diff --git a/.github/workflows/build-deploy-production.yml b/.github/workflows/build-deploy-production.yml
index 694b9333a..996bacfa3 100644
--- a/.github/workflows/build-deploy-production.yml
+++ b/.github/workflows/build-deploy-production.yml
@@ -6,52 +6,187 @@ on:
   workflow_dispatch: # this makes the action manual
 
 jobs:
-  build:
-    name: Install dependencies and generate static site
+  neon:
+    name: Build Neon
     runs-on: ubuntu-latest
 
     steps:
       - uses: actions/checkout@v3
 
-      - uses: actions/setup-python@v4
+      - name: Use Node.js
+        uses: actions/setup-node@v3
         with:
-          python-version: '3.x'
-      - run: pip install nbconvert==7.0.0 packaging
-      - name: Convert Jupyter notebooks
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./neon
+        run: npm install
+
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
+        shell: bash
         run: |
-          shopt -s globstar
-          jupyter-nbconvert --to markdown **/*.ipynb --ExtractOutputPreprocessor.enabled=False
-          shopt -u globstar
+          cp -r neon/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./neon
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: neon
+          path: neon/.vitepress/dist
+  
+  invisible:
+    name: Build Invisible
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Use Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./invisible
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
         shell: bash
+        run: |
+          cp -r invisible/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./invisible
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: invisible
+          path: invisible/.vitepress/dist
+  
+  core:
+    name: Build Core
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
 
       - name: Use Node.js
         uses: actions/setup-node@v3
         with:
-          node-version: 16
+          node-version: 18
 
-      - name: Install vuepress
-        run: yarn global add vuepress
-      - name: Install package.json
-        run: yarn
-      - name: Build static site with vuepress
-        # alias for vuepress build src defined in package.json
-        run: yarn build
+      - name: Install dependencies
+        working-directory: ./core
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
+        shell: bash
+        run: |
+          cp -r core/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./core
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: core
+          path: core/.vitepress/dist
+  
+  alpha-lab:
+    name: Build Alpha Lab
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Use Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
 
-      - name: Write commit SHA to gitcommit.txt in dist
+      - name: Install dependencies
+        working-directory: ./alpha-lab
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
         shell: bash
         run: |
-          echo $GITHUB_SHA > src/.vuepress/dist/gitcommit.txt
+          cp -r alpha-lab/node_modules .
+          ls -la
 
-      - name: Get size of files in dist
+      - name: Make build
+        working-directory: ./alpha-lab
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: alpha-lab
+          path: alpha-lab/.vitepress/dist
+
+  landing-page:
+    name: Upload landing page
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Use Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./landing-page
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
+        shell: bash
+        run: |
+          cp -r landing-page/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./landing-page
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: landing-page
+          path: landing-page/.vitepress/dist
+          
+  debugging-info:
+    name: Upload debugging info
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3         
+      - name: Write commit SHA to gitcommit.txt
         shell: bash
         run: |
-          du -ah src/.vuepress/dist
+          echo $GITHUB_SHA > gitcommit.txt
 
-      - name: Archive build artifacts
-        uses: actions/upload-artifact@v2
+      - name: Gitcommit - upload
+        uses: actions/upload-artifact@v3
         with:
-          name: vuepress-dist
-          path: src/.vuepress/dist
+          name: gitcommit
+          path: gitcommit.txt
 
   deploy-staging:
     name: Deploy to staging
@@ -59,26 +194,61 @@ jobs:
     environment:
       name: staging
       url: https://docs-staging.pupil-labs.com
-    needs: build
+    needs: [neon, invisible, core, landing-page, alpha-lab, debugging-info]
 
     steps:
       - uses: actions/checkout@v3
 
-      - name: Download generated website dist dir
-        uses: actions/download-artifact@v2
+      - name: Get size of files
+        shell: bash
+        run: |
+          du -ah .
+      
+      - name: Download gitcommit
+        uses: actions/download-artifact@v3
         with:
-          name: vuepress-dist
-          path: src/.vuepress/dist
+          name: gitcommit
+          path: gitcommit.txt
+      
+      - name: Download Neon
+        uses: actions/download-artifact@v3
+        with:
+          name: neon
+          path: neon/
+
+      - name: Download Invisible
+        uses: actions/download-artifact@v3
+        with:
+          name: invisible
+          path: invisible/
+      
+      - name: Download Core
+        uses: actions/download-artifact@v3
+        with:
+          name: core
+          path: core/
+      
+      - name: Download AlphaLab
+        uses: actions/download-artifact@v3
+        with:
+          name: alpha-lab
+          path: alpha-lab/
+
+      - name: Download Landing Page
+        uses: actions/download-artifact@v3
+        with:
+          name: landing-page
 
       - name: Rsync action - Deploy to staging
         uses: burnett01/rsync-deployments@4.1
         with:
           switches: -hrvz --delete --exclude=".htaccess"
-          path: src/.vuepress/dist/
+          path: .
           remote_path: ${{ secrets.REMOTE_PATH }}
           remote_host: ${{ secrets.REMOTE_HOST}}
           remote_user: ${{ secrets.REMOTE_USER }}
           remote_key: ${{ secrets.DEPLOY_KEY }}
+  
 
   deploy-production:
     name: Deploy to production
@@ -91,11 +261,34 @@ jobs:
     steps:
       - uses: actions/checkout@v3
 
-      - name: Download generated website dist dir
-        uses: actions/download-artifact@v2
+      - name: Download Neon
+        uses: actions/download-artifact@v3
+        with:
+          name: neon
+          path: neon/
+
+      - name: Download Invisible
+        uses: actions/download-artifact@v3
+        with:
+          name: invisible
+          path: invisible/
+      
+      - name: Download Core
+        uses: actions/download-artifact@v3
+        with:
+          name: core
+          path: core/
+      
+      - name: Download AlphaLab
+        uses: actions/download-artifact@v3
+        with:
+          name: alpha-lab
+          path: alpha-lab/
+
+      - name: Download Landing Page
+        uses: actions/download-artifact@v3
         with:
-          name: vuepress-dist
-          path: src/.vuepress/dist
+          name: landing-page
 
       - name: Rsync action - Deploy to production
         uses: burnett01/rsync-deployments@4.1
diff --git a/.github/workflows/build-deploy-staging-vitepress.yml b/.github/workflows/build-deploy-staging-vitepress.yml
deleted file mode 100644
index 569fb1b4e..000000000
--- a/.github/workflows/build-deploy-staging-vitepress.yml
+++ /dev/null
@@ -1,67 +0,0 @@
-name: Build/Deploy to Staging (Vitepress)
-
-on:
-  workflow_dispatch: # this makes the action manual
-
-jobs:
-  build:
-    name: Install dependencies and generate static site
-    runs-on: ubuntu-latest
-
-    steps:
-      - uses: actions/checkout@v3
-
-      - name: Use Node.js
-        uses: actions/setup-node@v3
-        with:
-          node-version: 18
-
-      - name: Neon dependencies
-        working-directory: ./neon
-        run: npm install
-      - name: Neon build
-        working-directory: ./neon
-        run: npm run docs:build
-      
-      - name: Neon write commit SHA to gitcommit.txt in dist
-        shell: bash
-        run: |
-          echo $GITHUB_SHA > neon/.vitepress/dist/gitcommit.txt
-
-      - name: Neon get size of files in dist
-        shell: bash
-        run: |
-          du -ah neon/.vitepress/dist
-
-      - name: Archive build artifacts
-        uses: actions/upload-artifact@v2
-        with:
-          name: neon-vitepress-dist
-          path: neon/.vitepress/dist
-
-  deploy-staging:
-    name: Deploy to staging
-    runs-on: ubuntu-latest
-    environment:
-      name: staging
-      url: https://docs-staging.pupil-labs.com
-    needs: build
-
-    steps:
-      - uses: actions/checkout@v3
-
-      - name: Download generated website dist dir
-        uses: actions/download-artifact@v2
-        with:
-          name: neon-vitepress-dist
-          path: neon/.vitepress/dist
-
-      - name: Rsync action - Deploy to staging
-        uses: burnett01/rsync-deployments@4.1
-        with:
-          switches: -hrvz --delete --exclude=".htaccess"
-          path: neon/.vitepress/dist/
-          remote_path: ${{ secrets.REMOTE_PATH }}
-          remote_host: ${{ secrets.REMOTE_HOST}}
-          remote_user: ${{ secrets.REMOTE_USER }}
-          remote_key: ${{ secrets.DEPLOY_KEY }}
diff --git a/.github/workflows/build-deploy-staging.yml b/.github/workflows/build-deploy-staging.yml
index 0166b34da..92b61a2bf 100644
--- a/.github/workflows/build-deploy-staging.yml
+++ b/.github/workflows/build-deploy-staging.yml
@@ -4,52 +4,187 @@ on:
   workflow_dispatch: # this makes the action manual
 
 jobs:
-  build:
-    name: Install dependencies and generate static site
+  neon:
+    name: Build Neon
     runs-on: ubuntu-latest
 
     steps:
       - uses: actions/checkout@v3
 
-      - uses: actions/setup-python@v4
+      - name: Use Node.js
+        uses: actions/setup-node@v3
         with:
-          python-version: '3.x'
-      - run: pip install nbconvert==7.0.0 packaging
-      - name: Convert Jupyter notebooks
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./neon
+        run: npm install
+
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
+        shell: bash
         run: |
-          shopt -s globstar
-          jupyter-nbconvert --to markdown **/*.ipynb --ExtractOutputPreprocessor.enabled=False
-          shopt -u globstar
+          cp -r neon/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./neon
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: neon
+          path: neon/.vitepress/dist
+  
+  invisible:
+    name: Build Invisible
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Use Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./invisible
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
         shell: bash
+        run: |
+          cp -r invisible/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./invisible
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: invisible
+          path: invisible/.vitepress/dist
+ 
+  core:
+    name: Build Core
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Use Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./core
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
+        shell: bash
+        run: |
+          cp -r core/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./core
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: core
+          path: core/.vitepress/dist
+  
+  alpha-lab:
+    name: Build Alpha Lab
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
 
       - name: Use Node.js
         uses: actions/setup-node@v3
         with:
-          node-version: 16
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./alpha-lab
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
+        shell: bash
+        run: |
+          cp -r alpha-lab/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./alpha-lab
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: alpha-lab
+          path: alpha-lab/.vitepress/dist
+
+  landing-page:
+    name: Upload landing page
+    runs-on: ubuntu-latest
 
-      - name: Install vuepress
-        run: yarn global add vuepress
-      - name: Install package.json
-        run: yarn
-      - name: Build static site with vuepress
-        # alias for vuepress build src defined in package.json
-        run: yarn build
+    steps:
+      - uses: actions/checkout@v3
 
-      - name: Write commit SHA to gitcommit.txt in dist
+      - name: Use Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./landing-page
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
         shell: bash
         run: |
-          echo $GITHUB_SHA > src/.vuepress/dist/gitcommit.txt
+          cp -r landing-page/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./landing-page
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: landing-page
+          path: landing-page/.vitepress/dist
+          
+  debugging-info:
+    name: Upload debugging info
+    runs-on: ubuntu-latest
 
-      - name: Get size of files in dist
+    steps:
+      - uses: actions/checkout@v3         
+      - name: Write commit SHA to gitcommit.txt
         shell: bash
         run: |
-          du -ah src/.vuepress/dist
+          echo $GITHUB_SHA > gitcommit.txt
 
-      - name: Archive build artifacts
-        uses: actions/upload-artifact@v2
+      - name: Gitcommit - upload
+        uses: actions/upload-artifact@v3
         with:
-          name: vuepress-dist
-          path: src/.vuepress/dist
+          name: gitcommit
+          path: gitcommit.txt
 
   deploy-staging:
     name: Deploy to staging
@@ -57,22 +192,56 @@ jobs:
     environment:
       name: staging
       url: https://docs-staging.pupil-labs.com
-    needs: build
+    needs: [neon, invisible, core, landing-page, alpha-lab, debugging-info]
 
     steps:
       - uses: actions/checkout@v3
 
-      - name: Download generated website dist dir
-        uses: actions/download-artifact@v2
+      - name: Get size of files
+        shell: bash
+        run: |
+          du -ah .
+      
+      - name: Download gitcommit
+        uses: actions/download-artifact@v3
+        with:
+          name: gitcommit
+          path: gitcommit.txt
+      
+      - name: Download Neon
+        uses: actions/download-artifact@v3
+        with:
+          name: neon
+          path: neon/
+
+      - name: Download Invisible
+        uses: actions/download-artifact@v3
+        with:
+          name: invisible
+          path: invisible/
+      
+      - name: Download Core
+        uses: actions/download-artifact@v3
+        with:
+          name: core
+          path: core/
+      
+      - name: Download AlphaLab
+        uses: actions/download-artifact@v3
+        with:
+          name: alpha-lab
+          path: alpha-lab/
+
+      - name: Download Landing Page
+        uses: actions/download-artifact@v3
         with:
-          name: vuepress-dist
-          path: src/.vuepress/dist
+          name: landing-page
 
       - name: Rsync action - Deploy to staging
         uses: burnett01/rsync-deployments@4.1
         with:
           switches: -hrvz --delete --exclude=".htaccess"
-          path: src/.vuepress/dist/
+          path: .
           remote_path: ${{ secrets.REMOTE_PATH }}
           remote_host: ${{ secrets.REMOTE_HOST}}
           remote_user: ${{ secrets.REMOTE_USER }}
diff --git a/.github/workflows/build-only.yml b/.github/workflows/build-only.yml
index 67973fbee..cab837c5e 100644
--- a/.github/workflows/build-only.yml
+++ b/.github/workflows/build-only.yml
@@ -4,38 +4,184 @@ on:
   pull_request
 
 jobs:
-  build:
-    name: Install dependencies and generate static site
+  neon:
+    name: Build Neon
     runs-on: ubuntu-latest
 
     steps:
       - uses: actions/checkout@v3
 
-      - uses: actions/setup-python@v4
+      - name: Use Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./neon
+        run: npm install
+
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
+        shell: bash
+        run: |
+          cp -r neon/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./neon
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: neon
+          path: neon/.vitepress/dist
+  
+  invisible:
+    name: Build Invisible
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Use Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./invisible
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
+        shell: bash
+        run: |
+          cp -r invisible/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./invisible
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: invisible
+          path: invisible/.vitepress/dist
+ 
+  core:
+    name: Build Core
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Use Node.js
+        uses: actions/setup-node@v3
         with:
-          python-version: '3.x'
-      - run: pip install nbconvert==7.0.0 packaging
-      - name: Convert Jupyter notebooks
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./core
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
+        shell: bash
         run: |
-          shopt -s globstar
-          jupyter-nbconvert --to markdown **/*.ipynb --ExtractOutputPreprocessor.enabled=False
-          shopt -u globstar
+          cp -r core/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./core
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: core
+          path: core/.vitepress/dist
+  
+  alpha-lab:
+    name: Build Alpha Lab
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Use Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./alpha-lab
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
         shell: bash
+        run: |
+          cp -r alpha-lab/node_modules .
+          ls -la
+
+      - name: Make build
+        working-directory: ./alpha-lab
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: alpha-lab
+          path: alpha-lab/.vitepress/dist
+
+  landing-page:
+    name: Upload landing page
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
 
       - name: Use Node.js
         uses: actions/setup-node@v3
         with:
-          node-version: 16
+          node-version: 18
+
+      - name: Install dependencies
+        working-directory: ./landing-page
+        run: npm install
+      
+      # Copy node modules to provide dependencies for shared components in root folder
+      - name: Copy node_modules
+        shell: bash
+        run: |
+          cp -r landing-page/node_modules .
+          ls -la
 
-      - name: Install vuepress
-        run: yarn global add vuepress
-      - name: Install package.json
-        run: yarn
-      - name: Build static site with vuepress
-        # alias for vuepress build src defined in package.json
-        run: yarn build
+      - name: Make build
+        working-directory: ./landing-page
+        run: npm run docs:build
+      
+      - name: Upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: landing-page
+          path: landing-page/.vitepress/dist
+          
+  debugging-info:
+    name: Upload debugging info
+    runs-on: ubuntu-latest
 
-      - name: Get size of files in dist
+    steps:
+      - uses: actions/checkout@v3         
+      - name: Write commit SHA to gitcommit.txt
         shell: bash
         run: |
-          du -ah src/.vuepress/dist
+          echo $GITHUB_SHA > gitcommit.txt
+
+      - name: Gitcommit - upload
+        uses: actions/upload-artifact@v3
+        with:
+          name: gitcommit
+          path: gitcommit.txt
diff --git a/.github/workflows/link-check-on-req.yml b/.github/workflows/link-check-on-req.yml
deleted file mode 100644
index d19c5997c..000000000
--- a/.github/workflows/link-check-on-req.yml
+++ /dev/null
@@ -1,63 +0,0 @@
-name: 🔗 Links check on REQ
-
-on:
-  repository_dispatch:
-  workflow_dispatch:
-
-jobs:
-  linkChecker:
-    name: Install dependencies and generate static site and check for broken links
-    runs-on: ubuntu-latest
-
-    steps:
-      - uses: actions/checkout@v3
-
-      - uses: actions/setup-python@v4
-        with:
-          python-version: "3.x"
-      - run: pip install nbconvert==7.0.0 packaging
-
-      - name: Convert Jupyter notebooks
-        run: |
-          shopt -s globstar
-          jupyter-nbconvert --to markdown **/*.ipynb --ExtractOutputPreprocessor.enabled=False
-          shopt -u globstar
-        shell: bash
-
-      - name: Use Node.js
-        uses: actions/setup-node@v3
-        with:
-          node-version: 16
-
-      - name: Install vuepress
-        run: yarn global add vuepress
-
-      - name: Install package.json
-        run: yarn
-
-      - name: Build static site with vuepress
-        # alias for vuepress build src defined in package.json
-        run: yarn build
-
-      - name: Get size of files in dist
-        shell: bash
-        run: |
-          du -ah src/.vuepress/dist
-
-      # Check built html pages for broken links
-      - name: Link checker
-        id: lychee
-        uses: lycheeverse/lychee-action@v1.5.4
-        with:
-          # Check all markdown and html files in repo (exclude those in .lycheeignore)
-          args: -v -n -a 403,503,429,200 -i -u 'Mozilla/5.0' -b 'https://docs.pupil-labs.com' --exclude-mail --include-verbatim 'src/core/**/*.md' 'src/invisible/**/*.md' 'src/vr-ar/**/*.md' 'src/**/*.md' 'src/invisible/**/*.ipynb' 'src/core/**/*.ipynb' #'src/.vuepress/**/*.html'
-          jobSummary: true
-        env:
-          GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
-
-      - name: Create Issue From File from lychee
-        uses: peter-evans/create-issue-from-file@v4.0.1
-        with:
-          title: Link Checker Report
-          content-filepath: ./lychee/out.md
-          labels: report, automated issue
diff --git a/.gitignore b/.gitignore
index e79590ac8..5a851d67f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,223 +1,135 @@
-node_modules
-*.htaccess
-*.DS_Store
-.sublime-project
-contents/css
-contents/js/*.js
-assets/rev_manifest
-rev_manifest.json
-
-# Compiled Object files, Static and Dynamic libs (Shared Objects)
-*.o
-*.a
-*.so
-
-# Folders
-_obj
-_test
-
-# Architecture specific extensions/prefixes
-*.[568vq]
-[568vq].out
-
-*.cgo1.go
-*.cgo2.c
-_cgo_defun.c
-_cgo_gotypes.go
-_cgo_export.*
-
-_testmain.go
-
-*.exe
-*.test
-*.prof
-node_modules/
-src/assets/
+media/
+.DS_Store
+*/.vitepress/cache/
 
 
-# ignore our minified css files
-screen.min.css
-main.min.css
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+lerna-debug.log*
+.pnpm-debug.log*
 
-# ignore build directories
-config-tags.toml
-dist
+# Diagnostic reports (https://nodejs.org/api/report.html)
+report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
 
-# ignore temp dir
-tmp
-
-# ignore yarn error log
-yarn-error.log
-
-.vscode/
-
-
-# Created by https://www.toptal.com/developers/gitignore/api/jupyternotebooks,python
-# Edit at https://www.toptal.com/developers/gitignore?templates=jupyternotebooks,python
-
-### JupyterNotebooks ###
-# gitignore template for Jupyter Notebooks
-# website: http://jupyter.org/
-
-.ipynb_checkpoints
-*/.ipynb_checkpoints/*
-
-# IPython
-profile_default/
-ipython_config.py
-
-# Remove previous ipynb_checkpoints
-#   git rm -r .ipynb_checkpoints/
-
-### Python ###
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
+# Runtime data
+pids
+*.pid
+*.seed
+*.pid.lock
+
+# Directory for instrumented libs generated by jscoverage/JSCover
+lib-cov
+
+# Coverage directory used by tools like istanbul
+coverage
+*.lcov
+
+# nyc test coverage
+.nyc_output
+
+# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
+.grunt
 
-# Flask stuff:
-instance/
-.webassets-cache
+# Bower dependency directory (https://bower.io/)
+bower_components
 
-# Scrapy stuff:
-.scrapy
+# node-waf configuration
+.lock-wscript
 
-# Sphinx documentation
-docs/_build/
+# Compiled binary addons (https://nodejs.org/api/addons.html)
+build/Release
 
-# PyBuilder
-.pybuilder/
-target/
+# Dependency directories
+node_modules/
+jspm_packages/
+
+# Snowpack dependency directory (https://snowpack.dev/)
+web_modules/
 
-# Jupyter Notebook
+# TypeScript cache
+*.tsbuildinfo
 
-# IPython
+# Optional npm cache directory
+.npm
 
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
+# Optional eslint cache
+.eslintcache
 
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
+# Optional stylelint cache
+.stylelintcache
 
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
+# Microbundle cache
+.rpt2_cache/
+.rts2_cache_cjs/
+.rts2_cache_es/
+.rts2_cache_umd/
 
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow
-__pypackages__/
+# Optional REPL history
+.node_repl_history
 
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
+# Output of 'npm pack'
+*.tgz
 
-# SageMath parsed files
-*.sage.py
+# Yarn Integrity file
+.yarn-integrity
 
-# Environments
+# dotenv environment variable files
 .env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
+.env.development.local
+.env.test.local
+.env.production.local
+.env.local
 
-# Spyder project settings
-.spyderproject
-.spyproject
+# parcel-bundler cache (https://parceljs.org/)
+.cache
+.parcel-cache
 
-# Rope project settings
-.ropeproject
+# Next.js build output
+.next
+out
+
+# Nuxt.js build / generate output
+.nuxt
+dist
+
+# Gatsby files
+.cache/
+# Comment in the public line in if your project uses Gatsby and not Next.js
+# https://nextjs.org/blog/next-9-1#public-directory-support
+# public
+
+# vuepress build output
+.vuepress/dist
+
+# vuepress v2.x temp and cache directory
+.temp
+.cache
 
-# mkdocs documentation
-/site
+# Docusaurus cache and generated files
+.docusaurus
 
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
+# Serverless directories
+.serverless/
 
-# Pyre type checker
-.pyre/
+# FuseBox cache
+.fusebox/
 
-# pytype static type analyzer
-.pytype/
+# DynamoDB Local files
+.dynamodb/
 
-# Cython debug symbols
-cython_debug/
+# TernJS port file
+.tern-port
 
-# PyCharm
-#  JetBrains specific template is maintainted in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
+# Stores VSCode versions used for testing VSCode extensions
+.vscode-test
 
-# End of https://www.toptal.com/developers/gitignore/api/jupyternotebooks,python
+# yarn v2
+.yarn/cache
+.yarn/unplugged
+.yarn/build-state.yml
+.yarn/install-state.gz
+.pnp.*
\ No newline at end of file
diff --git a/README.md b/README.md
index 7592d9a6a..c0e605e47 100644
--- a/README.md
+++ b/README.md
@@ -1,300 +1,18 @@
-# Pupil Docs
-
-Pupil Docs website built with Vuepress.
-
-User and Developer Docs for [Pupil](https://github.com/pupil-labs/pupil).
-
-View the docs at [docs.pupil-labs.com](https://docs.pupil-labs.com)
-
-## Contributing
-
-We welcome all contributions! To edit content:
-
-1. Fork this repository
-1. Install dependencies
-1. Edit content
-1. Test local changes
-1. Commit and push to your fork
-1. Make a Pull Request
-
-## Download
-
-For this project, we use Yarn for dependency management.
-
-Download and install [Yarn](https://yarnpkg.com/en/docs/install).
-
-## Install
-
-Fork or clone this repository and run the following command to install the dependencies.
-
-```bash
-yarn
-```
-
-## Development
-
-To generate markdown files from Jupyter notebooks install nbconvert via
-
-```
-pip install nbconvert
-```
-
-and run the following command
-
-```
-jupyter-nbconvert --to markdown **/*.ipynb --ExtractOutputPreprocessor.enabled=False
-```
-
-on a Windows machine, you can achieve the same output by running the following command using PowerShell
-
-```
-ls *.ipynb -Recurse | foreach{jupyter-nbconvert --to markdown $_ --ExtractOutputPreprocessor.enabled=False}
-```
-
-Start local development with:
-
-```bash
-yarn dev
-```
-
-To generate static assets, run:
-
-```basg
-yarn build
-```
-
-### Adding new notebooks
-
-The first cell should be a Markdown cell and start with "frontmatter"
-
-```md
----
-description: DESCRIPTION
-is_notebook: true
----
-```
-
-## Directory Structure
-
+# Recommended Defaults
+- When importing images, use markdown-style imports
 ```markdown
-.
-├── src
-│ ├── .vuepress
-│ │ ├── components
-│ │ ├── theme
-│ │ │ └── layouts
-│ │ ├── public (static)
-│ │ │ └── imgs/videos
-│ │ ├── config.js
-│ │ └── enhanceApp.js
-│ │
-│ ├── media (processed by webpack)
-│ │ └── imgs/videos
-│ │
-│ ├── core
-│ │ ├── user-guide.md
-│ │ └── README.md
-│ │
-│ └── README.md
-│
-└── package.json
-```
-
-## Page routing
-
-In the root dir are where all the page routes are located.
-
-| Relative Path     | Page Routing |
-| ----------------- | ------------ |
-| `/README.md`      | `/`          |
-| `/core/README.md` | `/core/`     |
-
-For pages that are _not_ README.md, please add frontmatter with a permalink. This enables us to have "clean" URLs without `.html` and makes linking within docs easier. Example for /core/software/pupil-capture.md - add the below front-matter:
-
-```md
----
-permalink: /core/software/pupil-capture
----
+![alt text](/path/to/image.png)
 ```
+- When trying to create a gallery view, consider using the `PhotoGrid` component
+- Avoid using custom HTML and CSS as much as possible.
 
-## Preview social media share
-
-The social media preview is generated by Vuepress via frontmatter of each `.md` file. Anyone working on docs can just update the frontmatter to update the preview.
-
-This is an example frontmatter config for showing a preview image, using Twitter (X) Summary Card. You can also use Youtube thumbnail URL for the preview image. A valid URL is required to show a preview image.
-
-```
----
-title: Title of the current page.
-description: Description of the current page.
-permalink: /<url>
-meta:
-  - name: twitter:card
-    content: summary_large_image
-  - name: twitter:image
-    content: "https://i.ytimg.com/vi/cuvWqVOAc5M/maxresdefault.jpg"
-  - property: og:image
-    content: "https://i.ytimg.com/vi/cuvWqVOAc5M/maxresdefault.jpg"
-tags: [Neon]
----
-```
-
-If you would like to preview Youtube video, you can use Twitter (X) Player Card and update the meta config like so:
-
-Just update the Youtube video id in the example
-
-```
-meta:
-  - name: twitter:card
-    content: player
-  - name: twitter:image
-    content: "https://i.ytimg.com/vi/cuvWqVOAc5M/maxresdefault.jpg"
-  - name: twitter:player
-    content: "https://www.youtube.com/embed/cuvWqVOAc5M"
-  - name: twitter:width
-    content: "1280"
-  - name: twitter:height
-    content: "720"
-  - property: og:image
-    content: "https://i.ytimg.com/vi/cuvWqVOAc5M/maxresdefault.jpg"
-```
-
-Read more: https://vuepress.vuejs.org/guide/frontmatter.html#alternative-frontmatter-formats
-
-## Images & media
-
-- `src/media` - This is where most people will be adding images, videos, etc. For all assets that will be used in .md files.
-- `src/.vuepress/public` - Primarily for those who are developing the theme. For assets that are used in .vue files.
-
-#### Relative URLs
 
-All Markdown files are compiled into Vue components and processed by webpack, so you can and should prefer referencing any asset using relative URLs:
-
-```markdown
-![An image](./image.png)
-```
-
-#### Public files
-
-Sometimes you may need to provide static assets that are not directly referenced in any of your Markdown or theme components - for example, favicons and PWA icons. In such cases, you can put them inside `src/.vuepress/public` and they will be copied to the root of the generated directory.
-
-#### Asset formats
-
-- Raster graphics should be and `.jpg`.
-- Vector graphics should be `.svg`.
-- Videos/animations should be `.mp4` versions.
-- Including image posters as `.jpg` versions.
-
-Note - `webm` and `webp` will be implemented in future iterations.
-
-## Style Guide
-
-We aim for the docs to be concise and readable.
-
-All content is written in Markdown. If you're new to Markdown see [this guide](https://guides.github.com/features/mastering-markdown/ "Github - Mastering Markdown"). HTML markup is also parsed but discouraged unless absolutely needed.
-
-### Table of contents
-
-All H1, H2, H3 headers will be automatically added to the table of contents.
-
-Please only use H1-H4 headings. If you find yourself needing more nesting, you should re-think your content. _Don't use H5_.
-
-### Code blocks
-
-VuePress uses Prism to highlight language syntax in Markdown code blocks, using coloured text.
-Prism supports a wide variety of programming languages.
-All you need to do is append a valid language alias to the beginning backticks for the code block:
-
-````markdown
-```python
-print("welcome to pupil docs")
-```
-````
-
-### Custom container
-
-You can add highlighted notes with a little HTML embedded in your markdown document:
-
-#### Text only
-
-```markdown
-::: tip
-Text.
-:::
-```
-
-#### Text with title
-
-```markdown
-::: warning Title
-Text.
-:::
-```
-
-#### Text with icon
-
-`v-icon` is a vuetify tag, so you could change the color property and also replace the icon by changing the `error_outline` to any Material Icons.
-
-```markdown
-::: danger
-<v-icon large color="warning">error_outline</v-icon>
-Text.
-:::
-```
-
-<!-- coming soon
-#### Text with icon
-Wrap the icon and text in the same block.
-
-`v-icon` is a vuetify tag, so you could change the color property and also replace the icon by changing the `error_outline` to any Material Icons.
-
-```markdown
-::: danger
-<div>
-    <v-icon large color="warning">error_outline</v-icon>
-    Text.
-</div>
-:::
-```
-
-#### Multiple lines
-- adding multiple blocks in the slot will automatically render separate elements with no need for <br> to vertically align items
-
-```md
-::: tip
-**title-1:** text
-
-**title-2**: text
-:::
-``` -->
-
-### Youtube videos
-
-Use Youtube component to quickly add videos to markdown files.
-
-Just copy and paste the unique video ID to the src prop of the component like so.
-
-```
-https://www.youtube.com/watch?v=HGMjJLnK2_4
-```
-
-```md
-<Youtube src="HGMjJLnK2_4"/>
-```
-
-### Videos
-
-Use Videos component to quickly add local videos to markdown files.
-
-Just add the relative path of the video to the src prop of the component like so.
-Note that you need to use `require` in order for Webpack to correctly resolve the path.
-
-```md
-<Videos :src="require(`../../media/core/videos/worldcam-focus.mp4`)">
-```
-
-The default video type is `video/mp4` which is automatically added but in case you are using a different type of video, just update the type prop.
-
-```md
-<Videos :src="require(`../../media/core/videos/worldcam-focus.webm`)" type="video/webm">
-```
+# Capitalization
+- We use title case for all titles, headings, menu sections etc. We use title case as it is defined by the Associated Press Stylebook. There is a converter available [here](https://titlecaseconverter.com/) to double-check correctness.
+- Fixed product and feature names are capitalized, like e.g.
+    - Reference Image Mapper
+    - Neon Companion App
+    - Neon Companion Device
+    - Pupil Invisible Glasses
+    - Video Renderer
+    - Heatmap Visualization
diff --git a/alpha-lab/.vitepress/config.mts b/alpha-lab/.vitepress/config.mts
new file mode 100644
index 000000000..d7b3ddbcb
--- /dev/null
+++ b/alpha-lab/.vitepress/config.mts
@@ -0,0 +1,95 @@
+import { fileURLToPath, URL } from "node:url";
+import { defineConfig } from "vitepress";
+
+import { config as default_config } from "./../../default_config.mts";
+import { theme_config as default_theme_config } from "./../../default_config.mts";
+
+let theme_config_additions = {
+  // https://vitepress.dev/reference/default-theme-config
+  // nav: [{ text: "Feedback", link: "https://feedback.pupil-labs.com/" }],
+
+  sidebar: [
+    { text: "Welcome", link: "/" },
+    {
+      text: "Gaze Mapping",
+      items: [
+        { text: "Onto screen content", link: "/map-your-gaze-to-a-2d-screen/" },
+        { text: "Onto body parts", link: "/dense-pose/" },
+        { text: "Onto 3D models with NerfStudio", link: "/nerfs/" },
+      ],
+    },
+    {
+      text: "Reference Image Mapper",
+      items: [
+        { text: "AOIs and Gaze Metrics", link: "/gaze-metrics-in-aois/" },
+        { text: "Mapping a whole Room", link: "/multiple-rim/" },
+        { text: "Scanpaths on Reference Images", link: "/scanpath-rim/" },
+        { text: "Gaze Behaviour on Phone Screens", link: "/phone-neon/" },
+      ],
+    },
+    {
+      text: "Other",
+      items: [
+        {
+          text: "Gaze-Contingent Assistive Applications",
+          link: "/gaze-contingency-assistive/",
+        },
+        { text: "Undistort Video and Gaze Data", link: "/undistort/" },
+        { text: "Use Neon with Pupil Capture", link: "/neon-with-capture/" },
+      ],
+    },
+  ],
+
+  // socialLinks: [
+  //   { icon: "discord", link: "https://pupil-labs.com/chat" },
+  //   {
+  //     icon: {
+  //       svg: '<svg xmlns="http://www.w3.org/2000/svg" height="1em" viewBox="0 0 576 512"><!--! Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license (Commercial License) Copyright 2023 Fonticons, Inc. --><title>Home</title><path d="M575.8 255.5c0 18-15 32.1-32 32.1h-32l.7 160.2c0 2.7-.2 5.4-.5 8.1V472c0 22.1-17.9 40-40 40H456c-1.1 0-2.2 0-3.3-.1c-1.4 .1-2.8 .1-4.2 .1H416 392c-22.1 0-40-17.9-40-40V448 384c0-17.7-14.3-32-32-32H256c-17.7 0-32 14.3-32 32v64 24c0 22.1-17.9 40-40 40H160 128.1c-1.5 0-3-.1-4.5-.2c-1.2 .1-2.4 .2-3.6 .2H104c-22.1 0-40-17.9-40-40V360c0-.9 0-1.9 .1-2.8V287.6H32c-18 0-32-14-32-32.1c0-9 3-17 10-24L266.4 8c7-7 15-8 22-8s15 2 21 7L564.8 231.5c8 7 12 15 11 24z"/></svg>',
+  //     },
+  //     link: "https://docs-staging.pupil-labs.com/",
+  //   },
+  // ],
+};
+
+let theme_config = { ...default_theme_config, ...theme_config_additions };
+
+let config_additions = {
+  base: "/alpha-lab/",
+  title: "Alpha Lab",
+  titleTemplate: "Alpha Lab - :title - Pupil Labs Docs",
+  description:
+    "Documentation for Pupil Labs prototypes and demos to explore our curiosities.",
+  vite: {
+    resolve: {
+      alias: [
+        {
+          find: /^.*\/VPNavBar\.vue$/,
+          replacement: fileURLToPath(
+            new URL(
+              "./../../components/header/CustomNavBar.vue",
+              import.meta.url
+            )
+          ),
+        },
+        {
+          find: /^.*\/VPDocFooter\.vue$/,
+          replacement: fileURLToPath(
+            new URL("./../../components/CustomDocFooter.vue", import.meta.url)
+          ),
+        },
+        {
+          find: "@components",
+          replacement: fileURLToPath(
+            new URL("./../../components", import.meta.url)
+          ),
+        },
+      ],
+    },
+  },
+};
+
+export default defineConfig({
+  ...default_config,
+  ...config_additions,
+  themeConfig: theme_config,
+});
diff --git a/alpha-lab/.vitepress/theme/index.ts b/alpha-lab/.vitepress/theme/index.ts
new file mode 100644
index 000000000..c464c3022
--- /dev/null
+++ b/alpha-lab/.vitepress/theme/index.ts
@@ -0,0 +1,18 @@
+import type { Theme } from "vitepress";
+import DefaultTheme from "vitepress/theme";
+import AlphaPageLayout from "@components/AlphaPageLayout.vue";
+import Youtube from "@components/Youtube.vue";
+import PhotoGrid from "@components/PhotoGrid.vue";
+
+import "/../custom.css";
+import "./tailwind.css";
+
+export default {
+  extends: DefaultTheme,
+  enhanceApp({ app }) {
+    // register your custom global components
+    app.component("AlphaPageLayout", AlphaPageLayout);
+    app.component("Youtube", Youtube);
+    app.component("PhotoGrid", PhotoGrid);
+  },
+} satisfies Theme;
diff --git a/alpha-lab/.vitepress/theme/tailwind.css b/alpha-lab/.vitepress/theme/tailwind.css
new file mode 100644
index 000000000..bbb78849e
--- /dev/null
+++ b/alpha-lab/.vitepress/theme/tailwind.css
@@ -0,0 +1,7 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+/* .vp-external-link-icon::after {
+  content: unset;
+} */
diff --git a/src/media/alpha-lab/densepose-result.png b/alpha-lab/dense-pose/densepose-result.png
similarity index 100%
rename from src/media/alpha-lab/densepose-result.png
rename to alpha-lab/dense-pose/densepose-result.png
diff --git a/src/alpha-lab/dense-pose.md b/alpha-lab/dense-pose/index.md
similarity index 78%
rename from src/alpha-lab/dense-pose.md
rename to alpha-lab/dense-pose/index.md
index 3c1d8712f..e3fa51be2 100644
--- a/src/alpha-lab/dense-pose.md
+++ b/alpha-lab/dense-pose/index.md
@@ -17,12 +17,18 @@ meta:
     content: "https://i.ytimg.com/vi/nt_zNSBMJWI/maxresdefault.jpg"
 tags: [Pupil Invisible, Neon, Cloud]
 ---
+
+<script setup>
+import TagLinks from '@components/TagLinks.vue'
+</script>
+
 # Map gaze onto body parts using DensePose
 
-<TagLinks />
+<TagLinks :tags="$frontmatter.tags" />
+
 <Youtube src="nt_zNSBMJWI"/>
 
-**Act 3, Scene 1:**  *"To be or not to be?"* But where is the audience looking? At the hand, the face or the arm? <br>
+**Act 3, Scene 1:** _"To be or not to be?"_ But where is the audience looking? At the hand, the face or the arm? <br>
 
 ::: tip
 Have you ever wondered which body parts we gaze upon while conversing with others? Where a professional basketball player looks just before passing? Does hand movement play a role when delivering a speech? This guide will show you how to get data that can be used to answer these questions!
@@ -30,14 +36,14 @@ Have you ever wondered which body parts we gaze upon while conversing with other
 
 ## Understanding visual behaviour on body parts
 
-Understanding which body parts people look at during interactions, whether visual or otherwise, is an important topic in 
-fields ranging from sports science to psycholinguistics. This guide shows you how to use Neon or Pupil Invisible eye 
-tracking with [DensePose](https://github.com/facebookresearch/DensePose) (Github repository of [Dense Human Pose Estimation In The Wild](https://arxiv.org/abs/1802.00434)) 
+Understanding which body parts people look at during interactions, whether visual or otherwise, is an important topic in
+fields ranging from sports science to psycholinguistics. This guide shows you how to use Neon or Pupil Invisible eye
+tracking with [DensePose](https://github.com/facebookresearch/DensePose) (Github repository of [Dense Human Pose Estimation In The Wild](https://arxiv.org/abs/1802.00434))
 to characterise gaze behaviour on body parts that appear in the scene video, as shown above.
 
 ## What tools enable this?
 
-Pupil Cloud currently offers a [Face Mapper enrichment](/enrichments/face-mapper/), which tracks faces in scene video and determines whether they were gazed at. However, tracking the rest of the body is currently not available in Cloud. This is where our guide comes in. By following our instructions, you will be able to automatically detect and track body parts of people visible in the scene video of your recordings, and map gaze onto tracked body parts. This approach can enable a deeper understanding of how subjects (wearing the eye tracker) visually interacted with other people.
+Pupil Cloud currently offers a [Face Mapper enrichment](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/), which tracks faces in scene video and determines whether they were gazed at. However, tracking the rest of the body is currently not available in Cloud. This is where our guide comes in. By following our instructions, you will be able to automatically detect and track body parts of people visible in the scene video of your recordings, and map gaze onto tracked body parts. This approach can enable a deeper understanding of how subjects (wearing the eye tracker) visually interacted with other people.
 
 Until recently, existing methods for tracking body parts in eye tracking scene video were not very robust or accurate. However, [DensePose](https://github.com/facebookresearch/DensePose) promises to solve many of these problems, so we have decided to incorporate it into our guide.
 
@@ -59,19 +65,18 @@ After executing the code, new files will be generated. Check the new DensePoseCo
 
 1. A video showing a bounding box that delimits each detected person, a blue shaded mask over the body parts, a yellow highlighted body part when it's gazed at, and the typical red circle for the gaze position.
 2. An image showing the body segments and the number of frames in which they were gazed, as shown below:
-    
-<div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require(`../media/alpha-lab/densepose-result.png`)" width="100%" />
-</div>
-    
+
+![Densepose Results](./densepose-result.png)
+
 3. Two files are also stored:
-- `parts_count.csv` - shows the number of times each body part is gazed 
+
+- `parts_count.csv` - shows the number of times each body part is gazed
 - `densepose.csv` - follows a structure similar to `gaze.csv`, but also with a new column indicating gazed body parts
 
 ## Running locally
 
 You can also run everything on your local machine. However, this option is only available for Linux and MacOS users as detectron2 does not support Windows 😕. If you do not have a GPU on your computer, we strongly recommend using our Google Colab notebook. Detailed instructions on running locally can be found in the [Github repository](https://github.com/pupil-labs/densepose-module) and the associated [read the docs](https://densepose-module.readthedocs.io/).
 
-::: tip 
+::: tip
 Need assistance implementing your own DensePose + gaze tracking application? Reach out to us via email at [info@pupil-labs.com](mailto:info@pupil-labs.com), on our [Discord server](https://pupil-labs.com/chat/), or visit our [Support Page](https://pupil-labs.com/products/support/) for formal support options.
-:::
\ No newline at end of file
+:::
diff --git a/src/media/alpha-lab/Settings-gaze-controlled-cursor-demo.png b/alpha-lab/gaze-contingency-assistive/Settings-gaze-controlled-cursor-demo.png
similarity index 100%
rename from src/media/alpha-lab/Settings-gaze-controlled-cursor-demo.png
rename to alpha-lab/gaze-contingency-assistive/Settings-gaze-controlled-cursor-demo.png
diff --git a/src/alpha-lab/gaze_contingency_assistive.md b/alpha-lab/gaze-contingency-assistive/index.md
similarity index 90%
rename from src/alpha-lab/gaze_contingency_assistive.md
rename to alpha-lab/gaze-contingency-assistive/index.md
index a52c7d92c..ca4b3a063 100644
--- a/src/alpha-lab/gaze_contingency_assistive.md
+++ b/alpha-lab/gaze-contingency-assistive/index.md
@@ -18,9 +18,14 @@ meta:
 tags: [Neon]
 ---
 
+<script setup>
+import TagLinks from '@components/TagLinks.vue'
+</script>
+
 # A practical guide to implementing gaze contingency for assistive technology
 
-<TagLinks />
+<TagLinks :tags="$frontmatter.tags" />
+
 <Youtube src="cuvWqVOAc5M"/>
 
 ::: tip
@@ -48,8 +53,8 @@ computer, and map gaze into the coordinate system of the screen.
 
 To locate the screen, we use [AprilTags](https://april.eecs.umich.edu/software/apriltag) to identify the image of the
 screen as it appears in Neon’s scene camera. Gaze data is transferred to the computer via Neon's
-[Real-time API](/neon/real-time-api/introduction/). We then transform gaze from _scene camera_ to _screen-based_
-coordinates using a [homography](<https://en.m.wikipedia.org/wiki/Homography_(computer_vision)>) approach like the [Marker Mapper](/enrichments/marker-mapper/)
+[Real-time API](https://docs.pupil-labs.com/neon/real-time-api/tutorials/). We then transform gaze from _scene camera_ to _screen-based_
+coordinates using a [homography](<https://en.m.wikipedia.org/wiki/Homography_(computer_vision)>) approach like the [Marker Mapper](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/marker-mapper/)
 enrichment we offer in Pupil Cloud as a post-hoc solution. The heavy lifting of all this is handled by
 our [Real-time Screen Gaze](https://github.com/pupil-labs/realtime-screen-gaze/) package (written for this guide).
 
@@ -68,13 +73,13 @@ Follow the steps in the next section to be able to use your gaze to navigate a w
 ## Steps
 
 1. Follow the instructions in [Gaze-controlled Cursor Demo](https://github.com/pupil-labs/gaze-controlled-cursor-demo) to download and run it locally on your computer.
-2. Start up [Neon](/neon/getting-started/first-recording.html), make sure it’s detected in the demo window, then check out the settings:
+2. Start up [Neon](https://docs.pupil-labs.com/neon/getting-started/first-recording/), make sure it’s detected in the demo window, then check out the settings:
    - Adjust the `Tag Size` and `Tag Brightness` settings as necessary until all four AprilTag markers are successfully tracked (markers that are not tracked will display a red border as shown in the image below).
    - Modify the `Dwell Radius` and `Dwell Time` values to customize the size of the gaze circle and the dwell time required for gaze to trigger a mouse action.
    - Click on `Mouse Control` and embark on your journey into the realm of gaze contingency.
    - Right-click anywhere in the window or on any of the tags to show or hide the settings window.
 
-<img src="../media/alpha-lab/Settings-gaze-controlled-cursor-demo.png"/>
+![Gaze-controlled Cursor Demo settings](./Settings-gaze-controlled-cursor-demo.png)
 
