sentiment-analysis-model-using-r.r

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/amirmotefaker/sentiment-analysis-model-using-r?scriptVersionId=190923628\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"markdown","id":"82f5670b","metadata":{"_execution_state":"idle","_uuid":"051d70d956493feee0c6d64651c6a088724dca2a","papermill":{"duration":0.010361,"end_time":"2024-08-02T15:44:42.599449","exception":false,"start_time":"2024-08-02T15:44:42.589088","status":"completed"},"tags":[]},"source":["# What is Sentiment Analysis?\n","- Sentiment analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral. Today, companies have large volumes of text data like emails, customer support chat transcripts, social media comments, and reviews. Sentiment analysis tools can scan this text to automatically determine the author’s attitude towards a topic. Companies use the insights from sentiment analysis to improve customer service and increase brand reputation. \n","# Why is sentiment analysis important?\n"," - Provide objective insights\n"," - Build better products and services\n"," - Analyze at scale\n"," - Real-time results\n"," \n","# What are sentiment analysis use cases?\n","  - Improve customer service\n","  - Brand monitoring\n","  - Market research\n","  - Track campaign performance\n","  \n","# What are the different types of sentiment analysis?\n"," - Fine-grained scoring\n"," - Aspect-based\n"," - Intent-based\n"," - Emotional detection\n"," \n","\n","##### Reference : [Amazon](https://aws.amazon.com/what-is/sentiment-analysis/)\n","\n","\n","# Sentiment Analysis Model:\n","- We will carry out sentiment analysis with R in this project. The dataset that we will use will be provided by the R package ‘janeaustenR’.\n","\n","## janeaustenr: Jane Austen's Complete Novels:\n","- Full texts for Jane Austen's 6 completed novels, ready for text analysis. These novels are \"Sense and Sensibility\", \"Pride and Prejudice\", \"Mansfield Park\", \"Emma\", \"Northanger Abbey\", and \"Persuasion\". [janeaustenr](https://cran.r-project.org/web/packages/janeaustenr/index.html)\n","\n","\n","- In order to build our project on sentiment analysis, we will make use of the tidytext package that comprises sentiment lexicons that are present in the dataset of ‘sentiments’."]},{"cell_type":"markdown","id":"32722389","metadata":{"papermill":{"duration":0.010398,"end_time":"2024-08-02T15:44:42.618678","exception":false,"start_time":"2024-08-02T15:44:42.60828","status":"completed"},"tags":[]},"source":["# Install Libraries"]},{"cell_type":"code","execution_count":1,"id":"7b16a192","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:44:42.640844Z","iopub.status.busy":"2024-08-02T15:44:42.638556Z","iopub.status.idle":"2024-08-02T15:45:57.766613Z","shell.execute_reply":"2024-08-02T15:45:57.763642Z"},"papermill":{"duration":75.143458,"end_time":"2024-08-02T15:45:57.771037","exception":false,"start_time":"2024-08-02T15:44:42.627579","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["Installing package into ‘/usr/local/lib/R/site-library’\n","(as ‘lib’ is unspecified)\n","\n","Installing package into ‘/usr/local/lib/R/site-library’\n","(as ‘lib’ is unspecified)\n","\n","also installing the dependencies ‘pillar’, ‘rlang’, ‘tibble’, ‘vctrs’, ‘dplyr’\n","\n","\n","Warning message in install.packages(\"tidytext\"):\n","“installation of package ‘rlang’ had non-zero exit status”\n","Warning message in install.packages(\"tidytext\"):\n","“installation of package ‘vctrs’ had non-zero exit status”\n","Warning message in install.packages(\"tidytext\"):\n","“installation of package ‘pillar’ had non-zero exit status”\n","Warning message in install.packages(\"tidytext\"):\n","“installation of package ‘tibble’ had non-zero exit status”\n","Warning message in install.packages(\"tidytext\"):\n","“installation of package ‘dplyr’ had non-zero exit status”\n","Warning message in install.packages(\"tidytext\"):\n","“installation of package ‘tidytext’ had non-zero exit status”\n"]}],"source":["install.packages(\"janeaustenr\")\n","install.packages(\"tidytext\")"]},{"cell_type":"markdown","id":"8c27b582","metadata":{"papermill":{"duration":0.012338,"end_time":"2024-08-02T15:45:57.798276","exception":false,"start_time":"2024-08-02T15:45:57.785938","status":"completed"},"tags":[]},"source":["# Import Libraries"]},{"cell_type":"code","execution_count":2,"id":"6d293e13","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:45:57.884929Z","iopub.status.busy":"2024-08-02T15:45:57.825887Z","iopub.status.idle":"2024-08-02T15:45:59.2688Z","shell.execute_reply":"2024-08-02T15:45:59.266779Z"},"papermill":{"duration":1.460352,"end_time":"2024-08-02T15:45:59.27154","exception":false,"start_time":"2024-08-02T15:45:57.811188","status":"completed"},"tags":[]},"outputs":[],"source":["library(tidytext)"]},{"cell_type":"code","execution_count":3,"id":"59c74a16","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:45:59.293784Z","iopub.status.busy":"2024-08-02T15:45:59.292035Z","iopub.status.idle":"2024-08-02T15:45:59.370272Z","shell.execute_reply":"2024-08-02T15:45:59.367951Z"},"papermill":{"duration":0.092665,"end_time":"2024-08-02T15:45:59.373362","exception":false,"start_time":"2024-08-02T15:45:59.280697","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<table class=\"dataframe\">\n","<caption>A tibble: 6786 × 2</caption>\n","<thead>\n","\t<tr><th scope=col>word</th><th scope=col>sentiment</th></tr>\n","\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n","</thead>\n","<tbody>\n","\t<tr><td>2-faces      </td><td>negative</td></tr>\n","\t<tr><td>abnormal     </td><td>negative</td></tr>\n","\t<tr><td>abolish      </td><td>negative</td></tr>\n","\t<tr><td>abominable   </td><td>negative</td></tr>\n","\t<tr><td>abominably   </td><td>negative</td></tr>\n","\t<tr><td>abominate    </td><td>negative</td></tr>\n","\t<tr><td>abomination  </td><td>negative</td></tr>\n","\t<tr><td>abort        </td><td>negative</td></tr>\n","\t<tr><td>aborted      </td><td>negative</td></tr>\n","\t<tr><td>aborts       </td><td>negative</td></tr>\n","\t<tr><td>abound       </td><td>positive</td></tr>\n","\t<tr><td>abounds      </td><td>positive</td></tr>\n","\t<tr><td>abrade       </td><td>negative</td></tr>\n","\t<tr><td>abrasive     </td><td>negative</td></tr>\n","\t<tr><td>abrupt       </td><td>negative</td></tr>\n","\t<tr><td>abruptly     </td><td>negative</td></tr>\n","\t<tr><td>abscond      </td><td>negative</td></tr>\n","\t<tr><td>absence      </td><td>negative</td></tr>\n","\t<tr><td>absent-minded</td><td>negative</td></tr>\n","\t<tr><td>absentee     </td><td>negative</td></tr>\n","\t<tr><td>absurd       </td><td>negative</td></tr>\n","\t<tr><td>absurdity    </td><td>negative</td></tr>\n","\t<tr><td>absurdly     </td><td>negative</td></tr>\n","\t<tr><td>absurdness   </td><td>negative</td></tr>\n","\t<tr><td>abundance    </td><td>positive</td></tr>\n","\t<tr><td>abundant     </td><td>positive</td></tr>\n","\t<tr><td>abuse        </td><td>negative</td></tr>\n","\t<tr><td>abused       </td><td>negative</td></tr>\n","\t<tr><td>abuses       </td><td>negative</td></tr>\n","\t<tr><td>abusive      </td><td>negative</td></tr>\n","\t<tr><td>⋮</td><td>⋮</td></tr>\n","\t<tr><td>wrestle     </td><td>negative</td></tr>\n","\t<tr><td>wretch      </td><td>negative</td></tr>\n","\t<tr><td>wretched    </td><td>negative</td></tr>\n","\t<tr><td>wretchedly  </td><td>negative</td></tr>\n","\t<tr><td>wretchedness</td><td>negative</td></tr>\n","\t<tr><td>wrinkle     </td><td>negative</td></tr>\n","\t<tr><td>wrinkled    </td><td>negative</td></tr>\n","\t<tr><td>wrinkles    </td><td>negative</td></tr>\n","\t<tr><td>wrip        </td><td>negative</td></tr>\n","\t<tr><td>wripped     </td><td>negative</td></tr>\n","\t<tr><td>wripping    </td><td>negative</td></tr>\n","\t<tr><td>writhe      </td><td>negative</td></tr>\n","\t<tr><td>wrong       </td><td>negative</td></tr>\n","\t<tr><td>wrongful    </td><td>negative</td></tr>\n","\t<tr><td>wrongly     </td><td>negative</td></tr>\n","\t<tr><td>wrought     </td><td>negative</td></tr>\n","\t<tr><td>yawn        </td><td>negative</td></tr>\n","\t<tr><td>yay         </td><td>positive</td></tr>\n","\t<tr><td>youthful    </td><td>positive</td></tr>\n","\t<tr><td>zap         </td><td>negative</td></tr>\n","\t<tr><td>zapped      </td><td>negative</td></tr>\n","\t<tr><td>zaps        </td><td>negative</td></tr>\n","\t<tr><td>zeal        </td><td>positive</td></tr>\n","\t<tr><td>zealot      </td><td>negative</td></tr>\n","\t<tr><td>zealous     </td><td>negative</td></tr>\n","\t<tr><td>zealously   </td><td>negative</td></tr>\n","\t<tr><td>zenith      </td><td>positive</td></tr>\n","\t<tr><td>zest        </td><td>positive</td></tr>\n","\t<tr><td>zippy       </td><td>positive</td></tr>\n","\t<tr><td>zombie      </td><td>negative</td></tr>\n","</tbody>\n","</table>\n"],"text/latex":["A tibble: 6786 × 2\n","\\begin{tabular}{ll}\n"," word & sentiment\\\\\n"," <chr> & <chr>\\\\\n","\\hline\n","\t 2-faces       & negative\\\\\n","\t abnormal      & negative\\\\\n","\t abolish       & negative\\\\\n","\t abominable    & negative\\\\\n","\t abominably    & negative\\\\\n","\t abominate     & negative\\\\\n","\t abomination   & negative\\\\\n","\t abort         & negative\\\\\n","\t aborted       & negative\\\\\n","\t aborts        & negative\\\\\n","\t abound        & positive\\\\\n","\t abounds       & positive\\\\\n","\t abrade        & negative\\\\\n","\t abrasive      & negative\\\\\n","\t abrupt        & negative\\\\\n","\t abruptly      & negative\\\\\n","\t abscond       & negative\\\\\n","\t absence       & negative\\\\\n","\t absent-minded & negative\\\\\n","\t absentee      & negative\\\\\n","\t absurd        & negative\\\\\n","\t absurdity     & negative\\\\\n","\t absurdly      & negative\\\\\n","\t absurdness    & negative\\\\\n","\t abundance     & positive\\\\\n","\t abundant      & positive\\\\\n","\t abuse         & negative\\\\\n","\t abused        & negative\\\\\n","\t abuses        & negative\\\\\n","\t abusive       & negative\\\\\n","\t ⋮ & ⋮\\\\\n","\t wrestle      & negative\\\\\n","\t wretch       & negative\\\\\n","\t wretched     & negative\\\\\n","\t wretchedly   & negative\\\\\n","\t wretchedness & negative\\\\\n","\t wrinkle      & negative\\\\\n","\t wrinkled     & negative\\\\\n","\t wrinkles     & negative\\\\\n","\t wrip         & negative\\\\\n","\t wripped      & negative\\\\\n","\t wripping     & negative\\\\\n","\t writhe       & negative\\\\\n","\t wrong        & negative\\\\\n","\t wrongful     & negative\\\\\n","\t wrongly      & negative\\\\\n","\t wrought      & negative\\\\\n","\t yawn         & negative\\\\\n","\t yay          & positive\\\\\n","\t youthful     & positive\\\\\n","\t zap          & negative\\\\\n","\t zapped       & negative\\\\\n","\t zaps         & negative\\\\\n","\t zeal         & positive\\\\\n","\t zealot       & negative\\\\\n","\t zealous      & negative\\\\\n","\t zealously    & negative\\\\\n","\t zenith       & positive\\\\\n","\t zest         & positive\\\\\n","\t zippy        & positive\\\\\n","\t zombie       & negative\\\\\n","\\end{tabular}\n"],"text/markdown":["\n","A tibble: 6786 × 2\n","\n","| word &lt;chr&gt; | sentiment &lt;chr&gt; |\n","|---|---|\n","| 2-faces       | negative |\n","| abnormal      | negative |\n","| abolish       | negative |\n","| abominable    | negative |\n","| abominably    | negative |\n","| abominate     | negative |\n","| abomination   | negative |\n","| abort         | negative |\n","| aborted       | negative |\n","| aborts        | negative |\n","| abound        | positive |\n","| abounds       | positive |\n","| abrade        | negative |\n","| abrasive      | negative |\n","| abrupt        | negative |\n","| abruptly      | negative |\n","| abscond       | negative |\n","| absence       | negative |\n","| absent-minded | negative |\n","| absentee      | negative |\n","| absurd        | negative |\n","| absurdity     | negative |\n","| absurdly      | negative |\n","| absurdness    | negative |\n","| abundance     | positive |\n","| abundant      | positive |\n","| abuse         | negative |\n","| abused        | negative |\n","| abuses        | negative |\n","| abusive       | negative |\n","| ⋮ | ⋮ |\n","| wrestle      | negative |\n","| wretch       | negative |\n","| wretched     | negative |\n","| wretchedly   | negative |\n","| wretchedness | negative |\n","| wrinkle      | negative |\n","| wrinkled     | negative |\n","| wrinkles     | negative |\n","| wrip         | negative |\n","| wripped      | negative |\n","| wripping     | negative |\n","| writhe       | negative |\n","| wrong        | negative |\n","| wrongful     | negative |\n","| wrongly      | negative |\n","| wrought      | negative |\n","| yawn         | negative |\n","| yay          | positive |\n","| youthful     | positive |\n","| zap          | negative |\n","| zapped       | negative |\n","| zaps         | negative |\n","| zeal         | positive |\n","| zealot       | negative |\n","| zealous      | negative |\n","| zealously    | negative |\n","| zenith       | positive |\n","| zest         | positive |\n","| zippy        | positive |\n","| zombie       | negative |\n","\n"],"text/plain":["     word          sentiment\n","1    2-faces       negative \n","2    abnormal      negative \n","3    abolish       negative \n","4    abominable    negative \n","5    abominably    negative \n","6    abominate     negative \n","7    abomination   negative \n","8    abort         negative \n","9    aborted       negative \n","10   aborts        negative \n","11   abound        positive \n","12   abounds       positive \n","13   abrade        negative \n","14   abrasive      negative \n","15   abrupt        negative \n","16   abruptly      negative \n","17   abscond       negative \n","18   absence       negative \n","19   absent-minded negative \n","20   absentee      negative \n","21   absurd        negative \n","22   absurdity     negative \n","23   absurdly      negative \n","24   absurdness    negative \n","25   abundance     positive \n","26   abundant      positive \n","27   abuse         negative \n","28   abused        negative \n","29   abuses        negative \n","30   abusive       negative \n","⋮    ⋮             ⋮        \n","6757 wrestle       negative \n","6758 wretch        negative \n","6759 wretched      negative \n","6760 wretchedly    negative \n","6761 wretchedness  negative \n","6762 wrinkle       negative \n","6763 wrinkled      negative \n","6764 wrinkles      negative \n","6765 wrip          negative \n","6766 wripped       negative \n","6767 wripping      negative \n","6768 writhe        negative \n","6769 wrong         negative \n","6770 wrongful      negative \n","6771 wrongly       negative \n","6772 wrought       negative \n","6773 yawn          negative \n","6774 yay           positive \n","6775 youthful      positive \n","6776 zap           negative \n","6777 zapped        negative \n","6778 zaps          negative \n","6779 zeal          positive \n","6780 zealot        negative \n","6781 zealous       negative \n","6782 zealously     negative \n","6783 zenith        positive \n","6784 zest          positive \n","6785 zippy         positive \n","6786 zombie        negative "]},"metadata":{},"output_type":"display_data"}],"source":["sentiments"]},{"cell_type":"markdown","id":"a391c46a","metadata":{"papermill":{"duration":0.01033,"end_time":"2024-08-02T15:45:59.393566","exception":false,"start_time":"2024-08-02T15:45:59.383236","status":"completed"},"tags":[]},"source":["# Unigrams\n","- We will make use of three general-purpose lexicons:\n","\n","    - AFINN\n","    - bing\n","    - loughran\n","\n","- These three lexicons make use of the unigrams. Unigrams are a type of n-gram model that consists of a sequence of 1 item, that is, a word collected from a given textual data.\n","\n","- In the AFINN lexicon model scores the words in a range from -5 to 5. The increase in negativity corresponds the negative sentiment whereas an increase in positivity corresponds the positive one. \n","- The bing lexicon model on the other hand, classifies the sentiment into a binary category of negative or positive. \n","- The loughran model that performs analysis of the shareholder’s reports. In this project, we will make use of the bing lexicons to extract the sentiments out of our data. \n","\n","#### Reference: [ScienceDirect](https://www.sciencedirect.com/science/article/abs/pii/S095741741830143X)"]},{"cell_type":"markdown","id":"62647737","metadata":{"papermill":{"duration":0.010746,"end_time":"2024-08-02T15:45:59.414069","exception":false,"start_time":"2024-08-02T15:45:59.403323","status":"completed"},"tags":[]},"source":["# Sentiments"]},{"cell_type":"markdown","id":"f09c65c3","metadata":{"papermill":{"duration":0.010185,"end_time":"2024-08-02T15:45:59.434493","exception":false,"start_time":"2024-08-02T15:45:59.424308","status":"completed"},"tags":[]},"source":["## We can retrieve these lexicons using the get_sentiments() function. We can implement this as follows:"]},{"cell_type":"code","execution_count":4,"id":"f140e8de","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:45:59.45851Z","iopub.status.busy":"2024-08-02T15:45:59.456461Z","iopub.status.idle":"2024-08-02T15:45:59.530581Z","shell.execute_reply":"2024-08-02T15:45:59.528669Z"},"papermill":{"duration":0.088845,"end_time":"2024-08-02T15:45:59.533188","exception":false,"start_time":"2024-08-02T15:45:59.444343","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<table class=\"dataframe\">\n","<caption>A tibble: 6786 × 2</caption>\n","<thead>\n","\t<tr><th scope=col>word</th><th scope=col>sentiment</th></tr>\n","\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n","</thead>\n","<tbody>\n","\t<tr><td>2-faces      </td><td>negative</td></tr>\n","\t<tr><td>abnormal     </td><td>negative</td></tr>\n","\t<tr><td>abolish      </td><td>negative</td></tr>\n","\t<tr><td>abominable   </td><td>negative</td></tr>\n","\t<tr><td>abominably   </td><td>negative</td></tr>\n","\t<tr><td>abominate    </td><td>negative</td></tr>\n","\t<tr><td>abomination  </td><td>negative</td></tr>\n","\t<tr><td>abort        </td><td>negative</td></tr>\n","\t<tr><td>aborted      </td><td>negative</td></tr>\n","\t<tr><td>aborts       </td><td>negative</td></tr>\n","\t<tr><td>abound       </td><td>positive</td></tr>\n","\t<tr><td>abounds      </td><td>positive</td></tr>\n","\t<tr><td>abrade       </td><td>negative</td></tr>\n","\t<tr><td>abrasive     </td><td>negative</td></tr>\n","\t<tr><td>abrupt       </td><td>negative</td></tr>\n","\t<tr><td>abruptly     </td><td>negative</td></tr>\n","\t<tr><td>abscond      </td><td>negative</td></tr>\n","\t<tr><td>absence      </td><td>negative</td></tr>\n","\t<tr><td>absent-minded</td><td>negative</td></tr>\n","\t<tr><td>absentee     </td><td>negative</td></tr>\n","\t<tr><td>absurd       </td><td>negative</td></tr>\n","\t<tr><td>absurdity    </td><td>negative</td></tr>\n","\t<tr><td>absurdly     </td><td>negative</td></tr>\n","\t<tr><td>absurdness   </td><td>negative</td></tr>\n","\t<tr><td>abundance    </td><td>positive</td></tr>\n","\t<tr><td>abundant     </td><td>positive</td></tr>\n","\t<tr><td>abuse        </td><td>negative</td></tr>\n","\t<tr><td>abused       </td><td>negative</td></tr>\n","\t<tr><td>abuses       </td><td>negative</td></tr>\n","\t<tr><td>abusive      </td><td>negative</td></tr>\n","\t<tr><td>⋮</td><td>⋮</td></tr>\n","\t<tr><td>wrestle     </td><td>negative</td></tr>\n","\t<tr><td>wretch      </td><td>negative</td></tr>\n","\t<tr><td>wretched    </td><td>negative</td></tr>\n","\t<tr><td>wretchedly  </td><td>negative</td></tr>\n","\t<tr><td>wretchedness</td><td>negative</td></tr>\n","\t<tr><td>wrinkle     </td><td>negative</td></tr>\n","\t<tr><td>wrinkled    </td><td>negative</td></tr>\n","\t<tr><td>wrinkles    </td><td>negative</td></tr>\n","\t<tr><td>wrip        </td><td>negative</td></tr>\n","\t<tr><td>wripped     </td><td>negative</td></tr>\n","\t<tr><td>wripping    </td><td>negative</td></tr>\n","\t<tr><td>writhe      </td><td>negative</td></tr>\n","\t<tr><td>wrong       </td><td>negative</td></tr>\n","\t<tr><td>wrongful    </td><td>negative</td></tr>\n","\t<tr><td>wrongly     </td><td>negative</td></tr>\n","\t<tr><td>wrought     </td><td>negative</td></tr>\n","\t<tr><td>yawn        </td><td>negative</td></tr>\n","\t<tr><td>yay         </td><td>positive</td></tr>\n","\t<tr><td>youthful    </td><td>positive</td></tr>\n","\t<tr><td>zap         </td><td>negative</td></tr>\n","\t<tr><td>zapped      </td><td>negative</td></tr>\n","\t<tr><td>zaps        </td><td>negative</td></tr>\n","\t<tr><td>zeal        </td><td>positive</td></tr>\n","\t<tr><td>zealot      </td><td>negative</td></tr>\n","\t<tr><td>zealous     </td><td>negative</td></tr>\n","\t<tr><td>zealously   </td><td>negative</td></tr>\n","\t<tr><td>zenith      </td><td>positive</td></tr>\n","\t<tr><td>zest        </td><td>positive</td></tr>\n","\t<tr><td>zippy       </td><td>positive</td></tr>\n","\t<tr><td>zombie      </td><td>negative</td></tr>\n","</tbody>\n","</table>\n"],"text/latex":["A tibble: 6786 × 2\n","\\begin{tabular}{ll}\n"," word & sentiment\\\\\n"," <chr> & <chr>\\\\\n","\\hline\n","\t 2-faces       & negative\\\\\n","\t abnormal      & negative\\\\\n","\t abolish       & negative\\\\\n","\t abominable    & negative\\\\\n","\t abominably    & negative\\\\\n","\t abominate     & negative\\\\\n","\t abomination   & negative\\\\\n","\t abort         & negative\\\\\n","\t aborted       & negative\\\\\n","\t aborts        & negative\\\\\n","\t abound        & positive\\\\\n","\t abounds       & positive\\\\\n","\t abrade        & negative\\\\\n","\t abrasive      & negative\\\\\n","\t abrupt        & negative\\\\\n","\t abruptly      & negative\\\\\n","\t abscond       & negative\\\\\n","\t absence       & negative\\\\\n","\t absent-minded & negative\\\\\n","\t absentee      & negative\\\\\n","\t absurd        & negative\\\\\n","\t absurdity     & negative\\\\\n","\t absurdly      & negative\\\\\n","\t absurdness    & negative\\\\\n","\t abundance     & positive\\\\\n","\t abundant      & positive\\\\\n","\t abuse         & negative\\\\\n","\t abused        & negative\\\\\n","\t abuses        & negative\\\\\n","\t abusive       & negative\\\\\n","\t ⋮ & ⋮\\\\\n","\t wrestle      & negative\\\\\n","\t wretch       & negative\\\\\n","\t wretched     & negative\\\\\n","\t wretchedly   & negative\\\\\n","\t wretchedness & negative\\\\\n","\t wrinkle      & negative\\\\\n","\t wrinkled     & negative\\\\\n","\t wrinkles     & negative\\\\\n","\t wrip         & negative\\\\\n","\t wripped      & negative\\\\\n","\t wripping     & negative\\\\\n","\t writhe       & negative\\\\\n","\t wrong        & negative\\\\\n","\t wrongful     & negative\\\\\n","\t wrongly      & negative\\\\\n","\t wrought      & negative\\\\\n","\t yawn         & negative\\\\\n","\t yay          & positive\\\\\n","\t youthful     & positive\\\\\n","\t zap          & negative\\\\\n","\t zapped       & negative\\\\\n","\t zaps         & negative\\\\\n","\t zeal         & positive\\\\\n","\t zealot       & negative\\\\\n","\t zealous      & negative\\\\\n","\t zealously    & negative\\\\\n","\t zenith       & positive\\\\\n","\t zest         & positive\\\\\n","\t zippy        & positive\\\\\n","\t zombie       & negative\\\\\n","\\end{tabular}\n"],"text/markdown":["\n","A tibble: 6786 × 2\n","\n","| word &lt;chr&gt; | sentiment &lt;chr&gt; |\n","|---|---|\n","| 2-faces       | negative |\n","| abnormal      | negative |\n","| abolish       | negative |\n","| abominable    | negative |\n","| abominably    | negative |\n","| abominate     | negative |\n","| abomination   | negative |\n","| abort         | negative |\n","| aborted       | negative |\n","| aborts        | negative |\n","| abound        | positive |\n","| abounds       | positive |\n","| abrade        | negative |\n","| abrasive      | negative |\n","| abrupt        | negative |\n","| abruptly      | negative |\n","| abscond       | negative |\n","| absence       | negative |\n","| absent-minded | negative |\n","| absentee      | negative |\n","| absurd        | negative |\n","| absurdity     | negative |\n","| absurdly      | negative |\n","| absurdness    | negative |\n","| abundance     | positive |\n","| abundant      | positive |\n","| abuse         | negative |\n","| abused        | negative |\n","| abuses        | negative |\n","| abusive       | negative |\n","| ⋮ | ⋮ |\n","| wrestle      | negative |\n","| wretch       | negative |\n","| wretched     | negative |\n","| wretchedly   | negative |\n","| wretchedness | negative |\n","| wrinkle      | negative |\n","| wrinkled     | negative |\n","| wrinkles     | negative |\n","| wrip         | negative |\n","| wripped      | negative |\n","| wripping     | negative |\n","| writhe       | negative |\n","| wrong        | negative |\n","| wrongful     | negative |\n","| wrongly      | negative |\n","| wrought      | negative |\n","| yawn         | negative |\n","| yay          | positive |\n","| youthful     | positive |\n","| zap          | negative |\n","| zapped       | negative |\n","| zaps         | negative |\n","| zeal         | positive |\n","| zealot       | negative |\n","| zealous      | negative |\n","| zealously    | negative |\n","| zenith       | positive |\n","| zest         | positive |\n","| zippy        | positive |\n","| zombie       | negative |\n","\n"],"text/plain":["     word          sentiment\n","1    2-faces       negative \n","2    abnormal      negative \n","3    abolish       negative \n","4    abominable    negative \n","5    abominably    negative \n","6    abominate     negative \n","7    abomination   negative \n","8    abort         negative \n","9    aborted       negative \n","10   aborts        negative \n","11   abound        positive \n","12   abounds       positive \n","13   abrade        negative \n","14   abrasive      negative \n","15   abrupt        negative \n","16   abruptly      negative \n","17   abscond       negative \n","18   absence       negative \n","19   absent-minded negative \n","20   absentee      negative \n","21   absurd        negative \n","22   absurdity     negative \n","23   absurdly      negative \n","24   absurdness    negative \n","25   abundance     positive \n","26   abundant      positive \n","27   abuse         negative \n","28   abused        negative \n","29   abuses        negative \n","30   abusive       negative \n","⋮    ⋮             ⋮        \n","6757 wrestle       negative \n","6758 wretch        negative \n","6759 wretched      negative \n","6760 wretchedly    negative \n","6761 wretchedness  negative \n","6762 wrinkle       negative \n","6763 wrinkled      negative \n","6764 wrinkles      negative \n","6765 wrip          negative \n","6766 wripped       negative \n","6767 wripping      negative \n","6768 writhe        negative \n","6769 wrong         negative \n","6770 wrongful      negative \n","6771 wrongly       negative \n","6772 wrought       negative \n","6773 yawn          negative \n","6774 yay           positive \n","6775 youthful      positive \n","6776 zap           negative \n","6777 zapped        negative \n","6778 zaps          negative \n","6779 zeal          positive \n","6780 zealot        negative \n","6781 zealous       negative \n","6782 zealously     negative \n","6783 zenith        positive \n","6784 zest          positive \n","6785 zippy         positive \n","6786 zombie        negative "]},"metadata":{},"output_type":"display_data"}],"source":["get_sentiments(\"bing\")"]},{"cell_type":"markdown","id":"b63ef756","metadata":{"papermill":{"duration":0.010558,"end_time":"2024-08-02T15:45:59.554226","exception":false,"start_time":"2024-08-02T15:45:59.543668","status":"completed"},"tags":[]},"source":["# Performing Sentiment Analysis with the Inner Join\n","- In this step, we will import our libraries ‘janeaustenr’, ‘stringr’ as well as ‘tidytext’. The janeaustenr package will provide us with the textual data in the form of books authored by the novelist Jane Austen. Tidytext will allow us to perform efficient text analysis on our data. We will convert the text of our books into a tidy format using unnest_tokens() function."]},{"cell_type":"code","execution_count":5,"id":"0dfc39d9","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:45:59.579109Z","iopub.status.busy":"2024-08-02T15:45:59.577395Z","iopub.status.idle":"2024-08-02T15:45:59.650096Z","shell.execute_reply":"2024-08-02T15:45:59.648109Z"},"papermill":{"duration":0.087972,"end_time":"2024-08-02T15:45:59.652843","exception":false,"start_time":"2024-08-02T15:45:59.564871","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["\n","Attaching package: ‘dplyr’\n","\n","\n","The following objects are masked from ‘package:stats’:\n","\n","    filter, lag\n","\n","\n","The following objects are masked from ‘package:base’:\n","\n","    intersect, setdiff, setequal, union\n","\n","\n"]}],"source":["library(janeaustenr)\n","library(stringr)\n","library(tidytext)\n","library(dplyr)"]},{"cell_type":"code","execution_count":6,"id":"2589494a","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:45:59.678608Z","iopub.status.busy":"2024-08-02T15:45:59.676881Z","iopub.status.idle":"2024-08-02T15:46:00.706885Z","shell.execute_reply":"2024-08-02T15:46:00.704884Z"},"papermill":{"duration":1.045946,"end_time":"2024-08-02T15:46:00.709796","exception":false,"start_time":"2024-08-02T15:45:59.66385","status":"completed"},"tags":[]},"outputs":[],"source":["\n","tidy_data <- austen_books() %>%\n"," group_by(book) %>%\n"," mutate(linenumber = row_number(),\n","   chapter = cumsum(str_detect(text, regex(\"^chapter [\\\\divxlc]\", \n","                          ignore_case = TRUE)))) %>%\n","ungroup() %>%\n","unnest_tokens(word, text)"]},{"cell_type":"markdown","id":"f503ea2b","metadata":{"papermill":{"duration":0.01085,"end_time":"2024-08-02T15:46:00.731583","exception":false,"start_time":"2024-08-02T15:46:00.720733","status":"completed"},"tags":[]},"source":["# Each row contains a single word"]},{"cell_type":"markdown","id":"2174f095","metadata":{"papermill":{"duration":0.010597,"end_time":"2024-08-02T15:46:00.752966","exception":false,"start_time":"2024-08-02T15:46:00.742369","status":"completed"},"tags":[]},"source":["### We have performed the tidy operation on our text such that each row contains a single word. We will now make use of the “bing” lexicon to implement a filter() over the words that correspond to joy. We will use the book Sense and Sensibility and derive its words from implementing our sentiment analysis model:"]},{"cell_type":"code","execution_count":7,"id":"fc02137d","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:46:00.778013Z","iopub.status.busy":"2024-08-02T15:46:00.776364Z","iopub.status.idle":"2024-08-02T15:46:01.002554Z","shell.execute_reply":"2024-08-02T15:46:01.000209Z"},"papermill":{"duration":0.242291,"end_time":"2024-08-02T15:46:01.005926","exception":false,"start_time":"2024-08-02T15:46:00.763635","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["\u001b[1m\u001b[22mJoining, by = \"word\"\n"]},{"data":{"text/html":["<table class=\"dataframe\">\n","<caption>A tibble: 668 × 2</caption>\n","<thead>\n","\t<tr><th scope=col>word</th><th scope=col>n</th></tr>\n","\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n","</thead>\n","<tbody>\n","\t<tr><td>well     </td><td>401</td></tr>\n","\t<tr><td>good     </td><td>359</td></tr>\n","\t<tr><td>great    </td><td>264</td></tr>\n","\t<tr><td>like     </td><td>200</td></tr>\n","\t<tr><td>better   </td><td>173</td></tr>\n","\t<tr><td>enough   </td><td>129</td></tr>\n","\t<tr><td>happy    </td><td>125</td></tr>\n","\t<tr><td>love     </td><td>117</td></tr>\n","\t<tr><td>pleasure </td><td>115</td></tr>\n","\t<tr><td>right    </td><td> 92</td></tr>\n","\t<tr><td>best     </td><td> 85</td></tr>\n","\t<tr><td>happiness</td><td> 76</td></tr>\n","\t<tr><td>pretty   </td><td> 68</td></tr>\n","\t<tr><td>perfectly</td><td> 67</td></tr>\n","\t<tr><td>ready    </td><td> 66</td></tr>\n","\t<tr><td>comfort  </td><td> 65</td></tr>\n","\t<tr><td>assure   </td><td> 59</td></tr>\n","\t<tr><td>superior </td><td> 59</td></tr>\n","\t<tr><td>satisfied</td><td> 52</td></tr>\n","\t<tr><td>affection</td><td> 50</td></tr>\n","\t<tr><td>agreeable</td><td> 50</td></tr>\n","\t<tr><td>glad     </td><td> 50</td></tr>\n","\t<tr><td>wonder   </td><td> 49</td></tr>\n","\t<tr><td>pleased  </td><td> 47</td></tr>\n","\t<tr><td>smile    </td><td> 44</td></tr>\n","\t<tr><td>strong   </td><td> 44</td></tr>\n","\t<tr><td>regard   </td><td> 43</td></tr>\n","\t<tr><td>respect  </td><td> 43</td></tr>\n","\t<tr><td>fine     </td><td> 42</td></tr>\n","\t<tr><td>proper   </td><td> 42</td></tr>\n","\t<tr><td>⋮</td><td>⋮</td></tr>\n","\t<tr><td>spontaneous   </td><td>1</td></tr>\n","\t<tr><td>steadiest     </td><td>1</td></tr>\n","\t<tr><td>stimulate     </td><td>1</td></tr>\n","\t<tr><td>stimulative   </td><td>1</td></tr>\n","\t<tr><td>strikingly    </td><td>1</td></tr>\n","\t<tr><td>sublime       </td><td>1</td></tr>\n","\t<tr><td>suffice       </td><td>1</td></tr>\n","\t<tr><td>sweeping      </td><td>1</td></tr>\n","\t<tr><td>tempting      </td><td>1</td></tr>\n","\t<tr><td>tenderly      </td><td>1</td></tr>\n","\t<tr><td>thinner       </td><td>1</td></tr>\n","\t<tr><td>thoughtfully  </td><td>1</td></tr>\n","\t<tr><td>thrive        </td><td>1</td></tr>\n","\t<tr><td>thriving      </td><td>1</td></tr>\n","\t<tr><td>tidy          </td><td>1</td></tr>\n","\t<tr><td>triumphant    </td><td>1</td></tr>\n","\t<tr><td>triumphantly  </td><td>1</td></tr>\n","\t<tr><td>unbiased      </td><td>1</td></tr>\n","\t<tr><td>undaunted     </td><td>1</td></tr>\n","\t<tr><td>unequivocal   </td><td>1</td></tr>\n","\t<tr><td>unequivocally </td><td>1</td></tr>\n","\t<tr><td>unquestionably</td><td>1</td></tr>\n","\t<tr><td>unselfish     </td><td>1</td></tr>\n","\t<tr><td>useable       </td><td>1</td></tr>\n","\t<tr><td>vouch         </td><td>1</td></tr>\n","\t<tr><td>win           </td><td>1</td></tr>\n","\t<tr><td>winning       </td><td>1</td></tr>\n","\t<tr><td>wins          </td><td>1</td></tr>\n","\t<tr><td>wisely        </td><td>1</td></tr>\n","\t<tr><td>works         </td><td>1</td></tr>\n","</tbody>\n","</table>\n"],"text/latex":["A tibble: 668 × 2\n","\\begin{tabular}{ll}\n"," word & n\\\\\n"," <chr> & <int>\\\\\n","\\hline\n","\t well      & 401\\\\\n","\t good      & 359\\\\\n","\t great     & 264\\\\\n","\t like      & 200\\\\\n","\t better    & 173\\\\\n","\t enough    & 129\\\\\n","\t happy     & 125\\\\\n","\t love      & 117\\\\\n","\t pleasure  & 115\\\\\n","\t right     &  92\\\\\n","\t best      &  85\\\\\n","\t happiness &  76\\\\\n","\t pretty    &  68\\\\\n","\t perfectly &  67\\\\\n","\t ready     &  66\\\\\n","\t comfort   &  65\\\\\n","\t assure    &  59\\\\\n","\t superior  &  59\\\\\n","\t satisfied &  52\\\\\n","\t affection &  50\\\\\n","\t agreeable &  50\\\\\n","\t glad      &  50\\\\\n","\t wonder    &  49\\\\\n","\t pleased   &  47\\\\\n","\t smile     &  44\\\\\n","\t strong    &  44\\\\\n","\t regard    &  43\\\\\n","\t respect   &  43\\\\\n","\t fine      &  42\\\\\n","\t proper    &  42\\\\\n","\t ⋮ & ⋮\\\\\n","\t spontaneous    & 1\\\\\n","\t steadiest      & 1\\\\\n","\t stimulate      & 1\\\\\n","\t stimulative    & 1\\\\\n","\t strikingly     & 1\\\\\n","\t sublime        & 1\\\\\n","\t suffice        & 1\\\\\n","\t sweeping       & 1\\\\\n","\t tempting       & 1\\\\\n","\t tenderly       & 1\\\\\n","\t thinner        & 1\\\\\n","\t thoughtfully   & 1\\\\\n","\t thrive         & 1\\\\\n","\t thriving       & 1\\\\\n","\t tidy           & 1\\\\\n","\t triumphant     & 1\\\\\n","\t triumphantly   & 1\\\\\n","\t unbiased       & 1\\\\\n","\t undaunted      & 1\\\\\n","\t unequivocal    & 1\\\\\n","\t unequivocally  & 1\\\\\n","\t unquestionably & 1\\\\\n","\t unselfish      & 1\\\\\n","\t useable        & 1\\\\\n","\t vouch          & 1\\\\\n","\t win            & 1\\\\\n","\t winning        & 1\\\\\n","\t wins           & 1\\\\\n","\t wisely         & 1\\\\\n","\t works          & 1\\\\\n","\\end{tabular}\n"],"text/markdown":["\n","A tibble: 668 × 2\n","\n","| word &lt;chr&gt; | n &lt;int&gt; |\n","|---|---|\n","| well      | 401 |\n","| good      | 359 |\n","| great     | 264 |\n","| like      | 200 |\n","| better    | 173 |\n","| enough    | 129 |\n","| happy     | 125 |\n","| love      | 117 |\n","| pleasure  | 115 |\n","| right     |  92 |\n","| best      |  85 |\n","| happiness |  76 |\n","| pretty    |  68 |\n","| perfectly |  67 |\n","| ready     |  66 |\n","| comfort   |  65 |\n","| assure    |  59 |\n","| superior  |  59 |\n","| satisfied |  52 |\n","| affection |  50 |\n","| agreeable |  50 |\n","| glad      |  50 |\n","| wonder    |  49 |\n","| pleased   |  47 |\n","| smile     |  44 |\n","| strong    |  44 |\n","| regard    |  43 |\n","| respect   |  43 |\n","| fine      |  42 |\n","| proper    |  42 |\n","| ⋮ | ⋮ |\n","| spontaneous    | 1 |\n","| steadiest      | 1 |\n","| stimulate      | 1 |\n","| stimulative    | 1 |\n","| strikingly     | 1 |\n","| sublime        | 1 |\n","| suffice        | 1 |\n","| sweeping       | 1 |\n","| tempting       | 1 |\n","| tenderly       | 1 |\n","| thinner        | 1 |\n","| thoughtfully   | 1 |\n","| thrive         | 1 |\n","| thriving       | 1 |\n","| tidy           | 1 |\n","| triumphant     | 1 |\n","| triumphantly   | 1 |\n","| unbiased       | 1 |\n","| undaunted      | 1 |\n","| unequivocal    | 1 |\n","| unequivocally  | 1 |\n","| unquestionably | 1 |\n","| unselfish      | 1 |\n","| useable        | 1 |\n","| vouch          | 1 |\n","| win            | 1 |\n","| winning        | 1 |\n","| wins           | 1 |\n","| wisely         | 1 |\n","| works          | 1 |\n","\n"],"text/plain":["    word           n  \n","1   well           401\n","2   good           359\n","3   great          264\n","4   like           200\n","5   better         173\n","6   enough         129\n","7   happy          125\n","8   love           117\n","9   pleasure       115\n","10  right           92\n","11  best            85\n","12  happiness       76\n","13  pretty          68\n","14  perfectly       67\n","15  ready           66\n","16  comfort         65\n","17  assure          59\n","18  superior        59\n","19  satisfied       52\n","20  affection       50\n","21  agreeable       50\n","22  glad            50\n","23  wonder          49\n","24  pleased         47\n","25  smile           44\n","26  strong          44\n","27  regard          43\n","28  respect         43\n","29  fine            42\n","30  proper          42\n","⋮   ⋮              ⋮  \n","639 spontaneous    1  \n","640 steadiest      1  \n","641 stimulate      1  \n","642 stimulative    1  \n","643 strikingly     1  \n","644 sublime        1  \n","645 suffice        1  \n","646 sweeping       1  \n","647 tempting       1  \n","648 tenderly       1  \n","649 thinner        1  \n","650 thoughtfully   1  \n","651 thrive         1  \n","652 thriving       1  \n","653 tidy           1  \n","654 triumphant     1  \n","655 triumphantly   1  \n","656 unbiased       1  \n","657 undaunted      1  \n","658 unequivocal    1  \n","659 unequivocally  1  \n","660 unquestionably 1  \n","661 unselfish      1  \n","662 useable        1  \n","663 vouch          1  \n","664 win            1  \n","665 winning        1  \n","666 wins           1  \n","667 wisely         1  \n","668 works          1  "]},"metadata":{},"output_type":"display_data"}],"source":["positive_senti <- get_sentiments(\"bing\") %>%\n"," filter(sentiment == \"positive\")\n","tidy_data %>%\n"," filter(book == \"Emma\") %>%\n"," semi_join(positive_senti) %>%\n"," count(word, sort = TRUE)"]},{"cell_type":"markdown","id":"d5a7fb7b","metadata":{"papermill":{"duration":0.011252,"end_time":"2024-08-02T15:46:01.028749","exception":false,"start_time":"2024-08-02T15:46:01.017497","status":"completed"},"tags":[]},"source":["# Separate columns of positive and negative"]},{"cell_type":"markdown","id":"6d58fd0a","metadata":{"papermill":{"duration":0.011652,"end_time":"2024-08-02T15:46:01.052309","exception":false,"start_time":"2024-08-02T15:46:01.040657","status":"completed"},"tags":[]},"source":["- From our above result, we observe many positive words like “good”, “happy”, “love” etc. In the next step, we will use the spread() function to segregate our data into separate columns of positive and negative sentiments. We will then use the mutate() function to calculate the total sentiment, that is, the difference between positive and negative sentiment."]},{"cell_type":"code","execution_count":8,"id":"34eeaee8","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:46:01.078471Z","iopub.status.busy":"2024-08-02T15:46:01.076781Z","iopub.status.idle":"2024-08-02T15:46:01.579559Z","shell.execute_reply":"2024-08-02T15:46:01.577563Z"},"papermill":{"duration":0.518791,"end_time":"2024-08-02T15:46:01.582268","exception":false,"start_time":"2024-08-02T15:46:01.063477","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["\u001b[1m\u001b[22mJoining, by = \"word\"\n"]}],"source":["library(tidyr)\n","bing <- get_sentiments(\"bing\")\n","Emma_sentiment <- tidy_data %>%\n"," inner_join(bing) %>%\n"," count(book = \"Emma\" , index = linenumber %/% 80, sentiment) %>%\n"," spread(sentiment, n, fill = 0) %>%\n"," mutate(sentiment = positive - negative)"]},{"cell_type":"markdown","id":"71cf0a3b","metadata":{"papermill":{"duration":0.011178,"end_time":"2024-08-02T15:46:01.604803","exception":false,"start_time":"2024-08-02T15:46:01.593625","status":"completed"},"tags":[]},"source":["# Visualize the words present in the book"]},{"cell_type":"markdown","id":"2784d810","metadata":{"papermill":{"duration":0.011168,"end_time":"2024-08-02T15:46:01.627327","exception":false,"start_time":"2024-08-02T15:46:01.616159","status":"completed"},"tags":[]},"source":["### we will visualize the words present in the book “Emma” based on their corresponding positive and negative scores:"]},{"cell_type":"code","execution_count":9,"id":"83f9d084","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:46:01.65353Z","iopub.status.busy":"2024-08-02T15:46:01.651776Z","iopub.status.idle":"2024-08-02T15:46:02.421074Z","shell.execute_reply":"2024-08-02T15:46:02.419156Z"},"papermill":{"duration":0.785377,"end_time":"2024-08-02T15:46:02.423858","exception":false,"start_time":"2024-08-02T15:46:01.638481","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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c7MUGPflOlOnP3rJ3515ze62l7eb5/vF6jq4ZNr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\ng/IAAAAASUVORK5CYII="},"metadata":{"image/png":{"height":420,"width":420}},"output_type":"display_data"}],"source":["library(ggplot2)\n","ggplot(Emma_sentiment, aes(index, sentiment, fill = book)) +\n"," geom_bar(stat = \"identity\", show.legend = TRUE) +\n"," facet_wrap(~book, ncol = 2, scales = \"free_x\")"]},{"cell_type":"markdown","id":"2a11304f","metadata":{"papermill":{"duration":0.011888,"end_time":"2024-08-02T15:46:02.447833","exception":false,"start_time":"2024-08-02T15:46:02.435945","status":"completed"},"tags":[]},"source":["# Counting the most common words"]},{"cell_type":"markdown","id":"43386e5c","metadata":{"papermill":{"duration":0.011848,"end_time":"2024-08-02T15:46:02.471723","exception":false,"start_time":"2024-08-02T15:46:02.459875","status":"completed"},"tags":[]},"source":["###  Now proceed toward counting the most common positive and negative words that are present in the novel:"]},{"cell_type":"code","execution_count":10,"id":"c153a4b1","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:46:02.499261Z","iopub.status.busy":"2024-08-02T15:46:02.497574Z","iopub.status.idle":"2024-08-02T15:46:02.686282Z","shell.execute_reply":"2024-08-02T15:46:02.684362Z"},"papermill":{"duration":0.205332,"end_time":"2024-08-02T15:46:02.68902","exception":false,"start_time":"2024-08-02T15:46:02.483688","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["\u001b[1m\u001b[22mJoining, by = \"word\"\n"]},{"data":{"text/html":["<table class=\"dataframe\">\n","<caption>A tibble: 6 × 3</caption>\n","<thead>\n","\t<tr><th scope=col>word</th><th scope=col>sentiment</th><th scope=col>n</th></tr>\n","\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n","</thead>\n","<tbody>\n","\t<tr><td>miss  </td><td>negative</td><td>1855</td></tr>\n","\t<tr><td>well  </td><td>positive</td><td>1523</td></tr>\n","\t<tr><td>good  </td><td>positive</td><td>1380</td></tr>\n","\t<tr><td>great </td><td>positive</td><td> 981</td></tr>\n","\t<tr><td>like  </td><td>positive</td><td> 725</td></tr>\n","\t<tr><td>better</td><td>positive</td><td> 639</td></tr>\n","</tbody>\n","</table>\n"],"text/latex":["A tibble: 6 × 3\n","\\begin{tabular}{lll}\n"," word & sentiment & n\\\\\n"," <chr> & <chr> & <int>\\\\\n","\\hline\n","\t miss   & negative & 1855\\\\\n","\t well   & positive & 1523\\\\\n","\t good   & positive & 1380\\\\\n","\t great  & positive &  981\\\\\n","\t like   & positive &  725\\\\\n","\t better & positive &  639\\\\\n","\\end{tabular}\n"],"text/markdown":["\n","A tibble: 6 × 3\n","\n","| word &lt;chr&gt; | sentiment &lt;chr&gt; | n &lt;int&gt; |\n","|---|---|---|\n","| miss   | negative | 1855 |\n","| well   | positive | 1523 |\n","| good   | positive | 1380 |\n","| great  | positive |  981 |\n","| like   | positive |  725 |\n","| better | positive |  639 |\n","\n"],"text/plain":["  word   sentiment n   \n","1 miss   negative  1855\n","2 well   positive  1523\n","3 good   positive  1380\n","4 great  positive   981\n","5 like   positive   725\n","6 better positive   639"]},"metadata":{},"output_type":"display_data"}],"source":["counting_words <- tidy_data %>%\n"," inner_join(bing) %>%\n"," count(word, sentiment, sort = TRUE)\n","head(counting_words)"]},{"cell_type":"markdown","id":"66e050d5","metadata":{"papermill":{"duration":0.0125,"end_time":"2024-08-02T15:46:02.714124","exception":false,"start_time":"2024-08-02T15:46:02.701624","status":"completed"},"tags":[]},"source":["# Visualization"]},{"cell_type":"markdown","id":"6c003901","metadata":{"papermill":{"duration":0.012107,"end_time":"2024-08-02T15:46:02.73867","exception":false,"start_time":"2024-08-02T15:46:02.726563","status":"completed"},"tags":[]},"source":["### In the next step, we will perform a visualization of our sentiment score. We will plot the scores along the axis that is labeled with both positive as