNNN/KKZmRkuvvhiUkopvXE+8pGP8Fu/9VucOHEC2+zdu5e//Mu/ZGpqil+3L3zhC5w5c4b/jYceeohnnnmGX+bqq69menqa6elp/vM//5PJyUkefvhhft7Zs2d5vb7whS9w5swZ5vzwhz9kztTUFAcOHGDOpz/9aT71qU9xLpw9e5aU/i8GpAXlHe94B7/MSy+9xKOPPsr69etZv349u3fvJqV04Vi2bBkbN25k3uHDh1m7di1zuq5jxYoVzKuqiq7rSCldON7xjnfwy7z00ks8+uijrF+/nvXr17N7925SSin9701NTfHss89y9913s2jRIuZMTExw9OhR3v3ud3Pq1Ck+8pGPsGHDBv7wD/+Qu+++mzmHDx/mmmuu4a/+6q/44Ac/yNb/jz24D7arqg///14HwwWTOI0HlN1qvycS94fI1aYgkhASEi+JZKBzOt1O8QEkgUHdpUmcNYTCaB1aFKlOb8qMD8gAQhkRrKvtgS1CZJkA1xJ5KmUOyofHbVEWYA4Rk2iSCXf/5v5xf5NxBAsqhOTzei1fzj//8z+zfPly3vOe9/DMM88QY+S4447jlFNOodvtcsIJJ/Dzn/+cCevWreO4445j6dKlnHDCCdR1zVe/+lXuvvtuTj75ZFJKrFu3juOOO46lS5dywgknUNc1E5YsWcKnP/1pPv7xj3PkkUfyta99jTvuuIMrrriCz372s9x88828mKlTp3Lsscfy4IMPctttt7Fs2TKOP/54LrnkEp5++mmWLl3KokWLePe7383XvvY1JmzdupUPfOADHHvssRx99NHcdtttfPWrX+Xuu+/m5JNPJqXEAQccwLZt2/jEJz7BDTfcwBe+8AXOP/98LrroIibccMMNzJs3j5GREZYuXUpd10x485vfzIUXXshpp53GEUccwb333suExx57jGXLlrF06VIWLFhAjJEJ733ve/Hec8QRR2DM76KF2ScceeSRLFiwgO985ztcccUVhBD49re/jTFm33P77bdz7bXXcs4559A0DTt37mRoaIhJQ0NDbNu2jRciIhhjXpyIICK81h155JEsWLCA73znO1xxxRWEEPj2t7/NCxERjDEvTkQQEcy+6YEHHuA973kP++23H7vLsgznHGvXruVNb3oT69evZ/369XzlK1/hhz/8Ifvttx/3338///RP/8S6devo9XqICFdeeSVHHXUUN9xwA/vttx//8z//w1e+8nhNXToAACAASURBVBV6vR5vf/vbueyyy9i2bRurVq3i+uuvZ926dZx55pmce+65fOxjH+Oggw7iuuuu4w1veAOrVq3i+uuvZ926dZx55pmce+65TNhvv/2YMmUKl1xyCddeey0XXXQR8+bN473vfS+f/OQned/73seLefbZZ7nllls4+uij2X///fmv//ovrrvuOv7mb/6GJ554gjPOOIMNGzYQY8R7T9M0XHzxxXQ6HcbGxvjiF7/I5Zdfzsc+9jEOOuggrrvuOrIsY8LUqVP5xCc+wV/8xV+wZs0aJm3dupUzzzyTEAIxRv76r/+av/u7v2PCc889x4IFC7jqqqsoy5KvfvWrTCjLkr//+79n3bp1fPOb3+T000+naRr2339/Xv/613PfffdhzO+ihdknfPSjH2XFihUceOCBvO1tb+Pkk0/m9ttv54WICMaY305EEBFeK2644QY++9nPcsUVV/DmN78Z5xxDQ0Ns3bqVSVu2bGHq1Km8EFXFGPPiVBVV5bXuox/9KCtWrODAAw/kbW97GyeffDK33347L0RVMca8OFVFVTH7pl27drFr1y5eyA9+8AOWLl3KhAMOOIC5c+dyzz33MOEd73gHBxxwAK1Wi3a7zZ//+Z8z4eCDD+bnP/85E+bMmcP06dOZcOSRR/LAAw/wox/9iJQS3W6XRYsWsXbtWn72s5+xux/96EeklOh2uyxatIi1a9fys5/9jEnz5s1jQpZlPPvss/w269evZ86cOcyZM4clS5ZQliWLFy9mwuzZs2m320x4y1vewrp163j/+9/Pxz72MbZu3cqOHTu44447OO6445hw1FFHcdVVV/FSPPjgg7z1rW/lj//4j5mwePFi7r77bibNmzePCVmW8eyzzzLh+9//Pueddx6LFi3igx/8IFOmTGHTpk1MOPbYYzHmd9XC7BPuuecetm/fzqRdu3ax//7780JUFWPMb6eqqCqvBbfccguXXnopV199Nf/v//0/Js2cOZPHHnuMSY8++iiHHnooxhhzzz33sH37dibt2rWL/fffH2OMMS/Pn/3Zn7Fx40Z27NjB7u655x6eeuopmqZhd03T0Gq1mLDffvuxu/32249JTdMwYXx8nEnPP/88rVYL5xwzZ85kw4YNbNiwgbGxMWKM7M45x8yZM9mwYQMbNmxgbGyMGCOTXve61zGpaRp+m8WLF3Pfffdx3333cc8991CWJZMOOOAAJp177rnMnDmTb33rW1x11VU455jQNA3j4+O8XE3TsLumaWi1Wkx63etex6SmaZjQarXo9Xps2LCBDRs28Mgjj3DwwQcz4YADDsCY31ULs08YHR3ly1/+MuPj4zzxxBOEEFi8eDHGmH3Dc889xz/+4z/y5S9/mYMPPpjdnXjiiVx22WVs27aNRx55hBtvvJFly5Zh9m3OOZxzOOdwzuGcwzmHcw7nHM45nHM453DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcw+x5RkdH+fKXv8z4+DhPPPEEIQQWL16MMcaYl+fd7343eZ5TliW//OUvmXDPPffwV3/1Vzz55JMcc8wxxBiZsH37djZu3MhRRx3F/9V9993H5s2bmXDHHXfwrne9i9mzZ5NS4qGHHmLCzTffzJVXXsmEVqvFjh07mD17NiklHnroISbcfPPNXHnllbyYVqvFjh07+F0888wzvP3tb2fC1VdfjXOOnTt3cswxx3DzzTcz4aGHHmLZsmVMaLVa7Nixg921Wi127NjB7t7xjnfw05/+lKeffpoJMUbmzp3Li5k/fz7//u//zoSf/vSnnH322Rjz+9TC7DU2b97M8PAww8PDjI+Ps3DhQoaHh9m0aRMXXXQR999/P0cffTSnnXYap556KosXL8YYs2+45ZZbePrpp1m2bBnDw8MMDw8zPDzM5s2bWbFiBYcccggLFixg+fLlrFmzhlmzZmHMoNdh0Osw6HUY9DoMeh0GvQ6DXodBr8Og12HQ6zDodRj0Ogx6HQa9DoNeh0Gvw6DXYdDrMOh1GPQ6DHodBr0Og16HQa/DoNdh0Osw6HUwr57NmzczPDzM8PAw4+PjLFy4kOHhYTZt2sRFF13E/fffz9FHH81pp53GqaeeyuLFizHGGPPy/cd//Af7778/eZ5z6KGHsnr1aq6++mqOOOIIVq9ezVNPPcWSJUs4/vjjOfvss8nznP+rd73rXZx11lksXryYJ598ktNPP53Xv/71XH311XzkIx9hZGSEz33ucxx77LFMWLJkCUuXLuXxxx/n6quv5iMf+QgjIyN87nOf49hjj+XFLF68mPPOO49rrrmGl2v16tVccMEFLFmyhPHxcU466SROP/10Vq9ezTPPPMP8+fM55ZRTOO+885iwZMkSli5dygMPPMCk97znPXz7299mzZo1TJo6dSqXXnopRVHwvve9jxtuuIGLLrqIF/PFL36Ra665hve+970URcGiRYsw5vephdlrzJgxg36/T7/fR1Xp9/v0+30OOugg3vrWt3LllVdy11138b3vfY8VK1ZgzATnHM45nHM453DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHM45nHM453DOYV55RVGgqvT7ffr9Pv1+n36/z4wZM5gyZQoXXngh9957L2NjYxRFgTFm3zFjxgz6/T79fh9Vpd/v0+/3Oeigg3jrW9/KlVdeyV133cX3vvc9VqxYgTHG7IkkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCR+3Rve8AYuueQSfvKTn/Doo48yNjbGwoULmTBt2jSuueYavvvd7zI2NsbHP/5xJsydO5dbbrmFSY888giHHHIIE84//3zOPvtsJkybNo1rrrmG9evXc+ONNzJ9+nQmLF26lI0bNxJjZMOGDcyaNYsJl19+OQ888ACHH344S5cuZePGjcQY2bBhA7NmzWLCTTfdxKJFi5gwbdo0Nm3axIQVK1bwv//7v3zoQx9id+9///v5z//8T36TuXPnsmHDBia9733vo9/v893vfpePfvSjhBD41re+xbRp07j22mv5/ve/z5133snChQuZcPnll/PAAw9w+OGHs337diYMDw/z5JNP8oUvfIHzzz+fc889lwknnXQSY2Nj3HzzzVRVxZ/8yZ8wYfv27Uw66aST+Na3vsWEQw89lFtuuYXvfe97bNy4kZNOOokJN910E4sWLcKY31ULY8w+b9DrMOh1GPQ6DHodBr0Og16HQa/DoNdh0Osw6HUY9DoMeh0GvQ6DXodBr8Og12HQ6zDodRj0Ogx6HQa9DoNeh0Gvw6DXYdDrMOh1GPQ6GGOMMcYY8/vUNA1N09A0DU3T0DQNTdPQNA1N09A0DU3T0DQNTdPQNA1N09A0DU3T0DQNTdPQNA1N09A0DU3T0DQNTdPQNA1N09A0DU3T0DQNTdPQNA1N09A0DU3T0DQNTdPQNA1N09A0DU3T0DQNxhjTwhhjjDHGGGOMMa9pixYt4qabbsIYs2dqYYwxxhhjjDHGGGOM+YNpYYwxxhhjjDHGvEY553DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHM45nHM453DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOcwxpgWxhhjzCvIOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHM45nHM453DO4ZzDOYdzDucczjmccxhjjDFmL+cj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+YowxE1oYY4wxr7BBr8Og12HQ6zDodRj0Ogx6HQa9DoNeh0Gvw6DXYdDrMOh1GPQ6DHodBr0Og16HQa/DoNdh0Osw6HUY9DoMeh0GvQ6DXodBr8Og12HQ62CMMcYYs6d46qmncM5x+eWXs7tOp8PWrVt5qU466STuvvtujDF7vhbGGGOMMcYYY4x5RbztbW/js5/9LJs3b+Z3VVUV7373uzHG7PlaGGOMMcYYY4wx5hXxR3/0R5Rlyac+9Sl+3datW/ngBz/I4sWLmTdvHqOjo0yYN28et99+O5NOOOEEbrjhBhYtWsTGjRvZunUrH/jABzj22GM5+uijue2225iwbt06jjvuOJYuXcoJJ5xAXdcYY14dLYwxxhhjjDHGGPOKeP755/nEJz7Brbfeyn//93+zu7Vr1/KmN72J9evXs379er7yla/wwx/+kA9/+MP827/9GxMGgwH3338/J5xwApMuvvhiOp0OY2NjfPGLX+Tyyy9n27ZtrFq1iuuvv55169Zx5plncu6552KMeXW0MMYYY4wxxhhjzCtmypQp/Mu//At/+7d/S9M0TPrBD37A0qVLmXDAAQcwd+5c7rnnHk4++WSuv/56mqYhhEBRFEyZMoVJd9xxB8cddxwTjjrqKK666ip+9KMfkVKi2+2yaNEi1q5dy89+9jOMMa+OFsYYY8wrrN2taXdr2t2adrem3a1pd2va3Zp2t6bdrWl3a9rdmna3pt2taXdr2t2adrem3a1pd2va3Zp2t6bdrWl3a9rdmna3pt2taXdr2t0aY4wxxpg90fHHH88hhxzCv/7rv9JqtZjQNA27a5qGVqvFwQcfzOzZs7njjju47rrrOOWUU9hd0zSMj4+zO+ccM2fOZMOGDWzYsIGxsTFijBhjXh0tjDHGmFeYFhlaZGiRoUWGFhlaZGiRoUWGFhlaZGiRoUWGFhlaZGiRoUWGFhlaZGiRoUWGFhlaZGiRoUWGFhlaZGiRYYwxxhizp1q7di3/8A//wK5du5hwzDHHEGNkwvbt29m4cSNHHXUUEz784Q/zta99jZQSRx99NLs75phjuPnmm5nw0EMPsWzZMmbPnk1KiYceeogJN998M1deeSXGmFdHC2OMMcYYY4wxxrzi/vRP/5TTTz+dJ554ggmrV6/mqaeeYsmSJRx//PGcffbZ5HnOhL/8y7/km9/8Jh/4wAf4datXr+aZZ55h/vz5nHLKKZx33nm8/vWv5+qrr+YjH/kIIyMjfO5zn+PYY4/FGPPqaGGMMcYYY4wxxryWjY7A6AiMjsDoCIyOwOgIjI7A6AiMjsDoCIyOwOgIjI7A6AiMjsDoCIyOwOgIjI7A6AiMjsDoCIyOwOgIjI7A6AiMjsDoCIyOwOgIjI7A6AiMjsDoCIyOwOgIjI7A6AiMjrC7Qw45hPvuu4/dfepTn6JpGqZNm8a0adO45ppr+O53v8vY2Bgf//jHmTRt2jSee+45Pv3pTzNpw4YNzJ07l2nTpnHttdfy/e9/nzvvvJOFCxcyYenSpWzcuJEYIxs2bGDWrFkYY14dLYwxxhhjjDHGmNeopmlomoamaWiahqZpaJqGpmlomoamaWiahqZpaJqGpmlomoamaWiahqZpaJqGpmlomoamaWiahqZpaJqGpmlomoamaWiahqZpaJqGpmlomoamaWiahqZpaJqGpmlomoamaWiahqZpMMaYFsYYY4wxZp+2a9cuPv/5zyMiPPvss0zasWMH55xzDkcccQTz58/nG9/4BsYYY4wx5qVrYfYqu3bt4vOf/zwiwrPPPsukHTt2cM4553DEEUcwf/58vvGNb2CMMcYYM2HVqlUceOCBtFotdnfppZcyGAy4/fbb+frXv86XvvQlHnzwQYwx5tUmIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICMa8FC3MXmXVqlUceOCBtFotdnfppZcyGAy4/fbb+frXv86XvvQlHnzwQYwxxhhjVq5cycqVK/l169atoyxLpk6dSqfTodvtctNNN2GMMa8mVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVVRVVRVVQVVUVVUVVUFVVFVVFVVBVj/q9amL3KypUrWblyJb9