 ## What's next?
 
diff --git a/src/alpha-lab/gaze-metrics-in-aois/.gitignore b/alpha-lab/gaze-metrics-in-aois/.gitignore
similarity index 100%
rename from src/alpha-lab/gaze-metrics-in-aois/.gitignore
rename to alpha-lab/gaze-metrics-in-aois/.gitignore
diff --git a/alpha-lab/gaze-metrics-in-aois/README.ipynb b/alpha-lab/gaze-metrics-in-aois/README.ipynb
new file mode 100644
index 000000000..a0786fdfe
--- /dev/null
+++ b/alpha-lab/gaze-metrics-in-aois/README.ipynb
@@ -0,0 +1,654 @@
+{
+  "cells": [
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "035c4370",
+      "metadata": {},
+      "source": [
+        "---\n",
+        "description: Guide on defining AoIs and calculating gaze metrics\n",
+        "isNotebook: true\n",
+        "permalink: /alpha-lab/gaze-metrics-in-aois/\n",
+        "tags: [Pupil Invisible, Neon, Cloud]\n",
+        "---\n",
+        "\n",
+        "# Define AOIs and Calculate Gaze Metrics\n",
+        "\n",
+        "<TagLinks />\n",
+        "\n",
+        "After mapping gaze to the environment, e.g. by using the [Reference Image Mapper](https://docs.pupil-labs.com/pupil-cloud/enrichments/reference-image-mapper/), it is a common goal to compare gaze behavior on different objects of interest within the environment. An easy way to facilitate this using the Reference Image Mapper is to define areas of interest (AOIs), also known as regions of interest (ROIs), in the reference image, and to compare them with various gaze metrics like e.g. dwell time. \n",
+        "\n",
+        "In this guide, we will show you how to mark AOIs on a reference image, how to label which AOI a fixation was made on, and how to aggregate metrics from fixation data inside these AOIs.\n",
+        "\n",
+        "As an example we will use the recordings and enrichment of the art gallery study available in the [demo workspace](https://cloud.pupil-labs.com/workspace/78cddeee-772e-4e54-9963-1cc2f62825f9/project/cdfde655-3c8a-45c5-b6e2-5d5754d7a4f0/edit). We will address questions like \"How many visitors looked at each painting?\", \"How soon after arriving did visitors look at each painting?\", and \"How long did visitors look at each painting?\"."
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "7302ffb0",
+      "metadata": {},
+      "source": [
+        "## Dependencies of this Guide\n",
+        "\n",
+        "You can find all code from this guide as well as the used example data [here](https://github.com/pupil-labs/pupil-docs/tree/master/src/alpha-lab/gaze-metrics-in-aois/). The example data originates from the Reference Image Mapper enrichment called `multiple_paintings_standing` located in the demo workspace [here](https://cloud.pupil-labs.com/workspace/78cddeee-772e-4e54-9963-1cc2f62825f9/project/cdfde655-3c8a-45c5-b6e2-5d5754d7a4f0/enrich?search=multiple_paintings_standing). \n",
+        "\n",
+        "To execute it you need to have the following libraries installed:\n",
+        "\n",
+        "```pip install matplotlib pandas opencv-python seaborn```"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "f5bfc47e",
+      "metadata": {},
+      "source": [
+        "## Define AOIs in the Reference Image\n",
+        "\n",
+        "The reference image `reference_image.jpeg` is located inside the enrichment folder. \n",
+        "\n",
+        "An easy way to define AOIs in the image is to use the `cv2.selectROIs` method from [OpenCV](https://docs.opencv.org/3.4/d7/dfc/group__highgui.html#ga0f11fad74a6432b8055fb21621a0f893).\n",
+        "When executing this method, a window with the reference image will appear.\n",
+        "Mark the AOIs by dragging rectangles over the areas you want your AOIs to cover. Hit the space key after each AOI and once you are done close the selection with the escape key.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "866c2f0c",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import cv2\n",
+        "\n",
+        "# load the reference image\n",
+        "reference_image_bgr = cv2.imread(\"data/reference_image.jpeg\")\n",
+        "reference_image = cv2.cvtColor(reference_image_bgr, cv2.COLOR_BGR2RGB)\n",
+        "\n",
+        "# resize the image before labelling AOIs makes the image stay in the screen boundaries\n",
+        "scaling_factor = 0.25\n",
+        "scaled_image = reference_image_bgr.copy()\n",
+        "scaled_image = cv2.resize(\n",
+        "    scaled_image, dsize=None, fx=scaling_factor, fy=scaling_factor\n",
+        ")\n",
+        "\n",
+        "# mark the AOIs\n",
+        "scaled_aois = cv2.selectROIs(\"AOI Annotation\", scaled_image)\n",
+        "cv2.destroyAllWindows()\n",
+        "\n",
+        "# scale back the position of AOIs\n",
+        "aois = scaled_aois / scaling_factor\n",
+        "print(scaled_aois)"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "844b51be",
+      "metadata": {},
+      "source": [
+        "If you want to use the same AOIs as this guide is using, you can uncomment the following code rather than defining your own AOIs."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "id": "8a450ac4",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import numpy as np\n",
+        "\n",
+        "# aois = np.array(\n",
+        "#     [[ 512.,  136.,  588.,  572.],\n",
+        "#     [1448.,  700.,  392.,  456.],\n",
+        "#     [1872.,  300.,  652.,  864.],\n",
+        "#     [2584.,  788.,  456.,  576.],\n",
+        "#     [3044.,  928.,  452.,  416.],\n",
+        "#     [3212.,  232.,  504.,  492.],\n",
+        "#     [ 892., 1256., 1636.,  880.],\n",
+        "#     [2628., 1388.,  844.,  648.],\n",
+        "#     [ 696., 2492.,  428.,  476.],\n",
+        "#     [1232., 2304.,  364.,  408.],\n",
+        "#     [1980., 2280.,  556.,  700.],\n",
+        "#     [2576., 2064.,  856.,  936.]]\n",
+        "# )"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "85087668",
+      "metadata": {},
+      "source": [
+        "## Overlaying Areas of Interest on the Reference Image\n",
+        "Now, we visually check whether the AOIs we defined match up with our reference image. We define a `plot_color_patches` function, which we will use throughout the rest of this guide."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "id": "65dbdca7",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import matplotlib as mpl\n",
+        "import matplotlib.pyplot as plt\n",
+        "from matplotlib import patches\n",
+        "import seaborn as sns\n",
+        "sns.set_context(\"talk\")\n",
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "\n",
+        "\n",
+        "def plot_color_patches(\n",
+        "    image,\n",
+        "    aoi_positions,\n",
+        "    aoi_values,\n",
+        "    ax,\n",
+        "    alpha=0.3,\n",
+        "    colorbar=False,\n",
+        "    unit_label=\"\"\n",
+        "):\n",
+        "    ax.imshow(image)\n",
+        "    ax.axis(\"off\")\n",
+        "\n",
+        "    # normalize patch values\n",
+        "    aoi_values_normed = aoi_values.astype(np.float32)\n",
+        "    aoi_values_normed -= aoi_values_normed.min()\n",
+        "    aoi_values_normed /= aoi_values_normed.max()\n",
+        "\n",
+        "    colors = mpl.cm.get_cmap(\"viridis\")\n",
+        "\n",
+        "    # for patch_idx, (aoi, value) in enumerate(zip(patch_position, patch_values_normed)):\n",
+        "    for aoi_id, aoi_val in aoi_values_normed.iteritems():\n",
+        "        aoi = aoi_positions[aoi_id]\n",
+        "        ax.add_patch(\n",
+        "            patches.Rectangle(\n",
+        "                aoi,\n",
+        "                *aoi[2:],\n",
+        "                alpha=alpha,\n",
+        "                facecolor=colors(aoi_val),\n",
+        "                edgecolor=colors(aoi_val),\n",
+        "                linewidth=5\n",
+        "            )\n",
+        "        )\n",
+        "        ax.text(aoi[0] + 20, aoi[1] + 120, f\"{aoi_id}\", color=\"black\")\n",
+        "    \n",
+        "    if colorbar:\n",
+        "        norm = mpl.colors.Normalize(vmin=aoi_values.min(), vmax=aoi_values.max())\n",
+        "        cb = plt.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=colors), ax=ax)\n",
+        "        cb.set_label(unit_label)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 4,
+      "id": "b369cca5",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 720x504 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          },
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "plt.figure(figsize=(10, 7))\n",
+        "\n",
+        "aoi_ids = pd.Series(np.arange(len(aois)))\n",
+        "plot_color_patches(reference_image, aois, aoi_ids, plt.gca())"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "128f49f2",
+      "metadata": {},
+      "source": [
+        "## Map Fixations to AOIs\n",
+        "\n",
+        "Next up, we want to match the fixation coordinates to the AOIs. This is comparable to asking for every x/y coordinate pair that defines a fixation if that pair is inside any of the rectangles."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 82,
+      "id": "c25887f9",
+      "metadata": {
+        "scrolled": false
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div class='grid'><table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>section id</th>\n",
+              "      <th>recording id</th>\n",
+              "      <th>fixation id</th>\n",
+              "      <th>start timestamp [ns]</th>\n",
+              "      <th>end timestamp [ns]</th>\n",
+              "      <th>duration [ms]</th>\n",
+              "      <th>fixation detected in reference image</th>\n",
+              "      <th>fixation x [px]</th>\n",
+              "      <th>fixation y [px]</th>\n",
+              "      <th>AOI</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>\n",
+              "      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>\n",
+              "      <td>248</td>\n",
+              "      <td>1636035560036503914</td>\n",
+              "      <td>1636035560236515914</td>\n",
+              "      <td>200</td>\n",
+              "      <td>True</td>\n",
+              "      <td>2419.0</td>\n",
+              "      <td>2138.0</td>\n",
+              "      <td>None</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>\n",
+              "      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>\n",
+              "      <td>249</td>\n",
+              "      <td>1636035560256651914</td>\n",
+              "      <td>1636035560480505914</td>\n",
+              "      <td>223</td>\n",
+              "      <td>True</td>\n",
+              "      <td>2224.0</td>\n",
+              "      <td>1717.0</td>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>\n",
+              "      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>\n",
+              "      <td>250</td>\n",
+              "      <td>1636035560500491914</td>\n",
+              "      <td>1636035560740669914</td>\n",
+              "      <td>240</td>\n",
+              "      <td>True</td>\n",
+              "      <td>2427.0</td>\n",
+              "      <td>1559.0</td>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>\n",
+              "      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>\n",
+              "      <td>251</td>\n",
+              "      <td>1636035560776494914</td>\n",
+              "      <td>1636035560972502914</td>\n",
+              "      <td>196</td>\n",
+              "      <td>True</td>\n",
+              "      <td>1935.0</td>\n",
+              "      <td>1119.0</td>\n",
+              "      <td>None</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>\n",
+              "      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>\n",
+              "      <td>252</td>\n",
+              "      <td>1636035561008557914</td>\n",
+              "      <td>1636035561168510914</td>\n",
+              "      <td>159</td>\n",
+              "      <td>True</td>\n",
+              "      <td>2828.0</td>\n",
+              "      <td>1668.0</td>\n",
+              "      <td>None</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table></div>"
+            ],
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ]
+          },
+          "execution_count": 82,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "import pandas as pd\n",
+        "from IPython.display import HTML\n",
+        "\n",
+        "fixations = pd.read_csv(\"data/fixations.csv\")\n",
+        "# filter for fixations that are in the reference image\n",
+        "fixations = fixations[fixations[\"fixation detected in reference image\"]]\n",
+        "\n",
+        "fixations[\"AOI\"] = None\n",
+        "\n",
+        "def check_in_rect(fixation_data, rectangle_coordinates):\n",
+        "    rect_x, rect_y, rect_width, rect_height = rectangle_coordinates\n",
+        "    x_hit = fixation_data[\"fixation x [px]\"].between(rect_x, rect_x + rect_width)\n",
+        "    y_hit = fixation_data[\"fixation y [px]\"].between(rect_y, rect_y + rect_height)\n",
+        "    return x_hit & y_hit\n",
+        "\n",
+        "for aoi_id, aoi in enumerate(aois):\n",
+        "    fixations.loc[check_in_rect(fixations, aoi), \"AOI\"] = aoi_id\n",
+        "\n",
+        "fixations.head()\n",
+        "head = fixations.head()\n",
+        "html = head.to_html()\n",
+        "HTML(\"<div class='grid'>\" + html + \"</div>\")"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "c6df0c9d",
+      "metadata": {},
+      "source": [
+        "You can now see the new column \"AOI\". This column indicates whether gaze fell inside a given AOI."
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "ce483ef0",
+      "metadata": {},
+      "source": [
+        "## Aggregating Fixation Metrics Inside AOIs\n",
+        "\n",
+        "Using the defined AOIs and the mapped fixation data we can now calculate various metrics to compare gaze behaviour on the AOIs."
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "23ec6e0f",
+      "metadata": {},
+      "source": [
+        "### AOI Hit Rate\n",
+        "\n",
+        "The Hit Rate of an AOI is defined as the proportion of subjects that looked at the AOI at least once. \n",
+        "A Hit Rate of 100% means, every subject we recorded looked at the AOI, a Hit Rate of 50% indicates that only every second subject looked at the AOI, etc."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "id": "19b0a0d4",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "AOI\n",
+              "0    100.0\n",
+              "1     60.0\n",
+              "2    100.0\n",
+              "3     40.0\n",
+              "4      0.0\n",
+              "dtype: float64"
+            ]
+          },
+          "execution_count": 6,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "hits = fixations.groupby([\"recording id\", \"AOI\"]).size() > 0\n",
+        "hit_rate = hits.groupby(\"AOI\").sum() / fixations[\"recording id\"].nunique() * 100\n",
+        "\n",
+        "# AOIs that have never been gazed at do not show up in the fixations data\n",
+        "# so we need to set them to 0 manually\n",
+        "for aoi_id in range(len(aois)):\n",
+        "    if not aoi_id in hit_rate.index:\n",
+        "        hit_rate.loc[aoi_id] = 0\n",
+        "\n",
+        "hit_rate.sort_index(inplace=True)\n",
+        "hit_rate.head()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 7,
+      "id": "19da4dc7",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 1296x432 with 3 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          },
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "fig, ax = plt.subplots(ncols=2, figsize=(18, 6))\n",
+        "\n",
+        "sns.barplot(x=hit_rate.index, y=hit_rate, ax=ax[0])\n",
+        "\n",
+        "ax[0].set_xlabel(\"AOI ID\")\n",
+        "ax[0].set_ylabel(\"Hit Rate [%]\");\n",
+        "\n",
+        "plot_color_patches(reference_image, aois, hit_rate, ax[1], colorbar=True, unit_label=\"Hit Rate [%]\")"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "e92675bb",
+      "metadata": {},
+      "source": [
+        "### Time to First Contact\n",
+        "Time to First Contact measures how long it took observers to look at an AOI for the first time. Short times to first contact mean that the observers looked at the AOI early during the section.\n",
+        "\n",
+        "We can compute time to first contact as the difference between the time when the first fixation was registered on an AOI and the time when the section started. So first, we need the information when each section started."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 8,
+      "id": "3433c65c",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "sections = pd.read_csv(\"data/sections.csv\")\n",
+        "sections.set_index(\"section id\", inplace=True)\n",
+        "\n",
+        "# compute the difference for the respective section\n",
+        "for section_id, start_time in sections[\"section start time [ns]\"].iteritems():\n",
+        "    fixation_indices = fixations[fixations[\"section id\"] == section_id].index\n",
+        "    fixations.loc[fixation_indices, \"aligned timestamp [s]\"] = (fixations.loc[fixation_indices, \"start timestamp [ns]\"] - start_time) / 1e9"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "6673adfa",
+      "metadata": {},
+      "source": [
+        "Next, we aggregate the fixation data by section id and AOI, and extract the lowest value from the \"aligned timestamp [s]\" column. This is the time when the very first fixation on that AOI appeared in this session."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 9,
+      "id": "5af5bbc7",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "AOI\n",
+              "0      5.717699\n",
+              "1      4.106685\n",
+              "2      0.924827\n",
+              "3      4.236960\n",
+              "6      0.880846\n",
+              "7      2.774175\n",
+              "8      9.038934\n",
+              "9      8.679888\n",
+              "10     6.706401\n",
+              "11    20.301783\n",
+              "Name: aligned timestamp [s], dtype: float64"
+            ]
+          },
+          "execution_count": 9,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "first_contact = fixations.groupby([\"section id\", \"AOI\"])[\"aligned timestamp [s]\"].min()\n",
+        "first_contact = first_contact.groupby(\"AOI\").mean()\n",
+        "first_contact"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 10,
+      "id": "3bf7fff3",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 1296x432 with 3 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          },
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "fig, ax = plt.subplots(ncols=2, figsize=(18, 6))\n",
+        "\n",
+        "sns.barplot(x=first_contact.index, y=first_contact, ax=ax[0])\n",
+        "\n",
+        "ax[0].set_xlabel(\"AOI ID\")\n",
+        "ax[0].set_ylabel(\"Time to first contact [s]\");\n",
+        "\n",
+        "plot_color_patches(reference_image, aois, first_contact, ax[1], colorbar=True, unit_label=\"Time to first contact [s]\")"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "id": "b0764364",
+      "metadata": {},
+      "source": [
+        "### Dwell Time\n",
+        "\n",
+        "Dwell Time describes the total time an observer has looked at a given AOI on average. We can find the dwell time for each subject by summing up the durations of all fixations we detected, separately for each AOI and subject. Then we calculate the mean over all subjects."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 11,
+      "id": "54106833",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "AOI\n",
+              "0    1.0240\n",
+              "1    0.4230\n",
+              "2    1.6328\n",
+              "3    0.8660\n",
+              "6    2.7958\n",
+              "Name: duration [ms], dtype: float64"
+            ]
+          },
+          "execution_count": 11,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "dwell_time = fixations.groupby([\"recording id\", \"AOI\"])[\"duration [ms]\"].sum()\n",
+        "dwell_time = dwell_time.groupby(\"AOI\").mean()\n",
+        "dwell_time /= 1000\n",
+        "\n",
+        "dwell_time.head()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 12,
+      "id": "b41dd454",
+      "metadata": {
+        "scrolled": true
+      },
+      "outputs": [
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 1296x432 with 3 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          },
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "fig, ax = plt.subplots(ncols=2, figsize=(18, 6))\n",
+        "\n",
+        "sns.barplot(x=dwell_time.index, y=dwell_time, ax=ax[0])\n",
+        "\n",
+        "ax[0].set_xlabel(\"AOI ID\")\n",
+        "ax[0].set_ylabel(\"Dwell Time [s]\");\n",
+        "\n",
+        "plot_color_patches(reference_image, aois, dwell_time, ax[1], colorbar=True, unit_label=\"Dwell Time [s]\")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3.10.6 64-bit",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.10.6"
+    },
+    "vscode": {
+      "interpreter": {
+        "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
+      }
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 5
+}
diff --git a/src/alpha-lab/gaze-metrics-in-aois/data/enrichment_info.txt b/alpha-lab/gaze-metrics-in-aois/data/enrichment_info.txt
similarity index 100%
rename from src/alpha-lab/gaze-metrics-in-aois/data/enrichment_info.txt
rename to alpha-lab/gaze-metrics-in-aois/data/enrichment_info.txt
diff --git a/src/alpha-lab/gaze-metrics-in-aois/data/fixations.csv b/alpha-lab/gaze-metrics-in-aois/data/fixations.csv
similarity index 100%
rename from src/alpha-lab/gaze-metrics-in-aois/data/fixations.csv
rename to alpha-lab/gaze-metrics-in-aois/data/fixations.csv
diff --git a/src/alpha-lab/gaze-metrics-in-aois/data/gaze.csv b/alpha-lab/gaze-metrics-in-aois/data/gaze.csv
similarity index 100%
rename from src/alpha-lab/gaze-metrics-in-aois/data/gaze.csv
rename to alpha-lab/gaze-metrics-in-aois/data/gaze.csv
diff --git a/src/alpha-lab/gaze-metrics-in-aois/data/reference_image.jpeg b/alpha-lab/gaze-metrics-in-aois/data/reference_image.jpeg
similarity index 100%
rename from src/alpha-lab/gaze-metrics-in-aois/data/reference_image.jpeg
rename to alpha-lab/gaze-metrics-in-aois/data/reference_image.jpeg
diff --git a/src/alpha-lab/gaze-metrics-in-aois/data/sections.csv b/alpha-lab/gaze-metrics-in-aois/data/sections.csv
similarity index 100%
rename from src/alpha-lab/gaze-metrics-in-aois/data/sections.csv
rename to alpha-lab/gaze-metrics-in-aois/data/sections.csv
diff --git a/alpha-lab/gaze-metrics-in-aois/index.md b/alpha-lab/gaze-metrics-in-aois/index.md
new file mode 100644
index 000000000..b54454ebd
--- /dev/null
+++ b/alpha-lab/gaze-metrics-in-aois/index.md
@@ -0,0 +1,385 @@
+---
+description: Guide on defining AoIs and calculating gaze metrics
+isNotebook: true
+tags: [Pupil Invisible, Cloud]
+---
+
+<script setup>
+import TagLinks from '@components/TagLinks.vue'
+</script>
+
+# Define AOIs and Calculate Gaze Metrics
+
+<TagLinks :tags="$frontmatter.tags" />
+
+After mapping gaze to the environment, e.g. by using the [Reference Image Mapper](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/reference-image-mapper/), it is a common goal to compare gaze behavior on different objects of interest within the environment. An easy way to facilitate this using the Reference Image Mapper is to define areas of interest (AOIs), also known as regions of interest (ROIs), in the reference image, and to compare them with various gaze metrics like e.g. dwell time.
+
+In this guide, we will show you how to mark AOIs on a reference image, how to label which AOI a fixation was made on, and how to aggregate metrics from fixation data inside these AOIs.
+
+As an example we will use the recordings and enrichment of the art gallery study available in the [demo workspace](https://cloud.pupil-labs.com/workspace/78cddeee-772e-4e54-9963-1cc2f62825f9/project/cdfde655-3c8a-45c5-b6e2-5d5754d7a4f0/edit). We will address questions like "How many visitors looked at each painting?", "How soon after arriving did visitors look at each painting?", and "How long did visitors look at each painting?".
+
+## Dependencies of this Guide
+
+You can find all code from this guide as well as the used example data [here](https://github.com/pupil-labs/pupil-docs/tree/master/src/alpha-lab/gaze-metrics-in-aois/). The example data originates from the Reference Image Mapper enrichment called `multiple_paintings_standing` located in the demo workspace [here](https://cloud.pupil-labs.com/workspace/78cddeee-772e-4e54-9963-1cc2f62825f9/project/cdfde655-3c8a-45c5-b6e2-5d5754d7a4f0/enrich?search=multiple_paintings_standing).
+
+To execute it you need to have the following libraries installed:
+
+`pip install matplotlib pandas opencv-python seaborn`
+
+## Define AOIs in the Reference Image
+
+The reference image `reference_image.jpeg` is located inside the enrichment folder.
+
+An easy way to define AOIs in the image is to use the `cv2.selectROIs` method from [OpenCV](https://docs.opencv.org/3.4/d7/dfc/group__highgui.html#ga0f11fad74a6432b8055fb21621a0f893).
+When executing this method, a window with the reference image will appear.
+Mark the AOIs by dragging rectangles over the areas you want your AOIs to cover. Hit the space key after each AOI and once you are done close the selection with the escape key.
+
+```python
+import cv2
+
+# load the reference image
+reference_image_bgr = cv2.imread("data/reference_image.jpeg")
+reference_image = cv2.cvtColor(reference_image_bgr, cv2.COLOR_BGR2RGB)
+
+# resize the image before labelling AOIs makes the image stay in the screen boundaries
+scaling_factor = 0.25
+scaled_image = reference_image_bgr.copy()
+scaled_image = cv2.resize(
+    scaled_image, dsize=None, fx=scaling_factor, fy=scaling_factor
+)
+
+# mark the AOIs
+scaled_aois = cv2.selectROIs("AOI Annotation", scaled_image)
+cv2.destroyAllWindows()
+
+# scale back the position of AOIs
+aois = scaled_aois / scaling_factor
+print(scaled_aois)
+```
+
+If you want to use the same AOIs as this guide is using, you can uncomment the following code rather than defining your own AOIs.
+
+```python
+import numpy as np
+
+# aois = np.array(
+#     [[ 512.,  136.,  588.,  572.],
+#     [1448.,  700.,  392.,  456.],
+#     [1872.,  300.,  652.,  864.],
+#     [2584.,  788.,  456.,  576.],
+#     [3044.,  928.,  452.,  416.],
+#     [3212.,  232.,  504.,  492.],
+#     [ 892., 1256., 1636.,  880.],
+#     [2628., 1388.,  844.,  648.],
+#     [ 696., 2492.,  428.,  476.],
+#     [1232., 2304.,  364.,  408.],
+#     [1980., 2280.,  556.,  700.],
+#     [2576., 2064.,  856.,  936.]]
+# )
+```
+
+## Overlaying Areas of Interest on the Reference Image
+
+Now, we visually check whether the AOIs we defined match up with our reference image. We define a `plot_color_patches` function, which we will use throughout the rest of this guide.
+
+```python
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+from matplotlib import patches
+import seaborn as sns
+sns.set_context("talk")
+import pandas as pd
+import numpy as np
+
+
+def plot_color_patches(
+    image,
+    aoi_positions,
+    aoi_values,
+    ax,
+    alpha=0.3,
+    colorbar=False,
+    unit_label=""
+):
+    ax.imshow(image)
+    ax.axis("off")
+
+    # normalize patch values
+    aoi_values_normed = aoi_values.astype(np.float32)
+    aoi_values_normed -= aoi_values_normed.min()
+    aoi_values_normed /= aoi_values_normed.max()
+
+    colors = mpl.cm.get_cmap("viridis")
+
+    # for patch_idx, (aoi, value) in enumerate(zip(patch_position, patch_values_normed)):
+    for aoi_id, aoi_val in aoi_values_normed.iteritems():
+        aoi = aoi_positions[aoi_id]
+        ax.add_patch(
+            patches.Rectangle(
+                aoi,
+                *aoi[2:],
+                alpha=alpha,
+                facecolor=colors(aoi_val),
+                edgecolor=colors(aoi_val),
+                linewidth=5
+            )
+        )
+        ax.text(aoi[0] + 20, aoi[1] + 120, f"{aoi_id}", color="black")
+
+    if colorbar:
+        norm = mpl.colors.Normalize(vmin=aoi_values.min(), vmax=aoi_values.max())
+        cb = plt.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=colors), ax=ax)
+        cb.set_label(unit_label)
+```
+
+```python
+plt.figure(figsize=(10, 7))
+
+aoi_ids = pd.Series(np.arange(len(aois)))
+plot_color_patches(reference_image, aois, aoi_ids, plt.gca())
+```
+
+![png](data:image/png;base64,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)
+
+## Map Fixations to AOIs
+
+Next up, we want to match the fixation coordinates to the AOIs. This is comparable to asking for every x/y coordinate pair that defines a fixation if that pair is inside any of the rectangles.
+
+```python
+import pandas as pd
+from IPython.display import HTML
+
+fixations = pd.read_csv("data/fixations.csv")
+# filter for fixations that are in the reference image
+fixations = fixations[fixations["fixation detected in reference image"]]
+
+fixations["AOI"] = None
+
+def check_in_rect(fixation_data, rectangle_coordinates):
+    rect_x, rect_y, rect_width, rect_height = rectangle_coordinates
+    x_hit = fixation_data["fixation x [px]"].between(rect_x, rect_x + rect_width)
+    y_hit = fixation_data["fixation y [px]"].between(rect_y, rect_y + rect_height)
+    return x_hit & y_hit
+
+for aoi_id, aoi in enumerate(aois):
+    fixations.loc[check_in_rect(fixations, aoi), "AOI"] = aoi_id
+
+fixations.head()
+head = fixations.head()
+html = head.to_html()
+HTML("<div class='grid'>" + html + "</div>")
+```
+
+<div class='grid'><table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>section id</th>
+      <th>recording id</th>
+      <th>fixation id</th>
+      <th>start timestamp [ns]</th>
+      <th>end timestamp [ns]</th>
+      <th>duration [ms]</th>
+      <th>fixation detected in reference image</th>
+      <th>fixation x [px]</th>
+      <th>fixation y [px]</th>
+      <th>AOI</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>
+      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>
+      <td>248</td>
+      <td>1636035560036503914</td>
+      <td>1636035560236515914</td>
+      <td>200</td>
+      <td>True</td>
+      <td>2419.0</td>
+      <td>2138.0</td>
+      <td>None</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>
+      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>
+      <td>249</td>
+      <td>1636035560256651914</td>
+      <td>1636035560480505914</td>
+      <td>223</td>
+      <td>True</td>
+      <td>2224.0</td>
+      <td>1717.0</td>
+      <td>2</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>
+      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>
+      <td>250</td>
+      <td>1636035560500491914</td>
+      <td>1636035560740669914</td>
+      <td>240</td>
+      <td>True</td>
+      <td>2427.0</td>
+      <td>1559.0</td>
+      <td>2</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>
+      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>
+      <td>251</td>
+      <td>1636035560776494914</td>
+      <td>1636035560972502914</td>
+      <td>196</td>
+      <td>True</td>
+      <td>1935.0</td>
+      <td>1119.0</td>
+      <td>None</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>
+      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>
+      <td>252</td>
+      <td>1636035561008557914</td>
+      <td>1636035561168510914</td>
+      <td>159</td>
+      <td>True</td>
+      <td>2828.0</td>
+      <td>1668.0</td>
+      <td>None</td>
+    </tr>
+  </tbody>
+</table></div>
+
+You can now see the new column "AOI". This column indicates whether gaze fell inside a given AOI.
+
+## Aggregating Fixation Metrics Inside AOIs
+
+Using the defined AOIs and the mapped fixation data we can now calculate various metrics to compare gaze behaviour on the AOIs.
+
+### AOI Hit Rate
+
+The Hit Rate of an AOI is defined as the proportion of subjects that looked at the AOI at least once.
+A Hit Rate of 100% means, every subject we recorded looked at the AOI, a Hit Rate of 50% indicates that only every second subject looked at the AOI, etc.
+
+```python
+hits = fixations.groupby(["recording id", "AOI"]).size() > 0
+hit_rate = hits.groupby("AOI").sum() / fixations["recording id"].nunique() * 100
+
+# AOIs that have never been gazed at do not show up in the fixations data
+# so we need to set them to 0 manually
+for aoi_id in range(len(aois)):
+    if not aoi_id in hit_rate.index:
+        hit_rate.loc[aoi_id] = 0
+
+hit_rate.sort_index(inplace=True)
+hit_rate.head()
+```
+
+    AOI
+    0    100.0
+    1     60.0
+    2    100.0
+    3     40.0
+    4      0.0
+    dtype: float64
+
+```python
+fig, ax = plt.subplots(ncols=2, figsize=(18, 6))
+
+sns.barplot(x=hit_rate.index, y=hit_rate, ax=ax[0])
+
+ax[0].set_xlabel("AOI ID")
+ax[0].set_ylabel("Hit Rate [%]");
+
+plot_color_patches(reference_image, aois, hit_rate, ax[1], colorbar=True, unit_label="Hit Rate [%]")
+```
+
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)
+
+### Time to First Contact
+
+Time to First Contact measures how long it took observers to look at an AOI for the first time. Short times to first contact mean that the observers looked at the AOI early during the section.
+
+We can compute time to first contact as the difference between the time when the first fixation was registered on an AOI and the time when the section started. So first, we need the information when each section started.
+
+```python
+sections = pd.read_csv("data/sections.csv")
+sections.set_index("section id", inplace=True)
+
+# compute the difference for the respective section
+for section_id, start_time in sections["section start time [ns]"].iteritems():
+    fixation_indices = fixations[fixations["section id"] == section_id].index
+    fixations.loc[fixation_indices, "aligned timestamp [s]"] = (fixations.loc[fixation_indices, "start timestamp [ns]"] - start_time) / 1e9
+```
+
+Next, we aggregate the fixation data by section id and AOI, and extract the lowest value from the "aligned timestamp [s]" column. This is the time when the very first fixation on that AOI appeared in this session.
+
+```python
+first_contact = fixations.groupby(["section id", "AOI"])["aligned timestamp [s]"].min()
+first_contact = first_contact.groupby("AOI").mean()
+first_contact
+```
+
+    AOI
+    0      5.717699
+    1      4.106685
+    2      0.924827
+    3      4.236960
+    6      0.880846
+    7      2.774175
+    8      9.038934
+    9      8.679888
+    10     6.706401
+    11    20.301783
+    Name: aligned timestamp [s], dtype: float64
+
+```python
+fig, ax = plt.subplots(ncols=2, figsize=(18, 6))
+
+sns.barplot(x=first_contact.index, y=first_contact, ax=ax[0])
+
+ax[0].set_xlabel("AOI ID")
+ax[0].set_ylabel("Time to first contact [s]");
+
+plot_color_patches(reference_image, aois, first_contact, ax[1], colorbar=True, unit_label="Time to first contact [s]")
+```
+
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)
+
+### Dwell Time
+
+Dwell Time describes the total time an observer has looked at a given AOI on average. We can find the dwell time for each subject by summing up the durations of all fixations we detected, separately for each AOI and subject. Then we calculate the mean over all subjects.
+
+```python
+dwell_time = fixations.groupby(["recording id", "AOI"])["duration [ms]"].sum()
+dwell_time = dwell_time.groupby("AOI").mean()
+dwell_time /= 1000
+
+dwell_time.head()
+```
+
+    AOI
+    0    1.0240
+    1    0.4230
+    2    1.6328
+    3    0.8660
+    6    2.7958
+    Name: duration [ms], dtype: float64
+
+```python
+fig, ax = plt.subplots(ncols=2, figsize=(18, 6))
+
+sns.barplot(x=dwell_time.index, y=dwell_time, ax=ax[0])
+
+ax[0].set_xlabel("AOI ID")
+ax[0].set_ylabel("Dwell Time [s]");
+
+plot_color_patches(reference_image, aois, dwell_time, ax[1], colorbar=True, unit_label="Dwell Time [s]")
+```
+
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K7vbOtqw/jxGCsmUS8petaTrJ77x+C8B3WXbux77DhuG6+P27RhaeEj9/Bt/37MBCR7xGRPyYiPy8i1yLypoj8SRH5lgOu/UMioiN/73yoTj0DZBeYjIyMjIyMjIwXEv0f/om86O1/7vhxPhb0cFzk0S/TtDhqgKTrD1ct9Mt06kmy+h6x0FVVtKOUjvLER2LBanwfjTM1qUrBJNLmFrvN7Vyl+Tlc3RDPhitiLJCWz5Hu2Z1uNvv61v+cCJlUUUw0OrBdW5Kia2C29exauybwpghdYiS4zkBKzztm+B66Az52b47347ZrsPu6dO1t1BHjz9B43zUqs3YFJk3zqn5AtCXijLoJ6Dnswz53ljGidOzcPpJkWG+zniOXDMuOve+3lVRm7ed99Y2j07ctZ6OWXBzOXbMuvfVKf6ZX5iZ0y6kqXiJt1RuXG7/4GcF9NLqF3w28BPx7wM8CrwK/H/gJEfluVf3RA+r4h4DLzufNM+/lLZEJkIyMjIyMjIyMFxpdEqRzuPO7ffhjfxy33+Vu2x8v25WJ/+I79ZaSAwH1nr/yI/8dP/ajf4VHjz7g6OiYb/u27+Af/i3fy3Q2HXETGWSC0UTKdKtts+Kk0Br9XWLpESAiu8mNsd3g7fG277/u03NUpBdQtXdVEzRhQFZttXwY+uTMsO9t7dvqm3Y+kvHXzerS9mZ7/KrdXfA2boJ0guY+j13vbdJgN1Gya732kSpj7/chERB729XO2u5Rrowdk+j2okiPsdNBkNtuHcNxdJ/9245xjLDx3u9MfztUk+w83/k3jSg9fxoVIeMExQ2IfEdL2LaEyC4Sbbxe7fRlR1M7iKHUbqQioenD7ZVJt8FHFAPkn1fV97oHROQvAL8E/MvA7zygjr+mqo+fQ9+eGpkAycjIyMjIyMh4wZBcEdpdd0i7l8lLQUTwQJeMOAwdo047dXbaHuwz06oOtnraGOaj7Qt835/9k/zIX/khvvmbv43f9Ju+h3fffYe/8lf+W9768pv87t/9LyJmO1ZG1x5sPAYkBiGkze4ybLGrtGjJjhHyqDPW7vv0sWsYDa9TVdS0apyQLbRbSBp6oSU++gbzaOcHbaQ+pbUKLiemGVd49YN5H78XwvVK627RJTqGLjHtWraKkHSN2XEf7CeQDsVt69hX/jZ17TJ0xz5vlQeCeGM8A0u/MtdZf9uE2JBe8Np4cIdBvct9o9vuIYqaIaHSex02LZ1n60DyqKVwxp+/tp4D0gmPqGN6cri2mztpiPAspXvbxWdcOuf6pIz3fieBIgo20i/bVNWzR3hyv/JpcIfkRzz2WES+CHzqQ1T9kSITIBkZGRkZGRkZLzzSHnObgaP5/b9DGr/PMOx8IhkgrfE/3OLvKytuwrpSqjqUf+/9d/iRH/nv+IZv/DZ+xz/5v0FE+Cbg6PQlfuD7/wR/9cd+gm/9tl/XjjIZd2hLgAznQQafMXTTtHZNr6dxoxjDtBSmk26cjN1I5FU7gG0j6+brD0NbNrmmwO41MpFACfeRNN0bkkDJ+LbNWEK/g8x/nDT56LDPXeYQl5dd6pLusf3PE9vPzkj9gdVLREeYy0Y10rtst8n6NO4a3Wt3kTtb9Uo/0bJ0VBv7lBvd57fN+rKPlmhJtl1DG6pN+u/71+nwQKdf4+5C/fXdp6jZVZ+IR3VIRH58ISIvA98M/PEDL/lZEXkFeA/4s8C/OkasfCWRCZCMjIyMjIyMjBcM4Qf4dvDJvjJh947sPvl/Oi+dCrd+vEfjYOjS0lV6bLtcBFQ1XK5CvV/4wl8DVb7113w3l8vWSPjV3/zr+cG/8Gf4wl//MT7/9d/RcR+Ihlvj1zI0Kraz4PR97z19/b5PLFE7tPhPOqJ93UivrfazZTqN40Wi201SeoypB4ZzNK7M6GJobPevaXs7dmzYbmugSlRwtLvHXYN9GNS2byQnt4VEeLT1d8seQurcVo3xrIzJ1L/b1tm9Ln0e7aN2CMSBkmG8vc6d1kzzmDtJX91wG5edMZJj1/V7vzu6RIMMaIyR744e6dLrQnKb6j5PbW2hqqfUKfTZp1vUo1vkSdP3Afa7WSUVlUH1OccAOSSo0W6cicjjfQVU9c5NlUiYjP+Q8MXxR24o/gvAvwJ8gRD34zcQ4od8j4h8h6o+urnbzweZAMnIyMjIyMjIeMEwNGgh/VgfkAKqN+yv9uvb3ukd2RFujOshCTIG7ZTpG+kIvPv2G4gIr33iM3SLlEXJK69+infefqNnE4XaYmBPuuREr5edEUvvZeuDdIukrBv94tKoRoS+gqS9WJpMKMG4Mw0Bohg/ni7zJuya13E1Q/dTV50B/b16HV8LuhlHApnRGm5EkiTdI+m9j4qRMPahm9OYguS2Y/2wZZ8VbqsU2n4+h25j/bJdEmZIECj0ns9kVHdVWcO69mGXGuxp78+G2Bh+V3SezZvr1sFrukdvo9bYHkv4vmpJl4aQG625JSy6BOWYWqbbZjOCkfPhUPu98vwgHyII6jN9nv4w8NuBf05Vf3ZfQVX9zwaH/pKI/CjwF4B/Hvg3n2XHboNMgGRkZGRkZGRkvIAIv7/7MRuSIdqTgY9eO0549AzYwbWtfD210619mOZWOmX66AYrXS/POTo65pUTz+OHvwQ+GNXGGE7mBV++vsQ//iKFLTrBRE1I95v4hvi2Z9cDimk3yiUZ8Wkspikv0dhKcQSsMeG4aWN1EM8ZMYi1zI7vMp0f89b7FUFF4oECiTE3vGybFbvcC25zbLdqwIZ+YKIaI7xvU9t6RNIOdCJHusSIGxAjdrCWbfv9PiSXq2Hml1T3MHbFOJ61SuSQa7tKmptiTDwttq48mAwaKEW0fR/6aiKl4jvXDMv0P+9SL+xz8dmHXfN3kBtXet7SJ0nuKsNr01xsUxZj/R1by+D2kp7ioQtLIidcLNuvf5ei7pB7ptsnr4B5vsSd/3BBUJ8covDYBxH5t4DfC/yLqvrHnqYOVf2LIvI28F0fpi8fFh8ZASIi3wP8s4QJ+DTwEPhx4A+q6k/dcO0fAv7gyKl3VfW1Z9zVjIyMjIyMjIyvKA51L7itvL13HvA6TCuZ6u1RI1ttDkrvKspms8Fay/XVOdcfvNsEfUQM6moAHj94l7IswJiG5VCVZse5NILENLfeawg8qIqJZpbEnXKTCBsjeA/Oh0gEquA9gAeVQK4YYVIYBI9JhouvmU4mFNOScjpHjo6jcdpSKP35izvNJrjEjJFOt9l5HyNCtkmV0HJLQHWVCNKsW1BxdN2odHB9tx7ousi0ZdOxtCbtdapjfRsnIA7BoWVvU+fNxNLt29kbC4TxvfY+Wem7VGaIdaNjbl072hi5l/aRA7vq2FV2F5HU61m6Z3Y10PI5nXbCPdi9r8Px8WflEJKnVXvEjE/pnuyNL5EvhkCCBFJJImuaqhsjeUaHtoNYNkQS5DniI0qDC4CI/BsEd5bfr6r//oesrh+o6SPAR6kA+VjmFc7IyMjIyMjIeBZoDQfomhujMnDY+nzILmawA/p1HWo49o30gaw/GjdlWbJer7i+usTXniDaMIgxOB92Zc2kwEsR2jaABJWD8wZVE5xTfKtMUUDVYUQppMaL4jVYXaV4fA1ePV5NcxwRlNCGmjDude0xJqhNtHaUJrTlFYxJ6opAxtBTw/RmgaFr/iFKkPE53He9tPMcXWC6E95mh0l2Rev6sq0GSUoSmjKhDjrXKsT52jZ1E7Fi9o4NDicsdhE+h+A2xvxt6jzkeJ/0SKE/++23RCYENVGrVoi1jjR0u77eRuFyGwJpL6EikcQZuJCER27craTbfiAmWnLuqeOAbDfQ+T7TjstLSuO8HST5NjFWBk2F45L++fhBRP4g8AeAP6Cqf/hD1vWbCTb/IXb+c8NHSYB8LPMKZ2RkZGRkZGQ8G8hgZ357J7Qx8tqtzK3yqdxoC5LUDdHsHTUadxvpSREwbJd4+OTklPfee4e6rvDqowhDsAKXV9fMplOUktobnINJqRTW9IIuttLv6PKiFdWjNzBHL8N0Auq5fPg+09kx5mSBV48imKh+dz5FKwjKj8ArhXZsESiVGg/GooSYGCohqwpUfYGLdHaeJZArxt/ecD/UwB4pwTb5MSTJNKo/umWGdRhCDJBh/a5TxhFcZczg2nG3l5sIh6dxgzlEiTEem+F2LhuH9rN7LqRn1ubRS9M/NobwCiK2I49wQZmgXXeRSAwEKm6r/fF6n5304DaKJRiUlZY621X39rE0L7GCiFE3F/rPXor7ATSpsrev96RetW11v0N3P4c729xC6yb2PPEhg6A+FUTk9wJ/iJC95QdF5O/tnF6r6hdiuR8CfpNq20kR+QLw/wF+HqiAXw/8PuBvA//3r0T/d+EjI0CG5Ec89li+yvMKZ2RkZGRkZGQ8S3T5jZuk2TAmP99lfLQxMLSjBhnW2TVOugqRbpW7fpp/6lOf4W//7Z/n3Xff5d7M4hRMUeK854NHj3j1lVfxFHgvePWsa4OxJd6H3WFNPjMd/3rjrjgqHrNZG8zkZageUdbvgU7QquT68buU8xMm8yOUApWQHlY0kB2BxPAxJoggRgL5YUooQnySwsZrIDq6GISWiIkzgIgGeUokZ7om4JAwusmw3L1TrxijoY1R4iOthdtal6T2aI3M/vnu8T7hps2rqhsx7lry4TbqjadRZTwNgTF8v+85OKTd3vVdsVNvSfvzMK7EateUFJ9CtLMQSXEkQVEg22O5bd/HPt9U/iaYHU/801AxtyFdtsgu+uRRKrPLhWa73dv1cbyve5Q8zwjBcefpXGA+JD32vfH1t8a/Ln4F+Nyea38O+D3A60AJfAn4j4D/80ctYPjonIlGIG1e4Z8+8JKfFREnIm+LyP9LQo7hjIyMjIyMjIyPDYJk+2YXleHP71vFnoh/Y8Zbt919LhtJSdLWCd/yrd8OCF/4m18Iu64ARviZv/VF6rrm85/7VVRRdBDcToTagXcx3ocGA9xdPsGpwS8fwNUvcnzksP4c4y6Z8z4GR2EqyurLTPU8hAc1SUMiIWBqVG/YQrGGqAqxGGOxxiCmAAwp4IgOjdvo9oEGFx2JQUhVUnSQ7bkam7Ndc9qdz9b1JP3tM7K0c48MDf1gOiXlyhBbLh067JPSrbct93Rm1dO6pAzb3qUK2dfWoQTNWF1jbWz1Q7dumk7bQ2IK0h3YkCB4SO4Zmly9toObHtK3rsqhO6bhseGYDxq/7hprvHd2xAx6mrXft6a3Wd+nIcAOQaj2K6PMcGqe6u/DQFW/W1Vlx9/nhuUG1/7Tqvp1qnqkqhNV/VpV/d+r6sMP1alngBcmC4yEO/K55hWWG/IfA2e36XNGRkZGRkZGxvNACl4ZjKwUM05J7gf7dk1vUn50YxPEQjCyk9+W2XbD2f/aln3t1U/y6/6e7+Infvy/p1ov+fQnP8mTy0t++md/ltdefY3Pf/7rqFUhxrAwkUxQ71B12MkUs35CyXvU9QJW7zApKmwpWFNh6vcxpkY9zMxDpmbNpRZMpxPqzTVXjx8DJZN7n8Aag1dP0dmF9+rwMeUoGuxPVd+a+w25s8fwQlATjEe7hxfYZ3yNE1tprUNfW5cI2ykH7b0xvuO/TXIkgzydTymAU6aXVL7rgjHe92dtUB6KobHfPb7LNWaXq8xY+V11xJp2Kgd2PXsa10h67kuOVtUTWcDIdSk1XdLpNiTI0ygqxsrfRBoMx9pqh2LwYemXHV7TJfaSGqMbn4MmgOn4ujWfk/uL3pwSPNjoBqgbF5h9cyUieO93qknCe4uIP3jOMz56vDAECB+TvMIZGRkZGRkZGc8Cfbujb+TtxcCou0kKLxDTzo4RIG0mkFFFw0gfpTFDgurit/yWf4yZFX7yp3+SL739NtPpjK//+m/km77pO6hdJDyshhS0kQBx1+8hmyvMS5/HuicsptdcXP8y88mqTRajNYYQ9BQ803KDXwtiJpTuCcsnDymdZ10Lfn1KOV8EI00NiGIkBF2VJjtF6LMYQYxps8M06zGYH/UgikqkiLQtp4AXMClXTbNTnBQZ4+REa1wN04+mdJ6KSLo+kSRttpdu7I9RlU5DaHXJqu46d+tOdbKzvi0ybYBdO/bP2iVj17X7yICu8b9NEj2dS0aXgOidk7R+jeYj3g2+Mf5jwfbfHX2/DcFxm76PtTG+BjH/0cj1iUprOLsRF5Vh/xs3t849P6w6zVEiRLqf01i0rWzPeNK62NTBhuRI71N9w+vb/u4i2Z5vYhPP0z0PGdt4IQgQ+QrlFdYb8h9HhUhWgWRkZGRkZGR8pGh3/dOP974huXM3u7mqPT4s1/scjzXX9Qzl8JdSq3YvbYxe6bTXVtKQICLBteXXfPu38w2f/SxrDJW3eAlBONdVjTUWsbaTt0SZmRWT8glu8w5ohTGCqc8x01BGNYQFsVZYr5Tp3GLxXC5hMa8x7gOm05qpGDYXBbPSYMSBGHz0pjcmBEoVIxgbXWZEMLbEmKJRfZjOHA3nUlC8COL784PQZIZoM7R0J2q4Frvci1L2EBPXoVWvtOWk89fftd8irBD68TzCsVYVQqcO06k3HR8nO0aJtR3kx03nDjl/yPFdhE36PObOchu3sV3P4GgdHTKg6Uv/SSURXC3BsG1Q7yJcxsrcRHDsGs+ueW3q7XQ3PBW+JSC6wVybT/G+GRuDdq+J7ROJVVG60ZBbkjLyHCk+Sq9DfWJmOBdhfbrPTX/8+5Q2u+6ddt2eLwHyYd1ZMlp85ASIfMzyCmdkZGRkZGRkfFj0dxnDsZt2zBOMSN95Yc9OcvrTZju1jT8RmvO0Lhd9NwvoUB3ReB62IvE/9R6vHpGY1jaSOsamGgyKi4SMQaxQFlDou6wrwRUwnUO1AVsEZ4K04+sdLE6F5TKwIrOyYrV0FKXl4ROHUEK9xG3OuVrB6Usvg41pdyX0xdpAVBhjmEymGFvE/hODoPbnjXRcDIILfSbMl4/kR3RiIsjj6RAPY3E/LIHkcHHtAVxnLdodapECEdepp4jkSF+NsU1+bJMCrQIkHTexnnHXj3C864Jz8670TSTcoee2enMD6XJT/btIjFT3odhV51A10O88IK2yAbUgLpwQh6iN953rXXaTimaozLlJ/TK8dpdr0VYbUaV0fXXBL/ytv476GlRRr3jvQ2BhCW4wqkJRFGFoJrhZeefQyLiJCNaUcayCkkhDg3c1iMTXtm2lS0iAV8v9Vz/D8cnJYHxDSrivftrnXjM2112SpD0fYvA8rWLpULgXK3TnVzU+UgJEPoZ5hTMyMjIyMjIyPiyk+/udG4ypsevp7Kv2frDH3X6Ce0YiSvq70skgbgmP1pjedoXptTtUQdAaK8ngCaeCMWGtDWoOC2b1hIW9RIszxBS4SihnSumV1RKOjw2PrmtKLMUa1usQsPRq7ZlUcHEFJ0eWDx45FgvLo8eezcZgy4qH771DURTM7nwGL2VQbijgPULI+JIIC+8q4vb21vx3xxwdROJ4QnmfCAXAaEsXtWTSLsNSeyQHHaVGmLbBDdHEkki7z6mNdM3YPZJcWppV79Q11q8hgdK2BfCjH3zQlozl3v7Sm/z3P/jf8FM/8T/w3pffptpseOX1T/Cd3/0b+S3/09/JbD7vt9A0ebjKY7+dub1OhygbbjJee8QAYYV/wyuvbJ874DlVPMQ1aN2dAGz83ComhjUc8uwnI/22ZNKu/u8ihTbrNV/8ub/Bk8fvMS0X1PUG7yqWy8vgRiZRHYKhKC2+rpkt7mDEsFpeYMo5R0cnGGvxpqKuN5TFDGMMMplRzo/BOXztePPNn2K9PA/PWRJ+SCAg8TXYCdPFGUfHx02fVVtCoxujY0z9Mzw+Rgbd9Pn5QvBPnQb3efftqw8fGQEiH9O8whkZGRkZGRkZzwTN7vzg8A7J+9alSSUxOCNJYS5Rn9GQH+l4ascM2hshPrp9jBKQrqokmXHqgwpCu6lcRTAmKBqKYoKfLJjwJrP5E1wNazWcn9cUpWCtcnnpuFqCuxQmE2W5ErhWVA2X79S8cmZ575FyfCycX3o2G7h7Khhb8MZ7JWd3X8ceneG9w6RYAEaaYWgMbulc3ZHRSzOLWySIKk2EA0nzZ1DRmHKXxF6QJnjMTupK+/vH0nxD2h3vqzpS2U5fJbksmV7T4XMb52Psvhos6t7jrWHZ7oKD8MP/9Z/nB//0f8Xf/Rv+Xn7DP/Q9WGv5mb/xN/kT//Ef48d+6If51/8f/wGT6XTQdr9e2KVu2NXf7XqGCojh2t3WeG1VD7vP73R/GZYbeSq7MUDCe7+DxNo9hnF1wjZ2KUcOcZ1J51WVi8sLrq4vEFuyuPsJjo7uoHjef/9tyrKgMMLVxSO8V+699BLGWGbzI1xds1ovKW2B8zWTSclkMgUFp8r11RWI4frigvX1BVW9AfW4zRoRg7EWayeYyYKinLC6eA9U2ayXVFVFURS030GGVoE1nvZ2n1Jm19z3JyQSy3vDr2a8SPgoFSAfy7zCGRkZGRkZGRkfFsn1HWjiM0Df+OkGoNz9A75r6HaJi+Am08vUwPaOc68mGSoCtqsd2s4xmkFUgCTT20TipVVOgIHymPPze6APKefC4nRKOTF88KACUQxCaQtqb7leOUxhqSpls/EsZgXvn0NRWJyrWa89n7hXgihffiicvvw6s5Mz8HUkOiRK9gEjnR1rkCbKahrBONQoLrqdBHccwarFiyOFMfAmusqowUjM1tKZ6NH5HJ/9SGAkUsptrUmAJ5AdtvOZgZpESAqS3S4yoZ2+sSyjx69dxXUd3HW+7ru+k1//T/zjzI+Omnvh237Lb+b0tdf4i3/8v+TP/pnv4zf+tmQC0L8l949+x4ldxw+rZytA5z5DVuG4KFgU0T3qhjUbIyqS4iMECHadeRwG/vSj/Ri626Q6D1WG3OR+tDvOxXZdyaWtWp3z+P1f4uL8JWbzU6bTIzZ1xdHxGfPFXep6xfHZCdV6w9XVOddPHrJZXjGbz1nMZ8AEYxVjp4gqZVmgXpkt5pwsZlxcPGRzXTBZnMTvDsP89C7l7IRqdc4qrlpVrfHe473HGItIUHal1M7d4Kljczoc+67XrXmLCiqzg7B6FlCe3gUm0zLb+MgIEFX97qctp6r/9LPuT0ZGRkZGRkbGi4NWfaG6bbyMuwZ0dsD7ZzrvBxkyor5hu7auW0XKMtJvR6KURAeXje9yh1Y0ZVkRxWgwToxG489MqRaf4eGlML0+52hRYQvh+Njy+IlQ1UGxIWKYTuaIFFg2KGsePKlZzODuFKqN8JlXSmqnvPMQrlfw2p3HLK7f5WrlWNlXmJ+eBam9SFBrmGiUGsGYImSkYbdBHObADCZb8cYhMVihE993g4kT2mSN2YGhwqO/DvszyKRybeyIljRpe9FNxbofh6gjrmvPB5sNICw+9xmugOvNutMefP7Xfyf88f+SX/qFX+Qb16veuXZ8B/XoQ/X3adxC2gPADI6K8unrEDd+TnyjQmobG69vl0vKTZ+H1x/a77F6Q7paQYwFPOX0iMXJXTabDVYM1XLJpUBZTlksjpiWcx6/+2V+5Wf+R+4uZsyPFmwePqIyntO7R8jaUkxPwUyZAs5VVKsLyuO7nJ7eRUzBpob5fIGJ3J6I4YO3zwPhIRbvQryi9BwE5UdSnLVZX9J34BipMfxsjAkxTXaQQwJoIjafM9PgcxDUZ4aPPAhqRkZGRkZGRkZGH323k/65XQEMOx86hZ+2B0NDqY1N0B5J8Qt2b+NLCqShYI3Bi4BPBoq28paoTBA7pz7+Grxfs1w/Yv3+l8B7nFeqylAWE7xMqSsoCpgXM6asee3+BLdxeO85O4KLK+XJlbKuhVdPK054yNWVcFmfMn3ppHEREjEYKTHiAxljDTbu8KOduR41GlsjqnVj8c2oe9RHUolIVN3cIMUfure0gVFTvbuUG92uak891F+krqG927Dq74DvKz9uVKf+Xzx4AMDRnbNu7ePqpL0YTlxnpqW9R0O9MrhmOPFjn0P5rSwfSSqlSdU0TkL0etrE8+g+OX03k67707hrTN9Y39fmh41TsS9g6pbbXTPPIZvT9Oge0/kRqoLiOD69w/Wm4vj4jLsv3cdfP2T54G2+5tOf4fj0DrWrcVXF1ZPHnL/3AD0RyvkTTDEFr6g6VIVNfYFZ3KOQDdfriqW3HJ2eUBQxlbUNKg8EvItudtrNmpXme9yD6RDSaJ8aJq3cDR5SzwQux/J4ZsgESEZGRkZGRkbGVwkOkaj3TLqdngO7gph21CFbhs+48dl+ksbo65uWoR5jBKsh+4PHNAoSYw3iN0h1hdgSoUasxyxOcOu7bC4e4lTxaqhVeHS1ZrmusUaYRoHDalNhRTidGZx3HBWG04ViBIpCeHAJK/My85dexdgCIy4oQBDAhYCoO8fVn8xdSpxANpgQnBEwWHx3HiRoYNBd1w/n24+UC7vZ0lESbK9jUn24PcqKXp4ghmPedU2KpTAsn/r+DaeneOcIMSzCPea944//iT+JtZbv/Ud+M6+fHN2oZuqiqz7qkxnp/Mg1nRPjfJMgGBAfLVeJ8Wl6Kxbj2MDPPD6nS0ZqQwiOISqaJAa2VUJbkQhMqXD3ua6MKTAOjVNxk/LjEDKlOZfK0c5jCHkRSUtrAjlZ16zXa8rpjNptKCdTNv6at957l1fv3+fRowdM7IR7r7yGMSHYa13XFLbk8btrzh+8x3RxwWwxiaoN5Z3rFRf+EdOTFffP7nJ0suDyasXVsuTszh2sSYGCBVWPc1Xsebj/9xEeTzuX26RSKndQdR8KWQHy7JAJkIyMjIyMjIyMFxBbLi1jLi5x63HcjaX7A123DMXuDnVKTTvE6O5vOrajwa4xEOJteEKaSChMCIjqXTAKrRGMUVhdUKx/kZM7BaYA78Pf4sTzqPY8OvcsK8ODhyusCIvJhON5wcl0wpPlmvPqihrlulIuN/DamWVmCpwHV88wp/eZTU9D0NXYFyOg3kNhwSueGvVRKh9dVQ7Z2h0ni8B3FAU2VqGp3h0KkP5r//hNrittuWDEt3E/useFYCDanvpiV8yD1P9Afph4zsWdfx3co+G/t95+h6raIMZireH7/tP/L3/7Z36Of/h/9k/gbMFbX34HQSgKi/ce5z1ibeiVaYO1hnZgMpmEWLUieK9RPWRwrqauAxFkjQluS0bwnfXyGogeg2BjcEznHK52SZiDesUYS+08zqWYKaENYwQxBi1sMxPtaF1iWqBjnAbyw/VKtoTT87OUDyE+9pW9sa54XGnjD5kYXLcopsxmc0CYL47ZbCpefeWUL37hx/nFN7/E47fe454xCBYjBVVdRbc3QzmdcfVQWF1f4842UBquVHh7LazLguUHj3h/5fjU/fu8fOclrq8d5xfXnJ3dwRRT1NhAqrh6lFQaBoe9SSWzTxWyPS+JDLxd1p2MjxaZAMnIyMjIyMjIeNExus3dFdXHXdotsiKpPZoSW+eb63sG7dB9INU1QrVoe0ySHLx3WkE9BkXFMCkVEUXxGBN2xn0xY3M95/GDx9hCMdE1QBFmEwtFycMnjpPZhK/5xEu8fPeMyaSgXq/YrCsenc/5xffPuVjXnK8VuZrwqZc/jSlnGClADEIbhFRVcc5jU6xQabO9JF+VUX5nMMe7dvEVDQoATfX4NIGBsDKmSXV8U8DJpm0RhrFYxkmroWIkqnIkrV9ar10GW98tpF33VgeQyLNkEEdpA7WrqVxU1DjHD/7//iQ/+hf/G37t3/8b+Y3f+4/gVfFesdY072vvg1ONMSHEpQRXJCMhnkNR2GYYqR8iBu8NtjRoitEQh5Niu3TjN1hjmucjnRMCySZFGKfXGu81BtJUQixcg9YOtWb7EYwqjzBN2qxvE1WneeZSrJj4XiDyMgM9S5rL3RiNQ3HD/dOe67pEbZOaDUTa75Z0fMw1hKTwAdWaTb1hNltweucO773zLpuqYlWv+LGf/pvYixV/3zd8nrKcULvgqqbxWSwnMyazY87fecQHT67wx5affFCzthNeenUKFGzcNQ/Of4XZ8QPuLM74zJ1XOd44ptO7lJMTXL3EOxf7G9zZ+sqhdpy3VX/sDH6ayNH4cmi9T4vsAvPskAmQjIyMjIyMjIwXDLsDmu4uv3t3cvi+e93ua4fih90bnE1EhK02NATSCGqLaKQ6VSSSH2INXmHz5F3mxSVHxxZrQ9vewcWF48sPPW89rJkUBd/0uVe5f++McjILBAOAGO6q8jkPf/vBE66qmovlmtXGcTyfod5jxGBFUF8Tu9RaofgQ1UGkjVmS1B8MyBz6RNH4rq/GafAYbBOfoqFYOsa66LjKZrveocvHPmMoqDwScRFeQ3aYNN7h/bDt6uRRLXoS/xSQVyTV4eM5h/cO5zxPnjxhvVxSlCU/9Ge+jx/+vj/Ht/+GX89v/V3/TMzOEVQawZVCKGdTrA/uSCjYoqAsCqwZBJhVh/fh/jImrI8xBoNBxTf9NMY0ZEn3fSAmWiPVGIO1Nqpa0rpKzB4Cm00V1yW4VHn1WAnqoJakMPEe0qD4kLbLgk03GahpY2Ykazm2l5ZrqBq5CUNVws0kWjLmx+s6VCXSEl6ETFXGxkCoQuUdy+UlX/rlDziyU+qrc9brJcvVmqPacXl5DuqZz2Z4X3N9ccUHHzxktbykWq5YV4ZHleXJ4zW/8NY5K+95/90ls/mUcjLBTgymtJTzKa99x8usVyuK2TGLk5e5ePQW3rdqs/YZ6I+hO84xd5hdY+5e3yvfTu1zR3aBeXbIBEhGRkZGRkZGxguG9BN+D+vQYNwFw+yUZPfjfOzauYypYm/YddzeFG8NrXbjOR4zBjUCLhEgKQIHzO59Gn/pWF49oLBQ157l2vKlB5b3L8JsfOreMXeOjoLBpR5Xe8SE3X1rLfOJ4e58wtWmpnaeRx884vT0HlgLPuyfipEYZNGg+MZ+bXaMJagYWjHI/p31YSyLEDchjheLGt8ESkxEke2IKbwB0yOZdq1Zt93t26LfD6WN/5FUIpbtbDBbI6IfG8Q1ZVOshdB+iJWRjEiNbiyVc6xrh/Oev/Knv48f/r7v51u+6zv5R3/XP0PtE1miGGMorI3KIKUoyuAiFVMRi0Stjo9zF9vx0Y3L+KASESlQVWwRiImkSAiqhOj6Igaf+hpVKonMCe404T736nEaUqgW1lAUBS66VNSVozaKlEm6EceCC3OqpiuOaWYyGeFQd3Q4O5agk0L1UPeUoRJpeG33WJ/I2m5jGOx31/lWERIzOZkCW85ADL/0zq+wRLlYL1nYkoXMECylMdR+Tb284ktvfYmXXn6NxXzOT/34/8D1as0nP/Uq508uWK3WzKeWjZ1yZzHlYl0j1ysoDfOzY0xRoFbwledHvvATfNe3fQef+8QnmcwX6ENwvor3lCXFEdk1dwGJLLF7yhyKrdV95nCZAHlmyARIRkZGRkZGRsYLiG09xUgZ7WYhgdbgHVN7PBsJdVOPpj72aQKNUvtuHyG4FKRknyYSF7VX8ApFiZz+KlbLV/HrKzxQT4Unqy/hVVmUBa/eOcNaS2GLpl7vo4x+OmFSTTmZrCnFsFbl4uKC9WrN7GiBopiYsUIMWImGOzA1IKYMyoJk9Leb86Nmza7YKL2LkzOEtIZnspM66vmb53nr+CHXDCzyxkAbGlHhuEaDdvtcMoh9dClIn9vxeu/xzuN9HciP7/+v+ZHv/wG+5bu+k+/9X/0uMIZqUyOTAmstZVlibYj/4bVV8SR1jfc+kEMd/ywRwcb7XInnUNQHN6nC2nB/+UR2RFKQQDupxrgy6hEEW9ioFmgzeBhjcT4sjjGCYkPzVqJrjGsUTc1iqm8XpBsHBN+0y9a8jmNM1TE8vqv82LnxWC5dNU8s0zk+5uqyWxUhIIa6rrG2xIjh6voJ6+WGl+8uOD9/jK9XrDcrxNe8/fZ71NcrJrMrdLXGr9acHM/YrCseP7lG3YZpMWVeCi9NSr7l7l1mlePhrOTJoqTywmRS4pzn/ccP+Mt/40c5Pf4HESweH1xgImm2jxwKxF032G1DNwN9lcc+dU1yt+kc2LkeGS8WMgGSkZGRkZGRkfGCoktw9H3SAbRDdnTpknELeWznePeuZVu2b3BL762kN7pbK6FoE+MBBFxQYiT1ADi0BrUlxdEd5Pgeqsq7b/0Km9qjIiymBd7VvP3gA0xRcLpYMCsLXF1ztVxxtd5wdbVita5D/BBVqtqxvL5gvpiR4jEkHYYxIF6xJga3jDxMa+Kzd1N3L5kUXRtUtBfnYziF0k5zmMuddfbXdagAuTm9aXKBGTeIWyNu+/5p1QOJJKG599L5RuHilR/9i3+JH/n+H+Ds3j0+/3f9XfyPP/4TTTljDfdfeZlv+PZva/rtnAv9i3E7anVsqhprhaIoYyyYtp0ufeNV8epRn9xbaJQfoWRLbqgqzivJEUici+4uLUklxlAWBYnYMMayqSoUaYKpakoXpNqbm85qxE/BrSooRGCfkqi/VjcrQXa5dQzPb6s4Ou+7ZYXGsUcGa7+r3VZFFua5LKe8fv/TvGI/wxtffhO1UKNMjk9Ye8E44TOf+zxWlCnK+2/8Cq984lXufuITXC03FPMjZrpidfmEtXN840vH+PMaV9WU1sRn1rBZb0CEoig4v7ri7QcP+MTUYs00rH0ixgYEZX9OEnGR7o+ue1h3dkZcXnpzEO6TpCw6kOd6KoQePx2BnWmZbWQCJCMjIyMjIyPjBUX4EW/i++TTngzRvu4iqT/GfvjvQqt87++AEvfOW2N7TD3QqWfXb/O42yoxbkOTb1ZCRAxr4y6+elCHeMEbxdUbnpyfB9NclZk1uNoh3nPx+JIn/iGfef0VVus1v/TOQwSYT2yoPgbK9ApXlxe8dO+ljrrBx/ceUwhFaYOh2iErGiN6yBMcCDEp4CkEOb427asE08t26hxLT7oN2ymfOnXIdd3ruwPaZnfGVAP9en3HiN62phXhzV/4ZQCePHzIf/X//mNbvfjab/oGvunXfBvOx4wr0atEIkFirUW9xuwuFYUt2tghItENJtzj1iQ3L4+aMB/WJkJLG2LFxufGxntY6JKIUXVCIuPSdFl87QJp4n2YvhvVEW5kjv1TkR/dY2PxYXapRfYhXNeqHVoSpB23RleiIQk22q9Enig8efKQYnrEJ+6/zr3jM/76z/8kXqBarbi+vmbm4ZVPvEIpBQ/ffIPrJ0ukEObzOa9+8nU2y2su3n2bt56cI7Xn3mLOGx8smc0mLIuQStlLyMjjvQ9ElPecP37MyekxxWSBV4fzHfe10e++5MJkAdeMXTW5e2l0n9mlvurMfe/r9/nTDNkF5tkhEyAZGRkZGRkZGS84EhGx2xga7tpvG7C7yJD9rhZRXdKtJ53rNLuVMyW5LzSy+hgvQg3GmuAgYAR8dFKwBlTxOMRbNqsV6+UqGlpwupix2lSoCmVZsF6tkaLAVzXrqg4KEYWL1bolCBTqzQbvXHBpML7pR7e3QnBxUBMMxC2DtbFpwzxoer9v/hoxhd86FWcjzFmcApNO9KZwLCtPer+967/bCO4SHi2pNRbDZD92qBOkvRV+5//2n+Mf/Kf+SeaLBdaGmCrVpqKuK4rCcHS0YL1eU3uP92CtiZl4FFenuB0x8wvaxGMJ5IcP6WsBY0Ow0pD6NsSMqVUbxUgiOKwq2BAEN7hAxXEKSMxHHLwhom5D09g8VV234+7dzjfN9cgcdT6PZ+7Zrzo4lNQcI0X7xzoETZLN9I6nQ7vUJ3HOFMBAVHJNJjMWx2ecnp6hwK/75l/Lu++/y0/+zN9gPp0yE+Hq6oq5mXB9seHifIWxjvXymvWlYfn4MY/ffZf1Zo0tDN4p9+6e8MBXbBYzVJX1eoUtoquaV9aPn/CLP/dzvP6dvw5bzvCba5wPcT1UDcZsB0Htj6U/Z23Z/vfpcH6b8lHjo0NJ1nOB4HeyzDdfm9FHJkAyMjIyMjIyMl5AHGqc7or5AePGWgpEOSyz7R4hDQkiWwbRdprYxInETkVVBz1CQQANwUBIDifGmmhK2Kbe9fKKqg7uEdYIp8cLTk6Oeeud93Fe+PRnP8N8MaWuHfeOZngVKq+8dnbEB1dLrqugLqiqDXW1ZjqfBrl+3OlNGV+UaPQS40dERULXNaV9vz3Hu9LQtue2DUzpVqqgEumQEXJrvI39BvD4veJb47/Tn2GsiUOUBFuGffNvIpZSHI+W5NlsKqpKUIS6djE9bdufSTnBmkCOhX4YptMp8/mcQFJo4/LinAZiA2IwVNkiDZJiRIAUq7SV+ATjP6y/RtIjjsV76rrGR0PXuaSY6BrHt5ufhENj8OwKaDr2HO+OE7KHUEn/iDZEUDL5d/S8V1cjlBHTqNKMiWmH4z12ujjm5DNHfPKlV6mqDepq6rffQCZwcnbKa5/+BK5eYUW4fPSIiw8ecn51QVEUTKeWJ6uK953hDVdzNC1Q5/HeIbVgyxJjwG0q6s0lD95/j0++/jquCkFQW2XL7VUZiUxuXWW262qVNJ3vTr9NdD5ruD0KvIzbIRMgGRkZGRkZGRkvOLq7x12yYn+Avj4OyQozqCUeD0RFOr3tGZKCKfY6QDKp2r6bRj1R2LAbbyWkIa21rcsD1XqF947o2YB3ytFixq/+us8xLadU1Rq3WmMVTiYFZ3dOMWXB+nrNxfW6iWhQO8dms2Iym2IkuESod0CI8RC6EyTxCjjXD+B6E0ZJA+2mX+2yKV30r/FC6N8t7ah+XJgbVCk7+n0o8dGtO+2EB4WOII1xJk0sBu/DmLzznF9cMZlMWG8qqqpmubxmuVzi6gpblCwWc47mgeQqJyUAde1wzjGbzUCDM4m1JSa5GEETMBXASoGx/XE4H2LIeK9h7aP6Rz14r1R1zXq14vrqiovHD3l8/oS6rpnPppzducv86AikQI8XW/O3T7Wxa773qUC65cbq3BX7Y5wcad4NWxiUiddq1DPo2HeHoUnZS7qfE1kZjlf1hqra4H1NUUxCFp2LS+z5Q8r5MbP7L/Ho8QMu3v0yX/7bb3Fxccn8eM7l5RLjay4urlCE2bQEhQ8eXfLTlzXlS3NmVc1RMeHoeMbEWJxzvH+54fjoiNOjM1555TUWR6esV5cxVbLufC7aedwmmVr4jothuq9d8z7cQ8GVRnfWkfEiIxMgGRkZGRkZGRkvGFqSwzC2y3uTwZXKjNWZsO/6vuQ+uUx0RBCqwbrdW1dKPaoxqwbY6PKR6gs78R5JGTcQ1Cub9SaYVhJ26FfX11TXK2anx2BgebmEuqZ2Duc8vvJY49ksN1R1SlMajFxXVSSRjEa5h0rsRIp1ktwFOsPrhckYjq8hg/YRB7vYjL7EPm7EB9JAJEapiHNqBBXFdAI1hnVo69ilFOqSZE+Lg+45Vdr/YnpjY5oRrjcV680mpMrdVJyfP+Hy8oq6qkDaHXvBUJYlR0dHzOdzjo+PuH//Ps4r0+m0CW4rSFRoxIwvXhEjOK2bORJjWpVTIud86F9VO64ur3n8+BEPH7zH9fWa9WqN857CWlDl4sklb7/9Lscnp9y9c4fZ135N73bYN0+Hzuuu5/rD1tEpwbarVNNQcz6IGXYTMi3aFMCdBwDUIbVDqw3iY780up9VnrqsKJxnducu12+/ialr3OWKd975gKuLI45OpqzW15RFIGA21xvuPLlibgznG8PX6gn3fCRZNjXLxxe8Oi15rTzi1U98hpNiwsnpXa4uH6HObz2q42NJ09C9p4VA9gzHDOG+ioFTm7m9uf5nBuXpXWAyP7OFTIBkZGRkZGRkZLxg6LsraO/zhzVs07U3ESSprY4d2Wt/33UtwwF0giwaCbRIyi6jGtwVjJfoimJwLhikxhjU16iHZe1xdUW9DuoOay1ffvMdrlcrFsczyvkUt65ZVjWrZARFwqNebwLJkPoPkGIZpAMSaRANwTBjmIid2DYtB8MH9qeF6BAYiQCRlnNpVr7pRzdV52HKjadReIy7Q42X648lfo4TLSYQOV4dVV3z6NGjQGxVG5bLZXQZEIwVRAzWWFSD6uPx48c8fvyEoih45533+OQnX+O1117l+PgYXIjxYK1pFEXSjLXvxOGca9yQaqdUm4rl8pLzx4+5vLxivVpSFAXzxYL5YoEoVFVFXVUUpaGqC64ur1Hv+cTnP9dUfdPaj83TbiVCfxabEewoOyQ8dhMfY8c6pvsNqrE2rlBX79UJoBoZQokKLnf5BLdc4+/eo7h7H0Qo791FjxZUmzUeKE7uYM/ucO9za2avnHJ18YTLxw+5Pr9EcRTWcHGxYrWp+GVreOIEv674yTffZl6WLBZHIY7LdMKstNz9+m9kNp3ji5LNaoNdV3jnbhxb18WlP4/d5ysttg6OafO2q4L6SsBnF5hnhkyAZGRkZGRkZGS8YAhuJwF9MoQtA/UQ94cxN5dEQgx9/LfLdpUoyRAjxlBoy6aYCk2nm0pDcEqXjA3a/msy+tUDBYqwWV2x2WzCMQ07r8tqEwgC51HnKKeWl1+7y/XFFXZSghHWbsNaPavkxx/7tlkvwVeICfEkRAVUGveNpOOQJg7JPgM3GEDStYsYIxm2Ddj++RHVhsZ9ZlGcSMgUo7QxQhoZvh2sz0gvd7hajKkGdrlm3Cb4ZiKTkkqosBYjQlV5lssl69WGuq6p6xp1vrmmrj0GD9YjYiiKEqRo2ru6uuKLX/xFHj9+wic+8Rr3X7oX3CvUBwcMIx1HjEDWCcH1xceAmFXtuLq65tHDR1xfXiA4Clsymy0AYbNZh/gizrFZXeN9jRJSrxaFjWRNh/14xuiSTq1AoyUQD1VtbdcL3Q6LKNol5RRaMmBX3bZbOJYPdQURlcWYgsVLL1PIhOLoGOd9E39FEMpyimCQwnL86c+D23D8Miwfz/mg8Dx++ITryzUfPL5mvVHOTueoeNR7pmaGWsNGwrfDbGop7ZSjkxOm9+5RzhdMjo+ZTksms2lcO+3NaatcSa48huDSMqZuau/NxI4mArJxn9qap33aoGcDBdxTKkCyAGQbmQDJyMjIyMjIyHjBoBqNiA4Rsi+GwCFKgO7nFNeDTmyPYdmWCDEDxYhs9a0hRpI5KhKVDR0VAgT3CJ/GCOBxmGjgC0YVt1rhvcerINH143K9ofaewjkuH1ywurhis9yw2TjUgJlPEYGVc6y9NmMSIbjIuJpCTDACUZDWCEpaEKeCJQV5NGEMac67Y+/akN31EGJsgKhyGVmDYNim+Rpfs6YIIJpmZqtU79MuxcZt1B8fNhhqt57JtMQaoa5rnKtR9axWIa5LGl/L+xic8xhRKvUYazC2pCgts8mc5XLFe+894OLigkcvvcTnPv9ZJpNJSHnr+6RdikUZgqV6qs2aL735ZS4fn2ME6mpDImtsUeCco6orvI8Ja52LiqVwz1tjm5gkqbftv4fPz03ExZZJrTqqZLipvValFV673xnau2/7Le93dUrZk9J3hiekjVXEhGsrPOXxCRQTBAPqozIH6nqDegPeIQXYs2Pe/uLPcfX++5w/esKT8yuW6zXTSclrr50yKy0Pl0tmUjCZTll7h0O5d3bCa3fvcXZyyvHxWXi21VOWJVKWFKd3YhaYVp0RxkLsv+uMSbfWp/2c1nibzE1lArk2JJOeL54+C0zGEJkAycjIyMjIyMh4AbFv935X+UPdIpLbwFABMmw3ER0toRB2ULv1BNcNacMKxPfN73WNNENUjRghxLZIRIMPhpWiqK+pqyUgMaAhgOd8De89vuQTdwVrhWI2oXJBWSJRFLGuap6sNo3SJDaN8y7EAUFQMYFU0dC+SIgfoYBzgrExGkgnvsmIMH5cZdMp3HfLSD3pnBuJ30EzZ13CY2wtW5eioVrnwxAh48E0x5Uh3ffa7JYHmOjSIigqBOWHSwazIWqAEAlxOoSgqJGYScSIBfWoF1xdUxYFm01FXdW8+eUvA8rXfO3XNAqQ1A8fsw4l36qqqvnlX36Dt99+m/lsjvgQn6QsC1RDnBnnPc4rrsnqIQQvCoc1BhUJbhck4gwSebWlkOlPXPu5Q6D1NEJ7CJJm3gfnxtZhm+ToqjWSq0e6VpsHcxcpM+bepLrV+6YNEFztgrtZtcRVa9arc6rNivX6is36Cu886muMLTDA7NW7zKYlR6fHlG+/Q7VZc3LnmPnRArdacX8553xtuZ7OWF1fUhSWl+/e5fhoQe0dTy4vmE83VH7NS/ISCBRFSbVZj4xlW7FxMDnVUceMKWUaVcjuGjJeQGQCJCMjIyMjIyPjBUNILwmgW0buLhwij2+Mto4hd9jP991kid50fTSSRdtxND730bsg2WZ1XbFerqicj7ZsMGad97zx/mPuzCdMpxPK6QQ7KfHes7xecr2ueLSseLKuOj0OOoyNcyyvr5ie3sMUNhiAYoMxHufCqMT4JAJmQlK5DOenJTba8fdnqQBxnc82DjAY2EZpFCRbcVgE1EgnJogEoohIEMRJCq4Hu9QjHy7oaTPID3GNV8+mqjBpnZWgCDApV0wobGwgQELgylDOu6B8KouSunasKsekKHj13hlnxwu+/P4HvP/+A17/5KewRwU2OSh4HzK9xPtFvefi/Jz33nuPe2d3MNZweXmFqOK8a0k7a0E84jSqjqLiyQTb1+Nj9pg4OA3ljLQZQboYVXLE69L5nsJCt58eiYxQekaSA9RYe+01Y0qPVtGgzb/xc9P8fnIFalLGl7E2xQgepXY1tdvw6P1fAV9T19c4twlZerzD4FFjePTkIX51xfHJGeCZnZ1wp4T6/ILp2Qn1eo3Mpnzy6z9N9c4T3qsVWxxRW2FVL1lU0XS1NdZ6RNZsVh9gZY41wkbdCJmU5sLGse9PtZRIp7G57pMg4U90d/lnCa85BsizQiZAMjIyMjIyMjJeMDxNoNNdWTq6ypDh+U6ogZt61NnIHhhK0tcs0FEEKIr30SgRE8kGZePCj3kfnUaSkbJZL1mvN3g/pB2UVVWzXle4umI6mTCblai3XF2veHy14nrjSKKRhqhQxbmw24+roCxBDNYo1pq0gQ1IEz/CmiIqFfajT174OAO2PdTMSVC4mI5bwNbsioAJREx3hoeKkH3xXcbO34oMEcHH+RACWXNTHSGOy3YKZFfXUBistShKHQOSmq6yRkxUcRhqX4OCtRZB2Kw31C4ExpzP5vyqz77G2XzK6WLKT//iW6w3axZHIYaHdz7E8FBF4s3snOPJ48cUInzmtZeogTeqitVqRV2FMsYIzmtUjySnJW1UJRLv62AQDymA5GIBgaToY58x3FMQpLnovNfm8UnuG9JSlQcocga9pCE6u5KssbJbfdbOa0vA9EiTVK96rJ2AOmq9JsXvsQJVtWI6X2BMieEJVV0xmcy49o8oT4+ZLO5AISyrNW69YjItMSW8dn/G9HrNu0vP43XF5cVDjgphUc6wqqzWl8xsgaynVL5EZY7zk5GxdNeKZv5GVR0dQqoh0wbjHhJNuxJdP2u4p2ImM8aQCZCMjIyMjIyMjBcMewNcNmVoJf/pWHQxGBYeU5G0mQ+2jar2c9dghVYZMexE1wQYkiEhYGWTalZDatvAk2jjDuNV2Vyes6lca1TEndbQE8XasOv84OE5VV2zcZ7LdQ1GmBQGqXwwF6PV6r3inWe1XFEtr5nNj0KK1BhhNGUSSW0E6/8pVBSN0doxtKSVyBtNsUO0JTX64o/+siXj+xlZVvsUI22jylanBu03xt/OdsKF3jvEw+XlJRcXl23shBgAVYzB+7jO0eIPsUGUuq5DRiCvFBPD/bsn3DmeMp8teAXh5MvvR9eVQKp474Ohmsi5qNJwXrlzfMTp0QQvgnzyNd598Jjzy0uul8uwLjGbTG/ufST1jMFISLnbkggjqoC0+CNE1E2qgG6w0y4ZKW0BEvm45XrRI576FzbKm3ZRWgVI5zvhMKJG6WchahsSgovcbDaLf3e4uijZuA+o1g9JqZFVPfXmkjunR5i7Z1y8/2U2XLH84DHiFVsWHJ8sWG9qipM5m80aa2vuzeGohKtlRTETpuUVtlC8NRTiuL8owF3h1OC0wnHaIyrSd1gb82ic/NlCdzE665Pc8vpz95WgP3IMkGeJTIBkZGRkZGRkZLxgGMYXGL7XRCc0wTk6Bngjmz9cATDeVor/0XXDaU51L26NgV5z0eiNBmkgZ8KuO9GFoIkvIkK9WrFerljXvgky2DXx5mVBYQ3T6QTnHQ8fV1TOMZ9YbFlytdlQiuA613gNQVY3tWN1fcn0zr02FoK0mWJ8d1fb2GAwNWqIQ+ZwWzESqvQIpu/+g4bkNh1VQTTTQl+EJv2t0RDnpIt9cT+eJuhpbxTR1u/zIiOxQUTxAuK1NazTmIUmnsdqtebi4rLts5GGBAnuEdE1SAxOPbWrg+cPwlE54d7JMfdOF7iqYiMrVJW7d04xxuBccDVS37ZvIiHi6prpdAp+E9pVYV5a7p8dsVlvuL5esqkrSi0R0+7ut6orTcIgXJ1cmkbIDx18GFmrm0iGbWM63niqJAZsTGmy/X5QV9cFqWHYDjei2zVP85PUTUJyixEjiDXUdQ3iKSZTTu6+TjWZUa0umMznuKqmrq7ZXF3gNiu8c1TLS6zWTCxUrqa6XFJqxey4pJjYSFUYUMdpMeG+WjZVzcY5yqKiVmWKZ25OQlYhb1hu1sikHlVrHKp0a4oExmlvSekv0VeIBsl4FsgESEZGRkZGRkbGC4Z9bg27jrUnB0b74Jd534DeuZdP11jaMoJ1q8hoW6qKjUZScIERVC1WBOdbCb0oVJslVbUJMRoIxnhyS5haw8unc8rSIlY4PlqgTplvNojAde0pDdxdFFxsQuwI38oKcM6zulpycn2JXRzHWA80Ro4xIftLSxqldLk7ZudGRYUgPYOxO7NJ2TEgFTqGq8Tx98KhPgXJsQ9j7hQ3oXUdCJ/9iERFhBjMVNhsNqyWy/ZEdHlpspwoDTGm+Ei+GI5mE146Peblu2cYa4P83xYYHKdnJ2AM3il0MnsErUGrmJgv5lSb0HYxLam8MpuUvHrvhGlpeXxxxXKzpq5dJJlStA3B2FAjahqCp0v19HiF9G7HNO56yrafqX4pJRrXnQpkcL7bBnSJlLHO7LjfRvrVXNEQKkKTNSkZ/gIpE5QxgtYeo56riwdcPHwDMykRU1BvrqhW1xTGUhQFG+eYTecYUawxHJ2GVLqTskSMQaxg7P0o4vKoX1HXFV5rqk0IUuvVMZ/PuXv3Ht5B5TyXqwpfV2EpRr/jdNuFZx9B1VPntOl/wxx1nseYWUrMjnqeEXIMkGeHTIBkZGRkZGRkZLyA2GmYym7jVWREr9Bu5N5o7HYN+Oai5niSk9MxivbIyTX+o4oRg08BPWMbBnCaJPKE7BGbCgMUkTSZlZbT+ZSXz+a8dHpEWYbUpWoMi+MZxcaCCNXlFXMtOBbh/vGMWpXr2rGpHZvKIwLrTcXVxWNOJxaKSdBsRAuzUboQVAQ7p77jHtPfbdfWGE5rk3Q4Y3V1xALb6p5w9agJe1syLDW3gzS5DfnR7Kr3LPqROgHBYIzl9PSEcjJhuVzivaewFmMtaFCAHBUFr965g51Y3n7wiGVVMZ0UvHR6zGv3zrCFYb3aUDvlalVxtVwxXRyjxoSsL77fvie4WwW+pKA4OubxxQquK0QN6h2lhZeOp8wmBV9+8IjreoVXZTGfcrJYcHV9TVXXuFqJCWnacaXnq1FUpEHH5yEGC0m3/r7Z3Vr3oYtL86FjwqsP9+rorG+TLU29I8TkbRCe+fQdoHQzEQEUtsC5DQ/e+SKb5WNcdY0tSpbXV1w+eo9ZUVIUJc455uUExCJ4xFqKSUFRlkymC4wtkLIMNJQpmExK3OpJmA9boqLUmw1PHr5DtVri6jXGFGyqNev1GsOiN/Ywfum5rnS/t0afZVVUBEmvdL9vWxfDPmGZ4rU8P/i9d1PGbZAJkIyMjIyMjIyMFwx7DdMOkdGU6v2AT8fS3nSfzOjXv23sd42E1v0l+dHHH/5N3YO+JsMwHlIF9R5F8F4wNvw550FMyNyBw6AcWw93jvBOKacTjhdTpmXBZGIojMUQ3BtC4E0oyyK4TNiC+aRkMZswP5pRlDHAqhNc7blersL8iEFdhbu6hKMTvC0wxuPVtAaeKCZmABEjjb0nMr4mydgGTzdghygYPE46QVGld2G7nCPuTkNbaqj+GIvp0qmx38AzRDB9o3vVtl0NtO5E3nuOj46ZTmdcXl7G67VxfbHAJ8+OOCphuVrxybsnvPnwnKktmAh4V+FqEGsw1iJlyaPHV9yfHjMxFmM68zAYrxewWlAXJY8fXnLv7AhVR13XuNphVZlPDEfzOdfLNdPS8smX71Fay9liynsPHlGZmBXGdB6o+NKlAhKa5dfO/T+yDqMuRTqyZp1nuglk3KT9bXvUX4NWtXATdsUp6R7XRqkUnn9NzE4kQAIhZPAupA2uXIX3G0QrCoT19WMmxjO1itUaEYsxFrEldlJQzI6YzGaUkwmmnIe2TEFhBXV1TKFbY8RQzE5RDM49ZD6bMZ8VOLemdhVXG1iuNsyLijEYE4iQ5Eq0b056K6EDV0PozMHWxbsn+0NCAfeUMUCya842MgGSkZGRkZGRkfGCoo3x0RpfzbnOvz2jSrbO9utqMJ6/INTVBj3sG2xKQ6sMjPhuz/qbzkGBod7jvG2DSqoyFcdUPPgac2fB/bMFrnaIlegxE+J0+NqFvX0TDGJrBF8rUzMFY5jMzoKRI2BsvM57XG2ZzosmTkQw4mrc+gkUM3Q6I7lMCIIRHxUKrYvGLqR0ta3hy5ZtFUzHNJ+ACF60yfYyvi5tRTdlddkypg+wkZ7GhaYxxAmuOZ6hEqTXyxAbwgRFhrVFU4dzHhNdBubGMNNgnBoDEyscT0qsNUxKC16ZHx3h6orl+SX2zhl3To+ZHC0oSou1BdaY0FZn4F496jy11OAnvHR2TFVVuHqDr4PrhFWH8zUn85Kr+ZQ7x0esl2sq5zBlwXQy5eriAmwI6Npzo9geblRpJIet7rz0lVK73JiGCpAxZUJyw+g2Ozr7A2Jjl5vHriwwbduGNrbN8PmP5SSs3+XlA0wxYTadUYmFYs5qdclmueTs7ITp7IhyOg/EJ0JRzjBFILWMFNT1hur8EQBFOWW5fJ+6WjJ/6bOIDcqQuo5rYU+YLJT15TusN2ucTKh0wmq9huJ6hNBJLituLzfUkEyd+dJuBb0568+Hjt0XzxTyIVxgsnJkiEyAZGRkZGRkZGS8gOgbqR2fibZAPzbASBDGcG6nqRRqHjHGuj+a2wwK3c/93e0tQ33wyUgM/hmkFYjC1CqFeorS4J1tdrfZKMZGFwcNsn+sYKxFvQv1BZaDYgJ17fA+ZAGx1mKLYCg6hencYiQoTlQ9puk7gMOZioopqG+VLtGo3rWj2xqYnSWIBEqQwqdMMAbpzFKzu6w3pLVtmIU+CTKq+kiKmyhL2KJSnjJeyL7r4ihH1AdJKRP7pEGhYW2IB+KaHMWCFWFiLWLg+uoaRVmczLkzt5iiQHDUlcMaz+lLd/jgF96kfviQk7OTQJiIUBQGawuMMaGvkYRQVdR6dA1qatQYPnh8ztV6w+uvv8Lx8Zzq6hK/Vk5mBeb+HawtEV/jlivUeworrNYV0+m04/oB3RnWrTfRTt4x3fvIq7EUtNp9HyvupnMdU5e07hltG1slRoiY7fWO1F2zZIn4aAkQCHe4MYblk3dYLE6Z3/s8TgXvHJtqzWRq0fqaYnKX+dEZXh11vWJ1+RjvalQEYyf4eo34Co/i7AS/uQJVrh+9h5QLpscLlo/fwW8uQ7+qFdXykqtKeXS15OSlV9G6pl4ug2pjRNXifd9tp3tuGBukOwvb1EaXBDpYcJPxAiETIBkZGRkZGRkZX0UY/mCXJFGHjt2sO4mP1oUiSdvb49vl+oRIIj/adkNbYzZA48gRd4qVYCwYCUqLSWHAG8RYjDUhI4gYyqkFa7AKvq6wKHUVDTRrsDYYvFI7nHN49YgRynISSZTgxiJiYppTwZqQKrXpfyRbisJAVVO5ArExaocYZCSrSzOWdoBNJIQURBMMNGoPg8H1L29mcgeh0ZTpp+IdJSMkzX1cQx30b9d1HRxKkGypCrSjfBkYzkn1ol4xGAprsTHwqZFAhlgjnM6nqBEWsxlVVaNeOV5McbWCg1VVMV/XnJwKn/rU6zx69BiqDX6zYeMF5xy2KGLA1UCYqYL34b5wdY14R4Hj/v0z7puS2bSg2qxYr9bBHQaYFkVwy9oolfcxwKrH2hAAtSwn7XxtUz69eWlnYGumYeR43+huSY72YQ6XpUPSIRKFloCTkevGDPNhdpTtPiRiz3TIj1Smfy9DqwJBoTAF1s44Pn2ZerPCX7/NprrGYViefwm3fgRYvPdU6yWrdYgLM1+cggjq1hR2gheLlEd476jdmnqz4Xq9ptAV6iuMCLXCRgu8AVMSFGJVhTPVgOjQzjjGyaZtpUxUf6Gj87Wr7tvGVbktchrcZ4dMgGRkZGRkZGRkvMhIls7w8KjhetiP5KHx3Zd2943/MWFJG6dC+7ad9l+V4AaBKhNj2PhgrE/KYHSqNxBTpnavCW3ETyJMSlCvSCQ0ouQC7x1FWVJOSxrjUQlxI7wHkeCu4RUjIEWBsaY1eqxl4mucakit6n3j+dKhH/qTMQJP2Jk33qFiUihOTFRLpDkeW7NdAW2Hcvyta7VjgO7A06bI3VXXAaUAHwghgaIQZotZUG1oyPTivbAoCmaFQQuLLSyLkymVg1IKjFY47/EeXF2zurzk+PQOR4tXuXj0CFetgpsFId5ICkyayAnvY5wR5zFa4+oN8/mM2WzGeh2IDytgChtIOWPxxgTlyXzKcrnCCMynU7z6Rr3UGyLd52JXTI+IboDUnXOW/vWj6yn010+6xIvQexa1rWy8tcH9tK0As3FsiWj1iLTGfi8YLmDE4vA8eO8XuF5dsTi6A3icMzg/Y1Wt2VTnuAcPMeWMYnpEUU7YOMvDB48xdhkzAcF8sWA+1xirpWa6mLOqPcvlA6bTEiuRxBQLhOxAk8Jwdf4YExVgfdIiZa2xQL17UsIE0wa20c5yafO5IUiauaJz/PkiB0F9dsgESEZGRkZGRkbGC40RwzedGdt5FHoBKnf9bFaCcsF3DIaWGDm0VwPjsKk5baKGXVQf5fRWDIUJygwvBikENVFqbwS8D8aQgqpv0qwaa8GGjjl1ofJyyqScpn1zauciV2QQA+p8nwAAKEpUaHaJDYIpSgosKYmqS9cNxtN+jOcaEqg7yaZRQHS1ALuIj32ExG3Jil3lh+3sM4D3vR9eP2i9PR/LGBPcX6aToKCwkWASlIk1QQVUCl4sqwqksJRGMBOhVI8aZWYKjBjEeS6fnLO+vIKFQ+0UJ4JJ89z4hWggQNQjeAqtWV6vqK6XFPfvYhQKK5jSolHt4RBqFbyAOsUay0Qdx7Mp15uKyXSyx42sT180SoztRehMlfRuqeDdktQf7XPVfYKHZFivbR+f12iNy8gzuS8GyK5AuprS37DtHpIUaEkl5r1jdX3B9dU5ogrOU61X2MkCv1kj4kMWoEmF+seg8byx4D3GgPOeTX3N5dUaVU9drbHLOdPJnPVyxfLqGryn3lSIMSFzzGROVdfUqytsUQaxmfbHEeC3+p/QEj3dBUnngjBt19xpl23KCpCvGmQCJCMjIyMjIyPjBUfXHGqP0JAhze9waU83P5fH7DEY/NCX4dl+O8Pru0Z1638x6EQoZyeneD/FuxpUqRXqDWgbzKB9EdNp3oBOwplK0IbVKZt2pGlVgbKxLbc4odTHTSyd4lEgjduMAGIMV9dLNus109lsfPLYXo9kIAcXG9cOSA43ig5VaDTltorevG6hj4cTH3v70XYo1ku8HwMhYYxBEaaTCdZa7t27x7vvvENphOPCYG0oY4uCqqqw3oOUFGWBNYKWQaUhYnC+5smTC66u10xMyfyoHWNoS9qdeAF8MKgvLtZsVivE15xWxxhbhMgsIoixqAiFhKgm3lmK6RRbWFbrNVMRKC1FabcH38xBYzXTJwMHipHuDZOM5/hPE9djzKjuLPMYCZFcYtoKdyuMxjCmAGuUV4zHzEjXhVS1BlXLu289YLNaBSLBK0QVjpgCrxrSEzcPpoAP6a8RwWsIpNoldiOjg/IwEDq+nVmvIXizRJe28CeUiwVf86s/18YSShM4Mpauu8uQL2m/P7Qp05xkWwmTWsn46kEmQDIyMjIyMjIyXlREC1+Hx5oX7RsOjSFGEw5AJVXTjxPgve8ZZv1ML91Uq4Mu7YpZQb+fwTAtmE2PKIppkLW7RA5oIDsGg2rjDQwqI5kw3YNdlcV26lggePNoq4iR2JQmt4Sm9+GdsQXzxVGIgbAjaGKre6ddCzV0o6OAItLGTNi/285ouUOICEVj0FQYs8I+jMvLTkibP8g0916rgEiEEoSYH2lizp88AWBqLVNrsBIjrfiaaWkREwLhGmsorIFCYwraEBvmlU+/zsPrDcwWWBvLC9F9Ki6yMZg0bw7k9Iz5bMJxKRRFGbKIxCC3mu7aSIK4CYTUzJYCZeo9pbW9jD1p2cPMeyRl5pB2Dra9XdIzOnxK47PZJS21c4dLf27bPrSpkPcFUt1FmMC++0JRrZvyGl3DxmAkBCZenNzl7P5nWa+ugmqkQxCoBrJJUVI24S5Zq6rx+ymsYesulkLtdtmjLmGb+hTIIxHL3Zc/wSc/96uCYqghlpK7mxtVysXGQjuJhBq4uYzNUX++wrvddNGzwdNngckYIhMgGRkZGRkZGRkvKNoIEtv27U0CA6U1rjp7zrEyaQyUbeVGuxN9aMyKRKykeAxiBOMN06mFSRl3gXVgJUja6O01r81OdqrfdwbUnYnuq6YO9/rqJQWDbRtRlOX1is3GYa3l6PiYySQEULW2YDIpsUYbA3A4q6o1qO007wfNj6/YTWTElnEau73T/aK7wAfitnFAxtxnkppGCQb8wBxEvcerYrxSTC0COO/YbDYIMCltc5/YwmJtiarHlBOiNYsXjzHRvQLl8vqaq/Mr5OwOZVFgi6IhAExgQdAYBLXtp8F7h9eC66sr6oljNo0BTTtuKCKgYgKZUgh4h9WCwmm48zrTldY3OUg1qW+3nontB3P7SOfG32Gc73q8b3ZJ2l2++/mQe3I7Rkh7n5ZFyb37rzCZzVmvV7i6JrnheNX+k9C7UVpmUtsSkYwYfA916hCx4TJjAwkWiaAUBHk+OwruckYOu8+Hao7ReZWOO9B2Bd34KM8T2QXm2SETIBkZGRkZGRkZLyjSDmhK8zlUWXTRyOG7ZEKvrnaTc3AlXTNDJBk53T9GjaD+50g1xH+CUdL+1Ozu5dKUjmWjqqKTNLYT16Hz0hACO2ehJX0U1CR9SNtP7z3OgYjj+OSE6XTa7HLXdchGsisJTHcsNLv328bkbTKr7IrjAsrP/sgbvXlK+L4f+nP88ltv8Mtv/QrvP3zA/bsv8X/9P/47wwpGVCEdOkUGR3r9T+Rba552e+iBN2QNqsy/9g7Q3lcKqFe86cgZ4uJPipKyCKoQISoZbIFuVuAqKCdBYeKDW4QClavZVGAmc4r5EUVZNAoAawytmW0Iy9ghbLxlo4rTa+rKURWOQsCIwWkgavCCQ6kqh/q6UQD4GCPEFqYZfbtM7cB6z9heS7h7brjmLdHQkiyM3ua7U+eO92Ef6XWISmRX/BARYTqdYMwZi8VxeHacxw/7ru14Ys4itm/M/nOqiU2M941HqSvHk0cXeOc4vXOPsztnUcET7iXvawqj2LLYculrCZ9UP5G0DOoPEWnc4hpXqlSuWfttckQjyTMMjvo8kIOgPjtkAiQjIyMjIyMj4wVD+wO+Y8y1dMj2jir0f+Qn27O3e53SvHavSs4MXQWD6ak/du0Ab/U5/WskuD4IvPOok9WiJ0AZITGaXXmBWxAIg6r3XBDLqrJeC6olVw/XIBsKW6CAqyuKwlJOih5p0jYkGLVNBgyi8iU4wJg4V36v0dlUlWI4DIzOQ679Ez/wpzheHPG51z/D9fJ6dJyjUyAHFQv968zqkEgbO9J8ih+ttdTOsVqt8D4EqD1eTJkWUBQ2KDc0BEv1CPV6iUExkxkeQ+UJSiIMvjDYxSnlbI61tjcW71sCqiXvogrBGErA3LlDfXWBcxUSc/R4D44QMNWrB/VAIO6sCkVpiEcaNVAydnet075MP1txdpLwQ/vlwmA6+pAOQXaocqOLp3WD6rra7Grb2qDEmM3i+eZ7x0DPdUi3XndlzmnqUWm8zQCquibwU8rRfIGvHNaG+DBXV1ecnZ1STMygv33XlzCfgPqG/IBA2LVfmLvv7YSwJh1lWlSzPC8oT68A+QqIU77qkAmQjIyMjIyMjIwXDOlHu4kuAT2DIdlIkdBoFBUjIoKx3WlBRn+r77aTugTJoJCMfei03BUiHGKI9Zid7Z3osfgj+z53XRi6JMN0Oh29prDlIIhiv26NdUqqXcCo2epr77pdhNGIcdnrZ6dnq+sNm+s6nod//X/9r3H/zn1A+Df/k3+bdbXh8ftXW/3tvhnvR4fY2qkaCccaOw+YLEo4Ifa9LdYqkKQhC9brDarKZFJQWgkpaCdFyPiDhngf04Ll+Ypqc4k/Usx0hvMK3jAvC44XR9STOUUMipoUOyFFa39OG8OdkJOnMBMoS5iW+NU19eoKp45a27gyqjGmRWkBxTuHi4qkXTEwungaN5RmYocEYVelwPi9sRsS1THhblV1N5S/HdE5pvzqESPNcATE9M7tC7Q7PKeqbT2RJbJWODk5bggvxMWAqJ7ZbIKqawjcgBgstUOiqPcdlRnNTR1nK/Z1cE/vUMD0Xjsqk4wXH5kAycjIyMjIyMh4ASHRiNzlYN7E3aBjOyUjIv2rsm3Q9qTc4/V2YxkM7aBhFpJW6R5l8aXAIhghfRXFoeTAeNmbrhs7NvTcH3fdYSc5k47OSkM3bqpKCNgYTE3TIStuZwTtDEypxECtAeurivMPrps+lcw5f/8KRPAupBg9f9AnQLbG0jVut971yQ8ZDKeJ9RE3uk9fWcDJpOf20hRslBmeRhVjhFk5wahirMWKobSBAJouZpR+wma9wa0ripM7zI9Pubq8YL1ccb2uMQvLdDpFEGxRYCSkK0ZstFg93gc1ydaNGQ9ZM+Xq+ooai/Mh5sdkWuJdSLlalCXlxOJ9RbX2WAkZSoSdj+AobjKE+6RXvKmGlzy1LZ1u0vF+HeoKM4ZdLjFbsYBIJEI/de9eInOkXP8cWGuYzyeNG40m+koVKOPa3zS21AcaMm+M7Bi6pQ0Jj+H7bqym54UcA+TZIRMgGRkZGRkZGRkvKBK50TNeTdyiTJLttFsqPdU5JKXHiI01LtOncSHoB3MclB3Yl6m+ZDRMS0OKNRl70W+3f+FIn0xnZ387BWnaod0Wo8j29i3ReG9UFf0+d/vQI5KanmyPIelAREFUOv0Ikvvb4vDApGEtmhWRdGwXhiwGW0sJYW768zJeRW9+FER1R+tRl6QaXEy8ZzadMysspRVmZcmkKJhaYVKU2LLEiDA7OsJOHfc/+WlO7t7D1TXL5TV1VVOUk6goSU34oNiIMUCEArVJ4UScJ23GLAh2MuHstTneOYwYjBGsMayXSx6++yblpMQaD55A0iD4yvVUVlv31h6Xjl0YC6zbWxj9sEE1EzFwWOl9cUBuIiuGSOdUk07KxvtpN8ExRpDsqtsWXbKlXz65Pmli6jB0KdB9JM/w1M2xXLqug18Z5UcmQJ4dMgGSkZGRkZGRkfGCIkX9GDUetgzgEVJjIABJKoaxDCfj9ltLAXTbufG3+Bhv0hAO6fwY+QHgRxUjIklR0O+rDIzHLry07RxiPnT1EH3KI+06B5LDJvIpuhkkI28MrWKmpVe2SKGxvjRqnsRihU+f/sZXUsWsVxV2YrFYXv36+7Gc4l26bzx15disN6zXa0QE5zxShHWdlCXltKQsSooiZkIxBmMKNMbKEAy1qygnBW/8j+/23AVGCRgN96v3inN1iNmwmKPVhklZMpuUTKeWsiywtsSIwVuhXEwwWjCdz3F1jXcOawuM7bBpMW6Dd4AE5UsT/DcuQat+Cp9NdMXw6d6wFu9DGltjLOVsxmx+jLUC6qi0QsQipqAoHd5Y/A3kxpgK4qb1HUxaKv2hyI+hu0y3rl1xZloSJ9z14Tnb7vvtDP3khuNiLI/DlCf73E12od9HGEt5O6rmGDxXh5IgqoOvGRkeeD7IBMizQyZAMjIyMjIyMjJeVHSIhD75IVvnh+XaH/od9AQYh/5obw2n7UZbfN2npqNxBPquFy21sNMdBehpLxqDzUdjapuU2eUSU7MjhWf3mrFjOkgEk3axJcQcCNElukZrSIc5CkkESkJ//raDam7LW7o1qw+pZpfLZeOE061rs664uLzGe1guV6zXNdWm5ur6EnxIPRuCvoZd+smkpCwtR0dzjk8WzGczjDjEGKbTCR7wzjcuG9qZI9nuXfjzihdPXdcYY5hMZ0hRYqclTArUgqpHBWrvKcoJmILJ7AxbFNR1TVVVnXgPprtUzbxKVHIM43R471Gf5rWN2tLAJLGQYoqC+ekZm+UF3gnGThr3I98uYGeOwziHLh67sFMdMsYdHfhM3qQ4GXPhGD4HuwjQIcF4KPGx7WrSMJ2jSpmnj5uyjyjxHS7iZjJFtb0zknjsMHcgeu0cum4fBjkLzLNDJkAyMjIyMjIyMl4wNC4lnc/jRk8yELdJhbHd20Z4IdEAjYZ52i3etqmS8sQ0Hje3jSNwaGaM/ueudD0Y+W3MBOjTExr7vk0a9JQWoTJA4tVhwF5bckJ0e96SGiWpaYJtbECSDN4w5voyjKXSIyrQXt96ZZOyR/t9T9PrvaeuKpbX1xSzeVOj947Ly2s+ePCEqnas1jXOK5vVhqqqAOXsZMbx8QSncH6+5PpqBWJZLBasN471xjGZLJnNJpwcH9PEiu1sezeZM0aNvmT0xk8GNps119dLCiFk13EWP5nireDU4VzN3Ftqp5hySu08m6qirutOdWF+UlDgUHeIvWKtRQCvLelhrAmJSGKf1AdFipiQXldo055aa5nOFlxdXCBa44Dah1wxPrYz9Cbqrtv+dR8vLzuN2WiR33K3f+xZ6uIQFUqT1YRnIWjoKlEOq+8QNcj+65LrTVd9Mh6cVJMLobbUZA5i+ncOMgGSkZGRkZGRkfECQjuMxNjOqXSMwVvvCEMgM7ptjRpl0fjf05dDdsG3GpR2Z/gm46xt2tL63jva+CCesVghqGIaY1IbF5o0LhUF8Q2pYaIsIJmBhjhvUQBgRgkiuJn82HUszrkM5r7xW+oTJuGNx3tHHf8KbWMRLK/XXF2tWW9qrpdrVqsa5zybaoMV+Oyn73N8VLLZVFxeX/Paa3d48mTJW289DC4vCkVRs9nUeO+Zz6Yoc1DFx5geJtqNw+CyQxiT7k2hqmqcq/ECjy+veXh+wd07p7z2iU+AEVbXl0yKgtrV+OUVi8UiqHw6XIp3NV6VoigbIkTE4FVRVwdVTCSVUopdEQlKEEIAzaIIM+l9TFNswNjgPrNxDltY6g3UTLDTAvGKFcXVNXVvzVr8zZ96v89tKbz15Tf5E3/qv+CXfvkXePToIbVz3L//Mr/m276D3/Zbfwd3794bECDtxb3HcOczeQN2EZG0U/qt33w/Fj1MhbHvGR0nGPwW8TEWSHTXuTHiYn+skPQcpO8Iv/P6QDJp//MN/dl+P17+uUE/hAtM5nW2kAmQjIyMjIyMjIyvIhyaAWXftcE2NYz5r7dKi6H7SvtbeldAw3Suf1x6L8T4DKEP27L8bdeYznVN29K4nAxjHfQ7QyyXxhn+xBi0cXBozdE2zoc0nE2rnYnWP6bjLqCd9+04Dtpxb8Y2ogdQ2M5VrGnTetTIffT4nPWqpqo8q1VwH6mqGl87vuZrX+XkeEphDc6FwJ5VXXHnzhGK8M7bwVBXlNm0ZLOB5WrN8YnHmORG0km5vG9UIlE1IRS2wFrDdDZnMZ9yeXkFojx69IhyUnLv3kvcuf8aq+UVtpjjNyuuri45OjmjsCW1q0OdBqZ2gkcxRHJFBBO5IjXgovojdMEAKStMJLZcjfcurlGIDQJwdXnJ5eUVxjmK6RGLxSlihIuLcwyBzFkPR7nrfhP44NEHPH78iL/n134XL730EtYWvPHGL/ODf+nP8yN/9S/zR//tf5+zszuDxW45wnYem1Mj09w5ceCz37aUqjjcMt6OLbI77auOGOo3qTuG9Y3Vvd91RjvfW9vkR6dUMwlj32e7yJnt89sKm+dNguQYIM8OHxkBIiLfA/yzwHcBnwYeAj8O/EFV/akDrv9a4I8Cfz+BpP/LwO9T1Z95bp3OyMjIyMjIyPgIMJ5q8hDyYVdd6a9ff3fP+RC7apyw2C3v19RIZ9f7sJgASpsZJlUSYjuojqg/en30iKSYDTFoprqozR/OhDbRPXyXtxGgkdf345PsG7sm95rhlDQTraDSc03qFtmJSOp0XZuc99S1Y3m95uJiRZjbms9/5mUWRxMmk7KJ2VHXns2mprAFx0cTXn/9Pm+99QFXXikKS12HGCMhY0oRDO6uzb2rj9ohj5r71GCNYgpDUVpmpmC13nB5cQkI3jnm8zk1Duqa9fU5tiiYzY4C92EM5bQMU+VcIKW8B2MobQqKazAasruoTwRbclsSjAmqEChwzuHVY4yhqirWqzXiHMV0ihQlq/USCKoRVcW5wVijJEk7c7JaBpcjgM986hv4l/6F/1NvWn7dr4HPfubr+X/+R/8u3//nf4D/yW/+7ftWtzOfe07p+DO6pU6IlcxnBbNZEcvsrljbh3TH+XGSoJvFabsfu8mNRDAc4gKz/d3XDV6qDNVYPUVJQ374yIfqdpkRpd04WlKwe+3zg3wIAiQTJ0N8lAqQ3w28BPx7wM8CrwK/H/gJEfluVf3RXReKyCsEwuM94H8J1MC/Bvx3IvJ3q+qbz7vzGRkZGRkZGRnPE8HFhVErZ3dMkIC9xERQgLcpcsNZ0g/lZDQODfyxn/c3u69o4hlCnY2EIDIAiQQY+ZHejiEqNbaKJCKiJkjfx+bEETLHSPM+tOURTdcriKU1oGwwmrW/IR864RmfiXGMh2xp1yEZsd3grI3yY2jwaGvs/djf/Gu8/d472GLCxdUlztX88P/ww1xfrZgUCz776q9mMS94/fVTytIwn8/wdU1RFHh1GGOoNxWzs1MePX7MtBDu3T/m8aMl3iteie4zFcbaRjnRdkXb/vZHHMYclzS4m3hsYZlOJvi6RtVRest8sQBVlqtVyATjK4wR/LJCOWc6mVEGv5WQ7tYr1hiMsWBp4oFYE9xhCglr630YHyJNTJDgaSSoCmIU48E5Zb1eo94xmU472WHC4viYQcdV9bbiY3Bguap48mTTnYYtTCZ3AHj06EmvbC+WyvBRSJ+b+6arwen2YfBZey9hvc5gNpuMXBdi2KQsMIekct5v7LtOvf2yN6k8uhgjIsbjnIT2QqwgN3K+OdK87CNbbupjN3vMgBfM+CrBR0mA/POq+l73gIj8BeCXgH8Z+J17rv19wF3g16rql+O1fzVe+68C/7vn0uOMjIyMjIyMjK9y9I3yben3kPRoFAyju82HxLpoj/fdPVq1gHQsv+4u7z61S7f/SREi0j3WHg+GuW3k+dKzJVOZwa761hZ7IligH4S1GzxSR0kj6YyhaXpkB38YHHWIVP5H/saP88Vf+YXeuf/2x/8SAK/ee53Pvfb1gGM6KTFWKG0BxuK8A1UKY9hsNlxdnTObTdisKybWUlUVVV0x9QXrjePJkyusNXi3I+pHum/SDnszB6GztiiYTCcUxnB5cUFVV7x8/yW8V6y1zOdTrCmZzaYgU+raMy0niARlR1EYnAs79kYkZqAJc2StaSZFJKXvNYiJZJYKXtt+eh9YP4tFjaDeBYJloohYZvMZq/WGarnEe09RWMrS4FzdD8vRWevxRQovVbVhs1lT1Rveffctvv8H/gsAvuHrv73nitFlOZIXRxvzJb10y2jfiI/lhzF+1HtEDJNJm0a4G+i0HUM3mO829qtFumRBZ/DdvnYn5UDsU5n03VC6CpD+c9h9/yyytHRr0a0+7vNX+vBQnt4FJhM029hJgIjIX/qQdf9eVf3CrpND8iMeeywiXwQ+dUPd/zjwFxP5Ea/9QES+D/gdZAIkIyMjIyMj4+OAcXEEsL0buisDzM6qez/ggzUuA6ZDaIUIYzXu6kN6v01itFa/olHsIKMql7Gd2H57rvPZR76iez5Vm+oZN/C6xlobT2SYmjZcL1EBEtLxbs/FUEa/i+Ro1S+d8cVD2lGeDDmYNCX/h9/1e7i4OGc6P2I6XfD+g4c8enTJo8eXrJYVrq55991L6s2KX/13fSYqKHyId2IM1hqsEVarFcenZ8wWU37hl78U4oOo4rxHN47LqxWzWUkh48blcBbTPBRFASI4ryzmc8AxmR6zXq8pihCItdrULBZzJtOSxdGcspjE9uHo6KgZ8HRSIhLirjjnI3nQvV87kyQtQdD0qrl3CDezAYuh8jVihHJSUBQls+mETbVpYsKkLDHGmP6uf4ek2iK8VLl7R/m5n/1b/Phf/6v88I/8YHPu5PiU7/lN/wjqrvjiz/+1nutH44bhPV7Bqzb9VvWxTHMD4bwPc+WDUkW0+0WhjTl+76W7fO3X/doQx6Uzhs4d1TnW/7K5vUtHq/po6+wGHu60egslSFO7dMsG4iZ8tgQFyzYR2cYF6dwXB7S3t3+xyqZ+fb7kR9uPpyNAvprwvPmHhH0KkO8GHgBXt2zYEAiMu7e8DhF5Gfhm4I/vKTMHvhb4EyOnfxL4n4vIK2MES0ZGRkZGRkbGVx22lAjbuClGSE9VATuzbGrXJSX98N9T901uOPuOp77IDfXsw5gBCkV0K4FWEq+RMEklg9Q/BMsMmSNSQNIuxpUsIFJvkSC7CJvuGNs6251xxbeqj7gwTSIY+qZVrz3AO4/zPsayVZyr2WzWQbHh4fJyhZGC5fWS5fIKAcqyoJwE1xNXea6ePGFTW6qNYqxFfUsC1XXICCNFODa2pqJJICSBgPDB9cUWBUSj9PLqCu+U2WxK7apAPJRTiqKIyg0b+lUWrJYrNtUmXir4GJckEBE1IkVsLbizEF2XVG0rSPGh/w0PpYnMkOBm4x3qPYUxOFXm0wlePYhhMikwZop3LrjwFOXWmPv3QyAnvAZS4v133+eNN96iLE74zl/zD1D7mvPzR7z7/pt8+Z13mU7u4vEIMRBvIu4akiPcMaFMmteY+QZp0v36xrhvFUYipsleJCJs1lVYP2NTZ1sCclRl0b279o955GjnXFKVpL/t75BDSZC+q8vwGgFaF6U+Ceuj0mpcATLWj339a78bR/q849l4lvB/Z8Ty+G6+AvzDTS4w/5Kq/ue3aV1E7hNic9wKEu7W/5AwgD+yp+hdwt3+cORcOvbSWB9E5PEN3Ti7saMZGRkZGRkZGV8BtD/mx+N93EQaDH+Qd1UJjQ9Gr662nBkhXW4iNLp9ui2ZsWts3THuU7z0kWICjLn7DImblB63u7Oc4oYw6EPacW4oDdhnlAitymWXUia5QkTyZVB0iwXZ2oz2Hu89XuOuvw91evWUpWVSWj547wGL4ymTsmA+n3NxeUlVV0xmMzbriqsnj1k9Pqcwd0CK1p3CgIm77o1bSa/xjnqh+QtEgPceiX1zznNxfk05mbBYWMqiZLE4Yjabc3S0YFKGIKvT6RQX09EGtxPLbDYDggpDxGCkCIFOVTFNLFrBOY+17bPiE9mkgfRIc2rEYATWmxWIUFUVZVFSe49ziquDAgUNLjrGhKw5ae73uVKoKnVVgw/BUKfTBZPJAhF45eVP8corn+Kv/tifx7mar/n8N0Y3FRojHW2zl7QuLdKm9I0ESBKyNIQa9NanodYkBsZ1dYib0tziQ9eUFNDTM3RdGXsud48/td4lP7rHd5MO6dgwm8rNpELqZ/tspGe0jebSeXh6ZbbHtc+tSdrLSfPWHPkKiED+DsoC89z5h11aQIA1h0TB2YZ/ymv/MPDbgd+tqj97QPl9t9lzvgUzMjIyMjIyMp4vGuNDdhsih8vHB2kae0bQdv1eBobDLfusg/pv6uuw/O4YIn0CYZwESRljxrNLbLfrB+VaI67NPNPdzd6BAXEhnUPbc9GZVmlLJlokjiIW6pvd6ZNEwkQ1ZjWxFmNNY+SXxnAqinzwAdbVzOZTJtMJ08mMunLUVcWitLz7S29yqo7XZx6tgzojqQm65Fs/+OPufjWz1SEiZvOSo8Wc2XxOWZZMpxOm0xJrTSDcjCFkawlER1GUlJMSJag/RAwha21QQ4iRGM+2nbvk4uC94p2L93gkYXzIHmOMhCCw1lJYy2Q6QawEFY0YrLGh35G8gUC+RDarXbtIEjT/qaI+3ktoDBorjRJJUe6c3eP09C5vfOmLCKZ9BtWj3kXiyOHqGl9vUFfh6wrnampX4+qauq6pnQsuSh3CxHsXiTCP7xAYzrugdkkxbjrEwNZ92Nz3rYKkf8/uVlH0MQwUPHx2BnfNDjVJS8K0dWy5DA0+d1tM4+t1YdDnMTekMbQKrc6xoRzrYwgR+R4R+WMi8vMici0ib4rInxSRbznw+q8VkT8tIk9E5EJE/pyIfOOeS74i/MNOBYiqzp+icVT1IXCra0Xk3wJ+L/Avquofu6H4I8Jt9tLIuXvxdUwdgqreuaEfj8kqkIyMjIyMjIwXAI2hHw2uMWN/V6DQLcKDMbJg8Lm7KRyN62H0x5tUKLd2ZdHWHBvP8DAsPk6q7CNMbtuvVg3TxhgZqkm26kuZW5IbjRIvaMmKcGFTqFNfz6qi5/+SGmewPNunsUaYFIaVCQePrecbXr2HbjZcPLpATk9470tv8eYbb3H39dcwXnn45lt8+s5dXr93l8VsRlFseOyhsAVFaUDaLCp7Ib09f6w1uCooIYrCMpvNmc3mGAuYRCwlgkBiRhcwEgmI2jM7mrOpKparFfPZBCMWqFFfxiZNfw5Vcc5FNYjBmGjwe48RwQDeVSyXS0wkP4yzwc0lynCKwuKcRaI6RIxE8sC2azyKRISAaeK7KB3nIFTBOUdVrQPVoEGpg/eBBFEPqhg8ggcRvLQZeBRBCS487e1i8ChG2owrqqHHYoK7TGSjBvfMGBnRP3/T89KSEIT56dTXvz4QK6Gcif12HWWIAnbwnZXIGNtRp+zHkBQOs5+IqwFZdwOpOyRZ9rW3XfvzwUcUA+QrmrX1K8U/fJRZYAAQkX8D+FeA36+q//5N5VV1KSK/SIgVMsS3AO9rjv+RkZGRkZGR8VWOnpvEDozJxYfkx3YwT7b82Yd17ovxcahhNDqWQR97OWEOMDR29WuXwTZGBN3U97H5Ixq3o7viUR5PcheJooRk/iI0LiodKiSc18SJhLnQphydUrEfdPbSYyHvfaOeCCQZLBZT1r7ms/eOsHXNcr3hzmLG9RffoHp8zsuuZrLZsKkqjmvHvdM7aO1xG88nj2Ys1x4xwV0kqTPUa5I+dMiQ2KPYqfawAAZbBDKgKEomkznlZIK1MYCnd1gTlB6Ni4f3kWwRrC1YrzccHS1Q71htVszsLKSp1XVQhFCSMrd2swgZk4zsMNc+EhfOOZbLJaqek8WiHVc3voZ3MeaIaerRyH8cZuMql9cXzfx076MPHr7DxeUT7t19Be9qvAZyRp0DX2PEUxooQwZfKufZqGIlpHiuo+rG+fZOMiYSC10uTkJqYNBGFaICLc2TMJ7JqBnJHnKx0xpDh4K+0Mx06u5OYPd4OtctF9Nn6+600+OuMulGVPCduB0jCrOh6uMm15sh4aHdwX4FFCAfkQvMxzJr64cmQETkOwjKi7+sqqtbXvsHgT8A/AFV/cO3uPRPAf+CiLymqu/Euu4B38ueAKoZGRkZGRkZGV9tuI2iYpcSoq9WSD/mh7u1cc+0o1zoukB069tb/8i5XWW6RsRN49xXzy4lzK6+7lVzjIxhNzrqjKTuaKzMZHC2czu8dCj2gO1iCb5tpAdrDZPphNW6oiwLvHqOp1PuzWfUyxXVes18OmHiPSfTglKm6JNLvAicnlBOJywvl0xnM6QwlCoxMGn3PpG2b5EI2TUt3ivVZo2xIe6EtRYlEBOFNXjvYnBVBe/DPr+NSgxVJpMSa8rg6iJCURYoM+qqiuSIBUwUV0hQT5BUO4HMCMqPaEgTXGZcHVxBjk9OMNZSbTbRzUVxLhjDZVlGYkIxxjSkzPD26I29a0iL8F/9uT/Nu++9z927rzKfHeG94/GTD3j7nV+hKAq+/ld9W0N+iDpKWzOdCqUpWJSWwhjKwnB+teJ8WbOuNnixGAGH4H1UyxiD94F88LhGGWIwoEl1og1v1T7xYVY6C9q8PgsTO63DOFpVDHSfreR6M3zedqe2HX8PTSagSKB0v812XX+IIqR/XVvrbQjWD4OPQgEyJirQFyBr64fhH2B/DJBhQ78vdrh77D8Hfhz4AeCnROTVW9T3e4E/BPxZ4AdF5O/t/P3dnXI/JLKlOfsjwBPgz4nIbxORfxT4foK05v9yaB8yMjIyMjIyMl5U3LQjuT8Oxv76kqGx5SbTlibswuoWWbCr7n193HdtN97APmNil/vLvvc7y3f+He4G7zOOeuXafeBWlqH7+zlE1zhLdd+0+wxEu1BRPMYIZ2fHIZ1rabHGYucTLuolvqhY1yswwtXlJa7asK7WVOs1Wm3Q9QYDPDp/wMX1u5y7Jc5aREIAVCMxpS3RuNwxlLB/H0/GoKx1XVHFmBUAZVFi7JT57IjpdBYnIKx7Svta1XXIYNPEBQmjLMsJQU+SVB4gBkR8JBNCtpiUujaVEyMYG8wd52uOFkcxsGndxAVBorsXBmsLyqKkKIpGlZJIhHaknbcja/Wt3/RtTCdT3vryL/IzP/cT/Nzf+gJPnnzApz/5tXzX3/NbOD6+A+oxOApfszDK/aMJLx3PuXu8YDEtqeug7JmXFoNHXUWhjrkFxTeBZl2M/aEasgGFKQ1uMqqKdz7GYWmZNkXwYnDi8NSAx4vBi+AElEgw9aLYbH/PtJ+7So7+Nd14IC2x6gjuZdvfD32CIShfxp7B25DC4bbd/n7Y9ZwdQmgMRxnYloPN6qeCV3mqv2cNabO2/vSeMilr61iZnwReiS4yN7X1TPmHhNsoQP4p4Mc6jf8D8dgfB36K4NPz+wmxPA7B98bX3xr/uvgV4HO7LlTVd0Xk7yMQIf8Z4Sn9y8BvVNU3Dmw/IyMjIyMjI+OFRKOcSC4GA3QVD7fegewYsmMxLnpyciAFcgw4/Ef+mME0dDGRrmCC3UTIIQqTYTutzdclirTXXquGaesbttftd1tH69Iytj5jRlpyj2lVIaO6kJ3XjyHEwQipW+/ePQUF75/ga8GbivXqks1miasdYgz1ao2xBisx04q11FXN5dU501mNPb5HUYbUtEVRMp0WlJMCrTfdm6Df1zQOBYnGtndBCWJtIDLKcgIiFMawmC+Ci4k1eBcCkpp4k3nnURWs9YF4kbTzHeJcLNfXlGWJMcFNJu2Ki0R6xIDiEGxvbp2rqauKiS3wdY16DSlwveJ8jYjB2hSHQqgdGCeDUW6Pu6+gCPfKt37zt+PdlMvrTVBfdO4v7x2qHqMwFc98Cq+cnnD37IjZbIYI1HVNtd7w3pNrquqKUgQsLAqDLS3XdU3IcpwyDClgwhxGVyjnFTEaXYYSSdfNixJJCzEoBjqZkEQ9jR9X6HV7v209a5350ESsJveW5MaS5klIgYm7GHdTC3FidjJuvQra1RjWmQRLTYrmZip2lB/0ZVe5r5Tq4xniTG7Ihqo3xMoEkPCl9Fyztg7wrPkH4HYEyOeA/7Tz+bcDbwP/C1VVCeln/rFDO6Cq3/1hyqnqF4HfdkgdGRkZGRkZGRlfjQg/3Nsf3TcpJXYRBz2jBUbsimDEacOEDFUMhylNxtxlhn3YJhlaCf4uu2JIQMQKGpl/GpgM6YROE4mASONBogHZGK80riz9TCvd63S3uv8GtEZWO7uiQTiC9teqNbQ6Rmay5rTd0xbaHf/FfMZqvuL6esLa+5AphRA6c2IKFotj1oVFvUM3NarKZDqNaoIwLlNYrDUU1nJ8Mmc2DTE63D57Tzo74nF6NptNHHO43ppgoE8Ky6QsMVYacsSmVLNiEEzQCERlgzVBiaEploXzSClNZhYjQhI4xOZJepTGRQZwTrGmpKocUAcSyAS3G++Uokzpc4OxX1iLMyEoqZju/Zz+aW8WTfdLe1vGXkSqK6lcmswtAJ5CaxbllJdfOuPkzllIVYtQVxUbe82d2nF+vcLYgrnxTCL5oa4GCe5F4d4JLjom5CyOaxlOOu/CPTtYP5Hm7klOQukGa+rs04chjojs+B5QlVhnP3U3dO9r6ZwffCeNKsXGA59K7wusL0tKhMtugqLt001Exj4l1nicoOeLF4RzSVlb/zn9ymRt/RzPkH9IuA0BcgRcdz7/A8AParv6P8NHGMwkIyMjIyMjI+PjhjHjZZc64HY/wlsyYkwF0q8rGTThupva2UeCpLq33EQYBESNpIM07XbrorG2W/4iXt0wCltDbcfSjDOldu2QH3GneNgvZSCAaKNv9vqedtabgKY75yERTtvCii3lSOe1t4MdbdgUrLMoDHfunWGM4f23H6Bs8HUgAjx1iA/ipzhXU2mFiiIGrImuLsZirEVMSFtrrTCfT0CDj/nWfdgoBvrnjDEx6Kug6hFjsCjWhICozrmQ0UUEL4qv6xDM1QqVC64dRWFRryFYapyOarPG+RpFMca2LmDNvLTkmOKxMdVsIBCDu4gpS0QEpyFVbiI8vA/9xIcYG8Z008VK5/3YyvTfN/exD7E5EqnjI/nhvceKQwXm05L5bEFZTAkpcuJ1RUgb/MmXDW+9/5hqs2G5cayqimlhqRWqdC9EtYR30t7IVpDoArNLSSEizX0sktyctMt9tOuLoFEo0te8tKNuyQjtHOsWSd9l6Vnp8JMHuo11UzF3yc30zOuANNHeddv1j30XDeMJ7SZChCCEcHv7/Kzgn5Z5DXhyiMJjH+QrlLV1gOfCP9yGAHkL+FYAEfks8I3Av9s5f5eQfzcjIyMjIyMjI+M5YJ9rxKHnEj8w/LmefPKHx4MN2TEGR9xE+vUcTpD03tMJzdhVaoz0J1lPknaru8ZQ04dkcHV34luNAM04aCdFto2h0TH12hNU9s/JOLQ1WKWv/Nheq3a3OlEsY30tCsvJ6RHiHeX5hofrNSG7qlI5j1gL6jCTKa4K7jApxbLznokIJ8dz7t45oSzLZqzBxty6Y+jFQUmj8grOgxEUS1kUVLVHxFPVG8RAKTaQD1Fa4lWDKiQGXzU2ZDhxdU2tirWWqq4xxmJDdNaOboje2iZlSJqTrjuZ2KA4MVFdY9TgDUF9oeBwVFXVEDBiTKQvWtPak1Q8Q1lFZ168D1eoorQpX5MCpLAh++38aMF0cUw5XWBsiVhDPdvgBWxdczxT7p8d8ea7a9ZVTXB1IbgaaSRmREIcFFdjrY1jURBw6nGuTwqk57xVVJkdCoxmNgENUUFsO9TAAQRyxagSYmBYwIV4MM1DnOKJuDgHnbtHY9wWH57V/cRDn2lrSQjpkCttHc1rh+xFt2iZ0Wt2zcXwWFCcSCSZni8+ojS4AMhHl7X1ufAPtyFAvg/4PSJige+MjX1/5/w3A7982w5kZGRkZGRkZGRsozGEt7db++dvOAZ9w1w6rzfvWfZkD83noaE+7MMujBr5XaOn0WH0lRLD65v+azCkeiRIxziVzr9bO8eDkY2d2hVjZGssQIoxsEv1IYyt5fj4GlekxsZLBE33swQDu+MSAyGjyt07CzaXsFpumMgEEXApIKYtsFNBXYURQ8iqGtxQJgWUp0ch04p6lBiIVKMx31va8XX26jGqiAbXirIsggKjdtSmpihsUK5Ewx2IZEvI+FIWlqK0uLoKJIUY6qqOiiDwLrj3BGoizIuL2VySGiZa+UC43tqC2rnW8I/kTYyZGgKvplUyhs2m6hEHOnijndfhORHT3IPBHcMPygdipaoUZwo2GCa2QIqS1XrFm2+9hboK8JiqZjGZUhYl1aoOa6XgCCluFQETI/NImHuLJami1KdYGn3CRkQwYhExSGI1IsEQYnj0yYbmiewcMpJokahNiPerNqU1BsZNz2IbgwRtSb2gXvE3E6dbb1Jd0tY7vGaE2OgRIgdgzHXvqzQOyFNBPtqsrc+Ff7gNAfJvEBiY3xMb/5dU9V0ACZFe/3HgP75tBzIyMjIyMjIyMvo4RM2x73wXo+U6RbaNg3HXjF1t3ESE7JKRH4SkjKBbR+xja3G2hle00gIxIr1B9DK2pOobMiY1tq2sGJ0LHZJANytAxnisoWtQd9x+0N/+PLaUTTBwTWuNq6IuGJ7TSQm1RRCMFUQFxFBtKoy1wfA34fLCFtRVxdRocAFR7XTm5vVTwEtwoWiVM8HlwznPbBJiblhbgkpsvw6KBmNRH2JvBIIiKg9EowsNOOeYTiYN+ZG6JpiYeaYlOFptQGBNbGEoNcUTSUFsg/rBx3gjVV3FKgMJoq5GvceUFrxrZ33H/dAsnYkKFJ9uzbBG6tsYIyGuiseK8t7777G5vuTu3Zc4f/QBx4spk8kJV5eXqFRUqzWnRzPevVxSewcY1JhAHABGLV4EC/FmVQQTsuiINKl+QzcDYeCc46133qWwlqIo473j8C4QP4FISnGHTMwqk55FenWnY0FhEVUuPoxXJQTDdXXI+qK+dTnyvm44PlXDJz71KYqi2PpuafvdEk/ttG+rQnapOdL9ktQ4W22MtbtHAfKhvtduCYWnzujyYXooI1lbO6fXqvqFWO6HgN+kfZnKHwH+WULW1n+d4En3r3G7rK3PhX84mABR1UfA94jIKbBU1WpQ5DcBX7ptBzIyMjIyMjIyMsbR3TGFbfXBrevrWPNbxoQ2G8eDHsjwYL8++kZBF/v6u8+Vpm9YJIKho/LoMThE0kL6xk1XcJEEFDt8/ttWlI63Dz1lSac9TZMVd/objcnImPpKHulMdH9edq/piOXXwLeGaeRu0hp7X+PqmqmZogasFZwKdeXwrkadx7savMFgQupXBWsLUE8KjdkYleP25FZXRUx6G43j0LfCFnhcMHy1oNrUoGCmJYLivaNWpSxLYubcEOvDCOv1hrIsmc5mGDGN0kOjDCjY60ndQSBsTJrvWFfMfGNC/tzUWUAxRpiUJaohY4xzITCs8v9n789jNdvS9C7w96619t7fcM6JExE37pRzDS7XgLGrGpvCmOrCbYyEZZkWIFmtbgSi+w8QDWKwWgyCZhCNhITViJZQg1AzC1pthJqmMU1RtqtwAYayy9hZdlVWZWVW5p1iOHHON+2911pv/7HWHr7hnIi4eeNmZuV+UnHP9+1h7bXXHvJ7n/W8zwttE9BOJJE5snS9hnMew2DSMfI2Gg+unyptG/Ahst21XN5bsH6+Qpqaum0ItuLZ0+esV2se3DvDGmFeFMytIQLWWK7bQMgpIFFjIrZsd17JENUaQWI2Re3zmBIpsVqtuF5dcW95kXw9BNq2TqSPal8Rp0v18blicNSkshk/QzGmVCWNEecKlEjn/6KayA/v/d695NsGI7EfF7VlrpAzqFEU6FJbBoqxG8K08DZD1Vs9RHopzsnVt+IukuTTwrdJcPJtrdr6uviHV1GAdB25PrFsC/yFV21rwoQJEyZMmDBhwjHGCg/lWClwSoJ9F/lwuP74x/s4xBgIkv0mX0y4vIxy5VSwcurvsE3HGfR0EN2HPm1m4DwQ0x3jqCbM0bHT8TquY6Sq6Nrv5fKj8expleOUlzshRx+GtIJREzlOzYH2EACOIyDZO7dEHlhj+/ZiVKIPhBARZ/FRwRhiG0AV75PyAoS2bTEGxEC5mOGsSQSCAEFzxo30c+3js9XRv71TzYqBGJWiKDEmlb01YiicwxWOGCLWGsrZjBgiTWhS6ksIhBBSqVwjWJtSWFIgn4L8mBUcJl9/I4nEGV8KI2ZP9WNE8D5inGGoekJfUUY1jaOxNh8rnQexS/0ZXYvu/E8EpSqJgIj9/aoH2ypNAI1Qb2s4D5RO2K3W2KJgMS+ZFyWPLu+hzY6bqxt801A5Q+2V+8sZN89XIxULdOk26dpHnLVJ2OM6lcaof1FTlZ5MdDhjEVF8K0RMIqiIhOjZrq/ZrFeE4FmenbO4uKQs5jhnc4ndlLriXDlqPylIQoz4plPVdKqPiLU2kSNoqgDkI2IiddNgnevJo3wn5ed75B0yflZuUW0c+YDsDcDxNeu2OfWOvI3oGN5lnw4z8e3wANHvkKqtnzT/cCsBIiLvAk9VdfcqDUq6c94hmZscsjQTJkyYMGHChAkTXoDbfoyPCYS7CY0XHgFGgdlxDD8mRPa9Hz6+kmP/vG41GD3YbpDBn6I0hj6pak9c7HE5J3Y5blt6QcBhRZpTfer8ProUgcO+HY5Jp9DoUhCGwDVvM5L6q5DTJpLx5qH9R6eEGcZNcxpInhU3ghohhkj0AarkSdEF9VEUKUuMEYJ1tG3Is+1CMT/rr7ztU3s6wi0OwfyIjDoMAWNOc+jKxyZFhydEZTYrcdYhxjKvZhiT0000bWfzOgDrJKfQKE3TApnAsGCtGYiujhfpBz+PwahXIpKyhLLZZiJ0EmFiTDIt7Rpw1lFvd8QQmM0q6rZJpq79CQ4Ckv6Aw5HyNeiMP4eoXQmZ2VICUBWWz94/Z15VGIS1jwRjWVxcpMo4bcu2TSRWm49fOEMUwYfhjujvJdWk0NAhJaVLvxlj7I8jIliXjEvTdYq0rWe9u+GX/twv8OTD9zGiFNZQzmec3X/ED/+1v4fL+2/25KHJZrfd/WhFewLEOpeq/hjTEyCmJx5j8nfRiGjE+5YQPNjkTTJ6/aTzlBHRI+N1p99/h2Rn/4zdQWzEGPfeSy9UknyK+HaaoH5a+LT4B3PHuq8D/+tXOXjGg7zv7/sY+06YMGHChAkTJkyAIaBnXxGyt16VQ7LkcP2wgL5k6f4PeD0IkgZDyFThYFiTqsHEfpsXBR6HeKHR4R1kym0Kl1uPeQvxcWuaydE3OVp1pLrpcyLGwVIKSg8DqMPPe/4Go8OIdtkbgsnXrL86ymD9KQIi/fYweEwkUiYFnG3wYArM4gxTzYhiKM6WaFnBbEYYqTtMNeuDxb3yqTmVZBx3KmCUHHDvUSA5DSKdp7WWNijWFcxmc4wtUmpEjPighJAIGFuUSE55ESMIBo2CxhT8VmWBtSaV6xXTB/xd0ZkQSdur5PKvOtom63as4EMkMq5gM5yYiOB9y3a77YmcgZzioMjq/u3RXc99/YL0AT+ZMBjVOsJVC87uP8KWM2aLc6pqxuLyPvN7l5iiIJKq81TOsigs1ho+vN7k4jn797J26TwyGL2iuULM/k08qJ8AjMFHyaRN5PGHH/Az/9//nK9/5SvsbtZo20LT4nzLzfvf4K/8+T/LdnNNjD7fIza/gxRjIsba4f7u+jJ67mJ3XSL4qFkRor3yJ4bYV9Hpau+kM8jXlLj//NzyXJ3EAZF7Kv3sVGWjQ7wM2TvhY+FT4R/uSoHZ4zZfEb/1KaoJEyZMmDBhwoTvEJwiQU7NYJ6asR9UDYN5JKNP+0ahx62l/V9MbLxMasydJqIn1usomNs7H5H+h6yMlx/gZMrN4fTywfZ7bUneXsZHGo57rHKR47b672TLkVE/80ns9bwjsLrcHRltGNMGnekmQNMGdLbAVDPMbI4VITZ12tQaxBiKwiHWYsuSPh1EkwpERHDW8rJQBecMISSlRl3XhBDYbmsMwmxW5eC7oWkDs6rEGkVVqKqKznRTuln/nLJjraVwRSJHRHrSxUeFmAJvMWYYjv0hTCakUVPqT5ci1Zm29ioX7S97CIHNdpcIGmf2CaAXpEfsHV+SoagAmHR1CwLqA1erFZdvBtQYLt96i2a3pt6u6T00UIqywBvFryKbEEjij0xwjG+MJC5KRI0m5kxUsvLnWMXVqV/G5JZG4X/4b/8HPnzvQypnsCilM/jCcLPeURUFT9/7Bu//+l/h+370x1NFIetwvVonGcr21XV6smNQVoTge3Ip94x0CWNPWKE6eqS0P7/xM/kyfhxHSjqGd43uD0ja1gw+QnrI+OXtuOVYH8eT6aWhH98E9WNH898efCr8w4s8QP49Efn3PkYHvruGesKECRMmTJgw4TsRB/kpLyIJ9nc9TqPZJwtO/Nbc1/aPAviTR8jL94P/7lj7+x/PtB7ittSabt1t5Mdt7b4M+XG4bp/M0RduPxx7tN3e/uPyoSlI5Oh4XWCWZ/HHvEbfZvffg+ulCmKSJ0avQBCiCOIsriqp6wYpHG1dI4BzlsabZEqqqaTqvHIY4zC2SGkR1uVupiP35WVH/REG9crh2YsYrB05VKhinWU2LzlbLhFjiFEpfUhlcWNIaTx0MaYSYuiDzc64VKPiYzZ8lZTC0jYt1tlBedGTUsNlELqqOtIrZ8xoPBNpEPvgtygK2rZNgXh//ejHOA19r/3Yj4mNDCat3X+1K/sLs0K5WCx59nzLN69WvHlzw+bJivrpDdYCDy/AGnzw4AzlomR73bD1yvUucFaV2KCEuP/cdYqxrtKKiuQKLH7vdun6qh3pEGMuo5uuydWzp7Q+UBilyClSrVfK0lE6pahm/OavfYW3P/sFzh68na9Zp/LIbUefUrBG1xAGkuPQr8OH2Kt2MsOHdiTmK6jMuvdAd5zj7Q+rR41JkO4/x++z/l7XYZOBYP505v2/hwQmr51/uIsA+X98jAOP8c1vcf8JEyZMmDBhwoQJuaLFi37d3aWQON64/8/eshQDnMqQHhMQnYbk7sm6U7n0L1KBjL8ftnOb98lRm7lyy6lDHSo+9vo28lPIK4/VIXuN5ul2OTRDHaln9g6+7y6y15Yk08xxoGZGUp1hvvzgVPu/OlTwNYKJyehzVpU8v14T2hZXVemKFZa2bhFnCL6lqWsuzme5xGoeh2wgOhA0B8e9VVmUbqIuDcMayQoBx3JeMZ8tMMaCCNYopszlVnFJjUAmNrpSskAIEeuSP4jtI5f8QIhQlomsMYDG0JuQpq6kNqIqQUEjqERUA1ESadIlwxhRxIJiqWYFSCBGxYrtRyCIjq7uyZEBwPaVcBIxNQhLkp/G9bphF+HJasvNakXc1czKinpXY5uWokwlicUa8Ib1ts4EkRA1UBQWX/s94ZFk4seIyQqSdN4x6snHVFXRGJDoM/kRhusOvHHvjM1my2q7oygqKlPwpcs3OH9wxjfWDR9+8D5nD94+qTxLV8MhEkmOJyPyIw6VizplyGFlmYF1up0UPfzefe49aE4qPYZmuyd0IDD3n/fhvdDtOuzc+6j05zp6WF8Tvhc8QPiU+IdbCRBV/Xu+xQ5MmDBhwoQJEyZM+Bg4JgR4qYnGl1FYHPEFvchEj1ee2H4cEuQWTh5n3KfDz6eIiMM2XlbWfmKLvN2hckT6mdtTfev2lNGXuwilFDPJ3nXpvBdG2g+Gje+6hNm4sg+uukBrUFnoqQZGhEmSGeSvMeDrGmsAPM1uy6ywuY8GVxWp5WgJsc1+DAHfNthqQada6A98eC1k8A0Zc2lZL4KS0liSz4cnhEA1m2dlSa7WYlKgHmIgEhCxe8oOSAG8zykTyUxz6JSh89SIJK+LkIJ3I0jMahLTSRK6c4gIhhgCkivfJKVH2lajYpyjMjOsdWzWG0KMiW/pAmySz0ZAB08Q2X8KOv8Uyc+U0Pm2wLYOtCFtv/WRr374lC+8cQn3ZizLc0QDTdMQQyC0nmfPrmjaFltYpBZaNdS9qmPkE6QgmOTBkVUpMUZi9lg5NIVVVWIIaY0mTw6AeTXjzYsH/I4f/n7e+8YHfPD4OT7AOw8fctaC/fA5737f53j27BkxtMkEVc2e8qJ7X2kkHV+Tx0d3TdXHPZ41tXHssHJXqtFtHiDd3xd6cuho/EY38Z2pNTI815+u54d8CwTIdw9x8mnxD69cBnfChAkTJkyYMGHC68dtgf5ty+8yCd3fv9/ioM0sPd/bt1M3DPvdxT28tALlYP1tHiavgr6Nfkb8xNilDY+PdeinMN5hJHk/wgH50S0bkyh7aUWn2hoFVd1/pVeDjIKx8WFzGkfnk9Ft0FMlYrjZBq6vt7QxHXRzs2K2XKJhh1gl5JKwGoSPnt0QreMdcT19czwex7qHcQ87Dk1jRCMYKwQRjLXZ6JJe5RFjSMQCSenRlbOVUVQcYyq3YrP/iLWSjtLdq3SEU9rHZPKkm8k3digNIwYsQlWVdMasXV80Wuq6xpkiNx9QFZxzGGNpW58NRukfggiM49G9azOMIJrPLwIGQzQKajJZA0EjX/3oinlV8s7nP0tZzdmtrlk9f8Z2vaLeNhRlwdvnb1B/eAUIjU/pIum4pr936J7fLhUmqy2SIqK7M4Z0rW47chUjVTBieXCx5Ac/8wZf+szneLhY8oXP1lzvGozA5dklz375V3n7/B7PV0948v43eOMzn0OwGGN7RYcYIQbN46l9BSJjTEp1Oby1NPvWdP3Pz2ivuRgRoi/zThl/PlRwjdsfrlJ3QQ+TunIfuvutV331T+mI6Pw0CZEJ3womAmTChAkTJvyWwn/8n/zub3cX9vB3/Z3//be7CxO+yyHSqQIOCYv9H/aHOJVG0hEE+xoDRsGAjLaFg/A2BxBx5A8hjPt1qu/jvrzIy+Ow7y+TMnMqfcYYc2Lf04at6ZxAtPPo6DcfyInDfsuYAjhWlQxkiIzGKv09SV6xP9LSB2bp0+myjUObjM0dRDDOcfml3871aotp1rjSodYRYsDaXEcmBGxZUCxKVtcFjz77RYqyQmPu/4goU1Xi4KKBOfh7eB4aAt4oxlgsMKsKFvMZnSFoHqg8gun+tv33wVPDiIAxg7hFI2jn19GNc9q+q5wTUbwPuayuzZ4YOdFFlRDI93B6CkKIFEWJ9IqVVI0ktexzhsOevqNXlNx25ydjz6xMyRevq9ATsjxC87m0UfnLX/+Axre88/AMv2vR4Kmqigfv3Ge2nLO6WTG3N1gRGt+me7YzNyX292jnnWI7QkKyqejeHZb7EwMRCBiiRMRajLPcv3fGu/cvkhrGOh6cF9w/g5u2ISxn3P+h76c8X/LFWcl295zdzQWzs/vJLHaUhjIQDQbVQcWjRDAHRMP4/t0fSMakxCEJMv4L+wQHo33G753Dd9Dee6QrcXzQtz0CJj/Ph+TH61aETPTKJ4eJAJkwYcKECRMmTPgOhqr2UebJHPVbAoEOp0mEnHIxikWlD+pltKyfg701XeVlcNc+txEZH+c43X575E9PYJxoNzNBwyz6+JhdgDNiRPbIjMM+5lZuSTXqSYWj09J+4845ouvzuJum+5BJrD6kHZdr7U/ScPHmI37kp36a7ZMPuPrNr7LZ1on8CBFbVqBKWZXMLuf82E/8Lqrze3vpE2Yk9U9kx/5c9/jfwXASiUgEYyyz+YylXQLgfYsqtK0HkhKjE33E6IlNg5A8IZLvaVISKJorwwyVRshEh8+pIs4ayrJM+2iqHOOcy9IGk9QHMeLbgGoyg3WFBYEQIwaLkMrghgDOGpo20NSeWDqOQlCRUWA+ugfyvWaNSdVQNJfiDdnYtbs5dCgz3YTIN5885zNv3ePB25fMZguQRJp0+5SFcK9yNKElxtRmd11UUhWdjqhTjVjTpaXs63SS6iONbcjGozHGLCAJXLzzeZ4/+02uNjuKaoY0NRcX9zibzXl2c8Py/Izd5obZYomzQvP0fTSCnS3o/DRCiJlEivgYCTEmjxpjMKoEib06xdzxnHe6i1Ph/8uYo47fWYdGvqcOFomYUSrMmLzU8cty1DZx//34uvA94gHyqWAiQCZMmDBhwoQJE75D0RMb6UsmLU57Z9xGfhwSJaPWR3L423qwL+8ex9jjdrptx7Py4/1f7Nvx8jiWsd+CQ7JhPBG+t9u+4qUjKnRMfow/HpAgXZ/6yLIbo1NkRz7G4Fg6CtIO+nPb1/FijfTlbvuAzaRUExEwrmB+/02aXUO8fgIxEL3HFg5XlswW57hqTnl2jrFmP+DMnhgK6MF43T4bLRChbQM+xBy0GYxIJj+UGAPe+5wKIVnRkavgqOJbj7Gmn6k3Ju1vnSX5gyhN3VDXdT4GuZ8RYwzOWIrSUpZlr2axhfSBfsiBt0JfacYHzSV20z3ufcR7T9sGQgyoZmpKDy6rjEjEblREcNnfhL6yTLe5JCWNajr/OK58kirdRCIhExhdSlGIHiuGty7mXJzP+ODZhptdg4+KmuRrIkZyieBB5SDCQLp01y7f2yKmP34iuRJxUpydU57/EPUHv85HH3yDB/fP073gA7ZwPFs9p0Z4q6xYzCoMAXEG6xzr9SqNtzGE0A58oZGUAqQhV2rulCIBJJFTXfWaw9vpLmXFbf4ft96dMlQp6q4a4/fimBs9aOeUsiTnDeXTec0ajUkC8olhIkAmTJgwYcKECRO+w3BEZoyCdznxI/2lyIUc5KSZ3sNgIWkMxqLuAR2xcVDutQ8c9smO0QFHWRm3q0cOJeovPo0Xn/PYU0PJXMORAuOUkmMIYm9t/cTpdgHksNIM28p4p25xPDnS+ycxqED2zwYEC8ZQ79ZsVqYP4roUJ2MNgk3kRQzEsqC6uE8MntDu0BgIIux8S2Ec3FwjxqZZ8jy+ycQ0BXneNxSXD45iMIFsvjmc9WZ1RdP6VAnGyF6gaHLgHTT2xM0w8oPfzHhsYpcK1Af2iTBBE/ugdAliY+VMMiq1hcv7dqafOfAeMRkC2Y9EU7ld6NN9Ol9O+cxnji5Pb/a5d13pr1m3PnVndK0TA4DNipZ7VcEb9xa8cX4GrSdET4weEUfUSAzJpHU2n1HNIo+WFW8/vMfjZze89+SG612Txl5MUrW4Io9T8kDpVB7K6NnJ9w+GVHFHTbo2Jpmo3v/il4hnFWeVELzH13VWnXiCb/jw8TWzfCrnn/8hzu+/CQhN07Ld7lBHVuvE3vzUSm8FS2eYmhiO0Cthxh4g3Xanxv02I+NDJdwhBE3KnBjp/GK4491jkP7+gq5scLpXjXSkUVbfTAzFdw0mAmTChAkTJkyYMOE7DEc/8PvUhv4/eziVDjNeDgc/z4/U/F2bOSjpjzH8HciM1MB+jPGi0rndQTtG4MWBzalze9H2h9tqLok73j5lFN1Gfgx92wukeiJj/7rc5VFyqs+Hx7yVxJFknLkvIumC1yHFYru65v2vfyWTCUJXMLfbsb9EufToIEwZqXYYndeI+BGT/TpEuHf/DS4fvEHXwkCbSeIhMlkj1lAWju3qirYjOGQoFCp0JWGPyYOO+NAhTKb/Myad+rE1kIkK9u7NfO56MMbatdwdW4egm/Gzku4BETDW8fDRm7Bc8jKQfI7GGqrS4oMSYlKeFIXFqMUJ3FsUzArDsnScXywo5xVN3dDsakofqNngXIkxhhAixhoWy4oQAtY55mcV5+dz3rhY8vRqxeNVzaoNWBGctUk5YwUXbS9bkdFAjVN20iXOf/N1jxopH7zNh1/5FdbPb5hv1tjZnK1GVqstu+drNqWhePvzFJePCCGw3W6wFhaLBaubmzS+uQoQKGKTSSoj/xZViCKYrM65DYfqi25Zd31PKUH6Mxy/C43h5uaGtm0pigIjhhCH5yzq6KkbkSkj/jm1FSNdpZ+etLmj/58EphSYTw4fiwARkQp4A/hIVZtPtksTJkyYMGHChAkTTqEXMpwIvl9KQdGJIO6YJd073kG6zel97j7uXd26M4PlFZQhh/2KDFUkxmTHadJC+/9Kl57COMzf22zgSPZWy97qPeoiMw8dAfEi4cc48N/vqvTLjDEURcHy4j6mKNHYKUr09vY7LkdGm2QhROJN0gy9yWknoiDOUZQVF5cXJz0UxooHI4bCOS4v7+OcTSVW91gzzSTEcJZjgudFd6McfTpUH+UWR9kNp87/8Nr5oNSNRxWcLSjLolcFVNWMBw/v82GuRHMKp+qGWCOcny3wPlDXLYWzzA3cqwzni5JqXgDJsDX5k+z7+IQ2EMMO6wpiDIg1FM5iWo+xFmctHmFxNme2qHirjTx/vuHpzY4GoHDEmEoCd2Ouua9KqpjTKcKUSIy5rHA+hxAj5dk5n/k9P8Vuteb9L/8Su/opz27WbHcN92cGe37B7O3P04ZIfXPD0yePsVa4d/mAy/uXbDYbNuttVkxEAuQ0pFx2V1PqjsnjoD35cJrMGBMZt/l/nCJ+x9htd+x2O4wxNHXN9fU1GiPGJvWTsTY/QoNpbnfsQaGSnFJT5aJEeoju9/t14CVe17+l8UnyD69EgIjIjwP/CvA3Ahb4A8DPiMibwH8I/Euq+v/7Vjo0YcKECRMmTJgw4XZ8EtUGTgUWaUUXSJwIdo+Oe6gWGTWy93lMQIBIlxowpNCI2L1j3BbInJK/n/Y8SYqHlNIhR+ezFyyNl0dAblN27MkLbj/l8XB2x9Hjdaf6v9feiCFQkWwbInzjrzzpZ5xbH4mxS0a4g5zqlRNyQlEhaIys1zuKoqQoS5xA/Zu/wfzz30csHU+vt1yZLYfXuxcmSfqPs4ZqNiMET1fWdP98MyEl42t7++x918mOPxmUIWm7rqCqiOQ0p+40O8KFvWOd8sFxQVDjQWExXyQjWAFrLfP5gnK2gNjunfch6bFfpUkwxiIChTNYU3JulTfOKmazGRiwVQkGmqZBo7JerTFicTZXvHGmr6SCpFLCkhU1wQd0vUVFMEaSUenSUhSGs9Lw/HrLk3oHVYXD5SowmfpQk2/yXOVGA6oesEOVFlWapqVdROxiwfliQXX+e/nVP/8/UsgK98Bi2xvkrS9ws9liqyXPnz+naRqcc1w9e0JRFMznCxbLBevViugjQZN5bYwxGdwak/uQyJCoXSnc/av/ovfd7dd2WH/qGXNFyXyx5MnjD3HO5ed0SHhRFNFcVplEGqX+pZQdtLvumm+6102AfG8qQF4H//DSBIiI/E7gzwCPgX8H+Hu6dar6oYjMgb8bmAiQCRMmTJgwYcKEbxEvo3zYK894mAYz0j7s/3ZOBEH/rd8v/UdUQDpyoz/SLT3ofvgPBMMQcHQkRtfX4Zyki1a7pIHR7PdtVWG6czvcrlt++Hm/D+l8Tu2bszyGTt6KQV3RB0mZVBg0CdpLLE61NBAA+0H/UarQmJw5EVcJoCalO2CHTY6sCG49nQMWRJVZtAhkDwlYfP77UOdo2xbrqr3d5ODeEDFgIr/hA8EVtIvzfnZ8lC+Ttpb+kMOgHEtqDro7UB/jxgZPidPn1xvDqvTqqW53zZKc4CEsUh9qATEW51Lg+0yVRQi9KWvq7t0+EyC4oqAqC3wIlD7wYFmwvDynmM3zWKXiIT57rJyVFb5uwXussYhzmHycGAXfeggRV80oZxXGFvimpW12nZwDVzrm53OcFexNzYfbFqpqnDU0jLIkAiKRLPm5GKkv6qYhhEBZlsQYcbOKH/7dP8nTp0/46q//OlV1Hy3OiL7l6dMn2edDkrltDP0YLRZLLu9dsFqtaep1fg7puamokc4PZJxCMn6XnXrHHW53aln3t1MuiUiqOiSGznOkcAV+u+bq5gpEULL5bq/jygTtoA+je+f1T48KSmD8Tn0t+B4kQF4X//AqCpB/Dvgm8LuAGfD3Hqz/r4G/61UOPmHChAkTJkyYMOFuSJ79P4VODn46VWRQWownqMcB0cGRGOXYjIL044PriDQYfz5ev68AGQLTMQmyf66nPh/19AXk0F3tnPYZub3Nfnk+n/3Z/wMqoIswR6d27Aeyr765ddZ6dMHKRcH5w3lfmnZ8/D0FhfTd7O+Zl0shIhmEdg1kMiydi2JdStPoUC2L/tgdoSEYlIjNs+ldtY/xWZ8khW7r0BHpcXsbd5xZ/nvbkYVo4+A/IdI/S2KEJFVQBHOyifG90N8Z0g1dUqUsHcyXM9yswpVlH/gbBWcdvm1AoFrMCHWLamAbGza+Zd4K86rCicUtKqrFGRFom5q2rbNKIRFqYi1uloibc1Vqv+VahyovaOd/k87TGOlLAzvrMnmX1rdtSwiB4H0uVWtyWV3DfLlks9ux/vAxZ2dzgm+ZzWaIpLK6Ivle0VTxBwKuMNQ1I58P2SNK9p+D4QG6y9ujJ8EOlt/mCdJd094HSJLpa7U8x3f9GClA+j+qyeOmY20OCBYlHL0VJnxieC38w6sQIL+PJDFZ5RycQ3wNePdVOzBhwoQJEyZMmDDhbpyaHz8KCE4xEXJcslQZgrxxW2MSoA+GJJXG7Csm9L2h79Hp2XdG24xnzg/kAEfbH5/jy5if9i0dER+30xV3VZMYtzU2Qh2JSkbnIcPfO2ZpkwXnOAg9PYMtIr2nR0dWzRYF1aLAjM9gdEjdO/fbKYcXcyEnCBYFMVnpMlZukMqczq3hvhZ0igtVJVp7S0i436fOHPVgXh+zd9FuZddG0gbh5P3/stuQ0mkMJgkqxPRkiDEmEzzC0r04dBJJxIkrSoJGSgdSWBTB54ooneohqhKDz34pBWKENkbkYkazDnCzZmYdYh1iLU1TJ5WFz8aiYrJ6A1xZpedUwbYt86phu2sJGkG7SiUwYuZyysu+UqdwDlVN5Ee3rQEV4fz8nI8eP0ZsgSA0jef+5TmLxRk+BK6unhNjxLctRGU2nwGkFBPjUK37d8uRb0/UrMzoVCnjS3iK0DhgGkfrb1PnCN17bCBFimqGrNfpupnk/tH1T/I4GSD25KaCxD59p68E85oVIC/IBPqtitfCP7wKATIDnt+x/uJVDz5hwoQJEyZMmDDhNBLxAKrmZNA2rm5BnqU8ph72Z8CHoL77QX2CMMnR+f4hxwHIyd6O2hqnz3QhbnesIfC4i8i4C3fts++5kYLdnnDIeSmnzBJfqR9jkkPGZ7dPtZxuW/M+g2fFYT+O0nu6v3n7OBKkdManR8foZRyjHp04xaPzPrrXRpKSLh1A8na5/YV1zK3mSjSavRwGWuPU/XIkhjnkJg73kf0iw0N/TylFxvfi4V5ysH5EF+VTTc2lcTAjNYj0Y3EK2rclpLQLV5QYAk6abiGBREaY7LuiWWEhgPeCEYPMKxob2LQNYdvw4CxdJ9+26UhZRSHGpEo9mt8VxmCsS0G8AWcMNnraGBPpIDH3VJPBbUcQ5uulBGJsMcZiRs+HtTaRWjHiW48RWFYVIhVlaTm/SAa5zXpD4VxSfQigIRM1QlFVLBYzrup1VoZEjJH8N5cejj5XKxoTpvv39f5zkp+AEZF4K/Gxd2ONCRKlLEvO713S1DWz2QwVk8ckDM+69nvmS53HFIXYVYO57d74hPC9SYC8Fv7hVQiQrwA/ccf6vxn4yx+nExMmTJgwYcKECRMGaM6N7+O744nOvN1+4HW0nv0gV3Nqy77cfLz3Xb+yh3X7BEJHlgydHL4fYqzQuHNC/vZeHBALHeGxN0SjD4fh8WEbt5Efp31JDvo7DiSPzvDgWKRZ9K4cqfZEzb6gQfpGlN/+k5/db0yEmNUI3RCrGY/pvp/K0TiNtjt90u54m3ygYcY9kR+bq6vc/ZjSMGw3I35K+zG4Kuwdrv9PXi/dvsfJPok26jvEaeJnLPg4JPdOn3IieQQy4Tga3b19TqZW3BL1JkIiq0dUiZruEM2eHxGIuf5qUiVEntcNUhnEFrQBdkEJTTIONTbmair71wAkmZyqEnybVBuaSKqBzBnMhlWGmq9dykpmUAZipdtR0jWP0aeKMlKw2+3SKBsoi5KLiyVVNUskzuhZUlXEpEpAagzNesV8vkgpNyEdJxmiBkD7VJz+Qd4fzRPjO7oGHH/e3/aQHNHRM5x8Qc4vLthttrRtQ1GW6Vqp6ckY6a7f6Pr2ChEbc4deH0ORhCevThZ3+34X47XwD69CgPwHwD8tIv8x8It5WXplifyjwN8K/EOv2oEJEyZMmDBhwoQJ+0gEiIUTgdiwzeinbZfq8hIpI8NuHbPSkRjHBMctvTv6no7RqT1OqRHGxxw+3xqHv2SaS7ftXtDah9qdyuKYALgNt5up3t63/jockEDH5zTSI0ha0Mnn+8ssXbWXE82MUlxMNyNthj7eJf1/EV5MRA3eDeSA/Scu78FQxJQuROxJt/4cBNSmNkR7um0YB5PaUVKALpq3Pzh9lKHazeje6WPm/fvuVGrW6XM8oqzS0hMbv7AiyV6LEclEZrevqhJDwOZnRYzBOkfjG35t/ZzQwBvVBRKE6/WOED2Lx1e889YDMCalRhmDGIdks1qNTepXCHTMh4jB2uTF4Qo7is9HDFvHrCqEbHoKifCQaInB43VQc6laVutrQvCIKzDW0jQtReFwziVFS1Z3aDCIM6jCYrFku93Qth5rHTH4NDp5+5DTgjpPkG6sBlJwTPrcMu4vID/Gnw95q5RuYzk7v2C9uqZuGlxR7BEOkeN2hv51VYpeM9XwXc5kfEy8Fv7hVQiQf4VUdua/BH45H/xfFZFHwNvAfwX83161AxMmTJgwYcKECROOoX3wJBynJpza/nR1ilOBXOftcepX9aukg5yq0NDNOg99St9Tu4elc/eDmxdVgbm1H7mt/XK3+yyCjoPiE7OpHycdZw8jsuXWTcYpOiPSo++h6qidgViJIth+J2VwO/2YXT26V0wmIm6BgKphMAMdVf3pPqsCASOCYse7JqIH05+3DjvTX70cuKedDk5OO43IiOTqx/BQGdJ9jEB+hjLJMiCvw3J6IMNw6BekSe3xkJAInLypRTE2G6p228eIj4GqLIlO8AGIBu8DV3XLDkWi0m4jbVC+eb3ijQcX2NJhjAVjEGsxtkikQSYueqLPCOIM1hms6d4futdZAYwYAuk9EIInhFymVgOigeAjYlKKiohQ11s22w2osigrFvMSEViv11RVReJgUhvBRGzhCCEgOc1ku9n25ENSf3RpIzH1M4akZsl+Q2PvnRFltnfziO4rO8Zvs1MVY0wn9tHj9Yhwdn4Ps9ngfcj+JSP1zOg9N5TrzefwLZCPE+7Ea+Ef7njT7UNVm9yBfwzYAjvgt5HK0vwx4A9p76IzYcKECRMmTJgw4VtBT36MyIS7ZjpPVTs5nH3OW5MCw70Whk/xlAz9+HjH/Tmctb1174N/adlthqcvjzHZcdvaYTxPGcH2236rZMiIvBj/2/f2OJJ4HHgVgIr04f0wWikNZszhnErpOfQ52R/LTt5/QERJRKRLd4kk34gImsvAjskLGe+faQjJao6uL/2JD30bDHXTZ+n+d3C/D6MyOtTomF37XXtD+zK0iSX5eYzKmybpDOyRH935dyqT4+dtT+nT3+ejjnaPTf8Q5H0MPbHVcYNt24IxGGcxxlLYgjeLc3QNN+9vuPlox/rJlni95a2zJVYE9TGNrzgwDmMMwbfUuyZzHN01G84qVWOJA7E2Htd8TVL8LgNHEhUfAt4nUqQnNUJAoyZViTOUZUFVVVRlSb2rabKKJBm6Dsk63ntEhKIs0nodp5KMjHN7L43hTt8b/71P2o9vn4q0p+o49X7qT/pg0ei7EeZnZ9x7cJkUML7J5JAnxECInqiR2KtI0mBHYlIvvUaka/Tq/76b8br4h1dRgKCqHvhX878JEyZMmDBhwoQJrxXaB8D9khfMSN+G46ovY7n5QA9of1Q52u9VcahuOArw+2VdoHJHcHLbMQ5Iokf3/2ofJ4/XicD1zZZ/69/90/w3f+aX+eCja5aLku//0lv8A3/f38yP/7VffKnj7q873G4U5bI3b3209eljSP+nE4ocCxTGSofD8bq12weESzcHqgftH6eJpP1Mt/VwZifIrpdLMzqhmhh/ONhA2C8DLQcx7XH7txnQjvs/xm3x0+3FTbX/z+f2VQcoEcFYC02LxpCMTcWM7ogUzJJNTCVGTDB8/vIMDYHH1xvWdYvRwOce3uPN+xdpuJ0FSW1ba9PRsocGOY1KVdAQCG3y+rA2ma0ST59jjImsCEHxPhCCT+cQAm3bYHKoaMyg6FGNeN+gOqd7W5SlY7v1ZOuQpEyJgaqaU9c7lmfnyW9EwIfQH5espogqRI39wHbKsaQcGt0L3amKZEXXmIA7rYDbR/c+ON4mJ2+lLTSlG73/3tcyMTN+njPZIrnyS0e+TCkwrwWvg394JQJkwoQJEyZMmDBhwqeMPuKTW3/gv1LaCsdB4qmqIx1uS0V5cbDx6jgMXA+PfUrl0ostunV75Ee3Dr75/hX/+3/o32a7bfgjf9tP8IXPPWS1rvmrX3mfDz66Ptn+bctuhwxRtnb9eFFb+/0k76q5je7yd0SAHjZ6sO/pXh2yGpoPMK7Sk/w8Tqkwjns6Pu7HI8ju3E0EjSkI3i+6kwblLpLjtmW33amKGaVGjdfEIeA9ub9BMUc0iZCqwGjeAmtTtRaSUoAI1qRlIlnNY8A6w/c9us+X3nxIq1BfP6cw4JwgNqW9pByOlKaS4vADIlGTmWmMiWxwBiTAKSJHFdTHpCzpzjhXpIlRiQGiHaq0qIZMfkTa1hN8i+CyASqUZUldN+nahEgMgdI5VquU+mKMUBQzVqtVGokYU5UdTLrWZDeZPdavK0U7XJ6xwqkncbtNTqid9t5RmhQuhwTwESSVFfZ1y3Z7jWrICqjR8z06smQi5/Xiu1vN8Z2EVyZAROQPAD8IPOTk/0fqP/9JdGzChAkTJkyYMOF7Gckc80SixAsCztuJCe0l7y/GUE3ksBLKXcd4VQ+PQ3PWTpZ/qs1T/Th1Ml3AZF2Ns3W/9J/+F/9jYgj8p//+382bb5yNjv/X5G1u8rI7u7x/nLuWjiebdWj4VPvjq9xlphyqFcZ1VG7t40spVw6VIGPSY3TUESkwqDQO1CfdRevTQ+4YvBPb3DnUJ+xAOnNYHX8fb7QnLTk50IN8Qw5XdP0cNZyD2sgQKEedEeN8ICC6FIwRbO6LmFRlBEmESIgQVYkobetT9ZPxBTWJ46jEEAuHMYCzqM1pQxqJUUA9MQZirjYjJpEjqdxt9hwpDAUFpj5BgAhpm5wi45wDLG2bSDERJcSAqgzVWSSNgbVCXe/Y7SqqUmnbOp1jVJrdjqosk9Ijl+01xrDbbpgvFiwWM549Y498MMZkj5REIvRJX3pMxgnD+2BPeTS6uFkMky7J+LJqYhONMb3x6j4JIvRpTLnfYmC9epauQ07XSuk92h+gW8bkBPHa8EnzDy9NgIjIbwf+BCnv5rb3lQITATJhwoQJEyZMmPAJYBTypk+3eH2MP59KbRnaOD1bftTukYLimJQ4tfzwuKcUHbe1+WpCgq5sagpaevGHDOoIZ3ZUxQqA//4X3+N/+gvf4J/5Y38Dn3s30rbP8D4ynxfH6oiXO/zoT3fM0azzWKWhXSwvR/sfNSsHRWRfOgXolnbHfEbvnyFH625r+dSGL1Ju9KQIHBMkB9ueamrQOx0cUEdrTndtnxC789zyzH3e8NhGNa3fUxXkNY2HyDzvr2iqkTpO1MA5w8XSIbqAwuEVYvBJfQB4UZrgMTE/F8aB60rBph655Ryxyb+EMXHZE0AWcWCNgaIYxs0VuGqGEyiDp74qkVHGU0cCdQoUEcHkkr3dP/Ue090vqsScyhNCxDlD4QrapqYsUrWY4Fuun18RfU0sbNo2BkKIFEVB3WyZzec4Z5PqJaswyOlvgzdL51eSyY9Retz+baUn/3YnOb5ujN49e74gOrQt/X07tscUbDHDutlwzwtAxCB9woygaPD9tXst6CUuH3Pf71K8Lv7hVRQg/wbwOeAfBv4M8OxVDjRhwoQJEyZMmDDh5bCXzrH/4VZS4TAtoPuxf2ymGm9NLenV5y+h3uiOfZfi47gfp/YdApEXodu+D52PouXTTf3sz30dgHffPufv+4f+C/7Uz3+dEJQvfv4e/8f/w0/wt/9tv+2W48GeX0YOvgc6KR047ssk9veXUTePo3uym8EwDLeM+3Eay6n+jqe8DUgcbXdQ+0BON3J8+MPj3ta/fNhO6TLe9rZ76VT6yuktT297uOx4gG9rbK9J6fbtHgBRiAdkFNDlq6hKGls9dOgZmq9KRwgKxg7pExIJKMYaVLWvNSMiqaRxVooAiDUdNQDQp9qkIjND4J+ogjg8FSIY26WtxGyEetxFDam4a+pLPhdNbREV0UjwAaxgfEpViSH1H1WInjgrMcbgfYMrLG0LMaR0kZB9RIrCgQaa3QbjKqyxqXQvOcVJFaKiUYhhn0QY+LNMSI2Me0+RHymFpiOkOlXH/vvytndUGuOIjNii+XzJ+eVbDCqpTHuYTBqJEGM6T427U3fCJ4fvYiLjW8Br4R9ehQD53cD/RVX/tU/iwBMmTJgwYcKECRNOY8jpZzQL+upKhZOkQxfEx5fz9nhRKsthKsypyip3kym3q0JOHUcOx+NAdHCq7V/5tZQK83/6536OL3zuIf/CP/V30raef+c//Dn+kX/qZ1ht7/O3/6Gf2BviIfQ8DpjQPIGct1LJioLxuY/C1zHFMzb1FDhO4zhBpHRf93QKh5sfbCxDmJy+jwgPHe04BNjj73Ky4duoqjGXMvZw6ExoU5h+257djHy/c4IZGuzSGhKH07U67JvKtw5nF/t1mmJXk7fXNA4xhj7Y7Sgo1TAQWppbUMWaAuss8/Kr/UjJvuTjAEr0nqbZEmLA9L3qqp0k2sMYk7vXnf9wBToFw+hqDZ9Uh6F6oQePEsMbGHEj5UMmTkLg6Ufv8+S9NpGiUWnblqZtCBE21ymtpU8/A7bbLV3KjKjy/NmHdBVcUjndlhhT6o8IXD39IBMkbbpixrDZriH6fKqCMZb5bMnZvfvpodojTOPBKQ5qEDggQUR6k1S0uz63v7vG/ildy/2WeZm1jrJajJ6j7gqBGHDO4ApHDMp2s3nBtfgW8V1e0eVj4rXwD69CgDwhlZyZMOG14ff+a7/3292FPfz8P/jz3+4uTJgwYcKE73X0v8xfjQS5ldzIRoe3/Z6+i9B4uWPth9R3V03hznWn0306aqGb4SV7CAzHHD6lMOf6OgUns8ryL/0Tf5CiKgH4a37oD/G//fv/ff74v/5f8Nf/+FsYI2j0xBD6AEkQvA+0Ic8CZ88H6yzWdt4OkRiyf8OsYr3e0AbNJo+pLz7kgFzAWsvybIkRSTaaWT5fliWt9/i2TZU3RHDO5sof0NQ1wQeMTSVIFaWpG2LwWGcweYxCjGw2u1S+NEYqk0uipkEkapp9t9axWJxRVBUA27rm6tkVGlpEItmagahKVVVpdh+SJwKKaDKtCG6GuCoPvCQVSK4VmgL/CG2LDy3eRzQG2rbFihBCixIxQPCBkO/P88sLlsuL/F0oioJqXlG4Amttui7BoyHw3nvv0/pANZtjraHzY+hIB1c4ymLGdrthNpsTo6dudhQupWsYEUL0FK7IBIVQzWYAXFy+wcXlwz6gHv7RH2MM5wqsq9hu1mnsREdPrgGxmVCQ5Pkx3Nz5fjMDQdaJjsTss099X4b9+vtVE3mV/Ecccx5RFMVeGoeIUJUFBtjsNnumqtaANYD6IeUkJgprVlqSw0liAFUDaEQwWRHRpeJk75TYErwSO1WGKk4M2KLvi3OO84sL3njrLaxLoeldqrF03gdqprSya3K4Ij1P1aW/jN9vw/tJx0oeVTSP0fzsgvn5ZSrdO/onRIwVlmdL5vM5za7hww8+PO7TJ4gXcl2/NfFa+IdXIUD+I+CPAP/6J92JCRMmTJgwYcKECQOOq7Ls16IYUkdu3+/Wdjthyan900a3tvtyVV9SCHI6/WV0XrL//YWtyuG+0EsxDhQgnS9lzIFijqv463/8HW5uPsLtZplCEX7id7zDn/qzX+Uv/6Wv8LnPXKR2YpuEAyYRHtfXW+omy/OzZKMsHGVZUPsWYxyxTYF2VTne/+ApQQ3OukQ4kEuNxpBm/mPkwYN7zOezRH6EBiNQzuY4V3J9c4MYhysd1hbMqgIjSus9m9UaayzzswWC5ll5mM0KJPo+ULq5XnP9fIWPMHORwighRrxXjChF4bBFQTlf8ujNtzECH334hKdPr7DSUtiYCbMU/FZliWR/hmQKKRCU6CrKizcoShBjmJUVddNQt7ncaVZhxHpL3TSoKr711NtEStW1BwLzylHXNSEqZWFYni9p6gZUU1lZZymMpaqqZFApQqEF69UN2+0OxGB9zAqdRFYFVTQo52dnVFXFZrNhu9kQYgRJVUgiQ0pYjE0iqIxFRukoQ+DN6O++yqe7v51zPHj0NuVsthe1Diol6Z/fPSXOCU+Uw+d8ZInR9yJE2G1rYoxYV3B2dp78OySRRs+excxYyd6O82rGu+9+ltXqXlZuxJ4E6R6gscpkL9Ukxr3nW/PZaE88MSK/oG0ibeMRYyicoygr+reQEeazgiKTIkdeHf04dIa9ypCScgdkID/GiUS3QTlsVjBiMc6l4Yhx1LeIMYqV9IxrESnKqbjqa8Br4R9e5Ur9k8D/U0T+BPB/Bb4KfepaD1X92ifTtQkTJkyYMGHChO9tvEpZ1ldRbnSy/71lRoZZ6JcgUm4nQ3Rk/XDYjh4Fdbf195RHSd/KQTpMCriE/c0iGiM+BB4+WADw4P4i+Qw4TSaQCJf3knJhvQtYV9G2NWCx1qWKEe2WqqrYNamcpzUpgJVsGCmmSOaRhVKVBetNjY/KYl7x4MElhbW4qqRtA9v1msYHPnr8jJv1mrIqkBi7JAzatsEVJcvlgqhJyYFGWu9x1hIxuKJEiMS2pShLqmoORELw1LsWQVkuZ8znc66vt6ldFQRPGwzGFTx6621mszIpC4wQIrQxcPV8TVSwWXEgImAUq7E3wiSTaEYEipL5w3epnKNu6qQ6EKGwjhiT0SdCVrhESis0vrt2yVSTLBbxMdL6tNxIIonI91mMER9S2sR6vSb4BmsF1PDkydNEVuU0ja6Uq2TyCisEItc317StT2SHkUTKmEToWCt03pvzs3NibKnrbbqLYsxXZ/9+P3X/GwHrHMvzc6rZDA1hP5DvUos0jW0cx+WHFi2an1MZh+86+pSW+tYTdQMinJ+d5YouibhCFLEBAxjtuTusghQFFxeXzOdLfGizQeug2hnybPoT7omNmFPpVIdx0Y517PqZCZSokc26Yb2qKUvLvcvL/pRjjBgVZvMCV5q+5O4hEnk0pFENhNTxe2Gc6tNxrMM1OH7vjEsII0PSVtfHxN9pf99LTO2IpP2MpPeOM8dtf6L43lSAvBb+4VUIkBb4S8A/DvzhO7azr9KBCRMmTJgwYcKECadxm1npyygnbpeQ940dzzifaGfsYyFiepPBY3LjkIDYb/EuTuU2suM0EXPQ7+48ZJyckGZrowZi9Py2Lz3k/wN89PgG7z1FmWe3UR4/TUqE82VJUVYszi4AsMahRDbrK5Qt1m7xXnoVjRiT/A5IKS3GgfcNq9UGZwsu7p2B1mgQHI4Q1sytZzmfc7Op2G1r2sZTWMWQ4i/vPQoUZYlzltUq9c37AJo8GgiBEJNfhZgWjdCGiPeeuom89eg+MdS0XlFbYUiqhhCBouTdz7zDYlbh24aiLDHWEWNgt21TKVUjtFEw0SI2DGM8Ut2k0q2G5dk9nIG6rtPy0LLZRtrWY41BNBK9IlawziHG4EObCYeISGRWGYIHMhHUHSdkwqMjuc7PzzHWENqWtmkxsxmuLJnNF9ysd4CQbDVy8BojnVDl+dXzrE5Ioa3GiLUGHzQRBSpYl67rbrvN+3uKwvX+FmPcSv7lgFglVUpRa/dJBNn/MA7LD3UKhxqwIaLfOyDWWM7PbVplkmrF2ZRb44NPvEou6Wpy20YkqUISV4KNLikcRiqOfKJDhxjIBT34fjgu47/pc0FZJhIyBMU4i7MO3zS0bcvZxQJr6ZU94zZ6klOPx70rX3u6Gsx4lBjULYfrDt+Ro21Ggpt0TbTbZ78NI7nc8evE96YHyGvhH16FAPmXgX8E+EXg55iqwEyYMGHChAkTJrw27AUCnWRe5QQp0AWNL1ZQDN4Dkn/Ma/8LvytF2Rkedtt3wUMiGgb1hh60fXjs43K44/DuWAlyWMXmtmWpiY6U6aQmo0BNY5+zH6MSQuB3//hnmM8cf+a/+zp/xx/6UZrdDlV4crXlz/35b/LOm2d8/rMPODu/h3OuD0C997hiQdvWFNYQAimQNEkJ0WbvDtVIBOrWE4JSVAUX5/dAPKFpWJyd09QbjCuxzlE4x03YEILHmUQqxWyHWdc1F/cusc5QlI6mjXgfaduQqnJoSAQC3ew/+AjbuuXe+RJQYiSVGiXiQ6QqK4IUnJ3NuXexTN/jnO1ux66u8b7Fx5bzi3OePn2GGJMDUtDsiZEIlyTMQIUQUzlTY4T5bE5Tbwk+4I0S2pYQlYDQNIHZogIMMXiq2Yz6+Y6uGlHwyQPFCJSF7ZUETVMz19jfaOvVmrPzJednZ8jFvUw2GNraA09BBGtMH8CLKkVhc+Ac8T7d98vlnMVizmKxIEZltbphdXNDU7eUVYFGTwgeQQjGoCSD0L37bYTBKyb99ze/kYxCOx/OkxTeSy88hePnP0bpn0ohpfd0m1mX/UOMJAsSTZVfRFPpW+dcX8L1FMHQP38jAqJLA9knRQ7KBvf7pvdWaxtiSGSSRk/jt4mMKSDEFiflaChehuA9NRYHIzV+D0lH4h6n5vXnmP+zT3p0BOU4NSemQkE5Fehl+/ytQPTF2/wWxGvhH16FAPnfAX9CVf+OT+LAEyZMmDBhwoQJE16M/ZK4g/S7V2MgWb19+w/w8Y/9RDt0xVeljyHG+5s8Uz7MeA7KExGO9j3V39sImFM7jdcfVpE5nRozWibaEyJjSX6MikpKn1guKv43f+SH+Tf/o7/IP/Uv/yy///d9H3Xj+ZM/+xV8iPy9f/R3Us2SL4gPnuAD9W6TUi/aFlEoq4I2REwelBACeTBofUQE6jbiAUekmlWcn7+BMalU5sXlA4yxRITy2Q2QCARVSaVF80x20zZEjZQ2pbdsdytuVttU5UQUQyRExRjP2bxATDZpbVusK+iC0lnlmFUFTd3gY8SVFQ8uL5jPK4qiSukqzvLhB4/Z7Xb4EDGuwCB0tVHSmEJ3xRMfkcdfDLPFknsXlyCCxgXb3Y71dovakMmXlNoSY8RKMl8l+kyq5BQIEcQKIXT+HTklxqe0HmtcGtu6TmMZktdFjAFjLav1TTL2FZvSmwSsaDYBFUJQokaiBi7P7zNfzimcw1qLdXB5ecn5+RkfffARTduyWFQYb4gxUNc1TdPuJZ7sI6dsqOk/i0QQ0xuYHtzp7Gs9hsUdAam97uBlI17B2K7tDsfleU0mMLVL3TCmD/yttbeqJ/aW9ykuo+899zisG5MlAPP5oie8hqoxYeQfIkfvjTE5cbwspaDsd+24/2NyRvaW6a37icrR0J9se2+5EGJ7tM0niu9NAuS18A+vQoAsgD/5SR58woQJEyZMmDBhwu3of/D3/xkminvDQe0MR8fBQ7fDaVLkNqpkT3HBuK3DPW5p9y7fkVvW3TaDevf3jgTiIDjtorFxgJPO4X/1N32RBw/O+U//y7/Kf/An/iJG4Lf9wCP+wb/v9/Dbf+A+bdtw9fwJ0QfmyyVRI8Ennw2NzV4QZHoSJqlAYttSzSpiNgxtW0/bNIk2EMPTjx5jLJyd3yO2HgmRqiiJEQKCweAkqUiSaWTDfD4HYL3eUNc1MQSqyjFbnnH1fAUkcub8fE4MEWNMInHUA57kG1r0XicglGWFMRZjDVEVax2zWcXNaoVahzWJ2NAY9lKdDtUMisG4BWW1YDabJT8LVcpyRsQQ2zb5e3TpFDEZcYYYIKe2jG0ZjBgi2ViTHCCHluhb3Cx5nqgqdV1nRccWJaTrHyMX52fM5wtc6ah3W3ybgtGm9fhWaXyLc46qKlkuFgiJAIgaCXhiVC7vP+D9974JwKyasd1tctezOegeGZevf1YhVDPHPYSvrbf9Pdht+/M/85/y3/43/9mJOz/fS8byj/6f/03Gd/JpvCgC3k/dOMR21/IkJOIpfOMm7TF6p9yW1XMXsTAuRXy0le7tkBeNFSNdidvhme0O9WPvzHO/9snQ/bMbJ6jsv7vu7HPfZPcOOVbU7L1VutSpvs3YPxtdu6qje33CJ4nXwj+8CgHyC8CPftIdmDBhwoQJEyZMmHA3BrVFF3gf/kjvSpOOf+DflprygmOJMMxmn5J4HG57Wqlx3Oa4D7d5m5z+fnSMjgQafRGyEEQ7S9GRcaUYyvmCn/zd5/yNP/l9WGuJqnivbHfJ88H7pDYwViiKiqqaQUxpE22z6+ObIZ2nM0+MyQskm6YmFUlktV6zPFtys9vS1iuq2Rzftlw/v+ZmtaKrMtJV140aKWYLbFGy3Www1nJzs6Ztah49uODi4hxnYb1ruVltabMXRllYqqqgsjOMdVhT0Lae7c0GHzJJlgmb1WrDbldzee+Ctm1Zb7bMZ3POlmdcb7ZoyPJ+UYzNBFPYJ6nS6Sc1QQiB7bamKIs8sw/WGGxR4NsWZ5TFLJc2jb4vhyrGgBhcWaKhQTUpQVJ1DcEVBeIKfBTOyqT28K0nxkjTNIhJ5YZFhfsPLpnNF1hjab3n6ZMP2cZUTretk7YmhoitLK7I18gYjIAGSV4vDkKo0w0VI2q6Cijk9JfxQzOoPbp7r6osVWVZaNvLpjoC8Xf8+E/y1jufyeOX7loFPvzm1/n5/+Y/54d+9HdxdlaO2u81EQxbD3f7y2AgquiVPOP2RLrne7zX6fZPEwTjZcPDOFaNISMiQoZjp3FV+kLFo20kr7/Tu2ikTBovv82PZJ9E6QjRUVWc0bYqiS1V6frcVQjqQuZOuUKfAqMaUlPxNUs0vjc9QF4L//AqBMg/CvxJEflTqvr/+qQ7MmHChAkTJkyYMOF2pB/up6Xxg0qjU4Ic7/8iBcZLLR8pLu7a77bUlVMeH7dhaEMO0m064qH71m0/7Nd96ZNlFIxJjo/J7iDN2rZti5CVAN5z/9EDjLPstjUihqooiDESfM1wNNP7ShAV7wPGlrkqjE3mmj7y7NlzLs6XOGsxxqEIu92Gj548oW0DMbbsiEisMIUBK9TrG1QsIab+rLc1D+5f8H1f/GxOU4ict4Htrub99z4kxkDbepbLBd5HdtsNTdOAQpvL7tLfD8piscCaVB61KAp8iBSuoHpwry/nWziHeo9GiDKUMpWoyUeiuw9iS73bULc7lotzRAyr9SqVOXUOb0zyTzCWVkERjClQjYhxGBsoqgX1NoBGyiKlurhqhi1KxJbcbGsuLrI5JhBiImicsRgxhKxi0RgIaCJGqhltXRObBpNJJs0lYo0x1M0Oa2wyKSVFss65NG4iRLJSJQfnMRzP7J/yAukHBmhCpPGp5PHZm5/h/K3PHt7d/Nqv/tsA/Mj/4qdYt4fH6L6/ajrMbdA9AuRq67vF+2zJ6V1P9mus+9jTgNzB1+wRIDF59XRtzpxh5k4ZKe+/O2Cf/Bi/b/Y8Sw726dJsxqk/4+0UxXQkgyrZLSlV6hml7vT3hUo6h5g8Ql67Scdrbv47FK+Ff3gVAuSPAzfAfyIi3wB+neMyNKqqv/9lGxSRz5JcXX8C+J3AEvhpVf3Zl9j3nwX+mROrPlDVt1+2DxMmTJgwYcKECd/J6Az8gKMf7uO/eYtu7ei79AFwauN45vSliIiD1Pi7PANehVTptj8kTno/kLHh6Z6xwikJ/KmDHvYhBdStD4QQCSFSuGSWudlsqWYzvPekMrrJDyQEjzGpykiXLqBdAKRQVSVGhMIZqsoSI1xdr7DffJ+33nyTxcV9Wt/Stimt44MPPmC73eEKR1VaFrMZ9y7OuXxwzsXFnLI6Y7PZwmrDYlayXq+oZjNiCMSovPHggudPn7HZBLwPNI1HjLBebbBWWC7PiFFZb+tcWjSpK2azist756kdVd59+xFtXXN9s2FeFVkxkma921YpSkYz+8nMUlEkKq3fEVW5OLtgPl9gjcEVFmss2+2aXR78bd1SVFUSVxgLahGnYD3B18Q2UFYzqrMlYhJZFFE225qmrtnUO86Xc6xzhKZJ1yxGmiYk49n6Q+7fP2c2T+k9rixSNRsEVzggEmLJ/fuXNE1L4QytelrTYkxSsSRViIAIu902GdNKrnZzS+SpKD/yww/2lrVfT8UorrY7rrY+q1o6tZDpb9m2rfnlv/ALnF8+4If/uh9PQfnxrZqOPPLOSCqJWziLUzd/1JFyjD5t7sOr1YkGumaOnU4Ecpnc0KsoQIlBU6nmTNJozCWGMXSeH2Ky94gm2sTalIIFSYlhrUVRLueOmbN5+V1ltvc73hmRHpKrR94hewTqflvSvUq6zUaHToRqV8449mSJdGM18hd5rfjeJED+OJ8w/wCvRoB8H2nouzq7n3+VA92CHwD+KPA/Af81d5e3uQ1/AFiNvjefQL8mTJgwYcKECRO+7ehnNvP3w6oF+9vGI4Jh7A+SrE1TEPLiAGPAng/JHesPP78sbtt/nO5y14y7SFd9Yq/RvT6nQLY756TgaHIFlaJ0aRZXHE3T4lyR0lhaT1vv+vx+Y6BwhqiJTMAYrHPMjaOazyEqYgxV4bAqXK9qPnr8lM16zec+/xnuXdxjNp/x3jct8+WCq/WGtmnxIVV3aduWzWaLcyX3H7zBYj5ndbMi+MBHHzzm4aM3uL5+jm8blmfn3Ls4Y7ur0ZDaKG3J8mxJWbrk87FL5VDrTkGgcHOz4uIimZUaYzAo292OGDzWCE+fPEOD7xUXMUY0JhNXNQZnADVoFMBTlCVn9y4RoNntmFUVTevZbjfE4IkhqS9iSIFwWydvDuMKikohBhYXBYrQtIotQAg57SSmfRpPnEtOMUppMCFAJLDdtVRtpG4bzpcLHrxxSVVVzBdn1HUqfSsIVVVhncVhKcuyn8lv21SGtSiSV0pKzJA+VUfJFX8OcKqc6vFGStO2rNc7hNgH/Yjw5T/3Z6l3W37X7/v9uYRwJicGg58+0E5xdzYLFRIR1/nf7Km9pG8/PxlDPzUZwWocVYzqUjbMyNNGhqCerNToWJvYkwBk0UbEh+zXsk+NDn3Rrkupv9ZYjFGCT6ora4thXLq+nyAyTkEkGR2/9DunU20dUU37xxt/FhEkl0HuK+WkhnoiuTP4FY7vkwnfMl4H//DyBIiqfvGTOOAB/rSqvgkgIn+Ej0eA/DlVvfokOzVhwoQJnyS+/C/+zLe7C0f44X/yb/52d2HChAkviT4//QXbjVUU42Xjvy8S0x+WhnwR+fGyuC0tpl+fDpiDvIPjawo6+rSX0Uxu/0dvC5RSYBe8z7FVRCTL2IOndCVFVbDZ7ogYmtYziymtIgXfW3zTkGaJLef3lmiMtE3SNzQepKiSSkWgrhusBVsI8+WM7XrH/YcPuDg74/FHH/AbX/0mz25WNE3IQakSrQFjqNsWAX7jq19nPi+pZiU+eC4fPGSxnGOIzOZVIgcUtusdVpQ2pJl3axOBk8r0JoPJpHBoCaFlNj/n2fVzHj64YLersdZCDPiQ1CPbbU1dN4gmIkdjIIRuTFNwZ4wlqCIaKV0yHA3e4+uaervlqm1Zrda09RahG2fYbVpsUYBErClRyUG3MbnKSg7ArYGYPDucTX6pm92Oz37hczz76Alx5LMQfKRudogTCrGEUPPko48w1uFsSndpc7UZ7z1t3VJVZVIgdOVtKbJvis1KnxT82+zlkrivgUBK915Ecsni42B6hKgE7/nspQU1lK7ovSX+s1/8s4gIf8sf+GkeXjrMKG2k/5jJm4HQSP8RMWnsFLyvcUVBVPrUjr3nJz87HZGyXxUlfTbjwN+YVFGnSxPJaSoikoisPJ4hBGIem1Rlp6viQ35WUpWqnsOU5LlSzZLXSdsmJU81K/lwd/sQjjG827r3XOQ27uN01Zb0DHf38qA8Mye3F+nKPg+lmFVHZI/SE2lp+ykF5pPGa+IfXkkB8olDOx3WhAkTJkyYMGHChCO8airJXevGi/d/8A8VZG5TkJxKsnlV3DlTeyKOPKkAkeNdTvZn5AECSrPd0DZbFueXiDWE0CJEQmgImxYRQ/QtPqb0irapiUQ0BqIKRXFGOV9gC4f3LWWVUjLq3Zbnz68JGIxz7OqG5WKOqlJVFRIFX9f8mT/18zx+8oyg4FM922ygmNIsnBhmlSWEyHq14dd/7Tf4gR/8fpo6cHX1jLOzGauba5wrca5gu9l2g0QInvVmRTWv2Gx8X/EkBgVNI+eswUgkemW93rHIFWZa36agPyquKCirGaGpMaJ4jTm9ASTPdIfo6RknsaxunrNdrWibmqtnV9Stp26SymNemiGdQqFtajSCLVM/jAjeR+pdjRhDWVX4NnlTxBgprUDwrK5veH71nPN751w/e0qMio+e1XpFWVacL+ZUpQNSH71vqGnwbWCzbQjqMWJYrdcYkwNhhM6G0+QSsFdXV4gMXhExaiZJuhty+DAkPZxIWsmBcCRCJlOImggKAx++/x6//it/ld/2wz/CGw8fJTXHSGWSFEegmD59ZP95kD79out7vw30SgWgrwDUp8z0HhnpmhuTiYq8ToxBxYx8MQTTkSaS0niiDlVQumo6RgRjJJFFo1QfMjFjrMHmNn3bphLSKF0lmLteDScJ2azo6q2A9HifU+l00rc3vA/TOt3bLrfep8N046aM37P0aT6JuH3NCpDvTRPU14JvKwHyCeHLIvIm8CHw/wb+SVX98NvcpwkTJkyYMGHChE8UL1JRvMz+h211Com8tCdCbj/OrZTDSx33JPp+HC4+ofoYfZZb+rJnnNr3OWA0YqxL/h4aCD4SRrL+EDQpMZoaawaJfVFWVOUcMZbteoVva6JGytkSYy1l4Xj27DmbVgk+slikoG+92bLbrPn6V7/KdrtNhpyZiFIlm3gGQgysdlt8KDibVzgjfPD+U+bzBUU156OPnvDGG/dpmpoYwIeUWmGcI1W8EeomqUeqWcl6vaWWFu9bxDc8vFxydnaGdQ4fIm1bsyEpRtp6h7E2V8WB2fklu82KdnODolhj06x/vidiTF4oghCDojS8/943KauSpm3xTYOGpCDwbTaLxAxBqoIGj+SgMWjE2ET8NHVDUZh+xt3gsCalyTz96CNmn/0MiOCKkufXK5xz3LtY4uwQoCaflkReOGdZzCp2wWAUCmfxPlAUJSJCaLPSQaBpa66vr1MZ4HQTDVWV+hsyf9HxM3N019KRC+P8q0QQGMQa/oef+zkA/oaf+mmssQPJ0SuUhgozR6RlHkiFvesCSvRZMWK6fY/7OCYQxOSgPafYdUTImOjpGIbYzVmLICqIyWl1+T4WI8nvxCTKyNDdL6mqT1EkosZ7T8gpMwJojCgR0f00mDHpcegRND4X7dRhcHL93rn3RFJ3nRJ824II1g7jnK5BOkFRiCPiaO960HmzmNdOgLxugcn3Em4lQETkZ0hX+Q+qqs/fX4RXNiH5FvAV4J8AfpHk+/F7gT8G/H4R+QlVfXa4g4hcvaDNe590JydMmDBhwoQJE14Vp37InyIlTpqGnsB4m7EU/jacbCcHX/2s6y39fll1Sk+0IP3k5ph8GWa8BxXBIAoZFfeUoXTm6fPSXPK2pa53xJhixF3TQq7kAlkJEA31rub+vUvqdktKn2nZaVJTtE2NCmgUdpsVwXvaNhAi7GqPtYYYIvN5yXVbc3P1nLauccb2VJMq+EwSRBVsDnRbH7nZ7rh/tiAEzze++U3e/eznMdbx7Oqaygnr9SbP+sPz1YY2m5mezea8cXnGvfuXvP/eN7m6qSmM4eziDOdsJn1y4IsQvce3LWJsTp1paENSLAhQnd1DQ6TdXmOkSwsRysJhJKsMJMfK6oneUBYwmy9Zr7b44Gl9RDWZiY4ZrBCykSYpeHauIITkxRFjUh84ST4fRpLj4epmjW8aZosl1zcrVOHy/j1c6TD5XomhJcRsrhmT8kKdIK0SRZDCEUIytC3LAlc4NPdnt9tlw9SUWtGlgRhjiDl9JHX/5YLccYwtOW1FBEKM/Hc//3Msl2f8rp/463riYHgmhvLTnYEoQAip2ojL194YIeBzeg7Z20MQ15GY+WJj6QiT/mnoBfid10lWp4y36xQPMXmHDCsS2WHzMdXErJhJ5xdDoKMfEbDWYp3FiNC0SRlkRQgYyAoZGaXljHHXOyNvAUQkp59pHuwxUXCYEtSdd/cOFAFrhK7Qz7C99soz7YmT4/fLWFHzcYnpl8b3AAHyafEPdylAOtMROfj+HQFV/XcPFv2MiPwC8CeBfwD4Fz79Xk2YMGHChAkTJnzy6EQS46DgrtnO4/2zTF4PKxbo6Ed/Z6wYuW0GuW9L5JVJkENlyeHnzmzyeN9RGdwuuumCb3JVkqyqGPaV0XbDLHYKsiOh9cQYEEkBaJqVNkRN3hh1W9PUW5y12aDUY4xlsTyjKMukWvAt69WK7fopzjmQFOC13sPac/3sOSEk80sRmzwQjKENgdoHonbBV0yBdlSaNrCpW5w17DYtzXbDozfu8+EHj3n7rTcx1lLXDettw9X1NlVViVDN5rz/0RU+Rmal4eHFjBiVGFratuHs7AxjHcZaiqJgt9ux226YLc/Z7HbsdjtiCHjfor5JBq9Fib18hPqGdvucwqZgOfRmuzk49zuKomB5fp+ziwvKas52s+a9b3yTm+t1LgucvCNMVg7M5jMChs0mETrOOVrvUR/6aju+DbhCCDEpRJ48ecqjt9/h+ZNnlFXBgwcPWC4XWWUC6+ubTK5EQtsiIlhjkjIlBsqixBbQ1DtsynXBh4CS+2dMVi4AKnl/+4rRz2l20NqUivKXfvF/5Ob6OT/9B/5WirLsFSfjuDpVLBlSNoDBkwT6NIzOF8cYg49JxRDzvWS6FJaxseoIHYmy/7yM1A2QS7zG4VliUFsgBmtdIkdyKk1RlMnQNYb+fWML2+8dY0xqCgJdiGmdfYXyFV0fx0oO6fvbn0F+F6CnL9zhe9O6guhTatfpd8/4q/Tt9mkxn1YKzPcGPhX+4VYC5NB05HWZkHySUNX/SkTeA37ylvWXd+2fFSKTCmTChAkTJkyY8B2DJLHeD/APSYaelDhQhByiD3dGBMogCVdU5VS8tEe8dIRCNzt9W59PVXE4VWnh1DGO+zz+Tdxt283PdmSM7u00bqZTrah6vA901SA6+bqSDExFhKKK2ctjQfBplj1GOL+4z3xe4mxKZQnWgEJde55cXeGsoygsrrA8+fAJdV0nwsG5pFDQpCoorSFoJGJofUopSTKB1B/feorK0UbPk6fP+OxnP4M1wm9+4z0ePXqINY6qgqDXSZlhLVEDuybyjQ+eURaWZelwBkQsb73zJovlcpQylMrDbjcbfOtZbzapLK73BN+AscR2h2iLuJJyeR8xFmnWxLBh8IygVwp47zk7v2BWzbFlRVmWVGXFar3BWst733yP9WqVqu2YdB1CNDlgt1SziqZtstEmBFV8iFhnsc4RVQnBs6trQlQQy2KxxLnkSSEBzs7PUYXr66d0So6eNyMRIQ8fPODmWcuu3lLXDVVVUbeRXU6D6FQpHXkym1VZefQqs/v7JIgxBmuTL8af/dM/C8Dv/amf3iMRu5SU0Q1PTzeocvX8Mc+eP+PZ02e4wvHWozdZrZ7w6NFnWCwuURLJYgwkiRIEX9OGlrJcYIwbnUNSXwypHv3hAPpqMQrJQ6RPPzHpeQBUBGMT+aYkoqRtG3pPDFUQJQYIMeCsTZk5RiDEXLoWgvcklcqJUezTrmJfyjn3kE7FMRpxtL/Ddbwwj+/4fXkQT+8tl6N1XepRZyY7tJd70/nkvGYByPcCPi3+4U4PEBH5NeAfVtX/7HUc/DUha6omTJgwYcKECRO+SyGRVLHgltUv+Wt7j1S4I3Ulb80QBBySDSeOmRiZWxUfp/pyirQ52fYhjuKScR9178/R534f0OiztD+VtuwqZ8TYKTVSoHq2WFDNSra7NeubNeVsSVkWqTpMVsmIsYi1zBdz7M0alYARQ71r2O12lEWBs0I1K7leb1DNxpgxUTeFtXSFV+s2Enz6+drGSKkRQdnsap4+fcZnPvs2N6sN292Oy3uXbJqW4JOCBVUWs5IQIrVXmqDEXcuDs4p7985ZLs+yzwSopuvlbMHy7ILr62uun1/jnKNwSe1iTIDgUQM2NoTNU/ANQsjVQYTWQ9s0iXyQwLmds91u2e62LM/OccZy9ewxxpWcnS949NabNPUOxKT9vE/GrFaIIV2H2WxGXdcpXYecNoJgnUOB5dmS+axCs+FsSlVJN7WRdIF9Vi+l0q5dOtIcTCK5xFpmZ+dsbp5TVhW2qPC7VR/aSlZPlM4mEsRarDODmkCGqh+33aanvBqiwvXVFX/5L/4SX/i+7+dzX/wimJSCIoAGz/PHSUm0uLhAY2S33VAUJU+ePeGX/uIvsN2tqVvlwf2HLGaOr3/jL3Gz+oAf/ZG/CeiquSir9TO+9vUv8+GHX+P8/D4/8tt/kvnsXh+8d4RQZ3IyLpcbc9pLai+nAOXnA+i/m6w2gZz6ktPMkFw5JcSUXRYTiRWT5CQ/byY/f+l4L8L+s557LJDKWXfqrwPSQ4YvYwJ2SP85XHabmq4zWh3eMbq3r6by169Mkr0abruvXnbf75gUjpfAp8E/vMgE9YvA2es6+CcNEflbgLeAX/h292XChAkTJkyYMOFjQ/scjzxTfDt5cBf2CYaxMej+NtpXGLilTZHRqtE86wnlyfi4r4qT+41mxPtPh+ev7PVDD37ypxjIIOJA23w6Q3AjJGNHU5S4cpYrwbTsNlua1lPOlKiBuk5VQZw11Lsd6+0W3yalgRFh13ja7Zr7ZzMuz+YplaPxVKVDjeVm16SSvArnZzPuzWZ88PSap35Hnb0mYkyVYURS6dGPHj/mC198h4cPLlhv2xR8Bp/SHICisJTOUS4Lnt/ssEWJhrA3eOPrbozBFYb5Ys5qtcIVFSFGLIa2bSgcKSSODRodEBLBQFIBRDWE2BJIJIUPymbb8CgH1EYEWziq2YwYDc44ZrM5s/mMugm4wlBWjhBNOo6GHCg7ZiJsVisgqUoEw9nFAo2RajZns93icynW1c0NRmCxXBJDAGMx1nC2PGO1viH6kEu4pmEIraepa3bbLSEqVTXDh1TpRjCgAQ2RaEwa/xwsl9Wsv/skm87e6nXDcbDZBdi/8HN/ihgjf+NP//5emWI0VYARZ7h3/2FSAxlDS816e81v/OW/QhtqHr1xnzce/BhlteTexSW2KLh//02222ueP3/KYn6P7WbLR4+/wq/9xl9gs6353Gd+kN/2gz9OWSyzImosicoPhSQSIsQw9Df3TUWIMZMUeTw6M9SBcJB8X3QmtAZUEvmUS8aGEFIlHLJxK13al0DsqKdeqnEkpeg9OQ5UH4d+HHK4rDOaYax4G+iAtOnd79FOHXfKW2ivMgy3vLs+KSTZzcff97sLX+Q18w/f9iowIvJ35I9/Xf77UyLyBrBW1f8ib/OzwE/p8P/OiMgvAv8O8FeAFvgbgH8M+FXgX/90ej9hwoQJEyZMmPDJI0nTRykko1nOF3pznCIlxuZ+J8kBel+Asbx7mEndox++9RN8SbzI1HVYwGEGzD46ub+YnLaRqm30aQiSiAchzdZvNjeItux2DZqrmDy7umKzWuGs46133uLZ1TPqXYN1RTaRTGaVhXN8/xce8uD+fdq2oa5rttuaum65bD3PVht21vCD7zzibD7nbFax+9p77HzAk4J2RTHWoFF5dvWcXe25d3nGg+UF9XbH2dmS813LrDScL+eItWy2LVFJZUslBaGaPRy8AhoxCJvNDkUpXMFisaBuPNfXNzTthrIweN9gjE0BbwxITGamKUXEEtVgHRhT0LYt0FIUDmcdlw/vJ+WSwIMHb2BMMu1c3dwwny9Y7a6xtkyqAC+UlSXELUjyuSisQRZzVutrIpZI5DwTVVU14/HTZ0mhURQURZGTn4TNZpOUMMtlrlJjcKVDxdOstyzOUjy12+0I3lMUBfP5nMdPngCajF2NSaoSYJvTgoqyYLE8G8Xn+4qlk6a7ons3YIwKqvzBP/SH+YN/+I8gIrTeU1iHiM0z+4Irij6F5PEH7/FL//MvsNk9ZXl+xhe+8Ht4680v0rYt9XYD2y3LxQVVMQcUDS2rqyu2q5rLi8/yYz/6/Ty4/5l8zXI6UF+9JnUuqTYiMXQpHNKPXYfQKz8s0af0pD5xR+jfK9ZaQvAptQUZTFVzRZ8QIzara3zvoXHwoOrhe+m272Pl134jwlAVZ/w+OE1Y6eEhj6CdquVAFbLft8GP5bXiu4/I+I7Ft50AAf6Tg+//bP77GyQG6Db8MvD3A+8CBfB14N8E/nlVvfpEezhhwoQJEyZMmPApY8/w9Jb1r/Sje0R0DBgColNKjmHXLsP+9n7cZnD6sngVRUvu1KCS4a4MmKQIsa5MBIEhBfQkDw8VMBZiFOi8QWIkBo8SMbZkNl9yvlywWywpnKWqKi4v7xOzear/6Alo8pUocmUMI4aqmuNcwXKxxBiHD4HyvQ/ZWEtlILQNDx9cUn3zQ5w1REhBY0ypBGKFug189PgZ9x89wjnHZh0pqoL7l0sILdbGTExoP0PfpS9ghNV6RV3vqKoZ8/kC1YC1DltYLu/fY73bEZ9HSgMGRbAocbiWQOsDdeuZVxUBi7EFUVIJX8WCsaxublieLaiblqZJHipVNaNta2L0PH32nPnyIpcR9pAJGmMEZ22uiGJwZUG8jkQVjHEggnUG6wq2mw0aA0XhOL+4QEjpGZf370NWG3jfMpvNkpJBJJFBxqQqQLsd1mTVBcmDwlpJhYBCTKky3TiqYkh8xuHk++1VlJSUiX+QUpHTeTTEVCbWGNRB8E2qYmPM3nP5zjtf4N79N9hsrqmKGVU1J6pinWO+XBK9T+lHGKwzRA08fOstzh88ZLPZcnn/EsTs3ROJ6EnEajpHiDGROoVzmL70s8mECdksNklCbFFioyeOPDyQ9FZIvGIqk9yJOJJCySQSzaRUp0DoU7e66308hIdpK90TPoxxp944RZLcnfJx2zsMcv3go9S88XsvjryD+rSUvOy1EyATPjG8DAHyUEQ+/7INqurXXqUDY1XHHdv8L08s+6OvcpwJEyZMmDBhwoTvNvQ/xDkts75NFXLaFLVrqW+dw4BgXyafjyrcSn6c7OtLpuq8tP/HAfo279jtYDSSFJ+ASolYh/q2H1ONig9K4yOlClVMW9d1A0ZwxlA4i3OGi3sXBN9y/fwaI4azszNuVivqpmG7bbDWUpQV613D/Rgo5kvwBgM4VzAT4bPvCu8bYb6csX6+xjnFKMwKR9QGn20sFMVZhw2Rr/3G1/jSl76EWzp2u5rGw67eJdPSlaYZehXAUBYFvvXMFgsWizllWTGfL1LAaQzzxaKvuNMqbLc1ojERQ505ZVC8KkWRVDIxplQRHz2tD7hZSQyRoiwQU4IY1us165sbAilQrOs6qWoERCxKMupEHRoCBsU5S1MrGMWKTQGxS1VhVAUNmlJUJBlwhtZTFCUitjfebOsaV1ZUZUkIDSA4Z3N524amDdR1i7XCdrfDmVTdRdEh06yb6QdEU7lZr4pxbj8j404PkEB2BR022dt3eIqMMYgmkqBTD9H1I++4mC2ZVQtCaJOKhKzQwmFLl31OJCstCkTAOfjGe7/C137T8/0/8DuYzc4YB/YBoEtlyQSitQ4xZtTXQRmxlyKmALazDhnMewHFY7DE/OyAIMZhJSK+OzWPakBjMj7tFWmax/WE59E+wdG9zw7TYbRfd7zPqXfkoXpnnMYTs6dId7wh5advf08Lpz0p8tolGt9bCpDXyj+8DAHyx/O/lzr+S7Y5YcKECRMmTJgw4RacTGMZLb/rM9yulBjQBS5p5el2jvPxX7bvXR8O+3SKEDlF4pzqz+2EydDfowoyo300BIw1UC7RcA2A6WxIJQWlwQfQpPxQlOgjrd/y0dNnFM4wqyoESZVaioLtZsvV1Ypnz1c03meTTuHJTcvbbxuuHz/h3vkZAU1Bt4AzhvvLM5rtigdvPuK9997jYllRNIa1s3y0SoapzjliCIjA1dUN3/zGN/nC932Jm02NDx15k847KTZSukkbAirw0fWK+XIORihdRfCeGAJt21JVM6JGNusNu9UGa5Rqfka9eU5ZpNl5ZSjzKTAqrRrQ0KAx4KoZNle52W43PHv2lLffeTeTHY7OcLZpm1RqVpWzi3tJDVCvUR+J60jThFTFxFnEuJQ6E9L1bNtIWTrW63VSJRQFPkTqXYP3dRoj79nFlLKT1B6eZ1fXPH78lCYqzhXM51UK2jURPdvdLpMrgkZFjFA6x7yqqOua1nuqqkwpSS806xwFwDpWWQ1VlbSrFmI6A1GfyuxCT0h16ocscEjeJkhWLdE/kunZ0pSm5Ju00KbrULcrrp7/Bqu/+IQf+9Hfx2LxANWYDVfj8LwZoasCE2LEdERnToXxwed90gnYrIYwxmZiZHj6VEwiPkbyCzECSVSDYPAxedr0/iPonSaoh2km6Tke1B9jRqBLe7nVI0SG+3lc+aavJjV65yUubGhrv4vH5ErMhsqvGx/XBPW7FH+c18g/vMzGPwf82qs0OmHChAkTJkyYMOHj45AUOPzt+7Kmo73G44gEGUVTDLO83ef9oODl+rtHNtwS2NzV5qukzWgOzPYCsduOK2CMw1ULIkIMbZrxVnKKgGb/j67sZkAMeB9o2kATAxFLc3mOEdhsttS7mu12iwKrdU1RlixzhRVrDbUafvXXfpNHF2es4jU+tLz59tspWPKewhp84XjvvW9yfb3ic++8yfX1DQFh5wMhj3/yKUmKil/7ta/y4M1HRBhMUgeRDmgKTpumpZpVxBh5enXNm1aINrC62bDbrYiq3Lt3iRHLarVGCCjQtE02B7W4wuDbpPZoWw/iKFyZKrighNBiKLC2QETwbUvdtIQIrfeob9GyoK5bFJgvlizPFzx9/CHLzZz52QVuvsTVDc6V+HqD9w3OGcqy4v79S66ePgNR6l2Nc47tLo134Qrm8xnb3RZCSzJR9RRFhRih3u1YrXe0rccHj/eaSZ8KJRJiwLoCtV2aUkVhHSF4nBOMFRaLGW3rk6IhhoF90BMpGwc3m57wjEBjesI6b5YcjCdlh+4Vgg3ZkyMpXDxF6fqgPGXXBJr1DU/e+zpPP/oAv9tQlZaHb72FWTzg3Te/D6eGq9VjfvM3v8znPv/XUBYLjlQSAmKGd0DsWZeU4hJVsycIIELs3EF0eJ3EGPsUGTE2VYBRkpIiJmIp+X8k8qOrMAMhfx4RB3riNdWt6sZ/f+neZ90jnvbWpKuQKzydIpW7UrvaPVc6rNv/O3QwkXtp2VGWzuvA9xYB8lr5h5chQP4NVf0PXlcHJkyYMGHChAkTJrwAeVZ4HOTfpqbotjF52vjIv0PGv6W7wKIzA01FMRH6YOCOTtH96r9NefFx8FLEzt7y28KmfmtsUeCkoA2B3abOHgea0weS9D1Eg80+GCEENrtAUVY8vH9BURQ8u7ri8uKCoiy4KC7YbrfcXK9ZLOfsmpaqTIGgM5aiLPAxcL3asr72uMLCW5LjPcGUjuX8EgWMNdx7cI/52YwYldWu4RtPrzsaqg+unl9f87WvfpVqcS8RNkZyEJnOQawwr2apnK8R6trz+PETlpVFxFA3NWVZgTFsNpukSAkeJfk67LY7DEIbIj4GJKtWGlLpYLElsakTYdQ0LJcV3jf4kEiSoqo4P7+grrdoCDRNjWI4v3eZSqCq0u62bFRp2wZXVEhZYWxKZxFjePToLbwPbFY3JJtOQ+tbWu+ZifDorUcsz86wYgi+5SybmwYfiBrx2y1Xz68xxvHGoze5fPiQ7XaHquJ9S+tbog+YZodxksrOzmZYa1ivG5o6pIo6ZSoLvLpZU7iDcGmkDNhXGeRgW7QPutN2naqARLyN7l8lpvQlIamN2haxYLGoRqzNxqwKISrN88e8/5Uv8xu//jWer7bUIbU/L5RHH7xHOV9w7/NforAFZXXOu+/+UHrCO/KEgRDQTFSkBK2sjFBQkidK1JSZElDEdAqQdPqJDNHeSwVy2WGjGGwiikQQKZD87nKuwJMURORz0qP30/GzfFsFlu4c9i/Mi947nVJE+88ppaZbZvrtksdJXq/DuI2Jmp707VmQCZ8QXiv/MKWrTJgwYcKECRMmfIehSx8Zyk2e2GZgKfq/hzObt+ya1h+u7VP6e93ILaqM/V/6r0JYvIrKY6/dMWtzkN1zYs9hn7yVoISwwwBl4fBe8a1PgYwBCUmqf36xoJrPQArm529QFA4xqTRr3XiePrvCGsFmU03vA288epOo8P6Hj1OQFwJ+m3JUqkXJw4f3oalTyU8FsS7tH1q6sZ7N57iqApTPvrVjtam5qesUoqmCpNnpr37167zzLizO5qiafupZrDCbVdy/f8FqvWa33bK5uUY08vijJ9y7vOTs/IKqmiWyx3u26y2X9+/z7NljPBEjBaqBpgmUhQVrQSIiAe8DRnKwHgIihsan0rXJyDRpGJ5dX3P/fEHhDMYWFNUcFJ48ecqTJ0+wNt1k282WedFAs6ETEcxnC9arFU1TJ3+RoqBuWwpXcf/BfR48eEC7W7FbPSMEKIoSNDKbVcQQqOstu90WjcriPBmFirFc6frEnwABAABJREFUXpwj1rDb1Ww2azabHXXjMa7JKRomeYy0LQB10yACbdtm89VT3hQvdQv3d2DsiQZGaWWKtTaNKYq1KSyLotn7RFMaSgwYET74lS/zzV/9Mk+vVuyC4qMQohIU2lrxMfLQwD2UD97/kOebZ1ws57z77vehRhAz6+8nSS6laIRAzORMDvQ1qTaUlPaUT4Ao6boruTSugLU2bZ9Tdfp/kp46MQZbVhgRQltjjCOE0Kf5xF5Z0z3NiQ55UcrRodpr3w9kGPlO6dJ9Vj2hztkjXwb0XdN9QmvYdl+V8uI0qW8RE8HyiWEiQCZMmDBhwoQJE74DsS9XPyAN+oBhxAeckHen5ZJngQ+PMP7xP7THqAzmsdJi/CvcjJaPAo6D/cbByl0GqbeTJLcHKf16OVx1wJJoxNfrNNftA6JQGEGco2kCzlmqxTnL8zPOlmcYa6iblNYxK2dgLDFEbFEAnrrJnhauYls33Lt/wWw+48njZ1xdr/DeI2JZifKDn3+bzZWn3tYYl/wtYoSmrqm3W5pd8rFwRYERw5vvvIlXw69+8zHPb25SyoQGgkLTBh4//oh3qncx1tI0HhFhaWc0bcM3fvPrtE1DaGrKqkRIKSRFVYLCbrslhkDUQDWbYwoLmma7NSYCIGia49cA4uYUhVA3W2LbJmNLU1DOl4hxyYMiNElhINDUDc+85+GjS5wVogaur2/46q/9evIRsRZfb5OKpDA4cUjhEOO4Wa2JMVJVBdVizrbe8cajN3nn3bdo6x03V0+om5aueo+1ke1mTdtseqWEMUJRFbjCEWMyspVYUi3nzOczisJROMdqvaFtPdZa2ralLBxoMrRsvadtG8qyZDar9u+jF3B3R7dhvq+HaiexV1ZZY5PCJw5VWmKMtNETY/IJWa22xBho3v8qH3zlr3Kzrlm1ifRIBW6TiiMobDy8c3ZOEyJn5w948Oic+WzDs8d/AeseofKAe/ffwFULwCAxYiSRP+P0FM1pYeN3jqIE7dJM0v0SNF3fVKUqb5vLJ6uS2kw8CyFENKdoKY4QA8bYgWAZj/FYlfZS3it7HPCgzDl4de2TGIfvl3yWuTx2ajMZAO+bbwxkiGaVTIyRMHmAfFdhIkAmTJgwYcKECRO+g3GqDG6S2u+XaHxhgNY3ckh83L68q7qQggvDcXi3H1ScLKH7kqqPWw1fT56XnKRuesMTGQdAKciUPKs9VOpQJMJiNkddSbk4Y3F2BjGrQxSqssTkIM6VLs+Kp9SiNsBsXrLb1UiMOAvvvvsWs/mMb773ISEGdq1QNzs2uw0Yw9nFGQp4X9Nsdmw3O+ptjYhJRIeAVAs+80M/hHv4Fn/1l3+Fx0+fogRCiFhXUO92PL96xmJ5xnbXMJ/PUpDZNDS7ba4uAr5tCcFjJJlZ+uDxbdv7XsyXS7abNcQ2B7udT0OgbiJGFAeIWwA7gk9VbWaVS4GzejQGevPL4PEaiCI8vy4w3FA3Lc+e3WCMUFUVIXhAiSHdVzGG5L/gKkL0rDcbNhvFGcsXv/8HuTibc/X0CT4EbG5DcpSbVAyOGFoKazCFy94wjhiHMbhuGs4AVxYURcGDy/vMZzPWqzVt8NT1jhiSn0yMSY3gnKMsivxEDGlIp0rc9kG6ptQPGfGEneKi8/ww0RCJKfBXsM7lz5oyVAz4OlXciRppQ2D97COKmyfMyoLlLBFhTzc1bUy0g4+kij2VpVjO2DWeau54dr3hw4+ec75ccLZsEfucoJGHb3wGYx0qBrH5mRbpK82I9IuSD0jua28euveMgor25rIAKi4RCQZiDPiQCBOTPTgsBdHGUw81HYWkvSpkH+MUv/H4D2TxiCgdNSHZM2ifYOmu51Dadh9xz2soxgNSRSSnJ2lKgXndeHHh1E8cIvJZ4B8HfgL4ncAS+GlV/dmX2PefBf6ZE6s+UNW3P7levjpeRID8NPDlT6MjEyZMmDBhwoQJEwYc/rgnB2KSc/FH85YM2fnHBMK4bKx2/zv5e10Gs8X8vUuJGWKek7RDv/yuKjXdOY1xihw5qmAz6m+36tZQoBsCHY6ZyJDkiRJj6I0MoypGIyKRajFDRdiuV4DibAk2zdKHEIgKDx68wc3VM7wP1G3EFmVWHViaNiBtZDZ3fP7zn+PNN9/ky7/8K9TbDb/8G+8R25bffu8eV8+eYY2kEq3bHW1WmYQQkcJglxcU5Zy2DbzxqMS5kj//S7/E9oOPCCFQZPWAb31SdhQFQmS9uqF0Fptq2RIQNCSfkxhTtZe33/kM2/UNH773Nd5693P99Y4xpSsYYxNRZAwhRCIgpqHdtfimBWMQbTCdiWyMaPC0dUNROJCA90pZzthuNtTbG8RWFFVF9C0xBqwVNBp82yCk9InWtxTGYqwh+OQdcfnwDTRGrp89RoCysBTOElQwkmbdRcC5iuCFJngkRKxNip5KhF29o20ajBHapgYNhKalKAoK67i8d4/1epPJpZBSL2LytZgvllRlQYz+4GbLaiNR0H2FQse9jY09pbtnld781ORUtaARQgSbiIUYI00bUvqJJoPUECLBK599913e+cw7fO3Xfh3/3mPMsuDxqgYMWEGicnmxRIF6V3N24VkuhVlxyW4tzCrFSk27tdTbNbP5GRhFje1Jxo7D6NPvYkRHniViTFZsJKWExkxURMnnoP1Ji5HkBYIS+mdOUsqMCEU+3+Py2ncTCXel2B0ZpY5FY7lPKc1vKAs8/tf3YPROSmPB8L48IGNVyGVwb+/bJ4ZvjwLkB4A/CvxPwH8N/OGP0cYfAFaj780Ltn/t/MOdBIiq/qnXefAJEyZMmDBhwoQJxziajdQcePW/vvMP/pEu+kD0cLrdo0/DD/3h2AMJcpgzP66QMG5nHCR0AcSLvEFuCxj2SBGhn/nsSJyXxdC+YBCiAYnJdDSEVPXBGIOrZpTljPXqJs94G2IRcVKhNk2FGwyL2Zxw1vL48UeIdZxfLFlvdlgrtG2NtZIrwwgXFxe8+85bfO1rX2dVB5wr+J9/5es8LAzzZcXZ+SIpQYzDlMKuDjx4+xHiXKqiguJ9wBWOH/uxH8GYv8I3fvMbBN+y80I5C7hS8buaGpjPKmZFkat3pMuiuSQsCLv1Gmct11fPeP70CbaYUc3PUxUPU2DEEn3Tl2ONkIxR60SgiHUYA6Hdsm01kQOaZs5DCLjCIGoxonjfULdt8nuI4NsdzhqKskRjxBaCaQNIKlcLyXTTWoMaQ+Ecb731Fs+efkTrA8vlnBCSX0vwCkUia5J/huDmCzRGQlMTFS7uXSBG8G1S6KTqPi27bY21FpE50VhUhRg9Gj3G2l7l4azDOEvr26xsOCT6hhSNfMPmNZkcOBJSCV1lpRgiWMGI0LQtYgKFFkiM1D6VC+4Od3OzYrOtqcqS5fkM64S33lnj25bf/OCKqrDUTSTElLZUzWfs6hbnLKt1xJgZxlqet2t2dcscS6sN2/UVZVkilIyZRcnKJmMEkUAICkSstcN5SvqbjIO1J1VjjH1bXQpKADSmdBqNEXEWZ2z2i4k9caBR03Om2o/UXbgrLaZ/Dw2ClH7sO4+kcRnc29rvjmH663qqD4p0aUCfhgLk24M/rapvAojIH+HjESB/TlWvXnbjT4N/mFJgJkyYMGHChAkTvgMxqCbsQEh0+ecMAdfhPoknOZGOEjna/vhY+ShqRp/p150iP7SXlZ9IX+HVZ0YP9xuMWV+C/ziRKN/Fo06EYC1oBJKpqCKgKcnBt9sk3zeW2CpBBWdtSg8AVtsNKsJ8eYbNJEpZOIzRZCSJwYfA9c2auvVEkkGnD56iKtmq8EGMzLaBh6YhYFh+5guYqNx7923KxZK6TgagYgQRpaxmLBZLfuSHf5j1asXNTZ5IzUoF33oMJqXAaMBgCN4Toyf6FAy3raGpt/jQ4ooSEcNiea8PFK01RJ8qc3QSm8GXIs+C25wIogCGpk1lTIvCgBhCUKxNHhw+ROo2YAzJ58EYnLNZfZMIJmMdiAUjFEWFMS6XXTVE4KPHH1Bv15SFI4aYfC58wBZVMta0DusKBMFag3MFzOa5nKklRk9VVpnoAogEm4L0drdDjKEsZ4S2IQRPVVW9GWpRFGkMlFxtR3tDTGT0uYeSem0BQUapCt0z1CWriaQqO7FNJFf0AY1p+9Z7QuyIkpCPn8rnRk1Ki6KY4UrHtm2wYlEibVSW53MwhrpNxIJuLU+v1qh62iYwX5RodNjCMpvXbNbPWZwllQ3G9NVpjJHBAUiVGCJBEmEjxmDymPTpMuSxMPsqjJhYEKJ2qjIZvUcE40rMIcdLekVJ/y2NxW3cwqFqI/09fifuq9AUOfWOGG3TkYAvhAJRMZFeZfY68e3wAFH9FMxNvg14ySs8YcKECRMmTJgw4dPC/iznLSkrI2Kgnze9TSWhg7R9SKDZV2hI9oFIn7UP3oY+wX7jx+28+FxO41Axcvt+J2Zj9z6d7o8xyX/AWIM16Z8RyaaZyejSAL5pegNHI0LhCqwYINL6hmpWUVYlm80WVxQslksWixllkUiI5PeQtg3eU5YlF8sF86rgbFmhxlBjeNJAbeecXdzjCz/0g8wu7uFDSmupqhLnHM4lk8ztbkdVVfzAD/5ATuOJyUQyj1lVWkKMXF+vASVGT/CJjEiz7JHQbql3u0xACFVVUrhUrrd0MCvL3Haa/Y46monP5xVCSrZKJIOk0r6kMYy5lEsiNlJFHesKnHOJoDEGQShsgbMuVY8xliITD6nfIXmV+JbnV09p65qmVba7FmsLbFFhTYExRTKlzWkwxtpkQRIjzhUUZUHhSkQsRVHgioIYSelBpJSFqipT0G6E1iePFAEKa/vKJmJyKde9ZLP951I0ZtXCwT032iyZZWrv6bHZ1NS1J0aIIaWIxExEzOczBNjtGtrWp38hZnIo3Y8XsxlfeHTBo4s595YzCmt4cP+MuqnRWFOULdfXK25urnnzrYovfumC2dxys9qhMdI0LaubK2JoOY5vk1KiS9dJ18Mng1TNlWGM7L0bjDE4m1KTzOgZjV0aTyZCurSz7rl21iWFzcETq6P3yqvH/B01fOKdpMN7dKzykIPv3bYDkXzY/j7kDpLmE4V+zH/ffnxZRIKIvCci/3cRefPb3aFJATJhwoQJEyZMmPAdjU71kQODkdS8m83s1RIMNMCgwsj/xBz/0B/tOz4WdATEYQAwrBvahnEIM1ZsHLd7THLs+ZScxOn+7QtgdPTn+Fd/MT9DNaAasjw+ERzWOqrZHB9TINs2LbaYYa1J0v8ceDprmFWzNCOfgyPnHIv5nNA2OdhQRFJ1DYnKrm7Q6Lm4d8ZqW1M4R1UFWh9oQsC0HlTZbXa0BoJGzs6WSXHS1hhjCKFht90RYuD+/Usu793jow8/IoZIjBFrDUXlWK93aGjZ1buhLwZElbIwWIlsVs9Bk8fEdr3m3uU9nDE4Z7AIYip2ux2g2MJhENpsBtv9E+MQQkof0cHHQVFMrmpixPRqERGLLVI1DWPsoK4wYGxB28asskjpSd5HnDWYrOwQA21QqtkFm90WU5RJ9TLKyoghYJyhcEUfZIcYMDYpT1QVHzbMXEloA62PREyvomnaFtntWM7nKFCUBcEHmrZNbdqD+2yU4yLEHGfasf5pUGppF1ynyiiN94gYjEmVU0K+V8rCZRLJIM5SVAXbukaMoY7K0+c3GL+lJDIvZ3zmwQNW2x2l2TCfWWZnMzZ1w7ufKxCzSoYeZpbSmHwiPuq6Qcwldd0AjuBbinKWiI0ofbCfqp/sP6NdKpD6gCnsyJ+IbHAqiBHUKIQceWfJmKqBw3dMJybq/DhGT3HiVvbTi14Ge4qQE2o07VJx+veW9kSHHLQz9lnqlFInyYT+2r5+puFbVIDcE5GruzZQ1ctv6QjH+ArwTwC/SPL9+L3AHwN+v4j8hKo++4SP99KYCJAJEyZMmDBhwoTvUJwmBaTzYOwxLpU78jAdiAXJ89TGoOHOI+6lvAyKitGMaQ6SjqF5OzkiQQayZj8w2dv7VhJk2G/cgup+e8PmxyqQoprjrFBvbmjbXZqqjrn+g4AGDzGgGmmbgF3YfnYahdIVlM4RUayxzKqKs9mMwjqer2/ymAgSEpEiaK5OIux2Dc4adm0AEQqXSq4ulkvKWUnb7LCzGYv5HOtKQvRYW1A4RaSmLMuUGuMD77zzNk+ePKEL8YrCMCsKdqZGo8nqjM5s02CMYiXN0m9Xz3FFhWqk3q4AQ9SINZamaUCVwll2tadpY1K1ZHWFRvAhpAtgTUpxIJEN1ghnyzOK7F8SQ5sUAwY0hGQUGQ3GDkofax1iYD4vaZs2EQXGYsqBdLLG5Kyc7t5O5YNBKIztrUY71QgiOGOR4BEE51yfdmKMpShnxCjYSK8QcM7hioL5fMHZxTlPHn+USBWgrht8G6iqiiH6HUo/G42DUgBPEIiE/hZUhhQYSIamMcbsryIp7QjQ1uNcgQ+RNjT5GqYUn7KI1PUOEyPXz65ZzivuX15SFSXaPGE3n2EKy3UbWVzMqUNDWxuerxsicHXdEkPEyAxjqlHZ2aSC0hAJJmKdGciKPGa9MoJcxja07OrnfO29LzObVzx68AUulm8BQlQPoaVu1hTFRVJ3qNKOnmklpfWoZHKRkD1gjp/2F+Fly+MOFXqGdJouZa87t14oMW5TcunwXglCT+gcHqUnb37r+oB8LKjqv3uw6GdE5BeAPwn8A8C/8On3KmEiQCZMmDBhwoQJE77D8EJFRFdrU/cyYdijCI6MU7WXvI9z3vf9P8bbd9uM97k73WXYp4sXxucxVoncrvo4ZaIKeRZ3/3QYh0vj9IRT+hPjSsRYEIMRpY4RotLutrTNFs1lL7sxq+tUZQXVvlxoCiaFs7MzirKgaWrqetefcCKZhBhaDEpU2DUNVVmwWJbUVw1FUeKs5Z133ma5WGAMFK7EFmWfDiFGcIWjKIqcdmBY3dzw4MFDzs/P0zkaKJ1NpEP0lG4YZxEh+BZXOqJGfDS0zS57Ygi7epOqw1w/BwJt27BrImXpEAEfFFdI9u5IKgcJmhQL3bhr8rawWflR18mENGhKLenGvSgKrHOgYHPqiiF5SRSVTT4rkImXQHefhqgYA9V8Tt20+Zw81lmMtakKjWovyhAd3d9Ify2ttThXUNcNIQZms1lvqCsiPLj/AFHwPrDdNYSnVyllx6TnLMQAWekxnJWi2UcGUXSstOLYNkGBEDV7sqS20rgqbQi4skjEVJMIAZP7Z4zh4bzk0ikPvvRFnLGJiNhskajM5hXPgvLk6gqzNvhvtizPDd4bPnh/xZsPL9i2GxbzFnzB/5+9P4+2JcnO+7DfjsjMc86d3lT1qrqq55FoAASaAESJogiCEilZEmGSokyTFDRZy5a0tCTLJmlrkZRAarRFLv9ha2lJli1LpMXFRcokRYKSSAHEIE4AgW6AABoN9FTd1TW9etMdzjmZGRHbf0REDme4972q97qrWfn1qnfPzZMZGRkZmX33F9/+dus9pTEpPagCUUQ9Rsr09ETiw6aUMUQQVerVBWVV8PJrv8Brd77Aeu147eQLfPC938Gzt97Ll1/7DCHcx7uS69e/lVs334sUsYxwSPMlhL5cbPB+8IwPnts8nt0Y7n4/DH92xw4NmoevwY4c7lU53ftTtDv9ZgluTcTxZoM6OgmpdPTXwSrj7fErD5+CwuOxoap/VUReBf6Bb2Q/9hIgIvIb3kqDqvrjb707EyZMmDBhwoQJE3qCIhEJDEIB6bdva8cHO22lm+Qd95XB3YWBnCQHlTv7uZvM2GVkmvffh602OyHGsC9X9Hqj/bY+J7gG7xpCUJwXFIN3nuX5KUJI5o7QOE+pinrPer3uSAjnPPW6Zr6YU5aG4FvOTx8QnIvjJAUaFGMlBntE1YSIULcerR0aPALcvHWTa9eOUQ1U1Qxji1jJxDus7dMCQgisliuqquLg8JCmbXnm2Vvcu3OXbAC6rlvQkIws43UXRRkTUzQqcrwP1E0g+NNIJDQNp/ff4Pz+HdCYSqMEEGhahwvRK8SIgIlKERKpEZKPiLUmlqZN3h3WlogqxnisLTDWUlUV88UM70L04ygMTRONPSVAYWP52+A9jTEoUWViywprC4pqRlEt8EospQvM5rNo3ImiPhJOAwHUzrkwqyqWq0gAlWVMrXGtoygK6rqmXq2ZLeaIWJqmpSwsRVlENUgigLqbMkq3SvcJkEusFUUEzWkVAtYWtD4SRm3bcn62ZH4wi4QDsFqucG2LkcCRtJy98jLXbr+HYCx+dU59/xzvlboQTpdrHpyfYqvY19vPP898XtDUgeOjEx684rEIt24dxPQg72I1GtL9DdFkVmwkqZpmxZ03v8SD0wtuHT1HYSvunH6FQODB6UPUGw4XFYQVIp4vv/RzvPL65ylN4OLC0bav8vGPfzcf+ei3dSoYTcxlCIEg0TvFGEklf3ul1YCm2P9wD95741Lh/Tsz3/fhPlnVISNSY0xs7DRWTe/L7n2U99tQkvw9Wgb3aSDp77bx9eIfLlOA/CiPN9R5OtrH6cCECRMmTJgwYcKEfYh/Wm3m5MefQ6u/LiLY+cd4rm4Qtwd2/4m36w/4MWkxrqiw0dNLU1j69oYKj2GQstnO5rkuO/eou12qTb+fb9d4V6MKdePwgbiCj6FuPLMqnd9I/C4FZVmibwxgLbNZibUx+G/WK5qmIQQfSQ8f/TIkEIPzoHgXECv4tkUwsTSs99y4fh0lUM1mIDHtw/m4j4jpfAXKqsJai3MtRTIVfe72c5w/PO3SRIL3ncFnTD1RbFI8VDaZ2YaoXqnXNSKGtnW89KUvMS+F0kaTUiOG4GOKTtM6VAPBp6ofZG1AVIEgwmxWcrCYc7FcxVV+iYaXRVkmo8zowVEVJU1oo/mstczmhqZpsKZAfUCKmFLjnYvKFzHMF4dUszlt2+JdJCqcz6lBJUaEIIItsuJDyYalOUgtiug3EoJnXde0bYPk9AsFNAbkPhFYxlqKqqRtYjqNNbZTQQTdJB3jHAtCUn/YPvDeeLaG0zU+g9G4FdXoR6ISvUFqi/c+KXB8p554Yw1HdsGJgKtr6genuMZFkm2+4Py1+7GMsJLGuOLVr53SNjWn5yvatiXMY4lk1/o4RsZk+40414JDbEFdL/mFz/4Er975Mi++9+McnHwURbBnFg2B97/wnViBtrmgqgoODq5T6BHrpXLv3puU5pxbz17nmZs3eenLn8X7Fq/KBz7wrWTVUAja8Q7Be8CmQUrPeRZm5Gd5xDflZ3v73TBUZujGuGfz5yHBkj1Mtl4hiYSKBGDslwiobPsnDe7yUydAvhFVYJ40ROS3AM8Bf2vPLj/K14F/uIwA+Rcep6EJEyZMmDBhwoQJTxr96ujI0wP61cjuc9pxD7Gwjdjo5j7jYCLvN+jLldsHe2gKHjrDkkGQMlq1vbxs7lsLLvqx01S6s66jwiKv6itR2FBYA1qANoNKFRJ9L4jVY1rvmZWRhEA9db2C4CN54ZTVusYWc5xqLEsbAs55SiyemM5hrOXo6Ij5fJECeZu6KDRNw6yqUO3Hv7AxDaZpG9q2xRjDjZs3ODo5QiQZjxqJJUUVMDHINtZSFAVNW3NYxFK+3kfiJ4SA8Q4Vj2qJmSczTgM+xAC8tDCblQQfq7NkGGsp0i30LlA3DVVVIaZPdTA2VtjxyaQ1rpDHVJICGwNcSNcTr985B0YQH9sR4nXMZrO0Ah8JEmvLQSqWdOOXia/s8aAoxoeYwgN473EucHgY/TxEojFnLs0bgnJ2ek7TOmyqWBM0JB8VM4imI3moRKZLM9k2FoUM1FbxGO8T0aDRCyUa8UgqJxv3895FI9SgycclXqMrSszhzTiXbAGUCI6VX3HuAkENt67dwmlLXTeU5YLZfMVq3XJ6tuLmtUMo4M6du7znPe9hbkqOjk+wJlYPChrThyR46vUFr7/xFaSA6yc38GkuFnJE7e/S+iU3bn2A87MK36xBK154zwf4yIc+Qt2suXv3Ddp6zS/+4l9nVd8lYKiqa8xnB1y//jyzskI0VsTBSypxvCd27YZ2dzw8Vn9sHpvusWaSRKMvi0a9jnQihG1VW2o8vT0iMbhJqJLSZ7q32uh+/70FEfmd6eP3pJ/fKyLPABeq+t+nfX4U+F7tX/SIyKeB/xr4HNACvw74fcDngf9kz+m+LvzDXgJEVf+rr0cHJkyYMGHChAkTJmwjkwf9hh1EQP598Mc4bFMSu8rM5kbz3/+7FBZbfRh9v//Yq0mUsSpks+1Nj5DLPVGGqhjtVpM3JezeRcNOF2IIBAbvHVURjT5zWkAuAwvEtBSiH8fFxQV1UXD95BjU4Z1DValdoK6jUkSMj8oB6FQD3nlMUWJt/LP71jO3OvPNkLwDfBtLjWZbRg19hY2yKqOPh3NRQTGrODo+Yr1ax/1DSEIFEyunJJlCUVas25q69cxmuQJQJFtCGn7nHHUby7HmVIVYBUSwpsD7hsJavCre++6+2SIGhXXrmc8KUKFtGkwRK7igYK2hqqLJaQiKBkdZFnHM6gbnPbNyvpVioonEC+leiolz1xjbGbz2hGAkSlTBiKZVeiIxYiRTfHjvCd53BInzLs0XOD+/wKXqLGIMWDtIJ9LE7GyrC/pKL0pya92Y13TnyN4k3sc0J2Msznk0hJQ+ZLq5kNsVI5S2oLSG6mhBffc1ZtcPsIuS9Rt3ebhe8bqLVX1OTo44PTfM5ymwN4HZbMa8mqWUKqWWBiOWw4NDbt263StmOjWERjZQonGuNUK7WvG1l17GHjgeNq+yfrhE1FKVB7x+78vceO451BjapmVWzXnP8+/D+YavvfEF2vvnNK1JqhMoixkMFBUx5WwzEyKToplRukpRNn7X9O8cyTcpksQiSSXUSUu2mhq2IV3bdARzLA0cUp83CiJf8X76Jsef2fj9B9PPl4APXnLcLwH/KvACUAJfBf4L4N9V1Qe7Dvh68Q+TCeqECRMmTJgwYcI7DH3pRuik4QM/jLxP3q7RBTJ+vcE1XFZqtpP1b7Q3/H0XQdFv309Q9L+H0TH9+fLnABv+CcPz7CJmrgo2Nhd1xRiKomC5qgkIQS1VNaf1K5wPrNqo2AghgIWgASUqJzR48DFQbduW8+WSwkBTO1ST30cKfoOPqofWpxIzweNFWcwOsWVJWZbcuHEjlmcN0UQ0hEDb1hizeV1RCiFisEXRlb1VheOTY+rlEkKgdS7K9YsY3IXgkRCrfBS2YF2vsTZWtSmKita5pH6I6Re1OoxNigpjQCymUFxSsEBOAQmg0Q9EfAzQJcRSuYJgUrCORLNTr4GL5QprLNZGVQpkTw1BI9+U4lFBNeC9x5iovCk1qkYkED0/7Jj82LzXIcT/oroilvJVoGlqVhfnqJguDagzdtWA89F4tigtxliC94Sk1jHGdJ4sWycezknxqR9hsG+eq5F0iukfUQXig9I635FkKJ3BbiwpHJ/Xsigoigqxhur2TdzylNVqyZv1kvpwxtFiRjUvknlq4OatIy6WK7yzGJSyNJxfrCjLisX8gMViwfve/yHKssK5VOIYAz6AVWblnKOD29w7e532vKFd1Dz34gu89NW/S1EYQhN46aVf5sMf+g4kFJw/uEuYn1AYw6xqAE/d1MzKG1y/VjFbXGe2WHDtxgtE8+E0NiGmHGmQEZUwJFzjE7WDUE3vxExEbT/7mZgVNCltRs8U+TtAAmhf8nb4QsykkBA9b3xKx8nv5Zyds20i/ZTwDRKYDFUdl+zzG3ds+91PpUNPAJeZoL7/rTSoql95692ZMGHChAkTJkyYkCE5YNggP4boCY6UQpIC580DNlUZXTyxg/jYl4aSV7KH5Mc+9O305pzjYOHyv+gfdUV1W8I+yPTXOBZlWVIvl1hb4H1KPTDRa6EsCkor1KtA4zzWKCGJHfKYee8oRLBFSXCOZb3GOYdX8D4HSjFI9z6OUdBYzUWIKRjGWp577jnms3lK/QhR2dE2ONem8ri5ski+OEBjAFbYIvZbPIcHR7weXqVpoxdESCqEwhQYKaLaISlDrK1ompbZ3GDLksY5vAscHM7xTY0LHkNSWGigaWp8sCyXNc77SK6Y6E0SQqAsCwoTV8ONtTFFoowpN2KisakqGDUYOya2vI+kynK5TgRDr+oQHM55iqJgva4pq1k6dxwMH4AQlSg2kRO9wWZW/Phu7HzwrOsVF+dneNdQzA7jvQyhm8sh3X+poreIDxoJHYHSWmZl2VW06ebb3nlrYjCdlAedZkRJnhuaSlDHoLvvd0CDEDM2MiMSpQc+BEwQWg2staBetqyqBfWzJ6yahtVFTVkYqspysW65++aK2aLk1VfOUfUcHR0gqpSFcu3kOt/yyU9yeHCU1DxRZRPVOYoPK84fnHL75H2czG6Bq3juhRdYrZbU+oDDUihLofYPqBYVzz7/oTgvy5LZfIFvax7ev8PDh3d45bUv8+DslFXdcHJ9wfvf/xEOZrd5/tkXKG3RqWa896Bl1j3145VTUzbI2f4exGdcJJr8bpsz9wIQOuIiphUlzcu2so1N/UmaJ5GFHO+rvXImpswFQniKDEgiXN7qsd8s+HrxD5cpQL7MWxuyyQR1woQJEyZMmDDhiUH7f/VqomJ4DPRmo10u/EbevOwgSzZXuy81Hh1gm2TplSwxDYeuD7l/W9epY/Jjn1HqvnMOmso7owizRUXrwNXKYlHgnMMIlAUE73hwXrOqPSfFHOc8rjWUVUFRFNHoVCyhdQTf4IOj9YG2DZ2UvygsNi2mi4kRmPeBwhqapubZ28/xzK2Y/pK76J2L6RiDlWehJ6d86Mu6hhCwRYH3jrZtgehNsqgMFnCqtK4mEDAYiqIkeI/zjqo0NHUN4ogCEGGxOOK0rglBE8mgOO+pW6X1SmEF7wLGGKoqds8nlQIGrCliyd907UVpIzlSFEk5Eq9juYpkx4yYerRe17TOMSsKEJLXhjCMM1UV56LniVVLURicdwTvYvnfsmK2WFAkY9/ky4pI9B9BPa5tWV4sWV5cdClgPrhuqEMIWGO4eetWrCyDcvrwFNfG1CZjbDdf8w3RfIc68jAF69sPwmh+hpRWkfsYktLBSJ/6Ikn9kT1TojeJxztQI7hywey9H2ZuDK//wk+zurjDnfvnGIGT4wWv33lIURjKZUlVFVSzBWen5xTWcnAw44UXblNVFT70KV6nD89YLc8xRcFiPmN+cMAnnv+OVBUovgPmixmz8iavvfESB0cl63bJav0mH3zhk9FQVmC9WvHzv/DTLFevcfuZF7h+MmN+YHl4aliuW77ypZf48IfnKC9E5VGI5JN3HjXb7xYdjPew+kqHALFc7vZxQ2+h7p0xJBTpCZZIXG58OfitO+WmomyjP7tSBZ84vomIjLeBL/N14B8uI0D+6FvswIQJEyZMmDBhwoQnil2EwRX7Kzt02Uo2cozVRnREOPQEhYyC0Z58uFr1sXnMeFu/Yj8mb0IXT2TVyPj3bdJj85yja8xxT5apYwhYjDiqIiBFgUfxztM2BmMDxoDzgdY7jGtZpUosB4czCFExoN5FkiBV4YBkdtq2VJWhsIK1Mbgy1hJ8oPGB42sHvPd9L8aqL8SgPwSNwXaK3k0qyyFi0njklImoQLGFxXvHxWpF0zY0zlE0NZFriWqPoCFWo8FSFgWqnqqULq0klkEFY0rOL1a0TUtZFhgTTT81BDRAYQRrQIpYNcWIIahHMdStEtRjbKDUXC5WaFofK7uYqCho25amjaoaJJYDNsB61XQkxMVyyWw+B5TgQp4JYIQmkTxorHbjQ4ur17h6RTWb0bqGsiyxpkwr5JoUSnG8nHNcnJ/jWocYQzWX5L2RUj+SwuLiYsVyuYx98KGbW23bYo3GEsU5WO4MWHMJFdsHS+IjcdFLCPIXSbmT/EwQJERz1Y7eSoRMJKLS/EnlfV0IlMaSHWJC27BeN6xWLYt5xcXFmrPzmuOjOaaMKRttbWnbmuOTBbPZjGsnR7TNmtde/Qo3b71AmarqrNcrnnvPewjpwYwpUKTKNtGkVLB86tv/fl5++Rm+8tpnsVgqgarsibz5bMGzz97mc1/4PPfufQ1beJyr+eQnvo2j4w+wagwHiyNU4/3NxEb2eRmO1ehJHrw7Mk+S01J0oKIZjXb3vkhfJaNa7Xxa6L8na9ny3EnfESsfZTZyKFgbEsgSp2dKW3rKGoB3R1T+deEfLjNB/cGnffIJEyZMmDBhwoQJ+xD/NI8rw/2WqGgYIwcFY8IjyswV062Aqw4rGvSKjL4dun0fq6c79t/tOZJXSsekxqOcb3ufy0mhTgKv8PBsjXOeReFpnEJwqQRqi/eCEYmpBGXRNRtCoGlbyrXBNTVVWRBUWS3XaDLMDCHK+AVS9ZB4zQGltKB4irLiE5/4BAcHBwMCiER8kAxHzUYAlUT43hFCiy0MrfNcLJeIGC4uVjgXsEYoy1k0a3UOp566idvrpgFgMZuhPuADiSwBW1jq1SoGpFnGn1Jm4pDGgK4sY2lW1dApF3IWhyUTFuAwhACr9QWHiyqajgYlEIkRY6BtHIUxOO/RAItZibWWpm5xLrBcNyiCTSk3WSkQ1S/Rz8H7Fi+SCKRAaByY2A/n2m5GNG1S1RiLFEVncJvHVjWqb8qqwJY29qOpO2VGvgMxnSmMY/Ro7sKmb83wORI0l8UBlBAcYmx/j0XprV813YeQ0jRigG0o0rEeHwTvGk7vP+DNN17BNRdcO5mzWrUEr1ysG65dm3NRP+TW9RvcfbOlaWJ55Hpdsy7LmFZUXHCPV7l+8zb3756xOJgnwkbTuaKnzMzEe22MYkWYFQd84qPfxgff91Eulvc5mJ90qUHRyyZwdHDMi+/5EM8++yG+/OVPM58dc7S4zrPXn2dVu1hRJrhONRTLAcnOcDenv3RckkLn/zIc78RA7FaohXxgJDFMTpsZkyAhUUvpiYtkBgbp2t3Vdlb0yMadn/B28PXiHyYT1AkTJkyYMGHChHcYxmoJek8PTSvMW+ajQ03+wPB08Ad8XuGMm/MxQ433oxAfOgoGH50o2ZSLj1MEtomQ4YX3kvbL2r4sSyeEpH1RAEtd19SrJVVlsUZxznNwcMTRSUHT+lT+1qDes1rGcrfOOXwYEEcaPURUlVlSQazrQOPqaLoqMJ+VPPf8C9y4eTOurqfr1xDTY4wxeA2IRAIlh+l5YTyuWkMInrZpQKEoLWenZ+SckWjQCCKKJaamaIoeq6LEpTQcC9GnwFiiX4VHrCGo4FvAmJj64wxIwCajVIir/asm4AZjbAvL9WsneO+p26hUcT5w98F5VJLkVXEVytJSNw5vDNW84nCxSL4YMZ1mva5xbSyFW5RlV3p2cXjArJqhwdM0DbUIVgyz+SFVWZEtRowYMCR/EIMpLEZgvfSc1+dAgaI4F31GQoheI7PZjJPjExTl4uIMYyz1uqZ1bSIewIWGaKY5nGNZSRXvWPRnkD5QR/vgXaKyIqT7HjSmTjnn+/S0FKh7F8dNgFZdVPX4lvt3XuX03ut4V0fFgY9ERdN6zpcNh0cV12+W3F7c5oufe4iGrNqJXVyvax48eIhLRFjbNvhWOLnxYiReeh1ESq+SaP5qYjUYIzFVZF7NmVUvpHdIJM6Wy4e88cYXuP/wDg9O7/Hcc9/C+z/w93HvjS9xdPQC3rW0qwvKgyN8eofFtKFIdMXXUnqGh1RCeuxl+Pvg40g3Mkrz2w3N9y89K2NkZ5BIfgyPEmHrfTU6slPPPd0cmLfsATJhC49FgIiIBX4v8FuA54A/oKqfFpEbwG8FflhVv/bkuzlhwoQJEyZMmPDuwVZ6SApRdPBXcOc9kNUf8cDtxjoZ+Nj/Y2A7kXfaqdqI+2oX9OSzb36f+73rc/xdt47ZTX4MlSLKcKV9rCAZkjg7+jxY152VUfkyqxbUZyta1zJfzCiNQ4NHgWpWIWKZVTPatsE5R2EN89mcsixiAN601E1D6wLOu1jJwztabwirWFFkPiviSjdgTUk1m6OQAu+Q0h3SenMINE3LYjEDk640pUOE4GnaBmMMbespbIGWMSD13nVL484HBMVYg9FIojRO8EEIJio1nFeUgoABDfjgMGIwpuwCv9YFmtZQlMn7ouOilKZtCWrjXEuKpKooOLl2DAgXF2sePDyPd8XElA8DWAOzqox9UcWWhsW8oprNuFitWZ4tY5WY0uLrFUYtPqlZrC0Q4OzsDO+iK61gcAqrdU1ZRmMSST4gRgrEWkAxElheXHB++hDvA9YS/VBCwIdIZsxmM1SVe/fuUq+j4et8PqMoLLOqYrVa07SetnV7yDUFPLGKiAU1AwPNHgIcHCxoW0/dNIQQWDdtmsvRmDOkdKuxuiug7YrTe6/RNhfMSgi2xIdAE1zan2TC2XJwcMC9uw0hxHdFCIblcsnBUcm1WyXVrGXdnLF8dUlRGm7dusn64j4Hh9ehqEi5HCgkEqREsHgRMPF+5rK0WTnUOscvfPZv48MdHp6uOVjcYjY7Yi6Gmx++QbtaYmYlzzz3XFT41E1qQuO4iUG3RmwwdoO0k61ne1DOdvOds8uHKAtOcsPDdL98N3PXhroO7YUmXUrdVkrN14OceJcSIE+Df3hkAkREDoC/Avw64AI4AG6kr0+B/wj4fwN/6HE6MGHChAkTJkyYMGGMkaoD2PnXr6b9BuUZR1/nP/wTYdAHDIHhH/e9LFyT/8RuaF7lfkvXs9nW9vUMCZExeZJJjr6aTN+P7WvuK2n0uxzMC4I6jCkwtqSoYDYrCOsHMS1EouLAFobr10+oVytAmVUlRTGjmpXRL8S1tE3Dw9NzXnvzAd4rIYAtCsQE8JGgqCrLg/Ma52peiEINvI/BbywHG8e7qesYkA88WGJ52ugREsvCJk8QiIF8UiOIZI8GZT6fdZdrgwcCrVcaL1SQfC+ib4lK9MJAoiKmMIJY8C2UVUFVmG5ks09GnBd5zqQUkhDHrSpLDo2lDQ5rTDTa9B7R6KfhXUtdt3ivXD85ImjgYrVmvVpT10101BATU11U8U1NU1aUhbIMntJa5os5thC8D6zXDa1zXFxcUFVFRxh552jbPDYG19bEah1CVZVUZYlzLWhfZtYWJcdHh6zWNQ8fPGS1WnfkT72qQZTCDsOlfk6KpuwbUdBYOheSG+NoegsaFFtYZjJD6wa06dtBozKnC9zj+BZS49sHHB8awuKI1nnWqzUSBO8LlDhHrIHWtdSN5+G9FeodtVMODxZcu15yfMPgabl7d0llD7h/d8nt27cIHi7OT1GFw2vPQnoGNISobWkafGGxoSBXPClMLKccCRbFucDh4U1efv11PIZbN25hc1Ufazm5cQNVj4hhXpVJxZT8NkJMDXrchATVrK7Jz/q28fLwHZL/y2lVkTgS0IAERSSnfmWSZOyL1N9FIuHWqe0Gbx8xl747nwTejQqQp8U/PM6M+0Hgu4HfDvwN4PX8hap6Efn/Af/o43ZgwoQJEx4H//4/8zu/0V0Y4Q/+yT/7je7ChAkT/p5GWpdM0vpRikgmSXb8YbyrMkpWcGgKQOLCGgPSIZ8vnWFHELDVu4FiZN++2yqPx/1LXkc/x8qVMdexp5MxvcSB922U8ysE50GhcYG6dcz0HHNwiGsbjIlBeV076iYGekVhELGYoqAqhWevHwDQOE9VWhYHC9arhnXdsGpCDPIUiqIglsmMShMNHtWo4vDJmyKnx4iYkbojkgOJIDCCFML5+XlHfKlCELrSrtGwVFgslMLBqvY0IaX+aF/ZxKSgXvL0CrA4PGA+rxDvEVHqpiVIgZAqlQQfq64k74egcHp6zjPP3qKqDNdOjqPaIl2vIZE51mKsQYjGn23tCM4jRnAuEhxlYTGV0jQNwSnqW8qDGVVZUtqCa8eHzOcVbet49fU3qVtH3dS0TYOxlqLIpFIMzFUdBkNZlbimQdXhXZOUJGCtZblc8srLX4Xgo4rEVoiJ96KwhqZt4zxIAX0nEUgE0Hha9ikceUz72atcLJcYY7FlweHBAlV4eL6iaR11XVMVVSSVkueItUphGlp1lGVF0zpEQqzOkuaVkWi6ezgvoBRO7zeU1vChX/Vh3rx3zldffo3D4+OYPtQ6jo+iQsRYg3Mtp6dn+LDAGGFxeIItD8CYzmcoEE2BVR0khUowMSXLiHQGpu9977dy+/kPY8RT2YrCxKo8mlROsepRVCgV1rCuWzTklCLd+wBfVXlK0g0JG+TH8PNOJYgkRrLjMQZqsm533eqWdEqdngzuU9V2q9AmvG38IE+Bf3gcAuSfBv5zVf0LInJrx/efB37X45x8woQJEyZMmDBhwja2fTKSDmKwPVpMXr3qGP82H6a/jImU4R/6mlbtO1n4npSYjTNwVfpMugquIj82VSC7vhv6glwVJMXeKY1rOT+vcRowpiD4FjUFMb1DOVt5zlYXPIPGkq5FgWtb6sYxOzjEB4cEz3IVzVRb5wiqVGVFWUDrAvWDc0KAwlp88CwWczSUzOezWEFFo6LDpcBQTEwBENEY2IYQDUkDqOZKIBYjsXqNmFi1p06laxVSuVpD28bgGI1qlMLGVJbZHFarJZQlPkQvEXWO4GMAGqvDwGJxwIsf+EAsU3v2gLY5p/GKBou1BT7UkYQRobAWMdFXZblccXp6yvXr12Oaj/dRDSOxbK36QFmUFKVNRqRQlgXOB5bLFcEDVsAYLDbtpzT1kmsnx5G4UmVdr3EprWg2n1G3MYUEKWhbNyAIDeC7FCIhjWGqohLH1+PWnvV6zeriAYJgy4pqUSJElUnTNJEoSveHzqdikBwh6ZwpFB+qNzp5gMbAOYsDfAj41YrZvEIu1jRtS+s8otGU17kWHzxHc0Pr1lhboJhokjubUVjLer2KSoZOgiC0PlAvHUYsH3r/B/k1n7rNz3zm5/j5X/ws5QNYzCwf+MR7+a5f/UF+8id/iuVqyXq9BG05OlhQry5Y2HnHLGZSoXvnpGsIyUcoKnYyeQBVMeNwMceKofUtGqIJrfMOa8vu6Z/NKuqmwYfof2NE6Iuv6HCIR4jeLr1J8Fgd1r8HNgmP/HNI0kZvpME9k/wZMqkx8h7J93vw3lTNO2QG8XL/kSeCd6EChKfEPzwOAfIC8LOXfL8Ejh+3AxMmTJgwYcKECRPG2PbF6MmDLAEXogpABsfsLj3bEyUxAEiryPRlH4fHZ/Jjc/uOXgK5ZG4ORPZdwzA4pNu+rVLZR7ZI136f0rM/Iuh9BeLP84s1Z8uaum5QjeaeKyscVkIbSNJ4aJqWu2/eTSkisRTv2dl5ND8VwbmQysjGQL5tNZW+tclgMlC3ivdKaZXFfMF8fhA9Igi0rcMlJ9HFYoYIVFUJmEQqBDQW6I0pB2WJAl7BJuXB8qLGew8IrVOMCA2wKAvEGlRjv5+5dYPDwwPuvPE6bV3jFZarGpdSJ4yJ/b518xlu3brF4dFBvL5VQb0MrGoHKK3z+FQeNmignM1ZzOe0rSMEz/J8zdGRYzGfRwKoKBO50eJdwBUeI8JqtWI2q6gKm6raONZ1jZJUBcSUlPk8Vt1ZnT/AL46xZUmRSBIjwtHRIYTA2ekDgg1YW+JCrMQjqYKMqtL6FiNQFgVVVaW5F9OLUKFZLRFVxBDVGcbQeTsQzWUlHjKYTxuzf6D+SHFwlzo0musqkejRSIKUIpiUqiVA6x3ORZPbEBTU4VwbfV2MwdgZxlg8DeovKIsCYwxiHOqjZ4dXUFE+/4XP893Xb/A93/0p3v/eF/ncL/8Krl7x/vd+iONr1zpvFeccTTKgFXtKNT/GVhWGONaZixDRaDKrgoqP6UMEUrVmjIROIWQKIITOV8c7CKVFNBIPxtrY76FqTPrnmx0pLUB3T2H8buvvwX5E8jiW8+1IYOklPIof/B5QiT4yud34vjXxGU1VYjZT9B5FLfe28e4kQJ4K//A4BMhd4MVLvv9W4JXH7cCECRMmTJgwYcKEy7EZgHWais18EHaknOSVatkI2LaQSQbdaHKXImOcA7DdjV0VZcYKkGEfd5EhY8VHf13j/Xav+A6/VoXlqqFtmuSFIcmTAxpncC6kQNlyMJ8zOziKfgHeRVWDazm/aFg1LdYWHByWzGezlJoSTxOCEuoQK6okdUZZFLz44ossFovkP2DjuQ0EH6uAtI1jtigH9yYbpCaPCmtwLhINGuI437t3jxAiAaIh0LhAmQJLm1JBnnnmNsdHBzjXxNKzIhzOq6R4icFt8Mpzz93m1s0TrDWEtkHEcHxyzNnZKVUVK9U4n4JdhcPDA65fO6EoSrqVbzzeeXzTsjw/52AxB9XoT1HE9BTnHG2r1PWSsrAEPEVhOTicU4iJAbMQg9QQ/Rqcc5i2RYyhdW3cFhy2rTESU5KWywtsUVJUM0QsXhX1Adc2oxV810Yyx4dILImJwbi1ZTSftUUX8MeqKENCL6aMZXKDFD/rnnh359PVR9NbmyMvE0mp6FjiWcwrXG3jNrF439ER0fSUmFpSBWirgKxN9LMw8PLXXkPkJ/nOT303t565zq975rvxjQMJPHxwztnZRVRntC2zquDi4hwEDtfnzMvrSKRAuue5U5lJSEqH+N6JvjkBvIvuPMGBCsF7QqqOhCptHeelMQaEmF6kvanyZe+kLUWHpHHX4Rtou41OHaPDd1//7pA08Eokp0Szs8eQcB6+o9L7B9nZ1U3C62ng3egBwlPiHx6HAPlh4F8QkT+2+YWIfAj4F4E/8bgdmDBhwoQJEyZMmLAfWaa9tX0gv96soDLGmLgYBQKXrlr27UTVyPA82+ksw1SXrjiCDtvYVntsExr7FCeXKT6GRMyAmBkEnU0bS5pGebt2AUvtomfFYjFnXgTKAspqFo1JNSoAyrLk2rWCE40sQE4Dib4e0RuhsEJRFHh1lASO5gc899xz2OQnEYLinY+mpUbQ4KlrxXnPgYmry32/eyIqj0deYT49PWW1XmHEcLCoWMxn0WDTGryP/bl56xZFYblz5w1uP3uLZ27dxCUz1bI848H9hxRVydHRAc8+cx1rYF3XXCwb6rqlnM2x5YzCK2UVFRWti6VbD4+OYkldA0WR+215cP8B+MDsYBGNT32IlXPqNvpFhMAspQLNqgrnWoqipKqaVKM4xMo7bYsTpbQWQbqUEMOcqrD4tkFNJAEW80VS7TS06wtCCFhjaOoW52pmi0OqxUH0oNBo5FoUQts65rM5x4eHnD18wGq9Qk2BBhAb/S36501740yGATRdNRPtHsP9z5KiWBFcSl2JSp9IoAnakSmqgVkhWCM4pDNgjQqIeExRzajXa4yBorCdSiSqHARr4O7d+/y1H/kRPv6xj/PBD32QarHg7Pycn/n0z0VSLNcPBlzbRDNe1+RHLaamJMIhUwNGou+LUbAmpnlp8GT203tHKGz37MYUl0ggKjG1LN6DqF7JZFR+GPt5vmP8dKzpygRH7mN8FQqQ75WkvbT/Xft3X+SFI5nRWYJor+AZIqfM9Kfp02D699yu9+4TxruTAHkq/MPjECB/BPg7wE8Bf4p4G/4xEfnNwL8M1MB/+LgdmDBhwoQJEyZMmHAF9kUGnXz8EjJjz7HbXht5JVW6gC8rMLbz6S8jI8arp7CpKGH0/VuXjvcpPNvBxziaaeqWpm3IJVxzuoRzgfmsoCwMxijOtxSuiceH0F0RQXGuRiSuZgdMF4CpEv080n7Xjo+4fnQI9UN8Y2kuDrCzBU29jlVdVAjBJ48HSzUrEdF0uug5ocmjI3pZBEIAY4WHDx9GQubwkIODirKweO9Z17HCDMCD+/e5OL3Pyckx1WwGVWR+vApHCAeHB8yqimpWUhhYXVxw7+EFq7WLqSp1Q+NdZ3baOkfbBqqyoiotFkNhhMIYjLGsG4eIcP3mda7fuAHW0tYtVWVZ2RWN9xRSgDpmRcXBYoH3M7wqRbHm/PwC71yaj76bc8aaVDHHsFwtadua+WxGlbxbirLg1uIWq/WaB/ffBO9wrUedxxKro8Q4P6XYWBP9S8RSlVF1c3L9BkfhhPsPzwk+Bs/GCGVZxYA+tCSKYjizCDJQEIxnHSqDYD19EMkVSAI+KKtVnAtxDsWUmxhFB8qiNyeO0pv4vDnnWC/PqaqS2jSoZnNbmJVlKmPcUCZT2Dt37/OZn/0ML774AmYevVU+/rEPcffNA1599dV4DmMIPpX6JSojupS5Tt3ksdZEBYL3mKKMxIj6+IwIUQmi8b5UZUHwqeJQJjhdnE8mKSnKsoRWccH3RC49SZpNZztlmPT3YESqklL2JKb0xfNlsqKjLEDHXknSJw4O2gxATNeJOw2/GxKrMjgufh80jMxYJzwxPBX+4ZEJEFX9vIj8w8RSM380bf596efPAz+gql993A5MmDBhwoQJEyZMGGN3+kj/3TgPPknnB2TGpiJENlcok2R8l64ky8XHJqy7jQb7Y8Yt5VXWPp1mN8mxeY5d2ORvdhE3G93JO3abYlUPQVNgt5jPqesGFzxe+wBMFdr1OSYpEACCCiFoIlAMFVUKdnoL2ujboMzmMw4PFhzOSorDEt+subjzVYILNM4TMARTUBweExSsWAgBsQUmeYCISWVCNa4ypziZpo0pPCfHJ5RlgU0eHhCDe+8dGgQXatrao95xdHjA4eERJvmUHB4esLy4wHuHoWS9rnlwVvPgbIVrA4eHc0xZUKD40BNMxsRSsjGVQRLh0+ciHCzmHBwdxvSMtqGsLN67aCSaVTNVQVXOqMoCZxVfN7RtA2JpXUjmqtGw1FRzDFEpIwZELEENrVOKIikfUAKew+MjFos5Z2dnrC5OWa9WyeOkD3pF4jFRieNY17EykEhUKhwezFkta0A5PDzg6OgE1zas10sODhfjtkiBdwrJtROMDILkjQkcTUQNznuC11RdhW7+dGIloDSSUkg8gsE5KMoSY1w04zUFQkHrktGoi+lQPqWdzGYVxhgO5nM++cmPUZSzjny5ffsZbt64zsX5OcvlkmpWEpqGoAHfNrF0MRaGZqcmUkBG0sWHtlNExFI/ScGiISl/LLNZFf1dknms9x5pDRQMPEAMYgLik7+HbqgqhJ702ME2babCdYRq/jc9oyOCKqtAUiZLnzqzqSLrW0Kkq2iztU/iSSMZNSlAnjSeFv/wWIWXVfWnge8QkW8DvoU4M35FVT/9uCeeMGHChAkTJkyYcDn6ii89dqWM9EoQ3fpDeeijkQONTrd/iTLjqm2baTD7zVL3qz12GbcOCY74c2wyOA5QdvRrsDkHOGVlcReKsUpRlFzUdfQ6MNFzIqjiE1njXIOlJJYJDjinOB+NTZUA2oJJq9jGdGVPq6ri6Np1VvfvIEfPIxoikSKC1xbOV5jFMdff8wKzxVEyEY1pMM4tY4qAiQaMzre0TQOmiKSICGenZ6jGEq4uBHwQTKocU1iLFrEiik99da7mpZde4blnb1AtFrTOc3JyzHxRUVrLxfmS8+WKs4ua5XLNwdFh9MJIwa9I9BgxgCktRVnGSjMifVgaFILHmujz0bjoB+Hbtk8/CJEqsEUKeKFTq/igtG2LAq0PlLbCmkjqhHS8qHSki7GWVV0zr0rK0qJtQ2ELrl0/4eBwwXJ5xNnDhzy8fz/eHzSaiRpDCJ6maWOwX7tEakQTWRHDyfEikT7K6dlD1HuqqsDaYqz26CPnPnWFPvCW8dMad9VINlpjqYPrlVZ5ynaxtlKUBnBYE31JnHcUZYmIwYjBpfEK3qc5E41bAwFrhfm8oF63vPfF5/nwh38VPiif/eznWK9O+djHPkbwyvnZGWVZUBYljXMg0ftEg+9KLhPASiByP+kKTUotSfkiA41FvJ/OETSqhWaziqZuU2nfaLqqxHK4iFBVM2azQx7cbwZERKRlO83F4L3TkSBbz/v29l1eQdtpgkPiI6fjsbEN8gul82s1goRemdK393TxLvUAeSr8w2MRIIOO/DyRdZkwYcKECRMmTJjwhLFFDAxVFJnEML3aQ/oIavDne9o9KT1yoQNJ+12OLL0f9YqeXYhS892KkZQ6ojlYyl3bMGfdc72b2/rSvMPqEfv9AgYNIBJXZs+XNQjMZjEoJqSSniK0bfS3oIir3EHANw6RWB3CuSiNDymQD9ZgGIy5iSvEtrAsDo44u/Mq9XpNMEpZGIqywhZFJC8Ob3JwfB2QKLhPKRfON6k6jIukigh1U1NWkYRAlLOzU0Lw1HVLUVia5MsSV9RjOoqGNnqNaLzrZ8s1zWt3ePbWdRaLA87Pz1jMShrg7r1zGu9ZrdfYsqS0BUpAQ8ClFJx819u6oapavK+wZYkVok8KigstzjmWy3MODhfp/gBIImQ8Zbp+DVFZohpo2jqRSpE2CICKIRjiNRNTR4zGUraFLWKqgfc08XZSlBZVTwjR46SwlpOTY44OF5TljIBy+vAU51ratqFpWnKlGCNC8CERLY6qLJjPZ5yeXrBarxFguRIulisWh8NCE9o9IWifwCEIEtIDpn1wLWm+WzG0wQ2eo7jdiMEYIYgB9RQW1HuKsiB4g0g0FY3EhEmlaDWlKEUSynsPGjhYzCitpablIx/+KIuDI77whS/x05/+WRaLkq+8/Arvf/E5TEpHKayhNdH2VIhKHxGlMIItYtpOLq8cQsB0FaTy+bNKKnSERWhbUKUsS+aLGd55nPMxnSmRCLOqQMTStg3e9fMjju7Y8nnTCHXXe6L3+djvFTQkVQlZcZLvUN4njEiPfLtFJKnsBvTISBWX33dPEe9SAiTjSfIPj0yAiMhfIhqR/DVV/cyTOPmECRMmTJgwYcKEfdCu2seW2mGHeGOzSss4B167AGW7SkpKU1EGS9FhIEfPVVpGZ+uMA3f2vEt92f997vO2v8g+BHLSQA54ehJkOD7p86DPGmJwVySvjsXBjItlDcZirRA0prpoUJDoHxHLlMagKo63yUkPiR6K9yUrSJzziBFaD+v1mupwgYjBe4+1JfODI9p2iYSAmrSa71uCQmFKgkbSoV6tABN9KFqHtZbV6oymbfHO0bY1R0dHcezSsrRvfSyF6gNBY9lciEFrs6wpijNOjhYU1uDqBu8jabC8WLFcLZktjqL6wUuac4N75SPZ5Jzj4ek5B/OKg3mVzE0dbdvSOh+NZjFYEyeGMUJTR9+Utmk5uXZMUdpIdQSPb11SHECICS8xqB7we1VhopJDBB9c6o8nIDjnKMsCDYHVxQXWWpq6RlHmsxmujaagaMAaSSWQicSYMemZSKkeyah2va5pXSQbMrURQhilA6UJiEo0BGVj5vVIz2364ZzDe9fdF5FYXtUkEqQoYuqJtZagtiO2BCJJUBZU1YzW1XhXY4wk49t4LxdVybXjRSLsoneH4nnt9VchtBTMOD895+58xuFiFud5YRIhFEvECopNQg8RsDb2z2skQqJ5a34Gkz9NStcyNo6ZCcmQV5tENJlObdNRRWJZr1fU65rItc3SOGr3TtqFzWpR8X5GcmKs3kj7xhrG3Z3p3n/Sq0DGqX29SWrnzSL9s47oqHq45LkwKUCeCp4W//A4CpDvBv5xQEXkPvCjwI8AP6Kqv/SkOjRhwoQJEyZMmPCuh4x/DuXfl5qdJm8CJBEUuYkUKHd/7A8DBaRve9jcQPExXintVSD5DLv6dBWhse+bq1JpNr0/4jWZPgDq9fP99wKlLWIago2BZlkY1o2LJIIpMBoNIUUMGpSySEqTfC6RGKzSe2/kADmo4olkBbM59++dMreG8nCBqrI8e4hiqKoZyzdfZX7zNohlNpvRNA2BpHYwhvliwemDBzEdJ3jKouTi/DymjnifBAZRSSHWEBpH0zQp6FS8hmRAKZG/8XB6VvPyK2/i2hbvXSJAhIBibAGESDCkgDuaY0YypU3mrCEo1ghN67HSUJU2zrG0ml4UJUEt3jlAKCUSDZIr3KiiIaT+RVVAVn9EaxYhm5BWNpZYFXUEp2ALQgDnPUVWn7QB711MPTo6wtpYGaewwnLV4JzHuRbUp5SbgIhN5FUkFzWnD6Gs10tsUVIWhtr7bp51lUo2CMiophqosvJcGQTD0j1a0dclGoHGFJdMCszns+jfEQxlEUmPwlYg0XvG2ugJEkmxgrZdAYHKWtZtQH2gKi0nx4cUZUHTrAk+8Jmf+Qy3X/kq9+68ysHMIhKYlSVVUTCbz9Hgmc3mNHWDGMN8VpAZxeAjeRQrACXViokER36HRKVRJEFIBFlMx0kKmWBofZuelUjWaAiRbCGSQVlxsv2gM3pfDZ//7c89QTxSjmSlWvf49u+NnIK1nQrDaLuI6Uni4RurmxJKNl9962bOEy7BU+EfHscE9XkR+STwDwPfB/xG4HekDr0G/DXgh1X1v3yrnZkwYcKECRMmTJiQVh/FdOqDjP1pIoOgy8jou+G+QwWIpgVNZZxuI33UNggpdv+Bv3Xc4DyXkx8pgtzIY8kpHWMPkEEgigx23wyGBmVwN1IQqrKIpT/VY3OBC4lBsLEGgmLEEDQG5V7BalQyhBALjPoQYtBq07mFnozwgXVdE4Lj5No13jg/58HDU8rCEkIkRu6+/ibH169T1TXN+RmzW8+zMgYDlLMZprCd/L+czbg4X+KdT6kYa5q67tJ2NAR8AL9qqZd1VDSkexpU8EmVAkAI1E3g7v2omDBGOnWPIVY8QTKBFEmGbo6EGIQH77C+QEzAi7BuPcZGQqNxMWUmpqMEFMGIEoJgigLnAoWxUYERPKqB1ittG6J6JsQg0pgi8nQiFBasFIhEHxVbWNatx/l0WzVgTBlTaZqWi4sl8/mM+bzCh7iCX9ermFoSQpoDJa4NifQxBB9JiKChO68LindhMIdAEdQHjBJTXIbzboM57FVRmXyLc92IIUSaKyonNFDaEmfj+cvCgiqFiee1RazaouqpqpK2XlEWYIylLQrmVclsZrm4qDFWOD44pJqVeB+NSAMKwXH/7l0Mnvm8wDnPbFZRWJgfHACBWVVyLspibinLIt2HlO6RfuYyxsH77gIzgWDEJPVMKgkd8jMnmMJgrY1lhdP8zOlP3sdnyRgBclqQdsSHoDFLZev5H6NPfRmSU4Hhe26oAMk3K5JQwzZ2E8v9vUzjESTNCIHQ4JuHeL/GrS1hVW0d/0TxLlSAPC3+4XFNUH8R+EXg/y5xlnxn6sy/CPwe4HcDEwEyYcKECRMmTJjwtpBJiDFBMIR2AdWg+gt0SpC9EouMVL0hr7zDtsRckN7ocYOU2JePn9vZVUWmN3Udr6jm3PrsJ7J1raNtOfVlvN47Dkzz8MXxO1wUeOfxIYthDOoBMb2aQ6SPYCWrLMD55HGg0U+kLKLEHxNioEYkAC5WNXfvPuCZZ57l/r0HXDQrjuuaqjQocHRyxPnde8yPjqiqktXd1zh4z/u4/+A+zd2aGzduMD88ZLVacXF+wbpuscZwfn7OcrmmbX1KV0g0SYir8K33qdJKDOqyIkXDIMUDgykspogGlLn8qQ8edQ4pZ3TsgmoquxuDcyOCR3FtGwNeEQJCCFDXDh98rPIhvjPiFBPHyAdiedkwIBQ0sG4cLrgYqBKDZ2NCrKYqBq9gJKZdFEWBqoAaNDhalAKhpA9QnXM4X7BcLgk+ElvBt/g2EQrJP6TzH2liP8qC7vly3iPWYK1wdHhIVRWd6qawgzKq24KB7ost0840uZ1LpJIPLJcXiLWoiYqV5apGgVllMarYosAQwAYsFtUSYQkEinLGybUT6sqyWq5AlePDBfODCtd66pQCNKsKCoGyKhGJc6BtFTEFx8eHVNUB1sLi8JDZ2RmzqiBoLIWbicCY+pNJop6sjMSF6UiQfK2j1CkTU6lKW2JM8v6wUTEUU8UiURubiM+zDpQW8RHs0/Z2vQv67UOlh2699+LbMBJzaDxnVv9st9urSbJXjPMDhVx6RfhQc373S6wvHhAr5Aj2aStA3oUECDwd/uEtmaCKyHPAbyKyMf8w8AEiffeTb6W9CRMmTJgwYcKECQMokRXoTD+HaR85BYVBfvoQOW99g5AYtNCrIy7/o33zb+5+VfUqkqLfttfnIwcrKt1VdVewM5jI6o9N5cdmn3Xcnqb20iq/MYKGvmxlVAP0q9d9G6ZPJUkEiKjgXEh3wGHTyj1JVv/qq69jbUk1m0NZ0KpgXMCIZ312gWigPjtjbQvmNypObMGtW89wfn4WK5RwQdM6fAi0TUt5MOPOm29yerpEEaqyiAqPlE7g22h4SlDEBNSnspzJsDXzZ9nTIPotxJGJfg4xIC1DiKSQ8yk1QwheyfJ/DTm4TyapCk0dcC76SYLivMMUZUfc9avwsRNelXUdK4HUrSMEH6ve+EhIWRPTXlQV58DYeKxITLEISdUiQipL3KIhemaoKqKBclawXrVYE4PXGEBH0iMSPoHWB6xK8lRwsTyuCnULN4/mVFWJEDg6PqawBfXqHGO352g3ua5A9qLIU7UqChDwrqWsZlTGsHItZWUpTUlVzmjbNcG3qMLi8JhZVUbyKpn3BudpTM3R8QEnJ8f4EKjrmqIQ2iYSNmVhECxiDmlax3JZYwVuP/cMjgWFDRweniDPW5r1KYUtsMYmo9mQCDCF0Kd4GGMTARZiqli6X5kMySkwuWxwUKUwvXeOGIO1SrylkSSJhr3aESBAZ4I7yM7rxnI0rln5xVjxMSJxBy+CSPDENLhNsnfzng6vK/aJ+C4IiludcfbGq7HUM/GZsU+ZoXi3J9g8Sf7hcUxQv39wwk8SZ8fPAn+WmIvz46p68bgdmDBhwoQJEyZMmLCNmJoCDKmLXMoFQHMuRwzNstJbUmrLrpXQYV58Jkg202Q2zVT3LKnuPH7ndQwVKsN9ZfxTB79uSt8lubT2q7R5QXpXECPdNcYdY3nPEDRJ7uP3QZNSQhVjZeALEA8LIaa9hE6dEi86qOIUSnKZ1phKAoaz83N+5fOfZzGf88KL70GD4/zhPdzyjNWyxlgbA0urrB6ewp07FFWJAm3TcL5c0rbRH2OxWHD33n0e3D8l1djAeUdZRmPVIEKbTDUj2SGdP6MxBitQFJbZrMAkPwdJ6UVA8i0JuNanah9FIgo0Zl+FtHberexrzGSQlDJiil5hYgxFWaThjsRIvm+SVDVt8nzQZCwb72lIagMPmvuXSJd4kmQYmlJ8XBPX8osZTZMUK2KoqorZwRxroGkiOVIVQllY6iZ6ktjCIm0LPs4Br0qhhqZVWh/vNwinZ1F9s6xDvGcSeN/7jnZNseGHHRgE9iErdJSDxQxjDHXrIAQWixkLmeF9oEilfuflEesLxaDMZwtmJ9fRoCxXZ4gIs2rBwdEx89khAE0T+4mBel3nAlEUZYVroxkpYnDNimJ+gDLjYDGjKCquXatYFgZbJt8RH8erU/qMSMv0PCgd6ZBTjCQpPVR9R6y2bdvPgTQPOoItPW/B9+RQfrlISrvREEmToQqtQ4g2zyGTuXsIjawSkuSLhGiqpLO5nyZCxwzeUxqZD7EcHZ5w783X0NAADYuTQ/y6oW1aQAnr1Z55MOGt4mnxD4+jAPnzgAf+NPCHgR9V1fuPe8IJEyZMmDBhwoQJV0MwI/4h+wl0m5K0PYrGBztdulaYiIhBnNARJwPiQIb7DzcMVeeyndoyxL7KCN32gRKkS+C5cpkzExiXn2NwtsF+MQgNISs2+lVna9JqdvpfCArqOx+CfFqTg6wQK9Koj1V6FKhmJUUoaeqG1XrNYr7g4HDO+axEzw8pG48tK6qDw0SoGBofWJ0vo+qhjWTGfDHj+OSo813wIV8DqV/gfSZz8jiaLfW/CBQm+lfEmN9QSE9CRX2AIThwrqUsEoGRKl3kOkLdKviwEopK8qgYBLEmYIoiel0o2FTOV0Og9ZGs0EAq2Rqb885H09SksDF5GkgkSVQjCSUCTRPVIwRPcA5jDdZYvA84l8oDW6EoLIuDOepaVqsLVAPWxDQnk9QIrQ9RcWIMde3xCoUxvHHvnNZ5qsryxpuniChVYUdlgUdT8RFW/TV4gmsBidcOqLGYRMBFOVK8doONfisYZrNFSteKBIdqNBBNw081O0QlthnJB4u1hsPD2eh5Lcs53rXxXlUHWCyI0qxWNKyjOicEQqip/SqphzLhl9U/UUkj/ZOaFET5WYnj4IPrhV0aekKWIj5zGtNFus+mBIYlhuOzpBLLURMUUR29m/J7I1bZHqi2tlJjhjdB+vek9rIS7Uis/N+4/Hd+b7h6zasPTskeKRQnHDzzMUK9wtVr6vWKpZ5dORfeMga891s69psXf56nwD88DgHyeeCjwO9KP79bRH4E+Ouqun67HZkwYcKECRMmTJgQ0ZMKvQoi/sySeu3+sB2JRNJOmjZumaDu/Gs4sRn5HDLw5xikqYzSaiQpTq4kILava3TaoZwk/ZpNWTd9SXpFyFDWPm57XxrOMDgKweNCoLDR2wJIQXZ/zSEEQir3mf0SczvWWgqjHJWBNkDdxjSQ4H000dRAIZbZfE5Vzbj5zHPords0jcP5QNu2SXERS7EWZaAsiq7saVRFxFST+WyOLSze+V69owMljfSh4WY6kwuBhRVmsxJV05VyLYukBvCOqCIyiGry+zDdPdDESMQUGI/v8hGG1rjx32hq6THWdv0wxsR+pxQUSUarIStLvEYPEg2DlqJaQk0c+DjmMbWi8x/NaiACzsfzNG3Dql4DSlWWVLVEggND6zzBRlVC61L8m1KEWg8h9dcprJoWQbA+zrNIeKUyuFdxi3sgRlieP6CuV4M5P8TGMzBQlWxqsTq6M+0im230ozggRqW7Y927YrS7pkmu/eHQS8m6d07fu65y1IgESudL2/Jzq5HJ6PoV0nvJGMt8sWDGfNTv7mpEEJuJvW2io5+Eu99q3b4KqjIYBboUnfG96CZYd+wwzca5No5JmhtBC6Q8xlYnHF8z3HjPW5gcj4F3YxlcnhL/8DhVYD4uIi8QJSi/Cfi9wL8F1CLyt+hL0vz1R21TRN4L/H7gu4iGJofA96nqjz7i8R8B/jjRCMUAPwH8vmSWMmHChAkTJkyY8E2JTc+PzUoFObC5CpsGqZIWa0ft6XjfrfSZwe/DFdh957mqH2lDCt6HDW8zG6NjQpYIbEei4/EZRwpKf40hxH4UxnJ0Y44xhtW6TQqMJO+XdI2aU2ISkRQUJCovFFi3geDBecV5pXVt9NgIgaPDBbP5rDtWDFSVodRoUJljTu8CIrE8avAeNFfTiOeuygJrI5EwvKJIhCSVhChCTJfKWhpjJZEbFh+i6sErBBfwXonUT7LRTWaPbBBkSvRqiJ0df5cD6UgyBOooGqF1MeUhEgcQQktwgSCCtaR0iVQtJgenIStv0jwxQlkUVJXFOdf1F2KpXWtidRkjmpQwyaslpSvVOII3kI7xAXwT1SpRdRArekST1jyXYunXjEgWxWosSi9+2R9q74YAZTHj+q1naaPz6piMGPzMPenOMJjmkoNzGTwv3XM9JEczJ5l/kS5y1qHSapPsIN7H0TXqeN+x6eg2NRP3iSkzy/MaH6L/x8HxcSLWlJzC50OcJ2VVYhqTKYeu7Y6wTBKYnusYzsG+PPdAH0KmOro28mWI9j8H7WWCLv6ejaW3z9e6FueiwsUkjxlrbTT8ddHU96niXUiAPA3+AR6/CswrwJ9I/2UC4h8B/nXgB4F/5zHb/CjRufVngB8Gvv9RDxSR20TC4w3gnyOaoPwh4MdE5FOq+vJj9GPChAkTJmzgB3/wB7/RXdjCO7FPEyY8HaQUCwVktxpkn1Ho+GeP4d/P29VeGJEP2+fIzEAKUKCv3EJaVddt5cZeSB/ykGI0GQZ3uy5hxJ9sl//djRjmRy+P2P+iKGhdS+uUxcxwuCiwRjg7rfGaKrwMfAKiD0FfDQeNaghHSescqoHCwDPXFiDCat1y/dpJTLcIPlUeGRBXyYtANeB8Q1bZRCNWT/a9QMDYgsODA1x7mnxGoidClx6lKeCTvCqfA95o9opqNLQshEVlUlUVi5GYntK2jovaRePUHDOjOYomiGIkh5aGVB6mv9/ESi+CxhA6RBdWFXBN7F/bekxVju9KIuGysSnpWGNLVMEHj3OjyYEY4frJNQ4OKoqiwJoCVaVpWt689yBWsUn+E8YKt64fE8QkjwbD6dmSZd32E0yiGa5JdZHVewpjEIRZaTGJoEIiSbM5/7Zm2o5tIsLLp44QyugxMswi6vZhB/uRv8zbInkwEm+oSYQgw62dYmJEWA3eH1sdGNyTng/NjM+uZ3jHtQ+6oEFZU+HwHMwW1KHodspVZSCWjLWN6VKl+gsekLW57UwEZWJCGLw7BoRNR3ps9rEncTZTZXp/ofzO3fQsElSE69evJ+WH4r3He4dzjrZt8a6NiqqniXchAQJPhX94y1VgPkZkYX4TUX3xTPrq7mM29eOqeju1+dt4DAIE+H3ADeC708AgIn8T+BLwB4F/5TH7MmHChAkTJkyY8I5A9l+QUVSkKY1g+w/4nealKlsxz97zXaHg6CMcRm2O4rON469uU3v25FH2v8JsNbcxDERz33KlEhGDDz5W/WiUolRmNqaeaBcE7W43X3ckFApAIkkiQlUa5nNLYYVZYVgcLNL5I5nQ00i9UkHVR9VHQi7NaVJZWARMYbh5/YR5BWUhnJ6uqV1MzlFIP/vgUcQgMVmFwhrEKGUp3Li2oCpzyd9IwIgIdW2pnacdiAuGaU2aUoNUpfPbMIWFoDStH6zCJwLDGGxRsJjPWK9rlssVisEM5m0OHqO5apynKfOmu2nZd0LEUFhL6zzGCKu6Zl3XVGWZjD0jyeND9GYQiVVKFouKsrIsVy3ruonTLJbxwPk4Yj6xPrmKjDFCCLGtpiUqVnwc67ZteyXQIyM+HUYMYmN5WYxu75Kuubt8GR69vWu/48YHka0YWbZImc1WOophA3a812gOb2Oc2RaYzSxV7BJBk8EuCsF0ZqkCiInkUz+sY3VJPyWH3kQ6fCUOLqN/L2ZSKY5lz6jm98NI6dQRcIFYEXs4Rn3nbGEj8WgiFRlNlOOz6tsW17Y7RmbCk8IT5B8eqwrMP0uUn3wf8CJxdpwSVRhZfvKzj3Ny3ff/Mo+G3w781Ux+pPbuishfBH4HEwEyYcKECRMmTPh7AJpW9R9V8dBpxneUghkqJzZLSj5GhwZ+HNp7ksSW+jNutrlp3iG7i/DmoEUYq0l2ESSbJXY3TzeIDbvIUjAURQzqL87XvH5+gbGGoigYphZFk9TsXRErowSUXC42hFxFBi7WnlXTUhYW9crN2SyeO6XcxIoauWoFSEpzMYP+x6AqeyTELdYUzOcHLC/OWa2aFLznVrTPXEjL4UpUrsTVc4P34HCcnq2wdkiexYCvdR5PSa6yEsfK9MTNIKiOnhsO401KmUnTLF+fc2BMXBVvGup1gwK2LLryqHnMnHcIASuGYlbgfdKYJNJnmH40XNVf1w0ihnXjRtsFsEhUcxDTme7cPediWSOAMSmDyoL3cci8DxiJnjBtKifsffJwMRVtEIwQU4dGJZJ3zNmNuTkvDNcXoGpBA0osl/z2Qp/hCfPNyvdzIw1E+jSO3Qemw4dzcvvrPp0m7b3n6se/BktbJaMMjc+M0ibGLmBMwBYFpHmTx21ejg1Ic8v5qR2m5gyJkU107woGHOvWvpvvEdMZzMZ2k9pK+n1DCLBax/Srg3kk9Zzy8ldfpSwtz966uWNsnhzejR4gT4N/gMdTgPx/gBXwN4D/NJ30p94mifGWICIL4CPAn9nx9c8Bv0dEbqvqG0/ifN/1+//rJ9HME8NP/8f/7De6CxMmTJgwYcKEp4yRsaXukLAP0BES+Tily4Ufppbk8pJwlYLkir5tqiwkp8VoF7Vs+36kf/L3gyXlERmTF3h3dGdshrodEewjiKwxKdVCKMuSpnUpKBYWi1xSdSjDH7aTvCA6I4hI5OSKLEEDzgesFZomrgJX1QwkdMQVIoPFfwFjMAoqgUCfBpLbF6LHQEApqoIglvunS1AoqxLBJPWFz7QH3odo6KmxSkxhNQWcFh8UFxzBZyWEdFL+6GtSYFMZWzHSVYEBQwgtqnF86tCAEWZlCaYvcVsWlrZxtHUdSRJnUqEcg7U55SdfYGRsSlskP49UqlajSqK0Bu9jxRgxigfEWCT4bkHeDAL83uqTSKqJUNctrffRQ4JoCIvEtCBBcD5QWEtZRo+PokiVfKq02m9zOd5YijU+M2NVxC/+5Irz1eudCgURXru35n/+m3+FV19/mVdf+yoPHt7l2slN/vX/3b89mDt08+trr77E3/3Fn+bV117m9Tuv0LYN3/+/+F/zHd/29+2cx4Mpua32yI+5bvw+OOaKJuNxHXMY7/+YANlxhPbEy0aPun0iGRE/e8BTp+2xzee/5cbWxXQlhB+h80MSdPQu2bw2Gbsn7TNOzkd370hVXOv5zF/9H3n+5E2e+9i3YZ/9Du6fnvFf/cn/hsPr1/mXfu/vurSPbxvvQgKEp8Q/PA4B8n3A31TV5u2c8AnhBnHu3tvxXd52i+gP0kFEHlzR7rW33bMJEyZMmDBhwoS3CRkahPJoJMXo+0Qw7EpLGf7ce/zjQAcB0oYJaWes2m2gi8zyvyOO5BH60O8zONeQkNHN6+u9JoyRGH6nfH8wzGYlZVl2q/w5z99YkmQ/9dFarLWUxuC9w4cYWKsGKhtVDst6jTFRTdKNSUIuAWpMJC9yVZYwiFi7ErUpABSgKAyLxTwRMNlMMg9m/Bm9G6Ipa/RYUHxwhCZ+f2hjeoyTgOsC+gjvGjCKrYre+8AIhFQaWKNawvsGT7wGawyFxLQGg7CYW7yDVkPa11PYEjEmqjIGKhchptOUlUVUo8GrKrYosOn8wfs4bzSSFUYE0d6AFrQLZEXGcyhXIjGSZB85CNc0rlZjCV4jxCwakyxhY8lXIBqzpuDYSCyte8mE7NkGEX7kx/8Si/kBzz//Ptb1Ko1nLiWU/4n38PNf+iX+zqf/Os/cfI7nbr/Iy1/7UryCrMgZsRiDOd095sNnpSc0u33TszdM4cq7Dgu/5MvoT7lleTveeXhKAzJkM4cSjaxGIz9zuYJVP//i/TPp6NT3wXzJfXuUN9OWSi7dmyG1uVt3Nn5XDt8xefw0KHfKOTJ7Py99+pcw8zdxB0e87wMfYNU2T90D5N2oAOEp8Q+PUwXmx57kiZ8QLpsK785pMmHChAkTJkz4pkcMWHTnSu9wn001RJ+SMoiRkxpD9/wFvdnOZiCwiZ0pNJ1SZfd6bdefvI9A9igZfXfF9W2TI2n1faubOd0gBkAHByVt4zCFoSotVAsa55LngwEJFGU0H/UhppBESXz07BAjzKsiemwIVNbhFdZNTDOJxVQNYgxlWVIUtvNfkNTHEALGxjaH8WE3dumzGMGkMrXGWAzKYj6jqoqoVBFS6kt/0dFnIqbZmESeaWRDaF3g4UU7CORCp6JgoKQwqQ8pXwDIfhht9OuIdg00TUthDBYBa7ClxYjtSBUjhpBUHvF6SeoOCPGQmHIgMZVGcZSqGGuicWsIeOcRW6CuxbcOrI3EUYikhTUFtrAYepIm9jgGqkYEm+5VfhC8j34mtjC0JtD6wLyMBEvAs6hK5rMCYy1t6ynKKlb7QJiVBbHewjbqlaNeR9+VmyL8wX/53+GZG88iwH/0//z3qduaW6nKTj/IgAq/+df8Bv7JX/ubmVUzPvNLn+a//NqXOBLDLbNBuAwfZjY/b8/9HOr3xw8fkPjQaa6K0h0y9PmIc7a3Xe1myOD53T7Njg39+welqzQjMJtZZosYin70uVm8f0KvImPw3DP+veuljLjPvcMh3VXFA3aRrEM1yC7i2LmGalbypbsN77v9Lfy5v/A/oNWC7/nub6ds1lsZf08c78LI9mnxD4/jAfLrgH8C+DhwQsy/+RzwQ6r6N59G5y7BfeI0uLXju5yAtaUOUdXrlzWaFCKTCmTChAkTJkyY8A6AJlHF9srk1V4gfSiySSRclUbCxjG7vrtqny7eMjkff7xfX7lkW16vqn16xR50powDwmVY+rIPeqJywIrBzEqsLTHWoEGZmWhk6rynaVOVW2NSpc5A8C4tk8frcV7R4KKKIMSNQcG5qC4pSmIVEVtgpDd6NJLMUjvVieahobBp5TuEVCI24BuPKUtEA3gleEdVWU6ODri4WGJMiONp8gK86cwkZ6r9qrdm9UpMhupUM9kLJc0tIzHYttICLh5rktOICcykIIYMIV6PiR4qRloEg5Wo2FiUhqoo0gJ+DE7FhLhfXuW3gM1BZhyTUhSsQUxAaEDgYC4YSUapFYjxCIGubHNw+GYjJhQYxvQ9exj3sunatVUKEYyNwXYJWKtIcLSrfio2raUoZ1y/fovjk2uMvBY1zzio157ze2vyoM7kmPN7ccE6+IB65fTeoOFh/6ioG2V9UbO8iOlTq6Xj9H69lfoxpDyEQUGZTXHH8JHa85oYPjX5+KyVkU40MzYL3U3G9u+CTZVK5kliplgAhaoqybdQrluqRfT9ELFRG6IpjUt0RPB15+gQuuvc9QobpehpuJLUHR/LDjLDU9cNbd3w1a98FQ2OD37ko9Q0nC4fcrQ42mE4O+Ht4mnxD1cSICJyAvwp4B9jN9X4b4nIDwG/V1XP3mpHHgequhKRLwLftuPrbwfuPCn/jwkTJkyYMGHChK83+pVIiNUntr/b3H/T1HRjzbeLTbb2ewRSpP+uO+POVdKhF0liX/qgdbPNQUQ3Cu66/QeR3AYRNCQ/uhaUjfPkQF8oigofYsna4EFEB2kmnsLkyixKIXR+IRGRtDDiMYVBCaiNZMKiFA7mOXUk9sFYy51XvkQM0jb8VvrRAaT7ftxvpZF+73zgczcO0BsL8lc5bUAkkxzpEImlXEUGLYw+9CarXbqD5mHOqpB+eT9e2VC10lFrOekiElnHR6n7OSLfFTYI29/kQNuMA/ldx6uOKrNKv/P2aXYFxqM2ksohpKtLAbfJahNjqGYLjk5OKKtq0NcwblGjj4trWh6enVJWs5SGJMn0NXB2djHuU5dv0m9bryKJsl6vOTs7H/RYuv36S+rrQ235bwzVE5q/7+dzt38Inflp9rfpblsmL+iJ1PEzMb7+wWthG7nvqlRVlUi0gnJuKdZxDi9XnllVIMb359+h/hq+m/K7cUy6PAIxPGhn3F56jhIDFImQWKI3BKV1La987RVWd+9ycf0axUxwsxIOK64fnUQ/nacEgbecAvO0hSlPA0+bf3gUBcifJdba/Z+B/xfRZPSUyML8auBfAv5J4E8D//jjduBt4M8B/5qIPK+qrwGIyE3gtxIHbMKECRMmTJgw4e8p7FJdbFc/6QOGnjjoNRj7AoqMyxUmuyPLy1Qho4oMKci4SmEyIk264G9bSdL3qu/X5h5FNeP6syesV0tC28aUif5sVFUy/xwdKEin1pBopinJnDT3QlJOiJouPaQP7xUxNgbW0jWTiApDZ46azyb5Z09qjK4l/z68lxK3y/D4riNm0B+FTU+JYb8Gv/aTZPjL4AI2xmlXSPxY6JqWEaGV50rHF+R7q7AR8447s9nuzl0G1IpC2zTcv3+KLStOjo4pZxUQK8CUZUlZVpEQkeHgDHqmkQRoXcP8hmdxkKvRgCkEE4Sj58xoNEd9S58PTuMxi2PDtdsp8M5kUucFYqM/y8Av5jJsBvpB+2tX9dHzJCk0RhxZOq1KpKUkPX9ZHdGrL7oSRANuZ3elKfWB4AOnb3gWiyqRIqBBWa1iqeLZbNR7NmfX+Nzb17vr3XXZ+3LTBHVIBstgkhhjOFgUtBq4X9e811pKNbTNCnfoUQk8fHi63aEniXeXwOSp8g+XEiAi8o+mk/9xVf39O3b5NPBficgfA/5NEfnNqvpXH6cDIvI708fvST+/V0SeAS5U9b9P+/wo8L2qQ86XPwb8APCXReSPEBPz/lD6+R88Th8mTJgwYcKECRPeybhMlbG5z04lx87F9PHq51Xb4+9D9cL2fvuDsj6gGJsU9h90R9+3DVR3rEHvIWtEouFooZYXbp91ZW37cHpzPX3QuA6uNUWsXQDbdSApASSmpGyRM8nvoUvXGUSYsutCBjuNgtHhxbNJR2ztuP8e7Ls1O1mMHSv9T3IteagSyUH6sPl8ul0kxkYQvqtXu6uSDIiUfA7AOc/JcQO6oqrW0bg1KXqcDxwdHlGkqjCb91g1FpJVHSgkhoqcBAOxFu/o2vtrHf46OoORzshVSVVscjuMA/6rgv9s6Np/V6D4RH6YncMtkFJiIvnXE3V5LE3PSqVnS8Y7jS7IFiVFWRBCwLkWqBADbVuzNoHZrEJ0991TzcRTT1LkVKueFNlz3zdImUc1e1aNCh4NgTt3XmV+eMDzt29TFmVMz2oUd17zt3/5Z/i0+Xn+8H/4SM2+NbxLCJCvB/9wlQLkdwMvAX/giv3+APBPAb8HeKwOsF3K9gfTz5eAD+47SFVfF5F/iEiE/Aniu+UngN+gql95zD5MmDBhwoQJEya8Q5G9I3YTFZspLbugXRLDaIl/1Na4nah+2CQ5hqkRm9LzUfrL8EMOlnR//x4F3fkfMZ8/e1xEU1GLsQrYri+60cd8DMg4n3+UeiP9/hssxfaVZZJDN04jw5Z6jKpyCIjG6hpbkoHLqZBxZyQ3teN73Th80N7gMoE++M8kVj5kQELErkoKUQMySN0ajTXEwD5vGyor8vXunSb9PLtsKsnWuOwcAAAKsRzaatR2VnxUuasb50o1YxgG5Bm2p9NGpzJhsEGiIWzXmg5vfV8VxWjeT5Hkp0OIn2FbzbAb+yuGirGJ/AhRX9WRDMO+xmdOVHvVRSJEch5bvI3pndF9P2Z2ggaODhe0s1jhp6oMRlpQ5fDwACOh944ZXNOGOGhwvZu/vzWGYJevUv4cKzaBmJKDw2f5jf/gb0Cx3D8753x5ztnZGa1ruFEec/PWzT1nmPCYeOr8w1UEyHcBf16vmFGqGkTkzxPZmsfChqpj3z6/cc/2XwH+l497zgkTJkyYMGHChHcyuj+9JIdy6d+N1d7HIRQ0tZdOcMmeOfUgB+njc2/tvUFIbPato0w2t+9Ll9mzbTPNZlfAMtzm3IwQDrvqJMrlQdJmCkz/7+6dhoTAiJAYNrSTm8gB/GCFXAC/TWjkdjueQIdkQ9rdDHbuhBW75sWedhlrYnbzD/v0AWxsv4x02IVhu0NibcSWXHKewXiNNmVGYaM/o18H89ZklUXcJSRlh4igPrIVeQ4HnQ/a0PQsDRRCuy4z92lEgeXtY9InEnfxQy7LG1OdJJEje08wHp0BcZDJQB2SGN2+wzu+cZ9lsG0wtXXY+EZrRogpYwCaiKKk6jAWijJeS1Ua5vMSVTg8mO9oK56pP82uObifCLlMoXa5z1GvEsnqLVtUfOLbfy3GFAT1hKA45wgacK7hzp3Xmc+rrTafJN5FZXCfOv9wFQHyItFp9VHwOeCff9wOTJgwYcKECRMmTNhGDpDzavAQV0m9d7RGT2xAH1Rurg73+3VB8iCI2hUeb+X6bxIU2cthB3GRr/MqNcul6T2DNrpAxxi8znHtjKCeTl2QrmMrCMzXtpnygwy+Hx8w9CnZ5E62qIIdhNVOP5NNPmAPRmM2VBZcgn3+KbsSDkb7bvIy+8KSTe7j0bm5p4dHGMsO0s8RI2ZENvSeLLJrmnT6qr5uykDSsSmXAVSlD2iTqir/PsoQM/29iCWDB+kvJiROJafcZMJR07MWn2QFghrQENUkCmgf3MvomET87BrCHc9u15eNZ6qfKtKRH92wDImUnc3J4LshmbFJbPTkyFXij32+JI8K7z2vvfIKiBBEKWyFGIO1hvm84rnnnuXk8PCx230svHsIkKfOP1xFgJwAj+qsegYcPW4HJkyYMGHChAkTJuzD+K/eq1QTu9QV2yapu1f4Y7WZ1E4KYMcqiyEZ0GsHdvVr0+dDdm2/ZNtw+y5y5TJ08boIiGKwl6ZLpJMMPu7WP3QfRMarsTLaY9CHsY5mq92d/IfANt+1c7+xKefeBvtddi+g7ydiBv3u9SEMxqoPSsfXJlcQDl/HSG5HPy4lCSWTHJfPh3GD41+UlLq01Y3h87g5bmP2QPM8izt1Xxnp01/A9ASNiclHrl5TLy/wTU1oatbLMxYnJ5w8+x7UzIAAIfmWDCax6GCODp/52GHGz/qwqz3p0vVlY5te8fxvY/udd+new1fNI6bB7HunbHsexblQlpYXPvBenA+cX1wgIvgQCEHJaiNjrpgnbxPvojK7T51/uIoAGWUjPgIe4ZU9YcKECRMmTJgw4XJIWim9rCLLoxECWy2PgpJ8bA5aBjFjF+9up5tsn3O3pDyfZ9cxW6qNPUHJ1dc4lvW/ce9j3XHDn/uUJsP+7Po86m/+TP9B9+y/D5emAOUA/DHv65Wk0I7V72HFi429UzC768/6TWnHtr9EbG9fSNAH/5fj6vn1VnHVfBrOx11zIv88u3gTHV5Pmguf+ezP8vDiFFG4WF7gg+ev/e0fBRFuHF/nU5/8zq7N+6cP+PRnP4MAr9+7A8AvffFzPDw/RYBPfeunuHHtZjovyc+GnhxJ12OCcnr3Db782b/L+YMHGKMY9ZTWcHR8DO2Skxc+grUz1OQem+54DcnMNG7o+meAMKDIJOVhaVKe5H13kWiS9Sdpv+73R7iXj0KU9n5EsPkOGCtG9r1Hh30ZE7mj9x0QgsO1NSoWQ0CMJfiAEQV1hBDwrr3yut4W3jX8x9PnHx6lDO4/LiLPP8J+3/W4J58wYcKECRMmTJiwA3EJuF9536P6eJQgeSvIBroU/s1F/c4HYY+aY6u9fZ4Ew32vLt27+d1lKpfx95ra74O54bk3CZa3TYLEL7ZSXi5rZ9817SJ+JPd7x36XBe5vZR7kbbsIkHxfR6v9IowvdpMMGR6/txfsVqzkbWbjetO3yui4vm+PHxVeNYZXzYudxw6G4tO/+Gm+/LWXRt//T3/zRwD40Hs/mAiQuPP9h/f5n/7GD4/2/YVf+QV+4Vd+Ie3/IW5euwkm3icT81owpM+qqCjLizM++5lPc3b/HoLjcF7StC1mVtK2Let79zg8PqG49jxCAcagIZWDFumKuYRhqki6LvMWlAc6IB/i74w+bNIgV6nA9m/PLW2+r+J/mSTJJMg2ETI8vm9nkygM3vErv/QZ1nWbPIU0/lRAQ/ds/pbv/6f3jMiEx8RT5R8ehQD5Pem/R8G7h5uaMGHChAkTJkx4SuiC3bzSuoF9QfGu1JdIDuxYAZX0zyiY6D8N1piHJ071IgZS926Rd7Mv8dj83bDfV63Ab/ll7CVQlFR8Ymsc9h172e9XBceZPBp8cykBtK/9q67v0cmKq895VSrRVvpK9zPsID3Y2LcnNLbv/fb1xp9m5AMxPu/uaxDZ3EeIZYr7xeIhIZKJt33Xvw+PoqTpkYJn6eRUiMK/8E/989hUqjabgZoxpUh+wj78vg/xH/wf/r1BVRzFSkzZyqRekF79kZ0+rIktBjzqHV/7/Bc4f/iAEBxGlNKWrNYNpnUcKGgINKdvUiwO0eqEQgwuDVEm9XLqTm+w23t37FJGXGm8Qbpv3W7JT6i7+WP1zGVR5D7Pn23D0/6d1M/P8TUM2xi0SFasbZ5XiKlHX/ni5/mVL7xE8IGHZyta5wkaS2urxnSYP/BH/m+XD8jbwLvIBBWeMv9wFQHyfY/b4IQJEyZMmDBhwoS3h261ErZiw6s8PwatXH2irb/4hx83CI3NQ9ERCbL7vNvS9H1B5lWqENgIWnaMy6gXj0AqPMp34/32nHznVuk2PGpfHj+d6XJFi8IouI4w7D5NHzBm4kP1UebZ8Pjcr3z2RKWl3/t5Oz4sK502vTPidxuKkW6hXkYNiPRzVNP3l9I3A1JrxDNukGn7SLtNHUEuAUzQJMrfmKu6ub+CmPSsm9HzFLeR1B7p99THngaJDZ0/fMDLL30J5xq8D8xLA+Jpg6Kt52J1zrO3b6CtQ8/fgGNLkJNoqqoaiQ6NqS7IwFh02O1EfOZLEUnkTs+QdOO+s+Ryd3/2P+NjVc/+1L/dqTBcesxw3/1E4j4yLx7T1g2vvPIqaCSlhu/mx3tq3wI2JTOPe+w3F546/3ApAaKqP/a0OzBhwoQJEyZMmDBhG9oZdez/8/qydJG42aAa6NagQw4103EbK7RD9O2OiZhOmcLQQ2L431CSvrtk7T41wujaYe+1sRFgj8+5v93ta3u07d33oyA/rpoPw/NtL4TY18sUKbu2PQ4RMiaFNnpgBoGrSiIYNkgNYLfniB0pe7bTB7qTjn7bXykkkyrjextEO0NOUQYkSNreEThDOiMpL9T0v+ZvJH8X9zeRldjZp9QRVNI1IkjQja+vmlfb16uZsAixizF9Je8tkNJP8qMTLzM+ZznNJZ+iO5P2xIik8Qo4Xv/aKyyXFzQtFAa8xio2iuBVqazBNSuqkyP8aoW196BcYJgBQkzo0Hh+EUhqBtIQqmz0V9OTl/ookUNBJRIDZoNE1awkiU1vP6na75sf5c33xWXo5+V+4mSoYNkiStH8httSlAyr/pwcH3F0siBskXSCqD51hca7RQHy9eAfHiUFZsKECRMmTJgwYcLXEaMUmGGQ/RiBcWxDkUR+DEKK/vthm4MFXWEQeHSEA6Pjcn92pb7I5v5XkCCb/b764kiBSe57Xj1/NCJhuKr/KEay+743gxLFY2HCeMwe13di3KfBdUkkDCSFbfnbMeUU/zWaRiTxBFujIwNaQCI5piZOgqGr4HDF/ImmkUhOt8j3rp84ZjDvw3AIdLh6vzXR+hGRpJwgBuVgBx2IAa9RIaRxsR1RwrjNDewOrruGyYqVzvBzNO7xGuNlxKCZlBLUKTuEeMxekiyNVSaPguf+3TepnbJygagjCaCBwgiLg0OcBhRD8B5Rgy7PKY9qpKgwJjImob8CJL0xFEXzc9vLM+J9o38HBMnPUU8ybXp/xJ4nunBIeOSZ25G9u8f7UUxR90M7wmjr/UCmUXNfIlk8InATe1NVM1bna0LQ7lpUlZB+PnWlxbuEAPl6YCJAJkx4m/ix3/C93+gubOF7f/ypk6cTJkyYMOEpov+jPEvfL5eE7w3kuwAiByC7zrWtnoC8KYUuOg7KRrqLwbk3yY58yKMHK+nUO1fYh4EvvQhE8iiN+/Io3h5ADALfUr/6bWntuetjFy/K5efe7b+Rx22bzNHuTNv3QrowMx2bOYW806hjwzOmwFr6vqOX9/syPMpxWRHQnV8HqomN3o1KQuwZr+F3svH16Prz+HT3bDsgjvH4ZSqW/RjOyTz2w3A675W4HPq5nPYwvVJkdE15bATEGIwQA28X8M6xbgMuQCHCwcxSFYYXb91gvliwOKjwbYNzAe8dlULRrDHz42iuqoIJ2ukgRBmNsxDNUfsRHGDwaG6SHlsRe6fsGMxdzc8NnbJk67C9KS/D36N/x5Aw6Z+hSwgtIISQ3gGZjKG/J4Nz2aJANEQDWmu6eSLdeSeG4psFEwEyYcKECRMmTJjwTkP+OzxHPWwQEDt8QIbbOxVGv9jeBeQjT47Bp02bxnzcMEwcmazGDVtd7/e5PCBQ1Y582KfCiKvPQ61D30NNOgVBO6+Kfee8rArL28WQTuh8HHYsaD/a+Tpaia6yTafp2E1USfff3tCzywgJ3agx6GPfWdEh0fLoeCTSYzR34rUYHa7CD4icnBLTHcsG+XE1NDU8prekUzuo0J3/ySDRHQPiZdz2YKbIuC9A6ujACSSReDI4yIgMnsmeJnUhMLMFt49L3nvzhFlRUlQlCpzefchsYQnBs1632KIgeBfJDwRjQNXEVJiBKkyNJWgYEbD5NggDklOjKml4sd37prtvA3JhY8RGv13hA7T5rus/5/PKgAQJZMPdPP4ifTvD+xOvWzq1xyYTIyIURcG140NCdEsZ9HpMvjwtvFtSYL4emAiQCRMmTJgwYcKEdxh2VXPpwsMUAI1VGVshb7dZB8aGb/XcewPcTNTovj7HTuwz0bxK1bLzOzZW2gEksBly7jvXI1/bY/arXzXe2Li5U/dTR5/3r1hL8lYInURh2AeT7nEgsRzsmRNbZMD4u+E1Dn++XaLoM8359ulSwCyhZws015Ld9FjIeOxu9BdlBs9DvkWZQhvRanvn8EbLCm+0NR8uq3H3spBDd9BViRUYBulddRjZ2nt8HOk+DFK+UBAjzKoKaw3PnSy4vSiYFwXzWcXiYEE5n7E+qHjj7h1EDG3jcG2Ld01HoORTCCADv47Rq0U2tTIbg5GJ2sHcGRIPeYC2FCDpN80vkRzl624uZNNLR3Nnu2uJ//XP0qYyY3BRMm4rzghPTLOy/TnSedfLJfN5lZ6zDYowbHuLPHFMBMgTw0SATJgwYcKECRMmvOPQl2Tc9ocYL4bn33NAoDoszZpJk+0UmkcNcDdTSbZIgL3pApurtLvLUO5K4Rl9lxsbJS0MAtrhkvselcSjXNuj4lFIod3n6cmJcZC9m1QZkRwASREyGkPoKp7kDXk1e7T4vrtbj4SrDFzzPo8zlj/8Z36Il7/4Ei9/4SXuvX6HG7dv8Qf/i/94RCIM2339q6/wQ//1n+GLP/85vHO8+JEP8o/+7t/Gx77jk3v5nsRIAYNgPAf6faJQd6juuL6dz81GH0enG/BfI2KFNHMlaTYGhILsmBdZ/bEPeVyKouTk+JijqmRegEmqDlsYCivMFyVH15+jCeB9QAOsVw1y+pCjZxVMThfTHcRdv80wtpEdel5E35gxY6F72tqVKqI7Dko0Sqes2KsOG7ew9d3QvHf4bhmqWCTt37Uy2F8zuQM476jKAqdDz4+UHmhiOdyniUkB8uQwESATJkyYMGHChAnvOMjGfzkQ2BWE6uD7oQKgD4J3pTQ8asC6r0rLMFhDw1bayyYvsquN7fZiqLjp46Hd1SSCZ0OE3gVYEpDBuv5Vfd+qCPG4hIhs/Mzn6Nob77zp+dEFn1shef9REsEVuvu5p48dYcYwdn3LxMdbxb6V8LUGVilI/Mt/8r9lcXTI8x95P8uLC4LCfe+B7eu798ob/Jf/538fYwx//2//x5gfzPmZv/oT/Oc/+Mf53f/2v8GHMwlyWYC48b3sCpoHuw43bl7PQoS5jGxit8a4o+EyIzLg5cYeOQNCbxBsD7ud9xttT5INay1Hx0fMrGDzs6+KMYItC4xYLs6WLC9W2NYQtMW1sD49B9+CsT1RlqvfdJKM+EVWs3STWQczVUENmJRv1KuQxiMRh0AJqSLVtmno5v3Q0T27rCrMo3y3i7iVjesZHDR6cCXtWxQFhbWEECIZofGaVBUflNY9XQJkwpPDRIBMmDBhwoQJEya80xA0BhYDg84RITD6Y34z+suVDDaVBvSGfaLsS4jYt9q6azU8BkGbBMw28XDV72nrSOPR75eDqIHvgRpy5Zcsn+9Sg9iKI3dez65rfVwlQ04xyvHa575Wd19JH/FydvaQv/yX/gI///M/x9npQ05OrvEd3/ld/BO/9bdzcHAYr2pP8Lsrrr90RXwjQM34Ve9bPPp1PeI5d55/c3vqxEo9D4JHBX7gP/mjXHvPswD8N//GH6Vd1zxUlw8Y4a/8iT/L+mLJ/+o//re4/aH3A/D+3/hr+W/+jT/CD/1n/1/+mf/HH7n6ng3bzCqEwQBvjbVsbO/GFjCWubHdr6PHMKe5sPFFuhmbCicZfDcSMm12X2OZ2k2IEQ5PjlnMChSDC8pZ3eDOYoUiW5Z84VdeYlk3zBYVRwcFIXiQaIk8fH4zBwPg8zOd+zqYW50XSD6sZ3u6z9oNpgzmo6AhMHw/fb0wVIuo+vj+GO/QER097xxAhewvNF9UmNJiWlANtI3jbNlwvmxZtgGRpxxWP+0Um3cRJgJkwoQJEyZMmDDhHYaulOZGesh+OXh/5NAXJO6fgjXNMu28+hpi3JX/6NdBwLOzU12dCPooZ3OX/STIcNt+MmSPIiPHX7IZIO7oj1yu8hi1u3H+t+QHMpQO7JARnJ2d8sf+L/8eDx8+4Nf/Q9/He158L6++8jI/8eM/wuc//8v8H//AH6aazfaKGPb1aGNoGFWB6ST9Y3Pbzf7HdnYQWzvG522rZbIUQqQjP/poM38eD2BbN3zpp36OF7/149z+8Ac6LmF2MOdb/5Ffz9/6U/8db3z+yzz/8Q+N+8busQTQTiWVJ/xgcm30tydEBiTA8FpgnD4xvKbEjgyETenbHSaznRghjo8MP6sig9IwMthfxDA/OGBeFnjnCKGgrgOv3T/l/t17/Orv+Faevf0Md157nePDQ1yocd6xEIMxputFtJcRDErQVHmnZzG6OTWw6CBxkP2GwbVtjv/wd9WBqTKD+T0SjozHe9f868ZrB/btPzxON/Yfz2cdPB/x+1wJ53xZ89rdMx6crfBqQAzGWIydUmC+WTARIBMmTJgwYcKECe8wiDG75dpsS77jH++bWfowCDkGAYjuVGzkSOQSq8N8wtSfrR4zJl8ePUDuU2nG19RdZ9d57dJ5egPHvv+b3MOjqDl0YyweJcjfUtV0jfVdqlulbjwiwg/9pb/IvXt3+V0/8L/lO37N3w8Ivxp4/r0f4U//if+MH/rLP8Rv+i3fP0j3GfRhsLqeyYNLryeEdIvjXJgXwqzsK+1cNgaXbdtHZg3H41GgxCn04XKRiDdDJYKK4cOzQzZCYl764iv41vEtn/wEH5kfIvT+Nu23f5K/9af+O8KXX+Ujv/rb+xPQN7FFaWgcXw268/udfVaFEPhiuxxexeDz8KNGNmG4bXCSoadE/jx85kZpGZ0HRVKVpHkQUCRE9YcqVLMZJ9dPePWV15mJwSI8czjDeM/Fw4e85/Z7mLmW+ckRDy4uuDg/x85miCnJo6D5vZDIj5DGqbthsXOJBM1KLPpnc4txyhv6jSEEtDMr3higzTHqiDEdbBtjk+TclwqzLw1m1xzvS+L2l5Gfx+A8L7/6kK+8fg+PgMR7oSEQVDGbqpInjYkAeWKYCJAJEyZMmDBhwoR3IC4zCd1zBHnlUiSkGEpQDagaNn0Ot5QaKSAb8g5bMoP0yzhIySuo497sUq+MzreJIZ+RAz4ZBF/DKEnGK9PD69k+R5b7m9H3+Zh9pMdlhp/jTjPuG1A3gbNVDIR/5Zc/R1FWfPAT38Ppsi+h+cGPfxdFUfJ3/vb/zHf/+n9iq8VHgWx81hSQddsWlln5GA1egu6ebGpwHpEI0S4eDoQUwA/nZOQNDHF+xXF68OZ9AE5u3YjBue3v4Y1nbgHw8O6DTi2VIYN/GcwDEfAu4L3fqRLp+IkowYir/tp/HlNUw38ZPA4b5NwAl6mStpDJj81tXf9ie+V8wfs+8S3cufuAs9rxgZvXuHHtiDt37lAvl/H5F5iVBYv5jIfn51TXn0XFYiQpNlLuikhfBSZfWMjvBNVOJCPdFMuJaZtSkGwu2jfkg0s+JYPrSKO5NR46Hr9dc2zznbIP+9QgQ6I077fTKyT9XLee1x+c4ZTor2Jst7/34alnqMhkMfLEMBEgEyZMmDBhwoQJ70Bclcaxve/+9BNBOwn3pefKQd5AdbG/Xzloyufc3v8y1cGWogCQQRpCbC6XCU3GpykwGvqB5BBlr0phfEH0SordxohKoPMWGWArwM/B4iDIi9fQnyZowLkGawuapiX3JP9ri5IH9+7w8P59FgdHg7713R0usGcCIgauae2+567Q4LHGRKKgux+baoVNomh4ocNV7F3kznCbDsZvbOypOrg3+TqSqmC9XvH6+RlGLMYI3nmC9zy4ez/uo6FLO3hwNxIgy9Wahw8fcnx83GWj5LSQ9WpF27bxfHmQhqqFfPLUkeXFBWfnZ93lmI3bGkIg+IAGxYcQUzZEaZ+5RlVtsEnDSaJZzZH+k41Uj81UmU7lEe8jg+C7G2XtfXFUhulMA4mLKbn+/It86tf/en75s5/n4cN73DTC4dGCi7ML7t25iwrUbUM5q3hQw+d+6nO8//1rrl8/4ZlbN7DWIChlVRCi/AOF7p0RK9Tm9JZEeAhkRiRv62eHpMciPxd933VjXmxCB+RKxqOqjC4zSB220ylrrjh+SEKJwLWDOXfvnSJFS1GWFEUMpYNGUm3CNwcmAmTChAkTJkyYMOEdil2eGXB1QLCphggpALwqL74jNkZcwTYJM9w3L9Z2odkjBCv7FSCDkFEH152C582UnV2r7FsKDZXukL6fmbzZJppE+u8vxc6h1CQYiBUv6nXNrJpz/+4b/OSP/RDXbz7b9fvhg7vU65hW8bN/569x/fozXZM+rSqHNAbGCtYWmEFQ7b1Hg4+VNUL0dvnQB9/Lr/rEx3jjwa7O5dVyunu3fRuG162AGREa/dAO58I4ltylkMnHh+BxTUu9vOgVBsGjGlheRFIij79IbzLRrFaICM615Clar1YAlGU5Ur10n7sAXaN6gUjuBe/xTYuYSHagYJLhsGpMjwk+4EMg+HicNUJQj2qx77anU/aVejYJyO7zILVlVxrMaD7my8jzePN+KbTO8+DBBV+7t+KXXn4TszxlboW5DSxXNbz+Oi9+8EUWRwc4Ve4uHa/eO+XVOw+wxnJ4dMjJ8TEXFxd8+EMv8slPfITC2sEY9icbPEnjT7q9+3D440UakHCpl8U2/6A7P+/bJ4/tVfuKyMhU9lFSvqwp+MSH3kPwDZ976XVq5zvSV2SbMH3ieNrtv4swESATJkyYMGHChAnvUOwiH3ZVT8mh0r79NC6tv+Xz58+9L0e/KppXg7tgbU+Ky6N4cvQny0HjtqJjHBzqIKDfPl/UjZs+wFRQGVSTSRexM41DAujutJlRR3dBYxDtfMuL7/sQr736FX7mp36Mj3ziOzi+dp3l+Tm//Is/g4hBNXBxsaSolohE/wURaNqAD/GztQVlWZLvcSCAa9GgON8SnAOUtn0ursQL40BTQXVXwBfHYfd92fQOydFsGPx+2f3cnLtKCLFUavRZSIqHtG/XhRQ5K8rhtWMAVucXzMoyyQPijg/vPQDg2q0bO047CNYzeQaR3AiKEit85KDSSPLcUdBcIcXEeRIcQwHJaNx69KlNGh1F6Z6IAStgxHQ6ia3UjAGTNJprWQWSB0ji1a1WDV/84lf4/Be+xGuv36FuapxzGAKfffUeH751yLXjA46ODjGFZbm8YNXCnQcXNK1HTMAbT32v5vT0FIBP/+wpdd3yqe/8ZFQZDdIuZHAhIjntZcB8dHv112SSEiYET2FtpwLaF8xLviWXECH7tl2VDrP5boy+SZksGf63a38QYyhLy0c/8Dwnxwt+6Yuvcv9sjdfwaClNbxPfCBNUEXkv8PuB7wK+EzgEvk9Vf/QRj/8I8MeB7yO+UH4C+H2q+otPo7+PiokAmTBhwoQJEyZMeIci/2GdV6d3fR//kB8t1W6lwgyzAvYiBx8bC81bgf8gUA30Aezmubf7uR2A7yVEdq12b+0vo8Bwt0rGMlQhSJdKwyDayvvTB8aSS3pqPyhb17KLiIojEgM9j/eBa9du8au+7Xv4wi//HD//6b/enez5Fz7EweExd++8gjWWEKJpakiSGiEqE5S4eN4pS5wH/CC9J0rw+/uwuQ4/nht9X/ufm8HefmJj2FZPUG3PzV0qkBj8ZrPJHOl2rYVU7UTTGCM8+8Jz2KLg5V/5Mk1TUxQWYw1iLC/90ucBeO9HPzAKfmOAHRUxqoP7peDalrOz087oslP7JBVGPj8mpX8YIUiLGBOZqZEKZvhMJRPi9Jxpl+7Sj1Gm0mTwgG3N/2HjGyoQyf8E+Owvf5HP/NzPc+/efZxzvcpLwKvhQRtYNp7r145pnfL6K69jqhm/8voZD1cNGJMqvQS8j+kb1hqMKXn5lTf4yEc+wK1rJwT1aW7tmA9b75M8N8bEjm7MhRH1tvO9sH2uq6q6PM6+/bsxwKVzeNBrhaIoO2XPszdPODlY8EtfepWv3XmAc+HSFMMngq8DybIDHwV+N/AzwA8D3/+oB4rIbSLh8QbwzwEO+EPAj4nIp1T15Sff3UfDRIBMmDBhwoQJEya8Q7Gvqsp22oZspSJstES/2km/44CIyAGbqHT8w3C1etTW6NdBvzbazP3bh8tUIUN5+U5vk2GMPzjP9r6bBEkKekax5gZJoIkH0Y2TpI+7lDbd+nGI6S8aoplnUOXmMy9w85kXOD97iPMtBwdHlNWcn/vpH0NEqGYzQghdVo8qBI1eJ6SV+JAqaPjgMCg++X3k1ewQfNeJznNhpPzZJiV2jPreOGv3bcoB5HCctuQSkfjIaoyUHoT24xu/DQh2dFw5r/jwt3+Cz3/mF3n5i1/hw9/yMVQD64slP/k//QTPvOc2L37kg+NUMQVNq/uSiSwAA4VCUViyWWxWhgzi4JgaIQYlYABrLWLMqMZST3BsjBGSfENSyWkRhmVf2ZXO1t3jPH/jLcsaizyHcyv3T5f87Z/6DKdnD4kGx/39yVzdmYMvnDWwaJkVlgcXa+4uH3LnfA2mSNeQiY34XvAeRDzOOV599Q43To7iox7iAIUtsnDz9g/JC+2/GozVWB8yGMsBOTnmgLbJjMdVW+x9L3Q3frPN/jqG9+rWM9d56YuZZhRms4JPfvRFSmv44it3Ce7pEhTfoDK4P66qtwFE5LfxGAQI8PuAG8B3q+orqY2/CXwJ+IPAv/Jku/romAiQCRMmTJgwYcKEdzi25du7VA+D4GNAFGQFSMhECTrctd8v/6sDw0Lpg5hBbzqS5Kq+7tr+KP4lu3L/Hzl9ZuOc47QW3aH86CUtHZUhfbA2Oqv0oVz+0ZNK8dCQVQ706RYaAmoM88NjEgtAXS9Znj/k5NotjLGUBCoJzKsCL5aH60Cb8mG8d10XQvBRqZKVBWIQI4SgUamQL24k7YfNYG//eG4TGPG4nugYk0mXEyu61R/hl//O3+Xs/imKsjpfErznb/0PPwrAtZs3+OSv/RSqihHDr//+38xXf/mL/Mn/63/Kb/j+38L84IC//Vd+jNO7D/gX//D/HlvYrfspgwB2NB9LQ7U4oFkts6RiIJIZEmbaZ9uIjKxhL1uJj+dz0URVEhElg5mVCSnZXXFkq/ku/aUfzS99+StcrJaROAixk3FkkwWrCGqUe2vPg6/eAyAQMGJA+isJqrEqS0eSBZxzLJdLXvrK1/jAe9/DfF723MZI1SHd/eynv6R5aSLBlSicTAbl//p71c+lbizy/dgzxI9ChuzzDdma94ktGlA13X49P9zfn6KwFMMSuQhlYfnoB9/D2XLNq2+e7e70NzFUh0lQj43fDvzVTH6k9u6KyF8EfgcTATJhwoQJEyZMmDBhiMsC/n2rmkPVxHDfLI/v4pghobLxaWzeOPgwyKMZhR1PeGUyhLBT+TJMc4jbUpClbF1v7nPmOoShoeou8qg7G3mgYny0sc+Q9dkgQ2KgB4SktNFUBcaDz2oHVXINm5c+/wuoKh/40Me4MYOmrmnqhkOd8+zJnJtVwVdOG5bZCCQkZUgIqPcYa6KnREobsGKx1oAq5qmUzHwbN3qgQhGFX/zJn+VrX/jKaJe/8Zd+BID3fvSDfPLXfqrbfvP2M/zzf/Bf58f/3P/IX/tv/zLeeV78yPv53/w7/yYf/85vZVyGdfO0m+RPP6clqzwGypE4T8CTg/t4z0JqY0+GRmowns+HgFOPwcY0k0SuBMCEgCZCJadMBPWgQz8UEDPwrUndDwp45fU33kzXEghBMaYnEHo2h07VJWI6lUk3FHkgNp4b1Za6Ftp6xXJ5xmJ+s1MmjS59pICJ9zQSfwHUj95PIaQUneA7g9rdFNv2tk1fj33pLT2p26fkdceMWh8qlIb+Qf15MmEjMvbAMVJ0XjHDPhRW+Mj7bnPn/vmOK3qC+MYoQN4SRGQBfAT4Mzu+/jng94jIbVV94+vbs4iJAJkwYcKECRMmTHgH4pEVE3GnzS1bq8tduD4iTfpz5Xb6wpuDgzZSRjZ6SlaSDOXsl13XPj+Qq44d9h/Z6UzQ70ceGwbBpAx+bESzG41d3vr48K2gLAdSQWmbhp/7mZ/g+q3nmM3maAjcvfMKF+cP+cTHfxW/5qMvcvpgyaqumVnDbFZixXDNwAevz/jluys8FmsMzgdCCDH9ZaCsCCk/wRjbqXyyckfRrT7uSk/al2K189J3BKG7jh97QfRj9jv+1R/oNooRjI39FiMYY7v5nD05Tp69yQ/8n/5VjDGdf0c+fh/5Meov8V6cnZ2zXq8xRjq3WTEGk9QLkkgBMZFwCtmRlqvOk+dw/BxCiASZMRBM0kXQ6XZG/JQIkp4/zWMXAmJsrzASIBEeq9US6KsVjbxtGBKAgjUmjXtf8SiXbxaRSEikMcwt3D6Z833f8T6uHVc03qHBDzREPQHany+SMR2NoH2qnRiTjGejCipo6NKeOg3RYP/YmSueu0vGPhv9jtpMBFTeR+h/73fYPufmMyACxm57MYkIJ0dzThbzx+z3Y0B56ykw8bhrIvLg0t1Ur7/FM+zCDeKg3tvxXd52i+gP8nXHRIBMmDBhwoQJEya8A3G5P0Y2duwDtB7bGvLuj3bdDmBgGLzuCnH6VnvJeB/9by6KjyTtgzScq3L3h0HzvmB8NB7Zq2SHUWnX4/TdqIQuENerzUANkK9rd4WTHIRK9136qTtUBnl8lBj8KcwPjrh352u0TYOxluvXrvOpb/0H+Oj73oP6FtRT2hjc13UNizlBlWeuHVJVM5brhjXw8v0mpcBEVY+EkMp5xoDPpIB3qwrMjrG+DE8k3Whrh35WhqQEsBuERk6BEARjYmqPCy5WESmKNNXH83t7pm7LNGJJ3XzdmY6IJIJBMAI5PaQzQ403N7Wow1NuX9ggCA8hVv8RYzBqsMam6i/bWpV055IapR8bI0JIqpSorLAISl3XXJyfE1rXeYaoBkQjcRS6EsBJ1TJUbXU/+/OHTJAFRY1yUhn+wY+9hxdvHLPyLUrVjYMOyKaoCsmpdWHQF/p0OwSjvR9KCCERJf0bZvdzuzk/U/S/QYzo8N6kc2sYEkA6vDWjY3JaIARUYyWmfnt89jdVaEEhyG5D6cJaTo4XW9fxRHHFM/sOxdWs4TcAEwEyYcKECRMmTJjwDsNlJMA4OJBu1RX6P+w3jzfSVxfpKQ4dB46dsGJwnoHKIscffbzfn5MBwbGLrNinNNiFRwm+Rx4Uarpt23n+PZExGpNc3nao4JC0XcJWSDZMuRmiD8JC/3unukjlasXwgY/86u7Iw7nhWqW4dUOzarl244Cmddw7PQc1mEWJSqz84+oW1jXXreEspPSXpBaw6VpCUoDkKxXAPGZocSXR9hawRbJIJob6FIOOLIMuI0NDAJNX8U2cW8Hz4N5dZvOKopxFkkSk8z/JZ+pMPXddg0JRGtrGQAj9fmms476xD1YM1lqCpv7IyAVklJqhoyDe9CoO1a6KisVQGBPVLZrmReqvsSaVUu2v33dsW5q74vEoF+dLrlmlOrDcX3vWrXT3vyotqkJQ3/UmhF7l1dF3Muwv2KLEtTUl8OGbxxyVhtB6pHBgwzZtk5gGldh+CNEvJatneq414IN0ChDnPYL2firD+dGRGxuMRUdiXDYHewKwGzbdT1j16pB87zZ33PXejc+XMRLfD4PrzIdcPzq4pI/fcDx8wgqPq3CfOLC3dnx3M/3cpQ75umAiQCZMmDBhwoQJE75JsG3qOfjYERcbX6Qd+0BmsIK+S0GSiJIcNMa2x21t/qbJt2OTpNnl5bHv+13Yd3xuY3PbZefrcv03AsKti+kpn/E+nShgO72jv6ZxmU9UCb4lrjSDFY9fB2pnaJzjjQfnzBczLi5qXIgZE9Wsomlbjo+PKMqKa9dOaF1LUTccPay553ysMBPrmMZgNKczGdkb+F02dpcRVJfdq11eNPvON0TeP1aDMeSpFlLgqhrStUTPlOADq9WKk+vXElmRqB7ZuGWkX7S/d51CyAhHh8eENrBcnvdKBI3nNYPnRyQqN4JRPP2Q7jXYHJw65ZeQA2xBURHcIG0pqy4AJPQeHV12F0oIsbpPnjsaDPN5yfufOWbhLdXBES8/WPG5V9/kdNUSfIgeMGHYqzgOxvSyhaBjFYOIYG3JQjzHRSSHVD02RLWGMYJPlWDUh0Rs5BKydNehGlN5YhnoPslHVfHeE7zbUsBsyDNgx3djLciQHOmfuXwd8XI3SxVvprJI10CXFjTYN5JzdmNfQARrLUYsQXR0rAhcP6h4mvgGVYF5S1DVlYh8Efi2HV9/O3DnG+X/ARMBMmHChAkTJkyY8I7GvlX4zaB1HIxuBLGD/+1tfxhbDDiSbp9BAshYTTEOgPcRIfuC4F3XNGxjuO8+guORP4tu0R5dX9E+WB5yIPmiN1NiRp9zRLkRtGnyPvCek6MZJ6VhedFw73TJwbxkXbdYazAYfFBc8Nx7eE7wgVvXrkEIuMZRLWaowDOLijfPV1GSn1UMPsTzZRUDW9RNDKAvUXPsVxhdTjw9kjpkSwkChEEKF77TBciAkIu+JjEAnx8sMMZE4caYYqIjtbKKZ0SACCmJhFwWeDarCH7Ban2RzhrQYFCzcS0iFGWJtm0M+K8IQPPXIXiCD2ClIwYxgBgkaLxN2j+PRknX77tLETFE1qGTNHTPXWELpFWuz0uOnqs4KOCnvvg6q9BS2jnWWrz3o/toROL8SITSsNfeO6yx8T54j28d6gNYEA2ENNdC8Hgf51yI0hjQlM6kuQJRn96Uk8xC2ie4No2rDubEI8yfPLob7yTIJMTgBmw8l8N0POjfQ5KUbWnUx2fS7WcgEy3WlozVKj1m83EJ5yeObyICJOHPAf+aiDyvqq8BiMhN4LcCf+ob2bGJAJkwYcKECRMmTHgnQ3OlE4C8ynnlQennMGjPh25FEnsVAftIikczOdW0bDkmPzbJkrhRE5EyTjXI3xtjtvs0DHZToCMbx+YyvoZMDuhgVMZBfDcuQ4XIxmXmxf2tACkWve1XpNP3Pig+eETg5HDG+v4p1w7nLJc1p8uGWWFYLtecr2rqNoDAjcMFN66dxP4Hj3dgnGFxsOD97yt46eEF66aNKpBEEqgSDURzysSgv5ur4bs+7/Je2bXf42J0bJp/vaooV80BTDKNtX051JwaUx0suH7tRjc3omokPwSD+zVQUAxTVmLNlT5oreYWxLBaXaRYNnt+5D3GqWFGJIoqpP9+iLwyn3/64MHVlJQbYxBwYrBitgJ1iIRFTFUDMTn1JPp7RA+SEBUyRhLJ4lnM5tyclzx3UPHlsxrVgDEF2Fw6Oak+QiL38qgN+YSgeBzWEpUbIZbXNRrAtzgNScERzXfV9z4jqtqnZWXiI4TM4kRxSC5/S0/E0vUEOvvWIVGR/tXQp6OpSkccgXbZMXnch2lJsbltQm/3e278ztl8Nw5JFmtseqY2nx2hLEqeJr5RChAR+Z3p4/ekn98rIs8AF6r636d9fhT4XtVRrtIfA34A+Msi8kcAB/yh9PM/+Hr0fR8mAmTChAkTJkyYMOEdiF51kUmEtP3/396fx9uWXfV96HfMtXZ32ttW1a0qSSUkgYQlDMLGphetY/zoBDYQY8Ao8cfGvGf72fAcEgLGhCTGxATMywsGB6zk82LHIAhBtEE0L7ZAssGABJKQVFVStbduc7rdrbXmeH/MOVezm3NP3br3nlPF+JbO3Xuvdq655tra4zdHI8m+eB6z8DSG26Ib+apkqN3Ent3j1+JG3c6FdanKROvMi+dpX2NYp7x34iFW4kj5IXAwn874t7/8Dn7nne/ixrVr5HnOpQfu51M++zP55M/8dJzIgknVEouku7zL85h9boVLBENeef1G28BdFhY0bue9J8t69Ps99oqK+wYZ2xt9Dm9McF7ZO5hyNC8oge1+n4cvnmc0GtDv5VSF4rKQj0IFBoOcPGsZchIn4jUkc6ytW12+b8de4fMUOY7P6dIycqP3Qr1t+ke626e1QjKgm/wgZVFSVhVO0ox+PEMVhKUqGt+hr6NBLanMrII4XOYQXNhPlaKYA+CrCvKs1ZLQdyG5LrXiFYzg1bWFO5WRJRwz2P1aV7GBmPA1yxDJOya3CnUSUR+t3BABFPOfxDalsrn5YIDfd5RlyWAEWxsDNod92J9Gr5kKcaEkcqi8EmUHbfom3EPf3EfvUSdUVUVRFviqJBePzqfMfB7EqSpUcUk5NJLHR1U1CVkRASeI1gOTdl6c0Jb2fdclQaFe2xE0pL536TQtCezEdMeqsOgP1mSjadqo2oiDKVfMsogiSHaXPUD883tG7yCLpWy/M74+BjyybidVfUZEPpMghLyVoDT9BvBZqvr4uv3uBSaAGIZhGIZhnDHqPBMoqYRl4rjyrJ3koCc0gNtbdg2RRS+RxZN52klGG2EktFlbxm/tYbDYpoXmdsyTmNzyx/7JD/HYB/6IN37mp/HpX/j5FLM5v/PO3+Rf/+iPc/XpZ/gLX/2Xlm1qVi1YtU7ab1v+IU1ZUI3TzMHI840h1rK+VpsmTS6Cqqo4OJqyuTMEFWZFVRulR9MZVTTcvVcOD6fkWc6YKWVRMuj3KaoJN8YzPvDUNfYm8+gdknJmRMNSlSUt4nlyO0lPl5Odhmtv9UI9a79YTaUZrimvSrNPOta8mPHcc8/WgoDzJc996AMc3rzOYDBiMp0xmU1RBV95ZlUw0r0Go3RzNOIVr3kVWxfOg0YPDdU6xCblfWiLjGhT6yh4gMjKe7zkDYIDhbIsqaoqJFKNuTS8y8j7vVB/RlxHxGpb8yFsBnyskFMPs+jpNNjc4OiqUhUF6iv6/R47o0HYx1fBC0STJwssJjH1HWEhiTYe74VZUTKfF1RlCAwRrVDvQqJTTR4eVeqi0E8+hRg56mef6ElC2qf1fVY/NCcz6JsQltaXhd762+1Wop5C8BSqn53oceLaNyRsmZ6JLEvJclcINi/w2TurLHh1rNvmTWuWfwD40jvdpheKCSCGYRiGYRhnmJTSIyRKjO7fJ8jlcBLquVVtGxogLhkA7TADBXUo0S09uuYH13rXMgqigKCp8c3MbVjUNh6Eerpdg5E5U5hH1/+nHn2MR9//Af7UF34+n/81f4lklLzucz6b//Hbvp13/sqv8alf+RWNZ8Fi3xGMLxfDYzQZnCtZnA2O/yYvElV6KIPamGyVzNXkOUPrNRqH0ah99toh50c9xj0oxdHLHJX3TOdVHeKkeGZVQVmV5NKDTJj7ktmk4Hc+/BTjssKlmWYhGJnamse+A0bY8d4dq+nkeNHGOl1phMZhlcZeMmg1je0YjpKiWDIJSVLFCVqWXH38gzz16AcY9DO0OKTf67G5PWQ8nnMwL6HwnN/ssT+ecvOoYj6ZcvA7v8PrPuH17Jy7gFahMktod/CSqHQhzCpzUYzQOMZXy45LVZTSdXuPtvJPeO9DgtAyo9QieC0pOJc14TeeuoKLc1nwygBwjScHXnHDIYjDF3O08vSGA3a2RuQCc1+By6iqorl/It12qrbEj/h8xgtQYD4vKIqCgYccIavDg3K8LzvX71v3N4XrUHusxPYTPGqUJmyltROLsR3rhYvWWFkSZ5cTE69LVNyEvClOkrATR2NLvEuiWNvjLZOQ6PX5+57cAU7NAeSlhwkghmEYhmEYZ5j2rPmiob/OQF1MIrryuMk4kK6HyfJ29WadmXmUjjGhSaQhGh4itEpSNFdT71crC7UrughMvbJfKi6H64dHAOTb29wsmvKeqtDf3KQsCvaLZJS1ZtPj+8Z2absddFskrdl915otD9fbtEu9ZxPPsJdCKboHa5wHtPnzaYYcygpuTOHmrKAqlXNbQ6bTee1EIyhlUZBlwmA4oNfvsZEPGAx7PH51n3EZhIXkSaPtUq40M/6tnm7dQ70tYeO4XDCrtut0hnT363gexBiGFK0ThooHl8VtgvjgsjS+Qn6T6fiAZx57lKKC3Ofs7l7kykMPBC+ZyZTZZEI5L0HhaDzhDz/yNAdFhcw8H/yD9/O6T/wEJOvFMCuiJ4iPolxzre2oJsF18kAcR9o3eWwk8cPF8aLqqUqljMfKe0oWS+d670PyVMBlnjzPw/30PiYhjSElAuQ583IWPEAGAy6d32bUz5lNyxBeE0WTJI559XXISvsWBU8XXz8DqkpRVszGM7bOVWSSh5CeKGyEdiS5xIfnxQVvJPUKjlj+t9VW7YbE3W5OmXqvE2gPx52jfhZa9zj1Q3ubWhyqv/8E3GpPoHr9XeTFVAXmrGMCiGEYhmEYxhmn5fwdZ1G7M57dH9/pR/uyN8i6WPvgw9E5BMmkbhsCyfZYDLfQug3aEkZW/2JvV48JC5oZVY25A4qqwM8rzj1wP/3RiN/5+V9kY2eby694hLKY84Hf/C2ee+xxPu2rvpL5bJpa0Oqv8N6HK6CeZNd2lZoo10ShQ0SaihCy2s7SYF0u9NOK96TzxeSPsXllWcV76Nnc2GCzD+PJjCwLRuRAhH4vRzJH1s/p9TJ6GyOe2Xs6euu71lVqukNAyBkhzi3Oja+957djsDWiWful3VPNiuVqMktHq/9rwrxCR9V5PurQBKXyBc8+/hjPXj9gYzTgge1tHnzoQTYvXowdnJGJUPVLZuM5/Sxj2Mu4MZmRu4ybN/Y5uHGdrfMXQ2hJ1lQtCRVmgkjQyZPhtRZAVrmANHkpkiiQxLLwuSzL6NwUx2MdRuJDmd0qiB7pfO1krKjW63zLaFcEej2q8RgAl2fs7m5zbmPE3vQAr56MrK760j5e+x7WZ4pCXn80iolQHZPJlKoscf08eJpkParKU5VlLWSJBg+adGivinhthdxoIyRFlUshevos92SriavRNN7bi9aLfJ1rXTnWg+dWO2fP6u0WzhGvLYX11Ee7ywLISUOGjFtjAohhGIZhGMYZQ5LburYsTQmGYrK/20Zs+4d++4d82zX8+cy8ts3ZILYkgylM2a+qGtJNnFo38hbXSUtYCYZFVc+EC6/a3eA//qa38DNv/Zf8yv/0L+r9BsMhX/M3/hM+/o2f2Dpnc37xnunBPkc398lwbFw4x3Bnm8rHa3EOJ8lIpKsw1Y2r/+Gxaay60grzSCJT6JLa0iPFQjR2X8qO0Mwmo8LNozmvuG+LPBPG4zlFVXBuZ5PcuVqoyUdDphVcvRlLtraSYqbOq++3SKh2o759AWtZNR7WVYNZXhYN3Jb/TGeef8EwTU1ORmzddepJ7hga3CBCKIqEfChC8CpQVaYHN3j6qaeZltAvK648cJnh5iYuy/BF1YheGsoJo8q5zU2euDkNeT88XH/uOQZbO/R6fSCcq6qqOrllbajHWyk0AuGtvA7qXuk8B+lZ7uJaXleLCUpFJIbIKF6r+n19j5zD9QdUR8K8DCWER6MRu1tDuH5AKL0cEqHW3kxt74+WR0Y7sSh5RjbooeqZTKYU8znDwYhcPDMfxQ9CvSMAp8HDS32TgyaN+zrESbvjbOX3kLaHS1fIjFfc9GXTrZ1jrv4eou7/xc+hQpTWYlUSVhzBZ22tZ50qaIlqkwtksfqMcfYxAcQwDMMwDOOM0VRHgWRU1OUeo83YDetfZbSe3KBdNtGC2JLEj3Uzq2tnWJMRfqwN3ggCGpOLppCEMCsfSk72BwPue+gKH/cn38ArXv0qJuMxv/mOX+d/+5Ef42u/+W/wmte/LuynoYpMefMm13//3zPd32dvb4KbV2QbG7zsz/wZtl/+cGyXLLQtGlm1sbq4vrnuxTCgVo+RKl6kFb5K4QWtmXFVvMD+rOLR6zMu7Oxy+fIWeVkwqAq2N0b0ejnFrEDOZXzosauMZ/NYBCL1NzgPEHKytMWFVfeJNZ4gq2awF43J5cpAvmWnLp1xudNWoOo73dvOQtEyl0Pohhe8Lzm49hzj8RivcGl3k3MXz5MNByAOXAUCVRW8iFyWkfUHXLrY49zNMUezMR7Yv7HHpQdngJBlGZkLz1mWZVEESfdPko4FC209jlS6N35qPDsknK8eC+0KL/W+NMJWuyclJeON3wkuIxuOKBGquMxljsGgH4ek4NXT9hVqe3905Jn0/DqhKCt6W+eZHVxDBaZHU4Zbu/RcxsxTC26OJMg0/hiaVA9orhkBaY+7hevqsDxum6S4jffZ4gip+3yNl1P7tfFki55mNPld0JinZI2YkUSTXr+PVyiqinkVy+Iq7GxtcXRwc+WV3SksBObOYQKIYRiGYRjGWSRoEHUeizTPnoysZN4cZ7guunUvzsbWtMWWOkFkbEAd9rDKTaJ7vvbxVrFOkKmvLhk8KE7g6Y8+yT//3h/gi77qzXzKmz6rPsYnfMqf4ge/47t524//z3zLP/ruJmxhXvLc7/07/N5V+pJz324fZjPGkwmPvfNdvPb8OfLtLZqrpXbNX2jJ8mWubnJjkCXjKYkNGmvG1N0XvSW00Q+ms5J5JVx+4KEgGs0n5H5OJsp8Ouf6zSPe9+Gng2Efd0ylhqu6EeHmJd1F04dWaNFJWHVfVpe4bQ2FExyz2Sv1qdLu8WDctgzP5EkQxTBBqKqSYjqhlwmZg17WxzvHc9f2mM3m5E7YGfSofMVkOuPG/pgbNw/o9XJG/R5HUw1VTqZzyvGYLMuD0esceZ7HPgrCRDtZZ+P90W3vOpIHR3qfbo+LFV0aoYoYmtVSMluJRuo+qb18GiPeOchGG0wlAw3HRmBzMIgCS3C/8N7HyjnxnGvaLS4Y97N5SYHgC8/mMA/JdpO3FI48B+9d8M5qWeMqQvI1SSJSuo+1rFUnGqVzPev7cbWo0eY4sWK9IJJC91qhS0nwusW5VJXxZM4HH78KZFzdO0QEenmPc7s7HB3uHXuMF4wJIHcME0AMwzAMwzDOGlH5kI5nwvEzneuJIRkLhseicBJmQxdKqYpH1cVZ0nQ+6tn/9raL3iDH5ZnoehaEY9XhEfE4XpXf/JVfoywKXv+n3tjaGQaDAR/3Ca/nnb/ya1y/+hwXL19GcEz3rqHT6/R6Sq+f4XoZs+szvFeO9g/Yf/JpLnzcq9uHWni3aAy1hJlaT2gbcmm7GByw6CkTQ27qMrWtGew0+/yyhx7ESYaqMHcDtDdgIHMofAjdSPJBcqqRlGgzmZdN88VJ3a6TaBSr7llibRjACY677lz1rfZNo1VTphZpRR01CURRR1GUVEURxIyZUuEopnNGCDqfcXQ4ZfO+C4jLee7q09w8mLCzOaCX5xSzLDitqFJWyvjokN7WFqiLlVZCfyWxBdfylvBNOzreP2vphrG46J3hnENiNZtUnNY5RxaXtwUi1RCZ1a3gEpOjioOsR2/Qx+PwgNfg8XFua4QToqcQoIqnipVZ0nnpCpqtcJtBP6ccjxlmOds7mww3N2PSTyHLc7LYtlSRpj1WUv+kXCqhCk4ok505pWqN3ZRrdP3XVlesWSXapu+yVWN09fdh2j7co2aTk9zT5lk4Gs/48JPPsbu1yRPPXMdrzH3C07f9XJwEgVh95vb2NbqYAGIYhmEYhnHWSBPD0v3xfycT7dXHS7PyK3KLNNt6WhpIbci3vRvax13X5lXx/0lYSLPjCRHhYG8fCKVs2zPkIhKMY4JBlmxEPx/T73syFaim+DmhMkUGlShVssTiqdJs8HKj6Gy36nM7mEA767We5fa+isYatcADxPAE4YHLl9nZ2QmGeFXhq4JSM+aVkGUD+gKv+5gH+e0/fJR5ut6605uzBw8YaXJZrL6Uu0Y718zyyuX7noInvCqOqCtJKlnsEZIhHfqxKhVfVvSyPpmr6PdyiqMxWnqqouLa1Wtsn9ti0OtzeDhhPJ1xbnuTg6MpNw8OcBI8mkoPk/GUrSqES6WSwl49WQxLAUV9FZN9JrFq3YUvLwo5X4Jskee9IICIw7lWZSaRkLQ25aNoPzNoFEyAJH+oi3lDBKcKgxGu16fynnI+BxEubW+wPexzczqPYzQ8sCopUa522usWRK9iMqXseTZ2R2yf26Y3GqFecL0+g6wfxI+WZ0ctCrX6CcBXsQSupooxCmUZT691Itj2uOl06UKfphC8dULIytvSWd6IH43gt5gnJ/aRSKw0Xn85NO2EkKDYK+rh3NYm4+mUovQUvrr7j9piQS3jtjEBxDAMwzAM48zReB4shZa0ZvdX5Wg4TiRZV+Vgybuk4wgRjBgfXT8kzaCuyRWRGrlK+FhaljzQSd4f3Qnq+648wIf+4H389v/1Tj7rL/y5ulGT8Zg/+O3fZbS5wfnLl+IRPdlwg0ocWabgoJp7vCjkDudgtLvTjd9QD61KFsv9tRz5U+swySCUdeEFcaETKH0tVCDBS6DXy3jgvovxOCFEYJD3cXnIKzAvSmbq2drOuHLfJR776FOAw8eypaSxEYUpcdK5Z6rdcaELyVFXClPSHlssb8fCyvbVrlnWyeqxop+SCKIa8kt4fCh/q1D5MCB8MWc2K3BOyETY2RiQuYxnbu7zzPV9+i4cA+/ZGuRMZwVPPXuDzVGfy7ubFNdKKl8xr0r29g64MJ/hBg4fhbSUq0XEh+uNHhh1OBGL16HLFxOfSyeOzCniBJe5OveHuCB6pD4NoStN9p0QDSP1trVPjLTs8Tj4elmPwdYO0/FNivmMwcYGmzubvOahS7z7g0+ERJ5x31ZWm+YK6lC0egHDTNga9Di3u83mzjZZljGvPL3hCI+rBZDaQ8srpPwzraMn7xBN5XurCnB4X8X3q8dNd/xEIWqVntYS25bEo0WhrRZnlo/Vvva0QNLx017t71eEzc0hl89tUvqKCzsDLuyO6A2GTIuCo8PxcmONM4kJIIZhGIZhGGeMZcGgpXrU7iHNj/O2IbBuNn7VMm3NdEpdcSaa6preR6NQ419qU50kNRkraaY5GW2rDeIlEaaTKDEYVWFb+DOf+9n8h998F7/4kz/NM08+yctf/SomR0e8+9f/Lw729viSr/1qsjwLs9ICg51LVNk246Ob4VxemM1hPPcMdrfZuHguGLLeQ8zJ4GhEkOX2Li1plklSQULtiCbfRXOX0mSy1sahx+FQhN2dLUbbm0zLAnwVQyZc6GYnII75LCQBfeCB+xlPZ1y9drM1qx99J+J98lEs6IogrWuQdEFdYQTa48w3oRK1MLbQBSfIxrg8zpo2he73jZIkqTxq7KcoCIU/BfXMDm5SzGaI8xxN5zhx5P0h9108z7ntTQYbIzbP7XJ0/Qb9Xo9XPriFArnLkNxx42jMbFziC+XgaMrRwZid/hBRDR4LEqvPqAfJOqWmPaEttK9hFemxJOTC6PV6QfRwyQPE1etCf7tQntm1RIookjTPUbtaDFH0CttvX7rIzQ9dZ//GPoPhiN7mFp/wcY/w6DM3efZg3OzU3h+6AmA9FjznBgN2Rj12zu3QHwzxlafqDXB5P8TVtMa3KmQuykKaxlm4X1l69l0Wyhe7CqXAe8cchbmy2IfL3xWr84SsEzg62m1HUEnrVyXz7RwIScJN2y2t06IQendpZ0RZVXHcCptbm9z3wP0M+v3l495BbjcExljGBBDDMAzDOGX+5L/+hdNuwhL/4Sv/3Gk34Y81x+bOaM22rhM7jgs9We0pUvsnBIN+hZErLcM6/CU3/ZZLO/Gzptnr1T/aVxohXmtNIek95y5d4K//Z3+Pd/zsL/ChP3wfv/tb76bX63Pl5Q/z57/qK3j9J38SycpX7zk4POKZWY8bV0tGmdADirlyVMGFK+e4enOfXYTBsE8wIx3BFk/eGXTsniXDqpW3RH0jGiwabOkyQphACtUJF+U19M/FSxcgyyiqGZKn8qEevJJH74D+xojJ0RhyYXtnh+eu3YymWTNDLkLIqaEhcSzRiJO6JU370wx3uJ/Ls+idakDS2q8lxLWjA9aKagt0ZttrISbpNYq289AgdXiFAJUvmRzsIXgOp3OmZcW0LBme26U3GDKczXDDAVXlcSJkeYYv5mxsbCLi6G0MGPT7ZOMJALNSuXn9Otvnd1GXEUI1BLyiEr1rMgnD2KWbqUnJWk09ZoMgleUZWRbzfrjGk8NJRuYcxHwgIlEESb0fw2RCfydxs3saQXBO2Dp/geuScXQ4YbR3wO5gwLmdLd74ulfyf777vRTqCVWClsWFdD4frysX2O5n7G4N2dzdQTIoPPjBFuE596294i2U5po9Pm6XnoM4PiWMnSzLgoePZHRT4C60bI2Rv87LoxE5JOppjXi6GDOyPmeIBzLqkuOwos/CFeWZI8+z6G0VeqKcHvHUYx+il99Fs3pZM3p++xodTlUAEZEt4HuAvwicA94DfJeq/u+32O87ge9YseoZVX3gDjfTMAzDMAzjnrM+tEVr1/zjwl0WZz2PjaOXWKGEthHAggLQnJ3kqaGtFXTDRXTB46CeyV5hMDfeE9r6sR+MqAv3X+Yr3/J1tYt6OyErqqh65rM5f/D7v88HPvBh9g6PqKqKLHoYqAZT6IMfeJTf/vBHOX/uHK993cfy6te8qhZCVvdf51PXKNJ2PzTbprCeZCxHB4Z6Zlk0GMKDQc7W7haTasacKuRY8IqvKjxKVQm9LEd9QW8wYDadsrk5YjDoMZ0Vdd9o3dEp/CJ6w7S2ILkNtFu8Ysa8KTua7mU8jnSCJ7oG+THhB6v7MvSL97E/nKAqSBT2kheIaPQKUU81mzAbT/BAWYU8Hnv7B1RliRv00arAz2cc7h8yPTpifDSl72BjY5us36MCvC9I3i2V98wnE8rpFLeRg2b1HY5yTJhtbwZsxwPiVogELw+vIfrJ4aIXSPAGkZj41NVCR9gp5eRoBJPmuWmHsUj0IMl3dtm+7wH2Pvoo+3t7DIYDti4OeM0rrvCeD3+Ujzy3V3d5Z4h3nuPAMHfs9GH33C79wUbw/hhto1mPTD2VbwSZcJ+74oJIEiAaUSy9b3upORHKOhTrBJ4ZreXrx1fjhZIEuoUDLD3hzZhf6pb4/C6X24WQ00XiGEp5WlL7i3I5vOeOYh4gd4zT9gB5G/BG4FuBDwPfALxNRL5YVd9+gv2/ADhsfZ7f8RYahmEYhmGcAsk46MzQt42yeo5/USA5+bE7y0jGZ+Nh0PYCoHVGWq/rwlqaA7eM9VY7lxNjts3s7nxzyz+lMeA0hOcUs4J//65/x6OPPU5R+jDrnjnKmBw1y0OZTpEM1HPj+g3+zb/5LR798ON8+qf/Wc5fPFc3M5U/XdW+dHLtWkrBE2TBcSJ8DNUw0hHTlQjCxfO7bI9GzBUGeZ9ccnCgoiCe0hcUlQdVBr0Bw81ttoZDrl+7yZNPPhOFA6LFGe5XMJQVRFvmcroXbSNSIZV7XSP+1Jcn3fvWeCC1NlsIpTlOCKk9QGoxJoaFKCghPCgIB/Es3lMVU4qyxKunqoIWcX3/kGJ8yGBnl2wwhKpiYyt412zM54h6ZlWBI2c6m+OrMnrfBGFDy4Li6IDeaAOP4nwM46AdABSeBR9zWbST/q6/RqkFOlWtxQwnWV2uNpW/FQkeH3GvJRGkdURSRZjUxzjBZRn3v/rVXH/mGfYPjujl18j7A0Y727zh1Q/z1LV9ytYxOgZ96xY6hHODjAtbI7bPXwInVNKD/pC6FC+yIBakELm2YNWMsUaQaNrfeK6ty5mznlt7Gema9wThtO291V0ZhRslJUZNVXoaL6vm+82JIC7lDGp7u9x9ThB5ZpyQUxNAROSLgM8H3qyqb4vL3gF8DPB9wEkEkHer6s271kjDMAzDMIwzQFc0SIZQnGWNRuXibOpydYXVHiDtUIgGv/J3/UrX8DWhNu28Eu02dYwXpfZmqb0n6hXJm6K1LBpyyXz2vuLDf/RHPPbo48wrH8IgnIvGmZDlQp6FWfc8y/CVpygreg6Kw33+3bt+izd93ueQ9wf1GRb7qtsv67xFuv2aPg6HOZfPb1FGMSOEAQiXzm9CVTGUkD+Eal4nzSzLAucrRr0c53LUlyEiIxfO72xwcHPQaUd6t7k5jOEUXY+NJQ+A1vo0S19vKM02GjdYFKxOMmu/rm/SsYNDRay8UjdRiJEU0XNGo9ePMJ1XZM6RZSFk5Nr+lNl4zGBjG49nNp5y9UMfYT6eMC9m5KMBo52M0nvG4zEuC7k1strhoqIqZqAlIVAqXLtzWdNKjePSK77l8JAeQW1f28IYRaUpf+uyWhVb1Ak1ij1J/HApka12vUOW9MX4r+v32ZM+w2JM7+Z+yDuSCa984CJXLuzw0ev7oS/byl6rmQA9Ua5s9bh430WyYQ8vSjXahCzD+VjmVW59r5vvofS8N3lxnHNopkjlYl9q/ad6gmPXXiXL26m2xm9neVu0JQ32TotXPBydfdpHFBFUhF7mKFwWv548pfcxf8+9EUKMF85peoB8ObAH/HRaoKoqIj8O/LCIfLyqvvfUWmcYhmEYhnEGWCVmCAtiiK6ffddowNzSaO14lQTjr/Ek0CWRZZkVZoN2vTdUaR2zdS0p50G77G/7UPGDphnpaAyNDw/4ow9+kFlRUumCcAEhLl9CWdJBvwfA5UHOq65cQqqK3/nwk1y7+hwPPPRQam60kWTx5MuGmnavoyv+gIjjvsuXefWDG5TzKaplq22CMk9zzOE4oTIruXpwgC9DXhSCAa7Aw/dt8tDlj40nj4lbxZHlPUajERsbG8nBIhi9TbxDq30rPAGk6W8nrh4K7SSo60Jf2pwkH0hY3pRQbY9LryA+GJZp9t2rZ16WFFXFRs+xu9Fjf1xwcDRhY2tM5SsOrl1jOMrRqSBZjveeKnpuHB4c1r0MwrDfAy2ZTadsE0KolGxVK/Eak8seRxKGWv9mWYZL1V9aYSCqXe+OJH7EpjVOOx2Pj7S6EUTSqUSUy/dv8cE/fI5elpPfuEmW5+xcusAnv/blPP1v38PcV7Ug2DH2FXoZfPyDF3ntKx/iwkMPIrmjlAlKFQokpTY61+RlkfqSW22NH3wM//GKRHEvPf8iQp7lFHGAnsQL5JbhL6odr61FLUMWFyURpPUsLAkraVxCOy1I6Asn5FlG7nIqH/Ki1PmT77aLhoXA3DFOUwB5PfBebWpyJX63vf4Wx/gDEbkPeBb4P4D/XFWfvbPNNAzDMAzDuLccLzSkH/HxffwVvso7A5Iw4lcaEYveDc1safisaf/QqG7bVnkWKLUhkKIt6qnvlkiznIAznNvXbYz7CMuhGhoMU60qnnj0cW7c2KdMRmrULXxqowjFvCDPM0B55Mp9PPLgZTKU+WTCxc0Rzz71NPc9cKUOUdCONdX27PCoSvBMaLojtL9tKEWxKXMOzXuMRhv4wQCvVdO3zc5Ldy2FYYQ+T++COIBmccZbcS7HxaSZvd6AwXBA3utFw7PqzHxrS7zqerZ0297JfaCtZJUnNO5unQeksVZFFa8VjoyU36UW4IILCN4XzA4OqKqKeaH0nefCVp/NYY/Hn3qO87ubiOuxsbPJbD5jMOyRFUUwxLOMyis3Dyf0eulalKoowMF4PKGYTen1BjiX1c+Cr909JOQqSSEdbYtl5WW2FrrotSGdkRtDXxqBow45c1EKUxBcPQbCURe8C+rnTtGq5Molh7z6PM88cUBeVGQ398j7PV52cZePffgS733smfr5bTe7n8EnPnwff/oTPo7+uXNkow1gjp88A9r1iKo9tGiLrGmctsTM6NAEjZDYERiEOI4X+6wlvq7yFGv38sLyJHJoq21JwJCF/SSGw7QFKY3JYle1qO01ku7k0azgxtEklGiWlJfIrXIkuaPIosVs3DanKYBcBN6/Yvn11vp1fBD4NuC3CXk/Pp2QR+TzROSTVfXGqp1E5OYt2rR7i/WGYRiGYRh3HcF1pjXbs8ttd/BanKgTki6KGsezZAy3p3KB2jCovR2k+djSHE7663+dh4C2jLPGVoplYWuDqHusyWTMk088RelDDYrMxdaKQ2KSQu8987Li/vPbvPZVL+PSxV2ch6qqcC7nwtYGN2/u4bVEyJvrXfRmqV+WxRuRbn4FjTkaJHqeZFmOy3KaWe9G/Oj0BcmQ0/qVlgcGqhweTtEKBsM+/cEgVhrJyPIcl+d1Ysb68C2hJWgPbUGnew3U50zbOKTVD91wmdWs9zLSpY9eNZQjllB0RcWFUqRIrJQD86NDMl8GbwRRZnPPeDLj4u6I6XTM4x/5KC97+CFGO7ts9fr4ouD6M88yHk9wAo8/9SzzYkqvl+OrcOJhDuKUYjZlfP0Go41tpCXaBQEk3IFaAFkjLi6ukYXxkt6mHC0ppCf0VWubjg4Vx4mLwp8GHSx4GsSRUYUKK+V8iqPkZVc2OL/TZ+/pMZPxnBtXr+Fczqd8/Mfw1HP73Diadr5D+pnjkx+5nze87DI5ntwJ0nNMD55DfYFmJelsADhXPxmhapJrvoNizFI7R0q7R7qJUOkedw2rQvXWhcDEHqPxDqMjoNROTktjty0yL9wMmucQDWIdqqG88WjExsIj3Hmu7xbmAXLHOO0kqMfdybXrVPWtC4t+RUTeCfwi8DeB774DbTMMwzAMwzgVmh/60XAKrhgdI7YRL8J2q/JvdBP1tbapl0EKbWm2WjxGe+qx7X7fNSiSe3zHb7yzri0qRP/6hW3bRmDbY3/JAFXlxvWrHI3HePVBaHAhyamLpUVdlqG+4pUPXOZPvOZlbO1shjwgeKgqJBO2Nod85IlrzCZjNrZ2666RdiiO1vpBfS3ta2r3L51/HeI0VO2Ihr00mSOXrMD6jmvyBKB2hAkbeEajIWXpyWLJTV8p4jx+PqOqPPnmaOUv6MUEskvn7hhXLQVlYRr9JDk/bk0QWbz3CA6feUQdTmIITNrKlzhKvIT3fZfhvVJ5uHkwYWtU8v6PjLl2/ZCHH7zClZc9hC9DhRxV4dEnnuGZa9d4+PKIo2nwgslFGGZKLoI4mB7u4YsCHYb2OOfC/tFTRb0PYkwtday4/pYQ2Db0a9Gj4yORWJANFZBGZEr7NwIC3TETB0dZHKLFjEqU0UAYPLTJ9aczjg6m8MwzXLz/Mp/++kf4lf/wIWZlSd7L0crzqotb/ImX3RdycyhI3kd9STHbA0pEjkBKyPLkiBW29R7nJIa4SO2ps2pUpEiTbq4hUNL27b1Wh8QshsAkb7au41JzX9rfb7VnyErPp0C6DmrPpPg9ScvvrOUFks4hLiSB9QTBrKw8RVFivDg4TQHkGqu9PC7E1+sr1q1FVX9JRJ4CPvWYbc4dd4zoIWJeIIZhGIZhnCrdvBnh175o64e6wPrZdurlzrnWkiWrN+oqnbnn1gxqWJJ8r5vysy13/Y7nQDNJucpToO0G373SeJ7639RcXws12rpuRFBfcv2ZZymKMixyjRu8c/FVlJ3NDR558BLT2ZziJmztbDLMQrhD1usx2trCV8/w3NVrvGxrh6byw4K4s3gtSwZXd6NkDAvC1QPHItp+s+L+NRkr2t4lWag4A1DG9S4ZyDlOHPvzqtG1ah2jOxPenqxeVUGo8WqJnhDH3NPbxatGQ1bqCiKt2xsMZV/hnGM+K1Gv5HkQJzLnqTxM5xXbGwOevHnI3v6H0fkU18uZTeY8c+0me0djXv3Kh5hP9jmcHtFzQBbGUS9z5LnDVyXFfE5WFEEwa3lwJOGrMc5b93pFV9R3rP1MaBC9FN/ylIieIto8YyIaPStSr0sdxhVGTxZFkGiMi4B6itmYcl7gRMiyDES58MCIqx72bx5S+Se5/4ErfOEnfxy/96HH+eQ/+/Fcf3ofrl7jySeeZntzxOV+HxVhNtmjLOcxke4RrldFr6jupaeqOM11t8SLWihcMaaTmLEUyrHo2XHrcSZJfRChTgIS+2Zx73XjdrHCVrpf9f2WRgOsL07gcH/MwaxgMOiRCZSlZzqbMZvfZQHkTmiPBnC6Ash7gK8QEbeQB+QN8fX3b+OYrcgzwzAMwzCMFyutX95J7FhwC29mm9f/wG9v3z16ci1Y8bNpQaDoHqNxIUj2WCCFDXRFmZVtq0WU+EGTIa6dH/lKMJRTydBGFIDJeMzBzX3UK5m4KDaE85a+CrP5Ipzb3GDY75H1M/ZvHHDj2nUefOASo+GAeVHyzLWbIMLejZs8/EjjTdPgGg+YNQ4AzfVKNHiDMEEG4jPcCQyXlSEWydhte21oSkQZxIB27oywaHW40GJ1oNqGTzbfyuvpjrPjvD+enzgSrsmr4jTk1lAJIR1hmIdjOZcznc7ZPzwCB5lU5P0+zgnT2ZzShzZlzlH64Pmxs7HBWJWNXNm8cp4LF8/xh3/4LCHNqbAxHODLOUBIYumhnE5gd6dzLYvJdNsJh7tK0lJHxL5KxvNCOdhYFjeNV2mFLDX5JKR+1uq8G1TxOMkVJJyqmo2ZFwWqymDQB3X0erBzoc/VI8fe/gGZwJWHX86F17+Go8MZr3vNI7z7yav0NwZsD4bk27u4LGd686AO96lmBflwhst6UYxSxGV1+4LnSONtoUsiRhetBa/0fdOEl3TdYOpDdvbtvK+FWVp9FLtwRejMuvY0uJbYFQUdGvGneQaEPM95+YPn+NAT1ziYTtnZOc+VK/dxND7kox99cu357gRyzPUYz4/TFEDeBrwF+GJalWCArwPep8+zAoyIfCFwP/DOO9ZCwzAMwzCM02RhFr9efIzBuTr/Qssw8MF4ahKOdhOu1jO40f4OM9XB4OjMr3ZCWtrtaVvsz6+NK2ePa4+GxhAfjw+ZzWYd4cB7H5zry2Dc4oIAMj2acHCz4slnr3Hf1gZ+VqD9Hs8+8SwHkzlV5SlmM9R7VJa9NWrxSbvXub4yBQx6sa0L1YRrTaP1Wse6KHQFKdfkQCXGIUR/gOQp0XgCRcM6GtSpaf286bOOodhuv6wOn2pf56ryyseJIycqk6uE8BIfBIGKKuQBiYatL+ZMx1OODg5DmEEpbA0zNjcGXL/pKauCaVEiZDhXURZz8B6HZzTM2H3gMo8/9lHG84pB5jiaVWxt9RlX81BjxoeyyZPDQ7YuXkCGG42ng7ZDMkL/eN9yCzlWJKw/xPsXEud6UZx2E5oqocyuRpeTlEzT+6q+j1VqhctCKd8sjJWyLCiKMUU1pypSgs8MNMdXFZsXNrj5xIzJ5Ijx3h6DzU12+0PKyRG981tMyHFbO2SjDVyec3hwSL+voBVVVcJsiveDupxvdFGpx07ok241n/Y4SyJON9dJo7itHxvt5yx4x6gS8/AufJcd4/22jva4TR5ySeRpO6mJNnJTcy3C1nDAqx88x6zwHE0LdLrPyx96iEde9vK157wjmAByxzhNAeTtwDuAHxWRi8CHga8HPgP40rSRiPwq8Nna8kUUkd8G/gXwPqAAPg34e8AfAT90j9pvGIZhGIZxV+jmzHh+65c9Q7SZOa1nlmXZMKFr/HYrMUjtoLHKuG2SaUZ3fwlJXG8nZ0Sa9U5JUJcqxijMDsf4yrd8TpIAAvgg7mzkPc5tDcl6GX485eLuFruDPvOjMZlW9JxQlQXzoqAsQpgF2TrDvpn973prdPsteVf081BiVFr9Fg+4dGwViSER0K5GkdY152l7fMQQqeTIQ/SCiQLOcQ4ZnXwKrUOvWt9+XZWYMvH8PECayiqigtdg7Dsc3gmiIfSpnIw5uLmHxHwxSqjos7O1QX5hl48+8xxFBfNiztZmDycwn06o5mOGGyNu3Djk2v4RTiDPhHEJu1WRgpyoKqGoYG/vkAvjI2R7J46v9KxEQx+i+HFcxy4/P6Gfkr5VK5mhPHEUtaS1X/IOIXpYOLfsTVV7OhHEh9m0ZD6rqLzHzXJUQ3hQ5XO2HniYgxsF5XSfcjqmKpSj8VUuveJBNkd9ZjPA5exff47zGyMm44Ky8swmE1zmqHqHjLa3kJjzI3ML1x77KV2fqgYRMbbZ+xTCFvqnCaE7SULdZr9OPiQWn78XTp27qA5/06adtJ5TVbyvKOYF82lFL3Nc3BoCFZNnPsRkUtzRdi1hMQ53jFMTQFRVReTLgO+Jf+cIZW/frKo/c4vd/xD4JuBBoAd8BPgR4B+q6s271GTDMAzDMIx7wjqRIS3rGNwtcaC7PCZv1CwYc75tTERDzy0YxB2D/9azq8ttaiUVTDO3LHtVrLjihfMFY74WODpt8xTFPFToIAg53vtYXjPNQguDnqOHMuj3GPX7nNvcopoXiK8opzM2+jmPXLnMrCiZTCd4X+J8FmfgFwzattISLrh1jQrtqj3JYyOZatIsbnvQ1PeqXtDt73B7tH4v0i4HLK02JdGjLXilM3Y9QrrHbzxAlpx4oDOuVi1fdazVYklru/p6qpgENV5HVTVdICFXxvjgkMPD4P0h4piXnsrP2JzNuHhum6efy5gWFYLi1XMwmeCrAq3mZFu7PP3UDY7myvkRZE4pFa4fTNnqO6oy5NqoFA7HU64/c5Xhzi790Va0fYMxD+ArH8Jl1K8Qv7R527pgiWKJSEjGm4QLJ0HUa/dNcHgJ3hU+qHeQZcnhIowDJ/EVkjhYVBXX9j3TSRgIufNUvmQ0clx++BUcTj1ua5PZ0T7z6ZSdC9s8+uQBh9NHYTTEZz16WyMGoyHTg0NmRcn1gzF7BxOcZDwgUzZ3U06T1AcSEsO28oCoD/2vUWCVrBWCtTD4gofSwmBcHJsrxLUwnlp5R27h4XHcsnbi4hTepvWNaDVpQXhqtQhfKfOqIqsgy0OY3uaov7ZNxtniVKvAqOo+8M3xb902b1qx7GvuYrMMwzAMwzBOleNEhvYP8q67+aqZ+VTVwhNMvsbSrStdqAajLMVlpHXEOepbeKN0293Ma6/bY7lCTdq5JYLEWdgm+WkjFlSVpypLPCGvgBOHSsyNQauAb4jzicVcHYN+BsMBN59+FoenP+jjJGNnNOL6ZEpZFfR6A1IRWlTrU8eoDBovmtgsbcqaKvCqB/LQ17rcA6l9bUloUWRo7MVwspTPo+uNIaGrWsu6Lv0tw3whZGeViNayVpt7FG/Hqnt/kpwziyTPirRF5UNIiRCqimhbsCvnVLM54xvXqXxJWSmZZMx9xaQSuDnmwu42/UGP8WHJZk+oUJ47PKAYDBgNh2z0++xPZlReyJ3gckF9RVEJRaVkLoyTLMuYl56nr95gMHqCyy9/OZLnqApVFYxiVfBVxcKjRZM0M3RYCpmQWuDwqHdUFPgqCFHeZWSuqsWRRNA1WuViSc+6I8/CMu+Vsigpy4KqLJkXM7Z2zzMrPfsHR5S+4nBc8rGvuci8UGbTGYPd8+jeHodHh4w2Dnn1ax7hIx95mvLggCuvfISNwYDDa9eQLOOjz+4zmc1AhK2hQ/AxLMyHnDYEEQ4JCVeb8JF22AvRyyX2QBSOqMIy55QU1JPCSupOboklSdtrCxHNPt1xteQhtmrsrdrWe3y16FbR5CgJlaq6SaSdy2Kp6fAdV2pFVQqZEzLJls5959AXkAPkznrMvBQ47TK4hmEYhmEYxl1k2b7t/iBuZqQXvBO068HQpo73b+3ZNoI6xvXCeRd/x4dTLZ4kJk0ki2EfqWJD8P4oZrNgmGooU5p0iZQ/IpXKTEJE3u8jvR77+/uIy+hvbIVZdwfj2YzpvKAqq9qxopY4NHiZxDSP4UqToabrTYtVXhdLAsGSsNHup6YVSfSoe7pWZLrHXZ27o9OCBc+MBZGtva4OCVhmVbjU4vHWLmt9DJ4dAiqhOItXXKaolsz2rlGWMzInzGpDGUrv2Z8UHIxnZC6jJ45eDk6UeVlxSMHm9jZPPn2NSeFxhPorw0EfpMAjjOcVmwNXe+Q4pxRlwVNPPY16z/kr95MNNlB1sZ2rgi4WStvGJqbSt6oevEPEoz4IkE6Cx0kap0ngEMBLyA1Sezv5GCqDx1dJAPH4qqIsgwgyn89D2WDn6PVyqnnFpYvb7O5uM58VOOfY3t1Gds8xfeKAZ56+iuvvcd+FC4wnOZcuXmTQ7zP2FfvTOfvjOQJkDiRzSN6L9zB55hC8U8LdRyQkCF7ykIjPpaKxZG5Qh5qqK63QmLbouiB+1OtpPw3x7CvEtpN6ftQiICH/Smqz1vE8MTzLtb4Dm6OQ51nURSQm0q2C0KUVd5XbFkCMRUwAeYny+He94dYb3WNe/l/+3mk3wTAMwzBetKyq6rL4o34dS94W7XUcF9IQvBwWz9EJpSGYg8e1IGZSaAkj7WOBUgWTUtPnbhWORKWespxTlmUdtx9yfwhePM7lSDQYi9JToRSzOZJlCJ7+cEB+X48Mz/jGIf2tAc/tHZKPhrURGwzPjrkV29v1mFiXGyMYhhqM3xXu/NAyKFk23OoQotoUbASOWxmBq851MhY9VtaNh1Vj4FbnW+Fhkq49xnmEpLWOXDx+OuboYI/pfI6I0M9zpvMgIDiE0is3DychTEmg8jFHRSaUhPod1/fHeK/0MqXywmjQp++OyJyCF2alsjXqU2nwmvF4psWMj3z0CQpfcv/DD6P5RjCAvW98fDqX3OoLoseMS2M9XKNzDpK4EVSP1nvqa5LoVdDusyQktp8FJ0K/16u9EOaDGVl2hMoMqLh4/iI+lkje3ByRZY7dB68wu3mdcjrh2rUjHr024dyV+7hvcxP6I3oXH+Dwyad55FUfw8GNaxwe7CMiVKVnNpuRZ1X0hEq5SZrEoamt0grDajw7tPO9EwTTut5TIzKySmBaGEEnCHlZ5R2y7nOdgyZzaFWC+GUPH+1+qwUvpnCdLguCXc9l4frl+T5vt4EJIHcME0AMwzAMwzDOGGFmNYavHCNwrBU1OrP/KfQleFqIdKs21K/ECdmFZIeeRU+C9oloDHlWGAydNrroGtGsr8N6cJ3wlbhB61ricSvPbDKmqoKYkipqeK9oFTwIXBZmYydFybQo6Q88VVmQ94dIqYyv7VFMZnhfMRPH/mTK5c0NXJaFqiTEErMoTVLSaASHGIdO29LVew2ld5vJbWn2Wey2ltd/u3PDbHtbjGiFO6WDHeP9sSxUtMdHW9hZEFaiYNM5eAxJajdnnfdHWrcyxKZ9/vq0jqryuNyFEqsCrif0csdsMkbwZC4IBJlkeK/MCiV3wQidzWaUHioVZpXSz8B5ocKzP55SVhW5g0HucA6cL9kcOqoqiAhHBfRzZWezR57BzcOCUbz/zz75DLvnzjM6vxkqJdVd3u7TRfGnEUdqj4jW9YtzYawmEUFapXDTg9f2Vmg6lRQSVVYVvirw6imrimpeUsxDCVxfKVXlGQ76eF+RZUKv50I1mV7G4MErjJ98kk2v5P0tXvba14HrUSlInvPwlQe59txzlIMBs0kfXyllWVGUBekhz7IMbYmhteNYO3SNVK46eW3FMaW+7o6UGLi+UtUmJCz9tT0/VnhxHCeIsLDPOpZze6w6TmpVvYTMZTgEFa29Pk5yvhdE0I9vf1+jgwkghmEYhmEYZ47uj344fsZ9nUii6lFtx6Yveit0XdeXojTasf0r2hQ/USeNWNhv1WV1ZoTrNgQjatGPpA4JoNlnPj4KxmRtcLqQayBu288cXjPmVcXhZMbW5hDvK6qi5PDmAfPDQ+bzihJh77nrzMqK0ahfV91YdLdP+Fa+AtUmhCNcQxSJUldoKxxiyVhuygovnaelmCyWHF4USzrduuSh09k1LvOtZYv3Kt2LdkNqJae5sM4+y8dausZWg9Lsf+3l48NfJRW9LCPHkyv4YsZwNAr9qxVlCZujHmU1I4u9or5iXoTjZZIx6IcxIE6YzWf0cigrT+Yc6mFvb8LuqMfBpMAplAXcGBcM+sJokDPJM7Ty5Fmo3jM5PGR07kJso8d7rZN+QtM1izcwGexePc4LXqJHkHjUZaBKKNYsNBpJq/yqNHc9nE/rkJeyrCjmU+ZFESogOaIY4imrcI8qX0WProyiKMmcUFUFczIm25fQjZKP+ZhXM9ocUZZKWc4YDPpsDHMGfcfW5jC0zQmb27vkWV4/n86FvwUNcGkcJA8oogdF5/urFi8a/w+pZY9GFVz2GVoedydhOcdO2wupEbSqyteeLe3ztLMZiQQhq9fvhXEFuExQn5IwW5mWFwsmgBiGYRiGYZxBFr00Vq2HZQO0a5ymZfVaFs2Kdj6PMJG94nyS9lxh+TSbHHst7fMtvq/Xd3QVaZ8YICR/nM9wWeP94ZzDaxmMJg+u5xiQM54V7B1Nue/yeUqUcj6nvzWCTCj2j/Cl8pGPPI0IDPKsMdDqdjhSrMrSRDBtgy8Zs8teG+1p29XG19oOC0k1ozFY59qU1feu3YddL4z6cAseP+GCgiHb3i4ZfskbRFrnkKWbvDrvyKpra5LFIiHHRVl6cnW4XobiYx6LCUVZMJt7hv2Q18KjbG0MOJrMKBT6meBVKbwGL48e9AcDppMJZeWBMnpbRKEF2Jt4Ngew0XPMqxDW4oH9ScWwn9PPM2aFZ5g7MsDPpqgvqaoQXuOrtpAlEMs8L/VHXOC9Ii4IHZk0Y6TupxTikp47Sfda657KsmCQZ1nGYDCI/btNVVZUVUnlKw72j1DZp/QwnZUcHk3YGA5jBZk5oMxmc8aTknww5P77LjEYhWONJ2NUlSzfDt5UWc5wOOLKA1coqwIUyrLCZbGktffkeUg6LN7FJMRpzDlcDAch/ptK4tY3IZUSDj20MG5a2l7yRlsxitIYW/V+1XaLQtw6z6R1j2N336YKkCqQQS4ZOAm5iJYSqt5Zbj8JqrGICSCGYRiGYRhnlmSItmeJ2+tl4TXR9txYLZCszGERl6ewBEEWirN4Gr/91tmP+W1+3Pnqs0p3ZjgZjMkgTPuUZUEKD8qcI3Oh5kzyIanUMy/K4M0hcONwTFGUkPVjOAXsnN8lH/T5o0ef4ubRlDwTBE81n+P7A5wAmnW8MboXm+rcpGVp9joKBJL81Vd4ciywaKC1xQaVjlPNsftKux2t9WHcpH6n9ZrKfwrd8aGdbZNA0qyOlqo2626ZDLU1BqVug6OK3hU9J4iryHPBl46yrBDmOOco1IMog55jNMzQWUWewawI47OfK5uDnH4vZzxRMlE2hjCfecoyCgoxVmMyr9jZ6DGfBs+KPAPUU1UlafLfERKqDnoOP5vg6eNxIdlo7fWhSyJgdOiJxwgCjWqortTuntAWbcJeklgmzbh3MTFqE3GjdViI90lLCGEvs9kM9RV57nB5zpNPX+djXvEyfBGq1lRVSOy7e26HrdEGeZ5TzOccHo6Zz+dcunwRRfE+bH/16jNcffYq3ivnLl4iy3Nc5cmi90q4zoqUzyMlcnXOoa4KMUvJw0ej14yGqj91LhNNuVSb5709bjqjcY3YcZKcICddn0LV0nfeqjEdljvQ8L3jnFCVFUUMiREn5L27bFabAHLHMAHEMAzDMAzjTJIM2iYh4iLJ8G0SZwKk2Wapwzo6R101C6r1mRpjrjXp38zrts/dzh2y2hulvV2dO2BJCBFSglTvtbNfbSRFo73yJQB5LyPLHb08Z15UZM7hqwrvPWU4HIJwNJuzd/OA4caIXq/HYNDDK+ztT3ji6g2cE3pZMGrm0wmDza3GLT8KGkkiiP4QC+1b7FxaFtytDZZ1iRpXeuEcs2/3OCsEprq9zTFT6A7I2vHVGSuqzWDQIE0hx9/7pimL7jPB4Cx9ideKUT+rz5dlDgeUpcdlQj/LEcnoZRm7GwI4Cu8Z4NkeCMN+j8PDIzKUlz18H6NRzo2rz1FV8zBjXwsIoVzpvPD0nNLLhF4Wjpdn0HMwzJTz53fZPX+OQoRq7lGJgkan9+gokZ2nr+0Z5Jqxnu6sEAQMif0prZG1YHaTlCbRsA+Acxl5BtPJjGI2pypCCNHuziabG1vsbG/S6+UURYG4rvw2mUx4+tlrTGdzLl3YZT6f0+/3EQeHR4cgjsFgyHgyDplwYrtn8xnqS4RUAjeUg80yhzgF9Xjvam8PH8XMJIQQXyvvQ8LbOIaOo92n6xKd3orVYlzT0fX41u7qZv8kfkBK3yqZi30gdWhU8P64ywKFCSB3DBNADMMwDMMwzhjrYteXcz2k7XxrOwmzmmvs51XHavxIGmOgPn+y/KIl0I3ph8VZ3FWVQo6rHrLi6uvWxB0ApSyKULlWMnq9nF4vh8kUJ0KeCZUPLhNahZh8lzkqX5H3elEomTMrZjz13D5PPneTWVnSy4Qsz1CFyfiIzXMXcJKBW2gDSYpZ1fbjhYq2V8eSR8Ut9nlhlVxWbNEJgWlM7mVvkhViSGpbewycqE2N8VjjNQpWoRSpkx7OKaVWoSpKb8RkVrI57IHkZFmfXs+R5zmZ5My1ZDabM+zlzOYzvC+4/76LXHnFy8BXFLOC8eQ6RRFCZbyHfk/IncNpKIPrEHIHmXOI92z0hX4uOAl9kPUyisMZwT0kw1dNnplGIVzuBJF4fV6BCi+xzC+QZUIKn0niIbQqkIigEiritA3etK1zLnpreAaDnAuXz3HflUtsbe3Q7w8RCV4fs9mcqizJ8pyyLJlNZ/iqwjnhypXLoMrO1jZlTHLaH/TZZJOrV6+yt7+HiDCdjBkM+gxGw1D6NXpFpTwlscBN/Z2TRpNv3/foKYIDqu6ISOuphc6uJ1LjsdQVRdeJhielfZb6+VpQnzrPay3AKoin3++RZ8ErKET95CHHkL/LZXCNO4YJIIZhGIZhGGeQxaoacOtZ+mBPNOEXzefjKyfUYS5rje5oKLtoKfjkJhJDZPxyBZDnPVtLMghb+8UZaO8rZtMZ/V6P4WiT2fiAwaBHVYV2ZC7kBCnT9mgMjcnoD4eMtkYMGVIUFc9+4KMczuYM+jmokjuhqjzlbEJVFGR5L3iQrBACFqvcHJeIdrkfQmjRLTSK5lxr7nV7Xfferxe9Vh1j8X3rzEvb10LZmpnyxe3qZUvHDeurWMnEV4pD0RiCUang8pyyDIlHh4MRKjnjSQx90hBlcX5ri2fnN8gy2N3ZZnNrg8sP3E8+HCJVycX7L1MWBQd7hxyMCzIH21tDZrM5m4OcSamUXhHnKH1FXzwX79tme2uTsnL0tzaYekdRlWT0wjOUklwm4U+DQdy+yqATJvGq7phW+EcSEQBpSt+2omDCoVsJV6XeIOUGycmynH5/wObWLlkWBME8y+pzDocDhDCuvff4rVDFKM+z4GmlGjwYqhDS5jJH5gY8dOUBRoMe4/EYNHg4CEF4qtsjsXSvALhaBFFtRIsY40JIwhy6qixLyqJCK994hC2FX7WOEa9+VZ6bxTG3crnWR+w+lzQjPHl/qGpT8Kl1naDxvkQ3EARHFjxA1IXcH15jZZ+FA9xpzAPkjmECiGEYhmEYxplkhRfCCiGka3Smn/fdsJm2AbFkpC+ebsV2xJAQpW3YAa3yn6sEm3UsGy2xze0zqq+Neu9DroZ+f4PeYMB8NqYfE0MCwfiQKjTTNzkTnBMkC6FApW+qt4R9gieErzzzomA+nzGbHdEbjjrhN6uN/eaa0/U0fbDm2tfMXD+fBLeL65tztgMGOlvG1+MFqfb51uX1SAlZw9GamfF1IlDtIdQeV+k1en6oaog0cgISwpkq7ymLCXmeU3nP0XgPlw/Js4yiKJgWMza2Hb1+xste/XJ2d0f4SumNhohkQEF/2GdnZ5N+zyPXjhiVDucr5mUQWhzK9kBwDga5cn53m8v3X2a0s01ReBgMmE2qUAXGLYz57pvOxaXNnGuJUa0QIlWP+CavjkoMCwuPVzfEqtXTaeykcV3fS++ZzwvUD8k30nkcWcw94lxGUYS+7vVy8jwPYkwUmFwWKrb4qsKhbI4GHGQZZVEw2thkY2MDAaqiqMN4sswhWU7KZxLyyKScMkRvNNf0UXzGghhThaLcCzrgcgjX8vfWqm1XJTnt3qHW9146r6TX1MPazbUThY7Gw02C0CWpyz1lWdaih2QaPZnuchUYKzJzxzABxDAMwzAM48yhzbRwSmJJM2O6aGge54nQZnFxbaOlZBf1dgvJOWkZxou2yjpaBt0twzk0zbB62jUgNLmeAy7LSOlOe/0NRhtlyLlYW1MtESW2K+9lOAelrwDBZY7BoE+vKMKRnFB5ZV6U+MpTzGaUZUm/16uP1+4rkbpR3eZ3jLDWHro8A12vbeVGOY51fdfOqbLKCJSO1X7r+3Ci0KXYCatlocX2pv6T1jijnnFP+V7Uh8oi6j39QY7f2WF+bUruMqbTkoqQuyOEXihlpezf2OPCziZaxoovmacuuSohT8Pmzg7DjQHqhf2DI/b3ClShlwkbA8fOZp/eaJvBoMfG1gbDjSGII+87vMvwfk5VFohzwdhvuw7Uws5CP9RaR/AKCF4bTR/6mE1VhNpgTqIGBFHOZQ6QhbKsvva4SCKDqlKVnv39fQ7291Fi0lPvGQx7PPTQFTY2txgMB+RZj16eAULlPVqV3Lx5yLVr1zg4PER9ycXLl3DOcfX6PtNpCVkB7Id8HhrKxPZ6Pfr9fu3tUOfH0Oa7xWvwvooND9VgokBQJ+Ztrow61ETbHczC8tbm8bhRuuiMu/ZtSOJae9/09dVdvE44FEK4UvONlBK+VlXV3DMXkta6LFtxnDuHVYG5c5gAYhiGYRiGccZIyRsh5gKQVA0lrD9JboiV24jWCULDeVrawXHtWZiJXcxPsqq0ZNh+dVsaY0Wbv7ptkAy9qipr9/tgUAIi9Dc2yKdjiN4huKbaRp1wUpWey0MukMrT39hASs/DVy4zfSyUEZVoRJVlyJsgCrPJGMcGvX4/tJ0F0QeakIZV/dyyulSWZ7C5lRjEanHkOCHk+PddIWdRcDmuLSfOQ6IgGsoGp/+amIKY40J1yWAVfOyPUIkkzzM2z+3gMkcxnVHO5wzyIRtb2/QnG/j5lG0JYR15DsONDK9VNMKrkP+lKnGq5IMeOGH73HlGG1v08n2qqmBra4vRqEc+GDEYbeGLAvDB0C+KEGMjLRPJe3A+eDYcY4N2ukma6igSx6w06kj4nASOJJaQIl3c0jMVPFuCwFEUVe3FFJJvOrLegMlkwnQyBa0YjPp4TyiZW5SohGdAvacsCsZHY65fv8ne3k1u7O8zmc154tnr+KoCydje3mTow6UPBn3yPI9eLcHYL8uydb3hWyTL8tjWrphaeaX0vjue63AiYnSJdvu2/SwveIdI7RCTvjcWQmRawlQq610fQbttC6Kaq7dI+zciSavqlQ9qT9ZzDPo9UlrcumLV3RYoTAC5Y5gAYhiGYRiGceZYmKfU1pvk+YFHcM20+jG5G+p9FzwVFj0ITlJ5ZG3Mfec4dAyaY8M92rED7ZlgpZ5pVSDL8zrfQNbL8d7X8on4MHveOZ84BoOc0e4uVeUZ7p4H9Vxx8NQzz7F3VNbGmgBV5ZlMJ2SDEUVZ4rKcLHOoxFnt2uOmG6qwrr81zoQn46p96ScJR1nVr8eLTi+Mdfeoc11tTaXZgCamo1lZD8taZmrv4kmVf5oxreT9kLtCsgyXOXxZcbR/wMb2JuyMYD4ny4W870LpV4E8y5lP5yFMQ0qq+TTkbdDgZTGIx9za2aDfHzAcDkAF18ujd1ARwqG8Uvk5Ls9xmWc46NdVXJr+Oea+xatOSUKXdLG4hUdx2ggFriWErO13QqLjOqeHD+E5PnpVZC5DCON0XpQ888w1jo6muDh2i7ICVebzgqIsqSofXn3VPG8SvExyEcqiZP/gkNksVE7aHA4YDAahQo9L3jDNQy44VEOFpiT8pPucwkM0CWDahFIloTJ5dCz2ZjheCkdZ7p+6X6PokY68KDgSw7faQsWiZ0knTHCh/+tng1jytzksKc9Jdpc9QIw7hwkghmEYhmEYZ4yOkJCWpc91yEeaTdWl/AGLx2p+wIf9QlhGU3r0+RjTx4VeJJf4VS4lq8/RGB1d+yZ8yLKsFh/qsAonlGUZjcC2KdUY6U4Eh2O4scHo/ANkeS+EMqiy6WE4GLB/NK2dIwRhMOgDFcV8xmC0GYxLJ7g6D0OrvOdCf6zug3X5Q7pCw2L/12FGcnJB6vlyXM6P9cfUzkutHLUW134OC5t2+qE1u4+E8JZeFqqxhHHg0aLCOaXXy3BbIySGMKEuJNz1ii/DUSsFLaGspqAeLWfNvVIlzzL6gz7OhSShAng8ilIUc8qypJfndTnTsirp5xWZy8nyHIcL3hrxwjRIGN2LWbhIVY9Xh0veL608IEEciP4DIjFkpDlael5FggcGhNCZOodGFEFCrpSK6WTCeDJhOpsFzxARZvOCo2vPUZWhTGsSIOJNr1/a99mJkOcZvdzhXEg8PJ97yqLEFwVlOaff65H3cvKsF8JDSEJOyNcTFmhdEUW9D/cn5XuJz3nI01PLl+0B1BE0ag+4tO2q7xZN/Ub3eOmG1B914bskbdX6fmy018WcqLVnU5ZlOHH41ugOIV13OweIeYDcKUwAMQzDMAzDOGN08ze0PCQ0igAA2rhupzn2pBEkY7QWK+KhUsJCaeVxOIkRvMpjoTNj6tJsLI3LuELbjFgyrBdKirSNmKqsKIuCI+aE/AeuNm18VVFWJV6Fi5cvsOMr0JDk1PtGhMid4/yFbY4O90KyQhcqYJTFnHOXziG9ECKBKpvDAdmgDzjmsxlHBzdj6I2ACBOfBREl67WuqTtrXYetxPuwKH+s8ppZhdb5UNZXATo+58fq2evV5zo+v0j3cyuxbm37tcYjNGNwOVlGLT7US1WDmJH5cBuqMhiRqlSzOXnWhzwLAl9V1ecsZ56yUPJMwCtZ7vFlgcsyfFlSlfO6/70v6bkevf6Aqqro5TllrBxE5anKom6Pr0KIS+U9k6Mp6irEl1Q4pHK12LbgH9O8Tdcdb596jw8qAxK9BZBQraj2nmg/2tFAD/jo4REFNx8M7LIqgyDhPVUVhAbFk2cZg34PlzuyeRmq6hQOyT3q8yBIaLp/wUsj6VciUnt25Llj0OuR5zm5c/R6GVnWo9frkeeubrb3VS2gBAGBOnRHk2dWdNrw6luCR+ij9rMhzWJAWyEpSsj82QgfGj042vdgcfSmkuBNzqLkiSWdvq49b6S5CVp/dzZhdJCerbB95lx4FnwIRWq8Xe6yQHG3j//HCBNADMMwDMMwzhjB6JfaxV3iVHszmdyYkkn06CyrjySdY3a9CpJo0arw0ZnFXjCsawMlbejWbwstEWQFMUahLaKkI4tIHf7gY96F2qiJx3V5xvnLlzh/+VJ9jclgCTZPU4VDFUpVxEcXfRyveOUrw7porKYjBCEpGLvzedFcUz6K+RxcvUMy0mKrW/bJcSlCV9N1v08GcrPuuGowx4kkJ/UOWRfa1N2/yXWQRLXulUo9RrrmZhcnwYj06imqisEgj6JBKtecjN6QF8Q5h1ZFahCKp5qXkIcyxi5TEEdVVtGLoYeqp/IVvbxPrxdCYPLcMS/KkKvCRcGhCp+VYNQr4LIgJHiB0SBnVoDg4199pe3ea15jrh6phaDoFSOx6lB6huJDu3j/6uSa0aMghHlpLV5oKrnqHFmmeM2oyopMHE4UKTxk0MscohmVFyqqunlJAAnCgsT/KcT0JloJksOgl0dvjyx6ziQjP0oSlQdpBBWN31GL4VracYpIJ3eNOtK4fTTPa2tMJbFDaBwgVgkedXJVXVzXElriqEwbqW+e3ZCnpnUv0j6d6wl5YMQJvV7ILVSWFVVVLXmV3BVMALljmABiGIZhGIZxxkilJLtGaTLqU/o9Wi7jaeY06Q4toyy9upRIdU3Z1OZXf1ITSEZae6NwDun+IE92zKIBXb+ROJHbFg1WkIxGcWQ9YcCo28oV52gM85ZuoNEDpiP4NNs3vhtNP4QZ+CTtCC7LQRQnjj45WV4Hw9TSUVdKWvlm+RJb93RdTpT2THX7ddWx0vrjvEMWzxDWtY+zyr7Sztire6w2ErX12ppdP0b8CB4Qjs1Rn52tAXnuGA4c83lJ5qPAhECWUXkgE3A59LK6PZL1yPqaLhDNwjpPhWYxzEWjxuYcZUZ90yqnwVh3LlQVzYZU0gpncUEgq0RQcWyf77OJkPf67F04FwWDlrzY8uCo+1Ya8S2UmlVEJYh5+FhhJiYxbYVNpDCK4AUTDe4ogGjLaNckCCoUZUlRVEwnY+bFnPl8HnN8xFAZmtCT5jxRnNBYrtel5yFuW9/FdC4IAkG6/40DSxjLdNsYR0oSNVMi0iBAuFY4TvMkpeuvh1psaDrOwqadfdtjd9U4XvV9kY4fRBBp9Um64FWVldLNDgJX5hzSc2RZRlWFPr+rmAByxzABxDAMwzAM44whtRGV3LmldjEPdC2vtqBRhylEI0FVmyqzLWN/OcQlGbLaMUJW2bKrcpQsrm88U5bbm37LrzLQQxJFAOFpmtCXWqxoeXa0hY9amIGFNq9qZDhWvFpAKauK8XhClvUYDYdkmiebuC51WR/NK6Kt/WNpimON/1bfrLv2xW26/bJCLFkpdkSRKYkJS9u3jcfuzHl3TLSXdUWbZe+SlihHV8QJ+wAa8qlkWcblB+7j3LnN2sCX9nbRA8bVHgo0/0jyqGjeI7J0u+uQsLgghZ+EUCof5ZxWXhlp7dw6XdrHZTnzfl4ft362Wv/Wu5ASdyi+qvBVW/RSRMpO2EQ7p45PyUJ9I360+ziJFOkZzZxQAlnmyFXwXiir4G3ioxDUeS5otwWcOHp5VrfHuZBYtnnIPKirH/S6EozQ+T5qqhY13Rh0E9/pHUklvdVHJYa6UlLqj9rfTZvvqeClpq1zLD5D3c/rw8vCcdL1tduxsGHXe2TJs03qfg0hRBnI6nMaZw8TQAzDMAzDMM4YKe9F14BVVNMso5A8RML2XY+CjpeHeJJHBB2D2dMRVGqjgOZYx9rybZN33XUsh2Gs8n6otRKJYkPbO2GhDxaXpvlrRy3f1C3rGsYdk7xzrCQC9Pv9kPRSQtUNQagqz3w+Yzgcosl7HwX1JAf9ZLC5+rDLs85LyU4JlUfq8KPjuzJc/QqjrHvcrkeB1GV4O0dZe7xFT5LGWPa1OBHGYFsQSeM07Z/OssIgFBDneHbUpxpkTV9JZ5OWgNEWKLobdQSpdUi63sYrg2Tv1sdYHBftjyFnRxDA2iNq0YNBa0M6eVmpNOt9K1nvqoSZiyEUIemqILHvU9tUwEksZ1uWzGZz5rMZlS9xQJ458iyj9JA5H/KdtIc51LlMXLz+4PnkcSKIgyyTIFx4HzNwVDgynEvfOc3YC2FhqV+WBQovjpTPpP1ctD1NIIX5UK9bxaLYsWpdexuNrQ9CRXoGwjWkbZ1LI0Cb75z4fDttjtQmhG8tPIciZHKXq8BYEtQ7hgkghmEYhmEYZ5Dg2bDqx36y5Vsx+LVxUdfhCEg0CrSpAhEmthdLq0aPCOmeZx21kavLyxpLqzFx0tKuHa71NiGUILwfuqUNWyekZaM2R2xkiNZs80Ioz+Is/6Kx63F4CfkiiIadcwJ5mFnPHQykdeaWsY9G6aVj5LX7pbuuY3onL5v2NafPna5csGTR5t7Vfd32vNCW0Vc3unWIeM87J2mEh1o7gJYrAfV1pBnwdg6GRdmpCY9Ix5GQ8NQJGVnd3sUrk879atq7TvRYdo5ZFriWN+p2elV6ZrOQayTPM/Jej9xl4AS3dPwWrXHc6W/aIl+r0kgnrC0dQpeW1c9pq+KMc6ASKt845+j1eoDiqyyEYIgwQIKR7jOqmCw1hcx4Gm8T54Kwk2fBgyGPf4IjyxyZc7gsPAdR3gIqvG/fhSTOtISN1lD3+JBfJA1TD5WHaql6U3tcdkVSXThHGouahDNtltXtoC0ctXODSHOPJGZr0Yp2yGE6Vef5rm9UePFV9FwSVytJdVLVu4HCQkKV57ev0cEEEMMwDMMwjDPGUtUNYhWF2oUc2jPDnf1qg1dQjTH4PsyGLnqMtENZ2u748WjHtG9xyYqwCJGW3SzEWr0AsbRsk1SybaMPHQwWNYtkxEhLUKiN7RXWqTSCSvv6gjCyaHzG4wtolvq+6ogO4oJR6ZxrzVy3PR60c6x1fdUVjFrtXpjdTev8kuCzeC5ICWLrfBQijV3Y2n5x36Z/Ur+ktrS1Aq1f6mpC1HP2sa3L46h1JfW7IcK5WH1EnWNxZr3ZXOpjNf2RVh+nRCxe66pjr99tDsyUUFGlN6wNZMrgIdHv5eCUYd2xyuKDcPUjEw4PCybTkHB3XUhGJ1yk1bT6/tUhcEKnWlIdwgRojqpDtSnhi/dIVZFVVaih6z1OU64RrV+TJwcilCJ4UUoJ+VmahlQIVR3qkmd5I4g44vKQe6gz0rQdFOTqtgchwwVD3mvcTmthpXt/GjEufFJoja16+UL/Lo6pOsSlbl/0iqpDnwRxHnyJaspBk579pvKP1tpG+FwUJSBkmSDqKUOcE3eP5bH2vPY1OpgAYhiGYRiGccZQPD6FIPhoDCnUIRctcSTNaErL8AVCvH10xddbzB4el4/iuFbWRmJtoPg4Kyu1GCNJYKCJm9e2IVcjnbdtc6LrTdE6/9K+aapZowDUhHGsq46SDM2uF0Nz3Nrlf8HtpW18ra4A0RhlTfhEkzJ0lVHcCB9rKslou3JFu63tGfRUwrPWyzqbrPrY9iJq8lzE629fiTYeRi3fhqUD1zpGy2gdIgxaiX3VdQW8RXGjFVnRdRI41s48fhyvraaDUjqh6oWkoHhP5jKchmetUqUnoY3dUDLtvieY7WVZ1sdOeT1EouwXjfLmCfCkDDPpmXYi0RjX+r+2ABL0z/Adod5Teo8vSkqvaBWWt8M0Gg+Tbg6RVKEmOHU4RHw93uvQDudxkuHxpPQZEr13UngUne5I4sXiGGmuOIRRaVJM6v5oGiykcrjhPE1p28W8N0Lr+yt912gT+hKEyhSultZLk4fFe3xVBq1GHb4qgxeLS/cgPqsKaIVkjo2NAQeHE2bFPJYKztaOLePsYQKIYRiGYRjGGeNv/p3vsV/TxkuCLzntBtwtvuq0G2D8scJygNwxTAAxDMMwDMMwDMMwjLPKbYfAGIuYAGIYhmEYhmEYhmEYZxUTQO4YJoAYhmEYhmEYhmEYxlnFBJA7xl2s12MYhmEYhmEYhmEYhnE2MA8QwzAMwzAMwzAMwzir+OMreRknxwQQwzAMwzAMwzAMwzirWAjMHcMEEMMwDMMwDMMwDMM4q5gAcscwAcQwDMMwDMMwDMMwzireBJA7hSVBNQzDMAzDMAzDMAzjJY8JIIZhGIZhGIZhGIZxRlH1t/X3QhGRLRH5ARF5SkQmIvJuEfmSE+z3nSKiK/6efsGNeoFYCIxhGIZhGIZhGIZhnFVOLwTmbcAbgW8FPgx8A/A2EfliVX37Cfb/AuCw9Xl+x1v4PDEBxDAMwzAMwzAMwzDOIsrtJ0F9AbqJiHwR8PnAm1X1bXHZO4CPAb4POIkA8m5VvXn7rbjzWAiMYRiGYRiGYRiGYRhtvhzYA346LVBVBX4ceK2IfPxpNeyFYAKIYRiGYRiGYRiGYZxVvL+9vxfG64H36nIykd9trb8VfyAiVcwh8s9E5L4X2qgXioXAGIZhGIZhGIZhGMaZRG8/BCbEwOyKyM1jt1I9t2LxReD9K5Zfb61fxweBbwN+m5D349MJeUQ+T0Q+WVVvHNvsu4gJIIZhGIZhGIZhGIZxRtEX7s1x26e+nXWq+taFRb8iIu8EfhH4m8B334G23RYmgBiGYRiGYRiGYRjGWeW2PUAA2Fvj4XErrrHay+NCfL2+Yt1aVPWXROQp4FNvoy13DMsBYhiGYRiGYRiGYRhGm/cArxORRc3gDfH192/jmA44NXeW1ADDMAzDMAzDMN8qSuwAABE7SURBVAzDMM4iXm/v74XxNuAc8MULy78OeJ+qvvf5HExEvhC4H3jnC23YC+FUBRAR2RKRH4hZYSci8m4R+ZIT7vsqEfkpEdkTkQMRefuLtRSPYRiGYRiGYRiGYaxE/e39vTDeDrwD+FER+UYR+RwR+THgM4BvSRuJyK+KSEdtEZHfFpG/IyJfJCJfICLfAfwE8EfAD73Qhr0QTjsHyNuANxIywn4Y+AbgbSLyxar69nU7xfI5vwE8C3w9UAL/BfBrIvJJqvrRu91wwzAMwzAMwzAMw7jb6Av35nj+51RVEfky4Hvi3zngvcCbVfVnbrH7HwLfBDwI9ICPAD8C/ENVvXmXmnwiTk0AEZEvAj6f0IFvi8veAXwM8H0ExWkdfw84D/wpVX0y7vtvCSLKfw78jbvYdMMwDMMwDMMwDMO4N7xwb47bO63qPvDN8W/dNm9asexr7mKzXhCnGQLz5cAe8NNpgaoq8OPAa28RzvLlwC8l8SPuew34GeDNd6e5hmEYhmEYhmEYhmG8WDlNAeT1wHtVl+Ss322tX0JERsCrWJ119neB+2KIjGEYhmEYhmEYhmG8qFGvt/VnLCP6wmoK3/6JRd4PvF9V/28Ly18DvB/4JlX9H1bs9yDwBPAtqvqPF9b9p8APAx+vqn+wYt+bt2jWLsDu7m5n4eG0uNXl3FO2hr1bbqOzg3vQkueHDLZvuc3h/PAetOTkbPW3brlNeXi22gyQb9263fNpeQ9a8vzoD28dlTcbj+9BS07OYGPjltv42dnraze4dV9Pp9N70JLnx3A4vOU2RXG2nsle79bP40Fx9sbIdq8ZI3t7exAcNa16nGEYhmHcI6L9uptza/tvFSUFwJ6qnrtzrXpxc9pJUI9TX26lzLyQfY897t7e3v4L2H8dSVXZe6EH2pu90COcmDvWZgCmd+YwJ+DO9fXknrUZ7mR/7734+hpg8iIc29N719dwJ/v73mkbd3SMzGb3bJDcwXa/OMfIwgF2gNMJQDYMwzCMP77sQS1kvKBjGIHTFECuARdXLL8QX6+v2e8GQeB43vuepvKVvE9eTOrbi7HNYO2+l7wY2wzW7nvJi7HNYO02DMMwDOP0UdVXnHYbXmqcpivre4DXichiG94QX1fl+EBVJ8CHWJ0j5A3AVVV99o610jAMwzAMwzAMwzCMFz2nKYC8jVBL+IsXln8d8D5Vfe8t9v0CEXkgLRCRC/FYP3mH22kYhmEYhmEYhmEYxouc0xRA3g68A/hREflGEfkcEfkx4DOAb0kbicivishiTo9/TIhleruIfKmI/AXgZ4ES+J570nrDMAzDMAzDMAzDMF40nJoAoqH8zJcB/ytBtPg54BOAN6vqz9xi32eAzwQ+ArwV+JfATeCzVPXxu9dqwzAMwzAMwzAMwzBejJxaGdw/brwYE9O9GNsM1u57yYuxzWDtvpe8GNsM1m7DMAzDMIyXIqcZAmMYhmEYhmEYhmEYhnFPMAHEMAzDMAzDMAzDMIyXPBYCYxiGYRiGYRiGYRjGSx7zADEMwzAMwzAMwzAM4yWPCSCGYRiGYRiGYRiGYbzkMQHEMAzDMAzDMAzDMIyXPCaA3GVEZEtEfkBEnhKRiYi8W0S+5LTbdRwi8rCI/Pci8v8TkUMRURF502m36zhE5PNE5MdE5H0iMhaRj4rIT4rIG067bcchIp8mIr8gIk+IyFRErorIr4jInz/ttt0KEXmTiPyiiNyMff5eEflrp92udcTxocf8PXDabVyHiHySiPyUiDwpIkexr/++iAxOu23rEJFPj2P5SET2ReTtZ+l5fD7fcyLyBSLyzvgd/qyI/I8icu6eNrhpy4naLSJfJyL/SkQ+GLf51XveWMMwDMMwjDOGCSB3n7cBfxn4L4C/ALwXeJuIfNGptup4Xg18DXAI/J+n3JaT8teBlwP/BPjzwP8zfn6XiPzZ02zYLTgPvA/4u8B/BPw1YAa8XUS++jQbdhwi8vXALwMfBL4a+GLgh4D+abbrFvxD4FMX/j4LmAC/qapPn2Lb1iIirwX+DfAI8LcJff2TwH8F/LNTa9gxxGfuHUBO+P77BuAS8Osi8upTbFqbE33PRXHh7cBHCH3/94AvAX5WRE7j/0NP+v38V4CPA34deOYetMswDMMwDOPMY1Vg7iJR5PhZ4M2q+ra4TIDfAC6q6utOs33rEBGnqj6+/zKCiPM5qvqrp9mu4xCR+1T12YVl54APA7+iql9xKg27DUQkJ7T7A6r6uafdnkVE5GUE0eY7VfUfnXZ7Xggi8mbgJ4C/pqpnVUz4TuA7gFer6gdby99KEJ82VLU4peatRER+EXg98CpVncRl54APAT+nqn/5FJsHnPx7TkR+C+gBn9za/guAXwS+WlX/5Rltd3u73wFuquqb7mVbDcMwDMMwzhrmAXJ3+XJgD/jptECD4vTjwGtF5ONPq2HHkX40v5hYFD/ispvAB4CH73mDXgCqWhLGzZkyalu8Jb7+4Km24s7wjcAYuKdG7PMkjYO9heVpjFT3tjkn4lMJwuMkLYjP428AXyYi2Wk1LHGS7zkReQj408Bb29ur6i8BTwD3XFg96ffzi/F73DAMwzAM425jAsjd5fXAe1f8EP3d1nrjLiEilwl9/Pun3ZZbISJORHIReVBE/gHwsYRwnrPIZwF/ALw55lypYs6V/0ZEznIITAcRuUIIO/rXqrp/2u05hrcC14H/QUReKSI7IvKlwNcD33dGDd0+IZRrkRmwAXzMvW3ObZO+o1d9h/we9h1uGIZhGIbxoiI/7Qa8xLkIvH/F8uut9cZdIIYa/TBB5PvHp9yck/CvaGaT94G/pKo/f4rtOY4H498PAt8OvAf4XOA/A15GyPnwYuDrgQz40dNuyHGo6uMxp8ZPEUJIEt+jqt9+Oq26Je8F/qyISPR6Q0R6wKfE9ZcI3llnnfQdfX3FuuvAG+9hWwzDMAzDMIwXiHmA3H2OS7JiCVjuHt8LfBnw11X1D065LSfhWwnG4ZcQEi7+KxH5mtNt0locsA18k6r+kKr+qqr+l8D3A//xGUpyeSu+AfgjVf31027IcYjIK4CfAa4Swuo+B/hO4O+KyD88xaYdxw8CHw/8gIg8FPPG/DBNONpZ9Fo5jnXf1fYdbhiGYRiG8SLCBJC7yzVWe3lciK+rZhWNF4iI/FeEqip/S1V/7JSbcyJU9UOq+i5V/RlV/RrgF4AfOqUqE7fiWnz9hYXlPxdfz/ysuIh8BqFCxv902m05Af8NQXD686r6U1Fw+gfAfw18m4g8cqqtW4Gq/nPg7xNEpo8CjxP6O3ljPXk6LXvepLG+7nvcvsMNwzAMwzBeRJxF4+qlxHuA160wYt8QX898booXGyLyXcC3Ad+qqj9w2u15AfwWoUTu5dNuyAp+b81yia8vhtn9byQkD/3x027ICfgkQi6hycLydxO+w19775t0a1T1vyWEurwBeERVP40gGjymqh851cadnPfE11W5Pt6AfYcbhmEYhmG8qDAB5O7yNuAc8MULy78OeJ+qvveet+gljIh8ByEnxber6veedntul5i/5E3ATZoZ6LPET8bXL1pY/kWEkIB33dvmPD9EZBP4i8AvqOoTp92eE/Ak8HoR2VhY/qnx9cxeg6rOVPX3VfWx6KnyVcA/PeVmnRhV/ShBaPrLbSFbRD4PeIjmWTAMwzAMwzBeBFgS1LvL24F3AD8qIheBDxMSL34G8KWn2bBbISJfGd/+6fj62SJyCThS1Z9bs9upISJ/l5AX4f8AfjkmjUzMVPW3T6Vht0BE/hfgMeDfAc8BVwhj5HOB/3ssiXumUNWfF5GfI4ToXKJJgvq3gP+Pqj52qg28NV8FbAH//LQbckJ+gCCm/oKIfD+h/O2bCHljfllV13nknBoi8icJOXjeTaj88omEJLm/RcgVcyY44ffc/wv4ReD/KyI/TEgA/N8Cvwn8b/eyvYmTtDuWWU+l1neBXmu/d70InlPDMAzDMIw7jsQE/cZdQkR2gO8BvpLgDfJe4LtU9adOsVm3RETWDYzHVPWRe9mWkyAivwp89prVZ7LNACLyzYSqKR9LMFL2CEbjP1XVnznNth1H9KL4B8DXEMJ0Hgd+BPhHZ7Qsa42I/AYhbORBVS1Ouz0nQUQ+n5BT4w0E8eZR4H8F/jtVPTrFpq1ERF5LSHr6emCTUL3mXxDau6o87qlw0u85EfmPCOP9TwIHhIo836qqN+52G1dxknaLyHcC37Fmu7/6YsmPZBiGYRiGcScxAcQwDMMwDMMwDMMwjJc8lgPEMAzDMAzDMAzDMIyXPCaAGIZhGIZhGIZhGIbxkscEEMMwDMMwDMMwDMMwXvKYAGIYhmEYhmEYhmEYxkseE0AMwzAMwzAMwzAMw3jJYwKIYRiGYRiGYRiGYRgveUwAMQzDMAzDMAzDMAzjJY8JIIZh3DYicl5EpiKiIvK1t9h2R0S+XUT+vYgciMhYRN4rIt8rIvev2P6ReNx/eoJ2rNxWRB6Ny9PfoYg8LiJvF5H/h4ice94XbRiGYRiGYRjGixITQAzDeCH8ZaAPfBh4y7qNRORjgf8A/APgQ8DfB/428E7gbwHvEZFPvUtt/CjwV+Lf3wZ+BBgC/z3wPhH53Lt0XsMwDMMwDMMwzhD5aTfAMIwXNW8B3gH8NPD9IvIqVf1gewMR2QB+BngI+GJV/dnW6h8Wkf838MvAT4vIG1T1mTvcxj1V/Z8Xln2XiHw28L/H836Sqv7RHT6vYRiGYRiGYRhnCPMAMQzjthCRNwKfCPw48L8ABfBXV2z6FuBjgX+yIH4AoKrvBr4NuAx8y91q74rz/hrwd4EtgkeKYRiGYRiGYRgvYUwAMQzjdnkLcAT8hKpeA34W+HoRWfxe+cr4+s+OOdaPEQSUr7jTjbwFbwVmwBfd4/MahmEYhmEYhnGPMQHEMIznjYgMga8B/rWqHsXFPw48DPy5hc1fDxwcF2KiqmPgfcAjIrJ1F5q87rwz4P3AFRHZvlfnNQzDMAzDMAzj3mMCiGEYt8ObgfME0SPxs8CzwDcubLsD7J3gmGmb3RfcuufHfnzducfnNQzDMAzDMAzjHmJJUA3DuB3eAlwFPioir24t/yXgL4rIJVV9Li7b52TiQtrmJGLJnSSdd//YrQzDMAzDMAzDeFFjAohhGM8LEXkl8DmAEMJHVvG1wPfH978PfJaIvHpdGEysFPNxwKOqenhnW7weERkQErQ+paoH9+q8hmEYhmEYhmHce0wAMQzj+fJXCeLHfwrcXLH+uwkeIt8fP/8k8FnAf8L6aitfB/TjtveSvwIMCOE7hmEYhmEYhmG8hDEBxDCMExMrvHwD8Huq+iNrtvkTwHeKyJ9W1XcBPwJ8M/B3RORXVfXnF7Z/I/BfE0Jqvvdutn/hvJ8NfB9wEM9vGIZhGIZhGMZLGBNADMN4Pnwh8DLgR4/Z5ieA7yR4gbxLVY9E5EuAnwd+VkR+AvhVoAQ+heCFcQh8mao+fRfavCsiXxvfD4AHCSE8byIkbf1qVf3QXTivYRiGYRiGYRhnCBNADMN4Prwlvq4NVVHV3xeR9wNfLSJ/R1UnqvoHIvIJwN8iVJD5IiADHgN+EPjHd0n8gFCa963x/QS4RshL8reBf6GqN+/SeQ3DMAzDMAzDOEOIqp52GwzDMAzDMAzDMAzDMO4q7rQbYBiGYRiGYRiGYRiGcbcxAcQwDMMwDMMwDMMwjJc8JoAYhmEYhmEYhmEYhvGSxwQQwzAMwzAMwzAMwzBe8pgAYhiGYRiGYRiGYRjGSx4TQAzDMAzDMAzDMAzDeMljAohhGIZhGIZhGIZhGC95TAAxDMMwDMMwDMMwDOMljwkghmEYhmEYhmEYhmG85DEBxDAMwzAMwzAMwzCMlzz/f3O89lImMLdEAAAAAElFTkSuQmCC)
diff --git a/alpha-lab/index.md b/alpha-lab/index.md
new file mode 100644
index 000000000..89595a002
--- /dev/null
+++ b/alpha-lab/index.md
@@ -0,0 +1,81 @@
+---
+# https://vitepress.dev/reference/default-theme-home-page
+layout: AlphaPageLayout
+sidebar: false
+title: Home
+
+hero:
+  title: "Alpha Lab"
+  tagline:
+    [
+      "Pupil Labs is made up of people who are curious by nature. We are researchers, designers, toolmakers, and professional tinkerers. We enjoy building quick prototypes and demos to explore our curiosities. We built Alpha  Lab so that we can have a centralized place to collect the results of our explorations and to share it with the world.",
+      "Alpha Lab is not a place for official product documentation. Everything you find here should be considered a work in progress, and may even be a bit rough around the edges. That is the nature of exploration!",
+      "We encourage you to read through the results and go further - play around, build from the ideas here, hack away!",
+    ]
+
+cards:
+  - title: Define AOIs and Calculate Gaze Metrics
+    details: Here we demonstrate how to make areas of interest using data downloaded from Pupil Cloud’s Reference Image Mapper.
+    link:
+      {
+        text: View,
+        href: "/alpha-lab/gaze-metrics-in-aois/#define-aois-and-calculate-gaze-metrics",
+      }
+    image: "/alpha-lab/aoi-demo.webp"
+  - title: Map and visualise gaze onto a display content using the Reference Image Mapper
+    details: Here we show you how you can use Pupil Cloud’s Reference Image Mapper to map gaze onto dynamic on-screen content - like a video.
+    link:
+      {
+        text: View,
+        href: "/alpha-lab/map-your-gaze-to-a-2d-screen/#map-and-visualise-gaze-onto-a-display-content-using-the-reference-image-mapper",
+      }
+    image: "/alpha-lab/map-gaze-screen.webp"
+  - title: Map gaze onto body parts using DensePose
+    details: Use detectron's densepose AI to segment and know at which part of a body a person is looking.
+    link:
+      {
+        text: View,
+        href: "/alpha-lab/dense-pose/#map-gaze-onto-body-parts-using-densepose",
+      }
+    image: "/alpha-lab/map-gaze-body.webp"
+  - title: Map and visualize gaze on multiple reference images taken from the same environment
+    details: We pushed the limits of markerless mapping with Pupil Cloud’s Reference Image Mapper - scanning an entire apartment.
+    link:
+      {
+        text: View,
+        href: "/alpha-lab/multiple-rim/#map-and-visualize-gaze-on-multiple-reference-images-taken-from-the-same-environment",
+      }
+    image: "/alpha-lab/multiple-ref-mapper-enrich.webp"
+  - title: Generate static and dynamic scanpaths with Reference Image Mapper
+    details: Discover how to generate static and dynamic scanpaths with Pupil Cloud's Reference Image Mapper.
+    link:
+      {
+        text: View,
+        href: "/alpha-lab/scanpath-rim/#generate-static-and-dynamic-scanpaths-with-reference-image-mapper",
+      }
+    image: "/alpha-lab/gen-scanpath-rim.webp"
+  - title: Uncover gaze behaviour on phone screens with Neon
+    details: Use Neon and existing Alpha Lab content to capture and characterise viewing behaviour on mobile phone screens.
+    link:
+      {
+        text: View,
+        href: "/alpha-lab/phone-neon/#uncover-gaze-behaviour-on-phone-screens-with-neon",
+      }
+    image: "/alpha-lab/gaze-behavior-phone-neon.webp"
+  - title: Create 3D Models of your environment using Reference Image Mapper and nerfstudio
+    details: Create 3D Models of your environment using the reference image mapper and NerfStudio
+    link:
+      {
+        text: View,
+        href: "/alpha-lab/nerfs/#create-3d-models-of-your-environment-using-reference-image-mapper-and-nerfstudio",
+      }
+    image: "/alpha-lab/map-gaze-3d-nerf.webp"
+  - title: A practical guide to implementing gaze contingency for assistive technology
+    details: Build gaze-contingent assistive applications with Neon!
+    link:
+      {
+        text: View,
+        href: "/alpha-lab/gaze-contingency-assistive/#a-practical-guide-to-implementing-gaze-contingency-for-assistive-technology",
+      }
+    image: "/alpha-lab/build-gaze-assistive-neon.webp"
+---
diff --git a/src/media/alpha-lab/download_rim.png b/alpha-lab/map-your-gaze-to-a-2d-screen/download_rim.png
similarity index 100%
rename from src/media/alpha-lab/download_rim.png
rename to alpha-lab/map-your-gaze-to-a-2d-screen/download_rim.png
diff --git a/src/alpha-lab/map-your-gaze-to-a-2d-screen.md b/alpha-lab/map-your-gaze-to-a-2d-screen/index.md
similarity index 88%
rename from src/alpha-lab/map-your-gaze-to-a-2d-screen.md
rename to alpha-lab/map-your-gaze-to-a-2d-screen/index.md
index b9e0ac8a0..861379993 100644
--- a/src/alpha-lab/map-your-gaze-to-a-2d-screen.md
+++ b/alpha-lab/map-your-gaze-to-a-2d-screen/index.md
@@ -4,12 +4,17 @@ permalink: /alpha-lab/map-your-gaze-to-a-2d-screen/
 tags: [Pupil Invisible, Neon, Cloud]
 ---
 