well as negative words. We will use ggplot() function to visualize our data based on their scores:"]},{"cell_type":"code","execution_count":11,"id":"1ac100f9","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:46:02.767111Z","iopub.status.busy":"2024-08-02T15:46:02.765423Z","iopub.status.idle":"2024-08-02T15:46:03.247953Z","shell.execute_reply":"2024-08-02T15:46:03.245633Z"},"papermill":{"duration":0.500118,"end_time":"2024-08-02T15:46:03.251109","exception":false,"start_time":"2024-08-02T15:46:02.750991","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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Fxhm7KseYxvzroZ8cH/nJhjUHLVJ6z4cFx6UtGe+a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\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DiutFQV9wtrNBqO49xut0peTqDVal0u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%>%\n"," filter(n > 150) %>%\n"," mutate(n = ifelse(sentiment == \"negative\", -n, n)) %>%\n"," mutate(word = reorder(word, n)) %>%\n"," ggplot(aes(word, n, fill = sentiment))+\n"," geom_col() +\n"," coord_flip() +\n"," labs(y = \"Sentiment Score\")"]},{"cell_type":"markdown","id":"df42ee0e","metadata":{"papermill":{"duration":0.013729,"end_time":"2024-08-02T15:46:03.279199","exception":false,"start_time":"2024-08-02T15:46:03.26547","status":"completed"},"tags":[]},"source":["### Create a wordcloud that will delineate the most recurring positive and negative words. In particular, we will use the comparision.cloud() function to plot both negative and positive words in a single wordcloud as follows:"]},{"cell_type":"code","execution_count":12,"id":"b56f5838","metadata":{"execution":{"iopub.execute_input":"2024-08-02T15:46:03.310734Z","iopub.status.busy":"2024-08-02T15:46:03.308977Z","iopub.status.idle":"2024-08-02T15:46:04.468531Z","shell.execute_reply":"2024-08-02T15:46:04.466347Z"},"papermill":{"duration":1.179496,"end_time":"2024-08-02T15:46:04.472661","exception":false,"start_time":"2024-08-02T15:46:03.293165","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["\n","Attaching package: ‘reshape2’\n","\n","\n","The following object is masked from ‘package:tidyr’:\n","\n","    smiths\n","\n","\n","Loading required package: RColorBrewer\n","\n","\u001b[1m\u001b[22mJoining, by = \"word\"\n"]},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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\nfhGjPt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SQSDHREREZFEMNgRERERSQSD\nHREREZFEMNgREaWT13/A2AEAou5BJkNYLAAcnoyc1mh6RGdbu4H+4gIgkyEkGgBUqvQdOxFJ\nA4MdEVF6M86BqVNhagQA/eajxw5sr6Wzrd3gy7jZ4sKb9BktEUmIIqsHQEQkOYocGDNGvR0X\nj4oFYCrX3dZqQESUfnjGjojST24HPHqf1YPIXJfWoFopmFugVB1cfKuujHmmvtLq7YKXYWjn\njQb/6Wx/agDg+QHUrwIbc+Qujjn7ACDCFzIZopTq3g7WR+4ROm+aNwfeRMDHE73Pooc3yq3U\nvFTCCQPOZfinJqLsisGOiNJPdAyE0KmJ0eNWMBGfQcPJcBG+8OmJAl1w2RejaqPdzMQN7gUg\ntzW23MPBujrbn8QFonRL5GmHy3extA9GNcM5PS6wPg1CTkucfIblVTC2E26OhlIFANGPcCcY\nY0qk3yckoq8Mgx0RfZHFI5HfHWbWKNUQN4IBwNsdwVEolxcLDkAmw/2/UdQFx/0B4NhSlC0A\nU2PkzI2+M/Ex7H18FOCfibA0g6kNan+P8DgAeHUU1UvCzAp1e2NyGXQ8qX7HNyfR1AeOFsiV\nH6NWQiQ1quQkOgeWXjYMhFkNrByOooXQfgwGFjS4hzM/IbYglg1GQU80HYD+7XD+nWE9eI6C\ncQhuvgOAo8Ng9x1cLQ0eBhFJBYMdERnu9RIMWYZl+/D8Duq+QZ3uAHDPDw7muPwUfb0BoPVO\nLN+PGrkg4tB0MNrOwIvXOPAnNkxQp72PhtzGtZd4fBIPd2LIJShDUKwJav6KJ7fQJAoTr6mb\nqSJRshG82uHqE+yejzWDMeq0AQM2ccPMmTBO+MZzs8VdA/NTkna8ROGfNd+jfasb3MP2u3Dt\nAyOZujh/A4YUMawHmTHquGHcRQD49Sz6jzd4DEQkIXx4gogMF3IGpnlQvRhM5Ji6FfWfJtHm\nr2Wo4AwAyg+Yuwg9WkMhQ84GcLXCwzDUTmi2ZQkKOgEu6F0QmwJxYwVU5TC5I2TAkLWYtVPd\n7N4viCyMBQMgAzyaYud3qD8SM8/oO2BjZ4wcqSkq0+nir1wGmUxTNLY3uIc4FeSmqbSJTm20\nU5qiyihEFsKdYBwtbPAYiEhCeMaOiAyXbyacnyGXN7oNwu6nqF03iTYFbNUbCnt0rou/FuDn\nfqhfEQ9DdJp52ag3bIwBYP9N5OyGT2GpYEInV28h8g6cneDkBCcnNP4H4VeSHtvT4XD9Eb3r\nIIcNcnqh8yjExKvnjft4KTa/C95GopwnJviiS0HU2KzZ190GS+8a8HNokzAbWMwAACAASURB\nVAd3F2ouCu/8z4B9P/ouLwJW4tONiH190P64eluZ0O8uv1Q6KToVyjtY3RNO3ZHD3OAxEJGE\nMNgRkeFMc+OhP1aMhvk7DGmBYq01KeQTk4Svl4hryF0Ue26iUEWMW4pCDjrNjGQ6xVgVIEvi\nVVtj5BqIt2/V/96FIz462eG9+Rtnc+LAJWyfj1OL0WatzquPAuBkgcvPMKk0xrfGxdFQCQAI\nPYZXkeiUT98fAoC2CxB5FH0W4P5T7F2Eif6p75JI3SVQXcGgpXjqj8MrsOosBheGuTeMjbDw\nX0R8wMFF2PA4iR1lwN13iFUBgJEtyjtj4En8OsTgARCRtDDYEZHhji3Fovto2Q1L1+PZYzzZ\ng1dhyTY+NQKKpti7Ev26oXoZxKf4nGzdvAjUymH3Q9UbpeshcD3iEvY9MBBtVyXbiYjHoRUo\nVwjVmuHgMOzrh5hkrmbmHw/ZCzwOBYCN45BnGGxNUhpeIlalcWwZbv2FkoUxcjtObjNg349M\nPXBpI26tRIn86LMAv+9DlZyQm2P1aCzvDWs7tFyANa2S2LF9ZfQugSEX1cXp1SDk6Jbf4AEQ\nkbTwHjsiMpz5OYz6DaV2o5QrDv0PKlPYmQGADPCLgJvu2bvceRFxBI+D4BSPNdPx+D2ehyTZ\nKwBUXARlXkzdjj6VsWUcImLVf366/wKXaWg5GfP74sNFdFiB368n24lxDuRKeDK04FCIyQiK\nSrql3BxVXTHtBlb7YPpNTEk+LCan8o84+6OmGBcMAKaemmlfnodqXv20rd3AuxWOfxbdOk1G\np8mICobCDsZydPj4uVw0e807hHla7S+9QJ5hsE3tdj0ikjqesSMiw1X8Ez1KoXUVuOTD1JPY\ncgU2JgDQvAzqe2LFfZ3GRZfgh4IolxtFa8C/OP5oi9k1Et9p94lJLlzeil2jUKACrpZEpZxw\n/BhW5LiyH+IIyudFs6H4eTl6FtJrqDIjyJDS3CjT62LPFISehH80Wnvq1WemMXfQPMmbnFg/\n+J7A5GuY0TtTxkRE2ZpMCIMmgyIiykhh57DlBXq0Vxfz2WPWFbTxMqCHp8PhNQevwtXTuT2Y\njsIT8fYqHIsjMg7mCgDIaYXjz1HYEQDiAmGZCxNKYnVzPPwK5wrxn4dCU9GgB7bMSnzDIhF9\ne3gploiyE7kZ+neGe3HUyoP/luGlEnXdDO5EJkej/vh7AqIfoP1M1F2oznOaBsDDD8jvAGMZ\njJ1RzBHjfbFpa3p9iEzlNgThfGaCiNR4KZaIshPL0tg5FyOaw9Edo3Zj/UXYGX7fmGUp9LVF\nyypo0hcV+2JPr8QNWpVH6wKYnnCX3tRygBma5Enr4ImIshovxRKRtDwdjhLHEJbMLHdJmlIW\nmzri9vBUmsUFwMQVQZGwCVVvOGbRpHGfRpLCAN4Hw8JOM+lMusvo/onoi/D/JBF9w2L9ceMk\nZt/C7+1Tb/yJ3BK//gpz4wwbVnoMoLgndia1Ikh6yej+ieiL8B47IpIW80KoF6Nv4zdrUWUO\nmoxAA3cD3sLIGjNmfMHQ0k0SA1BByJHysxMiDrIvDqN69E9E2QDP2BGRtLj0wo5F+jbO/SvC\n32LzFMiTySy3t6FWeViaI38F7HiorowPhUyGd1EAsGEGiuWDqQXylcQfJ9QN7u5ArTKwMoWF\nHWq2h18EALycBttqGNcOuXLAxhX1O+N5eEr1HwWdw3dVYG0KO1d0GqFeFU17ADIZLq2DixUU\npihYBUdeA0BuO/iHo5M3Su5Wt9kyBdaWUJijWie890e7arAwRZ6i2P5M/UYRd9G5EdwdYe+K\n9oMRkhCO9emfiLINBjsiomRE3UeFTrCsjSMXMLsbejZK3CBoO7qMwZBFuO2LMbUwsBbeRgKA\nTxe4t8eFmzjzD+JPolHCvMfhF7HsFVbuxv7ViDmO0o2hVKVUr4pGyXoILYlDl7Hrf7i8HFXH\nJTHO+rOx/hRe3EHVYDRvAAAv38PNChvu4XpzdZuhl3D6Hq7twY3t8MyHehPw5D5qxaH7x2vQ\nKpStgvfe2HEchzdDuRdF2iJeGNA/EWUTgoiIkrS+trAsLmLj1cXtLQQggiKF8r1642E/YWQu\nwmLVDXbvFmGxQhUj5s8X4QmVO2oLl55CCPFiqgDE5UB1feRdYWIkzrxOtl4IcW+wUNho+vf7\nUwAiUGsAQghArLqvbhDwpwCEUiWEEO7WYtMjdT0gLr1Rb9d2F3mnqbdfTBOAUAnxdLwwdhAx\nCZ80NlAo5OJBiL79E1G2wTN2RETJ2PoUeYZr1n6o/VPiBh4TUcgcrvnQvif+WI9K9WFlDJkJ\n+nfE7tUYMxztvkOXUzq7FHdUb5h7I6cldvmlVH/yEhy+g1XCjXFuPWBihFfhSKSWi3pDYZ/s\nZ3G1UG/YGMOjbEJ7W/XGrTNQhsLWEubmMDeHTR7EC7yMMKB/IsoeGOyIiJJhJINM6947hWPi\nBsbOuPUa2+bA0xR/jUbuvLgZjKgH8MiLpYfhmA/dh2FjdZ1dZLrbcaqU6lWATPdbWgaokJgi\nzd/kdqawrYmoKM0/lQq1E6aGTnv/RJRZ+N+ViNJJXABkMvVNZkl6H4zYz1OJrrcbIJNp7u7K\nWm098WKu+nY3AFeXJm5wbCGm7EaDtpj1B648R95YTLmJq8MQmgcntmBoPzSqiQ9KnV1uB6s3\noh/jTQSauaVU71Ma7/5BZEIPr9ciJh5ulun7KQGgYCd8OKl5YOLDWZQvj/C49H8jIspgDHZE\nlE4+Tq5mkfyEGl/dzGfNlkB1G23H48odHFiDNntgpPudaf8Ik77HhsN48hT/rYdfOBrnQg5v\nxLzEyTsI8sPWORh4AbF+iI0HAJkMjdriv4u4eBRNa8K0HKq6plRf6DfkiEOzYbhyD2f2o84g\nlB4BZ4vPBpoUmQyPAhASq1dj584obYdavXDsKm6cQqNWiPfRXAJOe/9ElFkY7IjIECL5szgf\nJ1ezzPxpe1XIoBN85oVwfi0CtqJKSfRdgC1XYWqk06DUQozrgOHtULAIek/Hz0vxQwEUmo2R\nLdC+MopUw/Yg+G6COI6KywFAZoblDfBjI9TuAFEVvofVKzckVy+3wPX9MLkAnxJo3A2leuHM\nNH0H/30NTK6BRof0bX/qNLz90LwqanVAnq44OTOd+yeizJHVT28Q0VcCEJsnC0tjYWQmqnYQ\nIa9Eh+rC3Fi4FxabHwsh1I9qBkYIIcT66aKolzA1E3mLiQX/CSGEi5UABCCK7BRCiLs7Ra0y\nwtJEmNuKGm3E8zD1uwSu1zx3eWaBMDETm++L8DuiU0Ph5iDsXETbgeJdtGZIl9YJF0shNxYF\nKoqDfpn7EzHQi6lCbm5APRGR4XjGjoj0NuTTXGg74OkJn9F4/BCNgB9b6DT7OLvb4IW4dQ3j\n6mFwXbyJxOswuFtj0yPcbgEA1TvBrR3O38SZvYg/jUbLE7/Xtb9Qezj+dwHt8qNsFYQUwvbj\n+G8LcABFWkGZcI6u3m9YdwLP76Dye7Ssk/E/AiKibI1LihGR3nb9iVLOgBfKO+NJH/RrCACT\nfsKKATqPO7w/ApkZOtaHlTHyz4VjzcQ33olYjJ2Bnv1haQwUxLAi6OOr0+DBFlTpgxkn0b0E\nnk3AEzluzFVfndxwARZOeBiCwg4AMG8r6hQEgFm/4O+eiFNpZifJboxzoFgRA+qJiAzHYEdE\nesulNReaZ3n19udzm3lMhPdmuORDk/qoWQetW8JaN9h9nOlt6yrcfoBHD/DvKVi212lQvhvk\nMlx9BXycYi0ElqaaV+NVeBquDnafplgzzvZTrLn0wfU+BtQTERkuu/5pS0Rfr4+zu22fA09T\n/DkKuT1x7Z1Og48zvS05DMd8+GEoNlRP3MPvp7F/ENZ3xJMPsDOFbS3ExWn+qVRonEfdklOs\nERFp4XciEaW3YwsxZWfC7G7PUECJ8dd1Gnyc6e3kVgzth8Y1ERGfuIdeZVD9d1RxRKPRKNgJ\noac0U6yFX0KFCghL2ywb/nN0Zh4mIpIKBjsiSm/2jzDpB6w9iCdP8d8GPA/Dd24AIJPhhh8+\nxCFHYcS8wMk7eOeP7fPw0wXE+iHms3i3exWeLMWJKihjh5q9cPQKbpxG42aIqQxrk8z/WERE\n2R/vsSOi9FZqIcaFYWQHBEYjjxcG/oGehQDgh5r4rQ6O7ML53/Dra7SvDJUd6nSE73aUaYPy\nC3FjiE4/jg0xogx+bIWXJ9D3J7SoBmMH1OuCfdOz5GOlSAUhB08CElGWy+r5VogoW4p9LQAR\nHJXV40izR3tFvfLCylSYWYvKTcXNYCGE8PtdAOL8MpHfRZg7iGqNxfk36vZbfxfF8wszM+FR\nWMzYrukn4oH4vonI4yRsnMR3PcSLhIn35DJxdZtwtxYyhfAqJTY+UNcHnRMtagknS+FVQgyY\nLeJUqfRDRJQeeCmWiCStWntYNMKJyzizD043UG+Y5qXvVmD2OhxaD9v7qFEaH2IRvA/tf0HP\nmbh6BdM6YHQbPHwPAFChQiW8cMe6ffhvO3JcRdHqiEpYwrX2KCzZj+d30cwIXSsiNh6qCJSo\nh4hS2H0Wy0di/Tj0O5J6P0REaSYTInsstk1E2UpcAExcERwFe7PUG4cpYZ1wX0d8LIyyzw1w\n8Zi7AD0HwMYEAK63Q5XbiLgN/zlwH45Tr1HNBQCUIXBwwfjLaLUa+RcgOAJ2pgCw7x+UqQsX\nczyfhHyzER4KMyMAELGwscbGB2jqASM5Zt/A0GIA8OEsbKsiOArPBqDSXoT6q9sfHoplDtg2\nNqV+iIjSA8/YEX3zrq5HlWIwN0GOXPiuDyI+Ww02yQbxoZDJ8GI/KuTH+KsQMZDJsHIILCxg\nYonm4xB0GdW8YWqOYvXgF575HwsAYIRBP2D/WowbgU4tUXOPzovlnNQbCnvkt8P2l8gzGiUd\nkMsLrbth3ioUqw0XcwC4dQqqSFibwdgYxsYwsUREHC4Hq3dv7q7eMHZQb+y6CufO6vQGoN5c\nbBubej9ERGnGYEf0zavVAxUG4M5j/LcBNzdi4EUDGtT/HZNXY1xJdfH3d7j5Euf+xoEZ8GqB\nSZvx+DLiLqNtFi0VH/0Unp5YsA+2Hug0AP+2TralkQwmRlA44uor7FuKInbYOgtertjvBwC2\nprAsnXguvYml1ft+PpderArypM50ptwPEVGaMdgRfdviwzB9Dmb2Qt7cKFUTDd3hG2JAg9/+\nQsNqcEhYFmLXAhR0RdnWcLNCkzWoUxLuRTG8KF7rzmOXaW4NRZAtTm3D8J/QtA7kUTqv+gap\nN+JD8eA9vvfEkbkYtxY1m2HKfJy9h5q2GHYMAAp1RcR1vIlUt4/1R6WKeB2R7Ps2LYTAdYhN\nmMDlVA8UrPUl/RARGYjBjujbZmSNni2xZQVG/oyW9fDXfcMalM+hU/yU8IzkqJSw2JeNAll1\nL69DCcQG4pAvAl9izxK0OAJlCEIT4l3TZvj3FC4cQesKUHqhUz7keInpfbBkFx48xNHNuBKE\npt4A4NQBFXOgbCscOIvrZ9G6KvxyIqdlsu9bcQksAtFmLK7cwakdaLURlYd9ST9ERAZisCP6\ntkXehUcBrD4Ft6LoPxE/FTasgUn2/g7xmoSJXfBjHRSugr/u4cIxOIaj2I8AYFMJI8qibwvU\n6YgPxXHpLMwVKDkPk3/A9B4oUhw/TkC3GZhRTt3VsXOoJdChLmq2hqwRrm5O6etT4Yib/0J5\nGvXLof1wdJ6GlY2/pJ9MI5NpziNmpghfyGRJ3NZJRF+KT8USfduONUbLDwg5rZ5ct3shXJsD\n36aap2KvtUq6QXwoFHYIioSjOQCIGMjNEBgBJwsAKOCAAacwuCgAbK6JET54PjlrPiDpQyZD\nQARyWmT2+0b4wqoMwmNhaZzZb00kUdnhT0Uiyjo5vBD5AFeeIvgV1k7G5ieIeAZhSAP6Zql4\npo0o22GwI/q2FV+MQT5oWBxFq+OEMU6Nh/9QjLxsQIPMFPdO35ZKVUaOQ2/Wpph0LWve+sZm\n1CgFSxM4uKBeFwQm3Fm4diqK5IWpBQqUwSqth1oCT6NSAZiao7APzgem0olMhnVjYGUBYwvU\n+hHvH6FpeZiZwqscTr1Rt/lwEx0bwM0eDrnQZTjCE1Lg9Y2oURaWFihcFftfZPjPgehbk9VL\nXxDRty23jai6Tb19uZMAxPRr6uLUssLEVcSrhIWxuP9S9GwuzBVCqRJxweLndsLZTphaiXJ1\nxd5Hmt6sTMTlQ6K8pwCEQy7Rc7JQJqzlFfdW9G4l3GxEjrxi+m5RJIfoezbDP139WuKvB6k3\nywh2ZuLHOeLeY3HthCidQ1RaL4QQb7cKmUysOSSePhT/6yHk5iIkWgghAOFcUZy4Jl7eF608\nRY42KXXysb1HK3Hjqbj2r7AwFtaWYuMJ4fdINHAXrr2FEEIVJ7xsRYsR4updceWEaJJHeHUT\nKiEibghzhWg9Xly5LXYuFBaWAhDhsZn/4yGSKgY7IspSo0sJm6rq7V7eQiYThRaqi4UcRLEl\nQghhYSya5RV9pohDR4UQormnMHUTS9aJAztE+2JCbipuB6t3sTIRruZi4Hxx+Yr43y9CJhNz\nbqpfau0lbEqJdXvE1lXCzUoo5JkR7LJKfISYP19ExKmLSyqLPOOEEOJhX6GwEeEf65Vi1y51\nG0Bseqxu/GS4UNin1MnH9tfeqrdLOonSq9Xbd7sKy6JCCPFwpDBxFrHx6vqox0ImE35hYmV1\nYV1Ok7b/qsNgR5S+FKmf0yMiShcvnsEmF+x0Fxzr2QzTJ+N9DOxMceAVRlfCnDkQAwElnn/A\n/+qqm91rjd1jAeD9Yex5jj3P0DQPADRojtO2+GErLvVWt7T9GQsHA0DZMpi1Ajv8MLQYQk9g\nx1NcCEB5ZwCoHAf33vgycXEwzvZ3+sst0K8DtqzE7ft4dB97L8G5LgB4TESBzXDJh6b14VMH\n7VvCIuG3QFVn9YbCLpVOPnI2V2+YK+CdT71tbKOe2ubaBcS9g43uTC5hsdj6HJ6zYCRT1zTp\nBhxJzw9O9M3jPXZElFlqlMKye4kr8wyHiRGuBiE+DK/D0X0mop8jMBKBaxGtROOE1bq6d1Vv\n3F0MAA0S6iHHAG/c/UPT4Y8dNdvmCsQLALg9D1CgbMIaYm69YJXUgrbK9xjZFZ7OMDaGozva\nDcb7WPVLTpZYegU/+MDMFGa2qPAdzr9Vv3RzPuRy7H6uLr4/CTMFZl4CAFszrXvs4jF7IPK7\nwtgUeYri1z/UYwNgaYIFtzXDuNsaMhniVADw4jCaVYOLPcwsUb4hjvon9ZP9TNQDeHhhxTE4\nF0LPkVhcQV1vnBO3XmHLb3BXYNkwuBXEkw8JL3326yC5TpIgS1xhbwKHRoiK0vxTqeDtALkM\ncq03Utjr9XGISG8MdkSkJSxtqyB8we5G1shni7m38HoZjNzg5QMHc5wKwMm1sKkIp4TTQiUS\nTiO9CIWJq04KKW2PqIeaYkHrJN7lYTDMPCDXyh9Jzq/RqxLm7UOfSdi6GRN6YO9S1NGKjAsb\n435ebNmHtbPx7Ajq1FAns+I/o38xdG6CSCUANGkPzx4YWT5x5z9XxsglaNwXG9bg+3KYPRAt\n/kjcJpH4DyjxHR444bf/YfViGPmiYWm9Zn27OgzhBXB8E4b0QQMfhCTscnQBph9Ao/aYvRTX\n/OD8HvPvGtyJPoq2RchhfEiIxcH7UKUaYuLRzhNP52oS7ZnVBvRJRHpgsCMiwEiOl/fQpBJK\n/AYA0c/QsxnyusDGCQ1/wP1QdbPoJ2hdB/YW8CqHQ88gkyEkWt/d3azxLBS/loTH+MTvPqgQ\nLvwPh3cj92DIgLI5sPA6Ft1HxTFaI0zIZLltEPtafTbro1uhMPNI5QPmMkfMc2g/KRuZVEwJ\ndMcvBzGqH1q0wqBJ6FUQj3dqXvVzw6lVaN0QbXtjdxNE3tUEl3lHYPEEXf7Gjh9xMQbH5yU+\nhxVxA4uvYMBhLJyAth0wdQ0W18LegQhMcVrgoG0IjcHuv/B9e3Tojn1/oXMTvYJdDm9EP8Xp\newjyw6ZZmHQd0Q8Rp4LtA0zsgq3H8PIFDq/F2yjUcTG4E3249EQxK9QfgDO3cOsU6v0A02Yw\nNULbRYi7gi7TcOMhDqxEt/M6aZuI0i6rb/IjomxALhNVS4q1h8XL90KoRKkcotIP4r+z4sIJ\n0a+6MMsj3scIES+87UX1/uL0FbFzqbCxEoAIjtJ39/h44WkrpvuKeFXid3+9XMhkooiDGHNF\nCCH2NRR2tYWdmTjur25gYSwOvFBvB/8rZDKxP6EoVCKPjSj9h7pkZSJ2PdX0XCSHqLRPCCEC\nNwlAXE243//13wJI9uGJ2DDx4Kb4Z5MoYKt5sCOHhah3QNPm2RjNx//o2hwhkwkTIzHPV1Np\nYyom+gohxM0uAhBBkZqXop8JmUxsfqz+gPNvaV6600oAIjZeRD8XpgpRsJFYtV08fpP0aJMz\nqqNwshbOnqLLOPFopbAxEZX3CqESY78XLrbCyEzkLSomrlM3BkRAhHr7xVT1wxPJdiIEIF6F\nq9tUchXdTqu3H/0kLIqot8NvizY1hJWpcHQT348RkQkPYVxZK6qVFuYmwqucOB8oFHI+PEGU\njhjsiEgIuUyMvaTefjlTyM00z0IKlXCyEDOui2cThdxMfIhRV29vphPsUt1dCOFpK2ZeT+rt\nlcLCWADibrAQQgTtFICQyUVYwu977WAnhGjiIcw8xJ+bxZF/ROdSQm4qbmk9FZtksBNC1HcX\n9uXFlv1i9zqRL4+wMBYDzyceyH/LRNkCQi4TjrlE5dqikpNOsOt2StPy82AnhHCzFkbWmgQj\ntILdgXoCENFKnfYmRmKSr/oDJhnshBDXd4lWNYWFQgDCrbAYvSyJZExElICXYokIANAxr3rj\n/lGoomFpDJkMMhlkcryNxPkgHPsPtj6wTnjmoHp7w3ZPiRFKOEJmBE9rAHBsASsTOHeFVTIP\nn+66il7lMao3GrbH3Rz45w6K6nEP/r830CYn+rdGv5lYcgYWxshpptMg7CIa9kPh7nj2DkH+\nOHsEDd11u0jxouGuPngjh3kMemxJ4lU3JwAIj9XUfLygnNcyicbvojTbJZpj+zGEheHycfSs\ngpl9Me92ErsQEQHgPXZEpGaeMO2FjRksCkGp1Pm3ozai43WSjUxh2O4pO/caKiXMEjoJi0HA\nas2rEbFokFtTVDhg4VYEvkdsBK4cRmMvzUthMWjuqSnefotzjQAg5hlWbsH8nXgbAf+bqG2G\nDzGo6Qxtb1ZDqcKsgcidEBOPB0JP4VfQaRUmHsKegdjUBRc+2zHvcBjJMOW8pmZNNwiBerkA\nQAbcea95aWzCghCnuiB3bryPgdwMZWtg4p9wMMNOP31HRUTfHgY7ItLl9SMi7yMgCkZGMDIC\nIuFTFbfeoUZ5fDipWRjq7CbDds9aCkcMH4SRfyMsBhGB+KUZ5HlQVjfYOXeBkRx9JuLoKezc\niBZl8DgE0U9w/bMpWj7XtBmc22NUedT6HfXd0agDYnUfMrAsjX6lsLAehs3Aru2Y2AP9/kOT\n+XCxBAAPa6xpj1U7cOQf9K2N0wkhr0QPBLxCg+5Ysxm7tqJ/fQRFYULxdPmREJEkMdgRkS7H\n5qiRC1XaYc8xXDuHrhVw1xiF7OA9G3lN0GIELt7Ev3+h/x0ASVydTG73j20fPMOb0MS7ZAIj\naxxdjhNjYWsOq5w4ZIZDZ2FmpNPGpgp2zsPzXWjcCBMXos40XFgOq1DU+z6Vzjd2xalgHP1D\n/YDntp2IOoVBexM3W3gR0/tg1wK07Yg/z2H4IuwepH7p2E7UccXPnVC3Gba+w75f1fW2tfDv\nQghf9O2KDt1wTok151DPLa0/DSKSLpkQIvVWRCRtRnI8CkFeW3Ux1g/9+mDHcaisUKkJli1Q\n3/0WcR8dfsTRq8hfHeu7oXhnhMXCyljf3Wd1wKTt8JyIO2OSGkSmCH+HeAvYmqfeMku88YeT\nG//iJqIvxmBHJC0xz2CWF0GRcEzv7BJ5B2tPoUcvKOQAcP0nVNiJmFfp/C6U5ZwsUXc/Nvpk\n9TiI6EtwrVgiaTGyw9ixMM+AxUyNHTBsIIKd0b8+gm6h40Y0W5H+70JERGnAM/5E0qKww5Qp\nmpXd1VRI+6l5YxecXo3dY+FqjwptUXkA1rdIc6dERJSeGOyIsr2yOVF3h6Y4oiRcugHA3R2o\nVQaWJrCwR+2OeB0JAHEBkMk0E6HJZLj4N1ysoDBFoao4EZCmkZTqhPO3ERmLdy+wcjJMjFLf\nhbJEqCHruhKRhDDYEWV7v/ng7EioEs65rXqIsSMAoFoX5OmAi7dwZjfCj6DJ+qR3bzgPG07j\n+W2UDcR332XSmEkfr0+iTS245YCpBYrXwMYbCS+oMPdn5M8FE3MUKI/ft2l2UUViUm8UyAUT\nY9i5oEk3PAlTv5TTCrNuYPUYFHLC6gep9ANg5zxUKAhzE7jnQ7+JiFQmHt640jB20Jm3pYc3\nLPIhnndmE2VjWb30BRGlJvq5UMjF/RAhhHizVsiNxYcYER8p5s/XLLK5urrINUAIIWJf66xJ\nCog1D9Tbfr8LQHA9qmwiPkI4mgu32mLJSvH3n6Khh5AZCb8wIYQYXEHIjMTA8WLdajGolZDJ\nxNhz6r0GFhdyMzFqtti4USyYKBzMRI4m6pecLUWHrqJsW7Fuh3genko/W/sKmUy0HChWrRXT\nfhFWxiJPExEXL4QQOSxEhxNCCBGwWgDizGv1Lqo4YW0iWuzNnB8PEX0ZBjuir0FpJ9HlmBBC\nTCwtCk9XV8YEiPXLxaihom0TYa5INtg9C1VvB/zJYJeNBG4QgLgYoC5GPRTduonTASL0lJDL\nxNjTmpYt8wqrUurtpnVF/2Oal7bX0qwq62wpzAtqlqNNoZ/4SGFtIpot07z05C8hk4lV94XQ\nCnZCCEdz4bNJvf1wggDEw5A0f3IiykB8KpboazCrOtpOAE5gyQOsIdzWjQAAIABJREFU7gIA\nUQ+QrwzyN0GLWqj+Hb4Lxa/J7KvgHRfZkm0tmCnQpiPG9EaNaiiUH6tWAcCRH6ESGF5e03Lj\nFbxPWGT2n8MAIGLx8jke3ceS+zp95h8P04QbHy/NSLafgBUIi0XfUrj/afcqsDPF4rvoVlCn\nw275sXgE4tvBSIZRa2FbDfnt0ufjE1HGYLAj+hr4zEWEF26tQ4gF6rgBwNVhCM2N45vVN8ou\njc/S8ZHhTFzguweTFmBkN7yPgWNetO2OeaNxJxgAbEw0LU3tkTNh+/QajPod5+/AygkFCsJN\n9zvcVWuRtBT6CbsEAI0rJh5S6MvENcN+wpy+uBOMohbY9xI9krmPk4iyDf4pT/Q1MPVAMUd0\nHIBqC2AiB4Ac3oh5iZN3EOSPbXMx6ipiXiJOlVpHGS+3DXKPyOpBGEJ7wDIZ+p1LtmU+e+Ts\nmp5v7d0IGw8gJBK3L2Jce/w1Ce33IK8VAERoPdYa5ouDBxEvEOGL2j3g3Ar3AxASgIsn8XMR\nnQ7lWiu8pdCPaR4A8AuDEDr/Hg5IPELXPrA3w7iLuDMGkXEYUyIdPz0RZQQGO6KvxKxquBWK\nefXUxUKzMaI52lVCkarYEQTfNYg/iCqbsnSIAABTM5h+VZcCsmrA57vA1RVvIgE5ipTH4BnI\nbYMrJ1FlMGQyLLyuaTm4A5r3gAx4sxZx8Zg3DF5O6pd2fnaO7ZMU+sk1ACZGmH5C81LwSeTz\nwq7nSfTTyQv/jcTwbXDujJwWafrIRJTxvqrvX6JvWf0diScZnr4e07WKIe3VG9rrBGpv5+wB\n0SOjhvfJo8AMf4v0lVUDLjoA7zbBp93/2TvL+KiOLow/dyW7cU8IhADBIUhw92DFQotDcSsu\nBQq00AItUhwKLbTFKVLc3aW4uwcCASKEuDzvh9xls5vdJEBCgHf+v/vh3pkzZ+ZuFnIy8hwM\naA5nCxzfgLuhmNAJTiXQsQi+r4TgH1AuL05vwqJb+PYAFBLc2kE1Ex2GY8RXiA7Cv/NwLBAA\n9p1AnYrG/p0amfVj4YGf/PBdY0QNRo2yeH0b439GXFk08DQxzhHdMXcQdkuYYm4Xp0Ag+IgQ\nuWIFAkHmwxjQwmChMHUS4qHMij87JQm9jmFeiiApibyOeN0Iz5ZmWHcHF2LkTJy7iXgF8vui\n2zAMagYAjMWE/li4Dk8ikK8g2n6LUW2Q9OHtnI8R03A9AHl90HoQBhRFsZp4loCgIORzQqkN\n2F5H7z8VPwAWfI/ZS3DjCdxyo347TPoOThogZa7YRDhY4VU8QiJgr8mwdxcIBJlEVh/LFQgE\nGU02Gy66mbZZJuFlR89v5fsCTvSexhm9aa2mpGS2gpy8hSR/7spsTtTa07cOjz7TtwX413n2\nqkcLJRUWzFWcPy5iQjKBlsPL6FeWdpa0tmeF+lx9Rl8V+5RDv2ZuV6pUdM3Fr4czPDZdtckH\nDLDXMS75gYU8qdYwpw9H/s543QC8HejW3uBlb+3ml7XobEcbJ5apx8VH+FmS257eo7J6EAKB\nIF2IpViBQJCZPJmNYZEYNh7ZJEz+CcMa4XARXPfCdxPx4gR+WYS6dfDqgn4y79e6uP4K7Xoi\ntyV2LceYTrgYibW9AeDoeNQYA1sfdBkCy1f452+0LI15l9DLBwDq+OLIC3zdF0Wz4eZR/DkZ\np2NwZbrsNvXa5BwZigXn0b4zvtJg13L83BOnnmPXKBOW91fC52to8qJrPzgkYPtSdKyCK7sw\nyc+E8adL2H48eIVVXbJ6HAKBIH1kdWQpEAgymvTP2CVkXKfhOhlkoxk7gCd1c3L3ZxCgbTm9\niG63QgT4Ikp+BChJ3H5PN7xI+ucmwDuhZAKdLWlbhsHRcm1MAHPbUZOD0fF8fYEAW2/Xj6dt\naWbLxog4kmnUGs3YSQrueqAfQLNcBHjhBZlixi6/A21KMSxG95zANnmpUOvVoT91YgM5bx4r\nulGbW/8jEwgEHzfiVKxA8OnzYCfqV4GjJXIUwbQd+vLAg2hSBfbW0FqjZE1s1Z151KhweTfy\nO0OlhGcB/LpXLo++j5Z+cLZCLl9svAlLNR6/lqtiHqFXM7jaw9YFddrifLBcrlbi0V00q4JC\nQ02Pza4CyunE1Ty+BAD/qXoR3WaeAJCYTKUle3/Uzy3fKyyxcC4ATLqKoOV4GYUhC+Co2+Zl\nkQN/1UHMY9wIgdIGCgnn1uJxhFy7/DQCA2GlApBGrRGe38LPSz+AP38DgF+uGJu9PoVboRj2\nZzKhOAV+7Y/EOOx6Yvqj+OSID8OYoQjIgfWH9D+ylLw8gWY14WYD91zoNwXxidg3CNaFEBUP\nAKEHodHiRigA3NsKv4qwtUSu4pi1DwAizkGSEKNTYVxcDfnnyfe/j0YBL2hsULQ69jwx25dA\nIDBEBHYCwSdOzCOUaIrnubB8J34biRkt8DxSrqrUBMG+2Lofh3agQhiaV9Snb6/+NUYtwa3L\n+KYwhvnhWSSQiFKl8CAn1uzHjG/QuZT+1y2AKqXxnyWWbMTuNSgWinIFEKjr5eumaPQdjkww\nPTyVs/5eUgFAdstktSmOU5RuYvDo1BCWKhy6g5CdANDSy6C2aFMAOPUSWm+Mb4vbfyOnHYpV\nQu9vse4gEnUvm3qtERUbmBjA2dvGZsE7AOAHX0iS/soxAACuhZn2/MlhWRDPXuPhWdTPadYm\nMQrF/eBcD0euYfuf2D8RLZei1nSUC0ePDQDg3xad16CgA+KewfdLFOiIizcxqxMG+8kSyiYJ\n/B19pmHqWty/gnZqNKmORJruSyAQGCL22AkEnzjbeyDKEYcXy/NP5RKRoxMAgOg9Ct36w0kL\nAF7f4PfuiI6HtRoA2q1Cp2oAMHIdxlogNBrRU3HjNYLnwV4DlIfdIdRZJnfxeBrOhCBsCWzV\nAFChJtbaYeRZ/F0FAIrPQ7cqGfY6KQ/OShIS40xYQhcpxhMAvluGziOxfjMOHcGW3zH/V+Rv\ngPOb5I8l9do0B6BIcRo0qeSnJfr5yDd45U39FT8rbg5HaA4sGA6FBOTE1uHI2xtxHbDhH7j7\noc5enPPGzoYAcLQPEktgdi8ogDyD0eUEzoYglxm3IYdg4YG6paFR4tsVKH0OBG6Z6UstZigE\nAj0isBMIPnFW3YZHb32A4vE1bLoDACQM6YkNq3HlBu7dxYGtBq26FNbdKaFUAMD+XbCtoNez\nKNMF0AV213eC8QbJqQCceibffG2YXfQ9ObMNqKV/DNuPyDiUyQtHJbAc/z7CaCd97fWNAFDW\nGRG3cT0MPiXRuwh6DweIlT3RdgFW30WnAmnUGnFiN1Bd/xi6D5FxqJ0iVnNqBGkEwgujXhl9\n4atT2H4Xlf6fVHxPX0D0fTjrfiiMR0IUIuLgUBWTqqLTfOx/AgslAPx7HdmH6FeJ/lgNABHn\nTLvNNwk5fOBREI3ro1Y9tG4IpWS+LyHCIhDoEX/oCASfOClXM9VKAIh5iLw5MXEt1O5o2hHr\nZhnYWKbYMhWdYPAfgpTsrz57S1hkQ3S0wXXOX661U2fEa+h4PB17A+R7xqJnNwAY5QO3dnCy\nxJReCIuVa2OfotNOWHigqBOezkaZMvj92pvRo0JJAIiIB5BGrREPJ+KAbkcXY9GjGwAMK2ps\nZlUE+RzwWye8jNYVJaJlc7TrYmLOL0PYMQZuNvjyQOZ4f1fs1XDviJAQ+QoNBylHWveCIEm4\n/FK2jE2EIq2vSrRu9d/CEzeeYPFYOERhfAd4VUJEXGp9CQQCHSKwEwg+cVoVQOB8ROpilLD9\nCI0GgOtDEZCA4xvwXX80qw/XkDT81CiP8BN4pQubzv2lr/LuhrhneBIDjQYaDSyUqFcTezPn\niEDOoqhXCN0GYtx3qOqNVXfR6FcUcQKUWDcMr0/CuyKG/4QxQ1GkIO69wqzd0CiR60e4WGJw\nJXQfiGnT8V1v+A6GpTc65AOQRq0RLmrUKYjug/DTCFTJgzX30HEpvGxNWO6Ygbjr8PbFN8Mw\neTxq5MfOAAzbDBvD8CXqFn78EeOnvO8n02cW+mzCimppW35ISjXAi7XyOQkAl35C3b4AcG8R\nfn+Ofd9jaH2ExwJA49wIXKjPntK6AvqckO/fbP3c8li+2T0bv55E4/aY+SduPEb0BZx/YbYv\ngUCQnKw+lisQCN6P6Ie007BcR+46yh1rWNSJliouusmHEwlw5UE+usOtC5nPnQAvBZCkhZLX\nX+o9aFW8/pKJcSzsyMo9eeQMtyyiVzECDAiXberkYLYaXL2dZ46yc0la+/B1LEmqFLwZbDAe\nI7kTpy/0VbGBBDjitL5khx8BBkXIjwA7HeHqH5nfgyoL5vTh9wv1+sAk9y9irVK01dLSjhXq\nc805fVXgYbaoRWdbKlR0zcVWfXjnVbpqjeROtpzjqM70cqNKw7ylOWkV3/SfUqD40iY2rkJ7\nK9q6sEwtrjhs6ieUQKVESW2gtPwOeNpyx8P38hAe917NTZPAvPasMpAX7/PCTma35uAjTIxh\nHjv+eo4kG+Rk3TkkGXWX1moO/pOPArljLtUqXnzJhEiqlZy0ha9DuXEyVQrm+40kj3SkhRu3\n/cegQG6cQZWSD1+Z7ksgEBgiAjuBINN4fZbAhxAAu7uVNUtQq6JrPs47zkLOso7dLz2Zw5n2\nHqzbkTefs6g7NQ6MTzQd2JGMukP/arTRskh1XtptEHLFBrJ7Yzpa09aFNdrxcohcnjKwex+S\nArvPjwKOBHg3LG1LcxR0pyTRQsMme0ny5Uk2q0k3G7rmZK8JjE0gyRN/s3xhatV09mCrAYyM\nI3XB9L0NLJWbY8+l1sU7E/Ifm1SjsyXdc3HQdCYkcmZdZvOXA9mwo7RQ8thTkryymtVK0VrL\nvMX5+yG5+ZJRzOlCSaJNUa6uIQd2iXEc1IIuNlRbs1BFLjxqti+BQGCIyBUrELwfcXFQm9k5\nFBeEWUsxcDCU77rrKjoBWvP6YRlL1HX8tRc9estnDG//gIJTEB3xQY8cShI6HcHflT9cjx+G\n+6tRuB18BuDklLdImGtETjssvIJ6OZEYjVyuqDkcI9oh4jZ6tIH7T9jRG3Za9JyLb+oj7Ba+\naIIO+zGxDOKewsIDBf0wayzKlYGDRdodZQkRL6FxMrFhVCAQvCVij51A8E7EPYUkYVYXWGph\naY+u03FpFQp5QGuP+j0RlwgA8cEYOlTWUJ07Avk8obVFibo4/UJ28vwoGleDsxWy58W382Vl\ntZj7kCTcXgEfD1irUWONvtNsNlhzN7PeSOWCEYMx7h+8CMPdU2g1D9WnCiGJjCF3S1xYj1cL\nUaoZlm/GnUcIC0dEhIkrPdwchpceWDQKRfKgrB+2/oxdAxERhl+mYXxn5PFEyZqo6o4Lofom\nM/5E3Uofb1QHwNpZRHUCQYYg5E4EgvdgjSMCQnBjMWoOwGY/HDoH1VUUr499o1EvmaZr4DwM\nmIvth1HCBTO+hF8LhOxHYhRK1EPznzF7NYLPo3lLROfFbF2aUf81mLcFtitQ6TsktoACCN6E\n5/H4wsvkQDIAtQuOLUGvcZjaCRo3NOqK33tkVl/maN8elVw/dKcfgPz5ASBBg5ub0H5Tapbp\nWUI5fQEx92Fvp3tOBOMQpUHXplg5H5ev4cYV7LiHOsma+Dqb8CMQCD5HxFKsQPBOJK1wPQ5H\ndhsAcNDi72vwzwMAhZzReT+GF0fUdVgVRnQ87nyNsmcRchkWSsQ8wIHrqFcP1/qh/HGEnZbV\nMS73RbmdiLyFmPvQ5sGJpyjvjsQIWDvg8gvktcfU8ljYHNeGZ+FLC94RKd1zUan8h/xmKXZL\nHXTPjcCFBrWRV5CrLEp+iaY1UKQolnfCkznYXkf+ogZHwVH77uMXCASfDmLGTiB4D2x1a1tK\nBYo66O+NyPsL3HyQrRAa10O9RmhZFwDOXETkVbjpJqgYg6hwfe7LAg4AoLBGOTdMuow/KmPa\nVcxdlZkvYwalAldfoKATNCr8F4gSyWbUIs7BphSuvkDhjJgQUirw1w10zJ8Brj42Ll/OSG++\nDfFiHCLny6rUt6ag1xWMfob4StitS7E1OzYVBwKB4DNGBHYCQQaRyqSMxgu3H2PzOuzajWFf\nYXQ13NgCezU8+uLRZGPjJIlWC110OKE6mk3E5P54loh6npkx8DRo3x52QgP2/SiaQt/4fcgx\nCHnGodZA/DYIijtoMg6N1iPHZkSuxqXH8FJi3W/Y/hDFHmZkpwKB4BNBBHYCQeazfx4ulMLA\njmjWETNfwM4Dj8LhWxdBMxA7UY7hDg3BjNxY18+4bdlJCM2NWQEoPB6WWfEPdvGSLOj0M+bK\nSZw8h6CXSFDBNTvKV0YJ77d0IeHUHnQainrFoXRFqzGYVgvKWuj9ADULwiIbmvXG7qHw64mp\n5dDfJVPeQiYRVGRMpo3QaDi8WSzOOLcCwf8hWa23IhB8miTJg72KkR+dLPVybkVcOPECSUZe\nk3XsTnSgxot7zzM4iP/+TKWGL6PIBOa2Y71RvPmE57bQSctpl0ky+h4BWf43icJOVEjc8uBD\nvp8JLJQ8H2RQkiTUd/VFxvhXSLL83ufKtlks5k7A+PKpze23snpw5IvjbFqTLlZ0zsV+U2Vd\n6JBT9K9GWw1tnenfjyHRsrFC4tk1zGFDSUXvklx5Mw0/ETfYoSFzutDejU2783EySeqA8/Qr\nxUJ/p+FWIBCkD6FlIBBkPuX+RM8yaFkZ2bzxw04sPwUnLaDAmR1QHUT5vGjYD71nY6CZBbsx\nJSBZo3aOjBlMfDCGtkV2J2jtUboe/r0MABWyIdcwvU34CSgUOBQIAGolbgSn5jD2Gbo3gZMN\nbBxRtx2uJFPZSIzEjz2QPzss1HDIhi864W64XJUQhm+ThmGLyk1w9qVJ358Ps9rgiwG49AwA\nrF1RpDh8CsPeAgAu70XDgph3JiuHlxiB4nUQ5YvNx7FyPJaOQv+DYCxK1MLDXNh8BJsX4/5K\nlOiszwlWcyTm7cCDa2ikRIfyiE0w6weJKFMBAV5YsQO718D+JIrURIwuLax/N3Sfir0tUnMr\nEAjST1ZHlgKBIC2GF2eJ2RnmrU4OetXlqs08tIfjelKp4Pr7PN6FkpJhugnIeZVpVUSea1Ep\n5LwU5mbsijuyTGvO/ZM/fUtrNTU5+TJKNuhXjAotv5vClSs5cyydtHTRZRhr4EVJwR7D+dd8\ndqtJbW5Kn++MXcBSKiQCrNiWB67oc5QxgUfWs3J2AlRo+OR1hvXo6Zmu6w1nu9LCnVG6LCnb\n+rHZT7w5mAotQ3XfipDdVEi8E0qSColTL8nlYUcJMDjKrJ97Y6m01hcmRNFazZ2PSBLg1Iv6\nYZhzKxAI0o0I7ASCj5iYAJ4/QBsL7g7IGIeBCwgwMEJf0qkAs/dmfCi1Ki64Lhdmt2H3g/J9\nmoGdq78+neujdVRIbLFTfmxUh9/s19v/W5MAYxP4aDoBjj+qr+pdmMBnG9jV9yLAYgMM8t6+\nIT6cxZ0JsNHWDOuxWzf9ZWdBgPnLsFU7tv2SpfNRkligKWfM0Nv/4EvPwcZO/qhkkOqXpIOW\ny26RpELibV1auaQtB0kRmEk/W2pTkqhS6S9J4i8XSBLQ+0nFrUAgSDfi8IRA8BHzbCnKj0Pj\n7zJsHfbuOgDwsDYotFJBaY/6OTFuIbpNwYt/8eQ1xpdJr88JP+tzpnn6o4gzDvwJ1AWAzbsB\ngLF49AC3b+C3G7LZmpWQ1BhaXu9k/GTMa/zOryVzox0KrcCimxmpmeJoicTSCDvyXk5OBgHA\nv2NNJ5dT2uDfPsj/E47OABq+V0dvWLBAvlnUGoussfEUmhTX1x5aAL/esJqkL4lNhCKF0B1T\nKPBJQLxuLVZlaiePST/2Glj7ItzMWrOFYdI8k24FAkG6Ef+EBIJMIzQEMYlpm6VCzhGIjsAM\nW6isTNQyBpKEwPTloUrCxhqSEi9DEBqqvwJPAMDkDng0Ha9iMX08cg2Cm6keTVLOUMSuiD2i\ndXnPjixG1WKwsESJqhgxGba6vyRvvYYmBzTJfqM7NXgLFd+PjgTExCDBvLZweCwAeNqYNfDs\nBADhpzJ4XAC+3YQuGwyiOgDVuqNPYYwYpC9