u3bp1lGXJ1KlT6XQ6dLtdbrrpJsyrQ0JCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkLCGGOMeTGzZ8/mN6nrmpkzZzKp0+lQ1zXGtLs17W5Nu1vT7ta0uzXtbk27W9Pu1rS7Ne1uTbtb0+7WtLs17W5Nu1vT7ta0uzXtbk27W9Pu1rS7Ne1uTbtb0+7WtLs17W5Nu1tjjDHG7A1amL3K7Nmz+U3qumbmzJlM6nQ61HWNeZX4CD6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+AjxhhjzEvVNA07d+5kaGiISUNDQ2zbtg1jtMjQIkOLDC0ytMjQIkOLDC0ytMjQIkOLDC0ytMjQIkOLDC0ytMjQIkOLDC0ytMjQIkOLDC0ytMjQIkOLDGOMMWZv0MLs9ZqmYefOnQwNDTFpaGiIbdu28UJEBGPMbyciiAjGGLO3cc4xNDTE1q1bmbRlyxamTp3KCxERjDEvTkQQEYwxxuxbWpi9nnOOoaEhtm7dyqQtW7YwdepUXoiqYoz57VQVVcUYY/ZGM2fO5LHHHmPSo48+yqGHHsoLUVWMMS9OVVFVjDHG7FtamH3CzJkzeeyxx5j06KOPcuihh2KMMcYY80JOPPFELrvsMrZt28YjjzzCjTfeyLJlyzDGGGOMMS9NC7NPOPHEE7nsssvYtm0bjzzyCDfeeCPLli3DGGOMMfu2zZs3Mzw8zPDwMOPj4yxcuJDh4WE2bdrEihUrOOSQQ1iwYAHLly9nzZo1zJo1C2OMMcYY89K0MHuNzZs3Mzw8zPDwMOPj4yxcuJDh4WE2bdrEihUrOOSQQ1iwYAHLly9nzZo1zJo1C2MmtLs17W5Nu1vT7ta0uzXtbk27W9Pu1rS7Ne1uTbtb0+7WtLs17W5Nu1vT7ta0uzXtbk27W9Pu1rS7Ne1uTbtb0+7WtLs17W5Nu1tjjDFmzzJjxgz6/T79fh9Vpd/v0+/3Oeigg5gyZQoXXngh9957L2NjYxRFgTHGGGOMeelamL3GjBkz6Pf79Pt9VJV+v0+/3+eggw5iypQpXHjhhdx7772MjY1RFAXGTNIiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTKMMcYYY4wxxph9TQtj9hESEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhLGGGOMeXkkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCReayQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJIwxxhjz+9XCmH2Fj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+IgxxhhjXiYfwUfwEXwEH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BF8BB/BR/ARfAQfwUfwkdccH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BFjjDHG/H61MMYYs0/YtWsXn//85xERnn32WSbt2LGDc845hyOOOIL58+fzjW98A2OMMcYYY4wxvz8tjDHG7BNWrVrFgQceSKvVYneXXnopg8GA22+/na9//et86Utf4sEHH8QYY4wxxhhjzO9HC2OMMfuElStXsnLlSn7dunXrKMuSqVOn0ul06Ha73HTTTRhjjAEJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQljjDHG7L1aGGOM2SfMnj2b36Sua2bOnMmkTqdDXdcY0+7WtLs17W5Nu1vT7ta0uzXtbk27W9Pu1rS7Ne1uTbtb0+7WtLs17W5Nu1vT7ta0uzXtbk27W9Pu1rS7Ne1uTbtb0+7WtLs17W6NMXssH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BFjjDHG7L1aGGOM2Wc1TcPOnTsZGhpi0tDQENu2beOFiAhm36BFhhYZWmRokaFFhhYZWmRokaFFhhYZWmRokaFFhhYZWmRokaFFhhYZWmRokaFFhhYZWmRokaFFhhYZWmTsbUQEEcEYY4wxxpgJLYwxxuyznHMMDQ2xdetWJm3ZsoWpU6fyQlQVY8yLU1VUFWOMMcYYYya0MMYYs0+bOXMmjz32GJMeffRRDj30UPYlEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISxhhjjDHGmH1PC2OMMfu0E088kcsuu4xt27bxyCOPcOONN7Js2TL2KT6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+AjxhhjjDHGmH1PC2OMMXu9zZs3Mzw8zPDwMOPj4yxcuJDh4WE2bdrEihUrOOSQQ1iwYAHLly9nzZo1zJo1C/PqkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQMMYYY4wxxrwyWhhjjNnrzZgxg36/T7/fR1Xp9/v0+30OOuggpkyZwoUXXsi9997L2NgYRVFgXkU+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI8YYY4wxxphXRgtjjDHGGGOMMcYYY8wfTAtjjDHGGGOMMcYYY8wfTAtjjDHGGGOMMcYYY8wfTAuz19u5cyciwvDwMMPDwwwPD7N69Wr+0CQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkjDHGGPP7s3PnTkSE4eFhhoeHGR4eZvXq1RhjjDHGmJeuhdnrPffcc8yYMYN+v0+/36ff73PxxRfzB+cj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go8YY147JCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkjDEvz3PPPceMGTPo9/v0+336/T4XX3wxxhhjjDHmpWth9npbtmxh2rRpGGPMHsNH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BF8xBjz8mzZsoVp06ZhjDHGGGN+dy3MXm/Lli1s376dU089lblz53Laaafx+OOPY4wxxhjzQrZs2cL27ds59dRTmTt3LqeddhqPP/44xhhjjDHmpWth9npTp05l0aJFfPKTn+S2225jzpw5rFq1ihcjIhhjfjsRQUQwxpi9zdSpU1m0aBGf/OQnue2225gzZw6rVq3ixYgIxpgXJyKICMYYY/YtLcxeb9asWXzmM5/hsMMOY//992flypU8/vjjPP3007wQVcUY89upKqqKMcbsbWbNmsVnPvMZDjvsMPbff39WrlzJ448/ztNPP80LUVWMMS9OVVFVjDHG7FtamL3eM888w8MPP8yk8fFxxsfHmTJlCsYYY4wxv8kzzzzDww8/zKTx8XHGx8eZMmUKxhhjjDHmpWlh9noPP/wwZ5xxBj/5yU94/vnnueSSSzj88MN54xvfiDHGGGPMb/Lwww9zxhln8JOf/ITnn3+eSy65hMMPP5w3vvGNGGOMMcaYl6aF2evNnz+f0047jQ996EPMmzeP+++/n7Vr12LMJAkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCWOMMa8N8+fP57TTTuNDH/oQ8+bN4/7772ft2rUYY4wxxpiXroXZJ5xxxhncdttt3HnnnVx22WW85S1vwZj/n4/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI/iIMcaY144zzjiD2267jTvvvJPLLruMt7zlLRhjjDHGmJeuhTHGGGOMMca8BBISEhISEhIShAD0FwAAIABJREFUEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEsYYY8zeoIUxxhhjjDHGvBQ+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI/gIPoKP4CP4CD6Cj+Aj+Ag+go/gI8YYY8zeoIUxxhhjjDHGGGOMMeYPpoUxxhhjjDHGvEY553DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHM45nHM453DO4ZzDOYdzDmOMMealamGMMcYYY4wxr2GDXodBr8Og12HQ6zDodRj0Ogx6HQa9DoNeh0Gvw6DXYdDrMOh1GPQ6DHodBr0Og16HQa/DoNdh0Osw6HUY9DoMeh0GvQ6DXodBr8Og18EYY4x5OVoYY8wewjmHcw7nHM45nHM453DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHM45nHM45zDGGGPMa1u7W9Pu1rS7Ne1uTbtb0+7WtLs17W5Nu1vT7ta0uzXtbk27W9Pu1rS7Ne1uTbtb0+7WtLs17W5Nu1vT7ta0uzXtbk27W9Pu1rS7NcYYY8zL0cIYY/Ygg16HQa/DoNdh0Osw6HUY9DoMeh0GvQ6DXodBr8Og12HQ6zDodRj0Ogx6HQa9DoNeh0Gvw6DXYdDrMOh1GPQ6DHodBr0Og16HQa/DoNdh0OtgjDHGmNc+LTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiwxhjjHk5WhhjzB6k3a1pd2va3Zp2t6bdrWl3a9rdmna3pt2taXdr2t2adrem3a1pd2va3Zp2t6bdrWl3a9rdmna3pt2taXdr2t2adrem3a1pd2va3Zp2t8YYY4wxxhhjjPlDa2GMMXsQLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMLTK0yNAiQ4sMY8wLk5CQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQMMYYY4wxZm/WwhhjjDHmN/ERfAQfwUfwEXwEH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BF8BB/BR/ARfAQfMcYYY4wxZm/WwhhjjDHGGGOMMcYY8wfTwhhjjDHGGGOMMcYY8wfTwhhjjDFmD+ecwzmHcw7nHM45nHM453DO4ZzDOYdzDucczjmcczjncM7hnMM5h3MO5xzOOZxzOOdwzuGcwzmHcw7nHM45jDHGGGOM+X1pYYwxxhjzGqBFhhYZWmRokaFFhhYZWmRokaFFhhYZWmRokaFFhhYZWmRokaFFhhYZWmRokaFFhhYZWmRokaFFhhYZWmQYY4wxxhjz+9TCGGOMMcYYY4wxxhjzB9PC7BNuvfVWlixZwpw5c1i+fDmbNm3CmD2RhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISBW2+9lSVLljBnzhyWL1/Opk2bMMaYCbfeeitLlixhzpw5LF++nE2bNmHMnkhCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQsIYY4x5OVqYvd4vfvEL1qxZw/nnn89dd93FYYcdxgUXXIAxeyQfwUfwEXwEH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BF8BB/BR/ARfAQfwUfwEXxkX/eLX/yCNWvWcP7553PXXXdx2GGHccEFF2DMnkhCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQsLAL37xC9asWcP555/PXXfdxWGHHcYFF1yAMXskH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BFjjDHm5Whh9npjY2O8853vZP78+UyZMoWzzjqL9evXs3PnTowx+7axsTHe+c53Mn/+fKZMmcJZZ53F+vXr2blzJ8bscXwEH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FH8BF8BB/BR/ARfAQfwUfwEXwEH8FHDIyNjfHOd76T+fPnM2XKFM466yzWr1/Pzp07McYYY4wxL00Ls9f78Y9/TKfTYdL06dOZPn06Tz75JHuavCrZk+RVyZ4kr0r2FHlVsifJqxLz0v34xz+m0+kwafr06UyfPp0nn3ySPU1elexJ8qpkT5FXJXuKvCrZk+RViXl5fvzjH9PpdJg0ffp0pk+fzpNPPsmeJq9K9iR5VbKnyKuSPUVelexJ8qrEGGOMeaW0MHu9X/3qVwwNDbG7oaEhfvnLX/JCRAQRQUQQEUQEEUFEEBFEBBFBRBARRAQRQUQQEfI8J69K8qokr0ryqiSvSvKqJK9K8qokr0ryqiSvSvKqJK9KJuRVSV6V5FVJXpXkVUleleRVSV6V5FVJXpXkVUleleRVSV6V5HmOiCAiiAgigoggIuR5Tl6V5FVJXpXkVUleleRVSV6V5FVJXpXkVUleleRVSV6VTMirkrwqyauSvCrJq5K8KsmrkrwqyauSvCrJq5K8KsmrkjzPERFEBBFBRBARRIQ8z8mrkrwqyauSvCrJq5K8KsmrkrwqyauSvCrJq5K8KsmrkrwqmZBXJXlVklcleVWSVyV5VZJXJXlVklcleVWSVyV5VZJXJXmeIyKICCKCiCAiiAh5npNXJXlVklcleVWSVyV5VZJXJXlVklcleVWSVyV5VZJXJRPyqiSvSvKqJK9K8qokr0ryqiSvSvKqJK9K8qokr0ryqiTPc0QEEUFEEBFEBBEhz3PyqiSvSvKqJK9K8qokr0ryqiSvSvKqJK9K8qokr0ryqiSvSibkVUleleRVSV6V5FVJXpXkVUleleRVSV6V5FVJXpXkVUme54gIIoKIICKICCKCiCAiiAgigoggIogIIoKIICKICK9Vv/rVrxgaGmJ3Q0ND/PKXv+SFiAgigoggIogIIoKIICKICCKCiCAiiAgigoggIuR5Tl6V5FVJXpXkVUleleRVSV6V5FVJXpXkVUleleRVSV6VTMirkrwqyauSvCrJq5K8KsmrkrwqyauSvCrJq5K8KsmrkjzPERFEBBFBRBARRAQRIc9z8qokr0ryqiSvSvKqJK9