+<script setup>
+import TagLinks from '@components/TagLinks.vue'
+</script>
+
 # Map and visualise gaze onto a display content using the Reference Image Mapper
 
-<TagLinks />
+<TagLinks :tags="$frontmatter.tags" />
+
 <Youtube src="OXIUjIzCplc"/>
 
-In this guide, we will show you how to map and visualise gaze onto a screen with dynamic content, e.g. a video, web browsing or any other content of your choice, using the [Reference Image Mapper](/enrichments/reference-image-mapper) enrichment and a few clicks.
+In this guide, we will show you how to map and visualise gaze onto a screen with dynamic content, e.g. a video, web browsing or any other content of your choice, using the [Reference Image Mapper](https://docs.pupil-labs.com/pupil-cloud/enrichments/reference-image-mapper/) enrichment and a few clicks.
 
 ::: tip
 **Note:** This tutorial requires some technical knowledge, but don't worry. We made it almost click and run for you! You can learn as much or as little as you like.
@@ -17,7 +22,7 @@ In this guide, we will show you how to map and visualise gaze onto a screen with
 
 ## What you'll need
 
-Before continuing, ensure you are familiar with the [Reference Image Mapper](/enrichments/reference-image-mapper) enrichment. Check out [this explainer video](https://www.youtube.com/watch?v=ygqzQEzUIS4&t=56s) for reference.
+Before continuing, ensure you are familiar with the [Reference Image Mapper](https://docs.pupil-labs.com/pupil-cloud/enrichments/reference-image-mapper/) enrichment. Check out [this explainer video](https://www.youtube.com/watch?v=ygqzQEzUIS4&t=56s) for reference.
 
 We recommend you run the enrichment, e.g. with a short recording of your desktop + monitor/screen to ensure it's working okay. Once satisfied, you can use the same reference image + scanning recording for your dynamic screen content.
 
@@ -36,34 +41,25 @@ Let's assume you have everything ready to go – your participant is sat infron
 
 So that we can capture your participant's visual interactions with the screen content, we will need to make sure that both the _eye tracking_ **and** _screen recordings_ happen at the same time.
 
-Importantly, both sources (eye tracking and screen recording) record individually. As such, you'll need what we call an [event annotation](/invisible/basic-concepts/events/) to synchronise them later.
+Importantly, both sources (eye tracking and screen recording) record individually. As such, you'll need what we call an [event annotation](https://docs.pupil-labs.com/neon/general/events/) to synchronise them later.
 
-The [event annotation](/invisible/basic-concepts/events/) should be used to indicate the beginning of the _screen content recording_ in the _eye tracking recording_, and be named `start.video`.
-Check [here](/invisible/basic-concepts/events/) how you can create these events in the Cloud.
+The [event annotation](https://docs.pupil-labs.com/neon/general/events/) should be used to indicate the beginning of the _screen content recording_ in the _eye tracking recording_, and be named `start.video`.
+Check [here](https://docs.pupil-labs.com/neon/general/events/) how you can create these events in the Cloud.
 
 ::: tip
 **Tip:**
 When you initiate your recordings, you'll need to know when the screen recording started, relative to your eye tracking recording. Thus, start your eye tracker recording first, and make sure that the eye tracker scene camera faces the OBS program on the screen. Then, start the screen recording.
-<br>
-<br>
-By looking at the screen when you press the button, you'll have a visual reference to create the [event annotation](/invisible/basic-concepts/events/) later in Cloud.
-<br>
-<br>
+
+By looking at the screen when you press the button, you'll have a visual reference to create the [event annotation](https://docs.pupil-labs.com/neon/general/events/) later in Cloud.
+
 **Recap**: Eye tracking **first**; screen recording **second**
 :::
 
 ## Once you have everything recorded
 
-- Create a new [Reference Image Mapper](/enrichments/reference-image-mapper) enrichment, or add your new eye tracking recordings to an existing enrichment. Run the enrichment, and download the results by right-clicking the enrichment in Cloud once it's computed (see the screenshot below).
+- Create a new [Reference Image Mapper](https://docs.pupil-labs.com/pupil-cloud/enrichments/reference-image-mapper/) enrichment, or add your new eye tracking recordings to an existing enrichment. Run the enrichment, and download the results by right-clicking the enrichment in Cloud once it's computed (see the screenshot below).
 
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    class="rounded"
-    :src="require('../media/alpha-lab/download_rim.png')"
-    max-width=400px
-  >
-  </v-img>
-</div>
+![Download Reference Image Mapper results](./download_rim.png)
 
 - Now you'll need to get the raw data from your new recording(s). Download the raw data by clicking on downloads at the bottom left side of the page in the project's view.
 
@@ -90,14 +86,7 @@ We can't choose the video for you 😉!
 
 Use the left button on your mouse to select the points. A red dot will let you know if a point has been chosen when clicked, and if you want to remove the last point, use the right button of your mouse. When the four corners are selected, you will need to press “**Q**”.
 
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    class="rounded"
-    :src="require('../media/alpha-lab/screen_corners.png')"
-    max-width=300px
-  >
-  </v-img>
-</div>
+![Select screen corners](./screen_corners.png)
 
 5. Select the folder where you want to save the final video and the CSV file with the gaze coordinates transformed to screen coordinates. (0,0) corresponds to the upper left corner.
 
diff --git a/src/media/alpha-lab/screen_corners.png b/alpha-lab/map-your-gaze-to-a-2d-screen/screen_corners.png
similarity index 100%
rename from src/media/alpha-lab/screen_corners.png
rename to alpha-lab/map-your-gaze-to-a-2d-screen/screen_corners.png
diff --git a/src/media/alpha-lab/cupboard-heatmap.jpeg b/alpha-lab/multiple-rim/cupboard-heatmap.jpeg
similarity index 100%
rename from src/media/alpha-lab/cupboard-heatmap.jpeg
rename to alpha-lab/multiple-rim/cupboard-heatmap.jpeg
diff --git a/alpha-lab/multiple-rim/cupboard-heatmap.webp b/alpha-lab/multiple-rim/cupboard-heatmap.webp
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diff --git a/src/media/alpha-lab/cupboard.jpeg b/alpha-lab/multiple-rim/cupboard.jpeg
similarity index 100%
rename from src/media/alpha-lab/cupboard.jpeg
rename to alpha-lab/multiple-rim/cupboard.jpeg
diff --git a/alpha-lab/multiple-rim/cupboard.webp b/alpha-lab/multiple-rim/cupboard.webp
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diff --git a/src/media/alpha-lab/desk-heatmap.jpeg b/alpha-lab/multiple-rim/desk-heatmap.jpeg
similarity index 100%
rename from src/media/alpha-lab/desk-heatmap.jpeg
rename to alpha-lab/multiple-rim/desk-heatmap.jpeg
diff --git a/alpha-lab/multiple-rim/desk-heatmap.webp b/alpha-lab/multiple-rim/desk-heatmap.webp
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diff --git a/src/media/alpha-lab/desk.jpeg b/alpha-lab/multiple-rim/desk.jpeg
similarity index 100%
rename from src/media/alpha-lab/desk.jpeg
rename to alpha-lab/multiple-rim/desk.jpeg
diff --git a/alpha-lab/multiple-rim/desk.webp b/alpha-lab/multiple-rim/desk.webp
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diff --git a/alpha-lab/multiple-rim/index.md b/alpha-lab/multiple-rim/index.md
new file mode 100644
index 000000000..b95734655
--- /dev/null
+++ b/alpha-lab/multiple-rim/index.md
@@ -0,0 +1,170 @@
+---
+description: A living space - working with multiple reference images
+tags: [Pupil Invisible, Neon, Cloud]
+refImages:
+  [
+    { url: "./desk.webp", alt: "Desk" },
+    { url: "./tv1.webp", alt: "TV1" },
+    { url: "./tv2.webp", alt: "TV2" },
+    { url: "./table.webp", alt: "Table" },
+    { url: "./kitchen.webp", alt: "Kitchen" },
+    { url: "./cupboard.webp", alt: "Cupboard" },
+  ]
+refHeatmapImages:
+  [
+    { url: "./desk-heatmap.webp", alt: "Desk heatmap" },
+    { url: "./tv1-heatmap.webp", alt: "TV1 heatmap" },
+    { url: "./tv2-heatmap.webp", alt: "TV2 heatmap" },
+    { url: "./table-heatmap.webp", alt: "Table heatmap" },
+    { url: "./kitchen-heatmap.webp", alt: "Kitchen heatmap" },
+    { url: "./cupboard-heatmap.webp", alt: "Cupboard heatmap" },
+  ]
+---
+
+<script setup>
+import TagLinks from '@components/TagLinks.vue'
+import ImageGrid from '@components/ImageGrid.vue'
+</script>
+
+# Map and visualize gaze on multiple reference images taken from the same environment
+
+<TagLinks :tags="$frontmatter.tags" />
+
+<Youtube src="CLNDE0VJVng" />
+
+::: tip
+Level-up your Reference Image Mapper workflow to extract insights from participants freely exploring their environment!
+:::
+
+## Exploring gaze patterns in multiple regions of an environment
+
+Understanding where people focus their gaze while exploring their environment is a topic of interest for researchers in
+diverse fields, ranging from Art and Architecture to Zoology. The [Reference Image Mapper](https://docs.pupil-labs.com/pupil-cloud/enrichments/reference-image-mapper/)
+enrichment in Pupil Cloud makes it possible to map gaze onto 3D real-world environments and generate heatmaps. These provide
+an informative overview of visual exploration patterns and also pave the way for further analysis, such as region of interest analysis.
+
+In this guide, we will demonstrate how to use the [Reference Image Mapper](https://docs.pupil-labs.com/pupil-cloud/enrichments/reference-image-mapper/) to map a
+participant's gaze onto various regions of a living environment as they freely navigate through it.
+
+::: tip
+Before continuing, ensure you are familiar with the [Reference Image Mapper](https://docs.pupil-labs.com/pupil-cloud/enrichments/reference-image-mapper/) enrichment.
+Check out [this explainer video](https://www.youtube.com/watch?v=ygqzQEzUIS4&t=56s) for reference.
+:::
+
+## The tools at hand
+
+The [Reference Image Mapper](https://docs.pupil-labs.com/pupil-cloud/enrichments/reference-image-mapper/) enables mapping of gaze onto a
+_single_ reference image of an environment. However, there is often a need to analyze _multiple_ regions for a more in-depth
+understanding of visual exploration. This guide demonstrates how to accomplish this by applying the enrichment multiple
+times during the same recording to generate mappings and heatmaps for different regions.
+
+## Steps
+
+For the analysis, we will need the following:
+
+- Multiple reference images of the environment
+- Single or multiple scanning recordings. The choice of whether to use single or multiple scanning recordings depends on
+  the dimensions of the space to be explored (see below for examples)
+- An eye tracking recording taken as the participant(s) move freely within the environment
+- User-inputted [events](https://docs.pupil-labs.com/neon/general/events/) to segment the recording(s) into [sections](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/#enrichment-sections) based on
+  the areas the person was looking at
+
+1. **Capture Reference Images:** Take pictures of the areas or objects within the environment you wish to investigate. Here are some example pictures of different areas and pieces of furniture in our environment (a living room, dining area, and kitchen):
+
+<!-- <ImageGrid cols="5" :images="$frontmatter.refImages" /> -->
+
+<div class="grid grid-cols-3 gap-4">
+    <div class="image-column">
+        <img src="./desk.jpeg" alt="Desk" class="image">
+    </div>
+    <div class="image-column">
+        <img src="./tv1.jpeg" alt="TV1" class="image">
+    </div>
+    <div class="image-column">
+        <img src="./tv2.jpeg" alt="TV2" class="image">
+    </div>
+    <div class="image-column">
+        <img src="./table.jpeg" alt="Table" class="image">
+    </div>
+    <div class="image-column">
+        <img src="./kitchen.jpeg" alt="Kitchen" class="image">
+    </div>
+    <div class="image-column">
+        <img src="./cupboard.jpeg" alt="Cupboard" class="image">
+    </div>
+</div>
+
+<div style="margin-bottom: 50px;"></div>
+
+2. **Record Scanning Videos:** For this guide, we used _five_ separate scanning recordings to cover the environment. If you have a bigger or more complex environment, it might be necessary to use more. On the other hand, it might be possible to use fewer if you have a smaller environment or if you can capture sufficient data. Remember, each scanning recording must be **under 3 minutes in duration**.
+
+Check out these videos which show how we made the scans (also be sure to follow our [best practices](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/reference-image-mapper/#scanning-best-practices) for optimal scanning):
+
+::: tip
+The Reference Image Mapper prefers feature-rich environments. If you have large plain surfaces, like empty tables or countertops,
+consider placing some strategic items within the environment to increase the chances of successful mapping.
+:::
+
+<div class="grid grid-cols-2 gap-4">
+  <div>
+    <iframe
+      class="w-full aspect-[4/3]" 
+      src="https://www.youtube.com/embed/jeL8gs053lg?si=6wlx4fjxlfiqrbRq" frameborder="0"
+      allow="accelerometer; encrypted-media; gyroscope; picture-in-picture"
+      allowfullscreen
+    ></iframe>
+  </div>
+  <div>
+    <iframe
+      class="w-full aspect-[4/3]"
+      src="https://www.youtube.com/embed/zksTzVkGifk?si=3bxl0eKOgRbfoes-" frameborder="0"
+      allow="accelerometer; encrypted-media; gyroscope; picture-in-picture"
+      allowfullscreen
+    ></iframe>
+  </div>
+  <div>
+    <iframe
+      class="w-full aspect-[4/3]"
+      src="https://www.youtube.com/embed/Bg_SiFByceY?si=d2koC7-V7bbrYL3h" frameborder="0"
+      allow="accelerometer; encrypted-media; gyroscope; picture-in-picture"
+      allowfullscreen
+    ></iframe>
+  </div>
+  <div>
+    <iframe
+      class="w-full aspect-[4/3]"
+      src="https://www.youtube.com/embed/0r8oAn2AZMQ?si=SbSVHedGTJ4Zshfw" frameborder="0"
+      allow="accelerometer; encrypted-media; gyroscope; picture-in-picture"
+      allowfullscreen
+    ></iframe>
+  </div>
+  <div>
+    <iframe
+      class="w-full aspect-[4/3]"
+      src="https://www.youtube.com/embed/fmy9F8Q9eW0?si=F7q399iZHGW2kArv" frameborder="0"
+      allow="accelerometer; encrypted-media; gyroscope; picture-in-picture"
+      allowfullscreen
+    ></iframe>
+  </div>
+</div>
+
+3. **Eye Tracking Recordings:** Make an eye tracking recording while the participant(s) freely explore and visually interact with various elements within the environment. (You can of course make these prior to the reference images and scanning recordings).
+
+<div style="margin-bottom: 5px;"></div>
+
+4. **Add Custom Events:** During the eye tracking recording, users may focus on a specific region once or multiple times. I.e. they may revisit that region. By adding custom [event](https://docs.pupil-labs.com/neon/general/events/) annotations corresponding to these periods, you can create [sections](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/#enrichment-sections) for the enrichments to be computed. This enables you to run each enrichment only on the section(s) of recording where a certain region is being gazed at. For this guide, we used the following event annotations to run five Reference Image Mapper enrichments:
+
+   - Desk: `desk.begin` and `desk.end`
+   - TV area 1: `tv1.begin` and `tv1.end`
+   - TV area 2: `tv2.begin` and `tv2.end`
+   - Table: `table.begin` and `table.end`
+   - Kitchen: `kitchen.begin` and `kitchen.end`
+   - Cupboard: `cupboard.begin` and `cupboard.end`
+
+5. **Create and run the enrichments:** You will need to create a separate enrichment for each reference image. A reasonable naming scheme _could_ correspond to each area of the environment, like ‘cupboard’, ‘desk’ etc. In the temporal selection of each enrichment, be sure to use the appropriate events labels. E.g. for ‘cupboard’, you would use `cupboard.begin` and `cupboard.end`. Now, run the enrichments to map the subject's gaze from the recording onto the multiple reference images you captured.
+
+## Final results
+
+Once the enrichments are completed, you can view the heatmaps which illustrate areas which attracted more gaze. Additionally, you'll have the option to download gaze and fixation data mapped within the bounds of the pictures, enabling you to conduct further in-depth analyses.
+
+<ImageGrid cols="3" :images="$frontmatter.refHeatmapImages" />
diff --git a/src/media/alpha-lab/kitchen-heatmap.jpeg b/alpha-lab/multiple-rim/kitchen-heatmap.jpeg
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rename from src/media/alpha-lab/tv2-heatmap.jpeg
rename to alpha-lab/multiple-rim/tv2-heatmap.jpeg
diff --git a/alpha-lab/multiple-rim/tv2-heatmap.webp b/alpha-lab/multiple-rim/tv2-heatmap.webp
new file mode 100644
index 000000000..f2b960400
Binary files /dev/null and b/alpha-lab/multiple-rim/tv2-heatmap.webp differ
diff --git a/src/media/alpha-lab/tv2.jpeg b/alpha-lab/multiple-rim/tv2.jpeg
similarity index 100%
rename from src/media/alpha-lab/tv2.jpeg
rename to alpha-lab/multiple-rim/tv2.jpeg
diff --git a/alpha-lab/multiple-rim/tv2.webp b/alpha-lab/multiple-rim/tv2.webp
new file mode 100644
index 000000000..c1db1f869
Binary files /dev/null and b/alpha-lab/multiple-rim/tv2.webp differ
diff --git a/src/neon/how-tos/data-collection/using-capture.md b/alpha-lab/neon-with-capture/index.md
similarity index 90%
rename from src/neon/how-tos/data-collection/using-capture.md
rename to alpha-lab/neon-with-capture/index.md
index dd3f171be..62730ed33 100644
--- a/src/neon/how-tos/data-collection/using-capture.md
+++ b/alpha-lab/neon-with-capture/index.md
@@ -1,7 +1,3 @@
----
-description: This article explains how to use the Neon with Pupil Capture and its caveats.
-permalink: /neon/how-tos/data-collection/using-capture
----
 # Use the Neon module with Pupil Capture
 
 It's possible to make recordings using Neon in Pupil Capture under MacOS and Linux. You can use the Neon module as if it was a Pupil Core headset by plugging it into your Computer and running Pupil Capture from [source](https://github.com/pupil-labs/pupil/tree/master). 
diff --git a/src/alpha-lab/nerfs.md b/alpha-lab/nerfs/index.md
similarity index 91%
rename from src/alpha-lab/nerfs.md
rename to alpha-lab/nerfs/index.md
index 614cc0a6c..2dcd640b1 100644
--- a/src/alpha-lab/nerfs.md
+++ b/alpha-lab/nerfs/index.md
@@ -4,17 +4,24 @@ description: "Nerfing your eye tracking recordings: use nerfstudio to create 3D
 permalink: /alpha-lab/nerfs
 tags: [Pupil Invisible, Neon, Cloud]
 ---
+
+<script setup>
+import TagLinks from '@components/TagLinks.vue'
+</script>
+
 <!-- <head> <script type="module" src="https://ajax.googleapis.com/ajax/libs/model-viewer/3.0.1/model-viewer.min.js"></script> </head> -->
+
 # Create 3D Models of your environment using Reference Image Mapper and nerfstudio
 
-<TagLinks />
+<TagLinks :tags="$frontmatter.tags" />
+
 <Youtube src="7W2DCkPfFLE"/>
 
 ::: danger
-🕰️ - *Great Scott! This content is highly experimental. Using it will take you on a wild ride into the future, but beware - you'll be going solo. Consider yourself warned!* 🎢
+🕰️ - _Great Scott! This content is highly experimental. Using it will take you on a wild ride into the future, but beware - you'll be going solo. Consider yourself warned!_ 🎢
 :::
 
-If you watched the accompanying video, you have witnessed 3D environment reconstructions based on eye tracking recordings. In essence, we have explored how to augment the output of our [Reference Image Mapper enrichment](/enrichments/reference-image-mapper/) to show a third person view of an eye tracking recording. Other wordly, huh?
+If you watched the accompanying video, you have witnessed 3D environment reconstructions based on eye tracking recordings. In essence, we have explored how to augment the output of our [Reference Image Mapper enrichment](https://docs.pupil-labs.com/pupil-cloud/enrichments/reference-image-mapper/) to show a third person view of an eye tracking recording. Other wordly, huh?
 
 A third person view allows you to see more of the environment and how your partipant explores and visually interacts with it. Let's break it down – in the video, the green points (actually camera frustrums) denote where the “user’s head” was during the recording, while the yellow line illustrates a gaze ray from the head to the object that's looked at. You can also see a 3D heat-map showing which areas attracted attention.
 
@@ -42,7 +49,7 @@ Under the hood, nerfstudio is built on top of PyTorch and PyQt, and uses ZeroMQ,
 
 ## Great, how can I generate my own?
 
-This is not gonna be an easy path... 
+This is not gonna be an easy path...
 
 <details>
     <summary>But if you insist...</summary><br>
@@ -60,6 +67,7 @@ Follow nerfstudio [installation guide](https://docs.nerf.studio/quickstart/insta
 Alternatively, here is the basic code to create a [*conda*](https://anaconda.org/) environment that can run this:
 
 Creating the CONDA environment and installing COLMAP:
+
 ```bash
 conda create --name {ENV_NAME} python=3.8
 conda activate {ENV_NAME}
@@ -69,7 +77,7 @@ pip install -U pip setuptools
 
 Checkout which CUDA version you have and install the appropiate pytorch and torchvision wheels.
 
-```bash 
+```bash
 pip install torch torchvision functorch --extra-index-url https://download.pytorch.org/whl/cu117
 pip install git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
 ```
@@ -94,7 +102,7 @@ pip install -e .
 ```
 
 Cloning the nerfstudio repository at 0.1.19, and installing it:
-  
+
 ```bash
 cd ..
 git clone https://github.com/nerfstudio-project/nerfstudio.git nerfstudio_git #Clone it at 0.1.16
@@ -104,20 +112,21 @@ pip install -e .
 ```
 
 If everything went sucessfully, it will take you around 20 minutes to install everything.
-    
+
 ### Generate a token
+
 Now, you will need a developer token from Pupil Cloud, so click on your profile picture at the top right of the page, select "Account Settings" on the drop-down. On the left side panel click on the "Developer" section and "New Token".
 
 Once showing, copy the token. Note that you won't be able to see it again, so please store it securely and if you ever doubt if you expose it, delete it and create a new one.
 
 <!-- <div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require('../media/alpha-lab/generate-token.png')" 
-  width="100%" 
+  <v-img class="rounded" :src="require('../media/alpha-lab/generate-token.png')"
+  width="100%"
   alt="Screenshot of Cloud Developer's page with tokens generated"
   title="Screenshot of Cloud Developer's page with tokens generated" />
 </div> -->
 <!-- TODO: UPDATE IMAGE -->
-    
+
 ### Time to define your parameters
 
 Navigate to your `pyflux` folder. Inside the `pyflux` repository folder you will find a `config.json` file where you can directly change the paths, IDs and token to your own. See the description below for a better understanding of each field.
@@ -127,7 +136,7 @@ Navigate to your `pyflux` folder. Inside the `pyflux` repository folder you will
     "NERFSTUDIO_PATH": "/nerfstudio", # Path to your nerfstudio git clone
     "BASE_PATH": "/nerf_dir", # Path for a working directory, whichever you want
     "API_KEY": "XgZUjCbXbZwjg2v4JzCs6hbkygjsYWHTBSooXXXXXXXX", # API key from Pupil Cloud
-    "WORKSPACE_ID": "f66d330c-1fa1-425d-938a-36be565XXXXX", 
+    "WORKSPACE_ID": "f66d330c-1fa1-425d-938a-36be565XXXXX",
     "PROJECT_ID": "29119766-3635-4f0f-af57-db0896dXXXXX",
     "ENRICHMENT_ID": "95882476-0a10-4d8e-9941-fe0f77eXXXXX",
     "EXPERIMENT_NAME": "building", # The experiment name of your choice
@@ -135,37 +144,32 @@ Navigate to your `pyflux` folder. Inside the `pyflux` repository folder you will
     "far_plane": 7.0 # Far plane clip for the OpenGL visualisation
 }
 ```
-    
+
 ### Time to run it.
-    
+
 With the conda environment active, the ids set on the config file and on the pyflux folder, we will run the following comands in the terminal:
-    
+
 `python prepare_enrichment.py`
 
 This will download ALL recordings in the enrichment to `{BASE_PATH}/{EXPERIMENT_NAME}` that we defined on the JSON file. It will also prepare a set of frames to be used by NERF.
-    
+
 #### Time to "cherry pick" frames
-    
+
 It's time for some manual labour, so navigate to `{BASE_PATH}/{EXPERIMENT_NAME}/raw_frames` and remove all those frames where there is any occlusion, such as the Companion Device (phone) or body parts (like your hands). Otherwise, you will end up with a weird mesh or fancy piece of abstract art.
 
 ### Continue running it
-    
+
 Run `python pyflux/consolidate_raw_frames.py` in your terminal, to reorganise the frames.
-    
-Run `python pyflux/run_nerfstudio.py`, this will run colmap on the selected frames, train the NeRF and export the mesh. 
-    
+
+Run `python pyflux/run_nerfstudio.py`, this will run colmap on the selected frames, train the NeRF and export the mesh.
+
 ::: warning
-Depending on amount of GPU RAM, running the mesh export from the same run as the NeRF training causes problems. <br> In that case run `run_nerfstudio.py` again, only for the export (set flags in code). <br> You will also have to get the right value for timestamp from the `{BASE_PATH}/outputs/{EXPERIMENT_NAME}/nerfacto` folder. 
+Depending on amount of GPU RAM, running the mesh export from the same run as the NeRF training causes problems. <br> In that case run `run_nerfstudio.py` again, only for the export (set flags in code). <br> You will also have to get the right value for timestamp from the `{BASE_PATH}/outputs/{EXPERIMENT_NAME}/nerfacto` folder.
 :::
 
 If you got to here, congrats! You are almost there. By now, you should already have a 3D model, like the one below:
-    
-<div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require('../media/alpha-lab/nerf.png')" 
-  width="100%" 
-  alt="An example of a 3D model generated by NeRF of a building faccade in Berlin"
-  title="An example of a 3D model generated by NeRF of a building faccade in Berlin" />
-</div>
+
+![An example of a 3D model generated by NeRF of a building faccade in Berlin](./nerf.png)
 
 <!-- <template>
   <div>
@@ -180,20 +184,18 @@ If you got to here, congrats! You are almost there. By now, you should already h
   </div>
 </template> -->
 
-
 ### To Blender!
-    
+
 Now it's time again for more manual fine-tuning, you will need to use [Blender](https://www.blender.org/) or Maya to open the mesh export `.obj` `({BASE_PATH}/exports/{EXPERIMENT_NAME}/mesh.obj)`, prune it if necesary, and export it as `.ply` format.
 
-    
 ### Almost there!
-    
+
 The only step missing now is to generate a video like the one on the header of this article. Let's create the visualisation!
-    
+
 `python pyflux/viz/rimviz.py`
-    
-This will open a new window on your computer with OpenGL and create a visualisation. So there you go! 
-    
+
+This will open a new window on your computer with OpenGL and create a visualisation. So there you go!
+
 You can close anytime the visualisation by pressing `ESC` or it will close after the recording is over.
 
 ::: warning
diff --git a/src/media/alpha-lab/nerf.png b/alpha-lab/nerfs/nerf.png
similarity index 100%
rename from src/media/alpha-lab/nerf.png
rename to alpha-lab/nerfs/nerf.png
diff --git a/alpha-lab/package-lock.json b/alpha-lab/package-lock.json
new file mode 100644
index 000000000..f1b54b2a3
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+      "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
+      "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
+      "dev": true
+    },
+    "node_modules/yaml": {
+      "version": "2.3.4",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.3.4.tgz",
+      "integrity": "sha512-8aAvwVUSHpfEqTQ4w/KMlf3HcRdt50E5ODIQJBw1fQ5RL34xabzxtUlzTXVqc4rkZsPbvrXKWnABCD7kWSmocA==",
+      "dev": true,
+      "engines": {
+        "node": ">= 14"
+      }
+    }
+  }
+}
diff --git a/alpha-lab/package.json b/alpha-lab/package.json
new file mode 100644
index 000000000..de70b61a5
--- /dev/null
+++ b/alpha-lab/package.json
@@ -0,0 +1,15 @@
+{
+  "devDependencies": {
+    "autoprefixer": "^10.4.16",
+    "postcss": "^8.4.31",
+    "pug": "^3.0.2",
+    "tailwindcss": "^3.3.5",
+    "vitepress": "^1.0.0-rc.24",
+    "vue-pug-plugin": "^2.0.3"
+  },
+  "scripts": {
+    "docs:dev": "vitepress dev",
+    "docs:build": "vitepress build",
+    "docs:preview": "vitepress preview"
+  }
+}
diff --git a/src/media/alpha-lab/1.phone-heatmap.jpeg b/alpha-lab/phone-neon/1.phone-heatmap.jpeg
similarity index 100%
rename from src/media/alpha-lab/1.phone-heatmap.jpeg
rename to alpha-lab/phone-neon/1.phone-heatmap.jpeg
diff --git a/src/media/alpha-lab/2.phone-nadia_scanpath.jpeg b/alpha-lab/phone-neon/2.phone-nadia_scanpath.jpeg
similarity index 100%
rename from src/media/alpha-lab/2.phone-nadia_scanpath.jpeg
rename to alpha-lab/phone-neon/2.phone-nadia_scanpath.jpeg
diff --git a/src/media/alpha-lab/3.phone-dwell-time.png b/alpha-lab/phone-neon/3.phone-dwell-time.png
similarity index 100%
rename from src/media/alpha-lab/3.phone-dwell-time.png
rename to alpha-lab/phone-neon/3.phone-dwell-time.png
diff --git a/src/media/alpha-lab/4.phone-first-contact.png b/alpha-lab/phone-neon/4.phone-first-contact.png
similarity index 100%
rename from src/media/alpha-lab/4.phone-first-contact.png
rename to alpha-lab/phone-neon/4.phone-first-contact.png
diff --git a/src/alpha-lab/phone-neon.md b/alpha-lab/phone-neon/index.md
similarity index 60%
rename from src/alpha-lab/phone-neon.md
rename to alpha-lab/phone-neon/index.md
index 911bf413e..8a2c67ad7 100644
--- a/src/alpha-lab/phone-neon.md
+++ b/alpha-lab/phone-neon/index.md
@@ -4,110 +4,118 @@ description: "Evaluate Neon's accuracy on phone screens"
 permalink: /alpha-lab/phone-screens
 tags: [Neon, Cloud]
 ---
+
+<script setup>
+import TagLinks from '@components/TagLinks.vue'
+</script>
+
 # Uncover gaze behaviour on phone screens with Neon
 
+<TagLinks :tags="$frontmatter.tags" />
 
-<TagLinks />
 <Youtube src="gp5O1uskDME"/>
 
+Have you ever wondered what your eyes focus on when scrolling through your favourite app?
 
-Have you ever wondered what your eyes focus on when scrolling through your favourite app? 
-
-In this article, we test whether Neon, our latest eye tracker, can accurately capture and characterise viewing behaviour 
+In this article, we test whether Neon, our latest eye tracker, can accurately capture and characterise viewing behaviour
 while gazing at small icons on mobile applications. To achieve this, we used some of Alpha Lab's existing tutorials, including
 how to generate scanpaths, define areas of interest (AOIs) and calculate outcome metrics, and map gaze onto dynamic content.
 
 Shall we start?
 
 ## What you'll need
-Below you can find the tools we used for this project. Using these, you can replicate the content of this article with 
+
+Below you can find the tools we used for this project. Using these, you can replicate the content of this article with
 your own applications.
 
 ### Cloud enrichment
-- [Reference Image Mapper](/enrichments/reference-image-mapper/)
+
+- [Reference Image Mapper](https://docs.pupil-labs.com/pupil-cloud/enrichments/reference-image-mapper/)
 
 ### Alpha Lab tutorials
-- [How to generate scanpaths](/alpha-lab/scanpath-rim/)
-- [How to define areas of interest (AOIs) and calculate basic metrics](/alpha-lab/gaze-metrics-in-aois/)
-- [How to map and visualise gaze onto dynamic screen content](/alpha-lab/map-your-gaze-to-a-2d-screen/)
+
+- [How to generate scanpaths](/scanpath-rim/)
+- [How to define areas of interest (AOIs) and calculate basic metrics](/gaze-metrics-in-aois/)
+- [How to map and visualise gaze onto dynamic screen content](/map-your-gaze-to-a-2d-screen/)
 
 ### How we used them
+
 We first used the Reference Image Mapper enrichment to create a 3D model of a phone positioned on a desk and subsequently to map gaze onto a 2D image of the phone-on-desk. Then we used Alpha Lab tutorials to process the exported results, generate advanced visualisations, and compute outcome metrics.
 
 :::tip
-:bulb: 
-When preparing the Reference Image Mapper Enrichment, make sure your phone is stable on a phone mount or stand. The 
-scanning video needed for this tool requires relatively static features in the environment. If there is a lot of movement 
-or the objects change in appearance or shape, the mapping can fail. More on this [in the docs](/enrichments/reference-image-mapper#setup/)! 
+:bulb:
+When preparing the Reference Image Mapper Enrichment, make sure your phone is stable on a phone mount or stand. The
+scanning video needed for this tool requires relatively static features in the environment. If there is a lot of movement
+or the objects change in appearance or shape, the mapping can fail. More on this [in the docs](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/reference-image-mapper/#setup)!
 :::
 
 ## Gaze behaviour on mobile apps: Insights from Neon
+
 ### Heatmaps and scanpaths
+
 What catches your attention and how do you visually navigate through the interface/page of a mobile app?
 
 Two visualisations that help to illustrate these patterns are heatmaps and scanpaths (left and right panel below). Heatmaps show the areas of the app that receive the most attention, with warmer colours indicating more fixations, and can be generated natively in Pupil Cloud. Meanwhile, scanpaths trace the path of the eye movements, showing the sequence of fixations and eye movements that occur during the visual exploration. The circle size of the scanpath below reflects fixation duration: The bigger the circle, the longer the user fixated on this area of the screen. Use the scanpath tutorial linked above to generate this visualisation.
 
 <div class="mcontainer">
   <div class="col-mcontainer">
-      <v-img class="rounded" :src="require(`../media/alpha-lab/1.phone-heatmap.jpeg`)" title="Saliency map over a phone screen" alt="Saliency map over a phone screen" cover/>
-    </div>
+
+![Saliency map over a phone screen](./1.phone-heatmap.jpeg)
+
+  </div>
   <div class="col-mcontainer">
-      <v-img class="rounded" :src="require(`../media/alpha-lab/2.phone-nadia_scanpath.jpeg`)" title="Scanpath over a phone screen" alt="Scanpath over a phone screen" cover/>
+
+![Scanpath over a phone screen](./2.phone-nadia_scanpath.jpeg)
+
   </div>
 </div>
 
 ### Calculation of gaze metrics on AOIs
 
-Analysing eye tracking data can provide valuable insights into user behaviour, but simply looking at visualisations like 
-heatmaps and scanpaths may not always reveal the full story. This is why we opted for a quantitative analysis of our data 
-as well by calculating gaze metrics, such as [dwell time](/alpha-lab/gaze-metrics-in-aois/#dwell-time) and
-[time to first contact](/alpha-lab/gaze-metrics-in-aois/#time-to-first-contact). These metrics offer tangible and 
-quantitative outcomes about the salience of each AOI: Longer dwell time implies longer total fixation on a specific AOI 
-and could be considered as a proxy of attentional allocation. Conversely, the shorter the time to first contact, the faster 
+Analysing eye tracking data can provide valuable insights into user behaviour, but simply looking at visualisations like
+heatmaps and scanpaths may not always reveal the full story. This is why we opted for a quantitative analysis of our data
+as well by calculating gaze metrics, such as [dwell time](/gaze-metrics-in-aois/#dwell-time) and
+[time to first contact](/gaze-metrics-in-aois/#time-to-first-contact). These metrics offer tangible and
+quantitative outcomes about the salience of each AOI: Longer dwell time implies longer total fixation on a specific AOI
+and could be considered as a proxy of attentional allocation. Conversely, the shorter the time to first contact, the faster
 this AOI captured the user's attention, pointing to increased salience of this area. Follow along with the AOI tutorial
 for these calculations and charts!
 
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require(`../media/alpha-lab/3.phone-dwell-time.png`)" title="Graph showing dwell time on defined AOIs over the phone screen" alt="Graph showing dwell time on defined AOIs over the phone screen" cover/>
-  </v-img>
-</div>
-
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require(`../media/alpha-lab/4.phone-first-contact.png`)" title="Graph showing time to first contact on defined AOIs over the phone screen" alt="Graph showing time to first contact on defined AOIs over the phone screen" cover/>
-  </v-img>
-</div>
+![Graph showing dwell time on defined AOIs over the phone screen](./3.phone-dwell-time.png)
 
+![Graph showing time to first contact on defined AOIs over the phone screen](./4.phone-first-contact.png)
 
 ### Map your gaze onto dynamic phone screen content
-So far, we've only scratched the surface by examining static images. Now, it's time to dive into the dynamic world of 
+
+So far, we've only scratched the surface by examining static images. Now, it's time to dive into the dynamic world of
 our smartphones and explore gaze behaviour more naturally while scrolling. Use the dynamic screen mapping tutorial for this one!
 
-Checking out the recording, Neon's accuracy richly captures gaze behaviour and provides a nice high-level overview of 
-what the wearer was looking at. 
+Checking out the recording, Neon's accuracy richly captures gaze behaviour and provides a nice high-level overview of
+what the wearer was looking at.
 
-Visualisations are great, but the real power of this tool is that it generates a CSV file containing gaze data mapped 
-onto the screen, in 2D x, y coordinates. This offers many possibilities for further customisation and in-depth analysis. 
+Visualisations are great, but the real power of this tool is that it generates a CSV file containing gaze data mapped
+onto the screen, in 2D x, y coordinates. This offers many possibilities for further customisation and in-depth analysis.
 
 <Youtube src="RKrf3YQjzao"/>
 
 ## In the wild
 
-That's all fine, but what does it look like to interact with phone screens when out and about? Consider this scenario: 
-Imagine searching for products on your mobile app while looking at the physical products on a supermarket shelf. We 
-brought Neon into the wild to assess its performance beyond controlled environments. See an example of real-world user 
+That's all fine, but what does it look like to interact with phone screens when out and about? Consider this scenario:
+Imagine searching for products on your mobile app while looking at the physical products on a supermarket shelf. We
+brought Neon into the wild to assess its performance beyond controlled environments. See an example of real-world user
 behaviour below!
- 
+
 <Youtube src="enkOC7_wf0U"/>
 
 ## Let's wrap it up!
 
-This article has unveiled the remarkable capability of Neon's calibration-free eye tracking to capture 
-viewing behaviour during mobile app interactions - both inside and out and about. This tutorial, and its outcomes, 
-are not limited to our specific use case and could be particularly useful for other types of UI/UX research. By combining 
-Neon with the techniques we've highlighted here, you can gain invaluable insights into user engagement. 
+This article has unveiled the remarkable capability of Neon's calibration-free eye tracking to capture
+viewing behaviour during mobile app interactions - both inside and out and about. This tutorial, and its outcomes,
+are not limited to our specific use case and could be particularly useful for other types of UI/UX research. By combining
+Neon with the techniques we've highlighted here, you can gain invaluable insights into user engagement.
 
-Curious about how Neon can fit into your work? Need assistance in implementing your own analysis pipelines? Reach out to 
-us [by email](mailto:info@pupil-labs.com) or visit our [Support Page](https://pupil-labs.com/products/support/)! 
+Curious about how Neon can fit into your work? Need assistance in implementing your own analysis pipelines? Reach out to
+us [by email](mailto:info@pupil-labs.com) or visit our [Support Page](https://pupil-labs.com/products/support/)!
 
 <style scoped>
 .mcontainer{
@@ -133,4 +141,4 @@ us [by email](mailto:info@pupil-labs.com) or visit our [Support Page](https://pu
     flex: 100%;
   }
 }
-</style>
\ No newline at end of file
+</style>
diff --git a/alpha-lab/postcss.config.js b/alpha-lab/postcss.config.js
new file mode 100644
index 000000000..12a703d90
--- /dev/null
+++ b/alpha-lab/postcss.config.js
@@ -0,0 +1,6 @@
+module.exports = {
+  plugins: {
+    tailwindcss: {},
+    autoprefixer: {},
+  },
+};
diff --git a/alpha-lab/public/ai-landing.webp b/alpha-lab/public/ai-landing.webp
new file mode 100644
index 000000000..71982dab2
Binary files /dev/null and b/alpha-lab/public/ai-landing.webp differ
diff --git a/alpha-lab/public/aoi-demo.webp b/alpha-lab/public/aoi-demo.webp
new file mode 100644
index 000000000..fec6340e9
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diff --git a/alpha-lab/public/build-gaze-assistive-neon.webp b/alpha-lab/public/build-gaze-assistive-neon.webp
new file mode 100644
index 000000000..dacb4c4be
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diff --git a/alpha-lab/public/def-aoi-gaze-metrics.webp b/alpha-lab/public/def-aoi-gaze-metrics.webp
new file mode 100644
index 000000000..edadfaa0d
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diff --git a/alpha-lab/public/gaze-behavior-phone-neon.webp b/alpha-lab/public/gaze-behavior-phone-neon.webp
new file mode 100644
index 000000000..e320e052a
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diff --git a/alpha-lab/public/gen-scanpath-rim.webp b/alpha-lab/public/gen-scanpath-rim.webp
new file mode 100644
index 000000000..d11ba5278
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diff --git a/alpha-lab/public/map-gaze-3d-nerf.webp b/alpha-lab/public/map-gaze-3d-nerf.webp
new file mode 100644
index 000000000..711a7455a
Binary files /dev/null and b/alpha-lab/public/map-gaze-3d-nerf.webp differ
diff --git a/alpha-lab/public/map-gaze-body.webp b/alpha-lab/public/map-gaze-body.webp
new file mode 100644
index 000000000..2d830a458
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diff --git a/alpha-lab/public/map-gaze-screen.webp b/alpha-lab/public/map-gaze-screen.webp
new file mode 100644
index 000000000..73a8a3293
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diff --git a/alpha-lab/public/multiple-ref-mapper-enrich.webp b/alpha-lab/public/multiple-ref-mapper-enrich.webp
new file mode 100644
index 000000000..65a30020c
Binary files /dev/null and b/alpha-lab/public/multiple-ref-mapper-enrich.webp differ
diff --git a/src/media/alpha-lab/Jack_scanpath.jpeg b/alpha-lab/scanpath-rim/Jack_scanpath.jpeg
similarity index 100%
rename from src/media/alpha-lab/Jack_scanpath.jpeg
rename to alpha-lab/scanpath-rim/Jack_scanpath.jpeg
diff --git a/src/media/alpha-lab/general_scanpath.jpeg b/alpha-lab/scanpath-rim/general_scanpath.jpeg
similarity index 100%
rename from src/media/alpha-lab/general_scanpath.jpeg
rename to alpha-lab/scanpath-rim/general_scanpath.jpeg
diff --git a/src/alpha-lab/scanpath-rim.md b/alpha-lab/scanpath-rim/index.md
similarity index 76%
rename from src/alpha-lab/scanpath-rim.md
rename to alpha-lab/scanpath-rim/index.md
index af85e1def..1b6fee9fa 100644
--- a/src/alpha-lab/scanpath-rim.md
+++ b/alpha-lab/scanpath-rim/index.md
@@ -8,10 +8,7 @@ tags: [Pupil Invisible, Neon, Cloud]
 
 <TagLinks />
 
-<div class="iframe-container2">
-    <iframe width="2000" height="1500" src="https://www.youtube.com/embed/7V3X4XmbRAM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-</div> 
-<br>
+<Youtube src="7V3X4XmbRAM"/>
 
 ::: tip
 Picture this: Build and customize scanpath visualizations with your Reference Image Mapper exports!
@@ -28,12 +25,12 @@ In this guide, we will show you how to generate both static and dynamic scanpath
 Image Mapper exported data.
 
 ::: tip
-Before continuing, ensure you are familiar with the [Reference Image Mapper](/enrichments/reference-image-mapper) 
+Before continuing, ensure you are familiar with the [Reference Image Mapper](https://docs-staging.pupil-labs.com/neon/pupil-cloud/enrichments/reference-image-mapper/) 
 enrichment. Check out [this explainer video](https://www.youtube.com/watch?v=ygqzQEzUIS4&t=56s) for reference.
 :::
 
 ## Extending current tools
-The [Reference Image Mapper](/enrichments/reference-image-mapper) enrichment available in Pupil Cloud is a tool that maps gaze onto
+The [Reference Image Mapper](https://docs-staging.pupil-labs.com/neon/pupil-cloud/enrichments/reference-image-mapper/) enrichment available in Pupil Cloud is a tool that maps gaze onto
 2D images and can subsequently generate heatmaps. However, it currently does not support the production of scanpath visualizations.
 Thus, we chose to develop a script that shows you how to build your own scanpaths using Reference Image Mapped data.
 
@@ -43,10 +40,7 @@ Thus, we chose to develop a script that shows you how to build your own scanpath
 2. Download [this script](https://gist.github.com/elepl94/9f669c4d81e455cf2095957831219664) and follow the [installation instructions](https://gist.github.com/elepl94/9f669c4d81e455cf2095957831219664#installation)
 
 ## Review the scanpaths
-<div class="iframe-container2">
-    <iframe width="2000" height="1500" src="https://www.youtube.com/embed/X43aTIRjwgQ?si=aTzAkRrYNqdOEf0T" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-</div> 
-<br>
+<Youtube src="X43aTIRjwgQ" />
 
 After the script has completed its execution, you'll find the resulting scanpath visualizations stored in a newly created 
 sub-folder named "scanpath." For each participant, you will obtain a reference image with the scanpath superimposed on it. 
@@ -57,15 +51,15 @@ gaze behavior.
 <div style="display: flex; justify-content: space-between;">
     <div style="flex: 1; margin-right: 10px;">
         <div style="width: 100%; text-align: center;">
-            <img src="../media/alpha-lab/Jack_scanpath.jpeg" alt="Jack Scanpath" style="width: 100%; height: 100%;">
+            <img src="./Jack_scanpath.jpeg" alt="Jack Scanpath" style="width: 100%; height: 100%;">
         </div>
     </div>
 </div>
-
+<br />
 <div style="display: flex; justify-content: space-between;">
     <div style="flex: 1; margin-right: 10px;">
         <div style="width: 100%; text-align: center;">
-            <img src="../media/alpha-lab/general_scanpath.jpeg" alt="General Scanpath" style="width: 100%; height: 100%;">
+            <img src="./general_scanpath.jpeg" alt="General Scanpath" style="width: 100%; height: 100%;">
         </div>
     </div>
 </div>
@@ -95,4 +89,4 @@ gaze behavior.
         width: 100%;
         height: 100%;
     }
-</style>
+</style>
\ No newline at end of file
diff --git a/alpha-lab/tailwind.config.js b/alpha-lab/tailwind.config.js
new file mode 100644
index 000000000..83ba8604b
--- /dev/null
+++ b/alpha-lab/tailwind.config.js
@@ -0,0 +1,17 @@
+/** @type {import('tailwindcss').Config} */
+module.exports = {
+  content: [
+    "./**/*.md",
+    "./.vitepress/theme/**/*.{vue,js,ts}",
+    "../components/**/*.vue",
+  ],
+  theme: {
+    extend: {
+      screens: {
+        lg: "960px",
+        "2xl": "1440px",
+      },
+    },
+  },
+  plugins: [],
+};
diff --git a/alpha-lab/tsconfig.json b/alpha-lab/tsconfig.json
new file mode 100644
index 000000000..f010d41a6
--- /dev/null
+++ b/alpha-lab/tsconfig.json
@@ -0,0 +1,34 @@
+{
+  "compilerOptions": {
+    "baseUrl": ".",
+    "module": "esnext",
+    "target": "esnext",
+    "moduleResolution": "node",
+    "esModuleInterop": true,
+    "strict": true,
+    "skipLibCheck": true,
+    "noUnusedLocals": true,
+    "resolveJsonModule": true,
+    "verbatimModuleSyntax": true,
+    "jsx": "preserve",
+    "lib": ["esnext", "dom", "dom.iterable"],
+    "isolatedModules": true,
+    "noImplicitThis": true,
+    "allowImportingTsExtensions": true,
+    "allowJs": true,
+    "paths": {
+      "@/*": ["../*"],
+      "@components/*": ["../components/*"],
+      "@theme/*": ["./.vitepress/theme/*"]
+    }
+  },
+  "include": [
+    "../components/*.vue",
+    "./.vitepress/**/*.vue",
+    "./.vitepress/**/*.ts",
+    "./.vitepress/**/*.mts",
+    "./.vitepress/**/*.css"
+  ],
+  "exclude": ["**/node_modules/**", "**/dist/**", "template"],
+  "compileOnSave": true
+}
diff --git a/src/neon/how-tos/advance-analysis/undistort.md b/alpha-lab/undistort/index.md
similarity index 64%
rename from src/neon/how-tos/advance-analysis/undistort.md
rename to alpha-lab/undistort/index.md
index fbb346080..712a76b83 100644
--- a/src/neon/how-tos/advance-analysis/undistort.md
+++ b/alpha-lab/undistort/index.md
@@ -3,54 +3,28 @@ title: Undistorting Video and Gaze Data
 description: "Undistorting Neon's scene camera video and gaze data, using the intrinsic and extrinsic camera parameters."
 permalink: /neon/how-tos/advance-analysis/undistort/
 ---
+
 # Correcting for the lens distortion on Neon's scene camera
-A circumstance that often arises in wearable eye-tracking setups is the presence of distortions on the scene camera. The type of lenses used, with their wide-angle characteristics, allows for a broad field of view, enabling the capture of more information within a single frame. However, this advantage comes at the cost of introducing distortions to the image. <!-- rectilinear distortions -->
+
+A circumstance that often arises in wearable eye tracking setups is the presence of distortions on the scene camera. The type of lenses used, with their wide-angle characteristics, allows for a broad field of view, enabling the capture of more information within a single frame. However, this advantage comes at the cost of introducing distortions to the image. <!-- rectilinear distortions -->
 
 While we account for them in Pupil Cloud processing — such as when we're aligning gaze data onto reference images or surfaces — it's important to note that the data you download will be in its original, unaltered form.
-We offer you the possibility to download the undistorted video using the [Gaze Overlay enrichment](/enrichments/gaze-overlay), but this is not the case when using the [Realtime API](/neon/real-time-api) or raw data, where you may want to correct it by yourself.
+We offer you the possibility to download the undistorted video using the [Video Renderer Visualization](https://docs.pupil-labs.com/neon/pupil-cloud/visualizations/video-renderer/), but this is not the case when using the [Realtime API](https://docs.pupil-labs.com/neon/real-time-api/tutorials/) or raw data, where you may want to correct it by yourself.
 
 ## When is it beneficial to correct for lens distortion?
 
-<div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require('../../../media/neon/undist/sidebyside_neon_with_gaze.jpg')"
-  width="100%" 
-  alt="Side by side comparison of a distorted and undistorted image with gaze positions overlaid."
-  title="Side by side comparison of a distorted and undistorted image with gaze positions overlaid." />
-</div>
+![Side by side comparison of a distorted and undistorted image with gaze positions overlaid.](./sidebyside_neon_with_gaze.jpg)
 
 The lens distortion in Neon's scene camera is not very strong, but correcting for it can have benefits for some applications. The undistorted image may be a more realistic or appealing representation of the observer's visual perspective (e.g. parallel lines will also be parallel in the undistorted image). Some computer vision algorithms also perform better on undistorted images.
 
-Below you can find an example of an <span style="color:red">**original frame**</span> (in <span style="color:red">red</span>) and <span style="color:blue">**undistorted frame**</span> (in <span style="color:blue">blue</span>):
-
-<div style="width: 60%; margin: 0 auto;">
-<script
-  defer
-  src="https://unpkg.com/img-comparison-slider@7/dist/index.js"
-></script>
-<link
-  rel="stylesheet"
-  href="https://unpkg.com/img-comparison-slider@7/dist/styles.css"
-/>
-<img-comparison-slider
-keyboard=enabled
->
-  <img slot="first" src="../../../media/neon/undist/dist_neon.jpg" />
-  <img slot="second" src="../../../media/neon/undist/undist_neon.jpg" />
-</img-comparison-slider>
-<br>
-<br>
-</div>
-
-:::tip
-**TLDR**; Correcting for lens distortions is crucial for spatial analysis and comparability across studies.
-:::
-
 ## How to correct for the lens distortions?
+
 In this tutorial, we will cover how to read the provided intrinsic and extrinsic camera parameters and correct for the lens distortions in Neon's scene camera. We will also show you how to undistort the gaze data, so that you can map the gaze position onto the undistorted scene camera video.
 
 We will be using Python and OpenCV to perform the undistortion, but the same principles apply to other programming languages and libraries.
 
 ## Requirements
+
 To follow this guide, you will need to have the following libraries installed on your python environment:
 
 - OpenCV for image processing and undistortion
@@ -62,7 +36,7 @@ pip install opencv-python numpy
 
 ### Reading from the Cloud download JSON file
 
-We measure the intrinsics and extrinsics parameters from the cameras for you, such that you do not need to do it by yourself. If you are using the [Cloud download](/export-formats/recording-data/neon/#scene-camera-json) format, you can find the intrinsic parameters in the **scene_camera.json** file which you can read using the following function:
+We measure the intrinsics and extrinsics parameters from the cameras for you, such that you do not need to do it by yourself. If you are using the [Cloud download](https://docs.pupil-labs.com/neon/general/data-format/#scene-camera-json) format, you can find the intrinsic parameters in the **scene_camera.json** file which you can read using the following function:
 
 ```python
 def read_from_json(path):
@@ -70,7 +44,8 @@ def read_from_json(path):
         data = json.load(f)
     return data
 ```
-Where **path** points to the **scene_camera.json** file. Then, we will store the scene camera matrix, and distortion coefficients in variables for later use.
+
+Where **path** points to the **scene_camera.json** file. Then, we will store the scene camera matrix and distortion coefficients in variables for later use.
 
 ```python
 calibration = read_from_json(path)
@@ -79,11 +54,11 @@ D = np.array(calibration["distortion_coefficients"])[0]
 ```
 
 ### Reading from the raw file
+
 <details><summary>Click to see how to read it from the raw format</summary><br>
 <!-- This is collapsed   -->
 If you are using the RAW data, this data is also stored there. The calibration parameters are stored in a binary file, and you can read it using the following function:
 
-
 ```python
 def read_instrinsics_neon(path):
     return np.fromfile(
@@ -107,9 +82,9 @@ def read_instrinsics_neon(path):
     )
 ```
 
-Where **path** points to the calibration file, which is located in the same folder as the raw data with the name **calibration.bin**. Then, we will store the scene camera matrix, and distortion coefficients in variables for later use.
+Where **path** points to the calibration file, which is located in the same folder as the raw data with the name **calibration.bin**. Then, we will store the scene camera matrix and distortion coefficients in variables for later use.
 