pVBBBy/Qb2vZ1RKH6qF4GoXvxSieJF3YQYTGo\nnGpqEJN+CnZAxAU8j5ILYx6gQjk8i3zvdxMIBCYQgZ1AkGmUyI1/7mT1IAzJ9Q2QiAfxsLeX\nrz4t0O8YAOT/AXYq/HMX829gev+38HkmxODx5itYlwCAiHOo1RVuzXHjKUKe4r9DGFhEtils\nh9jH+u3zAKJupSub1sfJ4xnQajHUfFiWNAsVY/4cQMwjAFBngjRJaAzKuZsoL+WEV0f1j+Xn\nwioILb7HmWs4vBYt16DyQOSfhGxK1OuNYxdwbCfqtIBnS+R1MOEtdT+urVHOBdU6YudxXDgK\n/6oIzPkWfzkIBIK3QQR2AsGHJThLUwLY14R/HtTww5+rcfIwRrfAysMYlLTqqkSnfBjaAq8d\n3i4j7cjvkaiLyQK34NJLtOgGAM+WIi4B04fAWzfHs/6RfNO8LRLjMCPZ2tyMru/1Xh85rlYA\nsOy2WYNVPwKAS/OM79pegyl/wChmZjx+vgyH2voSlQsubkXcIfiVRuvh6PALfq8LhRYX98Dt\nOuqWQ9228GyJ84vTkJcz6QfAgeMoE4pWtVHjK1g0xpnlQqZOIMgssnqTn0DwmZLdRlYpK7SS\nJAE+Pskaxei7mSRfHGfjyrTR0M6NLQczPJbUKdi92S0e8CuT/oUG/EqFJQ/MYB43WruyRnNe\nCibJxGgC8lHK19fYrj49nengzi+/4QvzW87jQzm4Fd3sqbWnrx83Jjuv8GwxATbdaGCf5uEJ\nhcSKHfjHEv4ykrYWtCspi/CFn6ZKwWq9uG0P161gu6rM40SAO44yPpH1clJSsu9oLv2bA5rS\nujCt1e97eOJ624w/geGgpV3lNGySflIDT5o1mFuLAC08ePChidojv1OjJMC5V99rqCaZ04AA\nG3zDw2f5IpzPH/PwRjbMR4BzrmR8dwKBIKsRgZ1AkGl42emDDIAlynHdIT6JZEIUc9iwUjce\nu8ADm1nEkUX6kqkGdpKCHlW49TCP7GQtT1oVZmRcssAugYUcWb8/T1zk6UNsXZCudRmbkOkv\nmBTYndjAplVop6WNExt356Nkmh075rFkfmotWbQsx63gqwvM5UStPV/FMO4lB7dmNgdaWLFs\nA959RTfrt4vJAo6xfUO6OVBjw2LVuWA/rxkGdjEBHNmN+T2pUdPJnQ3acO8dAw8VPAxUppNo\nlocAX0TKj0mBXeRddvenuyM1NixUgROX68+35nM0UBs+8dTEUONC6GVLgJKKTbvy92XcsYc7\nt/GP6fSvQkkiwJyNGWfqzOz7ksgRX8liK28uhSVHLM2EvgQCQdYjAjuBINMwCux+083HXB9A\npQ1f6XJLBK2W47NUAjuAp3WzZdH3qFVx3T19YHfvB6qdGKOL5OJf0ULJC88z/w2zjoB1tFIT\nYM5CbNKQ3q4E2KGQPrCLfsACDgSYoxD9W7FicSoVlJScn0w1LZ2BnXVR5ren2onVGrBySaoV\nBFhnhCxHt2g+f2xKgNUHc8YMPo2gSYKPs5SribQTSVfx5nrxv8zgyUUumMFRw/n9WP61mk8j\n024iEAg+TYTciUDwoaifXb45dAqO9WGrlh9dW8BKjTuv4JRq82K6w6ea3PCwwcYANPOQSy4f\nRXwIrDV644RE3A5H8UzNE5ql1OiCyDiMXYcf/OXdWnPao99yvUHvurgZii7zsKAnFBIAXFmL\nsm3QtxraPIOdxVv0FXEFr+rj8Xq4agEg6DRK18SeiVjdHa280bEnHr/GmI3wbYUB5cw6cayA\nUw+wYh5WbMCJcwiNACTYZ0P5SmjTFR3qyYPMJDyKoVuxTPQvEAg+GkRgJxB8KN7odRHGO8cl\nmBDLSIgyLklun1wrxEED20rvq7X2CRG0FLdDkbM3xvjrC/suw8ytuB0KAIlRWHEblvkwv4c+\nYCr6FSZOx4BjWHQL/c1kbzPH9qVyVAfArQz2fI9CwzFsAVr98hZOFJZoPxjtBwNAYiyoNi1r\nlyH4+8OqEJb/An//1MzWr8+sAQgEgixCnIoVCD441csgeAdex8mPLzYgIg757eTHNwKwJ/cb\ntLqsS9ga8whPXqNVsoOrBdoi/CRe6ALBiAsoVw5hMZkz+o+Ay8sBoE8v4/JhOjmVl+sRk4C8\nP0Bt+F9cqx4AsOiGccPUUdmjhKFWX8FhsFIj8M+385MchUUmRnUAbt/G3QAACAhI7RIIBJ8d\nYsZOIMg0JOBKAEJywdFw4S//RLj/iS8GYmpfxD1Ez64o0gfZbUA1tCqMWYKxX+HGDnQ1nIFr\n+CWWToZDJEZ3gmVFVPUAdKGhWzuUHoQyrfHX93CNQf8WiGgKew0yD7USZbbgeAOzBr7uuKpE\nzJNM6T0gEgBKOBqXV9AJtkXfAwBPD2MD6+IA8Orh23WnzWtindRGjecvTEy+psmVkzh5DkEv\nkaCCa3aUr4wS3m/pIh1cuiTfnHo/0WNHS+y4jzJaqBwQEI4c5jWWH96HXXY4vM0at0AgyATE\njJ1AkGl0rImZfqi7ybhcYYkLu2F3DtVLoF4HFO6Ek9MBQNJgzXjs+gnZXFHrG8xapG/iWA/D\nfdCxPmq3Aari/DbjuahDR1HxNZpVRfUWcG2D4zMz99U+GFeHoWpVBBlmKchjBwCXQ42Ng3RJ\nODS5ACAg0Ngg6hoAWGU3Lk/O63jjkui7SJlAJDIeWu+3i+q2z0bxbPCpgK698d1ojB6Bnl+j\nZF4Uq4Md5iXuMokXq9F3XHqNJQsMHAgbdWo21Uvi9+vvPy6BQPCeSPx01d4Fgs+VmFeIt4L1\nRzyhnuaMXVwsCFi89/zNyUaosBUPXyGnrb7wxRq4tkTu/rhnGL/W8sT+x1h0Ex1ywNIOqnwI\nu2qQe3R+NfQ+jF8vYYgPAFTMjhOBCI6CY7L0ptls8CwCLyLONaPhAAAgAElEQVThbAkAjpYI\njcaFFyiebDX27kzkHYiiM3G5PwA8ngrPoRh4EtPNH56Y1QYDV8nZNaxdkcsDijg8uoOwWACQ\nFJj7H3qXfrcPKQ3+241jF4zzXpyYjy3BiAtLo23SjF15U7krjMjjgF6HMNwwd1l4BGytzTQQ\nCASZQ1YfyxUIBJ8gKgUrbPsQHZ34ggAfvjIuT5IymbBZX7JwkCwIlyR30iE/AfZcwDfacNfW\n01JFlQPDdPomzb0JcNY5vZO5bWX9keRyJwCzN+bLaLnkxTlZlO5IoFySpEfzzXGzbxGwVFaS\nq9iWB67oh8QEHlnPytkJUKGRtaYzll1DjUXski6VHbsvNmF/ezP9KtJOS89i/O0QHbQ88VQW\n1gkIl23+ncYS+WmpYc78/P4vJiaT4/b6niQVEh9eY8PyzP0DSUbdY9fGzO1OWxfW+5rXQ836\nMVcoEAjSjQjsBAKBKS5vpX9NOttRY81C5fnzUiYk+x2bFNjtm8/y+alV08WTbYcYqKOVdKOF\nh/7x+Wl2asJsTtTYsnAZTlioF/hN4twGflGJDta0dmTVJtxyhSS9HfSBiFH6h4B/ZR27PD5s\n7k+fXATYe6g+sIu6y3z2BJi7GFu2Z7XSVCooqfjH5WTvOJGSREnJZu05oCer5ifA0k7GgZ1N\nKaoU1LixdhPWKEsLJQF2/F3vJ2gFATpW5Lff8l6YiQ+zvhcBFhtg/NZJxIezuDMBNtpq9sfx\nznjZMUc7PnvNu9uokBj0mrERXDOWNkUYEm1sHHWXNhas1IW7j3HjYmazpkIyDuyCt1MhcdIy\nXrzIfyZTqeCBx0xIYG57/nxO/pIoJFYuwaW7+SiUTGRJF1boyD3HePIge1el1ouhMab9mCwU\nCARvgwjsBAJBCq7+QQslVQ5s3ZWDe7FsNgL0G6M3UCmYoymVCtbx5+A+rFGYAO199WK/yQO7\nl/tpr6HKjm27csQg1itOgOW66qOcczOpVtAqHzv344Be9LSmpOTae9y+iT+XIsD5S7lxv/Eg\nHx5h2wZ0daDakgUqcO4uhuwzyDwR/ZAjujBfDlqo6OjGBm24766xkw1TWa4Y7TQEKCnZeyZX\nVjcO7PL9xvMb6V+dTrbU2LBEDc4zmq1MYBc/2lpQY8OzQcZdkHTUEuDNELMf+K0fCNDRz6zB\nO6NVcY5OGdvNSh8ntcvH+v8YG/9ThxovRsXpRjVZzqWRPLC7M4iAfv5y8wZeDSXJ3PaceEEu\nVEgcfUq+fzSRCi0jdD6ZSFcr/nLBtB9zzgUCQboRgZ1AIEiBpy0t3HkxWH5MjGHnQgT0YYFK\nQYCzD+mbzPySAP03yI/JA7vy7rRw541kv6GXdCLAaUmTZwl0taJNCT7R5WyIfkAHLR3rkuaX\nYjOcwHuZmPsh6eOKjDNrEHWXAFUOGd+1WsGlt+T7Is4c+p98f745rQoaGzfLwzyTDUoslMaB\nXdxzlnSl1oNfdeK0P3lb92M1CuyuvJDv99Q1sRDcdK9pP+acCwSCdCNOxQoEH5x+Y3D0WlYP\nwjwhOxEQjmZLUEynJyJZYPY/kCSMSKbA4lATfavqH/uvgbMldg439hZ9D6eC0HgpCtjrCzv8\nBWs1Zq4BgMB5eB6JwX/Dw0qu1Xjhr1kYVRcf8mRXttxw0qZt9m4kHeAwOr6QnJhHAKDOhEwh\nLlaYuVr+JP08sHqtXH4nBLHPjI1VkvE5X1WK3xEqF5x9gu3z4eOCzbNRIBsWmvoyW+qO/thp\nYVUQ8fEG17papv2k07lAIDCPCOwEgg/Og32o4QOvkvj2F5y5l9WjSUHwVgDoVMig0LoE7Czw\n8IC+JIeRPrCEgg6IvIFow/AlZDsSiX/rQpKSXQpExCHiEgDc3wYAbXIZtPLvjiFD3loi7qPF\n1QoAlpnXNFn1IwC4NM/4ric1wOlRKF4V8UT/Vng4GaNmYtFsdD2G3H2MjVvnw5M5+p/gs9WI\njDO2OTQDoxagRhOMmYJ959A5F35ckNoAvLsg8gaeRkGphFIJRKJaZVx+adrP2zoXCAQp+Ij1\nFASCz5VNhxHxBBvWYc0aVByNXKXRqjVat4ZPqvpq74mlGouuo1XedJiamSiTJDDe4NGIpNkd\nIy1fSQUAX09DEy9je7UrAMQmAsjcNAxZzogy6LMPQ/xQ/CSq5TSuPfoH+h8EgBGd3s6try9O\nnzX46F6fQe3vcXKbvqTDarwajqW7QcJ7NLpswc8DAcC9HLYPM3b4xXyoC6FeH/zUDTH30acX\ntCl+R7g+w8QpyOGKGj54fgU7HqNiDQCQgJv38SwX3O0N7J2bonp2VGqJ2d/CS4vJXXDNBQUd\ncNeUH9fjpp0LBIL0k9VrwQLB/zcRARzYVBakKFqV4+YxPDZTOmrelIcC0zYjGbyNAFvtMiiM\nuEKFxNJL5UeVwsROf1cr/dnVN3vsoh9SIfGLLQaWiTFctYp7AknywU8EOP2ygcHSb9m6NcNj\nP9weu0wlLkRWSJFUbNqVvy/jjj3cuY1/TKd/FVmlJWdjxqVP2yPiCkeP5ujRBDhytHyfdH1T\nlxbuaTS/eZFnr5nt69ZGVvOhRkX3glxygbntTcidTOxFLxcq1fTMyx7jGJNAkhNb0VLFwuNJ\nUiHxbrLtcTGP2KUhHaxo58a6nXnvVap+TBUKBIJ0IwSKBYKsID4Mu7Zi0yZs2oIQKzRoDP9m\niLiIBbPwvALub0zXLokEvu9EV1wC1EoT5Z62eG6L81dR2AEAGIceJbDwGnYHoE4OAFArEZ+I\n34+jRwW5yfx26L0C/Q5jVhXAMKVYWXdciMfZ2/DRbdqb0wT9NmP5bbTNi8QoODmCZXB3L5w1\nABAXBI/ciM6HVxdxqhEqbMWDV/CyxSdNyAnUaYKzz03XFm+O/cvTu8nv1RF8+SMA7NmD2nUM\nFqwlJeqNxpAq8mP8S9Tyx5Q16VIYFggEnwdZHVkKBP9/+NekVkUnb3YaxI0HGZtsTiImgACD\nUwiMvSF0HwHunsNc9pQkuubhgGl63ZDoh+zVjNkcqVTTIy/7TtFXWan5z2353kHLnSdYvzgl\nibaubNiDLwwPhF6eR7WSahd+3YvD+7FCdgKs84PeQKWgiw0BNmzF4QPpV5wAc9ZndLxskPxU\n7LNttFZT5cBm7fn9d2xclpJE3276se0bQ6WCtoXYcxCHDWBeOwL8+wZJXmhJgL1+5B+r3vZj\n/uhIiOTSqWxQlY42lCRKCjpkZ72vuGi7gUZg+ilTxrQwXnLcrNjz8Ls4FwgEnyYisBMIPjgD\nx/LAedOS+glRPHAgNbX9pMBOpWDHkdywjmM6USGx+UK5tn5OWhXkgpXctY2TBlCp4JRLcpVR\nYJffll+N4r5jXPkrtSr6TjPu6OImNqlGRxuqLVmwLH9eYixQ/MspThvMwp60UNEtD7v/aLCI\nbCRQ/Ogw29Snqz01dixamiPmGISzJA8vo19Z2lpSa8Ny9bhalw0i+h6rFKBKSa9G5j+UT5CE\nmLRjsjRJjOP8KXz8miQnfM08+dlyuD62TuLsQtp7cte19+1LIBB8IoilWIHgw5IYgVHjMWY8\ntKbWQNMkbD8caqHURJzRCYvMrI5BR/AyEo4aNG0I/1nolE+uyuuIbCtwtAEAWFvgr2vy4QlH\nS1g0wtM18iperyL4xwWhh97zzQxIvhT7GRAXDLVTGiUfngG+mPcYV2/CYS/cW2HkeKyaiIor\nsThZDt/u3fHsP2y+iJwFkcvdWL5k//4PPGSBQJDZCLkTgeDDorDGwpm4k1by9dSZ9bX+vuff\nAHH+BQBs3IZO+RAdiqvn8M9veBaBRDMevhio35tV2A40Z/euJH4cfzHGPcfwzvB2h1oNFy+0\nGYTgGAOD4/+gfgXYW8PaAeX8sOyoviq/E/JOR8h/qF4YWhfQVMncSpAkPI1I5jEBDlrkGmR6\nPLeOYuxQ1K8F3+Io5otaX+C7n3Ep6B3f7u+r2HEO+Rywdiq8f8C4EdjUDf8annW9fh0hdqhS\nBblcgURjPTmBQPDZIeROBIIPzo7f0LIVRg9EMW+ok/1xVbBgej1kt9Lfa72hVuBWOGoCW2Zi\n5HRcfgj3XChcDBbmJwULZuZZhLAHCIyAKoWux4engS/2PUXrnuieA/dP489ZOBqIh//Itacm\no+p30OZHp36wicD6pehQBfePYXRF2SA+GL71UbU9ZvSV42Cjknbj0M8P069hUhm5ye1xCIvB\n3BQScXFB6N0Kfx2EwSLJeezfhkmj0X4sFo6GxVv+pR0ZL59umX8bXZoBgH1exAQY2Bw+/HY+\nBQLBp05WrwULBP9/pMywlHSlh6Q9dkee6EtiAihJ3P6QoQepVLDfLD7VyVIUcGIFXVZToz12\nb7I/kZxRXi9T8v4kCZQA7Lkpw3y+G5E3KElstlFf0r8CXVx0qcMS6WpFax8+1aWFjX1GHycq\nbeTNgvkcKUmcf17fPGUJyRy2dPHXP/rnodImWWrUpK7iWN1D/lgc8rJDL/44gePGsnMLumjl\n8sqDU9tbaRJPW47dzms7qFLw0SuSnFSZLl+SZPeufPKaJDt1ysRUaUbEf+KqNALBZ4EI7ASC\nD050tOkrPSQFdmWm6Evm1aEk8Xkkb3QiwBCdn8QYulplQWAXtJN/LuXxOxnm8J1JktDL21Ev\nwJac52sJcNgpg8KLfQlw+0OSzOdIpY2B3lvKEpJzKhLgswiSjH9FSxXLzjfua+WXcvQ2bIFx\n8/hXHNVYrl1x27hh6hyZIGehLdmfJAdUpKTgwhskqVFy2l6GhhLg5QCGhpq+kshpx2pr5ft1\ndQjwrxvyY8NcdGtNktEP2b0xnW2ptWHZetyW7OerVfHGPXZoQGsXktw7n+V9aKuhuxdbD2WU\nLsaNe8khbejhSI0dS9Xl2ksUCASZgAjsBIJPiqTAzkbNbmO5dTPH96BSwS/mkGTwDiok9pjM\nU2e5aQWredFSxdwj+DCC/ICB3UfFL+2oVFBSsnhF9hjEf3bpz6Le7EaAF58b2L86SYBD/yPJ\nfI50qGFQm7KEZMgeShLHniXJ/7oT4LEUQtC57Amw2Z9mx9nCmwBzjXjb9+Pj69x3VA4WNy3m\nfl281SSP2YnhlJPEk8vSpqR8X9mDlkoWXyA/OmrZ/wRJlnalSxku3cA9m9ipAhUaXg2WbbQq\nNszPuWt58y7D/6Nawb5TePg4NyykjQX9ddrUdXLQqy5XbeahPRzXk0oF199/6/cVCARpIfbY\nCQQfnIoVjUskJSxtkKsgmnVEk1JpezhxAEP648sJyFEYvSdhem8AcKyHZeMxdjYWj0exkhi2\nHoqFaP8rOtXE3roZ/xbvQ2gILO2heb/DW89XwK0dYhMM9ikaMWIZOn6Hjdtw+Ah2/o0/psOz\nKi7thoNGzpxmJPAsqQEgXrcNTmFt7DBliUNtZLfBvOkYswQDt8AyH8qlUAN+FgEAs1uYHeeM\nAVgzAM/+AX4xa2MSawlndmHxPCRaoFgF9PCUy9dfwprVeBGJvn0x7lc4pip9/HUvDOuKoEi4\nWeHiS/xeFz1+BrshbA9CojG4MAJ+xZnnuHoDhR0BoHZjHHJAp804qTvEo5mIb5oDwMNliEvE\n4B7IYwdUwAYnhOcAgKcLsecxAm8imxUAVK2NO/vRZxKa/fZ27ysQCNIkqyNLgeD/j5kdqbRi\n+76cOI2TJ7BNHWqzcfKvHNyNthb89UJqbZNm7D71FFtedlx0832dBC0nYKyHl5zw6zxxglHJ\ndN02DifAEadJ8vkqAvzutEGTK4MJcOM9ksznSKcvDGpTliSRtBr7+DpVCrbYblwb80SeHnsV\nY3aor88ToIWbWQOT3FtNGzUd8rFBMzbyo5OWNgV533DduVkzPo800z4Z9houvM4XG6i0YugV\nShIfh3NrA1oVYiK5tiZVDgb2I0vSqb58r1Vxwz35Pi6YFXJQ7cwmbTlhBo9dl8uPNjAxX2hV\n5O3eVyAQpAMhdyIQfHCmr8e/l7F0NoYPwrcjsWI31jbCxkRMXYDzszBhSFaPL4sIjs1gh8/m\noUIFTLugLynjCwCv4wHA5Ss4W2J2N7yIlmvjX6LdEiitUTP723XUbhwkCb2aIj4RkysZ10oS\nJAkAXkanbCoTvBsAnBq/Xb+NeqPqWATdwLb12LwLTx+hRhQazTGwWb8eLpYm2r5Yjb7j9I91\ncmD6Hhz7Ddn7wL4Isllj/UNMuoAKEyABiYRk+MtCJYHJ1FKy6bpQOeL4IxxegUp5cWojqheB\n/68AYGMNSYmXIQgN1V+BJ97ufQUCQXrI6shSIPj/Q6XQH3FIIuywPCMSH2Y8NWLEJzdjt+IX\nFvWmRss8Ppy2kySz28gTNoVWkiTAxydZoxh9NzP6HgEG605xBvyq3wcWdJiNq9PZkq55OHg2\nExINZuxOzKWFlqtuGHQdH0pXSyq07NiXk6ZweC86amjhLh90IHl0PJUK2hXlwNEcPYiFHAhw\n/BG5Nv0zdiRz2BKgUwPTtYWdCLDGRDOfUQLreBLgzCtmDMygVhp/EwKmUu1qbHZyF6dP4cSJ\nBlez3FTZ6W0u9KKFByt7cNBJkuxVmIVm0taCRwJJ8uHPBHgjRG+f34GldflOtCqeeCrfH57C\nvsP0Zsc7EGBUPEP3UZJ4NtmOxnZ+/HrH272vQCBIByKwEwg+OAUcOeBv/enIhEgOLkPvASS5\nuhc9OqfWNuE1L19Obf3xo+LFv1RIXLCFt25w8TACsgZH8qVYgCXKcd0hPok0G9jFh9Hdik1G\n8cxV7l5CGwuOOasP7C4tptaCf5lawn56lC1r08WOChWdc7J5d14KNjA4vIx1klKZ2bJMbS45\noq96q8BuTgUC8hGKlDxcRxs1AbYcyUevDaoen2fbkgRYsc9bZ4zVqnjN8HVufkdLb4OSXUOp\nkEwsg6rs2H2x3iz2OdUKKiReDybJa/2o0FBppUtQlsgSznSvyFVbeWgHu1WhQsMryQ5PvAns\n7k4iwBFzePg/7tvIWtnp0kCWcWnuTbuSXLiKJw5x1FdUaHnuxdu9r0AgSAcisBMIPjiPtzOP\nLe28WLkmK5ejs5bZK/FBODfXpSYHDz9N28Onwq3eVFjylS6H7KaNDIshUwR2v12V780Fdic7\nUJOTMbrdckt7s91iObC7upqWak479kHexzxDi1FS6EduxMSJHNiIkkSAkpolK7PZV2zWmL4F\n5KhLkvhlS7ZubXyFmd+WR7J+TuZrxasv5cfr+1jQgfWWGth42TFHOz57zbvbqJAY9JqxEVwz\nljZFjKeNfVyotGRMAknGPqVSwXwT9LVRd9nlCzrZ0MKKZepy2119VfLAjuTcocyfnSol3b3Y\ntAcf6+ZH40M5uBXd7Km1p68fN773JkuBQGAKEdgJPm5eHSPwFunSd/jRe5pBq3m96KDlL7rp\nHKPHrCLhNTev5M8/8aefuWqHPHv38jrD49Jq+UkR+4w+zrT2ZIsunLWET3S7+I0Cu7s6QTVz\ngd2w4vQabew8KbCz1tDGgu3XZO6LpE5sEG0tmMe8WEl6lEdMXkERZn2SfH2Jvq6UJLp7MZsT\nJYklvuTrWAMbrYpzdHGzmxUPPJbv2+Vj/X/e56UFAsHHiZA7EXzcaPJgxgwokolSJCZAYT5T\nVspW45Zh7XXUziVXGT2mQlxiajoa6RyJORTWaNQajQwLndKdUuxTQe2Gi4HYsxF7D2DpGAwZ\ngmNXUMbV2Mxc6rOEKPkmNhEKjWmbiQdReiMqt8HYushrl0HjfhsGf4sraxAei/V9zdr0NV+V\nOpbq1GqtfXA2EAe24eItUINiFVGzlLGAS0Ii7HVOXCyx5TGqZweAb4uj0hig1TsO7OMk6jqs\nCuNVDGwtzNrExkJtYfwpCQSfE1kdWQoEqfL6rDz3FhtIgOtHUquixo51OjNSN7l1agnLFKK1\nC2u14l+V6D1N38onJxUS7ew58SJJg8cn+9mgCh0tmT0/v18ibwOKvkeFJS/+wUJuPPHUtI25\nkVz/l9VL09qWpapxlW6OxKSHa2tZvQxz5za+Pj/2zeSPK/WPRZ3pt4tMMWP3JjNE0oxdkG5i\nb3UtecZunz8t8+l3Fq79ksW7GRyeqOrBfL0y+21M42xNR0+O+Tdrek8TDxuWmSB/8Qb40Et3\nsuHfFAomnwFxzzl+vH7J3iTZbAwWjgWCzw4R2Ak+bowCuwKteec5H5+luzVHnibJsMO0UHL4\n37x/h7/3pUphENiRzGbDq8n2aCc9xr+iqyUHzuWDQJ5cT1cr/vgfSUbfo6Ri0eY8eo5RoaZt\nTI4kJoA2Fvx+OR8HcPFQKjQMjjbbS05b1u/PdZu4ZYvBlYFYKPWLbsf28VhQRjpPP+f6UaHh\nwq28c5d7VtDGQl4WzGXHb/cxOIY0DOwSo6lVsfd8PnvBQ8toayEHdrGBdNCwxVhevMXDq2mv\n4ZhTBoHdix1UKbjiI8hj9gHYsSONKzlLWhCgTxXGJfLOOAIcOYN/z6KDhvlGZfzYtCr9F8+I\nXoWZe4LpqvSQmEG7FERgJ/jcEYGd4OPGKLC7oAvRhhRjjR0kOa0c3Tvo7cu6pyuwu9CNdpX0\nOdf3NZZPOybNGJ0JImnWxuRI9jSjcyN9L+2/5M0QMx7iqZDS2BT//rRuqT+0WNKNJTdnbnep\nMKYTPRyo1DJPYX73h/xp/NCUFkqWWUMaBnYkN09k3uyUJKrs+PcKvdzJg52sW5EOWnrm44j5\nTEghUDyqLK19DOSIP1dUqjQuI+YMY3lf+YPqUl7evedejrfCMn5s7xPYnVnGikWpVdPZg416\nyJsFE6MJ8MAsOmiotGSJ+rwdRpL7BtMyr2zz+jwtVTzyVP73myQEHXqWX9amuy1dPNl9rDyN\nl9uZkkQLLTscZpeCLJMsyVspN7bf+/4fgECQ5YjATvBxYxTYvYmHxpaSA7tqOdhsn95+VoV0\nBXYLKlNpRRcX+XKylEX/k34xhEaTNGtjciR9i7DMBuPBm/SQGEdLFe9k4O/UBKZ+tiRrA7t3\nIzqMrz+vcyQfDzcv8uw1vdpOxvI+gZ2dhgPm8e5DntvPXLbsfITUBXau1XjiGh9dY9VszPeT\nbF87B5svIsnmedh0AUl9YJcYy9x2bDeWl+/w9F5WdGfl8XKrNzN2d8bQwl3+HKIfUqXg3UyI\ndAWCD47IPCH4pFCm2POskpD8W2yX6mbzN9ir4TkUz5/L18tIxDzT1ybt5U/dxmgksYlQpziK\nZNKDpMJvfVDpCyzbhPOXcOWK/jLH2X9QvRQcreDqicY9EBIDAC/XQZKweQqy20GpgmdRjF+p\nb2KpxsEnAJDTDueDcL4xJAkJBIAZA5E3GzQ28KmOJWfS9XF9eDR2sM7oo12FXeQkEMmvmIQM\n7uXjJ38x+BaCKh3HB+Ke45vmcLGDjSPqd8TdcLk8PgQDW8LdEVpblKuHHfdNN399CW0awMMO\nLjnRb7r89TNHQjh+noqJ3ZEnJ0rWQH1PnAvR1y5aivKF4FkIc6vjxUG5cP0abO2OZcOwQ4sV\nnQy83RmFp05Y/AOKeqN0LWyej6OjEW6Y2iTPSKiCcS0YAI4OhnVl5MmKwzcCQUYjAjvBJ04z\nTxxbqn9cfi9drcrXxLPFiEuUH//thfbr38XmDQ28cGeZ/rGaL7Y9Muuh80w8O4IOTeFbHD4+\n+sskMQ9QpQPsamDlFswfg6NLUXumvrb5CLQchS1r0S4/fmiHn04aNz93Bz4u8FmKp0+hlDC+\nNr79G91/wpaVqGODTmWx7r7ZlxL8n9O4FJbfwbTFWLMQIdtRshbiEwHgq1KYfww/zsXGxcj9\nGF8Uwc1Q47aMhW9VbHmIcQvw+zgcGI9Vd1LrS2mLbv5YvQDDB8LfD3/dMKj1dZZvtNb6QtuK\nmOGHDlOweCusDP8MOH8KMY/hYAdbW9jaInd7AMaBnWSB6h4YcwYAhh1Cm1/S96EIBB89WT1l\nKBCkitFS7BuNrjdLsWGHqFby++UMeMSlI2hrk66l2MQ4etqw8U+8/ZSn1tPWgqvukrqlnKRT\nruZsTI4k8jotVRy/hkFBXPU91Y4MjjbrIT7e+IqL4rDxNMnD8QT4VKdntukXDh5Hki/+JUC/\nv/WWnQtQm1t+6+QrYm+WYmMe00LJKef1TRrnonPTt/yRfLIUcjYhFBf9f7An7914tpQAz+mS\ngIUdoSTxVghDdlGSuPmBzi6BHtas8Lf89OaLd6k/AV7WiSdHXKVamdpSbMRVuluxZlvO/IO7\njnBgUflLm7QU+0bP72YXOtTWtxpVjpLE74/Kj2+WYnfVpVs70x0lPzxxtgdtyzI6gCqFwUZP\ngeBTRszYCT5x7Kpi63RsHw/v/JhzC/s7pauVpMLZrYjbgdK54T8Mw5egZZ53sXmDZUEc/hNb\nx8ErN8bswqr/4Kgx6yH2AUYOQPv2+qtZFcz8zbRnp8ZQK9C0K1ZtR1AkGo/A1NH62unJ0sZP\nGITo+3gWaXaQj6chNgH+rnj5Ur6G+iJ40//jcqQgTQ7+CbUrSrrIj3aVERqKPPa4NgcA6nnq\n7BToWQBX5hk3X3YADrVQ1El+tCqM/A6pdXdyCKJ9sXc5+neHX2WExqU9woB/8OttHJ2KiQ0R\nFGVQ5dMMLzciQufk4VxU90fKpeBivyDmLNb2hF195LBJu0eB4FNACBQLPm6sfUECgDKbfJPE\nmDMYo7v36we/fvqqpAWfN8aB4UjOm0fXath+1Lg7TW6DXkzaqM2MpPTXOPa1sbFJD/WqIqQs\nvsiJqb9hyAjEPse6i1hjZo+ddXEcXIofZ6JdIyQSJWrhlz9Q31uudUgm22tbHgCizP9GfHEd\nAPLlMC6PSYDmXZWWBZ8rV1/BpoRBiZ0dADwMg4WHgXZ3SUdEnTNu/iASNqUNSnwc8J/57ly8\nEbkaZ+7BW4OtC7HqLjzvmwjF3sBY1OqNkTtQsTzazEOD8TgzQV/r0RsFRqHRt5jSB5oANB+F\nin/LosQScCUIxV1gqYTKCSVd0GU7BqbYwyAQfLKIGZOXbWYAACAASURBVDuB4INzOgi7lmPi\nbOR3RI9hmPYHln+Jv8yfY6jYFjtOIuI5dq6G13009tXvFgqL0ZtFXAAAjfm/1mydACAqHqTB\nZWdepl/wf4uXFSKvGZScPI5nUchph9hA/c5RAJfDoE2RyiWfDSLOG5Tcj0itu2Jz0L8a6hdD\n0ao4qMbhH/B4MIafNms/pylCK2NUOQCYvwU3pmD9fcPR7of9adTwQZ1O8BuOP5vK5a0qoZcv\n+p6QHydUQmwihhRJbWwCwadFVq8FCwT/f6gUDI4myW+KcMlNkoy4TI2XaeMtbVmgMON0am0v\n1hPg/TB5j129JXrLXoVp4SHLlZncYxd+mgqJWx7om4z8glX6Z+SrfcyIPXZvRcBUAryqU0N8\nfZEKiSee8uVWShK3P9TZJdLTlmUXyE9vvnhXBhHgNV3zmMe0Ur+XQHEmsaoe3Vpn9SAEgoxE\nzNgJBB+cnLb4cRki4vFVQUxaAgKP9kBpZotPuUa4dR0df8COA9ixDm37w6owsunOBh7ojGFT\nsWcbRrfE79cxZJWJ/LYqCS8P4soF2JRGx8L4siqmL8Shffi5FyZuQ9d3TWMq+LzJMRjl3VDZ\nDyu3YO8WNKwLmzLwdYVTQzTMCf9q+GsN9m1G25J4Eo+lXxk3LzwR+exRvgYWr8OWf1C9FLyt\nTXWTdTAWrwMx6CgGf5fVQxEIMhKxx04geHvCj8OuEhL5jqnEN01F7X6oWAP+s/EsP7zX4Mlt\n9Nph2ti1DZbdxIS/sGYi7LOhVA2cngONEq8BAKd3ou8AzLoF7xL4YTHGVDXhYczXaD8bZRci\nPBgLTyN7b0wdjuexyF8MCw+gU/53eodPkGE/ITjKuFAl/rg1z8H/0PsbfNMKsEO5L3B+OiwU\nALDhLAb1xIhuCItHscrYuhEFUxyMkCxw9iA690fftlA4oON41FqJQR/+Hczz8CfkngDv+ugv\n1mEFnxUSmcr2VIFAYIq4p/jjX/TpAwDeHv9j77zjav7eAP587uh220NbpEQpJES2Bhkpe/NF\nS1FUZJWMrDYhu+yZvUdkkyQyo5SG9rzduuP8/ri3W+o2Nfg579fnj8/n+TznOc/nE/c+95zz\nPAciP0HHRpY2RWwoJwGNBIVfIOI+KPcEC6PGWciJgHYTIaMElMQa1xCDwQAAcOFbMmho4KXm\nmP8zcGCHwTQMLgdIwlJH5cUgOh06Sbe2Pziww2AwGEwN8E8VzD9JbyWwfVRxwQVZOtxIgZvB\n0EsLaCKg0hEW+QIv7a8sCchicHoZiNGALgujbKCUDUVPgSAAAehpQD4T+mjBhSSYrwMjK7am\n4DJAXAQ+5AnrG4P5e3gaCU+z2toJDAbTCHBgh/knCTSHMxUrpr/7AlMZhkuAlRu4HYKMTLh1\nCMLXQHw2XwGVwW4EX7MhMQrenISAKgXn4pNARhSiv4K1BqydB1Fu/A0x4zyAYgQ6si3lPysD\n2k2EtwmgQG+pLjAYAHCcBo64xhsG8zeBAzvMP8mAIGA+he9FAACr9oN1KFBF4dUbmDUEZKVA\nWgloZMitqBWHuHB8HajJgHJ3GN0e3hUIt9lxGdDS4H0uAMDS82Dj38TUioajogqklu4Dg2kM\nrIas7eHWVXm4Dtj5TWyIwfxL4MAO809CaQfDVGF9LHBL4eJ38BsIBBXOh0CPbmBgBE7r+Zud\nC5Cu2OChZjGRSkgwtROseALl6fA4A1b2aDn3MZjWQF0KYjMh1pK/8AAQBLqAljLQJEB/GByt\nstuEtCg8uQm6iiBCAgUtCIyC9Ptg3AVooqDdF67/AADIiQCCgMvbQEUSyBRQ6wY+J6t0Vrtx\nSRp8SAPHSSCrCEx26zw6BvP3ggM7zL+K/xQ4uwLiV4HUbFCTgJc24PcW7sZAbDRcPlUZyfFo\n4LjYGluIdIPIxaDkCO1aa5I0/T6M7AviIiCnDnYbK7cEOLQOdDSAJg7afeHoh7qEGIxQ3iaB\nfjvQPwbZ2UAAbDCF5WFgux6unABTOszpDVeSK5XNreE/f3jxEIYjcDMBvbmw0B/uXgRSAkyp\nsqPxhJUwzROunIWZ2uA5AzZV7C1Rt/F1plCmD+du4L3vMJj6aesKyRhMG8FlIgkRpCeLwj8j\nhNDzaUh6IMooRiU56JAXopDQyQSEEGImIgDEYPFbOeiiaQ9Q4RMEgLgIIYTk6Cgmk3+OuEhG\nFLUTRUe+tKzz5ekIAGUzELsQKdDRSDcU8xHdPYNUxZFVGEII/TyCCBI6dhclfkEhMxBZEhWV\nCxc2F+xCdD4M2U1DfXsgeUkkQkUkEqJLICVV1H8Ymr8EnbmNyjj120EIvXuE/LzQ+FFIXxvJ\nySAaFVFEkJQ80umBxs9E2/agD1nN5naT+fYGHQhCDnPR4H5IUx1JSiAKGVFpSEoGaXZFg0cg\nh6Uo7BxKLvy7uxZsW1L2A4mQUWBc5a2R6khhKv9ciobMj/LPcy4hAOT7hn8ZPRkBoFI2f6+U\nEeGVFmZ2RvTOiMOtx7iECOpg1wzPgsH8G+DADvMPM68rosigUhZCCHFK0X+mSFoUddBBXuFo\npSmiiqH04voDu9n9EIWKIhL5Ck7dEFmyUr+FEAR2cXaIKl/ZXawHIomiUjb6NB9R5VAx79EY\n6MqVWoX1ct+i+jZcirN+UeAw0FYXpEAXsmFXtUNKC60/jNjcWvt6fBgN6lK/HYJAw2eiJ6m1\n2hGKRYdm2FKsPAvt9EKGGvU7yXeVjAZbo1MPUO0P/Ud3LQjsvroiAPT9J8rP5x+RYxBB5m9h\nJ0VDez/ymzA+IAD0NZ9/+c2N/z+IF9i9y640nhqEAFB6cT3GJUTQ8pe/8QwYzL8FDuwwmGbF\nqxfqt69+td9EENgF90MqtpXyslQEgH4UobJ0pCuLJDui6XZoz2mUX4YQEi6sl7oDu6QbSF+u\noaEG79C3Qlml1Xth5SI3a0QiGmGHoKIVR6vbqYPfDey4aL8XkqU17mEFh4EVis2uv5M/rWtB\nYPdijHDjvEFfKRoK+8xvwgvskgr4l9UCux9FlcYLHiMA9C2/HuMSIuhYCw+BYzD/R+A1dhhM\nM8HKgI9PISAeQsa1XqcIflkASFD469xFlCE+HU5tAVWA7YtAVRfSSoQLf4fHu0F3LLzLbVyr\ndxdBxwRymJWS1NvQrRP4XwAuaoQdxIIts8DuYON6bxplKTBWB2zWQ15ZEy3EXoQ+mnD4zd/U\ndVUk5QAAytiA0C+HBLVxdgqqPEXJGwAAGqV+42Sc/Y3BNBQc2GEwzURaKPSxhgkboI9i63U6\nvDtkR0BpRargp+1AiEA7UbgVBD43YdQ08NsD79JB6ieEJQgXNpm4Q2CyuLLrRpHzFIzm8fM8\nvl2EbpbwpZYiMvWybwEc/tLEtg2E+RUMesDVz79rh10I//WG0415523YdTXaOwOJgDtplZJV\nY2Hoskbbcb9Zeb4mGGjtQVGs2YxjMBgc2GEwzUZHbyj+CeHLW7VTPX+QLoHJnvDuGzy6CKOC\nwTIURCkg8x68Z8HJSEhJhusHIa8MBikKFzaNvIdgbA/lHCG3RMRBUR7I9X22fDsJy+5AzkMw\nnAqFwsaiCALaKYEETcitaiy0hDJhnjQLqBwGG8PH/GayxoGZRpDB+NO7FkAhIOcBvH8LEn1g\ntg5MHAyBByDqHvjYwdZrsMC+0W7cmwvL/eH2VVg1CQ59Bo/TQCGazTgGgwGgtLUDGAzmNyBL\nQexl+G85GPkBTQkmecCuOQAARqHgXgIu1pDLAo2usPksDFEBECpsPJwiGGgFDNYvQrNpMH0q\njB4Kyrz9NrjwOQZuXYZtAZBSLNzODis4Tf5lbg4ApLqA7VyYOhm6a4IoGQCgKAMib8PB7XDp\nFQjd25rxCcK+gL1OU56lXrZZQHTte2r1GA7mg6Bnd1CSB2kJYBZDfg68i4VHt+FWtPCZZXYe\njPKF12v/6K4FeM6COSHQZz+U5MHBV6DmAP7LIasctLvD/vswp3MjTPGIvgFOLrD9C2j2hHVH\nwdOYL28W4xgMBgAnT2AwmDqpmTxR7VAyRpff1tqcU4wcBjV0mb/DFn7SrlDuhSA6RXhDdbf6\nH6QJyROMD4hGFt7jCBsUW2dabtprNNWo1iettxZJG3bdQvCSJzJK2qZ3DOafAU/FYjDNjJw9\nmbAlup96IZAgbgFhSxC2RP+7/H1m87MW8SQ7C34vfaHN0Z0En+7DWP1aFUjisPshzO5Sjx0S\nFXY/gd0eIF77NMJwJ4jeJXySN3VnZWXmZuSQnfBJXs+zcHMf9FStq62KAZx8Dp4jhN9d9erP\n7RqDwfzN4MAOg8E0Fbkh8OoESIvUr3ngIYjXmT4Z8AwcjOtS4NHNFpZ1FyLnMiGntP7mjWWr\nsEzSUYGwfmJDLay/DnpyQuQ3tv+5XWMwmL8ZHNhhMJgmQVDh4QWgN2ydLlURFner9e6wTeBi\n2NB+14QLH7QrKm+ohQbCLYVUYasDw+waY4UEx6YJEedcrGuIsQ27bjnkxkBGBiiItUHXGMy/\nBA7sMJgWhyBJJmxKSNiUcG5AfTOSfxHme6GbbCP0F9Yy1ERQ4dSSRtgR7wlqEkLkzZ4YWxAJ\nnBoBkKQRKDYyNNHfBKQaZdgQF/Jrr0vXhl23HAQNlJTwdw4G09Lg/2QYTCtA0lLQ0lLQUqM3\nsprrn0z4lMbpqy4ULh+4CxTpjTNlIiyZl9OY4sYNgfldiFDCoNF2yNKgoQrt2lU/WLVHom3Y\n9Z8Ko/AAYUscKKynXAuz6Il9yNCOS8Vl3TSmnQou4iIAyPx6YLSPjsRCqsxStZEHV6az+UHz\ng/srDVeriy2U1PQ2CU34CQCR+7uo+Z4SWHNZJjXw/ocWeyYMpkXAgR0Gg2k8CtNAuZGjR5R2\nIEIWIvezbHTv+tKNbtIUhO12UNykzIOvPyArq/qhKmzcse27/otBqHTauhEvpcZeXvnpyeJQ\niFvbJywCgGMe6Fiq7/l2c8pL1yOkuKCpT78AQEnBbpMTIQumnU/Y/G6zIcsleAwXoJflhMzE\nVQyEAKCsNDKkgLGpn1ZbPxYG0zhwYIf5Iygtuj5ibUdRR+kUduPGErK+PXyUlNNCXjUj1bJi\nawWxtx/Q5ymbnDtb/Sa3OCJywwQ/w/aucrSF0lpevUbvcTqX8LWlnK4DY5umtBIa2OkLW+Bf\nN2qNHOFrGnRtIcKiVxDX8v/e2rDrZqWgUXvE/TZ5GcuvMTUfz17WQ7G9roZFqIvT1xcODHah\n4+TtJ8ZO7ySjrK1uslBFNi+tAACYJY/IlPbWur1UZTpOGn3ykoMPG4G0olcHSN6YVQAAiS88\nJeTchtIbkBuEwfxJ4MAO80cQfcblcdGAqNVPlMnCvvtr53H4hCknXtSv93fA2R3ex+VZPAAM\nMj9+b+KkqvdK8u+Ye6pNPO51/tPr1KK8cnbht/TY69G7Jm3t3C1khWB2qZWwqLPcRsMR1agn\nW1YorbNxqNRAoAr7hDSfCfnNnajx53T924xdImYam3Tt2sLuyyRcs/nbZjx5sm6wd0fxhXTV\nlfr2lw6UVhSa5nIyA07P0PNQELWnSrt2HHXA4wuLv0kdl526+eh4jaVStEWy/YIXPCjgZz3H\nXOxFddQqqVKqeuUKmXbefgCQ+z2OXf5ZdYmsrIusrItsp43BHE72N67kgv4jHj7dteq008Tg\nwdO+ZfBayShuMZdO03LrYnXAcefLWIOu5iIEEITYVi2lc1fjAGDftbeG45r0AwaDaVNwYIf5\nI2DkMujiVkZqetSGfWdzObnsJo0FsLltkQ/YILj7j/RzfPwGAIxNDj+cMr3qPVbZmyFeY+9m\nFgKAQfe5/rMPnbU/vt3a3VhOAgA+vNlqGLC6aS+kiag3U24j/Q/eXYAkChrC5nwzb0KXgXAl\n7v+z6+Yg6bWt0yfO8umnl8lKAsD7h9MGhW0Q116w3+7YioGDzl6z6757P08zYr/x8sjIcWZb\nTjmdCxw1Ky7a3zz0GgAAIE+/3mse3jYd5hU+138A7bnV1o28Jjom7mzWt9XpubzLstJI39xC\n06nTAIBKp0pI2+cF5/GP7cVoH+qK3vdf3s07OlpGofcCi4CjXdV4DckU9Ss+aXfme+vRS8Iu\nTNNaOfwriwMAg8ebJMduKC+NCs5j+vbWaMXXhsE0E21dIRnzf0VZ6ROwgXwOt5o88bWJ7Kpd\ntbXatUoWbIB3JLLYXE5+0KmpnV1lqA7imutNAl9/Emh2c6TOS//hG26t6khNZ3OWLZMUNEQI\n0W2JCWnZVc122nmPd27oJDIp8c6MTZpgA2IuqmaHvHIqneSev7W41wpFmoOklrfJtpfvfvMl\nyNqRwAb0Tz6vKuQ52e8O33hephNPEpJfzPMh7Fg/nsTo6MHqrw+hPYHqYAOELcX9WWxVOZeT\n67W9A6/hxJdff9Nz4QjdeeJGclNMSYhUtyM3pil2Tg4V4lJsZj2tmrDzxIUJde2T0XsM2heB\nCsqb8gj10oZd/x5jXOiiziMKK/5/cTn5XR2pukeuCBQSnk8CGzhWWIIQWrp9xOzrcYJbt4I6\nSLq7IITyM73BBqyffa64w/FeKw82sL+gBCE0ZamYxo6rvBtvb/UjO6j+ZHMQQkW528j2Ct/K\n+X/TzKTVZju8f3ywoLuM4VQYOuejzPu/mRq/fd2NBwIn9Zyo01KzEUIcVpqMHWnVFUOZVeua\n/+1gMC0PHrHDNCclRMegaUF0onFTZfNXfz3TWUVWcU92YHYHCvlAaC+3yKhpljtuLDo6SyXX\ndZf+tpTKpUXPIoZdIQx3O92UJ5G8vZPCleWUNE5mB2bX28utnePSNRY/WB1zctJ/D59ssLgS\ny5M/vWwy8ezRQSZbrrqcsNUmeezt6fYxrVH+/z4nTg/5L/I5ABgO3vN05rxqr6+McXvR+x8A\n0HXQRd9+PaveIkiyXgsf6YhQAeDGSZ9Wc/hfwfIwKNU+NvnqKthOADkZGDQa1vrBnefAYP8/\ndP3btOvgKllRZqU4f9enctb4Qdqp+am8g9rJFQDCvucAQMDim4ctunPZRUkZb2/HHgn+no2A\nAwCJzy+RyQpHjQQDuiSHueYC+x5Du6R+WFaGAAB8b7xT09mhSCYBgISs22zZsoHBK56kJX9N\nuT5reyCzg6WYbBdW2du7GT/LmJk3H3jM/Z7JyM0EAEIkev2FafvjozOKM56/2feNhUZL0gGA\nRFHxUZXbfPG10fhZrfbGMJhmpGHFRTEYgPysRR18RV21Hoe+f8sUUR1uYH90hqs4QXDYSVTH\nbtleQWNDV0vOOnLr5JL/hjuLEERW0pHpxzY9/5HSXmO0e//KIgWM/MhF4Z43v70qp3UcP2jt\nLsvpNDFZSTKJRJKSl5AvY9x2iE2ycvi2wVADAEz0rHK+yGw7cHi591Je87QfY95v8uSdU8Xk\npEj8hvX6TxJxujd9CQCARq+AG6HeMckwrheXnTr+2sNhU99sN9EDAFOdMbRkFa+DW/y3tV51\n/rPnTGbcfgQAknKLXsyxq/lj63vsehZCAOA/0aRmczJFfXfPjsNfJjAKD31j7dWkNm6RIqYu\nSOLwMBT050F57Tk9HAY8vg6PrwMAkETB0BgGDYJBg2DQQFAS/yu7/m1kO1YmxJQzYwBgk0/X\nTb/qFGcXA0By/K755/yjfiTSJdS0lbqpiYsAEwCgJKuESusuXuUnorjsAICTvHMdE3fWlVnr\nsvLX0K8dLixZNXV4hRYp1POW84FlU7ftLKYoWQzwvWRpSCMMgoYkzt3ciSnSfnhflygH2yF7\nxk949y1C70DIsOkb9g9fyAR1RYPV/z2bLcmPpEePM4TdDwN6dGiZ14PBtCw4sMM0guL8gNA8\nxysrz9CKn9rumDNEdMCribxtoFgT9t9eMe92HxUObwFLeekj/a3z+o4Mj3EanPDW1+roOYl2\ncwAAcYus141hDgiOmnuBlf/Yeft0U6rOg1G9BF3kpYdwEArsoV4hIBaO0N1zLgiAH9hp9p/b\nNOe1BswUnHcSpyEmAoCivICfbM5eA4WC0gLereFDtYvD9rPRdkqrrNC/c2HEhUdPeOfFefuO\n5Gz6T16ymk78/QQAoNL0TGlEGVtIaVllA1V4mYAQulbCXCTTlt/o/4doz4bIYjB3AQarfmUu\nE6IjIToSggAIArr2BVNzsLQEcyMhhYL/5K5/DxKp8ucJhaoGABcDS8dJiFZTK2c+6759cccB\n29442+jKSANA1F7te18AACRVJFkv4ksREgz/s8srs7/FJGdOkbQ7fSF6vNxWGn3gOqXKQtk0\nsX57FkdVc8dp+iWnKmtWi0JDeScOU884TBXif15KlpzKej0R/P2I+SvBU7GYRoAQ2rfYr49y\n++6dJ5+2Gfsu0rFCzjZYsHucloFCxV5Pnx+5lYjNvmI9U1umw6jBO3zb80fUctJcoziG9ybZ\nasm009GwOmRnFn3rlwnEktwCElmuA6Vy2ElWXZbNSi6ryAyQaS/TNOclFIXU7mKWfAIAKw8l\nGWcZ3mFw8CHilmZwWqmCKy+qG2M+BwAQKlsa4FEzB+JDYSkAsMriRReKCj109/G/yT6zGhAB\nYBrLgIXw5QGYCitBUgcIwccXsNMHLPqDfGdYshm+Ff5NXQtDe7W2a1ZBTXnym5nd1o0V2kRC\nxlmGRPJ9XFnoJyvJS3u19uUSJqMwvJDLXT5hIS+qA4DHP/gpERp9rDjsn7OjvwlanT52rqpZ\nj6FdUt6uWPXws/YAv2b8DcZhp374EWV/O95ssrCID4P5G8C/SDCNgELtbCnO/9mtqDm3vMzy\nM4utRQAATGgnVVUzNTZVUWuL4NLESGNdFABATuIHVtlrFVcFnhyhkvJyhaoNxeWkuZzcFDZH\nvSK2y0/NJ1OUaRWf3USDhx++N6AkHlVUDgB+7GarUdpsBnPixLtnLUz2ZNx3eJucn7l76tOl\n5wb88kWeWXN3qVooat2yYf8QqsZw5zNc2Qubt8KTb/XrVyP/GwSvgh3r4L+VELASpBtTGq0N\nu64gIzU2lc0BgITMhA8pMa8YUr/eR7Fxrz6lZQhtS6ZqRow0No0YPKt4jWXnnmU5z33ObmHp\nbrQUFy0nzRQj7V1/fLOyyWhuyfcLD9afKmaw2K9epif3VVm9stOOrfsNHX6uH6Gm8Co2JDhN\nA+CHwKyOiXv5lVl3AI6N6Sm036bBKDxi7LNBu/vyQ3rtm9EsBtOa4MAO0wiIKgXECIICAGzE\nLyqmSPll9JcgVdUFasVWWlQ6VVJ2WdYW79q6kFVZSCIuL32bcraXBk+y99YHacVVDXGPRBCF\nOSWgIg8A7PL3YYUl9dbkkJR1phFHPT+nH+zG/xy/c3zkmnSTZ24eDenx9zG1unnWwgQA5tmd\n2bB0QCqbc+no6Hd9PuhXmQbqRCUDgLj0gmK//a3jFUY4Y+1grB3E3oawI3AmAtJKGtecWwYH\nveHMKTh3A8wbuX6rDbsGOLhj2Ooc/kDdjd0mN4TpyCq719Z8+ISoCEm3jfd3nL2VJy+vZT4i\n2H+cPQCI0Ae9dvBdcCHEOiBITaXH+OG7Eqa87rl55cgd63M37d+wPJp+3GnvnTUHygl97YmP\nvdcbLKn0XExy5hhx2wfU2TMkm7NataTcivzdK5rRIAbT+uDADtMIWKwvV0uYY8RFASAr8TBV\nREdHhIKEZeO179U+89pRAP6i5pcv+XtfttMcVlIYlsP1kieRAODbSzvnt+OuzK+cxKGJWezq\n0dFp76D1M/yHK0g8eLp2ew5j05r5tblEIhGMgseffmp0VdKdICUWEbbwgv2GDujn7vPzs7io\nY31PRKX1Ce/fdVbI0PaTvEw7dvr6Mdzh/h0Hx72NeSu/xfjBA3knIqJGNyabdT9xk81KsDp0\n6qt95YrAXpoKkJXPLLnBRCAqbLwScVnlXC4A0Ci0VvH638bAHILMISgMoiPhxk24FwmPX9eV\n4lCNog9goQPn3oG15t/SteWU3WrMcgD479B/xhN22ktXX8dJJksZ9+JvDXclqOZ2riRr80Br\n88Calrv0cn3Yy7WKYFjydv5qWjJF3XPOJc85lffQvsoBaQ4r8SmzzHBi1bbNBqPwgIT7Yu7e\nevalxWD+THBgh2kEBEHY7Fxxfd4KevHzBfvO6w6+SQIQ+q3S2Xib2Onh1pdHBA4d+v3DDqfv\neRRJAAAp2dUTJfyMQrecn2ovURw1MTy854LV1draOcaUnLbfdd5+A4OlrtY/wCl+SYd2tbnU\n03KWWJhfj/W7ynbmhiwPL9q3ek6AURGbo97F5rDeLc8GPNSUea/yZR2CrrtuKWZ1VOq5bv7T\nlQb1BoQtgv7wCzNvKh7LLUp8NTcgdZSrGj+1sNsIM3j+hcNOdXjzPUyIb1z7Ve325RSKS80u\n9j/cyj7/w5Cgjyn0MYU1AJwiePYYoqIgKgoevYDi+lY6ckthch9I+A4dqyfK/Jlddzec3h0A\nAI4+O2rSb/Zcuaa53UwgdhlCD65Oz0cS240aHxxjMP/3tHUhPcxfQ16mk6izyeVrc9o7i0m4\naVmf2M3gchFCbFYi2MCHchZCqJwZIyhQnBK/ffhGXQkH0c6bJt9JshEUKGYU3p8bOEBlsajC\n8i72V880v6Nc1s/8nOY322CaVKCYT25aMNmWABuQcJ/Ke70IIcQtH7OEDjZAcWh/4Ft6te7O\nRJjxTJne/9Aiz/MvFyhuAtwy9Oo+CliLRvRHFFJdRYZ1lvyNXbPL0x69v8U7z/5+asbOEWP2\n2Oz/nNZMz1A/vCroYAPDIyJbwj6DySop2E/Y0lvCOAbTCuDADtNQ8jKdRJ1N29qLv4DfCewQ\nQif3avEDtdtvBMLs5B10WwJsgLClmu5ZuPPhkfMxp0LvbLbcqM5TllnzX2GNDT+aBxzYNZn8\nRBS0HMmL1hpgJRX8XV0X513sv1SMslATIcRmJfdwEiHZiUnbk0h2Er4/WunXFJfLiHp77lZC\ngtC7S9wlDS+/5p3PdxOnL7Hmncff609fMh4hphokygAAIABJREFUVJJ/d66/odRCquSSDtbH\nfHm/QrmcfLCBrznXRm7U7Hkuumpg9/HFEpqDatiP3BZ/MAymmcDlTjCYP4uJcy91FaECwP1z\nFo9L+Tu+y6sveu+yraMIBSHW3Ze7ncJnj9811eHkystJKQCg3nne0zX7JFu9XBmmHqQ1wGUr\n/PgIlp2EK2x9/3d1HR5i+5Ih5jF5CwBkJCyNKyv38UzOCn4/mMbauu/I7/jbcAiCPlh/grmW\nltC7M/t1+vbkNgBw2KnHirhlJRfflrMB4OmDBDU9F8QtmuA99pHo6JurP0Q6+OVEe/U/clXQ\n1iHQb7LV4YsjuwskqR829TkYttktZq6abM2+MJg/ExzYYRqKCK33ZMPh9ethfg+KSLcrs6wA\ngMNOn7Z7j0Cuoef+JeBjiKWLqYaOopgEmSQqL6UxvOesEIeoJI+DOjS8XvZPRbQjnH8DHaWE\n3Lp26+/q2i8tV13/8MbhkwHgzbUXdPHRK9rLU2ldfXprFGTu/E1nmwXtoZZFeX4lCBXlBYlI\n2VmL0wN+5gNwfbMKho/Uy013v8OUvmPn3V9Nq3fXyacdZ395Oq+4okiQ6KSDC/QHdhTnV4TJ\n/r6nV7DXXNtXSzsrtd0DYTCNBn8ZYBqKmNS8w03c9OHfInePkHySqgl9ACCjEIL2hdRmobPx\nGWQsRE6laTmNC3Ia99suYuqlJA6ufKgupKmD9YCmWCNLwvGxMPB4dXnBfQCvP6jr+vjJ4Wqr\nKfLOD6bkyHfglygXlRJlsz83xb3mRkreQx627MwvHvkiUkU3yIFx0eXBl1Kr5C9s6l0V2YwH\nb8QkpmhUFK2UV7fncPbeZZSNEwMAGKVRNUmr3Nh3mSSJiM3Ia4PHwGB+AxzYYVob1YWUPqvS\nL6kr1K/aAlzfrPofa+9PL+FV8luaHcdGb3oRCfIh6V4LmsVg/APHERGH1M2ePrM0EKpQznxK\nWzwgPZSjTMbD842h4D5Mc6kupKkCM7WJBvVsAWpEV+Xpf1bX9WEiRnv+9iGM780svhxRUmo1\nil8c+H5cKpXWve62rQNBklytIH3idYr4s8Re87W7lfX4cej8T/1YSVl3NQo5HwCqFtgECgCw\ngf+jS+mX/yPcMXNeLkaru4aNfW7yvZ9oUwo7YzBtAv6sx2BaicKcNc73r6sbee2wGtKE5umf\nfOYdmpfN/WUXil1XjnS3f19bVAcAFEqnoGlBUr8uvytkN3Qri38XMT0hwrI0yGM20SBFXphQ\n2MqtNuy6PryHdc9KWTpkzwLrzbNJZMVNWsrs8vf+EdOXpeaodGmlmt71MsJM58uDe4E5hYuV\nZdt1cC7J3x15813nIRMAQKlrd0bx6ZSKPWlyU/eSyHJmYtU3sQUAANEgo65aRidnSzOmHTzV\niu5jML8LDuwwmFai8OdLAFg/3nVSz0Zu/QkAAAUZ18KehBVX2TRsk3eHAwUl90J7Db4cCwDp\nH3eN2NBZfKGIrKv6+GO+5QgAgMNJX3JySSEXcdhJJDuxvLSDgzyVpn4TvvsTphLpwSB0jPNB\nU19d1kUhQnFh22G1Ydf1YWh5x3fAoNcxYbezObZTb+uKUEqLz7tfPynZzuy0bduMgtekg4Ft\nbvqyHxTjgXQRmpipMY3l+DVj+gAtAJBX9R8umm+63+dVRvLbhAvTdx7S7h8mXUfWEUHxX7zm\ne+y8XZlCdsjFYP5McGCHaWk4nH9g/1LEZbLre0yEEADQGp+6ymHnC5Wv8k6eLSVuufLrQ0sD\nQOXDdyyhGfl92pr6wmXPt6drZn2tOdfGnrjnitvcG+GaeDF4fRAioCRsRzq3oCYadD8kRNhV\nWDDUhl3XB0GSdJ/3sGBnTsHuwt3DugMAXWL8FdcXaT43jf6YyUoxqTk9RbiyKot4l0vV5NiU\nToulJQCAIEld8LrUj3Fh+HqtASHO0r3XPZ9Tz3uQU1sW2k11dfBqPMqN+Wto63ormP9PSgqP\ngQ28eeGp6UIjbKmKK3q53bvLu6XiQLZM5pcc47CzAk5N7eImS10o3WWDRUDMe568rCTGJdRE\nzVmSbE9TW9Xb9W6kwHLK+90WPnrtFtFk3Tqa7fNIZLHrsIMQYuQ/sN8xrONSccklGlPPhJ73\nUVZcd7mat5/f7hqzuZu0I1Vyiar5Hpen+QzBraT3+619DWSdaKKL5Hr5TTj44XvVhgErZeTX\nHD93cZqcA5mwpSp6GKx8EsPlFAYcHqviLEFbrNg32P5JMRMhdN6rHa/gHNiAoFZzHcZ9PKQV\n110uzLwwal1HiSVjfTykBc1VNl0TqNm4SUxIy0YIcThZofdDcytK2fmtlBn8+DOqKBmdzubw\n6kgvSqqv2FtN/tk6dnY6wivAnRReQa0u3uxAJEKIqTspf1zXGAzmLweP2GFakEEHd44ds/u2\n6wUPw/ZBJ8xmv/xWTWFLUM+1MQVLph2573rO3aDDqt3dXeJSAGDDNvPwH4p+thcfud9Y069D\n4EmTI0UMAGAxX/QMdirRnH/a5f7JmWuyYgNHhD+oww6X83OMt8XxVOrq6Sci5vpQPqyZnZJV\nzYeUODe97U5PmBr2oza5Dhz9MXbnMK9hSWwOAKR9XNM10PZWBn22qefqYTNEUq8vCOi69vMv\nI2EF2R7TbkbbWgbtm7auA/PjlkPGVps7B2cqrZy8fWU/g5dv91gHhgLA4HkXT0/qAwCBi29f\nsbFuiHFW+QezjTYSnWf4TXKabX/1sLk+AJxceu/czH41XzWJ1G5+f7Mbj4I9Ti60CujjkS18\n5miSorDKFxihrK4lwWVWXzjzphF2Hu2FAa5QZQ6dD00NBqn8cV3XC2JdfbB+esioAZuMVucU\nlhQcOR7/qt7hagwG03q0dWSJ+f+EN2I34Ebl3glHd3QUWzoVVRmxK87fCzZwvrByeOzqbk3J\nZW4IocBrm07mFPGEXE4R2ZaY/zMXIVSYsx5s4HB2Ie9W6rtzp1/H12Hn+5uxJDuJ2yVMnpxV\n/kHFgVx1xI7LLe6zSER6pU0mm8OTZCZ6gw2YPPuCuKyRzqKizuYfmSzerfLSt4MX0+hLxnEq\nmgeslCFsKXt/5vMu0xPmgg3IrHJkVewB4bFciuqkxztPfmcONnCPwUQI1WucN0RnF5skcPXD\n/QFgA7wRSgGCEbtyZoyBM63H9vl+98NufH69a5Ws0BE73s5vjeOfHbFDXKQmUevODeMXo5dJ\ntbdFCCGUGI1sLYQPmAEg1wd/ZNd1weUylm1rDzZAshMDG5iRnpOZbAk2oOHvlt9CG59gMJhG\ngsudYFqQOf0rq8ObjTUs3XQ6l3tCICnMPg8A411/WU5Eoz8BABcL56i4i37PPn3PSYpPusNB\n/AEBCZlF/2mGzluteaj7SONORoN1Rk3W007/6l6bnaQXH8Wl7c3EaDwhhaqzTFZySxW1otwt\n0czycY5rFSqWqytoeO6ZqSAuJc4oOnaTwTSeGdy1ovYvVVQ/ZHT3nucunS8unShB5wnp4la2\nitK8cylFE4DwntaulIqFdKZK0v4JpTXfTEOMU6iaO3t0rPcl80j/4vGZPLFk8QHe5daagzSY\nRkPACQcY4if85vkdcH4H6PQD8+FgoAeK7UBODkQQFBbCz2SIfQMPbsKLL4Bq+UPIDoZNA//I\nruvi/b2Rvp9/zJ54fqf5OCkHMgDIq4UdtbKbddF/1LWZT8b2aprZhpD2/vD5bHmnIWOEXmIw\nGAE4sMO0IL8UjBKRQAixqnzZUGniBEHNCMqqmk9AAJnLyZjgpRNFMVrYb8wAvb7zzLcM9FLj\n3yXJHlr5Y8W327c/PXz27fyui0s7GgbeGSPcDgAQJOJXL0ChojYpj/zUZwAwRrVq6QeS3TBH\nAMjNuA0ABt1+mbFSN9CDc9G3GExBYEciV21LAQC6NL3SDbLwXAkmo37jNLFhlAZnWojLdWKV\nRT3JLTASL7/xaP3anAK9XJzH99sM9gXrs3AhqVaFj8/h4/NGm6XKQ9RFoJHr0mnDrmvH68or\neTWfwxbWAgmJJDdz7NmM14qed9fB2AtNM9sQEp9vWh7XXRDJVbvEYDAC8Bo7TAty+EXlorp7\nlx/TxcdULQEqKbeQBOztOSxpujTviDg8Yerp53k/3S5mFrxYc91ntMt0w7E927FYFU1+Jvg5\nnVjdVXPEolEbjjpFvnef9CbapVDaXqgdANAw0i0p2BtZWsZrzuVkBuQWVfWQy+ECgAhRawBV\n/QaJAgDNtaKobuMEISw1shbkVXdtMe40cZ2ystfgY4W9oqZYv788cFktK+0wjeD0U9CXa06D\nIkpwNRb0G1BGrg27roUbDKa6gUVNuUnP9mWMu3W3ZXPryivNZrLquIvBYBoODuwwLci786bL\nIo9FfbkdEjFpxqvEMZMCqt6liZnsNujo5zvC/9GZZ4mPdkVMsIl5ZmHeS1R8AIkgtjy6+jHz\n06P4E7P8BlMAfnxPKOIiugxn173NVud3Rya8fPzx4oYLUWJS4zQkzYTaAQA13b1DxFjWG6zD\nYm5ExUcsCuqTIU6t6oO0ajcAuJlVWFXofdTW+eIrUTEzAHj94ZdUibS37wDAtGJut8k0l/F9\nfkXnVHjlZ8mus66lB5dmb/14Yvx8I7OI0j1lvu2kqbReaB9SJpPIFA20D+lQ8SB9I6EqQ3QM\nmDV0TrweNE3h1Qcwb/+nd10LXaiUgtTq6UcAkP49l0zVqClnlb0mbIn1SRFWGzpS7cmii9sN\n3GEXmVfCuzt5qXj/u/HRD1f0X91uQkwST/g2xt/cR1vKUURhWecpJ3x4aUxeHtKDnnxiFJ8l\nbIkFmXnVLmMu9KI4KGZzKgPHW3s6iyzqwcTrETD/JDiww7Qg4Sv2vH/sZeFvFRiXumjq9TOD\nulRTsHF4vWWQ9q4ImyG+Y7fHM3Y4xbmoyolLO92b6vL0pp3B+sEuV09ZT3sRaKAfuX9wQH6R\nVDuPyBluqdEbLHwHWO53jhe3vuF1glSLHQAgkZWuel+brJS79KDVqL2LszW2XvnVB+l2nppU\nyq3wzfkVi9JyU4PWPdj/XFRETHKWmZho7AXXryw27xa77JPzpTd08THTJBsxliaUJhuvbd0U\npgWhdYRbCeDvDKK/ERbTlGHtfvh4q3EDZm3YtTDWdFFOfjv7Rm5xVWHBz3P/xf9Q7LSqtlY7\n/KY9pwwOmB2+bZRt9qewUWuHfKz4Z5/5beO4h8k21gcD9doDwLdoe4PQZQXtrALmHF5rOjHm\n8bpe3jOLucjF/dWxXp1ExUZ83PDRR1662qWOyWIOJ8sjJZvfHypdGpes0StItPE1IzGY/wfa\nOnsD8/8JLyuWnwH6Z/Px8RzClpBfZ7X6aqDP+cWajlTa4j687NEf8StEbAlx9yFuF7duubDU\n2FWMsKWv/ZQuaBuwUkbCzUZwyXtqi0+pAsntoA6UhZq881+yYusz7uMhLeG+qKqfX54NARtw\nuBt24W0qwrQJhd/QJhfURaHWfFWhh8FwtC0cFZX/rV1XgVlyV9eRSlnYYebRFWADvSM2rjg6\nScGeTFmodbVKWroAXlK22NKJRRU5s4XZR6m2RK+LMQihSUvEqE56qSx+ljmXyzB0EtHYeUDQ\nPC99J2FLWL5JQgg9OthVbMkkwa1ql6Nd6OoB53nn2T+Wgg345RTW9MfqkNvJ+Ggmzt/F/F+D\n52Uw/zpdB4THiOgvu7k3+PJVLrVdX33bQ9N9eVOWat02f3TRXHJ1x/5bnkwQ09WwOGAbNK+L\ncrP021jj6t3XDVeZeeCUbaTedSt91WbxAdM4JDvByiBYGQQfXkLUA4h5C58+Q2o6ZOVCKRNY\nbBChAV0ClJShvQbo6YGhEQw3gQ4yf3fXVaCJmbxYf2PRkSVHH2wFgFfX1sQQlB7dZh6dGTJC\nkl5bq17jfSQqtu2SlJ+5od2izU8uw7heACCrtFaVwp84KinYF1NWPnOYwdesr/yW5JH9RUXe\nRH6B+tLDPftpDnm4vBRZ0wl4ePacqNhIVznJmmrtWfFLQvr/R+s0vu+06UbTx3TWxZNWmP8/\nCISndjAtAKPouLjrzHvbmcPpv7scDYPB/Gkwi5Pis1JZhJi6kp4avdbNxFhlr0UWGVp6ZV5S\nVxAIb/q2n5A+oCTg9OSl4tFalxMXmfDkuRmz5T2P1jTSTvVM1rpJjw/pjIjrXhJ4hiesdlmc\nFyy5fMmKjXmbFAjNRe2kzZ/Fju8t1CUuN//hm4gz0WfOvb5TIqk3pe+06UbTTTs000JGDOYP\nAP9cwbQIYpLTmLuZw/6lqO5VhAFhS0h7eLW1I5hG8OJUd8KW4B1Sy5c3QaFtSX2/TstVUntH\nPRmpdVOc709Z2NAxYDYrMej8gqG+Q4f5Dh/uZ2IWYLH81rGCOusm5iXnVb38mM+gUPkVLglS\n5To4CrUDAOzwLUL7UNUja92ker2SkF08mE47ezkmK3lZEou92rxbbZokkszQXvNDbK+nbv+x\nqXenI7dWmW3QUFhj7Hwp5CPOzMX8X4ADO0wLQaJRmrDfPaZWLm1oT3ekdw6600A55l8g4miw\n1LALcQuHt053rLIY85X6S68djCsk6XcyMenUrTz3me+ZWZrrZyWzObW1en1+bWnF1FBx3lmP\nrPyOvSfUVJOQdlKmkPfeeiKQMAqvdl6pafM5rQGukTYaaqTEed48fVVCxm6yRK3zwlx2zv3X\nYa5hE7os01h6/8kQQ5udNtf2jrT+/tanr+f4UjyFhfn7wWvsMJi/Ay67jMliMmt8fdYmx/wL\nZHE4Clpd6JT6fqIjNpeoV6l+rh6YeL+AMWX8ubBR4+m86o+o7OLNedbnjluctH0/a5jwZuRL\nnX3nrxw4glz8IeTKViSiF25lUFOLRFG9OM6s//nRo5juE7v2FWF+3H3RJ4M8bJOWMgCQqKTy\nstjrn6I6dhrQTYRS7RIADMbOKnvsuSCBMJq5pDb/54QMuRr/hCGqMdrA2nveHUv9AdL8IcNR\nVsZzyAtVH5SWWYiJ/u5rwmDaFDxih8FgMH8l2zyVN+cV3Q3R7hx0pyTvzpwAQ2lHEemlnSad\nDCrizY2iMsKWeP4pWMNFnGovrr3B8nxFpZKsxPDRW3rKOop1XG8W/j27rm6qsPZ9mpyKz6nR\nE+iCmt4Ezcri+BY1+W8vVtfWynxxrLNixsZTC5Zc3iGpPevKuqe9aFShmkajbtyetaLw63Hn\nsOnu18IVDFc9XX9BkUwCAB0Tp65iWZYBFvsKSmpeAoCU/ApDmggbKH79tIQaBwCygunBpTEF\nAQnn5vrN6jFQuspEMIks98jjkTmO6jB/P3jEDoPBCIFR8F1MGq8o/6NZviGj2EP62Zx3N3Vl\nRropJWq731p9llz0wjl0njG727tZI3hq1nsv7XWLHyTN2bRriG3wwfHrnFllr/v62rTru/nG\nHMvC1DMzQjcCNGiLi2QWW727eU25eU/1VTfe1daKRJbz+O+6x3/V5WcCS2oqmw7ZaDpkY025\nrKrTOz+n2i4BAAjKcDFaooxHf9FakzkOTV177+nWpa9Tdk4dAwArDyyQ6Tbfw3ggAABBG9i5\niVvoYjB/FHjEDoNpfj7Fhc4MMlJbKiPiKNVhVc9ZJ7xfFZbWppyVctktfKLuCjXJhTTF5Z0H\n+I8PfH63pMpan5t+7QlbYnxaNgCkfrLgLeSvQ95wyzzKmU95bcsQcFiJG4+M6bBUQsHbvRlf\nCKZFyU13u8eUu2e3tp+aZh+daWfsJ318/F9pxd950IJwy46dZWW6uk/vW1r4EAC+vlj8kzrk\n0X/u/VS7mvddc3GodgM7mi4llvVVSAD3PiFTVHxkMz1NE2GW3AjKLx44eVYdOtFXzUYeDuHQ\nxXmX3RREdx0ZNuzSi1ZxEINpJfCIHQbTzNy7bGV2+bKgkFBKVtyxe3Eno/Zuc3npqqNWTfni\n5UmTL0ewKpeWf83K+/r044UN16yuLj9pLC4KAHQpdQ15KqMgJZPNoVCV20vxZ4tqkzfccjU4\nnHS7TX0O/8gFADGJZnsh/yYXYy8CgIzysKHK0g3Rj4+/msBiU6ldRuvpNravjI9xYlIz1Clk\n3mW7jvM47KNRpWUj6QAAY9vzR+Moovws9R8xKbIqOwUbM+gO7wcPrjWkI09b14P+9sue6fr2\n7y8Qvnq5ev6X9IGT2ywfnMv5ufPR+bjHXgRFa7deXXumOd98tND9+3YtJd7l7HE7LXqIt/d3\nhHHRreIpBtMa4MAO8xeQk/TkM0nHuIMcAMjZkwesSLvSSakO/dLCq+P8Fz7MKkjekafjSK1X\nvxovTnU3ezWqcNu2JrjKKAw3v5wiKt5rlfWKEZq6wEyNjD247s6ZUnb68uA+PfwSzapEVO8e\nTLC+dB4AtPUWrB5kra/auTTv0/OPZ9fdOp6XdnGE97RvWyIUyKQhdk8TAS6sVRiflq2kGZbo\nzh8aqU3ecMvVnD99ZPixDPri8fun9RjSSVqxCY+PEWC90xoADMe9fmUpJFGgJs9PzFnwM1dU\nbERp8M0mdEdUmX4hCDIAsBECIABAklQ9PZ0gCN4tHiRyXXWMbQ/bVr0cKk/3O2B8+GofI9Uu\nUlD0JePly7QMMkXFlHsDQL9aWwpV84LTBRVZqSY8UcPhcvN9zriwxfU3L7rYviK6FcrHMtYy\npV/ibEnFYezyfS3qHgbTyuDADvMX8PCQlaPo4bSVowBgQt9pXYSNNlUl+szSJ0UDH65eI0ci\nNUS/GWGzk2l046hN9/vwq7bqG2mPnNFNv1PwWg47Y/6+C8lLpvE1yz+YnLgEAN2HHo6dNZv/\ntayqM0jPakZ3vY5+q4rzL46/E/9oZPdG+9BUywuepez1+rFA7Xd3FMU0mXLmyya0Uuqixzh7\nPJW9SY1CAoDs5DAyWWGYGA2gXKi+eu8Oeae3l6MxIgQAwPfoqDqMH31WvWiwKFW0MOfdnZx3\ngkuAPJ+LnmtGVp++J0jSVgZWTXiiRkGhds0IKWuIppuq3JqIwyNm24oTBAAgbtGJ8ytkFJ1b\n2EEMplXBgR3mL2O/zbF6dRh5DLq4VV81vQbqNy9WNif7/FqLX13P83D3AzPjvqd+cMjmTmlH\nIgFAwlO7LA6HKtL1zvSZ1YbOVLqsCNXaviAhPfaWP4wMa6wDTbas2vXA3xXVlZcm34y9cCH2\n2pvMlPSC9CxGqaSYrJKcdh8NoxEGkyfrGbVaKUUuJ/NLVl5NObM46VNGrTXVBK1z82I25BYC\nAEBTauTKqwUMoSmbHvA5bv0fuejFotBTXQacEycIqKUoW6c+wYpHjQYfCd49Yhzj56U519Lr\nMF66q9bloX8dS5ccu75xgoKbn1F7bWky8/P3p0mo6/E1y9raLwymOcGBHaYNyEo8Ynva/1nq\nJyZFoYf2+NAF/rxKVKyy92uOuZ58+zSNwZSX05kwZN2uUdbLl0v55hUBjCbZ0bl7GaoLKYbL\nU3lTq0Lt7F4t55iZBzCdsJ2eHsoxXCQi0Afgnru5eEPk2Y8Fpeoq/RaO3e5qqAsArLK3q8I9\nLnx+nM6WNO+7xJHEbfKjkUgSO/WFrPIZPXUaxG3lcgt25Zd4yUkCwIN7HwBAvv0mxRpTogBg\nMkIXEtIZRSdL0aHK0hINo8mWe44e3BD7j8N1Bj36JLi8HFQ6tvYx0VfnDfpceyO4pFA1SnYm\nitT+QIfWK85PyeKdEwTpyfZSoUmOXPbPfZddl984Wcj95Y+VW5SeW5T+4XvUkQd+9tKGHuO3\nrBpgTmn58K4wd72O586a8vf3xuvca4QdmphZE3onSNIXvS7YH1oxbN16JKJq3m/jtakWdehT\nab1euu+ZcybYdJ2HmGL/wOVnZ/iMb0K/fx1i0iMebk2+9erckx8JJVyKed/FE/taqlDrmr3F\nYP46cGCHaW04rEQj3/nUHu4Hx+0gSt97HnK22GXMm6Dc4W+yPVM7aM4JPQmRuPehThHjpQ1z\nvb2T9DdrLxfdFe9i1hA781d/VdihZ1fo/WXlRLlfI5vHl4ZPufZu0UQ/f3WFl9H+7qE9Mpel\nbOks57B+yJEC5Y1T9/QULzt82dUqp5jS1MlbUfGxvAG5akjK2gBsBYDo4lKQkwSAe0WlAJCb\n7qK92kPIW2KnAwBCZR/K2Ya1FP2qjSZbNlQQsm96TbpZWEKVwG775/SxvTrVpnz1eVLVSzYr\naW9BySIZceHaiL0po3LcS1xqvtCoLvv70ZHBdjFF9YwkMQpi1oaNCH/pct3Rr4vI3/FZ19t8\nbaP0128t4J1IyI085lYjL5WgoX2Vo3byKudKAvnnilrzb6yYL7g1ZXdDdndoJcpKI0WdTQDg\nyY4y49prlzQNgiQ3sq/tyL7NaxWD+YP4Oz7sMP9PMIqOJbHYEbPWjpYQBRjclZW5M5VfNDVe\nuo+T9R77bmoAMKiL2a47Is9S8sT6aEqRSCSSlLyEfEPs0MRkJclC9Dns1AnXH5tOiwse1g0A\nTHXGkr4r+ez3X+ZcfjAzf7331+VqcgBg2n3APWfdkqYGdmSKunA5VZNEEFyEmMX8xUCpbA4A\nlJf+SKgzPsnjNHr4sMmWhY7w1URGwVOZEphRsdfF2xvPoJbADnELAvOKqgmPv0leNFR44mdJ\n4YEEFltwqWlsX1MnK3GX3lbnLE71nTYIghAhE2Xs6g/1LT7YaN2PF94nu1Bb8OOORJJpL/vL\nSO2PvB8AIEJXUhRtUFxOoykO7bModFSDMi0wTSMn5ciU8E1xOdULMmcFZrWJPxhMS4ADO0xr\nIypuKUNa67jTNsd0lqnOEM1+nv4Vtw44XQEAFjPrc+aXt9+uJ5Sz29W+dWMddoRSnBeQyea4\n9VQoKOUPcpgP6bzy6N7EZxqiYiaeahUlIajaAcpy9kIqpzYIDjulFnkqFyEAkJYR40k6UMiP\nAbqPfBE3qZlHD5psmWjYnC9BklqvImdXMWGak+rDhelCQ8KivMB8bvVI6/O9B1BLYJcSd7jq\n5YzhXasplDEeDvZbUjWqo9G7LrRwmdQ4FUQcAAAgAElEQVRzdE8ldQkKUVScEZNw6/STHbte\nvxLoFGSeG7zNM2315pabcpOS35iy7ZeyuryagvrmNxqYFYtpBdyDHb9pOOy1HiHVsN8wGMzf\nCA7sMK0NldYz3v3gkktBzntHMYGk1dF81ZSD87RVAODTq63/XQh+/jNTQVZTr30/RXJdX8R1\n2BEKs/gTAFgsr17FIzmrmEr7ZQ5LXV0WPjbx6ZglV3K5XLkas7HF+Qd4J5aS/KX0w6XEThQx\ncr42/xRYy1kWYDbWAHbf5p2zyuLDCxnzpMRqqiU9v1pTWJC1uRw5CF1m9+DuZ8E5VUTXVbb6\n1PC2oMmfyivTC7r28rxju7Z9lTVSkhIqQw3mDjWY6/phu+kOt+8V43+ZSVsmPPzv4uDqkSLm\nX4JzorAk0san2ad3MZg/CvyrBdMGqGrPPe32unBH+kPnIyb0t7YBfRNZnDLG7Z57VooZbkwK\nKvm59fO9xUc61LeoWaid2pSpdFkAyArloH2o6qGhLMUqi6mqWZBV3ORH43KLnd6n1pTfPnMY\nAKgi3aZL8AOggUO0ASAr2SOtxuwhAARv7SS5SFJj06Em+NBylgWo6f6yMeiBOOHjlHcefxWc\nUyqGA9ms5NACYW8YlW/OzBdcKWpupP4a/GWnrPFK/Cm4VO++9d3C9e1r+Ueipev8es1uiSoR\n9o3Ts/O4tQ4ANzve47y9x3nbd1VutR4x9YCQJpXyooDR1n5gMC0LDuwwrU3Kuzl6a/uWIESh\nKQ3Un+4/353DTo0sLSspPFCG0P6xczuI0QCAw06OL6ur9ENtdmrTl5RZLEIQq75kCCQ3jpob\nBwZpGA1nMu5uTMvlCbmcn8uTf2vBzfm9M9786vmP95tmvE4CgK6D9wmCFe2BIZIkEqv807CD\nu9m/xhvJ79a6fv1eXFZsNMa0uvXa5qaryJtouTGI0IfOkKwcovt0J1KYR6W+/BIeICJqtEKu\ncvjtZKyQQLC4IPR7lQV2A8cZV1MIP7in0gGawWNHt7rTXWVVbe6O6yO4LGe+XFwlLmxp1lqu\nXWu51q5LQwO7+FtLZx+YbX9ayBhns1NcVsppvRD3j4GgHJu1eNNWi61PIp4kvX6T8kZwtLVn\nGExzggM7TGsj33Hk5/RXQw/7XP3wOCo+wm3vVhrdeLIEXUxiqihB2F09/CYtPjLuyASfPggg\n+9vrbBaHRCIYBY8/ZX5siJ3a+qWKGoX163Jo+1Dve4ejvj7Yf3nu2Kh7A0wnyqlsmacovWHT\nkIDH5+7FnbT3NchRqCVns2GUlT4asHrwtkcXY9M+vk6853duum6wJwshGr3/5Un9Kv2hGd6y\nGgIAX14u0vSbG/bmwcespLjEhyERc3ru2MhFSFphbliPylQMXgxTkHk5s5zNZhXWIW+s5aax\nuI+G4Dz/p09pjUChpGCXIMFCvv2y8f01Bbc+R96vaTA55kTlQxG0jRoKVe+yyl6vSs0RXBpP\nOq5e5x4DPHqPPKVWRe3Bhef1NmkrvsadOfrsaFiUZ6NafXp/0DbUXGOZIt1BTH2Vntkuh9Of\nP1XTKSuNJGwJqqMWALyN3mC0WkFykRjVniKzVH1YiM3pGsEuQoxL972tfHupLJURWSiusrzz\n6L0ORz9/raZWkO1O2BJke7maXuVnLSJsCcpC1eqWubmHrrgM8Ook7Sgi59Zh5D7nW5mFTMY1\nwpYQcdIT+oDM4phVRyZ1Wa4s5iAivaT9kB3zTybWVXWvbgwPBmQWPV9xaOJAH0OD9QaCo8kG\nMZg/ELzGDtPaiEnOfDnvs+O1vROfrKWLq3XrNOrS2u2SJAIkxj+Zs2retdX9b5XpdOznPP2V\nU/Rsq3sz7PW/+lvOFAvz67H+YFlIWv12amfa/Ff5sg5B15ZsLuF0UDLwsXnu0UMdAEI9H0gf\nctl0YmYJIW3W3/txz4heh+swUxfq+qs0U7c/yHvuEW5dtdaIqESvU6tvafwai/QfdXt/gZnN\nvQcpnw/P+/xLlzLKY2+t3CNWJZtBpZsypGUX5+9SctoFAIIyFkLljbLcNHTNx0Pke945m/1j\ne36Rx69L4pJjzgrOu5n31uowBq7G8i4LMjeXoYXVqgffu/9FcC4l5679axJrZuK68opRSYKg\nBBp3boiTZIrGOhU5m4o8j9zU4wAtvhFCNZjFX54lf8lh1pWiXFzwZllCBgCwWdXjp1pBZTsO\nD3V+VBmq/sh6/yPr/d3Xe7YYbXxos0q8xp/409P5PQ+FIYQIggzALSj+8eDNgai445/cv3lW\njCyWM9/M2WJyKjVX0Coj7+v1l1+vv9yz33T/3WkLmpyAwip7N2X9oAuZBRXXKbde7LgTfcR9\nzvramuRnnOjuZ5tQxuI5XFqS+jDu0KO3Jz67ffPqWutq2jpg72HXr4TB/OUQqPasQwwG03Be\nRRj0uf5Gd+iTdzO6nLztF/7q4uufyflsspp8NwvD6SvGOHaspdzGt89Ht90/euvL6/SiXLKI\ntLZaX8u+892HTZL6NUjlsBJXHbY5+u7lz9JyWcn2Wb4Jdcsbbrmc+ZS2eAAAhPgVO0k3dLQS\noRINR5lkNv+bss/ENy8telRV2LO2nUMaf4ztZABjinh5O0e53IoaK4G+RUtkJKqYK1VzlEyr\nGOEzmvL2ufkvG48+2NN5WDQ/6BGX+q/Yv6FrBN/d7tf99AveOUHQiveUVg1qX5zq3u8Of2ss\nSdllNTcIrlehDhC30O/4RM+ou2UN/pili49hBF1piObts0Yjbr4kCPKooesce5vqKSunp7+7\n/TLY+9FdhJDuoFPv507hafLKwpFIEjIEgyM/auesDeO7GFDKs56+2T//8NpvLLaY5KSSgDMA\nAKh88TrVkNQcEkli1qgtDn1HdJKgpaa/Onhr5a63nwDAYkrMdfNePLMF2e4yK/1JJFnOntxq\nvuVnLZJdtZNMUWFXlsfjemxQ2pacLULT9Zq+dYpOb1Fu7qO4MPezQbw/OlWkW/nO+KoOA4AK\nlcKQG7V71kbrLt3J5TkPXx+wP7LmK4stJjm9JOB4A19pPaCyRSc3hEzfWL8mBvOXgEfsMJjm\nofeEWDSBfz5j5OYZIzc3sKFml1mhXWbVq0amdtq64O7WBssbbllE1LhqGdsGQhDi69vL/5fE\nn8hLiLoCVQM7xN6SxR+bodL0p0jSCaB7yEt5VKRHnIpJXmLSTaBelB8iiOoAwLFf5bwtj0eJ\nlbXHxGVGN9xPmfaVO9wjVBZfzu7byILPTebQ/r7LX36uX68KI8Zsaogak3FjzK1oAJgy8+XJ\nofxIS0NGw1h3rKniiEHnbn98POPkBMtpkpUrE7jc4hL6gDjvC/x6fnTFof1X3RF5rrn7EqPo\nbAabq0whpX6yC0nNAQAXx7cBPTV4DZWlO/TWGdclRGvJm+93Isb9GJ7UvgGT4NXITHTelpxN\nEPT9Xk9nK0oDAIDqdFM/k47Sylu9amuVQzZ8uzaC77BoO1NjjzuijzvtuswoOpHHPSZb5/C8\nUFjMeO8Iv6p17FjMhLuJDBzYYf6fwGvsMBhMExlm2VtwXpjjm1ulZF1J4cGkikwIWWUP3jfw\nqCHaAoXP93/Zaev7y8p5Wxp98NwaxVMeMyv3s89MnkLYEg081ANuVbVTd0ZOM1Kct9Mmmj+5\nTKUpD9Ax7a+mwbuUkDcy0zUz0zUz0x2qK81/Uu0+Lsdd4y+Y9xBqrRpvry1nISQuNft4RVQn\nYMDIi31ERRDi+D6ovtjOaMrBalWalbvM5p3kIy4AXDl5FQBklTwFUV0F5IULjooQBJv9wzkx\nsyEeVuPG8bMAoKwVWhHV8VHq7LmqnXQtjaD3xLBqDito8mfSC2rUR2wI+wLN9n5j9tPUfxp/\nvbPmgH7qWu8Tv3kvimqCKQzmjwUHdhgMpomodPEiVUxrcrn5W7IrUzrS4o8Kzrua8lNGNIwm\nCoQFWVuq5lvciqpcYKemKySBoGrC7O+Q1fidPJrG6wvbeQtd5NVtkoJSH7vdeeqdeNRICwBo\ntJm3XW/fdr192/V+/LY0b8MuAP9j7yzjolqiAH7uJgssXdItIUojimKAgYXdDQIKiKSBimKg\ngILYhd3dihjwbEVUUFBKpKRrgc37PiwstQurYr13/7/9MHfumTNzryscZk5AXnpKb11h0+xd\nffEZADQtF7X/CY4gFB9pKgB8SWrrrjfdpG0VYwTXyoCOKa0CAAPHqe1nJFHs5kqIAUBKYkb7\nu52ytbACAAyH9W9/a4Jt291ZHtNM1dv0IDiB0VHCEPmldI3X/uARG0MVpcB6YbBzVILrpH3x\nj35EJwbGnwZm2GFgCAXKqVm6p6+cJ8nk8CNBPd9BwfuowPPNR1EzfcUV1wrlYvUnQBKxaZmX\n+NbDZuPsSXzzdtFsYxVugyrlzYtRZbPydzZls0M5tZvKmo1Ch5Ftd6EAoLaLUtDRvmun5zu4\n+L4xeNPbPVyZ0PiTdtS4uQBQUbS6nhcIgpNc5Z40XVaiviZ+8P5jfFW1J6GBDgCp93rz3aSc\nUVgGAIz6T21G6XZcVA2lpzFYAKCs2zaJN5fBYiIAUJXX1qOuU1C07g2DCQDa3fhszslpywka\naNLVh+aVHI4yHg8AZt0VX376CgBqPdbmv+dTUhkD4+8F87HDwBCKoqzZm14+XjL96ChtA0E9\n30Fx5tHIO9mbxzcGBsrJqqtRf2hP4hfjZqN94M47bjvnxSmYyC1ixtn8tYLbSSBqz+ZlvEMo\nyxWkFjVFVJx99dlvsDEA1FZGFTc52OFwUqHKfDJoUPEINO3ZKekv9DRqm0pDSGwp5O8b+K3c\nrGsAAAJBNVih2clPTHIWgqzkcCpv0BrGN6XmQRCxrR7zj6/bmvN6Xmzl+LktY0oEwI1BEZXS\nURdciFZcqm3B48580nhBx/xv4xEEADgcIbZOWweLoGhDB1F6CF7gsviWJ/kRPGQkVl05Yjp+\nrrpF9/cnDjFtN9SWXETwAs+CMTD+RjDDDgNDKGqLSwFgdf/pkk2/Htv3/DhbV7z/5jEogw0k\nwb8cfy7dB02GJsOutnLHZ9ZmDQK+vuY0z5VNSmFpyzTCgwZ1h2OPue1PD+7BYGMAyHp6iScg\nrRSiwK+OpyaB0KxTcfqKEX26/mG6lDxusKeIZcuHwRPUjEiEVDrzTl2zYQcA8uqbdYgxmUzW\nhjPP5y4Y1KlyIxLxHZ1pOPD8S6deXbZiRESfSPjAYBZ8KgFl2fb3E2gNACChxOdWG1iMVn54\nOJxMNwK+kMXOLqwGBek2wmXZZfCr8PfacjPSc47e4HizGINqPfmlZ3CV2VYOd3/ZAjAwfgHY\nUSwGRks41+8ttVujTV1IFFkkZbxhWFTyJwA4tVJOPzYRAKTccHp7E/j2FGWemLzFUsZThLpE\nte8OtysFlS31vn65ySFUh+pBkvXXm3g87DOLDQCrgiTNriRxOBWIK2JxNRkAXP2pLY9iU15v\nHbqhu+RCkoRPt4E7F94ra67EtSpIUiP67r04VxUvcaIbqdtSQ48bJ3/RKWMLJGT8dZoO+FCU\nvq6oAgCKPu7nCegNtGspr2Y6k9euKt3IPZG8+U+zN5jJ8BF8J7JpUd+zpriar8wfhZgAc7+f\nCBkA0j+3PtBECPMkxACgIO2AMMpnqMoAQN7rF3zvnrwXFXkn8gwvY5zQeMtJAMCHu6fb32LS\nX+ytqgUAI/s2GQT51Hr58CC1Tc8SGQkA+HCHj9PClcdZ37rO70aq29xXEdXXzbXwBJX7G97u\ncV5xyOfFo4kDf9kCMDB+AZhhh4HRzNubg0ee3FSn4LRu0q7wMX4qtCe+O3teqW1wdLt9dmQv\nAIhb+uScsxkAtOkpyQnX2zwzvlrZZ1RkqONcJOf4uFCjQ03BBJ+ezLPYuyyTardyYvTi3lZ3\nElZYhS0FgAWe8Uf6dcfhqE+XPz3cT7/NYrJeuvfa5feKZbRkzNal9pO+pOwbttrqcX1zcGhZ\n/sqhF27NGLHljOueMYp1uy9Om5iU/WteVDMIeZ1Gc4mIhLgPAPAy7gOvZ1KvViUuxCRceJ5e\nbFbh9spalFPFqzwGAEECSmL0VW3e6akuju+Kpf9cDIgEAGA2JLXp7ycuAgA5T9v+S2kRCQDA\naHgqjHLbiTMBoPizx/r3eW1uZSV7Tzu5JOBcIIvyzQ5qIyc7AUBFUcjSlDY13zh7D06qR1E8\nQXmbbmNmYAQnAQAcTt2BilaVfxtoCTMft3XvmzJ1JAAUZbieLmlllBdnbwoproSfjNuB6aUc\nDgBM3+8CgBfD4wCARNGdbDt3tKH5z54dA+MXgx3FYvy5lBWllopodZdqm/ni53HyQZK4pPsr\nj+3czZb5tjpivtP3FFeO1rbolSsBAFZaNtyDV1nVVj3T/NbgZGd+Xh3LTffv5TjbeomxX8y2\nOWuCUU7FqGPHZFSC0xevJSEA4DFWJq/nyYiD1WvmqVmaSIsBEGy0bNqsBEXrJh6Kpcq5fAze\nLYPDAYBnX1u54Gmzjt7LWDCMK0OreLoquHiNhjwAjDN3uuKp8vz+JzDX+kUvqwm7UVaw9Qq3\nnZ+yD6BfRFPtLzxB2V2ytccYQgjuJjMnt/Go7tzLz27mp3lZi0WpE4aJ8veB0+lvAG9yuG1a\n1Z4cVpimcNnUXsZvvFzTWPedKjszsJ0B/ZOYIi3+sJ7OYuXuKK9Z1KJOrraeAuSXln0+C+DQ\nUv4TkwUAHHZpW0X8kFXbsKb74dXpBauijd4PXethPUJfSqqqKvvW891Btw4BgLbF/pbFfIVE\n1XCfh/L1XQXl4TEm5aMi3K2GaIiRCope7r8VtO1NDgAMGXdVi9j42sWo0yVwa6o5nCVhE0Vd\ntozWMRAF2rOU4/6HfNuHMKsZHwjUvrM56+us0H650zdP7G5O4VQmvj3odzpCUlmyIr8SQX6i\n7+PL1+cWyPQcLCV+8sWJPjp8QnMWDVz082bHwPjFYIYdxp/LmZh+MYbX389oWwz+5xG6vmQN\n0uwSVl9dDAAcVicnnA20ayeraY6LQnhFnPBE3WgLTfunm+vRYHppaDqD6TbXi+cJbmi3ezc+\nUb1Du4RWtSuJzhg1cxXXqgMACYUp4d08g1I2ADQadhTx0WuadstweMUBFPIDBpu/up+Jos5a\nPHKVjaIAUFdz/Fn5uOdNOeck5QJF2h1I9h1iCPsbDbuMhLuZ9c1l7zXMlgiaRUkvEEFuc33w\nOZwaj+dZN/voCRLmwWHljzm3kpf62G72zEDhH+zHGOBgBEcSASBkR/Dk5VvlmhwHVc214MF7\nWvW+w1VbZjfV+WCz8rgxwkSysD5zKxb/UxTVb9fH/BM3l5y42eq96ZkEPnKZ/T2LRshRS+OK\nNzqcL6zYd9l13+VWNwc5HLzm2Ly/hSfq3B4z3Pbi9ZryW9M230IQMgEYTBQFAIsBka8e+LXW\nTFzvn5C7rvepgreB+4fx/hVk1Wbdm1hktuUODi8wNvbHueS2yefe9XOZLEBZ516day+AGXYY\n/yUwww7jL4PNrMAT2/pf84XJQYnfGNZAIJBSP5w+m/rofdHHzOL0d0WfhRlFr4sHgLgdWu0n\ny2OxCHnJADBRTqJ5FpKRm71RO9lW1NckAsBQ5VZP2ttQiXHvEQNtjBYki7RyX8PD7wmgIJJ7\neUiKba+sBQAU5fgkrOHd0u03uL28itECgIfcdlXpplOP6ni3xg4T+FrIlIE+0tStTYe2905M\n+WD5zJDUyU+wpFvjWxa0cO/VNpHbz0O390GVEwb5LHZp7jat5Y/n2i7c5jwXAOQ1FiPIDRRF\n/WN87Jfu1iTgUU5NROzgryw2AEgpugmpH0/U2umfM/HZ1t1PLyTmppXSaKKiiiaadpP7enta\nfv/fQiSK+dmQ3MsPNh94efl5fnY5nSlNVbbQc5w1MGiqXtvN4N5O114qRIXeP/JPblo5vYGJ\noghCmTh8x+GRAyhtDDsAAlH/xOqMITfXX3j/4FH2BxJVw8lmYYTzovIXAwGAQBKq+O/3oWbi\nc97EBwAGbxkd73vl502EgfEngBl2GL+fnJTdnpdjnhRmIiLd7C3c900OlMEhXgHU7ZW1UNxH\n9OWIuqhryh6EJetySs/Niv3ALI5KZDE/rjzqffTNo2ImzkBz8NJJe6dpNv7Fr7OQOCP4/ps9\nEy4XfJWS1Bxlt+6I83QAYDE+BMX6nE/7p5qgtWDckcwz/TiBuee7tQrx23PQzP1JsmH3sSP0\n7YdYuvZQkbJd68BnxW3AiQCAs3vc0hYnblyUCfgiFgcAiIJySAiET3oIHA4HgLIAJXFtOORP\n+f87t6/u9uvJ3PbTpgYAjLbUaC9MoU41Jc9NpjMAgM0q2twURUAgqHdQhAAAlswctTX6OLfN\noCcNjFz2eWk4WfB7rS4+7ni1ObxASiFg+refTn43BKLuzamTex49AQC15S/33T/ONezIoo6h\nanLBuSWln/fr+1zpqapdXJT8hdbAHTV1+pBvmAMhDOwdMLB3QMdSZMpAQSXjRESd2t9CcOLO\ng9Y6D1orzBIsLH0uWfoAAItR/unrFzlFY3kSAQDaqGUzamrZHBxOYu6IyLmtw2OSk/MBQFx6\nqDALFqVOQ/dNE2ZhfMGsOoz/A1jwBMZvhlGf2DNmEdvI87LfP6emByUlBg+7+RYAIjd83SIv\n1d0uvnTzea7k1eNOFGPfhytOAXAWr7PdnsZYO/vsQ+/jI8TTZm3qEVfXHJ23O8JZe+DOt6Ep\nB4cPPnp9hk9+GQAEbux3qFBqi8vtM9MCn57vf51W32YlDbSr7k+SzUY9fO9/IXz0Mpfe483l\nxYR5BIroMACoYGvZaNnwPsq0/OzyejEEkVLVBYArlc0O5izmR9cjrhE5JR3pFLcDgDuFrfzK\n36YVEclWot9sI/509Oz5VKTF42W9+adkQ5ar8kmZIasWKtbho6kZH5gu3Ww6f82KMNi6KLVF\nNElLinNO9F07r7JFOuK589ruIf1sTPofv+I8hdzuobwXbpDC4QCASS9+lfmUZ9WpGYdt1ZRv\nq+UvgUCSMVTrJS9gD/Xd7QFS3lKKS8e36eewS7iBGjb8slJjYGB8B5hhh/Gbaai7VcPhuA+c\nZadl6WDmftfjzApNeQAgEUVFEASHp4iSGr2qv1IjQ+xGGsqr1JRv3FlQvm3ZlXnmw2wNRm7w\neDWAVOVz+TVPp2SPY1sGjDNRMh47eL89hfymsKq2IjwqvyLW//A4YzsHs1kXfH3r22VMZdLf\nAIBGj2bn+ow3UcI8AoliP1tS7MUpv+KmIAAm/d3QXVP87uUDgJTCaiUC/ujBPaymCTOf+exP\n3F9H5XmL89mcEJNaaEomJRxdV9VUcaGm7LJvfpmKEZ9yW78dqtRiI1LbGEyqjB9VwFG41bAe\nfDpHd5Z1AiFv991KxTX/1Mr5sNM8qMf88xGP8jMrGdzgg5p3mbdWHh2tvmFGCr3Z5tPotWOL\njqJwT9OVjBpxsmTDk70T1yyya96nosq6vPVeZ9giTARB8AP6hL7x/mUegL8ag4ErRXG4+tor\n9mf35jblI6woexG03fpFA0NEbOAe4193So6B8d/mTznKwfjfQpX2n6sVO36ZVn/jIXa6fRx6\njBmjyr+ogHZfY26jJOsukdR9rnTjbhCCUPxUZKanvAToze3R6ddcSV0ejy9B0a8Z1wkk49Hi\njbn4