K8qokr0ryqiSvSvKqJK9K8qpkQl6V5FVJXpXkVUleleRVSV6V5FVJXpXkVUleleRVSV6V/x978B/fc6H///+212xseMcIpVXO9HzqHD/yI7LqvXB0pJR2cE6d4uRH9TSVqG1tnMrZ/Ggx+TW2CCU1ph+eMXGQX6v3O4WK7orq0PIrTRibba/P5fXHLhdv3/O+vL+npp+P6xXHcXBdF9d1cV0X13VxXRfXdXEcB8f3cHwPx/dwfA/H93B8D8f3cHwPx/dwfA/H93B8D8f3CHF8D8f3cHwPx/dwfA/H93B8D8f3cHwPx/dwfA/H93B8D8dxcF0X13VxXRfXdXFdF9d1cRwHx/dwfA/H93B8D8f3cHwPx/dwfA/H93B8D8f3cHwPx/cIcXwPx/dwfA/H93B8D8f3cHwPx/dwfA/H93B8D8f3cHwPx3FwXRfXdXFdF9d1cV0X13VxXRfHcXB8D8f3cHwPx/dwfA/H93B8D8f3cHwPx/dwfA/H93B8jxDH93B8D8f3cHwPx/dwfA/H93B8D8f3cHwPx/dwfA/H93AcB9d1cV0X13VxXRfXdXFdF9d1cV0X13VxXRfXdXFdF9d1cV0X13VxXRfXdfk5O3XqFLVr1+ZstWvXprS0lP+N67q4rovruriui+u6uK6L67q4rovruriui+u6uK6L67q4rovruriui+M4OL6H43s4vofjezi+h+N7OL6H43s4vofjezi+h+N7OL5HiON7OL6H43s4vofjezi+h+N7OL6H43s4vofjezi+h+N7OI6D67q4rovruriui+u6uK6L67o4joPjezi+h+N7OL6H43s4vofjezi+h+N7OL6H43s4vofje4Q4vofjezi+h+N7OL6H43s4vofjezi+h+N7OL6H43s4vofjOLiui+u6uK6L67q4rovrujiOg+N7OL6H43s4vofjezi+h+N7OL6H43s4vofjezi+h+N7hDi+h+N7OL6H43s4vofjezi+h+N7OL6H43s4vofjezi+h+M4uK6L67q4rovruriui+u6OI6D43s4vofjezi+h+N7OL6H43s4vofjezi+h+N7OL6H43uEOL6H43s4vofjezi+h+N7OL6H43s4vofjezi+h+N7OL6H4zi4rovruriui+u6uK6L67q4rovjODi+h+N7OL6H43s4vofjezi+h+N7OL6H43s4vofjezi+R4jjezi+h+N7OL6H43s4vofjezi+h+N7OL6H43s4vofjeziOg+u6uK6L67q4rovruriui+u6uK6L67q4rovruriui+u6uK6L67q4rovruhhjjPl1CWB+8aKjozlx4gRnO378ONHR0fwrkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUji5yg6OpoTJ05wtuPHjxMdHc2/IglJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkMTPVXR0NCdOnOBsx48fJzo6mn9FEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCWOMMb8eAcwvXosWLdi7dy/VDh06RHl5ORdffDHGmF+3Fi1asHfvXqodOnSI8vJyLr74Yowxv24tWrRg7969VDt06BDl5eVcfPHFGGOMMcaYf08A84t37bXXsmfPHjZv3kx5eTk5OTnceOONREZGYoz5dbv22mvZs2cPmzdvpry8nJycHG688UYiIyMxxvy6XXvttezZs4fNmzdTXl5OTk4ON954I5GRkRhjjDHGmH9PAPOLV69ePaZMmcKTTz5J586d2b9/P2lpaRhjTL169ZgyZQpPPvkknTt3Zv/+/aSlpWGMMfXq1WPKlCk8+eSTdO7cmf3795OWloYxxhhjjPn3BTC/Cl27duXNN99k27Zt5OXl0bBhQ4wxJqRr1668+eabbNu2jby8PBo2bIgxxoR07dqVN998k23btpGXl0fDhg0xxhhjjDH/vgDGGGOMMcYYY4wxxpjzJoAxxhhjjDHGGGOMMea8CWCMMcYYY8zPVDAYZMaMGZw4cQLzP3388cccO3YMY4wxxvz4AhhjjDHGGPMzFRYWxqeffsqMGTP4MZ06dYodO3bwU1FZWcmWLVv405/+xKRJkzh9+jTGGGOM+fEEMMYYY4wx5mcsOTmZJUuW8Pnnn/Nj+eKLL5g7dy633XYbW7du5ccWHh7O4MGDKSgooKSkhDvuuIOSkhJ+aDk5ORw5coSQ8vJytmzZwoEDB/ixlZWVUVxcjDHGGPNDCWCMMcYYY8zP0KlTpxg3bhwTJ06kSZMmjB8/nh9Lq1ateOaZZ3jsscd46KGHWLp0KT8FdevWZcKECbRp04YHH3yQYDDI+bZ7924KCwsJ2b9/P5MnT+bo0aPccccd5Obm0qdPH3bv3s2PZenSpfTr148hQ4YwYMAADh8+jDHGGHO+BTDGGGOMMeZnaNy4cVx00UVMmzaNZ555hvfff5+NGzfyQyovL2fLli0cOHCAkGuuuYb58+fz1FNP8fbbb/NjycnJYcmSJVQbM2YMR48eZcmSJZxvF110EVlZWRQVFXHDDTewevVqpkyZwt///nfmz5/PiBEjSElJoaqqih/ahx9+SH5+PgUFBaxYsYL27duTlJREZWUlxhhjzPkUwBhjjDHGmJ+BsrIyiouLqbZ7927atWtHiOM4pKWlMX78eCoqKvghHD16lDvvvJMFCxZwyy23sHv3bkJatmzJ2LFjSUtL48yZM/yQFixYwPDhw3nnnXd45plnOHnyJCGRkZGMHj2a3NxcgsEgNa2kpIRZs2YRUlFRQWRkJE888QStWrXi/vvvp6CggJYtWxJy1113UVFRwbJly/ghBINBysvLCSkqKqJdu3ZERkayc+dOdu7cieu6nD59GmOMMeZ8CmCMMcYYY8xP3NKlS+nXrx9DhgxhwIABHD58mDZt2lBYWEi1W2+9ldLSUhYtWsT5UlpayldffUVSUhK5ubk8+eSTzJkzh6SkJFJSUqiqqiKkT58+NGjQgDfeeIMfyiuvvMKmTZuYNm0amZmZNGzYkNmzZ1PthhtuoLKyEknUtOjoaMLDwzlz5gyRkZEMHz6cw4cPU1lZycCBA4mNjWXFihWEhIeHk5aWRnZ2NidOnOB8CQaDzJs3j969e9OtWzd27NhBixYt2LRpE+np6WRlZZGens7YsWMpKirCGGOMOZ8CGGOMMcYY8xOyfPlyPvvsM6p9+OGH5OfnU1BQwIoVK2jfvj1JSUncddddFBQUsGfPHkLCw8Pp0KEDs2bN4siRI5wPixYtYuHChbRv354FCxZwxRVXEDJw4EAqKipYtmwZ1f7yl7+wevVqzpfy8nK2bNnCgQMHCJFE27ZtqVWrFs2bN2f69OksWrSIffv2ERIWFkaXLl34+OOPqWmHDx+md+/eDB48mFq1atGnTx/uvvtuJk6cSGRkJKmpqWRnZ3Pq1ClCunbtylVXXcXs2bM5X6ZPn05xcTGvv/4669ato23btiQkJFBRUUFYWBjz58+nVatWHDlyhOzsbIwxxpjzKYAxxhhjjDE/IQ0bNmT8+PH4vs/BgwcpKiqiXbt2REZGsnPnTnbu3Inrulx00UXcfffdPPjgg3zyySesW7eOiIgIMjIyqF27NjVl27Zt7Nu3j5Bu3bqxadMmBg4cSGxsLCtWrCAkPDyctLQ0srOzOXHiBCHXXHMNH3/8Md+XJAoKCjjb0aNHufPOO1mwYAG33HILu3fvpm3btqxZs4Zql19+OQkJCUycOJFqTZs25dSpU9S0J554gj179hAyb948Qu677z4++ugjNm3aRPfu3YmLiyMvL49qqampxMfHU1NKSkp46623KC0tJeS9997j+uuvJxAIsHv3bl555RV27tzJhAkTKCwsZOnSpWzfvp0xY8YwZMgQjDHGmPMpgDHGGGOMMT8hjRs3ZvPmzRQWFlK3bl1atGjBpk2bSE9PJysri/T0dMaOHUtRURGjRo3i+uuvZ/DgwRQUFJCcnEzPnj2pX78+NeVvf/sbDz74IEeOHKFly5aUlZVRUlJCamoq2dnZnD59mpCuXbty1VVXMXv2bEKaNm3K6dOn+b5q1apFrVq1qJaUlERubi5PPvkkc+bMISkpiZSUFH7/+99z4sQJXnvtNar95je/Yfv27bz77ruEBINBLrzwQr6vYDDI6tWrKS8vJ+SGG25g48aNpKenk5eXx8GDB4mOjmb06NFkZmZy8uRJBg4cyPz58ykuLiYkNjaW+Ph4asLWrVsZNGgQubm59O/fn9LSUv7617/y0EMP0bFjR5KTk1m7di1Dhgzh9OnT5Obmsm7dOubOncu9995LYmIixhhjzPkUwBhjjDHGmJ+AYDBIeXk5ERERjBo1ik8++YTatWuTkJBARUUFYWFhzJ8/n1atWnHkyBGys7MJBAKkpqayceNGZsyYQePGjfm+ysrKWLJkCRUVFYQkJCRw3XXXkZSUxPHjx+nevTubN2+me/fuxMXFkZeXR7XU1FTi4+MJqaqqokmTJnxfcXFxNGrUiDFjxhDSvn17FixYwBVXXEHIwIEDqaio4PXXX+dvf/sbGRkZFBUV8cUXXyCJ+++/n2XLlhHStm1brrnmGr6vkpISUlJSGDVqFJWVlfTo0YMtW7bQqlUrbrnlFiZPnkzIbbfdRmxsLNdeey2HDh1i/PjxREdHU1OOHDnCsGHDeOONN1i0aBGLFi3isssuY+rUqdxwww288847bN68mRUrVjB9+nRGjx7Nxo0b6dChAzNnzmTatGlcc801GGOMMedbAGOMMcYYY35EwWCQefPm0bt3b7p168bJkycZOnQojRo14vnnnyciIoIJEyZQWFjI0qVL2b59O2PGjGHIkCGcD+Hh4axfv560tDSCwSDdu3fnm2++4b777iMpKYnrrruOjRs3EpKWlsZzzz3HV199RUhsbCzx8fGEnDhxgpEjR1ITWrduzerVq9m6dSsDBw4kNjaWFStWEBIeHk5aWhrZ2dl07NiRtLQ0UlNTGT16NCNGjKBRo0ZUVlYS8vvf/5569erxXRw6dIgVK1YQ0rBhQ377299yxRVXkJ6eTtOmTYmKiuLLL79k5MiRrFu3ju3btxMWFsacOXPYsmULAwYMoFevXjRo0ICa0rhxY0J27dpFvXr1CElPT2fp0qXs3buX2rVrExYWRkhxcTGvvvoqN954I8YYY8wPLYAxxhhjjDE/ounTp1NcXMzrr7/OunXraNu2LSFpaWnk5ORw9OhROnXqRG5uLuvWrWPu3Lnce++9JCYmUpNOnTrFp59+Skh2djYlJSVMmjSJdu3asX37drp160bfvn1ZsGABH330EcFgkJYtWzJ+/HiioqI4V0xMDAkJCXxXJSUlvPXWW5SWltKgQQMeeOABMjMzqVWrFqmpqWRnZ3P69GlCunbtylVXXcXs2bO5/fbbeeutt0hLS+P9999nzpw53HfffdSEqVOnkp+fT8j1119PixYtaNSoEZMmTaJHjx5s2rSJmJgYkpKSyMjIIBgMEhYWRnR0NDWlsrKSPXv2cOLECULS0tL46KOP2LdvHyHNmzdn0KBBTJgwgZBHH32UHj168Mgjj5CSkkLHjh0xxhhjfmgBjDHGGGOM+QFVVVWxf/9+KioqCHnvvfe4/vrrCQQC7N69m1deeYXt27fTunVrevbsSVZWFiUlJVxyySXMnDmTadOmcc0111CTnn/+eQYMGEBKSgq9e/fmq6++YsaMGUgiLy+PK6+8km3btpGYmEiXLl349ttv+frrrwnp1asXDRo04LuSREFBAWfbunUrgwYNIjc3l/79+1NaWsodd9xBeXk5y5Yto3v37sTFxZGXl0e11NRU4uPjCdm/fz+LFi3im2++4bnnnuM3v/kN31eTJk1YuHAheXl5rF69mhtuuIG1a9fy6KOPcuzYMT777DM2bdpEyF/+8hf69+9PVVUVNemdd94hMTGRxx9/nO7du7N27VpatGjBnXfeyVNPPUW1e++9F0ls2LCBmTNnsnz5cl588UU6dOiAMcYY82MIYIwxxhhjzA9kx44d3H777YwaNYpu3brx3nvv8de//pWHHnqIjh07kpyczNq1axkyZAibNm3ikUce4e233+bWW2/lwIEDnA8bN25k5cqVFBQUUFBQwB/+8AeGDx9OSE5ODps3b+bYsWOsXbuWkKFDh7J27VoaN25MTahVqxa1atUi5MiRIwwbNow33niDRYsWsWjRIi677DKmTp1KeHg4aWlpTJkyhRMnTpCWlsZzzz3HV199RUhsbCzx8fGEXHLJJUyePJnhw4fTsGFDvovdu3czYsQIgsEg1Zo1a8Zzzz3H008/TUlJCZ9++inl5eVkZGRQWlrK0aNHCYmIiGDAgAGEh4dTU7755huSk5PJzc3lhRdeICsri9GjR/PFF1+QlJTEu+++yzvvvENIVFQUWVlZXHrppYRER0djjDHG/JgCGGOMMcYY8wMoKyvj4YcfJjc3l/z8fMaOHYvneVx55ZW88847bN68mRUrVjB9+nRGjx7Nxo0biYmJYdWqVaxZs4a2bdtyPmzbto22bdsSGRlJyMiRIwkPD6egoIA6deowe/Zsvv32W0pKSqgWFRVFTYmLi6NRo0aMGTOGxo0bE7Jr1y7q1atHSHp6OkuXLmXv3r3Ex8fS17QnAAAgAElEQVRz1VVXMWvWLFq2bMn48eOJioqipg0fPpxnn32WxMREwsLCONsll1xCXl4eTzzxBBdccAHvvPMO4eHhTJ06lYULF1KTtm3bxkcffUTI7t27adSoEU2bNiUkISGBvn37MnXqVOrXr8/IkSPJzMyksrKSkC5dunD55ZdjjDHG/BQEMMYYY4wx5jyaOHEia9euRRL16tWjadOmHD58mPXr13PllVdy+vRpateuTVhYGCHFxcW8+uqr3HjjjYRERkYSGRlJTZg8eTJr167lbC1btmTDhg0Eg0FCwsPDueeee1i5ciUh0dHRLFy4kL///e/UpLKyMg4fPkxI69atWb16NVu3biUtLY2PPvqIffv2EdK8eXMGDRrEhAkTCHnsscfo0qULIb169aJBgwbUhK+//prTp08T0q5dO3zfp1OnTvwrl156KTNnzmTfvn18/fXXhERGRhIeHk5NqKysxPM8srOzGTJkCBkZGfzmN79h9+7dHDhwgGpDhw5l9erVnDlzhv79+zNo0CCCwSDGGGPMT00AY4wxxhhjzoPNmzeTkZHBhx9+SNeuXYmNjWXv3r1MnTqVoUOH0q1bN+bPn8/nn39OaWkpjz76KD169OCRRx4hJSWFjh07UtPKy8v56KOPOFuPHj04deoUS5cupVpsbCyVlZVUi4iIoCa98MIL9OvXj759+5KamkqDBg144IEHyMzM5LLLLuPOO+/kqaeeotq9996LJDZs2EBsbCwJCQl8V7Nnz+abb76hWnFxMUOGDGHw4MHccMMNfPDBB9xzzz00b96cwsJC/je/+c1v+Mc//kHfvn2pSbNmzSIzM5P4+HgWLFjAa6+9RmFhIVu2bKFnz55MnjyZak2bNiUyMpLKykoCgQB//OMfqVWrFsYYY8xPTQBjjDHGGGPOg7Zt27Jy5Upat25NVFQUDRs25KabbmLNmjUsWbKEnj17EjJu3DhOnz7NzJkzWb58OS+++CIdOnSgJqxcuZL//u//plrHjh3ZtWsXZ4uMjCQzM5OJEyfy+uuvI4kZM2YwePBgzod169bxj3/8g4KCAlatWsX7779PQUEBd9xxB+Xl5SxbtoykpCTeffdd3nnnHUKioqLIysri0ksv5fuqV68eZ86codqIESO49957ee211xg5ciSjRo0iJDU1lZkzZ3Lq1Cn+NxEREdSUsrIyQq655hoWLVrEpZdeSkjTpk0ZO3Ys06ZNIyUlhbfffpspU6awd+9eJkyYwJ///Gfq1KmDMcYY81MWwBhjjDHGmBpSVlZGcXExIfXr12fUqFGsWrWKiooKQlJTUzl+/DhTp05l586dTJgwgc6dOxMTE0NIdHQ0NSEYDBJSq1YtkpKSeOONNwjp2LEju3bt4lzx8fHk5OTg+z7Tpk1jxIgR9OjRg5pSWlrKsGHDOHToEJLo0KEDkZGRFBcX06BBA6ZMmcKpU6dIS0tjypQphIWFMXLkSDIzM6msrCSkS5cuXH755XwXx44dIycnh5C77rqL9PR0PvnkE4LBIPv27aNNmzacOXOGEydOcODAARYuXEiPHj2Ii4sjLy+P8+mtt94iMTGRG2+8kQULFtChQwduvvlmCgsLqXbjjTcSERHBZ599xuLFi/nqq68YN24crVq1Ijk5GWOMMeanLoAxxhhjjDH/ppycHMrLyznb0qVL6devH0OGDGHAgAEcPnyYxMREYmJiWLx4MSExMTG8/PLLHDt2jOzsbOLi4hg/fjw1paqqirFjx3LVVVfx4IMP0r17d+bPn89TTz3FvHnzaNSoEREREZSUlHCuzp07k5uby8yZM+nUqRPfVXl5OXPmzKHa7NmzmTBhAnFxcVx44YUMGjSIBx54gPz8fCZOnMikSZO47LLLmDFjBvHx8Vx11VXMmjWL/v37M2jQIILBIN/Vm2++ybvvvkt0dDSvvPIKq1atIqRt27ZkZmYSFhbGhg0bOHXqFMOGDaN27drMnj2bWbNmcfDgQdLS0pg/fz7FxcWcD0VFReTm5jJ37lzWrl3LXXfdRUhycjKrVq3igw8+ICQsLIwrrriCr7/+mksuuYSsrCzmz59P//79McYYY34OAhhjjDHGGPNvKi0tJS8vjxdffJGqqio+/PBD8vPzKSgoYMWKFbRv356kpCSqqqpIT09n+vTplJSUENKsWTMyMzPJy8tjwIABhIWF8X2dOXOGTz/9lI0bN3LFFVdQVFTEgQMHePbZZ/ntb39Lfn4+y5cvZ/z48bRv355du3ZxvkRGRrJ+/XpWr16N7/t06dKFZcuW0bFjR8LCwoiKiuKf//wnc+bMITc3l8svv5yOHTvyyiuvcPfddzN8+HC6dOlCIBDgj3/8I7Vq1eK7CgQCREZGEhERQWpqKpMmTaKsrIxhw4bx2WefsWbNGqKiosjKyqJ3797cfffdxMXF0aRJE/7yl7+wbt06xo8fT3R0NDXl4MGDnDx5kpD333+fq666ioYNG7J//35WrlzJ2rVradKkCYMHDyYpKYnVq1ezePFi/vnPf3LddddhjDHG/BwFMMYYY4wx5t/UrFkzpk2bxvHjxwkpKiqiXbt2REZGsnPnTnbu3Inrupw+fZoOHTpw3XXXMW3aNM6HgwcP0q9fP4YOHUpKSgrdu3cnOjqa8ePHk5uby8GDB2natCkvvvgiX375JRs3bmTXrl2cL8FgkGbNmjFy5EguvPBC2rdvz80338yqVauodvr0aU6dOsXp06f59NNPOXz4MK+99hpPPfUUrVu3JiEhgZrw+9//nk2bNpGfn0/37t1p0aIF8+bNo06dOiQnJzNp0iTKy8s5efIkx44dI2T27NlkZWWRnZ3N4MGD6dWrFw0aNOD7Onr0KIMHD+aBBx6gR48evPjii9x6660sX76c9u3bc9ddd/HGG28wadIkpk6dytChQwkEArzzzjvUqVOHRYsW0aBBA4wxxpifowDGGGOMMcb8m1zXpW/fvnz22WcEAgFatGjBpk2bSE9PJysri/T0dMaOHUtRUREhycnJJCQkUNOSkpLIy8tj2rRprFq1iiZNmrBmzRpCWrZsyW233cbTTz9NSFRUFDNmzOAPf/gDn3/+OTXhjTfeYMeOHZwtLCyMvn370qJFC4qLiwl55JFHWLduHR9//DEhjuNw/fXX06NHD9LS0khKSqJZs2ZcdNFF1JRgMEhIx44dmTJlCt9++y1paWnMnTuXgwcPcvPNN3PhhReyYMECPM8jLy+PHj160KxZM9q0aUObNm0IDw+npjz22GPcdddd5Ofn89JLLzF9+nQ+/fRT1q9fz7p169i4cSM5OTnMmjWLDRs2UKdOHR599FE2btzILbfcQr169TDGGGN+rgIYY4wxxhjz/0N5eTlbtmzhwIEDdOrUiZSUFNauXcsHH3xAQkICFRUVhIWFMX/+fFq1asWRI0fIzs4mpFmzZiQkJFDT2rdvz9KlS2nevDm1a9fmiSeeYM6cOXz77beEPPTQQ2zcuJHt27cTEhYWRlxcHHXr1qUmHDt2jHHjxhEMBjlbQkICaWlpTJ48mZMnT9KkSROGDRtGRkYG1SZNmsTKlSvJz88nNjaWmvL1119z991306ZNG+bNm0eXLl24+uqrmTFjBnFxcfTt25fJkycTkp6ezuzZs2nSpAkbNmxg+fLl3H///dSU3bt3M2LECILBIEVFRXTq1Iny8nJWrVpF06ZNiYiIIBAIEB0dTUVFBaWlpcydO5ebb76ZkJtvvplGjRpRUFCAMcYY83MWwBhjjDHGmLOUlJQwa9Ysznb06FHuvPNOFixYwC233MLu3buJiYnB8zwyMzOJiIhgwoQJFBYWsnTpUrZv386YMWMYMmQI59PAgQNp0qQJK1euJKRDhw7Ex8czY8YMQi644AJGjRrFrl27CNm5cyfPPfccffv2pSb86U9/oqysjFdeeYVzxcfH06ZNG2bPnk3I4MGD+eqrrygsLKRaTEwMNeXbb79l3759vPDCCyQnJ7NixQrmzJnD1q1bSUlJYenSpezdu5cHHniADRs2sH37dn73u9/x+OOPExERQZ06dYiOjqamDB8+nGeffZbExETCwsJo0aIFU6dOpX///gQCAfLz84mJieHzzz9n8eLFdOvWjT/96U906NCBYcOGUS07O5vExESMMcaYn7MAxhhjjDHGnCU6Oprw8HDOnDlDSFJSErm5uTz55JPMmTOHpKQkUlJSqKqq4q677qKkpIRXX32Vhg0bMnv2bNatW8fcuXO59957SUxMpCZ88cUXFBUVEQwGOVtkZCSpqalkZ2dTVlZGyKOPPsqyZcvYs2cPIQMGDODPf/4zIdHR0eTm5uK6Lt/XwoUL8TyPhg0bMmXKFE6ePMm5UlNTWbRoEZ999hlffPEFkyZNomXLltS0LVu20L9/fxITE9mwYQNt2rTh0ksvZdSoUWRkZHDxxRdz9913M2HCBC644AIeeOABMjIyCAaD3HrrrVxwwQXUtHbt2uH7Pp06dSJk4MCB5OfnM2PGDIYNG0ZkZCQLFy7k448/ZtCgQbz55pssX76cfv36cbamTZsSGRmJMcYY83MWwBhjjDHGmLNERkZy++23M3jwYMrKymjfvj0LFizgiiuuIGTgwIFUVFSwbNkyIiIi+Pvf/84TTzxBSkoKcXFxzJw5k2nTpnHNNddQExYuXEhycjLjxo3jscce41zdu3fn8ssvZ+7cuYQ0a9aMlJQUSktLOdfll19OXFwc39err77K5s2bmTVrFjNmzKBZs2bk5ORwrssuuwzP8+jTpw/PPvssnTp1omXLltSUI0eOMGzYMNavX89rr73G0qVL2bNnDzt37iSkf//+VFVVUVBQwH333cfHH3/MW2+9xZ///Gf+/Oc/U1VVxflyzz330Lx5cwoLCwlJTEyka9euPPHEE3zwwQfk5+eze/duEhISCImKisIYY4z5pQpgjDHGGGN+tZYvX85nn33GuZo0aULIvHnzGDhwILGxsaxYsYKQ8PBw0tLSyM7O5sSJE1x99dVs3ryZJUuW0LBhQ2rKli1bGD9+PLt37+all14iPz+foqIi1qxZw7nS0tKYO3cuBw8eJKR///60adOGmlJVVcX+/fupqKggRBKtW7emVq1a/Md//AeTJ09m0aJF7Nu3j3MNGzaMt99+m0mTJlETgsEgBw4coKqqisaNGxOyZ88e6tSpw2WXXYbneWRlZRESCARIT08nOzubqqoqJk2axCWXXEJ4eDh//OMfCQ8P5/vat28fhw4d4lyRkZGkpqYyc+ZMTp06RVhYGDNmzKBt27ZMnjyZ4uJiFixYQFRUFMYYY8wvXQBjjDHGGPOr1bBhQ8aPH4/v+xw8eJCzpaenk5eXxzfffENqairZ2dmcPn2akK5du3LVVVcxe/ZsQurWrUtYWBg1qW3btqxYsYKYmBjCwsKoX78+KSkpTJo0ifLycs7WsmVLMjMzqVOnDjVtx44d3H777YwaNYpu3brx3nvv0aZNG1atWkUwGCTksssuo3v37kycOJF/pV69enwXhw8fpri4mGr/9V//xe23385f//pXbr/9dr799lvS0tJ49913+fLLLwm55557+Oc//8maNWsI6dy5M3/4wx/Ys2cP8fHxxMXFUROKi4sZNGgQqamp9OnTh2eeeYZz9ejRg7i4OPLy8gipXbs2Dz30EPPnz2fkyJHUq1cPY4wx5tcggDHGGGOM+dVq3LgxmzdvprCwkLp163K2Vq1accsttzB58mS6d+9OXFwceXl5VEtNTSU+Pp6adOrUKT799FMqKiqoV68eDz/8MIWFhVRWVhLSu3dvmjRpwsKFCzlXr169uOCCC6hJZWVlPPzww+Tm5pKfn8/YsWPxPI927dpRWlrKK6+8QjXXdXn33XfZuHEjNWHv3r388Y9/ZP/+/YQcPnyYtLQ08vLyWLlyJS1btiQjI4MWLVpwxx138PTTTxMSGRlJamoqEydOpLy8nJDHH3+cdu3a8V2Vl5ezaNEizjZy5EgGDx7MokWLWLZsGS+//DLLly/nXGlpacyfP5/i4mKMMcaYX6sAxhhjjDHmVysiIoJRo0bxySefULt2bc41cuRI1q1bx/bt20lLS+O5557jq6++IiQ2Npb4+Hi+q8WLF3O2559/ngEDBpCSkkLv3r354osvSExMpH79+ixevJhqY8aMYfbs2Rw5coTzZeLEiaxduxZJ1KtXj6ZNm3L48GHWr1/PlVdeSUVFBY8//jiZmZm89dZbSOKtt95ixowZxMbGUhO+/vprwsPDOXjwIJs3b2bfvn00a9aMCy+8kJKSEkJWrFjBjh07SEpK4u233+bdd98lpGfPnvTp04cTJ05QE2rVqkV+fj6FhYWEBINBtm/fTqdOnQhp3rw5Y8eOJSsri4qKCs7WsmVLxo8fT3R0NMYYY8yvVQBjjDHGGPOrs2/fPg4dOkRcXBxDhw6lUaNGPP/885wrJiaGpKQkMjIyiIuLY/z48URFRfF9HT16FN/3qbZx40ZWrlxJQUEBBQUF/OEPf2D48OGcOXOG9PR0pk+fTklJCSFXXnkl48aNo3bt2tS0zZs3k5GRwYcffkjXrl2JjY1l7969TJ06laFDh9KtWzfmz5/P559/ztVXX83YsWMZN24cY8eOJSUlhauvvprLL7+cmnDBBRdw9OhR8vPzadeuHW3atGHevHls376d+++/n8TERIYOHcrf//53oqOjGTlyJJmZmVRVVRHy0EMPERMTQ00IBAKMGTOGrKwsysrKCAsLIy4ujvXr11OtV69eRERE8P7773OuXr160aBBA4wxxphfqwDGGGOMMeYXqby8nEWLFnG24uJiBg0aRGpqKn369OGZZ54hJC0tjZycHI4ePcq5/vKXv9C/f3+qqqro1asXDRo04Ps6cuQIYWFhVNu2bRtt27YlMjKSkJEjRxIeHk5BQQEdOnTg2muvZdq0aVTr3bs39evXp6a1bduWlStX0rp1a6KiomjYsCE33XQTa9asYcmSJfTs2ZOQcePGcfr0afr27cs//vEP8vPzadu2LTUpEAjw9NNP8/HHH1NWVkZERASRkZE8/PDDPPXUU1x77bW0aNGC48eP079/f5o3b87dd99NMBjk+6ioqGD06NEkJydz6NAhql199dW0bt2aefPmETJw4ECmTZvGqVOnCAkLC+OSSy6hsrISY4wxxvxPAYwxxhhjzC9SrVq1yM/Pp7CwkGojR45k8ODBLFq0iGXLlvHyyy+zfPlyWrduTc+ePcnKyqKkpIRDhw5RLSIiggEDBhAeHk5NiYqK4quvvqJay5Yt2bBhA8FgkJDw8HDuueceVq5cSUhycjIJCQmcL5MnT2b58uXUr1+fUaNGsWrVKioqKghJTU3l+PHjTJ06lZ07dzJhwgQ6d+5MTEwM51PLli3p2bMnN910E9nZ2VQ7efIkx44d48SJEyxfvpyXX36ZiRMnct1115GYmEh4eDjfR61atSgrK0MS/fr1Y86cOZSXlxOSkpLCggULOHjwIAMGDOCiiy7iwQcfZM+ePeTn53PmzBk6d+6MMcYYY/6nAMYYY4wx5hcpEAgwZswYsrKyKCsrIxgMsn37djp16kRI8+bNGTt2LFlZWVRUVPDII4/w9ttvc+utt3LgwAHOp0suuYSTJ0/yz3/+k5AePXpw6tQpli5dSrXY2FgqKysJadasGQkJCXwfOTk5lJeX86907NiRp556itLSUhITE4mJiWHx4sWExMTE8PLLL3Ps2DGys7OJi4tj/Pjx1LQ1a9aQnZ3NuUaOHMmbb77Jrl27CBk9ejR//etf6devHwMHDuSCCy7AcRxqUkpKCocPHyYvL499+/bRp08f1q5dy8UXX8ydd97J008/TSAQICcnB8dxePzxx/nyyy+ZN28egUAAY4wxxvxPAYwxxhhjzM9eRUUFo0ePJjk5mUOHDlHt6quvpnXr1sybN4+wsDDi4uJYv3491Xr16kVERATvv/8+MTExrFq1ijVr1tC2bVvOp7CwMG666SZeeOEFQiIjI8nMzGTixIm8/vrrSGLGjBkMHjyYmlJaWkpeXh4vvvgixcXFDBw4kPLyckJuuOEGXNclLy+PsLAw0tPTmT59OiUlJYQ0a9aMzMxM8vLyGDBgAGFhYXwXR48eZc6cOfwrYWFhvPfee5wrJiaG+++/n4yMDEIGDBjAW2+9xfLly/nP//xPzofY2Fj69evHvHnzyMjIYMqUKeTl5TF06FB69OjB1q1b2bZtG1FRUTz66KO88MILPPzww9SpUwdjjDHG/H8FMMYYY4wxP3u1atWirKwMSfTr1485c+ZQXl5OSEpKCgsWLODgwYMMHDiQadOmcerUKULCwsK45JJLqKysJCQyMpLIyEhqyhdffEFRURHBYJBzDR48mGXLlrFnzx5C4uPjycnJwfd9pk2bxogRI+jRowc1pVmzZkybNo3jx4/TrFkzKioqmD9/PtUee+wxFixYwJdffkmHDh247rrrmDZtGjWpbt26vPTSS6xbt46dO3dSUFBAtQ4dOvDxxx/zr9x9990cOXKEwsJCQurXr09ERATn03333ceWLVvYsWMHv/vd71i8eDF9+vRhxIgR1KtXj4yMDILBIMYYY4z5vwUwxhhjjDG/CCkpKRw+fJi8vDz27dtHnz59WLt2LRdffDF33nknTz/9NAMGDOCiiy7iwQcfZM+ePeTn53PmzBk6d+5MTVu4cCHJycmMGzeOxx57jHPFxsYyfPhwRo4cSUlJCSGdO3cmNzeXmTNn0qlTJ2pKVVUVruvSt29fPvvsMwKBAGPGjGHOnDkcPnyYkLi4OH7/+9/z1FNPEZKcnExCQgI1qXbt2iQnJzNx4kRq1apFTk4OEydOJBgM0rBhQxo3bsz+/fs5V0REBM888wxdunThh1K3bl1Gjx5NZmYmwWCQkNtuuw3f90lISKBTp06cOXMGY4wxxvzfAhhjjDHGmF+E2NhY+vXrx7x588jIyGDKlCnk5eUxdOhQevTowdatW9mxYwc5OTk4jsPjjz/Ol19+ybx58wgEAtSULVu2MH78eHbv3s1LL71Efn4+RUVFrFmzhnMNHjyYa665hoEDB/Lpp59S05YsWcKNN95IfHw8W7duJSUlhbVr1/LBBx/w29/+lptuuonJkydTrVWrVhQVFVFUVESzZs1ISEigpuzbt48HHniA9evXc/jwYTZu3MiSJUvYsWMHI0eOpLy8nI4dO7Jr1y7+lVatWtGwYUN+SLfddhtVVVUsX76canXr1mX06NGkpqYSGRmJMcYYY/5vAYwxxhhjzC/Gfffdx5YtW9ixYwe/+93vWLx4MX369GHEiBHUq1ePjIwM6tSpw6OPPsoLL7zAww8/TJ06dagJu3fvZsSIEbRt25YVK1YQExNDWFgY9evXJyUlhUmTJlFeXs650tPTue+++3jggQcYM2YMR48epSZs27aNZcuW8dprr+H7PrfffjsxMTF4nkdmZiYho0aNYv369fi+zyeffML69euZPn06F198MTXtnnvuYejQoUyaNIknnniCWbNmUVVVxfz586lTpw733HMPjuOwc+dOfirCwsIYM2YMkydPprS0FGOMMcZ8NwGMMcYYY8wvRt26dRk9ejSZmZkEg0FCbrvtNnzfJyEhgU6dOnHmzBlq2vDhw3n22WdJTEykXr16PPzwwxQWFlJZWUlI7969adKkCQsXLuRfufnmm1mxYgX33HMPMTEx1ITt27fTuXNnoqKiaNy4MU2aNCHkrrvuoqSkhFdffZVvvvmGKVOmkJ2dzdixY0lOTqZLly5cdtllfF/Hjx/n2LFjhJw8eZIDBw7w29/+lpBbb72Vnj17kp2dzf9rD07AqjwMfA//ziccXHBUJioqRnlwf1yiokSN0tSYRqupu9HEBQTimrhEIYBWWT06CiIShJi41EQRHPd9ATeYVmM1idHgOkTiQhncEFA5t98zl3ksN3faRmgT/b+v1WrFZrPRs2dPVqxYwdmzZ/kp6dChA2FhYTg6OiIiIiI/joGIiIiIPFN+85vfUFpayrZt2yhTo0YNZs6cSVBQEFarlYrwpz/9iaKiIkwdOnRg+/bteHp6Yho8eDA1a9bk888/p0xoaCiJiYnk5eXxQywWCx4eHjyNxYsXs23bNkxNmzblwIED2O12yuTn53P27FnCw8OZN28egYGBtG7dmgMHDrB+/Xratm3L0youLua3v/0tb7/9Nq+99hobNmygRo0aNG7cmAMHDlBmwoQJpKam8vXXX2OaMGECwcHBXL16lZ8ab29vHB0dERERkR/HQERERESeKRaLhdDQUBYvXkxhYSEVLTc3l/Hjx+Pr68svfvELvvzyS3x8fGjUqBG7d+/GZLFYCAkJYdmyZRQUFGBq3bo1YWFhODk5UVk6d+7MwoULKSwspGfPnhQXF7Nx40bK7N69m02bNtGlSxeOHTvGxo0bqVOnDhUpJiaGF154ga1bt7J27VpsNhuXLl3Cx8eH2NhYiouLMTVp0oT69esTHh6O3W7H1KJFC2rUqIGIiIg8WwxERERE5JnToUMHwsLCcHR0pKJNmTKFgIAAtmzZwrRp05gxYwamoKAgli9fzoMHDzB16tSJHj16EBcXR5l+/fpRs2ZNKsr169cZM2YMJSUlmH7xi1/QsmVLkpOTMQyDiIgIbDYbmzdv5tSpU2zcuJFf//rXmGrUqIHFYqGiZWdn4+npienatWvUqFGD6OhohgwZQu3atQkMDCQ3N5ekpCTGjRvHO++8g91uJz8/nzlz5jBy5EhERETk2WIgIiIiIs8kb29vHB0deVq3b98mPz8fk91uJycnh3bt2vHw4UPu3bvH9evXWbNmDb1798bDw4Pk5GTKzJ49G29vb55GSUkJK1asoLwFCxZw9uxZHj16xKpVqyjz4Ycfsnr1aq5du4aXlxeJiYns2LGDpKQkQkJC6N19RpoAAB5bSURBVNq1KxWpuLiY3NxcysTHx+Pl5UVoaChHjhwhNTWVrKwsDh8+TEJCAkVFRYwYMYLbt28zevRo+vfvj2EYVK9enffee4+hQ4ciIiIizxYDEREREZEf8OjRI8LDwxk3bhy/+c1vCA4O5vHjxxw+fJgHDx7g7++Pk5MTiYmJJCQkcOPGDYKDg1m1ahW5ubmYXF1d8fb25mlYrVbS09PZt28f27dv59ixY0RERPDVV1/RrVs3QkNDWbFiBbdu3cLk4eHBa6+9xsKFCzF16dKF5ORkPvroIzw9PalIqampDB06lPHjxzN8+HBu3bpFtWrV2LJlC0VFRcybN4/69evz8ssvM3v2bBYsWEBiYiJHjhxh9uzZODg4UKZq1ap0794dERERefYYiIiIiIj82b59+zh58iRl1qxZg6OjI//+7//Onj17uHz5MkuWLKFatWosWrSIfv36MXr0aDw8PKhXrx5vv/02hw4dIioqiurVq1NR7HY7rq6uTJs2jbp169K+fXt27dpF27ZtqVatGm3atKFv374sXryYMq1atSIzM5PMzEwqy1dffUVKSgppaWns3LmTjh07MnnyZB4/fsz9+/e5ffs2ph07dtC9e3fWrVvH3LlzERERkeePgYiIiIjIn929e5ewsDBKS0sxZWZm0rlzZ0yHDx+msLCQevXqYbp//z63b9/GlJiYyKJFi4iJicHX15c33niD2rVrUxFKSkqwWCwMHDgQd3d3cnNzqVmzJjNmzGDPnj08evQI04wZM0hPT2f79u1kZ2eTnp7OsmXLaNiwIU8jMTGRgoICyhQWFuLv78/NmzfJzMykQ4cOWK1Wzp49y9mzZ2nZsiVFRUUMHDiQGzdu0LNnT/bu3cuoUaNo0aIFzs7OiIiIyPPHQERERETkzwYNGoSDgwMpKSmY3N3d2bRpE2PGjOHo0aN8+umn9OvXjxMnTjBx4kSSk5Pp3bs3rq6utGvXjnbt2lGlShUqwuXLl/H19aV///5MnjwZb29vgoODWbx4Mffv32fw4MG4uLjw+eefY3JxcSEmJoaYmBjmzJnD7Nmz8fLyokmTJjyNy5cvExcXhykxMZHo6Gg8PDyoW7cu7u7uHD16lJCQEBYtWkRISAhz5swhMzMTZ2dnNm3axPbt21m6dClOTk6IiIjI88tAREREROTPLBYLISEhxMbGcufOHUaOHMnhw4cZNmwYERERuLi4cPz4cXbu3EmbNm04fPgw27ZtY8KECVSk/Px8Jk+eTGBgIHv37iUmJgZT9+7dadeuHYmJiVgsFkJCQli2bBkFBQWYunXrxoEDB1i/fj1t27blx3j48CFPmjlzJlu3biU7OxsvLy82bdpE586dsVgseHt78+jRIywWC6tWraJVq1bk5eURExODycHBgVq1aiEiIiJiICIiIiLyf3Xq1IkePXoQHx+Pu7s777//PkuXLuXo0aMcPnyYTz75hLfeegtT1apVqV69OhXt0qVLODs707x5c/Lz8zly5Ahbt27l3r17BAUFsW7dOi5fvkzNmjV55ZVXiIuLoyIsWLCAX/3qV5w7d44y9erVw9/fn8jISDp27Mivf/1r9uzZg8nR0ZHo6Gh2795Namoqp0+fJjQ0lPHjxyMiIiLyJAMRERERee7k5+dz9epVfsisWbNIS0vj0qVLBAQEMGnSJD799FP27t1LfHw8LVq0oDK99NJLODk50blzZ15//XV+97vf8fnnn+Pn50eTJk2YOHEiAwYM4OOPP2b27Nl4e3tTEfLz83n99dcJCAhg//79lPHx8SEnJ4f9+/fzwQcfcOjQIc6dO4fJ09OTpKQkDh06xMqVKwkICGDw4MGIiIiIPMlARERERJ5ZH330ESUlJZQpKSkhJCSEgIAAfH198ff3p6ioiCe5urri4+NDdHQ0psGDB7Ny5UoiIiJ48cUXqSgFBQVkZGRQWFjIkxwcHFi7di0HDx7kD3/4A59++imfffYZOTk53Lt3D39/f7KysrDZbLi6uuLt7U1FaNasGbVr12bNmjXExsayYsUKTFarlaCgIGw2G7Vr18bf35+IiAjKdOrUieXLlxMXF8fLL7+MiIiISHkGIiIiIvLMKiwsJDk5mc8++4zS0lKWLVtG7dq1SU1NZefOnRQXFxMREUF5fn5+XLhwgYyMDCrDyZMnGTt2LElJSQwbNozCwkLKq1OnDg8ePMBut7N+/XratGmDs7MzJmdnZypaixYtuHTpEk2bNmX9+vUcPHiQ2bNnU1JSQp8+fWjYsCGrV6/G19eX77//nt27dyMiIiLytzAQERERkWeWq6srcXFx3L17F9OpU6fw9PTE5OTkhM1mY+vWrVy8eJEnVa1aFZvNhpubG09r7969nDhxAlNeXh7+/v7s2LGDdevWsW7dOpo0aUJsbCzlnTlzhl/+8pf07duX7777juXLl1OZmjVrxuXLl7l58ybh4eEUFxfj4ODA6NGjycvLIzg4mKSkJO7cuYPNZqNZs2aIiIiI/C0MREREROSZ1bJlSwYOHMjly5cxDIPmzZuTnp5OmQYNGtCvXz927dpFeV27dsXDw4Mfq6CggF27dmEYBlarFdMLL7yA6ZtvvsHZ2RlTSEgIqampXLp0iSe1b9+ejIwMduzYwaxZs7BarVSmRo0akZOTw8iRI+nYsSObNm0iKiqKV199laFDh2K325k/fz6Ojo54enrSrFkzRERERP4WBiIiIiLyzPL09CQwMJCDBw/y5ZdfMmrUKLZs2UJ2djZlGjduTGlpKRUtKyuL7OxsXnvtNY4ePUpKSgqm4OBgvv76a3JycjA1atSIsWPHEh0dTXlOTk5UqVKFfwSLxYKbmxsJCQm89dZbGIaBacKECQQGBlK1alX69etHrVq1EBEREfl7GIiIiIjIz15paSnfffcdjx49ojwXFxcmTpxIZGQkzZs3x8/Pj4kTJ3Ly5EkyMzPZu3cvQ4YMoaLl5eVhsVgwde7cmSVLlnDnzh3c3d0ZNWoUCxcupExAQADnz5/n8OHD/DM1a9aMb7/9lvL69u1L06ZNEREREfkxDERERETkZ+3MmTMMGjSIGTNm8Oqrr/LFF19Q3jvvvENBQQGbN2+mb9++jB8/nqVLl7Jt2zYSEhJo1KgRFa1atWp8//33mLy8vOjSpQvx8fGYJk+ezIkTJ/iP//gPTNWqVWPRokW8+OKL/DM1b96cL774AhEREZGKZCAiIiIiP1vFxcVMnz6dpKQkUlJSmDNnDhMnTuTGjRs8ydHRkfDwcObNm0dgYCBvvPEGa9asISoqikaNGlEZ2rZty/Hjx7Hb7ZgCAwNJTU3l0qVL1KxZk2nTphEZGcnjx48xeXl50bRpU/6ZWrVqRd26dRERERGpSAYiIiIi8pN2+/ZtEhISeFJgYCAlJSWcP38eZ2dn6tevz61bt0hPT6d169YUFRVRXpcuXTh27BgbN26kTp06VLaWLVtSvXp1Dhw4gMnNzY3Ro0cTHR2NadiwYYwdOxa73c5PRY8ePZg0aRIiIiIiFclARERERH7SqlevzubNm9m9ezem77//njNnzmC1WmncuDGXLl0iNjYWPz8/Xn31VVatWsWVK1coLCykvBo1amCxWKhIp0+f5ty5c/yQSZMm8W//9m8UFRVhevfddzl37hwZGRkYhsGQIUNwcHBARERE5FlmICIiIiI/SefPnyctLQ1HR0eCgoJYuHAhxcXFXLx4kVatWmGqU6cOffv2Zf/+/WzcuJE+ffpgCgsLo6ioiMo2bdo04uPjGTduHGlpaZTXv39/3N3dmTt3LqWlpVSvXh2bzYabmxsiIiIizwsDEREREflJ2bdvHydPnsTBwQEHBwdMv/zlL3F3d2flypVcuHCBZs2aUSYoKIi7d+8SGxvL2bNniY6OpmvXrri4uFBZVqxYQUxMDB06dCA5OZmkpCSioqK4ceMG5S1atIjvvvuOGTNmcPv2bbp3746HhwciIiIizwsDEREREflJuXv3LmFhYbi7u/Ov//qvhIaGYgoODmblypUcO3aM5ORkwsPDuX79Oi4uLmzYsIHbt28TExODh4cHUVFRVIbt27cTFxfHyy+/TFJSEs2bN8fUvn17BgwYwOLFiynP2dmZVatW4eHhwfDhw/noo494/PgxIiIiIs8LAxERERH5SRk0aBAODg6kpKTQtm1b9u3bx8mTJ/Hw8GDQoEFkZmayZcsWHB0dGTBgAHPnzuXx48dERkaSnJzM8OHDsVgsVKRbt27h5+fHjh07GDx4MB06dGDAgAHs2LGDMu+//z7p6emcPn2a8qxWK1OnTmXLli3079+fKlWqICIiIvK8MBARERGRfwq73U58fDz37t3jSRaLhZCQEGJjYzEMg6lTpxIZGUlpaSlTp07F2dmZ/Px8goKC2LNnD40aNeLhw4dUNLvdzvXr1yktLaVu3brY7XZu3LiBm5sbpg8++IC9e/dy7tw5THXq1GHKlClERkZit9v5IVWrVqVx48aIiIiIPE8MREREROSfwmKxcOHCBeLj4ymvU6dO9OjRg/j4eEaOHElJSQmbNm2iVq1aTJ06lcjISOx2Oy4uLrz77rs0bdqUivT73/+eQYMGMW7cOAYNGsSdO3cIDQ3l22+/5dKlS5jq1auHv78/kZGRlBk1ahQjR47EbrcjIiIiIv/NQERERET+aWbPns3GjRu5cuUK5c2aNYu0tDSuXr1KcHAwS5Ys4d69e7z11luMHDmS0tJSKsOtW7cIDg4mOTmZXbt20axZMyIiInB3d+ftt99myZIllPH19SU3N5fdu3djcnBwYNCgQRiGgYiIiIj8NwMRERERqXT79u3j5MmTlHnw4AFhYWEsWLCAevXqERUVRXmurq74+PgQHR1N9+7deemll0hISKBKlSoMGTKEKlWqUFFu3LjB/fv3MeXk5ODq6krdunUpKCjAtHPnTs6cOcOUKVM4ceIEWVlZmKxWKzabjWbNmiEiIiIiP8xARERERCrd3bt3CQsLo7S0FFNYWBgNGjQgLi6OpUuXcurUKY4cOUJ5fn5+XLhwgYyMDD788EO8vLyoSPn5+fj6+jJ16lR69+7NZ599Rrt27fjkk084ffo0EyZMYPDgwfj5+REeHk716tWZPn06UVFRPH78GJOnpyfNmjVDRERERH6YgYiIiIhUukGDBuHg4EBKSgqmb7/9lg4dOmBq0aIFwcHBREVF8ejRI55UtWpVbDYbbm5uNG7cGG9vb55GYmIiBQUFlPnwww955513SElJYf369Sxbtoxjx45htVqZPn06CxcupEePHri7u3P37l2GDRtGo0aNGDt2LHa7HRERERH56wxEREREpNJZLBZCQkKIjY3lzp07tGvXjt27d1PmzTffpLCwkHXr1lFe165d8fDwoCJcvnyZuLg4ymRmZuLp6UlJSQl79uyhfv36ODo6Yrp//z63b9/m3r17bNu2jQ0bNrBgwQJeeeUVhgwZgoODAyIiIiLy1xmIiIiISKUpLS1l3Lhx5OTk0KlTJ3r06EF8fDxjxowhLS2NixcvYqpSpQqdOnUiISGBvLw8KsvMmTPZunUr2dnZmNzd3YmNjWXYsGEYhkFKSgouLi5cuXKFmTNnMm7cOIYOHcqYMWOoVasWLVq0QERERET+PgYiIiIiUmkMw6B169YsWLAA06xZs0hLS8M0evRo3nvvPbKzszl06BCOjo5ERETg5OREZalXrx7+/v5ERkZiGjNmDCkpKcTHx+Pv74/VamXNmjWcO3eO4cOHk5GRwbZt2+jVqxciIiIi8uMYiIiIiEiFysjIYO7cuZSZPHkyp06dIjMzE1dXV3x8fIiOjmbGjBn07NkTX19f0tLSmD17Nn369KFmzZpUJh8fH3Jycti/fz+DBw+mW7duzJs3jy+//JKUlBS+/fZbvL29MdWsWRNHR0dERERE5MczEBEREZGn9uDBAy5cuMCjR49o164du3fv5o9//CMmZ2dnpk+fTlRUFI8fP8bPz48LFy5w5MgRgoKCOHLkCPHx8bzwwgtUpJycHG7evEl5VquVoKAgbDYbDx8+JD4+nvbt27N48WJyc3NZvXo11apVQ0REREQqhoGIiIiI/F3u3LnDtWvXKLN27VqGDx9OYGAg/fr14+7du0yePJmIiAjsdjumIUOGUFhYyPr166latSo2mw03NzeeVklJCStWrOBJubm5jB07lqCgIAYMGMDSpUspr0+fPjRs2JDVq1fj5OTE+++/z6pVq5g2bRrOzs6IiIiISMUxEBEREZG/y6JFi1i/fj2mI0eOsGvXLtLS0khLS+NXv/oVkyZNYvjw4dy/f5/NmzdjMgyDTp06sWzZMvLz8+natSseHh48LavVSnp6Ovv27WP79u2Ypk2bhq+vL+vWrWPTpk1s2LCBbdu2UV5wcDBJSUnk5eUhIiIiIpXHQERERET+Lt26dePYsWOY/vjHP9K+fXusViumadOmUaVKFTZv3sycOXOw2Wx88803ZGRkYBgGYWFhWK1WKordbsfV1ZVp06ZRt25d7HY7p0+fxtPTE1OjRo2YM2cOixYt4tGjRzypZcuWzJ8/H0dHR0RERESk8hiIiIiIyP9q+vTp7Nu3jzI9evTg/PnzFBQU0KxZMw4fPozdbsdUpUoVfHx82LVrF927dycgIIDx48ezefNmAgMDef3113F2dqaiWCwWBg4ciLu7O7m5uVgsFjw8PEhPT6fMG2+8gaOjI6dOnaK8fv36UatWLURERESk8hiIiIiIyP/qP//zPwkLC+Pw4cOYatWqRbt27cjKyqJ37948ePCA1NRUyjRu3JjHjx9j8vX15fjx48TExODi4kJl8Pb2Jjg4mMWLF3P//n3GjBlDXFwcDx48wGSxWHBzc+Px48eIiIiIyD+egYiIiIj8hdOnT/OkV155hYEDBzJ//nyysrIw9erVi2PHjmG1WomMjGTBggVs3bqV8+fPEx8fj6+vLxWtuLiY3Nxcfkj37t1p164diYmJDB8+nAYNGvDee+9x8eJFUlJSePjwIV27dkVERERE/vEMREREROR/XLlyBX9/fz7++GPK9OrVi/Pnz7NixQqCg4P54osv6NWrF8ePH8fUvXt3PvroI7Zv305cXBxTpkyhd+/eVKTU1FSGDh3K+PHjGT58OLdu3aK8oKAg1q1bx9WrV/nggw9o0aIFv/3tb7l27RqffPIJhmEgIiIiIv94BiIiIiLyP5o2bcqqVatISkpi9erVmDp06MDZs2dp3Lgxy5cv54MPPqC0tJSioiJycnIwde3alaSkJJYvX46npycV6auvviIlJYW0tDR27txJx44dmTx5Mo8fP+ZJTZo0YeLEiQwYMIC1a9cya9Ysfve73zF9+nSqVq2KiIiIiPxzGIiIiIjIX2jTpg2rV68mISGBzz77DAcHBzp16kRWVhatW7cmNjaW6dOn4+HhwfHjx6kI58+fZ9OmTZS5ceMGCxYswJSZmUmHDh2wWq2cPXuWs2fP0rJlS4qKiijP39+frKwsbDYbIiIiIvLTYCAiIiIi/4/WrVuzevVq4uLi2LhxI7169SIjIwNT+/btsdlsnDlzhry8PCqC1WolMjKS77//HlNmZiZFRUWY3N3dOXr0KCEhISxatIiQkBDmzJlDZmYmP8TZ2RkRERER+ekwEBEREZEf1KpVK1atWsWSJUsoKiri2LFjlPH09OTgwYNMnjyZp7F3715OnDiBu7s7w4YNY+HChZguXrxIy5YtMXl7e/Po0SMsFgurVq2iVatW5OXlERMTg4iIiIj89BmIiIiIyP9Xq1at+PTTT1mxYgV5eXlcunSJMi4uLvxYiYmJFBQUYBgGVqsV0+TJk8nKyuLEiRNcvHiR5s2bY3J0dCQ6Oprdu3eTmprK6dOnCQ0NZfz48YiIiIjIT5+BiIiIiPyvWrVqxccff8ywYcOoW7cuFeHy5cvExcXx2muvcfToUVJSUqhZsybTp08nMjKSCxcuMG3aND755BMKCwvx9PQkKSmJQ4cOsXLlSgICAhg8eDAiIiIi8tNnICIiIiJ/VcuWLQkKCqJmzZpUhJkzZ7J161ays7Pp3LkzS5Ys4c6dOwwdOpTS0lJcXFz4+OOPOXXqFL1792bFihW0aNGC5cuXExcXx8svv4yIiIiI/DwYiIiIiEilyc/PZ8WKFZRXr149/P39iYyMxMvLiy5duhAfH49hGISGhnL16lXc3NxYtmwZa9aswWKxUFpaioiIiIj8/BiIiIiISKWpUaMG69ev59ChQ5Tn4+NDTk4O+/fvJzAwkNTUVC5dukSXLl3o2rUrCQkJmJo3b05AQAD/8i//goiIiIj8/BiIiIiISKVxcnJi9uzZLFiwgIcPH/Ikq9VKUFAQNpuNevXqMXr0aKKjozEFBgbi5eWFiIiIiPz8GYiIiIhIhUhMTKSgoIAyOTk5TJ06lfT0dG7dusWaNWsor0+fPjRs2JDVq1fz7rvvcu7cOTIyMmjYsCHe3t6IiIiIyM+fgYiIiIhUiMuXLxMXF0cZHx8f/Pz8sNlszJs3j4SEBP70pz9RXnBwMElJSRQWFmKz2XBzc0NEREREnh0GIiIiIlIhZs6cydatW8nOzub+/ftcv36dNm3aYHrzzTfp06cPMTExlNeyZUvmz5+Po6Mj3bt3x8PDAxERERF5dhiIiIiISIWoV68e/v7+REZGUqNGDRo3bsyBAwcoM2HCBFJTU/n6668pr1+/ftSqVQsRERERefYYiIiIiMhTycnJYdy4cTx69AgfHx9ycnLYv38/Pj4+xMbGUlxcjKlJkybUr1+f8PBw7HY7IiIiIvJ8MBARERGRp+Lm5sa9e/dYt24dVquVoKAgbDYbb775JrVr1yYwMJDc3FySkpIYN24c77zzDna7HRERERF5PhiIiIiIyN9t2bJlpKamYrJYLISGhrJ8+XL+67/+iz59+tCwYUPWrl1LQkICRUVFjBgxgtu3bzN69Gj69++PYRiIiIiIyPPBQERERET+Jvn5+Vy9ehVT586dWbJkCffu3cP00ksv4e3tzdKlSzEFBweTlJREaWkpiYmJHDlyhNmzZ+Pg4ICIiIiIPF8MREREROT/8c0331CmpKSEkJAQAgIC8PX1xd/fn06dOtGxY0eWL19OmalTp5KSksL58+dp2bIl8+fPx9HRERERERF5vhmIiIiIyF+4efMmQ4cO5f79+5iWLVtG7dq1SU1NZefOnRQXFxMREUFQUBAbNmzgypUrmF588UVcXV0JCwvD1K9fP2rVqoWIiIiIPN8MREREROQv1KtXjxdffJHf//73mE6dOoWnpycmJycnbDYbW7dupaSkhLFjx/Lhhx+Sm5tLcnIyY8aMYcSIEZSWliIiIiIiYjIQERERec5lZWUxdepUHjx4QJlevXpx/PhxTM2bNyc9PZ0yDRo0oF+/fuzatYvJkyfToEEDRowYwZ07dxg9ejRvvvkmhmEgIiIiImIyEBEREXnOFRUV8Yc//IFJkyZRUlKCqVevXhw/fhzTqFGj2LJlC9nZ2ZRp3LgxpaWlODg4sGTJEo4cOcLMmTOpUqUKIiIiIiJPMhARERF5zly/fp3r169TxsvLixo1atC2bVumTp3Kw4cP6dKlC9euXePmzZs0b94cPz8/Jk6cyMmTJ8nMzGTv3r0MGTIEEREREZG/xkBERETkOZOUlMTo0aO5ceMGpmrVqtG4cWNef/11GjZsyMyZM6lSpQpeXl4cP34c05QpU/D392fp0qVs27aNhIQEGjVqhIiIiIjIX2MgIiIi8pyZM2cOXbt2Zdy4ceTl5WHq2bMnGRkZzJ07F2dnZ4KCgujVqxfHjx+nzIgRI1izZg1RUVE0atQIEREREZG/hYGIiIjIc8ZisRAREUHnzp0ZO3Ys+fn59OrVi/T0dCwWCxEREZSWlpKZmUlWVhYiIiIiIk/DQEREROQ5ZLFYCA8Pp2PHjvj4+FC3bl3y8/PJz8/HMAxsNhumkpISCgoKEBERERH5sQxEREREnlMWi4Xw8HDatWtHQEAA3bp14/Dhw5gcHByIiYlh37591K5dGxERERGRH8tARERE5DlmsVgIDw+nVatWHDx4kIyMDMo4OjpSs2ZNRERERESehoGIiIjIc85isTB//nzeeusthgwZgoiIiIhIRTIQERERESwWC++//z6vvPIKIiIiIiIVyUBEREREREREREQqjYGIiIiIiIiIiIhUGgMRERERERERERGpNAYiIiIiIiIiIiJSaQxERERERERERESk0hiIiIiIiIiIiIhIpTEQERERERERERGRSmMgIiIiIiIiIiIilcZAREREREREREREKo2BiIiIiIiIiIiIVBoDERERERERERERqTQGIiIiIiIiIiIiUmn+D+w9DE1g0YqFAAAAAElFTkSuQmCC" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div><div class="inlineWrapper"><div class = 'S12'> </div></div></div><h2 class = 'S6'><span>General Preferences on Training and Guidance</span></h2><div class = 'S1'><span>Finally, we looked into the preferences of the participants in general when it comes to training, including the formats of training and where they turn to for guidance.</span></div><div class = 'S1'><span>As you might predict, people like all sorts of different training formats, even blogs and in-person lectures, which were the least popular, though still with a substantial share each.</span></div><div class = 'S1'><span>I think that this shows that offering training in a variety of formats, and perhaps </span><span style=' font-style: italic;'>designing</span><span> training to be suitable for them, might enhance the utility of the materials and help more researchers to get more out of them.