-``` python
+```python
 calibration = read_instrinsics_neon(path)
 K = calibration["scene_camera_matrix"][0]
 D = calibration["scene_distortion_coefficients"][0]
@@ -121,6 +96,7 @@ D = calibration["scene_distortion_coefficients"][0]
 ## Understanding the variables
 
 ### Scene camera matrix (K)
+
 A 3x3 matrix representing the intrinsic parameters of the camera. The camera matrix contains information about the focal length, principal point, and skew of the camera, defined as follows:
 
 ```
@@ -134,9 +110,7 @@ where:
 - **fx** and **fy** are the focal lengths expressed in pixels. They measure the distance between the camera sensor and the pinhole opening of the camera. As such, they determine the field of view of the camera.
 - **cx** and **cy** are the coordinates of the principal point, which represents the optical center of the camera. It indicates the position of the image center in the image plane, usually close to the center of the image.
 
-<div>
-<a href="https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html" target="_blank">Read more about OpenCV convention here.</a>
-</div>
+[Read more about OpenCV convention here.](https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html)
 
 ### Distortion coefficients (D)
 
@@ -149,39 +123,28 @@ where:
 - **k1** to **k6** are radial distortion coefficients. They model the radial distortion caused by the curvature of the lens, making straight lines appear curved near the edges of the image.
 - **p1** and **p2** are tangential distortion coefficients. They model the tangential distortion caused by the misalignment between the camera sensor and the lens, resulting in image distortions that are not radial.
 
-<div>
-<a href="https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html" target="_blank">Read more about OpenCV convention here.</a>
-</div>
+[Read more about OpenCV convention here.](https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html)
 
 ## Undistorting the video and gaze data per frame
+
 Assuming we have our frame (in OpenCV) and gaze data, we can undistort it using the following code:
 
 ```python
 undist_frame = cv2.undistort(orig_frame, K, D)
 ```
 
-Where *orig_frame* is the original frame, *K* is the scene camera matrix, and *D* is the distortion coefficients. The function returns the undistorted frame.
+Where _orig_frame_ is the original frame, _K_ is the scene camera matrix, and _D_ is the distortion coefficients. The function returns the undistorted frame.
 
-
-<div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require('../../../media/neon/undist/sidebyside_neon.jpg')"
-  max-width="100%" 
-  alt="Image showing the original frame overlaid with the undistorted frame."
-  title="Image showing the original frame overlaid with the undistorted frame." />
-</div>
+![Side by side comparison of a distorted and undistorted image.](./sidebyside_neon.jpg)
 
 Finally, this is how we undistort the gaze point:
 
 ```python
-xy_undist = cv2.undistortPoints(xy.reshape(-1, 1, 2).astype(np.float32), 
+xy_undist = cv2.undistortPoints(xy.reshape(-1, 1, 2).astype(np.float32),
     K, D, P=K)
 xy_undist = xy_undist.reshape(-1, 2)
 ```
-On the example below, we show the original gaze points overlaid over the undistorted frame (in red) and the undistorted point positions (in yellow):
-
-<div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require('../../../media/neon/undist/undist_neon_with_gaze.jpg')"
-  max-width="70%" 
-  alt="Image showing the original frame overlaid with the undistorted frame."
-  title="Image showing the original frame overlaid with the undistorted frame." />
-</div>
+
+On the example below, we show the original gaze points overlaid ove the undistorted frame (in red) and the undistorted point positions (in yellow):
+
+![Image showing the original frame overlaid with the undistorted frame.](./undist_neon_with_gaze.jpg)
diff --git a/src/media/neon/undist/sidebyside_neon.jpg b/alpha-lab/undistort/sidebyside_neon.jpg
similarity index 100%
rename from src/media/neon/undist/sidebyside_neon.jpg
rename to alpha-lab/undistort/sidebyside_neon.jpg
diff --git a/src/media/neon/undist/sidebyside_neon_with_gaze.jpg b/alpha-lab/undistort/sidebyside_neon_with_gaze.jpg
similarity index 100%
rename from src/media/neon/undist/sidebyside_neon_with_gaze.jpg
rename to alpha-lab/undistort/sidebyside_neon_with_gaze.jpg
diff --git a/src/media/neon/undist/undist_neon_with_gaze.jpg b/alpha-lab/undistort/undist_neon_with_gaze.jpg
similarity index 100%
rename from src/media/neon/undist/undist_neon_with_gaze.jpg
rename to alpha-lab/undistort/undist_neon_with_gaze.jpg
diff --git a/components/AlphaPageLayout.vue b/components/AlphaPageLayout.vue
new file mode 100644
index 000000000..3974aab48
--- /dev/null
+++ b/components/AlphaPageLayout.vue
@@ -0,0 +1,71 @@
+<script setup lang="ts">
+  import CardLink from "./cards/CardLink.vue";
+  import Footer from "./Footer.vue";
+  import RandomBanner from "./banner/RandomBanner.vue";
+
+  import { useData } from "vitepress";
+  const { frontmatter } = useData();
+
+  type FrontMatter = typeof frontmatter;
+
+  interface FM extends FrontMatter {
+    hero?: {
+      title?: string;
+      text?: string;
+      tagline?: string;
+    };
+  }
+
+  const fm: FM = frontmatter;
+</script>
+
+<style scoped>
+  .text-padding:not(:last-child) {
+    padding-bottom: 16px;
+  }
+</style>
+
+<template>
+  <div
+    class="container grid gap-6 sm:gap-12 md:gap-16 lg:gap-20 px-6 pt-9 sm:pb-12 md:pb-16 lg:pb-20 mx-auto"
+  >
+    <div class="grid gap-8">
+      <div class="grid grid-cols-1 lg:grid-cols-3 gap-4 items-center">
+        <div class="order-2 sm:order-1">
+          <h1
+            v-if="fm.hero?.title"
+            class="text-2xl sm:text-4xl pb-4 md:pb-9 lg:pb-6 font-semibold"
+            style="color: var(--vp-c-brand-1)"
+          >
+            {{ fm.hero.title }}
+          </h1>
+          <p
+            v-if="fm.hero?.tagline"
+            v-for="tagline in fm.hero?.tagline"
+            class="text-base text-2 text-padding"
+          >
+            {{ tagline }}
+          </p>
+        </div>
+        <div class="col-span-2 order-1 sm:order-2 flex justify-end">
+          <RandomBanner />
+        </div>
+      </div>
+    </div>
+    <hr style="border-color: var(--vp-c-divider)" />
+    <div>
+      <div
+        v-if="fm?.cards"
+        class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 gap-6"
+      >
+        <CardLink
+          v-for="(product, index) in fm?.cards"
+          :key="index"
+          :product="product"
+        />
+      </div>
+      <!-- <Content /> -->
+    </div>
+  </div>
+  <Footer />
+</template>
diff --git a/components/ArrowIcon.vue b/components/ArrowIcon.vue
new file mode 100644
index 000000000..c7597ff15
--- /dev/null
+++ b/components/ArrowIcon.vue
@@ -0,0 +1,16 @@
+<template>
+  <svg
+    width="16"
+    height="17"
+    viewBox="0 0 16 17"
+    fill="currentColor"
+    xmlns="http://www.w3.org/2000/svg"
+  >
+    <path
+      fill-rule="evenodd"
+      clip-rule="evenodd"
+      d="M7.84467 3.46967C8.13756 3.17678 8.61244 3.17678 8.90533 3.46967L13.4053 7.96967C13.6982 8.26256 13.6982 8.73744 13.4053 9.03033L8.90533 13.5303C8.61244 13.8232 8.13756 13.8232 7.84467 13.5303C7.55178 13.2374 7.55178 12.7626 7.84467 12.4697L11.0643 9.25H3.125C2.71079 9.25 2.375 8.91421 2.375 8.5C2.375 8.08579 2.71079 7.75 3.125 7.75H11.0643L7.84467 4.53033C7.55178 4.23744 7.55178 3.76256 7.84467 3.46967Z"
+      fill="currentColor"
+    />
+  </svg>
+</template>
diff --git a/components/CustomDocFooter.vue b/components/CustomDocFooter.vue
new file mode 100644
index 000000000..f3afa3e00
--- /dev/null
+++ b/components/CustomDocFooter.vue
@@ -0,0 +1,151 @@
+<script setup lang="ts">
+import { computed } from 'vue'
+import { useData } from 'vitepress/dist/client/theme-default/composables/data'
+import { normalizeLink } from 'vitepress/dist/client/theme-default/support/utils'
+import { useEditLink } from 'vitepress/dist/client/theme-default/composables/edit-link'
+// import { usePrevNext } from 'vitepress/dist/client/theme-default/composables/prev-next'
+import VPIconEdit from 'vitepress/dist/client/theme-default/components/icons/VPIconEdit.vue'
+import VPLink from 'vitepress/dist/client/theme-default/components/VPLink.vue'
+import VPDocFooterLastUpdated from 'vitepress/dist/client/theme-default/components/VPDocFooterLastUpdated.vue'
+
+const { theme, page, frontmatter } = useData()
+
+const editLink = useEditLink()
+// const control = usePrevNext()
+const control = { value: { prev: false, next: false } }
+
+const hasEditLink = computed(() => {
+    return theme.value.editLink && frontmatter.value.editLink !== false
+})
+const hasLastUpdated = computed(() => {
+    return page.value.lastUpdated && frontmatter.value.lastUpdated !== false
+})
+const showFooter = computed(() => {
+    return hasEditLink.value || hasLastUpdated.value || control.value.prev || control.value.next
+})
+</script>
+
+<template>
+    <footer v-if="showFooter" class="VPDocFooter">
+        <slot name="doc-footer-before" />
+
+        <div v-if="hasEditLink || hasLastUpdated" class="edit-info">
+            <div v-if="hasEditLink" class="edit-link">
+                <VPLink class="edit-link-button" :href="editLink.url" :no-icon="true">
+                    <VPIconEdit class="edit-link-icon" aria-label="edit icon" />
+                    {{ editLink.text }}
+                </VPLink>
+            </div>
+
+            <div v-if="hasLastUpdated" class="last-updated">
+                <VPDocFooterLastUpdated />
+            </div>
+        </div>
+
+        <nav v-if="control.prev?.link || control.next?.link" class="prev-next">
+            <div class="pager">
+                <a v-if="control.prev?.link" class="pager-link prev" :href="normalizeLink(control.prev.link)">
+                    <span class="desc" v-html="theme.docFooter?.prev || 'Previous page'"></span>
+                    <span class="title" v-html="control.prev.text"></span>
+                </a>
+            </div>
+            <div class="pager">
+                <a v-if="control.next?.link" class="pager-link next" :href="normalizeLink(control.next.link)">
+                    <span class="desc" v-html="theme.docFooter?.next || 'Next page'"></span>
+                    <span class="title" v-html="control.next.text"></span>
+                </a>
+            </div>
+        </nav>
+    </footer>
+</template>
+
+<style scoped>
+.VPDocFooter {
+    margin-top: 64px;
+}
+
+.edit-info {
+    padding-bottom: 18px;
+}
+
+@media (min-width: 640px) {
+    .edit-info {
+        display: flex;
+        justify-content: space-between;
+        align-items: center;
+        padding-bottom: 14px;
+    }
+}
+
+.edit-link-button {
+    display: flex;
+    align-items: center;
+    border: 0;
+    line-height: 32px;
+    font-size: 14px;
+    font-weight: 500;
+    color: var(--vp-c-brand-1);
+    transition: color 0.25s;
+}
+
+.edit-link-button:hover {
+    color: var(--vp-c-brand-2);
+}
+
+.edit-link-icon {
+    margin-right: 8px;
+    width: 14px;
+    height: 14px;
+    fill: currentColor;
+}
+
+.prev-next {
+    border-top: 1px solid var(--vp-c-divider);
+    padding-top: 24px;
+    display: grid;
+    grid-row-gap: 8px;
+}
+
+@media (min-width: 640px) {
+    .prev-next {
+        grid-template-columns: repeat(2, 1fr);
+        grid-column-gap: 16px;
+    }
+}
+
+.pager-link {
+    display: block;
+    border: 1px solid var(--vp-c-divider);
+    border-radius: 8px;
+    padding: 11px 16px 13px;
+    width: 100%;
+    height: 100%;
+    transition: border-color 0.25s;
+}
+
+.pager-link:hover {
+    border-color: var(--vp-c-brand-1);
+}
+
+.pager-link.next {
+    margin-left: auto;
+    text-align: right;
+}
+
+.desc {
+    display: block;
+    line-height: 20px;
+    font-size: 12px;
+    font-weight: 500;
+    color: var(--vp-c-text-2);
+}
+
+.title {
+    display: block;
+    line-height: 20px;
+    font-size: 14px;
+    font-weight: 500;
+    color: var(--vp-c-brand-1);
+    transition: color 0.25s;
+}
+</style>
diff --git a/components/Footer.vue b/components/Footer.vue
new file mode 100644
index 000000000..cff2c5f53
--- /dev/null
+++ b/components/Footer.vue
@@ -0,0 +1,19 @@
+<script setup lang="ts">
+  import PupilLogo from "./PupilLogo.vue";
+</script>
+
+<template>
+  <div class="container grid gap-20 px-6 my-8 mx-auto">
+    <div
+      class="flex flex-col sm:flex-row justify-between items-start sm:items-center gap-4"
+    >
+      <a href="https://docs.pupil-labs.com" style="color(--vp-c-text-1)"
+        ><PupilLogo />
+      </a>
+      <div class="text-sm">
+        <div>info@pupil-labs.com</div>
+        <div>Copyright 2023 Pupil Labs GmbH. All rights reserved.</div>
+      </div>
+    </div>
+  </div>
+</template>
diff --git a/components/ImageGrid.vue b/components/ImageGrid.vue
new file mode 100644
index 000000000..ee2ab577b
--- /dev/null
+++ b/components/ImageGrid.vue
@@ -0,0 +1,26 @@
+<script setup lang="ts">
+  interface Image {
+    url: string;
+    alt?: string;
+  }
+
+  interface Props {
+    images: Image[];
+    cols?: string | number;
+    gap?: string | number;
+  }
+
+  const { images, cols, gap } = withDefaults(defineProps<Props>(), {
+    images: () => [],
+    cols: "2",
+    gap: "4",
+  });
+</script>
+
+<template>
+  <div :class="`grid grid-cols-${cols} gap-${gap}`">
+    <div v-for="(image, index) in images" :key="index">
+      <img :src="image.url" :alt="image.alt" />
+    </div>
+  </div>
+</template>
diff --git a/components/PhotoGrid.vue b/components/PhotoGrid.vue
new file mode 100644
index 000000000..c97a87007
--- /dev/null
+++ b/components/PhotoGrid.vue
@@ -0,0 +1,66 @@
+<script setup lang="ts">
+  interface Props {
+    images: string[];
+  }
+
+  const { images } = defineProps<Props>();
+</script>
+
+<template>
+  <div class="gallery">
+    <div class="gallery-panel" v-for="photo in images">
+      <img :src="photo" />
+    </div>
+  </div>
+</template>
+
+<style>
+  .gallery {
+    display: grid;
+    grid-template-columns: repeat(auto-fill, 24%);
+    grid-gap: 0.5%;
+    max-width: 100%;
+    margin: 0rem 0rem;
+    padding: 0 0px;
+  }
+
+  .gallery-panel img {
+    width: 100%;
+    height: 15vw;
+    object-fit: cover;
+    border-radius: 0.75rem;
+    background-color: rgb(245, 245, 245);
+  }
+
+  @media screen and (min-width: 1025px) and (max-width: 1200px) {
+    .gallery {
+      grid-template-columns: repeat(auto-fill, 48%);
+    }
+
+    .gallery-panel img {
+      height: 20vw;
+    }
+  }
+
+  @media screen and (max-width: 800px) {
+    .gallery {
+      grid-template-columns: repeat(auto-fill, 49%);
+    }
+
+    .gallery-panel img {
+      object-fit: contain;
+      height: 30vw;
+    }
+  }
+
+  /* One column for mobiles */
+  @media screen and (max-width: 400px) {
+    .gallery {
+      grid-template-columns: repeat(auto-fill, 100%);
+    }
+
+    .gallery-panel img {
+      height: 100%;
+    }
+  }
+</style>
diff --git a/components/ProductPageLayout.vue b/components/ProductPageLayout.vue
new file mode 100644
index 000000000..896cc353c
--- /dev/null
+++ b/components/ProductPageLayout.vue
@@ -0,0 +1,72 @@
+<script setup lang="ts">
+  import CardLink from "./cards/CardLink.vue";
+  import Footer from "./Footer.vue";
+
+  import { useData } from "vitepress";
+  const { frontmatter } = useData();
+
+  type FrontMatter = typeof frontmatter;
+
+  interface FM extends FrontMatter {
+    hero?: {
+      title?: string;
+      text?: string;
+      tagline?: string;
+    };
+  }
+
+  const fm: FM = frontmatter;
+</script>
+
+<template>
+  <div
+    class="container grid gap-6 sm:gap-12 md:gap-16 lg:gap-20 px-6 pt-9 sm:pb-12 md:pb-16 lg:pb-20 mx-auto"
+  >
+    <div class="grid gap-8">
+      <div class="grid grid-cols-1 lg:grid-cols-3 gap-4 items-center">
+        <div class="order-2 sm:order-1">
+          <h1
+            v-if="fm.hero?.title"
+            class="text-2xl sm:text-4xl pb-4 md:pb-9 lg:pb-6 font-semibold"
+            style="color: var(--vp-c-brand-1)"
+          >
+            {{ fm.hero.title }}
+          </h1>
+          <div
+            v-if="fm.hero?.tagline"
+            class="text-lg md:text-xl lg:text-2xl text-2"
+          >
+            {{ fm.hero?.tagline }}
+          </div>
+        </div>
+        <div class="col-span-2 order-1 sm:order-2 flex justify-end">
+          <img
+            class="w-full rounded-lg"
+            :src="
+              fm.hero.image ? fm.hero.image : `https://place-hold.it/600x250`
+            "
+            width="100%"
+            height="auto"
+            style="max-width: 420px"
+            alt="Product hero image"
+          />
+        </div>
+      </div>
+    </div>
+    <hr style="border-color: var(--vp-c-divider)" />
+    <div>
+      <div
+        v-if="fm?.cards"
+        class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 gap-6"
+      >
+        <CardLink
+          v-for="(product, index) in fm?.cards"
+          :key="index"
+          :product="product"
+        />
+      </div>
+      <!-- <Content /> -->
+    </div>
+  </div>
+  <Footer />
+</template>
diff --git a/components/PupilLogo.vue b/components/PupilLogo.vue
new file mode 100644
index 000000000..e330508e6
--- /dev/null
+++ b/components/PupilLogo.vue
@@ -0,0 +1,58 @@
+<template>
+  <svg
+    width="40"
+    height="75"
+    viewBox="0 0 40 75"
+    fill="none"
+    xmlns="http://www.w3.org/2000/svg"
+  >
+    <path
+      d="M34.8937 19.5713C34.8937 27.8795 28.1071 34.631 19.7198 34.631C11.3325 34.631 4.54579 27.8954 4.54579 19.5713C4.54579 11.2471 11.3325 4.51156 19.7198 4.51156C28.0911 4.51156 34.8937 11.263 34.8937 19.5713ZM19.7198 0C8.83548 0 0 8.76894 0 19.5713C0 30.3736 8.83548 39.1425 19.7198 39.1425C30.6041 39.1425 39.4395 30.3736 39.4395 19.5713C39.4395 8.76894 30.6201 0 19.7198 0Z"
+      fill="currentColor"
+    />
+    <path
+      d="M34.1258 19.5706C34.1258 27.4658 27.6753 33.8678 19.7201 33.8678C11.765 33.8678 5.31445 27.4658 5.31445 19.5706C5.31445 11.6754 11.765 5.27344 19.7201 5.27344C27.6753 5.27344 34.1258 11.6754 34.1258 19.5706ZM19.7201 9.78499C14.278 9.78499 9.86024 14.1695 9.86024 19.5706C9.86024 24.9718 14.278 29.3563 19.7201 29.3563C25.1623 29.3563 29.58 24.9718 29.58 19.5706C29.58 14.1695 25.1623 9.78499 19.7201 9.78499Z"
+      fill="currentColor"
+    />
+    <path
+      d="M0 73.9828V62.1797H2.2889V71.9653H9.09158V73.9987L0 73.9828Z"
+      fill="currentColor"
+    />
+    <path
+      d="M18.0396 73.9848L17.9756 72.714H17.9436C17.3033 73.6195 16.1669 74.1755 14.7263 74.1755C12.1653 74.1755 10.3086 72.2533 10.3086 69.5527C10.3086 66.8521 12.1653 64.9141 14.7263 64.9141C16.1829 64.9141 17.2873 65.4701 17.9276 66.3755H17.9596L18.0396 65.1047H19.7203V73.9848H18.0396ZM17.7515 69.5527C17.7515 67.8688 16.6471 66.7092 15.0465 66.7092C13.4458 66.7092 12.3414 67.8688 12.3414 69.5527C12.3414 71.2048 13.4458 72.3804 15.0465 72.3804C16.6471 72.3804 17.7515 71.2048 17.7515 69.5527Z"
+      fill="currentColor"
+    />
+    <path
+      d="M31.3554 69.5507C31.3554 72.2354 29.4827 74.1734 26.9377 74.1734C25.4651 74.1734 24.3607 73.6174 23.7204 72.7119H23.6884L23.6244 73.9828H21.9277V62.1797H23.9445V66.0558H23.9765C24.6488 65.341 25.6412 64.9279 26.9377 64.9279C29.4827 64.912 31.3554 66.866 31.3554 69.5507ZM29.3066 69.5507C29.3066 67.8668 28.1862 66.7071 26.6016 66.7071C25.0009 66.7071 23.8805 67.8668 23.8805 69.5507C23.8805 71.2028 25.0009 72.3783 26.6016 72.3783C28.1862 72.3783 29.3066 71.2028 29.3066 69.5507Z"
+      fill="currentColor"
+    />
+    <path
+      d="M39.4392 65.5654V67.6305H39.3432C38.7349 67.011 37.8066 66.6774 36.6381 66.6774C35.6617 66.6774 34.9734 67.1063 34.9734 67.7417C34.9734 68.2501 35.3736 68.4725 36.6861 68.5519C39.0711 68.679 39.9994 69.5527 39.9994 71.3478C39.9994 73.0952 38.6389 74.1755 36.414 74.1755C34.9254 74.1755 33.757 73.8736 33.0207 73.3017V71.2048H33.1167C33.853 71.9991 34.9414 72.4121 36.318 72.4121C37.3744 72.4121 38.0146 71.9991 38.0146 71.3478C38.0146 70.76 37.6145 70.49 36.1579 70.3788C33.837 70.1881 32.9727 69.4733 32.9727 67.7894C32.9727 66.042 34.3972 64.9141 36.5581 64.9141C37.7425 64.9141 38.7989 65.1523 39.4392 65.5654Z"
+      fill="currentColor"
+    />
+    <path
+      d="M5.00997 45.7188C8.08318 45.7188 9.66781 47.1008 9.66781 49.7855C9.66781 52.4543 8.08318 53.8364 5.00997 53.8364H2.2889V57.8237H0V45.7188H5.00997ZM4.91394 51.8189C6.57859 51.8189 7.3629 51.1517 7.3629 49.7855C7.3629 48.4034 6.57859 47.7362 4.91394 47.7362H2.2889V51.803H4.91394V51.8189Z"
+      fill="currentColor"
+    />
+    <path
+      d="M18.0227 57.8257L17.9426 56.4754H17.9106C17.3344 57.4603 16.326 58.0005 14.9174 58.0005C12.6606 58.0005 11.332 56.5548 11.332 54.1402V48.9297H13.3488V53.9337C13.3488 55.3793 14.1171 56.2212 15.4296 56.2212C16.8542 56.2212 17.7025 55.2363 17.7025 53.616V48.9297H19.7193V57.8257H18.0227Z"
+      fill="currentColor"
+    />
+    <path
+      d="M37.4238 45.7188H39.4406V57.8237H37.4238V45.7188Z"
+      fill="currentColor"
+    />
+    <path
+      d="M35.0539 48.9297V57.8257H33.0371V48.9297H35.0539Z"
+      fill="currentColor"
+    />
+    <path
+      d="M31.3554 53.3928C31.3554 56.0775 29.4827 58.0156 26.9377 58.0156C25.6412 58.0156 24.6488 57.6025 23.9765 56.8877H23.9445V60.7638H21.9277V48.9289H23.6244L23.6884 50.1998H23.7204C24.3607 49.2943 25.4811 48.7383 26.9377 48.7383C29.4827 48.7383 31.3554 50.7081 31.3554 53.3928ZM29.3066 53.3769C29.3066 51.693 28.1862 50.5334 26.6016 50.5334C25.0009 50.5334 23.8805 51.693 23.8805 53.3769C23.8805 55.029 25.0009 56.2205 26.6016 56.2205C28.1862 56.2205 29.3066 55.029 29.3066 53.3769Z"
+      fill="currentColor"
+    />
+    <path
+      d="M35.0539 45.7188H33.0371V47.7204H35.0539V45.7188Z"
+      fill="currentColor"
+    />
+  </svg>
+</template>
diff --git a/components/TagLinks.vue b/components/TagLinks.vue
new file mode 100644
index 000000000..c82df1690
--- /dev/null
+++ b/components/TagLinks.vue
@@ -0,0 +1,39 @@
+<script setup lang="ts">
+  const props = withDefaults(
+    defineProps<{
+      tags: string[];
+    }>(),
+    {
+      tags: () => [],
+    }
+  );
+
+  const getPageLink = (tag: string) => {
+    const url = "https://pupil-labs.com/products";
+    if (tag.toLowerCase().includes("invisible")) {
+      return `${url}/invisible/`;
+    } else if (tag.toLowerCase().includes("neon")) {
+      return `${url}/neon/`;
+    } else if (tag.toLowerCase().includes("cloud")) {
+      return `${url}/cloud/`;
+    }
+  };
+</script>
+
+<template>
+  <div class="caption--1 pb-3">
+    <span class="">Products used: </span>
+    <span class="taglinks">
+      <a
+        v-for="(tag, index) in props.tags"
+        :key="`${tag}-${index}`"
+        :href="getPageLink(tag)"
+        color="primary"
+        target="_blank"
+        rel="noopener noreferrer"
+      >
+        {{ tag }}{{ index < props.tags.length - 1 ? ", " : "" }}
+      </a>
+    </span>
+  </div>
+</template>
diff --git a/components/VPHero.vue b/components/VPHero.vue
new file mode 100644
index 000000000..b744fe072
--- /dev/null
+++ b/components/VPHero.vue
@@ -0,0 +1,325 @@
+<script setup lang="ts">
+import { type Ref, inject } from 'vue'
+import type { DefaultTheme } from 'vitepress/theme'
+import { VPButton } from 'vitepress/theme'
+import { VPImage } from 'vitepress/theme'
+
+export interface HeroAction {
+  theme?: 'brand' | 'alt'
+  text: string
+  link: string
+}
+
+defineProps<{
+  name?: string
+  text?: string
+  tagline?: string
+  image?: DefaultTheme.ThemeableImage
+  actions?: HeroAction[]
+}>()
+
+const heroImageSlotExists = inject('hero-image-slot-exists') as Ref<boolean>
+</script>
+
+<template>
+  <div class="VPHero" :class="{ 'has-image': image || heroImageSlotExists }">
+    <div class="container">
+      <div class="main">
+        <slot name="home-hero-info">
+          <h1 v-if="name" class="name">
+            <span v-html="name" class="clip"></span>
+          </h1>
+          <p v-if="text" v-html="text" class="text"></p>
+          <p v-if="tagline" v-html="tagline" class="tagline"></p>
+        </slot>
+
+        <div v-if="actions" class="actions">
+          <div v-for="action in actions" :key="action.link" class="action">
+            <VPButton tag="a" size="medium" :theme="action.theme" :text="action.text" :href="action.link" />
+          </div>
+        </div>
+      </div>
+
+      <div v-if="image || heroImageSlotExists" class="image">
+        <div class="image-container">
+          <div class="image-bg" />
+          <slot name="home-hero-image">
+            <VPImage v-if="image" class="image-src" :image="image" />
+          </slot>
+        </div>
+      </div>
+    </div>
+  </div>
+</template>
+
+<style scoped>
+.VPHero {
+  margin-top: calc((var(--vp-nav-height) + var(--vp-layout-top-height, 0px)) * -1);
+  padding: calc(var(--vp-nav-height) + var(--vp-layout-top-height, 0px) + 48px) 24px 48px;
+}
+
+@media (min-width: 640px) {
+  .VPHero {
+    padding: calc(var(--vp-nav-height) + var(--vp-layout-top-height, 0px) + 80px) 48px 64px;
+  }
+}
+
+@media (min-width: 960px) {
+  .VPHero {
+    padding: calc(var(--vp-nav-height) + var(--vp-layout-top-height, 0px) + 80px) 64px 64px;
+  }
+}
+
+.container {
+  display: flex;
+  flex-direction: column;
+  margin: 0 auto;
+  max-width: 1152px;
+}
+
+@media (min-width: 960px) {
+  .container {
+    flex-direction: row;
+  }
+}
+
+.main {
+  position: relative;
+  z-index: 10;
+  order: 2;
+  flex-grow: 1;
+  flex-shrink: 0;
+}
+
+.VPHero.has-image .container {
+  text-align: center;
+}
+
+@media (min-width: 960px) {
+  .VPHero.has-image .container {
+    text-align: left;
+  }
+}
+
+@media (min-width: 960px) {
+  .main {
+    order: 1;
+    width: calc((100% / 3) * 2);
+  }
+
+  .VPHero.has-image .main {
+    max-width: 592px;
+  }
+}
+
+.name,
+.text {
+  max-width: 392px;
+  letter-spacing: -0.4px;
+  line-height: 40px;
+  font-size: 32px;
+  font-weight: 700;
+  white-space: pre-wrap;
+}
+
+.VPHero.has-image .name,
+.VPHero.has-image .text {
+  margin: 0 auto;
+}
+
+.name {
+  color: var(--vp-home-hero-name-color);
+}
+
+.clip {
+  background: var(--vp-home-hero-name-background);
+  -webkit-background-clip: text;
+  background-clip: text;
+  -webkit-text-fill-color: var(--vp-home-hero-name-color);
+}
+
+@media (min-width: 640px) {
+
+  .name,
+  .text {
+    max-width: 576px;
+    line-height: 56px;
+    font-size: 48px;
+  }
+}
+
+@media (min-width: 960px) {
+
+  .name,
+  .text {
+    line-height: 64px;
+    font-size: 56px;
+  }
+
+  .VPHero.has-image .name,
+  .VPHero.has-image .text {
+    margin: 0;
+  }
+}
+
+.tagline {
+  padding-top: 8px;
+  max-width: 392px;
+  line-height: 28px;
+  font-size: 18px;
+  font-weight: 500;
+  white-space: pre-wrap;
+  color: var(--vp-c-text-2);
+}
+
+.VPHero.has-image .tagline {
+  margin: 0 auto;
+}
+
+@media (min-width: 640px) {
+  .tagline {
+    padding-top: 12px;
+    max-width: 576px;
+    line-height: 32px;
+    font-size: 20px;
+  }
+}
+
+@media (min-width: 960px) {
+  .tagline {
+    line-height: 36px;
+    font-size: 24px;
+  }
+
+  .VPHero.has-image .tagline {
+    margin: 0;
+  }
+}
+
+.actions {
+  display: flex;
+  flex-wrap: wrap;
+  margin: -6px;
+  padding-top: 24px;
+}
+
+.VPHero.has-image .actions {
+  justify-content: center;
+}
+
+@media (min-width: 640px) {
+  .actions {
+    padding-top: 32px;
+  }
+}
+
+@media (min-width: 960px) {
+  .VPHero.has-image .actions {
+    justify-content: flex-start;
+  }
+}
+
+.action {
+  flex-shrink: 0;
+  padding: 6px;
+}
+
+.image {
+  order: 1;
+  margin: -76px -24px -48px;
+}
+
+@media (min-width: 640px) {
+  .image {
+    margin: -108px -24px -48px;
+  }
+}
+
+@media (min-width: 960px) {
+  .image {
+    flex-grow: 1;
+    order: 2;
+    margin: 0;
+    min-height: 100%;
+  }
+}
+
+.image-container {
+  position: relative;
+  margin: 0 auto;
+  width: 320px;
+  height: 320px;
+}
+
+@media (min-width: 640px) {
+  .image-container {
+    width: 392px;
+    height: 392px;
+  }
+}
+
+@media (min-width: 960px) {
+  .image-container {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    width: 100%;
+    height: 100%;
+    /*rtl:ignore*/
+    transform: translate(-32px, -32px);
+  }
+}
+
+.image-bg {
+  position: absolute;
+  top: 50%;
+  /*rtl:ignore*/
+  left: 50%;
+  border-radius: 50%;
+  width: 192px;
+  height: 192px;
+  background-image: var(--vp-home-hero-image-background-image);
+  filter: var(--vp-home-hero-image-filter);
+  /*rtl:ignore*/
+  transform: translate(-50%, -50%);
+}
+
+@media (min-width: 640px) {
+  .image-bg {
+    width: 256px;
+    height: 256px;
+  }
+}
+
+@media (min-width: 960px) {
+  .image-bg {
+    width: 320px;
+    height: 320px;
+  }
+}
+
+:deep(.image-src) {
+  position: absolute;
+  top: 50%;
+  /*rtl:ignore*/
+  left: 50%;
+  max-width: 192px;
+  max-height: 192px;
+  /*rtl:ignore*/
+  transform: translate(-50%, -50%);
+}
+
+@media (min-width: 640px) {
+  :deep(.image-src) {
+    max-width: 256px;
+    max-height: 256px;
+  }
+}
+
+@media (min-width: 960px) {
+  :deep(.image-src) {
+    max-width: 320px;
+    max-height: 320px;
+  }
+}
+</style>
diff --git a/components/Youtube.vue b/components/Youtube.vue
new file mode 100644
index 000000000..2dfb17fc2
--- /dev/null
+++ b/components/Youtube.vue
@@ -0,0 +1,36 @@
+<script setup lang="ts">
+  interface Props {
+    src: string;
+    height: string;
+    width: string;
+    muted: string;
+    autoplay: string;
+    closedCaption: string;
+  }
+
+  const { src, muted, autoplay, closedCaption } = withDefaults(
+    defineProps<Props>(),
+    {
+      height: "auto",
+      muted: "1",
+      autoplay: "0",
+      closedCaption: "1",
+    }
+  );
+</script>
+
+<template>
+  <div
+    class="pb-4"
+    style="display: flex; justify-content: center; aspect-ratio: 16 / 9"
+  >
+    <iframe
+      width="100%"
+      height="height"
+      :src="`https://www.youtube-nocookie.com/embed/${src}?autoplay=${autoplay}&rel=0&modestbranding=1&loop=1&muted=${muted}&cc_load_policy=${closedCaption}`"
+      frameborder="0"
+      allow="accelerometer; encrypted-media; gyroscope; picture-in-picture"
+      allowfullscreen
+    />
+  </div>
+</template>
diff --git a/components/banner/RandomBanner.vue b/components/banner/RandomBanner.vue
new file mode 100644
index 000000000..7cababd9d
--- /dev/null
+++ b/components/banner/RandomBanner.vue
@@ -0,0 +1,53 @@
+<script setup lang="ts">
+  import { ref } from "vue";
+  import bannerJson from "./banners.json";
+
+  const image = ref({
+    img_name: "",
+    alt_text: "",
+  });
+
+  const loadRandomImage = async () => {
+    // Set the banner text from a JSON file
+    var bannerText = bannerJson;
+    // Get the current month
+    const month = new Date().getMonth();
+    // If it's December, change the banner to one with a Christmas theme
+    if (month === 11) {
+      // @ts-ignore
+      const img_name = await import("./images/xmas.webp");
+      image.value = {
+        img_name: img_name.default,
+        alt_text: bannerText.xmas,
+      };
+    } else {
+      // If it's not December, pick a random banner from the 7 available banners
+      const numberOfImages = 7;
+      const randomImageNumber = Math.trunc(Math.random() * numberOfImages) + 1;
+      console.log(randomImageNumber);
+      var randomImage = `img${randomImageNumber.toString()}`;
+      var randomImageAltText = "img" + randomImageNumber.toString();
+
+      const img_name = await import(`./images/${randomImage}.webp`);
+      image.value = {
+        img_name: img_name.default,
+        alt_text: bannerText[randomImageAltText],
+      };
+    }
+  };
+
+  loadRandomImage();
+</script>
+
+<template>
+  <div class="banner">
+    <img
+      :src="image.img_name"
+      :alt="image.alt_text"
+      class="w-full rounded-lg"
+      width="100%"
+      height="auto"
+      style="max-width: 700px"
+    />
+  </div>
+</template>
diff --git a/components/banner/banners.json b/components/banner/banners.json
new file mode 100644
index 000000000..5365b2a8a
--- /dev/null
+++ b/components/banner/banners.json
@@ -0,0 +1,10 @@
+{
+  "img1": "Image credit: Midjourney (prompt) - “Neon image as :: 0.8 fun and modern optician's workshop:: 1.5 eye tracking glasses:: 1.5 digital art, 8k, color palette bright, --no drawing, --v 4 --ar 3:2“",
+  "img2": "Image credit: Midjourney (prompt) - “fluffy cute monster working in optometrist clinic, pixar style --v 4 --q 2 --ar 3:2“",
+  "img3": "Image credit: Midjourney (prompt) - “Neon image as :: 0.8 fun and modern optician's workshop:: 1.5 eye tracking glasses:: 1.5 digital art, 8k, color palette bright, --no drawing, --v 4 --ar 3:2 variations“",
+  "img4": "Image credit: Midjourney (prompt) - “a stylized and modern eye tracking laboratory operated by cute robots --ar 3:2“",
+  "img5": "Image credit: Midjourney (prompt) - “a stylized and modern eye tracking laboratory operated by cute robots“",
+  "img6": "Image credit: Midjourney (prompt) - “a fun and modern optician's workshop --ar 3:2 --v 4“",
+  "img7": "Image credit: Midjourney (prompt) - “fluffy cute monster working in optometrist clinic, pixar style --v 4 --q 2 --ar 3:2“",
+  "xmas": "Image credit: Midjourney (prompt) - “elves working on eye-tracking glasses in a colorful optician lab, pixel art, --v 4 --ar 3:2“"
+}
diff --git a/components/banner/images/img1.webp b/components/banner/images/img1.webp
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diff --git a/components/banner/images/img2.webp b/components/banner/images/img2.webp
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diff --git a/components/banner/images/img3.webp b/components/banner/images/img3.webp
new file mode 100644
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diff --git a/components/banner/images/img4.webp b/components/banner/images/img4.webp
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diff --git a/components/banner/images/img5.webp b/components/banner/images/img5.webp
new file mode 100644
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diff --git a/components/banner/images/img6.webp b/components/banner/images/img6.webp
new file mode 100644
index 000000000..87403684c
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diff --git a/components/banner/images/img7.webp b/components/banner/images/img7.webp
new file mode 100644
index 000000000..25a83580a
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diff --git a/components/banner/images/xmas.webp b/components/banner/images/xmas.webp
new file mode 100644
index 000000000..94befe0fb
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diff --git a/components/cards/CardLink.vue b/components/cards/CardLink.vue
new file mode 100644
index 000000000..c71b02a4e
--- /dev/null
+++ b/components/cards/CardLink.vue
@@ -0,0 +1,51 @@
+<script setup lang="ts">
+  import ArrowIcon from "../ArrowIcon.vue";
+
+  interface ProductProps {
+    title?: string;
+    details?: string;
+    image?: string;
+    link?: {
+      text?: string;
+      href?: string;
+      target?: string;
+    };
+  }
+
+  interface Props {
+    product: ProductProps;
+  }
+
+  const { product } = defineProps<Props>();
+</script>
+
+<template>
+  <a
+    :href="product.link.href"
+    class="textLink"
+    :target="product.link.target || '_self'"
+  >
+    <div class="rounded-lg flex flex-col h-full bg-card">
+      <img
+        v-if="product.image"
+        :src="product.image"
+        style="aspect-ratio: 1.6296; object-fit: cover"
+        class="h-auto w-full rounded-tl-lg rounded-tr-lg"
+      />
+      <div
+        class="grid grid-rows-[auto,_1fr,_auto] gap-4 p-6 h-full justify-between"
+      >
+        <p v-if="product.title" class="text-1 font-semibold">
+          {{ product.title }}
+        </p>
+        <p v-if="product.details" class="text-2 text-sm pb-3">
+          {{ product.details }}
+        </p>
+        <div v-if="product.link" class="flex gap-2 items-center text-sm">
+          <span v-if="product.link.text">{{ product.link.text }}</span>
+          <ArrowIcon />
+        </div>
+      </div>
+    </div>
+  </a>
+</template>
diff --git a/components/header/CustomNavBar.vue b/components/header/CustomNavBar.vue
new file mode 100644
index 000000000..a507493c5
--- /dev/null
+++ b/components/header/CustomNavBar.vue
@@ -0,0 +1,309 @@
+<script lang="ts" setup>
+  import { useWindowScroll } from "@vueuse/core";
+  import { ref, watchPostEffect } from "vue";
+  import { useData } from "vitepress";
+  import { useSidebar } from "vitepress/theme";
+  // import VPNavBarAppearance from 'vitepress/dist/client/theme-default/components/VPNavBarAppearance.vue'
+  // import VPNavBarExtra from "vitepress/dist/client/theme-default/components/VPNavBarExtra.vue";
+  // import VPNavBarHamburger from "vitepress/dist/client/theme-default/components/VPNavBarHamburger.vue";
+  import VPNavBarMenu from "vitepress/dist/client/theme-default/components/VPNavBarMenu.vue";
+  import VPNavBarSearch from "vitepress/dist/client/theme-default/components/VPNavBarSearch.vue";
+  // import VPNavBarSocialLinks from "vitepress/dist/client/theme-default/components/VPNavBarSocialLinks.vue";
+  import VPNavBarTitle from "vitepress/dist/client/theme-default/components/VPNavBarTitle.vue";
+  import VPNavBarTranslations from "vitepress/dist/client/theme-default/components/VPNavBarTranslations.vue";
+  import VPNavBarMenuLink from "vitepress/dist/client/theme-default/components/VPNavBarMenuLink.vue";
+
+  import NavBarSocialLinks from "./socialLinks/NavBarSocialLinks.vue";
+  import NavBarHamburger from "./NavBarHamburger.vue";
+  import NavBarExtra from "./NavBarExtra.vue";
+
+  defineProps<{
+    isScreenOpen: boolean;
+  }>();
+
+  defineEmits<{
+    (e: "toggle-screen"): void;
+  }>();
+
+  // @ts-ignore
+  const { y } = useWindowScroll();
+  const { hasSidebar } = useSidebar();
+  const { frontmatter, site } = useData();
+  const classes = ref<Record<string, boolean>>({});
+
+  watchPostEffect(() => {
+    classes.value = {
+      "has-sidebar": hasSidebar.value,
+      top: frontmatter.value.layout === "home" && y.value === 0,
+    };
+  });
+</script>
+
+<template>
+  <div class="VPNavBar" :class="classes">
+    <div class="container">
+      <div class="title">
+        <VPNavBarTitle>
+          <template #nav-bar-title-before>
+            <slot name="nav-bar-title-before" />
+          </template>
+          <template #nav-bar-title-after>
+            <slot name="nav-bar-title-after" />
+          </template>
+        </VPNavBarTitle>
+      </div>
+
+      <div class="content">
+        <div class="curtain" />
+        <div class="content-body">
+          <slot name="nav-bar-content-before" />
+          <VPNavBarSearch class="search" />
+          <VPNavBarMenu class="menu" />
+          <VPNavBarTranslations class="translations" />
+          <!-- <VPNavBarAppearance class="appearance" /> -->
+          <NavBarSocialLinks class="social-links" />
+          <NavBarExtra class="extra" />
+          <slot name="nav-bar-content-after" />
+          <NavBarHamburger
+            class="hamburger"
+            :active="isScreenOpen"
+            @click="$emit('toggle-screen')"
+          />
+        </div>
+      </div>
+    </div>
+  </div>
+</template>
+
+<style scoped>
+  .notOutboundLink::after {
+    display: none !important;
+  }
+
+  .VPNavBarMenu {
+    display: none;
+  }
+
+  .customNav {
+    display: flex;
+  }
+
+  .customNav .navLink {
+    display: none;
+  }
+
+  .menu + .menu:before {
+    display: none;
+  }
+
+  .VPNavBarSearch {
+    display: flex;
+    align-items: center;
+    flex-grow: 1;
+    padding-left: 24px;
+  }
+
+  @media (min-width: 640px) {
+    .customNav .navLink {
+      display: flex;
+    }
+  }
+
+  @media (min-width: 1146px) {
+    .VPNavBarMenu {
+      display: flex;
+    }
+
+    .menu + .menu:before {
+      display: block;
+    }
+  }
+
+  .VPNavBar {
+    position: relative;
+    border-bottom: 1px solid transparent;
+    padding: 0 8px 0 24px;
+    height: var(--vp-nav-height);
+    pointer-events: none;
+    white-space: nowrap;
+  }
+
+  @media (min-width: 1146px) {
+    .VPNavBar {
+      padding: 0 32px;
+    }
+  }
+
+  @media (min-width: 960px) {
+    .VPNavBar.has-sidebar {
+      padding: 0;
+    }
+
+    .VPNavBar:not(.has-sidebar):not(.top) {
+      border-bottom-color: var(--vp-c-gutter);
+      background-color: var(--vp-nav-bg-color);
+    }
+  }
+
+  .container {
+    display: flex;
+    justify-content: space-between;
+    margin: 0 auto;
+    max-width: calc(var(--vp-layout-max-width) - 64px);
+    height: var(--vp-nav-height);
+    pointer-events: none;
+  }
+
+  .container > .title,
+  .container > .content {
+    pointer-events: none;
+  }
+
+  .container :deep(*) {
+    pointer-events: auto;
+  }
+
+  @media (min-width: 960px) {
+    .VPNavBar.has-sidebar .container {
+      max-width: 100%;
+    }
+  }
+
+  .title {
+    flex-shrink: 0;
+    height: calc(var(--vp-nav-height) - 1px);
+    transition: background-color 0.5s;
+  }
+
+  @media (min-width: 960px) {
+    .VPNavBar.has-sidebar .title {
+      position: absolute;
+      top: 0;
+      left: 0;
+      z-index: 2;
+      padding: 0 32px;
+      width: var(--vp-sidebar-width);
+      height: var(--vp-nav-height);
+      background-color: transparent;
+    }
+  }
+
+  @media (min-width: 1440px) {
+    .VPNavBar.has-sidebar .title {
+      padding-left: max(
+        32px,
+        calc((100% - (var(--vp-layout-max-width) - 64px)) / 2)
+      );
+      width: calc(
+        (100% - (var(--vp-layout-max-width) - 64px)) / 2 +
+          var(--vp-sidebar-width) - 32px
+      );
+    }
+  }
+
+  .content {
+    flex-grow: 1;
+  }
+
+  @media (min-width: 960px) {
+    .VPNavBar.has-sidebar .content {
+      position: relative;
+      z-index: 1;
+      padding-right: 32px;
+      padding-left: var(--vp-sidebar-width);
+    }
+  }
+
+  @media (min-width: 1440px) {
+    .VPNavBar.has-sidebar .content {
+      padding-right: calc((100vw - var(--vp-layout-max-width)) / 2 + 32px);
+      padding-left: calc(
+        (100vw - var(--vp-layout-max-width)) / 2 + var(--vp-sidebar-width)
+      );
+    }
+  }
+
+  .content-body {
+    display: flex;
+    justify-content: flex-end;
+    align-items: center;
+    height: calc(var(--vp-nav-height) - 1px);
+    transition: background-color 0.5s;
+  }
+
+  @media (min-width: 960px) {
+    .VPNavBar:not(.top) .content-body {
+      position: relative;
+      background-color: var(--vp-nav-bg-color);
+    }
+  }
+
+  @media (max-width: 767px) {
+    .content-body {
+      column-gap: 0.5rem;
+    }
+  }
+
+  .menu + .translations::before,
+  .menu + .appearance::before,
+  .menu + .social-links::before,
+  .translations + .appearance::before,
+  .appearance + .social-links::before {
+    margin-right: 8px;
+    margin-left: 8px;
+    width: 1px;
+    height: 24px;
+    background-color: var(--vp-c-divider);
+    content: "";
+  }
+
+  .menu + .menu::before {
+    margin-right: 8px;
+    margin-left: 8px;
+    margin-top: 20px;
+    width: 1px;
+    height: 24px;
+    background-color: var(--vp-c-divider);
+    content: "";
+  }
+
+  .menu + .appearance::before,
+  .translations + .appearance::before {
+    margin-right: 16px;
+  }
+
+  .appearance + .social-links::before {
+    margin-left: 16px;
+  }
+
+  .social-links {
+    margin-right: -8px;
+  }
+
+  @media (min-width: 960px) {
+    .VPNavBar.has-sidebar .curtain {
+      position: absolute;
+      right: 0;
+      bottom: -31px;
+      width: calc(100% - var(--vp-sidebar-width));
+      height: 32px;
+    }
+
+    .VPNavBar.has-sidebar .curtain::before {
+      display: block;
+      width: 100%;
+      height: 32px;
+      background: linear-gradient(var(--vp-c-bg), transparent 70%);
+      content: "";
+    }
+  }
+
+  @media (min-width: 1440px) {
+    .VPNavBar.has-sidebar .curtain {
+      width: calc(
+        100% -
+          ((100vw - var(--vp-layout-max-width)) / 2 + var(--vp-sidebar-width))
+      );
+    }
+  }
+</style>
diff --git a/components/header/NavBarExtra.vue b/components/header/NavBarExtra.vue
new file mode 100644
index 000000000..54a5d3c9c
--- /dev/null
+++ b/components/header/NavBarExtra.vue
@@ -0,0 +1,106 @@
+<script lang="ts" setup>
+  import { computed } from "vue";
+  import VPFlyout from "vitepress/dist/client/theme-default/components/VPFlyout.vue";
+  import VPMenuLink from "vitepress/dist/client/theme-default/components/VPMenuLink.vue";
+  import VPSwitchAppearance from "vitepress/dist/client/theme-default/components/VPSwitchAppearance.vue";
+  // import VPSocialLinks from "vitepress/dist/client/theme-default/components/VPSocialLinks.vue";
+  import { useData } from "vitepress/dist/client/theme-default/composables/data";
+  import { useLangs } from "vitepress/dist/client/theme-default/composables/langs";
+
+  import SocialLinks from "./socialLinks/SocialLinks.vue";
+
+  const { site, theme } = useData();
+  const { localeLinks, currentLang } = useLangs({ correspondingLink: true });
+
+  const hasExtraContent = computed(
+    () =>
+      (localeLinks.value.length && currentLang.value.label) ||
+      site.value.appearance ||
+      theme.value.socialLinks
+  );
+</script>
+
+<template>
+  <VPFlyout
+    v-if="hasExtraContent"
+    class="VPNavBarExtra"
+    label="extra navigation"
+  >
+    <div
+      v-if="localeLinks.length && currentLang.label"
+      class="group translations"
+    >
+      <p class="trans-title">{{ currentLang.label }}</p>
+
+      <template v-for="locale in localeLinks" :key="locale.link">
+        <VPMenuLink :item="locale" />
+      </template>
+    </div>
+
+    <div
+      v-if="site.appearance && site.appearance !== 'force-dark'"
+      class="group"
+    >
+      <div class="item appearance">
+        <p class="label">
+          {{ theme.darkModeSwitchLabel || "Appearance" }}
+        </p>
+        <div class="appearance-action">
+          <VPSwitchAppearance />
+        </div>
+      </div>
+    </div>
+
+    <div v-if="theme.socialLinks" class="group">
+      <div class="item social-links">
+        <SocialLinks class="social-links-list" :links="theme.socialLinks" />
+      </div>
+    </div>
+  </VPFlyout>
+</template>
+
+<style scoped>
+  .VPNavBarExtra {
+    display: none;
+    margin-right: -12px;
+  }
+
+  @media (min-width: 1146px) {
+    .VPNavBarExtra {
+      display: block;
+    }
+  }
+
+  @media (min-width: 1280px) {
+    .VPNavBarExtra {
+      display: none;
+    }
+  }
+
+  .trans-title {
+    padding: 0 24px 0 12px;
+    line-height: 32px;
+    font-size: 14px;
+    font-weight: 700;
+    color: var(--vp-c-text-1);
+  }
+
+  .item.appearance,
+  .item.social-links {
+    display: flex;
+    align-items: center;
+    padding: 0 12px;
+  }
+
+  .item.appearance {
+    min-width: 176px;
+  }
+
+  .appearance-action {
+    margin-right: -2px;
+  }
+
+  .social-links-list {
+    margin: -4px -8px;
+  }
+</style>
diff --git a/components/header/NavBarHamburger.vue b/components/header/NavBarHamburger.vue
new file mode 100644
index 000000000..c244ec681
--- /dev/null
+++ b/components/header/NavBarHamburger.vue
@@ -0,0 +1,132 @@
+<script lang="ts" setup>
+  defineProps<{
+    active: boolean;
+  }>();
+
+  const emit = defineEmits<{
+    (e: "click"): void;
+  }>();
+
+  const handleOnClick = () => {
+    emit("click");
+    setTimeout(() => {
+      const navEl = document.querySelector(".VPNavScreen");
+      const socialEls = navEl.querySelectorAll(".VPSocialLink");
+
+      socialEls.forEach((socialEl) => {
+        if (
+          // @ts-ignore
+          socialEl.href === "https://docs.pupil-labs.com/" ||
+          // @ts-ignore
+          socialEl.href === "https://docs.pupil-labs.com/alpha-lab"
+        ) {
+          socialEl.setAttribute("target", "_self");
+          socialEl.setAttribute("rel", "noopener");
+        }
+      });
+    }, 100);
+  };
+</script>
+
+<template>
+  <button
+    type="button"
+    class="VPNavBarHamburger"
+    :class="{ active }"
+    aria-label="mobile navigation"
+    :aria-expanded="active"
+    aria-controls="NavScreen"
+    @click="handleOnClick"
+  >
+    <span class="container">
+      <span class="top" />
+      <span class="middle" />
+      <span class="bottom" />
+    </span>
+  </button>
+</template>
+
+<style scoped>
+  .VPNavBarHamburger {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    width: 48px;
+    height: var(--vp-nav-height);
+  }
+
+  @media (min-width: 1146px) {
+    .VPNavBarHamburger {
+      display: none;
+    }
+  }
+
+  .container {
+    position: relative;
+    width: 16px;
+    height: 14px;
+    overflow: hidden;
+  }
+
+  .VPNavBarHamburger:hover .top {
+    top: 0;
+    left: 0;
+    transform: translateX(4px);
+  }
+  .VPNavBarHamburger:hover .middle {
+    top: 6px;
+    left: 0;
+    transform: translateX(0);
+  }
+  .VPNavBarHamburger:hover .bottom {
+    top: 12px;
+    left: 0;
+    transform: translateX(8px);
+  }
+
+  .VPNavBarHamburger.active .top {
+    top: 6px;
+    transform: translateX(0) rotate(225deg);
+  }
+  .VPNavBarHamburger.active .middle {
+    top: 6px;
+    transform: translateX(16px);
+  }
+  .VPNavBarHamburger.active .bottom {
+    top: 6px;
+    transform: translateX(0) rotate(135deg);
+  }
+
+  .VPNavBarHamburger.active:hover .top,
+  .VPNavBarHamburger.active:hover .middle,
+  .VPNavBarHamburger.active:hover .bottom {
+    background-color: var(--vp-c-text-2);
+    transition: top 0.25s, background-color 0.25s, transform 0.25s;
+  }
+
+  .top,
+  .middle,
+  .bottom {
+    position: absolute;
+    width: 16px;
+    height: 2px;
+    background-color: var(--vp-c-text-1);
+    transition: top 0.25s, background-color 0.5s, transform 0.25s;
+  }
+
+  .top {
+    top: 0;
+    left: 0;
+    transform: translateX(0);
+  }
+  .middle {
+    top: 6px;
+    left: 0;
+    transform: translateX(8px);
+  }
+  .bottom {
+    top: 12px;
+    left: 0;
+    transform: translateX(4px);
+  }
+</style>
diff --git a/components/header/socialLinks/NavBarSocialLinks.vue b/components/header/socialLinks/NavBarSocialLinks.vue
new file mode 100644
index 000000000..47c665294
--- /dev/null
+++ b/components/header/socialLinks/NavBarSocialLinks.vue
@@ -0,0 +1,27 @@
+<script lang="ts" setup>
+  import { useData } from "vitepress/dist/client/theme-default/composables/data";
+  import SocialLinks from "./SocialLinks.vue";
+
+  const { theme } = useData();
+</script>
+
+<template>
+  <SocialLinks
+    v-if="theme.socialLinks"
+    class="VPNavBarSocialLinks"
+    :links="theme.socialLinks"
+  />
+</template>
+
+<style scoped>
+  .VPNavBarSocialLinks {
+    display: none;
+  }
+
+  @media (min-width: 1280px) {
+    .VPNavBarSocialLinks {
+      display: flex;
+      align-items: center;
+    }
+  }
+</style>
diff --git a/components/header/socialLinks/SocialLink.vue b/components/header/socialLinks/SocialLink.vue
new file mode 100644
index 000000000..37a22fefb
--- /dev/null
+++ b/components/header/socialLinks/SocialLink.vue
@@ -0,0 +1,52 @@
+<script lang="ts" setup>
+  import type { DefaultTheme } from "vitepress/theme";
+  import { computed } from "vue";
+  import { icons } from "vitepress/dist/client/theme-default/support/socialIcons";
+
+  const props = defineProps<{
+    icon: DefaultTheme.SocialLinkIcon;
+    link: string;
+    ariaLabel?: string;
+    target?: string;
+  }>();
+
+  const svg = computed(() => {
+    if (typeof props.icon === "object") return props.icon.svg;
+    return icons[props.icon];
+  });
+</script>
+
+<template>
+  <a
+    class="VPSocialLink no-icon"
+    :href="link"
+    :aria-label="ariaLabel ?? (typeof icon === 'string' ? icon : '')"
+    :target="target || '_blank'"
+    rel="noopener"
+    v-html="svg"
+  >
+  </a>
+</template>
+
+<style scoped>
+  .VPSocialLink {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    width: 36px;
+    height: 36px;
+    color: var(--vp-c-text-2);
+    transition: color 0.5s;
+  }
+
+  .VPSocialLink:hover {
+    color: var(--vp-c-text-1);
+    transition: color 0.25s;
+  }
+
+  .VPSocialLink > :deep(svg) {
+    width: 20px;
+    height: 20px;
+    fill: currentColor;
+  }
+</style>
diff --git a/components/header/socialLinks/SocialLinks.vue b/components/header/socialLinks/SocialLinks.vue
new file mode 100644
index 000000000..936ec24df
--- /dev/null
+++ b/components/header/socialLinks/SocialLinks.vue
@@ -0,0 +1,28 @@
+<script lang="ts" setup>
+  import type { SocialLink as LinkProp } from "../../../default_config.mts";
+  import SocialLink from "./SocialLink.vue";
+
+  defineProps<{
+    links: LinkProp[];
+  }>();
+</script>
+
+<template>
+  <div class="VPSocialLinks">
+    <SocialLink
+      v-for="{ link, icon, ariaLabel, target } in links"
+      :key="link"
+      :icon="icon"
+      :link="link"
+      :target="target"
+      :ariaLabel="ariaLabel"
+    />
+  </div>
+</template>
+
+<style scoped>
+  .VPSocialLinks {
+    display: flex;
+    justify-content: center;
+  }
+</style>
diff --git a/core/.vitepress/config.mts b/core/.vitepress/config.mts
new file mode 100644
index 000000000..a501d76ae
--- /dev/null
+++ b/core/.vitepress/config.mts
@@ -0,0 +1,118 @@
+import { fileURLToPath, URL } from "node:url";
+import { defineConfig } from "vitepress";
+
+import { config as default_config } from "./../../default_config.mts";
+import { theme_config as default_theme_config } from "./../../default_config.mts";
+
+const softwareOtherSideBar = [
+  {
+    text: "Software",
+    items: [
+      { text: "Pupil Capture", link: "/software/pupil-capture/" },
+      { text: "Pupil Player", link: "/software/pupil-player/" },
+      { text: "Pupil Service", link: "/software/pupil-service/" },
+      { text: "Recording Format", link: "/software/recording-format/" },
+    ],
+  },
+  {
+    text: "Other",
+    items: [
+      { text: "Hardware", link: "/hardware/" },
+      { text: "Terminology", link: "/terminology/" },
+      { text: "Best Practices", link: "/best-practices/" },
+      { text: "Academic Citation", link: "/academic-citation/" },
+    ],
+  },
+];
+
+let theme_config_additions = {
+  nav: [
+    {
+      text: "Getting Started",
+      link: "/getting-started/",
+      activeMatch: "/getting-started/",
+    },
+    {
+      text: "User Guide",
+      link: "/software/pupil-capture/",
+      activeMatch: "/software/",
+    },
+    { text: "DIY", link: "/diy/", activeMatch: "/diy/" },
+    { text: "Developer", link: "/developer/", activeMatch: "/developer/" },
+    { text: "VR/AR", link: "/vr-ar/", activeMatch: "/vr-ar/" },
+  ],
+
+  sidebar: {
+    "/getting-started": [...softwareOtherSideBar],
+    "/software": [...softwareOtherSideBar],
+    "/hardware": [...softwareOtherSideBar],
+    "/developer/": [
+      { text: "Overview", link: "/developer/" },
+      { text: "Network API", link: "/developer/network-api/" },
+      { text: "Recording Format", link: "/developer/recording-format/" },
+      { text: "Plugin API", link: "/developer/plugin-api/" },
+      { text: "py3d Pupil Detection", link: "/developer/pye3d/" },
+    ],
+    "/vr-ar/": [
+      { text: "Overview", link: "/vr-ar/" },
+      { text: "HTC-Vice Add-On", link: "/vr-ar/vive/" },
+      { text: "HoloLens Add-On", link: "/vr-ar/hololens/" },
+      { text: "Oculus Rift DK2 Add-On", link: "/vr-ar/rift/" },
+      { text: "Developer", link: "/vr-ar/developer/" },
+    ],
+  },
+
+  socialLinks: [
+    { icon: "discord", link: "https://pupil-labs.com/chat" },
+    {
+      icon: {
+        svg: '<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M160-200v-360q0-19 8.5-36t23.5-28l240-180q21-16 48-16t48 16l240 180q15 11 23.5 28t8.5 36v360q0 33-23.5 56.5T720-120H600q-17 0-28.5-11.5T560-160v-200q0-17-11.5-28.5T520-400h-80q-17 0-28.5 11.5T400-360v200q0 17-11.5 28.5T360-120H240q-33 0-56.5-23.5T160-200Z"/></svg>',
+      },
+      link: "https://docs.pupil-labs.com/",
+      target: "_self",
+    },
+  ],
+};
+
+let theme_config = { ...default_theme_config, ...theme_config_additions };
+
+let config_additions = {
+  base: "/core/",
+  title: "Core",
+  titleTemplate: "Core - :title - Pupil Labs Docs",
+  description: "Documentation of Pupil Core eye tracker and ecosystem.",
+  vite: {
+    resolve: {
+      alias: [
+        {
+          find: /^.*\/VPNavBar\.vue$/,
+          replacement: fileURLToPath(
+            new URL(
+              "./../../components/header/CustomNavBar.vue",
+              import.meta.url
+            )
+          ),
+        },
+        {
+          find: /^.*\/VPDocFooter\.vue$/,
+          replacement: fileURLToPath(
+            new URL("./../../components/CustomDocFooter.vue", import.meta.url)
+          ),
+        },
+        {
+          find: "@components",
+          replacement: fileURLToPath(
+            new URL("./../../components", import.meta.url)
+          ),
+        },
+      ],
+    },
+  },
+};
+
+// https://vitepress.dev/reference/site-config
+export default defineConfig({
+  ...default_config,
+  ...config_additions,
+  themeConfig: theme_config,
+});
diff --git a/core/.vitepress/theme/index.ts b/core/.vitepress/theme/index.ts
new file mode 100644
index 000000000..55c6b567c
--- /dev/null
+++ b/core/.vitepress/theme/index.ts
@@ -0,0 +1,18 @@
+import type { Theme } from "vitepress";
+import DefaultTheme from "vitepress/theme";
+import ProductPageLayout from "@components/ProductPageLayout.vue";
+import Youtube from "@components/Youtube.vue";
+import PhotoGrid from "@components/PhotoGrid.vue";
+
+import "../../../custom.css";
+import "./tailwind.css";
+
+export default {
+  extends: DefaultTheme,
+  enhanceApp({ app }) {
+    // register your custom global components
+    app.component("ProductPageLayout", ProductPageLayout);
+    app.component("Youtube", Youtube);
+    app.component("PhotoGrid", PhotoGrid);
+  },
+} satisfies Theme;
diff --git a/core/.vitepress/theme/tailwind.css b/core/.vitepress/theme/tailwind.css
new file mode 100644
index 000000000..b5c61c956
--- /dev/null
+++ b/core/.vitepress/theme/tailwind.css
@@ -0,0 +1,3 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
diff --git a/src/core/academic-citation.md b/core/academic-citation/index.md
similarity index 97%
rename from src/core/academic-citation.md
rename to core/academic-citation/index.md
index a1543ab55..1f1ae701b 100644
--- a/src/core/academic-citation.md
+++ b/core/academic-citation/index.md
@@ -1,15 +1,7 @@
----
-permalink: /core/academic-citation
-description: Writing an academic paper that uses Pupil Labs products? Please cite us!
-
----
-
 # Academic Citation
 
 We have been asked a few times about how to cite Pupil Core in academic research. Please take a look at our papers below for citation options. If you're using Pupil Core as a tool in your research please cite the below UbiComp 2014 paper.
 
-For guidance on citing Pupil Invisible please see [here](/invisible/publications/).
-
 ## Papers that cite Pupil Core
 
 We have compiled a list of academic publications that use Pupil Labs products. You can find it [here](https://pupil-labs.com/publications/)!
diff --git a/src/media/core/imgs/bp-pye3d.png b/core/best-practices/bp-pye3d.png
similarity index 100%
rename from src/media/core/imgs/bp-pye3d.png
rename to core/best-practices/bp-pye3d.png
diff --git a/src/core/best-practices.md b/core/best-practices/index.md
similarity index 87%
rename from src/core/best-practices.md
rename to core/best-practices/index.md
index 1c508b609..203cff8af 100644
--- a/src/core/best-practices.md
+++ b/core/best-practices/index.md
@@ -1,8 +1,3 @@
----
-permalink: /core/best-practices
-description: Tips for conducting eye tracking experiments with the Pupil Core eye tracking platform.
----
-
 # Best Practices
 
 _Tips for conducting eye tracking experiments with the Pupil Core eye tracking platform._
@@ -63,7 +58,7 @@ The less movement your participants will exhibit during an experiment, the more
 
 ## Fixation Filter Thresholds
 
-Choosing appropriate thresholds for the [dispersion-based fixation filter](/core/terminology/#fixations) depends on the nature of the viewing task. It is worth noting that 
+Choosing appropriate thresholds for the [dispersion-based fixation filter](/terminology/#fixations) depends on the nature of the viewing task. It is worth noting that 
 there is no 'gold standard' approach. Often a decision is reached based on previous literature and/or professional judgment following inspection of gaze data
 and classified fixations. As an example, we refer the reader to [this paper](https://link.springer.com/content/pdf/10.3758%2FAPP.71.4.881.pdf)
 which provides a quantitative analysis of dispersion thresholds for chess players.
@@ -112,9 +107,9 @@ dispersion too high might group fixations together that should have been conside
 Ensure the maximum dispersion accommodates your viewing task.
 
 ## Blink Detector Thresholds
-In general, the default values for the [Blink Detector](/core/software/pupil-player/#blink-detector) should work reasonably 
+In general, the default values for the [Blink Detector](/software/pupil-player/#blink-detector) should work reasonably 
 well on good quality eye data with robust pupil detection. However, it is often necessary to adjust the thresholds in the 
-event that [blinks](/core/terminology/#blinks) are not accurately classified. Therefore, it is important to understand 
+event that [blinks](/terminology/#blinks) are not accurately classified. Therefore, it is important to understand 
 the types of errors that can occur and to be able to spot them when they occur, thereby enabling you to make appropriate 
 adjustments.
 
@@ -127,8 +122,8 @@ that have unreasonable durations
 ### Pupil Detection and Blinks
 It is worth noting that poor pupil detection in general can lead to false negatives. In such instances, adjusting the 
 thresholds can make it easier to detect blinks, but also increases the chance of false positives. It is worth taking the 
-time to ensure an optimal setup with regards to [eye camera positioning](/core/#_3-check-pupil-detection) and 
-[2d detector settings](/core/software/pupil-capture/#fine-tuning-pupil-detection) so that the pupils are well-detected
+time to ensure an optimal setup with regards to [eye camera positioning](/#_3-check-pupil-detection) and 
+[2d detector settings](/software/pupil-capture/#fine-tuning-pupil-detection) so that the pupils are well-detected
 when the eyes are open.
 
 ## Synchronization
@@ -136,18 +131,16 @@ Pupil Core is often used concurrently with third-party devices and software (e.g
 motion capture, stimuli presentation). In order to correlate the data between these, temporal alignment is of great importance.
 
 How you go about synchronizing Pupil Core with other devices or software will depend on the setup, but there are three 
-common approaches (steps 2–3 leverage our [Network API](/developer/core/network-api)):
+common approaches (steps 2–3 leverage our [Network API](/developer/network-api/)):
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
-Read about Pupil Core's [timing definitions here](/core/terminology/#timing).
+Read about Pupil Core's [timing definitions here](/terminology/#timing).
 :::
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 When using multiple Pupil Core devices (running on the same or multiple machines), be sure to turn-on 
 the [Network Time Sync Plugin](https://docs.pupil-labs.com/core/software/pupil-capture/#pupil-time-sync) which takes 
-care of Pupil Time synchronization. The [Pupil Groups Plugin](/core/software/pupil-capture/#pupil-groups) also helps when 
+care of Pupil Time synchronization. The [Pupil Groups Plugin](/software/pupil-capture/#pupil-groups) also helps when 
 using more than one Pupil Core device simultaneously. 
 :::
 
@@ -168,10 +161,10 @@ be monotonically increasing and are very accurate when it comes to measuring tim
 
 [In this tutorial](https://github.com/pupil-labs/pupil-helpers/blob/master/python/simple_realtime_time_sync.py), we
 demonstrate a simple real-time method to synchronize Pupil Time with a custom clock (e.g. used by third-party software). 
-For an even more accurate and stable time sync, see our [Pupil Time Sync Protocol](/core/software/pupil-capture/#pupil-time-sync).
+For an even more accurate and stable time sync, see our [Pupil Time Sync Protocol](/software/pupil-capture/#pupil-time-sync).
 
 ### 3. Annotations
-You can use our [Annotation Plugin](/core/software/pupil-capture/#annotations) to make annotations with a timestamp in 
+You can use our [Annotation Plugin](/software/pupil-capture/#annotations) to make annotations with a timestamp in 
 the recording on desired events, such as trigger events. Annotations can be sent via the keyboard or programmatically. 
 [This script](https://github.com/pupil-labs/pupil-helpers/blob/master/python/remote_annotations.py) demonstrates how you 
 can send remote annotations over the network.
@@ -179,35 +172,34 @@ can send remote annotations over the network.
 ## Pupillometry
 [Pupillometry](https://doi.org/10.1002/wcs.1323) is the study of temporal changes in pupil diameter in response to 
 external light stimuli and/or cognitive processing. Pupil Core reports pupil diameter in mm provided by the 
-[pye3d](/developer/core/pye3d/#pye3d-pupil-detection) model: `diameter_3d`, and in pixels as observed in the eye 
+[pye3d](/developer/pye3d/#pye3d-pupil-detection) model: `diameter_3d`, and in pixels as observed in the eye 
 videos: `diameter`. 
 
 Pupil size in pixels is dependent on the eye-camera to pupil distance and is not corrected for perspective. 
-[Pye3d](/developer/core/pye3d/#pye3d-pupil-detection), on the other hand, accounts for differences in eye-camera to 
+[Pye3d](/developer/pye3d/#pye3d-pupil-detection), on the other hand, accounts for differences in eye-camera to 
 pupil distances and corrects for perspective. It thus more accurately reflects pupil size and will be preferable for most 
 users.
 
 ### pye3d model
-A well-fit [pye3d](/developer/core/pye3d/#pye3d-pupil-detection) model is important for accurate estimates of pupil size 
+A well-fit [pye3d](/developer/pye3d/#pye3d-pupil-detection) model is important for accurate estimates of pupil size 
 in mm. To generate a well-fitting model, sample sufficient gaze points from a variety of gaze angles, e.g. by moving the 
 head around while looking at a fixed position. A well-fit model is visualized by a stable circle that surrounds the 
 modelled eyeball, and this should be of an equivalent size to the respective eyeball. A dark blue circle indicates that 
 the model is within physiological bounds, and a light blue circle out of physiological bounds.
 
-<v-img :src="require('../media/core/imgs/bp-pye3d.png')"></v-img>
-<br>
+![Py3D Model](./bp-pye3d.png)
 
 See the [pye3d release notes](https://github.com/pupil-labs/pupil/releases/tag/v3.4)for further details.
 
 ### Freeze the pye3d model
-:::tip <v-icon large color="info">info_outline</v-icon>
+:::tip
 A frozen model **is not** robust to headset slippage (erroneous movements of the headset on the wearer) as it is 
 prevented from adapting to headset movements. If using a frozen model, and the headset slips during the experiment, 
 erroneous pupil size estimates can occur. Therefore, only use this option if the experiment is tightly controlled with 
 limited head movements, and keep recordings short and free of slippage as much as possible.
 :::
 
-The [pye3d model](/developer/core/pye3d/#pye3d-pupil-detection) regularly updates to account for headset slippage. In 
+The [pye3d model](/developer/pye3d/#pye3d-pupil-detection) regularly updates to account for headset slippage. In 
 certain situations, this can lead to incorrect pupil size estimates:
 1. Actual Headset Slippage: The headset slips on the wearer, and a 2d pupil datum is generated **prior** to the 3d model 
    adjusting
@@ -220,8 +212,8 @@ You should only freeze the model when it is well-fitting as per the description
 'Actual Headset Slippage' can only be avoided by eliminating headset slippage, which should be a key aim when performing
 pupillometry in general, and especially when freezing the model.
 
-:::tip <v-icon large color="info">info_outline</v-icon>
+:::tip 
 You can also freeze the model when running 
-[post-hoc pupil detection in Pupil Player](/core/software/pupil-player/#pupil-data-and-post-hoc-detection/). Moreover, 
+[post-hoc pupil detection in Pupil Player](/software/pupil-player/#pupil-data-and-post-hoc-detection/). Moreover, 
 clicking 're-detect' after freezing the model will apply the frozen model from the beginning of the recording.
 :::
diff --git a/src/core/developer/overview.md b/core/developer/index.md
similarity index 89%
rename from src/core/developer/overview.md
rename to core/developer/index.md
index e57aa77f6..37c3fa4ca 100644
--- a/src/core/developer/overview.md
+++ b/core/developer/index.md
@@ -1,32 +1,25 @@
----
-permalink: /developer/core/overview
-description: Welcome to Pupil Core developer documentation.
----
-
 # Overview
 
 Welcome to Pupil Core developer documentation. If you haven't already, we
-highly recommend reading the [_Getting Started_](/core/#getting-started) section and the [_User Guide_](/core/software/pupil-capture), before continuing with the developer documentation.
+highly recommend reading the [_Getting Started_](/#getting-started) section and the [_User Guide_](/software/pupil-capture/), before continuing with the developer documentation.
 
 Have a question? Get in touch with developers and other community members on the `#pupil-software-dev`
 channel on [Discord](https://pupil-labs.com/chat).
 
-<v-divider></v-divider>
 ## Where to start?
 
 There are a number of ways you can interact with Pupil Core as a developer.
-- **Use the realtime API**: The Pupil Core [Network API](/developer/core/network-api) allows you to remote control Pupil Core software and send/receive data realtime. It provides access to nearly all data generated by Pupil Core software: gaze, fixation, video data, and much more! The API can be used with any programming language that supports
+- **Use the realtime API**: The Pupil Core [Network API](/developer/network-api/) allows you to remote control Pupil Core software and send/receive data realtime. It provides access to nearly all data generated by Pupil Core software: gaze, fixation, video data, and much more! The API can be used with any programming language that supports
 [zeromq](https://zeromq.org/) and [msgpack](https://msgpack.org/).
-- **Develop a plugin**: Pupil Core software is desgined with extendability in mind. It provides a simple yet powerful [Plugin API](/developer/core/plugin-api) that is used by nearly all existing Pupil Core components. Develop a plugin when you need to access to data that is _not provided_ via the Network API.
+- **Develop a plugin**: Pupil Core software is desgined with extendability in mind. It provides a simple yet powerful [Plugin API](/developer/plugin-api/) that is used by nearly all existing Pupil Core components. Develop a plugin when you need to access to data that is _not provided_ via the Network API.
 - **Modify source code**: Can't do what you need to do with the network based API or plugin? Then get ready to dive into the inner workings of Pupil, set up dependencies, and [run from source](#running-from-source)!
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 In most cases you can simply [download Pupil Core app bundles](https://github.com/pupil-labs/pupil/releases/latest) and extend the functionality via API or Plugin.
 :::
 
 ## Terminology
-There are a lot of new terms that are specific to eye and to Pupil Core. We have compiled a small list in the [terminology section](/core/terminology).
+There are a lot of new terms that are specific to eye and to Pupil Core. We have compiled a small list in the [terminology section](/terminology/).
 
 ## Timing & Data Conventions
 Pupil Capture is designed to work with multiple cameras that free-run at different
@@ -38,7 +31,7 @@ needs the data to be correlated (e.g. calibration, visualization, analyses).
 Example: Pupil Capture data format records the world video frames with their
 respective timestamps. Independent of this, the recorder saves the detected gaze
 and pupil positions at their own frame rate and with their timestamps. For details about
-the stored data, see the [recording format](/core/software/recording-format "Pupil Core recording format") section.
+the stored data, see the [recording format](/software/recording-format/ "Pupil Core recording format") section.
 
 Pupil Core software uses simple key-value structures to represent single data points.
 Key-value structures can easily be serialized and nearly all programming languages have
@@ -48,7 +41,7 @@ Each data point should have at least two keys `topic` and `timestamp`. Each data
 
 1. `topic`: Identifies the type of the object. We recommend that you specify subtypes,
 separated by a `.`
-2. `timestamp`: [Pupil time](/core/terminology/#pupil-time) at which the datum was generated.
+2. `timestamp`: [Pupil time](/terminology/#pupil-time) at which the datum was generated.
 
 ## Pupil Data Matching
 Because Pupil Capture receives data from free-running eye cameras with sampling rates that may not be in sync, it employs 
@@ -105,10 +98,9 @@ and the [matching evaluation here](https://github.com/pupil-labs/pupil-matching-
 
 ## Convert Pupil Time to System Time
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Converting Pupil Time to System Time can helpful if you have other data recorded using System Time on the same 
 machine. However, be aware that the accuracy of System Time is variable and depends on the device's network time 
-protocol. Before using System Time for synchronization purposes, read our [Best Practices](/core/best-practices/#sychronization).
+protocol. Before using System Time for synchronization purposes, read our [Best Practices](/best-practices/#sychronization).
 :::
 
 When a Pupil Core recording is started, the time from both clocks is stored. Therefore, we know how they relate to each 
@@ -162,7 +154,7 @@ topic and the `timestamp` (inherited from the eye image), the pupil detector add
 - `confidence`: Value indicating quality of the measurement
 
 By default, the Pupil Core software uses the
-[3d detector](/core/software/pupil-capture#pupil-detection) for pupil detection.
+[3d detector](/software/pupil-capture/#pupil-detection) for pupil detection.
 Since it is an extension of the 2d detector, its data contains keys that were
 inherited from the 2d detection, as well as 3d detector specific keys. The minimal set of keys needed in a valid pupil datum object is: `id`, `topic`, `method`, `norm_pos`, `diameter`, `timestamp`, and `confidence`. Below you can
 see the Python representation of a 3d pupil datum:
@@ -267,14 +259,14 @@ accessed using the `base_data` key.
 
 ## Surface Datum Format
 
-Surface data is published when the [surface tracker](/core/software/pupil-capture/#surface-tracking)
+Surface data is published when the [surface tracker](/software/pupil-capture/#surface-tracking)
 is able to detect a defined surface. It includes
 - the name of the detected surface,
 - the timestamp of the video frame in which it was detected,
 - the homographies to transform surface to image coordinates and vice versa,
 - gaze and fixation data that was mapped onto the surface.
 
-The gaze and fixation `norm_pos` fields contain [surface coordinates](/core/terminology/#surface-aoi-coordinate-system). The `base_data` field is a tuple of the
+The gaze and fixation `norm_pos` fields contain [surface coordinates](/terminology/#surface-aoi-coordinate-system). The `base_data` field is a tuple of the
 original topic and its timestamp.
 
 ```py
@@ -322,14 +314,12 @@ original topic and its timestamp.
 }
 ```
 
-<v-divider></v-divider>
 
 ## Running From Source
 
 Follow the setup instructions for your OS on the Pupil Core [Github repo](https://github.com/pupil-labs/pupil)
 
 ::: warning
-<v-icon large color="warning">info_outline</v-icon>
 When running from source, the [user settings](#installation) are not placed in the user's
 home directory but in the root directory of the cloned repository.
 :::
diff --git a/src/core/developer/network-api.md b/core/developer/network-api/index.md
similarity index 93%
rename from src/core/developer/network-api.md
rename to core/developer/network-api/index.md
index ee764a187..34e46abc6 100644
--- a/src/core/developer/network-api.md
+++ b/core/developer/network-api/index.md
@@ -1,8 +1,3 @@
----
-permalink: /developer/core/network-api
-description: There are two different ways that you can interact with the Pupil Core Network API. We outline how the basic communication works and how you can access the different stages of the Network API.
----
-
 # Network API
 
 There are two different ways that you can interact with the Pupil Core Network API:
@@ -34,7 +29,6 @@ pupil_remote.connect('tcp://127.0.0.1:50020')
 ```
 
 :::tip
-<v-icon large color="info">info_outline</v-icon>
 Pupil Remote accepts requests via a `REP` socket, by default on port `50020`.
 Alternatively, you can provide a custom port via the `--port` application argument.
 :::
@@ -53,7 +47,6 @@ print(pupil_remote.recv_string())
 ```
 
 ::: warning
-<v-icon large color="warning">info_outline</v-icon>
 For every message that you send to Pupil Remote, you need to receive the response. If
 you do not call `recv()`, Pupil Capture might become unresponsive!
 :::
@@ -76,11 +69,10 @@ This is an overview over all available Pupil Remote commands:
 
 :::danger Delayed Execution
 Pupil Remote commands can be subject to transmission delay (e.g. from network latency). This is especially important to keep in mind for the `T`, `t`, and `R` commands. 
-<br/><br/>We do not recommend using `R` for time synchronization. In addition to transmission delay, not all recording processes are guaranteed to start simultaneously when Pupil Capture receives the command. Please read our [Best Practices](/core/best-practices/#synchronization) for more appropriate methods of time synchronization. 
+<br/><br/>We do not recommend using `R` for time synchronization. In addition to transmission delay, not all recording processes are guaranteed to start simultaneously when Pupil Capture receives the command. Please read our [Best Practices](/best-practices/#synchronization) for more appropriate methods of time synchronization. 
 :::
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Pupil Service does not support the creation of recordings, i.e. the `R` and `r` commands
 do not work with Pupil Service.
 :::
@@ -90,7 +82,7 @@ for a full example interaction with Pupil Remote.
 
 ## Pupil Groups
 
-The [Pupil Groups plugin](/core/software/pupil-capture/#pupil-groups) uses the [ZRE protocol](https://rfc.zeromq.org/spec:36/ZRE/) to implement real-time local network discovery and many-to-many communication.
+The [Pupil Groups plugin](/software/pupil-capture/#pupil-groups) uses the [ZRE protocol](https://rfc.zeromq.org/spec:36/ZRE/) to implement real-time local network discovery and many-to-many communication.
 Common workflows like starting and stopping a recording are already implemented by Pupil Capture to use and respond to the Pupil Groups interface, if available.
 
 If you want to integrate Pupil Groups in your own app or device, have a look at the [ZRE protocol specification](https://rfc.zeromq.org/spec:36/ZRE/).
@@ -154,7 +146,7 @@ while True:
     print(f"{topic}: {message}")
 ```
 
-See the [data conventions](/developer/core/overview/#timing-data-conventions) and
+See the [data conventions](/developer/#timing-data-conventions) and
 [message format](#ipc-backbone-message-format) sections for details on the data format.
 
 ## IPC Backbone Message Format
@@ -176,7 +168,7 @@ Messages can have any topic chosen by the user. See topics below for a list of m
 Pupil data is sent from the eye0 and eye1 process with the topic format `pupil.<EYE_ID>.<PUPIL_DETECTOR_IDENTIFIER>`, where `EYE_ID` is `0` or `1` for eye0 and eye1 respectively, and `PUPIL_DETECTOR_IDENTIFIER` is a string that uniquely identifies the pupil detector plugin that produced the message. In the case of the built-in pupil detectors, the identifier corresponds to `2d` and `3d` respectively. Therefore, the built-in detectors publish the following four topics: `pupil.0.2d`, `pupil.1.2d`, `pupil.0.3d`, `pupil.1.3d`.
 
 Gaze mappers receive this data and publish messages with topic `gaze`. See the
-[Timing & Data Conventions](/developer/core/overview/#pupil-datum-format) section for example messages for the
+[Timing & Data Conventions](/developer/#pupil-datum-format) section for example messages for the
 `pupil` and `gaze` topics.
 
 ### Notification Message
@@ -199,7 +191,7 @@ topic = f"notify.{notification['subject']}"
 
 You should use the `notify` topic for coordination with the app. All notifications
 on the IPC Backbone are automatically made available to all plugins in their
-[`on_notify` callback](/developer/core/plugin-api/#plugin-callback-methods) and used in all Pupil apps.
+[`on_notify` callback](/developer/plugin-api/#plugin-callback-methods) and used in all Pupil apps.
 
 In stark contrast to gaze and pupil, the notify topic should **not** be used at high
 volume. If you find that you need to write more than 10 messages a second, it is
@@ -221,7 +213,7 @@ pub_socket.send_string(topic, flags=zmq.SNDMORE)
 pub_socket.send(msgpack.dumps(payload, use_bin_type=True))
 ```
 
-The script above requires you to implement a custom [Plugin](/developer/core/plugin-api/) to process the
+The script above requires you to implement a custom [Plugin](/developer/plugin-api/) to process the
 incoming messages. Alternatively, you can use remote annotations.
 
 ### Fixation Messages
@@ -260,7 +252,7 @@ The Offline Fixation Detector in Pupil Player additionally includes the followin
 ```
 
 ## Blink Messages
-The online [Blink Detector](/core/software/pupil-capture/#blink-detector) in Pupil Capture publishes the following notification:
+The online [Blink Detector](/software/pupil-capture/#blink-detector) in Pupil Capture publishes the following notification:
 ```python
 {   # blink datum
     'topic': 'blink',
@@ -272,7 +264,7 @@ The online [Blink Detector](/core/software/pupil-capture/#blink-detector) in Pup
 ```
 
 ### Remote Annotations
-You can also create [annotation](/core/software/pupil-capture/#annotations) events
+You can also create [annotation](/software/pupil-capture/#annotations) events
 programmatically and send them using the IPC, or by sending messages to the Pupil Remote
 interface. Here is an example annotation.
 
@@ -286,13 +278,11 @@ interface. Here is an example annotation.
 ```
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 You can add custom fields to your annotation which will be included in the
-[csv export](/core/software/pupil-player/#annotation-export).
+[csv export](/software/pupil-player/#annotation-export).
 :::
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 <a href="https://github.com/pupil-labs/pupil-helpers/blob/master/python/remote_annotations.py" title="remote annotation script">This script</a> demonstrates how to send remote annotations. Use this script as a starting point for your integrations.
 :::
 
@@ -484,7 +474,6 @@ actors' messages. Therefore, it is the Backbone of all communication to/from and
 within the Pupil Core software.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Note - The main process does not do any CPU heavy work. It only runs the proxy, launches
 other processes and does a few other light tasks.
 :::
@@ -527,7 +516,6 @@ ZMQ PUB SUB will make no guarantees for delivery. Reasons for not receiving mess
 For more information see [ZMQ Guide Chapter 5 - Advanced Pub-Sub Patterns](http://zguide.zeromq.org/php:chapter5).
 
 :::tip
-<v-icon large color="info">info_outline</v-icon>
 In order to avoid accidentally dropping notifications in Pupil, we use a `PUSH` instead
 of an `PUB` socket. It acts as an intermediary for notifications and guarantees that any
 notification sent to the IPC Backbone, is processed and published by it.
diff --git a/src/core/developer/plugin-api.md b/core/developer/plugin-api/index.md
similarity index 94%
rename from src/core/developer/plugin-api.md
rename to core/developer/plugin-api/index.md
index 2840bf7cf..3735cf09e 100644
--- a/src/core/developer/plugin-api.md
+++ b/core/developer/plugin-api/index.md
@@ -1,8 +1,3 @@
----
-permalink: /developer/core/plugin-api
-description: In Pupil Core, plugins are distributed as Python files that are loaded and executed at runtime.
----
-
 # Plugin API
 
 In Pupil Core, plugins are distributed as Python files that are loaded and executed at
@@ -26,11 +21,10 @@ user's home directory and follows this naming convention: `pupil_<name>_settings
 Each user directory has a `plugins` subdirectory into which the plugin files need to be
 placed. The Pupil Core software will attempt to load the files during the next launch.
 
-If the plugin was installed correctly, it should appear in the [Plugin Manager](/core/software/pupil-capture/#plugins)
+If the plugin was installed correctly, it should appear in the [Plugin Manager](/software/pupil-capture/#plugins)
 of the corresponding Pupil Core software. Check the log file (`~/pupil_<name>_settings/<name>.log`) for errors if this is not the case.
 
 ::: warning
-<v-icon large color="warning">info_outline</v-icon>
 The bundled applications use their own isolated Python environment, i.e. the plugin will
 not recognize your local `pip` installation! Any additional dependencies need to be
 installed into the `plugins` folder, next to the plugin.
@@ -38,7 +32,7 @@ installed into the `plugins` folder, next to the plugin.
 
 ## Development
 
-For the plugin development process, we recommend to [run from source](/developer/core/overview/#running-from-source).
+For the plugin development process, we recommend to [run from source](/developer/#running-from-source).
 
 ### Language
 Pupil is written in `Python 3.6`, but no "heavy lifting" is done in Python. High performance computer vision, media compression, display libraries, and custom functions are written in external libraries or c/c++ and accessed though [cython](http://cython.org/). Python plays the role of "glue" that sticks all the pieces together.
@@ -60,7 +54,7 @@ The eye process only has one purpose - to detect the pupil and broadcast its pos
 * Find the pupil position in the image
 * Broadcast/stream the detected pupil position.
 
-See the [terminology section](/core/terminology "Pupil Core - terminology") for the difference between pupil and gaze data.
+See the [terminology section](/terminology/ "Pupil Core - terminology") for the difference between pupil and gaze data.
 
 ### World Process
 This is the workhorse in Pupil Capture.
@@ -95,7 +89,7 @@ class MyCustomPlugin(Plugin):
     pass
 ```
 
-Plugins are automatically listed in the [Plugin Manager](/core/software/pupil-capture/#plugins)
+Plugins are automatically listed in the [Plugin Manager](/software/pupil-capture/#plugins)
 unless they inherit from a set of special classes (`System_Plugin_Base`, `Base_Manager`,
 `Base_Source`, `CalibrationChoreographyPlugin`, `GazerBase`).
 
@@ -168,7 +162,6 @@ class MyCustomPlugin(Plugin):
 ```
 
 ::: warning
-<v-icon large color="warning">info_outline</v-icon>
 The top-level keys of the `get_init_dict` dictionary must be of type `str` and its
 values must be primitive Python types that can be encoded by [msgpack](https://msgpack.org/).
 :::
@@ -183,9 +176,9 @@ generated, or processed by calling the plugin processing callbacks below in incr
 
 | Callback                        | Description                                                                                                                                                                                                                                                                                                                                                                                                                                          |
 |---------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| `recent_events(self, events)`   | Called once per application event cycle. `events` is a dictionary with string-keys and built-in python typed values, e.g. lists, dicts, etc. Plugins can add new entries to propagate data to plugins with higher `order`. Entries are stored to their corresponding [`.pldata`](/developer/core/recording-format/#pldata-files) files during recording and published on the [IPC backend](/developer/core/network-api/#ipc-backbone-message-forma). |
+| `recent_events(self, events)`   | Called once per application event cycle. `events` is a dictionary with string-keys and built-in python typed values, e.g. lists, dicts, etc. Plugins can add new entries to propagate data to plugins with higher `order`. Entries are stored to their corresponding [`.pldata`](/developer/recording-format/#pldata-files) files during recording and published on the [IPC backend](/developer/network-api/#ipc-backbone-message-forma). |
 | `gl_display(self)`              | Called once per application event cycle if the calling process has a user interface. Plugins should implement any custom OpenGL visualizations here.                                                                                                                                                                                                                                                                                                 |
-| `on_notify(self, notification)` | Called once for each [`notification`](/developer/core/network-api/#notification-message).                                                                                                                                                                                                                                                                                                                                                            |
+| `on_notify(self, notification)` | Called once for each [`notification`](/developer/network-api/#notification-message).                                                                                                                                                                                                                                                                                                                                                            |
 
 Custom data example:
 ```python
@@ -221,7 +214,7 @@ In addition to the callbacks, the plugin implements a series of useful functions
 interact with the application.
 | Utility methods                 | Description                                                                                     |
 |---------------------------------|-------------------------------------------------------------------------------------------------|
-| `self.notify_all(notification)` | Sends a [`notification`](/developer/core/network-api/#notification-message) to the IPC backend. |
+| `self.notify_all(notification)` | Sends a [`notification`](/developer/network-api/#notification-message) to the IPC backend. |
 | `self.add_menu()`               | Creates a settings menu. Typically called within  `self.init_ui()`.                             |
 | `self.remove_menu()`            | Removes `self.menu`. Typically called within `self.deinit_ui()`                                 |
 
@@ -236,8 +229,7 @@ Conceptually, pupil detection plugins are wrappers around pupil detectors to mak
 Custom pupil detectors must subclass the [DetectorBase class](https://github.com/pupil-labs/pupil-detectors/blob/master/src/pupil_detectors/detector_base.pyx), while custom pupil detection plugins must subclass the [PupilDetectorPlugin class](https://github.com/pupil-labs/pupil/blob/master/pupil_src/shared_modules/pupil_detector_plugins/detector_base_plugin.py).
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
-See [Pupil Datum Format](https://docs.pupil-labs.com/developer/core/overview/#pupil-datum-format) for a list of required keys of the pupil datum dictionary returned by the `detect` method.
+See [Pupil Datum Format](https://docs.pupil-labs.com/developer/#pupil-datum-format) for a list of required keys of the pupil datum dictionary returned by the `detect` method.
 :::
 
 ```py
@@ -276,7 +268,7 @@ class MyCustomPupilDetectorPlugin(PupilDetectorPlugin):
         #
         # Returns a pupil datum dictionary containing the pupil location and related metadata.
         # See Pupil Datum Format for a list of required keys:
-        # https://docs.pupil-labs.com/developer/core/overview/#pupil-datum-format
+        # https://docs.pupil-labs.com/developer/overview/#pupil-datum-format
         pass
 ```
 
diff --git a/src/core/developer/pye3d.md b/core/developer/pye3d/index.md
similarity index 98%
rename from src/core/developer/pye3d.md
rename to core/developer/pye3d/index.md
index 0139f21d3..e0cb32e36 100644
--- a/src/core/developer/pye3d.md
+++ b/core/developer/pye3d/index.md
@@ -1,8 +1,3 @@
----
-permalink: /developer/core/pye3d
-description: A model-based 3d pupil detector with corneal refraction correction
----
-
 # pye3d Pupil Detection
 
 ### pye3d uses a model-based approach
diff --git a/src/core/developer/recording-format.md b/core/developer/recording-format/index.md
similarity index 93%
rename from src/core/developer/recording-format.md
rename to core/developer/recording-format/index.md
index afb6616d1..71e30339e 100644
--- a/src/core/developer/recording-format.md
+++ b/core/developer/recording-format/index.md
@@ -1,8 +1,3 @@
----
-permalink: /developer/core/recording-format
-description: We recommend reading the format thoroughly if you want to develop software that creates recordings on its own, or processes existing recordings without having to open them in Pupil Player.
----
-
 # Recording Format
 
 This section outlines the Pupil Player recording format. We recommend reading it
@@ -18,7 +13,6 @@ The [Pupil Player Recording Format 2.0](https://github.com/pupil-labs/pupil/blob
 See its [specification](https://github.com/pupil-labs/pupil/blob/master/pupil_src/shared_modules/pupil_recording/README.md) for details.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Pupil Invisible recordings have their own meta file definitions:
 `info.csv` and `info.json`. When opened in Pupil Player, the meta info file
 will be transformed the Pupil Player Recording Format 2.0.
diff --git a/src/core/diy/README.md b/core/diy/index.md
similarity index 93%
rename from src/core/diy/README.md
rename to core/diy/index.md
index 29d42ef6a..8eb57d899 100644
--- a/src/core/diy/README.md
+++ b/core/diy/index.md
@@ -1,13 +1,8 @@
----
-description: If you are planning on using Pupil exclusively for noncommercial purposes, and are not afraid of hacking, then we have made a guide to help create a Pupil DIY headset.
----
-
 # DIY
 
 If you are an individual planning on using Pupil exclusively for noncommercial purposes, and are not afraid of SMD soldering and hacking – then, buy the parts, modify the cameras, and assemble a Pupil DIY headset. We have made a guide to help you and a shopping list.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 The Pupil DIY Kit is not for commercial use or commercial clients.
 :::
 
@@ -81,7 +76,6 @@ We release the [CAD files for the camera mounts](https://github.com/pupil-labs/p
 By releasing the mounts as example geometry we automatically document the interface. You can use the CAD files to take measurements and make your own mounts.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 The tolerances may need to be changed for your material or fabrication process.
 :::
 
diff --git a/src/media/core/videos/clb-hd.mp4 b/core/getting-started/clb-hd.mp4
similarity index 100%
rename from src/media/core/videos/clb-hd.mp4
rename to core/getting-started/clb-hd.mp4
diff --git a/src/media/core/videos/clb-s.mp4 b/core/getting-started/clb-s.mp4
similarity index 100%
rename from src/media/core/videos/clb-s.mp4
rename to core/getting-started/clb-s.mp4
diff --git a/src/core/README.md b/core/getting-started/index.md
similarity index 74%
rename from src/core/README.md
rename to core/getting-started/index.md
index 7177bd36d..af5c89090 100644
--- a/src/core/README.md
+++ b/core/getting-started/index.md
@@ -1,39 +1,33 @@
 ---
-description: Welcome to Pupil Core! This section will guide you through setup (software and hardware) in order for you to make your first recording with Pupil Core. 
+description: Welcome to Pupil Core! This section will guide you through setup (software and hardware) in order for you to make your first recording with Pupil Core.
+
+sidebar: false 
 ---
 
 # Getting Started
 Welcome to Pupil Core! The first thing you need to do is download the latest Pupil Core software.
 
-<DownloadLinks/>
+<!-- <DownloadLinks/> -->
 
 Follow the steps below to get up and running and become familiar with the workflow.
 
-<v-divider></v-divider>
 
 ## 1. Put on Pupil Core
 Put on the Pupil Core headset and plug it into your computer.
 
-Make sure there is space between the headset frame and your forehead. Headsets are adjustable and shipped with additional parts. For more information head over to the [Hardware](/core/hardware/ "Pupil Core hardware documentation") section of the docs.
+Make sure there is space between the headset frame and your forehead. Headsets are adjustable and shipped with additional parts. For more information head over to the [Hardware](/hardware/ "Pupil Core hardware documentation") section of the docs.
 
 ## 2. Launch Pupil Capture
 
-<div class="pb-4">
-  <v-img :src="require('../media/core/icons/pc.png')" style="display:flex;margin:0 auto;width:100px;"></v-img>
-</div>
+![Pupil Capture Icon](./pc.png)
 
 Start Pupil Capture on your computer. Once the program has initialized, a world video window and eye video windows will appear.
 
-<!-- ::: warning
-<v-icon large color="warning">info_outline</v-icon>
-Windows 10 users - start Pupil Capture as **administrator**. This is required for camera drivers to be installed. Having trouble with drivers? See [Windows 10 troubleshooting](/core/software/pupil-capture/#troubleshooting "Pupil Core software troubleshooting").
-:::
- -->
 ## 3. Check Pupil Detection
 
 Capturing good raw videos of the eyes is essential for successful eye tracking with Pupil Core.
 
-You will need to [physically adjust](/core/hardware/#headset-adjustments "Pupil Core headset adjustments") the eye cameras on your Pupil Core headset to get good images of the eyes.
+You will need to [physically adjust](/hardware/#headset-adjustments "Pupil Core headset adjustments") the eye cameras on your Pupil Core headset to get good images of the eyes.
 
 Take a look at the eye window(s).
 
@@ -60,13 +54,18 @@ Tip - There is another way to build the 3d model. You can also move your head ar
 ## 4. Calibration
 In order to know what someone is looking at, we must establish a mapping between pupil and gaze positions. This is what we call calibration. The calibration process establishes a mapping from pupil to gaze coordinates.
 
-<Videos :src="require(`../media/core/videos/clb-hd.mp4`)" />
+<video width="100%" controls>
+  <source src="./clb-hd.mp4" type="video/mp4">
+</video>
+
 
 #### Screen Marker Calibration Method
 Click `c` on the world screen or press `c` on the keyboard to start calibrating.
 Follow the marker on the screen with your eyes and try to keep your head stationary.
 
-<Videos :src="require(`../media/core/videos/clb-s.mp4`)" />
+<video width="100%" controls>
+  <source src="./clb-s.mp4" type="video/mp4">
+</video>
 
 ::: tip
 Tip - Want to calibrate with a physical marker? Check out alternative calibration choreographies <a href="https://docs.pupil-labs.com/core/software/pupil-capture/#calibration">here</a>.
@@ -80,7 +79,9 @@ Pupil Capture will save the world video stream and all the corresponding gaze da
 
 **Start/Stop recording**: Press the `r` key on your keyboard or press the circular `R` button on the left hand side of the world window. The elapsed recording time will appear next to the `R` button.
 
-<Videos :src="require(`../media/core/videos/rec.mp4`)" />
+<video width="100%" controls>
+  <source src="./rec.mp4" type="video/mp4">
+</video>
 
 ## 6. Locate Saved Recording
 
@@ -99,9 +100,7 @@ recordings/
 ## 7. Visualize in Pupil Player
 Launch Pupil Player. Then drag and drop the recording folder (e.g `001`) onto the Pupil Player window.
 
-<div class="pb-4">
-  <v-img :src="require('../media/core/icons/pp.png')" style="display:flex;margin:0 auto;width:100px;"></v-img>
-</div>
+![Pupil Player Icon](./pp.png)
 
 Player comes with a number of plugins. Plugins are classified by their use-case. Visualization plugins can be additive. This means that you can add multiple instances of a plugin to build up a visualization.
 
@@ -110,4 +109,4 @@ You can export videos and data by pressing `e` on your keyboard or the down arro
 
 Exports are saved within a dedicated folder named exports within the original recording folder.
 
-Read more about the [recording format](/core/software/recording-format/#pupil-core "Pupil Core recording format")
+Read more about the [recording format](/software/recording-format/#pupil-core "Pupil Core recording format")
diff --git a/src/media/core/icons/pc.png b/core/getting-started/pc.png
similarity index 100%
rename from src/media/core/icons/pc.png
rename to core/getting-started/pc.png
diff --git a/src/media/core/icons/pp.png b/core/getting-started/pp.png
similarity index 100%
rename from src/media/core/icons/pp.png
rename to core/getting-started/pp.png
diff --git a/src/media/core/videos/rec.mp4 b/core/getting-started/rec.mp4
similarity index 100%
rename from src/media/core/videos/rec.mp4
rename to core/getting-started/rec.mp4
diff --git a/src/media/core/imgs/core_hardware_intro.jpg b/core/hardware/core_hardware_intro.jpg
similarity index 100%
rename from src/media/core/imgs/core_hardware_intro.jpg
rename to core/hardware/core_hardware_intro.jpg
diff --git a/src/media/core/imgs/e200.jpg b/core/hardware/e200.jpg
similarity index 100%
rename from src/media/core/imgs/e200.jpg
rename to core/hardware/e200.jpg
diff --git a/src/media/core/videos/eye-adjust.mp4 b/core/hardware/eye-adjust.mp4
similarity index 100%
rename from src/media/core/videos/eye-adjust.mp4
rename to core/hardware/eye-adjust.mp4
diff --git a/src/media/core/videos/eyecam-screw.mp4 b/core/hardware/eyecam-screw.mp4
similarity index 100%
rename from src/media/core/videos/eyecam-screw.mp4
rename to core/hardware/eyecam-screw.mp4
diff --git a/src/core/hardware/README.md b/core/hardware/index.md
similarity index 78%
rename from src/core/hardware/README.md
rename to core/hardware/index.md
index 7abc240de..c8201abac 100644
--- a/src/core/hardware/README.md
+++ b/core/hardware/index.md
@@ -1,7 +1,3 @@
----
-description: Learn about the Pupil Core eye tracking headset, adjustments, and accessories. 
----
-
 # Hardware
 You wear Pupil Core headset like a pair of glasses. The headset is designed to be lightweight and adjustable in order to accommodate a wide range of users.
 
@@ -9,9 +5,7 @@ You wear Pupil Core headset like a pair of glasses. The headset is designed to b
 There are many Pupil Core headset configurations. So, your headset might look different from images and videos below.
 :::
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/core_hardware_intro.jpg')" width="100%" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Pupil Core Hardware](./core_hardware_intro.jpg)
 
 **Terminology**
 1. World camera
@@ -54,10 +48,11 @@ We recommend setting the set screw so that you can still move the eye camera by
 
 You can also tighten the set screw to fix the eye camera in place.
 
-<Videos :src="require(`../../media/core/videos/eyecam-screw.mp4`)" />
+<video width="100%" controls>
+  <source src="./eyecam-screw.mp4" type="video/mp4">
+</video>
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Before you calibrate, make sure to properly adjust the headset to get optimal eye detection and world camera FOV.
 :::
 
@@ -66,36 +61,36 @@ Before you calibrate, make sure to properly adjust the headset to get optimal ey
 ### Focus World Camera
 Set the focus for the distance at which you will be calibrating by rotating the camera lens.
 
-<Videos :src="require(`../../media/core/videos/worldcam-focus.mp4`)" />
+<video width="100%" controls>
+  <source src="./worldcam-focus.mp4" type="video/mp4">
+</video>
 
 ### No Focus 200Hz Eye Camera
 
 ::: warning
-<v-icon large color="warning">error_outline</v-icon>
 200Hz eye cameras **do not** need to be focused, and **can not be focused**. The lens of the 200Hz eye camera is arrested using glue. Twisting the lens will risk breaking the mount.
 :::
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/e200.jpg')" width="100%" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Pupil Core eye camera](./e200.jpg)
 
 ### Focus 120Hz Eye Camera
 If you have a 120Hz eye camera, make sure the eye camera is in focus. Twist the lens focus ring of the eye camera with your fingers or lens adjuster tool to bring the eye camera into focus.
 
-<Videos :src="require(`../../media/core/videos/eye-adjust.mp4`)" />
+<video width="100%" controls>
+  <source src="./eye-adjust.mp4" type="video/mp4">
+</video>
 
 ## Additional Parts
 
 ### World Camera Lens
 The high speed world camera comes with two lenses.
-A narrow angle lens and a wide angle lens. The default lens is the wide angle lens. Check out the camera [field of view table](/core/software/pupil-capture/#camera-field-of-view-fov "Pupil Labs camera field of view table") for exact FOV measurements for each lens at different resolutions. 
+A narrow angle lens and a wide angle lens. The default lens is the wide angle lens. Check out the camera [field of view table](/software/pupil-capture/#camera-field-of-view-fov "Pupil Labs camera field of view table") for exact FOV measurements for each lens at different resolutions. 
 
 The world camera lens are interchangeable, so you can swap between the two lenses provided for wide angle or narrow angle field of view.
 
 ::: warning
-<v-icon large color="warning">error_outline</v-icon>
-If you change lenses, you will need to re-estimate the [camera intrinsics](/core/terminology/#camera-intrinsics). Otherwise, 3d calibration and subsequently gaze
-estimation will be inaccurate. Check out [these instructions](/core/software/pupil-capture/#camera-intrinsics-estimation) 
+If you change lenses, you will need to re-estimate the [camera intrinsics](/terminology/#camera-intrinsics). Otherwise, 3d calibration and subsequently gaze
+estimation will be inaccurate. Check out [these instructions](/software/pupil-capture/#camera-intrinsics-estimation) 
 for details of how to re-estimate the camera intrinsics.
 :::
 
@@ -116,7 +111,6 @@ Steps:
 The eye camera arm extender works for all existing 120 and 200Hz systems.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Starting on `2018-02-01` the arm extender is shipped with all Pupil Core headset orders. If you have an older headset, you can get the extender from our [Shapeways store](http://shpws.me/PL6w).
 :::
 
@@ -126,7 +120,6 @@ All Pupil Core headsets come with 2 sets of nose pads. You can swap the nose pad
 <Youtube src="dinaWX5tkPA"/>
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Depending on your configuration, some additional parts may be included with your Pupil headset.
 :::
 
diff --git a/src/media/core/videos/worldcam-focus.mp4 b/core/hardware/worldcam-focus.mp4
similarity index 100%
rename from src/media/core/videos/worldcam-focus.mp4
rename to core/hardware/worldcam-focus.mp4
diff --git a/core/index.md b/core/index.md
new file mode 100644
index 000000000..52c562751
--- /dev/null
+++ b/core/index.md
@@ -0,0 +1,37 @@
+---
+# https://vitepress.dev/reference/default-theme-home-page
+layout: ProductPageLayout
+title: Home
+
+hero:
+  title: "Core"
+  tagline: Official docs for users getting started with their Pupil Labs eye tracking glasses and for developers working on eye tracking applications and integrations.
+  image: "/core/core-overview.webp"
+  actions:
+    - theme: brand
+      text: Getting Started
+      link: /getting-started/
+    - theme: alt
+      text: Pupil Cloud
+      link: /pupil-cloud/
+
+cards:
+  - title: Getting Started
+    details: Learn how to make your first recording with Pupil Core!
+    link: { text: View, href: "/core/getting-started/" }
+  - title: User Guide
+    details: Everything you need to know about the available software and hardware.
+    link: { text: View, href: "/core/software/pupil-capture/" }
+  - title: DIY
+    details: Instructions on building the non-commercial do-it-yourself headset.
+    link: { text: View, href: "/core/diy/" }
+  - title: Developer
+    details: Documentation on all the developer-oriented features of Pupil Core including the network and plugin API.
+    link: { text: View, href: "/core/developer/" }
+  - title: VR/AR
+    details: Instructions on how to use the VR/AR add-ons based on Pupil Core technology.
+    link: { text: View, href: "/core/vr-ar/" }
+  - title: Chat
+    details: Come chat with us on Discord! Do you have an issues or questions? Just wanna say hi? Join the chat and drop us a message!
+    link: { text: View, href: "https://pupil-labs.com/chat", target: "_blank" }
+---
diff --git a/core/package-lock.json b/core/package-lock.json
new file mode 100644
index 000000000..1789e2523
--- /dev/null
+++ b/core/package-lock.json
@@ -0,0 +1,2810 @@
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diff --git a/core/package.json b/core/package.json
new file mode 100644
index 000000000..de70b61a5
--- /dev/null
+++ b/core/package.json
@@ -0,0 +1,15 @@
+{
+  "devDependencies": {
+    "autoprefixer": "^10.4.16",
+    "postcss": "^8.4.31",
+    "pug": "^3.0.2",
+    "tailwindcss": "^3.3.5",
+    "vitepress": "^1.0.0-rc.24",
+    "vue-pug-plugin": "^2.0.3"
+  },
+  "scripts": {
+    "docs:dev": "vitepress dev",
+    "docs:build": "vitepress build",
+    "docs:preview": "vitepress preview"
+  }
+}
diff --git a/core/postcss.config.js b/core/postcss.config.js
new file mode 100644
index 000000000..12a703d90
--- /dev/null
+++ b/core/postcss.config.js
@@ -0,0 +1,6 @@
+module.exports = {
+  plugins: {
+    tailwindcss: {},
+    autoprefixer: {},
+  },
+};
diff --git a/core/public/core-overview.webp b/core/public/core-overview.webp
new file mode 100644
index 000000000..7226c4da0
Binary files /dev/null and b/core/public/core-overview.webp differ
diff --git a/src/media/shared/imgs/apriltags_tag36h11_0-23.jpg b/core/software/pupil-capture/apriltags_tag36h11_0-23.jpg
similarity index 100%
rename from src/media/shared/imgs/apriltags_tag36h11_0-23.jpg
rename to core/software/pupil-capture/apriltags_tag36h11_0-23.jpg
diff --git a/src/media/shared/imgs/apriltags_tag36h11_24-47.jpg b/core/software/pupil-capture/apriltags_tag36h11_24-47.jpg
similarity index 100%
rename from src/media/shared/imgs/apriltags_tag36h11_24-47.jpg
rename to core/software/pupil-capture/apriltags_tag36h11_24-47.jpg
diff --git a/src/media/core/imgs/capture-callout.jpg b/core/software/pupil-capture/capture-callout.jpg
similarity index 100%
rename from src/media/core/imgs/capture-callout.jpg
rename to core/software/pupil-capture/capture-callout.jpg
diff --git a/src/media/core/imgs/capture-plugin.jpg b/core/software/pupil-capture/capture-plugin.jpg
similarity index 100%
rename from src/media/core/imgs/capture-plugin.jpg
rename to core/software/pupil-capture/capture-plugin.jpg
diff --git a/core/software/pupil-capture/clb-hd.mp4 b/core/software/pupil-capture/clb-hd.mp4
new file mode 100644
index 000000000..517fef489
Binary files /dev/null and b/core/software/pupil-capture/clb-hd.mp4 differ
diff --git a/src/media/core/videos/clb-mobo.mp4 b/core/software/pupil-capture/clb-mobo.mp4
similarity index 100%
rename from src/media/core/videos/clb-mobo.mp4
rename to core/software/pupil-capture/clb-mobo.mp4
diff --git a/src/media/core/videos/clb-natural.mp4 b/core/software/pupil-capture/clb-natural.mp4
similarity index 100%
rename from src/media/core/videos/clb-natural.mp4
rename to core/software/pupil-capture/clb-natural.mp4
diff --git a/core/software/pupil-capture/clb-s.mp4 b/core/software/pupil-capture/clb-s.mp4
new file mode 100644
index 000000000..6be275385
Binary files /dev/null and b/core/software/pupil-capture/clb-s.mp4 differ
diff --git a/src/media/core/imgs/focus.jpg b/core/software/pupil-capture/focus.jpg
similarity index 100%
rename from src/media/core/imgs/focus.jpg
rename to core/software/pupil-capture/focus.jpg
diff --git a/src/core/software/pupil-capture.md b/core/software/pupil-capture/index.md
similarity index 85%
rename from src/core/software/pupil-capture.md
rename to core/software/pupil-capture/index.md
index e2703e79b..42da8d22d 100644
--- a/src/core/software/pupil-capture.md
+++ b/core/software/pupil-capture/index.md
@@ -1,21 +1,12 @@
----
-permalink: /core/software/pupil-capture
-description: Pupil Capture is the software used with your Pupil Core Headset. Using video streams to detect your pupil, track your gaze, and stream data in realtime.
----
-
 # Pupil Capture
 Pupil Capture is the software used with your Pupil Core Headset. The software reads the video streams coming in from the world camera and the eye camera(s). Pupil Capture uses the video streams to detect your pupil, track your gaze, detect and track markers in your environment, record video and events, and stream data in realtime.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/icons/pc.png')" style="display:flex;margin:0 auto;width:100px;"></v-img>
-</div>
+![Pupil Capture](./pc.png)
 
 ## World Window
 The World window is the main control center for Pupil Capture. It displays a live world camera video feed from your Pupil Core headset.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/capture-callout.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Pupil Captuere callout](./capture-callout.jpg)
 
 1. **Graphs**: This area contains performance graphs. By default the graphs `CPU`, `FPS`, and pupil algorithm detection confidence will be displayed. You can control graph settings with the System Graphs plugin.
 1. **Hot keys**: This area contains clickable buttons for plugins.
@@ -93,7 +84,9 @@ Pupil Core's algorithms automatically detect the participant's pupil. It runs tw
 
 3D detection uses a 3D model of the eye(s) that updates based on observations of the eye. This enables the system to compensate for movements of the Pupil Core eye tracking headset on the participant's face (also known slippage). To build up an initial model, we recommend to look around your field of view when putting on the headset.
 
-<Videos :src="require(`../../media/core/videos/pd.mp4`)" />
+<video width="100%" controls>
+  <source src="./pd.mp4" type="video/mp4">
+</video>
 
 ### Fine-tuning Pupil Detection
 As a first step it is recommended to check the eye camera resolution as some parameters are resolution dependent.
@@ -106,7 +99,6 @@ Some settings of the 2D pupil detector can be adjusted to improve pupil detectio
 * `Intensity Range` : Defines the minimum "darkness" of a pixel to be considered as the pupil. The pixels considered for pupil detection are visualized in blue when in `Algorithm Mode`. Try to minimize the range so that the pupil is always fully covered while having as little leakage as possible outside of the pupil. Be aware that this is dependent on the brightness and therefore has a strong interaction with `Video Source/Sensor Settings/Absolute Exposure Time`.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Keep in mind that pupil size values are defined in pixels and are therefore dependent on the resolution settings of your sensor.
 :::
 
@@ -116,11 +108,15 @@ Keep in mind that pupil size values are defined in pixels and are therefore depe
 
 Pupil Core headsets have two types of cameras attached. One camera records the subject's field of vision - we call this the `world camera`. Additionally there are one or more cameras recording the participant's eye movements - we call these the `eye cameras`. The data collected during the calibration period is used afterwards to correlate the world camera with the eye cameras.
 
-<Videos :src="require(`../../media/core/videos/clb-hd.mp4`)" />
+<video width="100%" controls>
+  <source src="./clb-hd.mp4" type="video/mp4">
+</video>
 
 Pupil Core headsets come in a variety of configurations. Calibration can be conducted with a monocular or binocular eye camera setup.>
 
-<Videos :src="require(`../../media/core/videos/clb-mobo.mp4`)" />
+<video width="100%" controls>
+  <source src="./clb-mobo.mp4" type="video/mp4">
+</video>
 
 <div style="display:flex;" class="pb-4">
     <p style="flex-grow:1;display:flex;justify-content:center;">Monocular</p>
@@ -133,14 +129,19 @@ Before starting a calibration, ensure that the participant's pupil is robustly d
 
 
 <div style="display:flex; flex-wrap: wrap;" class="pb-4">
-    <div style="flex-grow:1;display:flex;flex-direction:column;align-items:center;" class="pa-2">
-        <v-img :src="require('../../media/core/imgs/pupil-detect.jpg')" style="width:300px;height:300px;"></v-img>
-        <p>Your Pupil is properly detected by the camera.</p>
-    </div>
-    <div style="flex-grow:1;display:flex;flex-direction:column;align-items:center;" class="pa-2">
-        <v-img :src="require('../../media/core/imgs/focus.jpg')" style="width:300px;height:300px;"></v-img>
-        <p>Make sure the world camera is in focus.</p>
-    </div>
+<div style="flex-grow:1;display:flex;flex-direction:column;align-items:center;" class="pa-2">
+
+![Pupil Detection](./pupil-detect.jpg)
+
+<p>Your Pupil is properly detected by the camera.</p>
+</div>
+    
+<div style="flex-grow:1;display:flex;flex-direction:column;align-items:center;" class="pa-2">
+
+![Focus](focus.jpg)
+
+<p>Make sure the world camera is in focus.</p>
+</div>
 </div>
 
 ### Choreographies
@@ -150,7 +151,9 @@ All calibrations require a participant to look at a specific point in the real w
 #### Screen Marker Calibration Choreography
 This is the default choreography, and a quick way to get started.
 
-<Videos :src="require(`../../media/core/videos/clb-s.mp4`)" />
+<video width="100%" controls>
+  <source src="./clb-s.mp4" type="video/mp4">
+</video>
 
 1. Select the `Screen Marker` choreography
 2. Select your `Monitor` (if more than 1 monitor)
@@ -168,22 +171,25 @@ If you're not going to do calibration on screen with the `Screen Marker` choreog
 In most use cases you will only need to use the `Pupil Calibration Marker`. The `Stop Marker` is used if you want to be able to conclude a calibration sequence by showing this marker.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Make sure to always use the **v0.4 marker design** for best detection performance!
 :::
 
 <div style="display:flex; flex-wrap: wrap;" class="pb-4">
-    <div style="flex-grow:1;display:flex;flex-direction:column;align-items:center;" class="pa-2">
-        <v-img :src="require('../../media/core/imgs/v0.4_calib_marker_02.jpg')" style="width:300px;height:300px;"></v-img>
-        <p>Pupil Calibration Marker v0.4</p>
-    </div>
-    <div style="flex-grow:1;display:flex;flex-direction:column;align-items:center;" class="pa-2">
-        <v-img :src="require('../../media/core/imgs/v0.4_calib_marker_01.jpg')" style="width:300px;height:300px;"></v-img>
-        <p>Pupil Calibration Stop Marker v0.4</p>
-    </div>
+<div style="flex-grow:1;display:flex;flex-direction:column;align-items:center;" class="pa-2">
+
+![Calibration markers 1](./v0.4_calib_marker_01.jpg)
+
+<p>Pupil Calibration Marker v0.4</p>
 </div>
+<div style="flex-grow:1;display:flex;flex-direction:column;align-items:center;" class="pa-2">
 
-<a :href="$withBase('/pdfs/v0.4_marker.pdf')" alt="Pupil Labs calibration marker v4.0" target="_blank" rel="noopener">Download Pupil Labs Calibration Marker v0.4</a> to print or display on smartphone/tablet screen.
+![Calibration markers 2](./v0.4_calib_marker_02.jpg)
+
+<p>Pupil Calibration Stop Marker v0.4</p>
+</div>
+</div>
+
+[Download Pupil Labs Calibration Marker v0.4](http://docs.pupil-labs.com/core/software/pupil-capture/v0.4_marker.pdf') to print or display on smartphone/tablet screen.
 
 
 #### Single Marker Calibration Choreography
@@ -196,14 +202,15 @@ Calibrate using a single marker, either with a printed (physical) markers or a d
 5. Press the `C` button on your keyboard  or show the stop marker to stop calibrating.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 This paper introduces and evaluates this type of single marker calibration - <code>CalibMe: Fast and Unsupervised Eye Tracker Calibration for Gaze-Based Pervasive Human-Computer Interaction</code>
 :::
 
 #### Natural Features Calibration Choreography
 This choregraphy is used only in special situations.
 
-<Videos :src="require(`../../media/core/videos/clb-natural.mp4`)" />
+<video width="100%" controls>
+  <source src="./clb-natural.mp4" type="video/mp4">
+</video>
 
 
 1. Select `Natural Features Calibration`
@@ -231,7 +238,9 @@ between fixation locations and the corresponding locations of the fixation targe
 between successive samples during a fixation.
 
 ## Recording
-<Videos :src="require(`../../media/core/videos/rec.mp4`)" />
+<video width="100%" controls>
+  <source src="./rec.mp4" type="video/mp4">
+</video>
 
 Press `r` on your keyboard or press the circular `R` button on the left hand side of the world window to start recording. You will see red text with the elapsed time of recording next to the `R` button. To stop recording, press `r` on your keyboard or press the `R` button on screen.
 
@@ -242,14 +251,12 @@ Note - you must specify an existing folder, otherwise the `Path to recordings` w
 :::
 
 ### Recording files
-If you open up a recording session folder you will see a collection of video(s) and data files. Take a look at [Recording format](/core/software/recording-format) for an overview.
+If you open up a recording session folder you will see a collection of video(s) and data files. Take a look at [Recording format](/software/recording-format/)/ for an overview.
 
 ## Plugins
 Open the `Plugin Manager` menu on the right.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs//capture-plugin.jpg')" style="display:flex;margin:0 auto;width:100%;"></v-img>
-</div>
+![Pupil Capture Plugins](./capture-plugin.jpg)
 
 It lists all available plugins.
 Click the button next to the plugin's name to turn on or off the plugin.
@@ -262,7 +269,7 @@ within the `pupil_capture_settings` or `pupil_player_settings` folder.
 ### Fixation Detector
 The online fixation detector classifies fixations based on the dispersion-duration principle. A fixation is visualized as a yellow circle around the gaze point that is shown in the Pupil Capture `world` window.
 
-You can find more information in our [dedicated fixation detection section](/core/terminology/#fixations "Pupil Core terminology - fixations").
+You can find more information in our [dedicated fixation detection section](/terminology/#fixations "Pupil Core terminology - fixations").
 
 ### Network plugins
 Pupil Capture has a built-in data broadcast functionality. It is based on the network library [ZeroMQ](http://zeromq.org/)
@@ -273,12 +280,13 @@ with at least one subscription is transferred.
 #### Network API plugin
 The `Network API` plugin provides a high level interface to control Pupil Capture over the network (e.g. start/stop a recording). It also functions as the entry point to the broadcast infrastructure.
 
-<Videos :src="require(`../../media/core/videos/pr.mp4`)" />
+<video width="100%" controls>
+  <source src="./pr.mp4" type="video/mp4">
+</video>
 
 The section `Pupil Remote` allows you to specify the network interface. By default, Pupil will listen on the primary network interface. You can specify a custom port, or even choose a different interface.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 See the developer documentation on how to access Pupil Remote from your own application.
 :::
 
@@ -294,14 +302,12 @@ For a demonstration of how to receive and decode world frames, please take a loo
 * Furthermore, actions like starting and stopping a recording on one device will be mirrored instantly on all other devices.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 For this to work your network needs to allow `UDP` transport. If the nodes do not find each other, create a local wifi network and use that instead.
 :::
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Pupil Groups can easily be integrated in your own app or device.
-Take a look at <a href="/developer/core/network-api/#pupil-groups">the developer docs</a> to get started.
+Take a look at <a href="/developer/network-api/#pupil-groups">the developer docs</a> to get started.
 :::
 
 #### Pupil Time Sync
@@ -322,19 +328,16 @@ that each node has to implement the same protocol version to be able to talk to
 each other.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 See the <a href="https://github.com/pupil-labs/pupil-helpers/tree/62ea54001fd051528bf24537bbd4f5f89e3391e8/network_time_sync">pupil-helpers</a> for example Python implementations.
 :::
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 For this to work your network needs to allow `UDP` transport. If the nodes do not find each other, create a local wifi network and use that instead.
 :::
 
 #### Remote Recorder
 
 ::: warning
-<v-icon large color="warning">error_outline</v-icon>
 Depreciation warning: Pupil Mobile app is no longer maintained.
 :::
 
@@ -346,7 +349,6 @@ to start and stop recording on the Android device.
 The `Surface Tracker` plugin allows you to define planar surfaces within your environment to track areas of interest (AOI). Surfaces are defined with [Apriltag Markers](https://april.eecs.umich.edu/software/apriltag.html).
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 The legacy surface tracker used simple square markers, which are less robust to detect.
 For all new projects we strongly recommend using Apriltags.
 You can find more information on the legacy markers below.
@@ -359,7 +361,6 @@ Additionally, we created a PDF with one page per tag for all 587 tags from the *
 You can use this to print custom marker sheets by printing multiple pages per sheet.
 
 ::: warning
-<v-icon large color="warning">error_outline</v-icon>
 Note that the markers require a white border around them for robust detection. In our experience, this should be at least equal to the width of the smallest white square/rectangle shown in the Marker. Please ensure you include a sufficient border around when displaying markers on screen or printing the markers.
 :::
 
@@ -377,17 +378,18 @@ Supported Apriltag families:
 
 Apriltags ready to use:
 
-<div style="display:flex; flex-wrap: wrap;" class="pb-4">
-    <div style="flex-grow:1;display:flex;flex-direction:column;align-items:center;" class="pa-2">
-        <v-img :src="require('../../media/shared/imgs/apriltags_tag36h11_0-23.jpg')" style="padding-bottom:16px;width:60%;"></v-img>
-        <p>Apriltags tag36h11 0-23</p>
-    </div>
-    <div style="flex-grow:1;display:flex;flex-direction:column;align-items:center;" class="pa-2">
-        <v-img :src="require('../../media/shared/imgs/apriltags_tag36h11_24-47.jpg')" style="padding-bottom:16px;width:60%;"></v-img>
-        <p>Apriltags tag36h11 24-47</p>
-    </div>
-</div>
+<div class="pb-4" style="display:grid;grid-template-columns:1fr 1fr;gap:40px;">
+  <a download="apriltags_tag36h11_0-23.jpg" href="../../media/shared/imgs/apriltags_tag36h11_0-23.jpg" title="AprilTags 0-23">
+
+  ![Apriltags 0 - 23](./apriltags_tag36h11_0-23.jpg)
 
+  </a>
+  <a download="apriltags_tag36h11_24-47.jpg" href="../../../media/shared/imgs/apriltags_tag36h11_24-47.jpg" title="AprilTags 0-23">
+    
+  ![Apriltags 24 - 47](./apriltags_tag36h11_24-47.jpg)
+
+  </a>
+</div>
 
 Markers can be printed on paper, stickers, or displayed on a screen.
 
@@ -410,7 +412,9 @@ When placing your markers please follow the guidelines:
 Surfaces can be defined with Pupil Capture in real-time, or post-hoc with Pupil Player.
 In both cases the necessary steps are as follows:
 
-<Videos :src="require(`../../media/core/videos/srf-tracking.mp4`)" />
+<video width="100%" controls>
+  <source src="./srf-tracking.mp4" type="video/mp4">
+</video>
 
 *   Prepare your environment as described above.
 *   Turn on the `Surface Tracker` plugin .
@@ -458,26 +462,26 @@ For all new projects we strongly recommend using Apriltags!
 
 
 ### Blink Detector
-The online blink detector classifies [blinks](/core/terminology/#blinks) according to onset and offset thresholds 
-associated with [2D pupil confidence](/core/terminology/#confidence). See the 
-[Blink Detector documentation](/core/software/pupil-player/#blink-detector) for more information.
+The online blink detector classifies [blinks](/terminology/#blinks) according to onset and offset thresholds 
+associated with [2D pupil confidence](/terminology/#confidence). See the 
+[Blink Detector documentation](/software/pupil-player/#blink-detector) for more information.
 
-Read more about accessing blink detection results in real-time in the [developer documentation](/developer/core/network-api/#blink-messages).
+Read more about accessing blink detection results in real-time in the [developer documentation](/developer/network-api/#blink-messages).
 
 ### Annotations
 The `Annotation Capture` plugin allows you to mark timestamps with a label -- sometimes
 referred to as triggers. These labels can be created by pressing their respective hotkey
 or by sending a message with the topic `annotation`. This is useful to mark external
 events (e.g. "start of condition A") within the Pupil recording. The `Annotation Player`
-plugin is able to correlate and [export these events](/core/software/pupil-player/#annotation-export)
+plugin is able to correlate and [export these events](/software/pupil-player/#annotation-export)
 as well as add new ones.
 
-You can also create [remote annotation](/developer/core/network-api/#remote-annotations)
+You can also create [remote annotation](/developer/network-api/#remote-annotations)
 events programmatically and send them to Pupil Capture via the
-[Pupil Core Network API](/developer/core/network-api).
+[Pupil Core Network API](/developer/network-api/).
 
 ### Camera Intrinsics Estimation
-This plugin is used to calculate [camera intrinsics](/core/terminology/#camera-intrinsics), which will enable one to correct camera distortion. Pupil Capture has built in, default camera intrinsics models for the high speed world camera and the high resolution world camera. You can re-calibrate your camera and/or calibrate a camera that is not supplied by Pupil Labs by running this calibration routine. We support two different distortion models, radial distortion and fisheye distortion. For cameras with a FOV of 100 degrees or greater (like e.g. the high speed world camera) the fisheye distortion model usually performs better, for cameras with a smaller FOV (e.g. the high resolution world camera) we recommend the radial distortion model.
+This plugin is used to calculate [camera intrinsics](/terminology/#camera-intrinsics), which will enable one to correct camera distortion. Pupil Capture has built in, default camera intrinsics models for the high speed world camera and the high resolution world camera. You can re-calibrate your camera and/or calibrate a camera that is not supplied by Pupil Labs by running this calibration routine. We support two different distortion models, radial distortion and fisheye distortion. For cameras with a FOV of 100 degrees or greater (like e.g. the high speed world camera) the fisheye distortion model usually performs better, for cameras with a smaller FOV (e.g. the high resolution world camera) we recommend the radial distortion model.
 
 1. Select `Camera Intrinsics Estimation`
 2. Click on 'show pattern' to display the pattern
@@ -499,7 +503,7 @@ If you are having trouble estimating camera intrinsics, [Chat with us.](https://
 Newly estimated camera intrinsics are saved to the Pupil Capture session settings folder:
 - From bundle: `Home directory -> pupil_capture_settings`
 - From source: `repository directory -> capture_settings`
-Specifically, the intrinsics are saved to a file with the name pattern `<camera name>.intrinsics` which includes the relevant intrinsics for each calibrated resolution. See the [developer docs](/developer/core/recording-format/#other-files) on how to read these files manually.
+Specifically, the intrinsics are saved to a file with the name pattern `<camera name>.intrinsics` which includes the relevant intrinsics for each calibrated resolution. See the [developer docs](/developer/recording-format/#other-files) on how to read these files manually.
 
 Pupil Capture provides [prerecorded intrinsics](https://github.com/pupil-labs/pupil/blob/master/pupil_src/shared_modules/camera_models.py#L26-L152) for the following cameras:
 
diff --git a/core/software/pupil-capture/pc.png b/core/software/pupil-capture/pc.png
new file mode 100644
index 000000000..a0fcae528
Binary files /dev/null and b/core/software/pupil-capture/pc.png differ
diff --git a/src/media/core/videos/pd.mp4 b/core/software/pupil-capture/pd.mp4
similarity index 100%
rename from src/media/core/videos/pd.mp4
rename to core/software/pupil-capture/pd.mp4
diff --git a/src/media/core/videos/pr.mp4 b/core/software/pupil-capture/pr.mp4
similarity index 100%
rename from src/media/core/videos/pr.mp4
rename to core/software/pupil-capture/pr.mp4
diff --git a/src/media/core/imgs/pupil-detect.jpg b/core/software/pupil-capture/pupil-detect.jpg
similarity index 100%
rename from src/media/core/imgs/pupil-detect.jpg
rename to core/software/pupil-capture/pupil-detect.jpg
diff --git a/core/software/pupil-capture/rec.mp4 b/core/software/pupil-capture/rec.mp4
new file mode 100644
index 000000000..be123625c
Binary files /dev/null and b/core/software/pupil-capture/rec.mp4 differ
diff --git a/src/media/core/videos/srf-tracking.mp4 b/core/software/pupil-capture/srf-tracking.mp4
similarity index 100%
rename from src/media/core/videos/srf-tracking.mp4
rename to core/software/pupil-capture/srf-tracking.mp4
diff --git a/src/media/core/imgs/v0.4_calib_marker_01.jpg b/core/software/pupil-capture/v0.4_calib_marker_01.jpg
similarity index 100%
rename from src/media/core/imgs/v0.4_calib_marker_01.jpg
rename to core/software/pupil-capture/v0.4_calib_marker_01.jpg
diff --git a/src/media/core/imgs/v0.4_calib_marker_02.jpg b/core/software/pupil-capture/v0.4_calib_marker_02.jpg
similarity index 100%
rename from src/media/core/imgs/v0.4_calib_marker_02.jpg
rename to core/software/pupil-capture/v0.4_calib_marker_02.jpg
diff --git a/src/.vuepress/public/pdfs/v0.4_marker.pdf b/core/software/pupil-capture/v0.4_marker.pdf
similarity index 100%
rename from src/.vuepress/public/pdfs/v0.4_marker.pdf
rename to core/software/pupil-capture/v0.4_marker.pdf
diff --git a/src/media/core/imgs/export.jpg b/core/software/pupil-player/export.jpg
similarity index 100%
rename from src/media/core/imgs/export.jpg
rename to core/software/pupil-player/export.jpg
diff --git a/src/core/software/pupil-player.md b/core/software/pupil-player/index.md
similarity index 88%
rename from src/core/software/pupil-player.md
rename to core/software/pupil-player/index.md
index 69f966ef4..847c962e8 100644
--- a/src/core/software/pupil-player.md
+++ b/core/software/pupil-player/index.md
@@ -1,30 +1,19 @@
----
-permalink: /core/software/pupil-player
-description: Pupil Player desktop eye tracking visualization software. Use it to play back recordings made with Pupil Core and export data for further analysis.
----
-
 # Pupil Player
 Pupil Player is the second tool you will use after Pupil Capture. It is a media and data visualizer at its core. You will use it to look at Pupil Capture recordings. Visualize your data and export it.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/icons/pp.png')" style="display:flex;margin:0 auto;width:100px;"></v-img>
-</div>
+![Pupil Player Icon](./pp.png)
 
 ## Load a recording
 Drag the recording folder (the triple digit one) directly onto the app icon **or** launch the application and drag + drop the recording folder into the Pupil Player window.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/pp-start.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Drag and drop recording folder](./pp-start.jpg)
 
 Don't have a recording yet? [Download a sample recording](https://drive.google.com/file/d/1vzjZkjoi8kESw8lBnsa_k_8hXPf3fMMC/view?usp=sharing "Download sample recording to use in Pupil Player").
 
 ## Player Window
-The Player window is the main control center for `Pupil Player`. It displays video and data recorded by [Pupil Capture](/core/software/pupil-capture) or [Pupil Invisible](/invisible/).
+The Player window is the main control center for `Pupil Player`. It displays video and data recorded by [Pupil Capture](/software/pupil-capture/) or [Pupil Invisible](https://docs.pupil-labs.com/invisible/).
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/pp-callout.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Pupil Player Callout](./pp-callout.jpg)
 
 1. **Graphs**: This area contains performance graphs. The graphs display `CPU`, `FPS`, and pupil algorithm detection confidence.
 1. **Hot keys**: This area contains clickable buttons for plugins.
@@ -67,7 +56,6 @@ Here is an example workflow:
 - Check out exported data in the `exports` directory within your recording directory
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Pupil Player will <strong>never</strong> remove or overwrite any of your raw data gathered during capture. All exports are isolated within a sub-directory named <code>exports</code>. Exports will never be overwritten.
 :::
 
@@ -89,9 +77,7 @@ We will call plugins with the `Vis` prefix **visualization** plugins. These plug
 #### Vis Circle
 Visualize the gaze positions with a circle for each gaze position. This plugin is **not unique**, therefore you can add multiple instances of the plugin to build your visualization.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/vis-circle.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Circle Visualizations](./vis-circle.jpg)
 
 You can set the following parameters:
 
@@ -105,9 +91,7 @@ Here we show an example of how you could use **2** instances of the `Vis Circle`
 #### Vis Cross
 Visualize the gaze positions with a cross for each gaze position. This plugin is **not unique**, therefore you can add multiple instances of the plugin to build your visualization. You can set the following parameters:
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/vis-cross.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Cross Visualizations](./vis-cross.jpg)
 
   + `inner offset length` - the distance in pixels to offset the interior cross endpoints from the gaze position. A value of `0` will make the crosshairs intersect the gaze position.
   + `outer length` - The length of the cross lines in pixels from the gaze position. Note - equal values of `inner offset length` and `outer length` will result in a cross with no length, and therefore not rendered.
@@ -119,9 +103,7 @@ Here we show an example of how you could use **2** instances of the `Vis Cross`
 #### Vis Polyline
 Visualize the gaze positions with a polyline for each gaze position.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/vis-polyline.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Polyline Visualizations](./vis-polyline.jpg)
 
 This plugin is **not unique**, therefore you can add multiple instances of the plugin to build your visualization. You can set the following parameters:
 
@@ -133,9 +115,7 @@ An example showing `Vis Polyline` used with `Vis Circle`. The polyline enables o
 #### Vis Light Points
 Visualize the gaze positions as a point of light for each gaze position. The `falloff` of the light from the gaze position is specified by the user.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/vis-lightpoints.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Lightpoints Visualizations](./vis-lightpoints.jpg)
 
 This plugin is **not unique**, therefore you can add multiple instances of the plugin to build your visualization. You can set the following parameters:
 
@@ -146,9 +126,7 @@ Here is an example demonstrating `Vis Light Points` with a falloff of 73.
 #### Vis Eye Video Overlay
 Here is an example of the `Eye Video Overlay` with binocular eye videos.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/vis-eyeoverlay.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Eye overlay Visualizations](./vis-eyeoverlay.jpg)
 
 This plugin can be used to overlay the eye video on top of the world video. Note that the eye video is not recorded by default in Pupil Capture so if you want to use this plugin, make sure to check `record eye video` in Pupil Capture.
 
@@ -165,12 +143,10 @@ This plugin is **unique**, therefore you can only load one instance of this plug
 These plugins are simple unique plugins, that operate on the gaze data for analysis and visualizations.
 
 #### Surface Tracker
-This plugin is a post-hoc version of the [Surface Tracking](/core/software/pupil-capture/#surface-tracking) plugin for Pupil Capture.
+This plugin is a post-hoc version of the [Surface Tracking](/software/pupil-capture/#surface-tracking) plugin for Pupil Capture.
 You can use this plugin to detect markers in the recording, define surfaces, edit surfaces, and create and export visualizations of gaze data within the defined surfaces.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/offline-srf-tracker.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Offline surface tracker](./offline-srf-tracker.jpg)
 
 Here is an example workflow for using the `Surface Tracker` plugin to generate heatmap visualizations and export surface data reports:
 
@@ -209,20 +185,18 @@ Additionally, the `Surface Tracker` exports the detected markers to the `marker_
 #### Fixation Detector
 The post-hoc fixation detector calculates fixations for the whole recording. The menu gives feedback about the progress of the detection, how many fixations were found, and shows detailed information about the current fixation. Press `f` or click the `f` hot key button on the left hand side of the window to seek forward to the next fixation.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/pg-fixation.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Fixations](./pg-fixation.jpg)
 
 Toggle `Show fixations` to show a visualization of fixations. The blue number is the number of the fixation (0 being the first fixation). You can export fixation reports for your current trim section by pressing `e` on your keyboard or the `e` hot key button on the left hand side of the window.
 
-You can find more information in our [dedicated fixation detection section](/core/terminology/#fixations "Pupil Core terminology - fixations").
+You can find more information in our [dedicated fixation detection section](/terminology/#fixations "Pupil Core terminology - fixations").
 
 #### Blink Detector
-Pupil Core's Blink Detector leverages the fact that [2D pupil confidence](/core/terminology/#confidence) drops rapidly 
-in both eyes during a [blink](/core/terminology/#blinks) as the pupil becomes obscured by the eyelid, followed by a rapid 
+Pupil Core's Blink Detector leverages the fact that [2D pupil confidence](/terminology/#confidence) drops rapidly 
+in both eyes during a [blink](/terminology/#blinks) as the pupil becomes obscured by the eyelid, followed by a rapid 
 rise in confidence as the pupil becomes visible again.
 
-The Blink Detector processes [2D pupil confidence](/core/terminology/#confidence) values by convolving them with a 
+The Blink Detector processes [2D pupil confidence](/terminology/#confidence) values by convolving them with a 
 [filter](https://github.com/pupil-labs/pupil/blob/eb8c2324f3fd558858ce33f3816972d93e02fcc6/pupil_src/shared_modules/blink_detection.py#L360). 
 The filter response – called 'activity' – spikes the sharper the confidence drop is and *vice versa* for confidence 
 increases. 
@@ -239,13 +213,10 @@ In Pupil Player, the green data series labelled 'Activity' is the filter respons
 onset and offset confidence are above and below this, respectively. The blink detection result is shown by the red 
 line, characterised by a step function where blinks have been classified.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/pp-blinks.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Blinks](./pp-blinks.jpg)
 
 :::tip
-<v-icon large color="info">info_outline</v-icon>
-See our [Best Practices](/core/best-practices/#blink-detector-thresholds) for tips on choosing 
+See our [Best Practices](/best-practices/#blink-detector-thresholds) for tips on choosing 
 appropriate Blink Detector thresholds
 :::
 
@@ -264,7 +235,6 @@ Results are exported in `blinks.csv` with the following columns:
 | `base_data`         | Timestamps of data associated with blink                   |
 
 :::tip
-<v-icon large color="info">info_outline</v-icon>
 Blink count is included in the `blink_detection_report.csv`
 :::
 
@@ -279,7 +249,7 @@ The markers used must be unique and of the same size. You may not use multiple i
 
 <Youtube src="9x9h98tywFI"/>
 
-See the [surface tracking section](/core/software/pupil-capture/#surface-tracking) for images of the markers to download.
+See the [surface tracking section](/software/pupil-capture/#surface-tracking) for images of the markers to download.
 
 Head pose tracking works best in a well lit environment with an even distribution of light, so that the tracking markers 
 are clearly visible. Try to avoid situations where the world-camera faces into bright light, such as sunlight entering 
@@ -321,9 +291,7 @@ using the right-hand convention, where:
 The correct position of the origin marker is vertical relative to the earth (e.g. on a computer monitor) pointing 
 upwards: 
 
-<div class="pb-1">
-  <v-img :src="require('../../media/core/imgs/pp-hp-marker.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Head Pose](./pp-hp-marker.jpg)
 
 :::tip
 Euler angles are an intuitive representation of rotation. However, they can be subject to the effects of 
@@ -335,9 +303,7 @@ Euler angles are an intuitive representation of rotation. However, they can be s
 This plugin visualizes accelerometer and gyroscope data from Pupil Invisible recordings. It also fuses the 
 data using [Madgwick's algorithm](https://github.com/xioTechnologies/Fusion) to yield drift-free orientation estimates in the pitch and roll axes.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/pp-imu.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![IMU](./pp-imu.jpg)
 
 Why fuse the data? Numerical integration of angular rate is subject to position errors that grow with time. Accurate 
 estimates of orientation therefore require drift correction. Madgwick's algorithm removes orientation drift in the pitch
@@ -369,7 +335,7 @@ Read more about [Pupil Invisible's coordinate systems here](/developer/invisible
 This Plugin does not estimate orientation about the yaw axis (head rotation from left to right). This is 
 because the IMU has no magnetometer to monitor heading. The Plugin therefore implements a version of Madgwick's algorithm that only estimates Pitch and Roll.
 
-Note that this Plugin [will not be loaded](/core/software/pupil-player/#product-specific-plugins) with Pupil Core recordings.
+Note that this Plugin [will not be loaded](/software/pupil-player/#product-specific-plugins) with Pupil Core recordings.
 
 ### Pupil Data And Post-hoc Detection
 By default, Player starts with the `Pupil Data From Recording` plugin that tries to load pupil positions that were detected and stored during a Pupil Capture recording.
@@ -409,7 +375,7 @@ The workflow is separated into three steps, each with its own submenu: Reference
 Reference locations are points within the recorded world video that are known to have been fixated on by the participant/subject.
 They can either be automatically detected or manually annotated:
 
-1. `Detect Circle Markers in Recording`: This button starts the automatic detection of [circular calibration markers](/core/software/pupil-capture/#calibration-marker "Pupil circular calibration marker documentation") within the world video. The progress is visualized in the plugin's timeline.
+1. `Detect Circle Markers in Recording`: This button starts the automatic detection of [circular calibration markers](/software/pupil-capture/#calibration-marker "Pupil circular calibration marker documentation") within the world video. The progress is visualized in the plugin's timeline.
 2. `Manual Edit Mode`: When this option is enabled, you can add new locations as well as correct and delete existing ones. There can only be one location per world frame.
 
 As in Capture, one can have more than one calibration per recording.
@@ -431,21 +397,19 @@ Each gaze mapper has the following properties:
 - `Calibration`: One of the previously created or imported calibrations (see screencast)
 - `Mapping Range`: Time range in which pupil data will be mapped to gaze data.
 - `Manual Correction`: Apply a fixed offset to your gaze mapping.
-- `Validation`: You can validate the accuracy and precision of the mapped gaze by comparing it to reference locations in the selected `Validation Range`. It uses the same methodology as the [`Accuracy Visualizer`](/core/software/pupil-capture/#notes-on-calibration-accuracy "Notes on calibration accuracy").
+- `Validation`: You can validate the accuracy and precision of the mapped gaze by comparing it to reference locations in the selected `Validation Range`. It uses the same methodology as the [`Accuracy Visualizer`](/software/pupil-capture/#notes-on-calibration-accuracy "Notes on calibration accuracy").
 
 ::: warning
-<v-icon large color="warning">error_outline</v-icon>
 Overlapping mapping ranges result in multiple gaze points per gaze datum.
 This can be temporarily disabled by turning off the according gaze mapper's `Activate Gaze` option.
 :::
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 You can compare `2d` and `3d` mapping results by creating two calibrations and gaze mappers with the same calibration and mapping ranges.
 :::
 
 ### Developing your own Plugin
-To develop your own plugin see the [developer guide](/developer/core/overview "Pupil Core developer documentation").
+To develop your own plugin see the [developer guide](/developer/ "Pupil Core developer documentation").
 
 ### Product-specific plugins
 Some plugins in Pupil Player _only_ load if they are able to be used with the product that created the recordings.
@@ -476,7 +440,7 @@ All open plugins that have export capability will export when you press `e`.
 Exports are separated from your raw data and contained in the `exports` sub-directory.
 The exports directory lives within your recording directory.
 
-Active video exporters will run in the background and you can see the progress bar of the export in the GUI. While exporting, you can continue working with Pupil Player and even launch new exports. Each video export creates at least one `mp4` and its respective file timestamp file. See the [Data Format](/developer/core/recording-format/ "Pupil Core recording format") section for details.
+Active video exporters will run in the background and you can see the progress bar of the export in the GUI. While exporting, you can continue working with Pupil Player and even launch new exports. Each video export creates at least one `mp4` and its respective file timestamp file. See the [Data Format](/developer/recording-format/ "Pupil Core recording format") section for details.
 
 ### Export Directory
 Every export creates a new folder within the `exports` sub-directory of your recording. All data from the export is saved to this folder.
@@ -492,16 +456,14 @@ Completed tasks are kept in the list for reference.
 ### World Video Exporter
 The `World Video Exporter` is loaded by default.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/export.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Export](./export.jpg)
 
 The export saves the world video as shown in Player, including all currently active visualizations (see  [Visualization Plugins](#visualization-plugins "Pupil Player visualization plugins documentation")). 
 
 General overview for exported video files:
 
 The World and Eye video exporter saves the scene video file, together with [numpy](https://numpy.org/devdocs/reference/generated/numpy.lib.format.html) and csv files containing timestamps corresponding to each frame. 
-The timestamps follow the [Pupil Time](/core/terminology/#timestamps) convention. The csv timestamp files include an additional `pts` column. `pts` is an abbreviation for _presentation timestamps_ and refers to the media file's internal time representation. It can be used to seek or identify specific frames within the media file. See this [tutorial on how to extract individual frame images from the world video](https://github.com/pupil-labs/pupil-tutorials/blob/master/09_frame_identification.ipynb). 
+The timestamps follow the [Pupil Time](/terminology/#timestamps) convention. The csv timestamp files include an additional `pts` column. `pts` is an abbreviation for _presentation timestamps_ and refers to the media file's internal time representation. It can be used to seek or identify specific frames within the media file. See this [tutorial on how to extract individual frame images from the world video](https://github.com/pupil-labs/pupil-tutorials/blob/master/09_frame_identification.ipynb). 
 
 
 ### Eye Video Exporter
@@ -516,9 +478,7 @@ Specifically, it undistorts the world video images using the camera intrinsics.
 ### Raw Data Exporter
 The `Raw Data Exporter` exports pupil and gaze data to `.csv` files and is active by default.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/raw-export.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Raw export](./raw-export.jpg)
 
 #### pupil_positions.csv
 * `pupil_timestamp` - timestamp of the source image frame
@@ -594,9 +554,7 @@ This plugin loads any annotations generated during the recording, as well as all
 effect. With the Pupil Player interface, you can assign hotkeys to your annotations to ensure efficient labelling 
 of important events in your recordings.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/pp-annotation.jpg')" style="display:flex;margin:0 auto;"></v-img>
-</div>
+![Annotations](./pp-annotation.jpg)
 
 On export, the annotation plugin writes the annotation data to `annotations.csv`. It includes at least the
 following keys:
@@ -606,7 +564,6 @@ following keys:
 - `duration`: Duration of the annotation
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 Any custom field encountered in the annotations will be exported as an additional column.
 Their values will be converted to strings using Python's string representation. Therefore,
 it is recommended to use primitive types (strings, integers, floats) as value types for
diff --git a/src/media/core/imgs/offline-srf-tracker.jpg b/core/software/pupil-player/offline-srf-tracker.jpg
similarity index 100%
rename from src/media/core/imgs/offline-srf-tracker.jpg
rename to core/software/pupil-player/offline-srf-tracker.jpg
diff --git a/src/media/core/imgs/pg-fixation.jpg b/core/software/pupil-player/pg-fixation.jpg
similarity index 100%
rename from src/media/core/imgs/pg-fixation.jpg
rename to core/software/pupil-player/pg-fixation.jpg
diff --git a/src/media/core/imgs/pp-annotation.jpg b/core/software/pupil-player/pp-annotation.jpg
similarity index 100%
rename from src/media/core/imgs/pp-annotation.jpg
rename to core/software/pupil-player/pp-annotation.jpg
diff --git a/src/media/core/imgs/pp-blinks.jpg b/core/software/pupil-player/pp-blinks.jpg
similarity index 100%
rename from src/media/core/imgs/pp-blinks.jpg
rename to core/software/pupil-player/pp-blinks.jpg
diff --git a/src/media/core/imgs/pp-callout.jpg b/core/software/pupil-player/pp-callout.jpg
similarity index 100%
rename from src/media/core/imgs/pp-callout.jpg
rename to core/software/pupil-player/pp-callout.jpg
diff --git a/src/media/core/imgs/pp-hp-marker.jpg b/core/software/pupil-player/pp-hp-marker.jpg
similarity index 100%
rename from src/media/core/imgs/pp-hp-marker.jpg
rename to core/software/pupil-player/pp-hp-marker.jpg
diff --git a/src/media/core/imgs/pp-imu.jpg b/core/software/pupil-player/pp-imu.jpg
similarity index 100%
rename from src/media/core/imgs/pp-imu.jpg
rename to core/software/pupil-player/pp-imu.jpg
diff --git a/src/media/core/imgs/pp-start.jpg b/core/software/pupil-player/pp-start.jpg
similarity index 100%
rename from src/media/core/imgs/pp-start.jpg
rename to core/software/pupil-player/pp-start.jpg
diff --git a/core/software/pupil-player/pp.png b/core/software/pupil-player/pp.png
new file mode 100644
index 000000000..688dd953c
Binary files /dev/null and b/core/software/pupil-player/pp.png differ
diff --git a/src/media/core/imgs/raw-export.jpg b/core/software/pupil-player/raw-export.jpg
similarity index 100%
rename from src/media/core/imgs/raw-export.jpg
rename to core/software/pupil-player/raw-export.jpg
diff --git a/src/media/core/imgs/vis-circle.jpg b/core/software/pupil-player/vis-circle.jpg
similarity index 100%
rename from src/media/core/imgs/vis-circle.jpg
rename to core/software/pupil-player/vis-circle.jpg
diff --git a/src/media/core/imgs/vis-cross.jpg b/core/software/pupil-player/vis-cross.jpg
similarity index 100%
rename from src/media/core/imgs/vis-cross.jpg
rename to core/software/pupil-player/vis-cross.jpg
diff --git a/src/media/core/imgs/vis-eyeoverlay.jpg b/core/software/pupil-player/vis-eyeoverlay.jpg
similarity index 100%
rename from src/media/core/imgs/vis-eyeoverlay.jpg
rename to core/software/pupil-player/vis-eyeoverlay.jpg
diff --git a/src/media/core/imgs/vis-lightpoints.jpg b/core/software/pupil-player/vis-lightpoints.jpg
similarity index 100%
rename from src/media/core/imgs/vis-lightpoints.jpg
rename to core/software/pupil-player/vis-lightpoints.jpg
diff --git a/src/media/core/imgs/vis-polyline.jpg b/core/software/pupil-player/vis-polyline.jpg
similarity index 100%
rename from src/media/core/imgs/vis-polyline.jpg
rename to core/software/pupil-player/vis-polyline.jpg
diff --git a/src/media/core/imgs/vis-scanpath.jpg b/core/software/pupil-player/vis-scanpath.jpg
similarity index 100%
rename from src/media/core/imgs/vis-scanpath.jpg
rename to core/software/pupil-player/vis-scanpath.jpg
diff --git a/src/core/software/pupil-service.md b/core/software/pupil-service/index.md
similarity index 58%
rename from src/core/software/pupil-service.md
rename to core/software/pupil-service/index.md
index 36f8ae7ae..b21621191 100644
--- a/src/core/software/pupil-service.md
+++ b/core/software/pupil-service/index.md
@@ -1,38 +1,28 @@
----
-permalink: /core/software/pupil-service
-description: Pupil Service is a GUI-less real-time eye tracking software used primarily with Pupil Labs VR/AR eye tracking add-ons. 
----
-
 # Pupil Service
 Pupil Service is like Pupil Capture except it does not have a world video feed, and comes with a slimmed down GUI. 
 It is intended to be used with VR and AR eye tracking setups.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/icons/ps.png')" style="display:flex;margin:0 auto;width:100px;"></v-img>
-</div>
+![Pupil Service Icon](./ps.png)
 
 :::tip
-<v-icon large color="info">info_outline</v-icon>
 The tools introduced in the [hmd-eyes project](https://github.com/pupil-labs/hmd-eyes) are made to work with Pupil Service and Pupil Capture alike.
 :::
 
 ## Service Features
-With the Pupil Service GUI you can define a [Pupil Remote Address](/developer/core/network-api/#pupil-remote)
+With the Pupil Service GUI you can define a [Pupil Remote Address](/developer/network-api/#pupil-remote)
 and toggle to open and close the left and right eye windows.
 
-<div class="pb-4">
-  <v-img :src="require('../../media/core/imgs/ps-gui.jpg')" style="display:flex;margin:0 auto;width:400px"></v-img>
-</div>
+![Pupil service GUI](./ps-gui.jpg)
 
 Note that the eye windows opened by Pupil Service are equivalent to those of Pupil Capture, giving you access to all
-associated [pupil detection settings](/core/software/pupil-capture/#fine-tuning-pupil-detection).
+associated [pupil detection settings](/software/pupil-capture/#fine-tuning-pupil-detection).
 
 A powerful feature of Pupil Service is low latency gaze mapping – Pupil Service maps gaze as soon as a new pupil datum 
 is available. Pupil Capture, on the other hand, queues incoming pupil data until the scene camera returns a new frame. Afterward, the queued pupil data is mapped in bulk. 
 
 Pupil Service also uses less system resources. 
 
-Check out the [Network API documentation](/developer/core/network-api/#communicating-with-pupil-service) for examples of 
+Check out the [Network API documentation](/developer/network-api/#communicating-with-pupil-service) for examples of 
 communicating with Pupil Service!
 
 ## Clients
diff --git a/src/media/core/imgs/ps-gui.jpg b/core/software/pupil-service/ps-gui.jpg
similarity index 100%
rename from src/media/core/imgs/ps-gui.jpg
rename to core/software/pupil-service/ps-gui.jpg
diff --git a/src/media/core/icons/ps.png b/core/software/pupil-service/ps.png
similarity index 100%
rename from src/media/core/icons/ps.png
rename to core/software/pupil-service/ps.png
diff --git a/src/core/software/recording-format.md b/core/software/recording-format/index.md
similarity index 100%
rename from src/core/software/recording-format.md
rename to core/software/recording-format/index.md
diff --git a/core/tailwind.config.js b/core/tailwind.config.js
new file mode 100644
index 000000000..83ba8604b
--- /dev/null
+++ b/core/tailwind.config.js
@@ -0,0 +1,17 @@
+/** @type {import('tailwindcss').Config} */
+module.exports = {
+  content: [
+    "./**/*.md",
+    "./.vitepress/theme/**/*.{vue,js,ts}",
+    "../components/**/*.vue",
+  ],
+  theme: {
+    extend: {
+      screens: {
+        lg: "960px",
+        "2xl": "1440px",
+      },
+    },
+  },
+  plugins: [],
+};
diff --git a/src/core/terminology.md b/core/terminology/index.md
similarity index 89%
rename from src/core/terminology.md
rename to core/terminology/index.md
index 656d4a0c2..e4ee2b9fe 100644
--- a/src/core/terminology.md
+++ b/core/terminology/index.md
@@ -34,13 +34,13 @@ within the _eye coordinate system_.
 - **Pupil Detection**: Process of detecting the pupil within the _eye camera_ video stream.
 - **2d Pupil Detection**: Attempts to find a 2d ellipse that fits the pupil within a given _eye_ image.
     [Reference paper](https://arxiv.org/pdf/1405.0006.pdf).
-- **3d Pupil Detection**: Pupil Core uses [`pye3d`](/developer/core/pye3d/) for 3d pupil detection.
+- **3d Pupil Detection**: Pupil Core uses [`pye3d`](/developer/pye3d/) for 3d pupil detection.
     It implements a published mathematical 3D eye model capturing ocular kinematics and
     optics (see [Swirski and Dodgson, 2013](https://www.researchgate.net/publication/264658852_A_fully-automatic_temporal_approach_to_single_camera_glint-free_3D_eye_model_fitting "L. Świrski and N. A. Dodgson. A Fully-Automatic, Temporal Approach to Single Camera, Glint-Free 3D Eye Model Fitting. In Proceedings of ECEM 2013."),
     as well as [Dierkes, Kassner, and Bulling, 2019](https://www.researchgate.net/publication/333490770_A_fast_approach_to_refraction-aware_eye-model_fitting_and_gaze_prediction "K. Dierkes, M. Kassner, A. Bulling. A fast approach to refraction-aware eye-model fitting and gaze prediction. In ETRA ’19: Symposium on Eye Tracking Research and Applications, 2019.")).
     More specifically, frame-by-frame measurements of gaze direction and pupil size rely
     on eyeball-position estimates in the 3D coordinate system defined by the recording
-    eye camera. [Read more about it here](/developer/core/pye3d).
+    eye camera. [Read more about it here](/developer/pye3d/).
 
 ## Gaze Positions
 Alternatively: _Gaze Data_. Output of the _gaze estimation_. Location of the subject's
@@ -62,7 +62,7 @@ _Gaze data_ inherits the _confidence_ value from the _pupil data_ it was based o
 Blinking is defined as a rapid closing and re-opening of the eyelids. Characteristics associated with blinks, like blink 
 rate, can provide insights into factors such as cognitive workload and stress. As such, blinking is of increasing interest 
 to researchers. Pupil Core implements a blink detector that provides blink classification both in 
-[real-time](/core/software/pupil-capture/#blink-detector) and [post-hoc](/core/software/pupil-player/#blink-detector) contexts.
+[real-time](/software/pupil-capture/#blink-detector) and [post-hoc](/software/pupil-player/#blink-detector) contexts.
 
 ## Calibration
 
@@ -103,9 +103,8 @@ relation to a fixed starting point (referred to as an epoch – the point where
 * **Pupil Time** uses an arbitrary epoch. It counts forward from a random point in time (timestamps can be negative).
   
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 You can convert Pupil Time to System Time with some simple calculations. [Check 
-out this tutorial](/developer/core/overview/#convert-pupil-time-to-system-time).
+out this tutorial](/developer/#convert-pupil-time-to-system-time).
 :::
 
 ## Coordinate System
@@ -137,7 +136,6 @@ There are three coordinate systems for each camera:
     - [Reference](https://docs.opencv.org/2.4/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.html)
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 You can use the [_Camera Intrinsics_](#camera-intrinsics) to project a _3d camera
 location_ to _2d pixel location_, and vice versa.
 :::
@@ -154,19 +152,18 @@ location_ to _2d pixel location_, and vice versa.
         - looking left:
             - increasing `x` vector component; increasing `phi`
         - see the cartesian to spherical coordinate calculation in our [source code](https://github.com/pupil-labs/pupil/blob/eb8c2324f3fd558858ce33f3816972d93e02fcc6/pupil_src/shared_modules/pupil_detector_plugins/visualizer_pye3d/utilities.py#L14)
-        - an overview of eye model data is in the 'Raw Data Exporter' [documentation](/core/software/pupil-player/#raw-data-exporter)
+        - an overview of eye model data is in the 'Raw Data Exporter' [documentation](/software/pupil-player/#raw-data-exporter)
     - note that eye model values are reported in opposite directions for the right eye
         (eye0) as the right eye camera is physically upside down
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 In situations where the eye model fails to estimate `phi` or `theta`, such as during
 blinks, it will set these two fields and the `model_confidence` to `0.0`. We recommend
 discarding these data points.
 :::
 ### Surface (AOI) Coordinate System
 
-[Surfaces](/core/software/pupil-capture/#surface-tracking) - also known as areas of interest or AOIs - define their own local coordinate system. For each scene image that includes sufficient surface markers, the `Surface Tracker` plugin calculates the respective _transformation_ function between the scene camera and surface coordinate system. The surface preview (red rectangle overlay) uses its inner triangle to indicate `up`/`top` within the local surface coordinate system. Pupil Capture and Player automatically map gaze and fixation data to surface coordinates if a valid surface transformation is available.
+[Surfaces](/software/pupil-capture/#surface-tracking) - also known as areas of interest or AOIs - define their own local coordinate system. For each scene image that includes sufficient surface markers, the `Surface Tracker` plugin calculates the respective _transformation_ function between the scene camera and surface coordinate system. The surface preview (red rectangle overlay) uses its inner triangle to indicate `up`/`top` within the local surface coordinate system. Pupil Capture and Player automatically map gaze and fixation data to surface coordinates if a valid surface transformation is available.
 
 The **surface-normalized** coordinates of mapped gaze/fixations have the following properties:
 - origin: bottom left (pay attention to red triangle indicating surface `up`/`top` side)
@@ -184,7 +181,7 @@ The _camera intrinsics_ contain [camera matrix and lens distortion information](
 They are used in _3d gaze mapping_ to correctly transform _3d pupil data_ to _3d gaze data_.
 
 Pupil Core software provides default camera intrinsics for all official Pupil Core
-cameras. It is also possible to run [Camera Intrinsics Estimation](/core/software/pupil-capture/#camera-intrinsics-estimation)
+cameras. It is also possible to run [Camera Intrinsics Estimation](/software/pupil-capture/#camera-intrinsics-estimation)
 for your Pupil Core _world_ camera after receiving it. Each camera is slightly different
 and running the estimation locally can result in slightly more precise gaze mapping.
 
diff --git a/core/tsconfig.json b/core/tsconfig.json
new file mode 100644
index 000000000..f010d41a6
--- /dev/null
+++ b/core/tsconfig.json
@@ -0,0 +1,34 @@
+{
+  "compilerOptions": {
+    "baseUrl": ".",
+    "module": "esnext",
+    "target": "esnext",
+    "moduleResolution": "node",
+    "esModuleInterop": true,
+    "strict": true,
+    "skipLibCheck": true,
+    "noUnusedLocals": true,
+    "resolveJsonModule": true,
+    "verbatimModuleSyntax": true,
+    "jsx": "preserve",
+    "lib": ["esnext", "dom", "dom.iterable"],
+    "isolatedModules": true,
+    "noImplicitThis": true,
+    "allowImportingTsExtensions": true,
+    "allowJs": true,
+    "paths": {
+      "@/*": ["../*"],
+      "@components/*": ["../components/*"],
+      "@theme/*": ["./.vitepress/theme/*"]
+    }
+  },
+  "include": [
+    "../components/*.vue",
+    "./.vitepress/**/*.vue",
+    "./.vitepress/**/*.ts",
+    "./.vitepress/**/*.mts",
+    "./.vitepress/**/*.css"
+  ],
+  "exclude": ["**/node_modules/**", "**/dist/**", "template"],
+  "compileOnSave": true
+}
diff --git a/src/vr-ar/developer.md b/core/vr-ar/developer/index.md
similarity index 85%
rename from src/vr-ar/developer.md
rename to core/vr-ar/developer/index.md
index 5e9ea19c2..dcf14c4ba 100644
--- a/src/vr-ar/developer.md
+++ b/core/vr-ar/developer/index.md
@@ -1,7 +1,3 @@
----
-description: Welcome to Pupil Labs VR/AR developer docs!
----
-
 # Developer
 
 Welcome to Pupil Labs VR/AR developer docs!
diff --git a/src/media/vr-ar/imgs/hololens_w120_e200b.png b/core/vr-ar/hololens/hololens_w120_e200b.png
similarity index 100%
rename from src/media/vr-ar/imgs/hololens_w120_e200b.png
rename to core/vr-ar/hololens/hololens_w120_e200b.png
diff --git a/src/vr-ar/hololens.md b/core/vr-ar/hololens/index.md
similarity index 51%
rename from src/vr-ar/hololens.md
rename to core/vr-ar/hololens/index.md
index 89a60982b..8bee5ad0b 100644
--- a/src/vr-ar/hololens.md
+++ b/core/vr-ar/hololens/index.md
@@ -1,12 +1,7 @@
----
-permalink: /vr-ar/hololens
-description: Add eye tracking powers to your HoloLens with our 200hz eye tracking add-ons.
----
-
 # HoloLens Add-On
 Add eye tracking powers to your HoloLens with our 200hz eye tracking add-ons. Follow the instructions in the video to install your add-on.
 
-<v-img :src="require('../media/vr-ar/imgs/hololens_w120_e200b.png')"></v-img>
+![HoloLens Add-On](./hololens_w120_e200b.png)
 
 ## Install the HoloLens add-on
 
diff --git a/src/vr-ar/README.md b/core/vr-ar/index.md
similarity index 52%
rename from src/vr-ar/README.md
rename to core/vr-ar/index.md
index 29c9708b6..1d15c772e 100644
--- a/src/vr-ar/README.md
+++ b/core/vr-ar/index.md
@@ -1,10 +1,6 @@
----
-description: Pupil Labs makes add-ons virtual and mixed reality headsets. We currently make add-ons for HTC Vive, Hololens and Oculus Rift.
----
-
 # Introduction
 Pupil Labs makes add-ons virtual and mixed reality headsets. We currently make add-ons for HTC Vive, Hololens and Oculus Rift.
 
 Each add-on guide outlines the steps to get your eye tracking add-on up and running.
 
-<v-img :src="require('../media/vr-ar/imgs/vive.jpg')"></v-img>
\ No newline at end of file
+![HTC Vice Add-on](./vive.jpg)
\ No newline at end of file
diff --git a/src/vr-ar/rift.md b/core/vr-ar/rift/index.md
similarity index 78%
rename from src/vr-ar/rift.md
rename to core/vr-ar/rift/index.md
index 6f116eac9..f5493d008 100644
--- a/src/vr-ar/rift.md
+++ b/core/vr-ar/rift/index.md
@@ -1,10 +1,4 @@
----
-permalink: /vr-ar/oculus-rift-dk2
-description: Add eye tracking powers to your Oculus Rift DK2 with our 120hz eye tracking add-ons.
----
-
-
-# Oculus Rift DK2 Add-On <Badge text="Discontinued!" type="error"/>
+# Oculus Rift DK2 Add-On <Badge text="Discontinued!" type="danger"/>
 Add eye tracking powers to your Oculus Rift DK2 with our 120hz eye tracking add-ons.
 This page will guide you through all steps needed to turn your Oculus DK2 into an eye tracking HMD using the Pupil Oculus DK2 eye tracking add-on cups.
 
@@ -12,13 +6,7 @@ This page will guide you through all steps needed to turn your Oculus DK2 into a
 Pupil Labs no longer sells Oculus Rift DK2 add-ons. This documentation is for archival purposes only.
 :::
 
-<div class="pb-4" style="display:flex;justify-content:center;">
-	<v-img
-	:src="require('../media/vr-ar/imgs/rift.jpg')"
-	max-width=80%
-	>
-	</v-img>
-</div>
+![Oculus Rift DK2 Add-On](./rift.jpg)
 
 ## Install lens in cup
 Take the lens out of an existing Oculus lens cup.
diff --git a/src/media/vr-ar/imgs/rift.jpg b/core/vr-ar/rift/rift.jpg
similarity index 100%
rename from src/media/vr-ar/imgs/rift.jpg
rename to core/vr-ar/rift/rift.jpg
diff --git a/src/media/vr-ar/imgs/vive.jpg b/core/vr-ar/vive.jpg
similarity index 100%
rename from src/media/vr-ar/imgs/vive.jpg
rename to core/vr-ar/vive.jpg
diff --git a/src/vr-ar/vive.md b/core/vr-ar/vive/index.md
similarity index 97%
rename from src/vr-ar/vive.md
rename to core/vr-ar/vive/index.md
index 37b79f139..b13a4f8be 100644
--- a/src/vr-ar/vive.md
+++ b/core/vr-ar/vive/index.md
@@ -8,7 +8,7 @@ description: Add eye tracking powers to your HTC Vive with our 200Hz binocular e
 Add eye tracking powers to your HTC Vive with our 200Hz binocular eye tracking add-on.
 This section will guide you through all steps needed to turn your HTC Vive into an eye tracking HMD using a Pupil Labs eye tracking add-on.
 