pZV8cMi6NvrFJF26k9be2TEtZoKHGr7m+fvj295W4RAk68nF17KzO64GEL4o+EzY8u5r\nhrvZjNAi15yM3/SRI3vK1RkA8AS1G+NGmJ9ZbhiT6dGrN7PiyeZbt+U1lqyUlQAAPAmPolXb\nXl7ppWJv36LgEoKInZs1S2//Hr0NZYttHci09L23Y+qJ+kfmOAr5Yn8pCGGtlsKE9PyWfVq2\nwwSJK+ktBohrpQDBr9FT6nQeKaX5T+e87hm7k91klzPqPx28FXDwVgCCIKIkSj2jntPOZJfu\nNiXeTVjftS6HKmfjOqRt1LOa8bKULS53U+5nFOfhRZWs9IebywvlOfqXIiLunDh1Xu8TBxLu\nuGnGLe4mrcBhVhfVVAIAiWx0MPCCIr+s1BgYGN8B9n8J4zeD4KQPLs9753/YWVs9Pf34sFC1\nwaeu8pUUpbZMiNBqKwjB41CUybsktquzxGa2CRflU6kBh1f6J/DgILmSNcdnLrwUlYZzeL/p\n2SbTnp8f+wa87iSKQl5rafqS/fbUwt03/ANu7GF0m3xt5YcJUo0nuWaOlx/MXqlYdif4pMeG\nh/f62a15sTScuwCd3kutZeV8901Y/bZN5jDQsd6XtGBzL+R12PlFIXePKRvPv7Xmhd2vqoj1\nrdiObuuwP7S3wOLuImIj+rV+EDFJD3PhCoMa2W5/7bpCHt82phhFURq9rr1Vp64//9nKozpE\noXKj/EpwePkhvSYtdPR16zvtv23VcTEfsC9vxQUvGyc9KfHyyvwaFkFfY+CiEdvfRyRPVZbq\nfDwGBoZwYDt2GL+ZrxlbNybVRU1aYagz3Bvg4+N+xse8YMqoDobIaQ9mMlYeqaTN4lpOaH30\nl1Ili7abIi1R0LNjMTbfrGsYLioCAJXF29j8ilfKacy4uqyVu5j/wmT/xmYC2rqKlV6fVj1q\nBvMuGcwTtAB7u7X/2PHxRheVHPd04zje5b6Imn0t7ppa+sdZ+rcfBQBrN1W1UXd0Sy1fyV+D\nglYoCTnPaHqrOBzVX7ZtKElLAjQVEj8027J6/QS+uvaYWIVmaTsEnPTf+/ZVe0uOB4Xaw2Pk\nps2DnP44m+7/ioKG8zYX59+9CgyM/ziYYYfxmxGRoEXHrSwVU3Y3NsU1fN4T90FSwZ17Cw9Q\nU/Ihr0JbVbqVd5SEzHK3bls8w8bhpgZ1F2VeuecfR5e8Oq6jDPJS8usXqu6bGekaO9FTgpkZ\nduo8GUF+V36Q/yQEogF97zeUNBvlmyvQIhMCcVn7XZ4vNpYlX06+fPVt/Mfywq/VRWV0lpSo\njJyEhqVuX3sDp2kWAzqOxgAA6yhuCtgAACAASURBVMnv0Mk/JCAMKEp7mnLxzsdnKYWZX2vL\naxkNev1PnR5gwGEV3Ppc6ahtRMS+iRgYGF0EZthh/GYkFYLjppQGxC8bfKWMKqFmpj/n3oxV\n3Fv2Q5yXn3U32uBcHX6m9SDc9hWPpY56Bx4YVcLEddd0OBx0b7iYSIfz4KKXv5Y6OMd95wCW\nuGnEwutxa9UUCZgrwt+NlKzp7MGmswev/t0L6YgPbyLnnQh5Wt5qPxWpaQAAJjN9RNggSYX+\nK8fv8DPnE1CCgYGB8a0gqOCDDAyM/wwsZtqef+JH9XPn1nuorzkl6jv1TnSDo4ACVhgYXULc\njfFDL11s/2PWfPTrV6NM6fX3RbwHAQCCIE7DL14bO+Z3rPG/TE7yYP19RYwdqb97IRgYvw5s\nxw7jfwEOr3Doot/RMtFTjqPIjC+bj/pJd/PBrDqMn8rn115DLl7gtnE4yb49Rlir6ETeDOUJ\n4PFy3cXI6TQ6iqLXbzhPU0w/0Uf4UrYodJEvwcTdE4URO+t+tkumw8DA+Klghh3G/wIcTubu\n8hNuR0MsVrg14GStjSfHe2z63YvC6Ii3t6x6nX/JbfeZ8eGRvcHvXc+3wmHljzywh9tW1nO7\n4rbFQlIUAFoadgSSyfuInPAjw5c+SQaAs8eGrrH6pEfs8McySt97af7Wxzc+VlWy93J2xIzI\nMZi30WE84QdsvLyKPF77a96rbAYTh6fqKulQkfqckqwyOpMqO2h8d/Xvn+Cnweaw8biujI1B\nObX1iNgfmAMcA0N4MB8jjP8LkkrjTgW8LdvOoG0rvO8WZUYh/e4VYfyXyX49N4XOBACq7LS3\n/ju5Vl17cASloHkvV2krAgCLmbPgaWbHah+f7+//rMR/ynGuU0Efq4H3b8zocz7xR5b6ZNkT\n7ufcGPsCFt590tmi7RXpIa9frk4riamMmxWIVjxSsm6b9/FHWBYkqRh6mNuuKV+LuCIa0be4\nl2X5Logrsr+KhnJqd56fYeAvS3YXUw+xW/P4GW+4nbeIU9Zj13BDkjtRxFvJbo9fKp3FvcVi\npK84OMowSJbirTh0f3BO6zxHN+75WS1XpniIa62yW53Y/NIsPMnjCop2n5qi5SP7rIF/LRMM\njL8FzLDDwMD4u2HUPxm7XlfUXeR4TZ3OQmL/x59+94oAAG5cfsVtuC2MksV1/JMWH+DeGP/x\n9vbtjtUufpgc4n92vsVw7q6SWW//e8vDkh8s/PEFA8DKg9s1el/c5ThBntC4DYYgog79Nl3p\nrx1zIKhLpuAyqa9ORdEmbhD1l+SbAFCSs5t769PDJySy6TxJsaP7zb3uXB8+ZNMVr2MLdHEh\nsb3dWqSTTNw/9LXs9JuBzy5MX5z2Onrk/jsAACjLe32fzS/eThwSeW5OuGb5wWEnnvKGvLw1\ndNTpvb36rrrgdcqrp/yGo/YTE9J4d9/eGnqgVjvS9ZoZGfuTD+PvBjuKxcDA+Lt5d9PjRpH0\n9cBTZmIid42Gyknz3xv7xRyqrAUAPEFxrZpcp8Li0h7dSYvTGczaqqMA3h1IZjPZpq19Q0XE\nLdgsPikSv4PzNfWWZnyOvHV7qdYn8E8b/n3o2o1nXg0+WVM3nSr6LDFT23Zi9tNzb+jMXmTi\npTd58pqHmHX35r3McJj1YatddwAYajxWPFdpxdGgPWanuBoQ1qTn84JxAKBrdeTRrqm5iQBO\n5YVBuwrKfZa+X6ujCABOpmPe+Shyj/M5rCLny/E2Y57td7IAgOFGI3Wq9CedmYr2f809di35\nOOBT2AbsCBbjPwC2Y4eBgfF3QyulkSkDHbQtZXG4WM9r4YYqbQQ4LNavX1UakwUAJBFrinAO\nWxZkIgCwGOkdiy1VkfG5dIrRFGXLYZVuOzZPTnXpD621CSsR0vtb59v3X7iZShJpW1nkRxCX\n9lUlEA6kFwHA1pLKYcMi5XC4yK+VHE75zspayxHWFYXb2Ci6yaq5eMnkSZZ1Naczm45WNSzd\neL+9pBXEUZQNANnP4klkM15RYAQnGW6hyW3XVEbms9iulkpltWXcj8ng/gx6cmJ948GrWq9p\nmFWH8d8AM+wwMDD+YnatkLF/kVFTEY64Igeq64wXkXhHsQ6LKYPfPPWJNiUvJJE85S2jXBJq\n6nkD7ycst12pKuouqrbCwu/OpS5P+8TNjcxhlwkpn8ViAwAgndRVW+RzSu6tl1ygQTaLNXCz\nrYp3t035Bud9vH5ssY1EDLUuyvS3OrDqYV5GFZPNYVVn5iesPtjb52OBzbCwLpmCC4JQVnWT\n/hD3ooF2LYWB+ssr+8pQn9//WFsRVYvCSm0FWnklghBNWlSZE5UyBoCPzMbKgRKKEu3V0kpo\nJBGLlvaZvJ48t9FQ+wEA5q1QlVsix/3orD8AADlNRr+02n+/qhvG/wTsKBaj68lLWW1/MJKg\ndy3dY4Aw8ijKQZGOvJCqy4LlV9+kb3/Vpp/NyiF4aN3b1jDwT62givGzmRWUqnCkz5ycYWnB\nwdJUypbWd1+cGZqv7HHedxep9pnXwYDxkfolIYEA8Pae8+BTt8YPXRegp/M56/yK8+OeVsc/\nmjCwCxc2WJR8qqaO0fA0ic7stAwuk/7qVQMDAMiUvh1LUqiD4jcWPkm7/+FrVgMirjtuv4Ou\ncVfFhZoOj99TPdbz3roBT0MRBI8Ah4OiCEIaNXjvhWGmXTRJIwOHGpUfCy/N7SYqPlmLiB9q\nq7Uh4XSO4hNRidkWZGKRjCSKMlPozF5Nr45RlwsAmoSOfmdRlaiMt0kte+orG015oogsALzb\nwexB4q8BwWEbdhj/EbAdO4yu5+SJbZIDr7xx7S+k/IIASecvJT91SV0MSkdckeCyagAQXYDz\nLKn83Qv6/yIm0U2eREBwVBUplfZZKlh19m8Who02sB1m6XNykFF12XkA4HDKnM9d7zX0ztnx\n/uN6jl3ifOzhKOuncaNzWGx+M3wnC3uqAQCKctzvJHcqnPLAi4miAKCo4yFIhneGWE5r6K5m\n62w5fYrFGEslpcrasrJaYfcFOwEhLJhytTws6fisrSud/IOcVm+bfSp5c8X5sb1PvbjVNVM0\noWLsxWh4FXblpbz2HADQ7j2ktmr/6YRPGmYLAEC6mxceQYJe5fDkT594QBF3NhRglnHRtHZg\n0JP8s4sbr1HGursfuE2qtI8IgoSmNid2Sb7t3DN0fNc+FAbGnwC2Y4fxPaAcJuAE1rcsYbHl\ntPVEhCjYVUdniZL/xi8h3t3e3VoEi57701Ex8ic3fU0llSUBpQFAbUV0NpMV0Vvta/VX7i15\n81mcy4v2VdHWy/I54Ps+TEd74R57cVD01TWH3T0+uWspCJKsLDw97NJzbnvcGCtBYnJLOgrC\nQPd1zWEyi/41raxSUc5EUc6E21NS+ORtdujsy69nWFd1yRRcKOLj7SjkHRlFI30NAYAq4y+G\nhG8oqfdzMAAAsqjDPgtt1yO2QQ1bhirLvEjaujSzyNVja8c6pRU3uCsfiA63kZy0rrcM4eaD\n5fck5aAYAIBINjtuZzxpb98A59WOWnpFWRcXXbzqMCGpY4UYGH8jf+PvVIwupqbshvuR0Pis\nZBZFd5pj5DbHIQBAq4hzPxh4JTMVyKpDbZfETvQUQxCUU4Vzk7oxy3Pq8Z21CMXGbNX1STZz\ndsy9/eWriorDQb8z/UXJEatVoyprOTsMjXpcfTGV1V4Jh12Ed++WF3Zx9k6fKqsrNglDDlfT\n0DAty373Xk6xLsk+NO/k5gd5GQhZztxw0t65EfpN+Vrfv1g2/vTuzyyqjf6Y6Hlbeoq0Ot6i\n0577HV56PeNFOUg7WCzcMyVQDv8DG9IoiwUEgUlfEcKuGbu+X7nASRkvU8/EPj7+JD/jc1ku\nm6SgLqtuZTjRa9ACU6nvifTMz0+8mHz5ekpidlVRUVURE09VlFBSltEfZDJydC9nSwWZ36WN\nUZ9z7eXZs0nX3hXn5lcVsPDSKtIqWsq9J9tMG2/Sh9p1h2JUJWr7Tnr9WwDwD9H2b92fxezK\nGAuqzKLdxpsWpHzhcKoXbTJ8Mzp62cDJ6pTWZ7Io89HLiJmxq4pZbACQUlgcKTiEtnRraRcu\njy8VBfus1i3M5PceFLUCu3y6ZTqKI1Jy3dRlAQCHl1soJR5ZRQyWl+TeneP6mnbBfduNxVtq\nGpSUzEPmPlttrtmJRoQQs+IfycPeOy64ruNQ7Ex9Xk+p0F3TmEFm3MyX+6Q8IuOXb6tpUJE3\n8p52fb19ry5/KAyM3w+K8f+Gzfrax5tsfTTm9dfsR0mREgtwQbklHHaVow9Ff2fIs/zM5++P\nW3uTe518gKIoh10JLiAb4pJUWpKRdUxiAY7qZXgi62NZ2euxvqL6BxK5OgMCqI4puYKUsFmF\n4AKOwY6HUh9/rqOjKOriJz4qtxhFURTlWHuS+pw7kF765cPnu+N8xXqee4GiaFXpCsSVIr9q\nclz2h7cZ10cvk5BbswJFURYzG1zgXl0DyqkfHyBucnD9i/ys1Ow7s9bIqkXt7PTZM95sH7bW\nQGohWc5fe9yJrXUcFEXRbu74tSl7eiyhIK7EbsF9Dn0pu3fXTcuHSvZSGHAghM5pHAsusKK0\nCkVRiiuyqLgCRVEW88u6o2NNlnUTWSTbK2LKic8l3/QPUVl4bcxqGXCB9h/EVWRB/H2u2IjF\nFG4nNSCgA221ZY8X7zDnq61JJ37QwdVvaxuEWVtXauPQL9/1UXEnCFJFDRpwLLMQRdE3Ny15\nnX0efOhA5cM9ury3YbSQ2O/RR257sLeI+ZXXPLGPj/qRFpmjKFr+dQG4wMM6ujDP/iOwGJlj\ngyR4T4FbIG6wxpbbll7lMGLrAB0/Ud5d4kLD21U0ITVz2HVfSjOyywuZnM6FhWfjKlmKj+Pl\ntGcJbyLwrsjeT8+Tc58fvT6TvKhXKp3ZlTNhYGD8NDAfu/87RRkLX3JM7k9fZKqg2cfM91y/\nCVU55eWFfvcbZO+5Blsra1sZTjvn6pyaMI/nf+S+MMJMVk5Ha/pcCTGt/kemaunJyJgGWmiW\nf261o9CxEonJB2Yb2aq3Lv+AcmpnjdtyasxsfVlVA/XBC3UUKvMa3ddQtH7Dkv0OmgYmOk5H\n/UJLv6y/XUdvnutr4JVa5SdzllkqaxlpOu7wDs1LXZzbocsUvf6h6Q5vEdPAW0FPTk5Z/E+C\n//iXWdxbYbt2Lp53L331g+Hwfv767q6flE4HJN2e6ZH4dM18wb6AyzdZbM0mL5924pHv2Tlq\ntTM2dL9QVSfMPwEAfEldq7F69OX8cr53UbRh78mBg89cEFJb4cdonRX9ol93dMyEoux7j9dY\nBJmdKujEQbALtaGcyqVRumNOReULzj9SU/ZgZpjGgsSfeEZGlVosjsNtfJXF6/n82sVotXkx\nm9O1E+GJ2qdW/7PQUIt7yeHUpn15wm1XFNy9nvogs+kbIiZtf3LFoyESne/LcthfQw+PkFtE\nVVuqqxXYTcxbfdq5nTS0a85hD5dWmzpHj+5u3a+nn5OYyA1ErZea1QynI4eMqp2P3e2SKTAw\nMH422FHs/50vSWniUkt4XueOM047AqTGvxOVmKbSlH1eXmsWi3n6ZQPDmgQAYN5kjUngEDnd\nxpMjokjbuL+iNP5KrIgAACPVZdsvBsFR3e3GXHq+e3feh49FKbdTP0sbNd7C42XnS4k3zivr\nKYVbcrm23qHp9K885w2L9VnVh3cayEZR5hs6U50gMF6QXne7lsPxGDDFhkoBdbN4smYBtfEM\nyHL6WZceegCwcrz5oV3PHrqsUiHgQDnE+UR41ucyUJdvr622ckv45/Kn245YixABwFx7YOkr\nyWXnk8bNsxO0AB5luXvMY9ZWcZqtChExHUs1fUURyC/PfPHlExtFAeBe3Hhfg9xOtRV9CjeK\nXFrZQhuCIBrKFnqyahRO1efS1DdFX3m3mPQPM9eZs0Jez1CQ/OnaUObyKJNNH/Ja9iE4il43\nIzUpmZrqvLT89GoOBwBQlLH/aO96c+VOH/b7IJCMzgw0G3nU1q185XAdo6qCe0EXDqnbX1T4\nkbN7AZAoJjt8P41/Fh15J+pG7pf2AmRRvXkO/kuHz+/gu9qSU3t6b8rSCHOJH6VrIonUpmRc\nW3ky0JqmkTp7xI+vtoDFVpUV47ZHi1NikvNARwkAHMf0nb1xGcwb9uNT/BrKCsfLrbrQsBcl\nY6GuGP8/MMPu/w6HxUEQvkEAzT8REQQPAOzv2RQQqESBX2gFi/G+/1LLctXxc0wHzDaZNkN0\ntjeNjyoAICAIqUUIJFGUKCoxoyJiv/Aro0oHzNaMHRGoPcBkiJ1OnyG9xg9RarQ1VbUaGyRR\nEpHcU6VpqdJ4XKGAPZ3KwtsoyrLxavUm5T5/5S/dApRTPnWLTym7cXORQNRaPfvAEusBYk1P\nV1X2MuzM3LCkFACI2T1AB+nID4xJf+cQvaKlHWZjszJ6tI9NCwe4/C/31p9fsCu1sSYpi5nt\nFjbFKeKGTDvPtq7VlnJ/TFgLqw6HE581KnrZgOn64o2pahj1OWcehnle3FfF4aAo89irz/DT\nGD756XEJ77CEsMM3ahVk9SaNORI5dNRPmw0/yMZ3kI1vdWV6wqfHGeXFZXWVeJKkrLiiiWbf\nPur6pG8xPvzffQld+8ZTnhvkIWNnvvCyBkd2pSd0hWE3TEzk6b370GM2ABjrK+a+ugHjLQGA\nUV/DYnZSxBYDA+MPATPs/u8o99KsfbGfgc7k/naJP9gnBB9xcZBx3bmThawN3Qg4ACjJOUIg\naliJkACt70RdCxT1BSgRfN71NcvvNbtvre9R7t7FnbtM3i02u/RQJW2ulBgA1JTvKePAdAlR\ngAruXVl1p/qa0I/M3dxIi4qijWOOpyf4HepgeQhO+tCK/ICMW3HpCf+8P7DhvOeosY/ODbdu\nJyjULg6RQsETlGgxOa2m6CzZLAC8uD4ijtbAbROImufXvR0tI95SQFLWcqPHO9OTFlPuJbGY\nWR3XJbh9bHwqvfmlTZny+OTgtgUDVNQG7fT51P9Un6nxjWU062pujbnzLnFYz5+njVH/2OHs\nHd4lgaB6YHnyLLVWu7YkiuaMYbudetj1XD8n/1syj/Rf8Km6qZ26o7mC+93oVl9XvT4J9D5N\nFwhhitPOKU47hZ/lx5GQ6j7SqvsPKpHF47RaOzCQKLoAXZPJbuXwPiZn5hiFX3jrf9nAcUxV\nYojLbY0JSqSYY/HiUi7fq5VTw0G6MCDml+vHwPjLwHzs/u+oGu7Q5zxxOL33fVneq5Rdk58/\ndxyoL6uyxY5cPPhg2OuvX5I/npm894Jx/1iB2U0EILwSBKC6qJzJ4ohKd2cyUm/l59fVFd79\nZ9XU93kNtbm8jUL/KPeEL5lpOXFztixTNthq1SLpq7jUkvly0D/S92Fu5qfcW7O3bKhSmtnx\n8oo+Ri45t9VY18lnRNi5Jc8fj+p5487Gb3vCFkjKu3DYX/dX0skEMplAJuPxi6IGLUrJ63gU\nyqmaebM56/I0t4dtrDoek6c8mSvDJ8CzJUz62xnPm7dVdHufbG+HNYFMmfLPSo3mM+Xn1+bW\ntfbT6lptLy65fm1hqy1f8ryNVcdDRnXGU09PARP9NTTU3rbdaGu70Xb4/oddqzl25PCFuwL/\nKW78k6ay+PGyXfP1baO7RHkPh5vHx3pI1H3kAEgrbdxibXrg3Jzh26fFM7QivVZ+kyo7b5ER\n2YUnLs7pvkTsSE0dAMQ/XNZ7pYqou6j6CquAuKu87weK0nacmWG6XEHUW2nUsajnD2ypAY2F\nNNisL6HHxur5y5DcSNL+uhNPhFdyUL762czskMNjeyyVF/GSH7jH732LP0gwMP5vYDt2/3fw\nRK2E5cfnHw+zX72YJKHnMjV+lbocAFxddXFB7FL7NatRssow282HJg34Vs0ITlJIJRMsrJ33\nG/ce/OTVpK0x9p8XhOvTCN36m3ncW+I3YKubwz3bi71ATHLeFtP6mZGmZTi5voZuj+YubDPb\n9uC7xFj/WVt7VuHkB1qFJEwa1PHyyBKVUbfX0SSVXQxMOLSPW55myqgu7HhIB4iIjYwwUA4M\nG0OaEmStIHHzvteR7Pp/unfreFRRhjevRJIodfKBnuoCRRHSxgVzYsNiOtCWk+TDc9TDE1Qu\nzpzQ4eT4IM/oDYHTuQ58DHrS8oLyKJVmY6srtaFM70cZPFEVw+1r9Dt6M6rGUcGqx9fl/fTs\nHj8PEXHH19nD6SgqXZsGYN8lOrWWNgZhlJdf7bciRkxUiYrUFtFqAaA7fQNAFxzFAkKY5rRz\nmlPjlY9L0pSRrzPq8YZqxrLCuQC2JO3h2DC6XejcS33FKG/iRzuevjNpeNhyPZ2crDNLz455\nVpuQMNYOAC4dsVn8tCJ4UqS1JOfszYD+L6qIJEuuhiPb+4Z+El0zZaeFrGTelzuLLyx1kh32\neKhJO/0kvw1W2wtwPs6h/RQodxNChsR07gWBgfGf5XeH5WJg/Dau31pkEiRPXECU99d2Orgi\ng8FCUbSbO35aYRlXID99GNmrL0/exU+cl3ejfboTNqsw9PAoVW8xkqec6eapF/LKO13AkXWK\nvGwXljffdCLNqdP1aM4S0j7dScxKWd5d9eiLwryBZUsleUN42Wq6XFtNRXTLhCabS6s6VVWU\nObflkI7TnfyZTPARBRcge/XvKoV3398V9PE5GdRVs3QVfb3I4n5zuNlY2OwSTQ+C+cV/eHef\nXLLELZD6ymIzGl6SXZExr7K4/Sxmroo7Xtzfk3vpGTPc7dEn3qjIZVLdNt5or7+8IABcYG7K\nl0Y5Tt3EJaLgAg1dmgsGA+NvAduxw/j/4jR0u9PQ7W06C3Y1Ryco699s2NZ8a19EDa/NS/Rf\nt7dxWwuHVwqedSV41jcsILywOb/JPFudTqQRyjoV2Sk5ArciokqbCwMMHd95NC4AzB7RY+Ph\nR9x2YdolgOZRXaitKO08T0ZEdFCAENUdFDS3yOGP8GJK/kZCx9ifO36TXp8QXVq9WK4LCloM\nNhwMAIDWX395Iq2iOa0Mk5617f6xrVPCvlvz1L1ThRE7ueDkN6ntZjSPm+K7tmJbDpPla63C\nK/WhaDmVc80vtpo2t3oTHUU39FDj9uMJahvkpRY1+UbGeN4AADazKqckKy3/WWw1Dah89Gc9\nvUMgau81Um28gVBWjzA5e+rZN60WA+M/A2bYYWD8Hpj0pHdNnkAIQppM7TyHmYGZKggw7Jj0\nVy0LBswXrjRWN8NBAI2mWH3NGYCIn6Et91Vzmg8pJaHOuxGc1Eyq6NbKms5F/1QM7C+Hvuu+\n8m12yFbPqWsPdVUulasHzCa/pwzRlr3x9t4ws/F4Zsn1lESXCXc6HymYtKK0LllbG6TVpLkN\nbqkP79Va3q0FspnsmuJiBCEatKgAqyInDk3fl+y32+Zd2JJYkCshod69m6kKHt+yJi5PP62E\nRiKbtawTo6AnsIAbBsZ/Hsyww8D4PdDr4nltkohN+/wg7elmrAwXX/G9Ra9/wmsTCKo2wtWx\nFaVOAgjltlmsL/ksDje3S9dq+1zYvPmnZq4vjCoAGNZN6q827AAhBnumSp0c5XX/aPeQipgp\n66YZ9/px425ZclZ4aPkiafGVSyVFJh9cIUN9/3j8pKwf2tp8ver1D6+LD0jTV5pAUgSApzH0\n9l+kwmoqijI/MlkGTZUDv5Y1pjhi1Cea7FhiNCAqzXeuroQ4AMQGy77lp5+qRGUkv2G3iA2u\nLa39GU+EgfFXgBl2GBi/BybjPa9NIAgOm2gBkaIk6Babmc1r44naQq4BT2x1/pvBZKkQSF2u\n7UuLeFi+xVv5QlUQhw9Cyv6JHH92HACkdeYG19HWPbs2M+raAnENSw0TZXEZKqkjQ3nfrH0d\n3M1lsm1FyQAwRF9xdU7pChmqgc2uj8ftYcaf+7KoUovFcPvXvc65atto1me+mDX62vvE1c9l\nlL3wyPXg9/nnemkAAIdVEFxSCWIAALTqgzQOZ+OYBbqiZAAAlHGzrgHE+OjXshnGurrR/UP+\nPkMVAADgRJ//KaYqBsZfAWbYYWD8HjjsZjcpHF5g6feW4PGKArWhzVsUeIKw51AIQpHG4Sqa\nol+rmxpdq62hReoTigRFSG0ikiJCSv6ZzNg/o01Pfe3nxNTOsy53bNjNkBALun/7nKOTuqVO\n6tVzYB7QUJuIoowOhgjPjvs7+PYjOIKYiKyOkmlfDd3vyBdHIBmdHmA65nAfz/JVw7SNKgri\n/M6e0B50TQaHA9EhsdZ68/bYb5i6yUqCffZWgKwEpZRDAgBR6lQyctj//Lbt/RwaqtOP3A56\nSGfQqx5mlvfXkWll30kphnqr7t2xzVJu3Lp+CuIJT0JjQQ2gk1p5GBj/VTDDDgPj94Agzf/7\nOGyhUntwOAJ/V+GQ5gR4bFaxsItAWdUtra6mchddq00S13wCWV8tbI5rRm3XGCv/MULcQ/pG\njR+nlH7bOFp5f0/VkNOEsncGVqe7RvmVEHpdeQ1HYA5xeZVRZ/3P2It/s809YsqzwxKemxPX\n7b9KU5TTnzb2eMSQxgJlM+e/YUrP3nxlwQaWzKzR50NfTpha0Q0AyKJDXrqud7myfcjjdRoq\npjOHXVyLjzXbF+mw3z47cHhr9fgty59KHPU6cM07kkWyNnZJ8u+pG/gtcUwYGP8hMMMO47eh\n7EEYvqbkgIJ0l2ue6Sv+ZeqbB1adxZn+VnCE5lxuLBafKqLtYTEKBN3CEzV5bTYzS5BYG9is\nXHYLU0yViP8Z2nRb1BGu/Sqs81Ntyd/tJhU2/vvDVDtAQcf3Y7R7JYdMIOCfbkw6nfSQKGE8\nqVf/LlH+MWCt3lqvgXar/Ps691JQoyDMvJJ3lx5FbkkjnPeJkSh9FXHKbeymleWh4Z2q+mdb\nQ6trhDB9xO7pI3a3EWOzvux/dKOH09G08Y3H0743qqW1LbjtHlbLnlotayFuXr4zhq9+PFE3\ndN7N0BY96L5OUpRjYPxXCQFAMQAAIABJREFUwQw7DIzfA0nEktdmNDyr4qCSncVPFH8UaNiR\nKb15bRYr73kD01qk84Jm9bSLvDYOJ9W9yYG9a7UpacpAXgm3/SXpIwzp0akqAHiYXyGM2B9L\n0LCgrlVIo9PwRFE2sw4ASNBAYwMQNMZbzwKABjpNjMzP++wbCd22VNL02L3ZU3g9MtRuPbWH\nGO3TnXHwemGQV6w/S8x32vOG9dbCxdN0Cg4vd/j84qK0mgczF6qQWP+8WBtVVbtpnFmXKMfA\n+H+ClRTD+Cthop3LfD8oi/VT9QMAAEVsJLnpsBJF6Wdq6jodkvlS4MYekWylRWz+O+1AWbUg\nyZZ8/XSV1xalTuTZlV2rTc28OTSkolCo8qwoSttfTRNGEgC+pA5BXBHtnfeFlP9LEfcUH5yY\nLu4pzvfTJVPEVtTq9O/bvr+PvV5J9loAoIiPAYDHDV12So4glGuBscbFWzQWixE8JIefveY3\nPTFAUaqr9GNg/A/BDDuM3wmbmbskxkZyIVkuQH/hrbvczrqqhwu22yl6ixE8xHTXDopKyeXJ\nK3sQIvPjHFbIkt3wcgH6nncaf5fXlt2aFWWnspgiG2C0KK45p1fm2x3DQw2lF4nIB+jOvLCL\n3mSuMempAXsdunmLkRdJWW6Zca24mqc/NHW3sS+V5EZSXtnveEFFXJyr1hIJEW/FQbGhjKbh\nbNaX0GPOmkskyZ6yvSKnnMz9nuJXCE5mtkTzLsv+59kdCAMAoKxVn0s6uO/TItvc7QuPhFnD\nqSvN6SMUdKe0vNWF2uQ15/HaDXXxEUKYiaVfAgpZf3F24p9BXnjepd66RZFFfD9dMoW9KPlj\nfFz7/vi76USyOQDQabcBQJ/UlUc9MqpTr64sqN/29XP419otaeH2fCxLDAwM4cEMO4zfyeXo\nkVTLkOdr3kQPMNh9YejRmjoAWLxx9NV6y+M+iUnL7rprlQXs6NeyonxExJy+I499WJ8SM8Bg\n5zmHYzV1bNbnQWvG3KRpxSy4e2FmcMbd8Rdp9QBAr7/fa4e3uMWyu8tenJnqfeuO16TkHAAA\nYLuvtdv3WTR6wa3HPqf64x6NW9s3rSkfb9juvb4u99NXP3Bkv5sdqrcoW+1sQNKt6S4Pn6x2\nL2g04JZtstiWIx7hev2F/6X5ajUzNxhcqRE2JqAlrrbNmURSb4cLdFkHAIDSLyuT6R3tlAwb\nZsJr57/3/MBgdSAMAHXVF9d8bY7GGOJk0vJuF2qjUCcPEm12t992tPMCBnuPnu9U5v+GipSK\nPJmgKKHI99MlU2yZOuXz2/lWe5acTklIK87KKk5LTDnjv7f3rNfZYyfFVJecnh4+X0re20m0\n6wOWRSgK6lIK2C8kDIwfB/Oxw/idqJidWGvbDwC6O53zuEJ5UE+fSaV0H7BiXD9vBzERANAZ\n5RqQ4JXLYvPyl8r3PbvGtg8AdHe64HmVfL+e3ifdNYkpnRwQ24NEAOhrqd5ADXQBAHpdHI3D\n8ew/yUJcBFRN4hdpfpWUAICq0pDYkuqzkafHUykAYOb55Jq3uvuLrAd99AHAZva5+cbaALBq\nrOmx/cn/zA9WwONAef2wk1szcitARa62ckvE58qXMbHmZCIA9NTsl/tSYuml5NEzbb/18XsM\nDSXcdmahKADQqo54pK7fY6zKXxRlBe/a1bE2Lcut1COW3JBGFuuL8/FL6XMnCBbnbI5xZzZZ\nzCRyrwi1VilXulQbsmlAd6sbb7gXX1Ld12aMWaUrMCdfQVpAcI7Qobh/KkLW6eKC4PBEPFFM\nREpOQllTobuFZt9e8rJ8JVFOzc2ki5+q2jogLh68+PvX2oS29cHnLPW5F8KnvIzidZJENJdM\nv7elr35OsscrfN+LSzb++EQYGBg/D8yww/idGNoZNLYQknhj6ADiN8QtPvnMpvz0nNKsl+nX\n2gwxaspxCghBCocDgM/PM8QlPXo0HQ+JSc3rQXIHAKp0wGzNWIdA7YEmQ/rq9B3ac5yjkgwA\nFH96SCT14lp1AIAjKHlKiUc8+wx99AFAS70xSpckSiKJWPAqQcngcDUoAEBl4W0UZVp4tnIe\nV8ju6JBUECLio3cbqbik5nEvY3c6TNiQ5CjJp7bYhbP99rQo3soXItnsiIXW2BeZ3MuPjyfO\n1np+eIAVP1n0zJl+a1oYT71HHRVDWoVudK22Xk4HVe/Y5LEat/1Ct9jorkiepsInILqy8LRt\ndFT7/r+OUy9O/chwVfUhAaO3ePcybtO/bYuBfxZqq2si1rpGWZcYdgBg1SckxXZZas6jlOK8\neg5BXlrXVs9SBo8DAI2et3JMO4+hwcDA+L1gO98YvxMJcts/LdisXKflajNunqvFKw4wnb1r\nYdvECmJEfJseBIcAtDIj5PF4AEBw0odW5Ccv2TdcTfFtyp7+q5Qm3nrOG9RSnoAAh833IJRP\nmCqRIoInKDXsamj5+bJiZMdPKoiZbifVCY0vgclIH7nCPCLpCaNF6EZtxZuVe8zHxz0FADEZ\nNV4/DsenhMOI2We7k5p/9R45bt0/dt3r8laFuYoKHnpGd58c95jXIyY5+oojn0jVLtRGJJvf\nnjKMd8li5s5cq+ly40hmXfPhMouRf+aut+6a6bksFgAQCAI2L4WjMOfCgj1DNPzlyG4UBX9t\np32Lruc1G9+3d+kgrojW9pvtBw5dTEFckenpjQHI9VWvVh+f0mOpspiHSLel3Qft9ryYmdt+\nVJeTl3tn8fYefWNj2ngarsv4GrvuY4Lv7ZuLb7b8dOXcCNlYa9Bkm1lzbKeNMLCWabIgERxm\n1WFg/AVgO3YYfxYVhf53KnBlGy5L4RAAqCnf1OkQDWu92je7PzCWG5IIAECvi0usp/cBKPoY\nuektsnWCr7HeiCUAzy6aDrwdBsMuKOj2YzLCLtXWO4tTAIDDLt5eWas1VEPIFUrKu7BZVw5V\nMdxkqQAAKHNWhD1l+Jk9Pb7HECFR7P7x8NXdHs5AUQBg0NMDdvVZLWnQW01fnowUlGc8zXnP\nPeIkiZhd8R45OKQxVxcOz+eojkg2u++9xnBLcFVTjtnExystnoToq9voyqiKcKpyS1Nf5Oe1\nGkLSP7TsGN9MK12rzaj/hWVJ2hvfN8pzONUHLs6OvbzIUNVYVUqWVp3/IS+lrClgAocT3+x3\nwXeTtbDvsTWvE9xtju1loiiBKKuloFJWmnPz+c5bLw76zE3aYmsIADbjJkPSxoK0pUx0OLHF\nYmsrd96payAQ1WP0lACgOHO3VYRXLouFIERlOdWqsoz7ZR8fJO2eMeHWkSEOHa8hZU0KAFy6\nNCb4deOuJ1XGZIC2hb6csqSIKJNR/bU840Xmg9cl5QBAIKh6jXCT5NBraMUZxWmP0x+XMFkA\n8Pixdz9x48cTB/HU2oiQJElt/7bBwMDA4IEZdhh/FmQxCw7nbFTSP/N0VHLz7oee2goAyaXF\nBt2UBQ1R77nHjKA/MHLBvrFu8mhB5CkXdQIeAMgSFdF3NtRJKi8wMuXQ0iJeZMuoegOApNya\nWXI75m6eAdMCtUm1R6+7ZSD653rrCrlCEbFR4QYqfmHjSFODrOWpV+55nPrMfKb3/d7raj03\nvXZhm+/fQm/yUaurSrtXldZSBk9Q2RoQZ0FuNnP5GnYA0K37stQlZPPowOImIwlF2emfH6fz\nq2VFppidXvlgjKzA+q1dqQ0hrl/8jrXVJDyt2RbkcGpTc5+ltt4CQ3AUjznPvTUpvoKW1SG1\n5Yf7Ht/LApg69vTOYROlcAiHXXb06pw5169FH+ozwKRgtDhFSiHEhBzxjv52U3l1cIv439Rb\nuwBA1XiHDA7HYqQ6bPXOZbGGD47eP3ahMpmAcmj3n6wbd2Tz0bOOytqFYYLdBAHAWNn41Z1G\nq05SYcjWGRGzDU3aH5GkfTzud8zzRmFe7LPX91acNBMhAQCHXXHhXsjcc9trOZxnd8c+GFk8\ngELmyu/zWGWycfzaUS7dJSVb6hlsOPi73lYnoJyqoH3DD7x9qWx9/93s749XLXgfFfWhfPP4\ntdxLrwDqSZF9paFTOh6FgYHxHWBHsRh/FlSZoOvj3I6fHtt9tV1g/KMgn3fOyooz1xpXcwRm\nlsMTNO6tujCIlDR9m93QfYGKg66vk5UEAGmldVfHezyO97Zd23PEPr96fe8E79kAAAhh36rE\neaqVbjsHWkaMi2fYXFj12OhbMjj4Ln4RZCKy6rCz+eaRZ0qMzixPNCP/0CmVkXXEJ/+DA+Ul\n+N4Vk+p/cc37heqyHHbzYSKRLDB1mYqBb+a6B96mHWV5RRDSMPv1bzY9HSNg0p+hDcFJbfbN\nvDR5sTJB4NumUG0OB2VttzXseFUdcPVQcD0H1bY6fcJpEnffF4eXne18dYehKodT6XfqHwAA\nhBRpog4Ax6+/azl29ZMMAJg3qR8AvL0x8x2dqWkWe2OKtzKZAAAITmxQ340PJ/UHgD2xBzte\nRl31+UHnrwEAVWbS65Abc/lZdQBgoD/9yqo302SplUUXBq2bz/2e4/DSExyjX7lMAQAOp9r/\nfrOV/+jpmfKSW8FnvebEzmn5+c6X1RkFH2eGv3wye+LBbQMNOpcWTHHm0cg727tqVRgYGB2A\noOjPz8SKgYEhBCin6s6Lw0efnnlemJVXWU6VVNWSMxzbx8Pddjj3cDM/bbhq5C2usEG/Rx9m\n9elYYV5ewsXky9dTE7MrC4uqvzJxVEUJRWVZQ8eeo8aYjjOT68Sk+3naGPU511+dO5907U3J\nl4LKgiomSFKVe6j3ndx79nSLQZ1W4GjDl9Qh6lFxWmb3shYOBOAYLBJJZzD3R9TOl2xVjKGy\nOFh6xXoRsWH1UTebL0WH1Eff5grQKneKBywSEXWkRd/BAcz3Fz9YRYvYXOMn3cqGZjFSiItM\ncHiZ6l2lbWJEWnJzp7bT62wACFlTtlpZpuNHqCjaILNyBQAMnP7+3gCeUcu29xZLqKdLyq2t\n3LiS2yXrjl/sm71KX12ApmY4LBZOsAHdKcx6OpFCTnvY1/DY48o9nG/9R2lD8lULi2vZ7D3l\n3Etsxw4D4+eBHcViYPwpIDjJoTbeQ228BQkUpjaXFFM06PzwV1W1v5dqf6/vjOv4idpIFM2x\ndv5j7fy7QFdrmPSUdAYTh5NomfyZi4TMQoD19LrbNBQVQxAp+VWm5PDkujsHq+vmSYgCQMqt\nXQBgMDAMBwDAOVldBwBPL/m44tvaNHgEYbPLXzUw+1MEVtbakl4IAASiZnBnVh0ASCst1SeG\nfGQyX1yPgQG84hz4xYpSCTlfG2g3AVYCAIrWN6AwQqObID0cdhHevduklY/lLnjse/+WgxfT\nVuu7ZMwuD2MtnkxR5onFl7fEZaWwiHI99UYGjQ0b1a2x0kNgoMRF3WuJg1Jczm17VhcSg3pO\nLSoDACk3nK7Vw08L+nc8HABevwzzv7H3eWEeSUxzsPn88En+GgT8qiDJ0PJqAEBcEfPRr1+N\nMuXJJ1+1ML/67u32Ol5Ue1m+t1xIzKJVJdtb59/BwMAQEsyww8D4bdDK36VUNVYSE5My6SHN\nJ9FJSx4mN3un9deR/4kr+2ths/MAAE9QJbTbYMIRlCkIUo+iX7hpERFSRE91hxcZOx5+nDfK\nFABCnmYgCLLO0QgAOOySehQFgHOPDwiaq5jdUW0Mbt0tIrmncJEOOFMR4kcms77mDEBz1TVZ\nOXHI+cqkv+deIgjlwjBH512Bx8e560i02kdUkVLhtW/vdKyv1fRw2qiOK7nwcNeiaKOK5bnL\nNeUBoCQnXG/zUrLyyCWj5omzCs4/iBq79srBdemzmjwj62puWkWfHj7QJVLT2lHh9qlnc6fc\nehe39Ik81bjT4Z+ezLOIPaRhNHOlXe+G8sTIuOUPssuKV2xe4Bmvd3/GnEcFj5fGiUnrt1y2\nvv0i9Mr8ZR8LrvZo3IN8dO4ygai7SZW/CykGBkanYIYdBsZvoyjTq/feh9y2SvfLef6jOxBm\nMzPWFDeWdsDjZZdIC4x4+D+Dx6sAAJtVwEKhjW3H4ZRybbVu+EZby9J5GrxYm/4wBkYdoFXu\nukVrkJQNHCEmAgA4vDwJQRgomruLpUb4nihUKg6p4wCTnsIRypcZfUdnAgCKtjIWmQ1MAEBw\nzbuPw27cBrhtn9o21R+6r9mppqYCuRr2zElaDAC8HGfbB1mF7QheHr4HABbHrMHLzvq86iD3\nENl7yJzevsZ+MbtmhQRyxxakhW1dXeaj2rjL2CuTCgBWWjbco9gOhqOcilHHjsmoBKcvXktC\nAMBjrExez5PhR2pCZqlZmkiLARBstGzaLFtUYp6j6KLnl+Kgx3wAQFGab3qBqtGlDs64MTAw\nOgYLnsDA+G0o6o3htb9m+RWyOioqlnBhfE1T2hEFrXDpH/N5+q9CJJvoEAkcTuWxmro2t2rL\ndwEAmWLPcxeTlF9pTibRqg7G1dFTbu8EANsJbk3iOG42nGu0hjZ6OJzShx8fJma8hQ6ZIE4B\nABYza0Nh2yoR7akqjvzAYAKAKHViy/6b+RUAQBbp3fwU22vbf065Xmw5SklnN9eqAwASxWTX\nEOOayr2v6MwG2rWT1TTrySE8swlP1N1qrlleuJHVZBaKio/jWXVt6Hh4VWloOoM5Ya4XqemL\naWi3e/eM3ar4Tszi1RaaZfnLyzkcACgvWJ7JZE0c34nzaEs+JHqqLKZYX3gl/BAMjP82mGGH\ngfFDNDRU05qSGyOuyI4qmvBjxaWWTKA2Hr+ymBn2h3YwBcQyvX3mOyy+OX7Tb87Y71zufx/c\nam1FANhw7nabG6eP7wMAFaPA5i6EEG6qDgBrX2WHPMnA4aR29GpOZ+hlrgEAEafOtdHzLn7s\ngPABE04+7XgdrgMbYyA2Ry38zOro0JbNyveOWsdt9xja7GFZWbQ3urIWAGQ15vE6xUi4B29P\n7X64m/eJuRM47cDslgrVzE1bXqpb9gCAOFoDvS4eAOK2ayKuCO/T7/FHDqeysOlYmSw6CATQ\n8fCKvGQAmNgihoZAMnKzdxskSu7g2QGgh9NUNqs4uKAcAB6dv0wkm4Qq8SlJIogDV4+YuL1/\nPs5C+CHfRwP/HOYYGH8cmGGH8dfAYqYhrkgak8VrfKuGaYEy7sWVnct9C6tWqY5Iyv7u4dvc\nmytBfXrmrb5h4s4Xtz+WlzSwOSwmraQyKy7p0MLtZr32b2U0BbBrmu3xU5QSoA8DnOeGkBEk\n4+mEOXcu0VAUADicyuP/snfWcU1+XQA/z4JtsNEtKaIoKggqdncrBnaNLmmUUAQURRAwUFGx\nuwt+tqggiiiKUoJYhNTI9Z73j8Gk67V9vp/9sefec849zwNsh3vPPffKLIvUTzic9LbFo+sL\nG89cCgDPzi6NrWYpdQ3rWu9ckwGmkaoEfE7SiunnDxZw+QAAKC8u0XfYuXgEwTmsauXkXACA\n3hPODCSLAUBl6SmD9dOOpL9tLmhHMzKPz9zY+0hROQCQKEPPju4JAFxWwa3E4OGB9nwUBYCV\nZt9msK4e6Dfv5M6HmTFrz7k9yH7yKP2q79U9dNMLDaw2nMxFcAQA4AAAjgwAs6xuPVn3pNFL\nXnS8BNJyomer6gKeAACIHV9ClZLz7E0ixlxOQtFql/QvGn1DSe22sWmDxk5G1d09/YZcfJ6f\nHjnBX1fCWkzGWX3msUBh4Ziw9fI9oh+K5O3daINuv6koujpvS2+atZisW0/z6+eFPxc28x5i\njrDrfkgJx3p13X2Pz8vFWYiX5UUP91Wekf6lo7eGgfFLwHLsMP5eUD4gDZaBuFw2F75bfR9W\nNYcs0eKmyHai0n3ThcnP5sTcFl4W5J6z3dd4iqg+MqqL4ixW/5+D/t3Q5OhxZvFDTh06fHb2\nyWsq3WSli4uyvnJ4CEJxXBE/u+6MYCFS8usGkAOfMZMAYM7CKfW7SJSR8VbefXf7X4tdrXbb\ntauiSnX5+7xqJoIg06bf8OrSxl5XPEHrimOAXrAnQyAo/xq7PCTWUd5wtM6A7nIqNBKJw6nM\nL85Myrn3oqisTl4lwvWSGgEPAOcDewu3owKAcrdAv3ozWGtf5gT7l9rKUH08pcgLDnrJ0t7G\nm87PaTAj+PnFaxir3+ASYCSFRIFJAEFlfG0TbR1R74fX5xM4cibabQdTFPHW1KXVugE8uMKo\nGkGpfTI8bqb1yWC90UEu6q3uhEDEgnqozknzKsob/o7L85vd7HnEzbNuw8d8N1qec/Z5ZZqe\n3eBu009lDBnBZCSZbZ25rP+KS3pdZs7sv+7IFoDhAMBhxu8ur4kdJD153TxO/+AndNOawmsL\nd5otUEg/M1Cn5UF4pnuvOC+LGaLZYo10DIzfCmzGDuNHwayIo+8Yob5GXNa124oLBzgofE61\nIdkP/MLjA0BlySGytcKtalZ5wQXTbQMU7CR7+A/f8ORVS7rtH0XAL0DMkdyUDcq2ZIK1ZJ+Q\nZS/YXABw9FG7XM08FqA9/kE6ALi4S/Y5U3t0bLi3LMFauQZFAaCscA3OQiyTy2NVJVjuGCJn\nR5JwUJmwf21O7ZwNGzFHEhmPZ2/V77HnvqW7dAijKi5KTzXgutAUqyphblB3CWuKuvfQiIyC\n9jyo2XNuxZrZK7WVoY8g+NFD/N/4HO1cLv8/xcAxB3M9Tq0yGqNIYGXlZ/MpapMGWF/x+RDa\ntO4xQtjaTxMAiKQ+wU3qa2gabPjod3PN4BnaVPzHgsxKkBnae+kBx4wr0yc1ttMcSt3cUp22\n9awricIofnkxMWrLjY3eF702Xg+KSrwgiupI4ob73VMsNBo7IKO64KGze/2Wj1z+YHESAEzo\nrnQntxgA9EwiMxMc68vkZ1neYtSmGHLZ6bbXX0nQFo6kiIlRRi6Xknh2yrWoblWRy04ZH7nQ\n5W675qJaV5dWXK9MwB+LjhLFmNmJjvsf7ud+++enxT9jk1mTOezkZQePkSiD1slLtSTWCgK0\nwmn+jqMTZqtJyutqTFolJVFUWAkAavqB3JobF6tYAPDptQ9VxsmgxPOZoPudJXb6cqoDelmc\nn2bw3/l9rVhGUW6PlXtnd+un1OSUagyM3xQUA+MHIBBUT3UWNzmxI604P+391akuEsbnHqIo\n6heo1PfkLRTlO3rLjIx5zud+NrYTm3DhaGbZl4eJ3gRzwtnKmpZ0uZw0oEMahyt606wkn5cP\ndFBZO/dxQX5p6YsFblS9w4+FXs1dI76qsFT4PumCgaS7O4qiqICjYU0Qt8CFlFWiKJp03oDm\n5oQKmLNdJVS2Wt/OfvUs7dL0tZJKgRtRFEUFLKDDON9B4cn3shg1KIq6udFGPn0ntAl0UHAy\nOpT2PL80M3ivDtlhXPufWHXZ89AL9D4e8kCHRi9p155mx7xvfS78Pj8bjJ8Lh5kecGK+qjWh\n6U8W6ICzEJ94cF1KNbu+ykkfeUVPY4drh8r5gkbWrF1p42KuMnj83JRJigFbURStZpwjWHcV\n9gp/+WnrFEn2Bq5XQsKueQ53kUDMiT6Z+UKBrzmbKBaIjO9Ez+sRe24FjPSg4a2Uz5ZVCXvd\n3GiyXgfrD5d2fwjQgVHnRuvqyTdnAB10w1eH3I8KurhSxgKnGOAq1HwVOwAxR8KfXb6fx0BR\n1M6VKud9UjSKgF+qYoUHOvQ4FNfRx2vnSp2TV4yiKIf17sSD7e4nrWaGDiSaI0PupwkF3N0l\nh8Wloyi61Vt25KOMlJj+0mvDROplX20J1t1QFGXV3AU6sOqed/zRntq77vK474EO/1WzOuoV\nBsYvBAvsMH4IJV9sxOyM2XWfkgU5ZiT7ISiKMitvyFhRg+/NobrOqxIIPr+dRXaYwKvTijww\nz+dDUUu6TQO7ZiWF323WH74KG19cNZL3vSh8Xz+wKy/eiLOQKODxq8sPkuxNtq2TEX4T+HlI\nGV58XprviLOQfMHiCIUrSnYDHWKqmcLAbvijDNGdNgrsRsZn1qkEAr0zf18VjKwnWQ9upFy8\nlnon8cOrXAajE0b+OELXSpPsh7ZH8qqfIt5K5Uf7893hcQoepJwMOO+48sCiWRFT5+5dbHHc\neWf8hbeMmqbCXDa3JTuF70K62YmNefGey8kwtCd1WW+saSfW+2Dtb7jwl3/Y4/RzV1d0c5Ii\nWEno+I8PT8msb+HD2/0ztvSWtCHSnNSHRJjHfCkTdbUZ2LWujqLo/Yc+Q33VKZYESSftWUcD\nPnJr/7irGedNPBXwFsSRsa/RJoEdiqKHNykDHUJKKlp9is0gDOw4rGRDB1KfiFXB96JjM58f\n9JIVBXZv7gyWWRfE4+RIWIglMjkpN/rLrA0XqZd9dSBYa6FNArtHB3uIArvkus8BDIw/AizH\nDuOHUPoxlct528W5toguijI5LB4AkKmTb0zWH3z8QvCGEgkEef0ykybrJ1rhsFp1BgDePWle\nt/2jAMDsut15RErzp7jSZF1VcRu3llTYfjwqo+w03nDblgcJ6HDVsLJK1xG6hW+eUSSmG9ad\nAEuTtZTB2Z2oYE6iiAPAKL0WT38f16O2C4fvzIoSANCkuplIdWMU2cms20WTcavYurVzdv5Z\nSvPcZx5NMLf5bxmtjYLPPxM8UWlEX7MRfdt1iBah5ZOLFXWcM8OtGAISgYB/sjn5dPIDoqT+\nfIMR9WUQwJlOizadFt2sBY2eqy/3bD5Nc+vWika/bXojH6Mj26sOACOHbXw0bGPTdnGpOU82\nzxFd7giu3NFQoIYvIIuPdZLtZHXG/CyPTNy0KvsDwlTB7YJvO1i7mqwtP70oKfMpUd5rIJlY\nqKdbfT26SmBPxSEA8Ck5gSLxbY95FSogITgAeJ5TBC0e8IGB8VuDBXYYPwQihUiTti/asqVp\nVyGjHABSCsqhiyzKQ3H4xr+Erei2R1LALwAAaltl3hCEsl5FZsfDd8OyM3RHG2l1n8K4HlzB\n+FKJ13CWoeUKAJD6GagIAUH4dUlCreTDyeCxvNXO4Lix0Ba+T2U+Lvvto3ePJnFbqzDyR4Pg\nxGVwAAAkiV7LhvdZN0FiAAAgAElEQVT61e58B7jsZLdPxTqjAzv9GyAhq81h331UXDaYxr/5\n2M+juLxXae3+d7LEdDMJwbzoWJOFwQCgoBFmiKiPO7nv6NQ51QVX5l9+OWn5SQAgkvpQcTiH\n+ISDQ/qlPN/sUlimjgV2GH8m2JcQxg9BVmN8dcXxwrok68+p9pP2RAMAo2C3WSIvxoZ+JnpO\nLo+v2lejouSIKKd6b4jxvIR3Lem2f5R2Mnpy79ynl3d9KV3QS5Um4yzBywi+d1quix8ZAcXu\n/ZhVV1M5tfN/VWX7i/j8Bb/TDNBfAsotF6AAgCOIiRGan1vF+ItBBZU+1zdbR0ytRgmbpxl0\n2o6c6u4tQ3Tn+6sq+w47yjB4uMg0M3aEfVFtbOc8TPdzJRraRwMAcHjFm96nunyO6LdWbfqx\nnaOmnjpjogMAOJz8w0Vrnl2eQbGijjp5N2R6553BwPjF/Oq1YIy/Ff5SD5pmxPqkwvx3Hy4P\nsifNjEsXCGoWudOmxaWhKLrOT77X0RtcTmYPG+L0K6ffV3xNfB5AsqCeqahpVhdtLseuWUlh\nmlE8szYbPfW2ybccOyfx6WmfeHUJQ8yqq4g5GW+lzBSgKIr6eUgRrHATkt+jKCoQVE9zFlcL\ncYz7kP4y69psL2mlTX4oWrt5YiejSnSf7u6ShpfiKms4KIrW76pi7Oxcjp2Qsq+2QAeam1un\nLfy2XPSVp7rQedz3DrsGSFrh95dXoyi6e51M/Ry7og9n54cYSNuKSTtpLTgdWVi6A+hg+7UM\nrcux47DSPKMmqjjSSHYKfQKn7En7LFQMXSst2pfQzqS9vwmBoCooJuj459Jf7Uh74fOLu9iT\npFz03B69+NW+1MJhfq0WNN6zgoHxB4HN2GH8IHD7vGPGondmBGqb7HDuOW7fheE9Xt6aehVm\nnh+mBwDrHHflPpxzukrlsUc0+naTsYfWvIuX19MT59Eozeq2f5RWfFpkaHR7u9b4hxnCS7LE\ntLEUoMk4kREAgKkmWjyewFNPBQAQRPzMhtiJ+ITpW/oMjlhdqW2d4OrVrM1Zg0a8ix3dK+JO\np5/Ur6KGy/nuku0ERXleW03iBX3Xmm4fSmlcC7D868Fem8wu5bCnmtguNxz8/IFDr4jIBuoC\n5kI/k7MVsuYT17sOHfvlY6xNWN8EFgcApi06sn+2EQAsXHL01OqA7+v27w+CSHhM8ljUpQMn\nN/xacDi5zxEsxra0rUMN25b+KRDJCuLYSbUYfzS/OrLEwMBohnozdoLb933GbtSRtiWRbaX7\nbJ4akpTcVP7Du3NWe6d0d1MSt8KTbGhaPsZLT/q/qGDWl7noKw90CCipeBLvY+ghA3TAWVBU\nPfssPuGf2rCgQ3sk8zIWAR0oa2Y0debmvm5AB/XQM83e2kVfecQc3+9cbP3G+jN2a9ZKEaw1\nH1XUbhetLrvfzZpQf8YO6KB3+Ci/TjfryWigw4z3teVgCnKmCp1v+ek25sHebvVneX8Vwsee\nz+O3LfpPUl72MZ+JbVDFwGgDbMYOA+N3RrAvut+4Y/7380qVpVXw3IrX2ddd9hgtj8+qL/Tk\n1rKuW+bteXYji1FEEJMEXlVu/vOjd3xMvAY+YrIbWXwbv3LQQf+XJWUIjkwCdl7x6+N3fYw8\njM9/reiQpJLOdiUCnll1ZX/D43FRtNrh5QcAWLJwXEt3haL8nVNGN9vFZt4LKyrXMTk0tO6I\nCHHpkfv7d20ktmfePNGHl2K3EQDA4XT4iDmMP4udQX1mPc781V5gYPzuYIEdBsbvSxVjh01i\nXqDlk6rdpWkB70tCXnv06gIAZ05biWQ4zMejzx7jo+jEqYc/hbPKw0tZezjZXlcnSUlwmK8t\nL7xoZPPE5fNi5L477J5U72HW7GGluBwZK03lsN4sC1rEEKDtl8ThFUO7KgFAxM239bWKP7qm\nc7gkysiNSi0uCOJwkkOarMAKYVaeBQDtwd3rN2oP1GioLjOS8u1oeQT5S3ZdTHB89m7TO4Xf\ne2M1l1nTSU30r92njIHxW/Fbf4JgYPzjoChnyrKH6/qbCLMASdReGyz2AACbeU94ABoAlBeF\nslBUnDYvdtayLsKifQihq9a03YsGAkBh5qdGNhGEuMs7zs7AhIIAIMS+ekuv+93UJBJqKq+v\nTv3UIclx86YBwLvHG+pr3Th1GQD0Rm8jtJynhOAkWr5lVnPySMNLcoumfwNYfEHnZMRltXQU\ndJotpSPgsds2+iMRt8CdYbxdGT5QLWAvAPC473yip/fyVCI7KJrsWBVbXCkUS08OHeunK21D\nVvboYXnthACgunyXmK3+3dgVirZkoo2ccfD0I++LhMItGQEAds0z+8hxXZ2ptDXqs45uKuIL\n7N1oXiXliad6S3tu+vm3j4HxB4EFdhj/HKigHDFHTlR2duLh/4bFqqgWtHz8bT1weNnDgxrM\nXZEoQwAARVFunQEFjbO8vbzKkDONdMuLqgAABI2nSWRVguhKDYonk8QHHx2iCwCPLj/okKSC\nxlYtIoFZfWNP3Wosn/t+TU4hguACJvRuzw02hSw+EQByE7PrN2Y/+9g5ax0CRVknrlr29VCi\nWEloePVdeTGKWe+nVPH1llPUVF1XebIlkeqo3D9k7p7Ub04a25GUNl5LS95s4CFFscKT7eQM\nts3Zn5ZT336bMjGbVRFzpKAu5ovbp4uzEOey39qFGVFsKERLcQ2vvqsuHWDV8woVlB2+bjvI\nR4NmTVLy6D4l2vN+vfAIAO4/Dpy4SV/ajixmQ+vuP8r34Z329zZi355lekOCEt3oAALHQJP9\nxcrBq649d7k4Wzp9xvqBL9hcVk1svz2uWsM2x/m8ODF35dErS+w/FgEAj5s15frzDfQbic4n\nJ0u8W7XVMJ7JackIAKBozZINYy7V6O+1fXzHalv1i8DBB69GbC33l5MaOD+ldPO6dv5AMTD+\nTbACxRgYPxtfX7Xni17dMdRqU5IiMV2mcaXlphM6OOHaXUlpRmp+Rnbx+w/FHzLykq68TmrW\nptbAsU0b9ccMgQdplaVnAZa2XxLBSYX1UJ2V+nFXTKqVmQkAfEq1ZwgE0gprp0l0clKNQpu/\nTJp+ImHF09lvBlLJAMCsjF/+JLtNxUZ0Ytnv4EGjYxmkOf0XTiRWXkk4duiGxWt+n6S5gwCg\npuJCr/Xz8/j4gfrTRsnJVZRn/ffqok3GlRr/r85K0kL1yrKd/fbcxFF1pw6YJWCk3s+8ZJF5\n7a1lRqixtmiI9sg0ROC0ZURUsdKcoQ5qxMorT45FX6e/5vV8NncIAKCCSustentzvsp3GTLN\nZEJ1aWpMwtZbz07vXvvcXF0WAJ5cGz/68m1xqb4zjJaKo+UPUi77HxmXCunCzeOt9zaF0Xe/\nxwBDAKgo2RiZx0zbFdmDSAAA/aWP7idJOCS9v9b9JhtwNoNn9BUXA5WeN8X0eOJkAEBR7nyr\nGBt9NQDop5P00FHO4W7a3UGXmzXycGj3ks9rLlaQUwND9IgEAINjtknLbtxDkJk4AASHb6v0\nOAbGvw4W2GFg/Gj4fBSP79S3EQ6v0B6xxMQgl6shjwuLa7VwEloqfab20ziX/KGpMFWR2rSR\nSOkBADxuTkclh8+bC6mh7xJ8wew/AIg+9xgAhs+zaI/bLYBEuO6M86OPWDdw4aDJ8mjBtYRT\nXU00Pz7ObmcRCjxRAgDO39iurKlnMXx++wc+ka2bEHSpnzgJAAJmrlZxGp72OATmngWAV1d9\nvvD4y6wyDhvrCIULstxUtm6L+u+t87IhwhZm1X/ympaJHru6EvEAUPQhutdm8x0HxrsZZKoQ\ncO2XqQ+KsqMZY54EXRR65T/DTMll0pvHQTD3CgCkxEzam/N14KQTj+YsJCIAAJ8y9xqG2jiG\nLlkZeoOAoAtv3CdRhmYGPehCwAMAq+qepPPYW5e3wfAogNZ7m8HQWFP4puxLHIoy9WwapDb2\nfF9CG7zOTO3YIFftsQaThncbPsVwbj85anU5AIBjNyWhGIJIuHeRW/Ess0y9eSMwFD69SKLQ\n5usRa7+elHSC/7Nv588QAwMDW4rF+HupLA2kOI49c362possxaHLsPAV98obL79ymK9d9k3U\ndZORcFQdv9/1LZsrbC/9fHpusKGUrRjVUdk4dMn9SqawPTkhYKivNs1aXN3LyOdxSuvCiDly\nJ/tATycq0ZKs6TNyT85XALB0lw5hVN2L1FXfEtuOm2g7lMmKXzpo/9qEIpbpmA1nHR9kbsln\n7qnK3pAQPrZns/JVwiXahvA47wEAj1fpqKSsSoA+iciqubmTUcVm3g8sKsfjFXb1UW/T7VaQ\nUlr+2j9mjo7Uf08iDr16OWVu7H59NQBQbfkkt/rIKG8x69Y96+FGz2tHOzTuhFV7hfETAJDE\nh5jSxPn8fOGlWm/fQysPhff7tjlXVm0aALCrGmw63ukQKozYAEBBc+WlMT153Gz7nIKOytRn\n4up9Iq/I1PHzaBQ+94vw0vG/5yTxkXfnmBHrfk3Uu1seN9JmVsUcqKhG0ZovPD4OryCJw9Wp\nj37pkxTn6AoArfc2i3Ld8xcTJxPFevL28uq/UhcPxuHkT/jkPXPYPVZZMj5pW/91SnbP3gtV\n6n/T4Ak4VMBtyQgACHgCBCE1Hh4DA6N9YIEdxt8Mm/lwZQJjGz020TFaryZm2kYzJlo/QYlH\n9x9+kWd40D4hyeWUAfPsED8LDgoAMD94Rbrisjif9CTXM4Or/1u48yIAMKvOmUT7jpy870XA\nq30TjAIPD75Tw25JWMiSiD3rrOLztryyVPngFL4IAPZuZbhIU0dbZ33ymPRd7tH73AUAmEpP\nPrdw/dzeI3RllcUQAABBCyn8uYn3mjZmPngEABJSszssiVC299EAgMgbrzPjPPgoqtpjl3qr\nEdgsvyJeZF6jRuvAUlbEI+H7Fx+Ts9n9Tzg+zItgFm1JCRk1uuR9CQCMFycDwDTfwkbqNFkv\nNAqN6a4qvMQTtE56ZNTs5ZVuudqKG01ZqtVgfpRcL6hWM1iwfMhyKajJyXtx+9XF/XeDV+xc\n3EidRBm8QLLBoXN9xs4GgDdPcjsk04hFmnL1L2Xr4jAu+3kcky1G6n0u4cjh+MOiV6oEEQCu\nlFYiiMTmHirMqkvqPiPXXAm59Da+gM3rpW7UT70HALTe2zrSyst43PSzFSw8Do/H4REom7J1\niN9XRkFmmPulaEO9mW4zt1/3SL1ipHz84nmhyo73X4VvUJQZ+rFYzbBHS0YAQLWvXk3l6Vxe\n7XJ60Qc7rbWG2JZaDIx2gi3FYvzNoCjXcc25eWpyABDpfO2swyCPQka4Yu1XI6PI+0QZqcB/\nszweB6C3xepehG23neU7nKRw02cEjR9u20uMANDVdrju0Zh0AGDX3BEgtBVGo7uRCN1G7r0o\nNV2ZgEfRmmaFhegvObW0hw4A2C1Y4r029Efc41MWBwCGdlNu1B57N6NZ+dJ8j0NFq1YoSIpa\nuKzk5Q/SAWDA1ImdkBw4ZykkbchJ9A7Ap0Kr5evaiXfosHvIJEboBWGEigoqgxKyJSSX6Yv9\n2M8rFXyL8SiPk+Z71D4y6T6Dx0cQkop8N0PNIQBn68sQxfQbaRFJBtBw4rM9Mo2Qa6H6CY+T\nAQCVZbtWNHc8MpPBBAAnp1eS170jH58Jv/owHABByP16zV8/P3yGqnSbva1Aoc7fqOO42n8G\nusLPSIZw9OqSR1+1jspLEnhftsVsZ0vKrtY34Jan7MgoUDYwBngLAOcipw9ZFWoiiZ6/6XCX\nI3VzUm+KuHGzRgBAqevuUWS10bs9D81YKcXP8oo8hOu6Hw+AQ6CiILeoUlOB1kySAAYGhhAs\nsMP4m0EQnItqbTU1ImnAbColKb0AFGundko/JQr4Jer230pv8ACesjiItKz9SLNrSQfO5GVk\nf824/+oZ0MYBgKTchplKp3u76IzvO2FE97GzB8zuLkYAIDQrLGScjqLwDQ7/o055mi8pvrWk\nYvexiKVWnqpEPACUlzzecNo+7OUHAODxchvJoyjHyn8MxyJqlX4/HJ+RkhPrddAig8MlS4w+\n3F+7E5JS8l4mlM2JNXfPALRevq6dhJpO0zty1mCntWO/IRS09Gb81kvVbDvHwP/TbJu0ksLn\nHjgsLL9i4eQwu4FTDVW0KDiEy34hltQgsONy0htp8TjpAECRonRIpp3gCV0AQFU35ot7i1O/\nOJyc+fRI8+mRxcWvH2fH3029sDfxqGnAo9fhGXpEQuu9rY++1uUp56iFS9TEMqD10ZlxxXe7\nIh4HXYLPzSr3/s8i8kyVrLTmsP7rH5qNhMq3ABBvtWrV0QV2DK6e5qB9rrfHiJNaNAKAw8le\n2RDjcNhnafiuSrzSsH6+jxfMB4DJIyYGXZ3VOzOo0M+lo48LA+PfAQvsMP5uEFy9NDUiggh4\n3xYoxcTFyBKTa7Y3XrDjcTPHre33UWn6KsPRpj1mmfdmTL8KAIDDK13wy0t8c/m/9PuxcS7e\nZzz2+b1eKl3QrLAQ2o8vNutq5bVz89qPr7w1HcN0FFWZFbkfKyuIYt0CV3p6RQdVlKzrs+WW\nm83VZbTaFcC+071KYoIsw41siFQxXrVwbZoo1uOgxwXFht62VxIhBPfXHvEwHdoqX9dOegw/\n8wDZsP7eWZ/TB6sRag/1YRE2m+301f5fu52Fy36+Pa9UVnnn8dm2okYBv6SRGJv56EIVcw71\nW4iW9uAsAHQbpNkhmXYiRhmuJ0b8VHgKoEFg9+q+X3Qhw3ZOsBr7ut/NJ8rdbB37qsnL95kp\n32emieU8id7D77zZWlq5WyKuld6DTaLzmn0NVvbxBPWNK2M2rmzs1Zwp++ZM2Ve/RVgIR72H\n7dNNdo2EWzICAOJSI/c7xDVqNJh8mjG5lUeCgYEBgOXYYfzdoCh/e0GZ8D2X/fJcZU3fnkqi\nXhnVeazqW4+ZtSfcs6pvDAka9onHL/rgksDSTXc95T3ecpb+CJnq2h0V+enh3jdiTXov8J0b\nec/3sweNEXI7rSXhn4aClnu25/HlfYbIE5nZBe+45K7Lxm9JCX6zbsimkCGjpIiEnLx0Tr2y\nefIa9PTAuw4mk7uQiTyEpCzba+Eov6QtKQtVGi/AtV/SYOoSAPh/ytc1YsSwDfd83hTtYNdE\nlLxwu2xn2Ou7mO0sBADgsrNEoQ2fl7/9mDUAoA3rEVpHuH+qywzLy9o342YqntBlZ48uHZVp\nH7jIwbrVFYdnxHzbhVOWd3LCaf99iR91iAQUBEExQT7H/cq/Ocl/kscAgAFksdZ7O+4MBgbG\n7wI2Y4fxN4MguPAwM2Pzrd2JZRGnF7HFx4WoyAHUHooqIUV37uI5Z7vdofkO3SllWw4u/0Bx\nUyfgy6h6PG7cyXfp01Wor9OOm19N4YnpVPIFBErm5itekkpXTbvqlBXcP1PJNOypTG5BuJW5\nOgRByr/kVfVUo5Ja/AOUVtiJRu1sRhcnhUY1Lm6srG12yMGsqbDzynvOzU2HUGVHhNNHhLc0\ndsclv757AABS8h6dLl/3O0MkGfhpK61/H94juGBu9x7V5TlxL86VqS6k4nIKsjaE3i9zHmUK\nAGLkgeqF+/U8703oaYKWv72ZkchCcVar7on2wLZTpv0MN4udmdbn8oXJqgkDRugYE2veXXp5\nl4nIbF+zDwGgUGf76aqsz9qvtvbFpO79FInc1++uP8wvVu/lby0lAdB673cDQahqMmpY7TkM\njJ8GNmOH8TeDIFIJZsO9o8b0C1n4UmzclfUXaA3Lm272jFssm7k0rL/BtoU5XSzvOzoDgIxy\n8KFJU30iB2r6Dt/0qvrs+kh53oVewTEKmjuPTDaNOjVbb22PmUe3jpgcfdJQsyXhVryaOWh4\n+rURfXc1s+f0z0QQeDYe/t/ydb81Xm4JG4ZP5+XFhN7cFZeXP2bauRy3g4dGjiVyEjbdPCeU\nESMPfLz58RIt6YcpJ2Oy03R0pu92eLt7kG59O+2RaT94gvp5v1dhE5crcj9dSTh468MnE0OL\nS75Z9hq1G2m9XV5ETFqhQ8i/nhQd9eR8PkHP2fT4G0ev9vR+L8Qll3/a+kkSKyuMgfGzQFC0\nXUcbYWD8cVSWBkqvDeHvLf3VjvwuXFqvMDuveIzt+zYPvWinJLuqgiAu9vCB2egTlwlE7fcR\nWWrtKzX392FsR8qkWFQG7/g/ZTAwMDD+T7AZOwwMjE4SE6xDsKSMPnEZAIZNO/fPRnUY/z9z\nPRRcisoBgM/LRcwRURG7zlHFCCHZGX8n1zAw/jCwwA7jrwWHVzTU6POrvfiNoMrr6inraZCI\n30tSSlmdgCBSUrrWs07dmmz0ndzE+BdhsavZ8H8sH6FYAWMMjFqwwA7jr0VCyvy514Nf7cVv\nxDj7+DT/tOiebWzATH8wdPyrBKlR59qUHG2dzN3LY2zL3D11wf9f5eSPBo8nEHBtfJy2R+bf\nxNFH7WYNa7+/1pSn2cKWrzn7B6xTJNtIG4atfsflA8CXtJ3jN+pIWIvJumiYnghmogAAfF4u\nzkI867mHgg2JYCPdL8xcKFyfG5fGUN2mpHN5P/eeMDB+GdinDAYGxv8Bgn2GAAA8Da8u29LG\n7uH2yPybhPt/niBOpvvk3hioI2wxPR6/zyW9cNNdtY+nFt55Ayhz5A4nyaEROdsKnznuzYj3\nsvxUVKfNHnk5L9a/sCTwjtrHEwv+e13f8su4FbPvMK75Xmiz5DIGxl8D9qGMgYGBgdF5ONwa\nlqDDq6itay21CusnJyslbbTWQL0kp0SAVq9dtOfQ6ClKEjI6GpMXUMW/lAorHwOKCpZZhRvL\ny0nJGHv11yrOLhYZ+ZTqO+j4qWive6Nof2EVHgyMlsACOwwMDAyMzuOyTmlG2ufvq7VAtvY0\nWCKZCAA4nPyy/iOvPgxzP2U1I8RoQ2lFfWFTOVp9YSE87vsBe6IpwH1aUdNR3zAw/miwwA4D\n418EFbB5f1WlI8Hn/28fJQYAsJg/+9yUlpBqWN+by04e4N47+PUbZZUh9rMOh8pL1e+lNVck\nD0VrHO2eXhrbO2qPNROr6oXxL4EFdhi/L3mZk6U9N7VHksNKQMyRAr6gbVEAAFjiqSisrdBR\nxU7DZP2Q3O0OmXV3l8RZiPN5ub5RY2RtxMUscVJOqiN2rjjzPq9N3fzcixZ7J2i6ypGtJbv6\nGCw7t+1lJauxEMq8dN9n8hZDBUcawZIs66I9eveqE+8azMpUFt11jZ6u565AtiTSHJVNQhfs\nSc2sL/D8giFijkzObOzSMAcyYv7t+zsrfgRijpjml7AqH63abihlLeZYxOiAq/8knJoXK8MG\nK9iIa26cdCzNjeI4DgAAZSPmyEvG/RlBen2PJQAAh5nitHdCN1dp6hrVCQfdM9i1v2Oln0/P\nDTaQshUj28oab1/2qJoFAJbu0rvLq29HdNUKvdmSYnJCwBAfLaq1hLrXAL+Et4202uN5fpZn\nFsH0hd1+55HLxuv0KRW0/QdLFNNfq6cybM5lTfaNuY+zOvO8MDD+TLDADuNPQsBvfkaBQNAO\nMwtrVN2+gtfipz+7rrZCs4rN02o9hYoSbwkn04Onpmg4y4iv0Ri9y+4lk4MKyhFz5G1pzOTA\nbgMvJwNATfn9lWEDpGzFaGs0Zx3fyhCgLekKzXJqkh0jx3V1kZR0Upt+ZL3wjNGmZjuCwH2r\nif/TexUopZuKDq+m8GHKYbPNXZ0TW/vmexlnrbnJNCrpVgmfqq+qzih5e/Q/N5O1/Y9+qlf8\nGeW4b9ebfTzgv+x0eTm9ARp6VH7+/RfRS7Z2C3j/VSjCyI/S9Z0QEn/tI4+qr9lPlcJ+mnbG\nJqKXw8uPHbyLWnjcrEnrJ5zILTfSm2xCFmuvq/8mKGvR+hFPqbNueL/cP2mwQ3iDbRzuob5T\npuyLNRsIKHfVxhFXBUaHHJ48dTqpX3lq0EYb4eTuvOAVmcqrHvlmvPC82J9x3WzPfwCwdyvD\nRkpinENOrtPoZhWZVWdNotePn3bgZUDK3gm9Nx4yecLifNNyniB0AEHga0WLSXcSMlpcdnJ8\naTmP/fXSTYvA0sqa0qr23DSeoHXBbNytU3M+YBO6GP8OKAbGLyIvbdf4jTriVkRpJ7VZx7ay\nBSiKokW5x8YF9KTZyvffNj86cbiURyCKonxePtDhzn+LxS1wBGvpaWdOF7zbZ+ypIGYtPXC3\ne40A5bCSgQ75PD6P+x4xp5R+OTDUW3FSxpdmR3Hw7kI0R0j2UuPup4kUURQtL7w8b1t/RVuS\nrGtPi+sXhU4Kh36X7KVgTcBbSfYJWZHK5ja9l/JiL8QcT/OYejXr5et3sQt8ZWR9HQV8BtBh\nrPeYqNcPc6tYAn7lJCfxrjvWJXx+9zzj3Agn8e4HLrWki6IoKmAv9JDUi1r/9Et2Wu4d881K\nSoHrURRtZLb9D9zNjQZ0ADpMuXi0jMtHUZTPLTtxZQ7QAW+l9LCGLRRLuz8E6GByO1V4WVl2\nWNwCR7DS2PLsqbBFwK84eWU20EHMrv9nLl/YWPh+FdCB7DgqvqSyVkxQc/naKKCDwoaDwpYN\n66SBDtNjbgh/1igquH9nFtBB3GmhyMmk8wZAB+HPrj5D7UlA//Z5lfl4ONBB1k/G6NjuMr6g\nQ67+m5QWOOGtugh/1VEUvba7K9lhLIqiqIAFdBj39J2wvazQDW+lVMSvFeNy0vDmyB5GlUBQ\nHXY77E3dL39KTH/ptaHC93au1PGpH1tSLCu0wlnKZgoVBdxrKdeyOFyRlsi90wcHky0IExLf\n8bjvgQ7vuTxhe+Kp3tq77qIoL/jIBCV7sry73uJLhxOuTSFbkLeVVQqF0zi1XiWdN9AIu4Wi\naGXZNjFbI2GjQFA93Unc8Gzcd3+kGBi/J1hgh/GLELB72BCnxV78VP41M/d6X1uxeVl57JpH\nSlb48eei3xRnX49zJFvi6gd2XULW5VRWZ7wNAjrIecxPKmEU5F2Rt8Sv/FLSMLAjjvadfSEr\nuZDLa3YUFNVIYgcAACAASURBVEXnrhG3/VqGot8iQj6/aIg9qf+RHW+KvySm7tKyJix6/l40\ntIqXWeLXogrGy3muEn3OPG16N+XFXkCHLV8ZwsuairOIORJdlgd0mP4yV9hY/NkCb6WUw6n9\nxsp/Z4mzkC7lC5rVPVReXVboRrDWKq+LWpiVF4EOcTVsYWAnMtt+hIGdYsCmRu17t6sDHfqe\neya8bBTYnQpRAzrMS8pppBUaqAR0mJX+WXj5PslpWsQ0x6fZ9WWY1TFAB5qbm/Cyjy0R6PCU\nxREJ8HlF3he9fS4HiFo6FNiR7IfXCASixna6+m/y9t5gmquT6DL35dj6gd2mkgphe3bSKMQc\nT7Ymi16IObKioBRFUT4371LCnvXnnZZETlGxwjcK7FpS5PMKZnlLi9lpTt1nvuX+qaxqdn2t\nn/kEMDD+EbClWIxfgwCtcJq/48j4mWqSCrqaU5ZJihd8rcp67FJFMfvPdEUvua5ThodFaCnV\nV/FbvU6bKt69p0d3InE4PcxYVkpJZTpdSuLD1wZb5FCUq79q7+xu/RQJ+GZHadaf4k9OzwTd\n7y627SWnOlDf5tzEPtfPHBT1mlntHKggT5My8ByqW/yuuFkLCEJ2rMvpptDm9hEjni+rBIDJ\nWvLCxsKMV+LU+drE2nO35NQsBQLGzWpW87qllaWfnvF5X7o4SNLsaDQ7moLnEgB4wmILxURm\nO8q4RasatcxftBgAcp+eb1beL7sQQUi7+2k2ap8zrTcApNytzZDTMg69an81bEBXkQCP/TX2\ncWR9lZlSVAAw3W1/JeuVMJ8dh5f3n+W/cUYnD55X7uZDQb4to7fT1d8fLvsFYo4sLmh++Xja\nGnHdfXEdtcnn8qHes0LwDdIPFOuOgxMTFyNLTGHuZopegn2CaCUZHjdjpEc354f3CZI95g53\nPzKn8UEjLSni8EoXN+Y/sAgaII27fm9NT9cex0oqO+o8BgZG+8FqNmL8GnA4+VWDxp17FP4y\nLyM979n14vIhAJ9ffFbstln0hTN8qDZc/6ZiRBYTvqHiEH0ZCeF7GtJMetxcRclWRmmWgrR0\nCcnVou11XQcZ1dy6CLBReDm7rp4CgdzynwzSwBUiAnw+CgBKdfv7UBRtmNWKBwCu8BilproC\nVExcTJw6vzL0WKNxUEF5fbMdZbI8rVGLhNRCgCA2s5lTOgS8vDQOFwAULJs/B7ayXvDB4348\n/ehE3PvkjMLs3JLczxVl/Ia7ET1cjj7dvuzm270z3+7FE2X7ag4crDtihtGSiVrqnbsX2XrR\nbYdc/QdR0uvFvHiuiB+sgMcBwNv4XIDGETAAyKjOZVU7PGFxBpHFAIBZdWnsztALbvfRD65P\n2d0rXU+KIQAAL7Ib79ppUTFrx65srYCpZoP6mK2ft9vFXTr4XsaSuf1/8O1iYPy7YIEdxq+B\ny34x0H2woNviZX1HjDG2nFQy5iQA0nATQ/2qVB1CqW76odlRmgcFBOrNZyCE+rslqO3YXYEK\nmLtKKpzkJQGAVXX1BZu7Q44WU9+rHr1rzp35yAvRIOABoDRvLw4nOUmCDJxmdHfK0WRgNrPa\n7SWba0giAkBV2b5JUVfvul3t5EMR3VrTFoQIAKiA3cxNAQcA8Hg5+9FLm7UmQasNDko/Hxq0\n1TKLyZGWNxijYzxI31RHoUdfNdygjXNEwlTZqf9tLHyZcfnamzsPsx4/eX/zxbvY3THrBphs\niV/t3vqhZM1uhMGLfYvh2u/qv4l8l4gxJKXxRyMOT5lR9umUeU4BQNemYhJS5mtU107ZTD++\n1L07pWTzAfonqrcyHldG7c7jxp17nz1NWfzFm8PmN9/wKDnVAlQCh+AAKc8rxOuualaxiJKx\n+Yq3jMrV2VpdS/LvXKpimugpAYBQi6WrShZrPhDHwMDoHFhgh/FryM/yyMSbVtsfEF5uEaAA\noNZP7ev1wwCjhY3JCe9/xCjNoqSnW309uhq1l0AQAMh9lkShzuzQWAiC9wtd3ss8UBPJDzyy\nUlLB3FpKwraegJxq6CjyiXFR/idnrxKrSl4TeUhn4FF5HK6iBV0AKxuldVN2uB2ba6tF/OIT\n6VGosVcMgf+zJldMSdVimnj9lprKswAgRhnUVBhP0FAl4PP5VYHzQ8WbmxwV4RJun8XkrF7+\nMGrYMJEcu+ZuYzmEYKhnaqhnCgACfnlC6knbKMdniR6WY5cf0FZqLCwC5eW0ddZn+139jhSz\nuPKd/ffjJ4PgaJc23DLfZzdqY0DP7vNPLTaZEN38av6WtQ/Qg9ZLwvpziAqD+9o8WGIPADLK\nIQcmfPHYYWiFUxiiv+ysb8Q0f4e+ETOz14wzNRl24MKg3un/pTWnqKC589CkKr/jMz2ruEpy\nOlOmHNvTWx0ARFrv7Mf+zOeAgfHXg+XYYfwaJGS16+oXFF27Y7++pLy6tLzb4GDx6mNTLx7L\nYny+99TH/F3ZjxgFAACBgnImv16cp6ARZoC8HXcyKotR9DI9au71lGnzLDo0Fp6geWd6d8/9\n4422L/sgY3rLK6KRAIKTvOx7ZRDzyuiNOoN32FONfBNXzm5dN3TdPVNK0txtvQ1DlpXruT5a\nPbfTj0LE7ROHG7VcPHkQANQNljQnjvNSlUVRtkt648JyB3YYqLiqOHwuBgAUZR4tr8bhJPfV\ni+oAgFnx+Nv7qrPanto9Niz4ZhovNdTAald/bQBI+1C3TooAANSUNTgtoCTPv7DtchXtclUE\nKqjad2m14TplihWR6qgybKf5XUZ1vX7B2RvWQzd0JdtK9w83Tyg6iZgjF6qYADDPSWLQnTdJ\nDz0HecnPSc4FgNfJIeMDdSVtxBTcus0/GZjb0NWWettyAPi8vIBDU1UcJch2sibhK2KKGuSS\ntmm/EVx28tGUtCNuL8p2Fsc77CZlFolLjgEAQEhoFLpa8lusTyTpb7eOK9nJqtz+6ebKjV3r\nskJXmJ76tL2yIiQndtUGA0XLTzvY2WvGAcCIuTeqInnv7Me2oIhbOvvIu5By7t6az5te75u2\nQPitI9Jq1lsMDIxOgwV2GL8GOdXdQYO1Tf2UlX2HH6/oFzd/1turQ72q+yQ7bme+3WS0Vtf8\ndtp51+U/YhS34vJFBv1uBGuMf5ghksThFW95n1L5GGa4Vm3G8chx088e76/d0eGMB295Efil\nJvxLnP3e/uIkBCeFRqFzqBSRgITMuCPOyRW7uVXhny4v9pCpt8LbSFfYSCQb7LB9VLqTXRH6\n8doSL2FeXVOzHaLwvfvMq6erBCgAoIKq87GLVr76iMPJhDZJhxditmoNDkH27xgR+SZN2IKi\nzGs3l1q8fl3G0dygKgcACELREyMIBBWbM7+IFNPeRE3ZshkAULQaAMji47nlnzK/nLF6/Ei0\nrsooilv/8gMAjNJTFrZIq8kAwPNzbtl15W2rSh4sCNnWnltrj6sibp8YZB1zepCJ50HzE+Ez\nrVlZR2dtshP1Pro0asGlAxp9zA8sCxlJfjrSz7m+7tecgBkPP9JnHdyur5aTZGm4x61cfmbo\nsiPrx5omP/brt2FxVd3/DK30tu4AANzeN2x3gZyHaeSWKRZlmSdmbhj4lMVpdMutj14fBEf1\nP2lt8ySBKeDnfblqeS993Oxx7XmqGBgYfxi/elsuBsbfQHmxF8G668/X7RDCcidWJybjzBG8\nlVQvv15SVnigA2JOtHn0RiTWqNwJiqI3r8wSFsCTXas/ZPMAbScK0AFv1WVXbpFI5vmNiUJT\n/bZOmLNzooGXKtBh8KGtspY4xBw/JWpVTDUr+b+ZQjs0V93BQcMMfXXw5gjQodfeMJEdLvuV\nvi0R6EC01R4bMXt0YG+qBQ5vpTTZkdK03En/mJRG99geV4V4RYydffKh6DLj4TDEHC98z+Pk\nyFriDC88FvX6+soCHc5X1qAoOneNONFW/wuXj6KoQFBjZCumteuASLIsfxdijkxPyW2ztxUH\nhFV4JFwWVtcVc6koOko0R/RPPEFRdKojpdveB23ab0pe2u4x67tKWBJlXHusuHSE16wQBgbG\nHw42Y4eB8R3AEzSH6hj/fN1OMH3mhRSLjcNVZD4VZPLF5Ab3WXLMPXvX0F6tqIyffjHN6cDi\nvkPFmJ+evn9VSdScNXztg8AMG81vSVpGk2NvLfEe1kU9I+dObEYSQXZwpP3L+OVuZ6fMlSPh\n77y8Vsjj95twKckydE6P/hKc/GfZT94xqvp1n7ll1d3XFo4iOwSxPk/8Yq2MRirgv959fene\n+1Qeufd2h+TpEuT23F17XBUSYH/7gtkwFGV9KUp7kHoh/FEWWrddprwksJQvcBxrKBJeOduw\nvq6M0npVAg4AqsujktmcoaMMs4uyha8S/MRBZLGUe1lt9rbiQO0jNfUTJQvS5Jf4y0t9enmh\nvkDr9puiomd9Z0N21R5OaXB69MylLe1ZEBZbSefy+LxcxBxJaDJNiIGB8TuDbZ7AwPgOSEiZ\n33cx//m6naN3f+97/b1b6tUb+Rgd2aSx16pjvRoXwGvEuJH+40b6N2ocM+N00Yxvl8b9nc73\nd2rdDlVuTKT1mEgAPpfxvoShrqRFQgACS63ryegOiUNbKF3THlcBID8z2upCyO33aShZUVep\nezfqtz0Q1SUfAaAf6VuLpLJKfV1xmdpVXQ7rGQAc3258vKFx+VJGm72tOCBEQVO2/qWhjAQv\nv8F2otbtdxo8oUuQaZACHtf8VuR2sNSZWuP24byKXNuiGBgY3xsssMPAwPhNwROluylL/wjL\nXPaL3qF0aUPfx5tsDeXkASD35dgLrz8LeymSsgCQwuEa1MV2VV8L66uL6vIQiBoAsCO40k6a\n2nSUVnpbd0BIyWcG1MsLTGPUEMX6ttP+/wMOr+gxyQMA+O0P7FAeirRerwYDA+MngS3FYmBg\n/HPUVBwt5QuWzXcSBlUA8Cbl27YPKUV3Kg4Xfi9V1HLk0stm7VClbJUJ+H034+tZvt5tbVd6\nZl7rva07IOT52Y2sul0QVaWnPYsY3UdMb//o7eThAy9jL3Vxa1rX9aN3pecDAI+bLlyKrS/G\nqkqw3jlK04kq7aI1/1Qoo3bzTTlijrx5s0XNXpxgSdXbPPd2FctunfLpqporAVom55+33w0M\nDIzvBRbYYfzrVJR4k+xaTHETpRkJE49esLktSQq/5O4xmynzW5/Pr327OlN7RTV/JBSW1fRz\nEJdcLI3D7T3oeTH17o3kE257By/JyAeAo+lPOCgQSUaXJ494cW3E8sshZ5KOeO433keRAgCx\nJuXxcATVyzPGpd6eMvmI5/7E80ceBI7dMK+Ap7dJR7n13tYdEMIvP6q7bfWu+FO7Y70H+C5F\nxIecHN+7/aO3h+ryvaNObF+24HxWUOqW/qjTjrGsZqskosxFfhMSaFOurE174rCP8MbfOOrb\n8u+4Q/cPemQUBSWOYt5dvjtm56aCBVTxGd65iaY/L3MUAwNDBBbYYWC0C2HiURdCZ6rkL3Wm\nzvhUJHx/8sQOufE3klcO+67etYvJU/yCTIP0iH9GQd0fCpFknOKwU7/m9ord0+0uh5WrO330\niTWWll4dMfUrnw8AY2bdu2VmnvosZNkh5xSxpfEL+gCAanM//YGTY28t8azIPuFwaKHrjcMK\nRusSNl5SrDvwraXeNh0AgE2eFyZT0tefXOlyfY9CL/Pb/rd0iI0daH30NmFVx+HwKnN6GXeR\n0jSdfOqqzXY+NBPZlRZ6XGNqJixzM1BU19OcEOnglJtsW1FXVGWs+cEJ6tqyMvruMwyqSl60\nc2gMDIwfBJZjh4HRLkSJR/8nRXy+vE43MuEX/E81epTT6Ba6uOwXYnZG24IrXZpka8la4k1c\nPsV0V23/QK9iBwy5qVcVerSznv4MNPStb+nX348BScG1BbEFgtKoh2fVjbc8H7ND2JJ8+QiB\nqCU82+3s9upGpsaOCBg7IqClgVrqbcUBIPRDo1AAALtZ+5ooXgtrUL259dFbR1oxaIJ0b12X\nHlMMJo3uOXn+gMkSCNL0iI/S3BQe553qmrrNHChPIKjK5PKMiQAA01Vq8yCJFOx/BgyMXw82\nY4fxL1L0PnpyUF8ZW9l+W6af+lL7bcqqemKza7SWM1XKWXPeyeBSQYPUcWHikXApllUZbxbS\nX8ZGoscWs7NJI+W8o0Vi5YWXR69Xo1hTe2yaHVtRAwDClKOYIG2T88+3rVcLY1TdDuveY2c4\nYo6IDgnIih8h6xX5k26+g8w0njuss8WQ/1BwOOmrl5xW7vJKZZQJBJzM7LPLbqXqDtr7931c\n4gnq1wLzbq9a35NSc/Tqoq6ew9ObO7qNSCFKSC4vCy+rfUVUolFo/7qdJTQ8tmsCA+M34u/7\npMLAaAMu+3n/rRYVauZ3fZ8FjxmwNvIAgDCLaPxj6sRLHmmJaw6Q04OM9zQ/4YQKqmauH/dR\n1TLe/3X4UOVF+x7W77XdfWgt/WHe5qcTeI9W7rwKAMKUo8me7xNNjV39Pq+Rpo5bk5lqPuLH\n3+j3IdritJeqTKNGnqDDlTA6ofLrwJ1Ye3wweqaPmyzekqS3dbmikffDJX/hOQ15b3dsvJk0\nzGBp4MKDiQFf9FhJ3gXNnOMnpzGppurcO27t/yElnzaMi3D7uZ5iYGC0Fyyww/jnyE50LCJN\nfLDYvp+SzrgBvucHa4Mwi6imS/wyD0MldT2NcbscPD6kWBc2V++htMDtHlv75gJ6T7muk4aF\nBSg3CHrGmh+YoK4tI93LdaZBNeOP3BWIokzfMHUJ59FJTA4AqFoTJtftsjS2I83IjVuxpbuY\nFYHiqDLmwDrhI+Ky33rsn9rDTVrCUWXa4cCies+tJRXhUJduORitVSZb03Q2jN6c+G3naXHu\n8Tlb+yk7iks5qw/daf2cyWm9/bsjqTj7kteXsm25Lze8zY+ouLvKVw73F35a4sSe+19aEJ32\nvKCq4OmrqAwuf2K9Q2NFUGWcl8vyx+5ZH//lY86n2CXhwRWqpq2YRRBgFJRxeH9QKI+B8ffw\nF35UYWC0zufkT7Jq9qKiW73H9gVhFhE3V22NrIyjjIyjjKafPypgvmpuD2x+arI4bSG1rpLZ\nyJ4NdiDO+uPzjQQ7DhhtzVG8suFGf4pY0+57e6bkdLG8t+75uQWWiU+3TDj/HFCuTcDQ0OSM\nJVN2nFm6Se5T2LRbb9pQAQCAJ1fHmp47YjJy4yW74+bdiV4HjO1SPwEAn/t+wNYVKRJj91pc\nP7HYB82KnhoW1Ur7j0NaStOgS08l0l+bi6yss3/X6BEb9o1Sd+1mduGcx/J4cymJ5gRxkd43\nJyMPFwTrGYdb00w23zc1acWsmdGAhD16w65iGykwMH4Bf+0HFgZGS4iqywrB42kgyiLatreR\nML9JxhGfxwf4ZgHXcCJHpt0bEhvY5PLbFvopnDw11CWZe8rv3ljJ5vPq8MjquCUuAABa/fbc\n2r3mdVrJ0OP7Cxie3pk+mgoAMMlw/CMH7UJyayowf4CA92XWjbgR815EjusDAJP0Z0jnq7lG\ne+8MOVxTeTyXyzuxzH8mjQIwujdSEpbDBoCW2jE6D0KwnH/Gcn6DNgJRr3brBmjVvQGS+MA9\ndg8aa+OkRAIAoK5/s3wLAMCUxfdqFv84pzEwMFoDm7HD+OdQN9Yo/bKLV/d99C4hCQDkNCfX\nVJ3LrMscL/2yceR2u2bVlXt2r6k6VYPW6j9Oy++0J5V1BSMyXzUuTvtLeHhtyqI7T6gy0+co\nSLYko22yXPReRZoCKD838T6JMnizpoKwEU9QC++q1LoKAFSWhRby+GuMlMqZ5cLXmMm9ayqP\nlwgEZIkZsnic067V+57FZFfWaBqt3T7XGQBaav+tEPCKm60Eh4GBgfFzwAI7jH8O7f7h8qyY\nUScjU4s/PnoZMuduIQBQpZ1WyvJHhro9/vLh/eeby8K2VndZ2Ky6gmaECT5r8rkj2YzPdxLc\nNlZUA9LG3xGCQEVBKZv7LeWIIKangMe73f2PwS5PSglelvrpO95gp7n2+F0w3ZHxNczidYv+\nUBUb10OpLq4mkhqUolXWbnBIaFMVAGBVZwDALA8laQdp4avH9v9QlJ/L5RNJfd+4HRlDfuey\nf5quC62r/4Q9aR8AoKX2NuEwX7vsn6C+RpJgSVZZ18/hZoyo62vOkZlBBkoOFGlnjVF7nUWR\nfUvt4ha4xQWlInVfD6k+p58CgL6tmE3Bx02HpndxUOGgACA4F2tr6KlEtpbq7j8pPOVde/xs\nRBUjhGDdWpUZAb9AWBNbuGW7tbrWKBsxR27UsJrpQTuwq6VNlzAwMH45WGCH8c9BJPVLco2k\nfogc5tN94aXYCHfh8itul/etWRLJC7f17Lfdgjwg4MG85g+Zx+HkY3yvyWcHG3n3D3xFvTBY\nF09svGm0EWZGA5/u1x9+7VvKEYJQ4pZ7fr63Qs5eZmjU4YDfY5PsCrunriZhIboqR6OWFLfw\ndY9A49oWVCUql90gm6qysLJ1FQAgkmUB4FMkD41C67+MSUQAUNZZfGLNU8aur/GOJ6dKv7MN\nNxIWmmmpvXV2bB8f+Zbnt+LcI7dY34FaO85OCS6rBAA+N2dA8OpMuRlH7e6eWepd+nrnxL3X\nW2lvnYdnR9whDt5nf0sMgcdXRptdPjd+YuhNp1OrtZlOu/QDPha3aaHT4PDyAbMCNDpVPdvC\nTWrG+8K25TAwMP4UUAwMjI7AYSbujTssujyzVVX/xJNOW+Oyiiv4gu/h1/8Fh5UMdNhWVomi\nKLPyGtUCN+hKorBLxQo/KeOL8L2Rrdjwx5kirVthGrJeB0vyXIAO3h+LhI0CfpmJPUnCaUkr\nKiiKcljPSObIslcfRV1xZycP2OqFouiHlEW6Xr0ZdY+lpuIk0CGgpKKl9jbvbtXOqe4ZeaJL\nNSvCpMwvKIpWlPgDHS5WMoXtWY/8PS6fbKUdRVGKObIov0RkysddsvepRBRFe9kQZbzchY08\n7mdFK/ykuHSRmO96OVnvrW362YjKsm14K5VWBPi8fKDD3RpW27YELKDD9Wpm0x66C3VqTsH3\ncgkDA+OXg83YYWB0DAQnseHEqnUvX7L4zPSsA/Y5havG9+y0NQJJjob7veq7kqlTL4/Wf3Z9\nWnz7ionIKm+mK0lvCRoSFHfyZspJmxD9XIVmd1Y2gEjqf3iw3onI4etuHbideffAdfNxN2MN\nRqwCAAXtqblf34yIXn8p9f691PMuUa5EUu9VkhIttbc51gHba1u6q7BqClM/PD5+1yOfX3tu\nFllihgwOZ72Lvv/5zfdVzG5DvYNmmLXS3jo6Q2v3C1SVhX7l8Z17y4rSB6cO7lpZsr9NCwBQ\n9P7wlCADGRtxzY3jDn/4NsnHrnlmv3ustjNN0kl91jH/goaVROofMcyqSlwSOlDWRkJ389zz\naZOkPHxFYlUlMRM2alKsJLptnHqhtAoAbDzloyuqY7dq9T0S39IQLbmEgYHxe4LtisXA6BgE\nMf2ndtuXnjVV3FdAlem5bMFdZ/kWtxr8oYyce7XXI91F+4/n2q9sWxoh7vaJkzrkGHJ2VSXQ\nxgxY92zUnZ5hbevNX/GcIW0VdtN9WxVXXbGP94o4H5OuAEChLUpanWV946DZs01kcRU9jdHn\nvXeqEHDQUntbZDzfsvzC9qdFxQoyOr01BsvWbWQmkvqmuh50vLzdfu8kNiA6mpPWL4xe0lWx\npfbWR5FWq610w6rKAIAJ7g3kEaSZ2jGN4LJfDAimyw/YHLtsesWXs4v2BADIAgCgnGV+Y1O7\nu511jRLn5AQfXdg/gvbZeU1TCyhaPcd3TLHR1vtLJnzJ3DM7LIwkPVDU6xSxO8r+7mkpXtDu\nkZYRR+dssN4dVMx1peXbvrumJbPAU77pEC26hIGB8dvyq6cMMTAwMH4grOqbJHNkzIUDH6pr\nlyx72RBFi8tCuKz8h6+Or/pfe3cZFlXWwAH83AmGAYbuVrDWAhUwELtbsWN1bQTFwE4UxFy7\n2LVjde0WG1tUFAsVEUS6G6bu+wHFGRjKFxm8+/89+2HumXPPHMZ9eP6cc885q4w5k22TJJJS\nyotMxY6aoV44Fdvp1ddp5eTYEWQcSZRpp5zeBrZSndo+99vM/L0jDQrmPVPjZ3Em1yicss9O\n30uNZ7/JFxVOxYpFn8g4cj83Pyl6MtetTvq3mttXGGnOXkTTX6diB72JKiiPft+1cK68YCq2\npI8oqUsAUG1hKhYAmCw7Y3c+Tf/d63dLNR4hRCx6/0n8dYlr1KtR9Zc4ZNM0h2fs3HDYn2Mn\nikVhj/KEJZUTQiiKSk3LLbhdmPfwdFZu8U/U0PbgUtSisO8rEk7vad9q8/4yu/rlWZSOyXTV\nbzPz9dp93QQ4JeqJRPzFdKqmwF0gcBcYzXejaUlQvoKJ8thXT9UEwzW/Te63sDOXfbeP+dfB\nNq5q0d2zS/qIkroEANUWpmIBgMn4GgPY1NGJFw6sdnRISghaf2I2l1AJH4KTbYz1rDq/jz3Y\ndr/vUse2GtLYA2e38zU6d+SriksoJ4T001Q7s3vKuQlLTaVfNhwbk00r2LRORdVxr2Ot0Rvb\nmQ5c2MbC4u2rXW4P7i7yOlxmVymKktv7mv11bleFr6ImGJK5rmg0lEoyipQU2T2bouQe39Qu\neffskj7iegldAoBqCyN2AMBkfA3XuyPnxT2c33xFG6/LJ4b+/mJ/S6fXZ/t7RierCUYEjVnI\nCdsxYEObfrtnhgr6XFhySoUiJZUTQrZ57W6vFTpsXbNma3o91Bi+z0rxg3dD/3j6Z/umB89P\n7bi297oXsWsnPVtay1hhTVkWTS1TYzcJv2XFyCeBBS90zPrmZp15K/w60JiRuKH12mEKt0Eu\n2D0769vG10EhX8r5LZX0ESV1CQCqL2XPBQMwRMGOIW+Foqr/6MJHrCqrwVYevP4xSZXVGk3T\n6amfY3OEldigkkmFCenpld6qMO+Z5SSO474NT2PD7zzfUMPDvPCBtikLdczWz7wR8eFj1NUB\nczR/BF+fLgAAIABJREFU23uRltnupPB/AIkkyXmqassj/m+TI649mKszk681ZwlNF93uJOFz\nr8Jn7CbM1HC+9zpXKFb4EaV0CQCqJ4zYAVQONsfMb4CfQcXPih05Q2NAbPIPfOIP31j1tvg1\n7HX7rbJ7UXkoroFm5S+F5vLsg2bt1InZ3WFZvcEnT/nNPl741vr5N/rxno3ZaGe/fqyo0YI7\nI7sqbIHF0ru05Lxp5EanxY7Lg8npjvVZbIPSP3Rgs+bP9jdqfixI4UeU0iUAqJ4oWtEzIgBQ\nCWgxTXHK3KRu5AyNHK/IEyZ6ZdQr1lrhjRJxBGdyjfub81uolr2nRnk4T1U1mhdddpdKREto\nii3TV9+52qfaBgZ1bVQZvYMSifKD9jx+PaH16ILLy1truFG7w93aKbVTAFClMGIHUDkKzusM\nFYlpaTo1nnr9epW5hxpnokbdla7Xsr6e0Xnn9oKmCyzUJgtqLmm3NTSWEOI+3/hoVs7ZFdZO\nJ54mfPy7h289jclcrenmnXfPiRJLCCEltSZ7Y2Efbv5V29TvUOHlnLlaza++lu1kZvKV3zc4\n6XvwuZM16vh08Q9LKCjPSDw//M+WJlP5+rMbzbr9oKBwl4+R0Qr/wnujQwdzJhlGiSUlNUII\n0Z3I/iv6vPNcHe5EjtHcBnMCgwkhHl6CBcnpT040Ltgst6TbxcKw6dvamU9VM5rvsPHN+4JT\nUAkhElH44n296881Up1q4LBx9IWEoisGoBBFaSw9PM7r2bM8qTji06HJr78M7Y0wDfAfo+y5\nYACGEAnfFjxjJ5WkkXHEeFbXK5/Dk1NeTVykY7rqJE3TWWk7WBP4G148+pIWcexsG65bvYLt\nwUZMV+8fk0TT4sZTVNqePvAxJfb95+vdPflOAa9omi6pNZkbvz9jlxo3lzPJvGA3svyce+zx\nVEC23HlTw2aqm/85+0b4sxefAlf42/I8WtE0LRaG209RMV459vSb+9ee7Wk5XU11PNU/Jin6\n3VDWRN048df92HZ4G5qvO1pSIwV0JrBMplr5BV3/mBS652Rrarzq/dx8qVSyfI5W0wvBEqm0\n5NvFY+drm6x2v/Lh6dWnW36bov7tsCyJ+xI9o5VjTr29/zz81soDLTmTbSrxaULm+fJqU5vF\n1moTVQzmNPIIuKTs7gBAVUOwA6gcRYLd8G+Hk34MaluwSWxS9DDO5JqfRWKapiWi2MuvLmdJ\npfS3fCaVpO64tSP2W4q6sNa8zu679LdgV7w1WlGwo6U5tpM5M2JTaJp+d7eNwGuafB/F6wLW\n3fx2tGhawkwyjtA0/fFxR84kyw9CcUF5Sow3GUf6xyRJxLEGE9mjPsYVfITmBNbcmOSSGimg\nM4Flfyao4LVEFF14/qzPHK1ml16U0of0pCWsCWpP8r4usPjwoFNBsEtP8qbGq77OL1ySIunt\nyW9+/fWP/AsBAPwHYB87gJ+il8nXHb+4/K+bwWob+nXWblBrZp3ujbu2q9dtkEM3dZltxiiW\n9tgWXU492BYc8/Z97MtL72MsmpfWmmIUf7WtyeyzwesmtN977nnjnjvk32ZP7zA64Nkhn+h3\n4Ylhj99eKiiNDPqooeNuy2UXXOqYzNdiLSWEsNjG62sYzj15m8waFBM6PZ/XcrmxLiFEYSOF\nGjrWLHjBYit8RE9xH+JCr/PUOjTlff3pTOr1JeQqISQ1+jZN59WfIvdT145IKe1LAAD4D8Mz\ndgA/hYBddNUEm2Nx3ifm2h9L6vFzDpwbVnNu61CRuPBdsfBVq9n1ljwJ0jJoOqbL2kMNLEpv\nrSSt+neMerU0P+/RmpRsP4easm9JxBFd5lmNCTgn5Fl0cZi0x/3rYaMUq0jjbJ1va3s7DeoW\nH+6VKaVPnbhbx2U9hyqxEZmulvZbpaTbJWKJ/K+jr39zqqipclXqiHeKZf97O8a5nN8GAMB/\nDUbsAKpIzJvN/lGNlnQZ6dx45IrBm5pN1VsYl3rc4utuFPHhXi9JhyzPfQXp5txZEdH4kU/R\nt/DTEJouvOWhrje7FV9ukWzylxk30vmpK08KWBQhJDnmZEG5laNtVsjWcNGMmlw2ISQ77UCE\nSNyEEEKIodVaY9pwTuTD/TEpB2Y2LKWRcirpdqPaDvk5u0PyRY14XEJI/PvTBeXaxqNEwsFH\nMvJGaKsTQmhpao/V3exHXfQxxVH0AAAKYMQOoIqwVJ4uPz14z9uncVlxj0P834kkXTTVCCEU\nRdLiUjmCWqL8kICYmJycuIA780aEx+Wkx5beYMGNQrFU7lPYhr5meutOPmnaZ0yR+jyNxlJp\nyraQxzHpkXdf7Oj/51FCyPP0dMuGOxqwYltvcL/4/sm918cGrZ5mwfn6Jx/F0tlQ2+Sgfx+2\nzvR+GqqlNFLGz06RzPiIxIz0km7XNV4zRJfVY9vcm59e3n6xa9CxD4QQFqH4GoOW2xq7+Q0+\n+OLW68/3F+9yuhWv6m6Ig63KQ3IiwNPFu67lvNa5Wf96XvpHouwOAUAVQLADqCLGNn9tbeey\ndFdbi1m2Q04en/P7/fFa6oSQIU0cHuyo2+vxqI1tmoxdXctsSevtX4xuurulvRva80l4KQ0W\n3Oh8LrhIede+zQjhrrW3KlKupb/kRO/Ruw52s1nccu7t4OVzHrfW02m5tCubW+PWomOtyN3B\nf7bouWdpwz53RmuqFd7VxrVPZmJiS1e30hsp/Wfv5tIl7tGA39ZuLfF2SmXv0of9OA8HrXUc\neebUcs8ZhBBDNosQMm/mY886ktl/92i2tv+V/DZnFp034eAXV9menOs4KuBJ33aL4zJSONxa\nUfcntz79SNmdAoCfDhsUAzDN8/NN2z8ckLJivrI7UgFi4Zu/H9wZ2HqCLosihMR/GmO+5pZw\n26fyPloIxbScqtp/YfwsQy2VKfWFW1/nZB7RXbAtb9MdZfcLAH4uPGMHwBxSccybmHfjr7xq\nN7Zij74pHYuls/GYx9lco71tOkmzQjz/OmVlvx+p7v8Rmi9y0eQXXqqoNhHlv1JifwCgamBG\nA4A5crKOuqweJGgwe39jS2X3pWJYHJM7c3Zzn82vNVPH1mdIVp3pgWN6lvPejOSFKlPq/9Tu\n0bRUWnat6mWmiY7n5UuFMzJPAqdq6k1SZocAoEpgKhYAfm0ZyQv1F58Sbn1ddtUfNX6WIHZK\n2PkaRj/vIypddtrFDssHhqvWTU5639rK9H4M/dfCoFHGWsruFwD8XJiKBQBloqW5iVlphpom\nyu5IdSHKD1Zxb/Jpu9iaw/5/2lHX7v5gTdTt17dCE6I0tG32NOhSg1fq7tYAwAgIdgBQCey9\n7Ut5N3hx0aW7hBBamrnqkKvv3WuZUintT69Z1Ty0ztjNfcapUT/ycF3ok4X9/9kaIdJwqNVj\n3R8bm6nxCCH5OU+99s0+/+FxEq3dvumE7UMWFKyoTYrYP/afVTc+f6B4+g1s+vhP2FxfhVOQ\nqN5uE9XlcgghUa87199nl7F6tdtc/T0Z2WS1daMW17fSf7hGecUvHFvwoZuWGuysffb1sBY/\n0OFMkUTAVRDd2ByztQPX6rJ+8DmZftv6KSq+deLR34SQU26nfqxZAPhV4Bk7AKgEC3suXNhz\n4TSnBq+jw6ysO//RZtrsjm69bW2j4j53675e4S23jrRa9V5z/4yH5hwOIaR3t3Hh96Y7Hbr6\nA58uFn10Of123eTABx479eKOdvKdQQghtHC0d7vrKm2PzXrxaNpe/cjNzTasI4QQQvdePyGu\npucT7/AnMw5bRx0aeCyolMa3+SWN0VTvOjsiZFTLRj2GJUfPT5ZKCSESUdiC2BSPHo2K35Ke\nNEswa9Lq3S4mngLBTNsee5YmSqSEEIk4ghpPZSQcbrvEpNfziPj3O7usqK0+mas9w7zHviVJ\nUikhRCpNmfXvrBSplBBy6+Zc+/nmapMFtss6745IKmg8N/PehM0uFp5qurNsRhzfkSv/OE3b\nOm0L/nMyYZ17EZClYmpfo0VtbZW7L69bNhj0A98tAPxilH1YLQD8FJ+C2+vM31bSuyLhWzKO\nfBKJ83Pvk3EkTSJVWE0s+lRQrfhbA2brz0hIK1LoMUfzj+efZEu+vHEXzJ6ksHG7KSp/JmfQ\nNF1zMqegJCNpM9etbok/UgnSkxaQcWRzUkbBZVbq32Qc2ZeRnRrvxZlcI+Pbj5aT8Q81nvUi\nTyiVZGy5saXwhwrcXdvE9yJN08K8Z2QceSsUFZR/ftVJ4OVV8HrcTI0e4XE0TdNSYcMp3ImR\nCTRNR4b05nv2UdiltMSZ1HiWvveYO1HhIR9OtZmhVsv/JP3t++yypO+/75/E5ufVn8LtdP7o\n57SEsM/X2njwOgZ9pGX+abLStrEmaOx4HRyXEXX4pKPq1LY0TUulOb1nqjse2vgmKfZd5KV+\ncwQNDwco7MOCxbpjgsIKL6Neuess8KrodwsAvxxMxQL8p3E4NTYM2cCv+OxnXn52Pim69Gpf\nataF2qayJYY1R2WndSRke/EWosUSW/mnvrh8G6kkqaI9IYSwWJqT9QQFr9W1/7DkTDyTkeMc\nFyQRfzGdqvmtFk3T0kd5wkY8wSTnPmce7/wr+s2H+DdXXoapWZf7kyiuX10ztzOPiUeP0yfu\n12l7paSKNC3d5LnFWaBGSI1j7mNN/Mam/9G34JQ4q993uNYwoqWpHgM3D3B21WeziFYHNz3N\nVbEZsi3kZd9lc8x71m5oxGEP6nVMt3aolJC0uNmX8+tmDp2qQhGi19XfY5SxjxsZ+qF4BzbH\npQU2/L442rj2lPREJ0JWl/tHBYBfEqZiAZgjMWJ/B596mu4GjuuH3sjIKSjMSbv5x0Zns2l8\ng9l1J5w9UuRcKYkk1vMfz4LpvKyUq71XNRK4CZpsnHrkSP2GRx8X1EkI/8thvqGqm7bdhrFh\nIgkhZNoi84CcvL+WW3d//FG2td4a/NlXLsvsDCINuDKDr9FHYW8XWOp7Hd+f9y0cioVfVu2e\nrG+58P//HjgU4bIoFb6KmmBI5pbMb/9l0f70eC11sfBVq9m15z64r65nN6LDiiMudRU2IhEp\nPoLLqW/PmHfzcoVhC2JTFnSoV1If2ByzoYKvB3jomU+TSlMvZ+cVXPYz0iaEUCydsc07X7+/\nZe5Rt/4bWo2KLppotQ1XthNE28ys22+3+/anb5vV68QiJCUyRCR8YzbDwGC6gcF0g7pr94tF\nYcmKNmNpp8Zb9OBN4WXowwU8tfYlfmUAwBQYsQNgCGFuYH2/Pxy67H06xSXs5Zq+B4+p64+i\npZl9l/XIa7kx8PfTorS77huHdeT9drNL4+K3S6UpXZb20uty6LWb47O70/ufelu/w9e3Bhy6\nf3ZmaE12xHDv1kOvTwvq2mjj8i8fPdWsF0RsMZA7tnWd+4pGq/sbPnPuYdtAk2S9Cr94J561\n2uuEwg5PnHrsgm8vvZmrJWJJaz+H0MhgyqTXuVk/steaVJqxMyXTTVdACMlJPxwuEm/WVNdR\n65ubNfetUFxPhUMIyUja2GPPvdtex+LDvZ5LmmbNOMihCCHk9l2hbFMZEppwCSHkU/AXQpoW\n/yxd0xWGEj3P++NowRhXDX7xCgUoIjMISnEIIaJvA5xGbBYhRJT/ssVsx/yaQ0c1bj3B/o9h\nOT1XyrfA5lhe9o0OfHHy0pur/sddF5x2ebfiPJfP1dByT1xd9sDb5j+m1dnS1PHV4NYmxvFx\n9/8JeT5jyvsy7wKAXx1G7AAY4v1drxz1YRf6jailbdmt9ebV5nqEkOSYGYGSJjdcx9to69e1\n7rtnXNugK2sU3p4UNf0paX6qxwBLgUXfbv92U1MtfGvkpA32erpa2k3mNbZIDk8upQ+GNTw/\n+T3xbuEszInKkKq4NF/+1O/TjJqGCiurarhc8Ym7Pn7jtmEbhrSYfGjWy7jFp5zUeD/24y/4\nc+z1iNA3nwJGr3c3qrm8u7qqutbkyYbsTlvn3owMC/9yfey6xckGo1iEqApsxMJ356M+5+TG\n33jgPTQ4Qpj7UUwTjkpdAzZ73vULqfkZz19vHiozGMkiJD02WSSWEkIoltZqa0P/w4ENu00v\npT9i8ZfjmbkFr1NjNrNYGp1lvlJCSMKn2W9Y3UKm7fZqO6Zr7Wa5wqIDhLGh21feeNPG/ne/\n4QeD/SJ006/6pWTqWnbOyTwYLf46RBf7fmaXbZsVdsCi4cqoRRf7WZqnpqebWfS+uOjL6kYW\nFfxSAeDXgxE7AIaIfh5taONXeNne0XpZIEn+9FaUH2wyw6CgkKazhSLFh1LEvnqtrjn52/Yb\n1Cht9RXf3hqsW/BsGOGqckl2aX2g6Rz/K8tX3jkXlyei/emN6zv4S9TXdx+hIjN6FZ8RL3tL\nDbNmNcyaFbxOzIgnhBhpVngfYHXB8M0O1LiNDglEr2XdMYF/zC0oXz//BrVnxpiNdqlEr22z\nBXeHdCeE6Jlt2dY+zv3P37LYRs6NJ1zymtdhzXTns60e9rG/O2a+68kJBmeSWJyafn/0X/rv\n1/YHObTovb+Rw6e7z4c3J4S06+9M1pz0bWlbSpcoinLb7Gk5ZqFm3sup23ZY2/9lyGZJxN8r\nqGnbivIv3kpIbKUpvfbAb2JsimVKimwLLN6DJSf8TMzP9rI0DQv9K1rC7qzGE6jPGq7l02LL\n4pPDpujlPxuzbZtKjycl9UHPvPM8884V/TIB4JeGYAfAEBRLbvaPq8olhHD5XIGOV6Lf0jJv\nl4glskP4LJnlFFrs8g7t3znqvDjEfMfEawu2dSCEdHDpe/TIxOaZZs+GtCusYzzTuPRGaP+K\nHYejqbciaz0hhIzoXfQtFb7dZrcbxUe0Jgw6PkFm64+kbd4FL2o7eYc4eUtEKVksbS02a4bD\n1wodBgdkD/5ePznis0B3Zjt+aYOLKqotjjhRg1fVS2QZOteffm900a1GdIw3rnP+NMzHSsiz\n6Og08+7o4a33dR3ZLnrPt62ajaz/3tBmyJKdrSbkUZaGTVeMC+qurkoI2bXosvvu2X191udw\njXu23by7o+Lj1BadXlS8cHnf5aX0GQAYAMEOgCHM7c0TLh4i5GuECnoSSQjRr9EmO2NfsnSx\nHotFCAkPmjD1Ze/zfyg4htW4rnXOjYNSMqYgxB1Ky/qBPky/+9rb+/YQXcFyiiKENGjmcbkG\npb/YnQz5ft5X2qa0H2i5KrG5uiUdvCURf3kT83HyuefOIw6V1QzVocOOTx12yLXMsZaJrayp\nw85PHVb45oTsFvsJIYQYfKvDnjLkxJQhRdvlqbfw97hT5k8RlxFX+Dot/f3Zl3eatpyJWAfA\neAh2AAxh22I1/1i7fuc6/9nGJeLt5imRqRwB0dRd2E99neMOv1ODJ2pkBQ7Yt89u3AKFtxvZ\nbLSV2A68fG6ri8PTu56380UWpe6BQlEkISNPqk9YMrU+iyX1VVVkq6mqNZJK5OZetfhyqSkv\nO+pVQpSYUqtp0sCQV91/I+Vm/dtm9YpG9aceblZT2X0pg/8of9nLiJAp9f5+JPydqPzIuR4A\n8MvA4gkAhlDhtw6euj7txZIGc2qMvxl2ekZ/QgihOPsWnXcWnu+6zLz5trnNex7ZY2el8HY2\nxzJw3uGsoJm28xx2JnbYbaKroq6isGaBkY3szq226BYkt93JfAs9z1NHhN/GpCTi+PX7/9C3\nUBwlJaLw6ducBNOtHFe6uPg2MZmq02mPd8EJDdWWhvb0lC3Jtyav1mKVlo+4Kg16N2pdZb0q\nD6sGvvm5dxMkivdwAQDGoGi6Yo+zAAAjCfMe7H8SM855QMHlzNma78e+PVfHrEKN5GUF9vLp\n+VBkIsn84GTj+DbiqcS4x9mZR1uoK3gc7e8/LWYk2G3/3a+3bT01Kvfdx3Nz9058ZfXXx4kD\nK+HnATmSV89nN/07MH9zaYenAQADVPeJDwCoGhSluuDQkHS9V+61TF+G/LkpQ+WxteJtSkqh\nquES4Bv3MPTGm/jwPEqjVv/mHW1/K2leYP77WO8Vb4Z9PTFCvV7tIYdmpeosmEEIgl0loMbL\njSlSFHfE4KfK6gwAVBkEOwAghBAuzz7Ibd3of/usTE7SM7Bb4/bYXv68r/JwP7NhqMOQVvV6\ntijxRIbvTNlsPRW2bAlbRZ9iaVT0Q0GhOd1XTnYZWnipqm588tFxQhoqsUsAUAUwFQsAlabX\nqoZXPr42Mmsz1HHoEMfBTfRKWl1KCCHPrw/u8kjrn9Er2pkaEkKS4m4v2jv4nsWBkOGdqqq/\nzHQ/9EYuTXfdPPayx9+FhRLRl+5bPcU7U5XYMQCoAgh2AFCZ8jLDLrw4czr49IXXDwysugxx\nHDKkmWs9re9Hb1nM/n7+QVJadB5N81T1BVRWUm4eIaS+tdOrBQ+V0G8Gab+kXpRY/DHxs42B\n3GbUVrZe18ZMUFavAKBqINgBwE8hESUGPNoy/Zjf+zxauuv7eazX314v/cYO9TqUXgHKw2Hl\ngKB5ik/pBQAGQ7ADgEoWG/vwfMi58yHnAz68MrFo28++37qe7oXvJmclc3jaWlx2cpbiY2f1\nNPSqqqcMJJFKKIrNoohEqmBnEzaLXbwQAJgEwQ4AKs2Sf0afDzkfnJRR36Zr/yb9+zXpa6en\nXaQONZ5yGvLqYYf6RZZtFqrokWIgixpPtZkQdsvBRuHXi+8WgPEQ7ACg0rTYOKyffb9+9r1q\nCVRLqhOfEc/l6+tW4xE7Yd4DnkfLtJ3S0nchrp6i06J56sb6XHZ0WnTxd820K7YxIQD8cnDy\nBABUmgfTDtYRBY1ZV19tMps9iW+9pIXXtTNFjpIw0jTS5bIJIXoaenoaelrqenoaeloqmY8+\nBIZnUUpPdYQQDqfGhiEb+KWeqFZtmWmb6XPZhJCzIYFm2mYy/5mcfXFL2b0DgJ8OI3YAUGke\nnnFpcz1tbr85bS1qa1LZoREBq86s0+kYeLu3U/HKCR+3dtw+z2XO5006eZ1m29wVa7PzUye7\nha5rbFm8cpVJk9La5R6oq1DlKoPtTgD+yxDsAKDSOHjw+s2Lm2+qU1iSFrfGyOff/M2Pi1ce\nM0vwyWXnoe6D6feDbLZHRm98nPt2Ur3dwqx1e0v5iNOXPRbdPhGWnmVh6rJ03MFhxtr5uTdV\np7YvfHrs5raa043/vdV6j+Ua1ek293a+CcnlmrVvNm3/IDcBiyKEZKdec9u3+Gp4sEjVqn/r\nZdt6DaZFoTz3lgkLfHruXGQw6e0Jwy8q7k0KpmKTIg+O/Wf9/ag3Un7N/m2X7ewxUCpf+ayF\nQWV+g5UB250A/Jfh5AkAqDQfhOJ2uuqyJeo6HcVCX4WVz2blnOvkasZhn7jwyLLRIX0WS2Q7\nMTe7cyntpycuGHj23Mk5d5z11a8EdBu/btawNX+VVDkrbf0heknAwhPc7OBZW4c4CWu9GdWZ\nlqb19u7Ndtl2b0yv/NQ7HhuHdVSpd7W9Ck3njjgb/ZfX+9+0dcX5XwpaEAvfOK0a07jbwceT\n2mfEXxq1acQAHbt/HYhs5Yp/ST/djWVviaLtToIjXympRwBQdRDsAKDSuBtqTT558NaQMQUT\nlLQ04/CpcVqG7gort+TzTsSkOlpkTguPG7CwASEkNeYwV6VOKe3TtJDQ0uSsFJZZjSF973fv\nqmBHj+8o1atjF9bgsomB6V6PMaZ+EyWjPqV88bxPt8nuN5pFCNHqu3tcm3q715P2c2k6r+/I\nefW15FJpdOj0ONX+H3sNJoQQrVGH+21rcXoXcRirsHJ1EzT3n9svj0Vk5hZcSsRxkw75CHdm\nKLdXAPCzIdgBQKWZ47n7is8w40c+Dpa1NUjWh6igGKr+wYWzFVZe7zrot9W2Rzh52Vqufqa6\n7wLHtT2y165jYCntaxuuOTOIt/HM6KlRUVbWLsPbe891aFJSZRWeXQ3u123bNPV7iUWbv4gl\neZFhwtwXRtO/z59q8uoXvGinxivSQmpkEl/998JLk/o1hWceEjJWYeXq5uqBpr2fixupx77O\nt2lmwH0a9ti16z/K7hQA/HQIdgBQaQR6fR+tibr2/PyzuIh8whvUZmFPu04GHMWr72u12htp\nOe5+UkaLhl34FKWh22TpH8PHNmtZSvuZCY8E1tOutFtBS7OCXu1uscWxWf3s1hQhhEgIKQhx\nEQmZxJgQQkT5LyLEEmsOmxCSlXKZzTE2ZbMTDfX4gsGJa79O4ApzQl8maxKSQQhRKbYMVttS\nN/fmBUKGFVzGv4tQ4TkUvC5eubqZ/fjdthUpQzlXLdam3fIaHfZkyKCP1e5xQACodAh2AFAJ\n4jPiC183rtW1ca2vr6U5ifGEGGkaFb8lJ/3uyqsbXqUkb72+prDwn9veN2fdLOlT0hJ8O+2K\nP+11uJWhLkVnE0pVh83isG25FDUn+MXKxnVehWyaEpNcuxEhhNB0buc9q84MGM/NejZzq39N\nh0NcihjVXGeR+9vwC11WtO7My33ltann55Y3bxor3nXPrO5a/bxmgy+5rm/dLj3+0sh/n7Yb\nvJcQqcLK1U2YSNxKnafK7c3NGkLI6Jr2G17v7UgG4zE7AIZDsAOASmA807iUdxUeeLB0Te+j\nal3mNB+kwS7vhprmvx1a0nTw2LUNE4Qca2OH1ROfNuVxCbG4Ncht1KF267enqet0XNWmTsEm\nH6pqXdeYvevnVydGot2miffDoT0JIWyu7b15B8Yf8XO6PFKqat6z5Zob3e2IOFThx3F5jYO8\n/H8/5FXrTJSefr2uXQ/sbF1bKlJcuboZLFDzef5yj4N9J3LtSb6okTRcKs1WdqcA4KfDdicA\nUAlKOkaigKJth6WaE7kBG3Obq6pUVh+EeUk0T59HEUJIWqK7qU9EzobzldX4Lyf2vU+zP5es\nWZ1R73aX1oGZtiQsx3b3+wmDlN0vAPi5MGIHAJWgwidG0BJtFitWJCaVF+xUVPUrqykGMKm9\nIGrL1HwWn9/j5lmjAxHEeHizbsruFAD8dAh2AKAMFPfc8EldfAcmDZnlbGKtJjMba6Vn9f/l\nLdr2AAAdJklEQVQ3r8JrOrCJMk+wUC6azj4ZfHlAkwF8QgjhtHcYo+weAUAVwVQsACgHNV7x\nwlKFD+RBRTXz4G1dk+lUeQOiAPBLQLADAOXIF+crLOdxqvsWcb+E2ND1I+5k+vYaU1tLq3A4\nVIuvpcw+AcDPh2AHAMpES3MTs9IMNU2U3RGm4bvxaYkwXyq3OQtGQwEYD8EOAJSDlmauOuTq\ne/daplRK+9NrVjUPrTN2c59xatV+799fgsJ1yhVe4wIAvxosngAA5bh1pNWq93X2z3josaEl\nIaR3t3EXD3g6ZVm9HNFZ2V1jgi03t8heUoTNU1Ez0avTpn5nKz5XWb0CgJ8NI3YAoBz27rzf\nvZM8dQU2btyP20SEkMzkLXqLtwq3vlV215jA82DXjbevWFk62+nrp6SE3Puc0NOuY3pq6P2o\ndO9ZwXNtFJwFAgAMgBE7AFCOaLHElic3dMTl20glScrqD8OYRz3vP+LJiTZNCy6D7w4e/sH1\nzfyB4SHT7HetmbtqrXK7BwA/SXlP8gEAqFwLLPW9ju/P+zZnIBZ+WbV7sr7lQqV2ijl8IhKX\nNm9UeNnQcdH7R26EkBoNVuRm/XcP5ABgPAQ7AFCOiVOPWbzz0ptpGy2WtPZzMJlmvTXF/ozn\nJGX3iyF6Cvi+T94UXoY+9VNV70gIif34J0+tvfL6BQA/F56xAwCloencR6E33sR/zKU0apm3\n6GhTD39rVpbkzzsc/Dw4Fi6N9fRSU0LuxrK3zLrTNXNSzc03Fk57ubgu9pcBYCYEOwBQJjFN\nOBQRCyMCXgcbmLRxMNZVdo+YQ5j78czz6+8SvqgIaro6j6ipwsnLfB5N6toIVJXdNQD4WRDs\nAEA5Ej5u7bh9nsucz5t08jrNtrkr1mbnp052C13X+L97xisAwP8J8x4AoBxzts/VddkxT0cQ\n837KXVG96A1R76aO2Ll/sbL7BQDwC8N2JwCgHGezcs51cjXjsE9ceGTZ6JA+iyWynZibjd2J\nAQB+HEbsAEA5WvJ5J2JSxcKwaeFx3bs3IISkxhzmqtRRdr8AAH5hGLEDAOVY7zrot9W2Rzh5\n2Vqufqa67wLHtT2y165joLL7BQDwC8PiCQBQmpiou/eTMlo07GLGYUe/2nY+t97YZu04lLK7\nBQDwy0KwAwAAAGAIPGMHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAA\nAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAA\nwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAM\ngWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAI\ndgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAH\nAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAA\nAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAA\nwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAM\ngWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAI\ndgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAH\nAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMwVF2BwD+K2JiYpTd\nhf8wWmhmXkO24OGnzxYq7GrdMrOYmpoquwsA/wkYsQMAAABgCAQ7AAAAAIbAVCwAgJz1U8a/\nyBIWXnps+auZgKvE/gAAlB+CHQCAnOe3blxPyyu8HCyWEIJgBwC/BkzFAgAAADAERuwA4D+A\n4mzevFm2QI9TSX/W/ryWAQAqDsEOAP4LWP379//VWgYAqDD8ZQkAAADAEAh2AAAAAAyBYAcA\nAADAEHjGDoDJ8pPCLpw9d/Ne0Ms37+OSkoUsdWMjI2Nj45q/NW3XsVs353r/5992n55dv3z9\nzuNnIeGfPsWnZObmibiqfE09I2vrmo2aOLRq27mDg+0Pf0R2dMiFq3efBT8LefUhKTU9PT01\nn/C0tLS0dAzqNGjU2M6+Y48+dQ1V/7+fgJkkeQk3L16+c+9+aERMQnxCfEJ8rpSnra1taGFj\n19jOwaVjz7b2qvi7HoCJKJqmld0HgP+En3RWrH/LeksjMwpec/i1I8NuFrwWZ3/a7L1s5z/X\nM8XSku7VtGo2bc7CSX0cKv6x0gcnd6z7c9uD8NTS62laNZ00dcaUwW05VAVa//zg+Lqtu0/f\nChGX+guKYvGadR7oOXdB21qaZbZpb22ZIJIUXsqe6JqXetGmwfhy9q3D+ef77Q3K2XJm1Ja6\nzVfKVnZaE3hymE05P6vAO/+e7ZcGy5b4PX0/0lhdYWVh2jv/tWt2HgpIFkoUVijA0605cPzU\n2W4DqmwNL86KBaga+JMNgIESnx7q0qz92oNXS0l1hJCMyCfL3fq2Gb0sMr+0EFCEMC1k1sCW\nrh4+ZaY6QkhG5NPVM4c79HJ7kJBbnsZpSeZ2rwEtXKcdv/mi9FRHCKGl+UGXD47s4LBw/9Ny\ndb3KCSzcWmjyZEvebDpW0Ub8t72TvVQzHFhSqnv+72qXpp1991wqPdURQvJTwg+u8nS073Lw\nwU/5ewMAlAXBDoBp4gI3tu4/NzRDWHZVQgghYVd3dWk//m2OuDyVs74E9GnV98j9qAp1KSH4\nzFDnbsffpZdejZZkLnN1WXH4YYUal0qy9s7vM/2fd2VXVQLW/EHWstdZX3Y8zyrXV10gL+XC\nkYQc2ZLGXh4Ka55cNqyH58aovAo1/mbuoJae/o/KfwsAVHMIdgCMkvn5RJdR64oM1KlqGdT6\nza5Fs8ZWpgYcloI50cyIKwO6z0wrdXiPECLMfDKo48SQtPzib/ENzBvaO3Xo0rF5k0aWhgrG\nk0TZH2b26H0zMa/4W4UuzOnl/ziheLm6nnnTFq06dO7WqX2bZg1s1IvNHtI0fXxO32sppTWu\nLPXc5SZ5aVrse/VL+W8P27NJ9pLFVvfpZ1W82lUfV49dt4uXs7la9Rrau7Tv0r51i/q1rThU\n0X99Wio6vmyA574X5e8SAFRnWDwBwCDSbM++c5Nknvdq2m+i28ihnZ1qFUah/KQPZ0+c2LFh\nZ5EhvfQPxwcs7nHdt3OJjdNi7/6jX2QWHQhs2GOC5x9DOjWvw5bpx8cn14/u3bT11DPZmuLc\nsMl95wTf2cBXFC6zog+5/RMmW0JRHOdBHh5jh7WqL/d4liQ/8cbJA77LNr+X6YxUnDF/2pWO\nB/qU2P+S8bTaP3r0fdRqRieXexnfw+uqgMC2Wt+nU/lGehVqnG8wtKfeovPJ32eiX649Tfp5\nlvP2DXvlvhN9u6V1+EV/b0dfXTpme9FhTsOGnb1mTOrezkGb+z0H5yWFXz33z7rV/h9k/vVp\nmj6+sF+TFsGjamuVs1cAUG1h8QRAFamCxROy2FzDuduPuHWrq/AucXb46qmjtl7+JFtIUZwN\nj9+4mip+fivi+PhW0y7KlrA42l5b/5nas2FJfXsXsHPwBJ9EkdzzXi4rbhwZU6d45UsjHcfd\niP7eGRbHc9fNWd1qltR4fvKj/i0HP88SFZawOTrPPobol7AaoJQlDkWMqm9zPe374J//q4/d\ndUpbe1tmy282deu0KqTwkmKpXHv3oa5a2X9X5yQcqmU/W7Zk9KUQn0ZyyVKc97FTg/bvc7/P\nwFIsjuuCPesntS9pRkaSH7t6/IAt1yNlC1X12r18fkBNUeauFFg8AVA1MBULwEAsttrsw1dK\nSnWEEI56zfn+16a3M5MtpGnxivFHFdanJZlTFlyVLaFYqtP3BJSS6gghdTpPvHLIS40t93vm\nvu/kVEVzvmsexste1hyyp5RURwjh6Tnt2tpTtkQiTvWPzS7lFmWxGTVT9pKWClfcKlfKD93y\nt+wlV73h4gZFxwuDlo+TTXWEkOGbrm0oOdURQtg8k3n7bi9oL5e08pJvup/9XJ5eAUB1hmAH\nwECNPY+5tzQsoxJLdcbeS0XWbCa9WHYzXcEjdLG3Z8qOjRFC6o7dP6O9WfGaRRi18jg0qb5s\niTjn3fRr0UWqiXNev5NfvTFshlOZjZu09daQT43Bb9PKvKvq8bQ7jjHWkC0JXn2pHPdJV/4b\nIXtdc/AKnvzvbEl+5KRDH2VLbIfvWtWvVtltU9yJf590EqjIlgUu8ilHrwCgWkOwA2AaFYHj\n/qmNy1OTxdHbsmuobAlNi9ccCC9e87T3PdlLrvpvBxY0L2d/mnntb6jOlS157HOqSB1xXkSR\nksYaXFIWFkd3WLvWLWTYSn7WTOL/afT032QvM8LXfCpr+WpW9M77GXIhe8b0BkXqfLk8X/aR\nSo6K6d/eXcrZJbaKxXqf1rIluSkXziZXxwUoAFB+CHYATFN3io9uuXedNW69opP8A2Qf9xSd\njZWKEzeEyz3GV8N1pQlX8QNqxbG4hr5D5CZVMyI2xovkZmPZXAP5m8jV2BxSDkv2HT4uw7eb\neTl7VcWs+i6SXZEqleR6348vpT4h5OWaw7KXAvPxPXWLPup3ea3cxsWWfTbZqlZgSZxVn816\nHLl/x/13y+gVAFRzCHYAjEJRrHm/21bojtkTa8teZyfsj5NPXVnRW7MlciUTPeXGn8pUz2OC\n7CUtzdsWnSVbwuHX5ctPqv4zfqXCR/F+UVyNJtOsBLIlT1deK+0GWrzsotxmgQ6L/yhaRZK5\n4XOmbEmfYkN6paM4Wh7yvYo6gcfsAH5tCHYAjMLTaueiqVJ2PRnWg0fIXtLS/OOJcqNl8bfl\ndi3hqFoPNlSr0EfwDYbUlB9JCg6UGxmiOJpjjeRW46aHHXTpOfnqKwXb2v2iXOc3lb1Mfb8y\nuuTzIdI/rXuZLbvgV3dlp6JPNOYmn8qQyb4UizPRXINUUJOWcmOl6e+eVLQFAKhWEOwAGEVg\nPaiit/D1+2nKT93eey838RoXECd7qWY47AceZBtsyJdr80pckQojlrcvUpLy8vyYrk3auY7f\nfOD068iUin9m9WLaYansAmGpONM7KLGkyk99T8teGrX0NS+2OUtWhNw6ZRVBSwG7wv8ygjpy\nI3binLcVbQEAqhVsUAzAKMYdalT0Foql1keXfyDh+0YhaS/SSNvve2FERshNm+o0bPIDHWva\nWJfIzBtmRxad8rPosnFkvcADb+XOn6Vp+v2Di34PLvoRomlay8nRydHRwdHR0a6uJaeaLpMo\nEUfVdn4dnYVvkgtLHvneJBeGFq9JS3OW3JTbD8V1uUvxainBcmE3Pz3QzKzsdcqlEyHYAfzi\nMGIHwCjqVoq3Fy5dU4HcEtSMd3IjdhF5cjOGfAu5sbcf65g490PRGhR3xbkzro1LPNchI+bD\n1dMHfeZP69OxhW29pgP/mLbt4LnIDFFJ9auhbktayl6mvPJJVPQcYWqob7jMmlmeZqtZtgrO\nhMj+VPmb9knFJQ4iAsAvAcEOgFH4Zj+SunTl9zMTpsmfNiaRO59GzaxiD9gVUDWRW9EplaQX\nr8Ph22w4/3DjrKGGJZwJUUiUGXf/ynGfOZOcGzYc4rYoMExBa9WQoZO37CpUiTh1+fOk4tUe\neF+Wvaw1brHCr6PIP1OloCXlWowMANUWgh0As/zQBCUl/1CGRH6IjiaVcPAgR37xBE0rDiUU\nS811+tqgl3fWzpvY1KbsU1ml4sw7Z3YPa2c3eunBPGl1PyCRxTVc2lRftuSOz70idaTitMWP\nvi8ZoSj2ovG1iSLUT5iNpmlJPnPWIgP8F+EZOwBGyf2SS8o+sqHYXZlym+WqyK+r1ZLfiCQn\n+kcGdXJi5O5isUs7b56jYTXUffFQ98UxoY+uXbt55+7dB49fpuaXuKMvLRVe9Z/j/Dri7tEF\nqj/ttNNK4bK4I+lxqPAyOdg7TdxXWyaiJb1YGiezWlbLZqZzCcucVbTlyjWtll491u3/76EK\n/t4H+JUh2AEwSvbnH3nu6pX8cWF8U7n53BqqcjOBuVG5P/AROVFywY7NK9dj/qZ1nUbVdRrl\nTmhp7vvnQY8ePnz48NGjx0/jMhU8Whd7f3vfJS6XFa0zqD70Gi6y5B39/C2kSkQJPq+T1zT+\nPox3a+lt2fqtvUtc5qxhK7e5CU3nm5tX0/2ZAaDK4E8zAEaJuxZR8Zskp5Lkspq2nbbspaWl\nXIBIfSl32kE5vQ+WW+6qalC3QrdTLH6dJi6j3GZv23/i6dsPt84d8hrbr/ijeK/3TwhSlPmq\nD4ot8G5tLFty0/dR4WuJKHZZyPen7jg8M99WRiU1pd1IbqpakvO+8roJAL8qBDsARsmM/Lei\nt+SlXI6Sn+Ws01QuMRh3kssWOQmHSMUdjJHbM8WovXFJNctGcWs1aevpveXxi4CRjnL760rF\nmX4B0T/ecpVwXNRH9jIxaHnWt+UpCQ+WpMmskzXr6FfK6XAa5h1kL/PSAkTV/SFDAPjpEOwA\nGCU/7ca9jIotlowJ2FOkZLCR3LpX47Z2spfivIhjiRWbjc1PvSR7jgIhpG5Xkwq1oBBXs67P\n0Yv11eX2agnfE/b/t/xTadl4NZDpszg/atWHtILXl7wfyNYcvdixlHb4ur0FHLkdj/fFVXgi\nPiH0dYiMyLwSH2QEgF8Cgh0Ao9C0xPdQeIVu2bzqheylqk4new25qKRhPqXIQa47NlVsG9vQ\nnetlLymKM9VaU7ZkdPfOHWRMuxRFyoetYrrIWW7wLy8lokJ9UwKKu6SbhWxBgO9TQog47+PK\n92mFhXzdHhNKPSKM4mhNNpOrcHDTywp1RCpO6t6tezcZ19PzK9QCAFQ3CHYATPNm08I0cXnn\n5JKC1xxLkFvWYNZlUpE6LK7xVPmj4sOPzk8QlXdXDKk4eeFeuVE0DfOJRY6OZX3+GCrj0bGI\ncjZOCBFYFNmTucQDWKuPRrOHyV7G3ffOk5LYm0tzJN+/1d88Z5bZTg83uUcVw49Mfp1TgSG3\nyNPTY4Xf63N4VsMMfmSTQgCoPhDsAJhGmPHg920h5alJizOmj9pRpHCsV8PiNfsvkttDRZT9\ncoTfo+LVFHqydsSzTLnZ4abzhhep005XbvvixMe7yv+02KsHcocl8I1tyn2r0miYTWqtxSu8\nFOd+XPcp/ZTv08ISisVbMaTsH8S67xLZwVSJKGHstH/K2QeJMGry/DuyJcYui6r5ZjEAUCYE\nOwAGerZ24M7HZZ0NRYu2Tup6IyVPtkyzhtvvxgoOJTNr/2eRR9ne+o/cdCeuzJ7E39syYtsr\n2RIOv9bGHhZFqjXpJ1eSl3Zj6b34MhsnhOTEBywNlVtvW2NYJQc7+qesSKDmDpI71ffU4n3r\nIr6f5KZbf1Ej9bK3o+Jo2K1vZypbEnVxjtvu52V/Pi3eNW5AkQcfp69qU/aNAFC9IdgBMJBU\nku07uLv/9RKXEYhzP69167zyUqRsIUVR7n9NUVif4mhvWyy3P5xUkrt2ROedAe9K6ca7gJ2d\nhq3OlshN2jov2KlfbKVnjeEjipTs/X3QqZfJpTROCMlNeDihu3uuTPsUS2VOl0reyy2y5I2R\n/x91pshNecfeWiWWOTmjs0/PcrbTZeMaLfnv8+ziXiOX7M+SlBhIpeK07R5dVlyXWz6s33j2\nECPMwwL88hDsAJhJLIxZ9ntb1+l+N4Ll0psw9dPJv9d2d2j759mi255Z9V4/pa42KYHt8L+H\n15I7LkIiTvYe077nFN/rzz7Jhwg6IvjGSvde7cd4J4vlnnjTsh26+/c6xRtXMxwxVv4xPnFu\nmEd3x+GevrdDPhV/YjA98sW+tbNaOg26Kb8O1KLrekcBt2jt/8+Nm+UaO6wovsHAvvqKD/bl\nqNVZZqev8K3ieNouh2e3li2haemNv+Y5dR655ciVxHy5718qzgw86T/I2WnFqVDZcjbXcOvh\nos9WAsCviKJ/zjQDABQRExPzM5r1b1lvaeT3KTzrYS4RhwOL1BEYmFqYmenypfExMZ+j4vIV\nnakqsOx2O3CXEbe0P/aEaQ97OA15k6VgB2CBac1aFqZG+oLMpPiYqA/hMZnF63A1fjvy6HwL\nbV7xtwgh6e/8G3VYJlb0G4krMKxf10ZXW1tNhc7KSP8cFhoem1q8morA7nLwmTp8xTOY9taW\nCaLvKefhp88WxfY3LjDLvtYRmQUlLI5mn5Gj7W1NVChpelI0z3XqePkMWv6Wi3i7tXtH3xfF\ny22GHg9c26I8LXwj3TSq5arrCpYSs7maljWtzMzMtFQkKYnRr16EZoqLrnqhKPaoTbd9+9co\nfnslMjU1LbsSAPzfEOwAqkjVBLtOV0PGXZ8z2O9ShRpRN3U5en2ffQlnksrKjLzQv4v7m8yK\nbZVHCFER1N9y5UQP+UhUxOPNY/r5BVS05QJcjbpbA06X0n7549f5AU0mPixxlK7D+ef77eV2\nRf7hYJeffsOm/qjiv4TXB4cNNlQ8mFcSWpLp83un7TfLu01MIYpiD191ftXwRhW9saIQ7ACq\nBqZiAZjG2eOvI4tHapd8YkERVm1GX7x9oDypjhAisOpx/v5JV8eKbS9s1nzQqQfnSk91hBBH\njz1Hl45QY1f495JxU9d/714os/1yarVidKW0UyaeVvuxxZaqqBuNqGiqI4RQbMHCA3f+dO+p\nUpFlrTzdhsv3366CVAcAVQbBDoCBXCb6PbpzdGAL69KraVs1nbvx+N3DPrZqZS/ALMTTtd94\n6tHRjfOa1yjxgbxCOjVbzN/078MTf9rpKJ6BLcJ5/KqnNw6N6taUU76AYtKg3eKtJ4PObnQw\nUC27dvno1Jt6eHYPDlUVG3+MmtmgSIn9/B991o3iDpq38+nlfSM725X57aloWg/1WHYr6PyY\n9j93BhYAqhimYgGqSJVNxe797ftJr8kfn509d/bKrUdh4ZGpGdkSrpqxkbGRsVFtO+devXq5\nNLb6/z6cDn96/fL1u4+fvQj/FBGfkpGbK+Ko8rX0DK2sazZu4ti6Y7cOTWv+WD7KSwgLuHrj\n4eOnoWFhX2ISktMzRSIJl6+hqamprW1Qq0FjOzs7x1Ztm9UyKLutH5Lw/Mqu/cfvBAVHxiZn\ni2g1vrpA18DKumZ3v41jLStnaPDnyYkLvXAx4P7DoLcfPkbFJmXl5nJ4Gto6Onr65o0dHBwd\nm3fu7KzFqdIt6zAVC1A1EOwAqohSgh1ANYFgB1A1MBULAAAAwBAIdgAAAAAMgWAHAAAAwBAI\ndgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMgWAHAAAAwBAIdgAAAAAMUYGT\nvwHg//GTjlSyadjYTiez8PI3S3NTU52f8UEAAFD94axYAAAAAIbAVCwAAAAAQyDYAQAAADAE\ngh0AAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAAADAEgh0AAAAAQyDY\nAQAAADAEgh0AAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAAADAEgh0A\nAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAA\nADAEgh0AAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAAADAEgh0AAAAA\nQyDYAQAAADAEgh0AAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAAADAEgh0AAAAAQyDYAQAAADAE\ngh0AAAAAQyDYAQAAADDE/wBpze9i5FQ8SQAAAABJRU5ErkJggg=="},"metadata":{"image/png":{"height":420,"width":420}},"output_type":"display_data"}],"source":["library(reshape2)\n","library(wordcloud)\n","tidy_data %>%\n","    inner_join(bing) %>%\n","    count(word, sentiment, sort = TRUE) %>%\n","    acast(word ~ sentiment, value.var = \"n\", fill = 0) %>%\n","    comparison.cloud(colors = c(\"red\", \"dark green\"),\n","                     max.words = 100)"]},{"cell_type":"markdown","id":"fc48d9c1","metadata":{"papermill":{"duration":0.016735,"end_time":"2024-08-02T15:46:04.506204","exception":false,"start_time":"2024-08-02T15:46:04.489469","status":"completed"},"tags":[]},"source":["- This word cloud will enable us to efficiently visualize the negative as well as positive groups of data. Therefore, we are now able to see the different groups of data based on their corresponding sentiments."]},{"cell_type":"markdown","id":"bc757409","metadata":{"papermill":{"duration":0.016583,"end_time":"2024-08-02T15:46:04.539205","exception":false,"start_time":"2024-08-02T15:46:04.522622","status":"completed"},"tags":[]},"source":["# Summary\n","- We went through our project of sentiment analysis in R. We learned about the concept of sentiment analysis and implemented it over the dataset of Jane Austen’s books. We were able to delineate it through various visualizations after we performed data wrangling on our data. We used a lexical analyzer – ‘bing’ in this instance of our project. Furthermore, we also represented the sentiment score through a plot and also made a visual report of wordcloud."]}],"metadata":{"kaggle":{"accelerator":"none","dataSources":[],"dockerImageVersionId":30372,"isGpuEnabled":false,"isInternetEnabled":true,"language":"r","sourceType":"notebook"},"kernelspec":{"display_name":"R","language":"R","name":"ir"},"language_info":{"codemirror_mode":"r","file_extension":".r","mimetype":"text/x-r-source","name":"R","pygments_lexer":"r","version":"4.0.5"},"papermill":{"default_parameters":{},"duration":85.887506,"end_time":"2024-08-02T15:46:04.678366","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2024-08-02T15:44:38.79086","version":"2.4.0"}},"nbformat":4,"nbformat_minor":5}