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >plotTrainingPreferences(cleanedData)</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">'General preferences for training formats'</span><span >)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="982B0EE4" prevent-scroll="true" data-testid="output_11" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><div class = 'S5'><span>When it comes to seeking guidance it looks like our respondents are using a mixture of online sources as well as colleagues, but that support through their institutions are either not being used, or aren't available.</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span >plotGuidancePreferences(cleanedData)</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span >title(</span><span style="color: rgb(167, 9, 245);">'Preferences for sources of guidance'</span><span >)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsFigure" uid="F3F6249B" prevent-scroll="true" data-testid="output_12" style="width: 1137px;"><div class="figureElement eoOutputContent"><img class="figureImage figureContainingNode" 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" style="width: 1248px; padding-bottom: 0px;"></div><div class="outputLayer selectedOutputDecorationLayer doNotExport"></div><div class="outputLayer activeOutputDecorationLayer doNotExport"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport"></div></div></div></div></div><h3 class = 'S13'><span>And Finally...</span></h3><div class = 'S1'><span>Time to randomly select a respondent to receive the prize. (Although not if this is the public version!)</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S2'><span style="white-space: pre"><span style="color: rgb(14, 0, 255);">if </span><span >~ismember(</span><span style="color: rgb(167, 9, 245);">"EmailAddress"</span><span >, cleanedData.Properties.VariableNames)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > disp(</span><span style="color: rgb(167, 9, 245);">'No EmailAddress column in data. Do you have the deanonymised responses?'</span><span >);</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span style="color: rgb(14, 0, 255);">else</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > winner = </span><span style="color: rgb(167, 9, 245);">""</span><span >;</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > </span><span style="color: rgb(14, 0, 255);">while </span><span >strcmp(winner, </span><span style="color: rgb(167, 9, 245);">""</span><span >)</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > winner = cleanedData.EmailAddress(randi(size(cleanedData, 1)));</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > </span><span style="color: rgb(14, 0, 255);">end</span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > </span></span></div></div><div class="inlineWrapper"><div class = 'S3'><span style="white-space: pre"><span > fprintf(</span><span style="color: rgb(167, 9, 245);">'And the winner is %s !\n'</span><span >, string(winner));</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span style="color: rgb(14, 0, 255);">end</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper embeddedOutputsTextElement" uid="D79FA2BB" prevent-scroll="true" data-testid="output_13" style="width: 1137px; white-space: pre; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="textElement eoOutputContent" data-previous-available-width="1107" data-previous-scroll-height="17" data-hashorizontaloverflow="false" style="max-height: 261px; white-space: pre; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;">No EmailAddress column in data. Do you have the deanonymised responses?</div></div></div></div></div>
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##### SOURCE BEGIN #####
%% MATLAB Reproducibility Survey Analysis
% *Dr David Wilby*, <https://rse.shef.ac.uk Research Software Engineering Team,
% University of Sheffield>
%
% version 1
%
% As part of a fellowship from the <https://software.ac.uk/ Software Sustainability
% Institute> I'm gathering data around the opinions of researchers on topics in
% research reproducibility as they relate to MATLAB specifically.
%
% The data will be used to help inform course materials for training researchers
% who use MATLAB to use the tools available in producing research output that
% is more reproducible.'
%
% This MATLAB live script can be used to re-run the data analysis and present
% the results and is itself an example of _literate programming_ - presenting
% the analysis and conclusions alongside one another. Clone its repository from
% GitHub or download the source code as a zip archive to run it locally.
%
% Before we start, let's just do some setup.
% setup
clear %clear the workspace
filename = matlab.desktop.editor.getActiveFilename; % get name of this file
[dir,~,~] = fileparts(filename);
cd(fullfile(dir)); % move current folder to the root directory of the project
openProject("Survey.prj"); % open the project file
%%
% In the public version, we'll work with anonymised data from the survey, but
% privately, this live script was also used to randomly select one respondent
% for a GBP 50 gift card, you can see the process used at the bottom.
%
% Firstly, we'll read in the data as a table and remove a few rows which have
% been manually identified as being spurious responses.
% Read in raw data file.
data_file = fullfile("data", "raw", "anonymised_responses.csv");
warning('OFF', 'MATLAB:table:ModifiedAndSavedVarnames')
rawData = readtable(data_file,...
'VariableNamingRule','modify');
%%
% It's good research practice to include all the steps used in cleaning the
% data ready for analysis. Here, we'll also rename some columns to give them more
% concise names (since Google Forms, which was used in running the survey, uses
% the full text in the form to name columns, resulting in inconvenient names),
% for brevity, this is done in the custom function |renameColumns()|, which is
% available in the codebase.
% Remove spurious responses
cleanedData = rawData;
cleanedData([112, 113, 168, 174:179, 206], :) = [];
% Rename columns
cleanedData = renameColumns(cleanedData);
%%
% Lastly, we'll also tidy up the institution names, since this was a free text
% field in the form, this is a somewhat manual process as well, which I've achieved
% with code and included as part of the processing here.
% Make institution names uniform
cleanedData.institution = tidyInstitutions(cleanedData.institution);
%%
% Once that's done, we're ready to do some analysis. Most of these are done
% in custom functions which can be found in the |src| folder (short for "source
% code") of the repository.
%% Who makes up the study group?
% This survey was circulated via social media (e.g Twitter, Mastodon) and by
% a few mailing lists via research software engineers contacted through the RSE
% Society slack. At the University of Sheffield, where I work, it was also sent
% out to all users of MATLAB. These were chosen deliberately to target users in
% a university research setting. We can see from the raw data that the vast majority
% of respondents were based at academic research institutions, most of which were
% universities. There were no responses that needed to be removed as a result
% of being outside of this target group.