-<v-img :src="require('../media/vr-ar/imgs/vive.jpg')"></v-img>
+![HTC Vice Add-on](./vive.jpg)
 
 ## Install the Vive add-on
 
diff --git a/src/media/vr-ar/imgs/vive_explode_grey.jpg b/core/vr-ar/vive/vive.jpg
similarity index 100%
rename from src/media/vr-ar/imgs/vive_explode_grey.jpg
rename to core/vr-ar/vive/vive.jpg
diff --git a/custom.css b/custom.css
new file mode 100644
index 000000000..ef6628eb3
--- /dev/null
+++ b/custom.css
@@ -0,0 +1,574 @@
+/**
+ * Colors: Solid
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-c-white: #ffffff;
+  --vp-c-black: #000000;
+
+  --vp-c-neutral: var(--vp-c-black);
+  --vp-c-neutral-inverse: var(--vp-c-white);
+}
+
+.dark {
+  --vp-c-neutral: var(--vp-c-white);
+  --vp-c-neutral-inverse: var(--vp-c-black);
+}
+
+/**
+ * Colors: Palette
+ *
+ * The primitive colors used for accent colors. These colors are referenced
+ * by functional colors such as "Text", "Background", or "Brand".
+ *
+ * Each colors have exact same color scale system with 3 levels of solid
+ * colors with different brightness, and 1 soft color.
+ * 
+ * - `XXX-1`: The most solid color used mainly for colored text. It must
+ *   satisfy the contrast ratio against when used on top of `XXX-soft`.
+ *
+ * - `XXX-2`: The color used mainly for hover state of the button.
+ *
+ * - `XXX-3`: The color for solid background, such as bg color of the button.
+ *    It must satisfy the contrast ratio with pure white (#ffffff) text on
+ *    top of it.
+ *
+ * - `XXX-soft`: The color used for subtle background such as custom container
+ *    or badges. It must satisfy the contrast ratio when putting `XXX-1` colors
+ *    on top of it.
+ *
+ *    The soft color must be semi transparent alpha channel. This is crucial
+ *    because it allows adding multiple "soft" colors on top of each other
+ *    to create a accent, such as when having inline code block inside
+ *    custom containers.
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-c-gray-1: #c7c6ca;
+  --vp-c-gray-2: #e3e2e6;
+  --vp-c-gray-3: #f2f0f4;
+  --vp-c-gray-soft: rgba(142, 150, 170, 0.14);
+
+  --vp-c-indigo-1: #005bbf;
+  --vp-c-indigo-2: #3375da;
+  --vp-c-indigo-3: #538ff6;
+  --vp-c-indigo-soft: rgba(51, 117, 218, 0.14);
+
+  --vp-c-green-1: #18794e;
+  --vp-c-green-2: #299764;
+  --vp-c-green-3: #30a46c;
+  --vp-c-green-soft: rgba(16, 185, 129, 0.14);
+
+  --vp-c-yellow-1: #915930;
+  --vp-c-yellow-2: #946300;
+  --vp-c-yellow-3: #9f6a00;
+  --vp-c-yellow-soft: rgba(234, 179, 8, 0.14);
+
+  --vp-c-red-1: #ba1a1a;
+  --vp-c-red-2: #de3730;
+  --vp-c-red-3: #ff5449;
+  --vp-c-red-soft: rgba(222, 55, 48, 0.14);
+
+  --vp-c-sponsor: #db2777;
+}
+
+.dark {
+  --vp-c-gray-1: #46464a;
+  --vp-c-gray-2: #2f3033;
+  --vp-c-gray-3: #1b1b1f;
+  --vp-c-gray-soft: rgba(94, 94, 98, 0.16);
+
+  --vp-c-indigo-1: #acc7ff;
+  --vp-c-indigo-2: #538ff6;
+  --vp-c-indigo-3: #3375da;
+  --vp-c-indigo-soft: rgba(83, 143, 246, 0.14);
+
+  --vp-c-green-1: #3dd68c;
+  --vp-c-green-2: #30a46c;
+  --vp-c-green-3: #298459;
+  --vp-c-green-soft: rgba(16, 185, 129, 0.16);
+
+  --vp-c-yellow-1: #f9b44e;
+  --vp-c-yellow-2: #da8b17;
+  --vp-c-yellow-3: #a46a0a;
+  --vp-c-yellow-soft: rgba(234, 179, 8, 0.16);
+
+  --vp-c-red-1: #ffb4ab;
+  --vp-c-red-2: #ff5449;
+  --vp-c-red-3: #de3730;
+  --vp-c-red-soft: rgba(255, 84, 73, 0.14);
+}
+
+/**
+ * Colors: Background
+ *
+ * - `bg`: The bg color used for main screen.
+ *
+ * - `bg-alt`: The alternative bg color used in places such as "sidebar",
+ *   or "code block".
+ *
+ * - `bg-elv`: The elevated bg color. This is used at parts where it "floats",
+ *   such as "dialog".
+ *
+ * - `bg-soft`: The bg color to slightly ditinguish some components from
+ *   the page. Used for things like "carbon ads" or "table".
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-c-bg: #fefbff;
+  --vp-c-bg-alt: #f2f0f4;
+  --vp-c-bg-elv: #f2f0f4;
+  --vp-c-bg-soft: #f2f0f4;
+}
+
+.dark {
+  --vp-c-bg: #121316;
+  --vp-c-bg-alt: #0d0e11;
+  --vp-c-bg-elv: #1b1b1f;
+  --vp-c-bg-soft: #1b1b1f;
+}
+
+/**
+ * Colors: Borders
+ *
+ * - `divider`: This is used for separators. This is used to divide sections
+ *   within the same components, such as having separator on "h2" heading.
+ *
+ * - `border`: This is designed for borders on interactive components.
+ *   For example this should be used for a button outline.
+ *
+ * - `gutter`: This is used to divide components in the page. For example
+ *   the header and the lest of the page.
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-c-border: #c2c2c4;
+  --vp-c-divider: #c4c6d0;
+  --vp-c-gutter: #e2e2e3;
+}
+
+.dark {
+  --vp-c-border: #77777a;
+  --vp-c-divider: #222429;
+  --vp-c-gutter: #000000;
+}
+
+/**
+ * Colors: Text
+ *
+ * - `text-1`: Used for primary text.
+ *
+ * - `text-2`: Used for muted texts, such as "inactive menu" or "info texts".
+ *
+ * - `text-3`: Used for subtle texts, such as "placeholders" or "caret icon".
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-c-text-1: #1b1b1f;
+  --vp-c-text-2: #2f3033;
+  --vp-c-text-3: #46464a;
+}
+
+.dark {
+  --vp-c-text-1: #e3e2e6;
+  --vp-c-text-2: #ababaf;
+  --vp-c-text-3: #919094;
+}
+
+/**
+ * Colors: Function
+ *
+ * - `default`: The color used purely for subtle indication without any
+ *   special meanings attched to it such as bg color for menu hover state.
+ *
+ * - `brand`: Used for primary brand colors, such as link text, button with
+ *   brand theme, etc.
+ *
+ * - `tip`: Used to indicate useful information. The default theme uses the
+ *   brand color for this by default.
+ *
+ * - `warning`: Used to indicate warning to the users. Used in custom
+ *   container, badges, etc.
+ *
+ * - `danger`: Used to show error, or dangerous message to the users. Used
+ *   in custom container, badges, etc.
+ *
+ * To understand the scaling system, refer to "Colors: Palette" section.
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-c-default-1: var(--vp-c-gray-1);
+  --vp-c-default-2: var(--vp-c-gray-2);
+  --vp-c-default-3: var(--vp-c-gray-3);
+  --vp-c-default-soft: var(--vp-c-gray-soft);
+
+  --vp-c-brand-1: var(--vp-c-indigo-1);
+  --vp-c-brand-2: var(--vp-c-indigo-2);
+  --vp-c-brand-3: var(--vp-c-indigo-3);
+  --vp-c-brand-soft: var(--vp-c-indigo-soft);
+
+  /* DEPRECATED: Use `--vp-c-brand-1` instead. */
+  --vp-c-brand: var(--vp-c-brand-1);
+
+  --vp-c-tip-1: var(--vp-c-brand-1);
+  --vp-c-tip-2: var(--vp-c-brand-2);
+  --vp-c-tip-3: var(--vp-c-brand-3);
+  --vp-c-tip-soft: var(--vp-c-brand-soft);
+
+  --vp-c-warning-1: var(--vp-c-yellow-1);
+  --vp-c-warning-2: var(--vp-c-yellow-2);
+  --vp-c-warning-3: var(--vp-c-yellow-3);
+  --vp-c-warning-soft: var(--vp-c-yellow-soft);
+
+  --vp-c-danger-1: var(--vp-c-red-1);
+  --vp-c-danger-2: var(--vp-c-red-2);
+  --vp-c-danger-3: var(--vp-c-red-3);
+  --vp-c-danger-soft: var(--vp-c-red-soft);
+}
+
+/**
+ * Typography
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-font-family-base: "Chinese Quotes", "Inter var", "Inter", ui-sans-serif,
+    system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
+    "Helvetica Neue", Helvetica, Arial, "Noto Sans", sans-serif,
+    "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";
+  --vp-font-family-mono: ui-monospace, SFMono-Regular, "SF Mono", Menlo, Monaco,
+    Consolas, "Liberation Mono", "Courier New", monospace;
+}
+
+/**
+ * Shadows
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-shadow-1: 0 1px 2px rgba(0, 0, 0, 0.04), 0 1px 2px rgba(0, 0, 0, 0.06);
+  --vp-shadow-2: 0 3px 12px rgba(0, 0, 0, 0.07), 0 1px 4px rgba(0, 0, 0, 0.07);
+  --vp-shadow-3: 0 12px 32px rgba(0, 0, 0, 0.1), 0 2px 6px rgba(0, 0, 0, 0.08);
+  --vp-shadow-4: 0 14px 44px rgba(0, 0, 0, 0.12), 0 3px 9px rgba(0, 0, 0, 0.12);
+  --vp-shadow-5: 0 18px 56px rgba(0, 0, 0, 0.16), 0 4px 12px rgba(0, 0, 0, 0.16);
+}
+
+/**
+ * Z-indexes
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-z-index-footer: 10;
+  --vp-z-index-local-nav: 20;
+  --vp-z-index-nav: 30;
+  --vp-z-index-layout-top: 40;
+  --vp-z-index-backdrop: 50;
+  --vp-z-index-sidebar: 60;
+}
+
+/**
+ * Icons
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-icon-copy: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' height='20' width='20' stroke='rgba(128,128,128,1)' stroke-width='2' viewBox='0 0 24 24'%3E%3Cpath stroke-linecap='round' stroke-linejoin='round' d='M9 5H7a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h10a2 2 0 0 0 2-2V7a2 2 0 0 0-2-2h-2M9 5a2 2 0 0 0 2 2h2a2 2 0 0 0 2-2M9 5a2 2 0 0 1 2-2h2a2 2 0 0 1 2 2'/%3E%3C/svg%3E");
+  --vp-icon-copied: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' height='20' width='20' stroke='rgba(128,128,128,1)' stroke-width='2' viewBox='0 0 24 24'%3E%3Cpath stroke-linecap='round' stroke-linejoin='round' d='M9 5H7a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h10a2 2 0 0 0 2-2V7a2 2 0 0 0-2-2h-2M9 5a2 2 0 0 0 2 2h2a2 2 0 0 0 2-2M9 5a2 2 0 0 1 2-2h2a2 2 0 0 1 2 2m-6 9 2 2 4-4'/%3E%3C/svg%3E");
+}
+
+/**
+ * Layouts
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-layout-max-width: 1440px;
+}
+
+/**
+ * Component: Header Anchor
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-header-anchor-symbol: "#";
+}
+
+/**
+ * Component: Code
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-code-line-height: 1.7;
+  --vp-code-font-size: 0.875em;
+  --vp-code-color: var(--vp-c-brand-1);
+  --vp-code-link-color: var(--vp-c-brand-1);
+  --vp-code-link-hover-color: var(--vp-c-brand-2);
+  --vp-code-bg: var(--vp-c-default-soft);
+
+  --vp-code-block-color: var(--vp-c-text-2);
+  --vp-code-block-bg: var(--vp-c-bg-alt);
+  --vp-code-block-divider-color: var(--vp-c-gutter);
+
+  --vp-code-lang-color: var(--vp-c-text-3);
+
+  --vp-code-line-highlight-color: var(--vp-c-default-soft);
+  --vp-code-line-number-color: var(--vp-c-text-3);
+
+  --vp-code-line-diff-add-color: var(--vp-c-green-soft);
+  --vp-code-line-diff-add-symbol-color: var(--vp-c-green-1);
+
+  --vp-code-line-diff-remove-color: var(--vp-c-red-soft);
+  --vp-code-line-diff-remove-symbol-color: var(--vp-c-red-1);
+
+  --vp-code-line-warning-color: var(--vp-c-yellow-soft);
+  --vp-code-line-error-color: var(--vp-c-red-soft);
+
+  --vp-code-copy-code-border-color: var(--vp-c-divider);
+  --vp-code-copy-code-bg: var(--vp-c-bg-soft);
+  --vp-code-copy-code-hover-border-color: var(--vp-c-divider);
+  --vp-code-copy-code-hover-bg: var(--vp-c-bg);
+  --vp-code-copy-code-active-text: var(--vp-c-text-2);
+  --vp-code-copy-copied-text-content: "Copied";
+
+  --vp-code-tab-divider: var(--vp-code-block-divider-color);
+  --vp-code-tab-text-color: var(--vp-c-text-2);
+  --vp-code-tab-bg: var(--vp-code-block-bg);
+  --vp-code-tab-hover-text-color: var(--vp-c-text-1);
+  --vp-code-tab-active-text-color: var(--vp-c-text-1);
+  --vp-code-tab-active-bar-color: var(--vp-c-brand-1);
+}
+
+/**
+ * Component: Button
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-button-brand-border: transparent;
+  --vp-button-brand-text: var(--vp-c-white);
+  --vp-button-brand-bg: var(--vp-c-brand-3);
+  --vp-button-brand-hover-border: transparent;
+  --vp-button-brand-hover-text: var(--vp-c-white);
+  --vp-button-brand-hover-bg: var(--vp-c-brand-2);
+  --vp-button-brand-active-border: transparent;
+  --vp-button-brand-active-text: var(--vp-c-white);
+  --vp-button-brand-active-bg: var(--vp-c-brand-1);
+
+  --vp-button-alt-border: transparent;
+  --vp-button-alt-text: var(--vp-c-text-1);
+  --vp-button-alt-bg: var(--vp-c-default-3);
+  --vp-button-alt-hover-border: transparent;
+  --vp-button-alt-hover-text: var(--vp-c-text-1);
+  --vp-button-alt-hover-bg: var(--vp-c-default-2);
+  --vp-button-alt-active-border: transparent;
+  --vp-button-alt-active-text: var(--vp-c-text-1);
+  --vp-button-alt-active-bg: var(--vp-c-default-1);
+
+  --vp-button-sponsor-border: var(--vp-c-text-2);
+  --vp-button-sponsor-text: var(--vp-c-text-2);
+  --vp-button-sponsor-bg: transparent;
+  --vp-button-sponsor-hover-border: var(--vp-c-sponsor);
+  --vp-button-sponsor-hover-text: var(--vp-c-sponsor);
+  --vp-button-sponsor-hover-bg: transparent;
+  --vp-button-sponsor-active-border: var(--vp-c-sponsor);
+  --vp-button-sponsor-active-text: var(--vp-c-sponsor);
+  --vp-button-sponsor-active-bg: transparent;
+}
+
+/**
+ * Component: Custom Block
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-custom-block-font-size: 14px;
+  --vp-custom-block-code-font-size: 13px;
+
+  --vp-custom-block-info-border: transparent;
+  --vp-custom-block-info-text: var(--vp-c-text-1);
+  --vp-custom-block-info-bg: var(--vp-c-default-soft);
+  --vp-custom-block-info-code-bg: var(--vp-c-default-soft);
+
+  --vp-custom-block-tip-border: transparent;
+  --vp-custom-block-tip-text: var(--vp-c-text-1);
+  --vp-custom-block-tip-bg: var(--vp-c-brand-soft);
+  --vp-custom-block-tip-code-bg: var(--vp-c-brand-soft);
+
+  --vp-custom-block-warning-border: transparent;
+  --vp-custom-block-warning-text: var(--vp-c-text-1);
+  --vp-custom-block-warning-bg: var(--vp-c-warning-soft);
+  --vp-custom-block-warning-code-bg: var(--vp-c-warning-soft);
+
+  --vp-custom-block-danger-border: transparent;
+  --vp-custom-block-danger-text: var(--vp-c-text-1);
+  --vp-custom-block-danger-bg: var(--vp-c-danger-soft);
+  --vp-custom-block-danger-code-bg: var(--vp-c-danger-soft);
+
+  --vp-custom-block-details-border: var(--vp-custom-block-info-border);
+  --vp-custom-block-details-text: var(--vp-custom-block-info-text);
+  --vp-custom-block-details-bg: var(--vp-custom-block-info-bg);
+  --vp-custom-block-details-code-bg: var(--vp-custom-block-info-code-bg);
+}
+
+/**
+ * Component: Input
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-input-border-color: var(--vp-c-border);
+  --vp-input-bg-color: var(--vp-c-bg-alt);
+
+  --vp-input-switch-bg-color: var(--vp-c-gray-soft);
+}
+
+/**
+ * Component: Nav
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-nav-height: 64px;
+  --vp-nav-bg-color: var(--vp-c-bg);
+  --vp-nav-screen-bg-color: var(--vp-c-bg);
+  --vp-nav-logo-height: 24px;
+}
+
+.hide-nav {
+  --vp-nav-height: 0px;
+}
+
+.hide-nav .VPSidebar {
+  --vp-nav-height: 22px;
+}
+
+/**
+ * Component: Local Nav
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-local-nav-bg-color: var(--vp-c-bg);
+}
+
+/**
+ * Component: Sidebar
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-sidebar-width: 272px;
+  --vp-sidebar-bg-color: var(--vp-c-bg-alt);
+}
+
+/**
+ * Colors Backdrop
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-backdrop-bg-color: rgba(0, 0, 0, 0.6);
+}
+
+/**
+ * Component: Home
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-home-hero-name-color: var(--vp-c-brand-1);
+  --vp-home-hero-name-background: transparent;
+
+  --vp-home-hero-image-background-image: none;
+  --vp-home-hero-image-filter: none;
+}
+
+/**
+ * Component: Badge
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-badge-info-border: transparent;
+  --vp-badge-info-text: var(--vp-c-text-2);
+  --vp-badge-info-bg: var(--vp-c-default-soft);
+
+  --vp-badge-tip-border: transparent;
+  --vp-badge-tip-text: var(--vp-c-brand-1);
+  --vp-badge-tip-bg: var(--vp-c-brand-soft);
+
+  --vp-badge-warning-border: transparent;
+  --vp-badge-warning-text: var(--vp-c-warning-1);
+  --vp-badge-warning-bg: var(--vp-c-warning-soft);
+
+  --vp-badge-danger-border: transparent;
+  --vp-badge-danger-text: var(--vp-c-danger-1);
+  --vp-badge-danger-bg: var(--vp-c-danger-soft);
+}
+
+/**
+ * Component: Carbon Ads
+ * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-carbon-ads-text-color: var(--vp-c-text-1);
+  --vp-carbon-ads-poweredby-color: var(--vp-c-text-2);
+  --vp-carbon-ads-bg-color: var(--vp-c-bg-soft);
+  --vp-carbon-ads-hover-text-color: var(--vp-c-brand-1);
+  --vp-carbon-ads-hover-poweredby-color: var(--vp-c-text-1);
+}
+
+/**
+  * Component: Local Search
+  * -------------------------------------------------------------------------- */
+
+:root {
+  --vp-local-search-bg: var(--vp-c-bg);
+  --vp-local-search-result-bg: var(--vp-c-bg);
+  --vp-local-search-result-border: var(--vp-c-divider);
+  --vp-local-search-result-selected-bg: var(--vp-c-bg);
+  --vp-local-search-result-selected-border: var(--vp-c-brand-1);
+  --vp-local-search-highlight-bg: var(--vp-c-brand-1);
+  --vp-local-search-highlight-text: var(--vp-c-neutral-inverse);
+}
+
+/**
+  * Custom
+  * -------------------------------------------------------------------------- */
+.vp-doc a {
+  text-decoration: none;
+}
+
+.vp-doc h1 {
+  margin-bottom: 1rem;
+}
+
+.text-1 {
+  color: var(--vp-c-text-1);
+}
+
+.text-2 {
+  color: var(--vp-c-text-2);
+}
+
+.textLink {
+  color: var(--vp-c-brand-1);
+}
+
+.textLink:hover {
+  color: var(--vp-c-brand-2);
+}
+.bg-card {
+  background-color: var(--vp-c-default-3);
+}
+
+.bg-card:hover {
+  background-color: var(--vp-c-default-2);
+}
+
+.action-button {
+  background-color: var(--vp-c-default-2);
+}
+
+.action-button:hover {
+  background-color: var(--vp-c-default-1);
+}
+
+@media (min-width: 768px) {
+  #app .VPNavScreen {
+    display: unset;
+  }
+}
+
+@media (min-width: 1146px) {
+  #app .VPNavScreen {
+    display: block;
+  }
+}
diff --git a/default_config.mts b/default_config.mts
new file mode 100644
index 000000000..8331f8456
--- /dev/null
+++ b/default_config.mts
@@ -0,0 +1,78 @@
+type HeadConfig =
+  | [string, Record<string, string>]
+  | [string, Record<string, string>, string];
+
+export interface Outline {
+  level?: number | [number, number] | "deep";
+  label?: string;
+}
+
+export type SocialLinkIcon =
+  | "discord"
+  | "facebook"
+  | "github"
+  | "instagram"
+  | "linkedin"
+  | "mastodon"
+  | "slack"
+  | "twitter"
+  | "youtube"
+  | { svg: string };
+
+export interface SocialLink {
+  icon: SocialLinkIcon;
+  link: string;
+  ariaLabel?: string;
+  target?: string;
+}
+
+// configs
+type ConfigProps = {
+  head: HeadConfig[];
+  appearance: boolean;
+  cleanUrls: boolean;
+};
+
+type ThemeConfigProps = {
+  socialLinks: SocialLink[];
+  search:
+    | { provider: "local"; options?: any }
+    | { provider: "algolia"; options: any };
+  outline: Outline | Outline["level"] | false;
+};
+
+export const config: ConfigProps = {
+  head: [["link", { rel: "icon", href: "/favicon.png" }]],
+  appearance: true,
+  cleanUrls: true,
+};
+
+export const theme_config: ThemeConfigProps = {
+  socialLinks: [
+    { icon: "discord", link: "https://pupil-labs.com/chat" },
+    {
+      icon: {
+        svg: '<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m240-240-92 92q-19 19-43.5 8.5T80-177v-623q0-33 23.5-56.5T160-880h640q33 0 56.5 23.5T880-800v480q0 33-23.5 56.5T800-240H240Zm240-120q17 0 28.5-11.5T520-400q0-17-11.5-28.5T480-440q-17 0-28.5 11.5T440-400q0 17 11.5 28.5T480-360Zm0-160q17 0 28.5-11.5T520-560v-160q0-17-11.5-28.5T480-760q-17 0-28.5 11.5T440-720v160q0 17 11.5 28.5T480-520Z"/></svg>',
+      },
+      link: "https://feedback.pupil-labs.com/",
+    },
+    {
+      icon: {
+        svg: '<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M200-120q-51 0-72.5-45.5T138-250l222-270v-240h-40q-17 0-28.5-11.5T280-800q0-17 11.5-28.5T320-840h320q17 0 28.5 11.5T680-800q0 17-11.5 28.5T640-760h-40v240l222 270q32 39 10.5 84.5T760-120H200Zm80-120h400L544-400H416L280-240Z"/></svg>',
+      },
+      link: "https://docs.pupil-labs.com/alpha-lab",
+      target: "_self",
+    },
+    {
+      icon: {
+        svg: '<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M160-200v-360q0-19 8.5-36t23.5-28l240-180q21-16 48-16t48 16l240 180q15 11 23.5 28t8.5 36v360q0 33-23.5 56.5T720-120H600q-17 0-28.5-11.5T560-160v-200q0-17-11.5-28.5T520-400h-80q-17 0-28.5 11.5T400-360v200q0 17-11.5 28.5T360-120H240q-33 0-56.5-23.5T160-200Z"/></svg>',
+      },
+      link: "https://docs.pupil-labs.com/",
+      target: "_self",
+    },
+  ],
+  search: {
+    provider: "local",
+  },
+  outline: [2, 3],
+};
diff --git a/src/.vuepress/public/favicons/favicon-32x32.png b/favicon.png
similarity index 100%
rename from src/.vuepress/public/favicons/favicon-32x32.png
rename to favicon.png
diff --git a/invisible/.vitepress/config.mts b/invisible/.vitepress/config.mts
new file mode 100644
index 000000000..4e408ab06
--- /dev/null
+++ b/invisible/.vitepress/config.mts
@@ -0,0 +1,226 @@
+import { fileURLToPath, URL } from "node:url";
+import { defineConfig } from "vitepress";
+
+import { config as default_config } from "./../../default_config.mts";
+import { theme_config as default_theme_config } from "./../../default_config.mts";
+
+let theme_config_additions = {
+  nav: [
+    {
+      text: "Hardware",
+      link: "/hardware/technical-overview/",
+      activeMatch: "/hardware/",
+    },
+    {
+      text: "Data Collection",
+      link: "/data-collection/",
+      activeMatch: "/data-collection/",
+    },
+    {
+      text: "Pupil Cloud",
+      link: "/pupil-cloud/",
+      activeMatch: "/pupil-cloud/",
+    },
+    {
+      text: "Real-Time API",
+      link: "/real-time-api/tutorials/",
+      activeMatch: "/real-time-api/",
+    },
+  ],
+
+  sidebar: {
+    "/hardware/": [
+      {
+        text: "Pupil Invisible",
+        items: [
+          { text: "Technical Overview", link: "/hardware/technical-overview/" },
+          { text: "Exchange Lenses", link: "/hardware/exchange-lenses/" },
+          {
+            text: "Cleaning & Disinfecting",
+            link: "/hardware/clean-and-disinfect/",
+          },
+          { text: "Head-Strap", link: "/hardware/attach-the-head-strap/" },
+        ],
+      },
+      {
+        text: "Companion Device",
+        items: [
+          { text: "Compatible Devices", link: "/hardware/compatible-devices/" },
+          { text: "Using a USB Hub", link: "/hardware/using-a-usb-hub/" },
+        ],
+      },
+    ],
+    "/data-collection/": [
+      { text: "Overview", link: "/data-collection/" },
+      {
+        text: "Tutorials",
+        items: [
+          {
+            text: "Your first Recording",
+            link: "/data-collection/first-recording/",
+          },
+          {
+            text: "Offset Correction",
+            link: "/data-collection/offset-correction/",
+          },
+        ],
+      },
+      {
+        text: "Recordings",
+        items: [
+          { text: "Overview", link: "/hardware/recordings/" },
+          { text: "Data Streams", link: "/data-collection/data-streams/" },
+          { text: "Data Format", link: "/data-collection/data-format/" },
+        ],
+      },
+      {
+        text: "Additional Data",
+        items: [
+          { text: "Events", link: "/data-collection/events/" },
+          { text: "Wearers", link: "/data-collection/wearers/" },
+          { text: "Templates", link: "/data-collection/templates/" },
+        ],
+      },
+      {
+        text: "Software & Integrations",
+        items: [
+          { text: "Monitor App", link: "/data-collection/monitor-app/" },
+          {
+            text: "Lab Streaming Layer",
+            link: "/data-collection/lab-streaming-layer/",
+          },
+          // { text: 'PsychoPy', link: '/data-collection/psychopy/' },
+        ],
+      },
+      {
+        text: "How-To Guides",
+        items: [
+          {
+            text: "Transfer Recordings via USB",
+            link: "/data-collection/transfer-recordings-via-usb/",
+          },
+          {
+            text: "Time Synchronization",
+            link: "/data-collection/time-synchronization/",
+          },
+        ],
+      },
+      {
+        text: "Publications & Citation",
+        link: "/hardware/publications-and-citation/",
+      },
+      { text: "Troubleshooting", link: "/data-collection/troubleshooting/" },
+    ],
+    "/pupil-cloud/": [
+      { text: "Overview", link: "/pupil-cloud/" },
+      {
+        text: "Tutorials",
+        items: [
+          { text: "Analysis in Pupil Coud", link: "/pupil-cloud/tutorials/" },
+        ],
+      },
+      {
+        text: "General",
+        items: [
+          { text: "Projects", link: "/pupil-cloud/projects/" },
+          { text: "Workspaces", link: "/pupil-cloud/workspaces/" },
+        ],
+      },
+      {
+        text: "Enrichments",
+        items: [
+          { text: "Overview", link: "/pupil-cloud/enrichments/" },
+          {
+            text: "Reference Image Mapper",
+            link: "/pupil-cloud/enrichments/reference-image-mapper/",
+          },
+          {
+            text: "Marker Mapper",
+            link: "/pupil-cloud/enrichments/marker-mapper/",
+          },
+          {
+            text: "Face Mapper",
+            link: "/pupil-cloud/enrichments/face-mapper/",
+          },
+        ],
+      },
+      {
+        text: "Visualizations",
+        items: [
+          { text: "Heatmap", link: "/pupil-cloud/visualizations/heatmap/" },
+          {
+            text: "Areas of Interest (AOIs)",
+            link: "/pupil-cloud/visualizations/areas-of-interest/",
+          },
+          {
+            text: "Video Renderer",
+            link: "/pupil-cloud/visualizations/video-renderer/",
+          },
+        ],
+      },
+    ],
+    "/real-time-api/": [
+      {
+        text: "Tutorials",
+        items: [{ text: "Overview", link: "/real-time-api/tutorials/" }],
+      },
+      {
+        text: "How-To Guides",
+        items: [
+          {
+            text: "Track your Experiment Progress using Events",
+            link: "/real-time-api/track-your-experiment-progress-using-events/",
+          },
+          {
+            text: "Track your Experiment in Matlab",
+            link: "/real-time-api/track-your-experiment-in-matlab/",
+          },
+        ],
+      },
+      { text: "Legacy API", link: "/real-time-api/legacy-api/" },
+    ],
+  },
+};
+
+let theme_config = { ...default_theme_config, ...theme_config_additions };
+
+let config_additions = {
+  base: "/invisible/",
+  title: "Invisible",
+  titleTemplate: "Invisible - :title - Pupil Labs Docs",
+  description:
+    "Documentation of the Pupil Invisible eye tracker and ecosystem.",
+  vite: {
+    resolve: {
+      alias: [
+        {
+          find: /^.*\/VPNavBar\.vue$/,
+          replacement: fileURLToPath(
+            new URL(
+              "./../../components/header/CustomNavBar.vue",
+              import.meta.url
+            )
+          ),
+        },
+        {
+          find: /^.*\/VPDocFooter\.vue$/,
+          replacement: fileURLToPath(
+            new URL("./../../components/CustomDocFooter.vue", import.meta.url)
+          ),
+        },
+        {
+          find: "@components",
+          replacement: fileURLToPath(
+            new URL("./../../components", import.meta.url)
+          ),
+        },
+      ],
+    },
+  },
+};
+
+export default defineConfig({
+  ...default_config,
+  ...config_additions,
+  themeConfig: theme_config,
+});
diff --git a/invisible/.vitepress/theme/index.ts b/invisible/.vitepress/theme/index.ts
new file mode 100644
index 000000000..55c6b567c
--- /dev/null
+++ b/invisible/.vitepress/theme/index.ts
@@ -0,0 +1,18 @@
+import type { Theme } from "vitepress";
+import DefaultTheme from "vitepress/theme";
+import ProductPageLayout from "@components/ProductPageLayout.vue";
+import Youtube from "@components/Youtube.vue";
+import PhotoGrid from "@components/PhotoGrid.vue";
+
+import "../../../custom.css";
+import "./tailwind.css";
+
+export default {
+  extends: DefaultTheme,
+  enhanceApp({ app }) {
+    // register your custom global components
+    app.component("ProductPageLayout", ProductPageLayout);
+    app.component("Youtube", Youtube);
+    app.component("PhotoGrid", PhotoGrid);
+  },
+} satisfies Theme;
diff --git a/invisible/.vitepress/theme/tailwind.css b/invisible/.vitepress/theme/tailwind.css
new file mode 100644
index 000000000..b5c61c956
--- /dev/null
+++ b/invisible/.vitepress/theme/tailwind.css
@@ -0,0 +1,3 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
diff --git a/invisible/data-collection/data-format/index.md b/invisible/data-collection/data-format/index.md
new file mode 100644
index 000000000..51bd5b2ff
--- /dev/null
+++ b/invisible/data-collection/data-format/index.md
@@ -0,0 +1,128 @@
+# Recording Format
+
+## Recording Folders
+
+The export contains one folder per recording following this naming scheme:
+`<recording name>-<start of recording ID>`
+The files included in every folder are described in the following.
+
+## info.json
+
+This file contains meta-information on the recording.
+
+| Field                          | Description                                                                              |
+| ------------------------------ | ---------------------------------------------------------------------------------------- |
+| **android_device_id**          | Unique identifier of the Android device used as Invisible Companion.                     |
+| **android_device_model**       | Model name of the Companion device.                                                      |
+| **android_device_name**        | Device name of the Companion device.                                                     |
+| **app_version**                | Version of the Companion app used to make the recording.                                 |
+| **calib_version**              | Version of the offset correction used by the Companion app.                              |
+| **data_format_version**        | Version of the data format used by the Companion app.                                    |
+| **duration**                   | Duration of the recording in nanoseconds                                                 |
+| **gaze_offset**                | Gaze offset applied to this recording using the offset correction. Values are in pixels. |
+| **glasses_serial_number**      | Serial number of the Pupil Invisible glasses used for the recording.                     |
+| **pipeline_version**           | Version of the gaze estimation pipeline used by the Companion app.                       |
+| **recording_id**               | Unique identifier of the recording.                                                      |
+| **scene_camera_serial_number** | Serial number of the scene camera used for the recording.                                |
+| **start_time**                 | Timestamp of when the recording was started. Given as UTC timestamp in nanoseconds.      |
+| **template_data**              | Data regarding the selected template for the recording as well as the response values.   |
+| **wearer_id**                  | Unique identifier of the wearer selected for this recording.                             |
+| **wearer_name**                | Name of the wearer selected for this recording.                                          |
+
+**Scene Video**
+Scene video is contained in a file following the following naming scheme:
+`<beginning of section ID>_<section start time>-<section end time>.mp4`
+
+## scene_camera.json
+
+This file contains the camera intrinsics of the used scene camera. The values are determined via calibration of every camera during manufacturing.
+
+| Field               | Description                                                                                                                                                                                                                                                                |
+| ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **camera_matrix**   | The camera matrix of the scene camera.                                                                                                                                                                                                                                     |
+| **dist_coefs**      | The distortion coefficients of the scene camera. The order of the values is `(k1, k2, p1, p2, k3, k4, k5, k6)` following [OpenCV's distortion model](https://docs.opencv.org/4.x/d9/d0c/group__calib3d.html#ga3207604e4b1a1758aa66acb6ed5aa65d).                           |
+| **rotation_matrix** | Extrinsic rotation matrix describing how the scene camera is positioned in relation to the eye cameras. For more details please see section III-B of the [white paper](https://arxiv.org/pdf/2009.00508.pdf).                                                              |
+| **serial_number**   | The serial number of the scene camera. This number can also be found on the back of the scene camera module. Please note that this number is different from the serial number of the frame, which can be found on the tip of the left temple of the Pupil Invisible frame. |
+| **version**         | The version of the intrinsics data format.                                                                                                                                                                                                                                 |
+
+#### world_timestamps.csv
+
+This file contains the timestamps of every world video frame.
+
+| Field              | Description                                                    |
+| ------------------ | -------------------------------------------------------------- |
+| **section id**     | Unique identifier of the corresponding section.                |
+| **recording id**   | Unique identifier of the recording this sample belongs to.     |
+| **timestamp [ns]** | UTC timestamp in nanoseconds of the corresponding world frame. |
+
+## events.csv
+
+This file contains [event](https://docs.pupil-labs.com/neon/data-collection/events/) data for all recordings. It contains both project event annotations and real-time recording events.
+
+| Field              | Description                                               |
+| ------------------ | --------------------------------------------------------- |
+| **recording id**   | Unique identifier of the recording this event belongs to. |
+| **timestamp [ns]** | UTC timestamp of the event.                               |
+| **name**           | Name of the event.                                        |
+| **type**           | Type of the event. Possible values: project, recording    |
+
+## gaze.csv
+
+This file contains [gaze](/data-collection/data-streams/#gaze) data in world camera coordinates.
+
+| Field               | Description                                                                                                                                                                                                                                |
+| ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| **section id**      | Unique identifier of the corresponding section.                                                                                                                                                                                            |
+| **recording id**    | Unique identifier of the recording this sample belongs to.                                                                                                                                                                                 |
+| **timestamp [ns]**  | UTC timestamp in nanoseconds of the sample. Equal to the timestamp of the original gaze sample before mapping.                                                                                                                             |
+| **gaze x [px]**     | Float value representing the x-coordinate of the mapped gaze point in world camera pixel coordinates.                                                                                                                                      |
+| **gaze y [px]**     | Same as "gaze x [px]" but for the y-coordinate.                                                                                                                                                                                            |
+| **worn**            | This value indicates whether the Pupil Invisible Glasses have been worn by a subject at this point in time. `1.0` indicates that it has been worn, while `0.0` indicates that it has not been worn. Added in version 2 of this enrichment. |
+| **fixation id**     | If this gaze sample belongs to a fixation event, this is the corresponding id of the fixation. Otherwise, this field is empty.                                                                                                             |
+| **blink id**        | If this gaze samples belongs to a blink event, this is the corresponding id of the blink. Otherwise this field is empty.                                                                                                                   |
+| **azimuth [deg]**   | The [azimuth](https://en.wikipedia.org/wiki/Horizontal_coordinate_system) of the gaze ray in relation to the scene camera in degrees.                                                                                                      |
+| **elevation [deg]** | The [elevation](https://en.wikipedia.org/wiki/Horizontal_coordinate_system) of the gaze ray in relation to the scene camera in degrees.                                                                                                    |
+
+## fixations.csv
+
+This file contains [fixations](/data-collection/data-streams/#fixations) detected in the gaze data stream.
+The corresponding gaze samples that belong to each fixation can be determined from the `gaze.csv` file using the `fixation id` field.
+
+| Field                    | Description                                                                                                                                                        |
+| ------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| **section id**           | Unique identifier of the corresponding section.                                                                                                                    |
+| **recording id**         | Unique identifier of the recording this sample belongs to.                                                                                                         |
+| **fixation id**          | Identifier of the fixation. The counter starts at the beginning of the recording.                                                                                  |
+| **start timestamp [ns]** | UTC timestamp in nanoseconds of the start of the fixation.                                                                                                         |
+| **end timestamp [ns]**   | UTC timestamp in nanoseconds of the end of the fixation.                                                                                                           |
+| **duration [ms]**        | Duration of the fixation in milliseconds.                                                                                                                          |
+| **fixation x [px]**      | Float value representing the x-coordinate of the fixation in world camera pixel coordinates. This position is the average of all gaze samples within the fixation. |
+| **fixation y [px]**      | Same as "fixation x [px]" but for the y-coordinate.                                                                                                                |
+
+## blinks.csv
+
+This file contains [blinks](/data-collection/data-streams/#blinks) detected in the eye video.
+The corresponding gaze samples that belong to each blink can be determined from the `gaze.csv` file using the `blink id` field.
+
+| Field                    | Description                                                                    |
+| ------------------------ | ------------------------------------------------------------------------------ |
+| **section id**           | Unique identifier of the corresponding section.                                |
+| **recording id**         | Unique identifier of the recording this sample belongs to.                     |
+| **blink id**             | Identifier of the blink. The counter starts at the beginning of the recording. |
+| **start timestamp [ns]** | UTC timestamp in nanoseconds of the start of the blink.                        |
+| **end timestamp [ns]**   | UTC timestamp in nanoseconds of the end of the blink.                          |
+| **duration [ms]**        | Duration of the blink in milliseconds.                                         |
+
+## imu.csv
+
+This file contains data recorded by the integrated [IMU](/data-collection/data-streams/#inertial-measurements) (inertial measurement unit).
+
+| Field                                                                          | Description                                                                                                                                                    |
+| ------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **section id**                                                                 | Unique identifier of the corresponding section.                                                                                                                |
+| **recording id**                                                               | Unique identifier of the recording this sample belongs to.                                                                                                     |
+| **timestamp [ns]**                                                             | UTC timestamp in nanoseconds of the sample.                                                                                                                    |
+| **gyro x [deg/s]**<br />**gyro y [deg/s]**<br />**gyro z [deg/s]**             | Rotation speed around x, y or z-axis respectively in degrees/s.                                                                                                |
+| **acceleration x [G]**<br />**acceleration y [G]**<br />**acceleration z [G]** | Translational acceleration along the x, y or z-axis respectively in G. Note `1 G = 9.80665 m/s^2`.                                                             |
+| **roll**                                                                       | Drift-free estimation of the roll (head tilt from side to side) in degrees. The output range is -180 to +180 degrees. Added in version 2 of this enrichment.   |
+| **pitch**                                                                      | Drift-free estimation of the pitch (head tilt from front to back) in degrees. The output range is -180 to +180 degrees. Added in version 2 of this enrichment. |
diff --git a/src/media/invisible/explainers/PI-Camera_annotation-white.jpg b/invisible/data-collection/data-streams/PI_eye_cameras.jpg
similarity index 100%
rename from src/media/invisible/explainers/PI-Camera_annotation-white.jpg
rename to invisible/data-collection/data-streams/PI_eye_cameras.jpg
diff --git a/src/media/invisible/explainers/example-eye-images.jpg b/invisible/data-collection/data-streams/example-eye-images.jpg
similarity index 100%
rename from src/media/invisible/explainers/example-eye-images.jpg
rename to invisible/data-collection/data-streams/example-eye-images.jpg
diff --git a/src/media/neon/fixations.jpg b/invisible/data-collection/data-streams/fixations.jpg
similarity index 100%
rename from src/media/neon/fixations.jpg
rename to invisible/data-collection/data-streams/fixations.jpg
diff --git a/src/invisible/basic-concepts/data-streams.md b/invisible/data-collection/data-streams/index.md
similarity index 73%
rename from src/invisible/basic-concepts/data-streams.md
rename to invisible/data-collection/data-streams/index.md
index 2b1520049..fcf2d0e33 100644
--- a/src/invisible/basic-concepts/data-streams.md
+++ b/invisible/data-collection/data-streams/index.md
@@ -1,44 +1,21 @@
----
-permalink: /invisible/basic-concepts/data-streams
-description: Summary of all available data streams in Pupil Invisible recordings
----
-
 # Data Streams
-Pupil Invisible glasses include a number of sensors providing different types of data. Some data streams are available in real-time (see [real-time API](/invisible/real-time-api/introduction/)), while others are computed in Pupil Cloud post hoc after uploading. All data is fully accessible and can be downloaded from Pupil Cloud in convenient formats.
+Pupil Invisible glasses include a number of sensors providing different types of data. Some data streams are available in real-time (see [real-time API](/real-time-api/tutorials/)), while others are computed in Pupil Cloud post hoc after uploading. All data is fully accessible and can be downloaded from Pupil Cloud in convenient formats.
 
 ## Eye Videos
 Pupil Invisible glasses feature two eye cameras, one for each eye. They are fully embedded into the frame. The sensors record IR video at 200 Hz and with a resolution of 192x192px. Right next to each camera is an IR LED, which guarantees good illumination of the eye in dark environments.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/explainers/PI-Camera_annotation-white.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Pupil Invisible eye cameras](./PI_eye_cameras.jpg)
 
 Below you can find a collection of example image pairs recorded with different subjects:
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/explainers/example-eye-images.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Example eye images](./example-eye-images.jpg)
 
 ## Gaze
 While recording, the Pupil Invisible Companion device calculates gaze data in real-time. The exact framerate of this signal depends on the model of phone you use as Companion device. On a OnePlus 8 device it is +120 Hz. Other apps running simultaneously on the phone may decrease the framerate.
 
 After a recording is uploaded to Pupil Cloud, gaze data is automatically re-computed at the full framerate of 200 Hz.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/explainers/pi-gaze-coordinate-diagram.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Pupil Invisible gaze coordinate system](./pi-gaze-coordinate-diagram.jpg)
 
 Gaze data is output in pixel space of the scene camera image, which has a resolution of 1088x1080px. The origin is in the top-left corner of the image.
 
@@ -47,15 +24,9 @@ The gaze estimation algorithm is based on end-2-end deep learning and provides g
 ## Fixations
 Two primary types of eye movements exhibited by the visual system are fixations and saccades. During fixations, the eyes are directed at a specific point in the environment. A saccade is a very quick movement where the eyes jump from one fixation to the next. Properties like fixation duration are of significant importance for studying gaze behaviour.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/explainers/fixations.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Fixations](./fixations.jpg)
 
-Fixations are calculated automatically in Pupil Cloud after uploading a recording. They are available as part of the [recording exports](/export-formats/recording-data/invisible). The downloads for gaze mapping enrichments ([Reference Image Mapper](/export-formats/enrichment-data/reference-image-mapper/#fixations-csv), [Marker Mapper](/export-formats/enrichment-data/marker-mapper/#fixations-csv)) also include "mapped fixations".
+Fixations are calculated automatically in Pupil Cloud after uploading a recording. They are available as part of the [recording exports](/data-collection/data-format/). The downloads for gaze mapping enrichments ([Reference Image Mapper](/pupil-cloud/enrichments/reference-image-mapper/#fixations-csv), [Marker Mapper](/pupil-cloud/enrichments/marker-mapper/#fixations-csv)) also include "mapped fixations".
 
 The fixation detection algorithm employed in Pupil Cloud was developed by us, and was specifically designed for head-mounted eye trackers. 
 
@@ -68,7 +39,7 @@ Our algorithm explicitly compensates for VOR eye movements and thus correctly cl
 ## Blinks
 During blinks the eye is briefly covered by the eye lids, which serves the purpose of spreading tears across the cornea. The blink rate and blink duration are however also correlated with cognitive processes, which makes it an interesting physiological signal.
 
-Blinks are detected automatically in Pupil Cloud after uploading a recording. They are available as part of the [recording exports](/export-formats/recording-data/invisible).
+Blinks are detected automatically in Pupil Cloud after uploading a recording. They are available as part of the [recording exports](/data-collection/data-format/).
 
 The blink detection algorithm is operating directly on the eye video to detect the movement patterns of blinks. Read more about the algorithm in the [Pupil Labs blink detector whitepaper](https://docs.google.com/document/d/1JLBhC7fmBr6BR59IT3cWgYyqiaM8HLpFxv5KImrN-qE/export?format=pdf). The algorithm will soon be released as open-source.
 
@@ -87,12 +58,6 @@ An inertial measurement unit (IMU) is integrated into the right temple of the Pu
 
 After uploading to Pupil Cloud, absolute roll and pitch values of the glasses are computed from the inertial measurements using [Madgwick's algorithm](https://x-io.co.uk/downloads/madgwick_internal_report.pdf).
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/explainers/pi-imu-diagram.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Pupil Invisible IMU diagram](./pi-imu-diagram.jpg)
 
 The IMU is oriented in the frame, such that the x-axis points to the right, the y-axis points downwards and the z-axis points to the front.
diff --git a/src/media/invisible/explainers/pi-gaze-coordinate-diagram.jpg b/invisible/data-collection/data-streams/pi-gaze-coordinate-diagram.jpg
similarity index 100%
rename from src/media/invisible/explainers/pi-gaze-coordinate-diagram.jpg
rename to invisible/data-collection/data-streams/pi-gaze-coordinate-diagram.jpg
diff --git a/src/media/invisible/explainers/pi-imu-diagram.jpg b/invisible/data-collection/data-streams/pi-imu-diagram.jpg
similarity index 100%
rename from src/media/invisible/explainers/pi-imu-diagram.jpg
rename to invisible/data-collection/data-streams/pi-imu-diagram.jpg
diff --git a/invisible/data-collection/events/index.md b/invisible/data-collection/events/index.md
new file mode 100644
index 000000000..5189f594d
--- /dev/null
+++ b/invisible/data-collection/events/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../neon/data-collection/events/index.md-->
diff --git a/src/media/invisible/getting-started/PI-Home_UI-white.jpg b/invisible/data-collection/first-recording/PI-Home_UI-white.jpeg
similarity index 100%
rename from src/media/invisible/getting-started/PI-Home_UI-white.jpg
rename to invisible/data-collection/first-recording/PI-Home_UI-white.jpeg
diff --git a/src/media/invisible/getting-started/companion_app_logo.jpg b/invisible/data-collection/first-recording/companion_app_logo.jpeg
similarity index 100%
rename from src/media/invisible/getting-started/companion_app_logo.jpg
rename to invisible/data-collection/first-recording/companion_app_logo.jpeg
diff --git a/src/media/invisible/getting-started/google-play-badge.png b/invisible/data-collection/first-recording/google-play-badge.png
similarity index 100%
rename from src/media/invisible/getting-started/google-play-badge.png
rename to invisible/data-collection/first-recording/google-play-badge.png
diff --git a/src/invisible/getting-started/first-recording.md b/invisible/data-collection/first-recording/index.md
similarity index 73%
rename from src/invisible/getting-started/first-recording.md
rename to invisible/data-collection/first-recording/index.md
index 6caf9c63d..7bf0e0257 100644
--- a/src/invisible/getting-started/first-recording.md
+++ b/invisible/data-collection/first-recording/index.md
@@ -1,15 +1,9 @@
----
-description: Beginner guide to making your first Pupil Invisible recording.
----
-
 # Make your first recording
 
-Using your Pupil Invisible eye tracking system for the first time? 
+Using your Pupil Invisible eye tracking system for the first time?
 
 Follow the steps below to make your first recording!
 
-<v-divider></v-divider>
-
 ## 1. Set up your new Companion Device.
 
 The Companion Device included in your Pupil Invisible case is a brand new device. It has never been turned on, so it will require setup.
@@ -21,26 +15,20 @@ Create a new Google account or use an existing Google account during setup.
 Next, install the Pupil Invisible Companion app on your device:
 
 - Launch the **Google Play Store** app. It is already installed by default on your Companion Device.
-- Search for **Pupil Invisible Companion** in the Google Play Store and click install.
+- Search for [**Pupil Invisible Companion**](https://play.google.com/store/apps/details?id=com.pupillabs.invisiblecomp) in the Google Play Store and click install.
 - Start the Pupil Invisible Companion app when the installation has finished.
 - A couple of permission prompts will appear, which you need to accept.
 - First-time users need to sign up for a [Pupil Cloud](https://cloud.pupil-labs.com/) account. Sign up using your Google account, or create an account with an email address and password.
 
-<div class="pb-4" style="display:grid;grid-template-columns:1fr 1fr;gap:40px;">
+<div class="pb-4" style="display: flex; align-items: center; justify-content: center;">
   <a href="https://play.google.com/store/apps/details?id=com.pupillabs.invisiblecomp" target="_blank">
-  <v-img
-    :src="require('../../media/invisible/getting-started/google-play-badge.png')"
-    style="width:80%;"
-    contain
-  >
-  </v-img>
+
+![Google Play Store](./google-play-badge.png)
+
   </a>
-  <v-img
-    :src="require('../../media/invisible/getting-started/companion_app_logo.jpg')"
-    style="width:80%;"
-    contain
-  >
-  </v-img>
+  
+![Invisible Companion App](/pi-companion_app_logo-bg.png)
+  
 </div>
 
 ## 3. Follow the Setup Instructions on Screen
@@ -48,7 +36,7 @@ Next, install the Pupil Invisible Companion app on your device:
 - As part of the setup process, you can enable uploading recordings to [**Pupil Cloud**](https://cloud.pupil-labs.com/).
 - Pupil Cloud is an online storage and analysis platform for eye tracking recordings. It makes it easy to get recordings off of the phone and includes various algorithms for processing them. Uploading data to Pupil Cloud is optional, but some features are not available without it (e.g. obtaining the 200 Hz gaze signal).
 - You can change this setting at any time in the app settings.
-- You will also be asked to create your first **wearer profile**. Pupil Invisible uses wearer profiles to distinguish who is wearing the glasses.
+- You will also be asked to create your first [**wearer profile**](/data-collection/wearers/). Pupil Invisible uses wearer profiles to distinguish who is wearing the glasses.
 
 ## 4. Open the live Preview
 
@@ -59,13 +47,7 @@ Now, let's see some eye tracking in action!
 
 Put on the glasses and give it a try!
 
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    :src="require('../../media/invisible/getting-started/PI-Home_UI-white.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Invisible Companion Homescreen](./PI-Home_UI-white.jpeg)
 
 ## 5. Make your first Recording
 
@@ -75,6 +57,4 @@ Press the big red button on the home view to start recording. Once you are done
 
 Navigate to the **Recordings view** and click the recording you just made to play it! If you enabled the upload of recordings to Pupil Cloud, you should see that the recording has already started uploading!
 
-<v-divider></v-divider>
-
 Now that you have made a recording, let's explore what you can do with it! In the next article, you will get an overview of the software ecosystem at your disposal.
diff --git a/invisible/data-collection/index.md b/invisible/data-collection/index.md
new file mode 100644
index 000000000..59ddbc5be
--- /dev/null
+++ b/invisible/data-collection/index.md
@@ -0,0 +1,10 @@
+# Data Collection with Pupil Invisible
+Data collection is a key step for any application of Pupil Invisible! In this section you can learn everything about it, starting with how to make [your first recording](/data-collection/first-recording/)!
+
+You can find an overview of what data is contained in Pupil Invisible recordings including all the [data streams](/data-collection/data-streams/) from the various sensors, as well as any additional data like [events](/data-collection/events/), [wearers](/data-collection/wearers/), and [templates](/data-collection/templates/).
+
+You can find introductions on how to use the Pupil Invisible Companion App, e.g. on [Offset Correction](/data-collection/offset-correction/), and how-to guides on common tasks during data collection, e.g. [Time Synchronization](/data-collection/time-synchronization/).
+
+Documentation on useful software and integrations for data collection is also available, see e.g. [Monitor App](/data-collection/monitor-app/) or [Lab Streaming Layer](/data-collection/lab-streaming-layer/).
+
+Finally, you can find a list of [troubleshooting](/data-collection/troubleshooting/) tips and tricks for common issues during data collection.
\ No newline at end of file
diff --git a/invisible/data-collection/lab-streaming-layer/index.md b/invisible/data-collection/lab-streaming-layer/index.md
new file mode 100644
index 000000000..2bf7176d9
--- /dev/null
+++ b/invisible/data-collection/lab-streaming-layer/index.md
@@ -0,0 +1,2 @@
+# Lab Streaming Layer
+This page is still a work in progress. To use LSL with Neon you need to use our [LSL Relay](https://github.com/pupil-labs/lsl-relay). More documentation is coming soon!
\ No newline at end of file
diff --git a/invisible/data-collection/measuring-the-IED/index.md b/invisible/data-collection/measuring-the-IED/index.md
new file mode 100644
index 000000000..91eec21b2
--- /dev/null
+++ b/invisible/data-collection/measuring-the-IED/index.md
@@ -0,0 +1,2 @@
+# Measuring the Inter-Eye-Distance (IED) of a Subject
+Coming soon!
\ No newline at end of file
diff --git a/invisible/data-collection/monitor-app/index.md b/invisible/data-collection/monitor-app/index.md
new file mode 100644
index 000000000..cee3924f9
--- /dev/null
+++ b/invisible/data-collection/monitor-app/index.md
@@ -0,0 +1,38 @@
+# Monitor your Data Collection in Real-Time
+
+![Monitor App](./monitor-app.jpg)
+
+Using the **Monitor app** you can easily monitor your data collection in real-time and remote control all your Pupil Invisible devices from another device. It's a web-app that can be opened in any browser on a computer, tablet or phone! The only requirement is that the Companion device and the device you use to access the Monitor app are connected to the same network.
+
+To access the Monitor app make sure the Pupil Invisible Companion app is running and visit the page [pi.local:8080](http://pi.local:8080) on your monitoring device.
+
+::: tip
+The Pupil Invisible Companion app can display a QR code that gets you straight to the monitor website. Just select `Streaming` in the menu!
+:::
+
+## The App's User Interface
+
+Once the page has loaded, you will be presented with a live stream of the scene camera with a gaze overlay. On the right-hand side you can find a record button, that allows you to remotely start and stop a recording on the device.
+
+If you have multiple Pupil Invisible devices connected to the network, you can switch between devices using the switch button.
+
+Using the various event buttons, you can remotely save an [event](https://docs.pupil-labs.com/neon/data-collection/events/) in a recording to mark points of interest. In the settings view you can customize the according event names.
+
+![Monitor App UI](./monitor-ui.png)
+
+## Connection Problems?
+
+In case you have trouble connecting to your Pupil Invisible please consider the following:
+
+- First, make sure the Companion phone and the device you are using for monitoring are both connected to the same network.
+- The local network must allow MDNS and UDP traffic for the app to work. In large public networks, this may be prohibited for security reasons. You can circumvent this by running a separate WiFi using the phone's hot spot functionality or an extra router.
+
+If you still have trouble, please reach out to us in [chat](https://pupil-labs.com/chat/)!
+
+## Conclusion
+
+The Monitor app allows you to easily monitor your data collection and remotely control all your Pupil Invisible devices.
+
+If you want to go further and get real-time access to the generated data for custom processing, please check out our [real-time API](/real-time-api/tutorials/).
+
+If you want to save events programmatically in real-time during your data collection, check out our how-to guide on [Tracking your Experiment Progress using Events](/real-time-api/track-your-experiment-progress-using-events/) using the real-time API.
diff --git a/src/media/invisible/getting-started/pi-monitor-app.jpg b/invisible/data-collection/monitor-app/monitor-app.jpg
similarity index 100%
rename from src/media/invisible/getting-started/pi-monitor-app.jpg
rename to invisible/data-collection/monitor-app/monitor-app.jpg
diff --git a/src/media/invisible/how-tos/monitor-ui.png b/invisible/data-collection/monitor-app/monitor-ui.png
similarity index 100%
rename from src/media/invisible/how-tos/monitor-ui.png
rename to invisible/data-collection/monitor-app/monitor-ui.png
diff --git a/invisible/data-collection/offset-correction/index.md b/invisible/data-collection/offset-correction/index.md
new file mode 100644
index 000000000..e36fd82a2
--- /dev/null
+++ b/invisible/data-collection/offset-correction/index.md
@@ -0,0 +1,2 @@
+# Using Offset Correction to improve Gaze Accuracy
+Coming soon!
\ No newline at end of file
diff --git a/src/invisible/publications.md b/invisible/data-collection/publications/index.md
similarity index 81%
rename from src/invisible/publications.md
rename to invisible/data-collection/publications/index.md
index 85bee242d..597ae4a2e 100644
--- a/src/invisible/publications.md
+++ b/invisible/data-collection/publications/index.md
@@ -1,8 +1,3 @@
----
-description: Summary of scientific publications by Pupil Labs and the Pupil Community.
-permalink: /invisible/publications/
----
-
 # Publications
 
 ## Publications from the Community
@@ -23,12 +18,6 @@ If you are using **Pupil Invisible** in your own research, please cite the follo
 }
 ```
 
-For guidance on citing **Pupil Core** please see [here](/core/academic-citation).
-
-::: tip
-When citing Pupil Invisible in your publications, you may want to report the neural network version you are using. You can find this information in the [info.json](/export-formats/recording-data/invisible/#info-json) file, under pipeline_version.
-:::
-
 ## Publications from Pupil Labs
 Pupil Labs has published several papers including white papers as well as peer-reviewed papers on eye tracking algorithms. Below they are listed chronologically:
 
diff --git a/invisible/data-collection/recordings/index.md b/invisible/data-collection/recordings/index.md
new file mode 100644
index 000000000..ba1be147d
--- /dev/null
+++ b/invisible/data-collection/recordings/index.md
@@ -0,0 +1,15 @@
+# Recordings
+A recording starts and stops when you press the record button in the Pupil Invisible Companion app. While this should feel similar to recording a regular video on your phone, there is a lot more happening behind the scenes. When you are recording with the Pupil Invisible Companion app, you are capturing not only video data but several more sensors (see [Data Streams](/data-collection/data-streams/)).
+
+Recordings are designed to be as robust as possible. If at any point the Pupil Invisible Glasses or scene camera module are temporarily disconnected from the Companion phone, they will automatically start capturing again as soon as they are reconnected. You could start a recording with Glasses connected and plug it in at a later time. As soon as it is connected, data will be captured.
+
+The Pupil Invisible Companion app has several more features to ensure robust data collection and will e.g. warn you in case the Companion device's battery is running low or if you run out of storage space.
+
+## Wearers, Templates & Events
+When making a recording you can capture various additional data to record things like meta data or key events that happened during data collection. These will be saved as part of the recording itself.
+
+[**Wearers**](/data-collection/wearers/) are the people who wear the Neon device while recording.
+
+[**Templates**](/data-collection/templates/) are questionnairs that can be filled out at recording time.
+
+[**Events**](/data-collection/events/) are key points in time in a recording that have been marked.
diff --git a/invisible/data-collection/templates/index.md b/invisible/data-collection/templates/index.md
new file mode 100644
index 000000000..2a565989c
--- /dev/null
+++ b/invisible/data-collection/templates/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../neon/data-collection/templates/index.md-->
diff --git a/src/media/invisible/explainers/template-naming-example.png b/invisible/data-collection/templates/template-naming-example.png
similarity index 100%
rename from src/media/invisible/explainers/template-naming-example.png
rename to invisible/data-collection/templates/template-naming-example.png
diff --git a/src/invisible/how-tos/data-collection-with-the-companion-app/achieve-super-precise-time-sync.md b/invisible/data-collection/time-synchronization/index.md
similarity index 94%
rename from src/invisible/how-tos/data-collection-with-the-companion-app/achieve-super-precise-time-sync.md
rename to invisible/data-collection/time-synchronization/index.md
index c2ae8d8d1..35ab629d9 100644
--- a/src/invisible/how-tos/data-collection-with-the-companion-app/achieve-super-precise-time-sync.md
+++ b/invisible/data-collection/time-synchronization/index.md
@@ -1,7 +1,3 @@
----
-description: How-To guide on achieving super-precise time sync using the real-time API.
----
-
 # Achieve super-precise Time Sync
 For some applications, it is critical to accurately synchronize your Pupil Invisible device with another clock. That could be from a second Pupil Invisible device, an external sensor, or a computer you use for stimulus presentation. 
 
@@ -61,5 +57,5 @@ The calculation would look like this:
 companion_app_time = external_clock_time - offset
 ```
 ::: tip
-**Note:** In very busy wifi networks the transfer speeds might fluctuate wildly and potentially impact the clock offset measurement. In such cases it would be helpful to connect the phone to the network via [ethernet](/invisible/glasses-and-companion/companion-device/#using-a-usb-c-hub) instead.
+**Note:** In very busy wifi networks the transfer speeds might fluctuate wildly and potentially impact the clock offset measurement. In such cases it would be helpful to connect the phone to the network via [ethernet](/hardware/using-a-usb-hub/) instead.
 :::
\ No newline at end of file
diff --git a/src/invisible/how-tos/data-collection-with-the-companion-app/transfer-recordings-via-usb.md b/invisible/data-collection/transfer-recordings-via-usb/index.md
similarity index 70%
rename from src/invisible/how-tos/data-collection-with-the-companion-app/transfer-recordings-via-usb.md
rename to invisible/data-collection/transfer-recordings-via-usb/index.md
index 91a82184d..6aaa8af45 100644
--- a/src/invisible/how-tos/data-collection-with-the-companion-app/transfer-recordings-via-usb.md
+++ b/invisible/data-collection/transfer-recordings-via-usb/index.md
@@ -1,29 +1,25 @@
----
-description: How-To guide on transferring recordings off of the Companion phone via USB.
----
-
 # Transfer Recordings via USB
 
-
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 The recommended way for transferring recordings off of the phone is to upload them to Pupil Cloud. For some use-cases, however, this may not be possible, and users may want to transfer the recordings via USB.
 :::
 
-To transfer recordings directly to a computer you first need to export the recordings to the Android filesystem. Then you need to access the filesystem to copy the data over to your computer. 
+To transfer recordings directly to a computer you first need to export the recordings to the Android filesystem. Then you need to access the filesystem to copy the data over to your computer.
 
 Recordings downloaded directly from the phone will be in a raw binary format that is difficult to handle. Finally, you should thus export the recordings using Pupil Player to more convenient formats.
 
 #### Export from Invisible Companion App
+
 1. Open recordings view in Invisible Companion App
 2. Select desired recording/s
 3. Export:
-   - For single recordings, the export button is found by clicking on the 3 vertical dots to 
+   - For single recordings, the export button is found by clicking on the 3 vertical dots to
      the right of the cloud symbol
-   - For multiple recordings, click the download symbol at the bottom of the screen    
+   - For multiple recordings, click the download symbol at the bottom of the screen
 4. The app via show you a dialog indicating to which folder the recordings will be exported too. Confirm this by clicking `Yes`.
-    
+
 #### Transfer Exported Recordings to a Computer
+
 1. Connect your OnePlus device to a PC via USB (using the USB cable supplied)
 2. Slide down from the top of the device's home-screen and click on 'Android System - USB charging this device'
 3. Click on 'Tap for more options'
@@ -31,25 +27,22 @@ Recordings downloaded directly from the phone will be in a raw binary format tha
 5. Open File Browser on your PC and access the Internal shared storage of your OnePlus device
 6. Locate the export folder on the phone. Usually, it is in `Documents/Pupil Invisible Export`.
 7. Copy the recordings to your computer.
-8. Export the recordings using [Pupil Player](/core/software/pupil-player/#export) (part of Pupil Core Software).
+8. Export the recordings using [Pupil Player](https://docs.pupil-labs.com/core/software/pupil-player/#export) (part of Pupil Core Software).
 
 <DownloadLinks/>
 
-Note that the export process does not delete the recordings from the Invisible Companion App, and you can still upload 
-to Pupil Cloud at a later date if required. 
+Note that the export process does not delete the recordings from the Invisible Companion App, and you can still upload
+to Pupil Cloud at a later date if required.
 
-Recordings that are deleted from the Invisible Companion App, e.g. to free up storage space, cannot be transferred back 
-to the Invisible Companion App from your backup location (including Pupil Cloud, a laptop/desktop PC, or external HD). 
+Recordings that are deleted from the Invisible Companion App, e.g. to free up storage space, cannot be transferred back
+to the Invisible Companion App from your backup location (including Pupil Cloud, a laptop/desktop PC, or external HD).
 
 This means that if you delete the recordings prior to uploading them to Pupil Cloud, they cannot be uploaded at a later date.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 On **macOS**, you need the <a href="https://www.android.com/filetransfer/" alt="Android File Transfer website">Android File Transfer</a> to browse and transfer files between your Mac computer and your Android device.
 :::
 
 :::tip
-<v-icon large color="info">info_outline</v-icon>
-Recordings transferred locally will contain gaze data at **~120 Hz** (estimated in real-time on the Companion Device). Only 
-recordings uploaded to Pupil Cloud are densified to 200 Hz.
+Recordings transferred locally will only contain gaze data that was generated in real-time. On the OnePlus 8 the framerate of real-time gaze can drop to **~120 Hz**. On the One Plus 10 the framerate is ~200 Hz unless there is additional load on the phone. Only recordings uploaded to Pupil Cloud are always densified to 200 Hz.
 :::
diff --git a/src/media/invisible/invisible-companion-app/videos/app_lock_oneplus6.mp4 b/invisible/data-collection/troubleshooting/app_lock_oneplus6.mp4
similarity index 100%
rename from src/media/invisible/invisible-companion-app/videos/app_lock_oneplus6.mp4
rename to invisible/data-collection/troubleshooting/app_lock_oneplus6.mp4
diff --git a/src/invisible/troubleshooting.md b/invisible/data-collection/troubleshooting/index.md
similarity index 59%
rename from src/invisible/troubleshooting.md
rename to invisible/data-collection/troubleshooting/index.md
index ba96e2bc8..f54167724 100644
--- a/src/invisible/troubleshooting.md
+++ b/invisible/data-collection/troubleshooting/index.md
@@ -1,19 +1,7 @@
----
-permalink: /invisible/troubleshooting
-description: Troubleshooting section listing common issues and their solution.
----
-
 # Troubleshooting
 Below you can find a list of issues we have observed in the past and recommendations on how to fix them. If the instructions do not solve the problem for you, please reach out to us on [Discord](https://pupil-labs.com/chat/) or via email to `info@pupil-labs.com`.
 
-
-## Pupil Invisible & Companion App
-
-#### Recordings are not uploading to Pupil Cloud successfully
-1. Make sure **Cloud upload** is enabled in the Companion app's settings.
-1. Try logging out of the app and back in.
-
-#### The Companion device is vibrating and a red LED is blinking on my Pupil Invisible glasses!
+## The Companion device is vibrating and a red LED is blinking on my Pupil Invisible glasses!
 The vibrations and the blinking LED try to grab the wearer's attention to notify them of a problem that may critically hurt the ongoing recording. To get details on the problem, open the Pupil Invisible Companion app, which will show an error description.
 
 Potential problems include:
@@ -21,13 +9,12 @@ Potential problems include:
 - Low storage space remaining on the Companion Device.
 - Unstable connection to the Pupil Invisible Glasses device during a recording.
 
-#### I accidentally updated my Companion device to an incompatible Android version!
+## I accidentally updated my Companion device to an incompatible Android version!
 You need to rollback the Android version to be compatible again. Please note that all data on the phone will be lost during the rollback, so make backups accordingly.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 The instructions below require you to copy files to your phone. If you are not familiar
-with this procedure, see steps 1-5 from [these instructions](/invisible/how-tos/data-collection-with-the-companion-app/transfer-recordings-via-usb.html#transfer-exported-recordings-to-a-computer).
+with this procedure, see steps 1-5 from [these instructions](/data-collection/transfer-recordings-via-usb/).
 :::
 
 **OnePlus 6**
@@ -64,60 +51,30 @@ If you upgraded to Android 12 or newer and want to roll back, follow these steps
 1. Wait until the system update has been installed successfully
 1. Tap `Reboot`
 
-#### The scene camera and eye cameras are not being recorded or recognized in the Companion app!
+## The scene camera and eye cameras are not being recorded or recognized in the Companion app!
 1. Make sure you use the included black USB-C to USB-C connector cable rather than a third-party cable. Third-party USB cables vary widely in their quality and can lead to loss of connection.
 1. Are you using a **OnePlus 6** device?
    - Make sure **OTG** is enabled. If it is not enabled you should see a red USB sign in the top-left of the companion app's home screen. Check out the video for a demonstration of how to add OTG to quick settings and enable OTG.
 
-<div style="display:flex;flex-direction:row;justify-content:center;" class="pb-4">
-    <video style="max-height: 700px;" controls muted>
-      <source src="../media/invisible/invisible-companion-app/videos/usb_otg_oneplus6.mp4" type="video/mp4">
-    </video>
-</div>
+<video width="100%" controls>
+  <source src="./usb_otg_oneplus6.mp4" type="video/mp4">
+</video>
 
 
-#### The scene video or gaze data cuts off at some point in a recording!
+## The scene video or gaze data cuts off at some point in a recording!
 1. Make sure that permissions to access the USB devices are given and **"Use by default for this device" is enabled**. If those permissions are not given or not set to be used by default, you should get prompts asking you for permissions every time you reconnect the glasses to the companion device. To fix this, reconnect your glasses and for every prompt that shows up give permission and check the "Use by default for this device" checkbox.
 1. Make sure you use the included black USB-C to USB-C connector cable rather than a third-party cable. Third-party USB cables vary widely in their quality and can lead to loss of connection.
 1. Are you using a **OnePlus 6** device?
    - Make sure the **Companion app is locked** to the Android app overview. If it is not locked, you should see a red lock symbol in the top-left of the companion app's home screen.
    Check out the video to see how to lock the app.
 
-<div style="display:flex;flex-direction:row;justify-content:center;" class="pb-4">
-   <video style="max-height: 700px;" controls muted>
-     <source src="../media/invisible/invisible-companion-app/videos/app_lock_oneplus6.mp4" type="video/mp4">
-   </video>
-</div>
+<video width="100%" controls>
+  <source src="./app_lock_oneplus6.mp4" type="video/mp4">
+</video>
 
-#### 'Always open Invisible Companion when...' dialog keeps opening when I plug in the Glasses!
+## 'Always open Invisible Companion when...' dialog keeps opening when I plug in the Glasses!
 This is an Android OS bug. Fix it by resetting Pupil Invisible Companion App to default settings:
 1. Long press on the Pupil Invisible Companion App icon in the home screen.
 1. Click `App Info` then `Advanced` followed by `Open by default`. 
 1. Click `Clear defaults`. (No recordings will be lost.)
-1. Open the App and connect your Pupil Invisible device. Tick the "Always open Invisible Companion when..." checkboxes and accept the permission requests. Now they will be saved properly.
-
-## Pupil Cloud
-
-#### My enrichment download contains only an `info.json` file and nothing else!
-Did you use **Safari browser** to make the download?
-   - Enrichments downloads come as ZIP files. By default, Safari will automatically extract ZIP files when the download is finished. However, it will only extract file types that are considered "safe". Surprisingly, CSV and MP4 files are not considered safe and Safari will by default only extract the remaining JSON files.
-
-      To fix this you can either use a different browser to make the download, or disable the **"Open 'safe' files after downloading"** setting in Safari.
-
-
-## Real-Time API
-
-#### I cannot connect to devices using the real-time API!
-1. Make sure the Companion app and the device you are using to access the API are connected to the same local network.
-1. For discovery the local network must allow MDNS and UDP traffic. In large public networks this may be prohibited for security reasons.
-   
-   - You may still be able to connect to the Pupil Invisible device using its IP address. You can find the IP address in the WiFi settings of the phone. Once you have it, you can connect like this:
-      ```python
-      from pupil_labs.realtime_api.simple import Device
-
-      # This address is just an example. Find out the actual IP address of your device!
-      ip = "192.168.1.169"
-
-      device = Device(address=ip, port="8080")
-      ```
-   - Alternatively, you can circumvent this by running a separate WiFi using the phone's hotspot functionality or a dedicated WiFi router.
+1. Open the App and connect your Pupil Invisible device. Tick the "Always open Invisible Companion when..." checkboxes and accept the permission requests. Now they will be saved properly.
\ No newline at end of file
diff --git a/src/media/invisible/invisible-companion-app/videos/usb_otg_oneplus6.mp4 b/invisible/data-collection/troubleshooting/usb_otg_oneplus6.mp4
similarity index 100%
rename from src/media/invisible/invisible-companion-app/videos/usb_otg_oneplus6.mp4
rename to invisible/data-collection/troubleshooting/usb_otg_oneplus6.mp4
diff --git a/invisible/data-collection/wearers/index.md b/invisible/data-collection/wearers/index.md
new file mode 100644
index 000000000..42048335d
--- /dev/null
+++ b/invisible/data-collection/wearers/index.md
@@ -0,0 +1,6 @@
+# Wearers
+Wearers are the people wearing the Pupil Invisible Glasses. In a typical study, each subject would be a wearer. Every recording you make is assigned to a wearer to help you organize your recordings. You can create new wearers on the fly in the Pupil Invisible Companion app or in advance using [Pupil Cloud](/pupil-cloud/).
+
+Every wearer is assigned a unique ID, such that you can edit the name and profile picture at any time without mixing up your recordings.
+
+Gaze estimates for some subjects with rare physiologies can be affected by a systematic offset. In those cases you can define an **offset correction** in the wearer profile to compensate this effect. Learn more about this in the [Offset Correction guide](/data-collection/offset-correction/).
\ No newline at end of file
diff --git a/src/invisible/glasses-and-companion/hardware-handling/attach-the-head-strap.md b/invisible/hardware/attach-the-head-strap/index.md
similarity index 56%
rename from src/invisible/glasses-and-companion/hardware-handling/attach-the-head-strap.md
rename to invisible/hardware/attach-the-head-strap/index.md
index eb3ac8659..d1d3411d2 100644
--- a/src/invisible/glasses-and-companion/hardware-handling/attach-the-head-strap.md
+++ b/invisible/hardware/attach-the-head-strap/index.md
@@ -1,18 +1,7 @@
----
-permalink: /invisible/glasses-and-companion/hardware-handling/attach-the-head-strap
-description: How-To guide on attaching the head-strap to Pupil Invisible glasses.
----
-
 # Attach the Head Strap
 
 The [head strap](https://pupil-labs.com/products/invisible/accessories/) is an accessory that can be purchased if you want to use Pupil Invisible while playing sports or in other dynamic activities. The head strap can be adjusted to fit most wearers by pulling the two tabs.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../../media/invisible/how-tos/pi-strap.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Pupil Invisible head strap](./pi-strap.jpeg)
 
-Clip the strap connector onto the arms of your Pupil Invisible glasses. The cable should be on top of the glasses' arms. The open side of the clip should be on the inside of the glasses frame. See the image for reference.
+Clip the strap connector onto the arms of your Pupil Invisible glasses. The cable should be on top of the glasses' arms. The open side of the clip should be on the inside of the glasses frame. See the image for reference.
\ No newline at end of file
diff --git a/src/media/invisible/how-tos/pi-strap.jpg b/invisible/hardware/attach-the-head-strap/pi-strap.jpeg
similarity index 100%
rename from src/media/invisible/how-tos/pi-strap.jpg
rename to invisible/hardware/attach-the-head-strap/pi-strap.jpeg
diff --git a/invisible/hardware/clean-and-disinfect/index.md b/invisible/hardware/clean-and-disinfect/index.md
new file mode 100644
index 000000000..f7cd24ea1
--- /dev/null
+++ b/invisible/hardware/clean-and-disinfect/index.md
@@ -0,0 +1,11 @@
+# Cleaning and Disinfecting
+
+Pupil Invisible contains cameras and other sensitive electronic components, so be carful when cleaning. The eye cameras, world camera and USB connection points are especially sensitive to liquid.
+
+::: danger
+Do **not** rinse or wet-clean the Pupil Invisible Glasses as this may damage the electronics.
+:::
+
+You can clean the scene camera and eye camera lenses carefully with the provided microfiber cloth if dust is visible. Similarly you clean the lenses of of the glasses themselves.
+
+If desired, you can disinfect the frames between uses. The disinfectant we use is made from 22.0g Ethanol, 21.0g 2-Propanol, 8.0g 1-Propanol per 100 grams of solution. One such brand name that we use is "Vibasept". We use the wetted towelettes (wipes). Similar products should be available globally under different brand names.
\ No newline at end of file
diff --git a/src/invisible/glasses-and-companion/companion-device.md b/invisible/hardware/compatible-devices/index.md
similarity index 62%
rename from src/invisible/glasses-and-companion/companion-device.md
rename to invisible/hardware/compatible-devices/index.md
index 9d773a785..a6c765878 100644
--- a/src/invisible/glasses-and-companion/companion-device.md
+++ b/invisible/hardware/compatible-devices/index.md
@@ -1,8 +1,3 @@
----
-permalink: /invisible/glasses-and-companion/companion-device
-description: Information on the Companion device and app.
----
-
 # Companion Device
 The Companion device is a flagship Android smartphone. It is a regular phone that is not customized or modified in any way. We support a small number of models, carefully selected and tested for maximum stability and performance. The Pupil Invisible Companion app is tuned to work with these particular models as we require full control over various low-level functions of the hardware. 
 
@@ -36,21 +31,5 @@ supported Android versions are as follows:
 :::tip
 Should you have upgraded to an incompatible Android version by accident, you have the
 option to rollback to a compatible version. You can find the instructions
-[here](/invisible/troubleshooting/#i-accidentally-updated-my-companion-device-to-an-incompatible-android-version)
-:::
-
-
-## Using a USB-C Hub
-The capabilities of the Companion device can be extended by connecting it to a USB-C hub. You can still connect a Pupil Invisible to the Companion device through the hub. For this to work the hub needs to provide a USB-C port that supports data transfer (some USB-C ports only support power delivery!). 
-
-::: tip
-Using a USB-C hub only works with **Android 11** and higher, which means that it is not compatible with the **OnePlus 6**.
-:::
-
-Most importantly using a hub allows you to:
-- **charge the phone while recording**: if the hub supports power delivery, you can connect a power source to it to charge the Companion device even while it is recording. This allows to arbitrarily arbitrarily extend the recording duration.
-- **connect an ethernet cable**: if the hub has an ethernet socket, you can connect the phone to the internet with it. This can be useful to increase the upload speed of recordings to Pupil Cloud or to transfer real-time data with very low latency.
-
-::: tip
-Not all USB-C hubs are compatible with Android and sometimes compatibility is difficult to check in advance! We have tested for example [this](https://www.amazon.de/dp/B08CKXNJZS/) hub successfully, which supports both power delivery and ethernet.
+[here](/data-collection/troubleshooting/#i-accidentally-updated-my-companion-device-to-an-incompatible-android-version)
 :::
\ No newline at end of file
diff --git a/src/invisible/glasses-and-companion/hardware-handling/exchange-lenses.md b/invisible/hardware/exchange-lenses/index.md
similarity index 85%
rename from src/invisible/glasses-and-companion/hardware-handling/exchange-lenses.md
rename to invisible/hardware/exchange-lenses/index.md
index 92ebe5865..6632897e7 100644
--- a/src/invisible/glasses-and-companion/hardware-handling/exchange-lenses.md
+++ b/invisible/hardware/exchange-lenses/index.md
@@ -1,8 +1,3 @@
----
-permalink: /invisible/glasses-and-companion/hardware-handling/exchange-lenses
-description: How-To guide on exchanging the lenses of Pupil Invisible glasses.
----
-
 # Exchange the Lenses
 You can easily change the lenses of your Pupil Invisible glasses. A pair of shaded lenses is included with every device.
 
diff --git a/src/invisible/glasses-and-companion/technical-overview.md b/invisible/hardware/technical-overview/index.md
similarity index 52%
rename from src/invisible/glasses-and-companion/technical-overview.md
rename to invisible/hardware/technical-overview/index.md
index be4e9df36..da8f4422d 100644
--- a/src/invisible/glasses-and-companion/technical-overview.md
+++ b/invisible/hardware/technical-overview/index.md
@@ -1,43 +1,27 @@
----
-permalink: /invisible/glasses-and-companion/technical-overview
-description: A technical overview on the Pupil Invisible device.
----
-
 # Technical Overview
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    :src="require('../../media/invisible/explainers/pi_with_phone.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+
+![Pupil Invisible Topology](./pi_with_phone.jpg)
 
 The Pupil Invisible glasses connect to the Companion device (Android Phone) with a USB-C cable. The Companion device supplies the glasses with power and receives the raw sensor data for storage and further processing. Use the Pupil Invisible Companion App to make recordings, preview real-time gaze and world video, stream data over the network, set up wearers, select templates, and preview and upload recordings to Pupil Cloud.
 
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    :src="require('../../media/invisible/explainers/pi_sensor_callout.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Pupil Invisible with callouts](./pi_sensor_callout.jpg)
 
 While looking almost like normal glasses, the Pupil Invisible glasses are filled with sensors and electronics:
 
-- **Eye Cameras**: A binocular pair of infrared cameras with matching 850nm infrared illuminator **LEDs** are used to capture [eye videos](/invisible/basic-concepts/data-streams/#eye-videos). The raw data is saved with each recording and is used for real-time [gaze](/invisible/basic-concepts/data-streams/#gaze) estimation.
+- **Eye Cameras**: A binocular pair of infrared cameras with matching 850nm infrared illuminator **LEDs** are used to capture [eye videos](/data-collection/data-streams/#eye-videos). The raw data is saved with each recording and is used for real-time [gaze](/data-collection/data-streams/#gaze) estimation.
 
-- **Scene Camera**: A detachable scene camera is located on the left arm of the glasses capturing [scene video](/invisible/basic-concepts/data-streams/#scene-video). A **microphone** is integrated into the camera module to capture [audio](/invisible/basic-concepts/data-streams/#audio). You can detach and attach the camera at any time before, during, and after a recording. The app will capture scene video during a recording automatically whenever it is attached. Capturing audio is optional and settable in the Companion app settings.
+- **Scene Camera**: A detachable scene camera is located on the left arm of the glasses capturing [scene video](/data-collection/data-streams/#scene-video). A **microphone** is integrated into the camera module to capture [audio](/data-collection/data-streams/#audio). You can detach and attach the camera at any time before, during, and after a recording. The app will capture scene video during a recording automatically whenever it is attached. Capturing audio is optional and settable in the Companion app settings.
  
-- **IMU**: A 6-degrees-of-freedom IMU is integrated into the right arm of the glasses. It captures the [inertia](/invisible/basic-concepts/data-streams/#inertial-measurements) of the glasses, including translational acceleration, rotational speed, pitch and roll.
+- **IMU**: A 6-degrees-of-freedom IMU is integrated into the right arm of the glasses. It captures the [inertia](/data-collection/data-streams/#inertial-measurements) of the glasses, including translational acceleration, rotational speed, pitch and roll.
 
 - **Indicator LED**: An RGB LED is located in the front-right of the glasses to notify the wearer in case of issues. For example, if the Companion device is running out of battery or storage space, the indicator light will start blinking (the Companion device will also start vibrating!).
 
-- **Lenses**: A pair of exchangeable lenses sits in the front of the glasses. The glasses ship with clear plano lenses, as well as a pair of shaded lenses. Lenses with prescription values can be obtained from any optician or via our [lens kit](https://pupil-labs.com/products/invisible/accessories/). See our how-to guide on [exchanging lenses](/invisible/glasses-and-companion/hardware-handling/exchange-lenses/) for more information.
+- **Lenses**: A pair of exchangeable lenses sits in the front of the glasses. The glasses ship with clear plano lenses, as well as a pair of shaded lenses. Lenses with prescription values can be obtained from any optician or via our [lens kit](https://pupil-labs.com/products/invisible/accessories/). See our how-to guide on [exchanging lenses](/hardware/exchange-lenses/) for more information.
 
 - **USB-C Connector**: The connector is used to connect the glasses to the Companion device. Always use the cable that was provided with your Pupil Invisible system to guarantee a stable connection!
 
 - **Serial Plaque**: The glasses serial number can be found on a plaque at the tip of the left arm.
 
 :::danger
-The electronics and sensors are sensitive! Please follow our how-to guide when [cleaning and disinfecting](/invisible/glasses-and-companion/hardware-handling/clean-and-disinfect/)  your glasses.
+The electronics and sensors are sensitive! Please follow our how-to guide when [cleaning and disinfecting](/hardware/clean-and-disinfect/)  your glasses.
 :::
\ No newline at end of file
diff --git a/src/media/invisible/explainers/pi_sensor_callout.jpg b/invisible/hardware/technical-overview/pi_sensor_callout.jpg
similarity index 100%
rename from src/media/invisible/explainers/pi_sensor_callout.jpg
rename to invisible/hardware/technical-overview/pi_sensor_callout.jpg
diff --git a/src/media/invisible/explainers/pi_with_phone.jpg b/invisible/hardware/technical-overview/pi_with_phone.jpg
similarity index 100%
rename from src/media/invisible/explainers/pi_with_phone.jpg
rename to invisible/hardware/technical-overview/pi_with_phone.jpg
diff --git a/invisible/hardware/using-a-usb-hub/index.md b/invisible/hardware/using-a-usb-hub/index.md
new file mode 100644
index 000000000..b9aeb94f3
--- /dev/null
+++ b/invisible/hardware/using-a-usb-hub/index.md
@@ -0,0 +1,13 @@
+# Using a USB-C Hub
+The capabilities of the Companion device can be extended by connecting it to a USB-C hub. You can still connect Pupil Invisible Glasses to the Companion device through the hub. For this to work, the hub needs to provide a USB-C port that supports data transfer (some USB-C ports only support power delivery!). 
+
+
+Most importantly using a hub allows you to:
+- **charge the phone while recording**: if the hub supports power delivery, you can connect a power source to it to charge the Companion device even while it is recording. This allows to arbitrarily extend the recording duration.
+- **connect an ethernet cable**: if the hub has an ethernet socket, you can connect the phone to the internet with it. This can be useful to increase the upload speed of recordings to Pupil Cloud or to transfer real-time data with very low latency.
+
+::: tip
+Not all USB-C hubs are compatible with Android and sometimes compatibility is difficult to check in advance! We have tested for example [this](https://www.amazon.de/dp/B08CKXNJZS/) hub successfully, which supports both power delivery and ethernet.
+
+Note that the original OnePlus charger is not compatible with regular hubs (including the linked one) because it uses non-standard power delivery. Other regular USB chargers should work though.
+:::
diff --git a/invisible/index.md b/invisible/index.md
new file mode 100644
index 000000000..fc3a5985a
--- /dev/null
+++ b/invisible/index.md
@@ -0,0 +1,34 @@
+---
+# https://vitepress.dev/reference/default-theme-home-page
+layout: ProductPageLayout
+title: Home
+
+hero:
+  title: "Invisible"
+  tagline: Official docs for users getting started with their Pupil Labs eye tracking glasses and for developers working on eye tracking applications and integrations.
+  image: "/invisible/pi-overview.webp"
+  actions:
+    - theme: brand
+      text: Getting Started
+      link: /getting-started/
+    - theme: alt
+      text: Pupil Cloud
+      link: /pupil-cloud/
+
+cards:
+  - title: Hardware
+    details: The Pupil Invisible Glasses frame, scene camera module, Companion device, and everything you need to know about them.
+    link: { text: View, href: "/invisible/hardware/technical-overview/" }
+  - title: Data Collection
+    details: Pupil Invisible comes with a lot of powerful tools for data collection. Learn how to use them here!
+    link: { text: View, href: "/invisible/data-collection/" }
+  - title: Pupil Cloud
+    details: Pupil Cloud is a powerful tool for managing your data, analyzing your recordings, and collaborating with your team. It's our recommended tool for analysis.
+    link: { text: View, href: "/invisible/pupil-cloud/" }
+  - title: Real-Time API
+    details: You can access the data Neon generates in real-time and remote control it using its real-time API. Learn how it works here!
+    link: { text: View, href: "/invisible/real-time-api/tutorials/" }
+  - title: Chat
+    details: Come chat with us on Discord! Do you have an issues or questions? Just wanna say hi? Join the chat and drop us a message!
+    link: { text: View, href: "https://pupil-labs.com/chat", target: "_blank" }
+---
diff --git a/invisible/package-lock.json b/invisible/package-lock.json
new file mode 100644
index 000000000..ef3b9a3c6
--- /dev/null
+++ b/invisible/package-lock.json
@@ -0,0 +1,2810 @@
+{
+  "name": "invisible",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "devDependencies": {
+        "autoprefixer": "^10.4.16",
+        "postcss": "^8.4.31",
+        "pug": "^3.0.2",
+        "tailwindcss": "^3.3.5",
+        "vitepress": "^1.0.0-rc.24",
+        "vue-pug-plugin": "^2.0.3"
+      }
+    },
+    "node_modules/@algolia/autocomplete-core": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-core/-/autocomplete-core-1.9.3.tgz",
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+      "dev": true,
+      "dependencies": {
+        "@algolia/autocomplete-plugin-algolia-insights": "1.9.3",
+        "@algolia/autocomplete-shared": "1.9.3"
+      }
+    },
+    "node_modules/@algolia/autocomplete-plugin-algolia-insights": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-plugin-algolia-insights/-/autocomplete-plugin-algolia-insights-1.9.3.tgz",
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+      "dev": true,
+      "dependencies": {
+        "@algolia/autocomplete-shared": "1.9.3"
+      },
+      "peerDependencies": {
+        "search-insights": ">= 1 < 3"
+      }
+    },
+    "node_modules/@algolia/autocomplete-preset-algolia": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-preset-algolia/-/autocomplete-preset-algolia-1.9.3.tgz",
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+      "dev": true,
+      "dependencies": {
+        "@algolia/autocomplete-shared": "1.9.3"
+      },
+      "peerDependencies": {
+        "@algolia/client-search": ">= 4.9.1 < 6",
+        "algoliasearch": ">= 4.9.1 < 6"
+      }
+    },
+    "node_modules/@algolia/autocomplete-shared": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-shared/-/autocomplete-shared-1.9.3.tgz",
+      "integrity": "sha512-Wnm9E4Ye6Rl6sTTqjoymD+l8DjSTHsHboVRYrKgEt8Q7UHm9nYbqhN/i0fhUYA3OAEH7WA8x3jfpnmJm3rKvaQ==",
+      "dev": true,
+      "peerDependencies": {
+        "@algolia/client-search": ">= 4.9.1 < 6",
+        "algoliasearch": ">= 4.9.1 < 6"
+      }
+    },
+    "node_modules/@algolia/cache-browser-local-storage": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-browser-local-storage/-/cache-browser-local-storage-4.20.0.tgz",
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+      "dev": true,
+      "dependencies": {
+        "@algolia/cache-common": "4.20.0"
+      }
+    },
+    "node_modules/@algolia/cache-common": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-common/-/cache-common-4.20.0.tgz",
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+      "dev": true
+    },
+    "node_modules/@algolia/cache-in-memory": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-in-memory/-/cache-in-memory-4.20.0.tgz",
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+      "dependencies": {
+        "@algolia/cache-common": "4.20.0"
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+    "node_modules/@algolia/client-account": {
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diff --git a/invisible/package.json b/invisible/package.json
new file mode 100644
index 000000000..de70b61a5
--- /dev/null
+++ b/invisible/package.json
@@ -0,0 +1,15 @@
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+    "postcss": "^8.4.31",
+    "pug": "^3.0.2",
+    "tailwindcss": "^3.3.5",
+    "vitepress": "^1.0.0-rc.24",
+    "vue-pug-plugin": "^2.0.3"
+  },
+  "scripts": {
+    "docs:dev": "vitepress dev",
+    "docs:build": "vitepress build",
+    "docs:preview": "vitepress preview"
+  }
+}
diff --git a/invisible/postcss.config.js b/invisible/postcss.config.js
new file mode 100644
index 000000000..12a703d90
--- /dev/null
+++ b/invisible/postcss.config.js
@@ -0,0 +1,6 @@
+module.exports = {
+  plugins: {
+    tailwindcss: {},
+    autoprefixer: {},
+  },
+};
diff --git a/invisible/public/pi-companion_app_logo-bg.png b/invisible/public/pi-companion_app_logo-bg.png
new file mode 100644
index 000000000..62945ac98
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diff --git a/invisible/public/pi-overview.webp b/invisible/public/pi-overview.webp
new file mode 100644
index 000000000..b8cbd8fae
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diff --git a/src/neon/publications.md b/invisible/publications-and-citation/index.md
similarity index 62%
rename from src/neon/publications.md
rename to invisible/publications-and-citation/index.md
index 3eaf97f97..c36a5e041 100644
--- a/src/neon/publications.md
+++ b/invisible/publications-and-citation/index.md
@@ -1,22 +1,22 @@
----
-description: Summary of scientific publications by Pupil Labs and the Pupil Community.
-permalink: /neon/publications/
----
-
-# Publications
+# Publications & Citation
 
 ## Publications from the Community
-Pupil Labs products are being used in various areas of academic research and hundreds of publications have been made with them. You can find a list containing many of the existing publications [here](https://pupil-labs.com/publications/).
+Pupil Labs products are being used in various areas of academic research and hundreds of publications have been made with them. You can find a list containing most of the existing publications [here](https://pupil-labs.com/publications/).
 
+If you are using **Pupil Invisible** in your own research, please cite the following paper in your publications!
 
-We are currently in the process of writing a white paper on **Neon**. Once it is done we would kindly ask you to cite it in your publications if you are using Neon in your research. Until the white paper is ready, please cite product page on the website:
-[https://pupil-labs.com/products/neon/](https://pupil-labs.com/products/neon/)
+[*A High-Level Description and Performance Evaluation of Pupil Invisible* ](https://arxiv.org/pdf/2009.00508.pdf)
 
-::: tip
-When citing Pupil Neon in your publications, you may want to report the neural network version you are using. You can find this information in the [info.json](/export-formats/recording-data/neon/#info-json) file, under pipeline_version.
-:::
+> BibTeX Style Citation
 
-For guidance on citing **Pupil Invisible** please see [here](/invisible/publications) and for **Pupil Core** see [here](/core/academic-citation).
+```
+@article{tonsen2020high,
+  title={A High-Level Description and Performance Evaluation of Pupil Invisible},
+  author={Tonsen, Marc and Baumann, Chris Kay and Dierkes, Kai},
+  journal={arXiv preprint arXiv:2009.00508},
+  year={2020}
+}
+```
 
 ## Publications from Pupil Labs
 Pupil Labs has published several papers including white papers as well as peer-reviewed papers on eye tracking algorithms. Below they are listed chronologically:
diff --git a/src/media/enrichments/face_mapper_header.png b/invisible/pupil-cloud/enrichments/face-mapper/face_mapper_header.png
similarity index 100%
rename from src/media/enrichments/face_mapper_header.png
rename to invisible/pupil-cloud/enrichments/face-mapper/face_mapper_header.png
diff --git a/invisible/pupil-cloud/enrichments/face-mapper/index.md b/invisible/pupil-cloud/enrichments/face-mapper/index.md
new file mode 100644
index 000000000..b2e83e541
--- /dev/null
+++ b/invisible/pupil-cloud/enrichments/face-mapper/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../../neon/pupil-cloud/enrichments/face-mapper/index.md-->
diff --git a/invisible/pupil-cloud/enrichments/index.md b/invisible/pupil-cloud/enrichments/index.md
new file mode 100644
index 000000000..dc1d84cbb
--- /dev/null
+++ b/invisible/pupil-cloud/enrichments/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../neon/pupil-cloud/enrichments/index.md-->
diff --git a/invisible/pupil-cloud/enrichments/marker-mapper/apriltags_tag36h11_0-23.jpg b/invisible/pupil-cloud/enrichments/marker-mapper/apriltags_tag36h11_0-23.jpg
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diff --git a/invisible/pupil-cloud/enrichments/marker-mapper/apriltags_tag36h11_24-47.jpg b/invisible/pupil-cloud/enrichments/marker-mapper/apriltags_tag36h11_24-47.jpg
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diff --git a/invisible/pupil-cloud/enrichments/marker-mapper/index.md b/invisible/pupil-cloud/enrichments/marker-mapper/index.md
new file mode 100644
index 000000000..48bc45759
--- /dev/null
+++ b/invisible/pupil-cloud/enrichments/marker-mapper/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../../neon/pupil-cloud/enrichments/marker-mapper/index.md-->
diff --git a/src/media/enrichments/marker_mapper_additional.png b/invisible/pupil-cloud/enrichments/marker-mapper/marker_mapper_additional.png
similarity index 100%
rename from src/media/enrichments/marker_mapper_additional.png
rename to invisible/pupil-cloud/enrichments/marker-mapper/marker_mapper_additional.png
diff --git a/src/media/enrichments/marker_mapper_header.png b/invisible/pupil-cloud/enrichments/marker-mapper/marker_mapper_header.png
similarity index 100%
rename from src/media/enrichments/marker_mapper_header.png
rename to invisible/pupil-cloud/enrichments/marker-mapper/marker_mapper_header.png
diff --git a/src/media/enrichments/rim/basketball-img.jpg b/invisible/pupil-cloud/enrichments/reference-image-mapper/basketball-img.jpg
similarity index 100%
rename from src/media/enrichments/rim/basketball-img.jpg
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/basketball-img.jpg
diff --git a/src/media/enrichments/rim/basketball-occlusion.png b/invisible/pupil-cloud/enrichments/reference-image-mapper/basketball-occlusion.png
similarity index 100%
rename from src/media/enrichments/rim/basketball-occlusion.png
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/basketball-occlusion.png
diff --git a/src/media/enrichments/rim/building-img.jpg b/invisible/pupil-cloud/enrichments/reference-image-mapper/building-img.jpg
similarity index 100%
rename from src/media/enrichments/rim/building-img.jpg
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/building-img.jpg
diff --git a/src/media/enrichments/rim/heatmap-0.jpg b/invisible/pupil-cloud/enrichments/reference-image-mapper/heatmap-0.jpg
similarity index 100%
rename from src/media/enrichments/rim/heatmap-0.jpg
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/heatmap-0.jpg
diff --git a/src/media/enrichments/rim/heatmap-1.jpg b/invisible/pupil-cloud/enrichments/reference-image-mapper/heatmap-1.jpg
similarity index 100%
rename from src/media/enrichments/rim/heatmap-1.jpg
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/heatmap-1.jpg
diff --git a/src/media/enrichments/rim/heatmap-2.jpg b/invisible/pupil-cloud/enrichments/reference-image-mapper/heatmap-2.jpg
similarity index 100%
rename from src/media/enrichments/rim/heatmap-2.jpg
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/heatmap-2.jpg
diff --git a/src/media/enrichments/rim/heatmap-3.jpg b/invisible/pupil-cloud/enrichments/reference-image-mapper/heatmap-3.jpg
similarity index 100%
rename from src/media/enrichments/rim/heatmap-3.jpg
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/heatmap-3.jpg
diff --git a/invisible/pupil-cloud/enrichments/reference-image-mapper/index.md b/invisible/pupil-cloud/enrichments/reference-image-mapper/index.md
new file mode 100644
index 000000000..6ebac0d5d
--- /dev/null
+++ b/invisible/pupil-cloud/enrichments/reference-image-mapper/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../../neon/pupil-cloud/enrichments/reference-image-mapper/index.md-->
diff --git a/src/media/enrichments/rim/magazine-img.jpg b/invisible/pupil-cloud/enrichments/reference-image-mapper/magazine-img.jpg
similarity index 100%
rename from src/media/enrichments/rim/magazine-img.jpg
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/magazine-img.jpg
diff --git a/src/media/enrichments/rim/reference_image_mapper_header.png b/invisible/pupil-cloud/enrichments/reference-image-mapper/reference_image_mapper_header.png
similarity index 100%
rename from src/media/enrichments/rim/reference_image_mapper_header.png
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/reference_image_mapper_header.png
diff --git a/src/media/enrichments/rim/rim-in-cloud.png b/invisible/pupil-cloud/enrichments/reference-image-mapper/rim-in-cloud.png
similarity index 100%
rename from src/media/enrichments/rim/rim-in-cloud.png
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/rim-in-cloud.png
diff --git a/src/media/enrichments/rim/supermarket-img.jpg b/invisible/pupil-cloud/enrichments/reference-image-mapper/supermarket-img.jpg
similarity index 100%
rename from src/media/enrichments/rim/supermarket-img.jpg
rename to invisible/pupil-cloud/enrichments/reference-image-mapper/supermarket-img.jpg
diff --git a/invisible/pupil-cloud/hero.webp b/invisible/pupil-cloud/hero.webp
new file mode 100644
index 000000000..274fecfb3
Binary files /dev/null and b/invisible/pupil-cloud/hero.webp differ
diff --git a/invisible/pupil-cloud/index.md b/invisible/pupil-cloud/index.md
new file mode 100644
index 000000000..6f8fb53fc
--- /dev/null
+++ b/invisible/pupil-cloud/index.md
@@ -0,0 +1,13 @@
+---
+aside: false
+---
+
+# Pupil Cloud
+
+<img src="./hero.webp" style="max-width: 500px; width: 100%; height: auto; margin: auto; padding: 24px 0;">
+
+[Pupil Cloud](https://cloud.pupil-labs.com) is a web-based eye tracking platform for data logistics, analysis, and visualization. It is the recommended tool for processing your Neon recordings. It makes it easy to store all your data securely in one place and it offers a variety of options for analysis.
+
+If Cloud upload is enabled in the Neon Companion app, then all recordings will be uploaded automatically to Pupil Cloud.
+
+We have a strict privacy policy that ensures your recording data is accessible only by you and those you explicitly grant access to. Pupil Labs will never access your recording data unless you explicitly instruct us to.
diff --git a/invisible/pupil-cloud/projects/index.md b/invisible/pupil-cloud/projects/index.md
new file mode 100644
index 000000000..c5f175e8b
--- /dev/null
+++ b/invisible/pupil-cloud/projects/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../neon/pupil-cloud/projects/index.md-->
diff --git a/invisible/pupil-cloud/tutorials/index.md b/invisible/pupil-cloud/tutorials/index.md
new file mode 100644
index 000000000..b273b1189
--- /dev/null
+++ b/invisible/pupil-cloud/tutorials/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../neon/pupil-cloud/tutorials/index.md-->
diff --git a/invisible/pupil-cloud/visualizations/areas-of-interest/index.md b/invisible/pupil-cloud/visualizations/areas-of-interest/index.md
new file mode 100644
index 000000000..be2011e14
--- /dev/null
+++ b/invisible/pupil-cloud/visualizations/areas-of-interest/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../../neon/pupil-cloud/visualizations/areas-of-interest/index.md-->
diff --git a/invisible/pupil-cloud/visualizations/heatmap/index.md b/invisible/pupil-cloud/visualizations/heatmap/index.md
new file mode 100644
index 000000000..b23f723c0
--- /dev/null
+++ b/invisible/pupil-cloud/visualizations/heatmap/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../../neon/pupil-cloud/visualizations/heatmap/index.md-->
diff --git a/invisible/pupil-cloud/visualizations/video-renderer/index.md b/invisible/pupil-cloud/visualizations/video-renderer/index.md
new file mode 100644
index 000000000..b80fb2cfd
--- /dev/null
+++ b/invisible/pupil-cloud/visualizations/video-renderer/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../../neon/pupil-cloud/visualizations/video-renderer/index.md-->
diff --git a/src/media/enrichments/gaze_overlay_header.png b/invisible/pupil-cloud/visualizations/video-renderer/video_renderer_header.png
similarity index 100%
rename from src/media/enrichments/gaze_overlay_header.png
rename to invisible/pupil-cloud/visualizations/video-renderer/video_renderer_header.png
diff --git a/invisible/pupil-cloud/workspaces/index.md b/invisible/pupil-cloud/workspaces/index.md
new file mode 100644
index 000000000..f3c2df0b0
--- /dev/null
+++ b/invisible/pupil-cloud/workspaces/index.md
@@ -0,0 +1 @@
+<!--@include: ../../../neon/pupil-cloud/workspaces/index.md-->
diff --git a/src/invisible/real-time-api/legacy-api.md b/invisible/real-time-api/legacy-api/index.md
similarity index 96%
rename from src/invisible/real-time-api/legacy-api.md
rename to invisible/real-time-api/legacy-api/index.md
index 5cb099509..dc5119fcb 100644
--- a/src/invisible/real-time-api/legacy-api.md
+++ b/invisible/real-time-api/legacy-api/index.md
@@ -1,15 +1,7 @@
----
-permalink: /invisible/real-time-api/legacy-api
-description: Guide on using the now deprecated real-time API called NDSI.
----
-
 # Legacy API
 
 :::danger
-<v-icon large color="gray">info_outline</v-icon>
-
-Our previous real-time API called NDSI is now deprecated! We recommend using the new real-time API client introduced [here](/invisible/real-time-api/introduction/).
-
+Our previous real-time API called NDSI is now deprecated! We recommend using the new real-time API client introduced [here](/real-time-api/tutorials/).
 :::
 
 Pupil Invisible Companion app uses
@@ -119,7 +111,7 @@ main()  # Execute example
 Starting and stopping recordings on Pupil Invisible Companion App can be controlled remotely by another device that is in the same network and follows the NDSI v4 protocol.
 
 
- - The Pupil Invisible Companion App has to be ready for recording and the active [template](/invisible/basic-concepts/recordings-wearers-and-templates/#templates) must have no required fields to avoid incomplete templates or force input on the remotely controlled phone.
+ - The Pupil Invisible Companion App has to be ready for recording and the active [template](/data-collection/templates/) must have no required fields to avoid incomplete templates or force input on the remotely controlled phone.
  - The remote device can set the `local_capture` control of the hardware sensor after attaching to it, to start and stop a recording, see the example below for more details.
 
 ```py
@@ -374,4 +366,4 @@ def on_network_event(network, event):
 
 if __name__ == "__main__":
     main()  # Execute example
-```
+```
\ No newline at end of file
diff --git a/src/media/invisible/how-tos/barplot-matlab-pi-cloud.jpg b/invisible/real-time-api/track-your-experiment-in-matlab/barplot-matlab-pi-cloud.jpg
similarity index 100%
rename from src/media/invisible/how-tos/barplot-matlab-pi-cloud.jpg
rename to invisible/real-time-api/track-your-experiment-in-matlab/barplot-matlab-pi-cloud.jpg
diff --git a/src/invisible/real-time-api/track-your-experiment-in-matlab.md b/invisible/real-time-api/track-your-experiment-in-matlab/index.md
similarity index 83%
rename from src/invisible/real-time-api/track-your-experiment-in-matlab.md
rename to invisible/real-time-api/track-your-experiment-in-matlab/index.md
index 4ceb6cad2..961baa813 100644
--- a/src/invisible/real-time-api/track-your-experiment-in-matlab.md
+++ b/invisible/real-time-api/track-your-experiment-in-matlab/index.md
@@ -1,20 +1,15 @@
----
-permalink: /invisible/real-time-api/track-your-experiment-in-matlab
-description: A simple guide on how to build experiments in Matlab
----
-
 # Track your experiment in MATLAB
 
 MATLAB is often used by researchers to build eye tracking experiments, such as tracking how long participants look at stimuli presented on a computer screen.
 
 When working with head-mounted eye trackers like Pupil Invisible, it can be useful to synchronize stimuli presentation with the eye tracking recording. This enables you to, a) keep track of when a stimulus is shown, and b) segment the eye tracking data accordingly.
 
-In this guide, we will build a simple MATLAB experiment. The experiment will show you how to automatically and conveniently track stimulus presentation as part of your eye tracking recording using [events](/invisible/basic-concepts/events) and [Pupil Invisible's real-time API](/invisible/real-time-api/introduction). Finally, you will see how those events enable the segmentation of eye tracking data per stimulus during the analysis.
+In this guide, we will build a simple MATLAB experiment. The experiment will show you how to automatically and conveniently track stimulus presentation as part of your eye tracking recording using [events](/data-collection/events/) and [Pupil Invisible's real-time API](/real-time-api/tutorials/). Finally, you will see how those events enable the segmentation of eye tracking data per stimulus during the analysis.
 
-While MATLAB is not officially supported by [Pupil Invisible's real-time API](/invisible/real-time-api/introduction), we have created a simple wrapper to enable some of the available functions required for this application.
+While MATLAB is not officially supported by [Pupil Invisible's real-time API](/real-time-api/tutorials/), we have created a simple wrapper to enable some of the available functions required for this application.
 
 ::: tip
-A similar guide for tracking an experiment in Python can be found [here](/invisible/real-time-api/track-your-experiment-progress-using-events).
+A similar guide for tracking an experiment in Python can be found [here](/real-time-api/track-your-experiment-progress-using-events/).
 :::
 
 ## Requirements
@@ -40,7 +35,7 @@ Before we dig into how to run the demo and the wrapper, you will need to underst
 
 Events are essentially timestamps within a recording that have been marked with a name. In this demo, we need to track when a specific image is shown during a recording to associate the fixation data with that image. Thus, we will create an event at the start and end of each image presentation to mark this section.
 
-Events can be created post-hoc in the project editor or at recording time using either the [real-time API](/invisible/real-time-api/introduction) or [Pupil Invisible Monitor](/invisible/how-tos/data-collection-with-the-companion-app/monitor-your-data-collection-in-real-time.html). In this example, we are interested in fully automating the event creation within MATLAB. Still, depending on your use case, you could use either of those methods.
+Events can be created post-hoc in the project editor or at recording time using either the [real-time API](/real-time-api/tutorials/) or the [Monitor app](/data-collection/monitor-app/). In this example, we are interested in fully automating the event creation within MATLAB. Still, depending on your use case, you could use either of those methods.
 
 ## Running the demo
 
@@ -100,13 +95,7 @@ pupil_labs_realtime_api('Command', 'cancel');
 That is all we have to do during data collection. Once all recordings have been uploaded to Pupil Cloud, we create a
 project to export them using the "Downloads" view. Within the project editor, we can already see the events in every recording.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/how-tos/screenshot-matlab-pi-cloud.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Screenshot Pupil Cloud](./screenshot-matlab-pi-cloud.jpg)
 
 ## Analysing the data
 
@@ -140,13 +129,7 @@ xlabel('Image'); ylabel(['Number of fixations', newline]);
 title(['Fixations per image - PI', newline]);
 ```
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/how-tos/barplot-matlab-pi-cloud.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Barplot in Matlab](./barplot-matlab-pi-cloud.jpg)
 
 ## Can I run the wrapper alone?
 
@@ -167,12 +150,10 @@ Several arguments can be used to control the wrapper:
 ## Notes and disclaimers
 
 :::tip
-<v-icon large color="info">info_outline</v-icon>
 The current wrapper function does not support RTSP protocol. Therefore it is not possible to stream video or gaze positions. If you need this feature, please directly use the [Realtime Network API](https://pupil-labs-realtime-api.readthedocs.io/en/stable/guides/under-the-hood.html?highlight=RTSP).
 :::
 
