From 02e313ac14dc4e59436854dbb34deb9cf572150f Mon Sep 17 00:00:00 2001 From: Michael Reeves <147089975+mreeve-snl@users.noreply.github.com> Date: Tue, 21 Nov 2023 15:06:26 -0500 Subject: [PATCH] Revert "Release 1.1.0 small (#60)" This reverts commit dbca32973f68eb61028dc55c2b93b239d48b9bce. --- .github/ISSUE_TEMPLATE/bug-or-error-report.md | 59 ----- .github/ISSUE_TEMPLATE/feature_request.md | 20 -- .../pull_request_template.md | 39 ---- .gitignore | 15 -- CONTRIBUTING.md | 45 ---- Chapter 3 Files/.gitignore | 1 - Chapter 3 Files/deploy.sh | 202 +++++++++--------- Chapter 4 Files/dashboards/Readme.md | 46 ---- .../dashboards/alerting_dashboard.ndjson | 19 -- .../computer_software_overview.ndjson | 12 -- .../dashboards/process_explorer.ndjson | 9 - .../dashboards/security_dashboard_home.ndjson | 6 + .../security_dashboard_security_log.ndjson | 62 +++--- .../dashboards/sysmon_summary.ndjson | 22 +- Chapter 4 Files/dashboards/user_hr.ndjson | 10 - .../dashboards/user_security.ndjson | 82 +++---- Chapter 4 Files/export_dashboards.py | 165 -------------- Chapter 4 Files/requirements.txt | 2 - RELEASES.md | 43 ---- docs/markdown/chapter4.md | 6 +- docs/markdown/logging-guidance/filtering.md | 52 ----- docs/markdown/prerequisites.md | 4 +- docs/markdown/reference/troubleshooting.md | 65 +----- testing/SetupTestbed.ps1 | 9 +- 24 files changed, 194 insertions(+), 801 deletions(-) delete mode 100644 .github/ISSUE_TEMPLATE/bug-or-error-report.md delete mode 100644 .github/ISSUE_TEMPLATE/feature_request.md delete mode 100644 .github/PULL_REQUEST_TEMPLATE/pull_request_template.md delete mode 100644 CONTRIBUTING.md delete mode 100644 Chapter 3 Files/.gitignore delete mode 100644 Chapter 4 Files/dashboards/alerting_dashboard.ndjson delete mode 100644 Chapter 4 Files/dashboards/computer_software_overview.ndjson delete mode 100644 Chapter 4 Files/dashboards/process_explorer.ndjson create mode 100644 Chapter 4 Files/dashboards/security_dashboard_home.ndjson delete mode 100644 Chapter 4 Files/dashboards/user_hr.ndjson delete mode 100644 Chapter 4 Files/export_dashboards.py delete mode 100644 Chapter 4 Files/requirements.txt delete mode 100644 RELEASES.md delete mode 100644 docs/markdown/logging-guidance/filtering.md diff --git a/.github/ISSUE_TEMPLATE/bug-or-error-report.md b/.github/ISSUE_TEMPLATE/bug-or-error-report.md deleted file mode 100644 index 210ff5ee..00000000 --- a/.github/ISSUE_TEMPLATE/bug-or-error-report.md +++ /dev/null @@ -1,59 +0,0 @@ ---- -name: Bug or Error report -about: Report issues, mistakes, unsolvable, or unresolved errors to help improve the project -title: "[BUG] ERROR YYYYY in step X.X" -labels: bug -assignees: '' - ---- - -## **BEFORE CREATING THE ISSUE, CHECK THE FOLLOWING GUIDES**: - - [ ] [FAQ](https://github.com/cisagov/LME/blob/main/docs/markdown/reference/faq.md) - - [ ] [Troubleshooting](https://github.com/cisagov/LME/blob/main/docs/markdown/reference/troubleshooting.md) - - [ ] Search current/closed issues for similar questions, and utilize github/google search to see if an answer exists for the error I'm encountering. - -If the above did not answer your question, proceed with creating an issue below: - -## Describe the bug -A clear and concise description of what the bug is. - -## To Reproduce -Steps to reproduce the behavior. These should be clear enough that our team can understand your running environment, software/operating system versions, and anything else we might need to debug the issue. - -An example of a usable reproducible list are shown in these issues: [Issue 1](https://github.com/cisagov/LME/issues/15) [Issue 2](https://github.com/cisagov/LME/issues/19). - -To increase the speed and relevance of the reply we suggest you list down debugging steps you have tried, as well as the following information: - -### Please complete the following information -**Desktop:** - - OS: [e.g. Windows 10] - - Browser: [e.g. Firefox Version 104.0.1] - - Software version: [e.g. Sysmon v15.0, Winlogbeat 8.11.1] - -**Server:** -- OS: [e.g. Ubuntu 22.04] -- Software Versions: - - ELK: [e.g. 8.7.1] - - Docker: [e.g. 20.10.23, build 7155243] -- The output of these commands: -``` -free -h -df -h -uname -a -lsb_release -a -``` -- Relevant container logs: -``` -for name in $(sudo docker ps -a --format '{{.Names}}'); do echo -e "\n\n\n-----------$name----------"; sudo docker logs $name | tail -n 20; done -``` -Increase the number of lines if your issue is not present, or include a relevant log of the erroring container -- Output of the relevant /var/log/cron_logs/ file - -## Expected behavior -A clear and concise description of what you expected to happen. - -## Screenshots -If applicable, add screenshots to help explain your problem. - -## Additional context -Add any other context about the problem here. diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md deleted file mode 100644 index bbcbbe7d..00000000 --- a/.github/ISSUE_TEMPLATE/feature_request.md +++ /dev/null @@ -1,20 +0,0 @@ ---- -name: Feature request -about: Suggest an idea for this project -title: '' -labels: '' -assignees: '' - ---- - -**Is your feature request related to a problem? Please describe.** -A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] - -**Describe the solution you'd like** -A clear and concise description of what you want to happen. - -**Describe alternatives you've considered** -A clear and concise description of any alternative solutions or features you've considered. - -**Additional context** -Add any other context or screenshots about the feature request here. diff --git a/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md b/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md deleted file mode 100644 index 12d7fd5a..00000000 --- a/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md +++ /dev/null @@ -1,39 +0,0 @@ - -## ๐Ÿ—ฃ Description ## - - - -### ๐Ÿ’ญ Motivation and context - - - - - - -### ๐Ÿ“ท Screenshots (DELETE IF UNAPPLICABLE) - -## ๐Ÿงช Testing - - - - - -## โœ… Pre-approval checklist ## - -- [ ] Changes are limited to a single goal **AND** - the title reflects this in a clear human readable format -- [ ] I have read and agree to LME's [CONTRIBUTING.md](https://github.com/cisagov/LME/CONTRIBUTING.md) document. -- [ ] The PR adheres to LME's requirements in [RELEASES.md](https://github.com/cisagov/LME/RELEASES.md#steps-to-submit-a-PR) -- [ ] These code changes follow [cisagov code standards](https://github.com/cisagov/development-guide). -- [ ] All relevant repo and/or project documentation has been updated to reflect the changes in this PR. - -## โœ… Pre-merge Checklist - -- [ ] All tests pass -- [ ] PR has been tested and the documentation for testing is above - -## โœ… Post-merge Checklist - -- [ ] Squash all commits into one PR level commit -- [ ] Delete the branch to keep down number of branches - diff --git a/.gitignore b/.gitignore index 5b650322..e9834201 100644 --- a/.gitignore +++ b/.gitignore @@ -1,17 +1,2 @@ *.pdf .DS_Store -/.idea/ -/.vscode/ -/Chapter 4 Files/*.dumped.ndjson -/Chapter 4 Files/exported/ - -#created files should be ignored: -Chapter 3 Files/certs/ -Chapter 3 Files/docker-compose-stack-live.yml -Chapter 3 Files/logstash.edited.conf -Chapter 3 Files/logstash_custom.conf -LME/ -dashboard_update.sh -files_for_windows.zip -lme.conf -lme_update.sh diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md deleted file mode 100644 index 0b5672de..00000000 --- a/CONTRIBUTING.md +++ /dev/null @@ -1,45 +0,0 @@ -# Welcome # - -We're so glad you're thinking about contributing to this open-source project! If you're unsure or hesitant to make a recommendation, just ask, submit the issue, or pull request. The worst that can happen is that you'll be politely asked to change something. We appreciate any sort of contribution(s), and don't want a wall of rules to stifle innovation. - -Before contributing, we encourage you to read our CONTRIBUTING policy (you are here), our LICENSE, and our README, all of which are in this repository. - -## Issues - -If you want to report a bug or request a new feature, the most direct method is to [create an issue](https://github.com/cisagov/development-guide/issues) in this repository. -We recommend that you first search through existing issues (both open and closed) to check if your particular issue has already been reported. - -If it has then you might want to add a comment to the existing issue. - -If it hasn't then feel free to create a new one. - -Please follow the provided template and fill out all sections. We have a `BUG` and `FEATURE REQUEST` Template - -## Pull Requests (PR) - -If you choose to submit a pull request, it will be required to pass various sanity checks in our continuous integration (CI) pipeline, before we merge it. Your pull request may fail these checks, and that's OK. If you want you can stop there and wait for us to make the necessary corrections to ensure your code passes the CI checks, you're more than within your rights; however, it helps our team greatly if you fix the issues found by our CI pipeline. - -Below are some loose requirements we'd like all PR's to follow. Our release process is documented in [Releases](releases.md). - -### Quality assurance and code reviews - -All PRs will be tested, vetted, and reviewed by our team before being merged with the main code base. All should be pull requested into whatever the upcoming release branch is. Find that by searching for the highest SEMVER `release-X.Y.Z` branch or following our release documentation. - -### Steps to submit a PR - - All PRs should request merges back into LME's *CLOSEST* Major or Minor upcoming release branch `release-X.Y.Z`. This will be viewable in the branch list on Github. You can also refer to our release documentation for guidance. - - If the PR corresponds to an issue we are already tracking on LME's public Github [project](https://github.com/orgs/cisagov/projects/68), please comment the PR in the issue, and we will update the issue. - - If the PR does not have an issue, please add a comment at the top of the pull request describing the PR and how it fits into LME's project/code. If the PR follows our other requirements listed here, we'll add it into our public project linked previously. - - We'll work with you to mold it to our development goals/process, so your work can be merged into LME and your Github profile gets credit for the contributions. - - Before merging we request that all commits be squashed into one commit. This way your changes to the repository are tracked, but our `git log` history does not rapidly expand. - - Thanks for wanting to submit and develop improvements for LME!! - -## Public domain - -This project is in the public domain within the United States, and -copyright and related rights in the work worldwide are waived through -the [CC0 1.0 Universal public domain -dedication](https://creativecommons.org/publicdomain/zero/1.0/). - -All contributions to this project will be released under the CC0 -dedication. By submitting a pull request, you are agreeing to comply -with this waiver of copyright interest. diff --git a/Chapter 3 Files/.gitignore b/Chapter 3 Files/.gitignore deleted file mode 100644 index 750e3bcb..00000000 --- a/Chapter 3 Files/.gitignore +++ /dev/null @@ -1 +0,0 @@ -*-live.* diff --git a/Chapter 3 Files/deploy.sh b/Chapter 3 Files/deploy.sh index 18e2cb7a..a39c5832 100755 --- a/Chapter 3 Files/deploy.sh +++ b/Chapter 3 Files/deploy.sh @@ -3,38 +3,36 @@ # LME Deploy Script # ############################ # This script configures a host for LME including generating certificates and populating configuration files. -DATE="$(date '+%Y-%m-%d-%H:%M:%S')" #prompt for y/n prompt() { - if [ -z "$1" ]; - then - str="Are you sure?" - else - str=$1 - fi - - while true - do - read -r -p "$str? [Y/n] " input - - case $input in - [yY][eE][sS]|[yY]) - return 0 #true - break - ;; - [nN][oO]|[nN]) - return 1 #false - break - ;; - *) - echo "Invalid input..." - ;; - esac - done + if [ -z "$1" ]; + then + str="Are you sure?" + else + str=$1 + fi + + while true + do + read -r -p "$str? [Y/n] " input + + case $input in + [yY][eE][sS]|[yY]) + return 0 #true + break + ;; + [nN][oO]|[nN]) + return 1 #false + break + ;; + *) + echo "Invalid input..." + ;; + esac + done } - function customlogstashconf() { #add option for custom logstash config CUSTOM_LOGSTASH_CONF=/opt/lme/Chapter\ 3\ Files/logstash_custom.conf @@ -103,19 +101,10 @@ function setpasswords() { temp=$OLD_ELASTIC_PASS fi - echo -e "\e[32m[X]\e[0m Waiting for Elasticsearch to be ready" - max_attempts=60 - attempt=0 - while [[ "$(curl -s -o /dev/null -w ''%{http_code}'' --cacert certs/root-ca.crt --user elastic:${temp} https://127.0.0.1:9200)" != "200" ]]; do - printf '.' + echo -e "\e[32m[X]\e[0m Waiting for elasticsearch to be ready" + while [[ "$(curl --cacert certs/root-ca.crt --user elastic:${temp} -s -o /dev/null -w ''%{http_code}'' https://127.0.0.1:9200)" != "200" ]]; do sleep 1 - ((attempt++)) - if ((attempt > max_attempts)); then - echo "Elasticsearch is not responding after $max_attempts attempts - exiting." - exit 1 - fi done - echo "Elasticsearch is up and running." echo -e "\e[32m[X]\e[0m Setting elastic user password" curl --cacert certs/root-ca.crt --user elastic:${temp} -X POST "https://127.0.0.1:9200/_security/user/elastic/_password" -H 'Content-Type: application/json' -d' { "password" : "'"$elastic_user_pass"'"} ' @@ -171,7 +160,6 @@ function zipfiles() { zip -rmT /opt/lme/files_for_windows.zip /tmp/lme # Give global read permissions to new archive for later retrieval chmod 664 /opt/lme/files_for_windows.zip - } function generateCA() { @@ -421,6 +409,22 @@ get_distribution() { echo "$lsb_dist" } +#DEPRECATED +#function dashboard_update() { +# echo -e "\e[32m[X]\e[0m Creating dashboard update crontab" +# crontab -l | { +# cat +# echo "0 1 * * * /opt/lme/dashboard_update.sh" +# } | crontab - +#} +#DEPRECATED +#function auto_lme_update() { +# echo -e "\e[32m[X]\e[0m Creating LME update crontab" +# crontab -l | { +# cat +# echo "30 1 * * * /opt/lme/lme_update.sh" +# } | crontab - +#} function indexmappingupdate() { echo -e "\n\e[32m[X]\e[0m Uploading the LME index template" @@ -482,7 +486,6 @@ function pipelineupdate() { ' } - function data_retention() { #show ext4 disk DF_OUTPUT="$(df -h -l -t ext4 --output=source,size /var/lib/docker)" @@ -499,7 +502,7 @@ function data_retention() { echo -e "\e[32m[X]\e[0m We think your main disk is $DISK_DEV" if [ "$DISK_80" -lt 30 ]; then - echo -e "\e[31m[!]\e[0m LME Requires 128GB of space usable for log retention - exiting" + echo -e "\e[31m[!]\e[0m LME Requires 90GB of space usable for log retention - exiting" exit 1 elif [ "$DISK_80" -ge 90 ] && [ "$DISK_80" -le 179 ]; then RETENTION="30" @@ -609,8 +612,6 @@ function configelasticsearch() { curl --cacert certs/root-ca.crt --user "elastic:$elastic_user_pass" -X PUT "https://127.0.0.1:9200/_all/_settings" -H 'Content-Type: application/json' -d '{"index" : {"number_of_replicas" : 0}}' } - - function writeconfig() { echo -e "\n\e[32m[X]\e[0m Writing LME Config" #write LME version @@ -651,6 +652,23 @@ function zipnewcerts() { zip -rmT /opt/lme/new_client_certificates.zip /tmp/lme } +#Deprecated +#function promptupdate() { +# read -e -p "Do you want to automatically update LME ([y]es/[n]o): " -i "y" autoupdate_enabled +# if [ "$autoupdate_enabled" == "y" ]; then +# echo -e "\e[32m[X]\e[0m Enabling LME Automatic Update" +# #cron lme update +# auto_lme_update +# +# read -e -p "Do you want to automatically update Dashboards ([y]es/[n]o): " -i "y" dashboardupdate_enabled +# if [ "$dashboardupdate_enabled" == "y" ]; then +# echo -e "\e[32m[X]\e[0m Enabling Dashboard Automatic Update" +# #cron dash update +# dashboard_update +# fi +# fi +#} +# function bootstrapindex() { if [[ "$(curl --cacert certs/root-ca.crt --user "elastic:$elastic_user_pass" -s -o /dev/null -w ''%{http_code}'' https://127.0.0.1:9200/winlogbeat-000001)" != "200" ]]; then @@ -672,16 +690,6 @@ function bootstrapindex() { function fixreadability() { cd /opt/lme/ chmod -077 -R . - - #some permissions to help with seeing files - chown root:sudo /opt/lme/ - chmod 750 /opt/lme/ - chmod 644 files_for_windows.zip - - #fix backups - chown -R 1000:1000 /opt/lme/backups - chmod -R go-rwx /opt/lme/backups - } function install() { @@ -729,13 +737,13 @@ function install() { if [ "$old_elastic_user_pass" == "y" ]; then - res= false - while [ ! $res ];do - read -e -p "PASSWORD: " OLD_ELASTIC_PASS - prompt "confirm password \"$OLD_ELASTIC_PASS\"" - res=$? - done - fi + res= false + while [ ! $res ];do + read -e -p "PASSWORD: " OLD_ELASTIC_PASS + prompt "confirm password \"$OLD_ELASTIC_PASS\"" + res=$? + done + fi if [ "$selfsignedyn" == "y" ]; then #make certs @@ -853,38 +861,30 @@ function uninstall() { read -e -p "Proceed ([y]es/[n]o):" -i "n" check if [ "$check" == "n" ]; then return - elif [ "$check" == "y" ];then - echo -e "\e[32m[X]\e[0m Removing Docker stack and configuration" - docker stack rm lme - docker secret rm ca.crt logstash.crt logstash.key elasticsearch.key elasticsearch.crt - docker secret rm kibana.crt kibana.key - docker config rm logstash.conf logstash_custom.conf - echo -e "\e[32m[X]\e[0m Attempting to remove legacy LME files (this will cause expected errors if these no longer exist)" - docker secret rm winlogbeat.crt winlogbeat.key nginx.crt nginx.key - docker config rm osmap.csv - echo -e "\e[32m[X]\e[0m Leaving Docker swarm" - docker swarm leave --force - echo -e "\e[32m[X]\e[0m Removing LME config files and configured auto-updates" - rm -r certs - crontab -l | sed -E '/lme_update.sh|dashboard_update.sh/d' | crontab - - echo -e "\e[33m[!]\e[0m NOTICE!" - echo -e "\e[33m[!]\e[0m No data has been deleted:" - echo -e "\e[33m[!]\e[0m - Run 'sudo docker volume rm lme_esdata' to delete the elasticsearch database" - echo -e "\e[33m[!]\e[0m - Run 'sudo docker volume rm lme_logstashdata' to delete the logstash data directory" - return - else - echo -e "\e[33m[!]\e[0m ONLY PROVIDE y or n" fi -} -function upgrade() { + echo -e "\e[32m[X]\e[0m Removing Docker stack and configuration" + docker stack rm lme + docker secret rm ca.crt logstash.crt logstash.key elasticsearch.key elasticsearch.crt + docker secret rm kibana.crt kibana.key + docker config rm logstash.conf logstash_custom.conf + echo -e "\e[32m[X]\e[0m Attempting to remove legacy LME files (this will cause expected errors if these no longer exist)" + docker secret rm winlogbeat.crt winlogbeat.key nginx.crt nginx.key + docker config rm osmap.csv + echo -e "\e[32m[X]\e[0m Leaving Docker swarm" + docker swarm leave --force + echo -e "\e[32m[X]\e[0m Removing LME config files and configured auto-updates" + rm -r certs + crontab -l | sed -E '/lme_update.sh|dashboard_update.sh/d' | crontab - + echo -e "\e[33m[!]\e[0m NOTICE!" + echo -e "\e[33m[!]\e[0m No data has been deleted:" + echo -e "\e[33m[!]\e[0m - Run 'sudo docker volume rm lme_esdata' to delete the elasticsearch database" + echo -e "\e[33m[!]\e[0m - Run 'sudo docker volume rm lme_logstashdata' to delete the logstash data directory" +} +function update() { #remove auto updates crontab -l | sed -E '/lme_update.sh|dashboard_update.sh/d' | crontab - - - #grab latest version - latest="1.0" - #check if the config file we're now creating on new installs exists if [ -r /opt/lme/lme.conf ]; then #reference this file as a source @@ -953,12 +953,9 @@ function upgrade() { fi zipfiles fixreadability - - elif [ "$version" == $latest ]; then - echo -e "\e[32m[X]\e[0m You're on the latest version!" + fi else echo -e "\e[31m[!]