%
% One caveat is that, without targeting more user groups consisting of all MATLAB
% users, many of the respondents may have been likely to be more expert than a
% representative sample by being on RSE mailing lists, following RSEs on social
% media etc. However, as you'll see, we collected self-perceived experience levels,
% allowing the data to be categorised on that basis.
%
% To start with, I asked the respondents to indicate their self-perceived level
% of expertise with MATLAB, and with programming in general.
%
% Let's divide this up according to their reported career stage, note that it
% was possible for respondents to select multiple career stages.
plotExperienceCharts(cleanedData)
set(gcf,'Units','normalized','Position',[0 0 1 1.5]);
%%
% As you might expect, we can conclude that undergraduate students were more
% likely to perceive themselves as novices and academics were more likely to report
% that thy were competent practitioners or experts both in MATLAB and in programming
% more generally. Whilst not so useful in itself, these data can be used later
% on for us to draw some conclusions about which experience levels are relevant
% to some other requirements.
%% Awareness of and Use of Version Control
% Now we can get into the questions that provide more insight that will be relevant
% to my training course.
%
% Version control (or source code management) is an exceptionally valuable tool
% in any development of code. I wanted to know how likely our respondents were
% to use source code management tools such as *git* as well as online hosting
% and collaboration platforms such as *GitHub*. Additionally, I was interested
% to see whether there would be a difference in usage when it comes to working
% in MATLAB versus other languages.
%
% For this and the next few questions, I asked participants to respond "Not
% aware of", "Aware of but don't use", "Aware of and use with MATLAB", "Aware
% of and use outside MATLAB", and they could choose more than one if they wanted
% to. In the analysis I've derived another classification "Use outside but not
% with MATLAB" which is what it sounds like.
awarenessTable = cleanedData(:, {'role', 'matlabExperience', 'programmingExperience', 'awareness_versionControl', 'awareness_github', 'awareness_CICD', 'awareness_dataAvailability', 'awareness_dependencyMgmt', 'awareness_literateProgramming', 'awareness_docGen', 'awareness_softwareTesting'});
plotAwareness(awarenessTable, "awareness_versionControl")
title("Version control (e.g. git, subversion, mercurial, etc.)")
%%
% Without doing some statistical analysis, it is of course diffcult to draw
% precise conclusions, but let's treat the findings qualatively. (Note that if
% you want to do some stats here, you can contribute back to this repository via
% a pull request on GitHub).
%
% For this question, I was pleasantly surprised to see that ~90% of respondents
% were aware of version control, higher than perhaps I might have expected, though
% our survey respondents may have been a slightly self-selected population. What's
% particularly interesting to me here is the ~25% who use version control outside
% of MATLAB, but not with it. Depending on whether participants interpreted the
% 'Use outside MATLAB' and 'Use outside but not with MATLAB' as being equivalent
% or not (that's a lesson for me on study design!), this could be seen to be as
% high as ~50%. Without digging further into why the "Aware of but don't use"
% group responded that way, we can't tell why, but we may be able to conclude
% that out of this group of 239 MATLAB users, up to around 75% don't use version
% control when working with MATLAB, despite most being aware of it.
%
% Next, let's take a look at GitHub/GitLab/BitBucket.
plotAwareness(awarenessTable, "awareness_github")
title("Online code hosting (e.g. GitHub, GitLab, BitBucket)")
%%
% Straight away, we can see that there's an increase in awareness in relation
% to the version control tools themselves, more participants are aware of GitHub
% than they are of git, which might be a lesson to those of us who support researchers.
%
% Otherwise the pattern is broadly similar here, only 20% use GitHub when working
% with MATLAB.
% Dependency and Environment Management
% When it comes to reproducibility, managing _dependencies_ and _environment_
% - i.e. the software that your code relies upon to run - is the fundamental challenge.
% It's not an easy thing to do, but once you do, it can allow you to run your
% code almost anywhere. In many ways this is the crux of reproducibility of research
% analysis.
%
% For MATLAB, I found this a particularly difficult question to pose, and I'm
% not sure I've done the best job. Participants were asked to indicate their level
% of awareness and use of "Dependency and/or environment management (e.g. conda,
% renv, etc.)" which gives the examples |conda| and |renv| - common environment
% management tools in python and R respectively. However, to my knowledge, MATLAB
% doesn't have equivalent tools. The closest is perhaps the "<https://uk.mathworks.com/help/matlab/projects.html
% Project>", which we'll investigate further later on.
plotAwareness(awarenessTable, "awareness_dependencyMgmt")
title("Dependency and/or environment management (e.g. conda, renv, etc.)")
%%
% Here, it looks like most (if not all) of those participants who use these
% tools outside MATLAB, might not use them with MATLAB, but perhaps this is because
% conda and renv aren't relevant and participants were left to themselves to work
% out what dependency and environment managment looks like in MATLAB. However,
% some respondents do use these tools with MATLAB apparently, so I'm unsure what
% conclusion to draw here. Either way, it looks like a fairly small number use
% dependency or environment management with MATLAB, through lack of availability
% of tools or awareness of the concepts.
% Continuous Integration
% Similarly, we asked participants to indicate their level of awareness and
% use of "Continuous Integration/Deployment (e.g. automated testing, GitHub Actions,
% Travis, Jenkins etc.)".
plotAwareness(awarenessTable, "awareness_CICD")
title("Continuous Integration/Deployment")
%%
% Perhaps predictably, awareness was lower for this slightly more advanced concept,
% but still fairly high at >80%. However, use of these tools with MATLAB was <10%,
% even with tools being available such as <https://github.com/matlab-actions/overview
% GitHub actions for MATLAB>.
% Literate Programming
% An esoteric, but valuable, concept in research code, literate programming
% is something that MATLAB is fairly well tooled up for, look at this here livescript
% for proof! So I was interested to see what our participants had to say.
%
% Once again for this set of questions, some test of comprehension of what was
% meant by "literate programming" might have been beneficial, but examples were
% given as "Literate programming (e.g. jupyter notebooks, rmarkdown, live scripts,
% quarto)".
plotAwareness(awarenessTable, "awareness_literateProgramming")
title("Literate programming")
%%
% Understandably, we see greater usage in MATLAB, though still not as many respondents
% who are aware but don't use the tools, or use them outside of MATLAB exclusively.
% Software Testing
% Similarly to some of the above concepts, software testing is a valuable tool
% in improving code reliability, though not _strictly essential_ for reproducibility.
% Personally I think that the test framework and tools available in MATLAB are
% excellent, so I was interested to see what the survey had to say.
plotAwareness(awarenessTable, "awareness_softwareTesting")
title("Software Testing")
%%
% Here we see a big group of participants who are aware of testing but don't
% use it, but also a large number who do use it in MATLAB. Still there are many
% who use testing outiside of MATLAB but not inside.
%% Usage of Git with MATLAB
% Next up, I was interested to know how about how researchers who use git choose
% to interact with it. There are many interfaces available for git, including
% tools built into the MATLAB IDE itself.
%
% The question _verbatim_ was "*Do you use* <https://git-scm.com/ *git*> *as
% a version control system with MATLAB? If so, which interface(s) do you use?"*
gitTable = cleanedData(:, {'role', 'matlabExperience', 'programmingExperience', 'gitUsage'});
barVals = [height(gitTable(contains(gitTable.gitUsage, "I don't use git with MATLAB"), :)) ...
height(gitTable(contains(gitTable.gitUsage, "git's command line interface") & ~contains(gitTable.gitUsage, "I don't use git with MATLAB"), :)) ...
height(gitTable(contains(gitTable.gitUsage, "Other development environment git interface (e.g. VScode, Rstudio, PyCharm)") & ~contains(gitTable.gitUsage, "I don't use git with MATLAB"), :)) ...
height(gitTable(contains(gitTable.gitUsage, "GitHub Desktop") & ~contains(gitTable.gitUsage, "I don't use git with MATLAB"), :)) ...
height(gitTable(contains(gitTable.gitUsage, "MATLAB's source control tools") & ~contains(gitTable.gitUsage, "I don't use git with MATLAB"), :)) ...
height(gitTable(contains(gitTable.gitUsage, "GitKraken Client") & ~contains(gitTable.gitUsage, "I don't use git with MATLAB"), :)) ...
];
labels = {'I don''t use git with MATLAB', 'git CLI', 'Other IDE', 'GitHub Desktop','MATLAB''s source control', 'GitKraken Client'};
x = categorical(labels);
x = reordercats(x,labels);
bar(x, barVals);
ylabel('Number of respondents')
%%
% Immediately we can see that the biggest group here are those who choose not
% to use git with MATLAB at all. I haven't analysed how many of this group don't
% use git at all, though you _could_ contribute that analysis via a pull request
% :D
%
% Out of those who use git when working with MATLAB there's a fairly even spread
% across the interfaces mentioned including the native git command line interface,
% tools in _other_ IDEs such as VScode or pycharm, GUIs such as GitHub Desktop
% or GitKraken client, and a fairly good chunk of users who do use the tools built
% into MATLAB itself. It's worth pointing out here that the git integration in
% the GUI seems to have some nice impovements in the new MATLAB IDE launched recently
% in R2023a.
%% Usage of MATLAB Tools and Features
% Next up, participants were asked to indicate which of a list of MATLAB features
% relating to reproducibility and code quality that they use.
matlabToolsTable = cleanedData(:, {'role', 'matlabExperience', 'programmingExperience', 'matlabFeatures'});
barVals = 100*[height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, "Functions"), :)) ...
height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, "Classes and Object-Oriented Programming"), :)) ...
height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, "Projects"), :)) ...
height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, "MATLAB's source control integration"), :)) ...
height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, "Testing"), :)) ...
height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, "Live Scripts"), :)) ...
height(matlabToolsTable(contains(matlabToolsTable.matlabFeatures, "Custom toolbox development"), :)) ...
]/height(matlabToolsTable);
labels = {'Functions', 'Classes and OOP', 'Projects', 'MATLAB source control', 'Testing', 'Live Scripts', 'Custom Toolbox Dev'};
x = categorical(labels);
x = reordercats(x,labels);
bar(x, barVals)
ylabel(strcat("% of ", num2str(height(matlabToolsTable)), " respondents"))
%%
% Out of the list, language features such as functions and classes were the
% most popular, but live scripts also see a high level of usage here as well,
% which is great. The other tools such as projects, source control, testing and
% custom toolbox development, see less use by this group, but still a fairly high
% proportion at around 20%.
%% Demand for training
% Importantly, I wanted to find out what the relative demand for learning some
% of these concepts and tools might be, as well as the training formats preferred.
%
% Across the topics asked about (Projects, testing, live scripts, version control,
% toolbox development, publication and licensing) there was a consistent demand
% for training of around 25-30% of participants indicating some kind of demand.
% The preference for structured training versus self-guided learning varied between
% topics, with some of the perhaps more _difficult_ topics leaning more strongly
% towards structured training, though there was a substantial demand for both
% for every topic. This is something I was keen to know about with regards to
% whether when developing materials one should consider the different demands
% of these two formats.
%
% There aren't any particularly stark findings here, the message seems to be
% that there's a mixed bag of attitudes towards demand for training in these areas
% with no striking spikes or absences.
%
% Interestingly though, when it comes to software licensing, in comparison to
% the other topics asked about here, there was a rise in lack of interest for
% training, but a drop in those participants who were already familiar with the
% topic. When it comes to reproducibility and open research, licensing is what
% legally allows other people to use your code, so whilst the participants indicated
% a lack of demand for training here, I might suggest that this result indicates
% a greater need for it.
t=tiledlayout("flow");
title(t, strcat("Demand for Training (% of 239 respondents)"))
nexttile
h = plotTrainingDemand(cleanedData, "trainingDemand_projects");
title("MATLAB Projects")
nexttile
plotTrainingDemand(cleanedData, "trainingDemand_testing");
title("Testing")
nexttile
plotTrainingDemand(cleanedData, "trainingDemand_livescripts");
title("Live Scripts")
nexttile
plotTrainingDemand(cleanedData, "trainingDemand_versioncontrol");
title("Version Control")
nexttile
plotTrainingDemand(cleanedData, "trainingDemand_customtoolboxes");
title("Custom Toolbox Development")
nexttile
plotTrainingDemand(cleanedData, "trainingDemand_publishingcode");
title("Publishing code")
nexttile
plotTrainingDemand(cleanedData, "trainingDemand_licensing", true);
title("Software Licensing")
stackedBarLabels = {'Novice', 'Competent Practitioner', 'Expert'};
l = legend(flip(h), flip(stackedBarLabels), "Location","northeast");
l.Layout.Tile = 8;
%% General Preferences on Training and Guidance
% Finally, we looked into the preferences of the participants in general when
% it comes to training, including the formats of training and where they turn
% to for guidance.
%
% As you might predict, people like all sorts of different training formats,
% even blogs and in-person lectures, which were the least popular, though still
% with a substantial share each.
%
% I think that this shows that offering training in a variety of formats, and
% perhaps _designing_ training to be suitable for them, might enhance the utility
% of the materials and help more researchers to get more out of them.
plotTrainingPreferences(cleanedData)
title('General preferences for training formats')
%%
% When it comes to seeking guidance it looks like our respondents are using
% a mixture of online sources as well as colleagues, but that support through
% their institutions are either not being used, or aren't available.
plotGuidancePreferences(cleanedData)
title('Preferences for sources of guidance')
% And Finally...
% Time to randomly select a respondent to receive the prize. (Although not if
% this is the public version!)
if ~ismember("EmailAddress", cleanedData.Properties.VariableNames)
disp('No EmailAddress column in data. Do you have the deanonymised responses?');
else
winner = "";
while strcmp(winner, "")
winner = cleanedData.EmailAddress(randi(size(cleanedData, 1)));
end
fprintf('And the winner is %s !\n', string(winner));
end
##### SOURCE END #####
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