 ::: warning
-<v-icon large color="warning">timer</v-icon>
 The average response time for HTTP requests to Pupil Invisible in MATLAB is 0.33 +- 0.14 seconds (on a 1000 requests test).
 This time might vary depending on your connection and computer load. If you need better time accuracy, check out our
 [Python API](https://pupil-labs-realtime-api.readthedocs.io/en/stable/examples/index.html).
diff --git a/src/media/invisible/how-tos/screenshot-matlab-pi-cloud.jpg b/invisible/real-time-api/track-your-experiment-in-matlab/screenshot-matlab-pi-cloud.jpg
similarity index 100%
rename from src/media/invisible/how-tos/screenshot-matlab-pi-cloud.jpg
rename to invisible/real-time-api/track-your-experiment-in-matlab/screenshot-matlab-pi-cloud.jpg
diff --git a/invisible/real-time-api/track-your-experiment-progress-using-events/index.md b/invisible/real-time-api/track-your-experiment-progress-using-events/index.md
new file mode 100644
index 000000000..9855aa067
--- /dev/null
+++ b/invisible/real-time-api/track-your-experiment-progress-using-events/index.md
@@ -0,0 +1,378 @@
+# Track Your Experiment Progress Using Events
+Running a data collection for an experiment can be an organizational challenge. Many experiments are running through different phases and keeping track of what data belongs to what phase can be one of the difficulties.
+
+Using [events](/data-collection/events/), tracking the progress of an experiment becomes very easy and can often be fully automated though.
+
+In this guide, we will demonstrate how to save events at recording time and how to utilize them later during analysis to easily keep track of what phase a certain section of data was recorded in.
+
+To this end we are assuming a minimal experiment setup: we want to record subjects while they observe a series of images of animals and analyze how the average fixation duration differs for each image.
+
+::: tip
+You can download the example data used in this guide [here](https://drive.google.com/file/d/1O-HJJbJWRBgcZS1sowCX2srmME5hTub0/view?usp=sharing).
+:::
+
+## How To Use Events To Keep Track?
+Events are essentially timestamps within a recording that have been marked with a name. We need to keep track of when a specific image is shown during a recording, so we can associate the according fixation data with that image. Thus, we will create an event at the start and end of each image presentation to mark this section.
+
+Events can either be created post hoc in the project editor, or at recording time using either the [real-time API](/real-time-api/tutorials/) or the [Pupil Invisible Monitor](/data-collection/monitor-app/) app. In this example, we are interested in fully automating the event creation and will thus use the real-time API to save events, but depending on your use case you could use either of those methods.
+
+## Implementation
+The implementation of stimulus presentation is minimal. The images are loaded using OpenCV and are displayed in a full-screen window for a fixed amount of time.
+
+
+```python
+import time
+import cv2
+
+image_names = ["owl", "fox", "deer"]
+
+def prepare_stimulus_presentation():
+    cv2.namedWindow("Stimulus", cv2.WINDOW_NORMAL)
+    cv2.setWindowProperty("Stimulus", cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
+
+def present_stimulus(img):
+    presentation_time = 5
+    start_time = time.perf_counter()
+    while time.perf_counter() - start_time < presentation_time:
+        cv2.imshow("Stimulus", img)
+        cv2.waitKey(1)
+
+def cleanup_stimulus_presentation():
+    cv2.destroyAllWindows()
+    
+```
+
+Using the real-time API, we now have to connect to a Pupil Invisible device for recording. We can remotely start the recording and save events before and after the stimulus presentation. The names of the events are chosen as `<animal name>_start` and `<animal name>_end` depending on the animal that is shown.
+
+Once all images have been shown, the recording is stopped remotely.
+
+
+```python
+# The 2 lines below are only needed when accessing 
+# the real-time API from a Jupyter notebook
+import nest_asyncio
+nest_asyncio.apply()
+
+from pupil_labs.realtime_api.simple import discover_one_device
+
+device = discover_one_device()
+device.recording_start()
+
+# Wait for a couple seconds before starting
+# to give all sensors enough time to initialize
+time.sleep(3)
+
+prepare_stimulus_presentation()
+
+for name in image_names:
+    img = cv2.imread(name + ".jpg")
+
+    device.send_event(name + "_start")
+    present_stimulus(img)    
+    device.send_event(name + "_end")
+
+cleanup_stimulus_presentation()
+device.recording_stop_and_save()
+```
+
+That is all we have to do during data collection. Once the recordings have been uploaded to Pupil Cloud we can already see the events in the timeline for every recording. Next, export the timeseries data of all recordings from Pupil Cloud.
+
+
+```python
+import pandas as pd
+events = pd.read_csv("raw-data-export/george-49e4a972/events.csv")
+events
+```
+
+<div>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>recording id</th>
+      <th>timestamp [ns]</th>
+      <th>name</th>
+      <th>type</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417853032000000</td>
+      <td>recording.begin</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417856195000000</td>
+      <td>owl_start</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417861273000000</td>
+      <td>owl_end</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417861399000000</td>
+      <td>fox_start</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417866475000000</td>
+      <td>fox_end</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>5</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417866613000000</td>
+      <td>deer_start</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>6</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417872348000000</td>
+      <td>deer_end</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417872441000000</td>
+      <td>recording.end</td>
+      <td>recording</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+
+
+
+```python
+fixations = pd.read_csv("raw-data-export/george-49e4a972/fixations.csv")
+fixations.head()
+```
+
+
+
+
+<div>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>section id</th>
+      <th>recording id</th>
+      <th>fixation id</th>
+      <th>start timestamp [ns]</th>
+      <th>end timestamp [ns]</th>
+      <th>duration [ms]</th>
+      <th>fixation x [px]</th>
+      <th>fixation y [px]</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1</td>
+      <td>1644417853698031394</td>
+      <td>1644417853910023394</td>
+      <td>211</td>
+      <td>651.751</td>
+      <td>731.750</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>2</td>
+      <td>1644417853978009394</td>
+      <td>1644417854338008394</td>
+      <td>359</td>
+      <td>528.268</td>
+      <td>881.095</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>3</td>
+      <td>1644417854410160394</td>
+      <td>1644417856542104394</td>
+      <td>2131</td>
+      <td>655.423</td>
+      <td>668.033</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>4</td>
+      <td>1644417856590003394</td>
+      <td>1644417857238017394</td>
+      <td>648</td>
+      <td>523.187</td>
+      <td>677.434</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>5</td>
+      <td>1644417857298000394</td>
+      <td>1644417858693973394</td>
+      <td>1395</td>
+      <td>772.743</td>
+      <td>640.843</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+
+
+We can now simply iterate through the recordings and filter the fixation data using the start and end timestamps, to calculate the average number of fixations for every image and subject.
+
+
+```python
+import os
+import json
+
+export_folder = "raw-data-export/"
+
+results = pd.DataFrame(columns=image_names)
+
+for f in os.listdir(export_folder):
+    rec_folder = os.path.join(export_folder, f)
+    if not os.path.isdir(rec_folder):
+        continue
+    
+    # Read all relevant files
+    info_path = os.path.join(rec_folder, "info.json")
+    with open(info_path) as info:
+        rec_name = json.load(info)["template_data"]["recording_name"]
+
+    events_path = os.path.join(rec_folder, "events.csv")
+    events = pd.read_csv(events_path)
+
+    fixations_path = os.path.join(rec_folder, "fixations.csv")
+    fixations = pd.read_csv(fixations_path)
+
+    # Calculate average fixation duration per recording and image
+    for name in image_names:
+        start_event = events[events["name"] == name + "_start"]
+        start_timestamp = start_event["timestamp [ns]"].values[0]
+        
+        end_event = events[events["name"] == name + "_end"]
+        end_timestamp = end_event["timestamp [ns]"].values[0]
+
+        condition = (fixations["start timestamp [ns]"] >= start_timestamp) & (fixations["end timestamp [ns]"] <= end_timestamp)
+        image_fixations = fixations[condition]
+
+        results.loc[rec_name, name] = len(image_fixations["duration [ms]"])
+
+results.loc["Mean"] = results.mean()
+
+results
+```
+
+
+
+
+<div>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>owl</th>
+      <th>fox</th>
+      <th>deer</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>George</th>
+      <td>7</td>
+      <td>10</td>
+      <td>9</td>
+    </tr>
+    <tr>
+      <th>Jane</th>
+      <td>7</td>
+      <td>5</td>
+      <td>10</td>
+    </tr>
+    <tr>
+      <th>John</th>
+      <td>10</td>
+      <td>7</td>
+      <td>7</td>
+    </tr>
+    <tr>
+      <th>Lisa</th>
+      <td>5</td>
+      <td>7</td>
+      <td>9</td>
+    </tr>
+    <tr>
+      <th>Steve</th>
+      <td>7</td>
+      <td>8</td>
+      <td>11</td>
+    </tr>
+    <tr>
+      <th>Mean</th>
+      <td>7.2</td>
+      <td>7.4</td>
+      <td>9.2</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+
+
+Visualized as a bar chart it looks as follows:
+
+
+```python
+import matplotlib.pyplot as plt
+
+plt.figure(figsize=(10, 5))
+
+for idx, name in enumerate(image_names):
+    plt.bar(idx, results.loc["Mean", name])
+
+plt.xticks(range(len(image_names)), image_names)
+plt.xlabel("Image")
+plt.ylabel("Number of Fixations")
+```
+
+
+
+
+    Text(0, 0.5, 'Number of Fixations')
+
+
+
+
+    
+![png](data:image/png;base64,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)
+    
+
+
+## Conclusion
+In this guide, you saw how to use events to track the progress of an experiment. Note that this approach can be generalized to much more complex setups.
diff --git a/src/invisible/real-time-api/introduction/.gitignore b/invisible/real-time-api/tutorials/.gitignore
similarity index 100%
rename from src/invisible/real-time-api/introduction/.gitignore
rename to invisible/real-time-api/tutorials/.gitignore
diff --git a/invisible/real-time-api/tutorials/README.ipynb b/invisible/real-time-api/tutorials/README.ipynb
new file mode 100644
index 000000000..e32259d06
--- /dev/null
+++ b/invisible/real-time-api/tutorials/README.ipynb
@@ -0,0 +1,483 @@
+{
+  "cells": [
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "---\n",
+        "permalink: /neon/real-time-api/introduction\n",
+        "description: Beginner guide on using the real-time API client to remote control Neon devices and stream data.\n",
+        "isNotebook: true\n",
+        "---\n",
+        "\n",
+        "# Introduction\n",
+        "For some applications it is critical to have access to eye tracking data in real time. Imagine for example an application utilizing gaze interaction to allow users to press a button using only their eyes.\n",
+        "\n",
+        "In other cases it may be important to automatically start or stop a recording and save [events](/neon/basic-concepts/events/). For example, you might want to launch a screen-based experiment and have the recording start automatically when the stimulus presentation begins. Additionally, you might want to save the timestamps of when the subject interacted with the screen.\n",
+        "\n",
+        "All of this is possible for developers using the [Realtime Network API](https://github.com/pupil-labs/realtime-network-api). It allows you to stream scene video, gaze, and IMU data to any device connected to the same local network. Further, you can control all devices remotely to start and stop recordings or save events.\n",
+        "\n",
+        "If you are not a developer and simply need a tool to monitor and control all your devices in real-time, check out [Neon Monitor](/neon/how-tos/data-collection/monitor-your-data-collection-in-real-time.html).\n",
+        "\n",
+        "We have created a Python client library for the API that makes it very easy to use. If you require access to the API from a different programming language, you will have to write your own client. Please see the documentation [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/guides/under-the-hood.html).\n",
+        "\n",
+        "To install the client library execute the following command in a terminal:\n",
+        "\n",
+        "```\n",
+        "pip install pupil-labs-realtime-api\n",
+        "```"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Using the Client Library\n",
+        "The client comes in two modes, `simple` and `async`. The simple mode is very easy to use and is the one we will focus on in this tutorial.\n",
+        "\n",
+        "::: tip\n",
+        "You can download the code for this guide [here](https://github.com/pupil-labs/pupil-docs/tree/master/src/neon/real-time-api/introduction).\n",
+        ":::\n",
+        "\n",
+        "The async mode is using Python's [asyncio](https://docs.python.org/3/library/asyncio.html) in order to implement non-blocking asynchronous communication. The calls made using the simple mode are blocking. If you don't know what any of this means, that's okay! The simple mode suffices for most use-cases and you usually do not need to understand the differences!\n",
+        "\n",
+        "The simple client is located in [`pupil_labs.realtime_api.simple`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#simple-api). Using the [`discover_one_device`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.discover_one_device) function, we can connect to a Neon device connected to your local network. Make sure the Neon Companion app is running! If no device can be found, please check [this section](/neon/troubleshooting/#i-can-not-connect-to-devices-using-the-real-time-api) in our troubleshooting area! "
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# The two lines below are only needed to execute this code in a Jupyter Notebook\n",
+        "import nest_asyncio\n",
+        "nest_asyncio.apply()\n",
+        "\n",
+        "from pupil_labs.realtime_api.simple import discover_one_device\n",
+        "device = discover_one_device()"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "With the device connected, you can check various properties of the Companion device and the Neon:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Phone IP address: 192.168.20.69\n",
+            "Phone name: Neon Companion\n",
+            "Battery level: 58%\n",
+            "Free storage: 30.5 GB\n",
+            "Serial number of connected glasses: 676789\n"
+          ]
+        }
+      ],
+      "source": [
+        "print(f\"Phone IP address: {device.phone_ip}\")\n",
+        "print(f\"Phone name: {device.phone_name}\")\n",
+        "print(f\"Battery level: {device.battery_level_percent}%\")\n",
+        "print(f\"Free storage: {device.memory_num_free_bytes / 1024**3:.1f} GB\")\n",
+        "print(f\"Serial number of connected glasses: {device.module_serial}\")"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Remote Control of Neon Devices\n",
+        "Use the [`recording_start`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.recording_start)\n",
+        "and [`recording_stop_and_save`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.recording_stop_and_save)\n",
+        "methods to remotely start and stop recordings."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 15,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Started recording with id 2f99d9f9-f009-4015-97dd-eb253de443b0\n"
+          ]
+        }
+      ],
+      "source": [
+        "import time\n",
+        "\n",
+        "recording_id = device.recording_start()\n",
+        "print(f\"Started recording with id {recording_id}\")\n",
+        "\n",
+        "time.sleep(5)\n",
+        "\n",
+        "device.recording_stop_and_save()"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "While a recording is running, you can save [events](https://docs.pupil-labs.com/neon/data-collection/events/)\n",
+        "using the [`send_event`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.send_event) method.\n",
+        "By default, the Neon device receiving the event will assign a timestamp to it,\n",
+        "using the time of arrival. Optionally, you can set a custom nanosecond timestamp for your event instead."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Event(name=None recording_id=None timestamp_unix_ns=1642599117043000000 datetime=2022-01-19 14:31:57.043000)\n",
+            "Event(name=None recording_id=fd8c98ca-cd6c-4d3f-9a05-fbdb0ef42668 timestamp_unix_ns=1642599122555200500 datetime=2022-01-19 14:32:02.555201)\n"
+          ]
+        }
+      ],
+      "source": [
+        "device.recording_start()\n",
+        "\n",
+        "print(device.send_event(\"test event 1\"))\n",
+        "\n",
+        "time.sleep(5)\n",
+        "\n",
+        "# send event with current timestamp\n",
+        "print(device.send_event(\"test event 2\", event_timestamp_unix_ns=time.time_ns()))\n",
+        "\n",
+        "device.recording_stop_and_save()"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Streaming Scene Video and Gaze Data\n",
+        "You can receive the current scene camera frame using the\n",
+        "[`receive_scene_video_frame`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_scene_video_frame) method.\n",
+        "Additionally, this method returns the UTC timestamp of the frame in seconds.\n",
+        "The image's color space is BGR."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "This scene camera image was recorded at 2023-05-25 13:59:58.347051\n"
+          ]
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 720x720 with 1 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "from datetime import datetime\n",
+        "import matplotlib.pyplot as plt\n",
+        "import cv2\n",
+        "\n",
+        "eye_sample = device.receive_scene_video_frame()\n",
+        "\n",
+        "dt = datetime.fromtimestamp(eye_sample.timestamp_unix_seconds)\n",
+        "print(f\"This scene camera image was recorded at {dt}\")\n",
+        "\n",
+        "# matplotlib expects images to be in RGB rather than BGR.\n",
+        "# Thus we use OpenCv to convert color spaces.\n",
+        "eye_image_rgb = cv2.cvtColor(eye_sample.bgr_pixels, cv2.COLOR_BGR2RGB)\n",
+        "\n",
+        "plt.figure(figsize=(10, 10))\n",
+        "plt.imshow(eye_image_rgb)\n",
+        "plt.axis(\"off\");"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Analogously, you can receive gaze data using the [`receive_gaze_datum`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_gaze_datum) method,\n",
+        "which returns a quadruple of x- and y-coordinate, a boolean whether the glasses are being worn,\n",
+        "and a timestamp. The timestamp is again a UTC timestamp in seconds."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 4,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "This gaze sample was recorded at 2023-05-25 13:59:58.776933\n"
+          ]
+        },
+        {
+          "data": {
+            "text/plain": [
+              "(1200.0, 0.0)"
+            ]
+          },
+          "execution_count": 4,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 720x720 with 1 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "gaze_sample = device.receive_gaze_datum()\n",
+        "\n",
+        "dt = datetime.fromtimestamp(gaze_sample.timestamp_unix_seconds)\n",
+        "print(f\"This gaze sample was recorded at {dt}\")\n",
+        "\n",
+        "plt.figure(figsize=(10, 10))\n",
+        "plt.scatter(gaze_sample.x, gaze_sample.y, s=2000, facecolors='none', edgecolors='r')\n",
+        "plt.xlim(0, 1600)\n",
+        "plt.ylim(1200, 0)"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "If you tried to correlate the scene video and gaze data to e.g. make a gaze overlay visualization, you might find that there is small temporal misalignment if you simply use the most recent data.\n",
+        "This is because the gaze data is much smaller and is transferred more quickly. When plotting the most recent samples, the scene video would lag slightly behind.\n",
+        "\n",
+        "To compensate for this you need to align the incoming data based on it's timestamps.\n",
+        "The client library contains a method [`receive_matched_scene_video_frame_and_gaze`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_matched_scene_video_frame_and_gaze) to do all of this automatically.\n",
+        "It returns the most recent pair of scene video and gaze data that matches temporally."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 9,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "This gaze sample was recorded at 2023-05-25 14:00:46.761394\n",
+            "This scene video was recorded at 2023-05-25 14:00:46.760916\n",
+            "Temporal difference between both is 0.5 ms\n"
+          ]
+        },
+        {
+          "data": {
+            "image/png": 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n8CHDAP1yRuBBRhUgERpDwPHxMQ6PjpJXEUXbGlGFCIsgYYUa1gAR+TERLEXX5kVElYHBRlzbfBD3dGPEyDUExny+wGKxwNHxCcqyxHA4FPBjbGSPuP1CyUIXsoa50BfbfrauC3X+UlcBEAPELSMpcdH2KfVFXXtwprYy1kS2xLZi44AAa1wDeqyL7nViDO5i3ByCaanAtH31b3lWAIaiARir9g/JGocRDdNC/BzVg5DIxnIfAocAQ8BkOMR0MsHOpS2MxwMUzuHzzeA8jfxLec4LuZAL+aKKLlGZyU7zRbYkGkZjuKwLZGR7VFtD6sCiJidRu8LsxRQigosQAkLUaPjawxrGYFjC+QLWlSBbCnBJce+iU01omCVZBw28c4B1UUMi6yvYw4DAUZVBqnmCACLRGMX1jjenCdoIeEIAPDOqymN2eozT01Pxs88YGkbuYtyhlYhAVsCBpQIMAkeLKWtkQc+NeLXxNdKiLvhV5VFVp5jN5jg8PMJoNMJ0MkFRFNE2JYIMMui8ZhDEk2zTup0HNFpFs5l9TOwMgT2WUXXlfQX2ARwgOanIAbYxupLggBaObJPmwUhobZg2m2Moy0WmLUKr4CxZxjeVlO+0s8brjdrjQKNRagwlQemWCMPhAJd2tjCdjDGdjMV26gsLcvr2OxdyIRdyIZ9/0VXDA6hYbHg8NH9WXCaU2ckuokgchAR65KRmf58BIgTJa5XW6CbMCqI5hTUMhFoMo2uGYYl2T2IUDFmZxEiGOUSKRLQ2BoRBWaAsJK/mYmmxjOYTwQdw0iQhMVQh2gWfJ2jwRsBTVQHz+Rynx8eYzU5aycMARM8gIyopVgDUBKojI7mtJIhgdFVnjegYsnQSPrmw1XWN2ot9uTIv+luCFUr8nqOjY4xGwvgMhwNY68Q9GwrCosJSP/eoMPobqDHnTQxJNETWmAK196hqL2G1A4NYokAbMjFwU7Qwj/FznGmrrBQMwaiqShgeIgKiGyDQ6Cg1VoGyQGQIAZJwTWMdkXbijPajBJjk3pqcbTQaYnd3G7uXtmM+sk8n+N+FXMiFXMiFfLrC2e/khh4/xz0wQkI9SA43LQ1WruHQb1NsNgAUyQn28L6KG/+QsgQwc1zjYo5HoxH8AjgswfCRkDAgsmDhZhCNZeRfaNYwQgBRgHMEQwU8AfVyCcmbHVfoUMcrQ0y4QGfuYzcCntPTOfb29rBYzEHM8DECMkWPKVYjmFYAoHbQolzvxs5JAMHhCMiQoUZZDiFguVyiqit4XyVAlOdlyt3YT09nOD0VW5/RaITxeCTgxxhEE2cAAX1ZtVU/KXWLlBgiAI22Pylcto9eV1WMCB0f1RCBjbiNG2PgouoOEZRYa1FYJ+qsrh1OjGLN8W/EgHwhtiVBcz0pKI/gR2zBJIplTPdhol5UdZtiayPdPzBQWIPxqMSlS9vY2Z5iNBxcgJwLuZALuZAviIT4U6EBPmh8VMTzKQCI6p+09sR1MCSYo1AoJESUa2K8ryWzurqVA8kpRpOJWyMxAmWzzSATovaicZRxZGBj3DzvY6JRAN4YhIg1xNGpBrOXspyVZTJ6lXH0CCuiN/N55EwvLWFmxMYGnlFzkApkDEVuVAvkahdkC3FkVKyDFUvh6L4tFFnwwpi4ooju65pyogE9ygDl6i5mRlVVEhPo5ATloMB0OsVwMIBzNrEcqzY8zeeonoxPrOxdSC+59j5mihXXbUMxu7ea/sb0Ds5aMAHWuSa1gyE4Y1sVMKDMwp3abQQplyMokoMEZoLnoAEUxB4H0SA89+AyUoqzFsOywJXLu9i9tIPh4ALkXMi/TMnTn+TzQOBGnf5xJb+eIGO2NcaafWDKhZdvQ+XPjiPA59ox4EL+UKLQRKMo+wbTpJ/oVAUOqpniZMOj0Y8R812R8iWZaisZLgdGCB7MHsFX4CBrkbU2RvfXDTrHNEYBRJLqkshGG1ZOG3gCJFacJcBZwQE1Y8lAHTxSzq3IIqFWbYo+vKyrTdLQ842YjYBnPB5gMLiOxWKBxXyB+ekMi8Ucta+kIWJuJ2NNZn+idjwxRkxiUiI1ofQZcbInsVxEdYsEJqqrBuzUXsBQXce8WzaCoeBjro6oeiIAHFAtljio9jEflNje2kY5GDRea1qVVpfBCoAK0e1OUawPgn/JkMQZSADDSv1NFjAwxg9StRXLu0mISpqAIvvWHBMVICGf6jiLj8BK7cSiUicDklGyMQbjmMbhxrUrGA7Klr3VhVzIZ0VUZQysUy0359S1BCrVwKW1bnwi89vYIzTxsYRybyZumbO4cXQgQrWsUNUazKxhfSnNZWdJzD2Unxw9M2XINx6V6lmaJahOqmYXN0dOk/12AA9nc2gzx+oOWpjksiiSN6icQSnNjPo0tGqednhq53chn0fJbXQCRzVWtObg0M6W0IAYXe/EtISgIUvUZ50R4ucQIqgPDI5xcwDJp2icTY44alZq4rqUB8dtcl6pFoWTo07uuRwMwzBQB4uKCMQBwrMI22N0rY9VN1bd34GzvLNUNgKee/ceoCwlF9L29hZGg2EyXPbex8A/TeLJxFLorodoJRaNSmuARUNgoAAXjKKo4aPVd11LkCJjKrHTcQ7L5SK+NC8UG0ucH88xwWlkPnwdEFyAsZJ1Nb8xRaVX3gF8aOskNcy27s50GjJG7WPyODeUknWS7ub0dgyB1FBWKG8EnbAVDAr9yKo+jB1VJjLNiE4oYsoGaw2KosDVy5dx7coljIaDhq26ADoX8geSrpejD41tnsbfAgCQGEeexHlksVigWi5lg5FHfEWcVrLFn5OdWgMo1tYjm3JyxjlNxDr248ajy7iuIJ4eTMa604plpsTA6kSgRaJJn9MO++VR+xqVaeYWVSrof/nnLuBJzxc3nmmu4rgIqKMCEaoMIFpj4KyTzaAxsJBNW1mWCSBRegdxPtO8fU2jXoCkz4BEX12k5Z7FFiZneHQNCdEtqglRIqiIouGwT2MvcxwKEl8uxLEsSgex1WmnM2JxEzfKcmq8ObGrpWx8MZFEam5WPgDi4FSAYDwDtThM2cCwPka1UQCPeJ9WAst26Jh1shHwbG1NcHBwhJOTY1iyKKKqxjkH55wm2JLEkmkiQVy7NRChshJNzJquSL0lYQYzIziXJsvCe/iqTgPW1zWKoojMSwVf15FuC3JOBAeNe3uc6GxkVKi5p/QDqaOva9Tep12h1rkLagDAOZcMp5KLnFqSx/fKza1EPZUeNl6Xdn6ISDoGZ4S6BGrC1Qh2OEjyViZQYFhnsL09xa2b17CzNf2jJeW8kC+e9DMu0WkgeAQfcDo7xbKqhHqOjIsmCQzMmM+XadMixv0e4rzggDg+c5u2xpAyGzgd5kQY0M2yDuTnT9SNqdV92r5j/TfO2Nh1LFU2l6Tf1P5ebRTzuucR4Mk00Kn3+SjugjnOR4nlkut8ZONBRq0zsPQ1lrMasBahqoHoHAJrZKMXI9/qLtw6i2FZxiTGkshY2ecEoIqiYfvXNNcFTPrkRFvSxT8Ywupo5GROPxy1IWL3max1GKAYTUdd0xMBoPYzgSPYgTjfGFmnFdAoACcKyWHHmCbnpmz+lWKUhThnMZNWI/brEDyq+RzzxQzLqoYPNYgCitJiUBTimU06bpowMDqOzoypxxvOOA6MygOLpcdstsDR4SlOjmdgDtLpnU06PAaSJxZ1klXKxzabsiJBbbVVTZUxL9GTK4SAUNWoqioaTknqBt1R1lV0heMAawjlYICiGIA62cNBQAg1vK8Sg5THFtL6EjQFfZP6IXfthqqmWvY3+c5OhNMkFSk5/UtRtA+pY6YXg2jlTjH+TgiYjMbY3bmES5cvYXd3G4NBkep6IRdyHsn7WDfliUY+nc1nOD49wXK5RKg9jNG4U5H6Dpzy3igtboyRnZxzcZFs0syEEEBqeEgWTKs6901zQw4GPm5fX3dd3/HzHnva+jTOCW3ReacFeDZM3H1tF+IiIPaFomZginNPtigA0SmYdKcNIAQJ2a/1Y6SI+Vqezmta1xCBLljIa4oqdVM4YbqzZzLGYFCWGBZlCsOhHru5M8fTtueFNBKxJyowlj5gWYcUQ48hQAIhgKL7tm6sZaMRz1FQxIzgxVhYknDFiP8kCaIb04rIssS1sg14kAEeE/ukAB4F0c7aSJgIwK+qGrPZDPOTGZaLZTJmLkuH0WgUPYpNZKvQaGI6P1++dXttO20EPCfcMBaBAe8Zy4oxn1c4OjzG6cksZjyXk4qyRFEWCfTkFHJzx/i557YBDKYsr0ek1HTHwrnhcrSx8XHS9j6Int4L/0XEcM7B2AJEJnmUKRNS+wWWy7lM6rnhYaRwQULFmRhLhzL9OqDsS9PZ9Jm6SSwImlLCRA8vHxkp2WvJAiJnElFK52CAqNMnlEWB7ekYz9y6jUu7OzD2wi7nQtrSN4x98KiqJY6OjoVlieO0rivUVYXj42PMl5IHz0XjPyYS6htRjcti05JCPaR7ZTGjGCBjQQgSTb2TpFYMDGoAgCa8TR6e7RP7poVWX++bSj6urB9D/UaQ/cc2AZOVI2kn3j6cq7SeXnIiX+cuAC17ISADPKpf0LpERhkRAGX78eQBmlRx0TOUm0JBTDAhLnzOJOZcn5l0HYAEQdXFlRgorIOzFsWghCWD0kq8FqMergqOOs14wRWtirY4M6MCcFoH1EGMgH3wCFUEPNHTmFnUWPIPEK/emP7J1yAwrCFYcslWx4AAConQ0FejrKiJqY5MAj6UzEGaFEnimk5GHNOXdYXlcinz0Wwm4VYCUDjxvh4Noy0q6/MhmYY0oK2R5y9fWdtGm720MvbVAiBHMJaiXU+JqgLqZYWTkzlOZidYVEuczE4AEAaDAQYDidabBgAh7fyQxhwlhBhTXyZ6DSzbB0oToYVFgSJjfnLD4rqqEKplSkRmDUCwspNBYzhIIJhQAFyDIK5yoJDluKLICCHlsjJk2y9XKWTdPcUOkGaLrPMJ9aYu7SFGmGSAQjqZJGyhGCKTgSscysKhLEvsTCconUMIot4zplhdKy7kX4hoPCoN1yABuWbzGY6PjnB8fATvPYw1CERY1hV8HSOVMoNsMwExgKIoIL1PxKuaFogsQdOhmQAK6oHBalWCaDWHFBYB3NjMRSFjs79C9FRsKW7k2nP0a6XRG9D1cWVVBZxMgHpYl67rq6rGNE5W2unGsldUZZ3fCiuaWaDn5HM9BWBbi4GAj5xNBqJtT37vnG2O4JWzeqdnaS0oMXGfHomRbQPJJjP40Gx0jU0Pkl/PJNtCBosBuveY1csGFMW0PC4CHudsTHkDDAYDlK5A4Rxceh+NOcW/5I1genIiWAaGzqJihgmE2ovyKlTiAYW4FoFjMD9mMIvLuUTelwwJzsWE1tk63b5ZA2ZBJmkkhNVRe1ckpq/JJ6nEg7A6x0dHqJZLgCVOXzkoMB1PUJSFxJADklFSpAoi4wzpg2eoslQ2Ah7OfudjxRjAWpJIzEWB0ZbDaGsCBmNRSR6sk5MTnM5OMShKGUZW1F9G7Vd0QJqGURHXf44zq1Bn6ioH1uGo4AiCaHzchXKAdQ5cFuDgmzcS9ZdAYycg6jMD54rItHiARA2m8XPEGDuCI2o8r1qNEwIam4PI/DAnHSNYjDC9xhliCQVFuo2iGDXSEiwMCmNlt1NYYaeMUIh1XQNekHe1rFAUBRiMonTY2t4Se6oL+cJIo8qtcXp6iuVyCUBo6aOjI8xnM8znc4QQxMvH2Wh7JpMKg8G+TjZ21tmUiE9SpDQG9RLLQgE7YtRVHTu6cOlYMBHsU9rRAQ2L22xmuos9gaNHo6b+7c/Z2z7Yv3a1D57FCJ0l3ClPXUD6SlDmq319NEZGE9k81bNTj/bVPpWgp59XVp4vawOdG5nXFNnHMAHJptHoHJnYn/hZy+PQLjjmQIRp+hAgCxKFkJw3ADSqfdYFMt6Y2k4gEpiO4Znha4/Kx6B1xFjMfLL7MIYS4+ScQ2nlR/tzWRSNoTX1v9MvqhCpQTOJMTEMPDMCWwTJKRFfbXQ5Zw9SV3MQChPX62ivpTanWjjHdbxpW92AEKxTVSZnXlui5qZooB8CMFvMcHx6iuPTEwTvQcwYlAXG4zEGg2EDaAkIiA8kqp4I1jsdHzgT+DzVSpnTps41QChwk5q9KEo4V2C6tSWZw2dznJyeYhmTjbpSaKpkD8MChkhpVd03xglU7XkSrsjExDDVuluBVTWYItaon2ylqpAdsjUG7BuDQQl4HJKOmSNbI3mnKHk8NBSaIFrKJxBuFivRL3qEUCfD7UQvR924gj1JIlqgNA7OxgUKTVlVVUn8oznh+PgYzIzBYICXXnlRMtVfyOdIONlr5Qldl8slTo6PcXQsuerqZYW6rrCINmrJvTPSws6VceMg+my1v0h9M94r3ZWavqe8DNBZu9KuvHUQ0F1ZKnJzkC9OHV3LyKvS2hqeMUF9vCWqTXDnpXXBTc8tuH1WUs1km5r8Ts3D6Vy0qV5axGr9Vkpe0y5EtPJ8BKxREfbcv6c8vd/K1ZyBHmQLZKvGq8gqV60whwb4cXNlY/AaDWwhLPxKPyFRwYX4rijO34QYXwbyXj0zqrrGKVEyeSjKEoVzKIsysRaFK1DERNTp9dM6iPv5lbw3sv5hDYiDAMrICbBnBDIwLGotA3HKKV0W5iCbO+T9r9pc6fyT4s9F13Ob2btSJB3miwWOj09xOpvFOHxe1FfjEuPRAGVZyPvIqEbR8nBihRUgSx+jtF6eRfmeG/A0i7XodZmAokA0UmIsl4Q6NK6eDGAwcBiUI2xf2oX3HstqgdPZKQ4ODuTmzkmU5MGw2UVGWtxwzLTeoZXV20s+W7RYZvXFM43xo4IeaIMxxP6HfAI8AnIAEKdcUhpJWjchjGYS0jqtGExF74YQo0RqCjetvRgLKsAxcM5kgZui3QAjqsAUpRv4UKOuKhjYRAVOpuNosf7FGqhfJEnGwHWN+WKegmceHx3h8PAAi+UCzBJaAIGjp43SwHG3ZAsAAnhAJrKXiGpaJKok7Z6zCYhMwyok2zRAxlZWP5W+AF7S79He5W941nRN9t1az6lsjPad1zLiP0c/53TnPkBhW0BBVXpdwCWzT8/ypwzzSj2o+eHmzqw0S/fUNS14lneJSshvkorV+p6jjDWnxBmydSCbdVdPPue003eqzqUr5a9ZsEI6t5PzMLFRhBDUYDv2f2NQey/fYSHG+QBcvYxMJAEIcNZh4ArxQIoTvqpz9H19HmfY1CspkmgwMMQAMdgoG8lwiMEKrQHBAkbCnNjIlDWGyfpqqNUiuSczR0ZZ1/E8fAszY1ktMZvPcXIyw3IpcbGsE4Pk0WiEQVlEMxTp4yFqSwTkq6lLQFIQsZIj5tzj56kZngYRC/BxVpkWBi80A6tOtAoNJSLj0I4wHI1w6dIulssFDg8P4b2XXW1VYzwZo1BLbCIgonLdEaj0h5GWezFxXBQ4vXRVZelrImawEat1ZVBkMCF6JIg+Oj10+tDeO+deZBqYKUQ9owIloFlsnLVwluCcdCh5TIJoVTkZ9BFzWlzUc+3o+BjbWzsoBoO4o/s8DsMvnjSAV8DKcrnEYjHHYQT1y8UCs9kMi+UCgRkGQr/rQBKnAwaU8o0DN0Dt1uQ960TOtLoRWGdgS6bfxiXuKdJElM7vKwftXf55pMV6rpGcBUD2uQ/0aD1bi126V3Z+BCWrQIMAki1tphDvXY3T+Ot7qM69W1+jcVjobo7SdUaTG+uzJZeQ/jLXjfEVULoKgtbJWvDZU0C2we4UcsY9Op83Vy2fUTcUHaPN65DIopwllpTRxEDSb2tfg2HB0c6sDmKroiYKwdeofJMQmxiy6FtJ+KwgyhmTUl42N/hsgiFtc5N+K7wnUXNH0k28L0nUfrELmageNKqmUgyzhnyQ3/IfRySiaSZUQgioqgqHx0eYzebwXt5RWZaYTKcYj8dx0gii/gKgru96A0rMa+Kt5KkIjYr9HKDnqQBPX8fX25clRfBAMcEXGj19RM6pyoYwGAxx/fpQGmO5xHIpXiMn+/twzmE4HKIsCsDYlBF9cwjpOCEqU9QgBkGF2ZnGGMBYhMAoPIPZIHANUGhgDTeABYCqmtEMrIzJCZxsH/SW0geEErSO4KyJXgcxU3pERKqAkHKEEQpRhaGslzEFLl++isI5WOdgrRiS+TrAOvMUA487s1jfdPRZHMJ/XOkuyovFAnUtSWxPTk6wv78v+ebIxKzBSAPXRBWptS554AUoImgo/0TUMkBxsJPRnWizc2XEySfWZ6O7dMbqNA/Q/rCJOembPtZOKWevbKsF9dy6D9jkoKfv/PaBvkIJbNQ02KSJfF29eqvWB4KiKCPcbgC15csWZQ5pNypgR6/pB6y9E3iPGpCy/9tVXn3HmxaFFVVZ6nOc2OczpQU4Ns8leVUo7RD7btK+d0qUrGfHJglpkYx9P7Z54Bj/CQ3gjAo08RbTkCUZG+E5wJAmD1K2IqRAf4UrUJCB1etaD/LZmkVF40LNIqbNQIASWRYCWCxJImyK5zdeVaubrBapTEBQ6iXOBWLawTidneLk5BRVXUUG22AwGGBrawuDwQAm5s8yxsU1N6SXnLqdbwNiwRe6eTl/a58L8GiRfUujoEL5PBgQrGUsFkBVxx2qIj9p+nSl0IoCYoajEYajMba2tuCDx/HxEU6OT1AtlmBwjKdTJPuadbtb6fyR/s8OEhM09HRih5wFlQ7wFmCb7H5SZlCitNtOZQtPDY6uexqTJOY7l8tss/dwxqKwBmQ17pcCIrFXCiGIGzAADoJiYdQdvcmsboxDEdVfGvgRRDg5PcVwOGh28/HGOpibto4dMZ9gmRoWK+1NP0vD9I8j+SIbQsB8PsfJyTEWixkWiwonJ6eYz2fR9sskIG5jpFu1qVJ9cmDEKMMM3ck3i7oaBKvrrU66UQ2raqxYtxZjmNW5j/kAYj9De3wkG4wcNGXf5wt7FztsWu9ap3bW8LTwdspYt/Z2AWafx1S6by9gax9T1kftX3QMah26ZfSVuOnZvfeYz+eYz+dg9pJTjyVp8XAwgCsKEFkYSABRpPEZS+W6ecdEUAtgHbLp3hQv73kvXc479WNEJ4lW+X3Px506rIJPwvp31le29r9uv+z2g2QAz+vP0TemcCLv213IqNiTKW1fEXyNtPEmSh5rgRnkO33LUAxnovO2BXmxN61j9KmFb1RoDEZhC3EygbBB6p+WA6E/5Oyat1+CBQmPmARmhOWR4435Padgl41nFTfXk41rCtJ8JR1Wc5/HkBiLJeanp5ifiq0OyGA4HGF7exvOWTgb5724ZgtjI705IEQgG+cOQyBdmxXlkm2elbu9oF82Ap51IKcreo4h8d4qSwE7te+StU2JqwNPXkBhC+zuXMbuzm4KgnZyfIK9oz1Riw2HKMtSsq4TgVKjaafVRV1giAyMhgYTAKAVliBobGKiidDZEUuiKvkYkadGdUZoYhEYEsdcF3PaDIdDOGOT2zwHL9nfWRmdpisGH22FyESQwzFsdwQ70b0vF40qfXI6w2JZpQXXWANrJWChBZrEorAReCKVL+yB1ZPWvNkvruSTsPceVbXAcllHxmYPi8Uc3gcsFosYREtiR+gkYK1Ju3cpzyMR7b2LMwHk0s7IUFSBxEBczVSOCHI4AZBkL4bET/RM8t3lQfoJqV69892q6Wv3DD3xfP2iszVIC2PeDqG5+er1Z9DR69iKfhak51DaBIl7LqVn65xMq3PeJonWVkBgPLh3H4eH+xgMSkynExRFgcGgxGg0TvaK1optCQEyXo0BmWj/p2M1LZdWH7SpnHpFdR43dP4GNDBkh7lJ9jCkK8X6Z6NMlcg5cKXe6/IwA2kuplVjaAFBptXOpsP2pFkyLnrqDZeYhrg4Nkbl8i6bmCzcqmPKtcQy/nKTgC7YYm5UywYGxnjodkQBE9loasECDnzcMBMIxhMsxThucbwXZOC6m4w/AAjK5womiPON1+YyMGC4mLVcg0/a6FENraMCv8T22HbhkIt1uVwulzg+OcZivgB7D2YBkJPJJHpgDQBw9NhWwCttp6DLxPev75KgZibyw5CAMrp5E5B09sg9k+HpIsX8d+u4jEWwAYpCbBOE6QF8a7e3+X5N/zVwrsTWtMR0sgXva5ycnuD0dI6T41Oop1I5KJOKB9HwOKesGyRqO9uK7Bl0gSITR16zrconcmHZJHEaqecKEQrnMB6NMRmNY3h1yY5eVZL6YrmYI8AjVBUCBzgrgbUaGhfRay3uZKMJUx6C27Bav1NiH6qqSkbXngOoJhRGQE/TBDrxyCAXV8EiG2jdt/rFky64mc1mmM8lEe7JyQzHx4eo6yomymNYS3HAGxRFiYYBQ/qsemMVyiKIrpUEzAV4qguw2iA0O90uA5CeRElG+Uv7cOgbVKwrR687dapSq/y+Yp5m+e+7vOf6dUX2qDR0iW3t/tNi2vdctKYrN6AylassSl8pXZC41nYHQFwkrl27hldffRWDQZkiTKtnqPcVPvjgfVRVhevXr8M69bENmEyGWC7nIONQloO4yBsger+2bqaq+rxueTyi1GU2w9m+597IoOX9bqNa7HzSYpSYV6yYGlY6Bibp2kRlDE9eZl8t2sA4wv0eezGVwOJ8AkjktxD7m8YqgiEY7+JmV4ArxZhqEnHcIKDZgBMRFoiJbuPYL42BQ8xjpk+iWotztuF5RKAAEOL6LPGvDBAZFJAFmxgUN4ZKkFAXAg1ChBYpN2Q2h6lIFzdg9ljMZzg+OREPLC9s53S6hel0CmsIzlmBKXGT3159soCGsdwQwYUBw5jo/QwF+REUsQT2zRmhdXJuldbaOUofOv+bhOkZDKQe8I2mqP/q5u/+gSjgZ2e7xM62GAnPF3PMTmc4OjySbMFlCeccrNP4AUhgImFcyge1oMnAyvrYeIoiyPauyMTYEcY6SXxGhNFwiOnWFoZRD9lKAajI34lKi+fysgwLO2Cd0NbG5CHY4/NTdzcjuycNB24y0KO/bQjJJTB4SIA50ww6FtN8kDGRrv3iAh1tk7qW1CGnpzPs7T3CclljPl8k1gZQoBLdvmNIdEo7R7UJ0MWSs2tWWZyzPIk4u4YT2Fld5LMrOn9JFmNL7frEu69c2vgnbqhT/G+jXctaOecF5z2Nun8Lk8BKb4NSGhtgtf03VaCl5u7c4zzvcb1RpIzP0WiEyWQC9QTVe+oYFLvEEfb39zEei4dlYI/l8hSnsxMsl3MMhyOAi7h4rtZFTQQaq5H4k+HBhAWf8n2uUxl2Ttq4FuSM0ZmMXUSb52L2MmPKHPh0VZ/9VV5/j833boCVslsc6xGiB67MzSyhHGLDW+vEA5wk2aqAIJkvOMsFV5PmKoshZ42wQi7+ELI4Oh9naKK5RmcLVb8h2ofKc5CkBgGDKayoj43uCvL1Ii7y8kvmyqqqcHxyJMnFY0Lv8XiMyWiE8XiKwhXCyeSbxO5TJRJC33GMNJM1gNr7hAiy5FTRaXB27To5t9GydnTqOZbVFRbRGTu+sQIRpXmkiaDpZ50SCei+2ibKcnPEuQJbpcP29hTLZVzQnuzBe4+yLAX8FA5FWcb3xCBqp4ZgxDw/3iMEn9QW4GaxA2tSP4YlhoFEnhwMh5hOpxgMBsl2QwqVa4PmAwtioGxRoAi1hEk3DVmnbsqCTOP0RQBIdaaUt0IK4ARqOoDuXkJUsYmahFAFL8ZnEUjZooQrHVxRdjrw51e69janpydYLBaYz+fY23sSbW3kPQvAMRE8qzOmaQBBWkyaRaZZJLWfxkmgYzzfByr6l8bofUdIu1bm5uz2rrMZ9Hq1HtdA8DIXrVdOadH5GF0HkbjLgObn9QGAbgEb5FyLaaxFVwluTNvlNB8T1DdfrL1NP4hZB276jvctkC31DmVu0dRmEYgcbty4iZs3b6EsS3hfw7CBG08xmx+CucB4NE6LUUyEleqd29CYGO4/qPqGmjebWodoxQbrLDnrHWmC5LOKPdNbJt0nrH1fAjRMBopWWZvz96unq2u+wDaxsuLxGEwWkHmVgRgFmgCSQIkECauS1NeaKDdtbAFnC3HjBoMMA75heRScOETvsFgdR5SUnXreeYQQw/BA1+Ysf1lKJqpt2Rgni30iJSYmg5epy/lQY3Z6isPDIywWc1hrURQFpsMhdrZ3YpgXl7zqWrXOgJP+H1rjnxO+4mh/pd7fHMRVPRAQghGGCb8n4GlPvdlgyo63zlEUln3HohkQ1ZZ4giOlrurUrTV/pRam9Lk1QUcXRVc47OxsYXt7C3XtcXpyipOTY8l87sWEylgL5zjpJnXniNojVJJElEy0B4IaWbMEaiKCI2BYOEGrozFc4STKM5oFR3fsIcSEeohZhwOBvAeMwXBcoiwkvgGYU14wTRPAOuFT8+qSgSo3E7F2TL1/OpYtBsYY2MKicAVsWcC6In3/+04SfyxR75a69vC+xuHhIY6Pj3F6eoKqWmKxWCCEGMcmi2VjbMMKNH25ydHDjJTRPg799n1bg1SCnKV+nxt2Yv2OUoF3A/jbLsr5M3aulONZHqt1LtorZcXfIVY2RVog5JvmrH6rQiutISdrAsrzyLn7G6kNS1saD6tYI50o17A250FimxbLpzmui0/f/bvnD4YjYemYAWPTmB4MJ3DFEMYNEALAwURPznbYAO+9hN8HoCkdJtMpfNaP8vo87TjvtsmKsfGG79adt64e1JnQ+2oqiaRN64Quw9NXxxwM5ZuiNgBdWWiy4cjN/5lqgpGPbc2H2FyhDJzsMnzruVQBZ424ultbSR0k/0LM+9gE6TOGUINAMVQJogrdUvRyjuDHEbWUtSttD5lpdLZhqO1TM68o22ZIY1UJgJDggc2sSRRVXBF/VnWN/YN9zE9PUFUVrLWJ6RwMojNNSjuTbxp1lm2rmQXCxDpmzxBinUKMxcMMATsgaMBKcZY+A2jjnIAnR3ddsLPpFoJUAUsAFYA3wLJqvudArQLyPpgDqPg+sgvbd9E/rXPYviTgx4eA2WyO2ekpFvMFTupjFEWJ0XgU0zYI2+KsFSTmJd+QsiLWOTjnxOhwOMBkMkJhLdgIYFNvD91GJ5xMgOjeo16aZGL2voYZDeBiclUAKDkaK7Iazi7hvbjHtx6Tmw6SBix0t2CaHyKURYnhoEQ5LJpdRatxP/uST2JVtYxeUgvUdY0nT57IZ+9jsDGTBpPupFZVOT1qC6B3YdjYSp0JP59M83L63acRibUEQ7q1aZ+f3QexTzUG5koq0JrL1eC5UXw0p62OWooAZvVxc4C9+t155WlVf6vX22Zs5RPkUwKu3/c5nkb6y5WNloJfjV8GAogCmCQ+0/HxsWQXHw5bMcdCdH7wvgYH4Pj4BEQ1hqMRrHFSltoy6Jvvqca6Ofus95T373UM2Pna+KyVI7/2rD37ah3096aNAac5Vdqp/TVLqJHudbkKDe1QCer7F1fj7unpO45hK2TPHTephGSfKWFMXNpUC5tsoI43FROIGfP4fNZYWACFMSiNheHQMphWiVY7aT4wZBBMrG/g6G9hYpBCSnVsmAY5Ztig8jUOj45wcnKC5XIBQ5yAzng8Tn22MckIsaWVn8oM5zNRVW1jUNIEV/Uw8CGqs3yMycSRsWLxWg9tcrhXnkql1f17E+jRNjLZ3xTvVivT0wd2tNyE6NdsoPIVjaBaIKgVvrEGk+kY08kYPiYom80W2N/bQ1GUGI4kzs/OpUvwVYWwXILrmLzMWUwnU2xvTzAYREbIQOwHYifgQI19c9CXxKlzhmhTE4JHDUZd13CFi2kjhIGwRLGDIaq3SjEeCzUChxQQiwODvYQET20JSkGinLViwF04FM7BuDOMZz9jopOGsl3Hx4fYPzhAtVzi9PQE88USAEePBx00RtSQ6xaW/K++yfkp6hULOZe9wUbGhfO6NHZa+T1S1+5UuVns+xaa7uH2OYZlJ9m+V6f8PlD4MViQ8577VNfbzSkbzlPuJ/EcTyNr7weTQCxF41EDEk8tEGzhsH9wF9PxCMPhsHVtURRgLnF0PMeVK1ewvT3Bo0cPsb//BM8//wIARAP2GJCtDyysfdynA7ZdNeMmW5m14O+coszEx5F8M7Jaj4bp6N5w3VhOGxBlmJqtb0qNxKxgJ74LBV/pns3CJeyy3jOmQCKS5L8xr6N4+JXRE9dBw7gBhBCECarYY15HjYYxcMbCUSQbqIEZKSCw9DbIwhYAeGFSOUi/MQoWI3hhgmcJ07F/sI/5QlJFFc5iazrB1pbkdFTbscbOrPu5+b9f9Nyo72CghoFnIyE+AsEr2GHJSBeY0+9PRKWVy9rdwRnf62amcAJOfCWorG+MEGVYhlaRWx/+0b6s5HdqNgKcKbBTOmxvb6Hyl3B6MpNASMsKzjlsTcfYGm1jQGLV4ayog0wKwS3leuhCJADIsPQVNupsThFtNujfAJiz7FINOVhbRlZCXJNNbDQJrUOtCJVVXWGxXGCxWCJQDemk4gVgjUHhRF/qnENZFHBFsvf/zEqbvalwcnoCX3scHh1gb28PVVXJpE2UFnJSoz9GtkOGAISPCWa0Lt3r11279vha9dX5KiPG7Vl/zybA86uC9L49CxYQEy82Fes7y/S05ab7/77A4qmebQPwOq/8vgDtY12XAdHENMTQF40xLiOFIQgarDBgd3d3xX4JBLz19ls4Pj7EYj7H9WvXUJYF7t+/C+9vxXATkodP0jFQ9DDK7p/93xaDropQmt6sdBiOQVfz59a69qrB1vTL80qbrc0OPq3k13R26l0D6C5DlJ+j81IDeJTS0R9RvYMBVYMJTuLmOm6DIY4gK7UrkeRPjDZEupgXZYFyUKbYdM5JvjBLoi4DS5qNKvg0biT0QVQFs8wHNj0WgWGbOqlnoNqPkZTn6xp7B/uYzU7hg2zEt7am2JpMMRyW0Ta1Gac5yGnuRK3ffS9I11EPcdLxAGqQrL1MaR3WLFI1c2R3Arw/m+L5RNJsb+q8bf2iAIfCAKaQYxrvT+CcHOuC7hRuOrufUllarvZffakJlyjCjS/CFQUmI4dr17ZQVR4nxzPsHxxgf4+xPSpx7dIU46G6djcqAUaTrFXvTRQPRuSsbKbhmFA1xOiTIAwGAwzKoehwY+czFOM4EKU6ynHReQ4Ki+loKDF3ZnPUdQXRcxo4IwbUGhPGaA/+DOIdZoYPHt57nJyeYu/JHhbLJY6Pj7BYLNNE0hgDx8GigcPSoqGMTnOAZYVo3zADzHL/1letJuo3Wux5Br145XgP4NGOyOe4X9opSkWTFj9TZZy1ALf2Ut2xo5OQppno3WBQ6ut9x3vvqQOs95qeC7r37QaXyq9/iuPnPbcfmH5yIKjLIBCgWCbORZxsDISEaS/jEsNMwEpVLTCZjAX8ZyAihICjoyMAjHv372F/bw/GAHv7e3j77TcxGo3wzLPPoSgKeA+w0NJ5jUDdDhlFbCJ7wH/fc1NWbOfclXb6BBi0NVXGykA/pwT1gqOGVVFtVJep6qqtWSd+ZYGgJr9ICwNHUwU5v5l/GIBHaL1TATkKeppkwsxiI1NVstEFiY0pQkC9XODk6CiptSXeU4HRcIRBOcCgHIk9TmB4MKqM5eIIePL+Gq1glO+JAXEZsEaSGs9OcXJygvl8DmfFDGRne4rJZCQmIR0uRw0KGA1hoO+xaYmupY5JRyoAPoEeA8+EOgM7DMENdWD4AHgfoqrrUwY8Z3Vl7pxDaGICWANQCdQ1EGokai+BH2pf12LjWSaIPCYJkLJKKDBNrseamktBhr6eQeFwaTzFrasTnM49DvZP8O5Hj1EYg53pCNPpAJNxidKaBMIIsdGyeV2zzEqHRlo8QgxMFOqAQTHAoHSw8UKObaCu7An0pGduFq+BK1BuOSzqGsvlAsRqNJrt3M5Qt/whhZkROGC+WODk9AR7+/vYP9jHcrlMrpBAzKxrDShku6lsJ9ooePL3Tyv36kpQlqQ5K30i9LOKuZx3wVzb5j3goVt+a1LNv9Qw97Ez9KmaNpXbPdeAEq+9BqMAoBRe/6zy8u+e5vgmA9izjn+a7MwnVbYyM0ScjE+XiwWq2QJ1vQTDYzyeoCxHsIgRuNPCJwuaBRJb671PaUr0PThn8fjxY+zsbCF4AcdffuVl3H9wHx999BHG4zGsM7i8ew2DwRjGDlZYm2az0PMQfWC497SnU3/1qZ2ferbqXkBAyu78lNKeM3VTFTdasa05uhWnEFY6cVBcyjP1iYIaChKYtst0KZsjn5v4TF0vUz3u6xp1XSMwY7mUPI9lWaKwA2G/82sD43Q+w+F+DV97WGMxHk+wPd3BcDiGdQWKsgBZk+6RL5vKRFmOJgPso02oxWw2w9HRYYwgziiMxdZ0iu2dCZzV9TR6rKlBMXTTpnNgnL97+B6d5VXV5iFAp4K4nQcYYXiYUEdnJ88Ae3lu7wFf+8TuhKDm+4O17/6pAc+aTeLGc6nzt0GzIBVOPtd1w/Zw9j2wukkgE5mjtod2AjX5GNfvlWlK4Ck+hFjME3bGBjvjHfh6G8fHc+zvn+DR4wMMRkNcujTBzvYQhTNwGchQxkeL0/HHHMMPGQIjwFqD7a2pBBxEVqFOvVIjZW1s4jG1+yFjYIJ0Hk0+ujnH2Kcv+YDdO9zH3v4eTmenODo5Rl17uEjnyRjNQgNE8KOAD0B7AmM9ng1wNNnC1cjunJXUItd2YJno4gTVWaATGD9D2u9B70mt7zl2Qt0VNYRV20hYJ+EWUsl2a9379gGUBCI3gGO9LjeQlVt+MjY85z3/aVVo5zWSXXfeunKf7pkbQE4ELKs5Dg+PcPfeRzg9PsHxyRGOjg4BBIxHY1y9eh23bz+D69dvwZAYYoKbeSQEj9I5zGdzAUHRU9RaixA8jo+P8ejRQ9y6cQuvvvJdXLt6FZd2drC3d4DHTx6h9kuMhmO4ohR7D1LfF30I9IIE6uy3z2qLPpuapwKP/ZVYz+T0fMN5Uq2eeqy1KYosRHecEWdecWmebu6RwSMgeU+xnBLnQAU8+f2bTZ6831xllp/DzNF5pUKoalhnYcDR49iLNiB2FiICQsy7yAAFgAIjhBqL2SkO6hrH9ghFUaIoS9iiTOuEtcIWpffFjLoO4FBL4m0izBdzLOZzcBBnnvF4gks7OygHDsYy1HhEN2SpTdUrK8Gd1QCRgPI74mnVgB2gZgE9AaKq8gz4aO/rA6MOAnhQM4JnMeSv69RGIpPe9w58DMCzac7nDefosfzRE6vtxEtTXde75+XjSNkazavYYn6wOiwUW3QZdAVCbaBBKArC1UsjXL80wrLyOJ7VeLh/go8ePMZ0MsLuzgTTUYFx6dKipWWk5AKEpNryhlH5Cq6ghmnK7plhn942akkEPKkTZV4e/RnkPw0RulUNwU9PT/Hw4QMcHZ+gDoyKGy8EILo6ZhNPa5IhMfw22Xe5UR0A9BoVagP3KJTONCzOS8mYFv0sQ7lji8CcVEytSZ2b96316sKdBPipeeb2k7TBSPqdGJcGCCaAlNU/qaMyUKQAsuWGm09CK00a+zEj1Y9I6/Z0IOS88kkA9JYK6Yx6fhoskYJxIqAoDO7e+xBvvPELHBzu4f79+3jppZdw+/YtvPHGE1hHuHn7OgblEO+99w7ef/8DPPfcl3Bp97Iklo33NEZSTxwdH+Pq1atQ9kH7wksvvoKtrSm++pWvYjQag0PArVvP4eHDxyADHB7u45e/+jlefulV3L79LKyxjT2J5mXrGSIM7n/Va0DI+pAA55Owxlj4qSoR577Vo5wuWzmWLmuPN8ERlJ+SgIUwOgQNBZBWDoYAnwhiEIHPuh+g/b1uEgGk3xyZlmIwQOFiMs0goEqCGTbqKA+PKogqKhDFiMkhMh61tGUVxOZmuUgTkXNGIn2b6OVLRtgpHxVGHFBVcxAI48EQW1MJrluWBYyNPA6Laswkp3ekdBD5LKizTgN/FNAADIMa0SYHspcLEJBTM4ltDmsoGxaGxwewZ/kJAnJqHxmxsD6uk8onYsPTlWa5Wv1bP7eBhrAlxonreuD2d/q5u17ox3Qs6/9pkcGasdJTZxXNs1KWDpcLi92tAWbLbTzcO8SjJ/u4s6iwPRnh8s4U25MhnJWkcSaOAWJGzUAt/uspCuV0dDk9v473lo1TT130b2HGjER6hgwAAX7UcgP8pCXfgRyfHOPg4AAnpyd48vgRlkuxvyFjBNgo09RZ9XU3RTpJUPc9NUOEuJmc1oOX/uNneUnlZSbquocxyediBQ3MvAoqs06meWigDE6nzJyFyydZokzPnYEM6nb0bDfWV966xb/3nJ4mSqHjO+eua82nAwUf//h5VbVn1efTATz64/Hr3/wS7777Nmo/A6NCVc9QOMLu5R1cv3EVp6cnePDgHl595St49St/hoO9YywWFeaLOYaDYQqpIEwbYXd3B2VZtNQfzjn84Af/CkVRIvggQe6I8OyzL+D999/DwcFj3Lh1HbPTGX73uzdw/cZ1DIZDWSwiRUnohnZsnrmf4fn92hLY9A77wc15WTe1oTmPJLC/hu3rLtTCRGfzCRNAOaMsqYEE5zRxovI5JbE+2Ryav88Uf62j/jJo5nWNHSfZAxo2X5+hruuV9hGTAoZVoKthVAwBQViU2jfzgrOa9R0ApI7OOUynE+xMt6NRtKbPiPNdjPbOrRVM27LN6lBsW9lMigFyBemH0UIpqQUDgDoIq1Mjmid4BnugjgAneAbXEjA4xFh2CnjOkk8U8HSBTfe77ufWuQp8YsBXTTQYOgjJdAtZU/6afcLaeue/82WN4u55OiwwvXkZgYHj+RL7x3N8cP8xAMLOdIxbV7YxKG2y5bn35BCn8wWuX7uCGzeuYehUdROfc01dNtXVAggxtLbYMcVcLp8g0NHBV9c1ltUSJycnePDwEfb29rBYzoWRMjEUunNIsSSAtFAb05iqsc+zQ+uzUfJGUoCofSFknWNdDqhcO9ya8rh/cm3t23T+6kx8XRuidC1R62e18Hg8Pg9Re9pcVVFlk1ML06iNTRvwJACZMS99devWuXWfNfVYd01ev99XpXXWvT7O9V3pYxA/Tjlnnd/tW8YQQAE///nreO/9t2AdsFyKF8vJ6RG2trdw9epVPHz4EOPxGKenJ3j/g/dw4+ZNbO9M4WvAGIc6BCyXCzgrcXim04mMLxvdlllj9ki9fF2LzYhuzIoBXn7pFfzd39/F/XsP8bWvfRV3797Du++8g1u3nsHlq9ckom7QqbQ7RkiVE30tsXr0fBhjUwkJLLSPrbEly/7vlrx+Vu/K6sYGaDZJLTYVClya8wMBPlBbhS4nSAohj9a1+X1ykNNld9ROK/+uyKL3F9GeS8o0rY2OAiJhNjobX+bUnpK+CLq7EuCiSV1JPcUohlIRI+jJeIzpluS/kutj+8W+ot7KjUWmWlw25zXnCwRKaiuoUXI0QuZ2PJ1amR0WNZavAPYedagRfI1QBwQFPMGjjnY8Ang2d85PnOHJu1OX5el+p8eSSoey6+IC4hETn+XlU1N2/jsnF9bd+7y/+56HSCJd7owH2B6VuH1lCwenCzw+OMH79/cxHDiUTrxhHu/tYzqdYOAIthzCAKhJGnzdvTZJ6lQESQDKlABP/5RyXmlcIufzOQ4OD3F0dIh7Dx5gvphJbAXjZNAZ10Qn1lY1kEHPqscN8pkMhPbgpNtpmDiWXRErxak1aUfL3LwzXKXU150vfaNxczfZRAZ0FuA4SbTutg7sIFMlUqecnrL7AVN8e4Q0wa5MXpSNl3X17tQ3PXf8raCpd9nYUO/eLX73nA2yqe0+DUbyae71VJ5blIWMiOPFWsIHH36IJ3sPMBqXGI1KbO/cxC9+/kuACZd2djEoh7h9+zm8//678F4MQt966y1847VvYjlf4OHeIxwfH8OHgNqLYfNgMMC7776L6XSKK1cuYxhZGlWhaYdomATguedewNU3b+D+vTtgZrz88ssgcnj0+BEmW1OU5SiijJi0uDtDcndbot988u8o3nFlnAE6h3P7RPR0QwYal4/zSFiZcNvvP86wiaExMbZbZHeJJegsh2aN4TixBUrAQ8FH+5moBXrS+MyAT2J6mAFrUyDCPJFnbr+nZTjnGsADcdMm0rVBbMBSeog4p6gXlRQZojexqMyccRgWJcaDERypR3FuzC2iljpNy60C04YzoqS6UsNkJTV0/ves83+jwvIsJi51LUyOj2mgONrrhFBH434tqXmudbIR8DwlkN8ofYt8fixNzJ0vU5+k5temeq3uXfo/992/C8o2giAiFJZwdTrC5ekQtWeczJeoao+DoxMcHh5hPBrBGUpu9fo6Pq72mwjChmTAroXynkKYJRjibDbDo0cPcO/BfcxmM/gYdZPIwJYlgI46p8N4aG4vVkgec5oYcHp5nN1TiqDW36lOHYJ6LYDpUUNtukYnsRb4iN911VQUQ733Sd9E1seydO+noKYXoEQgAiDtHru0tbR5/K6zC83LaPUJdPp3fqxnZ918mdetH1CtO7buu6cFIZ8EG3OeczY+w+rJYFLDTIY1wHI5w4cfvouyNHhy/wkm01s4PZnh/v2HcKbEjavPAGxx4/ptfHTnIzx6tIfjoyO8++4HONg7wmSyjUuXLmNnZ0cWLmYslhWOj4/xxhu/hbUGN25ex3e/+10URQljJCZKqJuJnUjGjXMOzz//At599234wBiMhvCB4aoYrF8QRvbc62bDdvusa6OnAot91/cERex2v43lxjF1To1n7MvcOZT178hUc7bgEFH0tCWAA4hlo6miLhcMcRfXcavARueWrhFzLvl3iZkxYqujQCeVZ21idfQ+jbqr7bjSHJfYbCZuopQV937ZADAQyDgUrkDpCgyKEmVRxCTFsZ6qqCKdP3U+yf+1X5CCmioCnjr+ncMTtd9RoFN7cTXnaK/ja486Mjq1r8AsUYs1ByYjSC4ynG9d3Qh46jqgsJR2oMAqoNjU39YNq/MCCwBw1DRU3/263fis+637/qw6dq+l7IMBoXSEwXQIBlA4h9mywnA4SDYpisB/X9NidWsnrFeLdTBi6thVVUlMhdkMTx4/xv6+uIpzCDKITAEZYwx1gdOFWneXSpMidn4wxSzgDRCTcRvjSqSuTel3Pqnkb09igXTfZl8Pk+NaTBdAbVpwDZoge+vUQcKIbF4g+5ible9bYJSSyktaIQNDqZ271zXvugExHRDUUD+99dTWat4Xsjpl0tltJ8Z0zfP1Sd9dQf236wNTTwN2Np/XW5OzTmsO93Q5AoGNBhcVwHPv7kOcnBzg4aMPce/+XezuXsYH79/BclFjOtlGORiC2cLA4aUXX8FvfvNb7O0d4oUXnseTx3v4wb/6a2iwUlkgHYyzmM/mYA986cUXsbf3CB9++D6stdjd3cV4PJG4LV6zcIuh6qKuce3WLVy7dRNUFPjVb36N2ckpiqKAtQK6RqPtaHOSA9zs+fpAz9q2Myvn9L+TNXZ1/Rimd9xtkv7T1xXeI51cXQmw6PjjJpRtk+dJY8xAbDCIwRGMKusjbtM+RtsPEfwQAM1ILnXPg0vmDJCCG/0+xDlawY3WNVdrqZ1XCwjlajBmMHHyFNN6OedQ2BLOOJRlicGgTLHiQLL2xnBzLaCjv7twpwtmquyzxtEBIshB9MLyUX1VR6Djg9jsLKMKKwSEUAMcUv3zuUlc6s/uPhsBz//vf/8njIcDbG1NcfXKZVy5NMWwsNFIleLuokFtQKaeysrJ68Cd884SVQElfd8Z99kEaLqApfvdWSBnnXTPMVaCAR4eHcLXFcajIcajIQaFhQOwf3CEg6NjfOnZW09tfyNAh1ZebJcJAzN8VFM9fvwYe/v7OD45xWK5RB08ClcAMHDlENBAU4LeZGgb6cTW2Ez9GBr1SFYhSnSxZpRhyWLbmuwiGOl5Y11qeZVqFh0yN7qZ5tvOQr8J7BAQje/WLeIRYHQAhH7XEC4913a+i39k32WAJhPTAZW5CitNK/n1XUYqu3f6kIBgVgZ0Ues8FXU/5N+tAXOt6e0M4dVnPs/9WkU8BZtAKct457g5P1/dp2ppg1fAWoMPP/wQv/zFLzCbH+LS7g6+++3vYTkLuH/3MXZ3rmA8nqCuGcwGV65cx9UrN/D2W+/gy1/+Cg6e7MOS7MA9S9wRIgICYzQcYjrZwuNHj3F0dIDXf/oj/OmffQ937hxjf/8QL734Ei7vXtWKRRMAxnRrC9uXdvH3f/cPWMxOsL01RlE4LE5n+OjyR/irH/wNfBPasjfA63mEsyzuqW1SbTrnAqAeBLmuB/W915QVviOGeiKlr1HNAaurIXf6Zstjk/QeWQRpH+JiTs18SZAM3zHZJljmKYlfTNGuxIAjcNKEowpkFLwYY+B9s5AnO0kr6SNABDKcQrFoSysoysepAh4dT/p9VdeYL+YwlmCtqMOSUbQR1VlZOnFbp2i3E7MCUJzfRUGlDg79IEfbKLE36DA7GdCRH0aI6abqilHX0RDZ12AfxEDZVwjsm2cixDAtSiTYyEBtttLZ+O3h4SEO9hl37z/EW++8j7JwKAuH3cu7uHn9Ckalw2Q8xmg0kFDV1O7GfRq1dQBknSiS1uu0QSn73QUtfbIO9Kz7/XQwpC3TgcMz1y/j0f4+jk9OsLe3j8IV2NrewuXtKfaPTvHoySEmkyku70zhYjjoc90znrc6h0R7mFryneztH+DJ4yc4OTlCVVcoigGYCK4YgILEBkrMHQMBNYgMJEMxiatibA2dEyRzsa6mGZOUvWhGM0Fxdl5e302eN5u+k03KKtjpY170c1JZqbooIhql9VutroDEZD0hW+cSOUKU+h/yhVS3RNyFBAqk2rsSpBpEsKNHmLL7UCTc8lqkUjPGKK9Gf3sA6o21ChL7vIRz4JezvP1cwHo5L+B5quvXHKc1o5eInuaWqwtp9xNZ3Ll7D48eP8F4UuJv/+bf4ZlbX8L3/3KId9/5AC+9+CrKYgyECgQDB4sXn38Z7771Ll558VUUrxQwppBFT/shE0LwgCEUrsB8McdyucSdDz/Ezs4U//7f/Qf85Kev4+///u/wb/7mb3HlyjUx9AwM4xz2j/bxm9/8BnfvfICd6RjWBDhncLB3gMlwgrJwWNZZsEOY1nt4WlUi0O0X64DM7wliaTVPl/b93pfaO4WsbrEz3LDCLqrHbbsOMo8xN9Gac6YhN/5lo4CIAApAEDV/m/HROSGmAqHIujiSecUCsAwEBlGINpRtwKNznLJJ3Tbzkfkha1HVNe7du4tr16/BuUECPMJYGgwGAwlSmJ4lxv0hVeWmlk//tCXVEFlZnPxVtNJBoImtU9fial7XDB+iJ1Zdo65qeF9L5GT2MT5QJamYyDZpcAzHvGLiJWzsAJaKvpefZCPgsRQAEydUDqiXFZaLBfaPjvDWO++BmTEeT3Dlyi6u7kyxNZ3g+pVdlIUYO+WqgT7k3wUs64Q6PznoOY+0g6u3P/cBsKcBZH11tYZwaVRie3Qdi9rj+HSBk9kcvqpQVRWeuXkV29tbOD6Z48n+XQxKh63JCJe2J3B5hvMzRVicqvI4mc1xdHiEg0PJsxOCBwEwzqJ0BswCYKy1cBnql0qLsTEAGSAxRLcObr2X2jDk909PTWrd0Aa6SRVJrRhe/XPSGrCT2xysYwEStdkZ9M21DajQ1mVDK5MaOuV3GaL8GAFgDVOfHycBLVKh7Fhiz5sVQo29WxQxrT6rqhTbHWN1eV9VZ8UzSBen9kyemCV0CmrXtPX59wEOSbosQbz/yvlCX/QyU/1l9/WPuFI9Rf16+1ge2t0D9dJja7qDv/rrv8BXv/YNhGBw7dpN/Kf/9D/h2tUbYA8YKgAmeG/w4gtfwdZ/vISd7csAJAgdYrLh1E+NQV1VWC6WWCyWkh8JhF//+tf46le+gu9973s4Ovqv+PWvf43Xvm5x48YtVLXHvFriv/yX/4JHDx+iLEswM2ancxgLFLbA473HeOe9t/DCl74cVQQdQPtUADRnQ1rfoDuy+2f/pwdXfWczEVZmSsLqsQ2F9oal6PkEILp1y1xHUDu9BgxpoUkNhQATVWZMGoS2sb+RsRc9pjggkInaAQtjTTQlbO5BqUrRay8rR4EUUWMgHQDU3oPBKAcDWGPw4P4DXL9xLaUl0mtdUaAoyybnVtbukeiJdei6oat9TjuAIKBsWwN2PKLLuRej5LoWs5naewnYGAJ8VQnT5aNLIQcQhwT0LLF4jRkSvG4sjHEAHB4+3sPPf/4rfPt//u/XvvLNRsscaUMAutQZErsazXjolws8uHcfD+8/AAMoygKFK3Dr1k1cv7KDyWiA0XCAYWFhQcnzqquBWSc6hPQ85Rj62KN11/f97n5efY39n88jsnhIqPhR4TDatri6PW59N9i22N0aY7GssHdwjHsPH+OjBw9xaXsLu9tTjEdDWF2AteA4qmofsFhWmC0W2Ds4xGw+w3K5RO2j/TsFUX2Q7OJM3D2KpX5DdSLWRdbmmIk9BMCq6ySLzjT2XOautkDfjrwhzWvVZElp9gVA8x7Xvjfqj8op1ewHIU1NJPmh5trSXVDaDemkETEDkdhkdMtcUVOdwU701Uu81Joftd3Rc/oMqLsgp1ufTSBv/XGdoNB559m5umvt9ZjZAPzOu6b0LUoA1im1+xawp5J1C95T1HddvfJge8EHjIZj/M3f/C1+8IM/h7MDhEAgODz7zAsgsmAvcWdlXBiMRlt47rkxGLXYI8CkfstssFgsUPkFQvC4cfMm3n7nbVy5cg3OFTg+OcCdj+7im9/+Lv7qr/4a8/kCd+/dB1mHG9dv4ndvv4W333orPet8vsDWdIrLu7v4zre+jd+9+Sb+23/730HG4fZzz8cUA9R6mecFId3+u6n9BFA8DZhaPVdVdqtiVks+5+3OE98prT1xk8CEZgHCJmAlx01kzGEMOATpB8mQWfJmmRhINoS2equx+UFjowMfr3EgYiBmHLBMYB9ZmOhVVnuPwIzKexgr5Q6HQ5QDTV7deIEZMiidGCmrg02zEYo2j/q8ZNHYMck8X0fQo2xOHd8DI3pccZMWovaMOtrr1FWIUZIr8UJkIPha2ooZxJJ0QtRWopA3BlElV8A4h5qBhw8f4u/+2w/xi1++gcPDI/xfPy7gMVkcFGVrEiKGAZuo62PtQIzF3GPOMxwfH+HNt8TafDKZ4sbVXVzamuDq5V1MJ0NBrfpK1wy0LijS/qYdcZ0zWre0Tf2fOj8rO8kN155H9PlWyiGCI8ANS4wHu7h59RIOT07xaO8A73x4F0VR4MqlbVzamqJ0jXnyoycHuHf/PhaLJciaxLowlN3gZPybqHIiGFiA7EqdksdXrKDNYkBQCDEJaoxxkCGeBspwa47JWaCMHGr/vUZE3bJq5LgJDOiE2izsZuWa1m9DyS1d4wC17kPZO08dFPmHuPjpMzWQXN+yMW2g0Vy9WieKz93H6qzWKa/cWSBQp6iuCq3zaE3ukqSC1Hv11VkuyRisM6R7f5Ww5vKn2/ifsw5E60/txUY94E/bM1bQGsJzzz2Hb3/nK3BuAPYGEoxOEoAyU+wHBA6NsbOAGxt31l6AEROq5QJVXWEwHMBai8FggPfeew/j8QQ7O5cwn59E42bCzuUrmNYeV65cwwcffAgfPsKvfvVLLBcLwARsb03w7/72b/HVr3wd5WAAX9V4570PcXR8gH/+0Q/xH289A1sU4lkJTQ/QBqCbAvqpGjW1bc/nTcc2ldsngbnf1pGzNDUdW8HWaedQn7ViOaE9XjkyqwHN3GbE2DHLbh4BJJo2BUlEaUK8Njp76K3E687AEAOGWy7taQzmk3Nm1KyMoBot++hbHkjtjIStl+k/qvYNoSwHUeXuoumCeGUNywEKK5vklQ1xqoFJgQMV7Ojfje1OdNZlZXKaKMmBgdoDy9qjiq7lXEf1VfDpYnEsieBG3eKhdk0WzjowDH79mzfxwx/9GL/7zW8wP52BAJR2c4S7MwGPvhzOO7m8NpBal+fH0oxKUdnJODk+xJsH+wAHDIdDjEZDFIXD5d1d3Lh2GVuTMcrSoejJCaXAJl97coCSG0zn53dzVJ017Lr3+EMKEcFZwu72FLtbEyxrj4PjE+wfHeHBkyeYjMbYmU6xPRmhLBysdajrUyxmSxhnYZ1r7QpkQxLAmR1OzmEl8JoqoO9Nty66cFsgGMCEmOBT3AGZfUTwHLUsYs7MndaW4a+ULbKXIVd0JZ0Sd1SkaeiIVgciesCBPkv6LTWgNGjQecHZ0pYbIqWxTsgn0PxcisZ8ITQDMi0aGauR7pvK0+8RJyM1okbrmvYzav3aD9DOfbW6qAud3j5I2XMmBqrzgNLm8ZiCX6P3oMjidVUXFMPMr0rfmF59F/LNuowFvQvUml1///WrxxTg9Qp370kpGjUgY+OrX30Ng3IokWBZ2BqQi9dyemU6FWo5BDU0LRCCx+l8DucsdiZbYtwaDOra4/qN65jNZrhx/QYePryHZ595DmCHqpLF1boSL774Mj788H0cHR7COYcXX/oS/vZv/wZfeu55GOsANljSAsY6FGWBe/c+wjvvvoOvfvW1mIlb5oZ8LKmrMtCOi5U1RQuAnAVq+IzvsybvlVXFLVaYnLaaqHkOPbaO0ekyrqn4FgDS5R4Aiau6fp+8rNi06pO7cOt9EiUDNJF15U1KnqysDnn5yv4QUWTupR46iHQMJ3t9ff44p+QGzMPBEEfHJ9ja3oElg8IWGJYDWE2QTYQYzVY8zyJrHghgMlFtRSvGyPo4GkjQB8DXYp8DRgyyKMxTVdeoo7dVkAyggDJemqaCZFNhrIWlmFPOODw5OMQvf/UT/PRnv8C7776P2nuU1mFQFNKTz+hqZwQezCwLOOsEhGil3iA9+RSyicyg6apiFQ428NUSJ3UFZuDxo8d443cetiixc+UKbl+7iulwgMvbW5gMB42eslWj9sDIvbXyxLb579WnauTpCNdPV3SxHxQO1y5t4+qlbcyXFR4+2cedu/dx3xhMJ2M8/+xtBL6F+w8f4eDwEEtfwxiDotAknTFqJ0x7EuD+8PGyBLYBCMVoyYYk2KIg9ho1KvhauDXulrEysUXwkQUOakPk1QZolnVhpZoJY9VQtledtOZYc5hjn5JEd83J61klIPb9VtnynbV6nmmXt7Eu7c+b6t7cq/PwUPYuH2mdM6hvA9GMlIa2XmVIFdwEaiZevWadNuD8rA9a77qpb7cmzfHuYpC787akD8U0OHNNZTqHerpnHspAx9f29g6I4n6XxFeE4s5fNn/NzKjsKyIwdoXFcjHDb3/3W4TA+MY3XkPguEkhQkDA1atX8fbbb+GrX/0aHj1+gBe/9GUwDKxxAAugcsbhpedfxpvPvYlXX3kV3/ven2A8HiFwQDTFS+MyeIYPHj/68T/i1S9/Jc03tKF9zlabbhbq77xPKX2dpf1nF+zovc+KgdMHdALnecUS8gchgqNuVbI+kVeQqO12HjiAWJZ0zyHNsYQgnlitMhWEWhA1/d1YI/YrlIE1YwQYSDXBca11cd5uNsNAWZaYz4QNKZzFoCxRWBM93qxgMmMAayT3GomftLrkK5uj2pXcIJlDZHR8NEquOHopiku5el/5EBAQEFiAjoEwXAYGhhmGDFyss3UFCmdx5849/Pinr+NHP/sZHj56jMI4WGMwdAaFlSSrhBi2ZYOcCXiangAZHBzjrah2g3WCbJ8uHVQj6q4idCJKgY18CHj84CEe3r8PA1nwJ5Mxti9t4+aNG7i6s43SyoOl3XF2GyWxcte3rvQtsdT5fBZQ+kOKLkSjQYnnb15Dde0Kjk9Osbe3j7ffeQ/D4RCT6RQhMGaLubiRR1Cj80NYoUBNfx6dntbRHUPc2sMwA1RIB/c1AgcEZCrN3sUq+vP0rz8r0to1gpItjHy3fjfWBxiA1aCCfeem3rSmzG7wsPz7XiYmf0ZqvpNCVjPbnwV4iDRw5Xpafu2i1NP2Rt9Jdu9NO+C+PG2bFrsu8OpdVNAeb/k3/eoktLoWaQdfi2D6wF/PmbSujGx3n9o4LkBxIUuOTjHnkgy67J3pJJmpNxB3qovFAg/uP8R777+Njz76CLu7uwihhrVFyiNowBgMBgADz9x+Fj/4/l/h0qVdLH2QMWfkHswM4wr8m3/zf5Jkk0TwvmpArAGcKzAcDrG3/whEBo8fP8SjRw9x/eZNCTTKDGqpVbO2jPN7s1GJb+Cck+TTAB7u/G4K6TvYPUXHmF6gf2zoq+s6RabZaDY88TMj7Y26tkwa24ZZWdlsTdG+Ez8rc6PtQ2ShGdjlnDyFRKPCStuROG5NvK+NgSvZEIKRDXDgmJcLFFMRGVy6tINHDx+hdBZlYVFawBqxCxKwbWOCaooaApPWE6E0ViMkp1g6lZA16mZe1wxfi7rKB59yh6lpszFSmrHRFokIYANjJHdX8B5vv/UOfvrTn+Mnr/8Ms+UcMAZDW4qZRxC6xYFRkIGzhNL+Hm7pSTjvjAJ6UieMM7sOvvh6m90+t4cKkAeMM1GXzzEUtgUxI9Q19vb38fjwAG+//yGcLTAalLhy+RJuXrmK3e0t7ExGkkxNCmpNc+tSiK0DPeuGxGcC+AAAEUpnReW1PcViWeHJ/gEOD49weHQkKq0ixiHIOC9lIfLBsm5pXGk1Un5G6VIS1VDwaCgHTn1j3eLRZT0QS1yJzcEdwKOu8QmYxCHXARrSPLT2+ObP0caiw28QxW86eX02Aa0+ALTyO0ZzbcE6o4to/7UyUfa7gZ8FeNj0AwiljdeBrXQ91rEwfTfr711959Oa481du+evWZh6D5sEPPIye6lu6nfHT4rgfDEjrZmyYxkQixM14qYiDQ9q6m6tLGgfffQh7nx0B5cvX8a3v/Vt/Pmf/4XUzxjoWsDUxOXZ3tmBMw5/9r0/hScFEMq+xg2j97LgAQAzOKlWRdFsrcH29g4+vPM+al/j+OQEjx/fx7PPPoNFVcdHyFmNRjRuVZfBOC/DkxrrPKchzjOd4+oNdR7huNGG/ko5oNadS+l7fTrDZiUR5VljrTnPgtRz0yBNqzKODQghjjtJxqnvUx3AkG1QKZuXheHRstr1IiJYMIK1YPYwITI6IUaHhpACjgiXdi7h7od3MCwLFE48wcjYyOYI2BDHloa1z21l8+CBdQQ7dR2NkmtGXbHY7vgA7yt4X8PHnFcpknwsjVmYHRuBmzUGoAGOjmd483e/wz//8B/x4Qcfolp6MEvuRskYTxKfjxjWEIbOYWAtyqLEcFBufD9nA55sQZMOiYRcu8tku6vmXShXfGVFc4g7eaXaKbuHxoIhIHicnp7i+OgI7737PkaDMXZ3djCZjHHtyi6uXtpCWRaC+hSR4+MBls8CyFknOtgGZYFb16/ixrUr2D88xp2797CoKnDM/2JiQKa0eGeAJ3MykDIh7d1kiKH2d531hyJtb9IVBM2i27th6l+qY6cH0pvvAzEZEOhjodJ55wI7OmHltUpP0JpFCKbX7qfLhuT3Xgd4Wp/jCtl814BSk51DRDH1T6ZS7l3cm2tWubU17YJV35aNkzitnrOeUTq/UN6wGwrpewaVVoqV7ODq+QTQ6jYo955r3T5OXdypY2+dySZ1p4ZAE2yr8VUCLIB7d+/g9Z/8CKezEzz73HMoCoN7j+7i1o1bYlgcPDhT4dpowL+7cwkPHtzFjRtXIggSikH5AqIUDjSrZ6PkZACGLMrBEPPFAvPFAsvlEu99+A6+/d3vwDogeF2Ae0BvxlqtY1g3CmElWOY66ZsHpA790Zq747A5t7n3Jmaoeyud7xoV5Cqz276+e09hvFX9pAwbhciUcgAHteNhqEEGs8QIaM0lcZFVW0Fmhvehmb/0vMgYBwUokZoPQdWjMk+rcfPW1haKokBRFHCWxINLQbQtQNYmoC7BY9tZDhT0qJ1O7cU4mT2jrgOquoqq04Dg6+SmRcnrKrKTyhwbA2fFLvXx4wP8+PV/xI9+/DoePXgArmu4+L0GOjbEKI1BaS1KW8BaQkEGl3a28N1vvYbvfvdb6184zgQ8wuSIa6X+lngCaXmMi4nmiGxd2/cndQ4mry/pnbqXNaydjdPC46zkBeG6xqNHD/HgQcDb77wDV5QYjsZ44ZlbuHp5B5PJCONh2dSgBwRR9vksdddnTRLVSYTdnS0EBp7sHaBmlng/wSPUAkI03kJyeaTI3MSHJsiEaciumRvaRw2iKjLtIjMW4RyunoC2fUaP9zybUulQA0r1vgIhN0hOACG/tltyS6XaXiUb0NAFiM2E2GVCEp3ciXDay2accawpI5+8G8DX1EMrs7rLDtnXrafvAzy5amgDSOwUpSVmf+bnxgX/jAWmW14vm9MHfNcsgsSr57NRCL1S8NnVys5pyuB0LfXUD10AkPorJKYKWfzwh3+P/+//9r/hyy+9iD//8z9DOSzwzgfvoRgM8NY7b+LlF7+Ml158Gd5zRkpIf5xOt/DRRx9GICdMOCfbj8j0dFKypD4ZAZIxFqPhBAeHR/B+Ce89jk+OYSH6jEAKg50+cf44527KtSkkzgmQqFN4a2OWgYv8WBeAEfXE1uotsX1IiCF516om6t5P/84Zr00AkIgkeJ6ObYj3kardVC/BRAi0mjBYmSA5JuBFv8/BDhGhsC7Fy6mMRzAG5AgIJCorC5SDAqPhCGVZAGRBzgG2gLEljHMRtMu9u7Y6zBnDw2KzU1XC7tSewT7A10sxTg4xfUXwUe2E1A8MkIyoXeEwXy7xwZ0H+NnPfoaf//yXePz4CYhJclAWTgyWSUCNNRaFsygLh4IMhmWBZ27dwDe/8TV897tfx5UrO71mDLls9tJKfYIFgERdda56UPsZmWjSXwo103kZe9iWvEPpjKnUXVoTo1sia+MrzRc7d/CYnxzhV28cAAwU5QCXdi9he2sLz966jkvTEYw1KDpG0PlvBT2rfi2fcSHCzs4WjHV4cnAMshYcAqplhdlsjtPlDM4ZST5os0VaF9Zs4HUffJ29jDASFrIY6IzRr0jsfe/cr2pp3wgQ+y+AYLOJSRcUaiaGCILkssYtcT0TsQpe1FMlf6Yu0MmDfHW/23i/zvFNdjE5s0Ur1zeLb348OvNnT5aV07tgrZbRW2+01YzN8f7tAcGef/D0MC5PI2uf4SkW2POW3/c3AKyq8RpvRybZtQcAewdP8MJLz+GZZ2/j1u1bCOzx//pf/xfsXrmM1157DW/85teYTqa4dv06alaHADEiLVwBMgZVXYOcaUXKzoF5rzrRaGZ0wuXL1xACCQtMhOB9ijoOS0AwIG7UgSm0RG9bMhg11F27kZ7ZM9s0nCXrsPK6d73WPowoGw+RRVlj3ZmbYYjekhOw7QYl7Hp8ETVB/hA3YN365RsyIIJQ1XhQw8Kl6Tcda29Ymnk3qsay+cFE8OOsRUUehCVCXQMstpZSB0ZZWjACXFkiMGCLIcqyhI1JRbW/dluJ0fa+qmphdmovwQO994CvJCJyREfE0odZA30Jb4aiGMDZAkfHx3jjF7/EP/zwn6LaaglLhJKMgB0IU+aMhTMGQ1tg4Bycs9jemuKF55/Fn/3pt/HKKy9gMhnKuz7HsN8MeCI1R7pAtdiYTAiCUONb07whHaP1XulD4I1utblfO86CIut4XlQ/uFhfXy/x4P59PLj/AO+++x4GgxJb0ymee+YGtrem2JqMMXAm3aFvUPcSUp8hyZvWEGE8GaH2AYdHRwhMsEOHshxisZTw9Iv5UgCPNXBOQ3ETiKxolhPeie9AJ8OuxAGcvE7UEyUAa62nOq84v89ZkjMdrWMrgCNOcGcs5i3GIKodSFnE2J+SO7G2AbXpfIq7Dr2fTlT99c8awOT1XQ945DdHfJONA1pVp0npXQgfr+9bBNeoLvrr3g/k1rZrTxl9b5m0Hj3nnmfR2yREPeCd17A+T1Nuz4aAGpzdulnK8UOMN99+E8wVtrbHuHL1MkajAeoQcPXaNfy//z//BU+ePMa/+v4PcO/BXexe3oUxTqIggwAEGLIYDEo8fvIIN27cgo+RuZnozLoTNQan169ex9Z0F0fHj+EB7O5eFnfjrB0oyxie3mY/zuttjz5Ls/NuAtbcakVaJhRr5u0AVfl1QnF02RroOIl3zwJzMRoGp13D9lhsknv2jzdhMzSQqwdA0ai5uV4ejJMalLldkqjDoiFxAMSZqlHyG2NQliWE6QkCYIIHLyqELM+DDx51AF788iu4tLMDUxSwkLVb2RxtF0ZM2s1NhOTg1U5H7XYYvvbwvkkPKs0pJUiUFHkS6wo4W+DJ43389Ge/xM9+9nN8+OEHqOoahXUojINDgOGAksSAuSgcnLUoyGJUDvDszVv45re+jm99+6u4dn0Xzp1/LlPZrNKKBpWpZZXm67tHRHG6XOp4OE9Ey05BZ56hhmmRgYwdKV5NSvHpgh2wWMywmJ/i/v27gHHY2b6Ey7vb2JqO8cyNaxgOCtioy8zZHso+f5aFIDELtrcnsMbg4OAYdQCMYYyGYwwHI4QQUFVL1HWN5WKBEJYoBwWcZYnXkT3laifSyZUlbDg18a5J33XXOChK175A63smw9PcWV5jDnwoHm/tdPvBw0qOnBZtHFrna59VY+k2OKLEcOY7akIHRHXrn9clPke3LbS0pgwFUe06t+ra+rxuMT/72EaGZwPgWQd6VmSd99e6+2aWma0zegBVt+QW45cfN7qwr1zR20a9eUbXPXP/qSAL3Ht4B6+//o+o6wrwjFe+/CqMsTBk8Rd//n384z/+ED/50Y/gDOFv/82/xf7+Y1y9el3UB6x9hnHz+k18+OF7uH3zWXj2bdBKm8CmzGeWDCajCa5fv4nF8gTWAl95+WtQA5MUGVxtS7jp570BIlP7ZKCHpZ17QU/vsU7jpUW+35C8OSfXCPSf1o5ORRHwmpVyW38qWxcPKjvjycusxxoRO4flAq+AINoGRmtDItGU255culnsOw7d2AsSS9+ZmDGUo+FympvkBDjnMB1PQESofYC1DsxiT1PXwpJ7DxAcJtMtXL10FRRBjkZI7ib6BCPmx9K8V9EDqwJCzajrGohZy7OACxCgI25XZMSkoqor3LnzEf7hH/4Jv/7VG3jyZB/WGFgyKI2DhaiwnITHRWkIhTUYlg5Xdi/ja6++gm996zW88MIz2Noey9zxMRflzakllKLLGz/tOvPzgGCCxBYAMrCDlTlmLQBipDgeGSZH96N8H219qDmhRU2mJTWvpyTMBIDjo30cHe4BZPDr372DwWCAZ27fwPXLO5gMh5hOhvAQd+DNcRs/I0IJb2I0GoHZ4PDwOIYjl1gqxhDKcoiyZAzDEFVdYblcYLacw7miyd9iRX1kqAk61izwCn47gCerR1cMOkHqIors04D1TdwyEWv/axdDmUFlI8I6pX5ICkpWPZPUOyL1uvicecyV1rNQvypqBRz1PENT/1XAk67j1bLXldX+vPm+7fvF3eWGc/Lre8FO8zCdstNJ6Zgh6g7fZoR2iuBsos+B6do6pnbLI433tEZPHdJ5PQB0HYDor0a3feTY6ewIP/yH/wMPH93B0dER/s///n/AaLgNoIYjxq3rt/Hqq1/B3//9/44f/eifUDqDH/zgX2N7OsVoNJUI5ySq4+l0B7PZDAyIrUZqm8yurUcCFOgRysEAr7z8Ku7d+xDXr17Gc7dfkDaDpBYAmw7TrcB+5RHlT44zY2uaXhf2or1AxawIq2tDKnzd+1YPHz2/fzOVwi5oTyN1yli/+V7XhpZM1HQRwMLOtJmfuNYQIovTV07u54QEegCJQJyMnDmem9RA8Q6GQGxAof0MRBKYbzQYYmiKBFAH0wLDwQAEwp7fx6Ac4uqVy9ieTgEjNls1VgFOgm/MqAPSj/fieVV7lnk71CDWuNMCDDVKtHUWsBZF6XB8coJf/PJX+OEP/xlvv/U2FvMFLBGGTpglE3SjZ2CZ4AzDcsCodHj+2dv48z/9Hv7ku9/Elcs7En/oKdmcPjnDhofjjlcXA8QVpD3pidor6koj0klGX8AZXa0t/Y+0evW68tYGmiJAKGKkHRKDUVcLLBZz7O/v4bfOoRwMcOPGNYyHA9y6dhWXt8awZvOC9lkRA2n/0WgA7z1OTmaSfReUdmoMCZZnrUNZDiTyZWR+yAdY62Gty0CG0MJqyLcagbTZkfe+vV57He45tW0btk6NQnmfo2ai6rIdlC9+WX9dUR2ZnmMKPLKFb50a6jxAp/XY1P99d7eXt3MedbW/7FVAKMfMyiJtUt9fU8dufVYLboHE5qvsM0X+bc3iJc/IPcc6O9gzxlveFzY9yycl5y3ee4+/+4f/ijt33oV1HuNRgS+/+JX4XgsYAMMC+Nd/9d/hl7/8KWanh/jZz3+MV155GVvTCbYml0Fx9iUAdXzt7BmDwbBTqfX1iFZ2iTF49eWX8Yuf/wQ/+Mu/wKWtK2lbCFBa7BR06NvJTUBzXqPX660vt9UGaUZXOz1Nd77g1jXN3+tASqdnxZrp5/VrR/5+U7DG6JXKpA41XaPlhpRU9kdBUXqi6CKu4zeEoOHN4rIUAVBQWORjIMC83BxYIanD1ONKcmlKkFjLgCtKFFevYTzZwmg4AphQsbBQNXM0Spa/NVciWgAnSPBK9vBgcCD4qPIziGFFsl0rkQE5A1tY7B0c4cc/fh2v/+SneP/9D8CB4YxBQRaWxNPKQUFfdKwBYzIu8e3XXsGffeeb+OpXX8H29uQTX3c3Ax6i9AOSTmCSIRxaEzMzw7IEO5I8sfK/Lh4BEsHSGJNyuCD+nyasdCQXan9D+fHsLKLo3tdDK2UjOHDmaBcnZAuSMNZgVIs53n//A4AM3vjdO5iMhtjanuLFZ5/BzmSI8WgYc46cVynzycv6HTMlz4ytrTGIDI6PjmLk0LhKcZbVnCyssXBFCWaPOmZzXyyWklXdWZDRCNpxF+I9gq8z5iWfBrsLfH/8GEHPdgX3dPv12WBCXdqzY6z5wjKAkm8pqbmWQCkOTlMmkurJdo73fV6n9lmt6+rfq5R2P7A6uz36y+87Zky775qeMluUeU/9KDKGTbkNOF4FOb/fKDnPZPdZ24g8evQA//zPfw83qGDAeOGFL+PS1hXkoJCZ8cqXXsU3vvEN/OQn/4Dlcob33n8TX//6V8ChhrGD1oJeVR7LaonhcPz0FYrF3Lp2Hf/ub/8dXvvq1yLwzU6g87PZsq/v94bpAxPKBae/qXtu1tfWXq+fmzP66qvqmbbQmT1ypU4r9qq0pitT9iOZvJNqK0BWQhMAMo17Nol9kSGAycc5SX4UVulGrJXCwhB89PoiElVWWRSN804U3Tg6a7E9ncADWNaMuqrBRKiYUXkBN4iAjRBtcryHBlAMXEvdDUlrs0GK3g9VzwkmYAD3Hz7E66+/jn/65x/jo4/uwVqL0lmQA2yEjo7EsqqI88tgUOLZZ27hO9/8Gv70u1/Hs7evy7rzKY3pjYDHkmm5NFN8uNz4UpGuBmoykdYjDoIrbESjiAsPdD+RRebRF9tnaMnNr34CM/uLmnu0r+8uyk3vlnaNNQkxRkAqh3E6O8XxyTHu3LmHQVHg0s4UVy9v4/Klbdy4elWim+q9/4ii646yHszAaDQEQsDpbIaaA3xEBwpT8hobEsO3oigQQpAQ4L5GVS3hnAORQVVVEkAKQAqahR42LVUK/TNghw1qFtY2XXv+Z9YFmgCmNBhbJ2a5uHIWJTeebYGZDOxsAjZn/b1S7gqwaZ676YsxjsqGss5Wn/UDM2dtA1Yi4GtyROVB0br33wToWn+tPe9fgjAz3v/gXdT1EsUQqKsFvvn174JMe3kmIhTFAN/55nfx61/9FN6f4vXXf4Q/+96f4uqlF1vnhuBx7/69M11u+yR/G+PRCN/5xrfS/dedd2aZPX3vvAy+Suj8zuvRmaVbnkPc8323Hv1rRb9oGXm5+caakIEJ5lZnlzlEsRFFw+UG3pGxCVCIeUCIaqk4v0QyIZBuFsSTScFP/lSUMpyHuOEAisKgcGq+zFpqmkFsBBeGgWCF0fGVR10H1BWjqgOWMd2Drt+N1xnDGgNXEKwThstSCdY+yJwSTd/58C7+j7/7O/zsZ7/Ak70nsNZiWJQChogjo8OwYMAzrCXsbE/xtVdfwV/8+Z/gm197BZNxTCj+Ka+jGwGPWn6r77y1VhJzxoykkcBLoIeIwD6g9jWqugaA2AnkbML6xVF25+tqkn3BtHosFZLxi3Jg0+NJKa3zWconE+m6yHBZA7IOQMCTvT08evIAxsgEMp1M8Myt27i2u4vRcIDSueZ5/sCSAED821pgPB4BhnA6n4mrIpp8MJzVs1FBmMjuNIZvgvZDLNMmLzy9EhTWvNdzgJZU98zmKoGY5v0kD6n4gIRGPdPUn6AkfL5gcwzFr+co26Xl9QFWZTgSa5ExHnntz2J2NrE7iWmi7jVInhzrrutb/HRz0tRd6i+h6dvHU0P31nv9dxeyWZgDPvroA1T1AjQPeObZ23jx+a+ir/cAwGtf/TZefOFlvH/nd1guTvHW22/iq6/8Reucqq5x5fJVjD4Ou5PJpzknPW3JpvP7rHPz2SVsuF8eKO8sWVdGHJWt+jGAWjeLGfCRI2JZRCa6qWdlWcQMkyxlqnedqqkU6ABxrKZy5UlkDFthjgyBWca4c4SisLDWRFf19gaS0ag0Vd1FzmJpDNgID8bs4X1AxYzlcpnATl0Lgz8oHAwVKIzE7CGyoBjs7+joBL99+1388w//GW/86g0cn5zAWYtxMYQoAhGTfkoU6MJItoAb167iT77zTXz/z76HZ25dR/Epsjl9shHwjIZDeZ06kTIw3dmSdPReGsfHhVDc00QtsqyaBIOGhCYLDElJwYgoMYITzTuy1purj/jkle+aP9MS2hzPmIN05VrjaY6qGNOiM8VSX4aBIweAMZ8vcXoyw737D2CsxXQyxjM3b2J7OsW1K1cwGUZ9e+9i+clJvqMxRgzh9PmNJYxHQxkssxmq2qdr2vt3XXxFNUhEgDEoTCk7kMCROQpSPjeAJ0SWoi9IV1y9e+sd1/vOwo4EaCjWizm2H6sKJp8kugCih8UxlFILtEAItZmcpg7pZICyHd6aXfHTqKH0mfV6VQ32P4dNYEWBjKqgVmIBxcK7NVit0gWQ+TTF+xqPHt3HwcEetjDAa1/7LgZFP1AhIoxHU3z5pa/ggw/fRlE6nJwcglGB0CQCPjg8wiuvflXY9S+IPG0vzGd+23NcvzNoAFJ3lej+7rJEejx0zlFRAMFxTsjnt2YDaWLsGwnQy8o4J/V71z6tSTGhG9FmXpI5wFqHsnCosAQzwzmb2HhDFo3yvb9ddJMzRJxrBsIYIQKwAAh77z3Ye3AIYCL4IOcZV6AsRwAZHBwd4Mc/+SX+23/7e3zw3vswAXDGYuhctOCSZ3HWwBoBPaNBiVdffgH/+gd/ide+9hVsb006KtU/nGxWaRlNchaws72FZ59/FtOpDN7cNVxluahw9+493LnzEShIPAAiyZFR1bUYZVGTr1ld/zaKrj0ra+Z5SMvYDePqfi6aU3oyJJFbswi14gBlC7UhB2Pk2OnpDL9962147zEajbB7aQc3rl3FrWvXY+6S4lNBs9z5SegAAFmhFEeDIuY3mcWBF6/lpNBDSviQNRubuIhaggkM4+OOJiYdlMFpwAhZmRkYyW/Wke6Eg8i8NA+W76La4ECZkHSf+NuYxsgezMnCtlfV07m2+U5BONp/d+uf7awEH/YxOlFlRgwX2Ra9uW4krLUxSJw+l0llEuXAO2unbttdyGdCrHWYTKZYzhcYXNvBSy98A0TrgYoxFn/ynT/H6z/9IR48fB9P9p7Ae8BkM/PB4T6ef/a5P+hO+LMqm1pAv0vG2j2Sq67QOS8HOd3ruyovBT6iFFD1uJybZ0hXtrRvQ5bPk8mgWTebEeyoKms0nGBQDHBwuA9rHYqiaM0N3Q1st020XQYkkblRMACHGCwHvqowrz08MchGVbe1sOUQARZ37j3AP/3zj/HP//Rj3L93H+wDnLWwDFhmkPcwRCgLJ0DHMK5dv4pvvfYV/NmffAMvv/QCxqPhH70PbwQ8zhUoyxLXb1zDjRvXWhN6H+09HA3wwpeew+Uru9jf28fjJ09wcnKK2WwOEzhm1Tbw0NxLGiNW4k1QaNQXK5J6YcbW9C1C6UvEsvXvpktwQk/d+0SWg7NL0P3cxE9oGVvrrp0IzjpUywr3HjzEvQf38QvzBsajMZ67dQuXdraxu7OD8fDTfvkaxCoARkwMy9Ii8ACLxSK2QfQoAMQNNsvWq4a7+poNGXirumSG2luJW6K2WU+7EiVwnEtSr+THIirN1VTxQwNwNFhgZ6ekny06DA5RypmUw4TmlOYdNnVR5rE5anSi6j5DVh+T54iJ51sr0UETM2NtAjSg9j36xtSFfL7EGIPXXvs2fvz6P+DLL30Nl7avYdM7JQJu3HgG3/+Lf43/5X/9z/AVrQSxC8wois1JES+kLetavMvo9J2Xq9D6Voq0YU+FGgQNwMqNl5ZkQ5crJE4PxY1RU5razqQ5BLL1pGhzaKKai4hQlAM4V8A5l9IzbH6S1ecSVVOcn0pJf2LgQH4IVB5LXqIOHmSERbpz5yP8/T/8ED/+0es4ODgUw2PjUBrJN1iAMXCEYSnOPIWzeOaZm/j+X/4pvvnaq7hx/Urycv4syEbAc/PWDdy8eS2iybMrTARYa7Czs4WdnS288KXnUNcei/kC+wcHODk5wf7+AR49eYJFtRQDWDKwrkh8JKGJ/rniYp69X0HV3TrlcWFWsXsMdp2ONrGWO3i/tUB3ozznyDz6KuRZDLPbOhiEmL355OQUv/zNb8FgDEcDXN65hN1Ll/D87dsYD4fSgYGn7hgrO5EVDCd0qiExcjN2AOcMFouFBI9iJG+r5ECuzExqAU0XaiKjA8DEUwKLgXq6f+NHIXUxibjR85rdUo+6J0qKhZN/FxkPoAE4ecwcqadWv80AtXTcCSS1g3/JszYVoQgaDRlxTo33NzFFibUm/kiGYWFsBOClPDdSaSC/f+vDZ2MiuJBPSghf/co38bWvfgtffunrsHZw5vnWWvzJn3wfP/v5T1BXqpIW8d4jRLb8Qj5Z2QSK+hiixrQ/sxWKVLABIUQ2m0lAqkSqiZu4QNE7PYDZZKyO5JwS9lrevdgMmxQaJLdVdMbKpo7jvEx5POmznzUusxjEhyRLoKEBfIllWcXwJB7OWLz+49fx//zP/xmz+RxEFqWReDkGDIuAgoBBWWJUOuxsTfGVL7+Ev/6rv8ArX34B49EA65jxP6ZsBDzPPXc7TthPV2jDgIhXiJuOxXgWsqxWVYXAjPl8gb39fTze28diPgdCwMnJDKeLOUAAx9gFJlqDq6hbHLfAiJTeUC3xv40eRG1wlC++q1dpud37xZ7Tc5vA0cAuondrHYgAXwc8fPwE9x48xG9++yaGoyGeuX0Lt69fx3g4xGQ8Phf46aNd0+MpzYoGGBojuY4GAxlAy+UStQ/itt7NMk2AX3HNbD7zSvut1jXjLhCpGyCjfqlTtu6EKLJLOsG01U0KQlRb1c1rpaHWcrpYv9OpIWOJOuWbGIxQbGRE3WSMRAC1kZ0x1oBivwStn24uGJt/mWKMxY3rz+D5518554RPuLRzBT/4V3+Df/ynf2gF5ZwvFhgPR7D2i2O/83mQ1a1029A6W2mS6YNkLGdJx0BNktcQxDWdgDgXxXQUHCR+HYnbugGACHrSfBc9oL33McN5Eb2vDCxyS9Nz5CdEA+YMgJLkd2EBGjrUyxHqukZd1zAAjo+OcXJ8ikFZyj0ZKeu58QLyrl7dxff/8k/xg+9/D889ewtl4T4zbE6fbAQ8n0TFozlM2hUbAHYog3cc7Vxe+tIL6fzZfI79/QPM53PM5nM8fPQYR6enYn+S6L9MZ8oNZ0Mauan9FEiABv1qsNaz9uKjaKtCHezPLaVZ73Ut9RiltHFxYbUgMObzOd586y28+eZbGI1GuLq7i92dHdy+dRPj0aix3O+8j3U7kfyZ8sR2ekwDVhljsFgssazrhuvKGZfsb3W9VBXRuYU7kwdRGnBqzqcABDqA1UUzAhLN0ab4IQcqDXiJz2mSuV/reZVtsS0jYElKa43EIyIju21L4pVHybvJ9LM0F4DmQtbI9vYlXN69jvP2DyLCt7/1F7i8ew1l2bBCp6cnmIxHT7VTZmbM5zMsl0tsb+98phegz4t0WzBnTFR0TmMCahaDXW8INZHktKIAb0VdFXyETHlICopMkNV5UdbMfDPmrIEh5Y5UudZmsM/zLAyx6bEAChBMyeBpidqPxeQBwO3bt1E4B8MEwwGFMajqCpYsbly/gu9+5xv4D//h3+ClLz3Ta7/4WZTNubQ+AdGIks2BzvedRhqPRhiPIhvE4uE1m8/hvcf+wSE+/OgjnJ7OcHp6CvGd8k34+pDfoM0cpP8bxWu7Ij3HWyUIhwhO269NAGnd8wn6F5wmNKba1xgSg+FqvsBHdz7CnQ/v4Fe/+Q0mozFu3riOW7duYjIaYZR5fgEyyDxvhl1ZZRLjojpg1SFXHPXPaWOR56BStdG57tK+ZfcAN4yX6qdbbR6BiXzPSUXVNGNjsNw28G1UXCaWrecZa2GNiROGhXUNwJHcRibGltIbNbwUsvteyIWcV27dfAbOPc30ShgMBnj55a8BaNT4VbWE7eS6O48cHOzjjTd+idde+yauXr3xuViMPo9Caz4XRHDM8ERwZFFT9HoKhOADDNfwPs6xxiAE0Qg07LeCnEZlL27eVnafFN3Wz+XYv7nehoAhE3jAWI5KHB051N5j99IlFK5AtVhivjzBzWtXcePqdfx3f/XX+KvvfwfPPnsNRfHJpHz4Q8mnCnh+X0qfSKJJbk2nAICd7W08/+wzYGaczOY4PDzER/fu4YM7dwT0EDVxf5SRwDpMoovaGnVE9lmAkoCK3Br/6agOxeEN2yQMUGMYnDp7zPnFzDg5OcFvf/cm3vjNbzEeC/i5fOUKbly7iuFg0E7H0Puske8gNRqPbAiLF96ASjFcM4SqquFDY+ckjJjyJTFzynnBVasG7WuIYxRvVV9pjB0ikDHi3QfxLgMa0JgzOiYCGJMFx5RJwaSYUU7VUdbBOKVaM6oIrY/4ffrqhVyIijEGX/rSS3ja/lRXNT547328++47sIXFaDzEweEBvvGNbycANJ/PUJaD1N/XyYcffoD5fIbfvfkGLl3ahXPl52ph+jxLM50QHGSRLWHgLVBZgrcetQG8J4Tag72Fh4cPAUHT3BKDOcAQiVlIpjpfNeNo/n8apqdVXwIGIEzGFqPRAAcHR7I5tAbeGfz7f/tv8T//D/89TuYW48EEzz27hcJ9/vrTp87wfJKSL3yFcxFwEIbD8YpnV/Aa/4fBuognN3jK7JNzALIKGBLHwWrW23PS2qv6HqLnD1I9cLsuaj9lnYMjoKorvPv+B3jn/fcxGAwwnU5w++Yt3Lh+DcPhEEVRwJJ6EChAyZ6S8ngRcgfrCCAHDpwCDCZjcdITNZZniPgpt1nido2J0M4MqubJSGlJEsNjlKkxCYwYY6KOOjSGv9mPgXgWWCPBEZ0r4sC0YldDmj4h/uRTwMWEfyF/AFF7vacVYwxcUeDuR3dx5+6HWCwXGI0HWC5neO0b38LN67fx9ju/w3g8xnPPvgjnLNbNNYvFHC+9/DLu3HkPj5/cx43rz7XDRVzIpy7tqV7Bj0EwBr608MEjuBAj23v4wPAxAzmDxamHSQyVo7GyNUZSQmSiczP9HqmuCeK9VVqgKByMMRiNxijKEsWwwP/4H/8DXn7+Gdzdm2F//xSeGcXncIP4uQE8unCfns5x/8FDfPTRXVS1hx0UmEwmKZ6JuuxpxEjJDbXAcrlEVVUpiiSAlN8rBzGEJlInRcCQ4iLoGS26ItWwdbBvUiEAFjH7bjwWqOFPco0RtzU9SZfrUgI6xuHhEfb3DvCrX7+B4WiIm9ev4+qVa7h65TLK0iEkmyMBHQaZJ1ZWY2slrYTcRqJkS9ApjoyQvoMmj0sCmNw0goCdBuAgAiaxyxH8obpe8XpS122bwAxFQz+xq4lxapxLbI1EGXXJmF0MsTM1VO8Y/PwNzAv5lyfGWjz7/HP4T//T/wWPHz3Eb37zBn7xy5/iww8/wAcfvI+XX/4yXvv6t/Du++/g5OQELzz/IsbjSTRobvp4FT1gn3v2BRwcPMGTJw9x4/pz8GEJ7wPK4o8fD+VfmjRzrqrqDawhBMOovbiBm+Bhg2nMCVi8ayWastjryGtrNqWrwT1+PxmSAB7nHBgGk+kUi3qO6dYUIMLO9hDFQKItfx7lMw94NJ7ByekMH310Dw8ePERd1yiKAsPREIhp49WbJh/I1loMBgNMJpNk6a4gaD6fy2dfS4dLizXib472JtSqC7BeDbZJEqjqU/r26KIEMGxiisR+xULSYCxmC7z19jt4+50PsLW9jZ3tKa5fv46dnS2UZYlBWcZgjwpWGlNvAsAWKMoiMS/LqkbNHiGv9Jm6rB6FGkUDbaOAx4jayTSumYVzCdwk4GqA0jmxsbEWZAXYNG7e52ijC7mQz5kQEcqyxK3bz2B7ZwdFYfHyl1/B/ft3cP/eXfzi56/j/oP7ePOttzAYDPGN117DN775LTz7zAtJbRWCx1de/QqGwwmuX7uBg4M9SNRf4O79O7hx7RaGg/EF6PkjSeLZiUBMsEZscshYeN9sHkVFr/F4ZANOJiTzhybMyifzHmVDThg5mZ+NKzDd2sLJwxM8PDjE81cvo7SEYuzgsr5Te4/FssJwUMagrx9nhfzDyGcW8DAzqtrj8d4+7t1/hMPDY3i/hLMWo8lYgrlZC7KNOqRvAHNmH2KtRVEUGI/H2N7eRghBGKDlQnKKLJdYLpdAVSVboJzNaCyCNneytpFtPCa1QfLcaumWck+zrPQNAIOiqxMZEwMKMwZuCAJhOZ/j0XKBJ0/2QIYwmUxw4/o17OzsYGtrCucsQrQd0kjLwh4BpnDQJOjsubFd0gfb2JUZzVimaGcjgRgFzDCssSic7CBcZmujdjcKeAy175cYI7Q+XMiFfGElBI9bt5/BjRu3cePGbfjX6mjXd4T/+//j/4a9vSf40Y//Ce+9/zZee+01fOfb38POzlUMBiNcuy6OHzeuP4vTkxOAAWdL7Gzt4sO7H+DlF169ADx/RMl9ZMTJnMEIsNZAM1YQ8oTHcpXM2aIG+7QiFYwKQlkYmMLh9u1bePf9d/HhnY/wpy9/qQV0VE7nC7zx1psYDkfYmk4wGY2ws7WFIsaW+ywBoM8U4FFgsVhWeLS3h7v3H2C2WIICYTAsYc0AxlADdqjJadL2wGqX17hWtwPN6QJblkXKESX61ArLZZXUYN5HvaoPrWSo69iFPsADoHFRR4/NUN/5G9rKJBUYAUacFE3KtGtiDheJmXB6fIS3j49hrI1gbwtXrlzBzvYWiqKADDnAQyhUZwzYOWF3vAczUHMKo9VW3sUH1QzzROJW6VS9aAiFdbDGwhjAOYeyKITVsU104uT+3aua+qwMlwu5kD+MMDP2D/Zx+cqVNMack/xa29u7+NrXvoaqrvDw0UMs5if43Zu/xi9/9TP8q+//Nb7z7b+EibkpysEQ167dhG4Id7Z38eDhPdR11XJ/v5A/nDRbuGybS5ScYOR9a+JQ3cjHDOxksnIa9/VPbIYkYOAsXPQcu3njJpbLGvfuPWg2vmjnMxsPB3jumWdwcHSMx0/2cWdxH0VZYDqZYHs6waXtbQziBpeAPyrQ/kwAHgUmp7M57j18iIePH0tyUrIoXQlnHVxhoiuxghaT2adHg+QQ/+4An5CHLu0yL7EsYoohvw2KwmI0GkY7II+qrlEtK2GAFssU/bTjz5TK67ffiZ22Bb4ig0Rdy/v1XTgBtmgDE8P/djyZGiNfpUbUm+vk5AQnJye4d+8+yrLE5d1dXL92FePpNAZGjJ5SjjAwBOu9gLyqQg0JpgVvohkzgSwljysTWR3nhEkTYGNTlFhhccTwztkc4OQg5wLcXMiFMDMOjg5x7dqNlhErCBJyzjr82Z/8Ke49uIPlYoaf//Qn+Md//AccHx3h5Ze+hp2dy9B54MrVG8jt7J659VwWXuNC/pCSM/itzW7y+I1agMhwa8wxPU82iM0aAqB9zidQP2cJzhCqwNjZ3kZZDPDw4WMwc8srWMVai5uXL+Pa7i5m8wVm8wUOj48BAAcHR3j06AkYjO2tKbYnE5RliclwCJdRVH8oEPRHBTzKzJycnOLO3XvYO9iHDwHGFXDlAMa4yARYEEJCugAiAaiiAfFCSznEgVNsmeSllDWsel7JH4KwO6WicAUKLkDjEcCS3I0DI/iA5XKB+XKBRV2jrur0XZ9NMwNNAEEgAyMRqWd/q2YolxzQ5LFqdGB0zwMA5F5OCrj0fgA4BOw92cPB/oHY+QwH2N7ZxtbWNkajEYqiQFVZ+MhqVctFitZMLGoq8ZbS2DYcj0VDY6eGx5mnVWqHz0egqgu5kD+GVHUFMKMsCgT2mC1P4axDYcW5oKqWMGTx/DMv4dGTuxiMxrC2wOHhIT784G1sb19OG6p8NiEiDAZDPNl7hKtXio/lTXYhn6w0c3Kz/iTv2vTqko9wytenNjyf9CxqSOwnF/Nakl4XBXwd1lpYqNrKEWFrPMJ0NMS13R0AgA8Bi2WF+WKB0+UCdx89wulsBhczwJdliZ3pVICVs3BGbTU/Hfmj9HY1RN4/PMLd+w9wdHwsicjKAUbOgaN6w8T8RNG2PV5NCcS01Ssc9aFNpBtjJat3elUa90VPX9HPNOVntY0LvHxnIxuEAhgMB5iQeHpVVZ28wKplhWW1hK89EEGXFJ15MKFhd9TYOs9AnkvXNVuPaQTitp2LoqgYlC9P+JrnwuJGracBCE9PTnF6cor7dB/D4RAvfOkFcfknSarrqxLBGhhmOCu2OGpoDMMwJkS3cEmWaaza8WQZv3OD4wu5kD+aaMiGz6acHB+idOJtSoYwGWy1vt+ebqNaLDAdb+P65Wewe+kyLl+5islkgnsP7uNrX+e1Gwoig9/89jc4vH2ML7/4ysXG4w8sOcuD9Jma9SvPtJ4MeporiIyEEAkMtrpp/2RZnkFhcXS6xHg8Rmktqsqj9gx7jjiHeX9y1sKNLMbDAS4DuH75Mo5OZzg8PsViucDx6Qke7+/De4/xeIxrV67g6vY2BmUJd0asqY8jf1DAwywueHv7h7j/4CGOjk5hnENRDmBtdDe2DqD2gzKrOx4lx2oCEtUrJ1EyMCaKxrhR5dNECM6Si6Y+tMKloLscN6xELCWQ3hKAqGistRgOBykhaQgBVe1RL5dYLJeYz+aoqmVkVjJbIr1HBAjpcbLZ2ChDozQnGpfuVuDBDAxJBvqo8kKX9mwiFSvYyn9b52CdxXJZYzBkOEOg0oImQ/iqEpdyYzquiTFyso3eY1pPbfME9nTgXkyyF7IqXdWu5hLScX4WSKmrZUpBoxJCwHw2kzmBOalzJG9Q1Vp9RDPOKzFF5bqP+1TrhZgRvAeYJaUJgNpXePvdN1EtZrh3932UZYmtrUsYj6cgllx8R0/28Q7/Dsc3juARMN3eQeUDyuEIVV3h4OAJhsOxMLJ6rzhfBfZY1BXe+O0bGI1GuHntVmINdNHNz7+QT0u6O+62sIKd7ByCAdjEzTHhfKlDn75ezsq6OygdDAOnx6dY1BUGhf1Yd9O1aeAcyu0tXNmaIgBY1jUWVY3HBwc4ns3w5nsf4FcnJ7i8u4s/ee3rKItPFqL8QQAPM2NZ1dg7OMLDR08wn89gjMVkMgGMQVE6WCv5iiQhaKcAMtDoOK1lmwjgELWejSdVEzsnHo+LfR7nJl9y88lNgEIbxqZuFQkYVh1q51qC5H2SpKkOzjqEwQATSPBDxOB+s9kMs9kpqmUl9kWMlAROy2u516vKDg1wSYH4sizKOQOkajzOzlMGSABckxgzeUbF38WghHMuupGzIG0GgnUwQUKap/kxVdOAjAWBpL76prgCKHT2H31D5mJi/TyKAAFOnwFhPDkG/KxrYT0lS3QcQBG8S5iIKsXMWi6XWC4WqKsaHAI4BHgWsFLXvnO/voWCUNdV22ZP6xmjtZERYJ4W9nybDSAQIxCQl0BADIKpz/x7NlpeNgMmCANsrcF8fop3330bi8UpvvzlFzE/OsDSWJweHEr2bSZ4z1gul/jo/kfYO9xHxR5MQBUCgiHsHx/i7374X2HNQOK7IAbkjF6tAQEHR4d4/PgxPrp3F7dv3caVy1ckSWRMu+LIoigLDEdjCWgagZMhmd+M5qSzMV1LnO+6LPSF/H7CjTtK848MmD0aO1ZkG8nfX4iAwsl6cPnSNoqixN7BAZ7sH2F7NFxTT63HOcqPN7EARkWBYVFgZzSEZ8bBjRv4zW/fwv7BPk7ncxTF9BNdGT5VwMPMWFQ1nuwd4uHjPcwXS1lQy6EMrhhbBUZoW1FbUgQWGaolFq+jzOAXiJ2BouZT84aSXJ9bvHM6NwNMLORHUjelm4kKrZ1LqsUo5h+aVA1QvC75UnR3ZDQQn1H2gzAaDUHmCnztUS2XmJ3OUC0WsuMMvkERQWMwtCeRvp+mrRpwxAQgqgWb3FIZO2Q6oMc5uMLJBGdjVOTsafOFRo5nVCpJoMJoQy2JNyG/26W0idxue17Ipyv5uGq8G5tjIYiRuve1RH+tJWwD+4CqrrFQBiWCFA4BdVUh1B5VXaHyAm6WlQAPDhIeP3hxpVUVrylsuk/j6WdSkEqAQC2jzEj5a/61vi7DmsBR81lnEg0kU5iJaCPRPY1YpgBD3ePCLEsU79W9eQc3pXvldetGdU91jkCwMMBHT+7h8aOPMBoOMRkOYlBBA0BCSTABRSEbwGJZwA1KzGcnePe998DW4NH+HqbTKfzhgXi3DiaYTiYgYxA8o7AWgTmBm6qu8eDRQ8xmM1y6tC3sLUtg05Dl1rNRjZLsB61JY1y8xxhlORCbx7KMTDdQlgPYwsEYwqAcwDqH0WAYI6S7aIDb2DA27NLFnKAiG0e0Ok5Q+1Tol5+sFIXERisHQ0ymWzg4fIz7Dx/hSzevxnSl7Xe08AGHywoBwNBZjKxFkW0qNr3NBICIsDMe4bnnn8PvfjPDItqxrWphPr584oBHJ9RlVePRkwM8ePwEy9qjcCVGoykKZ+GcDJbWeqf0STxAhlOMGFXBNPbFeQMIGDKmYYY4z8KWPgowyvWjbZXWaqdZGXS8em9Dqy+0sRPkDAzlqhyJuuCcRVlMsDWZgoOGGBdboNlcdrVBXeJjGTIxUAvANKCC4+41HrcGxriWygpaRvytVv/WxoB/MWaOlh2Y4SFJT5lFtdAiUWOHNCSxgATsMICQ2rZRKfYBnwv5uJKDl8ABvq7hvYf3IYZS0DAKjKpaYj6f43S2wEyDblaV9K8QJHlt7H++rlH7Gr72COylj8Q+a50smCGqmhCvlVx2aG0UTGQGOao1LUhCKDADPsgybmyazCkCniSqos7ACSPAb5rgibKh3KF00WZn+nLhEpHkZVzpnjIGPfz6e2f36rOoWFHX6W1YwkcseQ5gjpu3r8CaEkQWwefzk9jIcS3xWiZbWzg6OcFv3/kd7tz9CAGMh48f4fLuJSxPZ9gebwMk8a+mkymYgaoKCFF9VhYFQqgxGDg82XuIsjTYmUxgyQBk4x2zehoLtX0iQLJdAvDLJQDCbFnhlJuNXwgszJiRHIcm/rYxWrr7/7P3Xz22JVmeJ/YzscURrq+Me0NH6syq7qpqsptkATOcIQacB5IPBIEB+UYC/ADkfAB+BZIvxIDgA0EFAhw+DDDsZnc2WvdMVVZWqhAZcUVc6Ve4PGorM+PDMttnH3e/EZGiu7MbtEBcdz9nn332tm3iv9b6r/8ykhChtCYvi6igLqTqUTlmazpdg0xkPGVZJsepyyG4f5vbegWPf6sI3Id8njSTYlg2hXr/Vdy/NQrwWF1y7eCAs/MTnh6d4ODKAhbOB56fV9RKE5QY+plSTK3ioMzIjabIDIY3g1kVz11kBcYWdK79/d/X7+tEfXG7puXZ4SvO5nNCkDpQ47wkywqssqK4q0Jffbz/fJLO7s8VH3b0kCRPuBwc/xEXRo9ZxHrzDAvIroMrIboCQ38OqTQOvvdcxGKeyl96KCGofoWUa4znDukV+vdSzarBPwAbkzSdK+DxQTYMKY1hKEcF29tboAS8NU3Dqmlom5rgHd6F3isTFL34IKTUb3Mp5HVVunx6fx3W0rGQ6DrMFXygc5Ke75yLld03vU0CmuIk7YHeGmgObnqjP/7/LQ3lsPFKP0SD1INruo5VVdHUK+qVgJWkDeW9Y76Y07SOuq7wXdfrSXnf4d16LHfeo7WJXoP1wmPSWB5chUKsej14RwGhk9800dGu+6sm1VBLc8w5x4Vpvj7/xbTokM7ydazIr7ZmE7je8GSR1pcLx8ImwIoHKxV+51F61aIervIoycUSlKOqzigKKMop9TLQdR5CnL/E6thaFkJtc07PTvmrX/6cvLQ4L+rx88U5zrfsHexw+OwlWZlTzVas6ord3QMsAmytNty+fpNlNafrOvLdXerlkq4o0MaifFx+N7hTg/l76f6Stz3dlyJR/GRJVuBlTAUf6NqOrm1JpmBdLQVEDzZ1H8eIVuJtNhHwlKOSoiwpi7JfU7MsoyxKJpMJRV5gow7RpefwBwuQfNw30l4k1yi74nrPUmyuFenQ3zfskaVbuLNlMcZ7xdn5OZ1zWHsZNuRGU44KqtbTBY0PgYVzvF41PDhaoNqOcWbYzg2TUcHeVsk0t/0YWT8nRZFl5PmYpm1+j3ck7fcCeELMUnp1esaL18e0bUee5+R5TpZnGJOhsOigZOKq+FDTItRvjGsXdgibi9dFLZ2evL7xmAcDJayzo9QVG23y8GilBoMM8K4/dh1CA7TftA7fMLrW33fh9SHfJrnkQwIPAt6GgzktjkqJ6GJe5mi1hYuWeecchGhk6fV3iJs5Fs28AuAAGyBoSFbWWq4hXYeJvAUXrX4Vq/cOwZTWSexwKOp4sZ8uenX+EBec33/b8MB4T+ccXdvGxVzATF3XLKoVy8WMtqqpU2izk5BS3XbiYXMOjVjm/diOnk3XewDXGX8C6A0mLk4qgNEXyLjx+rwXn6O/4IG4yiPxFXfLYGneOMdVnhSdwNHGGRRKXeVB+YaLeVoPrjrYh0vHwsWMTDaMkW/U1FV6NsK1udwG60xcKRLgDaFhMT+h6VbMFxW3b7wHzg+uE8ATFPig6FzNLz79Fcenx5TjjMxqQuhQdGxvTyiLgqZbcfjiGR99+B2qlaQGl2UpAT/v0ShKm9GEgNeaFmjbFoNGRxLgOilE/lGDa790dwPAk8ZjUFzgSKbXBUivgWj0HCupCxYijQFAREmln1zbMWtmnJ2dx/fip+Nz1EYkMnIrZQ6MFWkTIX5vUZYjRsWoh/FZpFb8mwilDUfDxbZhJiYKRxzaRpueRD8IZFyMev1OTSshGHdKUxRjtM6YzWaiBXUFbLBK8c5WwV6AlYd561m0jpUyVN7gXMtyXvNkOWM5PyMzgek4Y1pkfPD2bQ4mI0mBN1KDSGcZi1WDDx6jfn+S0r814EkTtescp2dnvHx9jNeGvCwpxik8IgS4JDAn2U2J87E5uIKK1l0YTArWFuNFnspVxMTew9P/nkDDxQuntzxV+icuKInDs+ENV0DPy7m6bXhQrnRdX+bbSB/otWWU3vPxuhNoUZIWbrRG5/naYu8cTSP1wAJh04oN6ykzFKhKmjj9NWt6D402QnXQkcOgY7+ksFoiP15x97x56v671a4CAT54nBMy+mKxoK4qqd3mHXXdUDUNy2rFarGgqeqewOuiS9poKaVhTZwrcdymavdKCXFdo8QDGcTHElUGUCgJ84RA6NYBnxSyDSqFc8ExqMUTF00d4Kpkgd8E8Mg0ukKrw1/OblKA54r5O/j3YvvGV6IvA31gwNsZfJ/azHJcf5F/02VcbleCo3DlWhFC/wUwBAch0PkaYxXtsqara4rc0rkagkLrLJKmBdw+ePKIZ8eveXlyhLJaPK86UI5y2taytTWKAM8xX5xzfn7G9eu3ODuZ470TDqG83XOsQlBs7eyivCir+2SPhoHWS1qblbr6eVzo4uQUChe95fH+L4cf1QBAhkH3ekL0uvWcos1OjV2q4z05qmbZj6dkIDztn4tQAoKC0XjEaDQiz3Im4wkpImCtpSxLJuMJWZa90Yj9V9VCbwTTj0UVY4nhX9Nam1lN03jRalKBxXLx5jVBgYvXXRrFxBi6UtNMM1ZtQVU5FquOs5Oc89mC5WLJbFWB77j/7BVWwfbWmHdu3WBUjNFZTtUsJPz6e7yn3wrwSFaF5/hMkHbbNqANxmZkRd6XCjAqMvm1lDqQGL+OLuPortTCDQjJwlSyqK9dqXFCJk8Iaa5ckc2FLP79gv+mVSduIjqRvtJs7q3DoeUnxw+zoS595wUwdnWs/vLimhj3SS58zckhAh55TWLe6zIM6fq06kjp+C6JLobNCZFS6BOnRqmYYREGHiG9GdrqrwMVQyP+UmjiMmE6SQL82++9EaAhXkXvfAQ0ori9WCx5ffSa5XJFVS9xwdN1jmpVU1c1WikyY8Qa9T6u6eu6YsMsO9JrkeuCF5Cv4vhM2U79dYX1kxXrWH76ILwMIdYOvYTp4LU3wfce1nUT20HFze1CX3xD0KPg6mDUFUBDZtpgY+ut1Dee5Zs3Hy5tsEQweLGpcHkzljf8pWt+Y1NXbIVvWJs2EzEGFrnqcF2FaxuuXTvAdUdoreialuWqom092loOrl3n6dOnfPz5p7QmrhNIWLPrgKAYj0pev37FarXk1dFLrl27yaJecjvP0Fbz+uiIGzduUNhMxnfnaF1D0JqdUcGoKDg7PkPR9YCn9yT31/4VoPKKFq6wkhIXceO1NBYSJoQ15ytdgEpZuYPz9CcYes9C1HNLhHeFTeu8EreTClAvV9TLis45glorCae1rMgLRqNxz1HLs4w8K9jZ2WE62ZLMtHgd2ogQa+9p/AYtpPsevhb5Gyp69GCYSBP6BICU/ah7PuzvM1cLiqJg3nTYzBCCZzab49ybFbonQIHCAU7BKsjPUS71FHe3LG/tl9y6NubZ8zNWyxWL2Rl1U9EGx+uTFa9eP4DgmY4M1/dGtO5tst+jOOZvdKa+oOfZjLOzBS4gZOSsQFuNMkYWb4YFPftPDxj5AIaU9RMfLVpWoLhghKhaHP/emAVXgxmZGOsFczj8U/PB97gmhbWSJeDZrLUlqX8hGh7fDPBIKCFmSm06c/qJl+5Z+kk2vcQlSNlSaXM0RktauA6DsJHqa3r5EEArdKxsntj7/QSRvZeNGiwJ+KgYxkrZWon7g3iTiJt+CEI4TeG/TRI0g5+XeuaNffZvuiXw4EOgbhqWyyWL+ZzOOebVkvPZGbOzGfWqEsATfPR2+b6/nHf0ulABSdGNwAGIrvLkXVhnVWyCGCSMGi6P1+Sr6UOzF3gvsmlqPMkiXG8FlzefCHrUevwnh4MK66oswyd2Fefkjf2Zjr/4rVcAHkCkH4Zug40z/fbtqg0EJISWDKv1/qsvhZ7kkn6Da1CX77oHtFdcXJLJSN8RVMC7huVyxunpCc5vMxpNpMxLAQWBfKxwHp4cPuHR04eU44JqNcf5DgXkVkq9rFZLrl3b5+T0iGW1xCuPyQ3TnTFBB67fvM5svsBFPCeAxhO6Fm8UzjWYvMBRo0MUWPXrcZLGkHCOvhngSZiJK/rkktGUlv8w/HzorzUMjqF/bR2m3TA8486/4fVW61/kXMmqXJPl19m48kpbN7R1lDrQa2+leaJROkvWN9poJuOCyXjCdDIlzwrxzGqpKTgajUTqg/X9DoFb+kYnLpw4TuRSvPIy9wMxFBnnr3eR56TQQRwHyYP1uzdFbsUALspCMi+bhqa7mkic9tBMQRbva4R4fWpg4QOrBmoPVaMYlxPG5ZSdrW2WiwWvX7+g7WpQGmtUvx91XwGwfpv2jQBPCIGmcxyfzTifL+k8ZHlBbrMYulIR2Q68G2owOUKIoRMAv15kepLjusPW/8tGjl+/0y8WV1xfOqY3EIfWVHpvY+NfC5ClBUpdtC6VZCUAl/NUoZ+Ba6+SXF8Kk619H/HvweQWW9ZglFgFiWgsD1pS2DWqrx2m+mTAdFKF0g5lYjktr/ABnFLI3Fjf38a1KrOx0KhYA8vqGDtHSIJWR6Tk12TEvp8UEK9HJXfUle33aW98szbkHEhYSSyhznUsqhWHhy94/fo1r18f8+r4NWfn57x6dcSrl6+YnZ+TZZZvfedbvPfee2LNFblkACIZcGmf9t4JZA1JoylIcdl4Hd/U09Vztda7CqlvB6N6AD7Cuopc/5kEcNdnuBrwyFk3AUFa/Ptue2Prr3EwRYcf8FcSgxWXAYgYFxfBhr50belmrrqaN1ypvvyOgE5P5z3WppD1wIi6cFp18ca+sl29yV8Z00rehvWCR8DhcdgsZzzZpm09KMMnv/6MBw8f0QXHwfVrKK05n8354IMP+PzhA5bLGRjZlHVe0DU10/GILLMSVm0qlA7UzZLJdETnam7deovXR6e4EGi7gA1gYvmeZbeiWp2TZR1NOycjw3gLwbKew4P5/MbHtPmGcI5g7fUYrOdpPU5bRvz4hnfEq3VpoAtj9LJn5MKVhoAKFwxgNRy2CcAIb3P9yGRdC0pH/kyc1Z4esIQAIUoqKK1xoeP8vObs7EwOjQapeH4smc0oRwVFkZNlOdZmFEVOORpTxn00zzIyZWUN7/mrAtT7jEirsEajQ5RgCB68JiiPV6CD+b0suQLWNMF59vf2AMNiOWe2WnCwvfO1X7HeUwVkTDKFzwIVsB0Mp7rl2fGSxXxF07S4TgaJUZ7MBLLMRLmDr/6mEMFh2zmqtuXw1QnfefetNx7/lYAnFc+cLVa8OjnDKy1Ax1iMzdHaSufrKLgXP5P0cS73Qug1PGSkJUHBtLSrftQrFMHrwTk3vRRA/96GW3k44mPTYfBeCvGEaJvHiZj0Y66K9Yd47Zc7iAGwiuUvkrJxvBcVQ3RDr4oQixWZyXqwk/Rw+jTznrHvLnsEWE9epQUY+TgBxBs2WNR7ABoXgQh4ULHYp1K9PhBILD/xfPp+T10S9ZLURl9sbp5Xt9838FlbWilFelVVrJZLjk6OOD0/42y+5MH9hzx48CWvXr+iqiuWiyXn53PqSn5XWoCec118lh7fdXz5xX2u37zO93/4A9794F2mk1H/jAhCFrba9lahByF5pi209+5ddKV8RR9shKsicTdmIW6GQmTD7I3iQWbUZZXiq/tuuFEokBDyVcN7APLTZiSGiLzSczy+yiOiroIwYTPUmn5TQym1wS2Eq89x8QaVAuX1ld1cNzWPHj/i7jt3GJWFfDaYgfch3mVQG9c0mD5XjuDQu0CGF8Llo+NasDYE5dNpoyrGE6Y7W3z8ya948OUjmtpRjCaozLKsl2itOJ8fc3q2zenZEZ2r8ZFq9P67b2GAzFpWVcVyVdF0LWU5onOOqq7IsxGowN7BLqfHp4ARAmrogEDXrlgtHL6b47oOrRwqlOgg4+Py/V3qCFCx5wbvhxBzbxWooUhqzx9T63nRP4vhF6j1eYffBdEIvApky79KiejixQv2CfQMxu6mt0n1Q0H5pPI/HOeDeRE/4y/0SV/vKogydtuuqOoVGHqaQJ8wEveCcVFSFgWj8ZiiKMiLgiLPCcbhXIeOIMQoQ/AdLjh8l2Os8JGCRkDa72mtzQwYDXv7eyitqOuGk/mc9258zVo2aMN9WaPIfSCzUBaW9+/s0HRbzOY1z43l7OyYrl1h9JpDd9WSFkJgUTWcnp1ztljx+YPH/Pr+A85nC2bnM/63/5v/9Ruv5ysBz/HpnNdHxwSlyMoxWV6Q5TnKKMT7oSOS2xw4SSNmuNH1YoEaIQ0oFXUE0vtXdJZC3EIpdhk2SZFr6e20mQ/mTkL7gXXdrYSxZPfuN6xEy1PxHBepl+vFfrOFmLaXAFfvvQmDEJUyMdtJRVVSG/Um9AbI6b8oItbQb5TrfhSLOJHwYrqmltpWSVFZBaSieVi7ejc2TBJvSA1CUyG+o3tQBsTnQ0+ORaXsuct98aYW4j2ovhO//sMXQynOOyFou5amc7x68YrDw0OeHj7l1fER5/Mlh88OefXiFScnRyxXlRS7C4HVcoVzjsxasjyTIqlFwdZkwt7uLltbU8neyAuOXrzixbOnHL58wcvnzzl8+pTJ9oRvf+9bfO973+Pg4AClNCYIYdikUOSlDU/BRc+Xok8pDiFl/A36o/8x9Mxd5oOlUGuP6y9wfAZf90bAM/RsGPnGq0GL39wsklWMW4dWN4DWlRvhZQNi84Y2vZBXHTrkLl24wAvnUoikhN6YS+k62rbhyePH3H37Lnlm+013cIKYhn+FUjOXb098V1dklaXF6OJraPE4JFyl4zBRisOjVzx58pCXr16gjWW0NeLlq9e03nHj5g0mkxHOt/jQkGeeRVvTOR831Ibc5pgAofVsj7d5+uIZLgSMzVmultRVx43rb3HzxjXOTk8lPOM9nWtRocEqaJZLVEjAviO4pvdkfl1L8PPixp/mQojG5jB8JSBCrzu2X2wGJ0ng5IpLkDDP1VCYuP94dRXgWZeIDgNPTG+gEg0Nht7Jq+dIArEJ1G28Hn/6uK56D8r5fv32MSPRBehCTbVY9I4D4fiJYn85Kbh9+ybjsiQUHrTGB4d3HkKHCpJlpsMgA/r3AHoSpWIymWCtoetazpcrPFdr8Xzt+QCr4KDMmFrD6WJFrgJV8BTWcH3/Gmfnr/GhoihyRuMpAUXnHKvG8ezlEV8+ecrr03PuP3zMi1ev8C5qh3mHNvrK8TBsXwl4ZsuGcrxFVhRom0d+id5MNQxEkmVa4ONGn6xAFVF+UL0goOjGhAhmoNffwaxXvKTL02/8XJp4Kf12bUUPvEUpvJbGYb9Rq7V3JGrjpfPKHLy8o6s3jB8pxjkI+SgtMCqoXlcny7JL5RuGIOeSHtGVG0Ta+NTaOYboChltcT5EXBjDTDJz11N1YyO8ENLqw1XrCS/AxgsQSqATWcy+CdgZdqGcx8QOVJeO67fREHprdL6YM5vNOJ/NOHzxks8fPOTLR484PTtltaw5Oz5jNjujbhvhLHmw2pBnFptlbI23mYxG7O7tsbW1xc7WNuPxiPF0zNb2VJ6FUn3tIlSgbTqeT6Z876MPOT455vP7X/Ds8Cmn56f8i3/6T/mrv/xLPvjgA37wgx9w987bTMopQak+m8UPAE7gcrhEPHdXbufx3zD4060tzQseHgAd58u6Hy/rxrx53qcFcQClw9UfCGot0TCcAmnaDQbj8FYuXMcbLqS/4A0T5sqTvPleNoGJTB2NvwCiiM86sxlVtWI+P2dvd1eyDwcXpKJRodO4H4zPdK4Njh9pzl2+wEvZXwOjRqaUpsPx8MkjTmYn/PSXP8WHjnffeYfFfMHzw5c457l58xbb0wkBx2q1YLmacfPmNY6+OAZgd3sH37YokzMqx8xmS+7eucuT588IDibjKVVVs1rOePr0Mf+t/+af8+LlS6kt5oXErkPAakvbdXR1iymQUJJXAgq/4eZ51dMLShF0rP0UjSkZPwODWKX1et2vF9AD4eLyESJ/8U1jQ4kn+iLBWnaVdUHpoaEu+1UK00fA8waDYvA19D5TdeGN/jvX6tw9D+8C0IbE4YlrhRGdK2885ajo+6XtHNZIrUNXO/EWhU6ODUiWnb7ay/mbNoWE5ra2xuR5ifcdJ8dnUbjyt/uC9CzKzHBrd0oIgRs7gVs7Yz5+cMxkPKVuYLmo+cmjX/BP/vE/paka5lXDbDanbhpsZkVg1Xus0bjgRCi1dT2AfVP7SsAznmxhM8NaP4a0BqerJ7lQVH9AXKAGgEgmQkqbDv2ATiBB3J4B5YfW59ArIINNFpGLPJv1zzC0rAYeDnkjnXet6SATcPM6NwHWhe+42FRUKY5uRq21hKkGIaqh5s3lz0tvJJfxmpgdIMRUzI3nF3kaIfSLg1aaoC0Qs6l6ABdYE8MHOPKCRo9KICcu+Am4Ji+TGvSv6oHa1xHJ0mYg4TXxgkTQFKScwKquOTs/58mTpxy+OOTo6IhXR6958vQZh88POT09oa5WBBRN29F2TmLhJiM3hr2dHXa2t9na3mZ7a4fJZMLB/gF7u7uUZSkp/DHNu1otqeuKtmtpliuMNayahuA7SUnNc4xWaB0YTyeMx2Nu3brN+fyMp8+ecP/hPR4/fcqvP/mce5/f4607b/P97/2Ab33wEVsjSWXVcWyvs/Q2J14AguEKC+wSVCFZk0N+1FBXKpFv1w9WBu8lS/xKt2kP+ePHE5C+AmgM/u3DmhA3k/X502i7GmBfcR2K3hgZdtNlftHl8222CyRuIFxMKQ9xc1WKwlpWlaNeLVE7U9quwcXvVEpjsLJxaBOTGS6EhEPAd77n2wkl8WrAcxWpV+kARubVyckxP/3FX/Ps9SH5dMRoPGb/2h6vX7/m9OSUIsvZ39umLAyTUc58Nefw+VN+8IPvYHPL23fucLZYcOvGLVzlePnyiAf3n3Dt+gFVtaIocvZvXKMocpxzLJcL7t27x5/+jb/FaJSTF4bFyRntqoOoyN01HUZ5XO8ajsD9Sk2hS3eMh8sq2EoRlJaSOQRJwoheb6MSpYCoCKIIIQINpWJGkO9Lalw4MRuErSsucV08evPNjqQ5dXVISyWl6RjeTNvQZU/jYJy/CeAGLcaQip5D59gcL+JZ19r0QMUYg7ZiLE+2ttjZ2Y8FtnMwOV5lkJdobdDFiMxktF2N1fobg9Nv0pROiTMZRTFivjjhfHb+1SHs36CJHpkYB845Pv30c548fcSro2csFud473sx3iwXKnRKnHLO03Utq6gqn2r2ha8hOX8l4CnHWV8vpV+ik3Wn1i+EaOXKTRDDQuuNeY1DgvBplOpfC4EYd1wvdvK5NRJOm3Lov/jqppTZWKD6I72T7JR0wtRierYcP9hEFMK7uehRSieNiM4YkWfPsiyGqobek/XnrhYhiyAuArjEyl8Dt/UO03uD+jjXeitKbkcZDPJ+gi/xwxcsL9U/x/h2gp6S7aUjYU5iZr1rFQacnwRvkxdCD0GUvCfV4lvmiyXn8zmnZ2c8fPiQx0+e8PjJEw5fvGA+m/Py5QuapqVtW4J3ZDbDGkMxKpmMpkzHY/b2d9k/uMZka5vt6TZlnlGWUf7AaLSyZMaKXgQBcLjO4bpG+sU72qbi6OgIQlRwVSLTX5Z57NvoDlYBbTS51uzv7LOzs8O3vvVtnr845LPPPuP54QsePnzKgwdPuH7wl/zw+9/nWx99xP7OHjazKOcHfXPheavQz4P0/BOnakMGoS+UG/pxsAY8l0MuKYVWX1iI3uyC33iFxLuLHxoePLRbLn/n8J1wyd8Sz+0hXH6nz6yJ35Pu90rScl8ob+OyuZgh1Y/7gWBp38daMxqVnC+kBMpkUvLq+BkORwidhJpaTWYKxtNtiqzcxE1BeEBN07K1tS1h5HA1uE3ffampgAVevnzJX/zVX3A6O4dMMiW3xhNm5+ecnp8yGuXsjLeYTibgOu7cvMFP/voJ3jnatuXP/taf8YtPPqV++Ji69phgmG7tUbdCcD188ZxylKNVoKkbUJa8yNAa/vm/+Mfcefsu29tbuNWKZqHwjce5QPAaFwKdkuxO5R3qksU8gNxJeX4De8f3gmTEeoIIY8Yx0KqA9oHF+Tmnx8ecnR6ztTVmd2cbk2ViAKPIyxF7e9ejvnTyoA7WKlSsBB85K5fGdbwmsao3ntA6X2943JCWoEC1spIO9pyv2uavNmgVAgFTWM2Ddxv9pZTC2AxtRPtHGym7YbTEO//u3/sHzBdL8jJnPJqwvb/P1s42Cs1oXLCztcO4HDGeTshsJqH66ZSyKGJW7Vc1ddWPwbsKZUQxHTzBKxbz6iv74aoWNn6Rv+ou8NnDQ/7FX37C6dmMh18+4dWrV2S5wWZB+kQWPnzwNE0lwCbW6nOx7FJK0Q/+Cg2wK9pXAh5t1ZvG0eaNqEgEi3u2H77Rl1lQMvr8+tNp4VNxYCmddnuZTGEjMWk90K+yXNcDbtOjAQjPJb2bFl+l8NGDoqKFPKwbE/0d8puSaaVjDZjeg9NXCtaXQ2OxbQhEJ9D/WwPkZE2mTZX+dwlpJYslbSAXTN3+OjZDWvJWJFz3rnd58EopbJQT8NFa1j2wUNRdB0ixyKPjY549f8Hro9ccPn/OwwcPefr8Oa9ev2a5XPTVsHWkplpjsJllb2ePne1tDvb32d/fY393j/FkLPV+coNSYuWt7yngXIv3CjoBum1M78+sFuAZQ3dx22VrOmEyHqFT/Nt3ONdK+q/SNE1LiBlpIXLSghJAWtqSd+6+zZ3bb3F8OuPho6fce3CfFy8O+f/++B/yF3/5E9595x2+953v8Pbdu0xGY4aWoVx4SNS1fgz04Ed2h/45iRxC8hK49QdIcA4uzm7hCmw+7quEFC5rJSULN51/YPWGi2MoflekWQzWrwvbx/D7ruJZhI37ufDO5e+7ClRcinHINbh+ixx8XoFWnrLM6NoVb9/9NsVI8+L4CZiA1YZRXmDJaFZLzs/PGI8nbG1tURSj9bm9o24qxn4k3o8rruFNLa0Pz58/5V/+y39Jh2N7e4u33nsHrOLl8UsOD48p8pxRUVBmFl/XvH3nDuOi4OmjJ4zyER//4hO+/e3vMSm3GBdTuk68EUorilEJRvHi5TO2dqeslkuMLRiNJ9y8dRuF5v69z3Gh40c/+iF5IXUNq6UjdA6LxQfoOoXynuA82m8W3xA6g5c5FE0pUWWWZ5rsNB+k2OywAKnIknhevDrk9eEhOnhUW1OMIMw7ll1L41peHZ1x7eYdCmPBWFDidUsAR/ozAp5hTUGlIghNzyUQ9Fqw8NLY0pKJ1Rvf8UnLDPNxP5NzxRlx6bn6uG/1atDrwbgxJ8STTz/0E39yWMon6awpBdoowPDwwZc8fvacLM/J85JgMxyBEGuTGWPJixybZzgP1lquH1zjnXffY2drm+3pllSyt7nInWhDluVkmSXPLWWRMylztsel9KEGa6SPWxc4mi85nlVCZ9CZjBUf8KmU0NeMe1naAmd1y+HRGU+ev+LV62OePD/jZz/7NW3tsBYIDaNxQUAI2s63sZCxx/uW4LtIXxDQuBmKpI926KuVcfv2lYDHbu59vacnPs818SskS22wvsfPJa+DVxAZyyRnBmEdAhDQEzNOlGysl0Bz/JKQJtiwY+OFXnTppevoCcpDAcGQgEq6ptDXDpIwxTqDykRgYxPRuOfaXfDmpH56A6hRly99s4XNfr7ygDe8diXoixfUT9kLaenpopTSKG0GG55krhmjRbYeCS0tViuWyyUnJ8fcv3+fz764x+HLl5ycnvH69REnxye0TSOI24UYKpLOstpSjKTmjbWWvb1d7ty5yzvvvD2QdxcvSNL/qdt2oPo80JlQawupH2NA2wa8NxiTXagjpuMiEtPLle0LpoYAXdeibczxvwQK6HUhrl2/zt7+Nb7z7W/z5Nkz7t+/x9OnT/nlrz7m8y++4O5bd/ijH/6A9955h0kULAMERCk2tJ7EiRZRfVgDjTWKeMMouOLlS+TmN4wU2AThqX+i32XjXAn4X2yqn/BffQ3p2Ktd4FcAE9TljCAg+IthAOKilDyb6bsDPjhJR46ZkGglfaw1eZmhdODk/JgvD89QmWY0KciznMIU5Doj1yW+09RVS1Wv+lphXikhzbsacFL1IURLb8MP9uaZ29Ydr1+84vvf/T7TnSnb+zt0OD6992u092QG8jxjUhRkSrE9mfL+2+8yO1+wmlVoazg7OuPLe4+4dvMW16/d4sXRCc57XNtwNj8ny7epmyVjl+MC2ABNXeF8x2Q8xYWOn//iZ9x+6yY3dvc5efGCrm0IdScV1UMUvnReamC5GLqLAN0R6EJD4xs6YgFYJH07pA0JATzBr8OwSgFWBFRX82MMDbkGbTpGqsUGD6FFq0CBg7aiq1d4ZVDa4CO4SeEuo7VwQYlzWxENMcnuhWi4JK/qcL3rx5DGq8s+xVS3rJ8FCUCpdeZVPzajZZHIzilErEMYjO71BmmUiZm5Ou4pFqW1ZDvHMKlW4u0xtgStqZoWk+WIWKIWlOVF3sWHQO0amjqAyaioWcyf8eTwBKU03is8FmUy6R8lXlejTc8rtVlOmVlCaKKnKYOgqZuOs9NTtNHUdYPJSj75/BH/1//inzAZ5extT7hx7YBb13Ypy5w8s5Q26hf5wLLq+PLFMT//9QOevHjNwy+fcD6byz7jwSmHKREA4zyrqsL7Fh/EGBXPEnjfQeji+iDPc8iLvWTAf0X7SsDTF/bi8pTuN/aLg0VdtakrTBwKXstONXC09F/ihy7EMPREMCglofrruNwub1SKNE7VJscHBourZDoZ1h1p7TBMpTecH2nD/aquTX2zcTnqwpsX7uSy3f3NWrIW5B7TphXBI4m4pwc/9cbgkOerwcp7AjQcy9WSo9evOTs749nhIffuP+Devfs8ffqExXxBvaogpGy70GtJaJuR5xl5ljEpR9y6dZOd7W2atmU+nzObzVktl7imZW97m0wbXOfWHKGQMsXCegHR5kL/+N6CWuM2jdEqlmpIi5MsusM00HRsIidqPQABPVLfBJAB8XhohFC4NR3znW99yAfvvcvr1694cP8+Xz76kgcPH/LwwQNuXjvgu9/5Lh998CG7e3vY3Iq1qdaikSqd+eKE+RoXoBgLXz8uriqYmfrkwtk23tvIuLxwZH/NV53zAschGTV9XHujXQY84hm4dOZeYK4/qK/FJyrTrevwnRtcs4R5ddTxCkahdMbp+RnowMNHD+nwOBXouprJJGPrYAsdROBPZwaLYrVcEpqKtqsZjUo61+BDQ+db8Wo4LgiSfvVDCV3L27fvYPMctKKrO+puhW9ryswwyiyjsmBnPCFDc2Nvn9CKl2Wal0y3t/mjv/HH7Owd4LrA9nSb09mS8/mMohQLfjQqGY9LjIFVvcLYnLquePTwIfsHB2RlTlgt+Gf//J/xnfc/INQNdb1CdeJ+VEbHwqGe4OKYD6H3sjkCq3bFrJ3j46ZtlUJ7Lxl/Xuq+BR/6+ZLZDB86jl4dMd0asbNVoN0K6hrnGpTv0CGglccAk1GOb2vaaonXVmreqFjzJgq6SVbUGoQkAIHKBq56OSZ5dy7vVZFQvflihC1JDHS9aMsulk6ULMkgdnw8LBnvOuh1liyyr1hjyKztowQ6gjYVVbOVDigtCSjWaMpyxHg8xXUB3waccuSZZlUtpJyI0hibSjd1aNOIQWsNna9BZSidg7IEr/EuLjVK4VTAK4ejoV5VzIO4MJyX8K5Sus+A0loAmCNwejbnv/gvf4w1ki06GpXkRcbe3gHXr1/jw3fvsD0d8/DpC168PKHzgVXdiFL49evs37hO03ZUyzldVYH3zM8XnM/mVPUKE7X6mraOiT/RBaFMz/mC0IOdS5nOX9O+GvCsn+MGyIELy6QaZHunte3C94cgrHkdgYfSF7gDxA1GAWip4BxCoo9IuCt6H+RaBsAlfccVO8F6zU/eA9UfLF4c+T83ljxL9b8udmDaJL+qty40xRuzuy5d+MDdOfSSXfkRtUkwlb91vLeL+ixp40oFPiPYYb2Zry9PrJDXR6/5e//gx3z26y949eoVL16+4OzslGpV9SVCjBJQYaylLIqYIZWxu7fL23fuAIGmrejaBt85fviD75LlOctlRVVXLOYLFvMlbdNwbX9fyMUgi8eFLAa5TIcPUdxy0HnpPhKQk8wrE0mRIocendOEIMU6hy5QpVQUolM9KLr8bOIf0auhkwRDENFBkxveun2T2zev80d//CMOn7/g41/9gudPnvLjf/gP+dnPfsa3v/1tvvv973Fw7QCbWXrNAbWeM/0YfgMnZHhZ60X3zU0w1PqgNxMN1wT4dFz6Xys9tHPXJ75CeyZ4vwGW+sMDbwBwV3htuHq6JMmI9fVJcVUfPG1by7Wmun1EpfcQhAgbPWvHZ3PuP7zH3taEa3sHnC5mnC+XdDUsZicsZy0fvvcBVVVTN+fMZzMA9vf3OTk75mzmmU4m5LmlbecYb9HeIEx0rryXi00jYQjftSTyvw4wKXLOlyu2RiPyMudgf49SWbanW7imhc5x8+A6f/RHf8Tu3j6ND7QeTJFz+9YNZp+fxZTmwHhcUo4KjFHgOzIDZW7wjce3DU+ffMm9Bw9YLhZ8fP0G/4P/6D9GG+HxgGwiTVthYk0t7UXlN3iHimZG3VXU3Yourp8GjQmBPCh0iMap83RNK6EyY3j27Alaw9b2HYzxjEvDYlWhlSPEFGvvOgKasshoPbimBisbszJGZBISoRgVkyrEQG0d6DzH+4DrfPScrPmnyfwbjrQgwjaX9ivxSqYMxUHUIFyWIFAaghSjWxtgaEJYAxobvcMmAp0+qqFUXxZCazAmlQ8Ca0WjbTyasrt7QL1aEQLcvX2be/fuc352grEmempk/UylLZQyoDNMNhFCsLegI3jQnoCLavEaVA1onNcE5Qh4Gafxni0qWoNd3JrFa0/waKVpm5amaamWDc+ePufnP/8lYKgbCUEl75q2BptbbClCrjrAKJNw6/Z0h1s3b0gExRqqesnZ2RkqrtmrxZx6Ne8jTd47cZBEbp8Ykl+1gqzbVwKeq5wT4Yr33vihtIGHtHGpAWqKljtrMKVVlMcmbkhhsNAhm6FSEhNMnIP1Zr4GUJfd+4klL00rLfWptCEzRmKhEfgMj/tt2lX9FC4eEK5479KX9j6ijTNc9Jyl2SobePLuCFETuLTBr9PQL36dqN+iFX/37/1dHt5/hLUpLm3YHk/JC8v21jZlIZWHx+Mxd+7cYXZ6yunxMXv7u7z77rscH7/m+LSjoqVqG7bGBVlRgAq0bU2eGRgXlPt77O/vRTDS4SLj3nlZAF2vKxF7YT2QLtxXRPvRrXywv8+169dpmpoXr16xWC17sa8hqEnnuFhHLPXh1S1N4jVfQSqiGKaTKR99NOXunds8e/qU+/fuc/jsOX/xl3/BLz/+mA8+/IDvfve7UsuoKARAKohKHRvfcWl8DN7RXPHGxeMC/XgY1uS69Nx7xLUJeOTgRJIeXhWs0fm6pRDkxSalJa7KnBDi+OaxCq4KaW3cl6dultRVRXAONIxHI/HoqBjHT9k7IYAKdAROZ2coa9E6o7QFI1OzpMIpKIsR88WcR48e4SNBE+/Y2dnB5pq9gx0efPkFVTPn9q3buFCjvANvINhv5G1TRO+VX2c/yuwOhNahvGNrPGJnb5fpKKcIFu09FsWLV6+ZjEqKrKBe1mAMbSx3sre/w/ZkzFu3b/Hw0QNev37F0dFrrl3fBdXi2gV7WzdxrWe2OGM1P4OuYTE7ZVbmHFzb5eXikK5tUcGwtbVLU1V0bUfnnGi7hI7gWtIS7kOH0AACnfN0gBUfL8YHrDLY3OBaz9HJK1bLOc45trZLoMJ7J8RUI2KtxkpoxmiR2dge73A8r+hCh3LixfGJAKcMCgdKo6xQJFwXeO/Dj/ijP/vv4AN88tO/4uG9LzYKJYv5t/mgglYEnZSJ19QEWWfcYCymsPkFzSC1/l+W4fU6bBHvltWiGKyM7j3Ym9511Xslk0fMxpCXDwFrLV3XxnU/MB2P+OiDd/nRD75LXVd0XdwTI2D0zjGZTClGU7Qa4X1BVY04Pl7SNDXBO5arClQOocN1GSEIl8krL2NUB3yoZb/VHm07jFUEDS444T7qTe5RKjAqBHKND3KvEmHQuK5hVTmYyWM0SjGLMjQ9n0mDiUroCtU7H4o8B1cICA2RYeUd1arCaCnfoePz+504PBfbV3oeLoyD4Wcuh7jSJ0IvtAQpajrcjgfM68EXpJpc/Vv9AJLtIJGQ+8GldQ9ytFJk2mD1wF3/O4Kcq5piPV8ublxaXVzEh7+njSmVtRh4PeJDXWdrgdImuiChV33Vm3yQfkCh+m67eL8hyKSpmoa6rum6mju37/DeO+8wHo3Eus0s060pq6qmLEtOTk64c/s6j5slZ8ctuYGd6YimHlE3BU2zwmSa1ndYnZNlUm8G76K3JmCshKtCsMTpIZuulwrkdVNRNxU9U3Z95/1dJMCrlSYzhu/98AfcvvMWwXseP3rMX/7kJ3R0wHpjTh6d4d+7u7tXeim+UksmeUcUYvkA4/GYt995h5s3bnJ2dsaTx4+5d+8ev/rlr/j044+5e/dtfvCDH/DOO+8wGpUxyS2tttATnrlizimpmL3x0hsuL+g1AO6fub/CgxR63LzhPkr48uInkjZJWoR763Zg5fanTiGtjW4LMla5fB96UAqgP4eKwDeAcx2+a9F4TC6hUxVrIYkdJZlB6dSBQOsdq64Brelah3IwtSVuHJjXKxwd1kJVn7O/t8f5+Rk2ywja43zD9t4O2cucZbtitpqxO9khBKQ4rPMSvrj4DC5MsJA6bEh4BLTxvP/OXZ69hGU95/ruFtoFjPOozqGs48Wzp+zv7ePajjY4TJ4xW8y4/+wxf/q3/xu8d/dt2QycZ744p65qqtWKorRsTywmrOhcg2sW7G6XbG1/xHK1YLlaRF6SzPnQKj78cJf57IxF3aC8Q+PxXU1mFWVeiFfBa9q6pnOteHEJdAqaoNAebu1fgzbwcnZG29UxqcPTdRVNswQCvu2Ybo+pZktCFNiTZygJJmVRSCp7kHBGMoKDErFaCeOkQp1wbX+fnWvXaaoVi/Mz6tVKalfFPeCi3hnILAtavAWXiPyqV+qhBzxK9dMjGV8aTUgCsGZdQNQa2W+M0VFgMhnUF4xPpUiJPZpUKFoKkmqtROzv/JzcFngfWFVL3rp7m//Z//Q/ARRlnsV0dAkleh8iITnvTZWmgeWyous6msbz/PkZVe1xXUu1aoRP4wOresHJ6YpXR8d8+egZx6ennJwfE4wjaIfzHQ6HURLiyrNsvXv395XApUIZIw6NyAmV0F2ihyi89nHtEv0hrwKuSeu5pg3CnQTfS9IEHDbPKPIphTEcH7+SOnBtS5nlHFy/fmn9GLbfuAzpVWvr0Bdx8Q09WEwHBvp6MY0bxuXskbUrsQ/PKNV/z8aRCbAoUVrUxJhuRMpWrwlhavCZf53t60Dgpd/D8FPJwoCo8hithRhr9VBXDfP5OXW14u2378RyCTLJE1aQXrpKNyQtIEEyqZoagueP/+hHfPjuO+SZZblYokOgnI5RSsSwzs/FFVsUceOJC3qR50zGE+pGUhiDUhhrybxHjUoIgboW3QRB5XojpOS9wzlh4mutybIcF5J2xlXPUO5Mx1DbydExN2/fQikVFz6xIJNzZ+iNSGNPFoMGa218Buv3r/L6DMdsCKEXVg7Bo1DkeY61lunWFrdv3+a73/sejx8/5otff87TJ0+498UX3Llzh+9///u8//777O7uYmJcPF1ouOI6QkzFHl7Lmzw+/mKxUeif0RVHX4WDrvS46EHYbegxu1J/KIQrPDlhDZY2XofAWuywv4rgB2uMIzOGzOg+FBoQgm1IDOOwaWR0ODovXJ9OWbquAxcY5RanDHXXojODQTGbHUfOgpAl66Zmd3TAzv4eT5494vHhEybvjymLjGbeopyLIeX1PfR3dtUSs4EcZZWzKPamE3amJdZ7sdZbKQS8rJe8fPaC27fv4psWrxVGWe4/uMfR7Iyf/uQvuXP3LkoFquUc13RYZQid4/b129w62OPo9RHLxQowjErLyltu3r7J0evXPHr2mKOXr5j4EpqANZrJaMTrl4dkCqz2lIVhZzqlWq1YnM9ofYdTTopXOodXgWDAGwXOMV/Mef3sBfVqxbgocW1L1wVcs8S3Unyybiqu3bhNU9egPeVoJB5ar2mdQ6PwnYse0MDFWoJKKbSTsFXwgb/65/+Ee598zKpqmc0WksHl2xjOljWo98QMHoXvn8PgsSSvjVgIEKKdEGkVPoSY0akxOkPpTKoQ9OErKfasDWCEl4P2kYMk51UpnBZDWqk0hLYWm2d9GQ7v16BAxFk78twyKUs6PFmekRlDwKHJImQ0G/ubtTAeT/q/33ln74qBKXNVsvQCVeV4+OyY//v/+8dgLW3o6HxDVS+p5ku6pqata6q6iuRi6RfnxfPYOR+TTTS+k2wrYw2ZTl4yJcKmISrWxz7X0WOfcos6J7IRBIdRUYvPB/Z2drh1/RqLxRlNW7E1Lflf/i/+5/zxD3905b31ffFVb17apAe/D48JX/VzsE9fTA0UXg9XgJ105quhlBjEg8GP6l1aEqrSWKV70vW/Cg/O77P1hl9yC6VOUkTQZ8QrpKMrr2lZLlccHZ/w5aPHPP3yKU8eP+bl80PuvHWT//Q//V9FHQfWyPvrLkIprBGLqHMdRZ5zbW9P0lNbR71aUeQ5XesiAVjizd47lJJ0SImJRzCmLeVoSgiifiwTFlrXkVScs8zQNBVKifCUixM7hWB6ob3e/XvVZW8y80MI3PviC9q2wdqMZ88ey4RZL28bn0tgyzkBWXmeRwFH1YOZ4Wcufvfm2I2WTEyPDEFWSqM1e3t7bG9v8/577/H40SPu37vP06dP+fGPf8zBwQHf+ta3+Na3vsXe7k4EMOuwrcwjIWSnRXt9WW9w71zReqB0FeB5I8H5cjgqhZ2HfB9pbxL9ukBO9m/I3ApXp9ITEosnKYlrRCY44Ifnjgtp0iOSawSvhOCZkm26rhP6afCE0KINBBVwXYtRirIUMTeivkdRFOSjMSrLaaolr8+OmFwvcKGFTkvBxkG7rF0zuLyLr6lA1XVMR2POVufMl3MyW6BbBd7RVA07ky1GJid0HcEoTk+PWCzOya1iMTulXu6wWq2YliNWi3NC5zAorm3v0S1WUDfkWtEBuTEcnZ5R2IzMWBbzGWfnZ+jMkwXDcjVDdKwayrLg5o3rNKtzXhw+IzhP4vGgAiZ4CmVocTgvXBt8y4N7nzM2hajguo4ss4TgCMGgsBKWrDqUtUymY3COLLcYNKETYTnvItk4ja8Lnj8h/3sBBiGwbBrquhHDMOjoMSCCCdWnn18YbgKILj2Y0M8HuW5Zh1PKuIBwBSYDbcisJrOKLJONWqkg16WV8IgiNwez5rSkdHriiCbRKbTqQ0UhBEblOE7XGJQLEvZvu5aqq6gbTVEUgO+zUsfZCKt+Y18GSimMApMr8kyxvVMw2RlRbu0K0d4Ezs/PmJ+f0VU11XJF2zaE+N3GmkjIB+8DdVNDkPkWQqCppXyGStlXTrheOs7ZlP2pVSC4TjIuSUrSAW80WSZg0GYZO7s7vPf++5ydHvEnf+NH/Ht//udk9qvv+zfqlaHVlFq48PONG2t8I1XO3Tg4hWgGtHaVPDxKsVFVXSkM6wKXKf6pgUxrqfHxFRvkv6l20aANFzsu3X60RIjWvOtalsslz18ecvjyJb/+/HOePnnO02fPOD4+oZqvcK0scKMi52Bvh2SyKMUwDD20j668PhXdTqu6xkcBvhCrknrnYg2w9QBWKlV3NzgFQUu4xaWaZ0HRdR3L5ZIQArPZjNn5uWxU0YNTjkdkWR6tMMma6qOTKjo7klfrin5du4WjF0ZJ6uyTp88AT+saSZENCcSsPUpDDs+GnsPgfa3S7xeeJZtelk1diAEQCOv3tVZMJ1O+853v8O4773J6esq9e/e4f/8+/+yf/TN+/vOf8+GHH/LRhx9y49o1styueUJ4vEo8A9X3h/hU3iDYd4UX8yohQDn28muyX1wFTIbHhvVY5g1A5gLnR3QtryY4XwWZ4pOVa+k/F2KdJ+HtybMdWOOsvUjlpOTu7l3uP7yPiXwQITN7lqs5IRNeijGaIisptMEERdcXjgSUkoLJtmW+WrLqKkJwKK8JvRW+7kp1hQfrDZASrzxt3XA+nzHeGuObgOrE46lQfPj+BwTn6DqPzwzPD5+hjWwO+7u7KAJ1XfHWnbd4/OQ+OgQyLLPjE9xyAYC1Bq0zGhyZEm/WKC+4trfPy8fPcb4jAz7++JdUqyV5ZhmXGa9ePGN+foLyjkzbwX0GtApoHbA6oI2iahpcV4OSeUdQVK1jZ2sbbTOM3aJuFdPJDu5sxXJVYTK7Lp8VRFYgRMK0D0gB6SDAY3NMKAjdxlrvfBcXvChxkWxmFEEZ/AVPbZo7FxcWEVV0/RgLsfiziYaMNRZtJZSaaUumTUyYUNHQVOLVVpJ9lSLWUjg6xRkU3hOzkESpX/RyMpQyoCTUv72zje6LNtMbh6u2pmkq0eQMMvbTOlaYAnul5fDNWwBO5zVd13J2esbp+Tnz1RwfHEYryixHZxlbkxFlOaIoc2wuwokp5BgIQqiOz7apKl4+fy6gJ0hlBZxHu4D3HcG7uPZ6mqbGh1bGly2oq4aqatCF9FNdt3x+7z43b13D+5Ysy77RfX1jwHOVr2W94G6+9k1OdCF6tQ7ZxAHYp/al1+IANlpSRrPoBhuGqeCyFf4H0YZu7sG/PhEYtdxLExxN13J+fsaDhw/59N4XPH36lAcPH3D06jXL+RLvfBTYy8iN5freLtf3D7h9+zZGG6bTMdZE8rfSoOJG38/+q2BrAhOazjna4MAouuDxypOVmcRXlaMsRpHjI6AnyzI65zg/P6coCpq25eT0lJOTE7quo6qqHvB0bSsqmc71suGSYroGhDI31PDSSKHNwfolfw/j4ERZ++AxAXxSWcYPhHqTB2bTK9QTGweenf696HVKY1Ip+gKJ69DYOlwGaTP3gxOkkpSeoIV8ORqPyPKMg4MDPvroIx48eMAnn3zCT37yE/76p3/NtevX+OD9d7n71h12trcpsnxd0mBIsNbJNHizp2fDAxU2PV3ri/ZXTt6rUtCTVsulI8PloxUBdREE9bvZ1V6ei9+dQI1QAeKK49N2Ndi8VAJTw89KBubNt97i5eFzbNMSuhavPVVbUVVLXOvRRrJGfGg5PVmwNd3CZDnKe4zWbE12GI9O0FrjGsk2LJWB4AhOLIvk9ZLLu/rerupPpSRhwHdQ2JLlaolyChU0wTmsRsJCweNxVPWSEDpCgN3dLcaTKS4EKYI7HmMMZNqyPJ5hvWTkFJMCYwvqakWhDfV8xo39Pfa2t7FG4VxNh+P8fElhLd/+6Ft88dnH1Is5qSKKdy29ezGGcVPY5vzsnHy7FC9pYcGBqx0ORbG1y9HxKVoXvHXzI25dv8HrkxUnx3Osrrm+vU3ybKsEpBTgwAeN64QsC2pz3/COXrZCJa+IpI+TxgMg+j1605MT6IUtLsLSEDytb+KGLfMsM6Jlk2mL1RatDMTMQB35OjquLcTsrA2l+t6Jo+jXID306BjyvBAvO6muWCDPM7wLvadAdDxDXINbQlBSST2mMyst3LLfpYUA86pjuXTcvX2XZe0obM7pvRNMLkkB1ljKUcnu7jZ5kUuiCWFdUiXuOWHD2AmMxyNyo3FtjQUyJGOrLApsJhptkj3m2d2bsrcz4dr+HnXT8Z/9H/8vGF1QFAW7+wc8PXzGrbduUpYjVtVqM8v2De039nsNt8yhV8cPXrtqS934/NBaDuvFShw9kY8R3/eAUiaCGwlT2fT+H2Co6qs8YBveLQKd75gt57w+Pubx0yf88pNP+OLBPY5evebFi5e0bSMiVNowGU+4feMW+/v7XNvbZ2s6wSpF27Rk1nD37tscHR1RFqWQ3ZyDYSy3fyhX+kn637q46Sd3bBc8VduwqitsnqFtxXyxYGt7m+VyyenpqdT/OT1lMplQVRVN09C2wtHxzq1BaZAYrEsAMIIfokWQGP5rAvrFS1bJG7z5dwo/ETOSfHLvxi9SSlSZo5fnYh8kEHFxwiiShRYzKPpJLIulVxFShZgmiRp4dS54fOL9J46KV5L1oNFs7+7w7e9+h529Pf7+3//7HL1+zcnpCU+fPeH6wQHvv/Mub9+9y+7uHnmWbap9a6l2v15Mh/cV+znEPkp0wkubcZy5Vzlnhoek18JVFXvClecWMc/ezdUf6byPhSk3v2sDuIUweC1+NtWuuvpy1yAq/vAEqvmMo6fPWJ2esDXdRrmO1jWs6hnOtX0I1+QCjrxpOT56RV6UTMIeuc3Y2tphNNpBkaGyDO8dmTV0dFJkM/5PSOPiir68wqsF4FC0IUC07OlkDPvQImG3gAtO5mMkbO9sT9m/dp2t8ZgHj76kmE55+OwJ+XjEjYM9Jlpjqhq6Gt952lBLGn3V4VcVzXzBne98hxeHzwlRor/zHVYpPnj/fe5//hmLs1MyZSLvKxpoUTlbBSk/gfO8fPWCZbviQB9gcoWKiWstcPvd93n7/W8z//xLJtNd/v3/4f+EUDV8/PE9uuqQzIpX16eSLMBoNKLBU+xcp+lynj17IeHz0K37TwFayoAqkLpSag12+jmnFCIodHnEeqJAYj/W4tx2nYRRYqkgayyZTeVrxKPdg5yk3aI1GAE5RACjYqV2FTRaicApYT1XlV7LFWutyWMqevJohuAYT0Yx5C6Av+talIa2reXWQqqhGFP1w0UXwG/TArNlg/OBG9dugM44OTvhk09/hc3K6M0KGB1wvqF1JDQnjyaJ1nmP72QMu6YhtB0HOxMmxS6TUcG7d+9w62CX5XxFWZZs72zxj/7pX9J0HVYH9nam7G2P2N6ZsL29i86MEKGzHJXlFKMRxlq2dnZYLJfUbS0ZXV/RfvNA34V20fMTLvzPhZ+XtpuEwtMCNgA06xTqAeH4DzBcBW8GOmlRdxE4nJ6d8vjZM359/x5f3L/H/Xv3OXr1irZumM0XKKUYlQVbW1vcuvEBezu77O/tkVkpSrq/t0tVLWnrCt+2WANaB7xvCKGNQlNrn83ldnnDByTOnZ6aEh7Nqqppq4qFWTJbLFDa0DrH6ekZk8mE1WrFarWiaRrx9HQdbfTirLVclLj8Y6eswWzMxnJOBrAyAnZ7wCPS7joC4ZQVsZFaP/g7ZQLI5Q91lBRaW4zJCUFCafgQw1xrUGKMoWmaiw+v7ysJ98Hu7g7WWI6Oj/AoqcwdIClR9bo1sTab1OOJKf8I4EqFCyPHHmUN+WjEex++T/HPS4JWlLlUv65WNZ9+9hkPHjzg1q1bvP/ue+zv75OlGm7WxnDFOswr3w/DMipEH5OAlTd7gzYHxXoWp0U4WeEDGNcDvKvOOwztbBKt+97pMYpX0WLv8a6MIZPOEXy6sV6h8OI3xi0m3YCAzMrz+PNfo+qGYkuB63DUtG1F1zWMxiXlqMRG9dnxeIzVhvPzOVX7mq5po3dPBPB05FPtbE95ffqS0EV1Xy+gIIHhoUm4rkC37rcABK1pgda3eB1o2o7GO6wLWKfwrhNuhLGoTApKXtvf4eXpEWdHr6mrmvP5OW/fvMGDJ4/QFhZVTZ7ljE1OORrhO0fdtcxenVPVDc3pObpu2bI5z+5/iW6ddLmHH/7oR3x5/wGnR0eUxoggYWDt0etpB466rnh5/IrOd4xGGdo7QpeetaILgfe+/V1Guzf57vQG0+09llgyA7ac0i0twSu8U5DJQzfWUuQjvvNnf5v3/85/zPys4v/8v/vfczY7pnOdhLZiptYQx2iSJ9ujVNvvJaofuWkOxL/ifJZzhih1EnXZQsBqsGhypbFakWmFsQqbqX6uaUtfYFOIyjGUE5WXxX4T4zFJESgxi5DBIu+bKOxnYhp26K8XsiLHeU/axl0st7BYLNjamkZvuYgVplF1lRfxN21105HnGdOJonWBPLd0bUNJiVYBpTq0ipo9QbzoWAPB065q4Sw5x9ZkxHt33mJnOuL2tQNuH+xQFrkkmMRn1zlP10k4azwZ45YVhk64XVZjrSbPLcpKgVWMeOuKYozzhunWFi+ef8b52Rnbk62vvK/fmMMDmwCHwWtX/Z4+d9VnhuccOiIyJAp71XF/aO0iqEurd+sc5/MFJ2dn3P/yIb/65Fc8ePQlr16/4unzZ5Ip4j1WGcZFybWdff7ouz/k4OCAyWQEBA52r8ngXi3puhYITCZjuq7Bd5rgFFZrssyK9aMcyWjQMea78Sy+EghtAlWtNOfnM3IFk8mE2WxBnpdkeYFSiraN4m8po2iDvBuBTZDvM7H69IZZnsizAXKbIdWJxdoTsKQwZg1m1jyN9aae3M3D/9Nr67o0kWekDZ3r6NoO17bgRGQrEaNHoxHb29ti5bHpwVBK7mE6nvDv/ff+A7I85/G9+/zFf/UvcXHrjgfG0FagLErarsV14tERxRANuIQ/ImdFIKAsnjG8Fy3G0WhEWRSsVgvqpuHLL7/kxeEht27e4s6dO+zs7FCWJXm+ro3T13VTKnqTWKtwp1DWN1wPJRy1trwvjfYYursqerPxmUteHyC4fkzIUJBNQEK8es3z8U6+pw9fxHO84TuvvJYAeQjs7O+TAT44rA54t8JXSya7W+TakNucXNmImjw7k21Ol0tevXzJ9ffepShylss5bdeiguXGtWu8uPdcOHROS0p9BDwXibA99EmeSGQjjGLQNE1FllnqusK1LapTmGCZTiZs72yxrFacL5fUTUu1XOJqIYQGpRhNxlRdTRc809GUoBX1smZWtbQB8ixnMhkzyksWdY1zjmJUMBmPOD49QQWPzSw/+s53efTwC14fviDXVjIlvZYwygD4aw2L2Yyjo5doq8iMhq5jnOecrc7QWSYK18FzcnJEuXsNlOMXv/wpv/jlz/ib3/kuB/s7vDhWEEysMadieRkR3bv29vtkkz1OH3zG2aymaiQDyAcna10EoEopghPApuO8VzFsvMmri7Az0M97PLiugyhOqZUI31m79uhYrcm06b07Q2VfCWcZVGYwRoCL6CPGHU+t4beOG6BMfb825BXk1lJmVpT+0/hQguknk3GsFC734L3vqQI7OztA26+9iTeT1vDfds/0gNKGyahEqUYqmtsttrdGFKXFWigzQ6Y8OZ7Q1igfGJdTdrem7G3d5r27t9jfmbAzHjEusn7fuYpxIn1uCD5w/cYB2XmFCR3TQlPkGaOyiBpNUVYmyymKEZPtHZTNsHmBQ4lu29e030mHZwhkvgrMpM+GK14HWV/S/8Nz/aGCnNSG5Lem65gtVjx69ox7Dx7y4NGXfPrJpxzFwpmr1QJjNOPRiGtbOxzsX2N3a5vd7R1GecH29pSyGLFcrei6hrZtyIxBZZa2q5FsgZSmndG2IiHug0cXFmVjbRFrZdL0cZ83+Z5SW/eyTsVbA72L0kciWUoTN1Go0VpDWZb9AjDM2JHFYG2pRDmYXik5ARPnRIW1yHO0yVDKSpXcPhtCCNJ1XW+QpIeAR3QauASCEs+lv8sIiKyxUBS4rqPtJHW/qlbsbO9SFiNOTk4IvtuYmbIwCVmwqWrK8YitnW1MZgmuFUsteT+U6kGU1iLm1X8/Ch/0etyEKLwWn+vwmp1zHBzs89FHH/Hs6WMOD19QryrquuHRo0c8ffaMvf093n/3PbZ3dijyjMlkTJ4nr49ALKVTur94mWRRHQBftb7Ly8NkDXiGY0f3n5A01j7kFNYb4/qsvu+bfraEEKuNMwC+8dxGoUJgdnZOVVWAZ1zmjMtSsqbCWgrgkl4SCWRvNqUVO+OxePecw+DZ3dtmvjqi2NlipBXzs3M+f3RIu3TkOufmwXX2r1/HOk09WzLOSwqTETqHb1vaWvPoyyfMZwsyDMGLBo0oyfvo4blgIkYDREJUsoH/+osHvJ7NGU9z/vRP/4TZ2Sm5sWxNdtkpp6xWK54/e86yWuG1ItjAdFRizB5Hp6fUwPT2Lc7n55hMY3PL1nRKtzimXVXQdVQhMDs7Rec5k90d3n7nLi/PT7l1+zbPX75ABc8PfvBdntx/yOHTp+QYcF10qplIjJViv0rD4dPnLBfn5JlGe3A4bGEZFQUvj5fsjfep6g6D4/HnH3PrxnWMB10fM58vOXqeMcod5cgSatFaGY1G4KOnCcW9n/+Uv/75ff76p5+zamo8mtYbnG9xIc1nyVrtWsnikRpUBh2JXN6La0rrqC4fPYMhODFs4o1ZIxlGxigyI5vvsIZiX8ZAayEux7qDEtLSfRaWkXJfvfe5r8Ae1xDxEqpolAplIKkLZ5kVr7CPsgxagQ6MRiVFUdA1vl8XvHfUVdXXdexLVMT6cfoqVPEbNAWMo1q3Npq267B5ydZ2ic0sWnkKC+Ncc22r5N237/Du3be4tr/DqMx6Ed9vyqftZ4mC6dY2QY2hqxjZwHhsmU7GoDTlqKRphDeKUti8ABW9YLiv/I7UfquQ1kVPzxD0pCXIX3jND44bApsEdC6e+w+1JUJk3TQcn8148eo1v/7iC372y1/x7PlzXr5+RbVaiYZEiJo0ownv3LnD7ds3KAsZwG+9dZv5+Tm+6WjqSlJfy5zWtQQcTad7UpsabNwCPMQKAnppfRXdfDqKUL25rsVwA7sACFCRWOzIo8Klr6t+E07VjpWKwlN53gOJtDikZ2rQCNcuUBQF43IkG91gU5d+uMNkukXn0na8tswSwbksy41NbrjRXfQwXbURXnqGgDKGPFoNeYz7fvnlI3a2t684PuB8x2rV8k//4Y+5fv26qNAaTXAyun1Y694opWLpg7j9K9nchZAJqfZtCtT6CDSHAA7lGY0LPvjwPd66fZ3Dwxc8f3bIi+eHzOdz6qbm5cuXHB0dsb+3x/sffMDt7Dbee8oiIPwth/Yi1dD7W1R0eqv13zEJ7oqOktCfisd5HUj6bSksqRP1M9BzPeRcg9Uh8hZCBDkqBEgpzpEX4mOYsQuO2WzGj//Bj3n9+ghrDX/yN3/I3/zjH8kGlbgPkUey9qyyFkS8eB8O6NIm6MmsZqQ079+6zWx5zsnJOapqOXn2ikf3Dtnb3mXvjyboXUeB4fzla1TdYrwD1xKcY7VY8vRkTggO3wVw4pWUkjmRAJ6uL4Zjhe8VRS8VLFcVz58/4/nrI97/4G2u7e1wWK8Y5wXz2Qlnh4dCWDWR2xPn03g8oV6tcG0H2rCztcX565fiP6wbQtHRLJfopkY5CWP6Bnxd8fn9e3z88DF/82//GTdvvcV75zO2p2O++ORXtLM5RZbhV62sEh5wkgRglKLtWk5PT1kuz+MlhVhyAspyLEUenUN5T2kz2uBozo74q3/099F5gckzrk2mHD39nHGWkxeauvExOy7Dd8LFMTrj/hf3+P/8w59w7/EJbSCub5Gzo4Poz1hLWZZMJhOKLJMSQZloNCXxUqXk2sVT6GNqPWSZAJbcWmwEOToTb7nUULQboMfEuSnqvxb62l3iUt/IGo6bm0YmS18NgCSfontAYFSa84N1K0ooSOZ7hjYa54Wk7pwnsxkoMNaQ5zlFUZDluag5K1E9/l32UQXsTi2rFrzPqVtNqWBc5mijuba/z//oP/xztiYjpuORVFdXvzmf1ofAynUCIMWfTD7ewtRLnG9BO0wmStXOC/gC2Ve7rhWvfefJi4Ih7/Or2m8V0nrTe0MAZC68n5bcoSfn6875b7KtF9IQPTiOk9Mzvnj4JU+ePeeXv/qYX3/+BbP5jNVqRdd2BAK5NVw7OODawQEH+weMx2PKsmB/b4vTkyO61hGcY1yWnJ+dSrzXGjAilW4yi/YObVpJDVebhNosyyLKl8E/XyzIW8ve3p4QQS/sXF9bz2twvwr6Eg++FzY0aG2FvxDDTcPid0Pvzmg0ohyNKJZL9CTgxyO8d1y7fiCL07igc07O70N/DkKIHiEtHoPBPQw9O+nvXilZWHwbHhOQzw9VlNP5hh6odGznJGSSZ1kPsIbf21vk0XcxWy5oDyVltW1bnPd9SCaBAR839+S1CCDZCoH+YSRqvooLY4jXJB4ssFbjfUueaxQl7733Lm+99RYvXrzg/uf3ePz4ifSB7zg+OWLycsSf/dmfRKJghwo+VvQOKDcgSqZBEfxaDQIwV6ZSi+cmiX2ZuI9LxeI4YuJ9qlhziR5wrtMY1pSb9WeC8zgfpeJ9XMScw+PZGuX8t//On3Lviy/Y3dvlzu1bVItZTNNGwmhONFiG9dHwIaq46g0+U/Cerm1k3riOEDqOXz/i9p3rnL56QVXV2GzEDz94l22luXFwk5GBk8OndCowmx0zf/kcPz9DVQvGRnH4+Am282SdxjqF7rxsXkrRtnVfysA7P1CGX29oaIXOLN/+6C7FGL7/3Y/Y3dnlp3/1U5TvyINHNR4t7BQ658GKx3drZ8z56SmrxYLpaMS4KMSDNesoApwdvsCdnkHX4aJmVhBrCKMVW9Ocu2/fRSvDdDTlH/34H6Jdw+2DPWarJTQdGRpcwAapsN15z8nJMc51KOXxzuEUfdh5NMpp6wqCp1osGI+2KLWE+LJmiW+W+CxjsjPCB09dV+RKeL6ha8C1vYCmi3P3/PyMpqloAlER2tG5TiB2HDPBe/I8ZzQWNfjpuKTMIq9NifqxlYUNo2A8KinzQsIoSsoX2CyBm1gKwhj5qSULS0JbibtlMDaKXhrVp9TH1bH3UKXFV/UK