\e[0m Updating directly to LME 1.0 from versions prior to 0.5.1 is not supported. Update to 0.5.1 first." - fi fi } @@ -1013,13 +1010,6 @@ function renew() { deploylme } -function usage(){ - echo -e "\e[31m[!]\e[0m Invalid operation specified" - echo "Usage: ./deploy.sh (install/uninstall/renew/upgrade/update)" - echo "Example: ./deploy.sh install" - exit 1 -} - ############ #START HERE# ############ @@ -1043,17 +1033,21 @@ cd "$DIR" || exit #What action is the user wanting to perform if [ "$1" == "" ]; then - usage + echo -e "\e[31m[!]\e[0m No operation specified" + echo "Usage: ./deploy.sh (install/uninstall/renew)" + echo "Example: ./deploy.sh install" + exit 1 elif [ "$1" == "install" ]; then install elif [ "$1" == "uninstall" ]; then uninstall -elif [ "$1" == "upgrade" ]; then - upgrade -elif [ "$1" == "renew" ]; then - renew elif [ "$1" == "update" ]; then update +elif [ "$1" == "renew" ]; then + renew else - usage + echo -e "\e[31m[!]\e[0m Invalid operation specified" + echo "Usage: ./deploy.sh (install/uninstall/renew)" + echo "Example: ./deploy.sh install" + exit 1 fi diff --git a/Chapter 4 Files/dashboards/Readme.md b/Chapter 4 Files/dashboards/Readme.md index 47f0afd3..260d8a4f 100644 --- a/Chapter 4 Files/dashboards/Readme.md +++ b/Chapter 4 Files/dashboards/Readme.md @@ -6,50 +6,6 @@ ./dashboard_update.sh ``` -### Updating to new dashboards and removing old ones (Starting with 1.1.0) -Browse to `Kibana->Stack Management` then select `Saved Objects`. -On the Saved Objects page, you can filter by dashboards. - -Select the filter `Type` and select `dashboard`. - -* It is suggested that you export the dashboards first (readme below) so you have a backup. -You can delete all of the dashboards before importing the new ones. - -After having backed up the dashboards and deleting them, you can then run -`dashboard_update.sh` in the `/opt/lme` directory. - - -### Exporting dashboards: -It is recommended that you export your dashboards before updating them, especially if you have customized them or created new ones. -To export the dashboards use the `export_dashboards.py` file in the Chapter 4 directory. -It is easiest to export them from the ubuntu machine where you have installed the ELK stack because the -default port and hostname are in the script. You will need the user and password for elastic that were printed -on your initial install. - -##### The files will be exported to `Chapter 4 Files/exported` - -#### Running on Ubuntu -Change to the `Chapter 4 Files` directory and run: -``` -./export_dashboards.py -u elastic -p YOURUNIQUEPASS -``` -The modules should already be installed on Ubuntu, but If the script complains about missing modules: -``` -pip install -r requirements.txt -``` - -#### Running on Windows -You must have python and the modules installed. (You can install python 3 from the Microsoft Store) Then make -sure you are in the `Chapter 4 Files` directory and install the requirements. -``` -pip install -r requirements.txt -``` - -You will probably have to pass the host that you connect to for kibana when running on windows. -``` -python .\export_dashboards.py -u elastic -p YOURUNIQUEPASS --host x.x.x.x -``` - ## Customizing dashboards: When customizing dashboards keep in mind to be sure the name of the file does not conflict with one on git. In future iterations of LME, updates will overwrite any dashboard file that you have customized or named the same as an original file that appears in this directory. @@ -57,5 +13,3 @@ In addition, any other dashboards you want to save in git and track in this repo 1. Creating your own local branch in this LME repo 2. 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It indicates the process in which the module is loaded, hashes and signature information. The signature is created asynchronously for performance reasons and indicates if the file was removed after loading. This event should be configured carefully, as monitoring all image load events will generate a large number of events.\\t |\\n| \\t8\\t | \\tCreateRemoteThread\\t | \\tThe CreateRemoteThread event detects when a process creates a thread in another process. This technique is used by malware to inject code and hide in other processes. The event indicates the source and target process. It gives information on the code that will be run in the new thread: StartAddress, StartModule and StartFunction. Note that StartModule and StartFunction fields are inferred, they might be empty if the starting address is outside loaded modules or known exported functions.\\t |\\n| \\t9\\t | \\tRawAccessRead\\t | \\tThe RawAccessRead event detects when a process conducts reading operations from the drive using the \\\\\\\\\\\\\\\\.\\\\ denotation. This technique is often used by malware for data exfiltration of files that are locked for reading, as well as to avoid file access auditing tools. The event indicates the source process and target device.\\t |\\n| \\t10\\t | \\tProcessAccess\\t | \\tThe process accessed event reports when a process opens another process, an operation that’s often followed by information queries or reading and writing the address space of the target process. This enables detection of hacking tools that read the memory contents of processes like Local Security Authority (Lsass.exe) in order to steal credentials for use in Pass-the-Hash attacks. Enabling it can generate significant amounts of logging if there are diagnostic utilities active that repeatedly open processes to query their state, so it generally should only be done so with filters that remove expected accesses.\\t |\\n| \\t11\\t | \\tFileCreate\\t | \\tFile create operations are logged when a file is created or overwritten. This event is useful for monitoring autostart locations, like the Startup folder, as well as temporary and download directories, which are common places malware drops during initial infection.\\t |\\n| \\t12\\t | \\tRegistryEvent (Object create and delete)\\t | \\tRegistry key and value create and delete operations map to this event type, which can be useful for monitoring for changes to Registry autostart locations, or specific malware registry modifications. Sysmon uses abbreviated versions of Registry root key names, with the following mappings: |\\n|||**Key name**                                                                                          **Abbreviation**|\\n|||HKEY_LOCAL_MACHINE                                                                  HKLM|\\n|||HKEY_USERS                                                                                     HKU|\\n|||HKEY_LOCAL_MACHINE\\\\System\\\\ControlSet00x                          HKLM\\\\System\\\\CurrentControlSet|\\n|||HKEY_LOCAL_MACHINE\\\\Classes                                                    HKCR|\\n| \\t13\\t | \\tRegistryEvent (Value Set)\\t | \\tThis Registry event type identifies Registry value modifications. The event records the value written for Registry values of type DWORD and QWORD.\\t |\\n| \\t14\\t | \\tRegistryEvent (Key and Value Rename)\\t | \\tRegistry key and value rename operations map to this event type, recording the new name of the key or value that was renamed.\\t |\\n| \\t15\\t | \\tFileCreateStreamHash\\t | \\tThis event logs when a named file stream is created, and it generates events that log the hash of the contents of the file to which the stream is assigned (the unnamed stream), as well as the contents of the named stream. There are malware variants that drop their executables or configuration settings via browser downloads, and this event is aimed at capturing that based on the browser attaching a Zone.Identifier “mark of the web” stream.\\t |\\n| \\t16\\t | \\tServiceConfigurationChange\\t | \\tThis event logs changes in the Sysmon configuration - for example when the filtering rules are updated.\\t |\\n| \\t17\\t | \\tPipeEvent (Pipe Created)\\t | \\tThis event generates when a named pipe is created. 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ts8oXQBaFyVSF0UaV1QQhdUAldEFsXhO41+vldU+eoZ24rLr+sWLrkCuYkbiWJ3SHtY72SuxK3Dn/WF8nruzc3PuIrr7a1dhBpeZ/IZUttw6+o7TL9+tBZYiiu7WIt7ytZghiIaYebln990rr6Rw2KpWoqW5bl6Afukttrv9sWox8JrH7lyMMAJoQQQgg5mchq8akOM0SvCKGriqELKtHb8KsOs82X0de8D5F87ZSt9StHCXlgUj5yQR5e75hPQki//T2Q3oilSh+pOqRnFsyJs931kxvpfftFm1lqsJG7DRuJu6MQuqoQuiCGLqiELgihCzZX7o5i6xqF1kXvvvFMl+XakP3OU/foYlhiWKI3EC1I68qbQVrXGci6aseLNnvqm3y1z/36ta3Boiecl2yubTTWDpQl0SsDUrOSwRLD8l1/tCBjMq/dt3ZA6VC8KG8t/fTR2Xzl3nTg8UxwyZL4SPUrVLc/dN/+g4QBTAghhBByApGV7Ev9toPpXt2LvVZZla//+MNAalDfPVguFEva2v9RQx5eY59waeCDr3R5AIVSVUIokihKOEl9SURJld2bCgxO+MUHLwMWT+bBdKDWrti6Ro2Vu6MQuiCELoihq6q0rlEIXVCpXFVsXaMYuqqG9FX9ot30Zbu567nn1UZMXvw1R8rq0/ZklsqVjpW4FU1u7UBZ+ud+5UbpXptP20FaKlfbQboWwPqkfFfCWH5lMiOXpahlaVK/UtfpXFn/pS9aEs/mQuMr0U3nCTzb9nvAACaEEEIIOVEEooWhSf8/XFvbZ/pi6IJK6KJXZQmrUr/SVPVHcEhUP/IBoqQo8sWq/AgxW6hITB6jnJDuld6Wxy/PYsGcuD7kON1pkZKEahW/aDND64IwD0LoghC6qk2Vq6q0rlEIXVUldEFsXaNYuapK6xr9vA093Wk+32u9OmgfW47MmxJmjxa98o9XP8KzJLHUrCSupK8krnxXetgZ0ApZLm84tYNFS/TKjEk/oLRHO1uSL5IPJ4qheFFqWS7IG7W6vb1sSz5fDM9uxT/2BxPkX8TR3PMCYAATQgghhJwcZP34l7e3WtC9IoQuWOte8dqgfcmSyO5+6J2TgaRuqVyVjJRnKurb3I7F6r6OxIm+k2qlsh2IFaSmOkY8X99zXOqzvQ5XDF2wkbg7CqGrCqELYuiCSuuCELqgErogti6IoQsqrWsUolf1izaz7s2HrqFJ/+Ckf8malKwNxgrBuLaJfsudlqv6B4a1/Z9rW4BlRm9jUd9rWr4rv9NkthxLlSR0ZV4aOJPXTritH/sqlSt/7DOQSb0vWhL1K80Y9304dBjAhBBCCCEnBH80LzEAoauKoQtC6IKvu1f8ybcbt5+4ZE29/uM/DSQiRMlIyWDp4fqtLUKWLIv9qJ3SWLg8hWK5uu5Ine22QusahdAFoXJVIXRBDF1QCV0QQhdUQlcVW9cohi6otC4IoQs2ulf12wfOR6+C4uOZ4MuNmDOgfQxY/28W0rRaEru0Q2HpHwaWr1avtulYildmJEGjqWIoXnD4tWNo+SL5aLIo76hIoqj+x5rK648MtApZWqG4878IeQxH5wDUDGBCCCGEkBPC8HwIWtcohi4IoatqSF/xizaTrIXrB9ohLeRjdPUeSLRIPt156n6n7hUhdEEIXRBDV1VpXaMQuqBSuarYukYxdFWV1jUKoQtC66p+2d7kpT5b13PvyHxYuleUxPWGtXMIy2V9z2e5oO8sLRdsPi2V9auekHbELFGGpYfldulnuWD8jIAkseRx/cqBIH8uMvn6J5MPEQYwIYQQQsgJ4dGrIESviKELQuWqNnev+MVd06NXgUP/xO8J5l23AGfylT3O/rof4unS1UHHftIXQheE0FXF0AWV1jUKoauqhC6IrWsUK1dVaV2jELqqELogdC/4Rbv5XI/1bI/15iPn88XIzGZc3+dZQjecKErEStxq+0I7tcNHy43Sxs5A/bzBG86UL5KXt4eEsc2XMR4cTn7pcsf6lQMhmSmtWJO7bSU+MBjAhBBCCCF7UaluR5JFWXdsnLTmY3+U7r15MvMmgDF0VSF0QaV7//H62tkuy8v1WOgDTt5DPgblSgv2ZV13pCQyIXcbQuiqQuiCGLqg0roghC6ohC6IrQti6IJK6xqFylU1Vq4qhC4o3bujZ7osNx44H74KmmunUJLilX+S8lVyt+7rvaO13aRr+0gnMqVArPB8MeypnYVLR/6y5Q+2ReUvZ7ZQMW6FPhQYwIQQQggheyErayvW5NxWfHYz7grmzLXVyqNZwE9ntQDG0AUhdEGle8XPvl2/88S16UrHUtzqe2JJ58pftJlOUPeK2LpGMXRBpXVBCF0QQheE0FWF4gUbY6c6LLceu57MhuZN8VVb0urLOALaeZL09H0TwD5ts7DU8u0nrmVrslCqtvajv8cOBjAhhBBCyF7IyqIzkE1lyw5/dsEUf7URs3oz9e8dMZ7OhjB3G0Loqird++Nv1q8O2PStRoe+0ea4sF07FdNR3UVgLyqV7bvP3PtMXwhdEENXVWldoxC6oFK5qti6RjF0VZXWNQqhC0LoqjbadUchdEEYNnqu23q53za6GJa/VHZ/1qJ9YDi9ZElop0dyp6WK5avZnZG/YNFk0RvOR1OlT7mBGcCEEEIIIXsRTmjnFCmVq5FEccWWXLQkZA3ySK08ZnLlNXvqwXTgbJf1w7tX9+e3NmWlWZ41y3c3pBj1C8Vy1eLNSGx4I9rBeBOZ0pHdSX5vBib8ELoghK4qhi6otK5RCF1VJXRBbF2jWLmqSusahdBVhdAFoVdBCF1VmAe/6qh7ttvSPux5PBOUt6LNpzWw/BOWP1bOgLZ3tHy1+WonUqpVcTp3+AejOiwYwIQQQgghuyIxY/FkoqmiJ6wdWkac2YxtOFP1bx82klmTK9HP75r+s5ayzRorV1UpXqNSMm7DZwWJkCtUAtFCKluWd8LMZvzFUkRy8flieG4r/mQ29MvbW2e6LGv2lITH0Tnf6buyRwAbK1cVQxdUWheE0AWV0AWxdUEMXVBpXaNQuaoQuiCUKgiVqwrzYKN7Va8N2ceWI45AVt6x+tmD9dNW60oGz5sSrmCu8HH+Q40s84j/9x8GMCGEEELIzkjJyLrjpivtCeVkDTJc2wL8ZCZ4dM58K4/nP19fb1X3iv9wbe3ntzbNniO6j/fBUyhWM/lKNl8ZmvJf6LVeGbCf7rR89u2G0Z/UHJr0y/zx3PSrUals37jvaGX3ikrrGoXQBZXQVcXWNYqhCyqtC0LoghC6IJSqKoQuCMMgtK7qqQ6LeL7H1vbM0zfmax/2PHgZnNnQDmHwakP7j3eBWGHBnBiY8EsMF1t9GjN5/2fy5SO+fzUDmBBCCCFkZyR0lywJmy+z7khJALu1k44URhdC3ki+PnF4yApmJFE81/16n2cIXVWldY1K9+r+9Ka253P9Z3ySuII5uz+bzJTFTVf6Yp9NquOb+w5j8cot0hJzW/Hx5ciqPblgSowtRZyBbH0RRx5p3WSmBEcAlnTpGPGc8O4VldY1CqELQuiqNjJ1RyF0QRhWhdAF9e7dTe0sSt0W8eqgfWIlIu9eeWOv2pKRZDGWKhnPjfTh7HG8gEKpehQOwcUAJoQQQgjZmXyxsmhOSPpuudLSwJI6m87UijWZKxzaPq6ZfMURyC5ZkkOT/s/vmrByVZXWNdroXvGrdvOT2aAnfAh7Pmv7TNYvHg4SuuMrUZsvO7ka/bLdIgUowSBKEenFe6rDrF/46c1NqQib73hvIc/kytFk0RjAyWzZHcp1PfdC64IYuqDSukYhdFWV0AWxdY1i5aoqrWsUQlcVQheEUgUhdFVhHoTQBSF0VWFe97tHzjtP3SML2vHtEulSyw9xp+8HIV3ti+QbC5cLDn82kiiGE4WW/8R3ggFMCCGEELIrEpyygugN56fXomv25KuNWDxdqn/vYJFHMrESlTXaf7y+Lr2KoQsqrWvU2L3if/l6/eZDZ+Dw9usulasHv0K8Yk32vPA9ngk9eBmU6P3s282ffrelVy4ogfR8Mdw+7LnYa12yJMKJ430uqGpV2/wbTb0J4GK5+nwpcmXADrnbEEMXVFoXhNAFldAFsXVBDF1QaV2jULmqELoglCoIlasK8yAkq6qxclVhGDzVYT7daZb3c/+4b3gu9HK9xUe217fxFkragQMbHwqQC3KL/EuXMG75rtfvBAOYEEIIIWQv0rlyMFZYd6Rk7U1W3Q5l28WyNXm609KSj/iCEjAjC2FJ0PpP+gRYtaWezoYkvSR6X4vR2/CXd7YmViLy+sRSJX/08Hd9NyIpCxty90muUImlivJ+1q/KcjK5ciBW6BzxSK/ut3tFpXWNGitXVQldVWxdoxi6oNK6IIQuCKELQqmqQuiCMAxCqapC6IIwrCrpu6PSw6MLYbs/25LDvmfzlUb37oj8FdV/kPZH9cD/+DCACSGEEEL2QlbTZC3tsBLRF8n3jfn+yzfr2Lqg0rpGIXp1f35r88F0IJk54Wc6yuQr8gTlZXw8ExqY8Hc/9+3dvT+5uXGp33Z9yPHNfYcE4aYzJWvz9WUdPaRY5KnVr+wbiZMd38/eSP5cjxUrV1VpXaMQuqBSuarYukYxdFWV1jUKoQtC6KpCrIIQuiAMq0KpghC6IAyrQu7u5tUBm/y1kRIOxgt7F+xuyL3k30ss9WbDr0oiXXIGsoXaf7iRsff7QR8CA5gQQggh5CgSThT7J3z/dGsTW9eo0rpGoXgb/tN3m12jnnlTvP6TjgDlynapdYfGkVVwmy8rTqxEb9x3Svp2jnp3614p3p9//2bn5/5xnyeUS2XLxdp/9Tj4tfP9o2860x9k46TE70e1ui1Lc4dyF3p3D2CldY0aK3dHldAFsXWNYuWqKq1rFEJXFUIXhFIFIXRVYR6EUgUhdFVhHoS+3b/XBu23n7ikhFdtyXf6b3/yRsrs+R+M8sXKqj0p7zRXMJs5pHMRM4AJIYQQQo4WnnB+cNIvVYC521BpXaOQu7oX+2xXB+yX+22dIx5XMHe4B6HZkVY9IHl23z1yGXLX6JvubXj3qfvygE0uXOy1ji9HDvEIZzsi+bH3x84Lpap+qur69f2h74MqX/XCT2bL0vySJRd7be/UvSKELthcuarYuiCGLrhL6J7q1A53LL9W+Xq229K4HYTQBaFUVSF0QRgGoVRVIXRBGAahZj/Q9mH3ijUZTe73DdbYvXlHgvHC5GpkxZqYWovKW65+aw2518EcIJoBTAghhBByhNh0pc/3WLF4dZXWBSF6da8N2udNCQkkWd1M58pHMH1bQr5YkSe44UzfuO9sjt6du7fhF22mn9Tqd9OZqi/rKCF9u+FMSdXXrytIwXpCOfn9vtPGalmsdHUio50CR146uSyvXiRRvD7k2Gf6QuiCSuiqYusaxdAFm7u34cU+m/zbudBrvfHA8e1DpwTwuR6LXPhEuleEdm2VpzvNl/ttEq7hBO4aLcm6/z8p3nBO/pWZPWm7P2t2pyF3tYNjtfSETLvBACaEEEIIOSrMbsX/4brSvaLSukaheHWl64Ym/Wv2pKROfeknkWptG+aSJXlt0HGh1/bz7/d1aKuf3Nz4p1ub0r3iT29uPJkJ+qP5lm99koeWzVcysuAPW3K2UNnj0NP61jZ5EaRjG3Hy1o1pMpDMlKV7daWE5aFuOtMXeqwQuiCELqhUriq2rlEMXVUleo1qcdtukg68NmQ3Fq8uhK4qxCoIoQvCsKoxU1UhdEEYVoVebbWmhhd7Lb0vvFOrEZM7rX82vlR+h/P6Sj/LP7RcoWLzZSSA9beu9g+kduHAdr5gABNCCCGEHAnmTPF//Lr5YFdK6xqF4jUqjefcfZvhicHkzvSP+7tf+D6/a95P9+pK9EpKne2yyIXLfbYv20wTK5H6Ej8YaV1Zjy+UtDCXq/mitqH1YP4bhHHTXLG2gXePMpFvGes3lS3Pm+Jnuiy/vIPFqwuhq6qELoita7QpcXdUaV2jxso93WW5fs9+ZdAmJdy4EUIXhFIFIXRVYR6EUgUhdFVhHlRKtbW+6V5V+efTNepZtSfr76e3IZ0cSRQb24rl7eeL5KOpotxu82YKRS195Q0sA/vP6feGAUwIIYQQcvgsW5Nvtv0qrWsUWldVMubxTLC+3BNKMlue3Yx/3mbs3rekr76912jvC28mV57ZjF3stRr3vZSV8kz+fQ7Pk0iXesd81wbttx67pCr1G2W1Xo/hA0N+miecl96Qx7BbTkiTx1Ja/Uquy4spk989ckH06kLogkrogti6IIYuqLRuw1Odu36ytyGELgilqgqhC8IwCKWqCqELwjColGprxdZVfDN8utO8Zm/64IC894Lxgn6EZyPyT0D+TRnfjXLZG85J+qYNh8KKpYpv3Q4sb1348PC7wgAmhBBCCDl8+sd9ELqqELrgf76+9o/X1x69CkrV1Bd6DKlWtd2G9wjGaLI4PB/++p7xg77YukaNxXuu23Kpzya5e77bKvXbWPOW9Wl9b8wGrzZi8+ZE/YqCrM1LMc5sxu9PB54vhidXoy+WInr6/tN3m+LPb215QvvdAv+BeSwFYvVl6ldq5IoVVzAnASxlmy9WMju9nslMWQJYnnilui1j8p6589Tduu4VsXWNYuiCSu4aPdttvTJg23EnZ10IXRBKVRVCF4RhEEpVFUIXhGFVY3x+BCF0QRiue6HHanKn6++qWtZOrESCsUL9uoKxgeFtKd+S9+He/xzkm2v2pNnwE98DBjAhhBBCyOGz4Uz97LtNKF5dCF1Qulf3Z7c2p9eiEHLHjlK56gzk4EOzsta77kit2JKDk/5TnZb9dK9oTF/xxn2HN5xPpEvJTCkUL+y2ni1BGE4U700FJLHmtuKN9XW5XapyzZF68DLw9T3H+R6r3ro7+rNbW5f67BLGNl82kixKtDsCWanNYlk7zI/8dLs/u2pLrtqTFm9mai1q9mQae4eqyCPd49c6uxXvH/cZn06+WM0VtOiVHydFIU8nkys3vi+Tcln/ALC82nJLoRYd0vBv7V5RCV0QW9cohq6qkru6Z2pHcj7fa706aD/TZdnxwM5Quee6rWe6rPL1qw5L48Y9hNAFYVgVShWE0AVhWBWas9VC6IIwrGo632NxBbP6u0tIZLR/YnJBf3cZkX9N+rm7dkTehMY83g13MCv/oOQtu8c/mb1hABNCCCGEHD5SLKc7zfvvXrGRvmLbM/f+NzkeZaT01uypYPzNFiRfJP/wZXCf23tF6N6GowthWZqsZMdSWvBJDO94wlIZ8IRz0qs3Hjh/+t3m2HJEwnt6LSaRKSUGoQv+7NaW6tf3nOLpTst3j1zfPnTeeuSShGvc5Wy3FtJXBuyS/fVHoCDvjcY+n/LwYL1fbtltu5nkhNSvvJiSu419vGVpUrzZgrbraamsbXOTVziZLfeM+U51Ws72WKF4dZXQBbF1jWLlNvt57UO8xtw1qsfttSG7ROYX7doxrvRbjOp9KyV5bdAhFy71268OOuTy5X67fJVX2FiqIISuKsyDUKqgsXJ3FOZBJTVbK4QuCMOqTfO3HzsbW2XlnbjbwZzhTSr/2CWS5b2905v3Lch7+70/Ws8AJoQQQgg5fPLFiqxWvmv3ij//fnN8ObLHdpVjh55n8oIsWZLD8+HTndb9pC/kLnpz8+GroF6Jsuosa94dI56vOiyji2HpWyjhYKwgt7cNe35WOxWQZHCjV3f0Z0r0gjAP/uyW5qZr5706pRBqm2rriSDPQK7qlwE9d0PxQqOWBXkxRbnd7MlYfZlVe/LVRkyc2YxtudPzpvi1Icf5XtuFPpvee/KatKp7RWhdo9K9Nx86L/RaJW7lMcibf8f0/fq+41SnudG6RvXubSg5er7HJhekeE93WoyZuqONxN1RGAahVFUhdEEYBg2R+TFsCtedhHkQht94rtsciOa1t1zthGT628+I/OuDbcLyZpY3bTRVlK/1mw4EBjAhhBBCyJGgb8wHrWsUuldXKs7uf7Pz4QlAUi0QLdh82aHJQAu6V7y5qXumyzq1FpWynduKbzhTkWTx/nRAOkr69lK/7flSxBfJu4K5vnGffuNbu1f8mdK6RmEY1LtX9xffbz2dDe24n3Olilu6nMGcRLuEbjJbllYX3aGcJ5R7uR67NmgXB8b98lzyxap+dKuJ1eiNB86rg/bG53v1XZ0vD9glfY252/D6Pcfnd81K7hrF1jUKrYu+TtwzXZaLfbbG1YaNxG343SNn40O/xuhVhVJVhdAFYVgVYhWE0AVhWFWpzdaKydosDIMwrNi+Jc5uxuQ9LFmr/5cm+ZKvHd55DyR95Z3c2KlB5vXdp43IcmrLaxkMYEIIIYSQI4GkrLTQfrpXt3fMe8BbTj420r1nu62/vG2SeoTQVcXQBV93r1FZrH7hV3dNksHyEyURRxbC/3RLy11JL2m//aSvLGcPYVjVmL4Nf/69tru1/jo0kJww/orl8oYjJQ3/RZtJQlce+fBcSByZD18ZsJ/utEhIy7N4PBN8sRSR7p1YiT6dC+nFK09Z79691fv2u0cuiUlD7jbE1jV6dcD+/WPX5T6blK32SV1N647pK57rsUryGW9p5K7q+R6rvDGMoasKpQpC6IIwrGrMVFUIXRCGVZXabK1KrDYJw6ow32ytexue6zI9m63vZyFIyr71POTyDg8YTsEtd1EPwF4qV/XzJLUKBjAhhBBCyJEgX6xcH7K/NX1/eXvr7lP3wIQvljrGR3sGZB3XGchd6rdD5api6ILNxauq960oNfj9E9eDlwHJTqmvD+9eEeZBKF7w599vSWi92oiZPZliWYuIJUtyaNLfPux5NBPcdKXXHalFS+JCj/Wbew69deW7zxfDz+ZCXaPe3jHf0JS/c9Rzvtd6/Z6jY8Rz95lb7ntvOiA3do565cIp7TS/WLy6SuiC2LpG9bi90q/V73cPNe88cfeP+/rHfJf7tX2SG4mr7fA8aL88oG31lcvyLOQCtK6qsXJVjZmqCqGrCvMglCoIoasK86CSmq1VidUmYVgV5ptt7l5weC6on8ooW6jY/Rl9i64krvZJdWUfh3SuPLsZC8YKjW9tOFNmz74O8gw7VO8fBjAhhBBCyOEjK4hPZoL/+PU65C54bcjuDGj7POOK5HEmkiz2jfn/6dZeeztj6IJK6IKN7t1RKFVVCF0QhkEIXVVJX6OnOi3dz709L3xfdVjkqoSu7tluq74hVFr3TC2Abz3SAl4a+MlscHQx/GIpMrkalfLUN/nqSgz3jfu+feiUC2e68QBXSuiC9cT9ok3r1cbVc92Wr9q1777ZtHvH9KWE7h3TF3fNUsLXhxznuq3SURf7bOd6rI0AbiTlx+5eEUIXhGGw0ai7CaELwjDY3JktV4lVFOZBGG5WaV309WTniNvi1U7NVShW9a278rVY0i7DIdyWLYmvB22uYFZvZsHmy3jCOxwQTgrZ2M+ynPfbL1qymQFMCCGEEHLIyJrc4KQfWtfof/l67b/eWJfOOQoHu9pttTOb145cpV+WNV19xXcPZIXY5M5Itp3pskDuNsTQVVVa1yiELgilqgqhC8IwCJWraoxe1Ub3NpTo/ard3D7ske6VItX79ot2070p/81HTklNUUK3Y8Rz44GzsbH3Yr/t8oC9bdjTiF5RCV3Veuvqyo8712PRL0sJy2P45p5DSk9P39O1C6fatQCWB/ndI5fMNKJXFUIXhNAFoVRVIXRBGFaFWAWNlasKw6pKbbZWQ6nuIAyDMKwIoQvCcM0LPZZNV+qtfwTC8cKDaX9iH6cud/gz6/akXEhly7HacbN8kXz2dTY3aOyALf+74yZi+bPDACaEEEIIOWT80bwkLkSvKNErLXF/OrDuSFlrW1QOHe3QSplydfs3ldqxlOu31lYrI8liLFXSt/BIDOu3q8i9ZOVVhjtHPZC7RjF0QaV1jULoqkKsghC6IAyrQuiCELogRK+uvsPzjfvOwUn/w1dByd3r9xx6AJ/qNP/yjrbRWL8qt99/GZCxa0MOY/FKEksJ7yN9m7oXlL690Gu7+9R954lbAvhKv/1Sn0283G+Tq1cH7BK3+keRpVSNxasLoQsaK3dHoVRBCF0QhlWhVEEIXRCGVZXabK1Yns3CsCrMNwuhC8Kw4rku0/0pn8WTDsYKuULFeDLqBqF4Qcq2fuU1jYhtICnrCeVcgazNl1m1JVasCVmgO5id3YxavWljBhujV/1xOgxgQgghhJBDZnotCukrfvvA6Qxk1U0ch0smX1+RlY4tFKvyNV+sSP1K8cbTJQlgfSC503lQBLs/e33IcanfJmEAxauLoQsqrQtC6IJQqiCErirMgxC6IISuaiN3v5AgvGv6qt3cP+6b24pvudLhRHFoyj++EpGV+3VHang+JJfvTwcevgo8X9I+A7xW+3jwyEJ9L2iJ5LM91nM91vO92mZhuSxxe+epe2jS/1WHpbl4dbF1dbVjSg/Ztc/x3jVL2Urxynvy2qBDove7hy4p3gs9Vm3zb+2IVsbWNQqhqwqhC0KpghC6qjAPGjNVFUJXFeZBJTVbK9ZmszCsCvPNQuiqwjzYPCwZ/M2QTao1kijKHwr5i2H8D2eZfNnuz0STRXlv65uLK9VtdyiXzr35AyJ/bfzR/NRq5MViaGjSe3XAMjDuebURlSSeN8Vu3LctmuPG+bfCACaEEEIIOWQkdM90WRrp++s7W/em/OrpQI4gss6aK1QqtTVXWQeVAE5myo5ANpIs6gM6qWzZ7MlImEluQfHqYuiCSuiCELoglKoqhC4IwyCEriqELtjo3oanOy23H7uWLMl8saq9trVa0P8rg1yQeCiWq4mM9jrLgLywEg9Z7Twy2nb1RLokl+XFlx5esSUljEPxgjecvzbk+PqeQ9p4eD78+ZvDO2uVe6nfdnXQduO+4/KATf9kr+6v72pHdZYUP99jlQuSwXJZ297bZ7vQa/v1Ha1doXWNGhNXVbr6q3ZtQ/FuQqmqQuiCMAxCqapC6IIwDCqp2VqV2kRhHoThZpvDdQdhHoThZq/2W20+/VPBlXCioP1RqG3p9YZzk6uRl+vR2c2Y2Z2OpYqZXPnepM+4WbhQqkroPpsLXB+0nu7YuvXILg3cP+bZcqXmtmJdo67J1fCyJR6MaYuVfxES1fF00ZjZAAOYEEIIIeTwyeQrJndaEmVsOSJJU7/1WCEZHJcAy1ciiaKshuo3bm//Zs2ekoiSVoToFTF0VZXWNQqhCxozdUchdEEYBqFyVSF0QYhesPu5V8JVXsmw4ZU0ImEsVSDFKy+vXJaXPZktS/rKcDonASDvpYy87A9eBuUdZfdnN53p20/cEm/6eXcblSue6jSf7jRfH7J/fU/L3S/aTOe7m85d9FW7+UynRTtic+3jvhKQxtBVhdYF9b49122V5TRyt2GjUXcTQheEYVWIVdBYuaowrKrUZmtVgrNJGAZhWFHp1SZhGIRh1Y66nSNusyetb+aVd6+UsCTx9FrEHczObEQfTPtfLIaWLAkJ4I5hl/St/lYv1Y6IvmJLjMwHH0z7+sY83z92nO0yXegxSQZProQTmZIs0xPKrdoS8pdzxZqIJArPZgMyry9BhQFMCCGEEHKYyOrdyUCeiKyMSoxJhuWL2nbI6fXY7ScuiSLoXhFDF1Ra1yiErirEKgihC8KwKoQuCKELQujuYO2jvOd6rAvmRCxVktcQTotarO0pKi+vvNryOm8402PLkbvPPLrfPXJ9/9jVOeodmPDfuO/Ut/ReG3K0DXsu9NqM3Qv++u6W1K+eu5ckkg0B/Mbm0AUhdEEIXVUoVVCL2w7z1/cdxtxtCMOqUKoghC4Iw6pKbbZWJTibhGFVmG8WShWEYVWYB193r9Fz3aae5+7Hr/zi3afOTWdK/lz4wrmzndoHhkfnQ/p/7nEFszcf2pOZUuNvYyCan1gOT61G5MZQvHC5z3zroX10IWh2p7SWLlXt/sz4cnh4LjC7GZV7yRJu3LPJd+v3b4YBTAghhBByaMgK3m4HdpbOKb3tGKqHTrXadDKSRLoka6iBaGF0MXy+xwrRK2LogkrrghC6IJQqCKGrCvMghC4IoauKoQvWurfhqU5tU600sORBpvlwYtFk8eYjl3Tvii3Z9dz7eZtZPbTVtw+cgxN+KV6p2dotWuK2D7tvP3Gd6pRbmtJX/O6hS+5ysbZj8w4qrWsUQlcVQheEUgUhdM90W+EWmAehVEEIXVWYB5XUbK1KbaIwD8Jws1CqqjAPwjCoRC9qGJYG1v9rzv0p35lO09UBq8WTTue0HZhXbQmHP2M8opW0sff16ZGcgcymUzsidCZXfrkeGRj33Hni6BpxSV1L+urH0Pr+kf1Sr7lxFyMMYEIIIYSQQ0PW1BoBWd3WLovFkrYKp+/mWv/eESBfrGYL2obHBpWqts+z/iFVQep3djP+eCZ4oRfTF0MXVEIXhNAFoVRVIXRBGAYhdFUhdEEMXbC5e3Ulfb9/4pILp7ssvWO+qbWYtO6cKT6xGpXivf3ULcV7ttv65c6HszKd6bLeeuy61N+0vfeLNqlih/xqHr0K3Hzo1G883WnRDnM1qB3LSlJ5x+6VFJeI1b82olds9O1uQuiCUKqqELogDINQqqoQuiAMg0pqtlalNlGYB2G4WUN57izMgzCsCqELwnDNy32WQDQvfzqkgbdcqTOdW1LCxXJVAtgTzvkiOePneCOJgnFvCPlDJH8lo8ni9Fqkc8R1pc/sDmYld+Vvpnwrlio+eunve+G+9ciuNjADmBBCCCHkcJBVvZR2yJaKrOfJmty8KbFqTy6Yta+RRNFQmkeCQlFWTN/kriAPWypdv+yoHcfrJzffpXtFpXWNQuiCUKqqELogDINQuaoQuiCGrqrSvQ3P91ov9GmnLNpNKF6wFqhv0lc81225PmT/7qFTuvrGfcf5nvpHfD+/a/pSWrStOX1fJ648Binkq4N2KSv5Ku2n3w6hC0LoglCqqhC6IAyrGktVFUIXhGHV5tRsuUpwNgnDIAwrKuXZJAyDMKwKoQvCsOKLxZD86cvW/mPf9HrE5E6lc+VFc1wuSwYXipVkpmT2pCV9pWn90bw7lJVmlmDW/+xI7ErfzmxEH7/SjhpYKlflW8lsKRwvSD/L5JIl3vPcDWdaYgATQgghhLSe7W1tA2n9ikJt84V22GQJSFm3m16LDc+Hx1eiU2vRkYXw88XIsjVp9WZkpbBU2d5jOQ0aP06+7HH40w9BfoQ0cP2KgWKpuuVOf/vA+Q7pq7SuUQhdVYhVEEIXhGFVCF0QQhfEylVVctcohK4qtK5iU/c2PN1pvv3Eda7beqZ2ICvVqwP2rlFv2zO3NGQjgM/1WCWuGlchdEEIXdVGo+4ohC4Iw6pQqiCELgjDqs2p2XKV4GwShlVhvlmlNpuEYVWYByF0QRhW/Kp9U/dCj6lj2KVv2k1kShuO5LI14Y/kGzs/S/eu2RP6Z4M3ndphn7dcKXtt72j54ymJu+5Iyu1SwvIHULo3kiikstqx0PW7CzI8sRyWBpYBiWq7L8MAJoQQQghpAVKqmXxFP8apoJ2rJq2dx0hqVNbGoEmlUUV/NL9gTkg9ji1rxTtvSsxuxZcs2oW5rfjESjRX1BYoa4ey8L2jVsbiae0AVK5Q7sA+ORxNFp8vho3pi6ELKq0LQuiCUKoghK4qzIMQuiCEriqGLqi0rlGoXFUldEEsXhByF9WO/KyVnpRkI3cbQuiqGitXtRGo14cc+o8wCqGrCvOgHqi7CaGrCvOgkpqtValNFOZBGG5WqU0U5kEYBiF0VWG+2Ub3gt2jbqlciyc9OOGdWo34wk07P8tfT/0cYOlcWWY2nEmrV9sm7ApmTa6UM5CVrNUntc2/mVKhdlgsuSpVrC9HBmT5L9cjVwfMV/pMDGBCCCGEkBYg614StPr6lnyVFo0ki7FUMRQvBGIFvV9lTU5XLsvtIwvhidXo09nQs7nQ1Fp00ZJ4tRGT7n2xFFm2JSdXtQ3Css4XTRXDu+8Rra8oyk+Un+IO5eRrKFHU1//026WNDSuTrUGejhT7mS7LoXevCKELwjAIoasKoQti6IJK64IQuqASuiCGLoihCyqtaxQqVxVCt+H5Hpu0pVqqF3pt39x3aB9drt0CoQs27rijxkzdUWPlqsIwqKRma1VqE4V5EIabVWoThXkQhlUhdEEYbhZyV/VUzeuDlqnVsPzNtPkyJncqHNfO6yt/aqRj9Z1l5Kp89UW0jweXK9VlS3x2MxpJFDadSX0TsaDvFJ2tbVJOZbWdovXbBenqieXQ3FaUAUwIIYQQ0mJkdW3TmfJG8rGUdlTk+q2/+Y10rN2f1YtUWndsObJgSjx4GRic9Ev0Lpi1LcAvN2LD8yHJ4HlT/Nl8aHQxHIwVGkFrRG6UH5SU5clKX+0URP5oQb6aPRm5iz4jWS4drm8/eStv2cr8mkC00P3cK5mEoauqtK5RCF0QSlUVQheEYVUIXRBCF8TQVVVa1yiELqiEriq2rlEMXVBp3YanOy21jx9brw3Zbzx07mj/hG8PByZ8Q1P+gUm/XFDtfuH79qETlCq+2G/T1U8OvIcQqyCELgjDqkpttlYlOJuEYRCGFZXgbBKGQRhWhdAFYVgRQhfUu9fo94/snlBO/p5tuVKrtoTkq/yJk7858qdJbpE/qtofz6q2U4xcuD/lHZr0umqnEZZvaalc1epX+lkGoqmitLG+L7R8KxjL6//lUWAAE0IIIYS0GMnOaLIYT5f0s7bKLbLuJTc6AtkVW7JUW4eTvpX0fTobejIbfDQTvD8dmNmMjS6EH74MdI54xlci646UKLe8XI/tmKayauiP5j3hfLZ2GC25RX5cNKXtCG34BF1J1L+7B/LwZE1R7qg/2h2Rkh9ZCEv6ft72tvRVWtcohK4qlCoIoQvCsCqELgihC2LlqiqtaxRCV1UJXRBb1yiGbrNnu7S4FbW4feC8+cjZN+7rr3l/2i/VKj6eCcqbTXu/bcS23OkdjSSL762UCSxNXLYl9R8qygPQH4l4T0L6dTm3j3jkAYvXBm2X+m3ne6zN4YqtK57tsl7ut8sF4+SOKrXZWpXgbBKGVWG+WaU2m4RhVZgHIXRBGFaE0AUhesGr/ZbptcjUqvwBTLoC2czrALZ607ObUfmL1+hYeUctmGIv1yPuYNYdysothVJV/vDKsM2XfjCttbHcIn/TpKUHxz3RZP0/CzKACSGEEEJahqRmoyClQqOpovSnFK9c2HCmPOGcrMBJZ6ay5cnV6OhiWBp4disuGfBiKTI8H3q+FJ5YifQ890oGr9lTcpclS2JsKZLJV2RpErrGbbmyIihXN11pUQJD6leuJjIlGZPvyiORNb9grCBrhHK73Kjf3sAY1fLwgvGCcXdBQB7J1UE7hi6otC4IoQtCqYIQuqowD0LoghC6qhi6oNK6RqFyVZXQBbF1wUblftFmkji81GeTxO0c9Wpx+zIgMSnvMb0wJ1ajjfJsdOkev/RDJFfQ9lzQdQSy+mOe3ojJPxm9k+9NB/Q8vvXYdfOR6+qAXYr3XLf1fI/t63uO7x65JPWhdY0qqdlaldpEYR6E4WaV2kRhHoRhEEJXFeabhdAFIXT39mzn1vBc0B/JN/5MyV+2zdqnf+UPXf2m3/zG5NYOiyWpvGSJF2pHTJD3c7lSlTAengusWOPyRpK/k1Or4fHlsL4zTr5YYQATQgghhLQAvTalbI1hKemrb4OV6E1m6x9jk6tWb+bZfEg7uetKVBJ305nS9oiuNfDL9diyVfsA8MhCeMWWlMvSxnKXdK6s7fCc0XZ41hcuyCUJV7s/K53gDuUS8lMyZflZemPLql597je/kYSGAG6Uj+RxJlfecS9rQdY7pcalITF3GyqhC0LogsZM3VEIXRCGQQhdVQhdEEMXVFoXhNAFldAFMXQbft621QjdjhGPhK7UoDTh41ltE+6iRTusmjeck7fEbr/TE0C1uq3nsdmDbSzBPzTp737hvfnICVuMldRsrUptojAPwnCzSm2iMA/CsCqELgjDzULoqkLc7tMznVujC8E1e0L/QIczkHn8yt/7wi0XtDfA9rbYP+Z5MOWd34p2Djufzfr1/z4YiOZtvrT8nVy3JxbNMbmq/0PQd2/ZcCQZwIQQQgghLUDiNhArGHc2lkuy4qUHcDKj7Q4tM3KjrLLru5u+3IhJ906taQ0s3Tu+HHk2F3oyE5QSnl6Pzm7Fp9e042BJBsuKvixYclrW6iSwjXs0S9a6gjkxFC94wnmzJ+OL5BsdLl8LxfoxUVWkkGWVUf8Ucf2m18jtnlDu3pT/XLcFi7eh0rpGIXRBKFVVCF0QhlUhdEEIXRBDV1VpXaMQuqASuqpNuStpdKHX+s0DR18jdGtvHv344Sc+dN8DvY31Pa61g8zNheRFu6/tU+2XJL5e24+6uTw/XCU4m4RhEIYVleBsEoZBGFaF0AVhWBFCF4SgfQ/Pdm49nQnUGjg/sxHVb5QLmbz2960WwO6+F+4FU0zqVzS7U/KXNpIoSPdqpxEuVVdtibmtmJ6+clX+AsstDGBCCCGEkA9C6lHf8gDnH5JVNAnRaKqofVI3lNNLWFbCpHtfLEWeL4Y3nalFS0K6V+pXekZuXDQnxJH50KOZ4JPZ0MxmfHg+rB1EurbAXLGSyVfyxfrnivWvskony3eHcuKaXfvYsASw/FD56foDSNQ+2ZvJNW2a1pFanjfFDXtta8iwN5y/9cj105tK8eoqrWsUQlcVShWE0AVhWBVCF4TQBbFyVZXWNQqhq6qELljbuntX27p7fcjeMeIZnPQNTWvbdSfXtF2XQ/GCvgcBeQ/SubJUsbyMc1vx0cWwvLD3p7WPGbcNu7+573jfJFaCs0kYVoX5ZpXabBKGVWEehNAFYVgRQhds5GtLrJ0o2Nn7Qgvd2i0bs5tRkzuVyGhHOliyxCVop9fCLxaD9ya90sBjS6F5U0yaecuV0neWliSOJrXzJMnfuViqKGHMACaEEEII+SD0BNW3wsk6lqxqS3bq21TlqqylyZq3tgm3qp3MI54umT1pyd0H0wHx1UbsyWxwbDmy6UpLAD94GZgzaacCnlyNSv1OrEYfz4SWrdpxs2SBwdqJjvRdl+XHSdlm89rRtsKJokSvzZfxRwu1bV95VzCnbW3WVvi03aH1zbxywbiBWpA7XuyzTa/H9Kvy8ORnXRmw/frOToe5UloXhNAFoVRBCF1VmAchdEEIXVUMXVBpXaNQuapK6DZ5utN8sc/67UPtqFSSZPdfBkYWQvJmkF90rHYeafKR0P9hyr+aFXtKS+Lakbe6n3v30cNKbaIwD8Jws0ptojAPwjAIoasK881C6ILGav0IbojXBy0j84FFc0yi1xfORRLaAQ7kVyl/CbtGXbcfO54vBBfNcalfVzDri+Qy+bInlJtei5hcKfmD2fgvfQxgQgghhJC3o2w91ZAolQSVyNQOxVzbOpfIaKf/jaaK8IFbSdDa9tuyDMhVkzst9StV+d1Dp7af82p0yZpcd6ZGFsLP5kJSpLNbcQngNbt2iwzL0sqV7U1n2uHP6psB5ZZkRvugr/5xX5sva/Fm5LIsXx6PlLA8hkJtW7F+iyec05bzehOirAzK6qDc/uu7pmuDdrlFSuC7R84d0lcJXRBCF4RSVYXQBWEYhNBVhdAFMXRBpXVBCF0QQrfhqQ7L5X5b27BnaFI73LH2qe/aUZflbaP/NxRyWMg/KHcopx2YutbD8gvqHPV8fc9xsdf69nDVNFauKgwrKsHZJAyDMKwKoQvCcLMQuqpKrLZWLX11L/aapH7DiYL0rTuYHV8KzWxE5Y9wqVyd3YyOLYVs3nQ8XT8coPx9C8cLkyvhieVQLFWUP5vaH8N0KRQvMIAJIYQQQt6CrDzli7UNvK93PNapbmtnHpKMFOVCqbItnWn3ZyU+5apxUnpV6lRujyaLmXzFGcjem/I/fBl4PBO89dj1eEY73+/L9Zik7/hKVG58sRQZq+0aPbYU0XaBrm1JlguekLZpV8pWVuOCsYIsU89dqzcj35USTmbKmVxZhuV2SV/5WfomYsljieTGYbFkgaJMysP4+a3NR6+CN+473il9IXRBKFVVCF0QhlUhdEEIXRBDV1VpXaMQuiDkru6ZLsv1IXvPmLaN99GrwNxWzBHISm7pvwtyNNF7eNGifSRB7+GOEelh+/keS3N/QuiCxsmdVIKzSRgGYVgVQheEYUUIXVAp1db6pnuNXuje6n3hWjTHNxzJ4bng8FwgldX+HUnvGg8ZbXanXIGMzNh9Gbms/2dH+au4Zk+Y3CkGMCGEEEKOHLIak86VG815uOgbUWXVSnJXmjOR1i4bkcjUt8oWSlUpUqlNVzAnX/UbhWLt7ETJrLb5V8JVviv98/BVUKJXP8jz/enA07mQFO/UWnRuKz6yEB6c9M9sxm2+jCzc+OP0/aslbtfsqVV7StJXHo/Ur9mTkSVL0MqLph/aSiZlDV6+a3KnpbfXHdpJlWRS7l5fVg35iS3sXhFKFYTQBWFYFUIXhNBVxdAFldY1CqGraizez+9qZyT69qGzf8I3OO1/Nh9a0X5Z9f3kyXEkli7JP9t5c+LRTPDetL9nzPfNfceFHn3j8I4qvWpUqc0mYVgV5kEIXRCGFSF0QaVUWysWr2J9sve5e2I5LHGr79WyZIk/XwiWK/rHQyrzW9EFU0z+DMrVQDS/aI4VirXzIa2ENhw8CBYhhBBCjh7Sci+WwpJ/Um6SlFJ0h5jBEsDRVFHSN5PXklLCEg52pW/XlfUwuV3f4uqL5OWRS2rqu+fp22llTG6XMJYMnt2KS/FOrNQ/6PvgZVCUFevnixEJYLl9ej3W+LxuQKo7ox3ISn60XMjmK57ap3zlayRRlBK2+bKOQM4ZzOl9LmOFYi25MyUZW7UlpX633Gm5bKl1sr5YmZFHdanPtp/uFSF0QShVEEJXFeZBCF0QKlcVQxdUWtcoVK5qI3q/er1v8+CUX6J3bDmi79isv9rkJFEoVb3h3IIl8XhWO/GSHsP72lNaqU0U5kEYBiF0VWG+WQhdsFGeH00IXRCGNa8NWJ7NBkbng/IXT98jOhjLh+L5DUdSojeZLcmfX/lr7Allly3xh9PeJXNsbCnIACaEEELIkUPWWiR9Jds2nKmX61GJN2/4zb5th4KUraxj1a80I11qctcOWSSJm9S2/ToCWbs/K1Eq8SPpLvUr39UaOF2y+bPyXJKZsjOQk0CSypX6HZ4PP3oVfKg1cOD+dEAa+NlcSJaZK1QkoeWOVm9GFit3lNyVq6K+MVnb4TlbfjobWjAnZFh+ivxo+a6UtjwYueCN5GU5q/akRLIEudSv3ChdLQ0sN44uhK8M2KByVSF0QShVVQhdEIZBCF1VCF0QQxdUWheE0AXrW3rbTBK97SNa9D58FZje4L7NnxylctUfzS/bkk/mQkPTgb5x37cP7Jf6JYbfqV2bh0EYVoXQBWG4WQhdVcjOVguhC8IwWB+b2YjIL6JYqpYr2v4vK9b42FIokigUStrluc3ooinW+czx9aB5cNw9uxFhABNCCCHkCCGdKxlp90lAZrZcaVGybWYz7ovk6xMfDVmR1U+bsRsyIGtXxuMoy0XJTmldqXRnMGf2ZCQ4pVc94VwwXpDOFMOJoi+alwuS0JKpUr/6Ea084fz4cuTxTPDlekzSd3g+JEX6dC4kF2SBkqyyZIneQKwgOb1sTUozh+La1mPJYLmvJK7+GeC5rfjsVlyGRRmW0JUGkzvKpLxo8gJuOrX6lXV0eQyZXFmWdqXf9qvbW6c6LdC6RiF0QShVVQhdEIZVIXRBCF0QQ1dVaV2jELqg3r1nuiw37jsGJv2DU4GJ1ajDn20cXYx8yugxvOZIP5sPDU75e174vhmynes2Q3O+EUIXhGFVCF0QhhUhdEGlNltrI3F3FIZVm+bPdG56wzn9V1AoVoKxfM+oc9EckxuHJjxdI07p3unV8IIp+mIhMDwXYAATQggh5GghkbnhTEnUSVVKPWbylSVLwuxJ17/90ZCVV0nT+pXXSO9KterVm8lrH77VL8uw/G8qW5bHJo9WqlLr1UheLmgbbGvtKg0sRpLaAbFkUv/8p57ZEsAyP7kaHVuKSPc+Xww/ndUCWJL42VxI2lW+K89dTGbLErqytC13esOZlvSVnyIr2fJIZMmSuPLT5YUSJZv17c8S4XIXua/UrzweUe9hbSGu9MW+vbb6QuiqQqmCELogDKtC6IIQuqoYuqDSukYhdFW/bDdfHrB3jmpHb34yG1qzp+SXq71FCNkJ+ZcuATa7Fbs/HRic9H//2HWp11KPTwhdVUOm7iCELgjDihC6oJKarbUpXHcS5kEYfuOdJ/YNR9Idys6sRxZNsbnN6Io1PjIXkBJ+vhCYWg3Ld5Pa38Cc/PFkABNCCCHkaCFhKQk3vRZ7tRGTC1J6EyuRA9gCrCI9nC9qVSyPwbgPtuSr9GSgdlZeyUt5bHJVrO1arEW7zMtVSWSpZQn4eFr7BK+2x3KmrH9AV25ZMCcGJrTjyj58GXz0Kji+EpHml7tPr8fku2IortVvpnbUq2iqOG9KSGyvOVKecE5uSdR2dZbilQCWGBO1rdCBWn4Hc6LcIrmr7fnszcgqePuw51Sn5auOXbf6QuiCUKoghK4qzIMQuiBUriqGLqi0rlGoXNWz3dZbj90SMPemA/KrkReWB7Ii74qk14Yz/WQ2pJ9a6fqg7UynEr2iEqtNQuiqwnyzELqgkpotF5O1WRgGYVixbV083b5+97H96YxPund8KWjzpeXrpZ6t2c1orlDxhLJzW1oVO/wZBjAhhBBCjhZSmlKJUncrtuTYcsTqywRr+w/Xv32ASLVKjctX/XjUOnKLrM42dm/WZqpaD2tbfWvHuJL6lXyV7i2WqxJLMlCpaJuRpVrlW2I0WYwktYNXSdM+mwuNr0Q3XWnJV3mashxtIFWUtJbWaixNGls6dtWmfZo3GCtIGPujeZtPO/izxZPZcKTku5K+5toO2NK9+g7kMiMvoCQctK5RCF0QSlUVQheEYRBCVxVCF8TQBZXWBSF0jX5R29jb9dw3NKUdnVvSRX4L9V8/IR+A/EFw+LMTq9HBKX//uO+b+/YLPa83C+8hhC4Iw81C6KoqtdlalVhtEoZBGFasdS/Y98I1sxF5sRB4sRh8uR55Nut/uRZxBjLSvb0vXKPzAbmRAUwIIYSQo0ipvJ3NVwLRw0nfvZGalSLSYjVdO/1v7aS7gVhB9EXz0dpu0vJd/Xy8+l0StQNBy42SvvKk9NCV4rX7s1K5ckFS1lY7T69M6vsti5LBclWUAelhfQOv3F2vXxmQ4pULksRS455wzq0dGlr7MLAsU149eemu33NA8epC6IJQqqoQuiAMq0LoghC6IIauqtK6RqF1jUr3Xh2w94377k0HZrfi3nCu8esjpOXIv+IFS+Lhy8DQpP/uE9fFHuWjwhC6IAwrQuiCSm22ViVWm4RhVZhvVoleo5f7TKu2xORKeHgu0PfCvW5PyNUnM/7uUdeyJW71pj2hLAOYEEIIIUeRAzjsc3Vb+4hv/co+kIeULWhVGU+XUjntM73SsZK7Ep9yY7myLd+Vb0key7C283Nt72V9z2fJURmWyWTt6M3+aGHDmZavEqvO2gd3JXFXbanHMyEJWlmIya1tv5W7yGVdX0T7ULE3nHf4s/o2Xn2fZ7ldW2ztuNDRZFEWLg9A5uXGp7Mhqdn9d68IpQpC6IIwrAqhC0LoqmLogkrrGoXWNfrrNtNlQ/fKy67/ugk5GOSvh/yLfjwTrJdwrxlb16gSuiCELqikZmtVYhWFeRCGm1VaF309ebHHdPOBbX4rOjIfeDDtnduKPpv1d404TS7tQ8I2b5oBTAghhJBPFH335vqVXahWtyUmtYitnZEoUDvwsrSlzZ+Vy7F0KVw7yLPEpxSvqC9QUllWamOpktSUM6CdIalQ1I6DZa8djyoQLUijTq/HFi0JyVeTO+MJ5+WOcrntmVt6WO4ui5Uf1FCyWZQB/cO9+id+5au+BVh+irYZOVaQHyHD8q27z9znepr2fIbQBaFUQQhdVZgHIXRBqFxVDF1QaV2j0LpG9e7tHfMNTgVebrB7yeFjLOFbj5wXeppLWGldoxC6oJKaLddQqjsIwyAMK0LogjBc82zn5q1HNgngJ698z2b8LxYCG46EmMpqO+YwgAkhhBDyqfDW3DVSKFUjyaLJnV61JUOJorSrXJXQlViVRhWlfuV2KU9RkliaVlat9M2/8jWa1G6XXpXila9yL5lxh7R8tfqykspSxWe6rGPLEYt22qS89G2+WJEZKdhsvn6hUb+SZ3KL3EVyVx6SJK6uLM3kzkiK69uKpZD7x/3/dGurJd0rQuiCMAxC6KpC6IIYuqDSuiDkbkO9e3te1LvXG85ph/Mm5Cgh/+RXbCl972gp4T1OpAShq6rUZmvF8mwWhkEYVoTQBWFYtW39ar9J6nd6NbxsiZndKXcwK6+t/O1lABNCCCHkU2E/ASwTEkQSRY7aCXWlObe3tTMzpXNl+ZaUrWStXNA/9ytdGogWZEzqVG/UYkk7V7Csv0qRSu7Kt+Sr2aPtrqwd+ypR1A+UJbGaypZHF8OjC2H9p8i8fJXqlvqVSWnmaKqofag4krd663s7u4O5VXtSrkoDW30ZiXDJcn2jtCh3fDobOvTuFSF0QQhdEENXVWldo5C7DfXu7X4u3eufXtdOEMruJUcf+UuyYEnoJ1L65r7dWMIQuqBSm61Vqc0mYVgV5puF0AVhWBXm29a7RpwTy6FVWzyhHY2/Kn/JGcCEEEIIIW/Q94sWJUf1WySAJTKlV/WrDSQ4N11piVuHXzsBr/75W1m7ksv6aXgt3syaXTs9by2VC7L6JZmq7ThdO7CzKMOygqtvQM7ktPvKjCxHZoLxgh7A3nBeoneudlZkWbL8uC13WpYsVzec2qZgmZFI9oTzE6vRn9/egtYFoVRBCF0QhlUhdEEIXVUMXVBpXaOQu0bP91o7Rr3sXnKsiSSLegkPTPiuD9pOd2Dx6iqp2VqV2kRhHoThZpVwRWEehGGwff3rIbMvnIuni4vmGAOYEEIIIWQvJIalUbO1fZt19LiVjnUGtONRSe5Kpkqyyo2i3a8d0Urf8Pt8MXL7iVvCWPpW5rVDQMtw7bzBshB9K7HcJVLbj1rS1xPKbTi08/dK00oAm93pTWdKAliWM7UWre3wnF61p1ZsSbmXRK8sUxbuDOYGJvw/+37X+oVSBSF0VWEehNAFoXJVMXRBpXVByN2GX7Sbv7nvGJr0Dy+EXEF2LzkhyN+W6fXY4JS/Y8R9sddyIN0rKsHZJAyDMKwIsQrCMAjDqu1vHJ7ze8M5BjAhhBBCSBN7dNJ2beNwqVyVCj3fY/31XdPlfrv07ZPZkM2X1ZUo1eM2ENX2TJZwlYqTAEvXzmzsj+YTtfMh6ZuCpYT1PZzlFlmvlQvL1qQUr8zL7XKjLEQuSCSvO7STBs+ZElK/lto2501XWnp4w5mS9L1+z/FPtzB6RShVVQhdEIZBCF1VCF2wqXJVldAFIXeNnu+1do56700HFiwJednrvzxCThCFUtXqy+iHy/rmvu1cl0nJzpaoBGeTMKwK881CqYIwrArzoKF7G57t3Hg6648mCwxgQgghhJA3FMtVCd0dkdszee0MwNLAUlZjy5Ev2y2ffbspSoXKKqlk7chCeMWWlO/qR7GyeDM3HzodgWxGAjipBXAyU5KKluXoOz/LjL59WK7KmLP2eWBJZT2SZTn+WkiLskB77czAMr9qT95+6pYClxSE6BWhVFUhdEEYVoXQBSF0QQxdVaV1jULrGv2yw3LrsZubfMknhfyhmN3SNgh3P/de6bcoCfp+KrXZJAyrwnyzUKogDKvCPKhEL3i6ff3WAysDmBBCCCGfOhK9+vGr6td3QZpKj1Ip2ErteFqhePFcj01v4KdzoWy+8vBV8NqQXUpVmlaGg/FCIKad+zdb0MpZbpFO1o4XXTstsFbCtfMJy9JksYl0ST+dr0zKVxmTnyi3y73kFqsvE6kdHGvLnb7Yb4Po1YVSBSF0QRhWhdAFIXRVMXRBpXWNQuuC8mr0jHmHpv2LVu0/Pei/LEI+HUrlqiuYHV4IDUz6vn/sONf9fhuEldpEYR6E4WahVFVhHoRhUAldtHmeAUwIIYSQTx3pTGnLTWdavtZv2gkZk8SVNA3GCpK+cqFQrEq13psKfPfI9eu7pkevguPLkc++3bj9xCXJKkUt3SuV+yZxMyV3MHdlwHal39b2zL3hTEncSujq35IIDye0jwGHEkUpZ3kw8uO2t3+jnUM4V/ZF8mPLkf4J/+dt5hZ2rwjzIIQuCJWriqELKq0LQusarW3ydcka/8hiWNb+ucmXEPlLsmBJDE37e8e81wb3v0FYCc4mYRiEYcXm+ERhGIRhVQhdEIZfywAmhBBCCNGIJrXDUNWv7IQkllSoI5CT+jW5M4FoQVY3pW8lU+XClit9ussiyffLO1tSttGUdlDoUm2HaqlcizcjVx2BrKTvw5eBVxuxvjHf0KTfE85LHsvdJZgDsYLZox1Dyx3KydLkqyxEfqIUcrFcfTIbeqfuFSF0QRgGIXRVjZWriqELKqELQuuCF/u4yZeQvfCEc/oG4Rv3bWc6IFkbKsHZJAyrwnyzSnY2CcOqMA9C6IIwrMgAJoQQQgh5C/pWXOlY7WjPtXMUSZ1Kr2r7Kqe17cDeSD6ZLeeLletD2vGoni+G/dG8DCdqJwResiSs3sy8KX65z3ahx6o3m5SxL5qXhej7RWfyFSlkWaBEb+eo985Ttz+q7T6tnT8pU4L6hVgFIXRBGFaF0AUhdEEMXVWldY1C6IKf3zVdGbDJOv3j2SA3+RLyVmKp4suN2MCU7+4zl2G/aKU2m2z07W7CfLNKbTYJw6owD0LoqsJ8s6drnwEWGcCEEEIIITuj7X5c2zwrFRpOFJOZsjSqpK/dnw1EtUNSSeXKd0vlqq7cpX/M9+s7pp98u/FiKRJJaNtvpZClh7UjV9mS1wYdodoZlfR4k+XL0kJxbUuytjd1RjtPkix205nueu6VJUhXx9KlFVvyV3dMR7l7RQxdUGldoxC6ql+2m288cAxO+sZXIsF4ofbLIYTsC/mDs+ZIDU37u5+7r/SbsTnfCKELwnCzSm2iMA/CMAiVqwrzzTa6tyEDmBBCCCEEKZarUqTJrPbJWylS/bDM2XwlGCuY3GlpMElTaWBRVi7zxUqlul3d3pavM5uxs12WM52WwQm/3Ncd1A7aLJUrV1+ux+SCLFwWq/8Ihz9r8WjnQIqntQ3F0WRxw5lyBLKSxFZfZs4Ut3gzq/bUxV4bxKpRCF1VmAchdEGoXFUMXVBpXRBCF5Ts/6rDcnfYPTDlmzXF5SWq/XIIIe9Mtbpt92cevgr0T3ivD1rOdDT6E0IXbIztohKcTcIwCMOqELogDDcL0WuUAUwIIYQQ0kQmX9lwpj3hvLRrJFk0ezKSrBK3hVJVitQV1LbZyo1SrRLA/mheS9/KdrGkfdx30ZLofeFdsSXDCe0zwM5grnPUK5cl5CTn+sZ9yUx5ej0mbSzlLN+VRZUr23oDy8+y+bIL5oQsZN2Rkh8xtxW/0GuFZG0IoQvCMAihqwqhC2LogkroghC6oLxQ4vkea+eoZ2jav+FMyStf/90QQj4M+ZP1fDk8MOn77pF9zxMIK71qVAnOJmFYFeZBCF0QhhUhd8FTbWsMYEIIIYSQJorl6qYrLeYK2qbdfLG+x7KgV+uKNekMZD3hXLB23GbJY/3svjKwaE7I7XIXCVq5u5TtqU7L5X77z77f+slNrSov9dt/+t3m/elALK193FeiV7I5VTvXkdWXke6V+l2yJNbsqZ4X3rPdFghXEUIXhGFVCF3QWLmqGLqqSusahdAF9e4VL/Xb+sd9D18GrF55WZm+hLSedK48uxWXDG4fdl/oMWawEqtGldpEYR6EYdBYuTsK881C6ILSvQ0ZwIQQQgg5mejtqnfpOyHRZXKnpXIDsUKqtrtyA2ljVzAn33UEtP2iQ3HtOFj+aF7yVe4lPyuR0bblyo3ecN4dysmNd566JX1F6V6JwOdLkZnN+Jluy/RaTHJa+lkWIj9FvsqSPaGcxZuxeDLdz71KuGLrGoVhVQhdEEJXFUMXVFrXKISuqt69n7eZrg3aByd8IwthT1jbV5wQ8lEpFKubrtTQlL9zRM9gJVl1ldpEYR6EYdCYuDsK881C6Koa01eXAUwIIYSQE0i1up3MlIvNu85KEu+nh+Ve0qKr9qQkrhTvtuEe2ql9a4drDsYKUtcSunoDZ/LatmJ9plCqSsduutK+SF7ua/Vmesd8P7+9JQH8q7umF0uRh6+Ccvn6PUckWZQAFuUuyUzJ4c9uudJS13NbcQnC1+GKrQs2EndHIXRBqFxVDF1QaV0QQhfUu1dP31uPXYOT/qnVaCSx15moCCEtp6Tt87JLBivB2aRxUhWGVY2VqwrDzULlqkL0GmUAE0IIIeRkYgzXBnKjKGWrH4kKkDyWapVkdQZz3nBePdGODGhHbC5ph8jS986V9JVbKq+7Wi7IkvVtudFk0R/Na1t0vZnni+GvOszSvQ2lP9cdKbmLzL9cj0n0rliTIwvh6bXopT7tqFcQuqCxclWNlbujELoghi6ohC4IoQs2uldP35uPnJK+s1vxbKGiv4aEkINHz+B707UM7t6C4GwSQlcV5kFj5arCsCKELgitu6MMYEIIIYQceyRH1VjdDWnUTVd61ZbUz2Nk7ORworhsTdp8mUSmJFmrLlNu0fdwlgaWQs7mK8a7S8JJzcpMsVSVkJ5ai67ZU1K5rzZi4vhK5EyX5ee337Trtw+dM5vxe1MBuXx1wC4Dz+ZCF/ts0LpGG/fdTQhdEEIXxNBVVVrXKIQuaOxePX1rZzbyz2xou4LXX0FCyKEif76s3syuGQyhC8IwaKzcHYX5ZiF0QUjcvWUAE0IIIeTYox+BGSiVq6msdn7d+vXXyKSEruSrI9AUwNKusuYn4VqubEvZ6ht4VSR9pYElj2XhmXxFP/uR3C73kiXki9VgXDtF8IotKUE7vR6b3YrPmxKTq9GXG7Gp1eiSJdE56ukY8ZzubDrAlcTt1/cc2uGylOgVjZM7CqELQuiqYuiCSusahdBVxfS9a/rmnpa+8mrwzEaEHEEaGdz7wnu5d/fPBusqsdqkMXF3FOabhdBVhbjdjwxgQgghhJwcpGY94bxEbO3YVNqnc+EoVg1kUiq38SFhSdlVe1LW+aRs5XZPOCe36N8yosezM5iLJIvJjNbA8iOk4sRArCA/2h3K9U/4L/bbns6FJIAnVqMr1uS8Kb5mT0n6Tq9FpY3XHSm5ccGcON9jhdBVhdAFIXRBqFxVDF1QaV0QQheE7hUlfSXyByd9TF9Cjj56Bt/XM7jP/G7dKxorVxWGm4XKVYWmfScZwIQQQgg5KlS3f1Nq2qf4nanUdlGOJIr5YjVX2GEr7m5LD8ULy9akdKl+SOdMrmw8XFahWC3UUlmWL11tcmdWbFoty71Mbu1gV4FoQXpYL+GZzfjYsnaoZwldmy9j82Wn12KPZ4KPXgU7hj3yU+a24g+mAxMrUYnkkYXw/enA6U5LC7tXhNAFMXRBJXRBCF0QoldX0vfaoH2A6UvIcaORwT0vPPVDZCm92qSxclVhWBFCF4SUfT8ZwIQQQgg5ZKQtM3ntfEWxlHYOoXTtpLgf1MG7ID2cLexc2Mls2RvOS9BWKtuywle/9TXRZFEelX45li5tudMSt/rm4mLt7EfGZRZrh3R2186WJDOLZm3/59mtePdz71cdZuneeVNifDn6dDa0YE44AllJ4vO99c/9QuiqQuiCELoghq6q0rpGIXRBKF6jVwZskr4vliI8wjMhxxdXMHtv2tf+zHWuYxOqVdNYuTsK881C6IJQsB8oA5gQQgghh4w7lFt3pryRvMmTkfSVgLT5spnXwdlCjBt1gcZhnI3IPGxDrlS31+wpaTlPOC/NnM1XjPtRG5GnIH0r6ft0LvTwZbBz1Hup337jvnbE47HlyPhKdGYzLm3c88J3tlvbERpCF4TQBSF0VTF0QaV1jULoqkLuGr08YBucYPoSckKoVrflb/XQlO/7R/Yz+qZgY+LuaHPoghC6qtCuLZEBTAghhJBDplCqpnPaqYOcgZyUUjhRXHekYqmSuiW2JciS5UfsEcMNcoVK0RDAmXzZ6stI1m6505l8pXau4NSGM+WL5BvbhwVpZvkRI/Phu8/c3z5wji6Gh+fD3c99Vwcdt5+4+yf8T2ZCcovUb/dzL4QuCKELQuWqYuiCSuuCELogtC54vsfaP870JeQEUihWF8zxwUnf10MWzN2GSusahcpVhWRtrQxgQgghhBw+EpDu2olzA7GC2ZNZs6eMSdla4umSN5zf8RhXglS3/nFfFSnbRKYkX2UgWTvZrzuYkxiWpek5LcGczJQd/uzMprbD85UBe88LX9szjxTv+HL0/nRAbqmdEin+dDbUOeqB3G0IoasKoQti6IJK6IIQuiCErupXHebO556HrwLBWEF/3QghJ49soTK5Gumf8F0ZMO+ze0Vj5apCqbbaVV0GMCGEEEIOmUp1W2JJutcXyVu9GXHNkcoXW3ZuWGlpfUdl4+bc3ahub+9nbHtb62F/VHvAsiIol6V+pYc3nKkNZ7pz1Huq03K22/r9Y7dE7+V+e8eI90yXVW6Z24o/Xwx/2W6G6NWF0AUhdEEMXVWldY1C6IJQuTu59Xnb1nePnYNTPos3U3+ZCCEnmliqODwf6h3z7nDSYIMQuqBSqq213r0NGcCEEEIIOXzKlW1nILdiS67ZU/5owRvJ17/RCiRTt1xpXzSfypYlU+WWQvN5g+VGZzC3n52iAYlquZcsdtOVlscsMTxvSsxsxoemAneeuiV3rw46fnnb9LNbW3JZ+vZSn+3VRuzGfYcxekUIXRBCVxVDF1Ra1yiErqoSuuCW7pUB68Ckb8mSKO3jPx8QQk4S8tf1wUt/x4gbjo8FoauqxGprxfTVZQATQggh5EhQrW4nM2UJ0XSu3PJDQOeL9U/z6kuWcJVOk8v6sa9cwdzsVvy9y83m007tu2hJ6B8Jfrkek6uji+HP295s5v35ra3zPdZz3VapX2naQ+9eEUIXVEIXrHeveLbb3Dvuk+f78fZaJ4QcfSzezL0pv3Z8rA4MXVAp1daKxdssPwNMCCGEkKOERKl01HtsjFWRRYl66KrIrfp+y9FkcdOZlgZ+152updj1H+GL5OdNicczoSVL0uROy+XaGYCzN+47pWM7hj2yUjg46b8yYJerb+1eEUIXxNAFldAFIXRBJXRV36Tvl23mtmHP/Wm/L9rKLfaEkGOK/FGdM8UHJnxX+swQvWJzprZcCF3V+iQDmBBCCCFHCwngQvFDd6OVOk1ld2nf18gPSmRKNn9WClbM7nJYrN2QStcXn8yWny9GJlej0r1zW/FXG9oW4GVrcmw58vBlQK6OzIe/vqft9gyhC0Loghi6qkrrGoXQBZXKVX3TveLnd7duPHAMTvk2namPdLBuQsgxJZYqPpkN9rzwnO/ePDrd25ABTAghhJAjQaW2QVXI1Y4pVbvt/ZFF7RFm+aKWxhKuUqrZQiWSKNp8md22AMuA5/VxnlXk0W660gvmxPRaTBpYAnh2Kz6zGZ9YiT5fDG84U/3jvi/aTNC6RiF0VTF0QaV1jULoqiqhCzZ1r+6FPuvAhG9mM/bh/52CEHJSsXgzg/UzBmOCtkgIXRCG38gAJoQQQsiRoFLR9kl+182w+6dY0nZ41i+nc+VUruwIZB+8DGw604VSVepXfrS6xTiSLE6vx0zuzI4BLAuU1h1fiazZU9LSi+ZE7SxHsSVLQmK4ttuz7effY/HqQuWqYuiCSuuCELqgErogRq/u6U5zz5j36XwoluLZfQkhb6FQrM5sxgYmvFf6TFChHyCELgjDqjwIFiGEEEKODBKgu52D971phKsEcDxdkguZfGXRoh2r+cWSFq7jy5Fla1LaW01cmZT6nViJ5nbaOFwsVyV6JXen1qLzprjUryxHuvfJbHB0IfztQ6dUKESvLoQuiKELKqELQuiCSuiqYvQ21PZ5nvY7g9n68yeEkH0QSxUfzQS6nrvPdW0oObp/IXRVYR58M8kAJoQQQsjJQRJavm7XjqSlt7S+Ybl+ubrtjeQlU6Vp9X2V502JJYu22dbqzfij2seAGxms7SOdKQfjhR3rV1bpXm7ExpYiL9djU6tRWZTJnV6xaQEsXf3oVVDd8AuhC2LoqiqtaxRCF1QqVxVz1+i5bkvfuG98NcJ9ngkh74f8hRyc8n330PaOe0S/CdddhHkQhjUZwIQQQgg5ThTL2hmM6lea0bu3Wt0ulqqZfEU/2a98le6VDM7ky1vu9Mh8eHotKtErGaxvv100SwMnpYfDiWIorinDcsfdPvSrY/Zkns2Fpte1z/1Or0cXLYkNZ0oCeMGckEW1D3skWffTvWJT5aoqrWsUQldVCV0