8eu6jek/Q/x+YwZhKfrsMq0UedSV8S5KawBZLiGiPMtxTu4/j6VqiOf9XZpSSjhDWWCVaxQGbTN2p1M63/H+O3d468aBAJ3fsQXgrGk5X7TMZh1NDV5ZAprO13RO07gWqwustgQvNb3qumYymXJ8/JrReILN828Uqf+dScuwCV6GX5ryZN7ULX+IYCdtpKu65uR8xoMvH/HZ51/w4MtHPH78lMPDQ9noug6lNdtbW9y9/RZ7uzuMx2Nu3LjOrZs36JqW1WrJarVkVGZkmXS1tQbnWmwUUWpDK4XlIvtfRUtiXbVdxACdc9RNw7Ja8ezwOSEEqrri/PSYmzevs1qtCIQ+XXyQo3TpuVy44/iePI22FdEvpU3Mv5YCiUqZSCyzZFlOnueUZcn+/j6LxYKmabh27RpbW1sYpWhWUjy06xqIcEHIbuHS1fggQl1Dd+x6Abg8SrTWEq8NoDIrFmzwuLZDRVG7IeDpuq4PyQ1Tz9O569WK6XRKXdecI+TbcjSKrmLZKFRYi4at6pWozAYho6/Bzbonh3eoIi7o3SgR+Kh+ARwQDZ0XF3tc/IwxOC1jzVrLu+++zfWDfd5//11+9rO/5sGDB0ymY548fcRqOWN/ewesIQRH1yIZON7FJVbuLQTJnEuLqNGGzCbvmusBi2+bnmOgEEKpqBsHKTngnIj4WS2puj5mtGQZCui6Bhc8xhasVit+8YtfQvB0TU1X13GzEmvVh4DODA7x+Fhjub47oq5nHH65gFhRW6zaYg2QAhR5HsUtvZDgo5HQ9z8CenwkfPrQMvMtJy+eQvBSmJIzlDZc2xqxOnmFL0dkucVrzaxuePXgHvvbU6a3btC2K8q64tmDR6wWNbnKMAG0D+AFyLnQSeVwH9YcqrCOtwUkI3LVdYyMpVkt6OqKb733Pp/+6hfUqzm+aiQEiwZtaYPnrXfe5vWrF7x88ZyV77jzrfcxBranE9q6wnrN0YvX5HVN7VqqrsF1ogYdlGLVOd566w7vvP0uv/jZL/mL//q/4uWzp+QqcGO6RbNcMT89E30UDzZY0S6KWlY6ySBo0ZXSsdJ3kVvmqwU6BNpVjSmnZFrhuw6p3hAIOlAtz9na26bzFU3TYo2IzOF8Lw4pkhWaql6IDg46KiL3dF88qjc22qZh2XaczhZcP9ilLKTcArEkQWEt4zyjsAbXOXSBCOzF0Lw2OnJw4k8jYScdCcVSr0lF71MkkBsJa0lGlsLoGD5TkX+TDIzoeUhTv+eyRE9PCkslCkHveZVFkDzPoycpGl7eRc2ZIaeRmBavY+T097CzKgEH1iq6TtaArcmY2eKcIrOEr9hRvmnTSjGxGaWx7JQFr0vPk8MGfEfQGW23pO08TdNSjIXPuJjVWGMJPpAVOYvVSvpMW1Zd+7Xf+TsBnmG3DjdX9YZj/tAAThpUAVg1Da9OT3jw9Cmf/vpzfvnLj3n+7JDzk1NxHSPelfGo4Mbb77C1NWVvZ5eD6wdcv3aD1WLO2fkpENiajjk7PZO4soa8sP3mpeKmYgYhoVapXrNBG/Hm1HXdZ0A9e/aM89k5nfdcu3mdVVMDstlqI2Svtm0ltbRLqsJqEF54U99fDm8tV0uc8xTjgizLMFnOdDpld3eHO3feYnd3h+Vyzvb2dhQilKyWvb09xuPxhieG6K1Zu2oTAZk1KEnhjsEESsrHw/BUAi/OOQl9eL9OGInHOO/QbhPwJJJfUlIeeoFS1lZTS6G8pqlYruYURYGJVp/yCq/XehxepUJ/obfigwqxrM9gN7uwHujo4UmQaK3Hsa4mJ/XOIsdGyd82M/hgI/gMGGXZtltMp2PatubXv/6MVa0ESAYnFrcRMzEzSuovtS3Bd+RWsr9Wqzn716+zu7uHwnPy4gUvX73GZhlKS82jtm344z/7Ez744Y8YlyWua8mLEarIUb4C5cE5/OIcTeDs6UsOHz7Gah25N4G6dtRNwFhNPW/w1VzcSG1DESTjRjU12iicD+igRHPGSfqNbRtoHZnOUHHzsmhs5Fh1SgomZs5jtKS/9lXn3GDgpwivEy+UwSFSHwJUQ9uK1R7rRuUqUGipGRTwTExg8eI5/8Hf+u/jlef/9Z//5/jO8d0PPuTep5/jmzamIQeElB6VYVVAqbV4YSo7AsRsQY9RoFzHpCz55Fe/IFOGv/Onf8L9zz/h8cOHmDjuBEA5xpOCL58+RimPzRS337qOa2t2J2PGJuPJF/dhVaGdQ7SVPSgBvQ7Dex++z/W33+Uv/uu/JJiMm9du8frRUwiOxfE5yilCG8tGhJQer/pspOBFs0gbyZ7RJpb78QE6T6ZkM8IHxnlO7TrwbQQuLdXslJ3dEVkGi1UdHYECFE1mCUrEE7LMROXilpj2tAaLycuLEMRV1GtTAZZNSxsCmSbWs5J5WUZBPwEIARvBjrXC39GRT7MmJOtYqkb1dRhN5NoIb0d4M0J2TkkiqXK5iqEu3Xtz0pyPuAZjNJmVVPreEzzwHPTLhxoKpcrekEXleq01RZGv11z6wDVvWvG/aYtXLIZR62mVoqkbVquKxXJJ00qJl2GTKeZpUeSKjdqNb2oecEqkSrzRNJ1jNl+yPD0m9zPKYptx3bA1hiwZXsbEYrOKpqvxeNoWmvbreTy/Fw8P/OGBmTe1tOFWXcv5YhHTwx/w6y8+58snT3j1+oimblFeMRmNubZ/wO72Njs7O+zu7LC9vcW1a9dZLRYsZuf4tmZc5lSLQGYMTdtgtCbLNF1uaF2aZBJbTWg+hS/quqZzsiGfnZ3x4sULZmfnnJ+f96Es76P14+U4Y0wPbETLYX1/iaD6mzyRjSNj+Mhaw7VrB+A8W1sTdnam5HkW62atRfDatu2BxDB01EWgEULXe0q8C7Suo20cbSOk4dFkQl6WG5XME2CRy1H9fTnnYhipA6N6LoyETVKoZA2A0ueTtZ9CXek7gJ4E7rxnNB5FELfODltzT9YhLo9kdKSF5WJPy2eH4Tffr0FqDW/SC/0ZtFFk2Tqev8GNioVJg/Ioo3FKgLTNJCSYQjvGSGqoXIhwP5RRFKbkB9/9CBU6Pv/1p/yd/+g/5Po736I9P+Yf/z//b6zmpzjv2dmdYlTH7q19/ujP/5ytg5tx9U317FoIZbx3z2I1Q3vF7q0bvDh8wce//BXVasXnn31CXa3QNsdoS55ZMqPo2gYdOnRoZRMHcFrA06CPUArjG7RRGO2j4q30m/MNzon+kTEaj4shNcm2CTFTbuh7dtHbolLKcACFF66AD4CIx4QQsEWGtka80xoKC08efsGjX3/Crbt36RYrnj97gbvZ8q2PvsWzx4+pFkuyLMMbjUEWZO98X/5AEcOnMeSmvBOg5T1dXVNmGaezOUeHLzl/8Zy7b91Av3OXZ0+fgw7oTDy92irqZkmeW7Z3psyPjmlD4Fvf+T7LbsH54QuyzmGCx0TOkELqGP3oj/8G7337+zx5ccSnH3/GR9/5Llv7U0InId3l+TySlSNijxl4QaWc57iOsUmM1UqAdY7BKYvzDtV6xlslXbWKIRqZE65aUa8WbO/v09WOrqkhGJyDzEY0EMOg49EYY1vo1vNYGw1dWhtMJNXHOBCapvOgPMEoXHAicqeFY5e859ZY8izvM7JE1iGGv8yaoGz7n1IENHljTAI7fUZsiM91yONJ1xTHm9oMaWVGk2UmaoqFK7MOE0BOxUTTspY8Pj54mqaJ/ClPUCGWXr2QmPBbNhX/CYBzMn7n8wXLuiJsGMvrNq9qHp0uyUtJoMgyQ2mh0BL2UyoyF0MQ8jngFDRA6wKL5ZLz83Oq+ZxSVTgnxP12q2NU5Liuw8Q11FiJOghe9qyq6muh3u8N8PyhtgRwWuc4OT/n2csXfHb/Hn/1i5/z9Nlzzk5PaetG0hBtxu2dAyblmMlkymQ84fq16+zs7vap4dZassxQa482aWMSXkuWZ3jlUQa01Zjcour1htu0UpyyqivOZzMeP37MarViNpvx1ltvgVJUdS1E0RjGShaHcw60ijF5HbOc6LOoNngrPkTewG/YV4DShhCBlDghxEJUKoYookpySknvw211vQYlXcdytaRtGrq2pnEdbRC+0Xwxx3VBZPK9Z7laUY5bFIZh3aYQQ0UJWHnvRHYeHz1C66sO/YZMXHhiSCy+kPor9c8QmCn5RcIQzpFlWgi03gv5T5n+fAlUaNauZ1KK60YTwDnkGyW+gUQ1dNTNiMA0hvm812irYvHUNShL1lZK11dac3T8mqpuQMXwnhK9IZtlUrYDUEaIvdoZcmsxWYbrOiY7U2xWgnO8/OIztLV8+K2PePz0EfPlgvc/+oD/7v/4P2G8dwOR9A+IWESAkPVXROjw4QgVHEVZ8oO/9efs3nyXLz77jNMm8NO/+itGmeNgf4utnS2W8xmu6/Bag85RusAjVrmLoTOt6VPSnTUonaEzi/etvG4sjXO0naMoRpCZSKjWa/J1COuFT0lxSe/kmWqj0heAtwRlwAecNrQ+0AKjYoKzkp7uAYwjM4r7X9zns18/4GD/JmW5y+HhCwgnvPvht3n04AFd05CE73TkdJk0UgM9EFVaMvOs99i25XS2YDyZcnQm+lZNI5l477zzNtdu3uLxk6ecL+ZsbY/pQovKhX9y89p1Xjx5QtN0XB/vcO/ze+iqxvrEoRT5fo3mR3/yJ7z13ge8ePWKo9fHuLphcTbDHXTgQQdNs6qZlgUatQ7VQr8eaVLat4RwVPBoH0uxNE6Agxdw5+qW8bWSlc2oqyZ6LmWtWJ7N2L1+nVt33+L5g2cok+G6gLMy7x3gvSbLsz6s751HhcjZQkWDA9BKsrGit9S5QKc9qbBy2gwJQdb4pF+VZVijyPqMLJmT2ujew6p6DmUKbcXUaG3W4nqJrEz09JCyszZDVMnXo4lGjJbSExJ6Sy7h9ZqdwIbWUohYOH5eapNFXk/bCok8pWmn67Fak5n89+SFiHNJiX5Y5zqq1eqKNS+CF++ZL1aYLurmGAhGoSyoQmNMIAeMCzx59IrF+YzcWEZFScCwXC4klBk6Ao7FYo5RDm7C3u4ewT2KBUk7uqalaR1d53CdY7lYfO3d/DsHeFLGiA+BeVXx6PCQX/z6U758/IhPPv6E46NjQYmRazApx0x2D8hsxijPubG7z97WDvPFks45cmvYmk6o6hUd0aq0Cm2F7Jbq8igNJjNSb8ZIvDwrCsJiIUTd1YpXr171YGF3d7cX7qvrmrquyfIcFzytd3TexUVHQlfei1aGCjJ5DKq3vFJoSYUIrn7jgb7msyTvRMo68q4GxlLbxE9671JVVXSdaPGcnJxwdnbWh+COT05YLBZ0XYvrWhZVDQqqpqVzMfwW8UnbdWJ5cyG7KnqFiQJ+Km6EAuRMdH1HlzaRHIiQKNfEWSUKp3FBSQBIad1b39aY6CHpeOrXfJwQIkcHQBtRlY2VkyVxJqWXRxCz6SbrF7UgpiUhKAF5naN1qSr7OgsvxEKYnQ/4ICTTBCCd91G2Ts7TNI6mA4elnGzJIliM6TyorEAZuQelVXyQHj0ec+7FMxfG1zibtdT1c54eL2HrOsGcs3fHcHZ+xs5b73NytuT1yWPqpu3Tdz2i+FpVK+qqpV5WNLMzaFuU0czmZyyXS1arlm7rLcrbc6xrCJOCM2+oNTCegpJSAdpI+KJuxQu4Qq09OQG0zlDaUAdPwEHMbgEZ987qXpQyKfWalNkY14J+SKk1IVTWiBCNA3GDt17Ul7TSOGuFeB4zyLKYevzszNF5sKOS8fZttuw2s/mch7OayZ0POT89EY2n/ivFg+e9FEkU7aE14M60RvvA9XyCKqd0uiDkGkJL27V88fiQG7dv8973vs+DLx8y2d5h0azIyy1Rhy63mJ89x3UdP/mXf0GuLYXJxOPggyQHBM/d997n+s07/Fd/8RNuvPU2z54+lbRj78gVWKJ4nHM0TRQN9QI+PKpfc4jaVhImkiw7Gd+KerkiGAHlWmtc23F6csxolLOYn2K1xqAwIVAtV3RdiynGYDWNgg5wMQyEknCZMVbCSVH8TwVPE4haOpGvokI0DFO8C5k7QROClrnk1x71zBpya8ijdk4Rw3I6cnGUkfFjtcIabuSKPQABAABJREFUSTU3kc+zFvdc8/n6dPDkvVEpEKTFwyoKur3wYNDiydXRkAtEjZ4hfkiezsiRWsufRG+/sXSdo6oqVqsVi8Vc1j+lxTOpNMHkv7eoiyeIIaYVTTJu3dUenlGeszMuqboOXEdQFq8MnVPUq8i/cuBWDV/ce8bpq1fkSrO7NeVgb5f5fM789JTcOMxYgHWI3KjpZIIxEmFou4C2hsZ1wuNUirOzM65YjDfav9WAR6IZof+9qmteHR/z5PA5f/2zn/Prz7/gxetXHMfw0GQ0Zme6w2Q8xmrdZwrdunGD2fk5oeswWrG7v0tQgWW1onU1SnvyzEohSt9FboWFyMlx3hN0oHENVbVkVVUcvnjBcrng5cuX3Ll9p2fbyyULybYnJhtxrZq4KGiULLixGGdyl1qlUN6jQyAvcnxmCb5le2sbgiD+TZXhb9aHivV8C14k1ruuk5BV0/QFQMfjMVVVcXJywmgkNbXKstwAbk08vi8t4QN1LX0W5KZ6sOP7EhDShqAruZh71ouKMXKVLHXJlFi/t07zlBfXLl2fsoeQRaNrO2rf0HYdWhvqqkbrxLFKni2QjVV2SfGci4CiLLDJ85NSl9bhKtkgTHRDK1znZL8jR9lA8A3K5ICORNrQC7zdvv0ORTnFEDg4uMnp+ZKmbfBOhM6yPKNpOhwGU4z5m3/rb9M1juADn977kkeHL+mcZDHMFgsJhboOF3pdY/AO8//4L6nqiuVqReg6vKuATqzUv/uPMTan6zIhuyLibj5Ier6LYcnQebRzolwcpE6Y6yRbUSzTjFIHgmvltTj2O+fofEOvSx2fd9N6mUtK9TXMfIi8tBAwmaiN6/iczYD/tB5EgYsV3rUWvkQiDcvGpAk6w8WwYjRjMXha16IkgUw2uVinSdl4LAZrReyxalcCupUEE6wSBVkNMZtRxmMWPQRWrce3GEoWZff5xfM5nd7FjAPad6ggHt3788Bp3jG9/SGrpmPZGFSZsTMuOV9q8uktEWMzJtJ1JAtUiOkBhePm+9/lV188YrR9nfmypu4848mUydaE2eyMLIbwnAos2g6yUjy9zvVjJiiNshZvDN5IWK4v+mkMrY9rR8xIC8BivmS6fYO8EA6YPFKNcorl+RxvMsgzVk6x1Ea4WsqkRxFDQLoPYRD9ZxrB8Sl5IYXAjUlhyah4rZCEgxiXyY2myCxlllFY21c4B2Ih1Ch5YETPLJH0tTXoHhipmMgQ1wgV/bQqrV+hT9KR8T2QCdFIaQSboWxGL9yTjgmp5+K65UMfxk+aXVqZCKhi+NXa6H3u+r7rhc9+16bkEuuuJdeSeNM5h2vdG+tWjTLL9946oHGBxgVqH1i0nqUPVMFQdYq29bigyExOU3U0bUOoltzc32KSK5ahRvuOPJ8wGeVkVgyd3GQYbdE6w1oJsfsQPYtKsZjPhdvz7xrgSUCn9Z6z5YJ7Xz7kwcMv+eTjj3n44AGruqbIMiajMe/dvcv3JlO01pydntJ1HdcODqhWK87OzvCuYW9nCxVddSgJR2mrMZmJk1qRFZbMiQiXsTGGS2BRrzidn/H02VPOTk9papF1n89mLBYLvPO0XSsEyDgxXQg0TRvds+Kh8K5Dx9RCow1Gacq8oGkkU8NmlslkTFlmTKcjUVf2gaKwjMdjSOhfDwBPb94OhQCGgoTRZQ19KmRkuKCAxXzB7OyM0WjUFwedTqcsl0vqqNg6BDdt29I0zUYYZ0Nbhgjcol5PMIbRaMzOzg4KcymDSjaoCFNcGIR5kjZRVEVWQiKWlUes/8H2ju7vVTZQH1pU51FG5Ko6YGRzsqykLEexQnnoN2KFQhsrGis+ao8oRRs8bSfhI+FYiUemXlZUMQTaNB1VVcuihaLrHE3T4LqOKtYca9uWpu3oupa6aWkb0TP55Sef89NffEzTdT1JUGtF0zla5yRtFgnVGW349LN70ZI0IsjmvWScqFhFK4ibTMVNPCSPVlQ4NjoqnEer1JDJZh9d9CGIW13mX6RjRnDnUYROvG8xqkRdBZrgIeieayX/GjA5KOGYeB8ILj6vtFivDXaUill4KJyP4yMoyf65KGnM5fwRCQ8kbtt6Y3LKScihny7REzjYVNI1uFhdPQQnRgUdSoEjacNEsU3vCG3Xp6OLFS/hn1SSQ4gxMnq90rQBQpwXOpLPA2JEWZWh8RRatFhSGrPRWojCSmHyDG1lM7YYcmOwOpBnlqIs+Mc//ZS2bdGZhIhCvoW2U2Yho6oce+9+BN7h2gbtxXuD6yQTNXLJtFG98rAOHdp3dK6VOaXWZUWUAqcV1mqCVTQhY7J3g7OzE7o0V01OtfBMD8bcfudtjo9nnHSBzI4pvPSV9x0qxHv0rEPCfv10dQwZqehBSXNehbVERMKz1kCZWcZFxqjMGBU2em/Wz1k8OAhISgbUIGPWqHX2Vop7pfGTCMnypT6C+yjZIVCl5wvaBNzj98S6qQLqiSHXFAKL62fSsErhpWGB5bUGTYwIpGo3v2NTQBG1fQKSDm+Npm3aGEa84jMxvFdaRRlrql0TCTY6AqsOnp06lgEKAso5rAGlOozumIw03VbB6ek5OEvbrMgjT3F3ZycapAn4QaaB4LFWVMqD90K8e0P7twbwpHTxZd3w8uSYjz//nM8f3OPe/Xu8fvkS13ZsTafcvHmT6zdvMp1OybSQu7q2o2kaVvMZXVOxNR0xKgxtvaRpPJmBzEIoDIRO/jbQGbEATK5hFWi7htlsxt58ny8ffcnz588IePLCsljMqasVIjoXsxJCRKHeiVXbdeJtUBKLBWIqZFLLjPFepbBKUxYFCmispSwKRqOSsiyp6ypmLYk73keBrRTbTjwGFWd8so6u6NX+Xx9ZcynVU4GQxRoBMcMQVgI664koC1nS50khtjzPsdYymUgozDsn+h2dZFp579maTphMJni3FhFMgM05R+dbeqEuK/W2uq5du4QHEy/VA+v1ZkBASFRX9V4ASl13VFVLXXc0bQRvTc3J+YLTsyWuEx5S23U0bUddVSyW81hOw1HV0herpqbu5LWAhOq6tqVrWlzT0rVSPFVpYtw/9VfiGEj4MF1sqrakVCDTBqslNNsFGRtBTiTZfV5qghkMRRaFu4JwEPABrz2FAm1k/eyEfRpDnkJmTmAwyI4iWYX9WBEw0+vr9Kt5dNmHaGXGDcUQ0kvr1g+5sPHDKwnTOpLHJT1D4YtdnPdBBUxYA5nEhkhg9Lduio1Cn0rJMxiaB6k5fBSWDNEHK8UajRaw6IPURjIotBWw0lvBMTzRk+BJEgHyfdmgPElQgImZfwo8Mm9aF72UPgjDM6y1ztzS44yQozWdeGZSNXovfQfIRh7rOmFSSjV9TSMI5EqRaRECzI0RT4qSjKbMBDJrGGWaUTZGIaRxSYkOvWdPOCSaPLOcNQWj0Q5drmW9UoHMltRuytGJ5gff+iEf/ugWp69PeP3wC2hXZEY8iS2KqnN0QeOVlnRvJFSVqox7Fw2iZKT042M9flDClymKde05ISCLTMiGRzwCnVTEuPc2Jy5OiN7HMJgp0WOolCLo+GTDMDtLNmhrhD9krI0e4rU3LAGekELR6bxxf+hr/0Vytus8Wg+zpAJKp1p9iXf3O8yN2DIjYo6FVexubzGZTHrP+jdp6QqUghxFZmFykFO5QPjwNrnvqKoF3i8YjTPKTHFt723u36vIc0PTtoyReTOd5JFaAcZYEd9VUbCwGHE2m+G8/0pQ8wcLeAL0RNGT8xkPHz/l088/54uHX/L02TOqqmI0lpIMP/r+D7i2f0BZliJaRYiba7QIFNjMMp5OcL4lzzJU6JhOR9S1Js8M1qioFuOQYpwtdbXA41nMF9x7+IDXr18TvGdvf5/ZbEZVVdjMxLRfh/dC5G0akcQPwcWqtrL4aK3xne/d5JJR4yLyF7XfNMGsFf0LHd2xCUCkWHTyFkm2VnTRR+G+ENKE/3qcvzElLmjkCCiTv5OyclEUlGWJjSqnu7u7HBwc0HUdOzs7TKfTSP7NelBUlqVYv87TtS1NaGg73yszi57LZQ4PSPhDGSsE4qDoWvFcQIhx7BWr5YpVVVHVDatqxXKxYLFYslwumC+W/WtV1dBED0q7qqjbmrptabtOykk4WSRCUv11awAWgvBvgKj+afBKxVBR3MKicZZq4uTWokxG0ptXA++FSt093HBDWiJDDNkYvPLYEMMFAZSLlqcDfMAqLUTRgCyGLX0YThkwTqGDEqsviPUTjCzMQHTvaaz3UpZBKRQGgu5lFYaTMsSF3IXEn0pjLXpeLpHl1eDfCK5DoA2uL7S6bm+oah15VcOmgx5sKhfb5cU+Wf+wPpVXkiEyPFTUoh0DZSQIEqpKXp+UaeK9J2gIWjgjWpvId1IQPInAHLSKyvMDcN5jwGTVx+/XStKso/eLED1nIRLRtd5w2CqEUOsIeB89Xi6R+xXYNUzt1wi8ePuClsKN6XQKWu9iur5DqxReFO+BPGMJuRkFVovHVBN675RWwn9Zc2ICJlMUeYbNc7LMUGQwmmSoV6cctR9z+24FPnB2uGBiHJmRUj3F3i327+Q0rccrRdN16Pmc1WrVUwLcaiFXptbhKOHUpP6Vvu+i9zjV1RMgIWFy+RnJw8lLbFKaOjFclUKhKnqWGHh4EmcM4QxpTaqUrhO3JgpNGmv7zNoQ+7z3RCWjokcJ8p3G2Ghktr0wqlKKcTliHr1FWayjJwWYze9mCAyaVjAZFZRWs7O9zd7enpTVsd8c9AybUjKXxkrx7u19Mm14+Ogxzlvy3DAaZ2RacePmAUYF9nZGFHkhURITE0oCFEUp81FbfFBkeUFVN1eSqYftDwrwiBcHlnXFy6NjPrl/n8+/uMfDh19yenqKMZa93T3efftt9nd2GE9GmMxCEGJn61wSuu+Rd2rGGCaTScx20iiTYWMFclEvjmThIP8fnR7z6ug12zv7FOMpVVWJ9yPGVEG+RABOLTHqEDa+M4WYrLZ9eEdrnXIGscbgu0ios+vlMB07tDBCSERZ33tamqbh/Pyc/f0DAUzaYGzMolHqimV/2NJKHy7vMXGDyYsC31VRh2eX0WjEeCwhqOvXr/fenK2tLeq6FonzmAVhjLkUYhuKAfpIqHROyJKbe1rS0XExlVfz17/8OT//619wfn4uIbWmoalrqqpiuVxS1bUsbtES9t7LZxHviothqExnmKB6jYhk4Yeg0D4ilgAWid2jRAUa7yTmE4ENKLJYO0mHdV9LarT0rWSm6Ghtq2hKR+s+SHptxHVyHqUjhABwPUFXuSC1mmKtHOMhdCouwhqjLLnOUFEJVtZsRZZJRmHwsqCbqPrqlI9ue9DoCEoLbPQOam0xOotWvmQvGqMxJiMri57zkTLolFbYXLKpJLRjMFHzJMszCQ0PR57W2CLjEppCvJ8bx8bzD+eVih4TpdUVAzxtPReH81CfKfGRAp13G0cH71nMZ9GSlNhAiB6EOmYmdm1Hs1zR1I2EIkPMFIlKwF3b4eOaBNAGFwUghaOkAuIV9DL+m6bBdz5ugvJf5yUs5p2jCx1dkLGnghY1bZ+ME+kDiUKKd49gAAOR8JluUEePYht5Ntoq8fZtdICO+kMhQhwtQD2OPUVAytcHAYshRPArlyNSROJVUUbHJM+AqjWd7yA0EBZodUZQmu6v7+MCZDYn1wGrO6xR5FlGCAajc8w4IzOGkbVMdvdxzotooNZ0ru15PC7pHHknWTxdg/cOE5wYJyiUzYRDYzIJn2or95a8KsR7NaJK3b+WBp5MaomcJ1AVwT+KvlJ6792JY1g4h5LKHlTYXJsVg3Uyfls0crQR3h5BDLy2FWHZLMsoy5LpdMr29jaTUSkgF40l+z3BHbmDrbHwFUdFydbWFju7O5Ls8TudF0xQTPOCMstog9TFMtZgjQBGY5X8nZme55oy7tLeaG2Od4EiK4XM/jU3/m8U8KzTHgNniwVfPn3GJ/fv86tPP+X5ixdUTcOkHLG/u8eP3n2XyXhKYY3sGylc5CRMNORy9G5GvdZdASiLEjfqIuqWwS/WlaXpPE3n0TqwrCvqrqULni5uuopIkhuI1/XzIJ7fe9+HcVKIJ8Vtu1b0c9q2Fa2EQG/NCilTTnRRQyZ5uVarFW27RVVVUkuprlmtKs7OzpnNFuzuFqI+GcnRG9kpV/d+/Le3/0hWuo6kvZ2dHQojlcSn02lfLDRZStbaPk19WGYiWSHp3nyMq6ZQWOL/OOfoGiGCh8jzkMwaCfs4J5b2xx9/zP/hP/s/MTtfRlL1us91lOl3zkk4L4glbrRBWQkia6WxcSM1KJQPmIF3QOobaXSIaaiyy0UXuizimTIYbwhB0XmHR0IReVCYEFOREQ8MHsksiWBHiHQaawvKvCRL2TTR1V5mOaO8ZFyMRVzLaCrdEDIos5zS5FgbF7jJlEkxpjA52lqKsqQsSkbFWMCPNZJyO8rIJznFKBc3ho8bY67Q2RqEqiiTb7RFYXpwoXLdZ/7JXAKsQlnhzxCS6x9xaWWsSaxBrTUtMy7XmbngVfnK19P5L75nkNXrm67s6sLPr2ohRAt++NpaVTu4sOY/BVmKghd/VYhlU0JI4B48PgL8qOXkPXXdyGutp6s7QudxnRcrvnW03ZoXt1guROaha1kuU2bOUgQzvRdORQwX95ww11HVFavlSkihIeDajmpVUQUv9wJ419E2be/FxCWekTxGnUmQzzsBNaIrtF4nJEcgAc9B6MwIt4ioHq+0ZGgReVIpNJMr38s9BB9olKPxsKrAdy3icW9jnUCDc10UNhSPR2YNeZmjjehn5ZnFZjn5JJcCugrGVjPJDdvX9zCFweWW2lrR3dEqlkgIaORvo0LkvonXTisjY16teYGJI6SSURIDwia6blLpleQdspGwrhHJAjmLkO4lHL1pLKfezLKMInr2xfiVTMb0DCaTCUVeoGPmqiaFeX8/kEcpKGL0I8sMhc3FU/8G0vJv0nTk5nWti5QKFRXTxcNntKFumijsGD1s8bMBoV/YLMcHMDbHNfXXBjX+tQKePk4J1G3L2XzBZw8f8uDhQ764/4DDV69wwHgy4e7b77C3u8d4NBKiXAQzOnhIKC/WFpFxIlHkRAdIBK/h/ffx2DSIo0CYcyF6e1qUEXG8ZMWnBeriYEybfp5F9c1ILkvejV4wLqL23hpWqq8aLhNjDaSMWT+OpmkAybyqqipmQHUslxVN09E0kTsSxGrrIudkSPhV615PV33h3+htiJM2gYNElrOxku/wfhOYS+EqrXXvcZJ+D306dQq5NU0TOTzyexIrFM0eISRI2nHcPAa8IAU8ePAls8UKtCVTCuNDTBmOIRUfSYFeQjhJQTfiFil+iPB/DArlAtohkvadw6h17ZxM2Zj+L4uyVgarDOOiFLEyk4lwWV4yKcZMs5KtYsJ0NGE6mWCNIbM5AUUxKnsgmBnLqJwwnexQjkom04nUXaoaMpthTSGACwEVYctid3LxE9Udy9lcpBDKAqU0rm6xWY4tcmwu9Y7qRcXp2Rk2y8jGOVvXpwJSIl9XASFWKljH0eL/evB7ej2sg0P9KFIIiNmYDPEAd2G9UazlkYbnDqy589+kXbqIwetXXMqldvHehgcPrmN9j7EAJKyBm4o+u+He/ibQdtX1XfF6eNNbIWyePwwMoTg/XCLwBhHblO6J/8Xsnq52QpjvWoLzNMuGarGibhqqumZV1SwXK+rlCuKmu5rNWcznVKsVi+WC1VIy+aq2oWoaqqqlbRr5/s7RdI2AreAj38yvja1Og4/ez7jG+AiUQuxnoDdGgpF76F3OWopIkAwPIODwONCQGVHf7gII89uzWlUQAtZWaC19ZQhY5Xnw6CnWamyuKUYl43HJdFSyNRWRvLIcsTUasTUusUFCL7nJCVmGMlEjS2Sm6XFe9LBK+FKyrnqd0bTf5DlZnovXswtrL5FSPQDs16xImmawhqc1V0evrABEemmNpDVH0FEsIOo/XREe/m1aFwJ1EL2ss+WCvNQSbv0dmw+BqvHMFitavwIrSuKZ0pyfL1ioQAgjfNfQtK3wtqwIjRotYfpcGepVhckyVsvu6/DOv3rAkyawBxZ1zauTEz6794BPP/+cV69es1qtsNawu7vDH//xH1OMxcoNYhrFxSVqrUQIkwxLous1IWmfQE4cAMPSBIREqltXlO2LS2qNtbKRBe36VGmlVF9Jmwgk1v/LuMwyS/C+BzjJy0H8/hTicZ3bCFElANWvY8FH5C+fS9bdpvpwoG09Pta4SlLmYvm4GBqTyUHSB7qwnG4CN4XwS3qZMpyXSScuWt2z8UMILBaLjXtLfZR0eVKGVtu2vbYQRKsQ+myu5OlxXsiwxpgeVKY0S5AwpNcSGgsIwi8wFI3DrJRYoyF6bTBoF1BBkWuLUSp6WQylLdnKRxRaPCx5ljOJ42xcTpiMJoxGE8bjESNbMCpKyjynLEZkUZJeG+EsZXlBnhVYk9FVDb7pKPKCohyTZ0IGPj47Zb5csbO3S1mIevPro9fUVU1ejNja2mI0KdGZ4fD5IYcvT7FWKv9qLVWh9bHhWz/6EKMtrWl5cfKCtmtBKVonadBFnnHnnZtslYJAZm3Dy/kSk+WUQVHsSxQtaaQFnczSTQATNDQWfCrUrsFYULanNSV5FPF0DD//VS15Z5KHph+FxE38wuH66jU66MtAKq0BlzCMunCO9Le6cOwV95CMJ9Nf5PoLArK+KOirYa+/f33mEN4Auq76ssFnLt/E5jFqcCECHeKcHfDJr+y7wXcPnTDDXLZ0zbL3BgGuPuC7qAPViYdKSPiBalGDhrZqaOq29yrNZnNeHB6xWq44Pz8T4FStqCsh99d1K/XD6ppVLetF0zS4tltXkY/hoT7U7D1d10Qui8GagqDWyuUYSMkhaT8InUOpSG6IYKlTiI6MUiKp0HaYsxnKn+KCAx1iKBbyTGQMSiuZvltb22yNR2yNCqbTMZPJhHFZUBQZZZExyjOMihpseq37pa14m2w5QhtLKoehAtEw95Hr4/v5oJKhEYS+oEB0w3wqkyNh0JQ8cXx6TNM0QibWGq00rQtslyMy87tv7wFoPFQeGu95+uIQaz2LumF/Ovmdzr2oOpZ1y2y5wlMTTlt2d6ZMihGnp/8/3v4sVrcku/PDfhGxh288053z3pynmllVWVUki+xmN9ndoBrWg235xYb8IMuS/eDZD4YBAzZgw34wLEAN2IYEGIIsdYuy2Oymmk2q2c2hJlZV1pyVlXPeeTrz+eY9RIQfVsTe+zv33JtZVZQicfOc8w17iB3DWv/1X/81pZ+nbG/2RMi2kjFnjccacEZRliXKQV2Uorf2uLnXaf+1GTzee2rvmSzm3D/Y5+0P3uf6jRscHp5Q156N4ZhLFy7J4Bn2BapDFlhnrXilUU8jbrKy7ACyOHpPEIcLvxDCEwRJ9U4HxOkdjZmGT+NpGPhKKUwi3J6I2KwbOe2/iP5EI6f72XiObmp25armHPFnXKCUksq3rrlWMUy61b7j8df5PQGtCkaWoo0Fq6Dz8cgq+EiIq+OBeVlFvFdUlaWsKiaTCefPn2O5XK6FpObzeXPesmwVmCO60+2riHrJ81BNpoJJjBCdx6OQSQVKtfEPYwyVp+mLBE9SOa6oLb709Ce42N8hTTKM1sEIyehlfXpZj14vp5fnpElCvzdoYPk869HrDdBasSxWLFclxqT0ejkbGxvUlWX/8JBiVWCdFgEtiVXR61uuXNkiSXpUleX+7gGL2Zw0TTl37hyXL18BA1U6YOZKfO3ZGuXkWYLa2KZSc5yBXi9B5Skqgd6Vc4zGA1GVTQw6GAhee1YZKF1RaM/mS9fwylPVVozSAJ+cJJZJNRM+St+TXt2kqBylr5nuPgQkS62uRcyyrMoGCbCh9lppLcd1yapuPSSFp3QVi2rVZNQ550PB0Y+xsoRm8dT4xuttRngXtTj1+pp1oELmy6PDOF5oZySfei/+rdvsxWbeK4XXBq/bJVBCD7AxyEk1aGOaene2LkE7TKrp5z20UfTyHr00E0G9RIX6UoZBPxcFX62ksGqaYIzC+VAnKhH0VGsh/no82ofK4zp46ErCK0rRhhlV0KY5ff/RFup221qv8sgb3bSGZh2K70h1E3RuSEibKJQCGoazaZaL9lpqjy9onMtI/nfhZ1VJ9lhdWGbzJfPpguV0wWIyp6pqVsuK2XTGbLFgVVcsVwUH+/scHuwyn8+x1rKytVANglBiXUmhVuddQE1aA6ijRRiuUULSOlH4WI5ES1jOKYvFUuMoagulQ+PwxwvU7ioUhq1FuiFNw/OT8kNb4xEbowHj8YDBoMdw0Gfn3BbjjQG9nmOY5qShbIWoZigxnkMIyigRC4yctAhmKmRNzrNM5n3M9A37QhWcx2hwqrDv1Nbj8x5/XU34rcJhO55O2Z4NWS6WuJ2t4CT8/EiSB1ZVhVOCVlZVTZoZbO2wSU1ZlBg8VVGjXM2qWEKYK8LfE+2dfpZiS9FT+ziI1l+LwRMnlPeeoq7ZOz7m9sNdbty7y/2HD1gs5hhjGA2HfPqzTzPsj9FONVkvyigcLlj7ZUcfxDfwbmTLOymnS6QaekSgSSuRvhZNg2CU2BYd6f6MreEg0H1oXgq7pSl5LtwJ14SHQqclSaiw26I6XZJxhCDjcbVWZyzu7XljOrf3rUHmkcrQjYS5Yu0cMZOrWcBDX0QOjwpx6UeHwGlX96xrkvOvlitOTo6Zz+csl0uAZoJJ4bq86Y9IWE4C9yeiW8YY+v2+yMob+Vz0dJIg9W6SBO3bkg7dpsMiZqtKYIdC8emXPs2/8/f+LdKqz70Hu2xubNLLclbLJbu7uxRVzXJaoMqUp198AW00x8eHHB0d4yh59tnzwinyjt3jA9I0ZyfNMQ503kdvbUFRYPJUMk5ClliaZdSDAd5ofD9le/gsg7qkqEumeBb1Ma521Lqi2DCcuCl3Do5xXhZRG/RV3ErGehn1i4oa6yyFrSirFWVdMVstqGxF6StWVRFkDgT50ygsjmIVdCcyjUsNzltqW6FtTRk8QedcY9hEPlrkSVknMSgVUtVdJxyhFFjtqZVvw7sgaOtZ46fZVdaRA6s867TgOKUfhXiil//ozn3KSI+vnXEhZ0req1DbSCmRRXCxRlSCmNHtcTSORFkJncdbQokhGhAyE3Sx8jQj1Qk4sK7G6CTUyxNykQmOk1KySeo0karwRowgbQy5UfhqhVaGPO2Rphk6MWRpKpXkCQkXoxGj0YC8nzEc9pr1KU0N/V5KlkqVbxPXIi3Gl9GKNDP0Bz1SkwQSuhExt0CwNTrcH5FkS0wsDM+F4BgiHGfbIl4RYRLkS0GGlJuIiIVvqVb9DPFXh7Czs9WGOR0htBgN4xCWqz3FsqJeVpRVSVXWLBYlq7KgKEpOjiYcT6acTKYcHBxwfHxEWZUUVcliuWS5XFCUgiTVgVtVew+FxQWEPIZJxMOWorI+hBY0Ql4WpXWFCuU0rAKLKDgv5rA3naD8MWLeO7yvyTPDYJDQ7+WMx1sMxmO2N0ec29livLFBfzCk3x8wHI0Y9HvkWSI6R2HfjmnrHkOaZjgrjovMESG9r2qLyfpk/aGsSdFhaDr2r69F9Q/vJQpQVjUWzy+aD6aAPE/Rumoc5xiKtU6M2cnJkoPEMh4ZqqJAa1njRDBWsVyu0DqhrC2DfhL66Mncol/K4Ilho6KuuXt8xPu3b3Pz9h0e7u1TlpVk9GxscP7CxZDKbCQs45zApiH2Sy2Lr/NhUwgBUpNkIXtFIQXaYuXrmlhl13vXpOpSWyAubmFShmyI04hJo4kRPM1oSNR11RgeEtJKW8KYUliESGZ0i+hEMby4CLcEsxgaezJhQSkllb51IsNHa6lDIipXzdhtkJIuItXh1XSt7WYYPjIaHz88o+foXGcLUFIgNMsyMVzCgpplGWkqfTMYDCiKglivSoqG+saQE+QskKnxosYbIWzoZG75JjYcN3cScSV9SLWVSgAZPsmZloo//8GP+PWvfJWLo21qDFVvRmVK1KBHvrHBatBH4UkvnmdrZwOHYtFLRKuiN2Bj8xqFrTnCcVAeMp+XHC/nzIslhS1YlSFt3TtcWWPLEucrMUZsxWK1Yr5aUNY11nqquqIoi5A9YiVjRMnGX6la1F+JIVqFt07qcSILrQrkPIwYG6URnRfdxiLQSnSTlLcYhCpRawVBAC5psHG99rR9fMixxRCWR4T81oxhL3XhlIvfjMPh7HF01rBSghRptY4yyLxbS/wO4883YYjmsyHMslZcUcn4Pp29hY+p3Gc5F3Jvxnt0CHk7L/XE169BOF+R0h6JycqbgDQpvNNUleZLv/5VtjY2uXH9OoN+nyzL0DrBecNiseLunTs478nznMnkAJNnJHnKfDanKktQHlct6RsdMnJ6ZEmPVVFQVAW9YT+gp1ICpapLUJCFGlORayeIsKYtHCw/EpOI7oxJyUYD0rzHoDegl/cYDPqkqRSw7Oc9+r1e4J8psl5Obzig18vpp4ZelpLlGYPhkI3hgEE/CwJ6miwTMT7vFEZLAVCTRNRcSchZKVnva+ng+IjivhxBPaOllEMjz5BAMk5g3G9sacmikt+pO8aXEtK3LX3YkKWy92y24ujghKOTE6azGdPZjPlyyXRywmQ2YzI54WRyQlVXVK6idjWVrYMgphPUXRHCaVpkIowKBnNAGtIoI1AHLpOlVo7jRcXRdAl7SywP5WKVRyepJAqkCYOBJIRsbmyyvbXB9vaYC+fPcWHnPKPhEOEFGa498zRKa9J+DibFKkPpPEnWIx+M8N5S2xIRxgwd+tfUtFZ4Kw541OCx3pP8kkZVahRJmpDlOUUxW3N4PGDrmkGvj9E1VVWi9YDallhbY0JxX49UWBgNMykq/RHt5zZ4ogdVW8fxbMbbt27ysw8/4OHBAfP5nNWyYLUqMCbhcP+QW85i64pYNdiFukC9JJcBFDwpk5qQHRTE2IgGg3j4SRrDRPIAqrJGZpHo0gifQ7ynvNdjOBjKglVbbF2L9k5YHGN2UQQP/SP313JdRPk4ZLIYI9LqLqqoRi6O1Gxpr3k9Bbuy5foiHo4d49UxYyIaWYkx5L0e2miJZzsXlFsFeepyXaLRE8nCvX6/g1w9bkA++nqU0WpgYO9J0sBbCedsSNfGNKTjmJXVVVfu/ouFRb33rFYrSe+va7xrM1fOn78oniKqMYJiPF/5VpDQAz6B42rOnWqCynq8+je+wLGrODx+SK0rJumEeTWjLGuq+3cpb/6Q+WLKbD5lVZeUtRgwtatAOQpfsaoEbXEBKl/ZiiouTkrhEdK89sj6k4QqXjGmGuxdD6LGS+sl68BfscpRR0G5+BS8gAZJZoKAoghIuvCmx0tdrDg2w8829OmwXs4pfSev1woRSItfOvW4O1fQXsepj3lAuVoCUr5zkFPH8/EwvoXi196P/XLqCh4JXYWvtcUiIqjvG+Xc9YtDMuJONdMc+6ObVY9emcgM6OZ88QwNqZQAc+iEVDu8qhlu9NgYjUjSjDxLMSahKgdMJg+5fPkS155+RuoPGQVG8cF777O/t0e/3yNNNvjMS69Q1ZY0H4DX3L59Gw889/xzVGXJLCi2/+SnP2E6n2JthbUh3NUNTXkaMn9UdFchVGL3gwESHKgkVNwGQWRcWA+9d1iv8cj7iZaaX2mek+YZeZIxHGyQJJmE6hJDL8sC6TdlMOwxHA4Yb24wHI0YDwdsjPtkJqGXpfR6GVme0MsNaUj4iDWzMmPopUHtKJZzQVAkVwsIY8Ia1YTZGrRJEJs0g1xBb5CzuTlGKY96+ZoEC5A56bzH1pZyaSkWhWSurUqWRcVkNuHg6Iijowl7e3scnRxxMjlmuVxRVCvKuhTENTrmCunfgI4mOgEthZAdulE+T1BBd0qqhFcVrErPyeQErWegHsjzVGHdTTN6iSFLpJ7cxctPkeQZWS/ncLkiOZni7z6gl+dUSrO5MUKplBrCuf96WkT8PISIQ4pHN5Ifv0g4Kx64rsWZyjKR1HDWYmONLi/lMtIsJUml5qLBB+pE1OuS/X5VrNBmzKpYUjn7pLN+PIMnLk6VdRxOphycTDg8PubB3h77J0dMJhP8qsQvS9yyIPOAsywWCw6OjpjNZlRBNCnVmsyk5MH7sD4ohGYJtasp6yLUUJEJ53zr9ctVhAnuHGmiQlpmSaI0VVVhjPBCtre3cXVNuVribM2lixd57rlnQTvyXkpRFe1irMI/rQjixY1hJ+mXEi+MyER8YipshlnWJ0kW6FBYMyIbXXJykiYkiaYsfTDgTFNnx3kRS+wlCWmaYGuBN40WvkA5GGCrml6vx8bGRpDRlrpVEXERFWfPYDhsru/jtu5GlQTDDiBN0qbC8OkWa21FEjKwlo4eERrnXJOVVRQFZVFIKNM6altTLJfUZYFSbWjBN/9aY0+Wa4c1NT+98Qb/j//o30PVkqbqrGfhYZbUlElNZS3GJ5IubhQoUb12Aa2QOl0ejKPypRhUgslLPD0WQxJwW/RxVDDE0IE0GcaBObW7dhARMWFojCHtbCsj33RUEL9bY8q2T8+49jqifodXhHI5UnMN303Vj0qvNJyp7gm7BkkY4XKPvr1mvMdrsMoGb8s1x/MATrUGQefwp+2MmNrdXlv4jm/v5dQ7qAAB6LDLyfU+hs3cOWMAguJv0ifK47sdvnYIuQd9yht+1AWK1+yaMJdk/yi+9rU/lxCJ1oiAndTTUt4GRd+Uk8k+t+7dxHuYzKZybOexVcnxQc3W9iY/e/89UQ43KUVRMJvNGPYHcFP0gsqiQBtNUS7wlDFST6v3Iuti80xCgUtBsiwg2jqqCTm2xgTIvZjGohROicUGPqWnrD1VtUIt5HwH6mFzfu/FshcHQBIltBYNq0bnLEkk+cgkaJUImdcY+v2c0UhCO73+kNFog+FwQJ5lDPo5WWYYDTNGw4zxUEI/vTyn1+vTy1JSr0kzRZaG+eAVznXHo8JZcQTitFQ2oHdek+UpWdpjPN4EIyKbEVD3tfDlhINkKQvL0cmCvYM99g/3qOuKyXTG0WTCbDFnWazY39/jZDKhqAqW5RJbVjg8xoTEB6XQSUoaBPRqb3HeRNZGWF8cdelZ1jWVsuALMVKPJ4IopQnv37mDSQx5P2U4GLCzvcmlixe4cukCO9tbnN85B9cU17Z3gvRXO/B/EfNEC5dE5mbIQpgtlmdPq5+jVSG7N0YBJNTsQl00eRCHRwdsjBOwliQTo1g5H/IgZKbWtkbK49QfifI80eCROL9nMl+wd3zCwdExRV0Fopfm/MUL9McjFpMpOCf6FF6sVOdgNlvwvR/8EONhtVyBtRivyLShl2Si2ri1QeUc1+/eYj6ZSiggqCRbb3HWB5VM2YxVmgXVXcvO5ibPPvsCRbGilwjMOhj0GAwGZFmOrWvKYkltS7IsQdgEVrxmHQeYLMw2IC3r8c/OQNE6aOHEjIQpJycTtNEsiyWz+YzZdEqS6Ca7KmYvWSthteVywXK5aAh2oAIJWDZdrRRpmolhsFrhK4stJaW0i+Q02Q2BT9MIHCYJ/d4vTlaLiqXaBIE6a5v4ajc1spvF1h0r3dBgVwk6HifyC2JJjCxJMYhYWtQ/626esrn6oJsDKI/VNTZbUdg9xianKI744q9/noNqzjuH+1z71Kf5xl99j1TlGBcRDAs+iL5FryzUQHI4nPYNIGa9Es8tbp7q0Rh1w3Ppvhi95VPbvwpkWVnQ3KnNtFtgIH4rqhf7zkYtPBoXRMsgZE+FT+pOzykIIQHVMSraS+oaGdFM8l5KJ6wZRt5Ta0etxbgzckLRvOgaP55g9Ug/ufbw4eriuTolP7wNyQWauEsbbRqvXilNikcrQSksNGUrWsOmFeoUvS1ZexxiKElVcvmsoGeNSFBTmNSfZURpHcJ48R6aRyCif0RnyIGWoqbeSqqss0hlde8o6pJCKRbLGYfHB0gF8EQK5/pQrgPP3t4+Dw72ZadF7gPnmyzDmIIuInhy3njZsta2yF73ORPHgUyigB4oGfNdlBEhU6PCZzvrn0ZS84TPE0jAKkpZEFSYW9RISlvoUErFo1QNrqauxDHD6qgogvdyPCFp64AcmKawsCCrct4sgV6eorXBJDlJNiDP+/TzjNFowMZoyKDfZ2MwZGtjg+3tTcn2GQp5PM8MvSQhU5pempDlWsLCdVA4cQprQx2tYBz5oJisEUCvl3qGPuHg5JgLO5d4/rnnyLOMB7u7zJYztra2SIzm5GTCyfSYk9mEk5Njjk+OOTo65mD/hOPJnKKWcPiyWFDXnspWoRy7CDjqNDhcnfVHftd47akRWRZR+C+Ynix4cG+PN998F+8deZoxGg65cuUan3/tK7zw4rM8fXGbzcyQa0OeZ/SzmFb/8fg3SkHtIiczRaGlhqB/VDvo52kq7DFpmuIRnSgZglqkNZKE7e1tBn1Z47yzGDTaCXdIygZZ0aPyoo21KgoYP/6cTzR4Prh3n8NJkPKGJjVQQVOyITWGzCTYuqCuO0IcHinQWDtylfDZz3+BVGmM8yTKMx4M+dSnP8XnX/ssOkn5x//8j/nhG2+I2nFZUlV1UDv1AS0og8icZjKZMDmZiHaKMaTDEb00Z2dzk62trUYgz3vPqlhQlLOm7EPzkB514s5o4UMdtEcE/8TwWa6W9Fc9itWK5WLBdDohzzNmsxnz+Zy6rpnNZqxWIhC2WCyZTCb0bc1iPufk5ESqqy+XkvJdw+7DB8xnUxbzFa62uKqmXK4oFkuWi4XUtVoupZbTcsnR8THnz59nMBg0oa5fpqmwiOrOQI7GTsy+6ta8iq/Hv6HNhFnPams9fRX+F70/V1kSnTZISHsx0eXyqFAOQeowVSR9x0vPPcXNm1Ne/vRldvySmz/e59JzW9jvr7BFgVFGiIfeioGjoY2NhEyhgO7F62u2uo8xj6On2Bo3YMOx28+0hkvEiFrrRuG9CcZXg7PJ50Luattfru0/JERmHSQkApc7GwpKSlhC+WAI+CBNoGPVLNUipipkPUBDzFdKCZpRO5R1opHiAwLkwybqnIQkAWVSnFZY60Jfig5JlPfPk4x+mlNVJatiibMVRllSHQ0u6X/lFHhBSoTYJarFPm6wNtSB0hrnlITyUGAiKhTMAevoaUM/y6jqmlVZNxkxRoVaZjHTMzx/QjhVisO24YBm/KKCd6SafpOQo/S5RwixkvVpm31Kbs6FbCXAp0KABaK7JTWhFF4H/oJyaCOClMq7wD+U0BSBH9I+vjOMnW7riGtG9Mt739xGHKmCAkaDJ4xaFVCj6EurWB4jfMRHZzHwbZDn59AopwFRy20BBpHPMGEcehfkRUJ/eCU8uVbxuL1CW1uWdoVHUzuPizXTA/LgnUNhSXUKHtIsCyhTSpam5L2c8eYmw8GQndEGm+MRo0GfwWjAeKPPaDhgMMjo93tkWUqe5QzyVAjfWkWQmGKpWThRXk+GOUXlebB/wMnJCcPhBuPhFq6We7929Rl6eS4iq5VDk7JYFFy/eYPJZMJoY8TxyYSDw30m0wnL5ZLjyTGHk2MWqwXWW+q6DPqMStDnPEFbhTdakF9j0ElCXLVMKEzqa8OdW/vc2ftLdJ7TH4SM1azHhXNbfOr5y7z6zBV+5cVnyBLT6euzm0b4Vc7Hv1qtoV+m5Zk4g0kihOO4FqXB2AFPmiZkiUZj6PcG5FkawIHAWXMid+ARx6C2v0RI6+H+vgxgY4Rp73zIG5cF1XnHU+fO89QrL+OdpypLDo8nvPHm21RlzSsvvcivffkLFLVla2tMP01EydJoklDYM88zTJrwu7/9N/kbX/1VFmUlkDaS0hk3316ahNRSRVVXrJYrvFIcLZZ86zvfZXJyQn84kPCLogmplOWKuq6Ik73ZnDo1f9aRCYDHW65RJDBJTIOuSLE2IYvFbKu6qjsclxp5DjJYbC0LpBgPvtG6qHQVUBQT0KmiUVmOhTy10tRVRVXKP9NBXRT8QpLfLZgdPTnxRnv9XlNOIqI6XbJyN9Qlwolt1hq0G4YJIUFHyN5QWuo8BShTNoqwqHeMD9Gk6dY6l+MW3rG3OOKN6+8wXxzxn/2X/5SJqnlYlvzwxi28T0nJ0M6L0Jl3yHK9hnc3d7z2pH+OWdyVSWjhjtMHUad+71hYzStyh41eDl5QhroidZB4KerptRayoHdkHrQFlMNGo8ALudAT+lSrUCTSoHTCytUU3okmCSAwcGukpkmKweOKJbl3bFhNVosH7xLFYrmk1x+QD3OUUuwenzDc3OKkWnFUzbE68hQIqqiaUdbj0vYOR0cH9BPF3/qt32RrI+f9t9+UsI2GSxcvMp3NyAZDZosVP33zpzz3wkscHh1hnWVztMnl85f56Zs/o0Zx5drT/OgnP6WsLP/jf/ff5duvv853v/N6yFDzjPp9rl26yMOHu6wWxzz33HMMBmNm07nctXckWYINZSWyJOfevXv0ez1qW1HbGp0YennOallgK8tg1Kcqq+bRSc0+izbQ6w+YTieCtDmPCxXdtdFUZcloPKQ/GHByMqUs6wYBVcrjjXjPXkt4SCuRT/AojFcNl02bZA15AtY97DPHrV97Q2zWR9kdkX8YDRnCbJEB6tfGrPKBuB0Mo2jQt4rtYshFg4agBeZdJKQHRfXAeZHZHbgujUrw+j0ofLhGTxNtjuUZAk/Oe1AhZ752C7neWhSbmcDD3TvEM5ggI2KdRSvJgkrTlEG/T5plDPp9dra3GQ76DAcDtjfHDPo9+vmQQW/AYNjnoFiiUGxfu0K+NSIb90mGBuoMqpwKjfGKRWnBKcb9Hn0Sjg6POT6e8NoXv4w2hv2DPcqiECX7fs5kOmFvbxfnamazKfP5nMPjI+7tPmS2WnC0FJTIVmJwp5mECJ1UCMbXDlKpD+lLUaUuyppVUuDNgr39fW7d/IDvjnvo//Z/i9deea5jnT++GS3q8QRF6cdlHX/cpoA8T5oIgpREknCUUgQnIcibaEXtKrSUWGgqKySJcMCW5QqPasrGPKk90eDRTjJBJA4eBnYVSEMenLPsDAfsbG40E88rkaEejQd85pMvsb01oqhl+vTSx2/GF3Z2uPDx+0vOBdzdPyDNUiGOWaneW9ellHOwBVUtBk+rjSMLS1Q7XkMhujHuzgONGjU6ZETFQppJIoXnkkRKGcg5NIlO8U6F2idVCPfIkXWA7mMmgujoJGh0SOtO5W8lIbRoEOR5DiGeb2vhw0hBzFVzjR+VkvdxWjxfXYsM/XQqaNV0OmVzc5PlctkIDIJslDs7O0S9neFwiPe+4RhFUSxjDNWqINWGsigaZeb4UzDxCLvThh2cF9TCiTCYcp5LV68wOzhkjxrfH7BwmlKnJHkfYx3aKzEGAgqplZECmgFKx/umeKt1cYv+BSaw7xBsOzWLeOzxZJz1ej16eV9QwsW88Wy0hvFwKKmXqxXjwYDPPfMCvdKT1DX7VcneYspLV59mS6UMak/tYakdGQpX1+weHpEPBly5fIWqthzNZ7x/9w6XX3iOg+WMd25cp47hnvayUEqR5RmJdxSrOc9fvcIXn3uFvPZ465iXBdevX+epp66wsbWN05qvv/4deqMh5dxxMJ9gvSjpokIdMZCivLamXK3Y2Bzy/DPX2NockCrH5UsXmU4n9PKMwfAFKq25ff8+l44v8tW/8euU1lOXFb50bA42WC0r7u3t8cyzz/Pjn75DkiVsndshTTNsLU6YdsFQsA5b1QzyHteeuspotMHe7j6bW1viBWrFaDwmSRImkwnHx8d84tVXybOM2jlMIpmIt2/fYT6b88ILL0idttBXVVVJir9WLIslP3vrzUBidygvybrKCnL1W7/5W/z2b/8t/sW/+Be8/oPv8/Krn0BpQ+kqVKZJh32WhSR6vPfO++RJTqoU8+MJeMXOzjnu3Lkt3KkmXiU/Imj5+NEb31EN+fsRhKdjM8kK6E9taAHFaWyfgOB00EuU7iBENMaObBohJOulhpyKaGYskEonNLaGYwKNCW2ae1GS4tt2QyTox6+oYAjqGCxu3gjnDtQGLcevbE1ROebLI0LwBPeBJFSIfpgI+qVZRp7m5FnGaNBn2O+xNR6xOd5gYzxmY2ODft5n0O8zZEjP1ZhMk5qcSkONJh0PGCoweYazNfuHBxweHfDSSy+y0Ruzbca4YsloMGBzPGaxXOG9oDdlXXE0mzBbzjmZTdjbF+He6XzG8eREuERViascSpegK3F4MoMa9qWmXZqgvWc2nfPOB+/zhZeflSy6JzTvoCjrUPhUqhNIOaRf1uhpHQPhSSZok7RosYfFYk5qcrIsJ8uyUHA77qOggjhukqQURcmiWD7xnE80eJwt8U7RyF7akD4e05ZdLemVnaaNFHTTZtBMpDx5clr2We1xXfmo/S+F9oqq4JmnX+YrX/wif/GNr+FchfNt3aYkCVVylUHrFEUhm0wopRD5BV24OP5sjI4sayC3LBOhun6/3xhAvV6fYT5i2B/x4gsv85WvfIn/4P/zH5D3+wBMT1KWwfBKjGHQH0i3hjjmaDSiWK2oiorLly/z3/s3/g0uXLjQ1qOCUKy0lIKZqxUPHjzg4YEMfP/XYPBI6QVB0aaTCQeHB2xtiaGTZRnT6ZTj4xN6vX6jpnz3zh1OTk7YGI8ZDgY8fPiQyWTSGIhlWZLnOUoJQmS0ZrFYNMeMRmQdQ4dEfkVA+EJ4EkSg7aWXXuZd9w7LxQpFTppKWYbU1eS6hrqiLouQKpugEg1KiOCR65QkCcvVkiJoREmwR5059h63HPgYu/BIKYqznO1O+EgFLk6SJmS9TPgmRjXFFiOBNoZfRoNNzl24TF47dFXjlwsmyyVJmoNJmNglHk+pYVIUkro/yjlczVnt3ceApOPOZ6xu3WIWSNPdC4yblgu6PnXY7G7cu8f0eEJPJxglMfuqrrn73tshexAOZ1PcasYyavWodqsS7MuzshWT1YLSWR4cHPIf/cN/RL/Xw3rLbLWk3x9R2wrvnYyXzKDw/JN/9qcsFitsWTE7mTLIBszmSxZlyRvvXWderNBJwv/p//x/kXo7Wks0yYtQ2v7BIUVdU9eOn/zoJyhjhKirpF6PQzbbOBacczzYfYjRphHXzLKMk5MTkiThzp07DVduMBiIrpG1pH2ZB9prQcBd3JC9hBFry6g/JE9S7ty6waUL53jllRcpnafEMdgcURnFfDHHaINTipeef4GN4YjXv/VtDvYOuXTtCnfu3sYrHyqXt+OyIaafPTof/Vuptddbc+hssz/WlVPNd0WLhoCGryFMyhG1DqIQqlJqLTNR0EuCbtr6/IiClmfPt5hV2x4pBr+6RluMtTU0/sYSaue2UgobjhfDecKT843Rp4xvM8KC0VXVNVW1ZLaEw2Nx+LO4r3i5N600WZIyGAzJ05Re3mM83mBnc5Nhf4irHZtbG9zYvcVg0OfCc1c498xFRsMBPlWoJGPnqUv0khTvLLYAW9UYH9Liy4pnLl5m8NwLrFbLIJkBtXcUZcFkOmMyn7JYrZjNphweHTFdLpiUSypfoAY5ZBqTaMpVcWZPd5v3IaKmg+abFwcoFoztljv+eVvMdDY6QSktSvNIhMSEOoRp0KMyRvZfWatlzFjrqKzHeomK1AEIeFJ7osFT1lUw0pVoKHgRC4xeuVJeQlOdFqtUHx4ecf/BHlubo1+K2BRB2ceZTCbRlHXBZD7hBz/5EfsHu80iZm1NVYmxEMmjIMM8WqhdiZyI5MRp74OFHxeKqGQZDhLEv/JGCydaoEmSsbm5xbXLl8kGA0xf9IR6vR4TNZFNN5ScyOuUOs+lRAViuSZpQpokbIzHjEejJ/bPpUsX+dZ3v9soH2dB2O/n6fP4yYDZ4CoH1lIslvSznP3dXXxtKZYrlvMFRVExny8pi4rjwyPKVYGzlsV8zmw6pSwKJicnYoQBw+GQXq/Haj5nOVuIxxf+DQYDoiZS9F/lnzwLqWFjAqfAN9XQUZ7R9gavffHXuHzpGq//4Ee8897bwXgFR8Hf/Ju/yVOXr9Lr9ymDcXb+wgWyVAiQb739Fn/8x/+cQR7iwgGKP92CD/rItBb7ZD1kEN+IoaK1DSWsrZP5hMl8Kr0dNywvysfz+UJ4Hc7z4GCfP/7G10gdqFifzHtu7++JnRXCHRYnmk3OiTx+0Gjx4fMqyfGzKbWSpVurIJzmfcjWEY5JVTsq79FO5CLmk4n0h1ah0nZAx5CwkFWig1VZH4TPovEn9+u0ZzqfM5svpIo8ioPpEnsyC0RNw/7sKHSQbFHGSMX723cOSTAI9mk4tku80VilqaqVpPnbCldZlJLwhAqE38VyxXwh6qsOqUtXWdsYPB7x4VRnThujmcymwgnpcPais3N8fNw856g3hQKdpsI9IRojPqC3DuWExPzn//Jf8o2//HP2Dh6iMsMHN6/jTIIzBpWmVE6IxM558izl3q1bJFqzu7uPLS17B/us6kqEBVXs3zDmVLzerqnZHbmdv9Rp46hjNKzJJYTgkhKHcH3MyyDWjZUhXJp4du2jxpRGR7mE7vcjkq4lwOTDWOkS3NuCiDRJMGv3szYRu5DVqc951bnniDnG9wOW1SSqEBADH65Nwm4upu2KFRSoEMHYM4FQj280oSpXUVc1s6NlU9k7No0i1UkTVsuzXOrq9QdsjMdsbW2xORqzs73NeDBkczgiQbKxfCb7g00UFYqychRFULF2glj2kx7pZsbOeJveoC8ljZyVOWArlq7m/Yd3+dZbP8SpWgqiPqY57zmclbz94V3ev/2AZQ2T2YKqLqmdYVU5lrWjpzSpavebn2enF90lRZ7naGVw1rFardjeHEniDIpeL5d0eKVIQuX0LBWzxdpW/b0xaH8Z4cHVahmyBsDXYBCr61d+5TNsbY25d/chSadehwdq51gUJaqSopy/aFNn/H7WhqOVorKlEBwREaKNUP8q8ngUBGKbaqvcxv982HR8O8/WzhE9+PC77hg9XZKu0qLVgvfU1pIEbYk0zWWRdetGSFt+Iaz9QcvBevEijdLrBtZjOyqUmzBSoDL9BTg8TfOyCKUq5drTV/m7f+fvSCoDUIQwVJKm3Lr9gMnJFIXm3M4FEp0ymZyAVywXK2wgr+ug3lsWBRrFbDpjNV9I0dUsa7LpYv+pYAS1vaRoLNJojIYFJE17fPKzv0JJyl/9+B22L75I9eF9ajfHuxLrPCezGWrvIcvlirKU0h7vXf+Quq5YLgsmkxOSXiaLfQylxY39l2ji1Z5yVWOo55QhqmJGvI/zx6IRro4YDYY60aFQpAnikFoI3EGPIlbxVgpK38L42uhG/4qQVt8UxELGu4/EWBTKaKpaUleyNMVpka+XJyHGQeRbOeeofFBMTAxlXcvjUmFOISHeZREydLQ4Ds75oEYctEo8YqwgCsbKafCaPDHkKsGVlrqqqZzMqSxNqFcVBIJrakSxuAhGt62rELLW4KwIpQUvXymZq6W1IQ1cNwikB2wtFcfTNF3LTjTGiICpF4RbBS/eKcmswQddLg+gm2Ea1Y7nkxlKQ6ZTUcvVHuWilINw16SqgKecrXgwu0vta0wi+le2rDBpeKpdA7szTYI48Po7pxbMaII39kT4JWz9xJhUY3qcHqvN39HQ0bTDPJKeW2Ni3eBaP5Z3PmjUtOvwo59VrbEjFgjt2eLG1mb6dQ2Z9Z8EsKdLu47HPWUUehdC4Z11oOPINOdvHBofMgNVZ4mSue61bz6DEo6JVaJB5isP5QI/kQfXUCyAJElJjWjxjNIeO9s7jMcjsl6Pjc1ttldLNgZj+r0BaZ6SmT5GSUFPbyXpZ+VkbLlaKCjGJJwbjVgB+q0fN6V8zmree67fO+Yf/Md/wo/feIfJ/Ai0VGjv9zPyRPHhB+/z4x+/wfmLlzh3bovL5y/wwjNX2Bn3yVOpGp/q9XG0bmrHRGUnPCSjpb5lwNPkfc/0ZIJyKfl2jlZCcPYI/1MbcYRrZ0UUUWvJ0npCe6LBM5tM26ur5ZLLVcUPf/gTrl69zMnxlOefe2btO5VzLMsav7SsivL0IX/u9lEWYyxWqbRuUIDT2UFAyN2XvxMkRdqE8EZcqM+a4LJwhXN1q6YHXk6U/JeXY7VcMVpQCmNS8BqtxAuIRN0204nm+zqkd8awy8dCaTxSmiGksJ6+75+3RcLySy++yFe+/KVGk6c5nfdUFv7oj/6I3/3df42tra3wDEps2BSqWlL3hfMglrlSisnxEd/+5jfY3z8gzzM2Nzcb1VgdvETdWWgiKbjl2TRPBp308GaIHl7g/EvPs3n+GssfvEld1SiVokzGGz99k7qqBBoNhpWt61AGwJBmKVme40JZAOWhKeXVOaEsm+veWmyn+yeiBpIRtv4curpMzeeDToy3Dmsrqqqkl2QUy5VUgnYCWadJ0gzERCc4V6OUYTgccnx8RJLKvcjGLehGWZbkgx51LfISJpHSBlVVkWYp2xtj9vZ2ee1LX2J/b5/bt25x9epV+r0Bd+/fJ09T/GLB008/zXA45PDwkPv374PyPPfSC5w/d467d+9zdHzEpz/7GSazGXsPH1IXggxPp3Nee+01zl24wI1bN7ly9Smmkym379xma3uL6WTCfLlga3sL7zy3bt5EWU9qHc9cvcYo67GYzTmaTPncl7/I/b1d7tx/wMXLV7hy7TI/efNNjo6P0B6uPPUUv/Wbv8n06Ji/+vrXePXVV1multy9/xClNVnWY7VckqRpgP4nbG5sMhj0WczmfPWrX2U8HjObzXj99dfRWjOfz0XMM81QqfRfWRQUpchIeCMJGD4gOVorsixnOp2RZZkkK9QWpYXjZ61Fey2FDsNrUSfBK8muc1owkQzdEsrTkF3mBH2jY0t7xGhuUux9+F9c007N3TB9mrEqfwrnyoe1iMYQenQtkfVFB6M+nvIUh4Z1c6c1O+RVHw2jBiWSsFGLxHRRm47xtEZWCl6o76hLdz8XcVmBeDrGTriaEMZa+xvpzKiuvd55kaAd9Gi6YbpgiHWXBzF8ApLdBGHCrXWz/UzQ1qIVVy3rAsoV0wUcasOtw6B7ZDSYBG1S+nmfXt7n3Lnz9NOMzdGYjcGQ8WjMxnhMP++xmY9J0lzkQBKD1QlLa3E4rKtxj9GsccAf/ssf8sMf3aauEzQm9L1lMZ0yrUr2Hzzk/Xev41TIhuv12NrcYrwxZHNzyPntHV58/jlefv4qF7aGjFJFakzQUcpJjKLyHhJDklrACZKPwTopX6F1Qt7r41V7nZKFrIhFs9u9VPq0KH8Jg2d6Mgk9IJkHWLHKl6s5Dx7eB6e5euWpte9UtaWoLJSWvwZKyUc2pRROqaCjI9C8VwplWhlsgWGDXxINA1q9me7Y7iI44oX67pQDCLF8g9ZSdT0+hO65muNqjSMWAmy9gyRJKMPiEWXiE2PQSrQf0iQh+RgIj6hTm1Az6aOltT+qiRcfZLsf4wHkeR5ExZKmv4zpf+SxR6Mxzz77HNZ6ZrMpWZaR5z1BeUxCXdUdY0ea9xKS6F6MUobSaealZjPb4MrVl1HZedLRU5SzQzKdkuU9bFmIJ+5E90RjSLKMsgoTx9OcM80zEm1a77bbJ6qTfXIqXPiowSMbgIuOZOcYWsWyIK13KEazw1Jj65qnrj3LtatX+f7r3+PLX/oyFy6c5+j4mO3tHRKT8IPvf4+HDx7gPbz4wvNcvXqVv/zLv+S1L3+FX/3Kr1HWNSeTKYOxcGMGgwGLxUr4KsZwdHTMH/zj3ydJUzY2t9jbP+DyU1f5xKc+w7f+6pt88tVP8PkvvMbBwSEoxRs/eYNXX32VnXPn+Nmbb3Lnn/2XaJ3w9LPP88wzz9Afb7K7t89Lr36S0XjM9vY2icnY3d3nv/rnf8Lf+rv/Gv1en8opXnzlZba3t7HWkvdzvHfM5nPxzpTij/7pH/LhO2+TKDi3scUo75GZhO0LF3nty79K0st5+733uXn7Nr/5W3+Lp559nn/4j/4RXmkWyxKvNBubW1y6cpW/8Vt/m3MXzjFZLqmdJ09zFBKm/+C99/kn//j3yfMevV6fjfEG58+f5/j4mPF4zLPPPstv//bvhEwiT2rScI2a5XzObD5nvlryZ3/xZxwfH+OV4pOf+gSfePUVbty4ydHREb/6a7/Gwf4+3jlefOFF9vcOuHPnDpWz/Oz9dyjrSsIavV5TYLMsi2D4qLAHd9aUAAPG1aoNv0t4znUnTMgSi9IA8nJHtr9j8ETCvFJC1sX7JtTRnQnrTmT7swVjwpUFx7ExiB7xvWQl1Uq3nmQ8joeOMARNCOoRme3OcVX3dc/6CaPhFiG38AUfDCvvOshRNLROI1PteRqHN1ZrJ0rfqVPfCZlE3rN+tBYqajSwcAGgk/O3vCjZ17yqaTLSQnarUp6ytLjc8PzFba6/9yE37t9tsmcNijxLGfQH9Ho9Rv0Bg8GANM+ZrBbU3uERMdazmvdw9+4hZWnoJT3ZUytBpvBWIj4uZIF6j60qFnXFYjZF3RNjxaPI8z55LydJNImBPMs4f/4iTz11mfM7G1Lt3Ct2tncoSqkXWNYOrxIqbyi9JukPGY5E6VspTZpk4JVkPTd7OdTByf6lODztJBF9i1hSQcanxnvRWug2rRS1tShr5bP/NbetoSxQ9x48COlqgF43eNZaCEvFhaMbYjgLGWlSrMPfsWREt3hnE/P3kQTdFvEUxEcmRDckthYa0wJHNtemNHkqhUs/quV5TppllEURQhS/nBiUSSS85F0rcHa6ZVko+vlxQm6dppUiCSmgxqSk2YBeb0SvPwBlKOp547HJ2iQ6PFmarcHpDk9t4WdvvUN6+5Crz80xvR3mx/v0UsPQDPElbF64wGAwCKn1Qw6PjqjqmldffZXxaIQyiixNuXv3Lq+//l0h5z26ksrSFDeL7jtNiOq0F9xxULtH863sQfcNpTUYjTcGi0LphDTr0RsMGWxscemZZzFaCkq+98GH3L3/kNRkLJYF+weHoAzzxYqDowlJnrOqHbt374nWx3JFVYkxtZjN2H3wEGc9Gt3UPzs4OmLv6ID7uw9Yrgp2jycMB0MO9g+4f+8+t27fI8tzTiYTam8wKN569z1u3r7D0fERi8WKrN/nZDYLNdeGHB9PuL27y3/6j36PNEl4sPuQd6/fJO/nJGnK5uYmvbzH4f5+0Jax3H/4gLKuSbxib38Pt7nF/Qe7zMqKIvkzdJbyYG+P3d0DDo6PKKoCVzuUUUyPJ7z7znu4uub23Xv88b/4E85fvITKMqzzUmC2l3Pz5s0QVk2x1lMGNGo2m1EUJd7Dgwe7XL9+g42NDYqiIklSLly8SF2tKMqKpNdn2EFVtRK0Jk1TVqsV480xvX7OK594hcFgQK8/YrRzjqdffhmvNe/euc1ickIvTRkNRiRJwnQ6pS6qzhjv2vgdA5uYndQaG832qSRUpLRvxmY39NKCJi6IBop2iaBBugE9mjWxA3Q0ekQqnrsV1OyuN2cJkwoiFDmUKthEZ1hDZ643pwyQNWiLZj59nCVvPcOtVUSPf5+em4+GtwNN1wcJjeba1g0kWSpc57vrlHCxqdrQsjw929yUPJKQsRauySMGl7agEo9WnixRGCM176wOxThDMkatHMtigV/NSCZCIbBexPu8cSSJbq/lVPMeylpTWUPCEl/XeEqctThXBcRKkgRQhNCdar6rA1LnqoKFFQPEO8n2vntvjx+/8TO8r3F11ejrDYdDRoMeo+GA8+d2GA97bAz63Lx/zNUrW6R5j8miZLaqGWYpdSi1pJuxJXIx5UdElZ5o8CRGLEaBbx2JCiqkCpRP8DrtpBKGzgozz6QJWf7RG/Yv23JjOL+9TRIqdetQ4MwkRioUBynqLqmqDS20ImzOuUBYVSgMUXCL5lvt97z3IhbWgS0VSIhMG/ppj0SJUmqqDKmW+taNARmO1fyuGvwgGEWKNEma0hOnm/ee2XxOlmWMBkO+8NnP8d477xDjxL+w0aOk+J8yK2q/fCyXxXuR8/4okadHjy/CcZUDdEaWDxlubJHkAzFOFyvxDpvzKIyS4ociTKix2jErSpy3LCbHlMdT7t2+jfUJmXb0e/DsU9eYTY/4ype/xNWrV6XoXpoxmy+4cfMGzz7/XHDmrCiuOkcSsiJCNxC9tigpAOsQffyEc48ueGi19r34LRU771SfWBXKcijZ6E+Ojpgv5nzjW99muLkhmXl1jVGKYrFEGynDce/eA+7duw9o3njjTd746dvUXgVyr0TCfbg+bQy+tiRIbaTKVuwfHVI5y9e+9rWQxai4N1tx++4DrPPUVSXhF6+l+KtSWC917G7cvI3wpGUT+NrXvwVGYRKZN7YWb3g6OaZeFSijOZkcoYzGexWyDStJevCWLE+AGuM8JZo7uw+48/AB1npWtePB66/jjMJaT2JS3vzpzxpI3lWSFfX6699HaUgU/PAnP6WsfwhJBggnTishchsUvTTj+OAErcU7PNg/xBhRAj7c3+fOzduYNBWnzhjyLJPq8rjg6CiqsghaUZ533nqXDz/4kMVqCYnm/es3AgfISJFSq0iyHLTi4PCYxCTYynF0cNzMKeVNM+ca4CEgDu18PpUOHl5pjJ/GmFg3RFRnXnV5cY0eWQzpnw5hdb+v2ld0LKQar+GU9lb3967Bc6ah4+NxBetormcNIg3/a4yS0+tb57trVx7W9LXjqcd8p/PtM/rQBwSqNXa65+jeTmsIxf83yPWa7RYszBgS6xhP3fp1TekjAnoX0JXlas7777/HcrVC6YTNc9uMRiPe/+ADnLcSVdBahEFNEAdFCPZa6TWnu9ucA00PZw2Vl6KqzlVC36AOKJSsV977Jsu06dPg8XlXdx5ZfK4B5fZBLNIIh2+xmFCVc/YPdvnwxoeBoK/IUs2ol7ExHjHob1KUcFHlpPfuYF1Nvy/aWQBap6yqX6K0RJr2Ark2VE22HqVr8bFdiid7BOGJ4c/Il/hvoinEuEhCiKUR4mvCSOsDspmEEIrmdd7zkhWiQmU4H2BPD6Fqe0RoTAgh+Yavg5YwmRAm4y7pgwKubQr7NVke8ZzRAIvemPMhk+jxCMrP3nqLD2/e4O/9nb9DHrKOPKwd9xdp2kidKRF5OrtFzR/7cxo82hi2L1zCfXiLStfoXo9stEFvPGo2/OhdesArLcX4nKRp48FrzVvvvQskGJUxSDTWWzEWdY12Nffv3aEsl/zZX/y5bE5KU1YlDsVsOSf7q1yKsQK+ttR1hUIy8nT0ljvGbGP0n2GsnNVL0SjuGrhyTx2vMn42hjyDhtFsNmMZUqLruuLk+Jjtc+c4mc/AQ2KCjAIKrUTUUgceiJCSPWmm0Va8TBX4U3JTWjwtJWmsykol716SYRAStNUKrxOKsmJzZ5Onn3mW6XSJ12LMpGnG0eEBw36O92LEl2VFkudUTmoPbYw3JFvHO55+6irvv/MuzjsWZYEDHj7YZWd7g35/SC9P6fdyWeCMoV6VLKdT7t2+w1NXr1Fby4sXLjMP3BlBnEUjZ7VakOWZkKOXS+7fv0fWyxmPRzhbo7ShqB0nxxN6aSrXpRTKOqpViTKy8CZ9KelSlgXPPPM0q8VCxmucU97jbNU8RVvVOA1KBadISSi/shanFM56JtMZIATU2vkgNLoUD1hp8KHOE2sMj7Z51lPQw0A7zWaL76kzXl8r+hoP2hgW6/9vjY6zWzzWmj3k40a3buDE38PVhbC9rMNnGjyda/JeP/L9OG9U3PQFxkedup4Yols7ckCv1o8ZzJC18FUXJXpcP8S9xENEYE7N6dZ06VyHRwQb166tYySo8LdvPixH8Z1n0+lbAOcty2JBVVWAcMKuX38fkybU3oU6lQkKSWZpjCnvMIHhLlIhj96rtZZyWQVhUy98H29lnY3aD2eBcw3i1u3DeD+Nfvkpm1qyPvFSqxKtUYkYeA7PqraU0wUHJ3OU2ifL+9zbe4D6KYwGQza2d+j1Mt57+z22tq9w/3D2yP1025MRnkCcjYu91z5YakJGte7RjBbZ90MM978BEo9HtGN6RtL9XKg7JRyNyLlY/3z3d/WIZ+I7G5ZwdQIc0AxQF2K53RpTMUW43ehojuusQ50KEflwPBUGu/deEDSCEmySPDFL6+LlS/zhn/xz7u095Ne/8qtiVD0Cwf78TQSdUkG4HoMSOaSmS1nXZ/pajz22Urz43HO8f+Mmx7Nb6HxA0utjUtFZaLKbQlOo5vk1XBfrmE2nbGxu411NkmTkWqr3WlvjfMW8lnhwVVcswua1sbHBsiwp6pJlsSLLRCpgtVgKdwrJRDMqkhNBnku4Z3/2xnSWyaMCyhlDYLF5zjAQrWjNZr0BV59+njff+GkI0wgpD2MYDIfMlgtB1MLG5EK5Aq81Js3QSlHWK5SS14f9PjhPVdagFGVVcenyJXZ2ttnb32P/YJ9EJyjvSbRkgSXa8NlPfZoH+0dcv3mL4WjIaGODZ55/gdHGFnku5Rree+cdrly+xHg4oD/ocXh4hEMxXc4ZjkZc2DlHYjS2KLDlil6asLG9BRoWxYpvfP0bPP/88zx15Qrnd87JfSrNz954k/PPbWOU4jt8lwuXLrMsSj7z+c8zGAwxieHo6EjCUEoxGvUZb2xI2vjJCf/iT/+UVz/5Sa5du8q9u3cYjzbIewO+9Y1vMhwM+OpXf4PUGKbHIplw4fwFnK0CcV5x/cYHbG9vc+vWTeq6RCmPaMuETbfZ9FWwczTKJGvohVOShSV7giAbxtBSAzrH0OE4pwuYdlu77AQk2uszP/k4o6n7ahsGa52KtSOcsXbIUI4GSUvMdTGTCRWQ6HaTbpI9Thk36/yfjkEWY2PNZ7pnb69bhc9GLZ+1uafWfpxCt0KgOqzvkecc15Wfr0W0Su413m+3yfof7t17ovhVOHt7naf3TrrP0bfPKqJ+SsL7W1tbTOczUV1PDN7FUiCWqraSOahcME4U1mmMkzJMRmue4MtKc+Bq0yKOXop6hsJj8rfqZtN2xtIj/RmNHX/qs+2dxnCpUKuMKLBqFczK4N4pydjzrsSH5KD5csGqrMgyzcHBQ5Sy3L13i//V/+C//9hbe6LBo7SUZFdKeCsOC7aWG6YORUTX79B0Nm37GFLUz9PajgwTHlk0qlCUclFVHBwdo2onGkGVeGLGGCHgGg11W/vpdLgnLlQNmhJOGLOpoiXuofH067oO0D2dBcBKRfCyxHnXoMZ1XVNVFYmOwl+0aEEwjKx1FMsVqUmI9NgVtjnnWl+ETfTSpUs8+8Jz/NW3v83uw11eefHFRgH7l2lGJ6Bz0VZxPuqIdfpLkecZtbXCiO8Ygh/VpJ9BGUMdNmvdGDs+pFojyFywMdv7l5+RF+a9D6GqVKq6O8NsVmJDf3tfc/78OcpyyTPPPMu/+W/+D/nZO+/wj//wn/Abv/FVXnnlVbQ23Lt7j36aURYr/uSP/5hytULi+acN+bOz3x7rnZ+1CDbeYffAGoui8gaTj3n62Ze5uLPFD3/wPYbDEYRUcU9rkP/Kr/wKg8GAvb1dfvrGT9k+N+YLn/88N29d5/0P36Mslnz6E69y6cIlvv+9H3JyMkEpxXPPPUuWp1y6com/+Iu/oNfvMej3KeZL5tMZFy5c5G//zu/w5rvvcePubQ6O9jmeT1A6DRu7wOKJ0bz/4XtU5QolWerUYQPUWtgH/Twn0YokZDuZoKW0WC3Z3Nzgw5vX+dlbb5GnudTJGYzZ392jl2XUVUUeCMqgODg8CureNoyBDKU8g0FOWRVsbm5ikozx5gZ37t7l3XffpSxLBoMBxiQMx0OM0nzjm18H57F1LQ7Ru2/jvKTgG62o64K9/T2qqiBG6pWKnDLdWaDb8dCSg+V5S+22qO0SUGIIC7hDr42BbpjoTKzwkan1ONT34zo6jw1T8yg6Eq8M4v2uiZZBs/G34/0shIcAkQtQ0b33aOj4sK/Hz64bZvEKw7fC1bbnabKqotGztr7HHLRgUITiaWdln8X+OZ3t2n2tS4foGoLNNXYMNzGG2mtfA0b8GWtBc59dNzI6xnLuczvnuPrUU9y7f5/ZcsHOuW0WiwJrHYPhmEVZsFoVjPpDtFKSpu2d1KrTCrw+c6R1m/OeYuVRLsFbh7cS1ZEizAFNP+PSo6zIGUfkdOhwbW2XCdWOh6D9Je/ppnAwKOqqhCQhSdLAVQvSFtaSpKIl9qT2RIPHuJU8aDze1Rhr8b4C56jqkqrMKIslXU+4LFYU82OoFMezKZULNWPCZ7x3UgndWlZVyWq1onYRrowd7pqK6WVVUZQFq7LieD5jOp9zMp1y//596tqSmpTlbI7WCUVRSgFT6IS1dFd6JAz6db+nS7RrDJqQMSXig7pBi4qiYLVaMRoNm9IJVVWFul0F1tdUruLW3VuonmE6OWF7a0xtHWUhuiV1LZlBta2pnRgOzkNVVhTFiuVqxQe3bvKDn/6E2llm0ynL1UrSjq1luSqYL+bcvHGTPM1wdU1ZlGIs+Ucn88/TRD48ZT5fUVSViD6d+ozzsFqtOJ5MefaR/nxy88jmWDmLShOSPBducvCW4loX+Qsy2E/nTonhmefBexZ9YJT2SPZBjXMW52qSRIW6NBPyPGU0HHL+3Dn2d3c52D+gqip6acZ8NpOrCzWNmsXfd8dM8M4794Jc3lpTZ20e6pGPETdDj8aS4/WY/obm6jNPh5IGE/q9AYoUrYQvV9cl0/mc8xcuMCo2qZ3DerDe8clPfprJZMrew11cJemzn/vcZ/n617+JMjqoA9dkedaodzvv8UbhjWJRl9w72GXv5IDClYzyIb1hTm09W1sb7O8fUtUlh0czRqMRIBo+ZVWxWq24cH4Hj3DhlnUFodDieGNMkqUcHh8x3hrz4MEDADZGWyyXBfPpiitXBmxvX2Q4GrG/t8f+wQHDoWSXnEyPMRpZdJVhOOixuTUCau7fP+CDD+7jVQqYUHNJNpzj42OieKhpvPuWv+DwVD4kIShFqsF4i/Y2+pVrW4/q/NYZiQ0OEV9phAFVx8T1hHWw8/Sbw3z0fG3m9GPm9uPm/GlRwsctDevGSOe4jS5fa/AogfHDd87i7HT+DsZirKl1xmRZbzG9cc1p0HQ3zHVeTeeafTScWqfWx84/82SPttP3ctZ77d/rh218P6/ArWddtdyscF2n8TUfUauugxevJXzei2NdFAXOy5iVckriiKSppqcyvHOMRwOcE4kK52PUIt7Dk9drax1VYaWkDx7vQp0qXxNR6masdA7lPB/b4In9xenLCcVy40bgw7hpOGhKCdLkLF4ZQbIcoSalRn2E9t+TS0usTihKEZzTweWOiqm2VlSV5vqNdzia7lNWJWVd8eGN27jFFK1Svvv913nv/u3AdXGSRVVbfFVRl7Vot9gaTBBN0u3IscHwiMrOdW2ZLhd4IE1Sjo9P0Gief+a5UOG7rVoMYvBkWdY85NZTiYS99QkauTVnrQhRiEyMGjHS8l7elFYoVgVVWVFWBVolFLbkwe4ub7z7FrPpCba4SJoa0YQJKJHWOmwUBWVZ463EMG1tKauS4/0TvvPd7/Jw9yGHB4eUZcknP/lJsjRtyjIsZ3OwsukUS0k9jgVLf1GjJ0kSlNG89da7/Oe//084f24bjxBYlYNz58/z/R/9kGK54u2332H3wUNWlfSDQnHl4mVcXTOZTiT9MTVsbm8xHo7Aw2K55Pbde41WT5IYoYeroFEkEF4zcYwWArp1tq35ohTO14DFJFI5d7FY4SkhpFs6X3N4dEBZlrz73jv8g3/w72O9YraY8/v/v/+Csijw1jUFT9MkWQtHRrmA5jVXnzJ+wlBVPKpYqs5KbpfN8fQrrchThifn/evvcry/y8HhEdaWLEvLxctjvEuliCSKt99+mxs3bqKU6L7M53N++IMfUS6XWGdJk4z33/+QGzdusbOzI0ar0bzzzttkvYyiKMjzTIzr5SJcMxycHPJf/MHvsypLVAJf+OLn+OznP8f+/iHTyYw8/wwffPABN27c5F//1/91jNGUZcn3fvB9btz4gN/+nd+g189YLBaUZcFwOAbvGQyHGJNSVRZnPf/0D/4pzz/3Ai+98DJ3btzjB9/7EePhmBeff5GLly/xwQfX+d73v8eXfvXXuXrtKZbzGd7VjAY93nzjLepVxfHxPp/45Iu4esFyMZXUbNckWYfHEJ9BB7ELi6jDCR9GgTJilogOjdTxsV5CTtpLscS1FG2id6YC2h0N4bgot0hEG7bxzYbcghdhh1zjx8QN8ZGR0t7ZI+jhWd+IQ7G78XdMt9PD8yxjhw6pmUeJya5zyJacHHuh5di04buY6RXvV/rR+1gpWz7zSJjoYy9luoHcWzTOh3mnmvfag3bm8amN+qOduA6a0UnjX7+PM/pUtYbRo++3Y2YdKVNBoNRxeHDAJMjFmDRlPp83e0pZFUEKRrS2jJKMyo6/v2ayP26PcM5RFiXO1XjEYKqdD7XQQmiuI1oZ++vxXfY4NIt2YHvfirXGItJKxoqUjmgLZMf7VTpENLzGW00r2vD49mSEhzmZrsCXkqbsQZEIKdtCpjNODh/y1jtvslwuCcruDFJA1VSrKR++c8Ld+/e5dPEiSjnyRNSANWGD04jyZLPZBJKoteiAbOkwWHteUVYlBo0OWSC2LNFaYudJYkKIyIbQSy6LkaIhButQ/MwrBIrWqmHAK6NF6ThJMEmG0glVZRlvpIHDEQhdQXjM2lgcNG5kHusqam+lmnLg+tRVLR5qWCjquu7Aozpo+rTCgSZo8ZSrAu0hRWMdVMsVCQpqh1GaYX+Aq22DRC0Wi1+KtKwQgyfJUubFig+v3+LurdusiiX7+3uMB0OuXr3KO++9g8ZzcnzI3bu3OTw8ZHdvj83NLV55+RXmsxn3795jsZhTOcfzL73AhQsX8EBRlpTLmswrbrz7Ppd3tui7c/TyDFtWjSJ1nIzW2obkrZTrGCEyMZfLRSMxHlNB5Xl4qaS7XNLv9/jkJz/J4dER9+7dIzEJw15OL89xznFychLQhD7GJPT7vcYATpKUxWLOjevXBaGkfdYRwj69bMQSCwBKmXaR6/h3IJXcPaJI7r3CO83BwRHlzKMJ96oUZV1jvQYn1bQle1Jh0pR+f4h3lsVCkFaTJGxujJnP51hb83D/IWiHNgrrKhbzFR4Y9DMuX7nC3bt3xVhVUl7B1SvhRhnP22+/ycHhA9I05+HuHonJmU2nzGcn/Nm//GOSLMV52D86YFXO+POv/SlKCXIJiiwVxfO6ruU60VSV42hyhLp1gwf3HrCYybmP9/d4YzLB/RgwhqeffZpVWfDOe+/y8MED8DWurCmmK7TzHJ/ssT3qsXfvPj4ILULg3nXUfts1vZ0XgjTLGzquD741AsSb9p1nGH92jJ6wOCvV0lfbz0ZRvo633kGY5Zd24JxGehoO4SPjKtpJpzdudepTj7bGmPKdn10jpxmfqrUFVLOXywbeWHNi0Mh9tYZaW+28Y/zEjwcjsEWJYsxQENrmkUWDcA1bg7Z46EdtaWGOetoThz7z4T4UNElDj4W8ONXNnWtZdyhbg1KpaPTE619vMbx1+pTj8Zhz586zu7vblEKK9x839+ZM3mHrOhjdnpWzqMB/nE8nYBKc9SzmUwxGVO9Rjb5abNqYtfOs918oV9EYimF+ON0YpyhHi2NHQ+3MXmRt7nU6tgmudearlHxp9wATxHijrtFaSFep8CAN3ses6idbx080eHppjTeeRHmqogoKVy44KxqFppiekGuwRuTwu80pKJWHqiZVikG/D7ZGe0eiFaPhiMVqDspgXVQ5CNVqlQ8qxkJKttZhrEVbh7IOX1UMhsITKG0VuB2SOSULuGoJxZyyZoMB5ELnRwJxRHFUSOcDcLbN0IlE4uixxI048n2E4N0SpSNPp7Y1qWtVdrup6RC0fZRrQl1aa7Y2t/jya6+xORaBJu8c2zs7ZCH93miNNlLo8P7Dh7z++utUZdlwmH7RlqYpqUkZDcdsbmyxmk145uo1fus3f0PErIYDPvnpT1CVJVevXUMpxWKxYDKdcvPOXSyO2gUZ8rxHzzl6aDJl8EqxWEl5iapy3JtO+aP9h7z00ktcvXQZ7TyDfh+lFGmWNc/EhOKhDfoCwsWwtiXU+0iudzKBvGNraxOtDS+++CL/i//l/5w3f/oz/pP/5D/hWrjuqKN048YNRqMRm5ubzXOMGWhVVeFcjyRNpf6aix5qC+k+smQEUl/7t7zrAmrQJKB6326uBJkDF/RA4gajAucrnMyHceO1oqwteEev18fVFdaWqEST9XPKumBruEGe5zhnmUxPKIolaZKxWC6Yzuaohw7vK9K06+0qirokyxPqasXuw/tkvZyyKJmVJ5RFRV2vODrexaQp1nvKqgpwt8g12FKeidTc82xsbKANnEwmbGztkA9yTibH1L2xKFzjSRJNXRZcuHyFO/fvc/fBA+7cv4cxWjJRnCXTmlylFKuCy+cvYlcVT19+ivlyxt37D3E4lDaSEaOj1x2fge9sbsEY8h4dXlfdkEJInY1HiMGYJizRWkbhX9zkaUza5mkFY6p7GawvRY+0J6ILHQTjLILvxzEIOhfYGl2dK2lGaDQa1PrH23toN5i17zc2RotcKaIBpGm2urBGtmTq7oV17+vJm1jzrfgsw/HEwBJDKcqPxHtqkH2e3N+n1+zHfIq1znziM3j0eKPRiEuXLlNVNRsbG2xuboaoRs2tW7fwPorgEtY8KynmXugiWqtAxajwdUhSKBwKjVEGraUcQzdr+UkJRdY5qhCFqGJ2cVNEPBD4VQAJOob9I/MDGufTd8Zt8DiIY6NjETfGT0N+D7IXSgvS6qIidey/UDrG+HVk7HHtyQZPosX7VFHMShZoHYillXPYqiZThlIblG83f5TCqQSfOj7xyou8/NJLjIdDDvd3wddCPlKaVTGnTX0LneVFWMmFzUApRWKk3ozRiizL2D63Q388ojfqU0zrJiXXIwXI1kiFvrUYJTzhGwvZn4IeBUGIf8l7VSlZIcaYJl1cB6GxLBMhvVhzx9oaDY3uR0SGklAXJ26mkfxmAnM+hrl8CEttbW3x2ue/wGg4fOzz8d5TWYtJE77z3e8CMlh/mZYYKVz6wvPP8xu/8Rv8i3/+R7z2xS/y2pc+3ywQnDmwPd/78U94/fvfZzwa8/f/3t9ja2MDvCcL4ogAy9WKr33jmxyfTPjKr/4a12/d4ouf/xUubG1y985DfC2oWWJEYk0bQ5KmndpU7eRy1gbRRrkGF+dRGPxHx8fUleXtt9/m937vP2M6mXJ8eMjR4SGK0PeJwWjD0eEh12NV+mYxj6raSkoEyMHXwiPtFa35gGv9El+Jvo4JZn3YJnmcidqSYoMiuA/el3dkJuczn/8CaZayWC4Yj4YYHMVixrntTd57+2289/T6Pa5evYpJYH9/lzRNebj7kOvXr/Prv/Frkp6vNePxuMlq+6M//mOeffpprl27Rn/YY2NjExH2crz11tvcuHGdv//3/z5pnnFweMgPfvwj7t+7w1e/+hsMh320Muwf7LG5sYkxCaPxmDzLmc5neKX5g9//p3z205/h2qWn2bu/z7e/8W3GmyNefOElrly5xvCdd/nej37Ipz/3Ga5ceYrJ5IQL53YwzpO6hAe37nB88IDF/JDNwZgrly/z8MGeGIZW5rRCjELvwcQS8fFZxHCBjyCHRwejxDchmfZZtkye9VBLl6Mi3+nwTOLP06BEYwycFfb8GNZQ81aAXx5Z4LvG6y/W1sikwcNv/5ZzRIQsckNkw1ItcBQgFK0MPpTJkA0sHKMbZyE+mtPX/bh7+QiDsLnMdQM3viT/ToUQmz1CKCItQvTo+c7aVB/32mm+aLzE7mfSNMc5z9bWNnmek2U5vV4fpQyJydnZ2SHNMtmLnRTNXRUVi9Uc6xzGpFI53Vqm81moV2dCEVsFiICr6pBZI6/nrEHmUTin0CYJVRYs3lkppBplWlywB7p+hA9zxa8frZu93DwHL1KLa88D1bwYSd82mN8KB0qLXEyodOBtKBiivGSUudPnfrQ9WYcnkP2cMdhwQaKqqAGDdZqrzz7PC5/8LDNXk2Q9NkdjsiSRUJQxQfE4Da+1ntJ0NuGf/ck/w2iDR7F9bptXX/kEqTEkoaRDlmbihRvNeDgOBcZS0iwj6eVMnWUz6/G117/D69/9riw5zrFYLESHoLakJsH6ut08EHhMh7pW0cKPA1Zr3fBgZHNzjXGitSbPc+mbNGEwGDQoQZIkkvaXigaPUaJ/kGgRLctzuZc0Ten3+/R6vcZg8oMBtrZrugjW2iB09uRW1VVAq9wj6r6/SNNawn5pkpJlOSZNSNK0uS5ZI84+UZokKGA8HPLSiy+QByOn2zY3xmzvbHI0OUYlEnasa0cvz8iyHEvZhCS1EsP6NHFaprBMrpgkGNQc8Fg8Bo9luVxinYQZ/+kf/gGZTkh1ggnFOUskFNoQ+cJiqYwJXo0gK87G90F3at40F/PIJFOnVrX1X5WH0WAg6dSL1RP91zjuIBjnaLyqKaqKxapgcnTAwfE+mxsb+LqgXs4pV5fY233AfLEArbi3e4/+oIcKlbUnkxNq5/jpz96htpayLMRYd8JQddpw594DDo6OyPtByXtVobVmOpkwnc34i699HZMYiqLg4PCAqij55te/jnOexCQ4bxkM+lSlw3upp2ZD9tJ0csT777/L/dt3WU5XJKnmwe595oslr3//h6R5znPPP8/ewQE3796hLEsSY0iVoYeBRYWvV+zt36H2l7j38IEgX14QBBfGqA2RjW5mX3w0Yrz7BgmQKvItvw9ab1YoBR00o+tMdVWEm3CNfP9RQ/j0wGmfcfN240ycGlcqGh6PbtSdk5469uNW/8e83r22uN6vfeCszTEYaQ36qtY+Hb8voRnZnAC6BKC2eI9ivdzB467/yQtdPKo8765z5ppyG3Eu+CAX3EUqonGLj/fXNZY+3iLb5eCcNnriayqENR882GV//zBITfiG4pAkKWmWc/3OXdIkpZflDIdjkjTBIWKpvX5GmiVsn7uASVPRrlmtmM/n5FlOIKaBUjzc26WuPzoCoPCU1uEIemu+xlHifB3A89Cv3nfuzzdq9G2LvRc+62nQoUZ1XvlOEdl4/qDbpMJKr2JoLdSoDJUABHkxUBu8kqLEH9WenJYe/1Oh4J0PpECtUT5Fm4xrz77Esy+/uv69jzEo+v0BxuRSIdV7vvC5L/DVL/3qE7/TwItIJ84XM9I8E40PY/BOCM7T6ZTlckmqAxk1VIwOzr8IBCZSZdlaS5pljQUaEabW+m0znxpvGzHmJNQi2jDGGBEZszXUTrg32pCnGVmSYnRCr9ejLMtG0r9rLMW5FpGe+PtHtTxJOa5rkixm8fyc6sed5sN9pYnhxs2b3LhxnUF/+Dj75tGmhLeRGP1ESzvLM44nE77/gx9y4cJlilLUO7XReJNiTKjQrWL4sJuKG71z4YPl+ZBlUVG5gH5g8MpgTE6WGypXkWR9Xnj2WZZHJ8wOjrl6/gpeJ3x47w6Txawhw0WjZo38FjegiCyd7rDHd0b7sc4xopdlQskM/OojnBLfEWMU1FMBRbHir777bWrlSQcZ+5MjXFWQuZrMW1Bw4dJ5vILZcs7B/T2ccnjrgiy74fqdm+AV/eGAoixYLJZsbW0y2trEOUfayynKFQ93H1DXtpkTJkm4e++eCAXWNYNBD93vs5gvSNOcslhSFEuOjo7QKgOEt6a1Yntnh36eUxRzvK0pi4rKlsyWM1ZlJdkhJmXLew5nU1ZetJ7KsmCU92FeoEtHCmiVcOveA4rVnEGvh9IJRVWDka06MSmDwYDJdEZkG6RJSmYSymLVVJJX+MaZiskSCo/X4qTZ0kroIIo4etHM8s2cDeFpH/hjSomiNNFOaazyta06avJ0jZgmzHKK4L5u/8T54BsHxPnHj6IzbaF4hGbNa99sMa0IR8lbnYzy9sX4HbU24pvXVQOj+XVUKBKMmy+dRfI9hXh9zOY79xKPcRrM6PJFW7Rn/czRCWoNnY8XNont0c+tG80x7F3VFVVdgY9JM7L+eVPiZwsBDoJOgla7Uixayz5skoQskzJESSpRBpMmUnIo7wWNJEWvl6OPDN5WzXh87H14ERMt65ralngfQtYdB/x0qIoQHlaNonK7T7f9FhCYaEf4dvyJ89Fej/NIksqp8dNGw0TCxHuROtHaN3SSJ7Unm0TOobzHIGUTKuckjCduE0aljVX182YFRXXYqL1gQpnqj3ucCrCJCBQNxiNUorFF3aA8k8mEc1vbJMbggiw+iQis6SShXi7loXkvda+chLqcO0USiw81TI5YSyuex1rVIdJKHFXpCHJLhVgJU8kmEy3iGNYyxlDR8nm6Yo/OfrTBs6pKHhzuY4FlseLBg/t4//mf+3nEliSatJdxeHzEu++/z7jXp11gn9zSPMMkSZP+nPMowgOwvb3DYDTiS699EedNQGEcymicsngVq7HIptDL8gYZREnWgVaeNNeMtjZIypSjkxXWrhDisqKqK3bObbEsF5hU8eqrr3D3gw9Z7O+zMehj0fS0YW5bTyV6+xLybPy67rLevBrb2sbQtMf3vQ9h1Ml8hgl8hkda2FCihEPD9Qn/lJKw7uc//wX6G0OO5hNGGyPRyVguuLyxwXtvvsXm1gYmTxhvbTDcGJJkgkRUpcVaqGvhAhwfH/Hhh9fJ8jm//Tu/zcnxSRBxrNne3iBNExaLJb1ej8SkWAf37z0gTVN+8pM3uHT5El/58muhgF+NdY40lUKszilWq4LXv/c6tq757d/5Hby3VHXBbDJhMV3yp3/yr/jMr3yKK5ee5s6tB/zghz/iua0NLjx9ladffZnCWY4OD5nvHTEyGc9euoKramy9Iks9199/l5s3bvKrv/5rJFnG1vYOeJGQmEwmzJcF0+mU99/7gE988hOMBkPObW5JSLiqWBayFsyXc4YjQZIBPnz/A46PDrl8+RKDIEOR5TmrxZK7t+9y+fJl8jTHGAn3AehEScHELOf4+Ji9vV3SVDgUVVGR5bmsSd5R1RWrspDkirBGOOcxiaE3HFGVJVVZYa1I6MfkhLKuw/lkEzmdoWqMQRsdRFgJ4bN2vDbjvGu0aIK6fDSuBOFyYVM2XuacwgceW0cAMRhMTeQwGD+6yxmJxhkRCeoYMw2ScgogaK/4MetZ++F1oKtFjE6/H2VW2rkW96HucVXspPaniuKT7WfiJfkzpUBi6SDNWen+0h86gmOP3A8QiMMa6zx406hVO+vAiUirdhVFXaCDEr3WGpPKHvLg4UOMMeR5RhqKKMd1xXtLliVnOrPeQ23lOXnnUU6hXTCqG9XGkFnXLInyBENBm3ag+ZglFw2W8J7qJhF0stJiVXoFXkm/OixR2sD5znqtQSvXhszcR0uyPNngCQeXIl0dK1gJkVirtPVeft4WJ0mw1qqfo9K3R2zgYdrHo0SifjhktlqRphnOO6bTKRd2ztEfjNBlSa/fo9frcXBwgMkSirII2jVQrURATztPXVasViJhH/k3eOHGaKWa6tjOtRalNjK4a2tbRd5gzRptxCsPfdjl6TThigbiDEuC900m2JO7UDHsD/jEiy/z/Td/Qq3gYHfvrFXjYzdjNDpN8EYzX67YGAywNtZPeeLF0EtDNtsTFKIBsjSjPxhw8cIFnNPM5qvGK3aq9TBNWGy0DmOlEzeutWLhFMol5BvX2N7ss/v2T0nsEpDF4N6DBxjjqeuS//wf/mfk3pHWlp+czEl0htUJWdBu8VrgW6UUygnMGqvQN4Oguf8OCB9X+dAHH6e5kOngvMaR8KjR4wXG9S5gOsFQohlWaK3p5T3m0wUnx8eAZzmb4pYL0tIynS/Z3T+gqAvyYZ8rT19hOJLK4KtVyXyxYLFYNfN7sVyxWK549933qSqRWDg42KfXyxmPx1LJ23uSJEUrw3y+JE1Tjk8mLFcFKM1iPme5XErB1kGf1aqgWK0oy4rDw0MAvvWtb+O8xVkhOddljUo0B8eHrErL/Xu76ETzcPchQ2dZvfc+RV1TVzXTvSM+9dLLFNYzmUwoijmuLshHmzzz4ktMlwWJg/p4SpYkLBcLTiZThuMxelnQH40oa0tlHSbNgmFQkvRyVuWS3saYy1cu471nPN5gUZZsnj/HZz/7WeaLBYdHR1w4d47VfMlyWfHpz3yeixcuYa3l+OiQ8XiDrJeR5jnWO8qy5E//9E+l6KPWeLfkb/7Wb9Hr98nznIcPH/L1r3+d1774FTY2NtjY2ACtKW1NWVU8eHAfgB/96Ee8+qlPY7RhMBiSpFkjieFc3awVWZ5hreX27dtMJxM2N9skh6qqmC/mzGYz0iwTxMBLIoZzkvnT/O09OhRXhUp0i5wlUwqsEyVw7QOKJU6rUwa8CRwo5H3lQYmAqrMWpbSQ1FUXQe2Men8606c1dk577k0Ymrjctb83GWC02jPi3J4+pVq/lnjWuIv7FqFrTu9Dwr06fV6/dp1d9Oj058Kp6bzcnrfJWIpNyMeETd8Hi7LhRIVrc+hQU001UQLnAs2hqrBeqqhHpEspz3A04MzmRZyz6TOnG16WhAA1UgurBQLaq+32ZvxdNdZwg/h00JhuiFh73ag4R9TSGw9xvzR67f7wAhx469ZU+h/XnqzDEzJgzqojpI0izfJfZm8VD8LJhuY6gkHrY75rjbfe9hrlT4FJk3BdBhwhrFVQFhalEzwGhwGVhOsOKIsnEFKD/kAIOTUwpyd42qKkTAedEX0e2Yi11hI+SzpcgLBJioihajbEtXpfnYEbDZzII3IfQ6lahc/LYjigKIpf1ARFITCiChB5I1j1MXjQChEtlEmmmE3n9PJ8Tbsjts3xBvPZnG/+1Xd57tqzXLp0mSTyLOLB4nGVCiq7vlmcLIqahMT0yUYX+dW/+btcuvoi/+H/6//J4e0fYXyC1kkE9Uisx9aW7c1NdjbGPLh7nzRNSFTCznBM2u9jtQKtBLFUnr29XYpiFa7ijB5V6y9/XDyt4YYpIeJ1OQKPfDZ6UGuvgXeOqlrx+re/TeUcJIr7t4UIrV3N/u37BL1GMSinS9568/1mLDYIpoJYMkEbqUX3ztvvSPjJGLyDyfGKh/ePSJJEwrXx+r3DOkeSGBazOT/98c+wtcNrUa2xVhbvJI1VsgHnuf7Bh0EQTTgI4EnSIR9+eEucB28wJuP45ITdo2OsV1KfCki04Zu7u2KQ1laEJn3FqJ/Ty3Jm80XcIsUwtBatQyZJqOc0+2CKt47XQ7FgHdARk2aShOqFFD7oDxgOh/QHA/7JP/sjyrIgNVKuZjQcc+HcBX78xpssF99rZDWMEecm6+UkqfTzZDpFeUHIvbO88ZOfsrWzjQ8I1IsvvcSqLKmOjjg4OmI0HuO15v6D+wyHgiqdO3+BxbIkz3O2ByPhRWZ9TL7CuZqdLOf8ufPCEUwSilXJzs55PvfZzwISkq/rmpPjE3721pt8/vOfZ3v7XBBOLcgyCbmLk2e5fv0Gq7Li3r37jIdjcpOwmpzw0jNPc25zA+UUZVEynU+5efcuFkM+GJP2etQeKlsxmR6jEyVieL2cXq8nWmqTufjR7ZPqzIvHz5nTnnvMAFt/LYzpU8f6qDDHI+fr/L+1TJq/AnBxir9yxvW1541zpr3mMy5//SRd/yqgVWtICMHZisfxXvhJa98RxymGzhoh6/AJrfQj1935pux7XjKlrXU4XwU0K6a3h3IT8a/H9nMwdoJSeovmdfb87jMO99Rk77m2r7zzoGN5J1lHnWs5th/VPpbBE9OlfaDWS3ZRglHmDDj/4zelpQ5IZS1lJZlWha3wKCye2jmKuma5WrI9GLGV99rvAqWvMEiWkycYFloWWFs7lsuKZ158if5wKPo6SrO5fY66W4JBIVo83uM7g0GQnCBIGGOoSgmKEwtnhg/H/kHFNLp4bHVq4J/RB50HFQ2ppn3MeVpVIuI3HAw6iMQv1oxSJGnSoHrAI4ZXNBYjuTtmqIFUvi2s5b/4/X9MlqeMRkP+7u/8DufOnw/IsBKI33vef+99rr97nb/3d/421y5uPLIIxCUxemnt62L41NZyeHjE7u4+vY0r1GH+idiWVMi+dOEclBX9JOV/+j/5t9nbe8h/+P/+D/j8l17j+RdeoR8MnspZScGUG+ZHP/wB3/7Wt6TCdrsstxfYYOThok4ttE+CVpuvxBXoY7Zo6HsfsgldTWYMQt4OIYOIOMWFURkSlQbRxrDw6LhIexoQOkDNOpY/qEFh0CHM4WuP9ilNXRzl0NqD9WiECK61IFKgSIySFFLrUTqUnFEqoFaKNDEopQNKinim1GHDsiivSJWWAqlKPFWDx7jAK8wMDosmpQwilo03HcaLTkI2XHw2DZzu0YnuePBGskSjcKFyLBczimKBOlQB2dXgKpQyLKYTbs3mch0hfI0CbTVeQVmviEah976TVOC59+Aedx/cAyBLJQFjUazCOmuFFxjSjFFK6rwZw8MHuyit+fFPfoL1HqUMJknx3tHvhWK4RjMaDIQflmV8+9uvC/KTZQ3H8OKlp9jdP+Tm7XvgJes1TRPyXp8sy0mzBGUyyrqgcmDSjKKQjNrReIPReJPUpOJQ7O2SPNwnS3O2di6QZBnLlfCxBv0hv/EbX0EncHR8wGw2Z3Nzi+9/74eNQaG8bjY/mVJnr5VnITyPa100pWMNfKzvNsc4dU1rU7nJTHr0mtbQnc5x4piM+4kcZ92Xb4/ffaN77c1q2MzzyIlRjlDiSeaznEejcOBNg8L4wImJmNbjDITSCRLjQrFQ550o10dnx9XEAJZqLy0gVvH+OuukojlnczenjJ2m35SQpRXigCpUJ9tM9iLlW826wET42GPkIw2eSFRURhRxrXUoDAoR8KvK8iNP0u2I9bROgaWqumK+XDKrSt68fZ2s12Nja5tlIXD4cr5gOBg+ckwLFER9HNWI/RkjhMLKekabO9QKUWy2NSQpVSlVjVFS2NN53xYrC6hLjHdKKnrWhpug0WjpTgznRPHYN7nRsjnFsFf3UUTUovt3l8PTEOo+5kQ9nk9ZlQUWH9LSf3GLRyGWfzRoTCieenr/vr/7kG9957sslkteeeklvvrlLzfhOp0kFEXBrVu3UBq+8uUvc+78eQhX5pyTDS3JcKXF2yhXLun+PnBb4l2kedbUVnHRU/AWVy+ZHu/yz//w90h6f8pycUJuKpStUVhcXbK/u0sKLI3mRz/8IUWxoHIVP3nrTd69eRNtMnr9AbP5gul83hi/tqzQOgmbZHS3uguQWqtm/USP7YwWR8jP2ySxQ67HeY+2HqNABz4aDTk/LGphZVUu1DFTujHatQ7GXOBjeOdwLhj6eAjEXBXvW0MUgHMxBO0kO8OFz3mVNGu2ioaqE+K1FPcNhpVuEVRUex1xEfXUKKcwGoyS+LzxhgSD0okQsPGCsHqRDfDt1MOrAPGHTS+KtxL7Kbi6cX80SoX+8AE1BedqjA5ata4OqtoQM1+8UlLHRwU1Wx+NuuZBhWFrW3i+U7akqBxlXYbUWhU4GsJBi6OktjXK2saL10oFGQuPt2LkLZeLRpphMZ+RBOdD+NNxU5OEC2VUkwGqlUIrcZBc0EETnTFxHJ13HBzuo50nN5of/vQn1FWJJiFNMzyCBCdeUR8e4APfxLkary3Xb9wgyRTXb3zI9vY2q6JiWRaSrEG7WbXzwYdwb2e8Aw0j8mOGjOPjbdfsFonptu5m/cgxHnmlDWN1AIfmurrHjz5nNL58Z8w0CA++PUi3uRbJ7tT1aI4tCEs0ZhTCERKtmtN34BwoHVk1IcTmacJhg5BxfLpVVYjqOCuRjSAZI/QdJWUdsPEuzmyqe5/RCQFiuZUW6fJrP2MgJBo6BG5S2z8QCf0qzC9ZQtqw2JPakzk8oXKpyRTUlto7VN12vLOOqvoYBo9zzMoV47y//roXY8M6x6IoWNWW6WJFYh2D8Qbz5YrVssBoQ56k8h06W45SWLQoI2tDWVX4PCdNU2wtyIcH0AlOeazXolirE5RJ0UlCZSUEpIwI+WmtKYoikIeDsGCId8fV1BhDWZYhjmjXO1l1si8iIhfKP7T33T7kaOxEFcwYcqgqUR3+yL7F08tzTJpSVlVAXT7ya49vIU7qnWu1GuKer9p+397aprAlGDg4PBBDJ3jY1roWPvWKsqzaA3hPVVucC6Q9onEpqf5FWRMJkU6FRTpNcFrIxNrLRPSuBluh1ZKeSVDuGJUs0LYMGQWy6tSViN9Vq4Lf+4f/MThLr9/n+GCXYneXsvZYGQBoLWhhfBZxykoWXqwKLa995HM5A4Zf6+bucXz0UuR/T5qy3fdsVeEVgaAqr5lUEI/orGgv4RSNEnK4R7KRrKia9oIwoXMVVVXigSzLKCsp52KUbgylNJGsR6nanrNaLPDe08v7DIZD7j940GSTxEruSoUNNgwiow3j8ZjFYkVV1zjvSLL1rKks1ZRlTWISEhS2LNAoNsYDppMZOknleEGAEWSuQ+uw1LUNNfqConuwfYwxcv2u44B5WeBlznvwFmMSUXBWgUQZxq84yZEjosXTxofFOe6GZzsr4lt31gEnRpPX7abYGDtxJadd0D0eZVtiMVEixMs8U2GTl2cPYuWFjS44X/H6TDS8YkiGsNPgmjmsdGugFt5SemGKADJPY59UFoqSWKQT5bHUvPX2Wygj11TVhzh/iDYpbUir5afJvniaPBxtRy/d8RFzqhtm8tBmN3q/9l53Mp25ZXc/ouguXWefN/J4u5/xbd82VnVYD+NJmmKpZziUj70/4g7fWQv8qUjCaefLN7cbRy3Ke7L0Mdu/FyJ8REydq8WIDVbcerZe5xxxkq1DYqiY5BOeYeQhqVPPRz7eOh1CabKNUSlZ0qqRu5JMN7kXFCEp6Ml9+GSDp4HFVTPwRPpZoGutRZn3o5rDU5TlusHjoXaW2tfU3rEsZbGtnXjORV2xWK4oVgUb400I+hoyJbtN5PSVUuK1JFH1WEJx1lqUSWiXIOGkGC1kUe8k9hk9jLquOTk5YXNzE7wKmROu8VabCeV9UGauGk2fuNh02eKe9VRzOn93jwXBQGugOvWxODx42Ds6ZDadkhiDN/rsSfwxmyA8gQvlPWcv3awpTVdB26EoS6yzJEqMR7TGW8t7772PAl555WWUUpzMZlLzSRusF+hf/Di3Fh4EsF4KPFZKxCiNF/kFbRWpT0mUoWZFXS1JG70IEcjS8ZmlisuXL3H/xvv8+pe/yCdefoU/+bOvMT53mbQ/xvSGaC1huTSVTLO8l5FlGcNBH6U0f/av/iX37t7FGBXmtOe08FE0xuPC8uTnJkYBiia0ZUwIDWopzXC2sFIgTHvPF7/wBbI0IUsT7t+7x8OHD/nqV79K2supAkKXasP05ITvv/49PvWZT3PpqWts7Zzn7u07fOdbf8V4Y4vJ5IRL57Z59tlnUUa0P955910UimtXnyLv5/R6GcvFnOlkylNXr7L3cJfEJGzv7JD3+ty5e4fXvviaPEdt+OD6Dd55/wNe+9KXGI3GbIw3pTJ7WTKfTdk/2OP+fSki+tprX0TQDMc7b7/Le++9x9/+27/NoN/n5ocf8PwzT5MoxWyxZDafM18sefe995gtl3ziE59gMBC+Ta/X4zvf+Q6f+cxn2NnZIe/lfPjBh5w7d45r165x9949vvvd7/Jbf+Nvsrm52QiULpdLxsMRCk+xnONsRWIUH7z3Hg/v3284eZFMKQNAQtyqGarteHjcnDlrw1R0d8koDNdgao98WUIM0TZRjXffwP5RqRZQCOdQxTN58LSSETKEfTNWNfGkMh9jhW3vg1BdRAkaQ6m9yKig7AMShQYVHAcHVLVtHAkXy1FEe8C3TuBZKjw69Kh08xk7eaeLupGUj+LyPC4Ecvam2dkL/enXo8ZMt51K2z51Ph8NBC/p6Y0NodrsuZgaEY2cJtpyxqVJtl48r24+r3zIavWyZkehTWMMWZaduU55lMi8KAlpyZgTVF3eD1GEMLbWkDLVfqLtHZkTURcw7rUtP9G3RaPjd1rLUe7ZBzjHRcJ2uAQssfM/zn75kSGtuFHLoI+kYYNWgoB8nLjZWT6rx7OwS+ZuhVeaRcgCsc6ROHA2pH07YQ4JmtNWVAFRrAUlZQu8ZEklSRKuNyhEIg+6LErwYJ3Hi0uP0aYR95NzCWl5Pp/T6/WkknavJ9wao0M9Eo0L1dTXvAm9jlbEO1ZKeC1P2gG9F9XgJgwR+/xjIDwAz12+ysVz55ntHVI6+0sZPADaSGp5VVWBF3VqYw8esVaS+jqbLXi4v88HH16nKkr6I0lHV15SKN/+2VsUqyVXr11lNBwyn80B1SxQEf3y4fNt32mx6GOYBppJor0mQdMfDCitZ7ZYCOE0TMRoSDqFZOX0UlQCLz7/LJ//7Kf5wY9/youf/TRbF6+RpAOUTknSnJPJCatiRZolWFuzXC4w2jPe3MTfu9dM5IYzE1ytdiKv99PpptQa3X5tgjc11Th7uMQkDqVElDHPcy5eOM9sOuHChQtobZgvFqTW0hv0GY/HpCZhsVjw7HPPSsjGW5wtKVcLtLdQVWhb45YFs8MT0qzHijkb6YCyLHlw6y7aKFCOzQ0pc3L31m2WiyUb4w12H+5TOUeWGMxigeoNOZpOSbMBz7/wMkVpSYqaup7gMayWK27euEuWJaKVlGasVjXnL17g3oP7lLXjxZde5fz5SxwfH6NMj6LWLKqSew/2eOaZZxiMKyzwxptvsrNzjqqqyPMeoLh48RKbm1ukacZwMOKll14myzJ6vT7j0ZjLly5z9eo1huMRdS1laGxds72xxajfx9YFs8kJi8WUOzdvdRbzVtpSVjQPTpS+VYD6G/Ua75443x95rqiwj0eXzp/26tbGi4yt9ttx21EBcfIBlW1RoPilFl0QzZfOQIueewsbSImOqIxMLPDp8F7ziNvpZaN1ceeKa1fwykUzJWYcSemg7oRpUG9U5x7F+XP4xhQ83RntJbdoQVwkWsOB9efRvc8nLJU6bMoNUfgUQtQaJ93D+FM/Txs6kbMWn2HHFT8VKZAvqObvTiR2fXh5Bz5IE/jIKQvSHl4cKu1BuZbYrJQiTc4GK4rCS2jSVzgXogYuXovU2BIBQd+uSXIDDTK5NtRoKRq+0x+PEL1P31fnFY+cOoKrHkH95LxRDPaXDGlFrgp054ak+AmJqWqg5Ce2x1xD3usRIay6Fs/FOofFN7HkuradybA+PnUYzEm41uVyKZVkPRwfnWCtZufwkGwwZBVCUN46fF01hNtumnhZFE2oKm7qUg9IlpPYB6fTxROTNHWc2mvtTAxUo5EBtCmDnZBWNwZ5Oq75xK5VQqr0VrgJdV2vnevnbkqFyuGO+WKO8469g0Me7j7E1jWL5ZJ79+5x885tlkVJluXce3Cf/+v//d+jrkpeeenlIGEQPMOANNR1xXw2YzQckuVZ4FQIB2M+WzJfFHgCl6kJRUi4UkjOgYwnndsam84xHAxJsozp9ISqbgm4sQ+dc9y+d5/Kwz/5kz/hL77xTR7sHfHGjdvobJPaKjApeX/AyckJRVXhcWjl8b4OFYKlvIlkiMbnI/3VXYjCWX+e/W7dOXrCN+P4U17G+7e/9W1G4xFFsSTRmsFgxN2791lVJbWr6ff7aKBYLDi/vcXs5Ijr772NUTCfzsnRVEe75F6xWBW8/2AX65XoIIV6UrW1WBfqdBkV7lfmZ24SfnN1wn/34U2+Oj0gDXfyQdrn9849yx8+9RJvr6S+m/BFNM5aSW0PfJWqqnnzZ28yHA9FHTbPGQ6H/MEfvENRCkn4hz/6sWjjaHjznXfI0qRRLv/ud7/bzFdjDL1ejwf374vQaHhNa01VlgxHIy5evMgf/MEfsCxWSEVfyNMM7SA3CaNBD28rtrc2Qh0jjwkLajsChWejkE2ELn/A+7VH+MiY6CzIPgyiVt+lY4Go9c+2X1g/uLwk49OHjY9YsBYI5KrWW4hetoqE0+5asTaIG0NKhrcLppULIalHx2l09eI1SVcolGtDDUo5In7VojGtkeA6XJQGSVfxNtYwAJpp3oEY4vwIJ1vbeB/ty8e08J6LG2q426Y0aoh4xOfXOGjN18OOH42b7jthsfDheTTrGeuOUASQG/Qw/HMe8CaUQgnfiNcZPcgmrV6jvUa5MDY7aF6SiIL+Wbd+fLzClkLqiny/9RCdl4SEswyezvhtzBUf1mHfmDzhUh8dQ2KQybyMx1WxTxWBN9k+FdWgVnTef3z7WAiP0SboKgBYPA7rSvDVx1ra5RbWP6cU5HmPXq9PuaokNRzY2tqk9o5Brw/nDMPBiGG/h0Vsyy41SyMChE02Ucj42BiNUWi2trYZDgboPMcDxaoALw/RGNNwVCLfofszNlGIFfg6pmrHiZgmKUWx6AgPnrb2wzFs/Uixtq6VK4NRUVVVk1Ehx/low8XjOTo55vj4WMiAzST9xZqi5TnMFwvyfs7r3/8+3/zWN9jffcgLLz7Prdu3ODw+5u/+3b+L946s12NVrCiWqyYklWhDagyVc1y7epXf/d3fZTQaAQQUToZxYnRwDMQ7NYnB2xjyC2GDyKXCrBmDo/GIrZ3zTGYLue+zrHsfoFwHeMOkqijLJfNMo7zDr5YMR1tk+YCiriltHRRLNYo6FM2LkLUPXqoSn1PFJ9DxQqD57MclWf78T0hCsp/69CcZDEcslwv2dh9ycnzCl177CkVdsyqWjMZjytWS3Aip+fLFc7z71htsjIYU8zk9k6O94ujwBOtg5/wlkjRnOluEkhMlzz//PA7Ht775dabzKZeuXOLSxYt8Qiv+R//Vf8612QlHvQH/352n2E1yes7xG/Nj/vcP3uZ//fBd/o8XX+Yfbj/dbm4hDdwHzotJxPtcrgRJq+oVxyciB5BmUqBY5SnW2bCZaZT31EUpop46cFjCYl6XpawDoS6aiHrK/Do5OWZ/f1/KzgT4WxlNtSzQSrH0ipPjYzSWvd09lHIkOmAb0RFREInAogNnhdeiOpovHcPhtI1yOq4lIaCzJu3ZoYt1Um8wHBphwfi3XKfXwamKR2oQBdOkKrcYRUSozmgx7KykcMs6sbq9Fo9vqsS36IVotjSfig5apzp90y9KNcUhu801dxCutIuYqPUujWZAMCvk/49BFD6qRaOEYEc45dAIuhoefhMieiTUFe2DrnHmaftNPTIUGgc47gcf92qjEda65OECVGu0WRXSQJQkOQBnq/J7mMyXVKXHVQqsw2PxvhJhUyRpxKvIzO7cLz5GvRqDR3eJTQF9a8bGqTEkHw2Z4PH/DVoXvt81lPQZBs5HdNoTDR7voa6diJmgJE1MgseIoJRbk5t+XFNICubasZGNNU1SfCJeeE8rvvLCi1g8BYqdwZBkWwybSBPsMuTlOK30fpblTcr4cinS9pOTE3RWUFYV5UpqBmWJpG2iaOoHxbTNPM+leGWoe9XcQ2eyNOhMp0aPUhIiE90aFzZwua+qrDraJ6qp8r2G6gQ0Kcuyn29ierhx+zbFckmeZkLWtJaz+fcf3VQIjtq6YrlYopOMJOtRV5ZlIR63lLCoqeoakxhQIkhlfUVVF3jviKVQlPLkecrm5mZjGGZphtHiefhAsk5SQ1pJCYJWC0g0H5LEBA82zLBg+uf9HoPBgMOjY2aLxRoi2bkhlIdnrl3j3Q/e4e//G/8dfu23fpP/9B/9HpfPX2Wzv8P5c1fIchGx/PO/+Au+//3viXekHCoIbD1q2Idn3/Euf9H2cZ92M/W9lHd45ulnOZlM2Z8fsrN9AU3C7u4+Fy5e5umrz5BlqRh302OwBcVyTjGfcVIseP6ZZ7l07jzTyUxkHbSmNxxQVY75YiqhZW2Yz6akeconPvEKP/7Jj3BVycvVkv/Nn/5jau/5977823zn2gv86O13sFoqGv8Dr3lpNeV/9/B9/m8P32HoLP/hztNrnrdrbqgNlTQeqI/GfnCTnJVQtvfY2omERV1LQoUWInBE/JwT9CkSzJuwvEf0uLxvUOmYQRZTdr1SKCf12WRz8zhfow1CjjZhkw6LvdaBH4ESuD1uWKZ1yyQDrl0nmvMGdEIHJFutmR7Rk24NIR++H/CgxrOX9yTFu+U1BKPhTAXgU2POP/LLIyNONq/omyukxthZH293v2j8xIK7qvMRF+CLR69MQtCPXGs0AuJ1d07uPXT3za7LGflR0fn4uKntzXk7x+pcISIF09GwOR3qIqBttM5xk60Un3MDVKyPjS7q34QmVft6e8zA3YpjwKmAaioh1Sv5PeApYYzLZ51XVNZRlEV7GZ07XFaeunYiseNF3C9yeeKzjWa3EKA7D6PTX56WBkNzHXT66vTzCMZRk50mN981ySE6NwrnbCO2+HHX0CeHtBx4rNCgolieMbganA1aKPXHINYCo956hpaiQ/QlGBHWYZSiJqZ5SjXwTGlSrRqjR0EoXxry8sNncU7k2DNZ0GxtuX/3Hr3RGG0ShsMhSimyNKGoVs2EiIZJGWpclWVJmqbM5/Om1IPYe6oxruqg/hozIrTR6ERS6JwLRSfDca2zjXEUW5vl5airWmp/pWmTpSXhmrMn6GmP5XOf+jTv3bjOrQ8+oFosKYuC4eAxKpof0ZRCKtPryIo3kp6tDCbJqEMmTVGW4UF4tPFoAygRqnLeBiKeA62afu+G+yRFUoXsGEOahBCVdTilsCp4g15CDomKmWMO6x3KKKazKbPFisViFaT2HzcWPdPpFGNSDo8mzOYFickpqpqjcsLxyQJrhVh/cnK8ViokekqNOxMW2NaD7Cx0vh2f3efUfVaP73dN6/LGxb3DzlCGLnJQFhXf/Ma3WBYFVVWHtGrN3t4hH16/Rb/fC2N4wmo1RfuCZ5+6zHI6ZT6ZsLd3SJ7nFMsS77WI39UO67SQp7WM5Rt371BVJVvbm3itWS7m/Dt/+pes6pp/9+XXeH9WUf/sLdGE0bLAgeed/oh/65nP8O/feYv/w977/Cwf8K3hFk0PNSutO9WPsZ990xNNfzqPdzWVLfjs5z7HdDZnNBzy4ME9ksRQlDIulqsV/UGPolhJrb7a0s973Lpzl09+6lPMplOOT05wtibNspDJJ6jD1tYWxwdHElZHvOEkoK/aGUyiguI31EWNCun9oMiyNCQwgNKwmM/xTuFUMGy0wqikQYmUVyRphk7a9T32QNM/nddcp9TDeh/GMRnfC5hIdO8FAugMNtphHZt/FE/uclSaj8VTP7I0xTBFh9Xi1smo7alV2IxPefhAy8huO8Erv2bUxC6ISM6Z3P7ulamz598TsyhVNCSjjlNrpNKJBgjn7jRUAzRq6q2p2Fonzf+ae+wS3iGsHZHQHIwGBwHBj2nowqfyzTWG9clHlC+ieyHsE17DaVarFYtVFFZdb7NZzKJ1Yti4YOQ2txkHledR26Vzjx2DvFn743We7u/G4G8/K9lZ8TfWxnAch07RZA52zv7Y9mSDx7tGAEs8FSECy94inour/drNndUe62WEWCjOUdmaZV1z4+FDpq7mys45JssVN27dYXs05lefe5pcqYa07BGDx7qayiuSRBg9q9WK8WhMnudoo+n3B5w7dx6TpvR6PQktOYstFxCs5kjQnUwmlGXZiJgVRcF8PhfkQKkmbT2iNB5RS3VeFFsVQtCrvaP2FhvgZ2tdCOO0D7Mlg4vWRlVVzOdzhsNho4FTP6HcxnQ2YzwaBRgFFuWSRbEi9aEkw0c8k8c1DWSJZLCVtaQiOsQjEGG2drGLoTfweGejVA6nyWnOS5r9rdu3yQdDDo+OwXsi9bEoVhRFxXK5wnkrtDgPBkPigyJoWDwckq5uvWexmIsHoY1k2p1pIHq8MhxOFnif8K/++F/xV9/8DotlQVlbcIZeb4SzXgTdoNEeEuTAdyYzj2xCXSXk7ub8yFU0Htrp1oYoIoIVQ/ASOJPNKzE5ZV0ICuElO/Lpp59mNN5kNpfyEvfu3uGLX/wi440ttJZ6W/PlAu9XKAqeurjDzQ/fIzMJSieUVcWPfvgG29vn+MJnPhcKZ0b0IuFnP/sZi8WcL33+VxiPBvR7Ode+/Zdc++mS/9m1T/Fh0m/QkQbiD8xXhccpxf/2yqt8ZXnCv310h28NNzv9EyDxTk2dNi8ljiBH109QyoFy5EZz+eIF+r0ezzz7HF/60pdBJ0wmE44nRxyfHPHU1afY3t7AOcu7b79Ltaq4f+8en/7EJ/Dec+HCBW7eusVTV66EOWobRW9Q5HkPZ2vmkxNufPgu77//Lq889xz9fp9z584zHA6pakuv32O5WNLry9py795tkkSxWi3pDXqkRlLofZC+ns8XzOcLtsbb/Oynb0m2qLZBe0oQBNmoYnHSDs7QeO9x8/Dtys/6+GoRg7hPRCdJB5G6+LWznar2GGcYPe7UnIjPJ9yjELqJVkNTEyk6C3LZXTOoGRHBt+i+vr4JticD2Q0eOcz6tTYGxRnXrGhCe52XiNlQviGfx2t9FNly3p19jHAbrvMMW0Sofe2RCwrGj3fdTT6gGKpd11unt3X20TpkfEY/vjXYnCAIYsQ5h1fusfzbkxPJorX/f/b+LMiyJL3zw37ufpZ7b9yIyL32qt5XdDfQaCwzGGIWzGKkiTJtlEwyUUajSL2J0qukB5qNGc1kMolPNEmkZJKJ1IiUhqRmAM4MCGBm0CCW7kajG92N7uqq6qrKysqlco2MiLucxRc9fO5+zr1xIzOrgBmOJHpZZUTcexY/ftz9+3/b/7PrWC09vq8xskxGRDbB7IYCyMjCtIHm2ZjbAw6ItvSRHJHtRGVr7BZKR6FwKgyxPXrXuA7tqTE86aeLZlwRxvLASusxs/S5LWdQRYtObirFcAy8L8u+p7E9665jvVrjnOd0ucI6z2Sc2g2RW8RjVEFRCA9NUdYURcF63WC0xhSGtuswkZRwf38f14eNNPLVapU3uxSoPI7jSd8lV1RmGDaxam0ImeFZazMibEyTfJgEY8FnYmFRSYcucc7lSSim992Ax3nHuzfe4wuf/ZwUPoUcY+Cck1ilj4p4gKKQ4oar1SqPhQtWtEujCUoKyToChdYxcC1QGSEUM0pHP71sVK+//jpXr17hZLHg4OJl7j98iIqEj973/OhHP6BpG6698BLVZJKr2PvQk0yaSVtS+W8RDEZpXHBiJzgXbcCsnvLg8Qkfe+llXnn1Fd54+yd87NOfpqgmLBeNgBxtODk+5vo770S33OAVHy/s1J4EcJ6pjfa/pKWNv1QhgBZLg4oxThBQ2lOWmpdffoXOWo5PTqnrmldeeYX9/YNM0qmNYl/P0eWc6cygaJnM95nvzSmKCU3neP4TPVBQX7wm52jFpUuXOD5+zEtdx6OHj1CTPS5eexGtAr/y5vd5cHCR3z64Ku/B6JhuGoZdPv5UKtAZzX90+Dz/04c3eMW23Con+d1lF2VsJmcn+qjNqlwiQ0U4ZL2nb9f8+Pt/zNFiyeuv/5D9/QtYG/BK064XKBW4/8EH1JOCxekxCh0t0YFvfesbTOoJzz0vWWCPjx7RdR2z2Yz1Wqq9Hx5ewtpHrNZLLh7MZV8xhtVywaQqWS8X2K7nwoWLaK+wrWPvwh6Pj48gKI6PT7hz5ya//Bf/Oa5cuYLFE7QmePitf/iPAMW1q88LX1eazyPrJwTOy9WLu8rGOUkLzqAgnD12aH4gtwtPtnJsXIxBSIVwfuRmCtkYYodGP9PrjkDj7FXOiVoMyZE3uk+2eZztSR4HlYCi9EFtHSOW+22SE0YutB3XVyqfn37uUrQ2kuM25vkz7MvxHhIvijCaP+UcHxLb+ib8iCnOMqu8JBtppQgmhnNstRDg/v1HUQlf4ZyUk/A41Ch8xSfr93a3U2zchjUmnHmzY9fWEPCfrEZhmCeorESlx8ojGU3qOUtSKQn0fUJ7IuDR2kQSOrmF8IT0ufBl8GB7N5rc57dHx4+5eulSPk4pqGMRu8HoJy8tuB7bd1jb453Da0PrHLOyyFaB9Kp6awnGiEsjutxAYmKquqIsCjwBYzSnqxXzw4NIeCbPtF43VGW5AXLats3PmCxAKVsraR9932MKnYvtJW0ovefk/hsPS3KVgADH5C5LVdMTkFJKYXvLcrXcAEhp8VrnuHPvLq+8/DL7+/sYLfTze7MZy8VRTrX/qK0oC7x3tM2a4CwqePqmRREojcGUknXRdy2lrtAhUBtDUIZCaQqlsUDfdTjXcffeHV7/8Q9RuuDW7Tus25ZCBYKzmKh5nJw85qVXXkbrkEkDMWpg9N1q2RqiodQFXpkIEMcoQn4pS8NzV6/SnSz42pe+wsdefZWH9x7wuU99mivPv4D3GmfFqta2Lbdu3MD2fQY0Z3XR1InhVn+alkTdoK1vfrnBnh01urZt+L3f+106a2malrIsmFQ1N2/ejESJAry992AUQffMp5pLh/sYZbh//zGrznH52oucLlf8+O1fE+IuApcvX2a9XqGVzO8bt7/F3mRCOD3hf3HzHf6dqx8n1HXMvotrKXdbGINNTFEOwfOfHL7I/+zhDf7K4jH//oUXQYlbVAWxGBdai2IWLQcGA2HIInJCnCUA18BkWtIc3UdbD6bgdL2MmYlFnq8PHz4gaOFwUoUBZahLzaMHdwnArds3UWqo01ZVVQTrJb63GBTOW4pCURjPVGse3rrFw1u3I3dXIXuZkvpZpijQRmFKA9qxWJ3y67/+65JIUBYELUVq27ZjtrfH2++8I1kySrGZTqtI7iU10qqz1jua1xspHOn0beNIAhqj48RFNChkT6pBFLZ+OS8xA5LlZlO5S13zG8dF+85OsLXryiPXyfBJtgiOz0wWwvH9pW0+4wBCzjcPpfij8VilwshqBHx2wbTt/g4xa7vVJAXoZLmL8TkhSLfDxnvU0VWpMkcSBNJLTpw9yYoURu8tdcmGQGcdjT27twbgZLFA2OwtBAkjkAzAKHlDeqJtECPr/SyIPjs+KgLFPENUgsUu27xVeh5U5iqTH0pOya9PlMWnYneeAniqqqaqKtbrtVgiSkPhDL0SemvvNOtli3cxhuMJbTNQKy20uClH11nvRbPxfY/rO4rSSFq/C1ilSAY4P/q/6S2qnKKLiulsTqk0Bs2kmkgWB5E0SxsW6zXWh8iwbHOcho0urAQ6uq7Lda2UGpWs0EOgmgQ2D7W9kuXH9lZiTFJpBK1xkYwwWYgSk3Idqb1dzBqzkd9HqleveOPHb/Dx1z7G6ekpi8VC+CjKgodHR9y8c5vrv/Y+L7zyMp/65Kd48PABVV3zYL1mebp4+pt/QisLQ/COrm3omkZ+7zpxpWhNXWgqo+nWKyaFFEWc1DUi7HS0XHms7ej7Fq2liKSJm753hdSucg6loSgU3rUE5WIMQNzIfDiT3ZaaQlGaiqqeUk3mmGrKgwf3adtOJv5I63Lec/vOHZzr+b3f/12++90Z9x8fcedXfxVVVChV0LUD6aPd2AgGSbJlTf2n1sLIgpIU0gA8/9LzXL58hZOTE/n/6JgvfvGL9H2H1ob9/blYMJs1ugxMKs2nPvYaq9Wao+MFx4sVp6uOq8+9yJ079zg+OeWTn/g4s9mEupbCnm3bURQFq+WS1Y9+AMDy6osESoLSvPLaa1y+coV1s458K56b799Ea821q9cIIXBQ1/DON/jCc9f48ue+yv0H97h7/wMO5/toFXj86CGFVsz35uxVE1TveP7aVQ4O5ygdeP/Obd69/T5Gw0995fNc3T+kX63A9QRT4rVCm4KSgCpqVst1Zvs+Xi15/+5dQlESCCxWS+F1UjrGV0yZz/dZnJ5C7zB9oCoNe3UVLb49zvaSOViUTGcz1us1Whc4L9EULgRUYSgmJatmiTLw2quvUBSG23fuUJQlAYNDYYoaITtsheRSFyijRkqNghCteePsrRQoPCpNMc583XarpLatiA6cP9tz7KzbKLlQcgbSU+a8z6A9XVT+CXEOp66EQCx5cLavu9KKk1t988OBkHB0gcTdzHBnaZKhFMd47Bo575kSKGPz0PEYhRAix9+uPkcSg42vwtbPod9yzghY7bAEBSJQGLoYrTox/i+S8w6cRSGZUmJQvmAW7wO272i8x7KZFASSxSwldnwmcQ3BMZSU2G0ZDGHgU8uPFudOGL2XYQiG/NZUciWkJIbReVI7S5SkjPjj2lBp3HbjyDPtiYCnrmuOj0/oupbJZBK1LXAuiEvCwvKkxfaOonoy4tlG8xKXUKC1Ee3aWkkXD+C6Dmd7Cl1CgLbv6H0giaGN8FSlci2aqqqgFyBTmhKFBAUr76BQQrmvApNJzSJCwiJW+E7utrHrKgVqexfrPcXsK6003rpYcwqIwbfW9nS9xABVZU3i5Ump7WkiJGBVlqUALS2adB9LQyTQ9aPXX2cymfDOO+9w/8EDirrik5/9dA52fnR0xOtvvcmv/8PfYm865cr+oaTXNs2O5fLsbT6bYlSgaxuctcLgHMSlRJAslkIpbNvhJhYVoCjKyEgtxySTsM+LJtnwEkuzkmrXzgl49lY2MJ8I3tIusGMuBSBo5nuHlJMLWDXltIN12MfpjsCSXIk8SPrlwvUY5TleHrNoFziv6dYNXvVYC1Vdo7WhXTeURRHnQBALlEra63j+fjTMsylUhkU7OmL0tYgrSZH35Do4QebLT33xi/TWsVwuuXTxIpcvXuJTn/wkTdNI6rVz9LZnbufsX9hD06OLgv2DA1589WMcnSxoWk/fe6aTOffuPuAzn/4se3tTilJTTyrev3kTULz82mvcXizhO/Dq8y/w0vw53nn7J3z1qz/HpStXhJaga2U9BmEg/7lf/EWM1hwqBX8bLrzwMgcXLvPqxz7OO+/+hP29OZO64L2f/IT7t2/z2U9+mkv7Bzx+8JCXnn+ew4sHHBzuUU4rnPHcuHGdF198kcvTPZ67fJmvfOnLPDo+5fr1d1k3AvI755lOZlR1zcnpAq8NV65f58adO+wf7PPTX/0ZrHd0zlPUFUePH/OjH76OxtMtG/YnBX/tL/wFruzv0XctnZXYuscnx0ynU/YPL3Dr1i32Dw7RpsT5wINHD1l0DeXelP3DfYIO7B/MefXVl/k7f/fv0nY9XhlcEK1d3qGKySjbQa96MOnngJdhLUjp1V2IZetvBUNV6zSd1GDhCaPPOPv7cJmB6yV7K+Pf4/smULNtc8kgRo3SwyGX1TjzEDsBz26QdgYyhQT8zl7Dh8Fin5Xv83zgKpDK28j9Y7+z9T6OhSJX7z7bZ+nQjsdJNxn+TXtLpO0eMK68e5VcN6Mnk/1dJT7n+J2U/ggRHuogHU3AOESuuFTf0RtDG683VKqM5K8x3MN7L3fJNSIzlNrxzLve3QBizgzQGTCoMnAfu7uSYUL5QBpsleMG0/s8G2u2qz0R8Bw9Oma9XlOUBc4K9btCx/p7FrBY2+D7Z3ChbA+GgqIqcuZTjiL3nuAkvbQspfRA46T8BICNQ5MevYh+/qIQa07fOYKXAFZvHUZLIPHD+3clY2W1gMIQiZFzLa/CiGk6pxGGgRNhyDAScKIA11sKZXBtj+tF6Ks4kWzbMa2mUkEaNQQ9jwgG+77PpmRTFJQhsFgs6Puesix54YUX6Lou1/iZTib0wXHh8FDI4JyjrirqouT0/gP6x6fs64rW9izWy6e/jye0g/09ikI2Wx8c02mNUh7ve3zwaF1gvTAYCwGnAEOJQRIXQYppSovXeRfLVaSgywSALD7Ec7ueWlcoNMZEU3+QmCAVnZmyWXpQBudLcFNe/uRX+ORPfZXf/Ie/yfW3vok4GwatgXiOc5af+fIX+cU/94v82t/7dT756c9x9fmXCGgO9g8xpmC9aui7jq7r+PVf//v0bZOm6xkLT/77GZHlduBy3ngRK5+K1YEl7TJkwkNCiAGhPrs5urbj67/9dZpW3K1Ga+qq4sev/zizNTvr0FpRlJqq1vS24fnnn2Nvb473ijv3HtBZz3rVsj+/QFVN+O3f/odYJzQK9aSmtz19UiKAY1Ny6Xvf5P7nf4mgNL//B9+kd1ayvGKFwYODfbz3/L9/9T8jeM9fPr4LwH9+4zZ/dOwiSaZYTGfTWjIzdcWPfvIutVb4rufG7Vt426MLhS8NqtAESt69cZsPipI7Dx7zmS9/le+99Q6vv/HjnLSA0hRlKazT6waH4q233+Ho5JiD5Zr1H34bXRTYEJjMppycnHL9xk0+8drHuH/7NhrD/dMTmrbh4GCPHlh5Tx/rrB0tl+jpDKoKG6DrHeV0j75tePjBfV589VV+/MaPuNxf4jOf+SzGlGgTydT8kFWkUdFdcTaWJQllmStCuJgyP9Uu6bp17uiPjcmp8oIcXO8qovn8d44pGs35GIeYq3MDCZiNnBKEHW6O1I88t8MAas7AnXCeyAqbppb86Y5YIr/7Gunem5awdP5ojNK/ajdYERElylyi4lIx1Ce7l8I5+aJhbMVJY01GUiliyBPiHrmjNlQ6Z9RfiWVJ/GDjeCUV7ymElFLsVuGCi3LV0wWhApilMULKgFhrI/t/rFsYYgHcMHpg1E6QI3FcwwtLPR7ZpiJ2SkBu9JAh/8MAZpIlR77L8jjW5jkfgp1tTwQ8q9WKqqqYTqcS5Cv7Gc56wKFVCyyxfQNMn3SpMxNTK83edBrTmOUlFdpIQJ1zeOuo5qUEHS9XdCHQMYDphHY722O08Oo463HW5kmSwEJVV1y/cZ0Lly5SGLHrmRhfE7zPftkkqFNaePoMQBuDckNAVojWDNv2Qs7kPMF6XCd8P9VFiTdSPuSijOO2XC4j94+UcRiX6djf32c2m+XU9USSuFwsaZZr2fxDYFpPqIuS/nQpVrLLwmorQcsfvU1nE+q6xvcd1jVMJxO0CYTQY30r8QhKs+o6LmkjG3cu4ih2OBOtd2m8nHOUhSxklYv2iOALXhaWtS0zNY/ak8qHFNpglKb3IWaYxDpmDrxVXL72Ctde+CT7F37IuoW9UKCjPTCxluiYVrlYLHjjx1LqomkbVqsVRVnx/vvvM5vNePnlV1kv1ywWH0SrXOrrZkua2Uc2o8UmWlyyAhaE6M4QpS4MZt0xSFSAVsz393nu+X0WixW263n48AFXr16hqip62zGb7TGf71HVBk/Lyekx09mUCxcuYV3ATCum0xk//OHrPHr0QbQIiCYQALvoNza0DvhPrrzGv3z3bWbHj1iWNXcf3Iu9EjcRCpoHj6J1UwTgf+vmG9wran612MM26yg15LqL9ToOqMa2liLyHp3aLmZlCE2BAIUpb934ILJr3+MXH694/eYH/N6fvEFZGCR6L1pmlRZQbq3AalVw79EJ9x4dE7TY/1IcnzGG6+/fpkD2k9/99neptI4gKj3H4GZQsdK7UlJix4WA14reWX7n934fgmc23+ePvvM9us5JikyIsReMNPUIds46dyCViEgbfUrjTsHbO5saAI8obdtfb6f3qkHgqBTEG3uXhUlCOCrXyVJBnkeNgFIIyTK7JeqjJj4Q83nOSvF06DlcOWesoOmeuwdhF0uQimnlPlEDj45O63uD7ydsWiwGnidQSqhIlBfwqpIPaSQzdnYtQJJgY4U64pIMWOSAAb54kGKvSp335mW9MQKVZEgiQnvLQuO8p+ktHcRsYp3pNnrrB2oV7yTWLmIdAYxenj1AIuFMD6jU8F7SPq6VjL8ox36wYCZAdgbCjQFQQuJngb5YSz8M3HkK4Em1pACcs3ivaZqW1XqNBsqiRBcW94T06dTOYH+lqGLNJrGyOLy1FEpLwU7nKXVBYUqcdXReAI+J/yskILtXYBUxNVlefELOfd/jrSV4x7Wrl5nN58L5osAXhVglvKdENj3J+x/cWmnyp9gap6P/Mk6qwhTUVSVp0yHgrMXHYqNFKgSp2CyPEUKO4UkWHnGdDSZEYwx9L2U7uq7j+PiYO7dvs24ajh4+Yv9wH4OS4pttR6UlrgrvqYoS+yzlPp7QDg8vUE9qFs2Sdr1mNpnkjCVnLYpAXRm87cUK14v265QiRAEh1cXNaPIPoekq82pE9B4Q8Nj1lFWBtXFRKUPQQ/kPCZ6TIHrnxJXjGs1/8Tu/wY3b93jv7R9ilEWSuQ2BxM4rm0thSt55+zo/eestdFFx9IffxjqN80oAQFEwnczo+46ua9BK5rjYW4TjqdAmktqpvHF+GMxzJk4CJNsxAKrAB4P3Om8cGxkeKmIAIzErP/cLP0fbWd55611CgL29Pb7whc9T1zW379xiUk948aUXePPtH/Gj13/Mz/3Cz2OMoWlaTk5Pefvtn/C1n/0ae9MJJ0encYP1srnk6NjN/v6HV17jX737E/6N26/zv3z5SyNhlPz38l6TaP+FxSP+8ul9/p1rn8IrLSmxkMcuA0olsTBDlpIG7UW45ngsRdM7CIrV41P+d//O/55l07O2kr1lsrAdtN00fo6QLR6K6FJlyMITJU4Y4bUpaFES7xcSIBjetLiiEugJhFh82BRFJhW+8d5Nbt28KXwmqohxgAkhj4KSZRR2bthjl08614/6cfYENoj7Buay+HXeG0P+WKlUeylIZXPSvIvAVyV39DB3x7r7cOuApImfDaRO/FHS9fMtVGrzn40H22lt2TE/UWfXGJADW1TYhJebRw6WrdRSIkuyzg+EsWkOBJzffbWzTZ05RvqqY8xMyCBHbRwe95ms/IxBrfCZpef2wWEiH1YqeutTOMEGaJFnckgRb6+FzcZ7aBs3uoeLYCqM9nAVYytj6n56uq2xV0ptPUIYrUn1TCglZWjtfKdbo/ks+/BT09Kbpsn8NHU9JQToOotR4i7q+2cnH9ywtiJcIqvVGhd5aNarFaaqUGVJryQivuk6nPes245+fw/FsKQcoIy8tLKuCCicD5KxFQLOW6y3lEjGlo7BtERkrWPsTPo9FclM8TQJnKT4IGcls6qspGrQfD7nypUrGGPELRW5frTWTKYTyrIip9zHlPOU9r5er7MlaZzqnkDParVitVqxWCxomkYmp7X0bYvvhP+kb1qC9SgXKJDK5BqwXc84k+/Dtv3DObqQzCWcj5mNIabgQ1lomTjWUihidkvSjkJeJGVZDAvRD8IoRC0rwYUQwLtAH611PhIYoqTYq5hQY8aRFsDkXIsPK7z3PH605uG3buF9y7Ts8V64etIiUwBeANN8b84Xv/g5/uT1H1OWU65de4mimmJ9wNqANiWd7agqw6WLF7Axrur+gwfs7885OX7MrZs3Y428kU4Wnj7cZ1mZhyBN58RVOFhZ0kmSkp60Vk8srWAd/+i3v06zblFB5r1Ripu3b0EA63omkxr9XY0PPctVx9e//nuZAFNrQ9+2fP+732e1XKOzLhkDBEmBqptC5f3JjP/Tc5/gX7/7Dsem4H/7wmfx0SUtPvbh2K8ujvj33vs279Z7/PuXX6X0NoqocNaqEcdPjz5PkQljnS9bXFEcHx2BMhQKCNtFCUbXD5vFJ0MIAloQYsvke03vwgOZtC1bGkfXi4zQWgeEGygBxISpDN56gpNN3zNotRtZTHF4/cYn8Te1ZSsJiXiQZ2oijDcBDyTwpjc+9kg83ab9QEtoQBZQ+QKI02UIY0huB62SKpqHaSgmebaHA+gaHnFTSOQbKHYGZe+MOYLddpD4DjwZwI0pQ9K81KOxEbm8XRSJQWDHY7YDrQfX4a4WdvQ7DFZt9Gi84vyKsahS4mi4/+AVGFL/034qylFKU4+fp9+9xFGWRSnWSe8jT1QEPG0MHAlRAYpKbApgJgRUnIgbLNdqMGsksEMYjgkh7fshDu6YkXy3gnW2hMnWWI7G/hnw09OytCq01lRVzd7enLqe4VygqhqKYoZmRm83Ud65LZm6Rv2vqpK2bej6Hu81q9VKYlW8p7GW3jkWywWBQG8tKelYIVYeC6AUbfCUk5q261g1a1LtGx9fWAgeZXTUXj2oQiytkZytNEZqWMVq1SkeJRHrGWNQRrMKyxzQ3KwblsslDx8+5OBwHxUkq206nVEUBXuzPSaTE4wRIOJ6ifWxXU/f9VhrczZY13XRFTdkiq1Wqwy6xrEfKQDa9T3Be6aT6H6KgMkUBe262V2e51maUszqirIuSNwwCQj6SC1elyVaKdp1k013KWYnXgLvwyiuh+i2UxuiToSBNO89tosulKwZhMj3QNaABkuZhdCjg2JagAsNwQR66+hU5OwZaaRC0674whe/yF/5q3+Jxbrhc5/9Ip/65OexMc1YFxVNL5YGUyqm05q6qgg+cOvWTYpCszg54f/+H/z7efPwo+31yUtzl+AYOSeSIE8sz3HjCgGJA1Gy+JN7Q6uCRw9PIoNvFOIMGikq0HQNoY/xH8Hk8gco8M6hVMHJyXK0B49AD0m72pRWAfi3X/oM+67nf3LvXf7iyX3+1tVX+bXDF2m0jNXPLx/x33/0Hn/1+C43qyn/+sd/hkVpYpkORu6P8bwbjVP8U4exNUEOShu4xHgFkhWP+I5Fpg0d1oxAxmhuEVJ2ioC1lLiT3DTZVUMSxJt9TRq4HmGHJGwTUNqOnz3HjpMPyvFm8bm3d1W/0+Vz3qxLPDujO2VBac4IXQWb6evBAclCG0ZHiYXAKUd+OyEJ2lHG0OjRhgKeg2VryEpLwPKcxxg6f/a5z5yWYoW2BE2+z2YMHZBdMmle5mfMF08CPIzOGVxReWqNRig/5Tmuu12PNnYNpntkgJ73CbHmJBaBDHa8AInsNo1zL82sECdw3j9DrHWoSqyH0AdMRAKdDazXHhUsgQaQcIOhOLaXgPszQCPt2QN8FReWuONguHeyYnFmbg7jO8i8qCik78c+s+0F9gzj/UTAk7g8tBZAkIROUUv2lLU9Elj19BsZU0gW1ojzodIFVV2yWgrD7rrrmCALXSwenrbrcCFgw5BwmDYDDyit6UNgOp3J5NVaatlk64mUuk+CIsTaNiklfjadQfAZ3CXQkbg5mqYh8Z60TUvTNKzXa9aLJcvFguViIanbiJvGxJgc5x2TyYS92R73798nWJsDszUq874MFp5he9NaC8/PVlHSJAzHbjcAU5jIzCymyLbvnvo+ntQqXaCDxvZieVNGY53Fe4V3AiRM1C5CNO/ryLTrvWgHApS0uPjMYAqO3OKC3EM6R9L2bddLhkBUN4JKGV16YKZOnVQKbQSMQ4HH0/ZtLG4I25aJdOs33vwx77//No+Ojrl18wO+/vU/wBQ11nuKasKqdehCAk2t7bly5YrEIFnhpDg6ekjvPGWax5FAT23cDc5sxWHzkyREVT50CFS9fOkqz199jb1K8dZb7+SsCpnfBYcHBwQfWC5PozUzgcO48UULhI1lT+T5RRDJFIy9jSBKZabSpAnGY5MJe6vjXhn+zVd/iu/ML/Gv3H2Hv/n+j/ib7/+IhTbU3lMSeGxK/oOrH+PfvfpxHqdisWOJuiVI8y0SUEjiXkUm1dHbTwJAxd7mr2LcQzLKqHRtFSfTKAZiU5Bvvi4BPulO8YOYFp7HMxYURidukCFYVKJs9MhtK4Jq/Azju6Ud0cdj07scA56AxHBsD+N4VMb9z+94a8iVMmeESxqQjcsGEIS8fWUlpWOQRAylwsiPtgumsanhx2cZx+s8KzDYbioqteO/1bkmsAQKzl5jyAQaANFm9tqo7ypNpQRsN/eZ8Rw5E4w+ut743l4NyTFDX4eZpEg0BQldjyB2iLA9MjMrk4B2AmSjvkXgEJw4/KuioO8Cug8wlcMfLzru3zsF3xHcEikQngqIurx3h9Gsk7WmBx6mDeu63jpWLFg+ROPDOe8CGMp3jPbXAWgpsSilZxxZ657UnolpOQmz4K08uAp4l0zfm+jsvKZ2dEihqOsq10e69/ARl158UYpt6ghoQsD3FhWrqY/dWQGEKCwELh5e5Llrz3G7aSnqKnMteO9pe4dV4qe3SL0utJhgxS8bhCBsZNlZLBY8//zzAyGglzISbdtmK0uzbiQzy/moLsrmZ6OLqm1bemvlBfsY5RVdDy5W4JZ4Ap0F+9iyNGZ7DkEYmdtY7ys1rTVBK2xwUgrC6EHof4SmgNIU4KBtOx4/PualV16iLCcoNL3tmUQ2665tY8r6YFWwVqw0k2h5ct6hHRncDTGDyS+vsnBpu0YAodaDD1oZyrLGqGIoyBoCxpRMqhl780NcXOx+cUrTLreeBiQs1GKM5/Hjh5wuZDNZHT3EuxNs0LgARTklRCK5sixpmjW3bt3OrNwKLwVFFbGwaRio3NUwu3duuSNBlbfIrP3KGJiIyg4ODtHGY0qDKSuscxI0qAuef+F55ntz3n77bayTFaFRZ9Z63vPUEKcSGLtFNoM7k79/MK3L5jWYn8etABX4O5c/wd+5+DG+snrELx/fZd9ZWm34yWSfX7/4Em1MQhjOjnE+2KE8QRQcUphFUmCDApdqLYWACmU8diAhSpvwWOPLuSnpgdPfKeA3AfMwrK0h/CLq5SrFPmy9xZQ5F0E4SglpqtJZG09s3yadHwWlpGCLtfkMKe8IMKSaQMJFlQo1xsOSxh8Gk1IY/7M96UJgKFs6uh3gklVjJNSTBSS99XRBIYEkP0t+DzHYPgtixtlFZ/sy/B5lSRjPvkGGqF3nn9O23R2blpLRM4/B7A4r2cY4bACoqBSkmaVUfFfJlTkCL+nf8d9h6/4JC4RRlpyKWcoRCKCIhgXy9VMh5kxDw3CPBLySrpOC1VUYri9zR+VxCZGjKlGyKD9YSftegpmd67B2RfA9eCEhVCEC4LSHjN5ViO80ifkUG5ZzqBKAz+bTs56hcXbveBBlKAarfx5MRlbzZ8Ag8BTAA2LlydYPrSTo0Hq8FzZUs6t42nZTUt/Jb3dKKebzAwpzhAqK05PTGIPSEZAg4N71NF3LMll6RqY+pxRFUCjnKTGs1y2L0yVN21IajessXdeiixKnFViL9/NMzlQUBYFA07ZcikItAQ4hF5PNLGVLpZY2sb7voxXMoSLJIUpJALaLRIS2z3E5iWPHxxTpePjGZpsqtWstLr5kxUmLMvlyx1YfD3RWCA+NMbR2INH7KK0sSgpdEYJkNYGWEhYh0DUte/WUSV0Plpf4QrxzIohC4MKFC1y5coUf/uiHGCNkfrlPG4JYkEDQUh/LA82y4eHRMRcvX2F+cChV6EcuLedcXFSapulwDg4ODiiLZifaSO4nax1Xr13hX/rv/Df5zd/6x4RQ8eorn6acHnDl2vPc+eABy6Zhvj/n+OSE2WzG66+/zvV335XisEpB8HkRk2XtLu1iG9yPNN0dY66UAucwSvHBB7cxakWBZd14Lu1dYP/wkLKecHy8ZrHo2du/PAjvIJW9s5YYUuxT3IhihoZYiGSzCnJQppcvTZnBZGGMMJznVOitp/KBMcnYG9PLvHHpUxkciQwOTI1YdnrnYpBjiH5+y7B1JbgTgWnwWB/EQusB51GkWLBR8D8epYe14H2yFErcGQYUMREhptIopWNxU0iWuTB6lzCAGT0OrlUBJZ0RUBr5UjzmzHwTfpDhc9nofcQkilRpfRCskWU6CO1CeroUS5Isx4MQMwOMD/E9jDL4GD3Plkwa1l4EbmOcPJLJJHSuIAU0yfzJ1w2j6yZwvGMNhPRNiu1QEOtf+ZFF6YzCrM4M68ZxG5YQyPtCygTbBWjGgb7nXTfDlnh5H2PZhtIGQzq2AJPN1aGyIrF5T5U2ijACKSOwJEhmcN37MAj4LPvV2M0T/96wQo1HbAsIxmf0btg/tYJCFwS3Sen4+PGavrN43xF94OAlDSQ9g3hX9MbrHsNXwSkBqdi+a5zT7+N3kebR2Ui8REclimYC59Gt9iFF3BMBT0JcSQArBbUpAEsTs5F8DMg9szNuPIqiiOne221STwRpOgEWRkt6+qSqMMZw8fACly6V7M3nuEAmp8NKBpNdN6yt5fjhI5rlklIr2tWaam+eY20IOrKxGnAeax2lUpiiENAT3V9p80yWlrHrKI0BEJ9bNnFjhDixqsvoiuro25ADkruux3lHH2NYkqAX4kKV6bVTdfJU12dcNb2I/Uwp7EM172EDCNGC1Pc9zXr9NAj65ElhdKTDh0ePH5OsUL2zYrEyBuvjM5gh9RzAOolNSvXBiP0cYnhEqBhtcNoQlNRqcXjWXcf/8z/+T/nWt77Lw4fHfOKTn+Jf+u/9d2n7TkBPvFYaM+cdly9flPgbrVm3690bZZqHSrG/f8jJ6ZKiLHnx2it85Ss/g6lndC6wf3gJh4Cz08Uply5e4ujhI66/8y44j48WHnQi0hrFKyQtMMAuLTdrN6OWlOTkfrv34IFUofctpW7olcX5gocPHjGf2xhrqulsh9IaraOrKCi8FkAavMcFF/cpn+ebKbRYHqI5Wsc0coXMQ++Shiwpx6YoKBiyUxhdL6VpE7VJKa/iIzgfCx5PXQulRUj1m7xcx8YaPSA1v3QEtVppMXdHN16q1CxWtmQgkIHz0VIk3+k4z5woIIjrOMVuBTUIQ6WF9DStYRH+g0DsI//VeAYp7wi+zwqe7OcSFxgSgIDsfsxnxkB7cXsqkqUkKTxGSVybCtEKqhRKebxWEhacgjyj5UVghcrvMWgQ+v9B8017SYhugzFTiQ9gkdIfSmlSAVKV0U+ywskzakwEXF7GM2/0KQw8CXU4G5m1GXCeOzH+PYO1BCT01kEZN42ef8gCzG6aM2BodH4YrMkZTGV8tuv4Abyk5ZlIZIf4nd07bLq/ZnDPjIGPho3C0UNcSwIKMnO1GtQACDGpQW0MTYjjN+6XipxoA8CTf6SigRPalyD9NEpLTG4eT3hw/0gyFgORLiRRtEQChbiedjJi60HJgpFKE8bvMT3TmbztPCa7Pvdh+z3FOfOMlp3UnmrhKWJxyrZtUVrhQkdne5wrCaHA247VyWlGXec1qSu1+b1GMrWKoqDpepp1w9WLF/nln/sanfdY73nlhRe5dfc+3/3D79A2a2zb8fjREXduv8/7771H8I7D+R7KOV669hx/4ed/gevvvSfBwsGzXq8laMoUFGVB6JP2J73Vaqh+XhRFnjxt25LSEHMgrRrIA1Eqp6unshNGa6x1dE2D8+JYUkpRlRXOWslkipNbp2sTolYpE7XrOqqqEqZcK6ArvYMxCEqxRglYhBBYNw31dELn3IeeCBvvRWuqSQUKXNeiEdZt57ywxjpYLNaYwiDZiWojg6Dve05PT2maZgBCCfCkxa2GzR+EF6J3jt/+nd/hgzuPMKbiO3/0Xd544w1e+firQj6YtFwlgmS1WvHw0UPm8wOUVpnpFza3MY2c563l7bfe4vo7b2FMzVs/fo+v/+4focqKtncEVYAp8U5S/GfTKaenJ+LGAmJ0GSGkDJWtxRl2fir9USmcdfeG7Lzn8tWrmGqC0QGtGpS3gMO1a+4vFly4cEhRVazbViwwzuM9WCf8ICbyHokfXXrgnUMZIczUSmo9tV2HVkIl4CNI6q2lKisBTyHkDTeltBIFso5CXmmp96aNoTAFfd/Je4mWuL7v8/oojIkKrKY0Fd5B0zWAxxRi2fDeYoqSoqjp2x7v5V6FKSTDsWupypKyrliuVpHGIdJHpLnnYTKZUBZFXmuyAUvav1LCWm1ivT2VTeuiVBij0dpQFmX+DiUKeDWpKIt9cT9oEzX0wRQxZHSFvIaAzE4u95OkCEUKrpW0b+csIdYscrZHa4UNCpu03hCtJApSdUTnfM5GFWGWnifkQsze2xj3o2PGDsI6b1sRtsnVEeMjVRJu0friAWfIRSeV0WgNOkj9PB/9c8kYphiAh2CJODhB5++z8A8hxziJ5U3G8DwpIqSwCq0cQ1ByEdeWYaPA5Pn5ejKV1fDhLsEtY77jOunZQpBn3qYcgiF0Rg3njANwAypa6ZNFI2RlIF1EeQG+QRt57wGUCgRvIlFv7INC3p0nW3sGgAKJliD1IXif30FRlhgj8srljFlompamWROI4SvJghgGoB/ifpAfetc4bzW1ddSQPRYIY/Ac/FnRlRDqxv6aXLZ/hoAnBe8ul0uci9lBOJyXChze9wRvWa/WT73R3mSaO5sePihZ+M6L6+fWrZv8xm/+I45OT3nw6CEPjx5z++493nv/Jg/uP0B5D95SFgWTqsJ1HdNpzbW6FMvN4pTvfPMPOF2cMv/Kl+n6Br+GqS6pZ5VoU3HnU5EnJmmkXddlcJGAztjfWxQGl4KoovBAQT2p0UZn0DFOP0/uJ7EC+Y0UeKLWPM5YKApD28r9mqbJmmYCPMlSki1rKcYqgi9Jm5fYE2eHWKAP24xW1FVFYQx91wNS1d5oRbNexbERUqreOkBhTJFBWt/3HB0dSQ022Ei7l7m7uaUlmWqtAEDvnRRtLAzLxSlv/+QncVw7TD3JGr7RsF4vWK1XAhqCBN/qyLNF3BQKU9Asl1yYT3ntlRe5efMGrQ2UkxmOCbqY0LgVuiiY71+gW7esVqecnDxGKSnql1lkz2ggWwsubwS7wX8yz+44AXRBMCWTmWaqoW+OCE2H0gpTBP7aX/oLzA8PefjoEatmxcOHD3njR2/wK3/lL7O3N+d4cUo9nfDg4SP++I+/y9e+9jVm0xnz/bmA6abBE2iaNT/4/g+ZTiZ8+Utfou1aTo5P+O4f/zFXr17js5/9LAC2t0wmk2wtMNEqMpvvcf36u/zwT37Iz37ta0wnE37nd77Oxz72Mb70pS+xN5/z8OFD7ty+zappOD454Stf+Wnwij/5wZ/gbOCrX/1Z7t+/z+/+3u/w4ovXePGF5zhdLDhdrHj11Y9z9coVPvjgA+5+cJfLFy9QaM/7N9/n4YOHfPkLn2V+eEBZ1JyeLChjTbp79+/z4P5dgmvA+8SdN9JfJRwBpTL3kXMihPTofekISGRuRgXFCNBJr0piL4aEjZR8MMRMyPwbPteRiHOIn5FxdXiVwITO1iaLFOMdjoWx60rpgTdMx2gJhYrXKVBaU01mIhKiwK2qUsBptC5pI8WhVRBHWRL+4qo29M5KKcfgBgGLx9kATkCXxOyJEuCccJ75aAHUqTyDT8BPFAkfXSQCeoaYEwGCMT4mCu6IFWUNBlDBJPy9tfayVGFDCjMCIGoLTCXr0MhiNBywQ5Cm95rQ9bZkVinOZAA8AyBO1imh+ZBYLB0tgJCzxZJQD4PXATRaBzzCUh7CKIlDiXUQn+SIBhVT2GONSq1MBLGB4IQ3z+gaY6T8jCqHcVm3rdSZRNiVZcE4cqmebHVKlsDhWdXICrMRlB52vRXZT1WyCEVlYeeuGdI/cXTzq06w/NnbUwAP8uAqVh4vS0JIvmPwvsTbitPTk11PtNmUwkZBVcVNwoVAs16zXi4hBFYnj/jt3/oNirqOpuWe2llK21D2K1zfY4xifzZnVmtUJZuxb9YUSkG7pqwq5pOa40cPaJ2lso5r116knNR0thdTudYYU2YGY2BgZa4q9vf3AeHZuXDhQuTXmTLf25OyA00bY4kCpixlgviI1CMSTWnZ6VUZY6ij20trmei27+MG4UBJEKxzPUUh7r+u61gul/QjIsH1ep3T1bezyoIXcjzb9YRdC/YZm1ZK+ITQ9J0DP5Tw8I68ebdtE90YgzkV2Ig7SlNiXJAzQGbDFReKy1lCIYDHxbiU5EJ0WNdHuhMXtSQrlpbQEyii9pcsdyoLG6M0L734InduOv7SL/8yf+mf+/P87f/4b3Ph6vP87M//BZpeEcoJTinev/UBr7z8GnuTKe++/RZ/6z/4v+G9xTshWxx2o/Reh+DDDUNP2PogfR6tDnnpKtDZxCuasi40RWWYTRQrt6TvOgKOQin+6I++yYsvvsx8fz9aTArQJZNJRWE8k1qzXB7Tdyts3+K9Y/9gnmu2rdeeBw8eMZ8f4r3CqIJLFy7hrGVS1szqmvlsgsZT1xNCVVPVk2gBtdHSWVKVNc4GLl++ysXDiyxXK4qiRuuSR49P2Ns/pKwmsW+ayWTGc9ee59HDIz722sd4fHSMCo7nrl3mcD7j6sUL/PSXv8Bqteb6e+/zxS9+litXrlAXGhM8V69cxKjAbFpxazbll/7cL/Dciy9QVRNuvn8LpRX7+/s45/iNX/8HvPvOW9H9NWySEhCd3k9ABSPRMNkLI99qhsxAmcPxO0W2SKRZZjDoFFOjVApPObMPCmgKePosyMSSEueqd2KxyQJY4XSBQw+uwMhanX6mbCvvkmsguTXEehWiaE3a8Dg5QmlxIaZ+6GidlpTnaBHwsj/rUoNK10YshUVNUdRS8T4+sKJAFQatAoXWkeLDZPe1NhqNxkdLgSQAKELQOC/PYW2PCz0hiIUvWZtynGDUN7zz0dIgRK+pdlTwfoPJdxwInYiGAyp7zQIQtI2KYxj2K5W+T+7AaI0DUJ4Qg6qk1MYYKCcYFlBO5VpPedaoeA6JI0f2Tp1Tv1Kfh01F5MjwLEDmzhGyXLmfi4Mjbn8BnLLXxHJQIRCcuHut7cWFrMTyqnQh/Quwbl28jh/GKFtSht92YcMNT18YgMkAKIev0vFhwDpnD8htc5PNdCPqw0u5JwOeQgTqZFKhtcGYEoWwiVpnJTtIBY4XxzjvKPTm5RJ69j7Q2g7rPc16zaPjI5Ynp7x94zo3r18HZyX1LHjqskLj8cGCsphacXl/gu7n7M32+OSnPsH+fErfWmxr6doWbRTBOUoFVVEw0QXt6pTGeoyuhXbeKPbqvbgQonUlWkaStlVVVbbApABjMXWLJaiI7rfkSrLRnN52LXEpiZvAD2bFVCizaRqmk2oYG6Dr+0hTn/hmAl3XEIKPJnu3ET+UXG4pvmgMeIwxuF4AXR95fYia74dtWhumsz2ch6bpsb2nLmdCox/VZq11DkTWeit1PGqUm77kYWpqNIVR9EljJgioUIGqKgdzvNf0XY+pYhCosNvJ8vZeTPDeRaZbhVTVlf6l+3nvOT4+pW16vv2t73B07wE33r3J0eOWptE0vuC06yinU967cZMLFy5y7fJlHtyVyutiJEsbVdIm8krOwFIxWqdqdMyopSKK6f2rOBcHanqF85oHDx6xYEGp1nm7DASOT464e/cubdfjVAFKU5iS3/yt36Tv1qyaFm0Mxkj823e/+12++c1vCllmWbJeN6xWUqVbK8OjBw949+23c2xYVRfcuHGDd955h77vqesZmFJo6JuVcEVpQ1GUIhi959btX48uIcNP3n2XN37yExJwlbpwYvn77ne/J0LWBsqi5N133gZvwVnef+86t2++Iy5QU/D6D/+EyWTKarlGAuD3KYvorguK3/7HX6eeTAT0BU3fS9kMFLRrieMb3ozELGRNOGqI2f2ww80ujoDhHacCnyK0IkhRigIX081TXMdwnc2NOO4FJIGczPZqyPJKGni8RqEcLss+CfZOtYyGpRRnR7L2KyCylUlCsGKjJyn6OSCWAkCygzTOSb06l6+qxA3sh5EE6FF4FjnsXKt0F9H6E0CU0gOxcKVO8W0GH92LWitMIS5LFVmdlY48XTELLLlDtVfxPjLORV1jigKtjFibFNE90+FC7FnwcW+V/VHrAoJGYaSckfU4b+n6JdZ1JGuDxOYqkT/JFRVk7UrMk8/JGVoRYycj6FTRK+B9tlppRYJj0fU6OHB0CJnBnjOMXoM1ZTsBZexaS7uP9jEhIL7jZIXXQUvuoxdG5XG8qooWuAR4Qgjcf7CW+ZHid9iMSRv6GfLcyr3ObtVh7eS2bVojgZ0EHvPDcbaF0Tm7wdAT+QlH7YmAJ2UqzefzLPRD8PTRbQFSjOx0ecS6kc2p73us96z6ltt3b3PrwV1uvH+D995/j/neHLxHB2EHPj1ZCGhwAR0BsdGeydRQVzNQCl0YLl3a5/at28znc/ZmNa7veP/9G9hWzHMHB3MJfi4LfBArhA0Sle6tcMmUswl1XWVtRrhyUtq93nBnJTN0cklJSjlZqKdFlK7hrKUsSkpTxuKiCu+kmnry1btYFTydH4glK8qkvckEtbbPBTgTKBtH/CeQMX75ZVVhIjs0IUj8TNsy29s7+1KfoRljODg4AJTwILnAdDajquoc6e+9p7ddzGAjApzNvqbSEmP3GwyZMGVRYo3BxawyozT7B3NZsLYn2EDXrDi4OKc0mlzcdaQxaK05uHiR9WpN2zrGJs4QBEg+PnoMKO7dv8/927eo64oHjxb88M3rdKHEGw1GQ2F47913JXbFWkqjBJCMhOd2GwfkbWoxw7Eb5t2NY7I8kyDWIGn9RRSyY4uE1oq/8ld+hUk95d69B+iy5Oj4mO/80Xf48ld+hum0ZjLdkxgUU3G6WPAH3/wGX/rSlzg8PGR/f5/9/X2Oj49ZLFb88Xe+y3w25dOf/IxQDPQd3/vedzk8POSTn/xkjMERoeucYzqZcHB4yOnilK7rWa1XvPnjN/j0Zz7NbDrjzTff4PKVK/zUl76E1prFYsG9e/domhWLxZIvfOGLBBf48Y/eoFmv+ekvf4nV8pTvfe+7XL1ylf35hKOjI3rnuHT5CgeHFzg6esTjx8cSj4fj6NERwcPlq9ewneX46ITlcsFsNmMyq2mapbhDvEcZmWMqIssUMDx+A3q0kY7fVd7QVfpb9Npx/JkIX53ywAZLULxiSm4aYjMHV43b4B+Jlg5CDiCWo50kaMQJIjEuOuGV+E9ioAOlotUjBWifmW1yXOIMkm8TtAlD/8PoKeLpm8MW3cbBiTKLFJ9UIaYhZ4ulzsAywc+gUhkLCd/1NtBZF2OOkqkt3l0T2duFn8S7MFhZtBTCNGqwoMs7CIluScDYKOBeLFri7jNGavNpQ0xEEHel1jHUXSkIJWIVE1BqTBkV5B7npF6jioAnxOxAH4P2/chKoxSYEIlQtUIVMurKD5QKyW4y2jHiuxEwCooQCQVREHTY2FOSXNbGcPXqVZQxOB+w3sW6WEqyF5N3JsbOKa1wLnD/ccuDB2v6Nfz27/8QrRt6dwqhlf6FREeqhnm88bbiXkuKwBqAm0ob3A4csxFoPnqWs+0cNBPEapbXwzOAnicCnuVyyYULF5hOZywWywEAuBBNjhpVGE4Xj/hPf+0/5cGjh6zbRkjggmW5XoKC5WrJ0ePHvPLSK7z68stcPjhkNpmigsY7WC2W9F1L163xwbNYrWibjuA97brh6Oght269x6uvvEpdG6ztMYXC9UEsGraj0JpgCnw0XzrvQQnQWK9XzA72swlXIbW6FIqqLKXe1tgCkVNdfSYBDPFz52ShK6Xorc2p52MLh9Yqu6FUjBfoun4AL1qcNV3XMKumw2daYoGsdRSFyVlfYtkRzVCKcyarygAwtNb0XhZvF+twfdRmtGZ/PqeoSglUZWCibSMRI4jlzlpLXae4JxnDZB2T5yezSQ8+aSBZxJTGZS0GLhwesjw9pS5rlA806yWHB/s4HOGOI5A0fRE+RWE42N9HKU3bHifxM4w9mmvXrnDvzh1effVVfvqLn+etN9/kdG259ton6KgIRvP2u+9w/8EDitKAdQST4jpiouQOoqwRMfrG52Fr8eUMHQJhez2L70VoEnTc3JIoiQYhpWUu/uiHr3Pt2nNU9RTbO3Axo9BbbKho+x58R6etWAUB13Y06zWXLl2kbRuqUnPp8j6TWcnBhQM+94XPsVqtaJuGH/7IMJnWXLp8Mc49y6SeysOowMHhQSbE/MEPfsDhwR5f+qnPc3J8whs/tuzvTXj+6mX253NOThcUUWgG7/mpL36e+/fuU2t4+OABhwczLhzO+f73vsvVq1f52Z/9aZbLBe++e50vfOlLvPLKK3zve9/jvffe4+rVa5RGc/v2be7cucNf/2u/wrVrL7JarHlw/x5FWaKM4vHjI77znT/kwb27OQZH5HuEIGcya7azitIJo5cXNVZF4kNRG//rMD50DDMG0DSaCTFFPen8I2sKI409W3HS/EtuoIDSQ8bRICLl+RSBMGIOPjMv0ydhWIMoF2NKBvCnR+pytjqNnzMqaCiweIkfCVJeJkZFxqw4FQ0OsacpIyyTQA6KxIhZTD5J1F7xeUwO8k2KQogWiMgingVt0vjF+qTjuJIoCUbPKa95nC2kIAWkp1enFF5HB6bOplixnmgjcVDRSoeuAC3rOG4CSg9aTapTp1FgIiAL0gevJFsyATQTgZh0YVAi094v64romhL5UVQ1L770KhcvXaSqJngCx4sl77z1NifNcbaAW9eL5TqBGVXgtea9uw+4cfsW1j/GhxOC6sixiynmZpicGy2BWjdyZak4l8blYvyONbdptQkbyy8esHWfs02xs1tn2hMBz3PXnqesSh49fETTNOzN92JGgKBJowvJGu1b3n//HbwO1HVNNZvyypVLTGdT9g8PJBZltWZSTQjWsnx8zAe3HrJcNLTrlqZtcK5HKbmuKgpB7142+8PDAz796U8ymUwpS/FbTicz+s7TNS2q6WlXPXbqOJzP0YX4J4XAztI0a6y1FD6xRUoGVxldRSZqAmPUnAJtk9tLGx018Fjs1EldkZRaOzY5GmPouo7JbC+CJ0/XtRSxBheALiRgrKpqyr6l67r88ruulZIXZRF/T4DH4b3F2kZMunpIQS2MoXEeo8R69acBPForLl28AEqCubu2o5xK/NG6aeSYmAWX2TD1YJFI4zaZCOVA33Q57ijvuoHsb/bOgQ70fct8b0bbrgjOooPGaPjYx16je9dlwJpSMUFhTBkrsVcZlCbwGCIdelVOuHBwyKsvv8LXvvZzrJdrHi97fuZrv8AqaHRhWLct9z64C8YjqdpkjTJBkN0raliC4exHZD06PfPWYk6Bfj6a1XVhYjxkfE5ctvy99967vP322/S9Ay3V6B3wrW9/BxeckHg6cL1snlVR8Pbbb6KM5vs/+C5N20bfvMRgHT16yLvvvUtZljhnabuGRbPg+s3raKUpTSmxHE5M2+WkgiDEmfhA13b82t/5uyJUVODtt9/i+vV3KJShrmraponxfoHvfPsPpbSK7ZhMpty48R5dL2muN2/f5vYHt/He0XYtP7l+nb39OY+PjnDOc+vWLckcrCo8gd//gz+gLCe5wG4IAVMWrNdr7t+7n7PVEnwkCuBtDVCHs5+N3tjwfuJcSMHBYmuJwjWXWEgnqHjtERiJGuxYLw5jwTBSgAcgNFhpUgGWNHcyTBjFkPgwzMKh/5sgLzHwDrM6jUO8MT6C7+H5HeEsTkwtQBGSwPIYsduIWEyWiaDxKoEmhfJi7QhRmcixcckal4Nh08PK9RjFa0TsE+8EWtn48EO/U7UFlM7jKz89Oog1TYVBFGdXODaPSYjoMygJMJaxCPl4uaWO4E1BEJoIrXVOS1cGfCQp1EpjdJGBjMieArS4yHJCjDaR1DLOO61jwLxYTEQWySzUMdgdpQiq5u3rN6nvPBAlWQU6a2lXrcDh+K6cs0wmtYyg93gCX//db/Ptb/2Qk5NHGNPSqzXiwHRkHqXgz4KRPBXC8D7juxjUN7JX48mmmJBexoaLSm8dMQZ/o5nyLAaeJwOeuiwJAcrCUM73UErhQso2Mtje0vY9gYqf+5kvc+XF5zk5WbBs11jggw8+4Mb197n9wR3u373HlUuXuHzhYozXgb63dG1H03Z47zClodBQm4rZdEbfdvgYqHzp0sVoGVMEb6jrPWDN8fGCsigolaFdrenWa/YPD5nO97FBArXa9RJve7ythMisUjn9FFSOywkRAOkgWQt901JWJQ5J702ZRiCgRpQcNbi9kAmVGJnnh4fZrWOtzfqHVqINtW0b0+cHrSFZRMRi4mIqcDlkZgVP33dUVSH+diV+4JSRZfte3kvTPsPrP79dvnxJXB0LAYtTM2UymeRMtcxAHcdDxrDI1rFEWJlS/hOABNHWkmXM9g7vQrSKdUynJUo5AQBBU5Y1H3/1Ve7cvxsBKeJmUhJtUdc1ShkmkwlVPWXdNINgiGD0zp07aGf5w29/mx98949YLlY4U/NHr7+B01JAr2lalPOiSeZNfNAk1YjP5Lw2CC21+Wky2W6YoZG/Udn33fV9ZOuOIi7vxiK4fuWv/gpFMeF0saQoa5arhqbrwSihWtCKux/c5fat2/zSn//zzKoJDx8+4IWXX6Szlps3349FLQNaGzrbs2qWTKcTbt+5xU/99BdZLpfMpjPJ0ln34KBrO4KG1vbcuHGDz33qM/hWUqn35/sURvP6m69jqhJTFBg0J48fc/nSJdZNCyguXrrI+zeus7+/hzEli2WD94Gyqlit1zLXg1xz1a45OnmUBf66X4EWa6DtLfeO7ot7Iiopzsv8KqNbIoPv4LPSr7c0ywRCt9+oZD2FrWPHW2qyIKpMaBhGbz4fpZJg3MS/GzRv+bRkedjuC/nzsT1EK5kjyQIx5i4ZwEnIP7afJskcFY8fYpuGnqb77RIiYXydaHJRiDVHSC1VBBTyXDp3QgC8JhCCGY7b6GSCe+MeC/pQGRkm0OmH+2zp/omeMaXcp+FNAEvHvuQJkp4qFsAdj1kOBFZnRjJaSWIGWYqfim5FSFmA5LH0WkBKjg1SOiHzqLzG1H+js2wRQKMz35h2EX5rCbzXAdAK1zl6v8IsGznfaIKWWo5ehYFwlBABT+y/97z149d5/U++D74lhBbnG4RdOQXLx7mQCE3DwOefIxuVYpMeYHinEgs07KBKpbe8PabJkjS8syGH7lkgzZPbEwFPGVOx60p4ZBJ3gzaavutYrTs6G2hsx63r17l+/T1OVksa19E7ifUxRUm36jg5OmW/3kMfEoMKFVpV1FXNwYWCqp5QTWpMUcbrt5w+PqV3UKAjGg9SckArqkqi69frNcV8TlBw+fI1+rahrCYc7B9w/9Ej2SS7jr5ZU5eVsDgn5mgGN0yK0E8m6pSqPplM8L7dcB0NJkaxrPTeEo2rKK0xpmC5XHElLqaiKGTSjbKXAlGQxE05IARl9aTKsUUpYMwYxXQ6jbXLhoyCpJVoMxQ9DSGI9eUMh/2zNwUcHOxT1RX98YJ1s+ZAHVJVdRbYVVnm44UfSCwOKQ4KRIMpI4FkStVPPC4hWJyPWStRxPjg2J9PKQsFTiwJZVHwwgsvUlcTtCqAkhj+iSewWq1xQaNUKdXdYxBXDgyNG1LTNUwLjakrprMJfShAKbzSBGOo9ytJfbct3ll8gLKoKEvNcnlKFnBxc95pWt3SwNNnaeFuaCqitOKVWJSCCrRdF0sPCBAa/OayMb7+xht86rNf5OpLL2F0wVWtY4HdJUVRcuv2bUxZUUxKDi4cEqxntWp4++3rHFw45IUXXmF/PsdZR11PCTrw/vs3uHbtGg8ePuTixUt8/vNfxPaWk+MTrl15nr3JHr3tsc5xdPyY+/ce8omPf4pXX3yZBw8fsr+/T3CWN995h8tXr/Lqx17j4uEFfu3v/l0uXnueK9ES/LWvfY2/+6u/yi/++V/kxRdf5A+/8Qd8//s/oCyKKARlE9925efKBWlOVQWaQgJC4xwv4/zRQYjyVCxBEiKAghBrLO0QWNuvUA3cXGePjUoJIbs7h3/TcWoEpEKOE4ZBMGwHXoZRlfkQBfJYMGQ3TBjODyFaeJIwGQ3bAFkGIZFxgozicG+ygWUEukaCaQREwsYHyTrmB2ikNClVbTgvxlQFRpXeR/arAKO85pEVYAwiB/A2/kWUBbbadrzd4OILGwh3LJg3J10CMvmTFAMWrToDrJUjdNwQzljiQgK/IxdiCGlCyydeRwVOAotBiQITlbrgpdYWyqB0SrBJ99BoUwjHnSkELDmRBUaJVUiZIgML7xx4T3CWuipjLJKjaRw/efPH3L75DvuTGfgVwa0gdEAKsh+Bnmzd2lxRA0AeQOPmKKe/RnNz+/3FwO90/PAWd7ifR2/tzyRomdg9owUpWmtxweL7MJDtGZiaCuV6ClWgrNTeUEBhDGVRcOXSZepywnNXrvLayy9SadG+l6uGVdvROY91gbb3+K7B2Q7XO4ILGIpMsy7Bw9FXHCubT6fTGLGvKesqpj8rjk9PY1BwibeOvmlxE4u3jmAdqpKgLUlN38x6ggHwQLpvHPgELJSKslVigZKJWhkVXRBWyLpkhoh1Qw3prsQA1fTKUuxJVVUQGW2LoohBwWZwuRFo2oa9+Xxw60SunzFD9LpZPdsMOKdNJ3WM0XEsThdcfc4zmUxy0HQZyRGt7VBqvgFy8txRijpmiiUX2zhVf1w5HSTTYn9/zuWLBwQLhprJbJ8XXniJup7kMUorLSAuRrdcAkUswBryAk2aybXnrrF4fMRnP/Ea/+3/xn+N3/ud3+XB8Yqf/aW/SKsrXJCir1VV0rtWxj/oKDwDb/z4T/iN//wfEGw34slIz0h+nrywA8NmECWKAgkBUsOWkBRqj1juBpK/kPXOtEGUpuDWzVu8e/MuGJPnnHCaRKZhYhqxhq//49+GzsV5KLwtXd9TVhU2SEmJVMjXaEXwlm//7jcpTIn34hZDKUxZSNmUVGYiwO//7u/zTWNw3lGVReZZOT455Yc/+BHKe7TS3L17T6w4RcWv/Wd/n9PTJb//e9+grmp8t2BSaMm0UxFIBCUa6dZc9KONr2BYn4m8bdwCCq+MuJTiC1DBx/INT+fsSJk9Zz6H7N5K4moAJbt32/GGf576sSnihzkb1f8z4ChR68Nono2OyRv/JubOc3Hw7A1CJU/WHXNZjkwCzo/OZOhDnq2KAUyFfF+fNIQI5JMncVwIUq41BB6PJeo4iDzfLgywLItWJeBhc7ATGEnHh9HP3e9lI+GABFzGoDQBNBWJZEM+WKUBHD1aIipNYJns2h/D5US6qGSaKiOcRLF2mtIBKTWQH0bWvPN4DAQbg7kNEmSsRR77UoBkUIQgWZHeOmb1VBS80GG7wMdfe4mT+/d4dP8esAaEDmOIcTpvBm+1pwKPp6+KMAabsfnNA/J4Pts9h/ZEwJMEvqBPT297HC7O+xhoG7Wsuq7AFOjJJYrpBFNHrgalOT1dcv299yOvzIoHqwVts2bddrgQE91MKWg1PbAPorFps2HtDUG03uB8BjxKKSZlzYOHDzmc79M7i12L1ogPOOvo2pa+a3E21mMPAaMl7bF3QkiY0neTmVcFpDBopK8fp5un1rcdZVWIq6+MFo7o4tIxXRzIRUQHfg9hqk0LWthCQauCEKCqpACqECLGFMIAIbLLjjk0UrCz0kMtrj+dS0tRRwuOdZbFcgEEptNpttIkS8563WZ3WwJdw7uSFOSu65hOp9nVlQOatZhdTYiALQQmZcG1q5e5f/cRB/v7/PJf/Gu89MorTKd7WOdBS5ySpKUHMpkZdjfMD/D40WOC7bl54wZf/8e/w43r77Gyih+/+RanLjJVFIayKrB9R7A902pG13bs7+2xWq5i3MEwL3bIlfO3hB3CR6WdO34Q0oYe4yFS5kxQYlWdRK3YKCsps+l6WlFpTRFN4SgZF9W3OGepvdiJjFKYaYVX0ANKCfO5sK9CoUoKr0hlCoIWIOa6dkOoVkqhg8MkPpVOsjX3dMA2SwHcwKVZjWuXsebcGlxgqgJ+8Zh1CJQqMIsWAnkQ0WJT0eCUGEAAFeIzjYbUx5pgA/1ZNO37zWsmF4vWivDMO+O2yI9rNMRg1HE8wofYbJ90t2TNTX+n+JTxfuMDGyUkpPL05qwbxwONdeLMZRsfTTFo5Jm9PAzpz/HqW70c/1TDjzwMAUaJ7UOnosUtogG1Mb7DsQMw2zX+JOQR18vwzfg8sRgNACQDPZLNlJFVKM6Jre7mPqghCVusYGNwOtwnXXcDjYXxaI1uMAI7Kg9+OlIP4CnybKXYHggoLZlWqCE6RoUg3AFKfleRWBP8YCnKnXbyPzCZToXtPzim04r/+b/xr/G9b3+f//W/9W+xXLQxLf0pIGf8dQZzZw8bA+xhKMIIsexuw7djkLTdgQG8Pkt7IuBpmiaT8YEI/6AhIIGPkq0VCNpTFYZytkelNF2Q7KrT7hTbex48esy9Dz6g7x17k4q+W8eaN3FzVZrgktae1IxhqoyDiZNVQ2mVeWmWiwVqFpiWVZ426RrOClfP6ekpVT1lMpvFsVaUVZm1KOedAK5oL9Ra08QAXcIOXhnvBV17T1mWEeBoKV9BjMNBLFFFUdCEEAm/Eg97ziXCRHNkMJLivl63TCcTQEcKeRetF/KSU/r5mGciAaT1es18bz/X9DlP+3xiUzCtSiHCU5r1WriBppMpqfxFndyCKmTwVZQlutO5uriUvZAp1m9njmmFSoAwCC0BzlFVE/5H//K/whs//gmf+9yX+drP/xLFbA9TVKTNLRGPDFpiLIPAeDOTB1FKsVytKPHcPT3mN27/OoU2oGpu3ryLC0pKNBAILoC3FCFgdEGpC0wh7OIVPb32MXZC5U0rE4aRNM2ntLRpp6dR+WSSO4QAYSTLvFZMHHz+0x9jfvlQxk1LzSnvvJCceY3rZIy97aVMQZBN0Mf6cSEEnAIbNi1rePBriaUiKjcueKyzeB2pGwodC2p6rGvw3orCo0pCiHWuNKAE8Ggjgeihd8IJlRQIT6TNl1TfVE9ODAAxfkkFOu/EAgto64SzZyRrvdI4nRiG44v3EmSbXo2K8ywHnD9tA998UVt/63jBofhluofQvKW+DZw6z3yHbWV3BEByoH4+ZBiE5PR8UhtfehNixKuNeBUEdEGki2EwtQxzPF9hG//Axtze1ZPErAyMrDth6xn8qH/JHZUhRl7fCnLgcxKF2zF2m/LYD4I/nc9gXdk8L/ZTpR6JYUX7ETiPhQ02YPTWe8/3S+v9nCkx9GOYSUKpESJlATGOSD4XwswIguKiUj6+owi6tNLZ05JlQBAmbIUkF0l/PT70VIWmb0/xrsX7Dp+qpD9lHm+MXMj/bB20a5Sf3sbHb8790bfq2cEOPAXwJJdEURT0vY0gMQj5kg9DbIKGtl2z6nraoOhCwAaHsx7nAtZZmqaN6ckNfbuODJkq8tTEV+5GZj0CXqkc7T48ZDKvikDd29uTLCsvoKVt11RlkbOH6sKI2dw5YZ/NlZvlamNKeQE2Q/ZR3/cDQZOXAqFFIUFgAbmfdSlOgMzYmcgBnbO5rz74mO0lEfggm2ZRlhS99BcdqKqKtu0zUJJrChGhMZq+l7pmPqa2bvP09H0PSjiUPmpTSLp3VVU0RtO2DUpp5vvC2tu2bS68muZJJgkbpecD2aXlvadt2410/QGXBqyVxV6Unk988lPM9y9zcrLGVGIhMoW4VVJAqggCKXpZVAUhGILfzkyTDWg6nWGC58Lli/zSz/8sD2/d4Sevv8WFyQETF50kSqwcy9WSvb2pFOC0og15BeZgxoNuxTv3PsDFTchn7XBDzd0Yx1FX8ocqSNzTpJ6wbv0wR6IrqO17zJ6BPr73oPjkyy/zv/m3/yYXr16MmmFcC0npDeTgcJ+4QZIQ80GUFR8pG7ZjSEKgWTT0rXDvdF23Ma/T+8uMtEg5Ae+lsrmNWuVAPOnyGtBRA3XWkVySLoRIRaAJNmSXmLOe1WpN7y2t72n7Fm8tOFm/Mk8szlp662jbjraJbN8hYJ3jeLGkSXMMcYGZENC+Z9ulZa3dYABPbRyMn15a4xWnraNzgaKqIN5TETDjjThigSeF0CmlsqVm+7AsMHcptPEGIWvSKivJ6dBzT9u4x9APNVqDGwfkANMkgFV0zWxffYAnSSgP81O+1kFl5/VZ0BE/2HDvjDqishQ/0xJoGsDm8MtZ6LONKje/H18pAaxkaBpsSLGPYQQUE5g+587jwNxx0G2OidF6M34q7ic+iCuWyMeVlTklvG3Kx1gzMzIEBBXneGKOEu+EintOwGMj/089qfFK4azUSXv//ff57nf+WEqFiCnxCeP1hPl23imjIH4gGzGeXSHfurBKQDfNj2e7zhMBz2w2I4TAyckJy+US6zxFWSAlXkZEV97SNkuCqXBBYYOj8wHrwXkhKlIqYPuWdt1g+3VkIC5IiYyZ/ZgYkU58eVqQtJgARfUIaig6ulwuuXf3LlcvXaaciJ+yaZaAHGP0VLh62o6ubfG9ELylzVsblV1DaIUpTLbm9H0fX4yn63oR6ApB1SqgCsla613UtAM5mLHru0FAKIV1DhvdTUqpXHW5iJWes6YS00JdCvANaeLFmjb4nIqrlIDNlLJbFAWr1QrnLMvV8hkn0u5WFiXT6ZTTsqCLVOR1XVOWJX3fs7+/lwVQKm2RgFcSjtZayrLMljHvZZyMianjMe4kubi0lg2uaTsuXrzET975vmQ5hLGWkiL+Jbvg4PCAL3zxpwlo3nnvOh/cvUMKQE8L4vLlK/RNw1e+/FP8D/8H/zJ/9Pvf4NHt+3zt81/mQjUFB8F7ur7n4dERRVlw+fJl2uUK7xz7+weU8ymPXM//6zf/AY9WK8KoTNlmqjxsbm2j4xg2CKU0V65e4d69xzSduG+9CxSq4LNf+gpf+ORl3n/re1x/5x2mFOzpir2DGfW02rxm1PqWK8t65Tl5vGRSz9ib71FVhqJQtJ3lwYNH7M0qrjx3ONpkpL8+kBlYCcS6UWrgBXnWtkMBO/eYkfwJoy/Dlpa48XcEcGkgfSygmYBeCIHepVIBwwWEDXdrAw/kwqnb3XO9PRP033SOd29+wP/x3/0PufvB/ShBREMeHmYAMWPxuhGnEy1YIQyANcuq9IwKcnK5iurfaG4NPRM3dyom+awtAWylMusNLn87pK3DINgHkJWvkI9P/45DpxXqzFFjj/OmCsvWoCWkMSSHbAPQs/04i4vUmd8239P2NUJyoXJ2+ibAkM85B0NlwLfx4bgbm4JeXMp646QQgnAOJsV8pExk8JPkfKRuAcgVchP5pAoEM1g8fSwPo5SKtCIhW5KWyzVvX7+BTRxqYcg6HoO6MJ4DZ0wwOzh00jXC6P3HcUiK6+ZAnz0/g/yNY0ZQMpuXn96eCHgePnyYBzqxChdlkYNZQwDnVayJIsgwhOiE94MAVBp629J3Pb3tI9HVQOSVYglkthR5M0gxDKkJn4EXd4ge2I4DYEqpdqwgBgsPQZ3KSyp30zS0bZuJ8cxWSQRTFJiqjCZ3AR3WO9A6VoiPE1WLlUuZtDRk4lRlRVWWkcm5GwY5BlUHJAA8ZWutliuaponp5xZ8NKVqhL25LGjbNWVZUlVlXiSpCrmKwZ7aDGzL1tqcFv+RXVrAwf4+BxcOuKEDj1cDgKzrWkBOtO6kIOmNWIOREEkWnhBdK9lVqSRuxpQFxtpYM0gAcNt2dG3ggw8+EFfkZIbk8MQNMC2gANeuPcdnPvMZVk3H9fffF8ujMllX9MFz4+ZNSm347X/8dd7/yVusjx9z/85d7ty+w950Dl7cWjipX+Z9YFrXcgUfMFrjqoIlnkXb4pXCxrmZ/PdjXhVxe5wd9yGHQdE7z3vv3wQKUJETI4gJ+d6De+wVS44ePRJOG0pM6zfMBkkutNZz4+YxP37jJpOq5OUXr1KbisVaYzooSygrTVFXvHf7lM7vceFCgXOKridaYHsCHWURqAtNVRZUVYEuP2Tx2Q871basE4PF4qPN2T+LthGwurV2Xvv0a/z93/p9Prj7KGqsjp0tbgs6xK2QEaBhUEhDwhA7wZ/KwyDsuOn7sxYWuc5Y+u4GBOc8MTAoaulvxRBzkwkDR7dOoQVnAIQasMD4HoNBV40uFPIJ2z1VKXpmp4Fn+znHYGv7Os/Q8qMM4C7L5jAezTE4Ogf/DZfJsTfjzzPQGYOe4MjJGOn/kABRAj9hw/PngxeuHmL5jkCM5UGAYpDwExcSMBCyYO8tRWGYTSaiJCBGhqAMi+Ua6xTWpSLOdlA4wg7r25m2a88b95lhyqgxBeEAMXdTfwQGaD6oFSMnATEjZMe5m+3JWVpKRcZi+V1pjYvaex8BT9A6mzu9A+eF0VL82DGbKbqHfPCRV0ZjTIz10FpS5ULSemKQVjhnMquBQCkFwBZGiM7K0gjoSXEIzmJtjzIFOMt6tWK1XErdoBAyb0wKSE7BuBJfIizHyVTvnZAulWVFURb00fTnEXZJCRwWwsQyZlcFhO+kLEtxyYwmuYqWDBetHj4CPhGyUlhUa0XbNpmMCiWukLaVgGQfpAqzUtLvopSA6a7vOHr06ENpfdttvrfHxYsX8BoePT4mxGKoRVHQNI1wQJgilx9J45gL/cVW1ROSu6ZPQfBohBgSjLYURoKOFWKm/d4ff49vfOuPePDohHv3jzi8dIU333wzM5OGkLIEDTfeu8G6+Ue01nHn7gfDnMkWp+hrjxlsP37zLS7MJhxevcSDo8ccrU9BFSgMhS6wpfBLadtJUJ8PhN5jW08xmdKbgs53OOcz42l6n3mKjv4dN1nvw4Ynh4XoCohWR624c+cOywcN88oy1SX0QdZzEooh0Dq4d9xw/b1HnJ60vPTaq7z43D5GKawdeuAU+KCZX7rAZy8fcuuW4/HCMp8X1LWirGFeVdRVFekidmiof5btvzws84wtxU7sYoSFpvdDFlgk6tsVnBGy6Ube+jjzSMdijul9piy0tOVlQLSjd2eFzll4MXy7W3yofJPtUwdhm1K4pT7T2XE4e69zOpqMNTt6L2Bth5lkfNWdX21AZML2GDzjHNs4LJDjEcffb1sch+PDRvDzs7Xh+ptK4oB2k7UmcyOhxKeuA3gNKY40BAFKKvL+EJnhfUBpL5xIKIwP0aIoBZm990yKmslkJiAqKFAGZUrWnSUonYuDy7imuKWNoTpnLMPOuTHCbx9irHaNXTp9FzZ40jwa2hMBj1exREMAi1RktdHc610kMgqxRhSWQMAGhWP0YhiEj9T2cEymFTl2Nw2VdyOBIP/LniLCykeBkM1jQbKqxGITs66MzvcbYg4iMbtz2L6jaVb4XqpfG6Mj+SBZmKdCnZLO6yULyxgJnjQaoyP3QyBz+aQYgrIQpk0ba42FINYBCZyEpm0FpyoJ2AVi5d+QN8hkBVEqUBSK09M2xsiIrzcxPw9xBp5MLR5BDygeHj3KmVMfpe1Nap67egVtNOv1WmIovLi1JGhaiLKWy03XWXo/3kvqsy4MujA4FwFPhvmSoaWNw9MTfEy7d57j4xNef/1NinrKN77xDdreY4piMIGGFGcB1nk+uHeXoAymKHDeZhNwyLQAUFYln3zlE9x89y3+x//av8rebMZ/+Lf/Nl/5hT9POdlHlxO8Esuh846+ayVoXxVM65o333yTz37+c9R1zePTYx49PuK3fuPXaZtV3nQ/+lKWpgTxUdU1mjYmBMg8s67P5udHa8+tew0PHy6oqylf/OLz1JXG9pH6zAzL3/tAv5KNuyhg78AwqWBvCnUhKelqfP//v2/nu/J661k3kpWmtMSU5c1g3OL+FILPc2OQbSMgFNJ+F/ILi5joXOtB/HpTboRt+0bSdhW7BEy65xiEbMxeNXTgWawrH86i9IQWxr+qPEaibO/YxxKHGlsuj4948+1nHaxYqUebUn9QWs654pnBi+M+sloppYYAnUjXIjFeg2IcIjDURHbwuO9LNrOOYR8xkB7ETWYQmgdidp8XhuUQAqYomExnOO8JGKpqwt7cUJQVwSuCIyvgzz56T4Iyw3vKIxE2puVUIYYAAQAASURBVFkenQHobY5bsuqQvT9xHLZ5Qp7Sngx4RkUfg0pxTFHgED2ayoj27yXASt5TXHCJU4FY88e6aJ4Vy1Ei2EuIUiriDpH8IQRRUSPaFKuNx/kh7salIOQgpGNpIgyp3B6CR3uPchbbtQRvCc6K+6ko8BGYlJFxORP4KUnznlQ13gmJoouxOK7vReAGJ5V6R/WjdGQS9s6P3qowMO/v7Q3uuxDEkhM3V+eGUg1laajrElmIkgmWBHlyySX/dgJCRY6XgS66tD5qM1qzN51SlCXrtWTVGefY29tjuVxm8LleN/mcpLUEPwBOscJ5XNfhrBO3J6JVmAAWg8KQakfZ3lKakrZtaHrLZz7zBf7G3/gXuPfgIf/X/8v/Oc6TaKSNbiTvPV78o3mMpKxIDIJX4Lzl/sMH9M7xxz/4HpOq5uRUqqh7bWnWJ6jCUNY13vcEPNP9PfCaVdMwmc+YXdhnMqnZu3zA1f55/vDb3+LunSaXD9ktDJ69JT4oiIkByuNUoCsk6B0XWHWO924dYYo5r71yhbrSMQ4NUpZy+t9ZaNeA8xzsaw72oaoUZUo4Uh+1p/+/257kAo7qRQQH+uyOvXkl8kadLDYRBA0KTopP3HGvMHgwt22HO2817uSZXo9nptr4LImijevk/p5/s/E4DXGGw7m7JOD29baHWmmdrZ3DMep8JK6H8c/K0DO1BPK2WnyOwPB8Z2KHRtrBOHvs2Vq8fiDGbaozY7dR7SR+pdgMLldREfJeFGNNyNnTKTFARStlii4IiW4iBCm0XRj6WDKprCfY3kVjhsQSinc9zYs0X54M8J7UNqdomv/Dt4mWZfd4RltlxA5D8ZMNs/czdeyJgKft1uLiiShUtA+VN1afTJI+pu5phdcShOycI2gtPuzksslajJJg5rSqlEKrMoIUOcyFIYAxBVSmukvBC/pKlqMEhuSKsY5OIhX0SAFOI8Gu6+WCrmngYF+yfoygY+ccXT8UAU1uuMXJKbMrNc56pnuxdEK0fHnn0crgvVhcfAjUdcVkMpFsE9szZCMpmqbh4uEhIUi6fN93OGsxlcnPkVLNlRarhPcSV2KM2XidY+vNODXde0/nPOvVejN480M2BVSFuAilfpelDhWXLl3KgEer6PaLfSiKksIUuMj1oJUUZ3VeLF697SkKE9/RoJUlqvy0KK9cvcpf/xt/g+PTFb/8y3+Jf/6f/xf51b/39yQ2y8i5iWRQlnkYxTkM5IQhpJ9iXXp09ADVtfzWb/4GynmcU/y9O/8JxtQ4H6Jf3se6bsLdopUmuIB1nj/4rd/CGWi8xQbhSCqNGdbohob65Pip7NrMT5E2sAhiMdH1IQUabbp8CNiuRYWC4BVa1RSxC8GDtdDHjFKt4cIhzCaaWQWFGQTbfwV0PnxrOsuibRhJvXOP1SFVNpeEDRVGwfZhBELyvr8xec6YeFR05W8futHOdGfzwCS/koIly+MpMyGc+SXHZsIOQLCrG+PLhe3fo+s53iKv4ZHrP4rIHVdTG66h7VjC3W1H77KR7azQHK/hM7vpxnnP1rLMCmH0bPnL4f7p+2gJSZMlhEDQIbq55DMfvFh6CDFdPXJG+cFwkDI3pX5jSaJi6X0Lx495cP+IxWKBD0KYO+Cw7IM58+js+PwMyN34ZQDbm4el+F1znlFSzlEjJWLnTZ7enmLhCagRNbf8I0SAjoALyMCjIYibRnyAEU2O/ktWk663FOUkusIgZRqcjf8bVZ3xUTPyXuoOBRFiKTtpebqg7VoIc9kr4qZirUIpK2mx2oO2WO9ZLhZcfe5aBhld14m5MBH4KalztVqvOT094fmrV/HOUZWRm8aYSNoksyJVA1fzeeSekUyaru2Y7s0ECJRFTPUNMdhMQJZ1FqOG15AErXPROuItXdfKeOSsLXJ2VH6RxjCpa0pTsF43dF3/p7LwoBTTqoqamuL45Ji9CzMODg5y0LQ2mtVKyOaMKeLPCmdbnJPFW08mlEWFpaPrLIoijvugGQYfYjaluJP2D/a5c+cOR8en/Oj1H/OZz3xBLG8mFvAjbtZxjkmKYgS8eRMfM74qpnWJCZ6yNPzKL/9VLl28xG/8/d/Arxxh1TOlwATRlPYPL9F3Lav1Ctu3KF0wnc5ZWM8ieB71PSsFpRKyu5DoCLIGdHYjJvdGxkUBRVHivMEHg1fD/w4DoQDXoXSgllxyvA/Mq4Ivfep5lq3j8XHDcWc5PJhRlTqzslQF1HtQV+Ky0gHMQP/0X7WP2Jzt8TF+LihyXE7W0mNwb0oRDiGysUPWrlNLv/mouWZr0ej/wVE62uRHMS+7LRQDMEbtEEup3+dKpuGPdOedgGxn3v1wZOaqeoa2kVwxOudsXNzZ886DQrv6df7XA7jati6Nt9BE3vi0y4Ys3J/cl+3C02O6gvHnm/u4z94QooU7BOFkUsHkIOvghzgelTi1YnKMhH54oY1BUSrLg3t3OT09QXh5LA6PwmPCKFZJbREsJg6cUbmRsDVNUv+IymTa+9SWbNqIF9oxrirFF6Y5Fp89T+VnnGtPBDzOG1yI1geVNJTkKtB5Y/cR9ARl0KaQi3qP14FCaagN0+mUo6Nj+q6jKEqgiC9cuFRC8jlGhkeJHJfhST7wsU81uXH29vZYnJwKz4dW2ZqUYmiKQuoxBQ9lVTPTMlFMDCa+dPEStus5evSIsiiYTCYZSGitWbct2hi87TKl/FBPS8eMtcjnkeWdwjv5XOpLmVx405QFpiyFj0cRrUSjhZ3H1MV+BKzrqKqaIgY+wzg7SvqhtaYqSxnb0NG23Z/awjOZzWQiBs/jo8c8//Jzws3TiBtnUk84OXlM3/eUpRTxlG2hwPbgnKKqSspywpq1uI8CwpQ8nvAjhdkHT6EV1nacnJ5w794H3L13R7RkY/DWYnTaHHys1C0nJwYnHQOVJZheFv9sOuNjL73A0cP7/Av/4n+d+XSPH37/dV688BzPTebMgkb1DpRjMimxfScV6Nctp8s1z73wEp3RnOD5wzdf5w9+9AP6FODHZjpmmqc79vA8d4OCV155lQ/uPWax9vig8cT/Iz08cfPaswpj5bpGK2Z1wbQquLxfkRLfOiuLWdekAs5xngSmdZpXH3k6/FcNSVenj7w96d0qNkqCyMYe4l42BjsQVAoDIEUGyP9JsEV1Ph0/aNfbbQvIZKBz9uhdsjfqMGeuuH12ghM7rzoGV+MD1Jlftnuzs42Vg12W0e3PsrI0suxuKxpPu/cue1RSgoe/5Zjcv1Ffz2/ZPPKE5zizK0QhPlh/xj/H1w55qo0sRRGBK6/zywxKlEBNjLmNSUPT6QRTGNp2DbpAKcdqtaJplmgkk0ths0I5uJo2+5HdoyGhrGHGpnkuky3kvSyD4jCMbb5iOKdAsxLOrqwo52PGMiT178mb3FOClmv6UKKDxnqPDaBVhS7EvaK0yS8oBNBFQdCDD9HhcARModnb24MgmXNFUQr7anwzaUBDHMaULCf1e4ZgMgEYwhqbIs6NMbGmk6Vtugw+rO1RSgj0VK2o6wmT6ZSDw8M8ifq+pa4qDg8PCd5TVTV+KtXg5/O51KhCinMqp/OEFCOCykLXWompcdbmyutKD5NRK402hr5rUUWBEolNUQiJ374+RCuLMRAig62QDerMcZOz2pTKbq7ZbC+On7i0jCkoiyLG8HRSuuJP0aqqIsXkPDp6lAO7+74Xjp3ocnPOMZkY4djRJTqmCAavsH1gMtljoRe0jQWVaNrEJBtInBGM5qrnL/zSn0NXNVW1x0svvUAXSRt914lJNzW18SPWO9rULpVS3L13n/v3PqBQ8L/6N/8mB/N97tz8gDe5TmU986KO1poOrcWieOnSJbTW3HvwkOqtH+NUwcpbTmxPIgTLXU4Le9SGRb25ENO8uH//PtZG5YEUG5J2q/RUOsbObQYRqqgMpFjOcuRZiyFtQvtQRij4/yVgZ+yY/GehhRBouz6vwxSnt2tjzeBjQ8sdafRRAoSkxKV9Lp6X4vfSfNktWM9abTZT0j96+3BX2FLl1dnfz2ej+ifUxl3aYV19Wk8+6ox7dkP67jsMwc+DpSd9vj0HxgBIgPUgH70PeDWQs8odo1wNKa7Ssjef57ANrWQvOj09joq61PUTo0MClRu93bQ85fd+dhDC+V8NWIgBqCuS8roLnIZNsk6VzlSjLpwPNFN7MuAxcywaFaQmTVHVlMWEQpvBpBu7kIJOPRJ/47xHUUBweKCqJkiQawvBkIL3ksB0TtxgQ0XxYWC889hotVm3LV0vgMc6R13XXHvuOUpVsLd/QKGL6JrSVFXJbG/G3mwPYwqquiYoRVlVBDzOO1TwNE2TA5bFKiM1uqqqwnfiOnLR2uK9uJaEIdNHDp8hYFm4aiogsF6tuHjpUi5XsV4Lkd0Qr6M5Pjnm2gvXSEGvPgZLaTVkjaUA7URaGIIEQA8vQLLRytJQT2phgLaWtt1mHv5wLad2a83i9BSlhtRz730GRCmLzJsiF3VN5yfCQqUU62YtxS5DylRQecGENCbB4WzLJz/+Ki4o1p2wT+/NZ9R1LRljo40gR+yMQH+upxOG2Yk2+ABWwd1Hjzk6XWGM4XjVUATF3ZPTbO6d7U3QSvHurZuRc6jCLVdoU9E4i5nUBGPA+Xz/6LhNXWDkBGeI49oc2+VyCXoCJDLBHX59FF1lyGrdOW18i82Eln82gMOzNAEUMcsuFkj9L6sJGVvDG2+9y6pp+bmf+WJ0CeQqVzvOGgTReV9vBCmHJDSG2