QW9for++Yvrhr+v6J6x6P80wI+WAKxar8zewf3+ce0RiuzcIwCMNNMoAJIYQQcpyQOhXrV2obdSV3pVf10/xK/UroxtOlVK4sY4FYYWYzZvdn/dG8tO7YUkQ/R9Fs7VjN0qsv12NSv+LUalQCOJEuxVIluRBJFvUF7kYoXpCQnliJvFgKy32leyWqrd6MdHXbsFvf/AuhC2LogkrrghC6oBK6ILYuKOkrXuix9k/6PuQMyYQQAsgf2IevAu3PXGd2PkA09mqzMKwK802erskAJoQQQsgRJZOvhBJFids9kJlgvOCPFiQ+tcNIb/9G6ldaVKJ0ej0mjaofmVkCVdJ305mW2/vHfS9rZyrS03duKyGTcrvNl80XtQNl+SJ5WcjeW4BdwdyiJWH2pGc346MLYfkRkr5rdu2YzxC6IIYuqIQuCKELKqGriq1rVO9ebcNvm6ljxPPwVVBWVetPmBBCWkS1ur1iS/ZrpwtubArGWFVsJO6OwnCTevc2ZAATQggh5IgiLfrWD51K9EqvRpNFyWBPOOcJ5aRdF82J8eWIpKkU6YZTOzizvtVXGli+3p8O1D76mzS5M3K7fqNE7PRazObLpLJlqb69t3nmixUp3qm1qKzDSWMPz4fk7nL5yWwIcrchhq6q0rpGIXRBpXJVsXWNNrpX9/KAbWDCv2rnCX4JIR+RWKr48GWg/Zmz9qlgrNbXGitXFYZRSF9dBjAhhBBCjjfZ2nmD88Wq3Z91B3OZfNkfzY8uhldqm2QXLYmt2nl69Y29EsMbzrR0r+6rjbiUnlyQfB1bikgDS/1qHyTe3pbF7rjxORArTK9rh3qWAJZQ7Bjx9I75RhbCXc+9F/ts0L0ihi6otK5RCF1VJXRBbF2j0L3iV23m7hfeZ3OhREY7XDYhhHxUXm8K9l7p22puVwhd0Di5g1C8IAOYEEIIIccYaVSpX/laKFUD0cJSLXcnVrRP5y5bk+LcVnx8JSqhq1WuVfvQr9mTmTcl5IJ8V+ZlUvJYbpTvyuVgrJArVDL5SjS1w8eA88XKC62ToxvO1JI1+WgmKA3cP+57PBNsYfeKELqgErogti4I3av7zT2HPBeTO11/qoQQciDom4LbtE3BO34q2Ci2rlEIXbAxxgAmhBBCyElAqnW1thPy6EJ4ak07wNWmK/1qQ6vcRe3IzInZzfimMz29ph8KK147/JV2LGiJYYlkCT8ZHpcAjheSmZI7lJN1sni6JA1s3A4cSRYlgPXtyXpdjy6Gbz50Xuitb/vF0AWV0AUhdEEldFWxdY1C8TY83WnpG/ONLUeyhR1O+EQIIR8bfVPwwITv2qBZiV7xTb6qQuiqwjwDmBBCCCHHg9LuJ0ASpFqfL2oHeRZnNuP6Aa6m17USXnekpHslg+Vb0q61DwNryu1yWWakY+Vbk6tRyeBMrpzOlWOpklzQL8tXPYJL5e1Vu9a9ckfR5svK5fZhzy9vmzB0VZXWNQqhCyqVq4qtaxRyF7w+ZB+c9DmDWf1lJISQwyKWKj56FewadZ/r2Hhr94oQuiAMN2QAE0IIIeR4kNX2TC7Xr9QolqqifjmZKY8uhFftKQnaseWIXNYzWEr15XpMulcq9/FMcGYztuVOb7rSG87U1Kq+p7S217RclQs2XyaeLvmjeSnh6TXt5EaOQDZX2y4qCewN519uaKdNsngzMqDXL4YuqLSuUQhdVSV0QWxdoxC6ql+0mzpHPcPzYYl8/TUkhJDDpVrdlj/j/RP+a4MmCNeGELogDKsygAkhhBByXMkXq42TFUmmzpsS+pbeVxvaRl3tY7oWbavvvEnbw1k7N9Ja9PlieM2ekrKdXo/q5+81e7T6HZz0f/fIKX7/2HWxz2Y8i++dp26pxK7n3hsPnE/nQlZfZnYrPrsZvz7kwNxtqLQuCKELKqELYuuCELroXc0LvdaBSZ+saOqvHiGEHB30TcG1TwW/2Q4MoQs2xnb17oouA5gQQgghxx5912jp4U1nenwlMr0ek6bVd1SWAF61JeWqtK6EsVxYsSWlhJet2oeEJYwt3oysaUnx6ja6V2x75nm5Efui3dy45dqg/dlc6Kt28+lOi8Qkdq+otK5RCF1QCV1VbF2jTZWrWute8Ys20/dPXPdfBmQVU3/1CCHkqFGtbi9aEv3j3ks9G9C6IIYu+Lp7GzKACSGEEHIIGI8s1SrKle1QvBCIFqRvp1aj+hGw9CNd1Tb5apuFJ1ej86b49HpULusfD5YMlgvfPnA2Krfhnafu0cXw949dUsji3afuX0rHQvHqNocuCKELKpWriq1rFENX9XX6iqe7tONdzWzF9/g0NSGEHBGCscLApP/mAytEr4ihCyrd25ABTAghhJBDQD3D0IeTyVes3ky+WAnGCya3djKk2c24xZPRu3fRnBhdCNeqWDsitP55YLmqN/DIQvirjjdbeiUUL/bZvmw3Xx2w97zwXuixdj/3rtlTVwftrepeUQldEFvXKFauqqF7db+57xia8vN4V4SQY0ShWJU/3V3PPec61t/evaJSvE22MYAJIYQQckgUS9VK9e0bgnfcVmy8sVzZ1rdnyo3ZfCVXqEhdB2MFidul2mmBV6xJcXpNO+TVoiUhHbtiS0oSS/fKVXHVnhxdDEvufvvA2TvmG5z0P5kJ6luMN5ypyZVo54jnxn3n3Wfu/XSvCKELKqELYuuCGLqg0r3iV+3m7hfe4fmwrErqLxohhBwjNp2p/gnflb4tzN2GELpg2xsZwIQQQgg5HPJFPKrzjqg761a3tx3+bDRZlAuyhEKpfigsuSoXpKszuXI4UZSC1T/oKw287kgNz4ekh19uxCR9n9fO5asfDeuFdlrgxJI1+c19Z/+4T5Y8s6GdK1jC2OLJ6DMPpgPSlh+4yVcJXVVsXaNNlauqRG/DC73W/gm/rD7qrx4hhBxHYqni/Zf+24/tZ9rfp3sbMoAJIYQQcmhU97EFWKVYrsZSpUiiKAmt5nEqqyWxrCpJ2b7aiM1uakds3nSmJWVX7fUzA0vuLpq1cwJPrUW1LcC2pETvQu0g0jKjbzc2ezIbztST2dC3D5ySkdC6RiF0QaVyVbF1jWLoqirF2/CLNtOdZ+5Hr4I83hUh5AQgf/Dlb3jvmPdC1zq2Lqh0b0MGMCGEEEKOOuXKdnWnPaHV+tV3h9Y3CEeSxTmTlr6SsiZPRqo4ECtI9JrcablRqnhiJSq5KyUsoSsZLLX8eCY4taodH2velJB7SQl/c98BudsQQldVCV0QW9coVq6qkrtGP28znem29I1rx7t6v//KQAghRxNnMDs46bs2YMLoFZXcbbI2wwAmhBBCyFFH2rXy+ny/grSwnsPZQkVvXUFuyeTKuWKlUcrSzMlM2ebLbrrSa46UJ5yXALZ4MxLAogTw1FpUQnfZmpTWXbOnns2Fni+GpYen12Pi5Gr08oBdShK6V4TQBZXQBbF1QQxdUGldo/JodS/22WQF0RPK1V8LQgg5QaRzZfmL3THs0naH3l/3NmQAE0IIIeSYkS9W9KNn6dGrb+GUQs43H+EpV6hEk0VHIOsK5tyh3IYzpVk7ObAE8Ko9ObESXTBrR8CSAF6xJZ/MBIfntQaWy+MrkW8fOlvavSK2rlEMXVBpXbCRvuKtx9ppfhOZUv2FIISQE4f85Z83JfrGvBe617F4Gzanry4DmBBCCCHHBineWKooWds4fHSxVJXSy+Qr+lUjsnok34qlSlLC4qYzbfVmxpYjk6vRJUtixZqUGJYb9SNdPXgZeDwTHJjwP18Kz27Frw6+2fYLoQsqlauKrWsUQ1dVaV2jxu4VT3WYu1/45DmqO4cTQsjJwxPKDU7qR4d+S/c2ZAATQggh5NggAZzKlvOv93OubmtbfcU9PuaazpXlLvF0SVo3FC+YPRl3KGf3Zxdqn/J1BXOSuyML4e7nXgngwUm/XO4d80lbQuiqKqELYusaxcpVVVrXKHSv7rkey8CEb83Boz0TQj4hEpmSfnRoCF3V022aDGBCCCGEHBvgUFjSvXufSVgGktlyMFaQAHYGsnJZX0C5sr3u0A4KPbYcGZryP5sLvViKSPoOTPgv9dt+tWf9KqELYuuCGLqg0rpGoXiNfn3PLk/EF8nXnjchhHxClMpV+QPeNeqpfyR4p+5tyAAmhBBCyOHQHLP7QoJ2j429u5EvVqPJYiJTyhcryUxZjKWK+keCbz12db/wji6G24c93z9xQ+saVUJXFVvXKIYuqLQuCLlr9Mt2U/uI5/FMMJ17+0mVCSHkpLJqS/ZPeC91b+zYvQ0ZwIQQQgg5HErlHc9t9FGoVLUjQstPdASyvkg+kizObMZebcSezoVGFyODk/7P28xQvA2V0AWxdY1i6KoqrWsUWhf8os18utPa88L7cj2695ZwQgj5FJA/7wMTvusDJoheowxgQgghhBxv9rNNOF+sSgAXSlUxX6x4wnmzJ9M56u0d88nXLzssEL2iErogtq5RrFxVpXWNQuiqSvqKl/psfeM+iyddf5KEEPLJk8qWH77y33niON3e1L2n7i7rMoAJIYQQcozZ3v5NqbzfjZ/a4bK2t9O58qo9NbYceToXGpjwf9HetO1XCV0QWxfE0AWV1jUKlauqd6/uzYfOoUl/NFWsPzdCCCE1KtXt6bVoz3PP+c71Rvc2ZAATQggh5CQjxaufE0ja1x8tSP36o/nRxXDnqHdkIfzl6/pVQlcVW9cohi6otC4IoQsau1f8qt3cMeJ5NhfKF3c4+RMhhBDB5Er1jXsv9WADM4AJIYQQ8kkgAVwsV23+7LP5sKTv0FTg+j3HB27yxdBVVVrXKIQuCN2re6rDzA/9EkLIfgjEtI8EX+7dYAATQggh5JMjk68kMqWZzfijmeC3D53XhhxK6xrF1jWKlauqtK5RCF1ViN6G57qtfePeRWuy/pQIIYTsifzZ75/wXevfYgATQggh5PhRrmz7Ivl4ulS/vjsyqe/53CAULyxbky+WIlcG7EruNsTWBTF0QaV1daVdrw85oHJVja2rerFP6tdn82Xqz4cQQsg+SGXLQ1O+b4ZMDGBCCCGEtIztbe3TtvUrH418sWL3Z7P5t3/2VQ1ghz87shC+3L9b/WLrGsXQBZXiNXqp3/ZFu+l0pxlytyGELvhlu+b1IfvgpD8Qy9efDCGEkH0j/6/x4KX/5gMLA5gQQgghrUENzkNBO8qzkuFySyZfmV6LXeyz7bN7v2gzXb9nP91pwdYFldw1qvftxX5bo3WNQuiq6ukr3nrsujftT2Tevt2bEELIjsj/Qz2eCdx+YmcAE0IIIWRf5AqVWKq445GHM7nyzGbMGcjWrx8ShVI1lS2rG6KTGXl48eY9n7F4jUrZnum03HnivtxvO9dtbSpeXaV1jULoil+0m64O2t9cVVrXaKN7xa86zHeH3Y9ngvvZ6E0IIWQPKtXt54thBjAhhBBC3kK5su0O5vrGfKc6LB0jnnCiGE+XoqliOldOZkrRZNHkTg9M+BbNiY+/E/ReyMrNjrthW32Z19t+sXVBY+Weajdf6rOJb25UWtdoo29VJYDP91ohdEFj9+qe6jB3jXrHliNHYdM6IYScAOT/JhjAhBBCCNmLbKEyPB/+2a1N8Wy3Rb5eHbR/c9/x9T2HfJUefjIblEiT+j30LcA74ghkv7nvhNAF3yTuaz+Xpr1jOt1p0QK4OXRVIXdBCF0QorfhmS7tgM/z5kT9aRBCCGkFDGBCCCHkGFMoVcuVj7LV1R3KTa1FX23Ehib9Er2/+H7rq3azZKFewro//35zYML3YimSypblLodyZlr96e+25XnDmbrUZ4XcbWgsXvGLu+bz3dazXdZz3dabD5xyVeL28oDtdJfFmLsNIXRBCF1VKF6j53qs/eO+LVeq/jQIIYS0CAYwIYQQclyR+i2WWr9zrCOQ7Rjx6Bt7G37VYb7YZxMbt/z8+y1RJpesyY8U4XtTKlcz+Uo8XQrFC3KhfqsBhz97cZf6hfTV/bJN2+dZ6vfKgF2eqSSunqnG6BUhdFWNlatqDF3VL9rNF/qs/RM+dyhXfxqEEEJaBwOYEEIIOa5I/bb8M7eRRLFt2N2o3IYXeq3ilQHbmS7LqU7LuR7r1UG7ODTp33SlDyWAi+VqqaJ96DeVLcvl+q2v8Ufz1+/Z99O9b6z17fle6+V+2+0nbrksT/PyQH0XaKhcVQhdEEJXVdJXvD5kH5jwRVPF+tMghBDSUhjAhBBCCNGQnN5ypaX9IH0b/vz7LenAs91WPYB7XvgmVqLjK9EFcyKZKX+MBpaslcLX1cnkK7nC24+HHIwVpCSleL/QulTbtCt+JZ3Zpu3FvWP3NrzYp521yHjLtSH7hT6rsXWNqqF7utNivLq3evfqfnPPfm/azwM+E0LIx4MBTAghhBCNh68CUrl61MmFs92W012WM10WKV5R3+HZaNuwZ3g+/HQ2NL4cmVqLmtzpUrnFDax3b7W63ajrbKFSeltphxPFF0vh54vhqdWoOL0W07/qt8xtxa8POXZMX1B/Kb7sMH9z33F1yH6q06zfottIXPBUh+X2E/eFXhuELmjsXt1vHzkfzQR3PMsUIYSQVsEAJoQQQogWme21PZ+/ajdL+p7rsV7qt9186PzukUs83Wn5vM1srN9f3jFdHdD2fx5bjvij+XSunMlXWrI/9m6nMlKRKXUncKnf4fnQy/WY1Zux+bIWj/bV7s9uudKzm3GbL+MK5l5txLpfeL/qwA/3inKjPPHvHjmv37PLiyBX9dw93/vmslTuV+2Wb+47jd3bUOL2TJflfI/VmLsNIXob6vXL0x0RQsjHhgFMCCGEHBuk9j5SI8liO0c9jV2df3G7HrpXB+3tw57TXZbbT90SgdKE2oeBe6xnuyxtzzzecD5fbNnjkfTN5iuxVGnHI1rpyEzjWNOZfNkXyRcMhwGTq3eful8sRtYdKSneFVtyYkXb9rtqT0n0ylXp4U1nWqJ9dis+PB++8cDZSF8p2yuDNvHqkPbZZonVKwO2s91S/jtv8pUGNl41Vu6OQvEavfPM/WSW9UsIIQcBA5gQQgg5Nkj7tTA4ge7nXj16jf7qjvaZ2NtP3N8+cF7q07YJfz3kuP3Y9ehVUGqzfs8WIQuMJovaFuCdTqekb+qVL/om32LtENCNqzqOQFYemJ6+y9akvufzkiUhuStX12pVPGeKT6xGX27E5rbiM5vxF0uR3jGvnrjneixftNdzt6GxclWhclWhdUEZuDvsfr4UaVQ9IYSQjwoDmBBCCCEaOwbwL2qer234/fqe41y3VTsKdId5aNJfv1uLkL4NxQtwMGeJ20y+XChq8QuHhvKG8xZPxnhALMlmWYIrmDO5tb2dH88ERxbCG86UxZtZMCfGlyNyVb5OrkYfTAd6x3xSxS/XY9PrMZmE6BUhdFWNlasKoQvqM191sH4JIeSgYQATQgghRAMCWE9f8Ys208Ve2/Uhh3y9/dh1qc92bdC+5UrX79Y6jNtydUqVbQla/bhQUsL6BW0/8Mr2piu9bE0m0qVGPfoiebM74w7l5FvSvdK3+o7Q0sOvNmJPZkPP5kNPZ0PDCyEp3ocvA1Nr0YnV6LDcOBc63/vmIM8QumAjcXcUQle1MSn12zninV6Lsn4JIeQgYQATQgghRKOrFsCN7m34+V2TeHXQLg38ZDZo82UjyQM6S60kcWN3aLngj+ZT2XK2oJ0JKZktGw8HLW0s3btqTy1ZEhK9m870lltLX1Eujy6EpXKfL4WlhCWDx5YjC+bE5Gr0xVJELrcNuy/0WSF0wUa47iaELgjDev3Kg6k/ekIIIQcFA5gQQggh2uGU700FrgzYoX7Fi722y/22Gw+covRk/Q4fk91OKSzdK0oVp3Nl44ZTiWGrN2PxaG44U+sOLYNnN+PSwGZPZs2RksvSui83Ymv21LO50LwpvmhJLFkTckFuP9XRdDgroxCuqhC6IAzrnuowd79g/RJCyOHAACaEEEI+deLp0sCE//qQ48Z9p7Su3r2/vmOSWquFnOkXt7cevAyksvWdkD82b90rWBq4sb90sVyV0JXolQZetSelbOWyFO/4SmTTlZ5YjcoFqWIJzoevgqOLYcngZWtiwST1q02e6955268xWVWNlasKw0alfnteeFftqfqjJ4QQcrAwgAkhhJBPmlyh8mIpcmXA/s09hzSwdK8WwLe3TndZLvXbtJMe9WmntJWGrN/hiJHMlCV0t8Ta3s7yddmW1E50tKkd7XlqLaof/3l6LSrl+WgmKIU8vRYTJYk7R7wt7F4R5sHTneaeMdYvIYQcJgxgQggh5JPG4s08fBl4PBOUPrz12HW223J10P7LO1oD68rl6fWYfhaio0BVHsrrx5LKlk1uLXpfbsQmV6P6Ps/zprh+ECx52JK7C2ZN/aRHEyvR0YWwTEqFSjZf6rfvp3tFCF0QhsGvOjT1+l13sH4JIeQwYQATQgghny6RRFGa8NGroATw7ScuCeCLfTZj/X7eZhpdDGeaT0F0uMiDSWRK+vmQY+mStK50r4Tuq43Yii0p1jJYOxD01FpUu+pK68fH2nSmX67Hns2FZjbiJnemf9x3rkfbuL2HELogDKvq6duoX277JYSQQ4cBTAghhHyiRJLFF0uRBy8DXc+9naOeu8/cX99zNNJXlMabXI3CCXgPkVS2HIwVYqliKF5IZsqFUnXdoR3yyu7PSvFavBlp3dmt+JIlId1rcqen12IPXgYfvgwOTfpvPXLdnw7cmwp899DVN+b7/rELYtWosXJVYVi10b26pzq1o16xfgkh5CjAACaEEEI+RRyB7LcPneLIQnh0Mfx8MSx9+P0T16V+2y/vmMTP28wzm3GZPAr7PstjkPo1ezK+SF6CXD9KVjhRnN2MS/HafNnN2vl+Fy0JubpqS+rFe+OBs/Hh3v3s6gyhqwrzIHSvrtRv56hXHpX+RAghhBwuDGBCCCHkk0Ny8UKfVd/M+819x73pwKNXwc5Rz9VBx1edFqnfcz3WeVOiPn0EKFW24RjU6Zz26V+rNyMNLN274UzNbcXl8tRatHfM907dK0LogjAMQvEa1euXZzwihJCjAwOYEEII+YSIJosL5sTVQXtjP2fx8zbz6S7LqS6LxN7FPps08OPZUP0ORxVPOLfl1rb6Pl+MDM+H+8Z814cc14YcX99zSJQeQPeKkLvgqQ5L2zP39Fq0/ogJIYQcARjAhBBCyKdCKF749qHzl3e2bjxwSKHpuzobvTJolxjuG/cFY4X6fQ6cQqkaT5em1qKPZ7TT9tp8mUS6lM1XSuWqvhG4ur2dyVckfZesyZmN+NUB+1cdlsbG3v2kL4QuCMOqxspVle7VlfqVOH/rOY0JIYQcJAxgQggh5FNh0ZL4xe2tX981dz33fvPAebHPdnnADg0sN7pDufodPjLStMF4IVeoSNkmMiX5Klnb9dxzVetwk+65HqtcvX7PIel+bch+477z1mPX1/ccl/vtl/rt57qtrepeEeZBCF2w0b26d1m/hBByJGEAE0IIIZ8KT2ZDkrhSelK5v7prkoA8021tpO+vakpeftRsyxcrEr1brvSLpYhU4vke652n7ttPXLefuuSClGQjfY0aK1cVSlXVWLmqMAwaK3dHIX3F7x66nsyFWL+EEHIEYQATQgghnwQWT+bXbU27PZ/qtHzeZta7V/dyv93my9bv0GpKle0td3pw0i/RKz/613dNIoQuCKGrCrEKQuiCMKwKoQtC9DaU+n00EyyVtdMUE0IIOWowgAkhhJBPgtmtuLF+RWP6ime7rY7A+9RvufKWTZ25QsXmy4wshKVpT2r36n5z38H6JYSQowwDmBBCCDn5bG//5uGr4I7d2/DakENKtX6Hd0EWvmZPrViTmXylUKxGksVYqjhvSkytRcWX67Hu515Jx7d2rwihC0KpghC6qjAPGitXFUJXVWau37MPTvmN52oihBBy1GAAE0IIISecSnX70UwQcldx61SHeXL1nc/Zky1U7k8HJC+lb7975BKvDdlvPnTqW3obQuiCELoglKqqsXJVYRg0Vu6OQuiCjbFL/da+cV82z/olhJAjDQOYEEIIOcmUKttP50JK7hrdavhlu2nRkqjf823ki5Vkttwx4oHWNQqhC0LoqkKsghC6IAyrNtp1RyF0QRg+12PtHfdFk8X6S0MIIeSowgAmhBBCTjKheOF0p0WJXvFN9xq9Omj3RfLqEYy3t7WP8mZyZW84b3ZnXm3Evn3olGEoXl0IXRAqVxVKFYTQBWFYFdoVhNBVhXnxbLe1d8znjeTrrxQhhJAjDAOYEEIIObFUq9sDE/79dG/DX98xnWo3P5sLWTyZYKyQypaTmXI6V162Ju88dXeMeC722SB3G0LoqkLoglCqIISuKsyDUK0gVK4qzDc83WnuGfOaPen6K04IIeRowwAmhBBCTiwr1qS03z671+gXd81nuywXeqxX+u1f33NI957trp+4aEchdEEIXdCYqTsKoQvCMAi9qgqhC8IwKPXb9dw7Z9rvTuOEEEIOHQYwIYQQcjJJZctXB+0QuiB0L6qELgihC0LoqkKsghC6IAyrQqyCELogDKueqtn2zP1iOVJ/uQkhhBwHGMCEEELICUTqt33YDbnbEENXVWldoxC6IFSuKpQqCKELwrAqlCoIoasK86Devbq3HrkezwTVD0sTQgg5yjCACSGEkJOG2ZP57qETolcXQxdUWtcohK4qhC4IpQpC6KrCPAilCkLlqsI8aOxe3a+H7IOTPOUvIYQcPxjAhBBCyIliy5WWZmth94oQuiCELgilqgqhC8IwaMzUHYXQBWEYhOhteLnP2jfmS2XL9VecEELI8YEBTAghhJwcfNH8qc439YuhCyqhC0LoghC6qhCrIIQuCMOqEKsghC4Iw6pQvEbP91h7X/hC8UL9FSeEEHKsYAATQgghJ4Tq9nbvmPft3SsqrWsUQheEylWFUgUhdFVhHoRSBSF0VWEehNZVPdet1a8rmKu/4oQQQo4bDGBCCCHkhFAsVy/32bB1jSqtaxRCVxVCF4RSBaFyVWEehFIFoXJVYR6Eyt3NM53m7ufeTWeq/nITQgg5hjCACSGEkBOCJ5w/22XF6BWV1gUhdEEIXRBKVRVCF4RhEEpVFUIXhGEQ+nZvT3eaO0e9rzbj9deaEELI8YQBTAghhJwQHr8KHlj3ihCrIIQuCMOqEKsghC4Iw6oQt/vx1mPX8Hy4/kITQgg5tjCACSGEkJNAoVhte+bZT/pC6IJQuapQqiCErirMg1CqIISuKsyD0LT793K/dXDSXypX6681IYSQYwsDmBBCCDn2bG//5tlcSOoUWtcohK6qsXJVoVRBqFxVmAehVEGoXFWYB6Fm39Xz3dbuF95oslh/rQkhhBxnGMCEEELIsUcC+MYDJxRvQwhdEEIXhFJVhdAFYRiEUlWF0AVhGISOfT9Pd5q7X3gc/mz9hSaEEHLMYQATQgghxx4J4O8euVrYvSLEKgihC8KwKsQqCKELwrAqROyHeHfY/XIjVn+VCSGEHH8YwIQQQsixRwL4m/uOQ+9eEeZBKFUQQlcV5kFo1w/363v2RzOBSnW7/ioTQgg5/jCACSGEkGNPdXv7/nQAWheE0AWhVEGoXFWYB6FUVSF0QRgGoVpb5cVea9+4L5uv1F9iQgghJwIGMCGEEHISSGRK7SMeiF4RQheEUlWF0AVhGIRSVYXQBWEYhF5trWe7zD0vvKF4of7iEkIIOSkwgAkhhJATQrZQGZry76d7RYhVEEIXhGFViFUQQheEYVWI1VZrOt1p6hz1rNiT9ZeVEELICYIBTAghhJwcsvnKN/ec0LpGoVRBCF1VmAehVEEIXVWYB5VSba2mhrefOF8sh+svKCGEkJMFA5gQQgg5ORRK1VuPXBC9IpQqCJWrCvMglKoqhC4Iw6BSqq31TffqXu63Dk76S+Vq/QUlhBBysmAAE0IIISeHULxwddC+z+4VIXRBGAahVFUhdEEYBpVSbbmYvuL5bkvPmDeVLddfTUIIIScOBjAhhBByclixJT98ky8Mq0KsghC6IAyrKqXaWjF6G57uNHW/8Dj82fpLSQgh5CTCACaEEEJOCOXKdt+4D2LVKISuKsyDUKoghK4qzINKqbZWzN1mtZm7z9wvN2L1l5IQQsgJhQFMCCGEnBBK5eq1QTtUqwiVqwrzIJSq6qU+2zf3nJC7DWEYNDTqxxBCV7U+ebnfem/KX6lu119KQgghJxQGMCGEEHJC8IbzF3ptxnaF0AWNk6pQqqqNxD3dqdm4qgvDYKM8P5oQumDT8Nkuc+8LbzRZrL+OhBBCTi4MYEIIIeSE8HgmqLcrhC7YSNzdhFgFIXRBGFaF+Gy1ELogDNftGPGs8ay/hBDyacAAJoQQQk4IQ1N+aF0QQheEUgUhdFVhHoTmbLUQuiAMN/nNffvTuVD9FSSEEHLSYQATQgghJwF/NP/tQycUry6ELgilqgqhC8IwCLXZaiF0VWEeNF3otfSO+fLFSv1FJIQQctJhABNCCCEngYmV6CfTvSKELgjDYH1MO+/Rc48nnKu/goQQQj4BGMCEEELISeDlRmw/3StCrIIQuiAMqyq12VobibujMKzaNH/nqXt6nec9IoSQTwsGMCGEEHISGFkIQ+iCUKoghK4qzINKarbWpnBVhGFVmNe81G8d4nmPCCHk04MBTAghhBxvpOJebcTOdluheHWhVFUhdEEYBpXUbK1YrYowD8LwG892mXpeeCM87xEhhHx6MIAJIYSQY8z29m8cgeypTktLuvdCr+1Cj+3KgB2GQSU1Wy4ma7MwDMKwYvtWx4ib5z0ihJBPEwYwIYQQcoxJZcudI579py8UL/jtQ2fnqGdgwn+qE++oq9Rma1VitUkYVoX5Ztu3dL+5Z+N5jwgh5JOFAUwIIYQcY0LxwqU+2wd2r9iYPNttOdOFez4rqdlalVhtEoZVYb7Z192re6HHzPMeEULIpwwDmBBCCDnGLFoS53qs0KtGIXRBGAaV1GytSqyiMA/CcLPN3at7umOr+7nHFczWXztCCCGfHgxgQggh5LgSSxV3q18IXRCGQSU1W67Sq03CMAjDikr3Nrz5wD6+Eq2/doQQQj5JGMCEEELIcSWdK/eN+5rbFVvXqHFyR5XabK1KrDYJw6ow36ySu012mM73WLjzMyGEEAYwIYQQcozxhHMXeq0QuqoQuqCSmq1VidUmYVgV5puF0FV9Pdk16rb7M/VXjRBCyKcKA5gQQgh5HyrV7Xyxsr1dv3qIPF+MQO42hNAFldRsrYZM3VmYB2G4Wahc1eb560O2J3OB+utFCCHkE4YBTAghhLwPqWzZHcrlCoe/S60nlPv6nrO13Xu6E295F5viUxGGQRhWhNAFYbjm2S5T93NPJl+uv16EEEI+YRjAhBBCyPtQ3d4WK9UjsAn4N78ZX9Y2AkPoqiq1ubOX+mzf3HPoF852SVHjwC5ieTYLw6ow3yyELgjDzbaPuNfsiforRQgh5NOGAUwIIYQce9yh3OV+G+RuQyU19+v1Ifu57rcGMAZnszCsCvPNQuiqwjzYvnWl3/Lgpf+I/HcKQgghhw4DmBBCCDkJTK5GW9W9+1OpTRTmQRhuFipXFebB12NnO03dz93xdLH+GhFCCPnkYQATQgghJ4EJQwArtflu3nzovHHfcVE7uDR+q6YSnE3CMAjDio3E3VEYBmG4fevOE+eShTs/E0IIeQMDmBBCCDn2lCvbt5+4lNp8H68O2DpGPOe6LcpxsJTgbBKGVWG+WaVdm4RhVZivebHXMjDu5c7PhBBCjDCACSGEkGOPP5q/2LfbBtt3Uz/w1fUh+437jmuDdkxNFO+uCPPNKtWKwjwIwwZPd2x1j7pD8UL9BSKEEEJqMIAJIYSQY8+rjZhSnh/kmU7z2S7tKzbnG5vmFWG4WaVXUZgHYVi1Y+vWI8fUarj+6hBCCCGvYQATQgghx56ZzRYGsBKcTcIwCMOKUKogDIMwrNpR93yPqfeFJ188/FM0E0IIOWowgAkhhJDjTbW6/WIporTou6oEZ5MwrArzzUKpgjCsCvPg6+5t2DXqdgWz9VeHEEIIMcAAJoQQQo43Vm9mH2fr3U2lNpuEYVWYbxZKVRXmQRgGle7VvT5kHZkP1l8aQgghpBkGMCGEEHK82XSllSM2v1WlNlGYB2G4WShVVZgHYVhVid6Gpzu3ep67eOJfQgghu8EAJoQQQo431e3tYKzQNepRMnVHleBsEoZBGFaEUgVhGIRhVSV3m6zNfP/IMbcVq78uhBBCiAIDmBBCCDkJDIz7lF41qgRnkzCsCvPNGjNVFYZVYR6E0AUNk+e7TH1j7lK5Wn9FCCGEEAUGMCGEEHLssXozZ7t2/BiwUptNwrAqzDdriM+dhXkQhkEIXVWYb99qf+Y0uZP1V4QQQgjZCQYwIYQQcuyZXI2+Q7hqGodVYbhZpTxRmAdhWBVCF4Th117qM9+f8tZfDkIIIWQXGMCEEELIsefleuM8wEpwNtlI3B2FYUUlO5uEYRCGVSF0QRgGOza7Rl2heL7+chBCCCG7wAAmhBBCjj2ZfKXtmQub840Quqow3yzUJgjDqjAPQuiCMKz4Vfum+PWQZWwxVH8tCCGEkN1hABNCCCEngVVbEssTK1cV5ptVahOFeRCGQQhdVZhvVu9e3TOdW93PXZl8uf5CEEIIIbvDACaEEEJOAoVStX3Y/bo/IXRBQ6aqKrWJwjwIw6oQuiAMN2vs3obfP7IvWeL1V4EQQgjZEwYwIYQQckJ4+DKgtK5RJVZBJTibhGEQhlUhdEEYVoTobXiue6v3hatS3a6/BIQQQsieMIAJIYSQE8L96d0CWOlVo4bOvD5oPdN8Cw6rGodVIXRBGFaE3AVPtW+2P3O4Apn68yeEEELeBgOYEEIIOSE8wC3ASqwaVWpTvNpvCGDjsKrhXjsIoasK881C6ILSvbqXek0PeOojQggh7wIDmBBCCDkh9I/73q97m4R5EIZVIXRBGG4WQle1kb7i6Y7NrhFnPF2sP3lCCCFkHzCACSGEkJOAzZc5171n/SrB2SQMgzCsCqELwrAihC5o7N6GXw9axhaD9SdPCCGE7A8GMCGEEHLsKZWrvS+8WK26Sm02CcOqMA9C6IIwrAihC0LxGj3dsdnNzb+EEELeHQYwIYQQcuwxudO4+VepTdQ4rArDIISuKsw3C6ELQuvuaG3zb6D+5AkhhJB9wwAmhBBCjj1PZoP7Clexkbg7CsOqELogDDcLoasKlbubtc2/Dm7+JYQQ8h4wgAkhhJBjz8h8CGoThdAFYVgVQheEYUUIXRD69q1y8y8hhJD3hgFMCCGEHG8KperDl35ozroQuqowD0LogjCsCKELQtbu0zPc/EsIIeQDYAATQgghxxuHP3umU0lZCF0QhkEIXVWYbxZCF4SgfVdvPuDm30+deDK9uGpxuPg2ICcHeUu31vpyyU4wgAkhhJDjjcOfedOfELpgY2w3IXRBGG4WQlcVUvY9PNu51TVs5+bfTwdp3dHJpc++vPWnf/F3f/SDv/m9P/7R7/zhD/+v/89/bVRu/OFf/eSv/uNXMsYqJscReZ//3/5f/194Y3+gdqe/vnSiwAAmhBBCjjGV6vaTmQCGLqjEKgqhC8KwIoQuCBH7IXLz7yeCdOyZaz0SvXru/l/+Hz/YpzIs9/rbz65INteXRciRRwL4nd7n+5EBvAcMYEIIIeQYk8iUrgxYsXgbKrHaJIQuCMOKELogtOuHe7Zzq3vUnsmX68+cnEQkXH/4Vz/RN2HBCv07KXeXeJYS3t7eri+akKMKA/iAYQATQgghx5h4unR1wNbK7hVhvlkIXRCqtYV+/8g2b4rWnzY5cSyuWqRXpVphPf4DlQV+2/ao/jMIOZIwgA8YBjAhhBByXKluby+a46c799e9IoQuCMPNQuiqQq+21rOdm92j9nyxUn/m5ATxkdK3oaTFH/3gb262P67/PEKOGAzgA4YBTAghhBxXMvnyjft2KNUdhNAFYVgRQheEUm21G7rfP7Jy8++JpP/hxP/9//1vYN39Y6hncCyRqv9gQo4MDOADhgFMCCGEHFdS2fKFHjP06hshdEEYVoTQBZVSba317tXl5t8Tiaz0/+1nV1q+3r+3v/fHP1pYMdcfASFHAwbwAcMAJoQQQo4riXTpYq8FwhVDVxXmm4XQBZVSba1N3duQm39PHrLG/2/+l5/CKvvBKKXR92C8/jgIOQIwgA8YBjAhhBByXIkkCk1bgCF0wcbYTkLoqiqx2loxehvWNv/auPn3JLG4avlv/4f/GdbXD1KJjdNXu+uPhpDDhgF8wDCACSGEkONKOle+3GfB0AWV1gUhdEGlVFsr5m6z2syNe+bptWD9CZPjj8MVOJgP/e6t9AZPkkSOCAzgA4YBTAghhBxXMvnypd0CWAldEEIXNDTqxxBCV7U+ebpjs3vEFk8X6k+YHHNkRf+//9f/G6ypH6LcF5ocBRjABwwDmBBCCDmWVLe3XcHs+R7zO6UvhC7YKM+PJoQuCMOb1wZMYwtcjTs5HNbnfndTqoPHxCKHDgP4gGEAE0IIIceScmX7/rTvdGcLuleE8my1ELogDL+xa9jmCWXqT5gccz778hasox8Ff+cPf8hzI5HDhQF8wDCACSGEkGNJqVy988QJoasKoQtCcLZaCF0QhtHLvVsPp1z1Z0uOOWeu9bR8Fb9V/ulf/B0/DEwOEQbwAcMAJoQQQo4lmXz55gM75G5DCF0QUrPVQuiqwjxYH+t8ZnP4uGnuJCDr97/zhz+EFfQj5Wdf3mIDk8OCAXzAMIAJIYSQY4nDn7nabz1K3Ss2EndHYRhsGj7ftdk/aq9U2SQngaO587PR3/6DP2cAk8OCAXzAMIAJIYSQY8nsZmyf3Ssqtdlam9pVEYZBGK7b/sRicsXrT5UcZxyuwBHf/KvLjcDksGAAHzAMYEIIIeT4kS9Wukbch73JF6u1WRhWhfk3nu3c7B62yHOsP1tynPnbz67AqvnR9Lf/4M/ZDORQYAAfMAxgQggh5PjxfDEErWtUSc3Wir2qCPMgDDfbti7efmBZ2IrUnyo5zhyXzb+6f/kfvuRGYHLwMIAPGAYwIYQQcvy4N+WD6BWV1Gy5Sq82CcMgDCvW0lc8077Bzb8nhuOy+VeXG4HJocAAPmAYwIQQQsjxY2jSe4Dpq8RqkzAMwrDi6+5t+PXg1tiCr/48yTHn9/74R7BefsQ9fbW7/tAJOSgYwAcMA5gQQgg5fgxMaAGs1GZrVWK1SRhWhflmle7VPd2+3jNsiacK9edJjjOLq5aWr9Z/bP/8Lz/jXtDkgGEAHzAMYEIIIeSYUa5Ue1+4leBslUqsojAPwnCzSvGCV/s2H00768+THHOO/tmPVHk+JHLwMIAPGAYwIYQQcswwu1Pnu01KeX64Sq82CcMgDCsqrdvk67HuYas3lK4/T3LMOXb7P+v2PRivPwFCDgQG8AHDACaEEEKOGWv2hNKfH6IhU3cQhlVhvlkIXbB5+HzXZv+otf4kyTHnOO7/rMtjQZMDhgF8wDCACSGEkOOErJkPzwWUCn0Pm+JTEYZVYb5ZCF0Qhl97+6F5xRqtP09yzLnZ/viYBjD3giYHDAP4gGEAE0IIIceGeLo4NOk93QEt+k5idirCPAjDzULoqsK8wdMdPPvRieLMtZ5jGsAiA5gcJAzgA4YBTAghhBwPosnio5d+pUj3LzZnszAMwrAihC4Iw2Bt5mrfxsisu/5UyfHnr/7jV7BGfoyMJVL1p0HIx4cBfMAwgAkhhJDjweh88EzHlpKmb1UJziZhWBXmmzVWrioMqxqGu4YtPPzVSeKHf/UTWCM/Ri6smOtPg5CPDwP4gGEAE0IIIceASnW7b8yj1OkeKrXZJAyrwnyzhnDdQRhWhfm29fOd630jVnmO9WdLjj/H9BDQuiMTi/WnQcjHhwF8wDCACSGEkGNAKlu+ed+mZKqqUpsozIMw3KwSrijMgzBs8Lt7piVzpP5UyYngWAfwt22P6k+DkI8PA/iAYQATQgghx4B8sdL7wq30qlElOJuEYRCGFZVkbRKGQRhWPN2x3vPMksoU60+VnAh+5w9/CGvkx8jTV7vrT4OQjw8D+IBhABNCCCHHgEy+fH3QqoSrqARnkzCsCvPNKrHaJAyrwjzYXvdy78bTl6768yQnhT/6wd/AGvkxkluAyUHCAD5gGMCEEELIUada3Z5cCb9DuDZN7ijMNwulCsKwKsyDr7u3YedTiyvAg+6eNI51APc9GK8/DUI+PgzgA4YBTAghhBx1SuXq94/sbw9XTWPlqsJws1CqqjAPwjCodK/u2c71nmEzD3918vjTv/g7WCM/RjIeyEHCAD5gGMCEEELIUUcCuO2ZA4OzSQhdEIYVIVZBGAZhWFWJXqM3BjcXtsL150lOEH/72RVYIz9GMh7IQcIAPmAYwIQQQshRp1yptu8cwBC6qjDfLJQqCMOqMA8qrdvk67HeYUs8Vag/T3KCOL4B/N/8q3+3vc1dEsjBwQA+YBjAhBBCyFFH2wL81BjAULmqjcmdbDTqbsI8CMMghK6qYfhSz8ajKUf9SZKTxc32xy1fpz8Y/7v/6X9lAJODhAF8wDCACSGEkKNOJle+cc9a608IXbC5VEFDee4szIMwDELlqsJ8zfYnZqs7Xn+S5GTxMdbpD8b/9F8vM4DJQcIAPmAYwIQQQshRxxvOXR+0KLnbUIlVUCnPJmEYhGFVCF0Qhg2ead/oeWbi4a9OML/3xz+ClfJjIQ8BTQ4YBvABwwAmhBBCjjpPZvxK9OoqvWpUac4mYVgV5kEIXRCGFU+3r1/rWx9f8NSfITmJHMePAf/2H/x5LMGTcpEDhQF8wDCACSGEkKPO41cQwEqsGlVqE4V5EIZBCF1VmG9Wurdh9zMzT/97sllctRy7vaD//C8/4/7P5IBhAB8wDGBCCCHkqPM6gJVYNarUJgrzIAyDULmqMN+ssXt1z3Zs9Axz/+eTz+/84Q9hvfyIy/2fycHDAD5gGMCEEELIkUYqsRbASrI2VIKzSRgGYVgVQheE4WYheo1e69uYXPTWnyE5uRyvvaB/+w/+nNlADh4G8AHDACaEEEKONMFY/tYjG4arqARnkzCsCvMghC4Iw4qQu+CptrWuZyZ/JFN/huTk8jHW7D+en315i/s/k4OHAXzAMIAJIYSQI82WK/UO4Soah1VhGDRW7o7CfLMQuqB0r+7ZjjXu//zpIFUJq+ZHUx7+ihwWDOADhgFMCCGEHGmK5WrvCxek5g5C6IIwrGqsXFUYbhZCV7WRvrpf92+8XPXVnx456cjK/bE4HxI3/5LDggF8wDCACSGEkKPO8KwfmvONELogDKsaK1cVhpuFylWF7m3Y/ZT7P39aHP2NwP/Nv/p33PxLDgsG8AHDACaEEEKONFuu5NV+E8Qnhq4qzIPGylWFYUUIXRByFzzXsdbH/Z8/MY7+RuDTV7vrj5WQA4cBfMAwgAkhhJAjzYMpb1N/QuiCxklVY+XuKMw3C6ELQuju5o3B9Zk1rpl9coxMLLZ8Fb9V/uV/+JKbf8khwgA+YBjAhBBCyJHm0ctaAEPogs2luoPGylWF4WYhdFUhcfe2+5kpFMvWnxv5lDiap0T67/6n/zUaT9YfIiGHAQP4gGEAE0IIIUeax698mLsNlVhFjZWrCsPNQuWqQtnuR33/5/oTI58Y29vbf/oXfwer6Yfrb//Bn88v8w1JDhkG8AHDACaEEEKONI9f+bF7RaVXmzRWrioMK0LogtC07+SNwfXZ9UD9iZFPj1gi9Uc/+BtYUz8spX5774/VHxkhhwcD+IBhABNCCCFHmsEJT2u6V4T5ZiF0QUjZ97Pn2VY0kas/MfJJcnQamAe+IkcEBvABwwAmhBBCji6eUPb6oAVKdQeNlasKw81C6KpCxL635zvXB0a5uyk5/Ab+7T/48xt3H9YfDXkvpNn6H06cudbzt59d+eFf/eRP/+Lv5Hf6O3/4w9/74x/JZbnlr/7jV599eetm++PFVUv9PmQXGMAHDAOYEEIIObrMb0WhV5s0Vq4qDDcLlasK+frh3hhcX9gM1p8Y+bSRBj6szwNzz+cPQWpWoldvXWm2t2abPiPD0smjk0v1pZBmGMAHDAOYEEIIObosW2IQrprGylWFYUUIXRCqtYV2P93i8Z9Jg+3t7YM/LvT/+G/+d5vDV38EZN9IoX325S3p3v1E727q9/3hX/2EbQYwgA8YBjAhhBBydJnbNGwBNlbujjYmdxJCF4RYbbWrZ9pXe55tVqrb9SdGSK2Bv2179N/8q38H6+4fyf/0Xy/zfL/vip6+v/OHP4QX80NkBgMM4AOGAUwIIYQcXV6tR7R8NVauanPoghC6qkqsttZV3cvdqyOvHPVnRYiBA9sU3PdgvP4jyT6QKut/OPHf/g//M7yMrVKS76/+41cOFw8LzwA+aBjAhBBCyNFl0RzD3G2otC4IoQsqpdpa693b8M7DTZMzWn9WhDQjDbywYv7L//AlrMS3Vlm+/KD6jyR7srhq+e//9f/W8ipTlR/x2Ze3PvHfCwP4gGEAHyfsdvtIjV/84hc3btzQL8fj8fq3CSGEnCzSufLdp/Zj3b0Ne59tZnOl+hMjZCc+dgb/9h/8OQN4P5y51tPafZ7f6p/+xd99yr8aBvABwwA+6kjfnjp16k/+5E9+67d+65/twu///u//9V//tSRxPp+v340QQsjxxxXMnOnY2Gf6QuiCSqm2Vsxd8Hzn2uDzrfqzImRPJISEvgfjH6OEv217VP8xZCekxP72sysHsOFX9Y9+8DefbLMxgA8YBvDRxe/3/+hHP/rn//yf1zN3H/zu7/7u3//938sd64sghBBynHEFMue6NiB0QQhdVSVWWyu2brP1sa8H1mbWvPVnRcj+aJTw6avd/+m/Xv4f/83//uGHy+Je0HsgGfZv/pefwit2kP7OH/7w0/ycNgP4gGEAH1Fu3LixxybfvZE7yt3rCyKEEHJscQWz5zp3DWAIXbARnx9HCF0Qhte6nm56gzz6Lnl/9BhuICv37xcM3At6Nw69fnXl1/oJNjAD+IBhAB9FfvSjH9Vb9gOYmpqqL44QQsjxxOJJne/aPD7dK8K85un2tZ6nGzwBEmktf/oXfwdr/PuUe0GrHJH61f2dP/zhwoq5/sg+DRjABwwD+MjRkvoVfvGLX9SXSAgh5HhiDGAIXRCas9VC5arCfJOXelafTtvqT4mQFnGz/fH7NcOf/+Vn3AgMHMxpqPavNPAndcZmBvABwwA+WvT29tb7VeG3fuu3/uzP/uzHP/7x3bt39eM/y+W///u//5M/+ZP6RDPy3fpCCSGEHE/M7tS5zg1oXRBqs9VC6IIwDNbHbt/f2LSH60+JkBbx3s3w23/w559UXL2VM9d6Wl5fH+4f/eBvPp3/TsEAPmAYwEeIfD7/L/7Fv6j3azN//dd/vcehreRbv/jFL+C+DGBCCDnWhOOFb+9ZIHcbKrXZWhuJu6MwrNo03zO8GU/xJAWk9fzwr34CK/37lHtBN1hctRzwGY/2r/x+P5EGZgAfMAzgI8SlS5fq8drMyMhIfeJt9Pb2NjL41KlT9VsJIYQcQ1ascYheUUnN1toUrjsJ8yAMa57rWB0Y2aw/JUJaCveC/nD+P/+/v4cX50j5iRwQiwF8wDCAjxA/+MEP9HY18h4bcu/evfujH/2IJ0MihJDjS7my3T3qPL7d2/Ba79rLZU/9WRHSUj4kG7gXtHA0d342+nt//KNP4T9VMIAPGAbwUSEej6un/P0X/+Jf5PPcbYwQQj45nIHMpZ6tw05fGAZhGD1ds/PJhsufqD8rQlrNX/3Hr2C9f5+evtpdX8SnisMVOLI7Pxv9FPZXZwAfMAzgo8LCwkK9eg382Z/9Wf3bhBBCji3b25r7p1zZ7nhmV4KzhWKsNgvDqjDfpN69DbufrJbKlfoTI6TVcC/o9+azL2/Ba3I0lUo/8b8pBvABwwA+Kux4/GceyIoQQo4v0rGFUiWdK2dq1m/dB4l08cY9s5KdHy7GqiLMgzDcJHSv7oXO1QdjpvqzIuQj8CHl8CkXgrxux2Lzr660+sluYAbwAcMAPircuHGjXr0GLl26VP82IYSQY0WhWFm2xD2h7Lo9YXIlveFsOleqf+9tpLOltic2pT/fW4xVRZgHYRiF6DV6vXd1fsNXf1aEfBy4F/R7cPQ//Wv0xJ+5igF8wDCAjwo7BvDf//3f17/dIux2+y9+8Ysfv+bBgwf1b7wvssBTp07VF/fjH29sbNS/sTt+v1+e7F//9V//yZ/8ye/+7u/Wn+o/+2f/8l/+yx/84Afy8Kampuqj+6O3t7f+43/8492OmK2fKUp+ovwU+Vnyc+Xyv/23/1Zu3P/RwmRSP/Hy7//+78tCfuu3fksuy2O+dOnSRzrkmPyC/v2///fyU4TG8b3lgn6LfEsGPvBT4vt59eRHyK9Mnqn8UP2T6vpjkBfw7t27/Jg6ITuSL1ZWrXGnP2PxpMzulMOfXjLHkpl9NXAiXfy2NVuAMVabhWEQhlFoXVCf6Xi04f3/t/cmwa0cZ77vW3qpjfudZS/cNxzut9Ci+8bpu/Ki/ay7U4Rsv7Ozb0gvQmHfhWx3tLWz5bfQSpZsWTo680xwBDjP8zzP8zzPJIh5Rr+vKpM4hS8LIEiCIED+f/EPuFD1oZAF8sj4MbMy9xzyqgC4Gspquy4mD//y01/f2lHQ//reb9inkeW52XcCQ4AzDAQ4WyCTEXpjhGxNHk4HpvNskUTJw+eH7Fc94cjIiDysQPW/+tWv1JeokF+RmlKD5SsTo64dxfyZnJw8TR5LALWK2iZfYEaKJ0mlwalAl0BvR4ItT30W77///nn/aiA489OjK6LfkOQtoR/op59+Cg0GwEgkGj12Bjb3PVsHnqVN596xz+MLza87dg69siIpVFzavqYYaep5q6lmYcVqWH1cmOiysGJb04wn5X5vAC4GRkGflwv/yeAac7Pv2YYAZxgIcLZA4iF9Ip4kPnleSFFU+aQ9F9Y20h55FgOJGkyulYr6Grlz586ZXcp//OMfZfUpxm7MZ8+epfimVJaoP5xUPMWTkCheslN9Z2fnTNNOBGlwco1XSf7p0bUYu+iTQ5Vp/F0F4AZw4gosbDjHFo9nVk/Wdtz+YHhjz0NKTG4sKxLj9oWsrRcQYO6fSlg9CyuOCxNdNayeghWAQcbAKOhzkSvTXxnz/R99AAE+VyDASYAAZxGm/Wz/+I//eF6rSQI5kjyvAbJEeficxAblxiALksfiUUUrRc7soE6kcGT7phebHPZRkI7++Mc/lsdSg1Q50UDiM7HZbOf9GwGDfoXO9e5JPr1f/epXclfK0LvDgQEwQsY7v+4gDR6aPZxYOt498oYj0WAoIg8nRusBbktdgLl5KmH1LKyYh4kuCys25oF1smd0Q14SAFfJhbs0f3D3l7dwFPRPfvEH9jnkRFq6RuUF3DggwBkGApxFJFKONDqw6VzT5Hjy8Hkw7bI2vWmZnEoePj9nts1U4cjf3nvvPfn8nMQUjj5z1fBTgTzwArcEk3vL118OUmiLxSJPehZp//Qudu0A3FTIdV2e4N6xj9R3c99D9isPnMXhif9h2Zxiqmq4c8aHFbOwYh4muiys2CSWibya6fnVA3lJAFwl5A8XntP4tnnCVbhWZvL7P313U/9aAQHOMBDgLIKUMlEHIJlYWvrWyG1MB7VeQFpSHP9MZzZ9x3fffZc8jXRLDMCemZmhbTHTkqzQuYAA19TUmPobuRmd7eOPPxbzYCXi7t27dNpE9kvXQif/1a9+JebBSgS1SjQvRT7//HP5SjOowXRCI3QhyfuKU7wlmE4lX3BKok+PoE+GLpyOmv5AY2DxagAY/gCZ7/m+tJEtK75qjGKbcWHFalh9XJjosrBik1gmYrE2TtudmB0AZAiMgk6RXLwBWOQGj4KGAGcYCHB2oQqJkU8++eTy0yzRSeTpDJCAycMpo/qh6ZRdpne02mw2edgMks9YI8m45N4EqJ+YqmfUVNYp6tOnNU7kkF9++aXp1bH7e+lnQZXycDzUBnoLWXcWIyMjiVry6aefJur8p/PTRSXycNqfSgNS+fTeeecdKmO/eDv6hNiyQgEDoQG4JMfOwH3r7LnEVQ+rZ2HFcWGiq4bV8xi8V+SrfBLgKXk9AFw9F/a6m31zqUou3gAsAgE+VyDASYAAZxckLcn7J8lPLrk4MMmJPJcBU3dNgumoZlOLVoWKbEoeSwqJ38cff3ymSiX/kwFBCp1IBUlok/ejxjAd2i1INHQ5xR9Top84GXgqvbj08kQj58+8fZo489N7//33k/zNRZ1EWkA/OFkBALgQ/kA4fhIsRTjjEiszDSvmYaLLwop5FO+N5dviiea+ZXk9AGSEf/q3XzEHSDG3ShV+9tGf2eXnUG7qasAQ4AwDAc46kvQHxiCr/PLLLy/cG2xqXKks4RuDDEe+zIA6jppaKI8ZSKVnMnWSK9yZsm2xWGRpYtjMWCqmA5hT/JuC6WvfeeedRB2/ppj+OOi36MyR7ck/vVQUOlH70/tTBuC2Mbt28k3JDLdNHia6LKyYh4kuCys2iWK8ccmfeFExNbW4J68HgIzwH589YA6QYm7VKOicFuCRiQV5GTcLCHCGgQBnIy0tLaQQUiYSQzWkKBe4fdd04G6STk4VtV/X9GbdGmVx4/N2NZ9JEoU7034Fpvf6xjjTfgnyfNO/WZwpsWSJ6idJpHgHb4xE3chnjmy//KdHb236u3reSwAAGClpXeXC+TZMdNWw+rgw0WVhxSZhosuS/zbFjTP7x255PQBkhNbuMYyCPpN/fe837PJzKDd1ImgIcIaBAGcp5E53796VMpEUUi9ylXP1BpMzq8JGHigPn4Xp+GdTUVSHyIopptJIIoVLpfdSkOg+XoIOyaKzMB2HfKYEmvY/n3nbsymmpyK7Tt4Te/lPj6Bi+TIDlxyoD8Atp3lom5unFia6LKw4Lkx01bB6Hia6LAbvjaWkYSr1Wa8BSBcYBX0mF/6IsiHP8+vkZdwsIMAZBgKcvZC6mA5tNeUdfaai5LZjxHSNXDJbeTgpaqtIp03fmgxQVpyS9sGxpgp37949eTgFdnZ25MviOVeXuNrXTSSf64sw/RvHBbr0CfpUTXtik/9ML//pETMzM/KVBs6l0AAARnHLisE/meiyxMrMw0SXhRXzMNFVo3ivyN+LJmo65uTFAJBBLjwK+gYvscPIaQG+qYPVIcAZBgKc7YyMjPz4xz+WVnEW7777boq38pouCJzK3EUkWuqo3UTKZHoP8Jnjcs+FqnBndnuqqP3h5x2qvbKyIl9pIHkvqOmHc+ayT0kw7YlN3omdlk+PUD/Ai/VjAwAIjy/0unZREV0WRVbjw0SXhRWbhIkui2K8cbFMPLKND09tyesBIIOMTi5iFHRyLrxgcjYEPcCpBwKcBAhwbtDS0pKiBr/zzjtsyR9TTD02le5Z065Otj6QEdN1etLowKrCpT6WO4Z6G/B5RdTUZqlt8rAZpiPJUx90rWI6v3fyVXnT8ukR6k/5vN3IAIAYXn/YUr+sGG8siqwawkSXhRWbhIkuCxNdNaeVhXVTW3sOeT0AZBaMgk5OTt8DXFrTKS/jZgEBzjAQ4FwidQ1OZfiu6fjqM0ftqje7Ju8zTDSKm/ZfbKwvIy0Kpw5FvkBP7Hl7QU3nT07yp4RUUEdBJ/800iXA6q/lBT5AAAARCmt9UPPrjq8K0ua9FFbPE1Nc0zDLVcPqLRO2ximPNyCuCIAMc+FR0B/+9ovb0An8k1/8gV14DgWzQKceCHASIMC5R09Pj+kdvIwz+4HVG3SJ5B13JLqqYiW/29Nut6tdzQIyRlLEc633o5IWhUuLv9H7yhefklyATX+I51qMSkVtAyGPmQEBBiCriESjdlcgEIwcOwN/K5w+03spTHRZWDGPIq48THRZWPFpvsqfsDZMyksCIOOsru9iFHQSPvrdX9iF51BuqtRBgDMMBDhXIX1VrcMIaeeZXazqyFWS0iQTSpuOfz5zrmPTsb5G3nvvvVSGbZuSuwJs+uO7wP23Rs57TggwANlDKBx1+0IeX4g2JpaOvypQfNUQJrosrNgkirXGhYkuCytW8m3RREP3zeylAbnChUdB39RVdoxcuIc8G3JT/0IBAc4wEODcxmazmXb6CUgsZV0CTEfhJln59t69e7LoFFJoeSwpX375pTpCmEHGTu1Jot+m5K4Aq399oE9AHrso6g+ISNLHDgEGIHvw+sNHDn8oHKGN/IZlrqx6mOiysGKTKLIaFya6alh9fL7Kl3lkHR+exgxY4DrBKOgkvCioT7trZSY/uPtLCHDqgQAnAQKc8/h8PhJdqR0Kye/pNV0BKJG60BupEksGJQ+fRU9Pj+mEWAx6i08++SR1Dc5dAVZHhl9+kWTTO64hwADkBOFI1OUNOtzB1uGdr4viBj8z0VVjLDaJIqtxYZarhtXHJ+a9seTVTC2tH8qrAuA6uLBO3IZR0FfhWpnJBx9+BgFOPRDgJECAbwKkpqYryhLJJwEmTOXZdOy0xWKRhw2c6w5e0lqSW9PlahkkhylOB5W7AiyLDFxeGtVPg4AAA5ATRKJRcuD+6QN9+ivprkx0WWJl5lFklYeJLgsrjg+TXmNKGieP7B55VQBcExceBX1T5xk2kqNLAd/gHw0EOMNAgG8I5Jam/avf+973kt9Waqq1pssUqcNrLyY51FQ6v9r/qZLKusS5K8Bqd/p5Fx9WoXeU5zIAAQbgWvAFwkOzh1sHKakg2a/XH/b4Qt0Te+SuTHRZ4izXNIqvxoWJLgsrVsJ0l+VLy3hJ/TiZvLwwAK4JjIJOQo7eBnyDjQ4CnGEgwDcHm80m5SOekZERWWEG6bHaJauamOn45/v378vDF4Lc2/SeVSNnroubuwKs1tMPQh67KOqFEPKYGRBgAK6OqRX7g9K5xU2nfJ4A+qrtD4adnqDDHSABnl6x/7WAG68It1w1iqzGxWi5pmH18WGiy0LeK/K3/PHK1ml5bQBcHxgFnYSy2q6cGwX97z//zxv8c4EAZxgI8I3CtFu1paVFHk6A6Y2jbD0etaOYfPi8E1aZsrOz88knn6h2LaD9yVcGyl0BNu2xT95dfyam55THzIAAA3B1TC7bH5bNLW+55PME0De6SCTq9obsrgCZ8MjcoSrAXHRZFFmNi1FxTcPq48NEV01MfUW+KxlrHViW1wbAtXLhgb7P8+vkKW4oF14p6hrz2RevIMDnCgQ4CRDgG4XqIUSSWZ0FpgsCf/rpp/Kwjnqr8Jl3F58L0mBTDyeSTw2VuwJs+sM61z3VKucdVg0BBuDqmFqxPyqbW905Q4AFJMBOT3Bl2/Wscj493ksxWq4aVhwfZrlqmPfG8qxsfGpxV14VANcKKRNTghRzs0dBt3aP/bf/8b/YJWd/brbOQYAzDAT4RmE6ojiV2aTUnkOjCNntdtWsLrxybxJMl2UikvSL5q4Amwp/ilN/mUI/JnkWA8nbAAEG4OpoHtr+a+HUwoZDPjcjHI4GQxFt/mdP0OsP9U3tn+29FMVX42K0XDWsWAkTXRamu2oKaye39k7k5QFwrWAUNIM+kP/47ME//PPP2PVmf27w/M8CCHCGgQDfKExHwPb09MjDiTE1z9jY6WfPnsldp7zzzjuXHKybiE8//VS+h4EktzHnrgCrnyqRyrxfiTCdzyx5/z8EGIArgr6rlbavkay+rFk4OEn2X0u3N3TsDDjcQfp2NzJ/FCe6LIqsxsVouaZh9fFhosvCLDdJShsnnW6/vDYArhuMgo5BivXz//f/Y5eZE/n+jz4YmViQl3FDgQBnGAjwzcG0A5BIZVSt6YLAMRlTxz9fxtOSYzoeO8lsW7krwGT1ss7A986atTsJpv3/yX/6EGAAroj5dcfXRdNCXDf3E04E7fIE7S7Nfv3BcDgS7RrXpoDmUWQ1LkbFNQ2rjw8TXTXMb5Pnq/xxa8O4vDYAsoC/PrJezCtuWJdjjg57Fvn9n7672d2/BAQ4w0CAbw41NTVSPgzcuXNHHj4L1XJFNy+5sTr++cyJtS6DOis1eZo8ppC7AkyYTlp25j3bppj+mJLfPk1AgAG4IiaX7eSu4lbelW2T24DD4ajHFyLvFeobCkci0XgBVmSVx2i5alhxfJjlqmFmm2L+XjRW0zkrrxCALODCXvH9H31wfHLGFO45AX0COTrsWYR+ELdB5CDAGQYCnBWQZ5JSXnJQsSohROpdtaYDaG022/379+WTUy7mSKmjCnCSxZByWoA/+eQTWWrgTGs1xbT790yXhgADcBWQzVZ3bwj7NQowiW4wFHG4tdt9nZ6g3Rlwaasfad2/ontjZO7wsl2+rFgJE10WJrTnzcOSsYHJDf1aAcgWbvMoaNKqHB32HMtt6P4lIMAZBgKcFQjJJPEjIbmYBqsmI0i9q5beVzVP0irVbdgE0ellZmZGvo2BJBNu5bQAr6ysyNJ4ztsJbNr5LzrwZUUCIMAAXAXLW86/F03HBFhMBE3f4Q5OfPt2ny8Q3jrweHyhE1dg79hLAqz3AGvf8IZmD5mvvo3Rck3D6uPDRJeFeeyF86ZqYn51X/8MAMgWXhTU385R0Dk97FnkX37665vRD38mEOAMAwHOCsiUpDfog5bJh8+lwaadt8R5JUSdl1gdVUskX5g3Bl0CNYAu7VxL+5ia/M5Own/DOS3AhDrynKCPPfXpoKnS9Mf0+eefy4rEQIABuApG54++LpyKCfDs2smRw0+uu7bjIgEm9d3c99Aekl6HO0Aa7PaFAqEIvdBEgI2KaxpWHx8mumqYwV4yJfVTR/aENzwDcC1cRi1y1L7oknN62LPI93/0wfD4vLykmw4EOMNAgLMCowAL3nnnHdLRM1WzpaXl3Xffla+Jh6QoyeTJpphOQMVIfYCu8WyffPJJEomNYWryyVUq1wWYfsSm+kp8+umnZ/4dhCzX9OUpth8CDMBVQKJ7v2RG3Mpb2LRMurtz6N068GwfenaOvKS+tL2y7QxHoqS+dleA4guE6YXTK/a3+mq0XDWxMrMwy1XDxDVdsTZMBEPahQCQVfzkF39gbpBivnpYIk+RO5BK5fqwZxFbdYe8pFsABDjDQICzArXrNQb57XvvvUeicv/+fdJdAWkPKWUi9RVcbKCy6UJKRpLcjsugdsrXnHLv3r1EHZvkgepfAQR0HllkRq4LMEEfqXyBAp2Tfo5qFzp9XHThiX5YpMQp9rpDgAG4CshvvymWU0C3DMuvIA53YPfIS8Z7eOJ3eYIbe+6IPveV2xvy+EI+vzYbltYDbLRcNYrrsjDRZWG+mt58lT9qbRgTFwtAVnF7RkG3do/9n//Xz9lV5GI+++LVbbj1NwYEOMNAgLMCdaKpS5KieqmYLghsJJWOXIEqwDHIskiQSPupnbRx9+5deUDhzHG8N0CACdOB0AzSWmqVep82gwpSHz4NAQbgKtg+9MYEuHlwW+y0OwMr267Z1ZOVbefesXdx00H2S95LX/J8gTDpMT0d1ibBUqRXRHFdY5josjBTTXfGRP5eOFrdNi0uFoCs4jJ2kSsWQdd4A4Y9i3z42y9ulf0SEOAMAwHOCnw+n6pPF+bC9kuQ38qzmEGeJutSIPmpUuH999+X50rMzRBggorlyy4B2e+5xr1DgAG4CtZ2XN+UxAR4S+z0B8Kb++6FDcfSpnN1x+X1ax2/FLdXmw2LNuj73uDMQRq9l6LIanoj1VfkfvFo68CiuFgAso2fffRnpgcpJidGQZM+3Yxhz5Tf/+m7WzLxlREIcIaBAGcLdrv98gpE/nOxVWSNJOmNTDIbsymXuaK7d+/SZyJPlJgbI8CEei3ngtqc4vxkMSDAAFwF3RN7unxqiQkwoY951pb/pZAPk/c6PUF6pPgCWlfw2yHQ8aLLYlRc0yimmt7EeW8sj6yjIzOb8lIByDIuPAr6X3766yzvjbwxw56//6MPvnpYctv6fgUQ4AwDAc4uxK2wiWZFSgK9hF6Y+vjkJCSaU5re4lxzUwtIyFUzTM67775rs9nk68/iJgkwQb8A77//vnx9ytBbp/6JGYEAA5B2jp3+x2WzMVk1CjB9ryMHFtvBUETYr8OtTYLl1cdCa0OgDaKrhokui2Kq6Q03XpZXlVgDCWQvlxGMrBUJuqgbM+yZ7PdWzXrFgABnGAhwNkIeS95I+nTnzh3pEwkQ94Xev38/lc7S1Ll37558AwMX0LkYpGd0zjMv51zqK2hpaTGaJ30gF5j9i5zf2LZ33nkn9bm+YpBMGv9yQSc8b4d5jJGRkU8++eTMCcnoLeiHcjH1FaTl0yPoSo03J1/sAwTgZrCw7jAqa+PAVvhUeo2Q7pL0kv1SfIEwyTCVjSQQYCa6LIqppjdcdFm+soyLFNdN7B445OUBkH189Lu/MENIMdk5Cnp1ffeKhj2LnlhK2pUsUf7lp79eXpXTJdxOIMAZBgKc7ZALkaWQD5NfGSHpPe8qR6ljOi9x6lMrJWFmZobOI69BR8xufa61gm8P9LHQhyM/KQO0s6enRxYBALKJhQ2DAOdPtA5vx3p9VRzuoEdfBNjtC5EAj84fvX1ttg51Fol5byy2hgmn+9yjhADIGBceBf2Du7/MtnG5VzfsmVw0tvruyMTCBx9+xgquIjk323bagQBnGAgwMEHte7xz5448BgAAIDHz6ydCfUU6xnblAQX6vkcCfOIKuLzBQDBCBtw1vptz3huLrWEsHInIawMg+7gZo6DFsOcr6ptVJ6AiL/3qYckP7v6SVaY33//RBxBgCHAmgQADTovZ8kUXGxkLAAC3jbVd133rdEyAW4eTjesLR6IUnf/aPvQ8LJ1hrmuMYqrpDXddFqa7PPmjZY1YBBhkO7k+CvpKhz0/s9QmslDaX1rT+e8//0/2qjTmeX6dfLNbCQQ4w0CAAcf0BuCrG24NAAA3iUgk2jayExPgJD3AjIMT3/2SaSa9FMVU0xsuuixcdOMTK/t74WhtBxYBBtnOhUdBZ0MXZWaGPSeBPoGRiYUPf/sFfRrsDJfPLVz71wgEOMNAgEEcOzs7xpmcBD/84Q/lYQAAAGfRNLAlBVifBEvuPYsjh/+BLU6AFVlNb95arhomuiysmPJd8Wjn4JK8EgCylRwdBZ3hYc/JIU0l6NP46mHJBx9+lq7R0bd8FDQEOMNAgEEcptNfff755/IwAACAs6jr3RCzWFGaB1Od2nRz3/1N8VQ2ey+F1cfyyDo6Ppeq6gNwjeTcKOjRycWfffRn1pi0JPmw51TQXViDFJp0q7Smk/JP//Yr9kYpZmRiQZ739gEBzjAQYBCH6dI7aVleGAAAbgmj84d/K5gUAtw7uSf3nsXChuNvBVdnv1xZWZjosrBilq8sY68rx5bWD+SVAJDFlNV2Xcw0rqWL8kqHPV/RykOfffGKvVeK+f2fvsv8J5wlQIAzDAQYvMV0+qsf//jH8jAAAIAUGJk7/OupANO23HsWM6v2rwvTLsBcVlmY6LKwYhby3liwCDDIFcg0/uGff8ZUIcVk0iiyatjzubiwy93mUdAQ4AwDAQZvMZ3+6tmzZ/IwAACAswiGIhUda6S+X+VP2NpWfIGwPHAW6RZg7qvGMNFlYcVqjOorYmsYwyLAIFe48CjojHVRZvOw51S48CjoW+tsEOAMAwEGEtPpr2iPz4fvNAAAkCqr2y5xKy+lb2pf7k2BNAkwl1VjmOiqYfUsTHqNsTWMYhFgkCtk+SjoXBz2zPiPzx6wt04xWbLcVOaBAGcYCDCQmE5/de/ePXkYAABACsyvO4T9UlK/ATgUjsysXEaAuayyMNFlYcUszHVNoi0CPCqvBIBcIDtHQefusGfG6vpuNv+JIQuBAGcYCDCQmE5/VVNTIw8DAABIgYWNtwKc37BIZisPJMUfDG/uu+9bpxSzTR4uqyxMdFlYsRouuvGJlX1dMFbdNimvBIBc4MJdlFe3XO3o5OL//f98yt4uLcnMsGcGRkGfCwhwhoEAA42ZmRmpvAbu3LkjDwMAAEiNpU2nsF8S1K/yx6dX7PLAWRw5/OcR4Lf+qYaJLgsrVsNEl4UVU74tHG3omJGXAUAukG2joK9u2PO///w/MzPsmYFR0OcCApxhIMBAw+fz3b17V4qvznvvvdfS0iIPAwAASI2NPbfRVDtGU/0KsrrjSmEZJC6fxjDRVcPqWZjosrBiY74rGu0aXJKXAUCOcOEuypaudA74vzHDnhkX/hMDGfstHAUNAc4wEGAAAAAgbSxsOIzK2jSwKQ8YMP12t76bRIC5c7Iw0WVhxSxMdNWwep680YclIwPjq/IyAMgRLtxF+a/v/eazL15RXhTUk+a1do/JM56fGzbsmZETy01lCRDgDAMBBgAAANLG4iYT4C15wIDPH/YH+fJIw7MHf9UHThui2GZ8mOiysGI1THRZWDFP3mgsT6zD0wsmlwlANkPieknloJfH8rOP/kxGfS4ZvnnDnhkXXm7qFo6ChgBnGAgwAAAAkDZYD3DPxK48YCAUjrDJseyuwHfWacMLFeE0hIkuCytWw0SXhRXzGLw3ltcVo0tr51jwCYAs4cKjoBNFyDCZ8OjkonwPM27qsGfGhUdBf/DhZ7dtFDQEOMNAgAEAAID0EAxFqrrWDB47PjBtYob+QDgS//XO6Qm+qJrjthkfJrpqWD0LE10WVmwSxXtjsVSNrW4eyisBIHe48CjoM0My86/v/eZFQb18JwPkxv/9f/5vVp+WfP9HH9iqO7JHHS8sdXQhWeLwGQMCnGEgwAAAAEB68PhCzypmjQLcP2UiwKFwhAxYPtGhr6w13WTOinbqYaLLwopZmOiqYfU8iu4a85VFS0nd2P7R7fq2Cm4G5KJptw5jhAaPTCzI99M7RW/2sGfGhUdBP8+vk6e4HUCAMwwEGAAAAEgPJMAvq+eNAtw3tSePGfAFwg53IBSOc+CdQ8+3xZNG+WSiy2KsNA0TXRZWzKO4LotQXxFb/Zjd4ZGXAUDuQNZx4YmaUg+JDXkgyfZtGPbMeFFQf7FLvrr1lrMTCHCGgQADAAAA6eHI4X9Y+vZW3r8VTMysmqwDHI5EA8FwMBSJRKK0TY+0kyr/VqBpLRNdljhNNQsTXRZWbBLFdY0xem8s1rphj9cvLg2AXIGM9L/9j//FnOHqckXqm23DnhmXGQUNAb5kIMBJgAADAAAA6eHA7hNzWT2vnPsqf/zrwonxxSN57BT6Vuf0BAMhbRIsf1DrCiYZDoUjlroF5ros3FTjw0SXhRWbRHFdY5jxsljrhsKRuDm9AMhyrm4G5kwmO4c9M37yiz+wZqeY0ppOeYpbAAQ4w0CAAQAAgPSwc+i5XzJFAvx14aToBG7sf7sOsBjz7A+E7U6/WAaJNNjtDUai0dVtJ9PdWLipxoeJrhpWz6O4rjFMdNWIMmvtoH59AOQGf31kzcDI56tO1g57ZmAUdCpAgDMMBBgAAABIDw53QJ/MWVNfYZjd42+XQSLdFZ29Lm+QvJf2hCNRX0Db0zK0dS7vpTDRZWHFPPGiq4aJLoux8uv8kfLGUXGBAGQ5pBn/7++/TLtpZDhZPuyZgVHQqQABzjAQYAAAACBtzK+ffGediqmmcRmkSDQa1Ec+h8NRsQwSCTCFtPmhbToT3ksxuKsaJrosrFjk7wUjte2T+vUBkO1c3bpHGUtODHtmXHi95dujcBDgDAMBBgAAANLJwvrJ47JpIZytw1tyr75KsNgQvRqkvto8WNGoPxhuH97+unDiraYqYaLLwopNooirMUx0WVgxy7eFIw0dU/plAZDV/PWRNdf7fj/74lUuLpBLzWYXkmJ+/6fvbkknMAQ4w0CAAQAAgDTTNbYjzLNp4O09wPRNzh8I6wOhNRP2+cPkwDraysB5dQtvffU0THTVsHoexVeNYaKrhtWziJpHJcM9w0viAgHIWlq7x3L6vt/cGvbMwCjoM4EAZxgIMAAAAJBm+ib3xJDm5oG3PcD0Tc7jC1G8/lAwpN0J7NdvCSYNnlo+Zj3ATHRZjJUmUWSVJaa4pmHFLKz4iXV4eHJNXiEAWcnq+m5Oz/mci8OeGRgFnRwIcIaBAAMAAADpZO/Ym1+/KAS4ZeitAEeiUdJdsl+3N+jza13BYr/DHYjdNsxEl+Wt4iaK4qvGMHdlYcVqWL3IM9vQ9MLbXm4AspD//j//N3ODXMn3f/TBVw9LcnHYM+PCd1/T5ctT3GggwBkGAgwAAACkk+7xXWG/lK6xt19BhADLJwZIgJ+UTTPXNYZbrhpFVo1hysrCitWwepantkEIMMhmLrwMz7VHDHuWl5HjjE4uYhR0EiDAGQYCDAAAAKSTjtGdmAA3D0o5pO9wib7FkQA/sE4x6RXhosuiyKoxzFTVsHoWVszyZd6IyIuyoel5CDDIUsgrLjz49npzA4Y9MzAKOgkQ4AwDAQYAAADSycTi0V8L5IJGfVN7YmcorK14JLYZPn+4vH0lXd5LYbLKwopZWLGamPqKWKqGVzcO5JUAkGVceP7ha8yNGfbMwCjoJECAMwwEGAAAAEgn24eeb4onhaz2nwqwETJej0+bB0s+p28/rsCzipm3ipsoiq8aw0yVhRWrYfUszHtjgQCDrIWkIudmfr5Jw54ZZbVdF3O8Dz787MaPgoYAZxgIMAAAAJBOljYd354KcKwHOIY/GCYBFvcDG7/VxVZOMokiq8YwU1XD6llYMQvTXTWWqhEIMMhOcq779+YNe2Zc+O8RN97lIMAZBgIMAAAApJO1XZcQ4Pslk8tbDrlXxx8Iu71B+SQeEuOanvVc8d5YJQQYZC05d/fv8Pi8bPoN5aPf/YVdcop5nl8nT3FDgQBnGAgwAAAAkE7GF4/ErbwPrFPz6yfGsXvhcDSSeCzf2MLhmd5LicmnaVgxCytWw0SXhRVTdAHelxcAQNZw4WmHrzE3XvMwCjoREOAMAwEGAAAA0snajutF1SwJ8F/zx9uG364DfCYD03vMV41h5snCitWwehYmuiys2JiS2uH9o7hebgCygVyc/gqalyg3fjEkCHCGgQADAAAAaUZfCljrBK7vXY+cTv5M39+M3+HY17m9I+/zihlmrRQmnGpYPQsrZmGiq4bVs1ABBBhkJ7m4+tFtWPMWo6BNgQBnGAgwAAAAkE7oK2zb8BbZ75eWsa8Lx9d2XbQzHIkGguFQOEIblGBI2xD1tJ8elzYdqYsrxVishhWzGBXXNKyexVgJAQZZSC6OfxZp6RqV13BDeVFQf7EfzYe//eIG/3UAApxhIMAAAABAmtncdz89XdZoeUtbz9MfDIuuYLc36PGFKHqHsD4tli9E+1e3nX/L124AZrbJYrRcNaxYjdFd1bBiFlYsAgEGWchfH1lzVIA/++IVxvqa5mZ3j0OAMwwEGAAAAEgzkWi0qGnpVIA1PyT79QXC4UiUjNfl0Rw4GIrQntg3usWNk68LxphzxsJEVw2rZ2HWysKK1bB6YyDAIAu58Djba89tWPP2J7/4A7vqFFNa0ylPceOAAGcYCDAAAACQfiaXjr7KH/+maGJr301Pvf6Q0xMMhbXlf0l96ZEiBj8L1nacpgLMRJeFFbMwWVXD6llYsZJhirV2wOP1y2sAIDv42Ud/ZjKQK/nB3V/eeAHGKGgVCHCGgQADAAAA6efY6f/KMlbYsEC6S0/d3qA/EKbE5sQS0Nc50mB67J/a+2v+WwFmossSKzONYqo8rJ6FFZtFU18IMMha/vW93zAZyJXchnmwMApaBQKcYSDAAAAAQPoJBCM13WsVHSsub5AcWCz/q357ox0kwIcnvmcV07p8JotRU02jmGpcWDELKzbLW++NBQIMspBcnAI6luMTbdaAm82Ff0A3VeogwBkGAgwAAABcCbtHnpG5gwO7LxTWOoFNETNCr247meuyMFllUUw1LqxYDatXwqXXGAgwyELS7hKZzG3wlguv0nxTJwmDAGcYCDAAAABwJZy4AjuHHo8vJO74lXtJevU7geUTnfVdFzNeEWaqLIqp8rB6FlashLsuy1d0/rwRCDDINlbXd3NagG/8SkgERkEzIMAZBgIMAAAApJ9AKEIC7PQE5XMDZL9kxfKJzvz6SereS1FkNS6smIUVm4W7rjHCe2Ox1fZDgEFWcRUukcncBgEmMAraCAQ4w0CAAQAAgPQT1AXY7vKLSbCS4/IGmwY2SpoX82rnnlfOvKiaeVk1y8SVophqXFgxCys2C3ddY5j3xoIeYJCF5LQAj0wsyMu40fzHZw/YhaeYrx6WyFPcICDAGQYCDAAAAFwJpL4ujzb5czh+5mdTolHtfmCfP0QvcXu1jM4ffFs0fqa7Gi3XNKxeCXddY5juqrHWoAcYZB3/8M8/YzKQQ7kl3jI6uXgx5buRK0VBgDMMBDir2dnZefbs2ccff/zjH//4zp07/8cp77777nvvvff555/39PTI0hTw+Xw2m+2Pp1gsFrvdLo+dB3oVtUqe5Y9/rKmpkQfOwvjuLS0tcm88dMl0XXS9dI10pXTVtH3v3j3aSYdk0VlQ5aeffkov/OEPf0gneeedd2ibPrH79++nfhKVXG+/Cv3+iNYSosGCf/zHf6Q9v/rVr+gdR0ZGZPX5OfMTo5PThxN7a3pfcZnG38yVlRVqpDzLeX7fEkEn/PLLL+Xp/vjHmZkZeQCA9JFk1qtzUdmxovjq2zDRZWHFSrjrsjDRZYmVQYBBFpK7yyBRbsMs0AKMgo4BAc4wEOAshb6jk35873vfE2KQBHIG0oNUVJZOKF9zCrmHPHYe7t69K19/CtmaPJYYshpZfQqzd/IQao88lgC6BPpk5AvMSPEkFzD/XG+/EfLS999/P5XfLgH9xOkl8sUpk/wTo0tIcqWkxLEytZ2ffPKJOHoB6PNXT3gZyQfAlFSGPadCz/jOVxajtWphosvCis3y1nLVMNFlYcUUCDDIQn7yiz8wGciV3IZ1gGNgFHQMCHCGgQBnI2QOqcuJ4M6dO2d2ZP34xz+W1afQHnnsPJByy9efQkomjyXmj3/8o6w+xdgl+OzZsxQvmcoS9QF+/vnnKZ7knXfeOW9HYq63n/D5fF9++aX640sRcuZziXeST4ws1NjhbIqopDarnwntufCfAD799FN5FgMQYJB2QmGx7u9l2dhzfV0wJsSViS6LwW8ThburMUx01bD6WCDAIAv56Hd/YTKQK/n3n//n7RHgstqui1nfBx9+dsM+JQhwhoEAZx2qNqTImd1i2SnAZDhkVnJXypBwitMKdnZ21KtLDkmU6aDcROR6+8nxxIDqy0BnSH0MdqJPjOw3FQkXJyFMP172AaaO+tZ37tyRxwBIH6S/iUZBkxqnPkB6a9/9jX4bcJIoosvCldUYZrlqWD3LVxBgkJW8KKhPu05kJr//03e3R4CJC9+tfcMGikOAMwwEOLsgQ5Dfys/PmTabhQJM9vjee+/J5+ck1muXolCpvPPOO5fUuVxpP7Xz8vYrSP13xvQTs9vtKV6sPIs+YFvuMnCxX92enh75egOpDOAH4Lrw+UMvKmeY8YooosvCZZWFiS4LK2Yh740FAgyykKvQicyktKZTXsPt4MJ99c/z6+QpbgQQ4AwDAc4iSGaMM13FePfddy0Wi5AHKpuZmaHtZ8+eMfXKOQGuqakxtUcx59PHH3+cfJTs3bt36bSJ7JE+STo5NSy5+FGrRPPOJKfbT+8iXxDP9773PWrqJ598Quehy6HfKzFt1b1795Jo6v379+V5k6J+YnR+009MhRomz6Lbu+m/i9T/eBED459BzhGORBv718/jvRTuq8Yw0WVhxWqM6itirRk4srtkcwHIGi48wdL15rZJC0ZBCyDAGQYCnEWYzgmUfPIhEhuyF1F5poVmmwCrVkNnJtWXL9Ah+Ulye63pHa2knez+WLvdTpXycDzUBnoLWZeUnG6/KsCk3+SxSe6kpdOa6iJBLZRFSVE/MXUwM30y9C4kxvR24s869LsktFyeRSf2S27k888/l4dTxvTTlscASB/0rezMO4DpOMltojJ/IBzRV06i40Mz+6mpL5dVY5joqmH1LEx6jSmpGdw/dIhmA5A9XHiCpWvMrboBWHBh8bths4VBgDMMBDiLUIWKFEIeSwrpzccff3xmR1a2CTCDTpLI5UgIEzkkI8lwVpIrWRTPhfszGdncfhJdWa3/0Ek15YGzMB0zTKRyhjM/MZLPM2duE9DvtnyNgfO6K7VZvtLABSwagDMhfXV6gvJJAshvqSYQDMvnBrz+0LHDT4/i6cTioeK6xnBZNYZZrhpWz8JcVw3VQIBBdnLhrsVrzGdfvLptAkxgFDQBAc4wEOBswagoMVLp3EudbBbgM1XfYrHI0sSQIsrqBJDtyFIDF+7PNJIT7b93717q6hvj448/lu9k4Msvv5SHE5P8E6PfoiT9zyp0mfKVBlL0Z4HphVxgHDUAyaGvry5v0OEOsC+yEXoevyfRN13y51gPMNE5uq1ILyXOVNUw0WVhxSzMctUYiyHAIDu5CqO46txOY7nwjGUf/vaLRP8VzTkgwBkGApwt1NTUyK/kp5y3g+tMslaAz7RHgfq+Rs60R4KMy7QndiXp2ryCXG//hSFFVN/0/fffl4cTk+QTo4/ivG02HQSepMNcRR1hcbHffwDOhPSVBNhnkFgiRM8MT1Onb3I3dfVlosvCitUw0WVhxSIQYJC1fPbFK6YE2Zybt7RPimAUNAEBzjAQ4Gzh/v378lv5KWKSpDSSnQJ85upNMRLdB0uk0iEpoKbK1xjo6emRhxOT6+2/DGrv6w9/+EN5LDGJPjHS6QvMO2Xq4fSrKA+fhen451T+6ADABaCvZKS7Tk+QTFjsiUSjHl8otvqRWCQpxa9uw7P7l/ReCqtnYaLLwopZCqsGtnaPZFsByCZyqxO4pWtUtvv28ZNf/IF9GinmxnxoEOAMAwHOFtSbLd95550bPwT63r178nAKkALJl8Vzrm5AtaedSD7TmCDX238Z1MmrUjHPRAJM+2XFOTFdEDjFQd3q+GfS6fT++wLACMktGa58oj8lGXZ7tRuDab/LGzx2+k1vABaQHouQJTcPbjDnjIVZrhpWz8JEVw2rZxE1lsrB1Y092W4Asoxc6QS+td2/AoyChgBnGAhwtmB6D3B6Z+jJNgFOfQbmGGof4HkHiqvzIROpzCOV6+2/DOokzHQh8lhiTAX4MuMaTBcEJrOVhxNDPyZ1/PO5/ngBQFogm6XHQEjTWuG3Yr8KVdBR8b1uZG7/m6JRRT656xrDillifpsorJ6FFeeVDy7haxbIVsgrcmI9pNvc/UtcWP9uzChoCHCGgQBnEaYrvqbRgbNNgFMfvxpDfevzXoLpHxpS6ZPM9fZfBlOVlccSo76KtPlc01YxTD02lYESpt3mtFMeBiDjGL+w0Tbprj4gOu5rnM8vh0zTY3HT/Kl8ctc1JuaoicLclYUVs7DiWJ5Z+6fn10WbAchCLty7mLH8/k/f3ebuX8GF/05xMzQPApxhIMBZhOkstQTtT8tctTdAgO/evStffMoFLkHthr0N7b8M6RLgC3xiDNN/I2eOAKfPR5aecoHeewDSSDAUodAGqa/bG3R5g8Y7hAk66vIE3b6g2FnRvsxcl4XJKgtTVhZWrIbVszyz9kGAQZbzr+/9hrlB9uQHd395fOKUDb3FXHjd5puxdhQEOMNAgLMIu92udnAJyHnoS/wlJ/u9AQKclku4ne2/DNkjwKbrEicfzEyi+84778jSU1KfugyAtCNGNvsDYbJc8lt/MBwIhsORqN4HrB2i/V5/iJRY7KQ9MytHf7OMMumlMFNlYaaqhtWzsGIlQyKPivt7hua0CwMgWyET+Id//hnTgyyJrbpDtvJ2c8tHQUOAMwwEOLswnavWyHvvvWexWGT1OUmLfRG3UyBvqgDb7Xb6rXv27BldIEG/YNQkhvqOhHx9YtLyiamodwp873vfo6uQhxVMxz9f9bzZACSBjJfUluLzh8h1heKSA9M2PYpDJMCBYIS0mLbp6IHd+23ReHZ4L0WqLwQY5BAtXaNZOBAag5+N3OZR0BDgDAMBzjq+/PJLdYwr486dO59//nmSL/2mkMnI159Ce+Sx83A7BTLX288YGRmhK1LXN0odeaLEXJEA02++PJ2BJAsa3bt3TxadksoaTgBcHWS2voDW5UsbFBJgocHkutpGRHtK8Qe0nmFx6MDu+6ZwjJmqGsVU48KKWVixWeK8N5bvCvubOibktQGQxXz1sCSrHPjD335B/+Bl48AlRkHTT1aeImeBAGcYCHA20tPTYzohFoM8+ZNPPkldg9NiX8TtFMgbI8AtLS1qMy6APF1irkiATVeTSvQx+nw+9c9J1DB5GICMI3p3RTdvLOS6pLmyQq8RAkySTI9RfVXh4qYFpqyxKKYaF1ashtUr4cZrzJdvBr8t6G9oG5NNByC7+dlHf2aScF35l5/++sjukM0COqOTixeTwB/c/WWud6RDgDMMBDhLIa0luVXvXVS5c+dOivPZpsW+iNspkDdAgMkGqVK+5tLIkybmigSYeO+99+QZDZhOFGexWORhA5e8lx6AyyC6f/3BsJj4irw3EAzTBj1SqICkl+Lzh0h9Y3cC0351NWDFVHlYPQsrVsJdl4XUV+Tv+QOVDQP6xQGQ7ZAm/eQXf2CekPnAfhNxa0dBQ4AzDAQ4qyEN/vzzzxPNjGUkldVQ02JfxO0UyFxvP/0uqXNQJ4JaZUR9R0KeNzFXJ8CmWmu6YJg6/pkuRx4DIOOQyp64/EJ9hdxSSHTFo+gNppAk06OQZNqvjYGORvPr51IT1zjLVcOKzcJd15iY98bytWWgvL5fXiEAWQ/9a7rwUNu05N9//p+w30Tc2lHQEOAMAwHODegbv/pVnvHll1/K6gTQV39ZesrFZOB2CmSut1996xj0q2Wz2VpaWhKttqVeOyGPJebqBNh0Yud3331XHj7FdPzz/fv35WEAMo7bG7Q7/RSPT1v66MQVEIpLrqvPeqW5rhj2LPqBaYO+rJMM02vre9cUU40LE10WVmwW7rrGMOk15m95A7ZqzCoHcgn6Z/U8vy7tvpFKfv+n77DoURLKarsu9nP54MPP6Mcqz5KDQIAzDAQ4lyA/+eSTTxJNkUX7Z2ZmZKkZabEv4nYKZE6339Rg6Rfm888/T2WJ6WwTYMJ0QWD2+692FNMln3fqOADSCHmtzx8iAT5x+R2ugO+075dC+0mASXr1HmCtN5iOiq7gYEibKHpzz/XYNqFYKxddNaxeCXddY5jrqhFlJZWd8goByB1GJhYyuTbS93/0wTNLbU5LWgYgD7zwDyWn/7IAAc4wEODcg4zF9Ns/cffuXVlkBmmSrDtF7TRLhVsokETutt+0v5RUsKWlRVacRRYKsOmCwJ9++qk8rKPeKvz+++/LYwBcH8KBnR6t79cteoD1CNelR92BtW1RT1YciUTXd50PSsaN7spEl8VYaZY40VXDRJeFFVtrej1ev2gtADkEKdNHv/sL04aryL///D+XV7flu4KkXPgn8jy/Tp4iB4EAZxgIcK5iuhgMQbYjKxRUAb6YkNw2gRTkbvtTv2M2EVkowIQ6U7rx/Ha7XR0rQR+FPAxAUrQu16uEnDYQDDs9AYrLG/TqU175tXmwIrSHrDisa7Cs1plYOPg6f4TclYkuS7zlmibOXVmY6LKw4lhsNX12h1s2FICcIhqNjkwsfPjbL5g8pCukvi1do+j4TZ3bOQoaApxhIMA5zKeffiq/1xsYGRmRhxVUASZDkMfOw20TSEHutl/9uRPnmgk5OwXY9G9AsW7tZ8+eyV2nvPPOO0n+PASAESafVwQ5sMsTdPv0eIMkwOIm4ROXn5RYFp2ysu34tjjhUsCK5arh1moME101rJ6lpLpv//BENhSAHITEiTT1wlMQm4bUt7SmE+p7Xi6sgt//0QcQYGMgwEmAAOcwpqNAk8zxk8ptk2dC4qSOp4UAp8i1tF8dCUw/QXksNbJTgHfMFgSOTYeuXnUqM6UDIIgNP75qyHjFLb5hfapneojoA57JwMmH6VF0DlPl4Mwek14RRXRZuKwawyxXDavnoQI9lor+1Y09cUUA5C70b5CU9fd/+o5UirlE6qHXkvp+9bAEk11dmFs4ChoCnGEgwLmN6qJkHfKYArmxLDJw5tzRRkg5VPsiIMApci3tV4cKn/dNs1OACVO39/l89Iuqjn9O/Z5nAE5c2jhk+eQqEborn8RDSkyhZrj0lrQOxa0DrIguiyKr8WGiy8KKeU69N5ZXpX0Ly1ui2QDkOtrfonQT/uyLV//y018zqUgUqiRzHplYIO+ll8tzgQvxoqD+Yjb44W+/yNEPHwKcYSDAuY0qwEmE1rTHOPV5sOx2OxXLl8UDAU6RLBFg2iOPpcb7778vX2lAHktMBgTY9PZmm82m/q0n7W8NbjahcMTj03tmrxufPlEWmXBN92oK3ktRfNUQJrosrNgk8d4by5Oinum5NdliAG4KughrkNaSDz/PryMlJsX64MPPyHUpXz0sof0tXaNUICrlK8HluIWjoCHAGQYCnMPMzMzIb/cGkkzzQwYri+KpqamRFYlJYr8EBDhFrqX96psSqd8NSyeXr4lHHk5MBgTYdILre/fuqZfMJogG4EyCIW3JIvnk+ohEoqIZDWesA6zIqiFMdNWwep543WX5a97go+LenqFZ0WAAbjDCcmPIveAK+Nf3fsN0LsW0dI3KU+QUEOAMAwHOCuh7PH1lJ9O4/NREyZd1NXUhMtvki6OOjIyo0mUEApwi19J+U4NNcei76WsFsiIxGRBgQr2zXR38TJz3XncAwqfmeb2IZgSCkerOFUV6KYqsGsIsVw2r54kXXTWkviIPCvtaeyZkiwEA4NL89ZH1Vo2ChgBnGAhwVmAcnPzJJ58kl1iB6eDPM23K9DZggswkkXuTKamdbAwIcIpcS/trampknQGyxOROSEfv3r0rq82QdYnJjACbDuxnJF8fG4BsRtwGHA5HBqd3/2rRlkE603spTHRZWDFPvOWqiXlvLN8WDDS0JVyAAAAAzsttGwUNAc4wEOCsoKWlRX5VP+XevXuJRiaTmSTqlztzmh+73X7nzh1ZHQ9ZLrm3zWYT+j0yMkKOrd4+SqgzD0GAU+Ra2u/z+dSXEPQT//zzz9Wx0PQL8Omnn5r2oxqR1YnJjAATpr+lRs410xsA2UYoHCEB9gfCr6tnuKzGh4kuCys2SbzosjDpNeab/P7y+j7ZXAAASAcXXpUqF8UPApxhIMBZgSrAMcgZyJE+/vhjkhzaSNIpRzIjT5cUdX3Uc0HvorYWApwi19X+M3/ByHjpAj/55BO1hQL1TeWpE5MxATZdENhIKkMqAMhawpFoMBQJBMMF9bNcWfUw0VXD6nniRZeFua6ar/TYarplcwEAIB38x2cPmNGlmM++eJVzncAQ4AwDAc4K6Au6/Kp+Ud5//315rhRQu3BThOSZXg4BFuR6+1Pke9/7Xk1NDb2FfH6KPG9iMibAyf/50G+7rAMgByH1Ffa7tuN8Vj5pFFdmuWqMxSaJF101THRZhPfGYqvuDgav/5ZpAMCN4VaNgoYAZxgIcLagCkbq3L17N/ksVgyfz3deB75z505sSDYEWJBb7SeS39NrCv3cR0a0W/uyWYCJJL/PSeZFByDLoe9wLm/Q7Q16fMGG3tW/5cu7f5nosrxVXNPEW64aJroszHtjsdb20hc42W4AAEgHt2cUNAQ4w0CAs4hnz56pbpOcd99912azydefB3LgVO7zFJD8GAUbAizIrfYL6Hcs0U3gDPrdoN+Q2B3CWS7ApnPCEXQV6k3OAOQKmgB7goFgOBKJ1navMNFl4aKrJl50WZjosjDdVVNU1be1cyjbDQAA6eDCo6C/elgiT5EjQIAzDAQ46yChvXfv3pmWcmH1NSLm00o0yTPt//jjj9W5gnd2doxrAlNTU+lkI202mpvwK3ksZeiNjJ8MtfAC8xuRmBnN/5a0PwYJ4eeff57oh07QZX7yySdsVnD6ZTO+hH4x5IHEpOUTSx36VyPfyUDqfxoAIAuJRKN2p9/rD4VCkSQCzEWXJV50WZjoqmGiy/NmQORVae/C8qZsNwAApIPW7rGLaeG//PTXuTUKGgKcYSDA2QuZZ01NDdlOjPv375NUnGut4BSh05KJybf54x/FTFfoOrvZ0M+Xfsokz/Kn/sc/0rYY8JyL0C+wtF4DiaZSByDLIfWNRLT4A2GRmq5lo/Q+KZt4VTXFXdcYxXVZmOiycNFlOfXeWB4V9QyPL8rWAwBAmrglo6AhwBkGAgwAuAmoiyHduXNHHgMg1wgEwycuv8Pl9/hCwVDE6w/FeoBJbh9axys7looa5uKMVyTectUw0WXhoqtGUV+R7/L7WrvHZesBACBN3JJR0BDgDAMBBgDkPC1m6zxd6YhrAK4apztw7PSRAPuDYXLg+t7VmOXeLxp9UjrxTeFIbI8WxXWNYaLLwi1XjWK8xvw1b+Cb/L7qxgHZdAAASBNltV0XM8MPPvwsh0ZBQ4AzDAQYAJDzmN4AnLvDuQEgwpGowx1weYJef8jtDbJFgJ+UTchtxXWNYaKrhosui+K6xpD3vo1lwFbdKZsOAABpgszwH/75Z0ztUszxiVOeJeuBAGcYCDAAILfZ2dkxzgom+OEPfygPA5CzRKNRMQW0PxAub1uM2e+Z3kthosvCRZdFcV2WOPU9ja2qE0sBAwDSzke/+wtTuxTzPL9OniLrgQBnGAgwACC3MZ3+6vPPP5eHAchZotH/cnuDvkDI6w/JIdCnfvugePRF+WTsaSxMdFm46KpRXNcYZrwstuoe+g4nmw4AAGniNoyChgBnGAgwACC3Uae/InZ28N99kPNEItETl7YM0u6Rp7pzmfz2ftFIXs30I+vYw5KxV5VT2eC9f6UCPUWVfVs7B7LpAACQJi4sh9//0QcQYGAKBBgAkMOYTn/14x//WB4GIJchAXa4/G5vcGPXqS16ZBDgVLyXwkWXRXFdY7joqjlVX5HXtt6FpQ3ZdAAASB8/++jPzO5STK6MgoYAZxgIMAAghzGd/urZs2fyMAC5jBDgQDBsd/or2haF9Kaivlx0WRTXZeGiyxLvvbE8LOwZGJmTTQcAgPTxoqD+wqOgW7vHKKOTi6vru1l7mwYEOMNAgAEAuYrp9Fe0x+fzyQoAchkSYFJfjy8YDEXqulfIex8UjzLXNYaLrhrFdY3hossSr7tq7hf01rcOyaYDAED6uIwf0gtZ/vW933z0u7989sUrEmP5BtcNBDjDQIABALmK6fRX9+7dk4cByHGi0ajbG3S4/C5PoK57mRS3fXijtGXeKL0UbrlqFNc1houumnjR5Tkt+9rSX16DlZAAAFfCP/3br5jgXT7Ch0mGXxTUy7e5JiDAGQYCDADIVUynv6qpqZGHAch9otH/cnmDTl2Avy0czq+dsdRMp6q+iusaExPXhDFarhpWrKe0qgMrIQEAroK/PrKmXRFjoTOTYH/2xavrmjQLApxhIMAAgJxkZmZGKq+BO3fuyMMA3BTcugDXdC4VNcySA1/SeynMWnmMlquGFcfHVtN7dOyQ7QYAgPRxFYqoht7iPz57kHkNhgBnGAgwACAn8fl8d+/eleKr895777W0tMjDANwUwpGoyxucWz2q61kpa1v4e8EwN95YFNc1hskqj9FyTcPqWd70U/LKepZXt2S7AQAgrVzFKGjT/MM//yzD00dDgDMMBBgAAADIaiKRqNMTqO1eLmmae1E5mU7vpRgtVw0rZtG9N5YnRV1jkwuy0QAAkFb+47MHzPGuLqSjP/nFH45PnPK9rxgIcIaBAAMAAADZTiAYLm6cK6iffV4xkW3eG8uD/J62rJlVFQBwkyBFvPBqwBfOP/zzz0YmMvFHPQhwhoEAAwAAANmOPxguapzTRkG3zjPXZeGyymK0XDWsWI0ivcb83dJfVd8jWwwAAGlidX33v//P/80ELzMhLy29+vntIcAZBgIMAAAAZDXhSPTE5bfUTj8vn3hTPcWMV4SbKovRck3D6lkU1zXmb3kDsdiq2sORiGw3AABcmtHJxf/2P/4Xs7tMhtS0pWtUtuZqgABnGAgwAAAAkNVEolGH21/fs/J1/hDlHN5LMVquGlbMorgui1F9RUqru05OXLLdAABwOch+/8//6+dM7TKfq3ZgCHCGgQADAAAA2U4oFClqmMmQ91IU1zWGSa8xRVW9G5t7stEAAHAJssR+Ra70fmAIcIaBAAMAAABZTTSqzQJdWK8JsBDUJ6VjeTVTb301FqPlqmHFahTXNYa5rhIq6H9a1DU2MS/bDQAAF4Wc8Lru+02Uq3NgCHCGgQADAAAA2UskEnV7gw6Xv7hxNmaqfy8YIh++XzR8Kq5n5fSF5lFc1xhFdNVo6ivyXUFvc/uwbDoAAFyUTC56lHrIga9CLCHAGQYCDAAAAGQvJMAeX3B58+SJbSymrA9KRv5mGfybJd5y1cQU1zSK67Ioosvy1ntj+bulr7SqXTYdAAAuxF8fWdMuhOnKzz76czQalQ1NExDgDAMBBgAAALKd3okto7vWdC7Zmufyqqe48YoYKs2juK4xiuiyxBmvmrLqDo/HJ9sNAADnZHV99x/++WdM57IqaZ8QCwKcYSDAAAAAQFYTjkRLW+Z1cZUprJt5VTn5TcFQbI8Wo+KaRnFdYxTRZYmzXJO86RMpruze2tmXTQcAgHPyf/8/nzKXy7b807/9Kr2dwBDgDAMBBgAAALKavSPP3/PjXPfrvMHviobf7mGiy6K4rjGK6KqJF12WU++N5UVx59TMkmw6AACch7Larqwd/GzMVw9LZIvTAQQ4w0CAAQAAgKxmfu34resaw0SXRXFdFkV0WeJFl0Xx3lge5ne1XeWCmQCAG8zPPvozE7nszPd/9EEaDRMCnGEgwAAAAEBWc3TitTXNpeq9FMV1jVFElyVedNUoxhuXvL6/W3rLqzEPFgDg3IxOLuZE96/I7//0XboGQkOAMwwEGAAAAMhqQqFIffcyt1w93xQMvaiYkE8V1zVGEV2WeMtVw0SXJS8upZVtwWBIth4AAFLjo9/9hVlcNuf7P/oAApyjQIABAACAbKd1cC0mvbHcLxourJ95VDJS1DDzbcEgM14RRXTVxIsuCxNdlnjvjaWksnt371A2HQAAUiD7J39Wky7JhABnGAgwAAAAkL04XH67098/uc3sl+T2fuHQw+Jh2nhiG/1aWxP4XOobL7osTHTVKNJrzCtr19z8qrwAAABIgWxe+zdRPvztF2npBIYAZxgIMAAAAJBF0NepUDgiNlzewNDMbufIBgnw/aLhmPpSHpWMfJNv0uuriC5LvOiqYaLLorhuXE7LHhZ0tXWNiMsBAIBUyJXpr4xJ1yhoCHCGgQADAAAAWQTZ7+aec3X7ZG71aHHjeG7taHrpYH7t+HXVRMxyHxQNF9ROfWMY9qyIrpp40WWJKa5pmOiqia//e15veXWbvB4AAEiBf/q3XzGFy4k8z6+TF3AJIMAZBgIMAAAAZAvhSHR9xzGxuD80vTM0s7uwfkwaTOmb2Hqgj3aO6W4Weq8xpVXtHo9PXhUAACQlt+Z/NuazL15dvhMYApxhIMAAAABAtrB/7GkZWCMBXtqwkwMvrh+Pze9NLOw3969+fSq9qalvvOiyKL7Kw0SXhRXH5+s8LUUVXavr2/KqAAAgKbl4A7DIBx9+BgHOOSDAAAAAQFbgD4SPHL7x+b2+ia2R2d2pxQMtSwcL68fDM7svyscv670UxVfjwkSXhRUrEeor8qSoc2RsTl4YAAAkJRdvABb5wd1fQoBzDggwAAAAkBW4vcFwJHri8mvjn6d3Jhf3Z1YOV7ZOyIGb+1e/KxqOie6zsrH7hUOxp3oU1zVGkdW4MNFVw+rjY/TeWL7L765p6JEXBgAASfnJL/7A/C1XkpZ5sCDAGQYCDAAAAGQRm3vOnrHN6aWDhbXjxfXjiQVtOPTc6tGryomY7hbVzzT2rnxTQA6suK4xiqzGhVmuGlYfH2a8amwVLcFgSF4VAAAkJkdnwBK5vGpCgDMMBBgAAADIIrb2nGS/ixvHk4v7JMDza0exqbDuFw59bRksa5l/VDKcVz35qnKcG6+IIqs8THRZWHF8mOWa5E2viK2qa3fvUF4VAAAkJqcFuKVrVF7GRYEAZxgIMAAAAJBF7B25yX5nVw7JeEfn9kZnd0dmdzd2nTuH7m/yB74tGGwbXHtsHSHRre9e4g6s+GpcmOiysGIlXHRZTr03lpclHVMzi/KqAAAgMTktwKU1nfIyLgoEOMNAgAEAAIDswh8IL2/a24fWSX1pY2XrJBAMb+w6vrZolvv3fHnH79PS0RflY5f1Xgqrjw8XXRbFe2N5mN/V1NovLwkAABKTdv3LZNADnHNAgAEAAICsIxqN7h97vL5g7KnLGyiomxLqK6PIalyY5aph9fHhoqtGMd64UIGlr7yyVbQfAACSkNMCPDKxIC/jokCAMwwEGAAAAMgNOobXyXuf2kYeFA0xX40LE10WVhyfOMU1DRNdlvhiW1X7yYlTth4AABLwD//8M+ZvOZTLqyYEOMNAgAEAAIDcYPfQ/W3BwHeFg9/mDzBx1cJEl4UVK2HuysNEl4UVnyavtHNufkW2HgAAEvCv7/2G+VsOBQKcc0CAAQAAgNzA5QmUt8wxceWiG5/7hYPPy0b5SwxhysrDRFcNq4/Pw/yu5jbcBgwAOIOfffRn5m85lONLj3OBAGcYCDAAAACQMyyuH8fc9buiwYfFQ8x430av+bul/37BYOwlsTBTNQkTXRZWzEMFeiy9pZXN4UhEth4AAMz4j88eMH/LlfzLT38djUblZVwUCHCGgQADAAAAOYMmwKeK+6B48FGJIsCK6xqjmKoSJrosrNgkp+p7GltV+8HBsWw9AACYUVbblXYDzEw++PAzCHDOAQEGAAAAcoaVLftDVXopiuuyKKYaHya6LKzYJHHSawxWAwYAnElr91iOCvDz/Dp5DZcAApxhIMAAAABAzhAIhut7llJXX8VU48NEVw2r54lzXZ43PZSH+Z2NLb2y9QAAYMZVGGBmkhbPhABnGAgwAAAAkEtUtc9f1nspTHRZWDFPvOiq0dVXJq/HVt4YDIZk6wEAwIyPfvcXpnDZnx/c/eXlxz8TEOAMAwEGAAAAcgb6rtU6sPp3Sz8z3melo49KhhVTVcJEl4UVmyRedFmM3muIrapza3tPXgAAAJiRi7cBp+UGYAICnGEgwAAAAEAuYXf6SHeZAP/dwkw1Pkx0WVixSeJFl0UxXpYXxR0jY7Oy9QAAkIB/+rdfMYvL8rR0jcqmXw4IcIaBAAMAAAC5RDgSbe5fEd6rmGp8mOiqYfU88aLLooguy9/zekUe5HfVNHTK1gMAQAJyazGktCyAJIAAZxgIMAAAAJBj9E1sKrIaHya6LKyYJ1501Siua0zMe42xVeA2YADAGYxOLubQKOi0zP8sgABnGAgwAAAAkGP0jG0o1qqHiS4LKzZJvOiyKK5rDDNelqLy9tW1Ldl6AABIwM8++jMTuezMD+7+8vjEKRt9aSDAGQYCDAAAAOQYfePxPcBMdFmMleaJF10WxXVZmOuyiJrHBe2tHQOy9QAAkACyypzoBP7si1fpGv9MQIAzDAQYAAAAyDEmFvY0cWWiqybOctXEiy5LvOWqYaLLwoq/zuspxShoAEAKkFsyl8u2pLf7l4AAZxgIMAAAAJBjbO467hf0c92NhYsuS7zoqmHuGh8muiys2BiMggYApEI0Gs3m6aC//6MPmjtHZFvTBAQ4w0CAAQAAgNyjrnNB9d4zFkMyWq4aRVmNYaKrhtWz/D2v50lhe3dvepYMAQDcbFq6RrN2IHR6Bz8LIMAZBgIMAAAA5B5zq4cPCgeE98byonz0UfGQcY+eeNFlUWSVxWi5algxC3lvLA8KeksrGsORiLwAAABIzEe/+wszumzIBx9+lt7BzwIIcIaBAAMAAAC5RzAUmV46eGwdVnQ3FsV1jVFklYWJLgsrVhPz3m8svd/m00u07ZLKto1NfCcDAJxNNBr9yS/+wKTuevP9H31wZHfI9qUVCHCGgQADAAAAucrk4v43lv5zeC9FkVVjmOiysGI1Me+N5XHJwIuyYbH9pLCtuzfN984BAG4qWeXAZL+26g7ZsnQDAc4wEGAAAAAgV9k/dn9XOEDe+21+/zf5Se1XkVVjmOiqYfUsMd1Nnm8t2lzQGAUNAEiR4xPnv773G6Z2mc+V2i8BAc4wEGAAAAAgV9k5cGnTQef1PisdflwyFGe8IoqssjDRZWHFLMxvU4mtonV370C2HgAAzuLaHfgqpn1mQIAzDAQYAAAAyFVIgLnxiuiC+sw29KRkMOarxjDRZWHFapjWitDbvakcZTtZnhW29Q2My9YDAEAKkANf11jof/npr5dXt2U7rgwIcIaBAAMAAAA5STT6X9v7zoq22YfFA0x9Rb7J66XEnj4sGnhqHWKua0ysMlGYzRrzvHToVcVI7HZf87zp/javE6OgAQDnJRqNfvbFK+Z4V51///l/XtGsVwwIcIaBAAMAAAC5SiAY3txzPLEOMVNlEX77oLCfHDimu8awehbusWZ5XDwQm+2Z5023MbbK1oODI3kBAACQGuTAIxML//Rvv2KmdxX5/o8++OphyVWseGQKBDjDQIABAACAHGZ2+eC7gn6mrLG8KBv5xhLnuvT0VcXoN5a+tHhvspwa77eWntflw9+c7nlZ3Do4MiFbDwAA54E0+KqXCP7wt19k2B4hwBkGAgwAAADkMB5fcGh6S3FXzXUfFg28KB1+XDxI249LBsmTaeOpdah9cOV56TB7iTFcZc+VN91PSwYeF/cL3aV8k9f9pmLkuW1QPL1v6SyvapKtBwCAcyK6gklTmfJdPv/+8/8cHp+n88t3yhQQ4AwDAQYAAABym4n53VNxjevsfVDYb22cIgem7We24W8tfaLsZbl2s67YNoar7Hlzarx1nfM17XOxpzJ5b2OrbMEoaADAZSBNJb56WHJ5dfz+jz4gnSapztiYZwYEOMNAgAEAAIAcJhiKTC3ukd/GvLewdqKkYaqgdqK6fW5m+cDaMCX8NvGM0JcLE9033Y+L+/OqRuVTg/fG8rK4dWJqTl4AAABcAtLg5/l1v//Td//y018zCUwe8t5///l/0mvJe+kk8nTXAQQ4w0CAAQAAgJxnYe3wvj7CuaF70ecPub2BY4fX6fbT9ujMtrhJOK9q7HXFKOWKvJfyTV73g4I+bVuRXmO+y++sqG6WTQcAgEuj9wdHSWVLazpJhslsKT+4+0sKiS4JIT2SIX/w4Wd09KuHJaK/93q9NwYEOMNAgAEAAICcJxgMV7TOVrfP+QOhYCi8vnOye+g6OvE6XP79Y/fIzDZ57zd5vY+KBspbZrjKnivxxsty39L7umKY6W5c3nSJlFY2Hh3bZesBACB9CBlOgqzLGiDAGQYCDAAAAOQ84XBk78jt8QVpOxAM7xy41rbtG7uO/SP3scPr84dWNo/zqkaf2YYeFQ9wp00xiu7GhYkuy6n3xvKyuGVialY0HgAAbjMQ4AwDAQYAAABuApHI224NtzewvnOyumUnE949cDk9ftJjst9vLIrWnhkmuixMdNUo6ivywNJeXdcimwsAALcYCHCGgQADAAAANxBy4L0j17HDe2j3OFz+jd2Th0X9XG6ThIkuC7NcNYrxGvNNnna3cGl5g9Ppls0FAIDbCgQ4w0CAAQAAgBuIzx/aP3Zv7Tt3DpwuT2Bt2/44lcHPTHTVMNFlUVzXGOG9sbyxtk5MYhQ0AOC2AwHOMBBgAAAA4AbiD4TWd05WNo9PnD4SYI8v2Du+HhPd1xUjlW2z31p6Y3uE3z6zDj4u7n+ru7Ew0WVRXJeFqa/IA0tneWVjOByRLQYAgFsJBDjDQIABAACAm0koHHG4tLt/j068xw5vx9AqiS5J74uy4ZqOuTeVozHvjaWxZ6GiZebtHia6egpqxmxNU/Kp4rqUkvpxS9UIbTDj5XnTZS1r3trelc0FAIBbCQQ4w0CAAQAAgJvM/pF7fefkwO5Z2jgqa55+XDJga5yKKe6Dwr6HhfrKvXoauhfKm6djrmsaTYAbJ43Gy1JYM/a4uJ/rbiwkxqd5mt/a0tYnGwoAALcSCHCGgQADAAAANxmfP7S569g/du8eupp6Fsly71t6LFWjwnhfV4xMLe6Vnipxcf1EeUtiAd/LLZEAAEw4SURBVFZc1xguumoM6htLaXm9x+OVbQUAgNsHBDjDQIABAACAm0w4oi0RvLplP7R7JuZ371t6yUVflg2R9L4oHXpQ0DcwsdHctyQU11I9+rpy5K3xiiiuyxJnuWrijZfFYm3GVFgAgNsMBDjDQIABAACAG442Ida2fefA6fYEGroXRGevrXHyqXWA/PZbS4828RWTXhHFdY3hossSL7pqvs3T8sDSXl7ZgKmwAAC3FghwhoEAAwAAADccry+4ve/cO3R5fMH6rvlv83tKGiYeFPUJy31eOng/v/et9F7Ie+9ber61nD6NF10W4b3GWMsxFRYA4PYCAc4wEGAAAADghuPxBuxO3+6B88Tpq2ideVE2NDKz9bJ8WOjuw6I+UuKLeW8sr8uHO4dWLFUjTHdjYdJrzNOC1pa2XtlWAAC4ZUCAMwwEGAAAALj57B+7t/YcOwfO0dnt8pZpS/Xog0LZA2xU3Ni2MUbRNcmp4hZUjz4r6Y89FWGuq+YbPZgKCwBwa4EAZxgIMAAAAHDD8QVC86sHJMAOl8/rD04t7jH1pTwq6rM2TBj3cNFliRddNUx0WYT3xoKpsAAAtxYIcIaBAAMAAAA5htPt9/lD0WhUPk9KKBzZ3D1Z3bbvH7tPXD6PN7Cyefyt0tl739L9tKSfNmKK+7i4v6xp6n5+T2yPTLzoGkMnuW/hrmsM895YHljaKyobZIsBAOA2AQHOMBBgAAAAIDc4snvIXRfWDrtH1gYnN8fndg7tHnksMeFw5OjEc3Ds3tg92TlwOlw+0uDmvkWSVaMAc8vVZ4d+WNT3dk+867IIvy1tnCCLjuluLEx3TfKm01begKmwAAC3EAhwhoEAAwAAADmA0+0n723uW2rtX+4YXGkfXGnpWxqY2PAHQuHIGWsIBYPh9W370sbRscPr8vjd3sDeoctSNaKq7zPb4JuKYeMeJrosTHSfFPd9l99t3MNFl+VNZyxPC5o7OvtkiwEA4NYAAc4wEGAAAAAg2wmHIyMz2639S51DK28zvNIxtDI8syW6gpMMiI5Go3tHrtWtY20iaJePiumxa3g1TnT1lDdPPxK9vorrshgtVw0XXRaD9xpjK6v1+fyy0SAr+eyLV//0b79CECS9Yfp6+UCAkwABBgAAALKdY4e3bWCZdFd4rzFtg8vNfYtzqwey1IxINHri9K1sHi1vHK1t23cPXXanb2Zp71sLv79XG/OsuK4xTHRZuOiqUaTXmHxry9T0nGw0yEr+47MH7Hs2giBZGAhwEiDAAAAAQLaztHHU2r/M1FekfXBlZGbL5QnI0gS4PH6y3wO7++jE43T7HS4fSXXv2Npb+1Vc1xgmuizcctUormvMt3kyj/LbKirrZYtBVgIBRpCcCAQ4CRBgAAAAINtZXD9sG0gkwMtjs9snLp8sTYzXFzy0e7b2HHuHLtJgnz+0unX8snTwSXH/fYu5ADPRVcNFl0VxXWNi3muMraxhawvf27IXCDCC5EQgwEmAAAMAAADZzs6Bs7lvsW1Qc+Du0TVtLDTZrz4iumt4pbRxcm4l2RBoQTgS2T10kQCfOLXbgNe37XTagYmNZyX9BdWjpup739L1qmywonnqUWGvcXYrLrosiuuyMOk15hmmwspuIMAIkhOBACcBAgwAAABkO4FgeGn9aHBys6V/qbptpn1wuW1gSTySwZLNhsNnTARNON3+uZX9pfVDrRP4yHXi8tFpx+e2SXfvW7qf2wa+s/TEFFfkQX6PpWqkoHrkTcXQ05J+LrpqFNc1hrkuDxXosZXWYCqsrAUCjCA5EQhwEiDAAAAAQG5Avrq8cTQ8vUkGu7p13D+xXt48tbRxJA+fRSQSJeml165sHJEMuzx+rz84Mr2VVzFcVDv2zNrPVjAyhosui+K6xnDRVXOqviIFtuapqVnZaJBlQIARJCcCAU4CBBgAAADISTz6cr6RJMsfmUEWTep7fOI5snt2D53kw7aGie8s5urLRZdFcV1juOWqiffeWB5Z2ioq6lLp0waZBwKMIDkRCHASIMAAAADA7SISiR7aPUcnnhOnz+MLjs1uPy3pS5f3UrjossTrLo9eYyuvX1hYls0F2QQEGEFyIhDgJECAAQAAgNtFIBgmAd4/ch3a3V5fcG3bXlA9crb3UhTXNeat4prGaLmmMRQXVfbU1LbI5oJsAgKMIDkRCHASIMAAAADA7eLE6Ts4djvdfrvD6/YGaLu8eUoo7lNr/7eW7rfGK6K4rjFGcTWP0XLVsOLTWEvrsB5SFgIBRpCcCAQ4CRBgAAAA4HZxfOLZ2D2xO70Ol+/EpY2C7hldI9H91tL1onRQWxP4+rw3lif5zXX16ATOOiDACJITgQAnAQIMAAAA3C4Ojt1r28f0KOLy+I9OPNOLu6VNk2d6L4WZKo/RctWwYpN0xGIrRydw1gEBRpCcCAQ4CRBgAAAA4HYRCkf2jlzb+44Tl4/s1+Hyub2BQ7unsmWKua4xiqnGx2i5pmH1PG+9N5anBegEzjogwAiSE4EAJwECDAAAANw6wuTAh7oDO30kwB5f4NjhreucZdJLUUxVidFy1bBiHi69LLbS6oODQ9lokAVAgBEkJwIBTgIEGAAAALiNBIJhcuCjE4/T7fd4A8FQuH1gSUjv46LehwXdiqzGh4kuCys2CXddY+6f5kVBQ3tHr2wxyAIgwAiSE4EAJwECDAAAANxS/IHQ/pHL4fLtHjh3D52jM1vFtWNkpy19C6WN4/G+ehomuiys2CTcdY2Jea8xpWU1JycO2WJw3UCAESQnAgFOAgQYAAAAuKUE9U5gst+NHTs9+vzB2eU90tQnxb2PCnvixJWJrhpjsUm46xrDjJflZVFjV1efbDG4biDACJITgQAnAQIMAAAA5DChcGRt237i9MnnKUMv3N53HNo9xyeeoxOP3ekNBMOkwXWds9/ld711Vya6LLEy83DXZWGumyhlZdUnJyey3eBagQAjSE4EApwECDAAAACQk0QiUfLV2eX99sFlcmC5N2Wi0ej6tn1169jp9u8fuQ7tbofL5w+EaKfW/ctEl4WLrhruusYwvz0zr4sbu7pwJ3BWAAFGkJwIBDgJEGAAAAAgJzlx+oamNrpHV0dnt8LhiNhJNnt04nF5AqTHYk8SNPU91u4BPjh20wY9Hp94dg6c5U2TZLlPinqfW/uv0XtjeZDXbrNV+Hx+2W5wfUCAESQnAgFOAgQYAAAAyElWNo96x9a6hlfaBpa297Vpouixe3ilc2i5Y3B5c/fsMcOBYPjQ7iYNPrR79GidwG5vYHhqg+yX8iImwFx0WbjrGsNs9rz59k075U1x/ejohGw3uD4gwAiSE4EAJwECDAAAAOQk/kBocf2QsrXnOLJ7Zpf3qlqnyX4ppMT94+vhiOwWTkQkEj12eEl66Qy7B07adulLIvWOrj4q6CEBLmua4LNhxYW7LgtT2XNFeG8s371pKyurQifwtQMBRpCcCAQ4CRBgAAAAIOdxeQLVbdOtfYuiB5gEeHnjUB5LSjAYJgE+tHu29x1Ot58E2OsLjs5uPS3pfVLc+7J04L6FSa8Id11jmMqeN0x9Y8kvaRxDJ/B1AwFGkJwIBDgJEGAAAAAg09gd3qMTj9sbWFo/XN44om3SzujZN+0m5ODYnVc5XNcx29q/qA+BXiKtlccSE4lG6X239hzUnhOnNzYpNL22pn1GkV4Kd11jmMeeN0x3We7ntT/IayuzlaMT+HqBACNITgQCnAQIMAAAAJBpVjaPhqY2Zpb2SFZ7R9eGpzcX1w53D5ypzFxlij8Q2tw96R5e6R1d7RpeGZrcsDu98lhi6FXUksNj94nTt3Pg3Nl3bO2drG0fkwbXdhgFmLuuMcxjzxsmumpIfWMpstZNTkzJ1oPrAAKMIDkRCHASIMAAAABARiHtnF7cJekdn9ueXd6fWtwdm92mrG3bo5fpBdZXNgoEw063PxSOpHIqKrE7vBu79q09x8GxmzZIwrW5oB3e0dmtypZJ5rosTGXPFWa5aozeG8tjS3NFWVVsymuQeSDACJITgQAnAQIMAAAAZBSy04n5nf6JdVLf0dntyYVdeko+TOYpKzKL3ekVw7CPTzz06HD5KGTCdZ0zL0v7HxV2p9F7KUx0WZjx8rxpL7bVLy4syqaDjLO6vtvSNYogSJbH7nDJf7RAAQIMAAAAZJoDu3tkZotCAjw6q220DSxt7WlLGV0LXl+QtFxskP26vQHa6Bldae6db+yee1U2cM3eS6EaPY/zmivLq9EJDAAA4GJAgAEAAIBMs7R+OKb1/e6Q+o7NbQ9Pb04v7vr8IXn4+nB5/LsHTnr0+oO7h86q1qnWvoWhyfX8qiEmtCmGia4aLrosp95rTJG1bn5uQbYYAAAAOA8QYAAAACCjRKLRqcXdoanN0Zkt8t7+8bXu4ZXjE488fK043b751X0xQzU16U35wOOi7vKmiYcFXcxsk4dZrhouuizxxsvyMK+1orwW00EDAAC4ABBgAAAAIHOEI5HVreOBifWR6c3hqc2phd2phZ3ukZXljSNZca1Q85zassBul8fvcPn6x1afW3tJaPOrhsTGmWGiy8JFlyVedNV8lydjKakfHhqVjQYAAABSBgIMAAAAZA6Pdm/tKmV8bntifmdocoM2ekZWaTtyuSmg00UoFN47cpH9Ot3+4xPPzNJufuXQ67KB7yzcdY1hosvCRVdNvOiyxLw3lgeWtvKyaqcTs7wAAAA4HxBgAAAAIHOQ5Pr8IXLLkenNzqFl8t6x2a3ByQ3akx3+q62l5PMHnW5tLmivL7h36Hxp62O6GwsTXTVcdFniRZeFSS/Ly4L69vYu2WgAAAAgNSDAAAAAwDVAerlz4Jxb2e8eWdnaO5F7swZtLLTb5/b4I5FoS+98Jr2XwlyX5X5em0hZec3u7p5sMQAAAJACEGAAAADg2vAHQrsHTpJM+TybcHsDZOmBYHhn3/GspCcV9eWiyxJvuWqY6LLEvDeWZ/kNtbUNsrkAAABACkCAAQAAAGAC2e+J0+d0awOhG7tnmesaw0VXTbzosjDRZWHSy2ItrVteWpEtBgAAAM4CAgwAAAAAjj8QWt+x7x5qawK7PYG+0ZXvLCbdv1x0WeJFl4WJrhrmuiyi5rGluaKsKhyOyHYDAAAASYEAAwAAAIATiUadbp/d6XW6/S63f2ff8aZ8IC3eS4kprmmY6LKwYkpBScPkxJRsNwAAAJAUCDAAAAAATIhEood2NzkwCbDD5Zta2Hlu7eGua4wiuixMXFmY6Kph9bE8zGsttZX7fD7ZbgAAACAxEGAAAAAAmBAIahN0kfo6XT6Xx+8PhJq6Z7n0iiiuawzzVRZmuWpYvRIqaHtdVN/b0yfbDQAAACQGAgwAAAAAE3z+oGa/bk2AaSMUCq9tHVnrR9LivRQmuiysWInmvYa0ltoqTuxZt5oUAACAbAMCDAAAAACO2xsg3T20u51uvz4RdCAQDIfCEXpqqx+tbZ+21Y0y441FkdW4MNFlYcVmMXrv2zzLb2iqb5atBwAAABIAAQYAAABAHNHof23tnSxvHLo8mv3So88f9HgDdCgYDHcNLZU1jrX3L7wp6zdqsGKqcWGiq4bVK4nTXZ43rRSbtXp7a1tcAgAAAGAKBBgAAAAAHH8gtHfktDu8xyeeE6fX4fK5PYFINEoavLFz/Kig81G+lqdF3YqpxoVZrhpWryRedNXo6ivyOK+psqI6HA7LawAAAAAUIMAAAAAAMIG8d3nj8ODItblr3zlwyPuB3f79I1dZw5gQ1McFnXnl/QZffRsmuiysWEm85aoxeK8xRSU187ML8gIAAAAABQgwAAAAAExwewLL6wcLq/sHx26S4SO72+sLeH1BtzcwMbf1tKiLTPWBpeNRfqfRXZnoshgrEyRedFkU441LXtvDvJYyK5ZEAgAAkBAIMAAAAADM8XgDbo8/Eo3SdvT00eHyrW8fi47fJ0Vdr0v7aIPk9lFBx8P8DqPuGmNQXNPEiy4LE101huK8otrhoRG9+QAAAAAHAgwAAACAc+B0+7d27d3Dy5aKATLbN+X9pMG08bS4q6Ru+HFR53eWNHkvhYkuCyuWaS3DkkgAAAASAAEGAAAAwDmIRv/r+MSztXfS3DNLilvVMmGtH3ld3veosJNkuLpt8llJ99Oirof5HYruxsKUVQkTXRZWzPKm9bmlvq62HrNhAQAAUIEAAwAAAODcuL2Buo4pEuCyxtHajqlHBR3lTWOvbL2PCzotFQNvyvqsdSO0HZPeUx9WfNUYJrosrFiNobjEWjM9OSXbCgAAAJwCAQYAAADARRib3SQBflrc9aRIE92Y7j7R58d6aeslExZ7yE4tFf2PC8iBFWulGMTVPKyehRXrefimuRwDoQEAAChAgAEAAABwEYKh8Mj0xpsyk2WQXpf2PSvujjnqC2vPK1tP7OnbKOIaF1bMwoqVvCioa6xvlG0FAAAAdCDAAAAAwE3A7fHvHjhDoYze+BoKR6pbJ5n9kp0+yu94mK9tiNA27Yk9ZabKEyszDStW8iDvbWyl1TPTM7KtAAAAAAQYAAAAuBnMreyVN417fUH5PFOsbh491RdD0odAK75qjCKrcWHFalh9fIzeG8tjS3OZtdTj8ci2AgAAuPVAgAEAAICbgMcXOHZ49MV6M4rL42/rm69tnyyoGuDKKqLIKg+rZ2HF8WHGq+ZVYW1zU4tsKwAAgFsPBBgAAAAAF8cfCNkdnqmF7ebuWeONvs+Ku17beijCVF9au4trBmPiqiWmuKYxVpqFia6Sllhs1srlpSXZXAAAALcbCDAAAAAALk4gGD6yu3cPHLb6kQcW/b5fXVALKvsrm8fqO6Ye6ntq2ya7hxettUNxlmuaeNFlUUSX5a33xvLY0lhmLfX5fLLFAAAAbjEQYAAAAABcnEAwtLFzvLVrn1/ZbeicelnS/aSwQ8jqK1tPXlnfm7LeuvbJzsHFpu6ZhMOkKfGiy6KILguXXpY3hTVtrW2yxQAAAG4xEGAAAAAAXJxIJBoMhkPhyMGxq61v7qW1+1lRp9FdHxV0dA4u9I2t5Fea2a+hUo0iumq468blzduU2irXVldlowEAANxWIMAAAAAAuCyRaNTh8k3Nb72ydkt9PVXcN2V9hdWD1rrhyubx2M6Y4iaKIrosiusaY/DeWJ7kNVSWVWIgNAAA3HIgwAAAAAC4LOFIxOnybewc13dOv7Xc+Dwv6dY2FNc1RhFdFsV1WRTvNSavsLqns1u2GAAAwK0EAgwAAACANBCJRo/s7pq2SaP0vo3iusYoosuiiC6L4rpxeVvZXGqr2Fhfly0GAABw+4AAAwAAACA9hMKR1r65B5Z0eS/FqK9KmOiysGI9TywNFaXlwWBQthgAAMAtAwIMAAAAgLRx4vTmlffF/DbmuizxlquGi2tcmOiqYfXxyS+q7uvtl80FAABwy4AAAwAAACBthCOR8sZRYbmvS3vYjNCK6LJwWeVhosvCilneNJ+mqcxWvruzI1sMAADgNgEBBgAAAEA6WVrff1PW+7ignR6v33spb9VX5pmlrrK0PBwOyxYDAAC4NUCAAQAAAJA2otHoscMzOb/1pKDjoaVNcV0WRVaNYaLLworVKN5rTFFJ9eDAoGw0AACAWwMEGAAAAABpIxyOeLyBE6e3vX+uqnmsrGHkcX57Or2XwupZFNc15mFey2maS62l25ubst0AAABuBxBgAAAAAKQNl9tH9uvzBylzSzsdA/OvS3tS8l4KE10WVsyiuC6LQX1lnlrqK2ylHrdbNh0AAMAtAAIMAAAAgLQRCke8voDD5fN4AwdHztbe2UTq+zi/7UlBu7bNRJcl/lUmUVzXGCa9LG8KaxrrG3AzMAAA3B4gwAAAAABIM+FwxOX2kQkPjK9wXz3Ni+LO17ZurruxKPU8iusaw0TXLFSjpdhaOTI0LNsNAADgpgMBBgAAAED68fmDHq9/dHrNaK2PLK3PCjusNYMFFX1PC9u59IoY6k2iuK4xiuWqkd5rSFOZtWxjfV22GwAAwI0GAgwAAACA9BOJRl0e/96ho6l7mryX3PVRXutrW3dF40h+ee/DvNY0ei9FEV0Wo/HyPLE0lJVYnU6nbDoAAICbCwQYAAAAAOknHI44XF6PL3Bkd1c1jZLiWsp6KU8K2kmDn+S3PS1sfyruAU4exXWNUUSXJU50k+RlfnVtVRVuBgYAgBsPBBgAAAAAaUazX6eX4g8EA8FQ/+jyi+LO50UdBRV9lvLekuqB1t7Zlp6ZouoBrruxKK5rjCK6auL8NpUUlVT19fbJCwAAAHBDgQADAAAAIM2Q9O4dOhwuuR6Sy+0rqup/ZGkrrRtu6poaGF/p6J8rrhl4qA+Nvl7vNaSptKR0bWVFXgMAAICbCAQYAAAAAGlG3ABMAux0+zy+ADnw1MLWyNTawNhyY9dU78hSaf3w69LuJwXt5MBaLqu+Ro+9eHAzMAAA3HggwAAAAABIP4FAiARYWxPY6XW5fZFIhHa6PD6y3+qWsbzynle2Lkt575P81qeFbXXtEwUVvUx6KYrossTpa1qCm4EBAOBmAwEGAAAAQPqJRqPkvWS8chS0R1sW2OP1kwDry/++tdySmoHhydWhiRVLWY/Yo4iumjhrTW+KiitxMzAAANxUIMAAAAAAuBL8gRB5byAYIgF2e/0eb4AceG5p55Gl5bWt62lBm9DdJwVt5Q3D1trBx/pY6KThsprOvGk6TSNuBgYAgJsKBBgAAAAAVwIJ8NGJmwSYvNfl9rk9fnqcWdwuquorqOht7JzsHJij5Jf3vrJ2GUWXlLiqaZQM+XSPIqtpzFvvfZsnefVlJdYTu11eCQAAgJsCBBgAAAAAVwIJ8P6R0+PVvFdMiKVtOL2Tc5uvrJ3kwGX1w2UNw6X1Q08L2mP2S6FDrT0z+RU9XFbTGEV6WV7lV1eVVwSDQXkxAAAAbgQQYAAAAACkjUg0Sq4rtgNBbR6sE6fX4wv4A0FhwqFwxOsLTM1vPi/uELpLG7bawcf5Wn/vI0vr86KOx/ktRVV9L0uoQBHXy0dxXWMe5b1NYXFlZ0eHuBYAAAA3AwgwAAAAANIDGe/mzvHS2h7pbjQaJeN1kP16/f6Adhuw0+WlAiqjp06Xj8rKG4bzy3vJfm11Qw0dk9Uto83dU2X1Q1xZ0xLFdY0xeq8h2s3A87Nz4uoAAADcACDAAAAAALgskUjU6fatbx+R1h4eu1Y2Dk6cnkAgpHX/erXuXxJgYb/ilmB69PgCVU2jbX2zJL0d/bMNHRN9o4sDY8tdg/PPitqEtT7Obyms7C2q6qM8slzoZmDFdVkU6Y3LU0t9aYn16PBQXCYAAIBcBwIMAAAAgMtCuruwsru2dSjGPJMG02M0GnV7tO7fUDhM0ksOHA5HSH0poXCErLisfshS1l3VPNo7Quq71Dey2D+2RBvPi9uFvj4tbBscXx6aWKH9VPk4v/Wt2SaPIrosTHSVNMbyMr+63GrzuN3yUgEAAOQyEGAAAAAAXAoSXX2Es290am1z53h142B7z0476VA4EiElduujoMl6A4GQGP/s8Qbo6ObOkbV24HlRe2ndYGPnZFPXZE3rWHnD0JMCTXRflnTkV/Q0dEy09832jy6RCRdX98dZrmkU1zVGEV2Wt95rjKWwqq6qGhNiAQDADQACDAAAAIA0EA5HNnaOJuc2D46coXBE7NSGRru8Lo+PDJl2hsLhQFBzYG154GCYJJlUmUSXjLegsrdnaKGubTymsq+sndXNo6THRVV9ZfVDFY3DTwvl0GiTKK5rjCK6arj0GvNYnxCrtak5HA6L6wIAAJCjQIABAAAAkAaE9AYCIdH3G4Ok1+3xk/eSIYcj2hBoEmAKKTFVnjg95L2dA3NjM+trmwdj02u22gHhtOS9JL117ePWmgFb3eDj/Lf3AD+2tORX9DwtaLOUdjHXZVFEl4W7rjHkvYY0lpRU9HX3yKsCAACQm0CAAQAAAHC1RCIRt9cvxj/To0efBEsbEa1bMZnwwsru+vYRCfD8yk59+4S41/dJfmtZ/dDg+HL/6NLQxErsxmBKXdtY38hiU+dkSXX/86I2Jr0URXRZuOuyxKuvzBOLNin09OSkvCoAAAA5CAQYAAAAAFeLJsAev8frd7p8Wl9wKEwOTN5LIQH2eANkv9t79tWNg6n5zcbOyZjrinuAe0cWa1rHaNtS3vPG1mWt6a9sHC6s6HlV0vHa2vGSiq/Se2Ohgqd5dWVW28b6urwwAAAAuQYEGAAAAABXSzgS0Se+0u4DJt0lGdYGRZ9Oi+X1BeaXd8h7RyZXB8eXSXdjk109yW99ZGnRFkB60/S6pKOqabi2ZdRS2vXYEnfTryK6arjrGsNEl4UVP7PUlZVYD/b35bUBAADIKSDAAAAAALhywuGImAorEon6A0GSXrE/EAyRDA9PrlS3jPaNLpIDT8yuVzQOCwE+9dtma01/9+BcS/dUe+9MTctocVVfauob564sTHTVsPpYnltqyq1Wp9MpLgEAAEAOAQEGAAAAQCbweANOl5cc2OMLiGWB6ZF2Uo5P3E63j0yYJJmUmJ5WNQ0XVvQ2dEyUVPe39U5T2vtmyuoG80q7alvHiqt680o7Fd2NhSsrCxNdFlbM8tiiJa+wuqqiEgsjAQBAzgEBBgAAAECGINd1OLVlgR0uL23Qo5gOmhI8HQ4dCkciUW3xpJmFre6h+f7RxYGxpabOyRdF7S+K28hvnxe15dk6iyp7Cyt6LGVdT/Nbnhe2XrX3UoT6xlJQXNnU0IiFkQAAILeAAAMAAAAgQ0TJbN2+E6fX49VuAyYH1tQ3GCYNJvX1BzQTpgSCISreO3QMji1pNwaPLZU3DBo6eJteWzvIfhs7J7oH55o6Jworuh9bEhosE10WVqyGea8xJdaKro5OcWkAAAByAggwAAAAADIHWa7TpQkwmTBtUGgP7Y9EIqI32KObMDnw0tqeGPlMrvusoIUJMOWNraO2daS4qqehfSyvtIOLq+K6LKyehbkuj3Z+SoPNWj45Pi4uDQAAQPYDAQYAAABA5tBnvfKFwhHXqQDTnnAkIqIf9Xt9gUg0urqx/1If82wMSW9hZbettv9ZISlx47OC5tK6/sKK7jh3VVzXGGOlGi66aqT6yjzJqy+1li4vLsrLAwAAkN1AgAEAAACQOUhxnW6fmASL7Jd0lzbEekgkwrRfzIYVDkfIkwfGlp6+7fvVBDW/rLOsrr+iYfB5Uautpi+/vIuU+FUJeTLpKHddY8TLk4SLLotBelmeWepLS6y7OzvyCgEAAGQxEGAAAAAAZA4SXfJbenTo3b+ku+KmX4/X79LV16/PDk0bopgc+En8/b2FFd0kwAUVXfRYUt1bVjdQWNHDdDcW4wtNw0WXJd51lTSIvLDUVJSWntjt4hoBAABkLRBgAAAAAGQOctoTp4cUl3TX49X6gYUAB4NhNzmwR+scDobCpMF6gf/E4altGSmsfDvI+Wl+MylxSVVvcWVPvjYLdDOTXpFYvWm46LLEWa5ppPrG8jK/qqqi0uN2y+sEAACQlUCAAQAAAJA5SG7Frb/kvWLAM23rk0L7yI1DYW0sNP1PMKjNC02HSInHZ9Z6h+dbe6aqm4cfW6TfFpR359k6n+a3xIxXhIkuCxddNXGWq4Z7rzH5RZUNtXVYGAkAALIZCDAAAAAAMkckok1/5dCkN0DeSxsnTg/JsBBj0mB/QAyB9ulzY0WohgS4a3C2a2C2vH7AUtr5xtpRUtX7qrittLa/snGInp7pvRQuuixxlquGuy7LE4tMibWqp7NLXioAAIDsAwIMAAAAgAwRjUbJbOXdv3roqXbrr9dPokvx6yYc0CfEikSjlIDeFby4slPdNGyr6SurHahrHW3rnW7umqTHsvqByqah50WtTHdj4aLLEme5arjossS815B6a0l5b0+vvGAAAABZBgQYAAAAABkiEomS9DqcpwLs1vp7SXHJeGmLRJe2/YGQ/hgkH6Y9ZMJhzYWju/sn7b3TDe3j5L19IwudA7ONneNFlT2vre1MeilcdFniLNc03HWNUaQ3Pnl1cGAAAMhaIMAAAAAAyBAktyS9ZLYuj1wEmKLPg6WpLyUSiYh7g6nG7dHmhRZPQ6Gw7sD23uH5/tGFofGlroHZgvKux/ETRHPRVRNnuWq46xrDRVdNXv1pNAfu7+2Tlw0AACBrgAADAAAAIEOQxIYjEdow3AmsTX/l9moLI/kD2ozQwWBIzP+sdf8Gtc5feqSn4XBkRxfgnqH54cnlnqG5vNKOVNU3znLVcNdl4aLL8tZ7jamz2SoG+uDAAACQXUCAAQAAAHANkPQ6XV5yXYqf7NcfJB8mGSY3JtclE/Z4A7GB0HRUjIsWDtw1MDswttjYMZ5f1sld1xguumq46xrDRZeFGy/PU0t9KRwYAACyDAgwAAAAADJNKBwm7z08dtodHhJdMt5AIEQbLo825pl0l6SXQjJM0ktxe/yhMG2H6OjewQk5cPfQHDlwZePg0/ymLPPeBkM0Bx4eHJSXDQAA4LqBAAMAAAAg00SjUXLdE4fH4fQK1yUHpkddg/1iQiyKW78TWN+j9QCTNtNO0uD9I0ffyDxpcEf/dFl9//PCltTUl7uuMVx01Siua0y89xpTX2otnxyfkFcOAADgWoEAAwAAAOAaCIbCJLfkvWIlJG2EszbsWXNdYcJ0lA6JPeIQFYvFgenlh8fOkcnlps5xW21fcVXPi8KW5wUtzwqaFemlcNdl4aLLoriuMYruqql/ll9ns5bCgQEAIBuAAAMAAADgOiGndTi9J04Pea9LN14pvYEgGS/F59cmhaYIH9YdOOpweXsG56qbhl+VtJHl5pd1VjYOvSpuNarvE0tjeX3/GysVcOmlcNFlUVyXRRFdFu0e4FjgwAAAkCVAgAEAAABwzYgBz/qKv5FAUFsTOBAIhULa5M8U0l06oOmx20ePbo8/Eo1SzczCZkXDYGFFV56tgwS4s3+mqXNCGw6t++3rkjay3+qmIVtN77OCpmvxXmPIgUttZdOTk/KaAQAAXAcQYAAAAABcG/q8Vtpsz+K+X0199dWAgyHtdl9yXbFUEm1TJVkxRZsyOqCtluTzBydn1/uG59t6plq6Jwf09YHbe6del7Q+0e4HbiA3fpYv1ZeLrhrFdY1RRJclznXVPNPzPL+uzFYOBwYAgGsEAgwAAACAayMYDLs9PofTc+L0ON1el0fr4yXLjUajJLr6wkh+l9vndGlzZdFR2iYfpkd6STgcObK7egZnO/unuwdm+0fmx6ZWBscWW7snbTW9JL35ZZ3PC5q56LIormuMIrpq4kSXRXivMXBgAAC4XiDAAAAAALhm9Dt+tR5dslyK6PIlN6adYhQ0CfDxiZt0lzZIlcXOSCS6d3AyNL40s7BBAtzRN907PEcaXN82qncCK65rjOK6LIrossSJLguTXhbhwIvzC/LiAQAAZBAIMAAAAACyC7FKMPmwmAuaNuiRtsWwZ60rWO8TDobCu/t2YbwV9f2FFV0Ua02PpbSd624siuiyKKLLEie6apjrKqkTeWGpKbWWriwtywsGAACQKSDAAAAAAMgiIpGIdpevPyhGO1Nog9RX3CccjcoJsRxODz0lVd7aPbJW91Q2DjS0j+aXdTDjfVl0OgQ6XnSf5ze+LGx6XtAoniqiyxJnuWoU0WWR3msMHBgAAK4FCDAAAAAAsoVAIOR0eUVIfbUpr/QVgCkOl5ekl/aLHmAxdRZt+3yBxdWd4Yml/pH5jv7pmPpSiiq7Siq78kvbSXdj6ktCS3sq6vuLK7vyrK3xoqsmTnRZFNFl4dLLIhx4bWVFXjwAAICrBwIMAAAAgGwhHIloruuUDhzr+6Vtsl/RJ+z2iEmhZRexeLQ73INji5390609k+29kwWl7eS6L4uaSX2LKjqLKzpjAvzG2lrbPGSxtb0obFJ0NxbuusYooquGu26ikAOXWUsxJxYAAGQMCDAAAAAAsoVAMERyKyzX7dFu9KUNsZ+eBkNhbSC03utL+6mMnlIC+vJI23vHU3Pr/cNz9W0j5LfkuvRYVttLKSjTfJjyLL+xsLyzunGQHLi+ddgovaTKTHTVKKLLwv02lTzPr7VZS4cHB8UnAAAA4EqBAAMAAAAgWyDFpcdIJHJ47Jxf3t47ONnePSbRDYe1lYEj0Wg4EnG5SXw1Dab9Pn+Q9pMeuzy+aDRKGtw3PPeioOlNSWt+aXtlQ39FfR/lzelQ5+LKrtKa3u7BmcGxRToqduZZW54XNFqrupjuxqKILgt32nPluZZaW0l5Z0dHOKxdPgAAgKsDAgwAAACA68cfCJLLOpyeI7tzcWWnb2R+YHRhdGpldWP/+MRFR72+AIkuGS8JsBgCHQqH9b5ibU1gEuBIJErn2T88aeoYbe4ca+4cb+2eqG8bqajv13t3GwrKOmiPNky6e6Ksro+kt6iig1Ja28OMV0QR3fqXhY2Gp1xlzxXde+NSVFzeVN9An4L4QAAAAFwFEGAAAAAAXCeRSIQeN7YPp+bWxXRWMwubZL+zi5u0TY8Olzb3FT2S+uqPPm3uK31yLDEtlgidh9jdt49OLlPGppbHp1dId0mGXxY2kwC/LGpu75nsHpjpG55r75noHpju7J8iWy6p7Hpd0pLEe2OxVnW9KCAH5jabepj0shQUVdRWVnncbvHJAAAASDsQYAAAAABcD9okz3rXLonr5s7h3OLW4so2OfD4zGr/yPzo1PLQ+OLewQnV+PwBl8dHAkwbMe8NBLWVgeko7dGVWEtAuyVYWzeYPNnp9pL9VjbIHmCS2/zSto6+qYHReXJgCm30DM5Yq7tLa3sKyztsVV0l2oxZHa+Kml4VNr0paX5Z0Kgbbz1tPM8nB+ZCm3qY6yqpFckvrKgsLT2x2+VnBAAAIK1AgAEAAABwDYTDEfJYbfSy23vi9EzNr88tbU3MrpED0+PY9AqFTHh+efvgyOH3B0mSSXRDYW0eLOHAYiC08F5yXVJiOhWdlk4ejWrDoUmwSaFJcSvq+/KsLaU1PVWN/QPa4Or58ZmViZnVobGFlq4xMt58W6uturtvaLapY3RgZK53aKZ/eK61a7ylc6yiriff1lJZ3/uysKGwrO3FOTVYEV0W6b3GvMmvqLCVHuzv658TAACAdAIBBgAAAEBGiUSjelettsav6AQeHFuYWdhYWNmeW9ykbZLhlY292cXNydk1XVZXfX6to9jl9rk8PrceehU9kglT6DxiD52NnpIG02MwFKad9PLmzrGa5sGWrvGugelBXX1X1nc3dw5394/nl7fIgfuGZ8l123smhBvTnomZlZ7B6bqWwfae8aqGPhLg10XayGeLrSXFfmBFdNVw7zXmdX5VudW2sb4uPzIAAABpAgIMAAAAgEwjemgjkUggGNrePRqbXlle210kAV7amppbn5pbm5xdpacjE0td/dPLazuksk6XNveVNrBZv+NXk+dgiJ46nB59PqxImM4W0FZRoqMOl4dcms7T1DEq7ux9XqANga6o75tb3NjZO9o7sK9t7q9v7k/Pr/ePzLV0jnX1T/UPz/UNzZIP057mjtGm9pHCsjaSXia3SaJYrhruusa8yK+L5XV+dZm1dH52TnxiAAAA0gIEGAAAAADXgMvj29w5nJpfH55YWlzdIe9dWd/T+oGXtX7gsakV0teh8cXh8cWl1R2X23tw5BDqq4121kP2q/f9arf7kgCLcdFUIHqG9w9P9EmwpvKscoIrMZEVaS2dkNR3a+eQMr+8RZmhZowviIxMLA6NzVNZbfNAXfPgi4L6VHp9FdFl4a5rjNF7jXmVX1NqLRsZHpYfGQAAgEsDAQYAAABARolGo/5AcHJujbKwsk3+OT2/TgI8u7hJajq/tEWPa3rf7MjE0sTM6sjkMgmw6O/16R28McsVe4IhOfL59E5gbZpoeiPaqGsdep7fINRXpKqhf2JmZXV9j7K2sbewvLW8trO+tb+5fbC9e0RKvLa5p3c+L45NLfcMTrd0jpZWdxWWtZHlviigU6XNeynMeFn0As2Bezq7sEQwAABcnrmZGQgwAAAAADJKKBQ+PHbOLW4K1yX/pI25pc2ZhY3x6ZWF5W2yX9pP6ru8tjs2vTI4tmA/cZPikuvSoxBg0l3NeF1ecRex6PsVAqxV+rVFg0mDqxv7rfrczraqrrKanpausb6h2Zn59cWVLbLf1fVdetzY2j86dlIOjx27+/aVtR3aOU/tmV/vHtDuBC6r7bZVd70oqC+p7BCTYCmiq4a7rjFMdFlY8XNLjdVa0dbcgiWCAQDgMkyMjZVbrRBgAAAAAGQUUlbS1MnZVTLexdUdepxd2CAfpo3p+XVS38WVbdqYnltf39wfnVomB6bH7d0jfbSz7PsV6kuWS/YbDIXIjYUP0yF6i2Ao7HB5qPLY7ursm+odmqltHmzpHBsYmRd3F5PfrqzvUki/SYbp6cbWwc7eMTkwvdHaptY5PDa11DM4XV7bQ8b7uqixqLydzPZlQX286LIwd40LE101rN6Y4pKKuppan88nPkMAAADnoq+np8xqtRUVQYABAAAAkCGi0Wg4EgmFiQiJ7uDYAqnvqjYOeZsUd3Zxc3ltd3J2bX55a3x6lR5p//D4EoV2Hhw5SGvpDCS9oo+X/Jak1+sL0Nm0/l59OmjaQ0dJiV36dFn0plu7R+V1vTVNA9WN/U0dIyTAJL2b2wf7hyck2GNTy90D0+0946OTS6TBS6vbZMXrW/vzy5u0hwS4oq63sKytqr7XWtlhKWkur+0mGc6Y9+qpESkoKq8qr3A6neLDBAAAkAr0fzntzc3luv1CgAEAAACQOTQB1qdr3tw+HJ1cJt2dX9oiuV1c2SbXpe31rQNtaPTylpgCmjI8vjg0tkCySoobCGiLIfn0NYHpVOTApLhCg2mDQg5MT8W22EkvISvu7JssKm9v6dKmeiatJcUVM2CRCdP527rHGtqGqYYyNDY/MrE4Mb3SPzLXPzzb3T/VPTCl9wN3t3SOtneP17cMltV0vcgX/cDMVHmY6LKwYiXSe43Jyy8vs1qPDg/lBwoAACApwWCwqa6urKRE2C8EGAAAAAAZhQSY7PXgyEFyu765T6I7Pr1CDjy7uDm3tLWyvjcxs7qwsr2xfTg9vz42tTwyubS0ukO+S+orRjVr9/fqyx15vH7xKHRXjzb9Vcx+6ZFsmd6RXkVm29g+PDAyt7K243B6dvaOSGt7h2b6hmYs1paC0taXhQ3P8+ubO0ZJdCmDo3NUPDgyRy/s6JkgSW7vGe/snRweW6hu6FNkNS5MdFlYsVm49xrzpqCi3GpbnF+QHygAAIAEeNzuuurq0uLimP1CgAEAAACQaaLRqN3hHh5fWl7T7sJd3djrH5mfnju9+3duXR+KvDMwOt87NDswMr9/eBIKh4XrBkNh4cCa/eoDoUlx6ZAISS/JLRWQ+DpdHhJgeqH+NGA/cW3tHB7ZnbQzGAxRGZ1278De1T9VVttd1zJIelzT2N/VN9nZO1HfMkjbFNogQx4jCdcatjYxvdw/PFNW0/VKuxOYWWvahjqb5kX+27wqqCorsfV2dWNqaAAASMTR4WFlaalRfUUgwAAAAADINIFAaHJ2bXBscWpujTR4en59bmlzbXN/fnmLfJgceHJ2lR4Hxxa6+qe3d4/8ZLl6fy/prkM3WxHaFsOeY3tIfWPbdNRHL9G7jukpObM/ENT8WZ8xSyi03eEi356aXV1Y3iTLnZlfI9HtH55tah+mdPRMkACPT5EAU8N21ze1mbFaO0drm/oLy1qFuDLLVWNQXNNw12Uxqq8h1SXFZXU1tbglGAAAVBbn57WbfgsLmf1SIMAAAAAAyDShsDZLs+bAowsr63sz+mhneiQZXlzZFvNU0dG5xU0yZKc+l1UkGtWcVu/g1Xp6XR4yWE1ifQHSWqfLQ6FDpNZan/DpLFnCcoUPU+S4aF+Ador6w2PHxPTKytrO7t7x7v7x/oH92K71FZPuzi2skxgPjc71D89MTC8va/Nj7UzNrtBTcuPS6k4muiyK6LJw0WVRjDc+VGCpsRSUV9hKtzc3xacKAAAgHA73dnaWG276ZYEAAwAAAOAaCIa0Uc1kudr0y8tb2jJI83rH7/z6gtYTuz48vjgxs+pyy4V/IpGINqNVIBiJROm1tEESS2fQ7gfWFVdIr357sPZUnzFL6xym/cKZaafd4To6doptETLq2YX1gZE5rRmLm+ub+zt7R2TC9Li2sbu8tj08vkDG2z88SyY8qKe9Z7yovK28tvtVYQOTXooiumq46xrDRZdF915jXlsqy0qs46Nj4lMCAIDbjMftrq+uNk55pQYCDAAAAIBrgKQ0Go2Siw6NLcwsbJDxismfyYRpz/j0itbN6/SQ0Eb0uaM9XrJb7XZfst+QLs8OvdeXJFb0A1Ol2KD9JL3BkPaUjtIb0SG9i1j2AFON36+5NBmyGA69uLI1OrnYMzA1MDK7srZD9ru6sUvS2zc03Ts4PTKxQBkam6eQADd3jJAAF9haisvbzqO+3HWN4aKrJt57jXmZX2OzljU3NgaDQfnhAgDA7WN3Zye5+opAgAEAAABwDYRIaqNRUtn9w5O1zX2S3onpldHJpcnZVfJPslbtvl99jV8qpkexoBE90iEyW6G+4lHcGHy6X7sNWPQPa93F0WhQXzdYVNI2ibE4iainnRSyanq6ur67vXtITz1e7aZi/abf/fGppd6h6f7hmZHxBZLk1q7R8trufFtzWryXwkWXJd51WUh9YykqKq8sLcMKSQCA28nUxESim35ZIMAAAAAAuDai0Sg9kugeHDlOnO6jYyeprDikrWAU0eyX0GeB1u74JY8V81qJvlzao3f2alM9O5zaXcEkt1R/KrraaklUJuyXLFdINRWLPYdHDjEvtHY0QDIeFkocOzmdam1jd3B0juyXHHhgZJa2qxt6s8d7jcnLxwpJAIBbRzAY7Ghr0+xXcV3TQIABAAAAcG2QlJLByifxCDcWkPFqchsMkZeSvopHYcJCa8V4Znokj6VdVCxkmAqEA1OojHZqnuzxkR7THrJf+4nr9KhcUphCJ3frO+mcewf2qdnVmfm1sclFSt/QTGPbUHF5m2K8sXDXNYaLLku86Kphxquk+nVBZam1FCskAQBuCSd2e21FBVvpN3kgwAAAAAC4NsKRiBjkzCD7DRkUjrb17lw/RXTPkqPSC4UA+/xahzBt6AarrwPs1W7u1WQ4qPUDC8Wl1wrvVXNsd5443EJ66VT0cpJkOhWdkLZX1nYmZ1YGR+fIfkl9C8taXxaoPcDcdY3hoqsmXnRZFNFlqY5PVUlJeT1WSAIA3HQ21tdTuemXBQIMAAAAgBwgGAqLNZC8WqeuNuEzqSn5qujXpQ16FAJM20KVxX6qFForOodPn2pzYtEGhc7gcLrp5Nq2PtG02E/vFdT9WfQhT0wv9w1N5xU3pu69FC66LPGiy6KIrhqmvm9jyS/DCkkAgBvM8OBg6sOejYEAAwAAACAHEF4qzJbUlPRVj+axJLrBkNRUUUN7tF5cLXKmK3qJ1ldMD1pHMVm0dhJRL18l6j0+ve9Xr9ffkQQ4Go3Sdt/QTGVdT1FZ61V7L0URXRauu8a8Os2b/Ioya+n4GFZIAgDcKHw+X1N9fdmF7JcCAQYAAABADhAOR8hRyXKF0FJEZy+JcSSiLZJEEcqqH5Ju7PdrKx7RHjpK9isehd8KT6Zt8RI6D+10OLUllMh4SZLpDFRD9eubexMzy5X1PWeqLxddlnjLVaOILgt3XWNi3mvM6/xqm7W0pbEJKyQBAG4GG+vrFTYbc9pzBQIMAAAAgBxAl1J/KBQmIxWKSzJMVkwhd9X6b/UeXVJW0mDNb3VbphcGQ9oiwIfHDiHMpzf6aqIrBDjmwMKK6S1CYX2p4dMB1XsH9q2dg8WVLVtVx6vCOia9FJJbS0mDtbItTneNiRddFkV0WbjrsjDpVYMVkgAAN4BgMNjX03OxYc/GQIABAAAAkBuQl+ruqg1X1mVVuxlYuKtfv7OXdgaCoUhE6ysmH9ZkOKhNnUWiK27xpdeSP1MZbZAJU4T9ku7GZoEWgk01eplHOLCYrKu7f7Kkoo2pr8jLgtrXRXWxpzLxosuiiK4a7rrGMMtNHkt+eWlJCYZDAwBylKPDw6ry8gsPezYGAgwAAACAHCAajYrBzMJ+KUJohaOKkKaKW3xJZcl9qV5XXI8Y3ixcVzxS7Ccuu0OugRQMhaiAVJleFvNeCmmz1qNMGh0K7+wd5duamPeaJ1501Siiy8Jd1xhmtqnndX5VqbWsqb4es0MDAHKLqYmJy3f8xgIBBgAAAEAOQA7qIRv1a6Od6VFb30if1Er09IpbdklWyXi1yaLFkObTqaG1l5zeHkwR2kwvpMhtXarpELmuOBXFqy2kFKSacDhCTxvbBrnosiiiy6KILgt3XWOYzZ4/VSL5BWXlNtvM1LT8WAEAIItxOp1N9fVptF8KBBgAAAAAOQDJLYmuPgmWTxuxrPfKaj29eg+t8FtdXDXvpUohtPRIh6iWqsXLqYCcVu/m1WT4yO60n7ioSJxBdPZGIhHthf6Athyx/nRlfadnYLKrb7yqvruwtNlS0vCyoDZF9VVEl4W7LouisueK9F5jXudXoisYAJD9rCwtXXK+K9NAgAEAAACQA5CakqBqfb+BUDgcpg2tizZI2xEyW73DVpNeUmISVtrW7Fc3YTpExeSxwofpJXrXbkiTXn1MtfZafcYsKqaX+3wBMl56XFrZ6uqfGBiZ6RuaHhqbIwGurO8uqWitqO0qKm8pLm8pKW8tLmthuhuLIrpquOsao6jsecO915jX+VUFBaUVttK1lRX5+QIAQNYQDAZ7OjvLr8B+KRBgAAAAAOQGwmbJfklnhd+K4c30KAYqi15cKtNtVrublypJZWlPMBjSpFcfMk0noUe9T1hMKC1mhBY3FUuRprOtrO9YrI2ij/dVoTbHVVFZc3ltp7WirbSq3VLcQMkrbmDeS1FEl4W7rjGKx5433HWNIe815k1BZZmtrL2l1efzyY8YAACum4P9/crS0rKSEiau6QoEGAAAAAC5gd8fFPf3kq+KAcxkvLQdCodF/zC5Kz1SyGJ1ldVv4tXvGaayQDDk18dRxxyYRJc2hPdSNVWKbSomzabK1fWdls7h2Djnl/m1xeWtJeWtVfU9bwrrjdKrH32bN4V1rwpqjXuY6LIoHnvecNdlYeprTGFRGbqCAQDZAP2Hd2JsrPzK1FcEAgwAAACA3CAajZKakqOSy1LE+GfyVVJi2iabpUMkvbRHaC3tEU6rvcQfjEQi4UhEaHCsvzf2SNEHRQfIsbUtvYxCm8Nj81X13VV13ZV13daKtnxrI5mwqffGUlrVnldUr29z12VRVPZc4aLLwlxXSaXIm4KKshJbZ3t7MBiUnzUAAGSWo8PD2srKtCx0lDwQYAAAAADkDOTAmtZ6fD5fgOyXHklcyXIDAW1QNKksbevjn7WFfwOBoLZ4kt45TJWhUJie0qu0l+i2TCF5FuasvVbvEKanYoi12KYXBnW7npheKi5reVNYb6tsL63qKKtut1W1Kd28xnDXNUZR2fOGu64xiuiySO+NT0VJcXllaenuzo78rAEAICOEw+GxkRFtqufCQiarVxEIMAAAAAByhkgkqt36qzuw8FgyXnr0a3NBh0RfbuzOXtqpzxRNNdrE0RTaQ4eEQmvGS6XBINlybCfpLkmyps365NL6ht7bHAgeHJ1U1WlTQBfammyVbQXWRhLgvGLRzZsT3kth0huXNwVVloLycmtpf28vuoIBAJlhd2fnSu/4VQMBBgAAAEAuIXp0yVd1y9VEV482yJlkWPT0+nTRFYOZqV6MaY7os0PTRlBfQJgKaD/toW06gybAXr82TFq/o5jUl3yYNsT9w3RO+4mrvXuU7FcxXhHuuiyKyp4r3HVZFNFl4a5rDHlvfCpLSirQFQwAuGrov8W93d0VVz/mmQUCDAAAAIAcIxgKkawKASaDJXcVGizMNjbfFRXoNdqkVqS9ZLaktfRaslnaKWyZHFjU0GtDYW2pJHJlocS0TU/oUfQMU+XM3GpxecvN8F6Kor5vYykoLyuxjo+N0YcmP3QAAEgfaysr5SUlmez4jQUCDAAAAIAcgzw2HI4EAkHdY32krGIAM23THpJVOkTuSopLT+kQhQRYM16/psdiJi2huEfHDvuJizaoRvQGUxmdnLYptNNFZfo5xZ3Aswtrbwrrzl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Note that StartModule and StartFunction fields are inferred, they might be empty if the starting address is outside loaded modules or known exported functions.\\t |\\n| \\t9\\t | \\tRawAccessRead\\t | \\tThe RawAccessRead event detects when a process conducts reading operations from the drive using the \\\\\\\\\\\\\\\\.\\\\ denotation. This technique is often used by malware for data exfiltration of files that are locked for reading, as well as to avoid file access auditing tools. The event indicates the source process and target device.\\t |\\n| \\t10\\t | \\tProcessAccess\\t | \\tThe process accessed event reports when a process opens another process, an operation thatโ€™s often followed by information queries or reading and writing the address space of the target process. This enables detection of hacking tools that read the memory contents of processes like Local Security Authority (Lsass.exe) in order to steal credentials for use in Pass-the-Hash attacks. 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{"excludedObjects":[],"excludedObjectsCount":0,"exportedCount":41,"missingRefCount":0,"missingReferences":[]} \ No newline at end of file diff --git a/Chapter 4 Files/export_dashboards.py b/Chapter 4 Files/export_dashboards.py deleted file mode 100644 index 5cfe2367..00000000 --- a/Chapter 4 Files/export_dashboards.py +++ /dev/null @@ -1,165 +0,0 @@ -#!/usr/bin/env python3 -import argparse -import base64 -import json -import os -import re -import requests -from pathlib import Path -from urllib3.exceptions import InsecureRequestWarning - -# Suppress the InsecureRequestWarning (We are using a self-signed cert) -requests.packages.urllib3.disable_warnings(InsecureRequestWarning) - -ALL = 'all' - - -class Api: - def __init__(self, args): - self.ids = None - self.basic_auth = self.get_basic_auth(args.user, args.password) - self.root_url = f'https://{args.host}:{args.port}' - - def export_dashboards(self): - self.set_ids() - self.export_selected_dashboard(self.select_dashboard()) - - @staticmethod - def get_basic_auth(username, password): - return base64.b64encode(f"{username}:{password}".encode()).decode() - - def get_ids(self): - url = f'{self.root_url}/api/kibana/management/saved_objects/_find?perPage=500&page=1&fields=id&type=dashboard&sortField=updated_at&sortOrder=desc' - - try: - response = requests.get(url, headers={'Authorization': f'Basic {self.basic_auth}'}, verify=False) - - if response.status_code == 200: - data = response.json() - ids = {item['id']: item['meta']['title'] for item in data.get('saved_objects', [])} - return ids - else: - print(f"HTTP request failed with status code: {response.status_code}") - print(response.text) - return {} - except Exception as e: - print(f"An error occurred: {str(e)}") - return {} - - def set_ids(self, ids=None): - if ids is None: - ids = self.get_ids() - self.ids = ids - - def select_dashboard(self): - print("Please select a dashboard ID:") - item = 1 - choices = {} - - # Iterate through ids and display them with corresponding numbers - for this_id, title in self.ids.items(): - print(item, this_id, title) - choices[item] = this_id - item += 1 - - if item == 1: - print("I could not find any dashboards") - return - - choices[item] = ALL - print(item, "Select all dashboards") - - # Ask the user to select a number - while True: - try: - choice = int(input("Select a number: ")) - if choice in choices: - selected_id = choices[choice] - if selected_id == ALL: - return ALL # Return 'all' if the user selects all dashboards - else: - return selected_id # Return the selected dashboard ID - else: - print("Invalid choice. Please select a valid number.") - except ValueError: - print("Invalid input. Please enter a number.") - - def export_selected_dashboard(self, selected_dashboard): - if selected_dashboard == ALL: - print("You selected to export all dashboards") - self.dump_all_dashboards() - else: - print(f"You selected dashboard ID: {selected_dashboard}") - self.dump_dashboard(selected_dashboard) - - def dump_dashboard(self, selected_id): - print(f"Dumping dashboard: {selected_id}: {self.ids[selected_id]}...") - # Dumping dashboard: e5f203f0-6182-11ee-b035-d5f231e90733: User Security - - dashboard_json = self.get_dashboard_json(selected_id) - - if dashboard_json is not None: - script_dir = os.path.dirname(os.path.abspath(__file__)) - export_path = Path(script_dir) / 'exported' - os.makedirs(export_path, exist_ok=True) - - filename = re.sub(r"\W+", "_", self.ids[selected_id].lower()) + ".dumped.ndjson" - - print(f"Writing to file {filename}") - export_path = export_path / filename - - Api.write_to_file(export_path, dashboard_json) - return - - print("There was a problem dumping the dashboard") - - def dump_all_dashboards(self): - for this_id in self.ids: - self.dump_dashboard(this_id) - - def get_dashboard_json(self, selected_id): - url = f'{self.root_url}/api/saved_objects/_export' - data = { - "objects": [{"id": selected_id, "type": "dashboard"}], - "includeReferencesDeep": True - } - headers = { - "kbn-xsrf": "true", - 'Authorization': f'Basic {self.basic_auth}' - } - try: - response = requests.post(url, headers=headers, json=data, verify=False) - - if response.status_code == 200: - return response.text - else: - print(f"HTTP request failed with status code: {response.status_code}") - print(response.text) - return None - - except Exception as e: - print(f"An error occurred: {str(e)}") - return None - - @staticmethod - def write_to_file(filename, content): - with open(filename, 'w') as file: - file.write(content) - - -def main(): - # Define command-line arguments with defaults - parser = argparse.ArgumentParser(description='Retrieve IDs from Elasticsearch') - parser.add_argument('-u', '--user', required=True, help='Elasticsearch username') - parser.add_argument('-p', '--password', required=True, help='Elasticsearch password') - parser.add_argument('--host', default='localhost', help='Elasticsearch host (default: localhost)') - parser.add_argument('--port', default='443', help='Elasticsearch port (default: 443)') - args = parser.parse_args() - - api = Api(args) - - api.export_dashboards() - - -if __name__ == '__main__': - main() diff --git a/Chapter 4 Files/requirements.txt b/Chapter 4 Files/requirements.txt deleted file mode 100644 index 345bc273..00000000 --- a/Chapter 4 Files/requirements.txt +++ /dev/null @@ -1,2 +0,0 @@ -requests -urllib3 \ No newline at end of file diff --git a/RELEASES.md b/RELEASES.md deleted file mode 100644 index a1e6c27c..00000000 --- a/RELEASES.md +++ /dev/null @@ -1,43 +0,0 @@ -# Release Workflow: - -## SEMVER Number Decisions - -Our versioning scheme for LME adheres to [SEMVER 2.0](https://semver.org/): X.Y.Z (Major.Minor.Patch). -The patch versions will generally adhere to the following guidelines: -1. Major SEMVER: Denotes a major release, e.g., a new capability, or LME architecture change. -2. Minor SEMVER: Denotes updates which are less than major but introduces noticeable changes. -3. Patch SEMVER: Fix bug issues or vulnerability issues but do not introduce new features or updates. - -### Timelines - -Development lifecycle timelines will vary depending on project goals, tasking, community contributions, and vision. - - -## Current Release Branch: -To determine the current release branch, it will either be clearly documented in our wiki or on our public [project](https://github.com/orgs/cisagov/projects/68) board. The below example can also be used to determine our current release branch. - -- For example, if the current latest release (as seen on the main [README](/README.md)) version `1.1.0`, and the `release-*` branches are: `release-1.1.1` and `release-1.2.0` then the `1.2.0` branch would be the branch where submit the PR, since it is the closest release that is a Major or Minor release, while 1.1.1 is a patch release. - -- All `release-*` have various branch protections enabled, and will require review by the development team before being merged. -The team requests a brief description if one submits a fix for a current issue on the public project, that context will allow us to help determine if it warrants inclusion. If the PR is well documented following our processes in our CONTRIBUTING.md, it will most likely be worked into LME. We value inclusion and recognize the importance of the open-source community. - -## Content: - -Each release generally notes the Additions, Changes, and Fixes addressed in the release and the contributors that provided code for the release. Additionally, relevant builds of the release will be attached with the release. Tagging the release will correspond with its originating branch's SEMVER number. - -## Update Process: -Developments and changes will accrue in a release-X.Y.Z branch according to the level of the release as documented in [Pull Requests](#pull-requests). The process of merging all changes into a release branch and preparing it for release is documented below. - -### Code Freeze: -Each code freeze will have an announced end date/time in accordance with our public [project](https://github.com/orgs/cisagov/projects/68). Any PRs with new content will need to be in by the announced time in order to be included into the release. - -### Steps: - -1. Goals/changes/updates to LME will be tracked in LME's public [project](https://github.com/orgs/cisagov/projects/68). These updates to LME will be tracked by pull requests (and may be backed by corresponding issues for documentation purposes for documentation purposes) to a specific `release-X.Y.Z` branch. -2. As commits are pushed to the PRs set to pull into a release branch, we will determine a time to cease developments. When its determined the features developed in a `release` branch meet a goal or publish point, we will merge all the release's PR's into one combined state onto the `release-.X.Y.Z` branch. This will make sure all testing happens from a unified branch state, and will minimize the number of merge conflicts that occur, easing coordination of merge conflicts. -3. Once all work has been merged into an initial release, we will mark the pull request for the release with a `code freeze` label to denote that the release is no longer excepting new features/developments/etc...., all PRs that commit to the release branch should only be to fix breaking changes or failed tests. Weโ€™ll also invite the community to pull the frozen `release` branch to test and validate if the new changes cause issues in their environment. -4. Finally, when all testing and community feedback is complete we'll merge into main with a new tag denoting the `release-X.Y.Z` SEMVER value `X.Y.Z`. - -### Caveats: -Major or Minor SEMVER LME versions will only be pushed to `main` with testing and validation of code to ensure stability and compatibility. However, new major changes will not always be backwards compatible. - diff --git a/docs/markdown/chapter4.md b/docs/markdown/chapter4.md index 3ff281f1..1a763a5c 100644 --- a/docs/markdown/chapter4.md +++ b/docs/markdown/chapter4.md @@ -29,7 +29,7 @@ sudo ./dashboard_update.sh ### 4.1.2 Check you are receiving logs -While on the Elastic home page, click on the hamburger icon on the left, then under "Analytics," find and click "Dashboard." From there, find and select "User Security." This will show a dashboard similar to Figure 2. +While on the Elastic home page, click on the hamburger icon on the left, then under "Analytics," find and click "Dashboard." From there, find and select "NEW - User Security." This will show a dashboard similar to Figure 2.

@@ -60,7 +60,7 @@ From here, ensure that the maximum number of rows is shown so that all of the re ![Enable siem](/docs/imgs/siem5.png) -Lastly, select all of the displayed rules, expand "Bulk actions" and choose "Enable": +Lastly, select all of the displayed rules, expand "Bulk actions" and choose "Activate selected": ![Enable siem](/docs/imgs/alert-enable-menu.png) @@ -103,7 +103,7 @@ If you have never used Kibana before, Elasticsearch has provided a number of vid Kibana comes with many useful features. In particular, make note of the following: ### 4.3.1 Dashboards -Found under both "Analytics" -> "Dashboard," dashboards are a great way to visualize LME data. LME comes with several dashboards. Take some time to get familiar with the different dashboards already available. If interested in creating custom dashboards, see the link above for some starting points offered by Elasticsearch. +Found under both "Analytics" -> "Dashboard" and "Security" -> "Dashboard," dashboards are a great way to visualize LME data. LME comes with around many dashboards. Take some time to get familiar with the different dashboards already available. If interested in creating custom dashboards, see the link above for some starting points offered by Elasticsearch. ### 4.3.2 Discover Found under "Analytics" -> "Discover," Discover allows you view raw events and craft custom filters to find events of interest. For example, to inspect all DNS queries made on a computer named "Example-1," you could insert the following query where it says "Filter your data using KQL syntax": diff --git a/docs/markdown/logging-guidance/filtering.md b/docs/markdown/logging-guidance/filtering.md deleted file mode 100644 index b279947c..00000000 --- a/docs/markdown/logging-guidance/filtering.md +++ /dev/null @@ -1,52 +0,0 @@ -# Filtering logs: - -There may come a time where a log is not particularly useful or an aspect of LME proves overly verbose (e.g.: [Dashboard spamming events](https://github.com/cisagov/LME/issues/22). We try our best to make everything useful by default but cannot predict every eventuality since all environments will be different. So to enable users to make the LME system more useful (and hopefully commit their own pull requests back with updates :) ), we are documenting here how you can filter out logs in the: - -1. Dashbaord -2. Host logging utility (e.g. winlogbeat) -3. Serverside (e.g. logstash) - -Have fun reading and applying these concepts - -## Dashboard: - -The below example shows a filter that can be applied to a search, and saved with a dashboard to filter out unneeded windows event log [4624](https://www.ultimatewindowssecurity.com/securitylog/encyclopedia/event.aspx?eventID=4624) with a TargetUserName field that has a `$ `. -``` -{ - "bool": { - "filter": [ - { - "match_phrase": { - "event.code": "4624" - } - } - ], - "must_not": [ - { - "regexp": { - "winlog.event_data.TargetUserName": ".*$.*" - } - } - ] - } -} -``` - -To Add: -1. Click the `Add filter`: -2. Click `Edit as DSL` to add a regexp filter: - -More resources on this topic can be found here, and there are many more relevant examples on stackoverflow: - - https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html - - https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-query-string-query.html#query-string-syntax - - https://www.elastic.co/guide/en/elasticsearch/reference/current/regexp-syntax.html - -## Host Side: -``` -TBD Pending testing -``` - -## Server Side: -``` -TBD Pending testing -``` diff --git a/docs/markdown/prerequisites.md b/docs/markdown/prerequisites.md index fc54e515..1f265ddd 100644 --- a/docs/markdown/prerequisites.md +++ b/docs/markdown/prerequisites.md @@ -66,8 +66,8 @@ To begin your Logging Made Easy installation, you will need access to (or creati ### Minimum Hardware Requirements: - CPU: 2 processor cores, - MEMORY: 16GB RAM, (32GB+ recommended by [Elastic](https://www.elastic.co/guide/en/cloud-enterprise/current/ece-hardware-prereq.html)), - - STORAGE: dedicated 128GB storage for ELK (not including storage for OS and other files) - - This is estimated to only support ~17 clients of log streaming data/day, and Elasticsearch will automatically purge old logs to make space for new ones. We **highly** suggest more storage than 128GB for any other sized enterprise network. + - STORAGE: dedicated 90GB storage for ELK (not including storage for OS and other files) + - This is estimated to only support ~17 clients of log streaming data/day, and Elasticsearch will automatically purge old logs to make space for new ones. We **highly** suggest more storage than 90GB for any other sized enterprise network. ### Notes: * **DO NOT install Docker from the "Featured Snaps" section of the Ubuntu Server install procedure, we install the Docker community edition later.** diff --git a/docs/markdown/reference/troubleshooting.md b/docs/markdown/reference/troubleshooting.md index fa571117..e3cbf4fe 100644 --- a/docs/markdown/reference/troubleshooting.md +++ b/docs/markdown/reference/troubleshooting.md @@ -89,53 +89,7 @@ By default the `ForwardedEvents` maximum log size is around 20MB so events will ### Events not forwarding from Domain Controllers Please be aware that Logging Made Easy does not currently support logging Domain Controllers, and the log volumes may be significant from servers with this role. If you wish to proceed forwarding logs from your Domain Controllers please be aware you do this at your own risk! Monitoring such servers has not been tested and may have unintended side effects. - - - -### Space issues during install: -If there are size contstraints on your system and your system doesn't meet our expected requirements, you could run into issues like this [ISSUE](https://github.com/cisagov/LME/issues/19). - -You can try this: [DISK-SPACE-20.04](https://askubuntu.com/questions/1269493/ubuntu-server-20-04-1-lts-not-all-disk-space-was-allocated-during-installation) -``` -root@util:# vgdisplay -root@util:# lvextend -l +100%FREE /dev/mapper/ubuntu--vg-ubuntu--lv -root@util:~# resize2fs /dev/mapper/ubuntu--vg-ubuntu--lv -``` - -### Containers restarting/not running: -Usually if you have issues with containers restarting there is probably something wrong with your host or the container itself. Lik in the above sample, a wrong password could be prevent the Elastic Stack from operating properly. You can check the container logs like so: -``` -#TO list the name of the container -sudo docker ps --format "{{.Names}}" - -#Using the above name you found, check its logs here. -sudo docker logs -f [CONTAINER_NAME] -``` -Hopefully that is enough to determine the issue, but below we have some common issues you could encounter: - -#### Directory Permission issues -If you encounter errors like [this](https://github.com/cisagov/LME/issues/15) in the container logs, probably your host ownership or permissions for mounted files, don't match what the container expects them to be. In this case the `/usr/share/elasticsearch/backups` which is mapped from `/opt/lme/backups` on the host. -You can see this in the [docker-compose-stack.yml](https://github.com/cisagov/LME/blob/main/Chapter%203%20Files/docker-compose-stack.yml) file: -``` -โ•ฐโ”€$ cat Chapter\ 3\ Files/docker-compose-stack.yml | grep -i volume -A 5 - volumes: - - type: volume - source: esdata - target: /usr/share/elasticsearch/data - - type: bind - source: /opt/lme/backups - target: /usr/share/elasticsearch/backups -``` - -To fix this you can change the permissions to what the conatiner expects: -``` -sudo chown -R 1000:1000 /opt/lme/backups -``` -The user id in the container is 1000, so by setting the proper owner we fix the directory permission issue. -We know this by investigating the backing docker container image for elasticsearch [LINK](https://github.com/elastic/elasticsearch/blob/61d59b31a27448e3d7d28907717b1b8c23f52f3e/distribution/docker/src/docker/Dockerfile#L185) [GITHUB](https://github.com/elastic/elasticsearch/blob/main/distribution/docker/src/docker/Dockerfile) - - -#### deploy.sh stalls on: wating for elasticsearch to connect +### deploy.sh stalls on: wating for elasticsearch to connect This was a bug that was fixed in the current iteration of deploy.sh. This occurs if the `elastic` user password was already set in a previous deployment of LME. The easiest fix for this is to delete your old LME volumes as that will clear out any old settings that would be preventing install. ``` #DONT RUN THIS IF YOU HAVE DATA YOU WANT TO PRESERVE!! @@ -158,23 +112,6 @@ elasticsearch-reset-password -v -u elastic -i --url https://localhost:9200 ``` If the elasticsearch-reset-password is not available in your version of elasticsearch, you may be able to try recreating the container with a newer version of LME and running the same above steps. We have not tested this last suggestion, so attempting this last step won't be supported, but is worth a try if none of the above works. -### Elasticsearch fails to boot on Linux server -Sometimes environmental differences can make the installation process get screwed up [ISSUE](https://github.com/cisagov/LME/issues/21). If you have the luxury, you could perform a full reinstall: - -If you are unable to access https://, this is most likely because the elasticsearch service fails to run on the Linux server. To perform a full reinstall: -``` -cd /opt/lme/Chapter\ 3\ Files/ -sudo ./deploy.sh uninstall -#delete everything: -rm -r /opt/lme -#Reclone the LME repository into /opt/lme/: -git clone git@github.com:cisagov/LME.git /opt/lme/ -#Navigate back to Chapter 3 Files: -cd /opt/lme/Chapter\ 3\ Files/ -sudo ./deploy.sh install -#Save credentials, then continue with Chapter 3 installation -``` -Optionally you could uninstall docker entirely and reinstall it from the deploy.sh script. If you do end up removing Docker this link could be helpful: https://askubuntu.com/a/1021506. ## Chapter 4 and Beyond diff --git a/testing/SetupTestbed.ps1 b/testing/SetupTestbed.ps1 index 4aafb125..5e772733 100644 --- a/testing/SetupTestbed.ps1 +++ b/testing/SetupTestbed.ps1 @@ -28,12 +28,6 @@ param ( )] $AutoShutdownEmail=$null, - [Alias("l")] - [Parameter( - HelpMessage="Location where the cluster will be built. Default westus" - )] - [string]$Location="westus", - [Alias("g")] [Parameter(Mandatory=$true)] [string]$ResourceGroup, @@ -65,7 +59,7 @@ $DcIP = "10.1.0.4" $LsIP = "10.1.0.5" #Default Azure Region: -# $Location = "westus" +$Location = "westus" #Domain information: $VMAdmin = "admin.ackbar" @@ -183,7 +177,6 @@ if ($NumClients -lt 1 -or $NumClients -gt 16) { ################ Write-Output "Supplied configuration:`n" -Write-Output "Location: $Location" Write-Output "Resource group: $ResourceGroup" Write-Output "Number of clients: $NumClients" Write-Output "Allowed sources (IP's): $AllowedSourcesList"