J7NzKBdbVeo7Hnz4uka7xOvoEBl1zCMmbfz3E6HBkbV0J/Wrz/bNr5tuuOz8Y+JQnG2PXu/dy/J8+eHWOR3XSeK/cBTLFXSEo2K7JljMD3Ed6Zrpgxn4eHxzGZTSahJyhSwWi5JRoYcOJ5qwezqazZfh83NN6+B9JHa/JtomVIJjInXKOl4KdYtH5v2w+CyJTRd48wQPwPyfDLT8uFzMasmQJBy81UEFAHJ75dsHQ9YUuS1Iqm2DqUMGmFVXq1aCnVMby191+O8y8UwnY8Vo2MmVxnLKrjexhRnR28t1WTChUuX2T844OLFSxBgvW6wzjGbzKhKiTvxweF9j7MO21mxeDhH0Ip1u6brWkwrwMX2HX3X453P9cMgki06iw2eejpBFRJHorQerbKQLS4qIuuikHiWxKEDYLShbTsIUGpRx4uiYLlYorUZ0u6RGCG8ywHUif7eaBECRVHiHTEDKiCp6R6lA5NJlessrdd/uorpV69eoSxKTK1YLJcYraknE+b7+3jvc+kLa20W6ilLKi0IrTV1VdP3NldalyaB2coYVGFQMahOwKCj79a4oKhKiYuaTqYRSA7aSvzjbAXz9GbUaA0ola1LXmnqvT2mVcVD+4i/9Ct/nVdfeY3Fckk932MvltBYrFb86Ic/4PKlS+ztzSmKkr/1t/4fLFcrgpYMiafpsR9KZIcch5ibVwEXadT50xnsnnTbM+2fBtTo+551s2IS47xArLirZsXedCbUFv+UQU8IgcVyzfu3HnDv/hGLxZKvfvULTOpyMLrFjV2pc/bYHZ8JCB5lbWUB5UcW7CFrZ8tQtHGlZyZAeHa8c87JRIv2+cJ3w7ATyGEIf9Zg5+ztz7/HswUvp2uMf6a/xtw+T7AQJYvD6P3Fb55wzye/lKQsCVhReU/cdZwo3+I+HYON5HUhDNzQ3nvJwsIxiUpxCEAkET5dLNFKKgdkF1UCL2OAM3r2jbgrxeaY57UxxKENfU+Te7DxhNG34/FL+D+we7Ftl8l5Wnsi4Cnr/ZH5TIpy5g1ZgcKjVbTUBAWxxpR3PhcJTBlbzgaapoOw4MHDB6zbhkk9YTad4hU0rsc5qZPjnKVwJdN6woXLFzg8OGQym1JPJxTVRARXkDiZ1WpF01mcD5S1+NlTMLAPFrwjWDGHuSC+zK7r6F2H6UwOBPbeE5TPxVLLmI7tvGPVrpmZKb13VHWN0Rod3RCJ2r5rWgpjpA6RlRISTaw0rbSW4osRKJloqdFKs16tqYoKowwYKTbqPHRWrDNaa9q2jURoCpCAaSG+M5FbQTIvpP5VDSjapmG5WHyoybDdrl17jrqqCF2gWUvWWVlXXL50KVvCpH+dAFstTNwZACELbTKp5d2O65ipyJZdGAF4DPWPtNaYQlOXM/YPrhC8p64nlGUlpHAMmnGybIwtImmcYjXL+LEsMk8A7+j6lhA8677h1v0POLhyGVWVrJ1DO2hwmOmM5z/2CQoF8/09ea7SEHRME0dKCGb9ZmvBb2wRmypO/ChZbVwUfCGXLglBrH0heKzS0VX8Z98C21vMqLL2P4H7bdw7iBvZmGEb0lrTtUL6OJvu/VNBXmljXixWvHv9Juum4cUXX+CTH/8ix6frCJZVVsxCCELIN8rbyanqDDaYwQaypfXChkVnADeDAB2zK2+23YL+fIPGOCRgdNAZQaGi4GTjudhFwHjerTYOCE/q1JNP3+HG2XWTMK5Vweaz5VEKm+ekY8PGR2Hze5VAz8h1s9W38c9ncZ9t9GLH8w368ybUGnJOR/ArhBgOQAZH5NkmMaqJRydn5IWA8xbwzPfned5phFz1+PiEgdBQWN2HVJBNSAKpQPcWMNl4RoZXsu1qUvKPH+88IQFVD9szLJIjbt9A9IYPN8eeCHi0KTanSGCkUQdA0shkcEV7Dt5irbhURDt1QlUdRAj5oOmc5Mx6LZWb0VDUBZNqyrSeMN+fM5vNmE0nVLpEoXDRNSYgSjYER6ALnlXX0raSKjyZTEi+dus6vLNgIy1/CGhjpGRETCOvouk8Bb+l2k+Qsqgcq/UaZTT1tMxCPgQpiChuG0XXdZkIUQS2kcwxhLCQeNy6aSSGJ5a16K1MTm0MwWthvzReXDBYptMpi8UCpQ1KFWid+lDK+DMU46yqSko5KFguGx4+PPpQk2G7Xbl0ib3ZjOWyp+t72qbFVAV7+3NcbxEaAcVicUpRKEIwmbgxThpAarIlN5hUkScTMOoUg6VVDMAdGJIn9UQy4wLURYWO7ykZSa13FGM/MmlejhdYOPPDKc9ytZJ6biHwnW9+k+//4R+BV1I9vdD4ZHL1Hoxkzimj6fqegCaV6POj+6jRaiHFEj1BYqvg0arD4SBobLdmVlcsvaMgYPDCuq0cfQh4LVxNp8tG6poVOgdw/2nbk3v6T6YJOB9aEgSXLl6iaRtWqyV7e/N/YvcXRS2wWjbceP82XW958YWrXLlyMZMP7s0q7j86gTDHWo+1UV9Npnctszn4jR1eApSDj3MlxSduCksQgeZDmj2D8DwL4D/ks3FGbOR7n1+1++yZW+FwW8em/g2fDg6MD9/ns9w+m79vBt6ngN6tc8N2zEm+yGa/VepvGH0/knb5cmf78aR+f6S2w40ZMcEZ68oQpCz9T4BrACBBZN0WTk0FsauqYL63h+16glNQGJz1NLHYtPOxjlb8GSJrMxEcyW2UMD/nm0h/0ghH/UBmwfb2DEPftx44WbU2iq7F73JWV3p0JcaX8+byee3JgKcsBhwX8yvVWKsJIQZKBSH9cC4yOjqcl4BlHy1Ae3t7XLx4kel0yqc+/RmquswanjYx2NlIBk9WypXCBdlMnFdY7/HB4bwVwOM8p6sl94+OUIgW7DUEJ320Vqo646U4o4nmAOscXeeoJxJ3k7KyQgjZugPk4NzlcsnefI8uFhMtIhfMsAB0tmqMY0vats2TVSmN0Ya+73McjCMyEgdQSqLl0QGlTDYlT6dTuQ7iFtTa5IVuTIG1Wp5RiXVoMqnFhdQFHh8df7jZsNUu7B8wm89ZPzol+KF6/Hw+58G9+1SVjNNyuSTFHozjdyRjKjDfm2efch8ryKegb6VUrI2m82aWfNB7szllWVGWNQ5LWVUkc2tAzJl+53acZyjJnJr0NQmOFkC6X0/p3YqpgqlXBNdjpAANnbdQltiy4LhvWBPojd6siRR/Pst2N2j7g/Kgo0altUdrKV0yqUqCs6CHQoVOCbgPSgITj056jC5RKjCbGiZ1iCno8R7b1qUntP8ygM64pfXS9b2A2zgJqrKC8p/sfU9OFrx74yZaG159+QX253sCbEcCpjCpLlvIwEVkZaQiiHtgAuIZ2KR9OwqCzBq1w0IwWBy2LQrP+nbCTrfDk45/1re+ARA2qn+O191uq9OHbc/+DM92rw0Dw7nfbn6SYU/YXETnAZ8nBkV/SMvP8F7ivnXOeITxsSHE8k8KgkapIOUp8hRScY6KEWI2q5lOJ1FmiOLWtB2Pjx6T51G0LI8GIw9Qcp8J3SGbU2ljWkVwGl1rZ1q61hagPqO/xuuGMcBV54PPp7Unu7SMGenLqeTBZskIlJdCZbEDqXKx857OWSgURVlR1iU//dWvEkJgfngodaeMvKQQNE4M+Jl8LQc0216uKfoPLoDUeRQTXec9nRWeAV00VFUdS19YCUpWkmXUdRbbt/RWiqdduXaVvfk01sgahjgR+I0Fcq5dFeuAlVU1svQMgdddrBWljaS8N12LijnCZVlijMS81HUtAdLppl42S6Pk2XSsVO2DoqzKCCjI8TFpnBMNeXbrKEVV1UwmE6xtOD45ied9pLnBbDKhmk4ysHh8fMyla5cpi5Ku7yW90UhtLdmshGpfx+Kuaa7U0epmeytlPUaTOs8l+SN/FkJgf/8AU+0znc8pHUynexSFEFSGqEaIFnF2lajRzE2fpBWpEIE6n+2xXHZ89tXX+IWf+gq6tZTOc/r4mNPFCRdeeo5VrflH3/4Gb966E7Pn2LjXrjTKsHG38afpZJlXr7z6CkU15c3r70qvtMKUht72+Gq4rk5p/NFKWJeavusJGJYrxWotWZGzPU1hHNOJpjCb4/vPetvewD5qSZRnbV3XcefOHT7+2svsz/cG8L3VhLNECedY3HhzT8Pmbr0BaBJADYkUc8jLSup7sipnaDtyj5wHSM63Muz4Tg2yJqc5M6ybM9fYeWVGeEZtffhn354myMbum2eVedt8OhvXG0HNsP35jnOG/p138yQbN8/ZFVd0Zr6ds1dvA6ww2scEMAQplI4fWVYGd36yZIoXoGQyqfOYBB9om5aT48eAgJ3EaiwTWkYm90uleT4agzCG5iPQtgu8jMZpDJjyPN0x7Gp40I0XFUb/Pmt7soUnbrQeYQDWygjxnlKjqG95pK7rWK+lsrcpS6hKJlVJUVdoU6KLkmAmLJcrVq2l1oZKmchUHAS0eIf2ZPObuJ1G9WgkhwkbLT7eO3wQN1HfWgo0s2oGBLqupWlWLJdLTo+PaZsW7y2TSc3Vq5fxXqw7CaB57/EqBkyXZU4BDyHQNM0ASqILpqxKupwFNZAPaq2pagEdnbUZvBgjGVd91zHf26PQhl5rSmPomhWFFv4NrcEEjVMahxbmYickjTq6wUL0sw7kjclyIKnks9mMxaKhWa2HGfURmlGKuq5xwWOqmtPFKc4H6ukkg7u6nmRLlgAyZI5oBPRoLWzWIWC9xTqb+6pRBKVJoamKQeg4G6gnU+rZPpO5xJJNJlNE+HiUJ9ZQQ6qWB8k6CMrLLNEelJQVyXuX90JgFQL9uuVxd4TvOn74k7e48f4NJpTgHCoW8bRv/pAwq7m7OhWXYup5XsljQLXZkoK4WTRveA8KqXpf6YLgXQyyt6iqRFcFSvdiUVVC8JgeQmvFC9fmWBfoOkdvoe0C3kPbQBs0y2VAa8tsZpjUGmOGGfLPGv5J77uuqqcc+WfbiqLk05/+VK6/d14zWtyZfWcHQBMSF8pQ8yhpxyGQg+VF0CRVLc0WeY8bwCht4Gem0qYY/rBK7dhTkoUupDrkZ+608xpp8WTL9Ye5f9j6+8M9w27uHZ+fZbz37YqpeVrfVF7DWa7D6H3kY3c+z/mQMYEBP4pX3O7bYPnfhXAG4HN2DINYxEnAZrR3ArmWhIJd8VdFKSEHErQsVvXF4oTVail7pU8ZWsN4nLk/KdYmPbaA6LTHJKyUxiLV9BqP0ubc3Px9c0Tivjm2Io0G6rxIt/Pak6ulxyaCSeXSJU3TsFgsOD09ZrlcgBL3EkrxiU99hsl8Lm6awuAU9NbRO48qGrxqaW2gCIreBwgWZ4XrwjmH8iGzknpvo/FsCANMViDngjAXO0fftvSt49QtaBYN6/WaxeIkCjvH3qzmuauX2d+fU08qTKFJQaJ56CIKToR/KVMrhEDXtuC9pOMjbq/Z3h595+jppKRGtERVVY1RRq5hyhyfYwpDXVV0TUNVlOJeI5a0aBvm8z2sUgQfUN6L2yxIOr8xJaBiuQwd+6iihQexIsVWVTWz2YzgH7Juuj8N3hHrTF1LNoCRmlKBwHQ6zWNXluVGmQtjisxWnRa9VhpjCkKQ7Lw8r9TAaZSLrEZh0HVCZlhPplT1jL5vYnFQn89zMUhehaSpeanDpsbLQOIp5rM9VsfH1NqwNxHg3VoJQu2Cpu16Kh1wvaXtJAC9KAu6haUNARLgGWsZTxvX8SLeCBiV/t67dx/0I3TcFOR5DIpBO0vB7UlYpOuUhaIsdB4v66DrpX5WZ6Hr4HTpWK4dRQGTWjOpYvHbf9ZQD5tCIX7wT8iGIE3rp189yfmT4yWHe9FKaWNiRmSTdyMhliFM1kAHoHPm2meE8vaR51syzmjApLlx/jFn2g7rwpk+Qs7SHeD6oL3vbrsXxrMCnSe7tc7eV42sA+cBnbDVp3Dmuy1oOZLA41ieIX6Qp679bdmyE7jkS0VKjvQw49CI0e8Z6KXasJpcdHmjT9kKJt6NEITuRRJIJjGeUpSkIhoH1s1K5K4fubPSYKkByOcPldl8qdFamcmSo9tBIZmmG8A9DeyW2/C8STu2TG4e/iE1AJ4CeJSSOJa+72mbhvVqSdOssV0vWSrBY6I2r3Wgt6Jdm6IS6wziegjxxXilaa1j3fTs7c3xvbhlXIyTCkGyaEJI9py44FLBvfiQConrxXkKNLUyBByubWn6BXVdce3KZaaTmrJQTOpSWIgrg9YSzdGu28xlkP5XEamm39PP4BwhOIJz6FLACzE9XVxMYr5u25bZbBZJACVmpW3b/DdKsV6tJcsrvrwQ4PR0waVLl3BtRwjCcKmUAQ+FqVEYrJV4p7qu6PuWsiyyhqNzITmxqsxmM5QS8kEfRIR+lKaVYjqbyqaukOBkpan29igKQxnjnQYyNol5kBpmQ9r4pK6ZTGralWfdrGMpiZiVFM+xRQzalip4OOcpiorpbE7jHPcfH9NYS++tcC0l15kK0ZIztqCMhbrCup6Pf+Jj3H33Xf7in/sFfvanf4Zf/c/+Pi+8+jGee/EVvNdMJzP29w9ou5bHx4/45h/8Aa//6Ic4Anas/bEhis5ZOMOv2xv4wCshrNI6xmopD6GzTKoZygaoFF4pKYoaPG5cKG98KyXXrDRUZVxDAaw1ec3kvvxp0O/TWtjqXRgJp1wFU+Vjh+OToiHWN0/g1t17XL5wyGwyiWB5U8vb+QQf4bHOgIQQcD7QWcfxScPtO/e5decDHj444pUX/3J+UJUzJkdWhbhv5Y0fUZ7GgcpJqRoLwDAepzOOld1CfBdU0uwAFSMwkF1aOywH5wKMMMyZQf6lC55zQjpqoy/P9nJ2gYIEAs66f0QSDOO4eY2z7j0Vx2MMRIYuh3H3x6eF5JoZC/cz4nvcseH9pq92WSdG7yHhFxnp9LxsAJ9dLVtDRtghgXRNAoOR585bIR3c2xPZ5AdS3KZZxwxah3dW4FcGfWoT/OSbb/LzpPtudCqNmhqRpqrRWg5h55iPH/msFW888n/GgOfGe++wXC7EnaJEsKsgwZFFQMy5wUuQsJINuW0b5gituvPgtbimeuuwPtC0PcvTFZcuXIgZO2KtcdZl0rHkssF7FA5CjKeRIYjBUGAKiYv5wuc+x2q1gghgCl1gbU/XtygCVRG5c3JYd8qqyGO5EbOjossu3zNA33bYSUUVTYImxnMoLemcSmkWiwVXrlzBFCZy5DjatmWyN0PFOJ5+tRLAFoFBUZScnp4IS3XTorSW53LQOxkHrUvatqcsK4wp6LqGVEtM+inpzGKKDBxe2KeoDCenx3Rtz3S2mQ3zzJOjKHjllVdQRoDr0dGR1BSra+bz/WydSTxBSilMJHCMH6C0Zq+uqeua1cmC1WJF5twHed4EkiIY1crgguL27TvcvH/MzXsPWXcNy9WJZL+4SEK1ayHmd6qSpZWyrLh37z7NesnDex/wwc0bNKsld+/eRVUzinJC62GNlgrlZYGvSxolws35wCjS4sxC+6i2CDX6X2vwnWV/fyb7AwqnFVZD8JbOBDrbPf2aSlyRpjLnD80T2ub+OsTUpe/63uPj2vFOSld4m4oTRgnrACdLTeji0ysZiOd1Kg8CFKWhsy0Pjh7yzs3rvPPedX7+577KZz75abQ3YuEMkhBVFEH4m6K30jkBSqrY1BYl/i9QzgzKjBQCNZC6ta2jqiQBoe0s79065jvff4ubt26xPF2wvz/lpZcu8ZUvf4692UTO1VpqBroxR5Am5KKLSXwxxO5EoJNS2mUsdwvq8VjvkgZ53m+oumehbBZAO174TivKWawVn+z8ZbZ11R09GJ+0oyPPsGxCEDbhJGDH2CFsHTf+ueNC+cQx8MvEeFvnjd1dqbNqfNygzw1/bBw99JOwObwbjx1BZVDRk0IKfj8H6I2fxUPQZP4jPwK1IXgMGhXIVC8+OPb357FGY5JbRpJbQpAq7NYOEyeBl3STXC9ie7KMEcqojxnkhLPHeM/IZBQ/V4PJLgTQI9tiSPGTW1QQHxLzPLlaervEmPRmR9U9w/h50kNJhHjbtFhr6boer2LqubPYWOOqaVqUV3SdlWsGSVnve0vwPSmOI8TgKR2tFvk2CZCEgAsKa4W/ZzopcX2P7S1Ns8qxOYUxUnBSRwBTaCJ2i/7PYQPMyFypgVE4Fis6Pjnm4DClyEpQrgDVzeBmZWRDLKoSj8T/zPb2MFpTRkLCRNqXSkd0XQfeY1SMVYoba4DoJqtYLpdcvnwZEUKSMVUURY6lyYgZcTlN6prHx49p2/YjAx5tDK+8+JKkzwfH6WrFcrViEq+fgI61LlITyHgk61Yg1hmKrjEFdJFTaLzBqwggXUxNVwhdwE/eegNbTChme8xmMyEejItQoWRx7kjBHLf0To8ePaIGvvnNb/Gtb3wDT0GnSvy3vkswBTZoetl1MAZc14j1ckujDdt/jA1LH22UBaRHy5YmlayIG/FI03PWnZUrT2nnHZrfTyQe67seax3LRcPpYkVQmrbx3H/wCNc7nrv2HPP5BZQy9K3FOyfzNTgykX3cFAyaUmlKZXK9swR+rO0Q8rMCExWRLji+851vcufBHXRVMDOKh7dvE154mdPTNX2ncNbTtQ2rkwcsT0/Zm+5z+dI1JtMpSgvLb+csEpon63P/0gHldM7tWx/w5ltv8/IrL3Gwv898ts/jk1O+/d0f4b2QaT58eMzj057HpyuWqyV/41d+ka/99MfZm1YM3q+Q/83abJCN17sRMMjWB1nPPmwWD93tztp+Y+lYtfHVBlPzudf4cG1w1eyeLRvi7dy5twPspG92gDeJmdm82HmKQ0gCZ8c3T7OCwGi8x0v5mYYrjsrIMnQ2+PjJF1Ln/L596niM8rYyBrdhfNLgAtuYi+mIKAcSsPXeE5wDAgcHB0ID0kXrowocHz+WmB4nWoQfW28y6GE0cAkMbWyKqdPDefnnNjxl85gzYzJ6X+lZ8gFbsUPbfXlKe7JLi7QQJPAuZddkbU0lLdITNJgg2nfXNFgvHDtBS5CpdR5lDM46lv1SuHBsL6BGnJEZxcuLCkBkX/Zklt4QAloZIepDan/grZAqBbEIVZVB61L87UH67V2MpUGhtZy7DXiSGyaVcTDGZMR9eno6eknRrB3ITNOJiydNXFMWKGPEpYXK5Q58CHR9jykKkpm163qJy1FscNGY2I+6riPPj6GqSlYrIftbrVa59ITsvKn/itnejMVyKQHXHDzTZNhuGnj5+eepJjUhAryUkVVVFavVkqoqadv1xma+kfESAi54YWyOrq4oyuUe42NJp3gClkk9w5UFuhINuqolT1k2Ao+3ws6s9c7lFJus1ueef57T+3d57ROf4Mtf/Cm++/0fcP94ydWXXsPriqBLysmU9268y917dzBxXP3YQsGTrDkfVeAEoXDwnrbpqcsZRpcEukG7YbA6fvirb/yT5/qDh8e8f/MDHh2d0DaW0pSURYlShvn8gEtX9ult4PDChMcPH/P6n9wg+OtcunSZyxcvMptO6a0EDSlctmZIcH+QmHEXxOrqY6XxYFmvF/SuZTqrqOuSQguX0NzAa1cuQlVw7+gh3eNjfve3fourFy/TL3tOjk84PrqPMZbpZMJ6csCjO7e5cukatu9ZnC6kbl9ZcenKZV79xCc4mO+BEeBxuH/Apz/18Twus3nN55tP8PhkxQvPX2F/VqO0ZtU6/otvvcmnP/EiB3ubikJv/QA8vVigBxd8EjRDvOEQ/TK2LG28mSe/u/Nw0S6lP973fPyttn6evfTZb8LGtyLvkptiu6/ng7hda2YXCMrd2wBCYbesTGc/Bex8lLYtYvPnI5eK33i+Xcc9uZ1ho05AKtsP4lVVyOnbqXMyq2L8Y2DEKL8JXLMb1dvoCZCkFpm6hkCBd3D79gdidE8WyDT+W0Cf7bn7zGMfBlCyAT6fYL2Cs/Ngs1MDAAukCfXU9uQsrVSKOV44aZ6JNA6l8GiEY0YRCgNBScqsqSSd2QdQGlMatBHrT3AuloyI5jfv8H2H923UYgNFadBRNVRIccTEQSPpzoVo+YBWE7yzdOs1LpL8gWRYSHCWZPUYoyiM9JdIFOadPzNBtRZCvJSeDhKLE0KIE1Fl1J/Tw4Mc4yIXUVAKXWjapqU0wmcksTAK6xxKaymn4SVozMWU98FyJqb6ZGlaR2KoKqbEd13Ho0dHXL16JRMhopGird6zN9vj9p27nJ6e8vwL155pMpxpSnE436OoSqkppTVN09D3PZcvX2a1WlKWZS7YKnFKYQA2o5io6XRKIJXr8FLUdWQdizeMbkRx5fV9w9tvv0MXoKgnwpOjhdsnxEJ4iZlTsbkJjR4hX7cuSz7xiY/zl3/5n+Ph0WNe/viEv/hX/wWq+QV6r1DG8MHd2/x7/97/QYqlxnPzrrJx/bGI2NTKn7UJpI8/FfTBo+uazlqqUmUNRimDVmSL2hOvGTc+H8BZT9tbHp+uadZrrl7a50K0Uv7kJzdoO4VWc0rjmE2mHBwc4EKgnEyYzA84adY4Fbhw5RrXrr3AowdHPH5wxHfe/mO0tXzsJQEFWgcCjuhXpevWTExJ6RWlk4fUrsf2K0K7xPVL9qqr0DsWx8fYrsV1a1QBdx8/xGqNc5aqnLG8c5eHtz7gzo3/D3N/+mxJkp73gT93j4iz3T1vLpWVtXf1Ur03sTQaBAFCJLiI5HDfhjMaihozmQ1nzEZfxkbG4T8wY2Oy0ZcZSiJFSUNJBAmBBAhIaGyN7kajG+i9qrqra83KrMrK7e5niQhf5sPrHsu5597MrAY1irLKe+85ER4eHu7+Pu/2vG+xuTngx3/iR7h/dMTulcv80r/+NabHC/CeyXjIhd0dPviRD3FxfcJkXCAlV7RYFOkDa6XgA89eSzpHAwQnk8Cli+uYTPXeMEBdu45QkP8bB2cU1CG0RG0htHNSTj/bCrL6WDWvVkCTXiDSg9p6f+bI5dE4v/eh92sS0A91dA0HDxKowXe6dDbUO/PypfbbgPnmn063Wlf2eQHIj3LvVYSCy8H7Kln0Vri3fEgkmEiyRlTiE5zyzmOrSqyqwYIKrK+vyzyM7qy6tOzdjTx2wXMK6D3KkK4EsaqDm9McWg2vW7Dz8HOlue4hX8G5gCfDNMgpxDgRrTQmWXeilUUphYvFI1U2ohiOcSanWiyYzk44PDpi7+CAg4MDqnnJ5voGztZkMdbFaIUqDMHlpGhsrUGbFhEKW7FYhaRqar+ona9dM4w6Vk8MSrhhlOpmZcSsFx+iL1OsQN00dKJ1Jc9ztNJYZ5nPFljrJdiLWP7ARNDnhIvIWkld1VqTGYNWWsj6jEG4GQ0mz4Rd2ugm8Hk2PWE+X7A2nkQSKbFwKTzOVThXM52e4L1tAJDWmv39fXZ3L0jtLu+jCV3KauR5RqYz5rP5o1j8eocCJrmkC/sQMCZjf3+fJ554gskkVWrX1HXFdDplY2NDxjdaproKwfr6ugCmctEIDeejkCRqNCr560WT0spzeVfACCZnMhignKScKxQ+uJ7W1fQ7xnzRWfy3b71LXlV8+Xe+yPe/+23u7x/hyHnx5R+wvn0J7yAfDCl9xcnREbnq8F2EtmhAb+tT3QXcPU5/Lu+g/1naorVSaJ1L8cXC4JVudeoQC08oTXCrtE65nw+wqBzTaUVVe6azmqOTGWiJJZsd3WOY6wbwuMqBG+CdYTQcs3tpk0uX1qmtokLhDIy3RswrsFUt82m4zuWrG8wO5/z+F77Am9/5Pj/7U59lY2MEuRCQbl3YoJzWzO7fZ+/Ofe7eeJfFyQnjYcFgoAhU7B/cY/rENfIs49WXv8fs+JiNzXUYDfDGsLm7y/Xr7/HkE8/wvZde4c6N19kYKLb9JV77g6/xkc/8OK9871V++V//KotZxfbmBn/+z/xpnnrscZ648hgXLu5gJgVqLPn4mclETVvaZ1tapS4QUoxHg5VbrrUh1jaSeAmvhPSzcYd3Xn8Iqnk3gdDEPT3oaGVn26uQ/j1jDfczfk6thgdek+4WelpyOP1bEmjLVpizcFwPh616/tUwqJdj2VjUV5x4xtF7tgdc18rMfk2zM60XPQvEw/dpdVPNDaNyGEMAEkDsAnS6rNKxG8md75uTOjtPiHUqa4K1eOsohjkXdnbEYIDIcimSO0MhCmQKMxFOjGXLTnufswchfuk7nTo1rzqzNLACsD9IYJ0D+h8APs8FPINiLEDBxJgao8hNRmaE/A0VyzKgCUZTek8VFLfv3uZwtmDv4CjWk1JkecZT166xNlljY32D9bFUv86yTGpDVRXO1nGzCATvYhxLaP621oJyCE2KhHhJ4c6FkAwaAUxaiablbbIARKEahVjtHdpblAoN4OnG8RhjMLFSOUrotquqpixrximMJ1p7EmeQc3W0TkhmV5ZlZMYwn82oqyruEwqjM8qyajPDosBfLErW19aayapierVwHblYo8u2GV8oyrLi+PiEra1NuSp4qebsA1km1d2nJz8cF0+eZeTaMLMzTGY4OTnppZ1L2npgf38/ZqhlDXj0gNPy/3BtTBkci7piYSs0OTR1iaAJrCIAKfgzUGSGnAxdDNlcWxe3qhc3p3cxcKIx+UYLGQpUJibb4KX8RFWh8IwnE7a2txkMRtx46ybzWzeZ3nwX6xQ1Gpsb9CDDqzYQtIVN7WbcxkyftcDaeddqcwk2RQthBFNKScCi8zUeh1dytVe+sQJZD0cHR827DEEshscLx9FxxZ27RxwfzikGQ4bDIT4ETuY+xrNV6HqB61iItFJsTCYsSrEibqyN2FjPqB3UAY6nATUPmBNNeQIqVxg3EDfOTLM9uYSyFe/evM/lT32E8daYwXZBMcp56/tH/N5Xvs67b77J4viQDCiKDHRNoMTamlt7e2yubXF4UmHLwPG9Y0zm0GbMnXffw3m4d/1l9u/dJ1hDVWn8XcthsOzOCt68fcLMZyyCZ00NuHLlWS5depZ8uAuDLXxWoAsx/BdFkeiYeqtgWdwGYF578jyjdqfjpebzCmc9Nsar+fi/i3MwBBU15W42X5+zpBXG3U2+azmJ8y6k/kU3hTpNFrhq5i07PRvQ1NnjVgXC9tWGdM++/FCdk1eFbywZdnrPBMsYSRbQSnnHEqY6G+v1n2HZ8rL0fQ+XJRc8nZTx9Ew+rL7fWcI00oI0pTr7zT3EkVyibb9kT4itdN9B1y0aWfqUipad0FXHFCAufx/pO4bjEaPxWhx7j1GaRVVKmAIebA2x3hYk704CXo8oPxpUFpZefGjbPWMs2u86s0EtT64zQO0Dunku4Nm5tCvWlpilExD2Za10RIlSfBNjpLJxXnAyn/OVr32N4+mMuvagNLV3lLbm/t174n5xTmJqoiVAAaPRiNFwyGg0FhAVuV0G4xHj0bh5cdpoYSMOUiwzhBD7lzUZTpmC4LzwpyjfsBOryIrnfGgImBKZoTEGZ21z37xDc+9iwPXx8TEXLm2DjQZepRrCQe9jhpmicU8ZpalqceM5vBDm6cSS65vgaw9U1pIC0RQJBCSyQbGkVFUdeRRynJujlGI6nbG+vhbJE8WMGRB+HJOZNqj5fR55njMYjbh37w5aKQ4PD5uAaZNlhEVgMCg4PDxkZ2eHIi8iIBZLj1WB2lsmG+t4ArNywcl8RjEeSxZeiEI9xsskfoIUD5EC8wieIosxPFHgJ6W5jZQAySgAlMEpSXNXOD743HPMTw75yR//cf723/rr/N6Xvswv/nc/z8eff4FQBuoqcFJbfu/7L7Hna6rkyo3KyKmtLnRBz+nvTqnaSYKg4h4mpUAybUSAIuUVfPBizWwEnJAz1nVNtahEKC8WHJY1B9NAWWtM0Cg9QWWK/aMZbm8aLWYRNOockw+6o4TRhkE+YDIeo7RiY63gey++x513j9m/c8zJgeXk7ozFwZxyLoHm0i+Y1TOsz3ls9xKT9XXeu39MsagYzScUw4KQb/LH/+JfpcgC2UCJIdgQOZKE3EyjUVpc4LItSpZXlyHWWU+1cNzbO5S6dK5mmBv2vaa4pvkb/8f/iKP9I3QduG2HHL++z/BOxeDNAwbrYy4/vsl4fcTB0SHv3Tni+Q8tWN8YNNbeZejhgbmFvMiYl3XnRcbvvcIGKXGjEw+PF+sa0aKT7IJpDncFal8g93fmxMWS3tH7V1EefJzOSErZQe2kbc5Ylj3nf3zawrT8EB1FfBk09frY+fl+rNMPcwjIWH33sw08p79YTjZ61D6cEuAk8NPuMcvAtbn4zHuLMcA7H7MHJe5yNBzFUihCOXO4v89iUUodQV8TcLTwV8hc6VqmzzegtKDw1Dh1NtLlSRKW2l62GC7H56xGow/omBznAp7tS7s4H90H8S46cshopZvaTigjxRYzw9bODn/zr/91rA9NJHjtA7OypHYOW9fUVUVVVVRlxclsSl3XLBYLpvMZi6pmMS+ZzyTuoHIlVVk3LoG6qkRrN4bmxUSkmxmYDAcUmYHgybIUJ+OkzyYjz8WqlOcZ9+7fZTwaMRyMmvcwGAzJiozZdEZwAaNNtJxYDg/2cfVVNIqMDKPFlVTXVVMN3DUZWAajDfP5AucceZaLxSgIIJISDDKZrLUxuDgVEoyaodKiQToBM1VlWVsrGAwHmHlGXdWUsYin9wprJXMNFRp23vls8VAT4axjNB4ziYAqpd4nbqHEAp1luWTdoVgsSvIsoLUhy3OxkFkn45FlLKqKo+mU9a1tgtIo3XKViOUiaS1a8vSimTfEuB8x75mehhjOXfgSFP6D11/HqMDXv/tdstGAd954i4PDI25ev84wG4LOKbXG+xoTLIZlzbPVtlMeVWOdWoGGVKdPCnp/hyBAdm1tjfX1dd69dYegFJWtY2yaxKeJ8BfFwvtaLDQB5os5ZekwXpOjmJUB7w3aKLI8l7pzTqybRgGZrJ3BoGUzzrKMLNcMRzk6MxxPa/6b/+rXcXONdhkFBYMgcTg6SMFagwCe0WQC+Qifa24fHHHz8ACfKWodqJ1vgXtmCMpTu4pZOcdHbVEBw2xAnhXorEAPFPN6Tll7Qkw/Fd0kQNAYBnE+aTaGmlFuGFx6nCtPFVwJioKcgS4wKmc8KsgHBYeHnvf2SsLejMW8xoUx3/zG23z2c88yGBjuHc7Yn5UUgyEbowyj23U3K4UOADoyJcB8Ngcfgbm3BG9RIUSuFskqbVxbXcBDx8pxCjmoh7BgdJC1CjyKy6ZZHIoeylihQz9YZqyc6/3PHih2lk44zZcj/6T+pUyl0F5A8zwNuHy4+50CYg2qWgJ5K95H6Jx3RvNnf9d1OZ6F3lYUzBQLTZoiiWZDOp70MXwchRWZqoneRSgjPOOReFWck/jZo+MTvvzFL1IuFk1MZBNV2ENZq5IlovL2wBdA/5ye6a7paKdZRayT0fl8Bbx+nyj4/BieYohJQkVJLn4y3hEUQcXCetFKEazFhUChFFmWkw3F9bKWF2wbI+nWtGZVQZ5gg4varWh+rhYXkrO24dCoFhV1bamqhbx4DbaW8hEn0ymz6QnHJ8fs39tjdjLF1pbptKRciCXE1pWAMOexVUldVzFlOmVb2aYadyoGCNLHzGjKcs7bN17nW9/5BkorbFVTVZVYmJTwzzhr+dX/8VeYTNYJPrCYLZhNZ7z48otoo6lszXw+4+i4oChyqrKiLEvmiwW3b99me2sLEAFvgxKOE2VQWY4pcilVYQz5YEBWFMzmJfOypnZgHbHyumSQJZfc7TvviYnWvL8JsrY2YffibpMNVkWwOplMGI9H3N+ThTWbzRGqfahrS5YplPY4pUBLvEM2GHI0P+T4ZBpT2QMBscClYG8XixYZI3FizlsB3doJgApAdBumhfOgJ9O5wYaa2lm+99qrvPLqD8hcYOgcL96+R+4NWVbgjcEoxdgockAZJa6tIBuOxNZEV6bWAi4T6OkdyTbT60VvEw8hMJ3NWCwWIthxBGfJdI5WOQqNCiryoKSSKg4U7GxusdO50/V7lvv3FhRFQW0DZVmzsT6kKkvK2YIPfuhxLl+cMBq29amuPXEFa4HMkxUZVQX3jo+5e+uY6fGC2eEJxwcHaCcKj8mMgPY8EwJPA7lW7B3cRw8zRhsTpnVFaS1Xrz7Opcce5+j4hEU559VXX2Fzc5PKWYIyDIYZh/v3yUzG1SeexKqad2+/Q1V33IBprIJG+QGZzimKjCLLyHWOVx6TxTT+PEcXA/IgJKRrgxGZySlygzGB9fUR47Hh0sURn/ojT1GHwD/4f/xXfOt7N9C6YHNzErmtgxQt9Z4Xnn+Gw5/5DFcvrXFxc8TWxojpdCYKSYgZc8E1lslU1y5ZDRqKi6iQdUFPf6o8KKB3Sd1dcr+cKWt6Qru9Rwo+TvKiqWvX68LZ/VkW2N2//JnfPPoReignfdb9LeUQ99faWRabKLL6n8ZSCqvvv7JHDzhOP3NKqe8GI58GPerUtSogXHEq8tDpOENXWQlDOOXLlBge17jJJSB/HA0FcpSLknfffYe6liLbSgQhqTBuOxLLA0cHcJyFgjvn9v7utLVqijRmrZ4JqNVsVffej348oFr6CBVCLOtJa+5y0QXhbUuSFoKQclkn4zVUmCxHK6JmGrkpoNkImnTwEA253mNdjasdKgTyXKEzodovonUEtQ7BIS4h17oVghcrR2mxVY2tFgRbYeuKRGJYe4nfCbbG1TWzecmsqqnrknI2ZVGWkjFiLVVVUVvJJqvrBZWtKas55WJBXS3wtSXYSlxa1lJHwHbv7i1stAxlMQbp1Ve/I0HFvtVIlFZkJkPrjBA8r/3gFX77t39LLGjGoLKMIsvJsrwJUfneyy+yPlmTqvA+oDAUg4xXXn5RUu6jVUcHKMyAo8MTXn31Vaq6ZmjeHxfPZDDg2tWrssErMMqwv7fP1tYWo9GoYas+OjoSy1VIc0MCzK0XwKOUQuc5tXOcTKdYb9FBEyqJE/JB0n5tjEHSzpHnmQh6Z9FB6h8RM24gZSmcNfm7C0uyCTe3thkWOfPjE/7Cn/w5rqxv8D/981/g6voO2jqq6YJFgDvzE0pfsV6McM6CC5SupsJi8VilmQdYmAyfmXPuvfwzHnEPEUoFj9IBg8NVFhwEByrTBOViwLIieBetgHJ5Hcd2XnmsDYAXQKglRmY4GFEoR3lsmYxyJuOsMZMDXLi4Lozh8TiZeya7G+zNPKO1NTavXebopW8zL6eArO08d4wGA4rxgFwZLl+6RLEvf2MUo9qxtrVFPhhx9+CA6cmU3QsXuHzpMXYvXOB4dsLh9IiLO5uYMOf46Iib119FacVoNGBzY9zEtIUQa9ghZUm0yQTsZ1nkcRKKd6UUVivmscTLmhrg3RwTajZGm4xGI+Za4byC47nsZRZe/cFtbl7fQ/nADS18Ql478kFBURS88sYNfuvLf8DF9QF/8ic+wX/4H/wFFmWN9b5hhZc9rRUObexOx40V/+nFipyaLY0jrPn5oFm9KhTovPMboZuMPKcEUZIjjyZMerhLLX96Rl9IY3WGoFzRv7D0M3U1ycBVAOnUWPWsPafvvvpZOm08cGhU70dSmjkndursJkNrdVN9IHeaxiOc/jzI5y4l2iglxZizrFGKL1zY5fLlK/zglR8IMArJnRV7tmogOu2vnEhn+QJXtXOm3/CM2z5UNuL5x/m1tFQbNOy9IyStxgvfjjAWQ0h8nJFrR+cKHZWbJkXTBULSdEIqAJf6Lmg0eOGjcam8gg8EG/l2En+LT7u2JwWJheDwzlHXHls7vK3xtsLbmmDFFy/XB0xwoD2DccHa+lg20pjOLe6UGEjrPXUktgtIYcfkigpOMrLqSlxtwQecramqmoBkqzgrgcwpldg7T3Bigakry3R2jHWOeQxGdt5TlRWLxSKCLYuioi4XBCTIdHpYcvc9saKBZH2lwN3uog8xqDI3Q0Yj0fQHg2LlgnvQYbRmc22N4Dz37+1hvOdLX/wCL734HXzwnJwcU5YL8mLAi999kfF4Qp5lFLHsRDEWd+GiLNHAZDzG1hW+rshysSAOshynFKXJCNZLIDmGDAk4BUvwErMlFs+AiZl2kkyg2g0pagc6giwxwmhCUEznJWuTNS5eXOOnfuZnya3j97/wZZ6++gQXhmtQO6xW3Dk5pLI1ly9eRAcwwaGcBLMqkzENnlfvvsevff0b2JUBeGcAHWhcWyoI0FubjDmaHqASg3QsiCo7ucz16KWknAk1QW0tB8eHwlPkYFAY1jcy9o9qlA5UdsGNG1MywFclR0czLl8a432IZRpgf/+QnQvb0fUJea4wQ8X333qNjY1ttjfWoJB+eO8gZju6rGBq52gyjt95m7qeM6gH5IMBNhgObt9mXlYsFjVKK46mR/i65vjmCZJ96bn17jtkCkbFiNFoRF4U2IBwPUUG5jzPKTKJO3IYtMmx3mPxTeptQnAuxG0BRaVKMDm5hsPFESf1DKUDo0FOMdjAB4VGsZgFypM5mXEQrFjRMqicZlrlZEZTV1MW9y3X1wu8/3McT+fMqwrjVePG6gYkSwFi2o08tHseJMve6ZlyZnbUKoGQDDyrvAlq6fcOBliOBXmY42yZ8vDSZrXL6oEX9e7TtLAEWAht1FEvpvVModsBDR3wv/K8h37Es+N9+kazjr3trPiWiOIaW1wPZYUoM1NqYTsBTqWyp6yvkOx5Qk0+Ho8jHYq0M5+XHB4civS2NVLjKVnOA20iyVmPnoR894HPsvis+uwMVJloQLoI9Kx584jA51zAU1sp9Oicw9kaFYGIDKxuxjzEoMsmniGiS4X45BUtX0JD8Kc6iDRS9yvlEV56GxlaFcH6/hgmn2RCoyEWkYwVz9MmqLUGg8TwOAFHDWiLzwQOhQMMKY0v+A7bpLd4W2NdHWs/KbQRfh9llLhKrCWoQKYNw4HE6ahMmIPlPSnyIsdE15lWprWOKUVta4ndQMWsMI0PHmcjz4wXxuNEPOd8DJZ0DmcddW0bQrq6riXt2zps7bClZX1jh8P9fWxdi5l/UAgVfwwqNm0p7ZWHD4FCK5T1vPH6m+RYvC2p60WsfySmVmNyvvLlL0VrjbwDEwtwpkrxxuRoo7n5+mu8+PWvMxqNGY3GTCYTikEBUdAZYxgMRgyHBZkxFKMhw8GYqlygFU0siEfGI0tukBgUq4jlB1SIVPwS9G2t59Z7dwk+8H/+v/7HTFD4+YwfvPkm6xWYoHCZotQBE2BtOITg0cExGuTs7uxghmNmteVutcDrlKkHHRUZOK2FQXcrS+fE87y4GLx2QqeuvLiQiTE8QegLkoWnyDI2N9YYmCHrKN68c8hjl9a5dzTDBSHhHA8HrI/GGO+ZTKT4bJaljZFYkFbW48J6jNEM14fkk4KD6QHTk30hClycYDJk89MZNuRU1rE2GfLYlSug4ODokCzLUT5wdHDAoq6kfl5wVIs5xgfG4zWyPGM2PWbv3j0GmayJk0WJ0kYynpTGxTHRCkxMSlAqxgoagzI6xg1mcYyaLQeFwumaLLPkvoYFqES4lhvGuShrc+e5e/+IspwSshIVKrFhW401Gm8MpWgZZPOS7OlrBB/YOzrGWicuY9UNrm/3tiaTtwE98holEeMMxfWU/WL59+5HUcj3hMzq85v9uAN2pDt9y+h5GVwPK7oe5lgl5s86qc1zS7+fvqChGgidszuDE2itViF0WLpCN2rwQR3t+orUKeVmFS1GaiPtCw9WNDsp3HJF/KsPZE51OKV4ykkr3WaJ60xrzdr6GsrIPuit47e+8EVefvn76ECsF9lBFudFlKc+L2ObpKit6uvycQqt0x/b5Wv/kCbiA0pL1CgkhiZSMULMLpK4nThIMdAwKOFGUVVFlhfokICMRgWPR0kwqJYlnhnR2MUKIvE9DgEczkVOm7haBfApxMLUApe2wmsA7wg+4IONmWCy+YcYKxQa32QieIp8N3GXUgScIoIfiw8W6yq8tajYl0xJAKePVqem6nqcZFqJVURHYsFAfBalpRK8sp2+gPfivgPR8LUWoJhpQJsGIGqlyXOhAugWNw2RLVoCpVVbr8cLP5Czipe+8020MgQnQDDPc4pi2IALbaQukM6MADLvyAYDvIZpbbm0tcPf+mt/ldnhMbgpyleAb9xWde2YzSsWixLrhJNnNp0yn89xzmLrGIejaolbmi84vCfWuBCfo45uRB3jj0yswk4ImNxgshxPQVYMsJHMLkQG8P7ikLE8ZXOJ6NwDaMW8dpgiZ7y+Tr1/xLyuGZNROkvpHZnS7M/mBFehkTpvN2++DSbD5wU2y8k0yMzVOJ3qlZxnpA7tvENhy5Ija4XnRymUsjhdx1XZEaQI9cNiXvafh3ZDr4PEadXOUjuLdQI888xIijWBLvFdWXneun6bysPCBj78gcdQGqbTQ5yFx594ilGu+MH3p0xnh5KlqQKVqwkanA743LA+WUNlOcor7t/fI88GBGW4e/cOJhMWZaUUxydHEh4QHE9ee5r5dEo5L8XyixRKdai4nsVVnZi1tHISymAdKYAvKCPFiZfGWBtFnmeRQ0uRa01mdJxjDhtgf1pzPC2xdkEIUxQyriEIlULQQpVhjcbOSvKqJvjAyclMrIkqhXaG1qraBT5LP/ud7Jvlm5ga0s60PJ9XHedLg175g2Wrz/s5Hkb4/Ns6zjIYLPVjeawTn1qCPv4Ma9l5xoP3/aAdYd61ujyIoLBRiM7okFhuOuC1UbROK1gSKtLWvTNZxvb2triBjcJZmvEJkVaFxMNz6v5dU8sDjlPxN2cdafCTJacLdpYtP2dcf3qXf+BdzwU8/8V//k/J85z1tTV+9mf+KJvrAwEXyICGICInVQ9WyQXmJbNJadVUFNcpaFlFoawkNVwl63TtYuBqLMLnamwQy0kXjofgBdB4+aCb8unjdz7Eyq9efjon21NLzZ8mVsckRdzAYkyRDZJG7iEGW9PKMwUYjQ4G7bMmCp4YoJtMijqZsH1AmXbStwGNMsm1FveMVorcSA6vuGLkvOVq5EVRNKUvEvhJtblCCJRlJaXPHJSLGh0c65MJiY5c6AAkq0eU5AheygrvFSFIPbLti5fZ3rnI0d4+d7c2ubS9RU6FCTUgbkQJ1tQoLRlZwUfLmwrxfRJjHoS/pK7rpnaYtZ7aWar42Ww65fh4yqIqqepaapOFKBCBvcMZ05t3xdoQSbOC6hBkPeDobgpawXh9g0mRs5jXvPDEB/nUsx/CBs/eyRE3bt5ge33CxnDIdHbEdHqE83VkuXbcvrfHtfUNqkHOvXLB2weH6NHwwWsuyHsunFiRrKvBZA3XVVAxwFylKAMnlqzgmM2mjcVgYS1ZXmCUZGZZB8Nhhtcak+csqooir9DDAXfuz9jcGAOejfWxBNkbzW/+1h8wnGyysb3FeH2b+3f2UcHjamHOPi5L9g8OyYyUiLHWNXMo15r64ISDd/dhXnJwMqXMNDMcNYrJaIwUMES4e7zH2yCElYFIzSAgLIRIa09H824K/UJQNoJbIAbGewzutMqP1grvpHhwZgxea6pI7eCAysOdvSnzxQm1W2DdMVrVsbxNWuMxSDTXWC+VpgNSJ1BeYaqTpRtLxDLE9s3GrzjNjkOSUz1LS/PFoxznS+xzL5Nf2vslRZT31+Qj3pizH1Utn3O2EF0FIpp13lh3/hARWq8tdeq3BoSEvksqtOanc5tut6iznjc1c9qyJPihtfL4uO6UUgyKAVvb23KONpSuYl7GmECV3OiRf6d3o1M9iA98xgzpjs+Dhj3J0kc9Utdidnbb2IOPB7i0FLW1LOZ77O0dsLV2WYI4iUF+cZMSoSsp1sKtIYUBs0EWq5RLCnsK3tJOXDnW1hEEeFxdE2wFVoKBg5fYlxBLQKSHDMFHi04LCOQ8IaJLRSy1archFSefiogyATbnAlq7BqC0hlGptxVMBCdKeIGE/VJHU3poXEPpHSTAlNpbBjjLjK5Nx0NMd+5clwLCfHTPJULEBHZaDb91TSW3V5aZuE9ofB4wRmNMHI9YIBMV08GDbqwkShE5i1I5A0m5zY2QPGaZZmAGZOQYHQhBXJ3WuWglk+wlEKGu84LQUPsHCeyOmUYKhTHCxizU5zG7TAvZo3VW2LC1xuQZAcPtvWP+0//3P2H/aBazBlUk6usKlIfb3AKwd3TIoVLkBG4eHzG4e4vcGPJigBqOMaM11GjAxmTEcx/6MMYoqrJkVIx46623uXz1MYqtNV668y7v/fZv45IVpVXXO/drVinKBi5ONvnJH/kxXn/vHV5+8w0WPmZJpPNjkIHMOYECtqqbzjunqU0gEWtaGxgOChZVxXQ+QzlwznJ0ELhz23P9rbdZX8v5Yz/5ScajAVluWCwqxmuG2bTi+lv3cVXNxto6t47vcnR0yJNXH+PJJ57m1q3rosx4ccvoTDMsCuqjKbsHNRs1XBhMuFMoRkOD1YqyLlmbjNEoynnNnTt3yfCUJ3PK42MSD1WAuMcmd3KsLE4UwHFTVCk/NCB0BcFgT73vCOAr1bC4F0asg5cu7eKMYe49tw9OKKeHuFCh3AKpWxbT7lOh4iAO72MC5SQnIPQGSZBZYj2tJMgaT0CiVgjNGj6lIf8hyN+urAgiXx/68LRd6/YsqX2aR2jsEY5lHBOWhqX5Y0mIdf99mLbhtMWjJxtXHKtBUTvKqjNCvTuG01ckLNK6pJah0VkmnNRYg2p6LYfGY2LiJ61EkZp/LT9cCtEQwBMit1whYQ9V4M7du7zz7k08Yi733p0Glb2XBL0Jo1ZMukcClqozDO/TDBmaf7ofnHucXzw0lmjwznN0eITWj8VN2Ef3YZxFMWsqvRSPJR8XDCbjSKghVZMDSNaTdU2cSlPyoUl9ENdZcDaCTOH8EesBJCp3Tv0fOZ+jpUe2xVhxXQfEACObpo8TqucyjCBDIT7uhlxRG6xPm3ByLkAjvJI1R2spTBob7dfcEQEWOtafZArXkdukdXfEvujInqlaEJVATbfmCtBYedr/dYxvcdjgmS3mFMNBUxJEedmMTTJbJc06pLcY9VLnsLbCZAqTRdeCEh6mzBgkPkuhtLgQRcM2KCLPS5ZFXqBU+FKq24OAuzySTtr4jNYHTKxjpvCgBewVmaEYrKGzMePhgPv7RxDvn4rLKhUBbSpV0fx3tp5ivacOngp49fAeb+zdJQsiXCV+zKGVRwVHphTK1xgjrOLoHL73LZTyzKI1UycBnvaCjqzr9iUoxfR4yre++yJzxHoQtFhyZG6opmgpaHQE3TYqGGVpefede7x54y4Hh1MWFn7yc59gPB4yPZkxLxco6yl9YIAmzzSGjLqmsRYKV6jC1o5hoajrWJRzOhV3jhV+pcV8gbMBIwMjsWNlxXg0YmBLntrdYK22LIYZ2QBuLU7wuWK/XOAWFqUz/GJBKI8R5vBYBNhoTFaQ0nadl5IoPhL6ifVO1n9YsuCFoHAILUAS0u1CFkXEaHGXF0ayvF55bca1xy5yUla8/ta7VLMTyCuJ8QkSNwgK5SP/FUpKedSeNScWBmcdKRU67QLd2An58+E2/RashNMf/v/hSOv//SQ2/NBHgxLoxZ+kv+E0gHm/t3nQ8Ydxv57Vbvn1PkSzjTfyzHPD6S+bvTxad1yIWVfyd20t3/3ui/zBd17k3v4hs1nN3t4BRitccgekAPygSGEq/Xt0gpjPil165GMJOOoVD33KMNYFho/Wh3MBT4iWh+AddVU12r+OKVgp60AphSNEkkKD0hmzecn3X/8ub759g0Up7om6rrG2Yjgs+Jmf/il2d3dJXAhKmahjadHmgoqU2MLW3E7A2KfQMSIn0IFwpaTUZrE6RBAVY21CdJGoaJXqTewUXxEE9hCImUAq4pb4jBFgiMFHNebwhLC9k4Au79vaW2jVfN9YeyL0XzZrS/vyuw6tQby7GXQtSV3Ao5XGBKG7d07AxaKUzK/c5OgoDDxxQQi9Um8D9vGdWldThJrxeMDm+hjnarSPiwjJTnDOiYWHaI2JbrY8yzE6i5qVgmBRaLwDlMdkIsilUKtYekyywhEk209JTbLRcEyWDwg6sLG2BtzpuwYj7pY4HdFPMzJMMPgQCSo74BHkeUeDgvFozHQ+Z/fyNk88fg0TSwNMxhPm8wVvvvk6w0FBBthywc2bb2O0AaWknEnwBK2l7ptXjcIf4jtPQjvCYwC8gmPlmO7dRhuNVYhvvbOQdRBwrSDW8lKxbAh849uvcOv+MSZbw+QTfvC9l3n6qWt8/IUnxI0YRGFQ1mOUIc8GkglohQQSwBjhPrLWSr24umYyWaOuajSKQZZx/Y03ePfmDbT2qGBQJgNvGQwKPvyBJ7k6GnIFzVqmKAvPM8Zz4muq4FmUC5yTgrMg1hHnLbNZyTu3Dvj9b7xKiJY/vCMEyceXeDvfKJNBnd7ShBupgY80ZH/I3JI9S4K9g5GYtdEwk0rtQbF/eEgIFpzELARnCTo0QFdmrMIrx9TXlGMBYOW8bGLHILTvO4Se/DkP8zTzb8U5oW8KOP1981981FUSMcT+kMatQdw9jbwRqs3zdsVIJ/MoSulHESvLoO8Pw6X0sG10rf69Q539Xs4e8tD72bir2t1yqYUEv/soJ3QGszEULLXQjHGzx4eei6vdt4R2RKGa6geN4aVzrg+tvFMqYK3jzTevs/BBgv9DRmE0lQrUroYmCei0ZUl+dJ819AfzhwWjPSPNOe/51G0ezboDD0xLlw5opZhNp1GoJrAjp/jgqV0Ak6PzHJ0Nef362/zOP/vv+e73XuXkZIFCBKEpckwm7Lpaa/7KX/5L8WV5saTomJWSMlR8TQhesmGWLRvph2oNe+2EiUAini/Bx7aJPxJolKM1YqVIlpVm+cs7bNtNrq2YydXze0t19pTSLgXmO1kPIe1BnetCjH0K7edNcPISr0vXSqS06n8OvTGRdtLg9M/1UoAMrUxr6QqAawVru6h0BPMtoRpAVVYYJNDYmKyN0QpagJSRchMmujFdiMVmtcYrhRrEGIvgMEpSy3V6fw1A9Hi8xJloRZHnFHmB0obhMGN7ZwfUm+2zRZOtjHEEFh3wp4KK4qu7KYn5VzlPjmagM5585ml+9mf/HXFnaRPfM9y9d4f1jXXGoyF7d+/y//pP/p8UKpZzCIYa3yz4VgSnj7ortE1JDgrqjM56EiEakAK9BAlkN8pgfAxQ94pqUeN84N27exxOKzY2x5h8wNHhId//wXU+9sJTaK0oigGHxzMG2mAjy3hdVaByrBNHUAKnzjsJwnWW8XgEeHKtCc6zubbGM089ybvvXMdoFTMXHZ/99Kf5X//VP8szT43Y3BjIs+pWIISkOJwSBKJEvvrGe/ztv/sP2T+ILOGhFnoFbyGCSBmnJCB6S0IsXiRSRlmfKShVpaJZ8pSEoHEqUNcnVGWOc4qD/WP52lV4KnRwKKdw2Gi1lPXmc0+gZvfqLkop5vNFnGcenZBYskLJiurc+1zk0ly6cpsO7Tnp7zTD/DK937LrptduZx9oJ+XSrfwpYdmdz6eOZVn/gEMMAataWg3uTj1PchH+EEcDEpfv15PZZ3HlnAGg2pd/RoPxkw6IbSO9+veQvrX7ebedZFDoNtvu121bp22d/TayLG+MAs5CuZjjagE6ri7FQt/Dd11gd/rP09TOqd+P8q462kw4Y0WoU7+s+vKhjwcAHhneLCs4ODyirm3TIe+leOH65gU++JEX2NjcZlpWfOGLv8sv/utf4frbNxitbXFxdz2alxUoxbxcsChP+MHLP6D+szVr4zEmBKwqcTYFBXaAQXSFJEtG27cO4Rcxet2nAe/pNrEatUpiLhJJeryjidOJDUXQ4BvwID8lmFpQUIhByC0iF0Dh5PPYlFSB18370xHd9+KO4rMGQkt/ED9T9Bd6F9gkd1liKJZnlO1fvHkqNX5qSfZAow8toNHd77S8M8TK1lQL957MaHItLi4pFKoIQUoW6I6FR8W5YyIrsnOOzDu815HcVN6r7ljZJGZDFmWKwcjMIKa2F2hTSLXfWCU4kOZHOLX8ekfoL6M07raqOTk+pnaeL335y3ztD74O2qC1xEoV+QBjDEFr1jfWwFvm3hOMIouS2AVzyuWSQNfy0Yc/bZJ6SAHKXuInlHUSl41CeyRAHkNw8nnpLfdPjlDFGLzm4sVdFvMFtqpYHw+o6zF367usrY8Jiwq8UBb42rGYS221vMi5evUyt+4cCzVBCEwmo1isVuNryR67uHuBw4O7nMym6KIgU5pwMmNxtMfde0O2dq52FIbuU/aftjk0TCYDikGBMUJY6oMneIu4qyPthGpdzufIqRaox/8lNqhVFCUE0LIoHbN8iA0wX5SCvJIZPySRKBZZT4rbs+RYhnlUELwT6+hSvEMjxh4qkOb0pn569qQ2w1m4oL12lXxYoaCf3QAd64dqfu/hmp6pYWWnz277zI6Eh2tjZVtLuDIs3eFUu2dCy/5ZHcXxdN/b0IIf9khNn9dSF+itcvMJkOpQivR4a1oFOll4jNYMiwEXt3e59uQznBxO+dIXfgcbaU36ErPT0+7QLVsgf6ix6Aq8zmdnvqcfftzhQYAHoiA2HB5Nmc5KxkNhPPZBceHSZT70sY8x3tjEGMUrN1/l1377d7jx3m2Cztne2mJjY5P79+8xm8/Z2txksTjGVTW3brzL53/18+xsbXDxwgUuXNiiyA25yXHKSoqq0mgtWm9/osXNqevWiEd6ycLLk0BLC5YSkEzG4YZXI9bmkg3XNSAmBI93od1UjWkWhPLi81cNWpFNuhH40ZWR+tTE9aRX2AEfvRidzvfd8xKZXjqvAYA+xOCzuFi9AgfKB5QLUmgV1bgXeoHUCqFY6bnFROgTIFjfcAgNioKBVmQaxKvTBlSHkNqgsVroaMEQg5uMp4s1ntBKLFa6HadkjdHadLLQTHR7SdzQeDKJ1qrIA9X4ncPSjpfGbgnsKPlHXpeRB4kakDF5JJH0nCymWHdECDryUQWCchitWNSWXGcoxHK1vBibNPNUtDYQs+E6YFwlt2WcI0qjgUxn5CZH+X7oqNYa6xxawfrONtfWtnjisSfBKibjMcdHJyxqx8b6mMOTRVMhOW1KdmEZDybCvBokVmpra5033rrNeDiiso7cFCgUztbs3b/L+jinyHJmsxmJrVxZhz854VOfepzhxir27tYdcpZwUCq6rOXJm2wSn+YlQYCIT+84gYCOOweZNyEg9ayaAOLQoIDGKovBWinN4QMc7k3jeRHs+IBKvDpAUA6rIsVEgGGeEwi4WPA4NAVP00wLjfw+f1s+wxrQfLX8/WkBJMQe8flWJX919o+HO9ICUSsWS5SjS31ToYMoV7bYV9ZWn/kIvfwhgFF7t/DwzTTAVeZn87uO4RCd+/RjflZdt7p7y7jhvL71wA4ieyM27QBThcTdJLmYEmZEAdjZ3uGzn/0smzuXGK+tc/3NdyBEF3foPvOKHotWQWPBXLHndXr78J+fC4gfpo1HmRhynA94kpZEoK490+M5k9EWznrWN7f52Cc+Qz4ZEzS8fvM2P/+Lv8z+0Qk/+hM/ycZkg/FwwNHRIXv797hwYRutJdvp6pWrXL5wkb2795keHfHma68zn53gveVHfuQzPPfcs+3jBRq3lUL1+BRCoOEZaBdlKlcRaQW9wofodvIqsvhKHIvROVleRI1czkmatRBVeQwZIRK2uRRwGUJjzVGI598lZo5ATIMnbo40YGdV/E2n8w2I6brp0tHE52ixfCTQk9xd0AFWzuFtEMLFCP4kK03SxJVWTRvatPdtgFqIaeuI66PIsiaDLEIZFELX6ELKBpDFlWUSg5U0FCcrtOkXsU8mWnKa2KYIWJQSi4e4/CSn3doalJZg+CxD51kkFAQbCbMUKaUychPFAqrBtgJQdhbVKBKj8YidrW3u7e3ziRc+ys/+8T/BYlFR5AWz+ZzaWnxQvH3zBjfevs72zjYEx/rahDffeIvRaIQu8mavqOsaW1vmxyecHB9LVo+Cqiypq5LBcECWmaYAbvPMQQMGZ4UzKssLWMR4sLSzAdQOUKytr3F8MGP/4JhhNoi+/MDxcUmmFfOTEwiBTAkvT2bEWjcejpieLBqFfXNzQlVVbKyv8857d9jY2JC54yqyoLD1gpfffAVna7TReOcjaZkFTZtw0N0yAszmM4pCivSu2saUNug8Z1EdkxmNC17mUaABPagg8WJKgohTnI5PUj4J9qiI6Ph7G9eV3rnMgeBkrTsXOLq3B64G5eLclLmkQgDlhBoAwCsKb1hf24wlThKIPMuEsrwBv0+hfuZl8Zkb7f8PQxs+WxAtK/b9OMqz79HPSD0LaCRA94ejuZ9/rLZfnH8ka4NqAMmy/aEH6npWmLMFccILp6xoq3qwUmHoMjd1+9Ltd1JqW94562p+98tfZlZa5lXN7HjBYj4lM4EyZmot3+fMnnUtfqeuecjj0bHK6YveRxsPtPBIwyLQjk7mXNi9SFWXDEfrDIdjKidK8je+9V1efOn7DIZDTqYL3nj9Ovt79ymnU0bjIVevjpnPZ3z6059mc22LalFSu8BiOsXXlZQUsJZbt27z1FNPNRPCRUCjdUcDUaCVEKsZnQZfRfN1LOiHxgZNnQKQ0+hoyT6aHi+4e/cu3nueffZZtrfXUMpj6xLvKpQKZFpjXbIWJauPAJcU2JsABSEGNPuAxAXJ7VSguSadn+pPNQAoDnPLm6CbudNaYiTTKVGtNRajRrPttJHMWJ3rrXUY45pq91FXAHTH+hVjj6I2673HOSfushCoauFOwRgJSEaBF2JF78RgkuhMUmBHkg1aa4pIBuecwxgBWZmW4GTfuBUCqjVcRYFmsVah9QBjJF7INSDPNZq8uCga/beZF6vWhVJQlgv27t+nqiqmJ8e89L2XmE/nPPvMcwQF83lFluc8dvkKRVHwyU9+krqqMBryfMwLH/so65sbzb2yWIfJeEVwnoP9fYwx3Llzm/t37/HMM09TFAX/8hd+nu+98pIENYeonekMXwtFwiDLIule+5ZUkDgeBXz86ce5PC2pKs1sVmPrNfCBt964RVlXvPvmm1TzGXt1iaodI++w5Yy92+8xHFyMrWqKXFNkOa62zE5OUMWIUZHhy4rJcMTa2gRbVeRaeKG8h9xk1LUTINnbItq/R8NRz1KZDudjFqDWBA02WIIXqnsfiK4tYTlPNAfdWn6eTtB53AqSQtHOdbHKyp4sLO/BeXwJmQ/s3T3hvTdfh3oGWd1YeSBEzqdkSRK3Za4L1te3IClXKr4R1Y3PA/Dx+jQOXVr+npjsD0roM/j4c+RMM7NXNadOf7T8/apYFLmdiuumCwxO/9sN+F/duwQyV99rdQ/Dil87d1Arzmv6veK0Fec+zNHv71lB2tHNeurZVsGhbs9C/8/O2u5dHu1QPQWwscBx3sAjtnEBOQ6pRJCUUADvambTE2wsi1JkAWc8ZVXi7AKChQR8mmfsgOpz52X3QVY9/xkfP5J+EFY0/+iA+QGAJ74YpaiC5/U332ZtbYP5dE4x2uL4aEblPYsQMGaI0jnj8Tq5MTzz1LM8dvkSwddkWcbx8THXr7+JQjGbzgkonEpmbHFjaJNz9+4+b799U/yORrJHgOji0CijKYqCyWREURgpKyESVrRElRFiSqoBFuWc6XTK3v197t+9y8H+HlVZMluU3Ll3j9lsxmg44EPPP88LH/0QTzx+lcIU4qIJIQZR0rygBDRcVLydE8JEsRy18UJdEJEAT/osWVOa1xbbDTEVu8sr0zWZOufAtsF1jdUoalSpTaM1wSh0BItNnEvjcopLK6Tv2nsppTA6By0M2MbnhBDI8xzmaYNPYyAkkj4KKe0V3ndS9Zdcdl2+IKUgMzoWUG3pAlqjVeKgSetPLD2jgZDttXxI3ekaEAaX5GbrZ7VAu0R0UDg7Z+FLnFd896Xv8I3vfEuyu0xB8JLppo1wHmVZxq9//vN4J1QKZbngt3/r1wnOkhuDzwzjnQtcvnwZak+oHVmeMZmskWUGbx1HJ1MmoyF37t7FBR8Zu6VXXoHTEpSqDNTaMVQO7cF7gw+KqnmfcGEyYHJlzNEC6voC86mnnlvqcsGlrQ1Ojg7AeYwPBFuTEcg1GDSuDmQZrI0nrI/GvPid73D/4ACVD8m1AhzT+Zx33nlPrBvOsqhKrAMdMuqFxbt2VL0P3Hr3Do9dvdS4XQFxD8b6XUopTmYldQBtNDrLcMETHAJogsMH1/KCBIgRTR1VWBZhMuB0Y3VC8HEvEJJCGdVouVEGVXmObt/hn/3Tf87NN19FwHGgrQwdBGykawgQFF5rBqNJQvECzk9tsqHZj7sAofluaS33j3bnD+mfcwRbE20R2tNUetbmSdrPe11UrQIEsib9OS6wVdefd3Rj2ULKiGyy6c54oFPfqqVvz748uam6d4j0nf3rH/HoXRcBSjumbWe62VTnS+/u76756HT/2n7L3NWkQGcFPR650/cKnQmUarzFuR1DC7yrQWWipNYLgqskQ9FVkjBA9xr6E2klpls101aBwRVHSNcly8Dq0/6wj/PT0ju/mzznrbdvooJme3OHvYOX+P5rN3jquQ/w5AefYnqyYGt9m0GWYauKwhg+9Pzz3Llzl1deeYWDg33qOmCU1CwKyKt3cVEor9BkzMuae3uH5CZaIiIHTmYyApLuOl/MKcuSZ599mmvXrsnC0gZjoFrU7O+fcOfOXfb2D7l7+x6z6UxqXkVLjMbgKUANUNozWzi+/q0X+eZ3X+LS7gU+8oGn+fAHnuTS7qa8+yB8Ob4TN4QSoryGFLBj0em5hzrR90mwL/8ONFYfOL0xpr+dc3ha5uUQIsFf7EdyUwUbYi2u1krjouunt+GB0B51zJntIg49d9h4PGE6m0rmHGLe90Y1vCmiVZ+dUdEAw0gOqeJGkoKWE3Bzvh2vpOGEqL14ZxkNR0hRvCikXBu8vnrmLh0Kklsrzwq2NjcorSMbjfjYxz6B9ob5zOKcpxiOWFtb551332Vvb4/ZdMrR0SHGGIbDIVVVUQSPDoFFXXP/3Zu88dZbFEGDC7hYODbFX3nvI++FRWeKYGu0yVHGyLZmIvNypvFaBLB4WQI1irlzeBf4hV/9XV5+6x3+zL/z0zzxxOMYI5aeu+/dZZRpfL1gYAJoyJVhmA/ZmEzY3doGYL5Xsb4+4tL2Dj/+yc8wWh9jQ2DvaM7Xf/9bfOM7L1E7sZQ+/6GPcP36m1Q+4G2Jt5bgFNXUEi6EaKUK/ODNO1y6crHn5pqelPzqL32ZS7uXeOYDTzBYGxIyEUc2eKx3mBCaOj5tMH8Cq2nDXxYe8bwG7KRYhdM6f4opU0BdLXjtlZep/QIycZfq5IpW0GaeNA0TCOTDHOcTx1TMIO2x5i1ZB1YKwLZPp4+w8s/VUKR/v54dJlpnu2PW7WXTbkcJObdb8ZomxqQDxpbdLV3rTnud4oFDsXQZ/Y/jd+HUCausTV253LSx0iLzgGOFFaaxfodlRaxPSbDcUP+7Mx52xSFxbB1utmYMUn7iqiaTa8o3lk4QXioJVXQS/+O9lF6yiS0/zqnlcTrVz47y0TC2PeQD/TDHecj3EW99LuBpqnKjUN5xcnTM5z//mwyKAVeuXmNzZ5fXr7+N+lLOrCqFUddKWuk7N27wz6/fwDqPMQV5kaFC0WjdyR6cskh99KMH67DWi6ndeWrrqaqaujrhZHrM0dEh80VJbSvK2jEcb7C/v8f9/UPu7R1weHTCYlFTW4+OaBaMaNk+Vjm3lul8QVVbnBf3TQgarTLq2nPv3gH7F3ZYGw8pTNKoJOMIRYz/aa01QKPx9jYgVI+NuV8Dqz+5ehkCS0fPV7wc+BwtJnmeixUmgAu2ATshBKqqoiwXDIfDeG9xZTW+5BjXk2KHQgwKTjwtSmsmkzEHRzl2HgN4vY/ZViJQUP1nCNEVkTJXusCrC3hqWrC3bI1J46Kj+wsFeVFgsgxb1eL6SjQBjzLxFRBLjtR1RQgwLHKuPf444/EGmSooBiMGQ/nf1jWj8RjvHS+9+CK7F3bYvXiRuipxdUWGlFQ4sTUvvfQyl7YusDYYoZVmUS44OjxiOBxweHjAfLEg4NFGMhYr53j7xk3u3T8C5ajtnMF4wPGBjwU4xXXilNR5Ayjrmpe/9xqvff8dRoMRWsH25jraWy5tr/HjP/oxNA6jRC5XdcXxiWc8GJKZjGHtwUOuhCyznlcEBeNhwfrapHl/+WjEZGuHD26s4wnM5wumdw45qSveff0+g82C+4uKu/sLfv87tymydT7zqccZDnOUkszB6b0ZX/j93+edD93lp3/ux3jsmQm3D+ZUtmpLpkQLZAN0Oi6q3vqI+61SnRT/U+fomK2ZYuZiPJz3BGux5YzgSoRo0EmwcpwUobehA0GeIR/k4naLtfGSln7ajrAkxU99vurom3T6AnwVDEj7Z7OFNvGL7Vik9XD6vmr5GemAh7Ml96nudlfqKmDWTfPuA8CHWaid8esyl3fbP/3R6XkTT2rOfRDu6V7X3Cf0cMAjydewYm6s6viqY+WNYoJMbKPVLSJgiX8nL63Yulys7dgqson0VzjU7Iq+/c9gbknxlD/0sWr9nX08IGi5zWxSXjEaT3jm+Q+wu7XDcG0Nj6K2JcHXIpSUamop6ciwLBWPI+FcHFGPhyDMsrI3RSZeL5aD+UzA0+HRMQcHB8znJdYK66+1tcSSKM+bb9/kxrvvUdc1aIMyOVk+gKwQi0usC5UqrFsXWJQVs9mU2XyGD7BzYZeNzQ0uX7rE5sYmm+sTBgYyao6nCzYnhaRfK3GDqBismUgYE6jITCZaJqmUg5HsJloAsMqCk9xKyWrUDX5bTkWECE6MasgPM5MJV01RiInaxZKLSpNlWUMtnlxZ0i6NNpw2y/QfMY5BxT47JxT6kiJucCFdrzEmrhAXYrZS+6wJ2KbN0MTstu5m1M1sOA+0BC8xOllmWFubkGeGRVlK3acgVAkqqqFn7yWq1Zi8A2fxrmJ+7LFBsb9/wH/51j9BqQKClCMYDidkubj0PvjB56nrmhtvvcVoWHD58mPk4yFeQ+1dZAaW+bAxmjAuhgxHA8q6Yjga8tGPfhRt5J1sbGxgraMY5HgN3/7Od/ji7/4e33/ztliNBiOJBTMBqwJ51JR9HK7ZdMa99+4xHm7yzsE73L17m5/543+MT77wYez8iHJesj42GC1Mw7k2DMyAYTEiywvqSmLyTKbY3BizWNR47ckyxeOPXRRtUmtGa+uc2BpnLXfu3eXWrVsMnOHyZEhtNCrP+O9//vf4pV/7Jneuv8Mv/XzOP/y//B3+xJ96gRAUI5Xzd/7ev0vtApmOG1yI6yczwrcUQJHq89FYCwV422j9i4SncRyCIoKktKOIpVC0b+k7tJZDExSqtjz9zNN8/JOf4NVvfg3ytM5imRg6vD5KNXJWKBEM3sUSKL6MVs5I0RE0iYhQofoybnkeL1kl2nNV73No4N+p60UetUK4NWCsEPa636pKLXdTmB/h6OxGjaw6LxW/Sa1u6jo8GthpgFQfE644s/NZ9wU8AlDpxV/Ftdy9thdL05rKVrd1aiPqnHfGs5zuj+r1Qfav9N465Lsqztz4eQLhYnEXK0+WS2Hp0O1blAfeuqYuZdPVVe+q9+cZk/xhAHO3iTNA+dm7+HkWqIe79wOZlo0xDPKcyXhMURTo+F+sEx7P84QU1BJLQ4jgVCKsor+8DdL1EXtGf7ykVOGcMDXfvnMPHxyLqsJHDpGyLCnLkqoqKasSHzzj8ZjRaESe5yhlcB5sWctL9Vq0fxdZXBFJffHyZcAzGAy4evUaGxvrLBaluB9CwDnLwlrwNaApRmMINTgfK37HBRAFtFbEQqLyBptYlbhJJ1Sdlo2MVztZJcC61UBCKttBJxYmFWCN/5ssw2SmiZMx2rTacjS5Cj+OjG/Xxdadk70A0GTN07oFP7RgQ2tNbjKslhpbxhABT9tWiu2RFP92+aX3bkyMuYozQGmzRKbIynmbssqy3HBhe4fRaMTxdBrZojtuxvaKNKKdYHGaZ7186SJ7t27yY3/k04yLId/6zktcu3YZPZygswGLuWU+LymriqOjYzJj+PY3v0lZleQ6435VcfPtW/hMUSG8PPH1EULgG+rrFBjyzEgxW+/5tV//HzFagOl4PI50CAqVwbyaUluoyhrrakyWiVAKLUjzCkkp9zDKCi5f2mVzY5c7SnH73Ruc7O/h6wqCZ3p4xOZgmwwlZTl0hlGaytboPJP0+zhS47UcS03takYTw6c/9Rz/4hfB1QZQnJxMee+997h/sI+1FlTO0aLk3cN9Xpg8xfMfeZajX/gmJ1Pw0xN+/r//Ak88cZmL69vkVkLs84miAtQAjAKlNcPhCGMyqZ3XaJ5SIT0gAcSq819mpC5fULFIcLO2aGvlxafKtJHPI9DXDgba8Pf/g/8N5SDjv/tvCjBxBwpi5VFBR3yg8NFjoLxHK4kZrK1ta8EljboRkGnOtT/b6dg5r/NJRyHvraHuFD4FeBJz/Ap5sNKVHE63kdp5H8nrnXvFNhpf1+rj/MDl82/yoHrA79tIck57qvd7a5FKvy1bEx/0fGfe/yE7L3hgeYzTfFKdTodolQg0BUBVmqfCqk6nrUTjoCKRqFq1f55nfUn3PP8pH/B8Z92jo5k3R3zm9HlvnTza/c8FPNvb202wcKr8nWoay6Tv9ilEYZvQpzDqutRRDSYJ/SB+xULlLKo5wTpiNQaUUiwWFdY7bIyZqb3jeDZlNptRVZVsvCEQHLg6IliTkRUFWucE78lUzng4YjQeMR6PyAc5WZGze2EXay2z2QzvPQcHx73NyQRNUDk6U5TBUgdF1ghM1QjlxjoRQU98/LaQKq01x/sECHxvoXjvBZelTT66lFLKduMKQ5NnGSbP0Jls/EpLlWyjBGyl4OPEBO0DaO1jn1Rzv/Z19cFI+r0pHxKBlNK6AbaDwQBb5OjgYzp76zZbBmdZJnxNNM/esV4FmcBdbbS18PQncAvS5PO19QmTyRrc2wNiXJN3EqEOjTVAKRoSxBRbJH0TPqHJeMTP/NQfY5gNODw44S/9jb+NHm9yMi/xLqCUIS8KXvrey1za3WU4KPDBM5+VVIsKheL3v/F1vvr135d521SaVnGee6wTn7pSMJ2eRGuAHMZkQMAHC1Q4NJ51rA1kOkORo3wpMSbB4bRoY6k4rLOWqiqZTEZ84Nmn2d3cQHvLqCgoTIZywltUGBPZrMFZYRw3eU4dwC0CC7+gVjPWLgzZvbjGZ/MX2NxaY3q35PDwkEExYJAVKBf3U2VZWM+3Xn6bJz/5QQ5Pam6/e4vp4RFW1Xz+t77CyaziT/3cH+dP/8mPSQ22oSIbQDGIJU98IJDj0RLw7YU/BKUIMUUffAxKN0iodR7nowjxJn09Wj1SdldyZTWWTaRm3JVLF/kTf/LH+De/83X0cILJHThZzzr4yGytBfBEvKy1ZxwKhqagnJWUlQVl4htu8+gaK0ujOCwLA9X5jP6G3VmLEIOSGxy1LBlb1N4NWm7PXdr8VwjksPSzAT6q20IL4FsQ0LaVgpO7MVcPPJoh6ILE1X3rnx97+Qh+pX7T3Sc6fcbyeJzRSKeNqNim07qvtXPR0hun5QE63fnee2wMLa01p9tYg617IDvySMXsQbHspBgeSfhJZ6sQWlbz0Pl5pkXnjHebSlCcepxVGmv3ulXvcRlurrpedc5/FKtQ/zgX8BSZVDjX0azRki7Jom6Dt6JJOv6rounae0fQSQjRbEx1XeG84/69e7z15ps89eST7O5cxCuhdZd9TAJinXPMZjPm8zlVVeGsxdeW4C2LiFCzLEMZTVYP0TrnR3/0x9FB4nZQSjbYuEHev7/fZA/55YEKEoplYmHCynkq59EmbQZa3rNueWZCHA4fK7g31Wm1jI9rgsLoubW69xToJP9prTBKk3XSxU2sK5VKN2gt2WoNl06gcT95PMFIIG0IDfzspcFDa/lIAbWtFaizBUTyN5RY7TSyeJR3aB2D4XQbuN21QjXArhmb9h34xIitw/JQwNIYSd/EwhO8ZzAoGI2GUdCFJkNMXlC0TPW0LxldHf3YwVtu3ryJruf8o3/0X5CpjEVl+Te//D/yzr1DZlVNkWeM19b5wIc+yEsvv8TG2phrVx/H5DllWXPp4mXGwxFlVaIJ4mYMRGuVIhU+DSmFWd5sL4vF+cSQLUH0CoVyHruwGDKUzgCNx2FxeKVicVpNVuSS2q8UxWjIMx97gQ899wzPPvUEhQ6MBpoiUxRGURQmuiANGAh4fHBUVUXQgfXtnN2rlygKyUZbXx+yubPBvZMj5osFdVVz+eIl9g8OmS5meDw2wK9+/st87fu3uH04RWvP449fZqxBh5of3HiX937h3/C7L3+f5z74JPkgglIVuLd3wvUbd3n1+zekGKd3hDoGn6sgvFjB451FxXmba02mo5XHaJItJ4TuvJJnI1pBbF2xc2GbuqpwteW5Fz7M5oVNXv7BTYrxOllmCc6gQ45qAI9kLXklzZgAW25IoTJq67DOo1WOi5mATUYL9NdNM++Wf3a5Tto9oQUOS3Ls1JHczmlWp5bCKWVZrGQrrEi91mjdhM3d9aknaK5d0eAyy3ivt504nuUGQ/LPtk/d9i993GCx1eeuvF/3Pum6Vq+i+0fXadgblxBjGWm2lUaZ73eUUy+sAYM9a9USWFyBLVS3ddWRpcnCk4wby8I/gqI0Oj7KTx/dVFprBgMhCE3Kt7cxqzjIugy9ce0ArVMjs+KjZZR6lnVmZSOhc/4D7qPO+P3MC1YfD+ThaZ5dt9aZkHL1VehMi7gBeY/ziqr2BC1cOU0kuBOunapc4AnMZnMWszne+QaABJRseFGAl1XJbD4V/3mIUejB4m2FC44qOEJRoE0mL1nVKKWYrE9YLBZSa8nHGaOkQjfQCskVQ+aQBal1TlUHCi0bg1cRvAUiUZoU4OxaOYISOe461hSZQ1HTaKwoMgFVLN6ZrC86sj4bWkAjgbtCOtiACrUawGgdfbohBhb7tMz7Wtky4FHxRYfQ/hQjv6T5JgddGiOa606XwGgfOwLiTnxPSvEOwXVcXzSgGvpp+40LMY6txFTonja1SpPtHl2+pOAd2xsblMeOjY1NttY3eev6Tb75zW/hzACrpHK4U5rvfP9l6rrCEPi6UYSgUDqjKAoIUj1bKnqEKGjjy1RAFvPLfOqpBIq3A9iqbOK+lPdclwsGg7G4tHTcipS4PefVHGst42EBzmKCIwc+88mP8cGnn0QHi/KWPFcMChPrZUnQt8SVSYaY9QtUZljfGsn867yzoijY2d7ktev7GFNQRVqI7QvbHN48kQBzpXnq2edZhIwrl9e5dvUp3nvzOr4sGQ9yDk4OOK5r/uDlV/nay68SCDhbNy5PWzt2ti+ys7OLq0qUd+S5pqrm7B/cpyrnyeATmdY9SklZkywvJF4stKSjSXAFJTF2IXgGgzEf+fDH2Nze5PZ77/H4k9fAeN688Q7rOzvoUKP8BEIttbTwGBTBKILRxKAdRvMMlWnmsxl1DOBfnm3JAvnILpx/m8f/QrqyKg7xfzHHkrHhgd1Tpy07vecj9PY6abcHZf7tHAqIym3wSkomRfGT5bJfKR2Bk/dUZQVeCEQTj5l0OiL91KY81Bn3VJyqp7XSvfSghs57rrOsTqnJR2/zXMCjI6gRq41s5j6xkCICXzKXZCJ4a5nNpizmFdYpivGEYFQDelJMTQIIJtYtWsznjRsmBVt5L9lUi0WJdTZmHtUE6wi2xteVkNEFJybpoiDE1PF3b97k6WefaywwDQlaDyAka9LSrIfmus3NC+gsgCoJ1BFoRwtFo7kkbg4BbSYzdIsCNK6c0IIMaH9PnrGuKyjPMlIrXWCikquLlMadtIe2TZRG6SDVn5VqgoWhBWXdMhJdwNKLhQliqdNBrAzeWZxzUYvqcuy0aZmrNrRuH5IlyMfMufR9zyLUeWYdy32kWi9aydMPBwWNtpvGmdPrYemVoxBX0tNPPs3Nt2r+yl/9Kzzx2OP8t//sn/OJH/lxLlx9kv2TE07mFZUPzOczbt68zvT4kJ3NTQIC5N+8/hZZrJPWBpxLJ5xzlHWJ9RV1VeK9iwGDrveuuvpTiIDHaEO1WDAZbIp1U8mWIkvQM5/PcaVlbW1ItZjh5ic88dhVHtvZZKAl5T0zBSaLFTsQF56OIL2uLQ7P5SeuMhoXvc06HXme84Hnn+Nr374OBLRR1N6ijGFtYwNfVSyOZuwfHHHt2ecpHQxHE7aGI2ZHx7iq5GQx5fadO3itOD6Z4bwVl190QWkl6ffOORTCqK2xaB1ASUxNAtM6ZkSa6I4cDgdgssia3paDQCmCVpDJXMozw+17+9zdF4qLCxe3OJ45Do5mrK1voHwFrkJhUXi0CmSxblpINYoWU0bBYXKNLS3O+37Nu3Pn3irNdrW2e2rdpAaX3k+jiSd1vt+I/EwGjY4QTH/2RE/HHZXWNN32Ca2FJB7Jcv9+D8VZVhW14rPuNV37g4oyWdGQ5D3EsboNaFSnsPrsrrEjfdoaWfogV6slRawzT3qveNly0Rnn5n5JSV413iueuVvkXGSp/GGMYjwZkhcFzinwjrosJW7HdzLQlFrd8KrPVp6qzjy9/7wPemGdeKMVY3l67B5tQp4LeIZ5ExiBhBb6SFQlT6y0Rnk4Ojji1nu3qOqaq1evsL6xwXxeUUcG3gDgU00s2eADQmaXGcN8Lpqr9ZFtNQGeqorppF42nFqqKQfvUEFcAt6Ds+kdGILyHB3uS8Vn6wTxLi1uGSsxSS9v+gImwDm4v3eAnRiK7TwGJbeZIad5YuL1cQNu0tU77hyxvXSKZUbAo6LpMcsytDFooyMZYTRRRjblDAkk1WLAEeK6Jn6m5fUJIIG+eYb2IQp6AyoRUoGQ8zmxJCQA1TkE7Prm2TIjBTW9s4k6K1o20q+hZ+nq8gy1rk8lAk83STYtCIwWHJpRFm4jlaq7K3EnZjqLlX87ayB0Nqd47fKRQK/Sitdeex1bTvnVX/kVCm24fWefj3z6j3D73h0WtcOjMXnB9vYFjDKoYPnAs8+gjaG0ng++8w6PX73K+vp6Wyw19sM5R1XXVLbkpZe+yy/98r+Oazex8y5FPARiNobwwlSLGXo7Q6l+mr4KgaqscHPL1Ys7fOZjH+OFZ5/lqceuMCkURlmEzUfFUhWIguJUM/+sd+g8AuUzNp48U3z8Yx8m/9dfwNbgdWB9axM1GlGsTyi05q1X3uDW7fd48tnnMUA9X1DkOUrD4fEBWaYpVGBv/x4KR6bEGiYUIEH2kgj+hNHbonFoEzCZ7qTRplgyUSRMpsmLnKwYSnxPW+gJbQzeKEIW3b9ao1FxxXjywYTvv7GPrT2j4Yi6DDElVwBVlmdiedQ5HiWFQqnBWFRusCeluNR9jQ+u0YQfFFzbPx588rIF4dQXhM6/NPMufZ2M2UBbV2sV7lL9P9vfW+jTJC503VI/xNHdJ5fBzioM1zklXtTtwyMMfO+y5efoPu85l3U+FOt3u4e3SmJnzHrCun26U6MYaOZx97vVQeVnj1S7V8ja0kpq1RVFzng0Ih8MUOTcLw/xXkwD8l4D3ULcp3p45mtfManOnSOdUX7gVErr+kF9WV2v7LzjXMAzyFVsVqFDwIYYeKw0VVVzf/8+b7/1Nnt7e2xtbfH8888zHo/BS5HDxPQbfKCua+ogrpGqqqhdhXOW8WSIc5YbN68TlKYspWL6ZDzmyqVLbG6t861vfxNX17G0AlEj83FDT1TagM5w3nFydCRAKY5HM/mU6kzs0J+sS4fWAvasddTWkCsJDGvo5KFToiE0QMJaYX5WyeUU2g1DqoELiEmBpOnFNhtK1IJ96IMIgoDB3AeJa/EGkrtLadC+uZ88pGTYBRVrxCsVa1656CoAULScPGrpf+J50q8sMxR5TlVleC+uvK4G0s3SSpYccUOF3kRVQYHv3wvimu9oTJJwECQ4OgZSE0BpyIocSV2OBV+9BxWrZDe02KntdlxD1AhCtDj+4NVXGGU5Nhj+xb/455xYT+kC5IWMCZnwEHnH5mSNoAImy1ksFjz++GMMh0O8C1JTqxN3NJlMGI/GvPPeOxidQbDtVt/sV+2cVEqy1rTWlM4STEA0HdMCoqCwlYD+nc1NPvjsU1zcXkP7Cq0MRnsJnvcOF8TliY8uUx1jU7xQTE5PZozXVhX+lOPixU0yo6hrYdP2meH2O/e5cfMGyltYVPz0H/tp8kHeJGVmuWZ9Z53jkz3GFOyywXDsmc1PqBYzTF5gVeB4OsdWpXB8KQE2ylVonFgknCbkOd4HcpNhdCziaTR5UZAPCvJigM4KWWM6Wpi1EiJMk0UPY8AEAUuZCly5/Bi/86XvYGuLMYbag6tEeSKXOCetpCq9UoZgwVcamw0gM8xLS20X0TrpaFPR4/Q6czQ7x5Ip4TzlNO1R6d/euY+EPc7rWQuGZSnFtbdCcC3TRjxqlle6qjvvm0/DqW+bv+PdeyesfqLzQqdXAYTT35wh8ld1SP7sWseXO9ZxFbdZumf1MGYbqtOK56pzz/8u7oU6oHxoMpiVUhiVsZjPYzhHjPkMZz115/OVXYqCJnSvXQUbV113xjnNfv0wq0q1fXsEK8/5Li0kejsF02YYvJLaN997+SVuvnML5zyXLl3mE5/4BFprqqpqYnYkGFAAznvvvdeUQnC+RHgsYrHqEJjNDqUC+4Vdrly+wmQyQSnI84zBIGex8GLVCQ6lLF6J0JWN3RLI0M4TUMxmMxaLOcErlMkbbTkdach1RJJtHac07nHi+RDdEPF777GnipUmYJKykHQ0wYulpkHuHfdRsvZ0X13wvuGySa6P1CeNavaH4DzCQCscRsYYKfqNakyqSZcIBAmwDi0gSf3tPmt6nlUuN0gKSHTXNTEMCu9bfp+uayqxPnfbb+6rBPQ0ACFZypRqN9zYvSauqRNwrXPN2mQtFR1owIswkYZm1JQSc64xGuebDuC84+oT1zja03zyhef5sU99ml/7/G/y+NPPcOIU+zPL3vEJ0+mUC1s7WAtvvv4G0+mxBKLHrKebN2/EudwGY6fn02iMMgQ8QblTik/XOqWi61AAscErFTXzBpY379S6QGkdgyJnbTIiU+IKqss5bmjI8hzrZBzQEkfmrVgjlMmEvymotuDqUse893gXWB8VqCB112wI3Nnb42Q2Jc8yXG3Jipx79++yeekxjmYz9g8OKAYFriy5d3ifJx67xFPPXWUyGRBwLKoFVV0zrxYsypLgPZW1uKpGK8PsZIrJDLPFTDZh53jrzbcwyqARXquiGDBemzCZTMiKEcrkBKXQ0f0UlMIpib+rrZegcA1GK9YnI37up5/nP/3+iwRXYoJnZGQuOCcJEFXlCUVBlg8FTFlPnudsXtplMB5xMHsnzqPWwp3ey0qtftURlRk59yGO0Pnxvgwsq5FE+2dLiaF9Jzkl9jExsC8L4vO4d847xNJrYokE31FE05pXTX+WPRpNjzu3blQM1T21BaE9K1ZUGpfPPdOlE7q/hP4QqviJSpLBN981+lbns0YurxyVtsdp10eppYDzzn6dziGIHIjjlvbhpOjJfqLJ8wxrK6bTE/bvHHD33gGjwQjoKNNN4+0evGIgTn+uOgOqls9vOtT/7EFHAjCqew/aF58Gsvn84cEOPAjwxEKQInB13JAN88WC3GQUWcbOlUs88cQTLBaLJiPJOScVlQEXeXSAhivGB6l5g4pFJYuCzc1NLu4+xsbGRsPwC6BUYDwecngYHz603CtNHS2tAC+VnpWkAK+Nx9S1p3Yh4t6zQ8e673k5ELgpxKlULCQqJxqdFr58p2O9IBWJ3rKUTdVB+U0xTt1afxLwUkiwc0pcEq+6igzIabNQzZidlXG1HJOTwOdyangXoHTbSNuIgLU2+0MpcWtlmaGquiAxApbYV0KIfCmqcSOlvrQASmbt8pi37sYVm6xSEj+mFBvr6xIXo0BnKmbNRO2mE0indArilowpIRvV7O/tMT8+wtqaxWKGszWurvn4xz5DsXmRe0cn3L17h48+/2GCg5//l/+SV7//UrSidQjvQrvx0QBgFcEnTSxY15XaO0J8r0GcL0qruOV3N4v2mNqK4/mM0WCDUWYYDQYUmSY3GqMUifgyAUEVQXDqm1IGrRWH+8dcvrKDMv17yDuEC9tbXN7d5fb+AmUGXLh4hRs3bmKUp8gytIE333qDz/zRn+SzP/MC3tVYr5nPSl5/9Sa/9fnfZDzKOdy/x6KcY3KDzsTaqLXUT/OxKG+mDfhAWVdM5ycsFgsZP5NBBMYqU6gsQ2uDzjJ0nqNMhlSrbQ+NgLzaWslCC47ce3ZHhrVhwUB7Lm8bsRipEdnldVTwDIqcosgZjYRZezxekzge4NknrjJaHzMtpeYaKW0+uL4Y7ICZs44zv105N1YBoxWWimUlpqOI0RWeS/Ki12ISLmkiN3IsxfckJa8Fdgmkv69D0b829a+7H7Rby9lAMqje9yFuqMu96hsxQnOj0CCr5st+fzqCOp2arDWhB5ZCM+wpzimcGul0B9X949S36S2chgih3RZCd8BWvlFC8DhbEbylLBfcv7fHydFMXLxaE5wTzwjNg9GgptCO0dlCs/ss3YeJFywV+z61NpbbTXtoYv9sEFzUVhOtP6Ft27cg9mGPBwCeKMxlC8IrzXw255133yPPC64+/jiTtXXKspSMqBADU2MwoQ8B52mDXZPQjTNqa2uTnZ0d1tfXyfOM4A1VtWhQaxLIW1ub3Lp1sz9uEZFL1ojBOYs2FpNn1Lbm3Vu3WFvbJMsKGivLqRE++xDrgieL5nWxcuhYyVsGPaiYpt0FD9HKs+wqS3fLItleyrLSSnh3UgxOAgK6uzCa/icA1Ali7gQgy7C0vydA2Bv3eE43fVysLdLvth8+YodkGRI3YqYlINTZBDD6872xRC1t2Mm6FzqAVXzNOm4wKs45sUjpU88Y10II7F7YRmdacsdUy5HUQR7NqDfPFMTtaIDjoyOU8/zeV7/K17/6VayD7732Jr/9la9TqYzaS6mQ3xoOUD5wMpuTK3E9gettlLIvtrtsIjtI2XE0JG+rdo6WOThEQdPUv1lxtnU1VV0yUZ6BgTzLGA8Liiwjz3KUknKbIXT6pmMArhH3j44kZM755vemN1pS35+8doGf/NyP8lu/9z2y4Tqzw32GRuHyAh0kAL+sKl5/7Q3eee8u6IysyKnKOe+9e4v7+4ccH4J3FVVd4xclSimsqyIQEyuhDwEdkPmviW7SGPuVgLfWMX5sSJ4NMKYQq2UE1SFmW6ZAzZSJF1yNq0rqkxOe+PgzrI0M/9H/4a/hw1/GOycusly4okxUKrQRF5tWGh/gZOGZjAzDPLraQ0A19YpaJXP5OMtNHlYB2XNB0iqpENqP47xv4/KWZEt32p3RVPtT9S95CEHSs4o/itTpdKEBOb0uhuWz2r86CuTp9iI4C6c/b/obup+ffazqQYpFlPufurn8CG0sYs8SsXzHzp7Xa0o1X/Ze9bJq0utoBy2m/d4HKdr7R3/yc3z6M59iPq85mS74zjdf5Lvf/i7Vou7sYyrKmCXQHDhNO5DutfyzeZAlYaAQYHLKzE07iA0aj/3oo19pWrUjoVKWM9Bamc5XNtJxLuBpAJoW6LUoS27dus28LDFZwcBItoxvYkMU1lq8czFoCqxtayhVVUWeZ1y+fImLl3YYDAaiuXsv7hFaBJ1GMABra2vStveNu0clEOY9DsmEcc6itMXbwPTkmJ2dXUDhAg0iP1PT7o6vkmcOLjAYDAlBtLvkWmrdNp1speTSCBCCw2vRrLQxMe5IXBZyjyjI6Qr29G5jBzrxR8lSIBqEiMnltPTUbrpKxtQigcn9+bBsEUr7cCvQ47M05M1986fRGpWZRrAmw/hytpemaaK3Qa1yr60Cba3bCxKhVlXOubCzTVEMqFw3xJLOJt1axVqrl/zMM8P2xjZ2ccxjF7f45Ec/ws0bt/j6t7+LGRi89XHDsIS6ZFEeM9AFLhjqUrhYlNYoI1a8ZsQDPXN7QwvfBUbL22iz4wt4VAqCs+iOAOse3om2ZowE2Q6HAwZ5QZEbBnmGUgHnaOZ518IkBJfCgbWztYXJzMp7AOS55smndvFfmnLn5nvUdUmmDMpIZqMKHhMy7rxzk7XNbSFNDI79vfvU1YJCe8qp8PMoYjwfGtMEm0sAugteMjetQ8U6VRlpj5R4vVxnDLKCYTGgKAak2DjvHSpYgnMsFgusTVlUARNgAngs3jg+96MfZlBohoPxmc+8fDgfWBxb1tZyAGxl0crEsjitle8sYPDQKdhnWEka0HHqiCpwT3Cn8hbp7/gz9AFt77Zh6SetstNcFffNVc/ntW+ARLuHnD6xu4/07o8AQKU6z6KgtSd1n2T19f2/Y19Cv4V0NHxDp/DQ6XMDrcqhuj87yQn960zTp8YCA1F4L8u0zpg1P8Ut1jxTD1R17r9E9pf6ppPMT5crhdGa4XDMs88+y8b6OoOiJs8HOO+wdY13vjFQONdRXjsvo7HgL4GP5rNVIKY3LqkyfAIS50BM3cqiU6i0+2eXxy4xj7M0AOcc5xcPVZKO7lDMFnNuvXeX0taAERp4Hwh1qlIsQi+5tVI/XRzY7e1tnn76aS5c2EZngbKcSRDtqc1dN4I/xcYMh0OyGCyqY+mFrovGOQl4VMpiVQVBs7d3n6efflb4cqJbq1NtrXeP7uCmOZaqJ+8fH7MxhI2JaJXJPGxUN2W4DdhV0VqT6O4loDZahprbx77He8hzLA1DMhmrTh/TvOmAC4dDebEMhKb2WVspPUXstwuvP3atC6x9hi4gaZB+XJQheHQkk0wMxi2YTPZIuYfq3Kf5rANsgJ6VKS1g0wFjAShtjfOe4XDCB577AGsXrvCf/ZP/L/vHJ5KlFi09yRKWrlMpI04RC43G1GwbsNbz7DPP8Zf/0l/hN3/9NxkMx3zqs3+UbDjh3v27HB0e8OxTVzg5uct8seDF77yGVgMuXLhEWVl+/bd/G+tdc684Up3Nti8JGyt0Z7KlvmpE+GulUDaWYVkRJxGcp16UZEVBMR4yLAbkOtIW+qZioLjxTPL0x7iIYEEFnnr2Khvb6+fuPQr4iR95getvXWfv3j1m05J7e8e8d3eP6XRKcAHvMt7+wXeFhyo4rA8onZHFuWaCxzmLD3WcI2Jp0iYjpPeFKAU4C064cFRwKBVQzkW1xpNlmszV6LqiDh5VGZyrsVWJrWL6fxClK8sNw9GQrY11drYv8OTjH+XTn/5A71086AgBDmcl3niSoc7WDuXj3hRz01VXkXq4ls/5bkULp17SaX0/decsC8uqT9U533bbOdOVpFb8VKx+hAjsTwHAZj30JdqZ/T1nwjYWnKQ8nTkWaul2q5+vXXp9Idp9hpZLrc30DVGzVMla0gOBbXkbeZx+H5MivSyPljpEByquBJhdRXZzc4tr1x5nY2OD6XRKWTqODo/xQcWkGIXI2+hGR0UqnrhzRI6xFkh1lNYGnCx1rTHxn+oyyRrTd0Q2LQKr2ozPG3mEemOdrARJ23yIRXgu4PGIkD+ZTrl7b48yVhcPQFU77t8Xev+8yMmMWM+b7KMYALSxsdWUqFBKrDC1dXHTo296CMkt1LxpCJ4sK1hb2+DkZCofhTR5DCE4uZ8PeFujIjnf7ORYAlZrH8dRdYc1iWUSYk6Lwav0KkIEpobKWQmA1obEESIp3n2rhbwf1fvMe9+86B77ppJoiwT4usBAJqwUKDAdEj4BYlGUdz53wUe25X6afRsTE3ejQBMblWpe6ejmSLfo9kHmfRw3HyI7sJfJ51vgnoBWWrTtu4vpyM3m1gKs7n0a0NPts1J457HBM15b5/GnnuPaU89TDMdkb99kfWOTveMZWglzqAo+kuglcBEFKqpZgyqSMh4cHWO85bd/53d56dvf5ejgAFTOzXfvM9naYro44fj4iHdvPEWWafJ8gDY51y5f4dlnn+edW7cZZjmzyjVBln3Tb5KAabYtSwj5LiBlLi5evMTb79yO7hlHkRc4Dz5oFBYVYkyUh2A9xSBnMB7LmopWEhdBrkrzIji8iiAWMLnmiWeuMtkYr7Zy9g7Fxz90jY/+x/97mV8uMJuVvHPrDjfffZfDwxP296Ysqpq9vT3u3t/jzt199vYO2N87wFmorJciv6EWy1ztZO9wAxZ1QJuMn/jcT1FkGd/77osc793HlyVoyYYcGNFPjLNQO+zcYtVCaDG0ZjwecPnaLlmmWVtf40MffJYLO2tsbG5w8cIujz12ia2NIcNBQZ5rztoMA2BrKVIqJJ/yZvZOFtRBMR4OGA21KFWNRtn+6L7VAP39bOXdVo/32d+t+Dws/xFWftXEgy1fmlBSD2i0gmSVMO633llTjQX19P7Xb4TVwrxzg0Tw0dho2n9YNQ5nzeLzRnlZiVwd7NABNp07LbeblNukLHbPkfu092goApbedbpOdxS29NipxQZk9+RHH1ukO6XsUqVqLlzY5uLFCzFTSzObOuazRfu+ErBRIdYDjM/SqEnEraz7bhv0cjrDfxmXdX9v5kf7+zJxYeCc+bPcZvfc9E594Pz19xBMy3v7B+wdHGFdTJWOG4JzNbUTM3LlK3ItGCfV3dJKoXUGypPlUrIgpcOJ8c50+iYNtxOiBR0ERVU6imKIUkaARxDNWhtNCDFmKArY4D0ex97eHoOswLoaFWK1qoQOBSH1AUszeVJKdYxBipPZOlA4CU4OXkAG7YJv2gkhaoWhEXViyQqn4m2CT/H9abPpby6pHEKXYyeZmJZjedIwpqNnMu0w0qbA6e55/b2nExOzBOi8j+UkPAQtMRic2ui6P0NTYLRN2w6kkgDN/ZvHCtE16XHOs76xxdVnPsClx58kL8aNRpjnOYPRUPgklMZ5GwEcnT6H5r90T0LAEcfTZJR1yZ17+zx26SIhwKs/+D5mUOCVWAzffPN1jDZI/SRPFjzaFFgLyuSQmKIfQrM4fURN0Cisl3UkVhrHYJgzry1FZlBUKIYEHcGbD0Lpg8x/7ULM9JLswEQ9L1YVT1lXqEzz9JNPngI7IdCxSnaBsrSRYpqNVhSbIzY3n+KFDz3Ve4YQJFB4vqiYz+bMFwuqWmJdqtoxnUn8zqKsODqacng05zd++5u88fYtfuQzn2ZYFAy14fD+XX7mp36UxWLBk0/usnthXYSAD1y9dokiz8hyw9FRyWRtwNr6gMlkzHBQoGNcWe08xojboXYy9yobqBcS1D4aZA3NQncQvvfKG0ynJT/2ox9FK83Cg1UZIVjWMjnfVRIrGEKHaqGRNKmO3fm8IKEnwB/2WH3+Chhz6myBDmr1OWr5s9bi271HAoDtx63ATkK3Ffyreh+aOndL2GzFuQpC2pu6An7FhQ1o63zUWFtP3+RUC1F4r+pO5CwGlqvfnM+ZrJQCneBAF52kUWsBI8iequOm31p0o9VTBXxMkNCR9Dfdo7WktzBHKhSI0hhipvBjVy6xvbOFd4HMDLl54z7zWRnr+EVeMJYdV0n+dpI/Vj7rqhEInWfsfdwZEd8oyqeYmuN9TzWtFKhkGEgfdVyXcbyUeSDeOR/wTKcVh0cz0eBVeiCHjQImoc9AiLU5IATdxKUYA7PFnLIuo/9eJQvVUsfSjGhdOyHEeuzBY20drwkQwYuO49AWu5QsshAU3gbm84VYZjqZRjSvNrXVLvSGRDT6W5NP3HlLrWoqqyHUUdiryArbFttM2kPja41cM42DldPASH7pChrdmUih2UzSC24me8891ozgKQAk76PDRhokMNPE+BMpXRFBlW4tL1rLM/iOVtY+mxAWSqZdC6BSLFb7LAJ6s8gV1Ddp9zVEoQSKZQesZ2tnl2vPPs/ulScw+eAU6s+LgrW19VjioQu2OplgxDivji8xvQlPYHN7h43xEGNL/uE/+I85ODjgn/zT/4rPfe4nCMFz7/49DmfHeBO49c5tMpWzvbXB7dv3OT6ZsX9wzNFsJuMeaGN2HkWgBVjM59yalxgjNZp8qDFZIQG5SkGIvn0trMOutBhgkGXoIEG/svd54bYxkYQveOrg2LiwyZVrlxiOhyu1p8XCAopXXn0Tjef5559mPD495qRRVP1PZA0a8rURG2sjkntWKaitpVxYXA3i0tJYF3BuzKUfvM2N69epyhKtNZ/7ic/y7//df5eqCtS1YzzKGBSK0VhhTGtFsFZcXCHAdDHDZFLzz4fAtAzcPZrxm1/4Dq9fv8OTT15mb++IajplqDw/85Mf47M/+gHywvQe46WXX+OLX/x9Hr/6GNeuXeCk9ngCV3fWGETAY+McJ63vxhXfum1PJSo80JLWmQjv4ziz9bTHJsEd4MwyAEuFQLu/r+p+76O4oM5yIUkbKqEmhG2qL/R7R6cPp++9DFRZsa+cefE5PVzVjY7oVwk4pnZWt9SzNpxh7W9+NgpxF2KoXnxz6O5r8X0uxzl29zvdtiIlgbTi6tXLTCZjqlLi6Mq5o6q87O3ed+ZzOPM9ngFhTinKci4rB7pbS6z7dfd3uTbNk2XhtppqICl2CT6Il+b8N30u4Ll7b18sO9Hq4Qm4IP+TCM2sAxdQuq1NlVKSdSYuFOssWZ63Fo+uZtF5sQHfBEB3Y0zAkxeFMAt7iXFI4arGGCmj4BUBjfOS6XFh9xIHR4cUw/Gy9bb93feDDyV9OSLHCMC8qyFTWBsojJYMkLgSFIbkhuv9n54pvQgV2ZEjb408VxLE3QncfaPduKCl0gtedcoytUuxBymUWNUErIrQVDrW5Moi0DEKVLSD+KWgY3964vhIIOl9C3hSQLp831oLUnZN6NQNWzZ7S//kdfgQuHjpMa498zzbF6+iI0BedYxGQ65cuczL339NBE9Q7VCqjgm4WQbpZ7q/5v7BHgf3Hbm3/Of/2X9O8I5bN27y4re/y9bWNsPRhMcee5q1zQkffO4F6sqSZRkf//QA0Pzu7/4eX/3aH0iwXRQq4QGL7dShJMZtPB4znVWojJhBJOy/6Qg0exL1vMSgyFES7BvH0Xkv5IUqUHtL6SxXnnqMS1cvnsrGam4fh+iVH9zi+Nhz4+03+frXX+JP/5mf5vGru4/2LE2bAoK8DxwfVti5xtaaRWlZVB6vDTeu3+Ebf/B1bt66xWw+x1eWF7/xbbY2dvnsZz/J+lrBYu4pBo4Nb9jezJu28zwF/sP6eCLjEwLTacVrr9/ml3/j2/zuH7xCMVjjjbf3GBaGtdwwLhS/8Vvf5PjwPn/2z/xEszGKzM743stv8P/5R/+Kv/9/+lv40YCt8YCNogXrwhdWRx6spe1kpVp5GgC9X2DTabFpY3lLS0fctlbcMbQrIG14Sy2Ejgum24CKFohG6YnnpL/PAzzdTvhGSJ5rJ6Ef5Ns81fJpHfDQft1aD97/kSycqxt6cOtnxdZAd66EBjursGoEVfNsiq4i3K6x7rkpJEPwpaPIDY9dvSzKgFWQGWaLOiY1iBVfEot0ZOxvGJAe+HyxEyt6fNas7MjZ6DZrwizapz31WXMEtXJvTZxFKZ7nYd77uYCnjkR+AnSkKnVC6EmoBe9JtWi0UmJeV8JDooIQn7naoQatdUcaSNacZFmQ7Ifgl90d8nKSVaKywlqb2nJesgWsdxSDAVceu8oT155hY/OCaIPOQ0xhhSQ8JLU2uXoiNhEXjRK3jYrWpMEg5+LuFrPj+zgvxUe1SS4705DsiQ+2Y2JLYC0K4IRyu6yiXSvH0huWfxuQ0G6eDagInUmuT/tTU6pqihVqF4mQSfoQUEEsYgm0NG0jWU1dnh5rLXVdx/Ncr2hquk8TE9Rx3XnpjNRSa/oWs8icgLmLl6/w5HMf4NLVJzHZ6hpP3WM0HPDUU0+h1FfiWHYFeuj8324k7WadODXEUqaV4mtf+zo6OOq64kt37qFUgVMGNRiQFzlaBypbovNMsgQCLBaL9Bbj3UKzoCWoPPbmzHcsn22sb/ChD3+Er3/jOzEQ0ID2aJ31BEljRYhz1sdAfQBvFDaT+zoqUIrdx3e59PjFHgN09xB3VmBvf8H+wZyNjU0+9ekfpSwXVLVYYoxe3e+HOYKFzA0pjNCX6gBKw6J23Lu7z7e++S32jg5wIaBswFw1/A+/+Ktcv/4ef+/v/WkuXpygcxgMHryNhQD/4n/4Ev/qV76GM0Mmo3V0lpPFgO5yMed474C3j++yOV4I4EnvAPiJz/4R/s0vf4lf/ZXf5NpTT/J3/s7PMh60gDsEmM3nEKQqYwgOIU6Nc2ylJr/avfV+x7PztM2/q1pqlcqO6OlsTS0yWGpVhQbwhOgqTic2dQA7z5r2/wc9k4xH1/J7/vvsWTZ6aEYtnSf9bWJg0M31DyuzH/VQzT8rv+n1DVg5L3RjcG4TPHr1QJoWQ7tPxU9aqBntOd2YMpFgaB1QOnD16kVe+NCHWBsOKXSgdjmzmQUGhFD1aFGCI9KtqM7/NLJn9WCsGojVdBqNn48Hv3+1cpDDcoJa55lbK5dK7uZzjgcELctDO99yp7TKs6S+4YWfRZM8LTGmwCuCVdSqpK5qAUbdzTeOZTczSClIhaKWGEIYJAtP8GIBUqCCWHwmaxOuPvY4Vx9/nPHaOnUN1laU5YK8GEgcRuT+SCb3ENPgaczR4upQyoO11LYEAk5Zbpzc59LuJoMiI88UOtZESmAnMyYSvEUDoO9aM8TSopsRbV9sLzanAZKht6k076LjLgohyAKPl/kgoC4102hqqrNEtKGxLkeA6VyyNGkkSFpJDFTyo6sMje4tYCkb4WOb/e+WTa5NBl3sf2KjtnWNNhmXLj/Gsx/8MJeuXkObsy06y4dWmgsXdqI2l0BHxxcdWgLCZB1r14EiqjeYPOfxK5d57623+LHPfIoXPvJhfuXXfoM7e0dMNjdZVI7KWrQGW9dUZY2JnD7CutsSO8rYRGsA0FaSbzq1ApQGTk6O+eY3vxl5exy2KpnPjsg0GKVRwXTOjxXC43MPhiNhF88yBsUYH2q8P+Hxp3el/tVyvErnvmUVeP2tfe7dnTIebqDIKRcQKLh3v+Lg8A5Xr26xs5WTSVGzR5YjeWQa9x4yDbmBysJkNKQuFzjrQSsu7F7mAx/+OATNl7/ydQaDIX//7/8cOxsZmV7WZk8fZWV5+cVXuXvrNpefepqgShazA/anJ1SzE0ZZYHdrxE//1Cf5C//uT/cvVoqrV3f4i3/xz/PNb/7f+Wf/7S/yiU9/gE98+CohwCDPyHJNVVpIpSwSuZzvsAXTt/Sc6W75n/s4S+k+75LGArR64Jct2svPDV2hLxYF6Uo4Q1C2h1jxPd2YoHDKRH8aZC3HzPyhjP37GDs4GwCqrpbbOUIDNvon96JoGpyqzmhfBKpSnjxTfO7HfpSf+2N/nLVoBXUusLWxi9JDAifR0hfRl9Yr0/nPe1WPAtxV3J+7z9+zzrVPSeOWWrJSJo9J74nj5tqh6Hng/DoX8CTNFUIiOaYJOFXCvJua9yGgVX+RhCCFdlxdkaK+Q5B0dsmiXZ5NrYDugwPd8IZYa6mrktF4zKVLl3js8mUu7F4kyzKxJlmJSRBgVEtWks5IEZgpdqd5uhC5aryntjUEy7DIWB8Lz8naZMjm+jq4Eu8WUl4gJJebxwclwk8ni45qLEQNAFABs2IDaS087bMvsx83Y7JqoYQ26ynVsEpn6UjO1o39EdCzgr8nLSKdzJ1KMp5o3VPJetMcLjQV4tvn6YOd1MeUIm+tIzM5V689yQdf+ATbFy/HzLdHE6VKwfpkHNtv8ERzPzr9aN2lcQI3mSuK2jtu3bsnbQSF8oqqrlnf2eCFT36KoDRVbQlac+Odm2RFztXHrorFKoL0qiyZzefUtaRfO+uYTU945513BJzQ3ei78z26bOOYmlQWZHHEN7/yGwy0JsOjdCEbvtYsdOA3v/RVbs6mvPXObdYHQ0b5CJUNMcM1RuMxu1d2KIsZG8c142GByQxFkTEa5milqK3n4GjGjXdn1AvNZLIduTgsShtyI5wuWgfu3K24c3fGxd11dndMQ9D3oCNp6fkQcAghcga+hjIoPvnpj/HUk09w8NLLrG9u89wLH+G4XLB/75C10TqvvHqTX/xX3+Zv/81PsTY5P69ClFDF5z77SV5+6fu8+/ZL7F7Z5VMf/whf/vJXKKcH/IN/+B/xkz/+UdYmQ7RW7O8fc/vOPa5evcz62piTWeCDH/kAP/LZH+GrX/sG/7d/8J/w8Y8/x+bGiD//Z3+WT3/iWWobIndQZ19MQPYM4bo8r1fF+ZzzZOdaKs7RvTsd6P8M57SpGjtpih1M1qt+Qx1yeXGhJitz/NmAjfizEWK9nrctdocj6uudfUbO8g2Ra38NpeSS2OveyKyep4GHGf7+nvaHA54a5Yf+eIgwlz7rjnVFlGdNu52pUxJEpQ4iSm5S/QZ5zkc+/EHGg2Fzflk5bt26j1Y5xDLDKA1BMo9DcEtUGJ3xXmE1OWsf6L3PtA8nj0nba4j1A3uzOMkppftrJXTmV3OfToC9aj970HE+8WBqJFpiUkn57g2CD5HaPxbfi0Ja5rxHeUdVldKWk9RU6z0+xGBjrVvh2tw49CaFmN6kBMXOzg6XL13i0uUrjIYSiOl9wNqoCfhkmhVyMmsrtMmbBwrBoXxrmva+RhMYDDJ2ttcY5BlFYcizljm5LmcYJXxDCt9keshklGwYJ0hOgkuRKPkUu6OUFt6e+Egpu6lZAF3rSNSuGg6ZtGWo1ci+iZlBxqhbw0pr3RA6KVoAJSR87fXJ9NBuNKZ5Bz0g0bmfWIX6m08XgKXPnHNSsDHLeea5Z3nm+Y+wubP7voBO95kHgyLdubHcEYi0402AUwNC0xgmbSlEEDItS4Yu8KXf/iJ/8JWvcWQr1GTMzd/4dcgyLJosyxlPxhhjeOvGOxR5wWA4IM9zRnlBkRexgrtmNDTsXrzE4fEJh/v7ndpj3aM7bukfj8IyMQuU3cNkhaTbG7GolZUDrfjF3/ky5itfjenZBh0GBIZUTjPZvoiZbDK3NRPmbI4Cg4FmNMrZ2dmkyHKmszn7B4cMijWKbEAeg9etdQwHI8bjIVlmWF9fY219zHA0YlAUFAPPlSub7O5us7OzRp6bZjy11k2RT53mjAe8FO/UA0Weg7cBO/Ns7+zwkRde4AdvvMmzH3wetObOvT2Ojk7Y3rnEcDLh137jK5T1Af/+v/fTTEbZuXNlODT8uT/3Y1x7Yocvf/XrXHnsEn/uz/w0X/upT/B7X/sGn/vxj7KxPo7CC965dZf7Bwe8cXOP4DM+9sJzPPvsFv+7/+BvceO9u1SzKUcHR2xtDtndXccHcWk5W+N9HRUkoWhoChT3Ntuzgc3DgqPledI/+cyhOLvdB1yjO/tTe237M1l9ksU6ARm1dG5X4i1/J0u0qxAvu0BU847iGbFvirCUBSZ7TSftvierzxr7BxoATl/TeYD3t1u1xyqrXxdPqqA7I+ol+OAUaG1dW8nIL8tQXNpaayZrI65cudybU8cnM954421CaOstSryqRpGLFyQIZUlYkk1LqWqknpyeny1ga0MoTscbyT18hFOheV9d8suepbAHulO/+jJpOcPwrON8C0/HH+28Izj56QlY56XqeV2jtSfLMuq6lsyZzlHVFYvFQkgD0+avdMPerLRuuXsa9N8JMI3/jEYjPvGJTzAcDNBKU1sb073TWQqp5R4aNOicY3NjHW1ypvM53lusK8k1ZFoxHBZMJluMBrm4qaIpTWkRPjq0LzAESW313oP2wo9jVJMe3nQDxLqDaB8J9KTyH6ReBgi+Dw6AJkZD62WA0T+WzcqafrkIOgAquXTaIGiF96rVLE5tdGKC9BFEJGtGyshK8T6o+J5Uf8Nu0HlQZFnB089+kKeee571rQs/FNDpHsPhEGN0ky3Yy0ajDZ9T6flV/DS0jKtE/68PcHn3Ej/3J/4E/+rXfo39quTChQsM19Y5XpQcHR9z7+59KcegM1GM4oLXkZnZZFnzDpPbz5iUJ9nXTLtHYy0goLEoFTAhoL3nwvYFfuTHfhytNeWiYjjI2bt/l729fbI8p3Ye6wreuTMlrO3wl//Dv8vW45f46jde49/8s/+a7YMDtJsRvKPIMzSKqqqwzmJ0JgVukcBpUHgnc1ayoqJrQSuyXBSGrMgwmWG0MUYVGZChMBhdMMgVAxUYZAajM5TXjEcT1sZDtrY2UCYjoCjLiuOTKTdv3mRn9wLeOU5OjinrBabQzKpj3nrnNar5jH/8T79LWZ/w1/7yH2VtXJBnsl3lRU6eGVKZsIACo/n0Z57n059+vgH3f+xzn+CFDz/NYJDjQ8DWAW0UH/rQM2RGsSgt128c8D/95ndZ39hgbWuT/9Vf+Qu46pjP/siHef6Zy+xsjZlXnumijK5eYXtvmHg7m3ErzFav2YfdlP9tH6v3kwefo5VYEBLjfFe3iNqG/NZKSxQ0CmIKi5DfYVmIrYp9iQ1FZbXfvy7VRdvG6XZT22e9k7OOh3VL/tDvtIsMG76d1S5klSRctMijoqKhImGpgiLPuXKpBTwB2Ducs79/hAK8r1DRZR6CwnsbNyIDCYC0r/DUcIqYXB2j1leMuw+33EafQqCbGReaj9s2+m8hrb42U/Jhj3MBj7UWVORFsRKs6rzHEXDOMxwO2dzY4PLFCxwd7XH9+ps95twQAnjY2hDt0nmP1kYeS6Won/bVdudNaKI9RSDrWJDTWQmg7hoAQ9Tam4f3kn7tg+P+vfcYDofkRc5wmDMcrDPMcgpjSLE1OkgcUqqqLkHY3f6E9n+FCM0QLSBKXHsoSWVXSmF8SopOG0Q6lmJcaFPBTzMc97lr2jif1s2UJkOyrHWDhTtYrQeqVGPNSdpUf+q2GmECO30rzqnzugtTBWztqK1lNBzx9HPP88SzzzNZ32wB2B/SsbW1SZZlWGsbjaSn5HV+aqUJKnJPAFIXLM69IJl52uTsXrjEwAy4vLvJ3/zf/nsM19aZO8tsPuPo6JjZbEYIildff42vfe2rYh3JQmMt8iGCRKVE6Dcbw6r6WB2AGPuUchkUws+xWCz43ssvg9Jsbm2ztbnB1oULTDbW2djYxJghi9pw8wu/z+Zj13jyI0+y+XjOMc/xy78wYVEeM1Sa5559ig996Hlm02lMNAjMZjPKsuTkZMqrP/gBeZ6D8qxvbvDU49cklssH3r31HkorKcrpHK62lHvHBJXc0pq6sqgQyLTC1lasl14SEFQI8o4QEk2Po6wqlDJkRcG927exIUg9LlNw+/Zb3L8jAF1r+Ef/+L/lX/2bX2VcGPLMkOc5WzubjCYT8qIgi4VJlTEQINcGG+fseCDWqiwf4GrLe7fucvnKDteuXUEpw2Q8IjMFd+8d8O3vvMqsnPEn/tRP8MmPfoRBrilD4PbBjPv7C268exuUxmDwOmDwUS74xpIYOi6BR3FnnSlUO008KF5muf3lmLpes+dYk5Zd1D2lqrEUx+BbQrMXdTX50CrtjcIRAhhaV8UZMd1nDkPCMT2tvndGvLeCEAX38qiuGud+YG7cE9vheN971qOAK1H+uwq+arwVqa3m/y4niQqSbUvAKNck/EzGYy5duNj2IcDrb91iOl0QlBOwYxTei2IWUDErt0Mg2/RuxYvqfd97wqZvDzVukVw3dHbrZc/XauCX7tElfUzXng9+zg9ajoGyPmn3PlA7YZcdDUdcuLLDIC8gWEbjMUUMLE7xHlK0Uf5XGKmSTFt5RCndBECnB156ps4fJgZ2JhgRT0/CHIVkeUlfC6MZDgsuXdxhfTKShZlJaYhc6YbHRywxbUB10hBSFLvSmsRYKvxCAXykwY/+Rol1iZuuChgXItpuuXRksiYjcJwxKwBJ0kTa/5cnz7KP/fT/odNuF+WnB5TyH4nUMFYa7yIkBeCbz7ogLb3ftPm2G23AOsdgOOLDz3+Qx598ltHaeu/6P8xjMJDaSovFIrpaffu87bpDoTAmE9ATY4mIbkmFwgD50LB3dMQ//i//KbOqYqy3eeXFlziczSgmIy5evsTe/r5wSaEYGAW2RmcGcGn5SZBxZyNu+OlWLOLmSBsrMrcCCJggMJ/PuXnzpoCoG2/jnPBp5HlBlmUEjICeynDw6nf5xf/u8zz90Q/zvVfepjw8YDwQE/fe3n1efS0wHA6oFiXOObIsIy9yjo4P8FgckuEwGBZce+oahMDaeI1rT14jyzJOZjNC8OSDgSQQNKnuUj/v1q33GI8n/M4XvkhmDCYz2Npz8fJF1tbWWF9fZzo7kQdWhrIUy9m7796SiunOg6342AsfIc8NtZW6ZfNywbRcMJ9XKOuYTmd4JSynAR2tBjb+VCiTYVMGYwDnLAQPzqKDsMEPBjkgfF2gqCuHdY6gAl/80m+ysbMOKrC+voHCMJtW3HrnpuwvIdXSCq0eRP8FyzrpCOEzLRdnHzITWmGzTFrabbef+NFfr6uOlSAotJbeLrhSSjWWSq3aZ+sSn5om9Sj0tVYS+GklpOhtHqPOB4H9NjqUGZ1n6F552gWSQFKr2PXuFfeIbhzJ+9mnGvfPkvVpJSIIZ/EGtU+WxtT7tL+nNpOlTEBPCAJaTGYIzvYU/lSQu/0k8OprN6nKihDqVi7Fcg06ttcZls571B3upFOdXvWQbYc7Y3T68ghSTl3XH8wuaFt1rxDSOYmO5IcAPK62zUTxzuNdYDSesLW1xXAwAi8FDSEwHI3JB4NYvVwynoyCPMsjc26Q6sSNAb91uYRmfNqF1gS8NZaeNHCSJeEDCCmbj2XiJWNmUOSM1yZsbmywsTlmVBhMIh9Uou0bpZqaWKjQVCtfLv3QDnaIAknOQ4PBCNNt1q06rkClitWJmDHViYoPkdpHzl1eiAlMJMCYUt+7wKIFRvLSfXSdxRI/K4+elQcVN0jVlJSQL9uxTmu2ywHU9qsdm7TRjiYTrj31DE8++zyD0eTfCsjpHutr6wyKggQenU+c1e1IB4gALRfKM+WFL4pIPQAxuzBjuF5wZXuH4+NDSmt5+9VX2Ts5ZFZXaGOYzRcobSjLBSezmZRSoY6kiQqdG3zQTXpsHGwZU6UAj1+17uUreYz4AkNQBOMxWoCZ9xInZpTCB9mcZEO0WDcljxHBX/7Vn+eLvzFhWloKVWF8Dcqxv7fHvbt34v00GIPzHqMCKoi1Kzjp3N07d/j8r/8GECT70KTsPs1wNGQQrSZppNOWlWUZd+/fobZzTDbEeUvQnieefpydnW2sc7g7Jc4FNtY3eOzqY+wfHPDe7VsYFcBbxmtj/sbf+ktcvXqVAAyGI4KHyla42lHPS776la/yi7/4SxEcOrGGRS6kAOB9o1AFL5aYhlU2xqXVVd2YDMTjGNBa3KLlbMbdxYxA4Ha4TYpWIbgYeJni/2z74lBNBmJ6p973XSjdfW35WEUd0Bc6LahZdawCQt01u3ys/LwBSf12dfxA9rAgbkS9nJLeRTOtRi77euhhwtARUl2L1apxOculdB6g617TfBvfdXt+o2XQKM8r2lsFVE/F4KgE9HpX0h2H5tPEEXa616jIhzMcDtne3mZRztnb24t7cRuHORgMKYohs+mMtfUJu7u73Lj+FrYsm/d65cqVXmhJ7QLXr9+SNUkdS/DomLesYxWoZOXpj4VHZGsLN09pbx3LSjdep43HOj3V4s7Rs0hKGz2uKZXu04LWpRHtXJ/m1fmmw3MBT1VLnI4xGWuTdba2t8jHBda6iDFiyYYQ8EoxGE6Yzo6bKuAeiaOpa4u1NtbTojMCkj58eiKmhxY0lIKjtTJ4JaZk5xz8/7j7ryBLkvTOF/u5R8TRqbO06Kpq3TPdGD3QwAALDNTdhdku1/hwKYxmfKGRZiQf+MKH+0A+84l2jbY0u2u2u8Au1C6AxQzEDEZh9Ez3tO7qrq4uXZWVlfLoUO58cBEe55zM6lks92LgM9mVGSdOhIeH++f/7/8pVZg6wUVJp9lkdW2FleUlU006iklQRBpajQgRQWm3t4AjQojI0NMWFNVzutg+uaRb9kdGDWJAxgEAkFR9dovZFZxywiFUMLSeW1DzeWwkYVRVlfemjoA1zi+lut5RmpOyQNIxXFhmAeHGOnwOENIt3rrmqJQiTTPW1te49PSznDp7kUar/f93oONar9ul2UowJUCgLHOM468dn5B9som2VKANAJbVEwYExYJMKwqleO65Z/n13/gN9voHEBkzVZYXFEoxmUz4zne/S5Qk7B8cEMURne4SB4M+O3v7Jts3oE3Im2V4jLaulJ4LeNAotPXXimRkQkSlqcpd5CmtRpOyzE2/dWQc/4WiyDJzF7sBxTImihoINaEZCSIEkSpBlEihvPN6KWKmOrHO9RlCZ4Qbv9KaLMutv0p9fvYHfavNmvQFLv2C/xEQyxihNKUuKcuc733/24AJ6y+KEueU2Gw2KQpLw8cRWipG6YDf+/1/y9LSEkrB8vIy7XYHNPR6PZKkgdKavMiQgdzQokQLx7pUkYo1gKGVff/10XdaonlQe8iZpIWw4MYwbibZZmmL4ro8V9V13LVmqfXHrYmw1Ev1pRna4Mdss4BiEfiqnY/d9LTZPPw1wBcBRs6boqSUVRoMHUrWsLntMlTw5kGe1lVyCfkYsLPou8fJvbmnFW57DdijHwN0hfdd3Bb102k3i46bHykjWq02o/GYyPrOuX4AFKWinE7QKPIsZ+fRrtkXLCiIIsmTly/Rabf9d4ejnPtbewYM6MLIfxFTam2ryEu0VGjL+NiZbO6rhK+wZYCdOV7JUnDgZTEABRFWgg+eWS18lw6szmACN0yzhzxQUh5gHdce47QM586d58KFCzx6tIuQkrIwgtDqrJ7JUErZImX1h3DshHN0XZj11WEbV6hSh09XNaWNWa1UhdXsTPHF5d4qy+02jTgisUVM40iTJMbuH0u7eVtTgdCVP4XfIM0d7ASeeQar4Uqr2cRxbFghqd3a8c3zCxY8LXqns2AnZE1MuQfn2Bt4/wgxw/TYMP9gEpprV+H/wodzUruOB1ORY6Vsr7VceK6j4Ny7TbOMbrfL8y99jDMXLpE0/9sBHdeWl3v0el3PBleMl0P7M9pxWZrip8JsVu5dOvpYColOIpQUXPvgOukX/oLuco8okXSXejSShtmAGw0++vzzPPXcC8goQgtImi1u3b7Nf/jDP0TLqPLFEX42gNZE4asySMhoZGfPkOc5D7e3iWRkYVtBJCX/4l/+L1BlQTqd0j8cMRmlpLnZIKNIMp2OGI1HpFnOo50dVFlwYnmV6XhqsjZbV7lcKcpCISNFgwKUySdVFAWxNHXtvJBz6Qbs4JoN2Wr1ykQQSiEQUaXda8d2aEwhV1UitUKV5rpCCMPwakBIiiK3zJGpy1cUOU8/8zRPPnnF0vURSmGcrIuc4WhAJI2ZrNdrs7+7Z7RYGyXpeWMl/HI2ICWI5NG6JhDrZiP3vqpNvRKgwo+PLclmN4YqLDq86mwL1+CPs4n/uEtqVuFZ5O8ze6/Q5F0BRXck7ITToN160tYkYn/cNWoT3Pzr+DfHCfp3NjMWAWw093rc7sXjx9Y/yYKxNNNbzH1WH0d/hSMZpeNuWuvToj54VszK1jTl5s2bZt4KEUwnt0maSCopJRM1JU1TUG6zN3UGz58/a/xKbXvwcJcHW9sGrLsIaGH9OL2uK3BFoA3mD+aOf6VVoWvHPLm/jwI8EIKX4B0Jp3TPyGlVuYFU13bAafE4aoxvql5EJ820YwHP2bNnabfbDIcj8/KVKzhmhYV9cGzHW60Wh4cETIEwYejWsbR6ua6jblJXonZuEViha8gII6C67YR2s0Gn0zbFA9EkUtCQEElDTycJJLHLY6gce4mL4vJZJ7RxvjQmj9L2r9IepY0ii21JBpdh2TxKPfGY33iZXXy69rlr4T1CBqn6vEKsdU2tbrt078EAy0qDMMDJORRW9/LP5YGge4lhnwOBZR1dtdasb57ghfMXWd04QdxoBbTjf9u2stxjaamHEaABUK51xe1MLkGg8lq6su/V6JqKsoDp1oSGkEzTlAevvGKSoBm6kjLPiSLjNJs0W3zv1beI44SsyG3tKk2pKh8qDXa9ONOtG+NKn9PCREB97JOf4uDwgAePHpl3EgScXbt+nSuXLnH2/AXOnpUM+iOiKKHX6/nki6PRiP5wyN9++ctsrK/ziU9+grJU1ndJmOfVmrffucorr7zMJz7xSbrdHg8fbtvIyoRWq8VgOODw4ACAPC94+PAhcRSRtNsIIVEaJuMx0+mEVqtlhKQygKVUpZURmjgyJt2iNGMjpDSpKaQx0aqycPlFK9ZSCG7cuMGdu/eIooRms0UUxahSEScm8ssxvZPpEBlrFKmJapRVHTcnkiQLsq7O0WuOqRHBWrNrimrtuSvWN58KyFJbs4vXwpEOq0d+94jN+8cATOHnFeAJr103e/mjwZoO5Y7nbpyZ1plgnUnWXdttTq5fCr/Wgl7NPaMRZ5XS5VQ6xzrMtcewOWLm39nNUFvwPTdNAtDmTXK1449vDiiFmMVFtEK1FyZJYiwXygQJlTaRqZPnbpTcXKtGsTSgSAlEQLu1Wy3WV9dqY3H/4R79QR8ojDKC2xcd0DJ3qPlkhmNVmxjORBkq448ZDJfixMpi72s2e5qoxtjtbQYAhaZAMffaBdony13k4hy2YwFPs9lCa8iyHF+hVdtaMp4GNCWplIZWp4OJSYpAOyGiKMuCzLICtacLwc7sLKU+ySObr+fE+hqrvS6C0mzaQCQhFhALw/rEcWQdcpUlu+zF7EIVIvL5gpSy5iy7cQohPRhyLEAkIuJIEPlsxQJEibZ2fy8HrFOjR6RCEInITiJV87qfTzDorlFNCMc2hb4BbhOvKGurifgJZcVz4DRZMR/V/Srb+yzIcYJNIEXsx219Y5PTFy6yunEKEf3XCS3/+7RGEtPr9YyJzvZFKQN4TXN0rR0Zy4oJJ2zcmGLeTdRo0uv2UEVBHEV8+uOfIE1TpmmGQjEZjSnLgrJUPNjaZnD3IVmeU2rDWsaNxBa1tCbeQAhJIXwMr3dbt30u0il/8YW/MM61gFZG65JW6yrSgvfee59r733AYDBi0B9SlsrPIaUKsjxHKRgMBjx6tMPhYZ8oimk0GqytrdLptFlZWwPDzXDh3DkajQZxHNHtdFlaWqLX67K/v8/ZM2dodzvs7OzyH37/97l8+TKf//znieKY/mDIm2++ycsv/5Df/d3fpShKpmlKlmYcHh6iVMlgMOTmB9cZ9g/5yEc/yYOtLW7fucOnPvlp2u0O2zs7jEZDsmwK4AvP9vt9iqIknRjHyjI3foOlKimLkiRpGD8tpUgiE5JeqJKiKLy/jElwWSIjY+IT0WInX9dUqTzgd06iTiGoa6wa47vj3gvVepYVaHB9AObWh1vPx62b8POKYVt83qI2f20nozX1auY1lbN+tnCbRqVEVBr3HISgJrjDwwKbeRwPNJ1k0Y6Bmq2wrr1q65meueuGbYF1SNf6VD2imANc9pnmlCTMPuCv9Lgt9IgW5K6Zv7xxW2g0Gpw7d55eb5kiL637SMSdO3dMjTkrQ7y3hP8FA+aFRiGQKNBmLfSWu5w6fbLGkNy6s8V4PEZQIKVJzaAxBYYdAeCJFzdOoYLt9fUgUeARrM6iualtZLZw2YuhSt0ye26NsavA9ywRUP+O9XXU1fWPasenMfUDIWaOVTSweQsmYimKEiMalCKOYkwBBLPp5LnxQzC+PTN0K+EU1TP/gikLYeriRAgSiU2YJm3CPYVEE0dYbTCy1b/xGY+9giYELnzGKd4isihfaFzYn4nuMcDIJVVzvi4a599gzXloUM6p0JZdiGIDnqwZQCk19zJmGR2tdT2Xjh0HF/aJDYWd/b5xuHYbaSWg3CVCKto1k5l5bima85TNbxPB6sYJnrjyFL2VNZ+5+R9CEwg67R5CmBBUpVwyOFtokvpM0k4jDZo3aWhNWRSMJmPyoiAvch7s7tBqd0k6bXrtFusnT9NMGsQyQfEG586dp9Vq0R/1+c53v0MsGhTWF8PkrbJO1ALv2CxsGKYHq7YPqsisxiMpFcTWYV0QcebMeS5deoKiVOzt7XHu7HmazQZ5nrO9vU2n0yGSET965Udo4LnnnyPLUsbjKa+++irvX/+AixfPo27cYjKZ0Fta5itf/SrNRoP+YMhoNKJUJa1mC7Sia8O9lYatrYf0D/s8eLBFu90mL3K6nQ4vvPACN27cYGVllaWVFfqDAb1eDykF586dpcgyDvY6fOLjn+Du3bscHhzy9JUnufzkU/RWVoijmP7ggCgSDIdDut0e7XaHvb19ptOUg/1Dms02S0tLxHHM3bt3GY1GLC8vM52m5Lkxc4lIUKqC6SRludNjb3+PUhvz2GAwYDgckmZTpM0pNCuMc8vabW8/QsqIbqtLoUqk9aUz5jSTGyn0n5NSkOe5zz0GxmlbSmnPFwvXibmGVYSiwAepxt5aNwDHTs7MeSGEiSzSWBk3v/Es9q0INcrw/ApghFq0+9ckTg2uPbNFuSAIv+BkXaEStkaXtOvP1dZz8mrmAUFVQitySvYRrZRHgT93jeqZnI/Lh2pheZ/gOT2rYVN2HP39ReDTNcNWxHFMp9Oh1WrRarZor3Y4ffo0o9GI3d1d0jQl9L/1AEwKn8ACN87KzUvN2toKJ09UhX/zXPPeNVMHUguNlgJBRCwSm1ZCmccRFZgJgYOv2Wjv58bCRcWGe9VRTvmumLgDvg5Q6QVO+MLe2+HQCmgvGk+H0gwAFAurN9Tb8VFavoS8eX5nW/X+Edo5wLp09BG9dpc0ndZ1AK196n0Enol47IME8Nvc11DacRwRS+OfEEeSWBpP8zhyCQ3tONjQbYnRNhTBnmfz7sSRs1tK+9/KBOS06CiqIlIEFl07NkXjzT0m+V9iExJWWTM1LltonWGZnSzuWBi14RyX3Rh43ScUktYh1SkVDvRU06sOKd2vKsyLZJkOVRqHto2Tp7n89HP0llerhfUPrMU2ER0e2FafaZ8SQfmFqry/QehwaoYjK3IDdsoCpRSvv/UmSkhEJImEJJExKEEzbtBstdg7eJM4SYhiCULYjQ4zv7VLiAloL54I66ThjwmUXRMS57AMghit4Stf/luiJKHV7iKENok0panfFkURa2trdLtLDEdj8jJnf3+PTqdDksRcvHCRJy8/xU/91Es0Wiar8jSdUOQZkZRkRcEf/dEf8eDBA/K8MH4BaWbZJoGMItI0486du3ZuKvK8oLRmDCGNX05RKsumGQZGFSYvz507tyxNr/jPf/7nNDtdY+Kym3232zH+U5Hk1OlTqNJQ2Ok0oywUzz//AufOnWX/4ICyKGk2W7TbLVZWlsmL3BYMbtButFhZXUXrkoODPcqy4OzZMzQaDYrCOEsrBe12i2ajifNt29q6z6OdR3zhi1/kt37jd3ju2eeZTCbW7GkE8vb2I5JGQiNJyPKUnZ1HxHHEcDTiyStX2NraIkkS+v0+SikLRguGwyFg5M4771zl9OlTLC0tMx5PSNPUp3fI84yH2w9ZWVkmjhMaDVM8N50a/4zY5i/b29tjb2+XM2fOoLX5++y5s9y5fZteb4k4jjg4ODAlQmbAzDyTPM/UGELJJhUkUJgWrHsnX5zOD4pI20hV+69jiTRhXTmFcNFrWtTYWbCblQUTFQu7WO44v7CFn3m6wkk/4cPoa58f1ZxyW3tmt7gXOWXXzxNWKV7sQ2WVIFszLE1TDg/uMZlMee211+j3+6Rp6s3nPhrOmZsiYzUIHpbKyCA4c+oUXVs/SwN7/QlX371LiUBEILR0pUcBidYm5YDQpWdwzHusWLnKwlexn5GoM5vmfro+No4MEvWDwl5rUfZsv6/VP7CAEzu21TlGgbDEilwMuML2mOKhAeUkjH3ey3HXAQdctGF6Wo0Wk9HYOE1pjaPxTbRWjoxDR9pw4c1qNNofNvdQKCXI86J6XRKSxAp/j51cPgpdu48QJv29666LKHBOa9aIZSaYqBaJtDPUYc7aK7Xh8MYEYcPVXSZhz/wFsGNO8DD3d/2zWW3KgZ4KBFbvwoBRKRx4waYON+Pq/JKELw3iHDiNGU4pRSNpcebcOZ8sUFaS7R9cE8JUGhfC1E3TuKR/2m5oEVoIlBQgymBREmgvZtMWkUmY9ws/9/OsrC7zpS99iWeee4FSRBwcHpJNU3RWko4zijwnnZpsxcV4hNaaQmnKwoxjFAn/DhZRr/MCXJg1Es4ZZUSHjIyJpExTfvGXfolzZ88yODzwflrvvfceN2/e4OLFSzRbTdqiydWrV8kyE8ZdZBnLS8u8f+1dOt0uWZ4xHA1IYk2r1aIoYXd312SPtjmsirKgVKV3kJeYXB9KFZiSJDYnS2SrsxclAsNISFsfJ4oEsUzMfJSxiZAsSwb9Q5S112ml2dkxi7ZUJR/c+MAkC1Xa8Lg64o033jQJET1TYQWe1pSqJC8Nu5LEidWaE0pVkqVTOt0Obet7FMcxrVabZqvFUneJ2PoDTdIhMpJ86pOf5vbtu1x77wPLvghOnTpFFEXcu3ePJEloNhu0u222H22ztLTE6uoKaV7Q7i5x8uRJXlxf5+H2NlmWsdTr0W63yIucQX/Ayuo6J09usra6QZ4VxHFigjwaCXESsbO7zUc+8hGyLCPLjGIYSUkUx7RbbUbTCd/7/vf5z3/+5/zqr/86Sim2H23z7LPPcuvmDZK4wenTp/nyl77EO++8RSMIGV8MCipFs2IyNBJlc425PEJOZZu/hoM60qa71i4SJygNUHfqtnLI5Q9z36WSkY6J0hapHKdkedZh1iq2gGU4Su76fi46X4R+o9VdYZEPyfy9nAI9fz9zTqPRoNfrsba2BqvSKxy+Rl+Rc//+fcP0WLmt0RBVCq+T+8r6/cVxxIVz52kkNiRdw3CUsbNzgJBmvIWK7F5tqArtkujafcXUR6vGUmgdPGB9HOedzsUsUgFmX1G15y/CJmrBQa01uDxTzvnPXV9XASqucsBx7UMlHnQsw6yJrDYVhBnATrfL3t4eqrS2QqslKK2ZpilREiPmIrWO7qRL3uaIitJqayKqLM1VlhvrzGvU7GAx26SBQV0jR5ZoUdGDDqMasGMirJRWRDoKgI6j/hQEZiqn1YSOX3MLWZiyEjVUHH5/gYByrM7sdd2PjKQvUSHAUsUWZHkNTfiFZvy+rbCSkrIoiJMG5y9c4oknn6XTW7Ys2T9MoOOalJIzZ8/Y2mGKslTkeUqrVYVjmjV89LNoLYLINMmbb7/NytISUkounL/ApaeeodtbNv4dZUkjbjhij7zIyfKcaZZx9b2rLK+sMhoOePvNN7h966ZlDh+jSdoz7BZhU/fXW1EY356b169DWdBqNWm12jSaLZaWluh0Ojz37LMkiXHibzQbtNtt3n/3GtffvcYv/dIv0el2SPOMd965yre++21+7ud/ll5vidFoymg0MWzCdMLhYZ/RaEipjG8OuioN02q12Nvdpdlo0pARURxzeHhox9FElCFNJFyEEeAe7AvIrblPWIljWXhj+pMGpDYaCdNpavx0pKDRjO14V4EAoT9bHDk+wuQIy0oDfIUtxZGnuXEC9WOtiWVi5aTG2QzeeP0N4ztlR9+xL1rXAy40JkrU5O0xDqdZlrGyskKSJBweHlIUhU/AijaMVVEaJa2RNCvFw7K5Wig0JSdPnKA/GJDnBpyrsmRzc5NWq8VBv09/OGA8mfCVr3zFpA0oS370yqsmYjSSrKyssLu3hxSR1Xrx/9bbMaYdL2jtebMfB5q8iZJ15neM6WPmC8K9fK+RO+XRnFgzaARyMHTNPa4d9RxHAaUf67g/ZCdqoPsd77scsDoL5I4DenGc0Ol0SZImqyurnDlzlqWlJYRli/uDAX/71b8l27PMceS6VOJ8Et3+LEWEFhHNZszFixeDu2pu3NxlMjkkllUAhUCglUQoYaMO7X6CQNosVn6dHcGYSObBpRCVRdIfs/v33JgJasHq7lqRnJGa2iiKGiqFXrrzwUSeuf4+3hLxoWppOb8UF8GnvL/K7CsVNBpNa2ow7IklgtAI8qKsAEn4RB+yaQ3TNGOaprQaDUPzlQotnT9KVcahXi7B2cXNvR140VQvLKRBnW+LxC3mwFnLAh5H/7nvKVXgGSJ/37r2IKhrXR6xGkN5ZY5z0sqCPGMimUHT2gAoZxNXgfnRlEsII7kkPiGTHbOyLFlaWub85StcuPwUne6yzzb9k9CEFFy8cIEkSVBl4bMt185x7/pDYDcB7Dx6xPaDBxSq4E/+05/Q7C6xsbaJEBFFWdLutImjiNW1NXrdHkVZsra2RrvdptVuc/rMaa6+8xaEzKhteubfWRjm9GnHOiFhmk558aMv8uSTVxiNJsYh+OYtZBTRbDbZ3t4mnU65+u67CCHJ85xur0scx8RIRF7ylS/9DbJhas8JGXH58hPs7R0ynRacOnUKrTXr66vEMkLKiOFwwGQyMtmYk8TkFdKaU6dOMxyOeObppzkYHJLnBbdu3DSRkq0WZVFQlDnbDx+ilWZ1eYXRaMTO7i637t7hmWeeAWAwHvLt736LS5cvc+LkSd54/XVOnTnNzs42USzZ2NigyEv6B31KBVFkkpU6oAlurer6aAqTWsCtB+fvFobhCptkDaSNoKvK4CilCTPhus3EhMcrrwglsSu+aML1pYThsI+rPSalQKuSslQerJouCrI0w5mnfWZkqdFCce3w0ACIKDbmxiyjf3iIUooojomSCKE1t2/esjImjOzU3Ltz17JcRgEwt6zARvX3UfP/wys4To8yPzZnkXSfzJwrFhzXugbu1QyLoBxT8JitwfPuM/dYZNY4ikVfBF5mTTAVsnI+PDNyZhFztIjd0UapiaKYstQMBmPQu+w82uXdd9/DuX4URUFRFownU6vI1vcVp61LUWWOFyKm02ly4cK5Gpv99jsfMB1PzXjHxuRYamNGN8MsjP4rRDAHDGuiAektIeE+Zu0GM75MSsyAWHPygoxLeBYvPA9YmNXZKSeOpDDkgfZmdcc2avRj58zxTsvasQJmYZlE+uGEqgserTGh20FRR5f3ROmCPM8Mra/l0fD8Ma20kRuRjJBSISWm8OfMw9aAja78VbSfDNoDHocgAevBLlGqBGmc7VRtBViw4xKPuWtpQ+lDtQBqdcVcziI7li5yR9QSDdZZnzCsNuyCBpMkyp9rfpTSPoy/NhauqrAWFEVOI2lw+clnefq5j9JZWuHDION/aE0guHD+NM1GwnQ6MZzbYwTdos8cG6jyklObG3zmpz/DD1/5IbuDgamllU9NSRWt2B0fMJ2MKW5oU8dJgZpmSBF5VkCpzG46H/Y5wp9A4GB8zhqNJuvrm5w50/S5rlqtFoNBn+FwyMbmCZaXl3n55Ze5c/cuv/gLv2A22lIx6Y8o85xSKIbTCQeHh2xsnuDb3/42mxsbvPfuu2R5aZyv+32KPCfLU4rM+PFoDc1GCyEkpSo5ceIEB/v7bG8/ZPvRNtNpyoUL51lZWaXVbNFoNsjykqVel1Nnz5DECdEHH3Di9Bmef/450jTj9t3bvPnmW/zMz/wsp06f5ty5c5w6cZLvff/7PPnUU/z0z/wMk/GEb33zW3z5r79MFSDhNLpK3rhs2RA65mp7bk3lwYldw9Yoy95qb86twINTMOpfN/u59P1wfcKzuqW/fllap2LhzrV9E9Uu70xG2ISnSRxXzIcqjVMzGB87G91iyorEvlNh5JUp/+A2v1ko7fpaP1Yz9Ryhyc+2WRClPVipWHTHJrvxqTTwxdeQUtT2FGPdDQWecCSLZykMEHA54YRnYMz+vwh4zQIeO4cWRXqFe7H/ngkqMDeSHDVa1X3KedBjGXYppDFBReZdTqdTH45u5qCk1eqwPFNsWUpJI4lJ4oSbN2+QTiYG9IiSEs3yyhJnTp30tytK+ODWNqXSiATiSCBtKDtKWudnYcp8BLBEa40yUxOpZPAmqnniEtjOaW2z4wEepLhR9JdZgDZnnEaCD6r169mdyFzXKP/Km/iOa8cCHklkJ5oAZW2yGmvi0p55qF6soXqbzYThcIgQkTEZSHObokwpVUYkqsrSsxu5YzWqA+FgWWq7MLWsoggbLm43LxcGab+jUDOXs38J4V+WQ4VGaxE+2zH2b4Sg9AMZ/rgFXpmQIhmZKuqyXo7B3UxoV3dL+IU7+xPShAvfnVtQtfNcOHwdcHkWQRgNNombPPncczxx5RmWltd8H35S2+pKj0azRVkeBivLzRVsNGD9O7OKo7ALO5GC0ydO8Buf/zVu3vmAU0+c58VPforJNKPV6VAIzXA8ZjgcsLu/D1pz59332X2wbRw2rQB2obhuo/MbMniw7fph7m/PsaycnysImo0Gr73xGm+//Rbtdptms0maZrRaprxDo5EQxw1OnNjk4OCAg/0DXv7hD2k0GkTELHWXWV9bp9mQrG5u8tzzzzNNU5aWl/nn//yf0+v1GE9SWxXdVKBHCIqy5J2rV/n2N77F2tIqn/zEJ1Aa8jJnd2+HLMt47pln0FqbqJKdHbLc5BA52N9nf3+X8cTk6kmnOXle8Bf/+Qu+CGmhC776la+itEKVikajwe7uHg/ub7H14CFFWbCzu+fTvShVBu+rYi7dmnVNa6xzZzjC1XsQdo6EzLX9ptFotbvOgoUnRE1AuU1zdvmEoKy6p1NO6pFiHmjY+lzGP8p9yYAxt5LrAK56Ftf/Wh+oz69ZsCNDBcf9I+wnM/K4fp/qmtIrwsG90KZcQTA25qeeAHWRJh6yEvPmMes/anREixMFUlWd9zJPYvzEZpsOznGL3qOoRc2rwNUwCTP/al/SfkbY+Sr88dm5IRBEwuRxa3d7PP/88ywtLZEkCcvLyzRbRrlIs4LJdEqr06HV6aKUYQsn4wn9gwPyLCPPS+7cvk2RT405VgjOnj3L2sqq78M4Ldh+tG9MaJFGyBKpjasJwtZDFHjg4RP/uneqbSZ3NwLayarF+aI1C45rTRmuOfeutCaqrTOrqCADsGuZJK2N25HbT7WxezkopnSJxkahPaYq7bGAJxAlmBrp7hmcFmWZhdrihkazQXGQE0Uu9LZA68hnVG22NaVPSy88CPDam3YDY2GLrsIj48i4SHbbbeJImQgtx5gQgntzj1IvzqRgKmhrq2nZ6jsB4KkvUOMjEC5tIUxenjiyQkJUUVbCjZHVINGYfC1U0QILGZ3gX6dtmr+rfs/6B4EV8srlNQjAjhBYwxybJ07xsU//HN3lZd//n+QmBLSbDRqNJs6h1axEWwhWaKQ2viKRMOYaE0ppIqGwrICQZvykLrh+7R3+n/+P/4GH+/uUccK7N24i4gQRxzRaTWQkSJoJly9foZk02Wm1zPwW2oZeOqERsn/2N+FhD6anwle4l1Jy+vRpDg4OmEymCGkcZ7G+c2We88lPfoLPfOazjMZj4iim2WqhtEkvv/XgHufOnWN//4Dt7W3eeecdLpy/wM7OLtevX6PQJdN8Span5FlBkiT8xz/9U/r9vll3pSJKYtbX1mh22hwOhvQnE/qDPkqVbO08ZHVlzZeHOXHyJM8//zwAnV6PPMtJrcNtp9Xi5Vde5mtf/5pNRSFpNlv+vUlhotH2dvdAmHWYZzlRHLG/v8/3v/tdz9SZbLGzoOIYHxQc0HBr1W1w5jMjDOXM+Yt+X3BlPdOPUBlblODQr88QcNQ3y2oJV+bmkFFwwMFoxIHJusZmLe5HBVZcH8xRIaqNwnxSjZHw96yuPAs+DNgx4MYkWbBrTWAdnl1f7KUcQBHhzIc6jRKoklqYS848nSezguGpahSGJwpfBNXJSQHe59OtRdcxtYCMPVoyLmAkrIx1X6zOWNw3IuHNxPv7+xweHjIcDpFRjBaSvCiZZpnJrVUqs39ZOVGWJXmW+ZmtpUTI2JSWiQVnz5zya01ruP/ggBu3H6BFiYwKpDB14AwxEoGQ6Eh5JUI7csM9h1fyDRPknkhrk2bIzRn/zA6/ax3wNAKh5IyZcH48BSVVBFw1kKXWaMuouT45vcOhDzO0xmduUah72I43aYn6jDSifEab8NpUNTitVhPnMe3oTIUxRYUOgG5YNNYZyaPl6oHCp5MCmnHMcq9Hu9lEYlJlSzfSAp/wSWsqIKSxQENCFNkF6GFsDYCEttKaM9eMluIYJWEBl1/cHpXi6XI38x1yduhZ2+uEDmju2rWBD8ba9cnT8PYlu8VcF4pugpokgp1Ol1DTmVu/P2EYKJIyKGdiF60NdwwXsHmvhgB3TpFuCFaWl5FFSXt9lWeeucKdB/cQScIoVwxHKSJSTPMBk+nUMA1C8+6P3qLMCppJk1ajCT5ZnZuuRgwIWS1gp9VUzKadj0LQbDZ55plneOWVV4xgMHZanJSQkeS1117j7t27RHHMxuZJlnpLtNstlFIcHh7Qabc4c/YMp06fZjKZ8Guf/zWTGwZodzq0O136gwFlnpNlGePJhOsffMDrr73Ox37qp9jYWCfPc5NklIROd51nrjyDzqfs7u/waPsRw+EIhWJ3b4evffVvEULSW+qZMFoZmUAFKZim02qOuWRplYJHhARh6+opTSNOjCzQRnCFG1awB9t2/CQN53393IrNCQHA4msce4uZVmcrKkIlBDmLQJbftuqfuSgmvynP9m1R5xaALn+PRcBn0TOKSi4ecR3XZyG0D76ojlUOsRXIMS/P+SaG/1WqLksdyHX1lQQVSBLhbulfnWBR5mMD6NymW42unH0uty8smk+ifrxin5zSb965e36xCPDo8O7VdVwAUJ7n3Lx50+6N5p0rLSm0UfCdzAqbc8yVfpIZU44UgrjR5JmnnjQsre3jjVsP6B8eIqMSKUqk9Wvz7LOwzKe0buhGezPPrzGMszTzt2KisdPN+MyFlgyltfdRD0GPVGIhIxQ2SxPUiQbLKGktjQuHqPY/tKmO4IIfXGCDkMdDmsckHpwFNyHim//cdThJEuIkNhWZtRsURVmY0PQiL+sOTwKTIr4GKACtUaogkoJeu8WZE5ucXFuj22pQ5iUiNpqGnumLR/bSLAphtfoK8NQ1ERdaCVXpBW+OAvPSF8iTapHrQJa43mir7ZuNzgkDYx4kWBx2oc8BnhB4hYkeCSaFCfOcdTYOBZH73mhkkuo1ZFSXdqH8/wlrrVaLlZWVQOPFsDgiBJOVoCEQrE6glkVBmZWcWt/gM5/+aXj5h1xoNHn+xY8RN7tM0oz7W1s8eLjF6toqk/GI0WjE7Vu3UUVJahPhhWydKkqKIkOVJq9PXhQ2BNc6+ktLv6KItMky/OUvfxmtNXGjgcYBWrskhGbvYJ/9/X2efuYZLpw/x9aDLR5tbzGejFFac+vmTdY3Nmm12vQPD/mTP/4TWm1T+qPRaNgCvookiolk7GvSjSdjth5usbq6wtraGmVpWLDeyjpXLj9BEgum0wmqLJlOUwD6wwF/8Af/gaIoODg4sAlAQZeV+6CgEnjO5u6UC890hcvGCbzg/c6bY8JzFxy159fBggjuP/vdo65/fKvg0oLv6rmTFnxYv7fLBFanUtyxmUMLgc385mrOP2phu/QIP97Cr7HOAhx/b9ZSEI4uKnnn8prN9lZa3yUny3zpCS08G+BZNbHgSbRAz9AGlTzGAw6h3XsS848rFvIwc9f0zyWDfgXzyQEeFbCAc6Yve40o8MmpP7vpe6yjID/NjBlTytozawwgEZGk3Wpx8fz52h3v3D+g0CWRzGzi3AgtSiJZrU2jNJvVqoI+uSerAHDA9DmNXlTaiHl3dlysm0foYiEfs9aEBzyuRIz2R70PrXBSRfvX6SCnsoleH4esHhOldYTdONhwK9XNgBalNFEU0el0GPQHKOf0ZIVRZh0ihUErmFwAVOyHQ526BF3QaSScP3ua9dUlWkliHKeLjKwsUFoSR8452AmHakBchmKHRIWLhnLIPKzRUXubwbMikOJoJ9TQMc2hzPlwPXM/rQVlaSMUKuOo12wdYAxNhhX7Uwc97rqCSoOCAKg5FG+fIk2nZNO0Zl6YudxPXGs2G2xubFTAYHbToC6wqibd8qY/GBIpuPruNd7/f/2/TabdRoM33nqftc1TtDo9+sMhSbPBiY2TtFfbnNw8BUrwwvMvcPrUScDk1UjTlOnUJN2UwoSUHw4OefmHr7C0vIQUMBlPGU+nxiY/HDEZDRgNB6SpKbWQFyUiLkFKXBFPgSCOY4QWjEcTBv0B586do9N5mqQRs/1wm1azzW//1m+ZkPLplOWlJQ76fRCCw4MDxsMh3/nOd3ny8hWSuEmZa0oKVlZXyYuc23fu8Ojll+l2uwyGQ5ARf/fNgkhEpJMxk/EQEUVoTC6s0WjsTb9lYZxs0caM7Bhc5S01VRSFK82AjL0i5DbNI/iWBZ+ELEhwdA5czGrpP/4mX7uiqvdj7kpiwTOI2YPujzAn00zOF3EUY7PYPH9cq0BjtXFVffgv0XYccDBrTdooLWHQA65uUmSBgFM0Zh4DJapIH2d2ctevXHPs2l2I50TNKha6CDg21cniH/sJF7Bc5vpx8Peib1YbfBiOH/YvrNPov2VP9fukBey+nNMRfVO6GpvlpS6b6xv+80mmePPqLZQukCIHoaxiLkAKXwFB25sLhC9nU7lUVO86XFtVfrZqHQoh7PrwD1L1eS6j/4I2AwI9WMI8owrAk++HNhanUmMKOWuOqMBetQ8PeMTMUvG+JC6PTcWISClpNlr09cA4m0kX5aApytyEWkbucfzXrflJIXRJu5GwsbHO5voqrVYDVEFZpKb4IBqkI15chJNjVdxA1UEA2pmADGXu6EIPTOzgzU5GB3xmrHu+02G0lzlkagBVWkDgDOkAovD5nK3wd8hH+bPc/Vz4qg5MY5WGIKvvukVjJ6kIpK/EJH483N2lt7Li5VX9QfmJa0mSsLa+7JkcrU2mX29GCVjEMBLO090au/Ch2erYAppD8kJxcNDn7tYOrWab6TRjkk54+fs/IE6MKWY6nfDD7/+AlZUVmk2TikEIM86NhkkE1+30iOKI5ZU1PvvZz6LKglarxanTp9nZ2UEVJY0oYm93h+sfXEdEkq//3dfJ89xGFbosq0ZTjmTEeDjixgcf0O/3QWim06lJ1iclf/AHf2Czs5qonaLUxM0mrWaTZ568hNYFSmpOnznNUnuJSTqm0/0IpS5JksiXO9jf32dldZVGs8n9+w9464036Pf3+dyv/BOSRoPRaMxgMOTatfc4efKkBTqmOGuaZuR5zsHBIffvbTEejzhz9jRbW1ucOHGC27dvsrKywuFgAFFEpR8Km6ptMaNjl1LQjtIWF21Ws8dD5eZDTnwnn3AyQ81+PAuxKoHpU+ovEiJ4+WU28VlF6cO047Xn45+x6vWRZ4VJ+HyYv8D4mOE3PCd3zOYp/HMtwDtGK8dCPRnKYSfLw9uLulnLXmPWLyQcr1kW5chHO2qMZ6+NAQrezLrgKzVn8KAKu6h+sYzXonsZVlQFLNWivunZiSZBlSVrm+ssr66Yc4Dd/oS3r15HUyBliZQBqydMXcpqTxFWXIoacyWFuX64v1UdFv65vDIhq1TFTgl1gGWhdhKQDNo6blV+Vw7sCoQyjODs8tEIpDZZoZUWZuyOf92PSTzoKTpzIRV00G0mIWDAZmIVCM8kKK2RWvuCcUWRo8qCOKpqHhm0oVAqJ2lEnDl9grXlHo1GZFBnmVL5RJi3HcmYOIqJfTZk+5J81ldpAYU2jql2CEWgWVU+Oqbv3om6ogyspl29ACO/Ak0MlyPHOA77WjG6/oICrtO+LG0BSlWCAlHdSVik7bJv4o/b4bfvBI2lWuursE5Hmj5tbz/k3JUrx73yn6gmhGBtbRUpQSnDoCkdBFg6k6LfjuauYP1uzPyUUUTSbPDUlSt87p98ngKT6HJ3Z4/X33yDzlKPosiYTCaMxiOyNENKSZqmDIdDw14WBVme8d5712wxS5Pa4Ac/+CFamxDwixcvcv/+A6IoZmVpCa1LxuMxly9f4vKlKzzcfmgADSCUlf5SoErF2soqn/+1XycvMlscU9Jqtdg/OEApzcOthwhh+j0cjhkMh9y8do1yfMDJtVUe3L/Pw61H7Dx8hNIlSZSgtSaKzVwrSpP3pSxL2q02hSrp9w+JJLz6o5fZ2DxBu9NlMp5yYvMEG+vrdDodlpaXGI5HBqQpTRQlvPvue/zwBz/kpRc/zpnTj3jm2Wf43ve+wxNPXORLX/4bv/Yq5WSxNv4YGeZPOPoqgjpD+tgrzrealjAPSgRBwIQOwE3YlWAzcbu6cVyfuc0RPTwaAGkWZztZcA1zoeBeZrTCrOoiONmx4Kbgpfnb77fCOJQaWRvKHC+pArFXE05zRIBTWubBhO3lQtZl9tkWnRO+7w8JIMVcJ/y1Qp8V10LTVHiNkHXyfZl5sX4M7HYRu7qJdr7553bjZR17tQCpBUpGFKVgeaVHr9f15+4cTtjdP0QIRSRdcI5Aa+nz5QoLUL2ZyPbFzwVh1k1oypx95mr+G0U+BKbuO1Lo+ZflH9532QKeKued2VYlUhqD2yx41VQmvtKNy98L8Njtt7K7264J5eVH9cB2ylsg1Gp3jOc5RhtydvSyzMnzKW0b4eLATjMSrKyvsbm5QbvdQuuMWCpTJd0PTPVqnBYRiQppKurFzPzklCZ5k7C1kcJIJw94Su1BeS1aSmvjRFpzprJA0EHYmev55ha2pwcr5D5rb/Z9ded7eOYxs09P630VXErtBYIiXOeWxeTwYA8T7SHnv/AT2KQQbK6vezyjHBPm3kvwgDp4D9rTBQa4ayBXBf3RkLIsuf7BdSZ/+UWWVlbRWiGFZHNzg4+8+FHiRoIWmrt37rK8tMQT5y8SxSYxYf/wgCI3NblGtmZSmqbcvHGTldVV7t69y3A44NGjR2RZRrMp2d3boyxyJtMJW1tbOGfFOIm9NifAgAgZsfXgAb/3b/8trW6b1bUVisIkCOy027RabYoyJ4kTlpdXuXLlSXqdHl8bj/jMxz7FyVMnyWVMoTU3btxic2ODtdV1pFaURcpgNGKSpaRZzuFhn52dHYajCVmWcf7cWa6+d43ThwN2dnfZ29tDCGNqK8uCRiMhnRqznJQRzVbbmL1EzN/93d8BcPPmTcoy4/DwoGIjwa4L9VhhdVQTgooRxWzKwaeApeRNmnGztgTzFEHQZoWrEFSYIsDPNUamdsujNt/62QJxXDeO+O7cp1Uf53sz10ys2gybLUSt/6I6bH9mX46Y+dw50wamELsGvQ+d/d04t4bpTEyrgFTQF70Y7Ljz57+/APaIYGy02/jrG/aCR1twvNpXKianmgOzx/2zOGAhFjNOIWiu1kRwP9z3qj1YYczHkYxQUrC6ukyraUpKlGiu3X5ImmdIqYkENteOJS2EsJ7dNp2GqPauWZDm+h+2WcBXY7Vmx19AFWI384Gon+auVTGhjk2b9wMDKr8dNLIESl/g5Mh2fFi6f/jQhucMMzYqZubhsVpzJGMajQZZNkEroz27i6iiIMI5FkNvqc35UydpNRNLbhXIyOQAcK4uWpv9XtkNyFTHlmCTN5kFVwcTjiEx9suQudEmpb12zIkZfMeaOdTr+quVhX4zqF0IVxFb1JyOfQvnKAQ0bzCpVFkHKp5V036j06Wi9Kn6Ax8gIBJmNocTBioA6o5FEeR5Sp6mNFvtn3iwAxBFguXuEkVp8jAom5QymQE7c4sYCHctGUmSJKYsFHlRUuSad999m9LmtyiVQsYJ3/7edywbEjEZT4xJbXWNEydOmqKYAnq9Lmurq6ytrVkn4JIoilhaWuLSpScoy5Inn3wSV+MpzzPa7TZvvPEGf/EXf0E6ndqFXAlmjbZZTM07H4yGxM0Gn/n0z7C7t4tGk6VTxuMRZZGTpyb8/Np714lkzO7uLl/8q7+hKDNEkqCAslA0mm1a7Q4nN9fJJmOTAK/VpNlsMplMmUwyWu0OFy8+werqCi+120RC0mw12N19RJI00Nr472TpxMhRadZY6v4WMB2P0VrTP9xD69KE3QvpWd/wPc22Kn/H/Pv3tHeNcZndCIONTSw4NnPhozfCej8Xm96onfNh2oc57cNc68Obvwx4CTfXo0xPplVCrFLSRM1EXN3bpVkwe8bsvhC6PHjZG56iHTCd2XA/DCKsPZ+Y+ZsKEevqnc/vXYu/77uH/+o8sLGfhear8HpmztQB8qJ71u4tnRNceNzIg+qRTE225555hlajhQLGpeZb33uNrJiQRAVJbJILOkuE14bt2GqULQER3DtQlo8bnxrTVR2sn39EBv+F4yxNbcSQAfTKjA72ZPA+hNqBJ/l4f63HRGmFvTM2ylrp+ABY+Kbspq1LnrhwGlRhCi6mU0P5K02ZT9FlytrqKquryyz1ujTiCHRpHlCayCkpQrwmgnBDE72ldGSFLMbcZf3jKrYpmGhW+/fkXWiX1qFeYPPZONZEVMhbBgtbWAQeCsh6SF3dES8cL/e5/WVuqGedlsuypCxLLMI0+YPi2Ju7Ihf2GZjHqrlkfokiSVnmjAZ9mjbB3E96E8DqyhKRjCnKwuSlyXPaHcfiVMLaVWw2X3RCz8wGGQtanTZ5XrJ+YpNf/dV/Qp6XdLpdJpMpt+/eMwssini084iDg0P6/T79fp/xZMz716+R54Uv9BdHEmmjMaqcThWte/bsWU6dOEmz1TJJAiPJaDTmiYsXmUym3Lt/z9YI0xSqYKnbYTIYI2NFFMVopRkNBtz44APanQ4iEnR7Xc6eO0O71SSJE8pSU6QlB4d9pHiezc1NvviXX+SFF1/g5MmTpNOU8Tglz02yxL29XeIkZjDok2U5SaPJeJLy/rV3WVle4f7d2wg733Z2d2m3OzifpaIoUBpvEkvTsS1gKMhVThw3AE2jYUs42HdSLyngVKmZd2xlM1D7tA5VAqnIvCD1vnOzn/04jNKMpvs4H5GFmvyi3ypaY8E96/c76l6LAT3UqKi5S1fgY/bYgs7VwI0MZKtjruvyxAEoe46LkPXPtDgQxEW7OmDhlvBsVe3j2uwoeHPMAsCz+BvuUY4az+q6R3y9dt1ZUHnclDNjJv3v1byuLAcao1AIjJlKKY2MYG3N+GYqYH+a8/71OyAhjjRRpBFCIbRhe4wZX/hpJ7VzAA/2r9CycNxjzvoqiXlAdBSoXMyuOWtH7SaGEayghydBBMJgDkcCPWZNP7aWVkVzmTo1Qlf1m2pI2fmsaE0SadZWl1lb6ZIkEiENA6JKRVlq4ihiqdej2+3i8vW42ioO0AjnBO2qufqBlKYyujVHmPIMwpSBCDMku6yRwaIPDWJSuBdemeu0nUhOmgr7nNoOqpIGGDk79uw4zZq0vMXL3V+XvkxH7WXOvCQn3FyEli5t+nvwLJYDf0opk/57RqvytL0bD2EYkPF4yLo4ddxr/wlqJhtxo5GgUkVZqCor75xJIhTsFRQSwkQZHR4e4vy3rl//gE6nx1JW0Gw1eeLCBTq9LjKKaTQ/RmE3+eFw6DOlvvHGG/zlX/6lyQtkby3dqnTzwmYLvXP7Nndv37E15/CgFgxwT5IEFwPbabf43/5v/lekoyGT8RRVFkwmE8ajCdPJEIFiv39IXuSUqmDYHzCZjGk0OqBM1uSlbocTp05xMBjw9jvvcOvWLdqtJs1Wl067R5IknD1/gVa7zf7+Lku9Hmvr61x//32KPOM3f/O3iOOIOI7Y3d1jZ3eP8xefII4jpumUIjP1f0y174x7d+9xeHCAlPDo0UNOnz7Dq6+9yvnzZ7l165ZdnwQgxc7dBW+4ZiGudBK7bn8MxFLboI4GPUIsNjGJOcbiaIbgSOagju9qfZg9fRFUOXLzYAFYwcqdBedLBLN5aWqgoHZc+m9VNr1gM7fj5a4XbvBRZICOtmk/nLz1DzjTZynq46YM2jEq6I+jn4nZtR8otDOAZza0ffYZ6m22XMncNxd3JwSHCyKWZs1JHkz7ORua/6x7htZAiSqh0YhZ31wDzBsa70042O6TaGhITSyMs7R2CSJtmpUq6Mi5VlT9CWwGBB8tfDZ0/e9ZcH70eNaPGb9Xu8cG4+K0ntn578fNByA9Ps3AY2ppBaqVNAirFMqYWdCgTahbJEBqky+n3Wxw5tQJ2s2YKDKVgIVWiEQQt5rEiYloSeIYE3ZbMS1Kl7iUONUggQvlM4hfGLukrdgsImkTAMKitNKG1annuHGuwd6xeBatq4o2M/dUIEqEq6gs7BSRFTDxL8deM2QT6grQbGipCw+sv1AhAiBl0bxbqobVMgkPQ7PA7MSqIW0gksIyB/84mhCwvr5Gu9Vimma4N1Y5w4Yaqg2RpZy/kNZEsfGZ6R/2ee2114jipiniV5gQ8dICqSROkHFEp92h2TYMzdraGg+3tsCaUIVW1Xywb01G0muscqYuDFSVpwE7NxUITaFyXnvt2yx3GsaclMS0WwknNldI4jbIBiJ6gkKBtM7GX/iLL/Dpz3yK9fVNylKTxDGD4ZCLly+wvXWPRhKjipL7Dx4wGGRsbK5TaEVeFuw8ekQ6GZM0YtKpyS/0e7/372i3WzTbLaaTKZM048yNm6yuLLOy1OPg4ACQKC3odZeQMiGOmqytrdBudTl//hx7ewdsnljnzu27CGESkVZK03HAxSo7dal6jHlA1JQxP541jjw4d6GGf8R1Z/p5FOtypHlJz0O0UNZ92DZ7ukAcIeiP3oDn/52XneEGHCpSnulxtQLd38Fx447gYlGrfvpNNVA0w+eo5xis3tWHhbYa56cSjoBgdgP3dzhi7BdtrmFY+odpc6YfIeZeyVHgwP7hN/uKoXQyw9SGBMHy8hIXTp+1HYVbNx9yuD9AliWx/Y7C1IfTYh54z85Kp6e5zxaxmYvZGfsNT8MI//fi80MN5hhAJALwV2smYMgF5rrt/Lh2fC0tgWdKhDKVqaR2YMcAjLLIidFsbqywvrxEu9OmEZkcIoYYMcyEK9kghEKrnLIwlYVja2ooLdrU2pkfquyOkagckaWQRHEEkdUgpPHBMH7FFoBY2twULTW+OpV5y74QRfAiXXrqavDN8YoZciLX20/BAD8VJEqyDJdjpCq6WHiTykKxdMTLNNew894CnlCoRDaJIjWgtADsCMMudZfWOHHm/LzE/AluqysrrCytcHA4wlWEd1qLEWgBDVrb6OwiI0ZITbvTRgpJkSv+xb/8X9Lp9MiyjLwsGU/Gpn5NlvHGG29yOBhQqJLx/p6JjipNCHnSaPhZEuZZEU6COCDmhLhWFda2c88IQCPMZCTotGOefe4iq11BkY2YjMfsHzxkd2+bw4MJ29t9DvoTTp06R6lBiIhB/xE//MHX2Thx2paggNXVVdqNhFiknNxYoZk0ONzdZeX0aT71M5+i0WkyzTPu3b6DECVnTp9EioS8UKRZRlmWTKZjhsMRe3uHRDLm2tWrfOITn+DWzVtcufIk1997n1u37xHHkkTGnkF7/bXXybKM+/e20GWMjDVSFiZlRShE/YhVTfvNeCb5JtWGacJ5zdEjSI36Z9p9yznPhm1+UzLvarEoPYrhOeJkZkVyRXQsEvaL/j5KpH/4/nmFzf0b9O048FUBnRDsSBM4UvsJZV8Q6VvbzI8xU9XAynGb2PyMcQrhwgvO/ioER0W3LQI8yCPk94Kjs+DAb9wL7qHCCKQZwKdnD2LXg5agFUVRcv78WZZ7PXMtrXn3gwdMplOakSaWRrFQQqFF4DflzOxUoKsCX6Z8E/401zflGRdp3UnqD6SNW4k9LDBRZmJGAXH3rCsgrj9VisLFvlvVrFDGf6bK86Nmiv4uaMc7LStb0A6z0Zt0baYeh1bmp9duceniOdaWuwhdIFC2Bo6JBSh1ZWYyPieWBbHxR8aM4NIgVQ/lJoDLTOkBT2Q2+irplNGeja+kMQ1oHLNTYpCwy9NiTUR2VJxW7aOdqKPdcBIqYSGPqICPAzymjpVjg8IRr+7jhUGwPGYXxVHaYhRJcw87KT14dD9CeqHivlNni4xgkASb7z8S0LOxscHa6hq37t634MZuhaLKXuoWsy/q6gA7ERqJ0orRaIwQkE1zvvqVr3D+/EU63S7NVpNmu83mxgatVpMojjl1+ixxI2Fvb4/f+73fQ0nl/am0LuuafMC+BQm9K0ViRrCaXVkjhEmqKShIR/skq0usrrSBJucurNLtrZDngts3t/jaV7/JL/zsCya/zeGAw/3rPPPCGVZWV0jznDfefIs067G63KOYDPng2nXGozG7j4YUqs3u/vuUUjFIJ+TplGYi6DYbLC+doNFZRiNscsGIVquNLHNUpjh1Yo0infLUlcucOLHB9oO7PGzYNPY6MzmOlEJlplqdVoJmEqGFSdIvpEaEJQb82rCrSVdbWmh6MHqYW5tmvCTC+gctWEMBiJHBOlFefQnbUWCl+t5R7djIHyrFaf7ai88/ShEKP/f+YYs2lMUXNXuMZ7GO3yHcunG/m59KnklRd2A2it18PzzB4Ur0zM37eabhcc/jSg/Uji247uOe78OBTXGMzBTVTHLPq0Ww9jFJ4wIIE96j2vzrz+lcItzv4MCVQKsCXWoiIbhy6TK9VgeAvNTcvrdlyIRYEcWmliCW3XHM6ByYqzXtj4efKenyywlCpxlPHCzg0QSy9q4ry0c4AMx9q/bwNbkQjoes7i+tHefvk2m5KEsi5+xphbjSBvA0Isnps+fY3FijGUugsD+mo65woxCRz8CsfVi1KeoZaUmJjbgKBIrztDHJ+M2gS6yfit3U8GxNlVSgiuFXXmYKr7lg8g8QaioyEIYVXA39Z2oTXVQTVmPLQdgkg/PIvQIijtmRgUj35rcZHs6xQ5pAgNpcQGiXtyOyYMelKTc/daCja8ekiEytpOmUdrd3/Kz4CWrtdkKn1zVAg6qy9qKtzDU7I2xZVYEgIo4EShcg4c7d29y4ectG8oGQgkbSIIpNyZQoiombDeIoIk0zk2UYN9ciLPo288Wg4Ore1ashXMAhMDMbvCYvCigm3Lp5i/ff3aE/2GE0HLCyusra+gbDUcrh4ZBhf8S3v/Vlet0OoIjkAY2kz/paj2mas9yd8Mzzl3jmyacYHeyz1GqyurTKq29eJS0kL730Elk+4d3r7/H6O1f5lV/4RdpJzCRV7O7tkmcZ4zTjwf1HvPnqB/ziz/wC49GUqx9cpSwPebi9TavRZDQcQLFL1IBmAqrIUapAC4nSUGqJUgkIY4o2zK1RSrz93UfvGLpel5okMQkKnTIjIiMzhK5AbYkxOxvhKE3UnF9r7l/tgafBlbK2bsM2uwkcNZuOhg01iRDMj8VtESuxkJyZ2TiEFRbHbfFz912wuS7a9mdNWo7RCZW3kHF27I6XeUEfK5nk3sHjTVquLYaxVfLY+rnz1z2umS7qmWNHfX+BHxd4tiRUZhEGfKEDbOA+mL3/ESBtkSnJ3dQF4URRRNJoUmhFrCN2D4a8+ebbCFESxS4HnbG4mBIWhlUW1iKinHsKmtAjZN4f1ezfbqdTWlUKpDtP1WeRV/AXjmc4j48H7LqiQWeuXQHBxxA7vj3WKOmijUxSvYJYKDbWVjh37gxJEpsNRpUIoZDW70CXhg9ytTk8s6IVUNoBFyASo234WhnmQZS9p0Fs1YuKRWxtv/hNwSV3ExWg9kDD/G3u68CLFLLK4O4mlDIEmZlJytoF64mORFSBCteUUtZzfH4h1DQHrR2/4uGS1piszIvC2Z0WFvbT5+QXaAumqu5pj9c0LucQFqAZdkuhKbKcYf/AAJ4jlM2ftBbHMSdObHrtWVsTprT+VUeCHmHEgHPgbCYxUdxACskv/fKvsnnyDIPBgCydIpDsHewznkwQwPbOLju7u0RRRLvVJMtzikJRFLktZmrCbqWQlXHZMjd+7VogVDc9VhqOsUsLFBFPPPEMT17+eYpizF/+1Rf57Gc/y6Url+kPRozHKUIppBZ87etfYWWlw099/EXyIuXae28xnoxpJoo7t9/h6pvfZ3wwoikSVldX6acTktYSg/4DlnsJ9+/cYLTT59q777C+tsFofMhST9Jbijl1bp2NjTZbd97j7JkWRdGi0Xma0+fPMx2foBHFdNpd/vqvvsCVK+f5nd/6NVRhKrRPsiHD4ZThuODBg31eeeUNHu0e8unPfIq19TbD0Q5FNkKVMZOxQmjF3XvbxHGH82fPs7e7y/b2Nsu9Lnt7u5zcPMPOowMD+iNJVmQIoUhcDi4doXI7vtLIg7ww8iaOm0gdo0Xks2zPQZNAwfNNE9DlOvhv9a8ITB4V8/Jh2oLNTh7h+OzRjZeCdhYvQkfMHXc9XySvFgMeF0DiNmfzr3QSzYMdZ34PZbnZ7Wc3PRFe7PFDcWTTFmCFyNDEwMw+S6XMzt3sGFD5WJ8V191gPQdf8MqNkBVgXGjunHmGRf0Jv1eq0ivEeZYxGk147+4Dzp88yY07O2zd30JQEFtGWWmbQgbHD1mHcAGEJl1R6d8KDcHepK1ZzO3ROti7/LOhffbNWWb9qDEM907tO3HkUMx8t7qGds94lDnZtsfk4QkfLqPXaXDxwllWljoINErlBk9r31XDMFsAoUSVDK4oCrQu0SikNBuVUqVJtW0XpgMkoQYSsjF+0EQlUJQ2ae0rmjWyvgFmtrmN0DyHubALrXe+PUrZl6fNszjnrmrwtPu/74OU0u5hrm92kUkXAWaFphOUwvghOLbMjdeRvgF2ECJhTC4VDqc22cCCRy28piCENgkblTIZhIWmTt5xAAEAAElEQVTzZxKMR6N/LFgHMEK22UxwCRVLVRogKuvCKnQKd2yCFMbUosqC8WCMjCWFhldffZX1zQdcvHiBExsbdHpLXLx8iSiSJodU0vTMqYlMKtjd3WVra4v19TVUqXn1tVdtIsFgIYfOsCL8dX7zKQrNqZMnKLMxf/VX32Z1qYmUBf3RmK9/4zVefeMWMo5pNRq0kgbtZovJVPDUs5e5cOk8nU4CuiBNx7S7LTY2V+kfHPDnf/wFllur/NrnP0c/22MwmpKNxrRkyRPnT3Lm/iEHw5Lrt+5y++bbXDi/Ql4q9g8z+v0xS60W3/3e18jSglFWcuP2u0Q6Z6XdRSDIxlvcuL7Nl/7mgFYzJmkAUtNodFheOcHqiualj17gu9/7AU9d6vLC80+h1RMIVaJlTKORQAnf/t4P2T+Y8iu/8rNsbT3g6tX3OHnyFPfu3uPTn/o0f/In/5Gf/7lfYGVtlS/+1Re48uQTPPf8c2STKXlakGU5o/GYpaUOUSI57E/Y2Rnx1lu3mUxKlLBmcbdjWT8Dv3eJUH7Yt1TbeJTjknHRUJ7J8PLFrjSvuARKmb3PHNUfzI9wDlczZbYfogLSM9+XCGb9rwXC+1ksagvJoBoiVEBUk83z13BMT2X+wgMqh5pmL+yeZd5vpXaH4LH9pWbBW/i0lc654GHNf34c/6xFrXKID7tn370fhyPeM7OjUF1roW+QvZ+y7DNCsLS0wv2tPa7d2OH733uboiyII2vVQAK5Uei1AKQHOYaEtkl1XZkkbaKCa0U8HaCw87HUpSUlKoYP7Bbk6lUGz1oDNQtApOlHCHSOHvdZn79ZpeRx7fiw9GKKiGMiGXH27GnOnd70CeyURZkiACsaR1U60KrA+tJoyrnJqZRBja6+SKTNBuScHUwkkhnASEpkJIMkRgHdZgWOr3SOtumznfZjJkfpMjNaGKtEFU3jfIuENmBJoe29DElasUdBhmchvUN1DaW6CWJVwmLGh0TMvaV6hJYOtIU6QwZugdYWjp4xZwnjOyGtdqulIIpihJAcHuy7GVYXHj+hLZKCzY0Nosj5aQm/gEINAKi9I4Gk1+kSR5LB4JDLV66wf3DAg+1H3Lp1iw9u3eVHr71Oq2FqUWlhfKmU0jRbbXpLPaIoptGIOX/+AmfPnmc0HtHpdGi3uvWoK+FMrfMOkouGXgMyjjhx6gyjgz6b6xt87hd+HiFStEwZj4c8erTDd773XU6e2OTUeofD/T5r60/w7rVHXL+1z+BglyjWFNkELTWiEaFKzaOtXU6sCl5+7wHxUoxCMpnCcnuJRLXpnj/LZmeJ4WDAMJ3wyZ/7NHHSoCwi/uqLf8U//93fYaW7RJGW/PEf/ymT4ZAXnnmKn/70x5lOR2xtX2E8HTBJR0ymI5AmHHZ3f4vb9x+SpZpIJly+coY33vg+77z1fcosBQHTPEUIIycODicIJA8fvUccJUynGXt7t5FRzNe/9deM0x0Oh/eRyYSyPETKEWW+TyShu9pmMi04cWKDU6dOQKyYpjmCNq2G4FvfeRMpltBYBk6A0gVaCQQxUsf+5Tglwyhz0m7IOUIY00BhuWHh9nABqrQySCiEjkBaRlcaXzyzIbi8NJVxNZwB1fp2Jlprh8PWH/OgR1gNMyxGaq+BtL7B1W6sHVszM/ts8Hd9bgpw8V/Vj5UzUvg+uH64dVf9SJBVYEV1FdOPxXLH9XWm3kZQj8xDp0Axrp46vG4ABBfcy236C5uoneUut+A8zSJBGiqVrkRTKPvDz2sYaEZEONjtz7HBNkahLomlRCjN1v2HTNKIH/3oDSMLSxMBLe1FlRsLnxbFvTPL56jSm8ncoCgHgLQdSVcYWIPWpS1BUQEcbQdUuH1OGgJDayoLS7B/e6BDCGQWb0b1mR2MnR+kxSbg2fYYwDNkY+M0F5+4SKfdQRcZZV6ALnFJArUW3nlWWudjF/cWLpVIRB71OafSECwJqJiRABz4S0hRqzAePGe1AP0HlS25iiizSBV8iQalVR1QWBMVGLOR9j48xifJOQpLKYllhBBRfbHZeyilKMtyjvJT1jxXLVjDxrjvhlFdIcKuAI+Ys1trrU1ZDHvc21WlMYuY69t6JFozsOUPEpsYzrxD7Ng43UoE4/zhJtL/fE1w7uxZGkmTNMvBAtvEZ6mqNg+XDBCNL1SrteDU6VP89m//Dj94+Qesbm7y4kuf5MHWLp3eEteuXeP6++8D1eY3mkzZ29/37/mtt95GRpEp8xAZB8GiLEw+HcLNJRSOVf/nBKY2DN371z9ApSVx3OS1N99kMjrk1Ol1xpMRk0nKubNP8fRTV9hYPYEgQQhFu9cmV9Dfe8j66hJozW5/j7/95tcRMuLcpfO8/c41tr/1DhdeeJ79yQStNP2De0RSMuwPOXPiHKPBiN2Hkmt/+AooRTvqMhku8Qd/8jpL7YR2XLK3NWEyGPBecYPxziHnN9fpLLfY7GwgVk+ipEYmklNnTxI32wzHKdNJgS4VFy6eZ3V1ie0H97l/7xYrG8sQJUzTgiiR5Lkx1eVZTrfb49H2LoOhqdjearV44aNPUxSK3cMdnnn+SVZWe7z1zuuooiTPFMtLK9y+fZvRZMDq5rpd9xKhGyytlIioIJ1qtFRoCibpiJW1HulkSpbnqFLTiNtoHaNKhVKSsmggRYyQJcjSbjouiztoVRitV5v6WKV2mwgIESGFKeuBlggZ22MlQpemAqAK/BBlAy0lQhQIoRE6sWBLI4WJkClKJ4tzkIXHFMatMUGIFiIQ8S5HXOi4XX04v5svNHvZY0rrWjFVE0hRyTUpjJzUc+aMAKwcB3jEzCFP1TAvc2unHiOs5j4SHoQsePqZ3zU1sejuz+yzzd/fA0VNFWwT3NOVmhJUH5ptKGS76uYlE6CTE4uSq2+/TbPdZZo32N/fNXMq1gvec+XiUHsGHZynzbtVVG4ddX+e4HcpLXNkr27JAGmZEK2Fd0EJ++5ksN9vHrvBhKxOFZvpw4e8+TlkZBe3YwHPL//cZ4iTxFT/LlOENr46jkJVGIQnZOTzwnj2wGZLjiJBpOqshLbewzXWwzyDmVS1AXAPVZmkakhaVWDFl3cNH18ru7HNvmU84CnLEhdW7uzSZo1ZVgnjDe+jurwGE1xOO3+i6mfO8VFrn7yx+v4su6MJc8VUJj2TxGuRHVhr4zflZYVnN7TPu1MURhgPhyPSaWoBjx9e8rRgOpmSFbktbeBmsfYCbWnJVP92lcH/ITQh4Py5syRxgzTNTbbloqBFJSOlB3+yYl40TKcpoBgOD/jX//pfMxyPaXWX0PpNIOKFzZPo0s5VL7jB6RgmsVrlPBfHsV+MLqmgE3Y2BfmCJwi0eSd4BGhpKGSZSD7xiRc5d2qdnd09dvYOmEw0RR7Raa9x48YW74xvkRWmn1EUcTiY0IpAqMLkF4o0/QNNVk64Mx1Q0KO3fpnu+iVWuj2kgt2tbdIsZW1T8dJLL6FKwXSa09/f4++++k1eeOln6cZtBvuPGOxvkagp53oKWezR2B9SDga88sP3aS61SHpt0lgwKFImxRQVa06fP8ede/dpNjtEUUyv22F9bY3hoM9k2mdpZYlOd5koaUEEvW6DtZWOMX1riJvrqJFm2O+ztn6OpeVTjMcZl68ss7v7iKeevki306bVbDKZpOzv9vn+D75PmqV8/rd/E6QgnUxtiRYYT3L29/ucPnsaKRW37t7k4uWLjEcD+v0BWZqSRA267TZ5npFmmpgO+7sDDg+GfPu732NldZWNE5vcuXefTrvBqZObaKXZ295md/cRV568xHg0oNXqoIVkkpU0WsukueKDG7cp85Q4Llhba9JpxyYSLk4MYJEJ3e4aOzuPGBwe0Gv3iOMmWkQkUZu9vR26vQZJDElDIKQmy6cUhSaJWpRKsH8wIZZLftPUfkNYoMQcv0/UGWR3zK6H6qe67mJAM6+Uzq8Gd1bVIW2VxDq4wGIQUSG5Y1vACzjEIbCFW+ulgY72/Dt6kMTMp3PmPq3rm/8s3kT4btUHxl1ZeqXUDG1Jnk1YXu2yvrrE5375c2Rlh1dffY9B1qeR4KNCQ2D1mNdsZVlFBszuYyH4mQObbj+3vlwmYa8lRNxbnWXbF5i4ju9gpRSGrQpY+nsAnkQCqrD1x0G7WH6lEBFIEaG1NKBHSKOJSPOvFqbyq9cIlLI1MrSlyqoFYpIPWrCklQ0vdcyNZT0sCxGyQpE0A6oKKIVAxCauC0RVNwT8vZR/WZbtmXmhUlpy2c6UyLJWzhlv3vnKLCJ3naIoaqh4toXotupXdZ5jhRz958LP/VjMhZJapkpV/a+Anzm/WsgCSckkS8ktE1IBJEjaMUm7501x02nKdDolTVOyNGfn0Q79fp/JZEIUS/K8II4bLC8vs3linU6nTW9pmTiKTFSNzaVkwNGHnMz/he38uTO0Wi3DACApC2sG0FUOEDeGJjLPPLMSplxEJCJypRBxzHA04fadu0zGKdeuXTfRCJh6WoBlM4XXhLxWISphIYT0TF4l4sSMIDuumbUgJChK3nzzVcb9c6xtnODsuYtMJxndToeVlVWWlnoIBGk6Jc81f/u3X+fcuVM8/eQTTEaH5hoCPhJLlNa88eZVth7t0dBNHn1wj4PDQyIVMx1OaLSapPmEr7x3Da0glTFZKZmmintbW5TjHLKMmIJeN+Hc5jlWl0/QLTKiBG617xJ3mpy6eBbVbLGfjrn94A65VHz8Y59hNPkWv/Ebv0VZaAb9MX/z13/DSy+9xKnTp5CRIM2mjEYDCl1y7+4D3nt7m/v37/PkM0/R6XS5du09Tp7c4Nq1PabTnO3tXSNrVMm586cZjw5YXu4xHo/Jc8XG5iYrKyv8m3/35zRaTSIhaTQSTpzY5P79++gS3n3/FkrlpMWU92/co9frmHVYFjTjBp/61CfY39thMjlkbWWZzVPrtLvL9HprbGyc4pd++ef5/svf5fnnnuK5Z5+m1Wjy9huv8+Uv/SW/8zu/SruV0G51SAtNoWOmhWRn75C/+qsv0W23+PhLT3PqzDJXnroAKLIsZzLJaXXaxHGLq++8z3e/9U3+xT/7LRpxB62b/OmffpHJ6AH//X//L7lw8TS95Zi4UTKdTkhTU2Pw0aMx//p/+lMO9wukjKvoJy9uZlhFp3Taz2pzOAA1bh1V/jkub1r4uVkVBktof2zRPJ/zR1p8FnpRasUafnIwabGOL5hVFIXfHy0EDJ7++Pa4z8Nz5sxtC57RYRzfP3vAiy4b4u6YeAPUFOcvnOD/+n/83/PJl16i2+7wpW+8w2AwQVEipFqU1PlD9VvgoqztPmldQRYp2rNyXStFqW0eJusf5E1iYTtCFobuHPXzZ79fga/FTNTi9phMy6VnYsw9DFgRkZnsWkh8KmhrG44C01PkkuZZesuUg6poKO/s6xgVLLq0bIVzABQApcl460O9pUBqiRLG30ZLQSl0ULtIeHAR+m5oC7ZMFiBpF2tk++kClbELWRJF9errZhxCjaIadAN4yjkUa36Xte+7yTL7guvOtUFo/KLXEyBtc05QPsELpFDTMBEX2XgMrsq4L3EjqjGX0O116PY6/voXnzhvqH5VkqUZu7t73L1znw8+uM6rr/6I4WBAlpdMxlOSZkyz2aLXXeLS5cucPLlJp9OhkTSIE0GjkdBqtWi1W7TbrWCMg0X+oZug1YyJ48hEDAooihzjxBz7c+yg4IGHNlqVQhAnCXFikl9evHiJ3/3df8H+/gHTaYoQkuFoxN7BPtPplNdff50oisnLkjxPmU4nPgs2ovQRg1VK/kCIzemBM0DQfeyKO9pyIq1Wj6yQfHDzHmlxl3Sa4SLQBAJVlKRpSqkE/f6IjfVNCpXS6TaIIlhd36Db6bGyvMatWw9otZb47M/+LI12i53dPdaW1mk2OxDH9A92WGpJinTKq2+9wytX3+PXPv+rjIdj+rsHvPnqNZ44f4ZplvLdqx+wFkkunz7FeDAlTVroAq5fvcnBYESr12U4HZPpnAd/9lVarSbX3rlLlpW0Wl1U0WFnO6XbiWm1W5RlwplT55FxTLt5hrfffoNWU/PcMz9NrnKyvMNv//ZvkaYpea74V//qX5GnYyIheHB/SKkKdnZ2DNWuYPvRPbS4h4iML4mRLQVRHKHKAqFNSK+2kaMaZYGtUbwEgm998x2yLKUsNLGOyIuSKEqAiO1H7/HOtfdJizHvvPMuzWZMI24yGvYZ9g/4//7rfw+WPdYiAtGkFDHImMODAUIV3Lz+Lp2lmCcuPUG71WMyTdl6uEWSRCgFWZojtOavv/QtxsMJa6ubvHP1KuPJhD/4oz9mbWONZjMxyVgxzvpKl6SpWdsydnM9nGYzG79d404USWFXRphWQ5gPpS9PYBMPyiqpqp/PDvyIeTkYznsRKHPaWgYWJpvzWdLrbZGcdRvh3CUI/GcCBaxiXB6/WR4hhTFKbwW48CBOe+U86PRief5hUBRuky/QlDz77CU+8/GP0W62KZXm5VffZZoqkqYgTHz64Zp7But7hTJuYaZid8X6MLuv1X/XQlqfNW1AU2l9giITFWkWmoOXcuF1Fjz1YquGBzyWK/kQY3i8D48qzcTUzhmYmpOuo+gkqloUwoEfM3COoAn9WEQwIcKHdZNdoqsoKVtNXFuGRghlKzKbDQpXUt1t/soiYL+5SY/6pQClbZIoUdWTcQjf19eyRxflefAT2CNM69QVUnPhJieCf92Vg4XqhMYcqAooP8f6LPp8rn+ium4IdhwzFknB/v4eJ8+dq9iPx6wLIQQiErSiJgCdToeV1RWuPHkZ+Dm01vQP+2xvP+LB/QeMRiMe7Wxz/+59vv2t20ynUxulZwBpkjRpNJq0Wm02NzdZW9tkZXnFVNGOIqIoYnmlw8ryMmvrK7RaTeKkQRxHnm0Ln7PZbNJut6xWqQFTbNUkrbRAVwqwbCRItHDzEIo8R5SSWMTsPNrhy1/+EsvLKyRJk9W1dXrLS5y7eJ4sL1hZW+fypUvEccIrP/ohX/va1yzYsQJbOiBiJoDTbIyD32INb1ZgC2HD5TWUSpMVipW1U5y+0CUvCjY2NkiSBqooTaX4UqPKkhs3b/Jga5uPfOQjDIeHXH33HT648T5xbELlI5FQ5CVSxlx9+x2KUtHsdGi02kRJg6TVZrXV5ESvS5lNeXSwT0eVrDUEa2s9Xrpykbvvv8WzT1/gwulTfDMdc2Zjg4996lOsntxESYkqcwYDU1i12WrTbLU4HB4wGAxIxyN0qeiutsgLxUc+8kl2dnfZerhHXhRkWUqWpmRFTlmW5NOclaXTfOPrP0Qmknanw+///n9GRjFalYzHikg0UbqkzAo0EY2kRVmYHV4JQZQkFEVJmZdWMWiitYnQ0ypC5abiu1KlAUaiCj8XAtJUAB1TQ7BQxEKCLhGRSZORFYo4XmU0UgwHJVJOUSoCucHBQKLLyGi9yuQJ0kIgY1CqQSwalGXJwX7O/v4dQPq8KLF1E0AYf8md7TeN/CpvImWCiJbZPyzY6+8iZAxaoFQBogBZGgdsnRCJFiGbY+ba0ekWw3Xl1779iQgD4PVCWSMtwx9M55k5bq8bsP8hwyJDqsg2pRezCYvM+4J5P0cA4QpMYpPIumuFZLlVsI/2A6kUxxpRNruuQxPQgquEzyLsk4dlUoQI0iW4fQ1nZlKUZYHWOU9cPEcSGz/B4STn/dsPEXGDSCiEzg1QES7gJhz/eaXL9UnZfVPK2ERhu3erj2Cn/PFqIF3+T+dGWZYW/EW4DL4mka5zXpoZ8fCVLjJ9zUYph/16HOg5PvGgUr4uSlXILFgMuFIHYYfqA6MDr3DHmiDqHXbOVSFrVQEiY/vEahjGCdmmM7cUX6kK8kKTSBPNFQkb3YUpNV86NIhTtO3imhnYOkiw/RVVNscQrQsEStQpOGmjurQKRkC4ZxR4jlGHYIcj61vNMzj1/h7VwkkS/m4i5ST9wwPDgMj/8rpas8h+dXWV1dVVnn7mKcCY5ybjsQkPHg3Z39vhjTffYH9/j+kkZTrJGA773Lo54PbtO8ahMy8pCmXZwLHxn7JRAM1Wl45NmCiQLC8tc+LkCVbWlhkcHqCKkjgy/h4aYbSTSFgQYkCo0CAjQZTYHEbWs18CUgsEktFgwGuv/cgueJhkGSKOkXFkK5tHfOs7Cb1uj8lkbOu4GT8vU1RW1OSJE+Ru/syNoVUSasdxeU4kjUbEBzducPXd99k8eYKNjQ1b46tAAEkUoTWcPHmSPM85dXKNJNacP3ea/b1H3Lz+PlIbUKiUJhKS2CorU6HRKmU6Sil1CVpwKAT3MMpOYX/+8N//G8D6LAHf+PpXjFKSF2ztPOLN69eIm02SRgO0JopN2nsEnDpzmjiOybOCpU6HMiu4eGmTpy5d4uHWQ7ory5w6c5rl5WWSRoMiN+bIOEmIhaTVaXHn7m06vTZKaXq9JUbTCZGQjEdDxuMhrVZCmk0oipw8y9jfP+C9a9fIy5KLly4xnUxpNpsUZcF0mjIej8izHKHNFp6nU9bWlrm79YDltVUm05QoiphOJlYxkkRopuMxaZYRxxFpPjXlR9KMdFoSRwmNJDJ+QlriIlaVLtFlSSQTG7EUoQuNELEJRFImr4qy4yakoCgVZW6iAmVkss1LmVjfiBitIjNDfCJWAG2AD6VhZyK7BrSysltaZtnMMSd+K+V03rQkhFs/blOuSGGpXfSqovKb9Nqt48nnsIBTsiqFQFbkJ9RPDtdJ2CfbZuVitZ4cpRU8j3ROtG4Xqfrgvut10xnW3ZwWAhr3j324QHmvf8diKOeVMcNIGWATmqpm3kPAzGlX3aAs0GWO0CWXn7hAJM3639o55OrNeyhpgKlJyllSBkqXDsbeDZEQNhor2PuUFKBMkIdzBzHrwO6hlk6pv6nKVQCtcFHw2mZaNkSHCZ4BrE+lSSfjWSPplEI8KeFexSLfoQomWXS1AMjPtuMBD4rI7Qi4B7fe90F5BvdCZlG/65zzpXDASIh6EUvnROpqYaHD+V8BrWpj0H4haY3dJI0/hgSUTy5oI6ZUaf1c7ASzM3t2sRh/HeG1bOFehA95c8yC9H1wz1sfH2rXda16QYsYmFmhY46FJq0QiYfn14GN8ZeSoQZlJ6cLb5xOxqiyRMb/FQuJutdkf4njmKXlZQDWN9a5cPEiL/7Ux/3CHY1HPHzwkEc7jxgORqRpzoOtBzx8sM3B3gF5NibPCorSGB9HwwP2dkBoSVEqsrxAaYii2GwqeYZUCo3LsGtC8eNGEykEZVmQqgJf9FnZfCKYtRLJiEgIlro9fu4Xf5FSw2g05vqtW+RKETUSQHD71k2yLOPw8NDI0chFzkiLZ/XCbLHGGd6tlVADnj25Mqli55qMIprNmPPnzvG5X/kcaMPoHBzsUaQZ08kUpRSRjOkPDrl14zqj4Zi79+5y4fx5sixjOp2Sq4Jup2uAaJqZjUwrpIYiL3wxwlSVGIpfUSpTlNXUbSsMk1Da/E6xJEeRpgUqnXpbukAjpEZKePBoiyIvEUTmPRQF0Q+/T9JooFVJWZQkzQax1VSNg3xMFCU0kgatlslobfzGStbW14hi4yyeJAnTyYQXX3wBQcL5c+d59913kVGLj3zkY/SWeqxtbBDHDaI4olQl7Xab/f19oihmfXkNNGzdvw9C8bEi5/kXP8ru3j6RjGi124YpjCISKRhPJvQHAwbDPq/+6GV+8Rd/ifFkilYCVRa0Gw3GoxF3791HJg1anTZCQBJL8iw3iStlDFqzf7jHa6+9xsUnzvHEpYvkWcbrb7zO6uqKYRyVZmV5mUfbDxgM+hCZtALaT+BKeXK/CA+VHRCxzMFchfCZKRdsarPshJQinIzWHFQFmlTQhuA3e46VcxV7VJnZXXj8rIK8CPCAWHj8OJa7xhl4xs5symoBODGgywh0qepjNLfReuVZz14h+F61Ybu9MrxeTcG2e5XW+LIPs/uAtqYlVZYURU6nFXHu9GkcSvvg7h4H/TFYc6TLEOUTDPr5EqYfLHEgYXbfdvet7U9h/xdILrQOCpMqk4BYK0SUeFamun7FPJn7aGPhkTazlbXeCFwuv/r4OUyhCV6WrsvWRe1DlX81964oSxOZVX8hDoXPTsL6ZLEgyWoNtRYwKDX2R9b9ULS2znC6PnEQUGqF0JJIa5N0L6C+XD/cZF+4rIJr+Qng0aO9qTDIWXuAxtzkxGr5QszcSStcHoTKP8iVi5ABoKM2Dh7o1O7he1SrH1NpBBUiNn5N7vKa6XTCdDKl12wuHoj/yi1cNCAhgpWVBisrazzDs36+TqcTRqMR49GIdDLmYO+AB1sPef/6+/T3D8izlCzLGYwmKJ0RRzFapZQKIlESCXz1eDPGEe1WhziOyPPM0qvOX6O+gMs8N8xQKXhw7x7PvPARLly4yMrGBkpKltdWybKMrYdbFFlmHObNU0GwDR05oGJW7hwNejyb6DYPDBN49eo7PNzeotlsstzt8cxTT/L8c8/SbDTJ84Ki1KTpBLSgLBX37t3nmWeeJssyRqMhd+7c5dzZ09y//4DXX3+dzZMnuHHjBh/72Me4d+8Ba2urAIzHY65fv07SiBDC6IhFnjOZTIyPUmRqa6WFCZnP8wI0vs6dec/GHF5as7gqS6RMjHlNGjOijCBOIkBTlgXOnFBkGaUv7mvkhpQmOnD70cNaOolIRrz15huAJklisjwFMGyTBbpKm0jSpJHQbDaZTqcIBEkUE0cx4/GIVqtJp9vluz98hdF4xOaJE6ytrbG1tUVRFCRRRJIkSBmTFTmT0YRv/N13KJVmZWUNlWX02i3a7TZKCy5eeILe8jL9/iFaFSRxTG9pmfWNTYbDEffv3+X9929y6fIznD9/gclkTNLokSQxQmuyyZgzp0/x6quvcHg4QkaR19XN/GUGuYjqMw0QZmIPEqMS6JDBUYEIkq3q+vk4hdDOSbdRUx1zx+v3Ca4d3NvIWYIFUWmIbl3ObltHQJu5I9rTIsFnQhCusWrdV4PhShQ5VovavuWuXY2P0ctngYy5unN1cHum9sx+cL67TzBGApf0tqJ2BO5v4zzsFPiTJ0+yubaBQFAozdX37lPkBuhobQKLLLlS3Va41eR+d+4eGnyUk91vZp8NgncoZuZeOAb140oBoiAScRBcI22OnrrSr7WGsuqsKWVBwFHN7H0+dYvpnEsefFw7FvDEcRwkUHOb8vzDmQ2mfqNF9tXqy3L+fF1VSZVxXKP/3EM65kIiECpAyTIACBEIZcg8J0B9f6AGlPxo2RdYOTtTfea67evx4K+jtKJUAeq3VF947qwN0lWCjyITBSEF3m/FTaoQqAj39wwd6u9JUEdahOLLdlxrW9QMP+GzPKN/eEBvbYX/+Vs13u12h3a7A5sngGpMSx/9psjTlP39A+4/eMDe7g6HBwf0+0OU1Nzd2jJUrmWRKkZMkiSJDRt32qoZFqk1SRTzwpNPc+299xiOxrz52mtcfe8aSMnu4SFKCJqtNhpNmqY045iock4zz6CdYF+84KoNAUwU4yxIPmZ8rLYoo5h+v09ZluwIwe/+d7/JP/2dX7DBEJrCKGx2nQgm45ThYMJwOGE4GnL58mmU0lx84gwf+ehzlKVi58UXWV5e4dlnnuXSE5fZ3dtlOBzy7DPPsr6+QhSb+mRZlrGzs2v8h+IG/cGA1159nZMnTnPy5Bl293Z4443XGQ6HvPDCczzcfkC/fwAYx9unn36WPC148OABo2EfU1/Y2PUjIUCbOljVureGByHsfq3Q5AHFjl0TJTIy24XSBVFsNvqizP27FxjNeDouSMcTo8ULQUFq0lpoRZanHAwObaoNwcOHD2syLBEmyq1QZjyczImihKIokEIQ240qV5pvfPu7yMiAOa0KIiGJ4pgoSUhTU32+LEu++c3voPW3ybKUJI6NI69S6KIgSSRal8ioaXX1yizv1/fsfNNm7My+L4MzHcqZ9T9xc9McEK7UgC3KaoKLpYUlLsqxkpO+TpS9RBWxVSk5C1eEn/NV4EplIjK9VQEw8+db4aurP+ZWiwoKW+pAhodZbebdBGb2Kym8P2jI6GgqZ9lwjzJ/2y76z62yWWk5VbkgaWOfLehxc10Ej1V7T1rjfM1QJU9ducLK0ioA42nB93/4NmVZIoUtmi2ssmzXS1Vse/Y1mL65YB8f9COqNACGhaqblELbwML3Gz6DAiW0dbU1UcUSbfNMBV/x4z/PclUgMLib34idZWg+x9BsOz4sPUk82HELR2lMQcCApnP0UhTJ2kSqh3GH9Jj2Dsoa87uf/g76R/Ne+c4MJnG+NdRqzkTC+PbgUH6A2l0mXqFN4VK7ns1LdX3W2ggzq7mYCUm18oLndTW83IR1rE0FegievRLSQkpT9kHYMPgQ5drvugXmv8cMuqaOpCV4H6tQqwr/rWhAo00P+v0Fi/4fVnPjIhsNf6zV7rC0usbFy5eB6rnOPHGJ7/zwR4wnOVCiyhxdlOTT1L5LKHwCuAjlrNtas7K0xEsvvsi1997j3NmzfO7X/wlKROz1D9k52Gd3f5/Dwz5ZWXD//n0PVo1WaPu6oO9zz+OEMIKKNRTzXw7WivGWNf5WWZ5aoK2J4gaHhxN2dqckrZgoEsSxpNmIaMUxGuh2G5w8afKwKIeZNR6WaaAoTZ6qIoeyKJhMJkynKXlR+PVclpo0LTjsD9AKJuOCUmnOnjnP7Vv3SdOMTrsHWrKxsclHPvIRNjfXOeybyLbxeMLv/M7vkKclb731Fl/52y+DLpASVGmKEUshKyHpNpJg1MxxPMAMJZs7z68bO6SOIRI4Yev2Te0ZUyFtpXWb8dhUglYW0Gpc9I0AYhERa2nKUvi1IxBJhLZFa4WMSGLnw2NqqgkZEWHmS5mbcjxGyTHiVwLtZtODOS1BNhpWFsYW7Bco76cwK9Xd23R7gJMYldwWc+dj89u48TBzzTjdO1kSfDGYz9XcFF6uLbhJdUBU9baEcGyTwLEMIjxfO66Dmv9P0FOozpi9IS5kwI+QnzwzPfNyNHy8AGE57OW2EitnHOtey9sTAJwayELYdCzVZUUwx73FhAo01Z4l2AfAlT9SNBoRly9dpN1qA7DfH3P//iNTyxKFjkpKSru/OaV53roh7Ht38sDtX075DteYsawE770MbEy279KmMnA3cbyaxq5tLQ2xIZwLiylGLma48TnZKSyIxwFQdz33vqt38Lh2LODx9LQQCG1z2+jSOE9pVZssWjtHJAuMglTSvt6G07i1rts1vYZgRsFUAzcfqUpK+cE0ESyVVuIGKYrN97SyQkGafru6m+bewtTtARyNZxa7tM8GwlJ9XlMJbOAhuncV0cEidg9QA2HshK4wdkoH1KB6wWZTqXLHVOLLXCt8/bM5B8ISBooKJHDE70b4C8bDwT94wPNhmuv/yVMnaXe7TLOBXWBGs86ylLws0QiKsrRVu91CMQBwb3ePP/3zP2MwHrGyscajRzv0xyPOnDvH5ZWLnDpzGhkZQf1n//nPyacpzjk5BOumQ+YfzyzW315wWrV45lztgo1GoGl32vyTX/81JtMpo+GYSTplOkp54413ePe9G2gh6PV6NBoN2u0Gq8vLtDodVpa6NJsxzVaTKI5oNROSOKLdTlhb69r1HZEkkkZLIEVMu9sCbEoJGWxmdj1IwMm6PC/5H//HP+MP//BPWF1bQQvBaDzhb/7mb1EqY2mpx3DYZzKZ8gd/8AdMJylJFFPmOa1Ww7BQ0wlFURIJl8gRr+3iAUs4NBoCEFK1alcJfaiEG3ctZua65UsC4OmXrU+h7/wbApVDaDRV8lVsoV4RBWyscOvKOBCDLU2sQVvncNwGq51MMfcx+6j2dQgrTTnCZ7fHwWY3NuGuHoId22UnJz2QDDcGEyRQ7VOV+csBQLNRu/cRyBN/TznzE8qeylxvjhkwqOciFu31hHD72iI/4erxFr/94EpWeTTQc0FRl2CUBH78a346M5toeGzWryf8fNGNQv/NsLl98nFyWGtti1xruu0Gl5447/fD965vMR4MiSmBEqRCCW2sQ3a+VebQYHwtQFPB/JPCzFghI4gFQikoS2IpEKVx5TDl1ErPBPl9HTGX+0dY7CCJzFzS0gSISCoAb9egc3+HGTOXvU5N6ZfCRiKahzHJZSuW7ah2LOCpis9ZJsKuv9LZCU2XzJlu47doTAiM2QltsxU75K5RKJTN8YOwFczdZBMm248LhReWjXGmLOxC8xPYLqJISiIZ4cCFH5gQtGtd77dwWqP52+sOZWmEgnALO6pRb555qLFf9Ynv7hpuGL6/9m6u9shC4BEI3EXIP+yHZ9RmAE54TngskoLRcECZF8hmg38MbWN9g97SEgf9Kbo0yQeVzgw7p03VcY2ZK1JKlBK4CJXl5RWevHSZBw8fcvvOHe49esQ0L0gaCQWaNM+MOUJK6wNk3k0sI7OQ3YYiQsHGETlFzLmB0XH+FK/MaHSpGI9HvP7qqzTaLdrtDstLK5w+eRZKQZZlLC2vsLq+xng05vvf/wEvvfQiSdLgzf0DBJJudwktNJPRmLwoaTZb7B/ss7Lco9ls0rB5iJqNBknSxBRkbbCxvszm5gqNJKbd7tBsJrSahvloNGPKAuKkSRQnbGyus7q6zP7eHpGULHW7/MIv/Bwf3LjOt7/9bT7+8Y9z/f3rPHn5ChLNP/tn/5TpdMqNGzfIsinf/ta3zLx2voEV3qk2XOxm5kHlgvFbuG+EwMaeJhzkcf4YoraMZzcyEGhReqBcu7b/LQQeJY4hFk7rD7CICICuEFVyUD+XHADzlIADE1UW9qOa1s4sYSMHNdi8+BVI8c7MzndQeDDp5Zuo5HY1W8PPXf+p3pf72z2oFFWUrahO0jPZkR20dQCzBkZqTyeCMVn8/P72NXUjfDfVHRfNl0WgZtGP+yw8JzwG1OW6HQeH14TWFopVwDbscRR81zBFxjTb63W58sQFSzRo3r12myzLELZmpbbh60rPzFSrpJvalc4oZUuEyBKFNol3tYYIYhrWYbgaJxPyrxGqYkndOy20NqVTZlocghZHFETazGQfXGOulci4YomCS2lfs0zgPCalFnN74/Gw8XHV0m0nXXI+UEREqMj4CIQbu6tTVE32+sbsazxp0NZEpLxJwFDHoc+K9+i2n7u+gIt4CSaGNM6S3gxlblp7lllmJByoGsp2G41Fd8ZHyC76mWtWfx8NK6uvVA7O2gEsRxPq2e9Y5EpdqIe+Pf481+8FwGbuHGxopoLRaMh0Mib5RwB4hBCsbaxz4sRJ7tzdruaPVUeiJKLUJkpHIIgjiSBGF7mpXxRFPNrfJ0oadJZW+MVf/mVkkiCk5GDQZ29vj8lkQppOyPOcg/0Dsjwjm6YgHWAHhKr1y5lr5/pbE8PHL1Fpk23eunUbEUU899zzbG9vc/fufcOMIMmzAiJB0miw/XCLdDKg2WrT6fZot7pMp1NkBM1mk431FUoFP3r1A37zNz+PVppC2dDpqEmWmVpW23cf8t3vvcJ7197nox950dQF03Dr5i2m4xFJbHxS9vf77O/vMRrvkTRic70so9FIePe9d8gyk637Bz/4Hnmes7+3y3A44IObN+h02ozGQ9bX1uj1eownIzco1T/CeXlU7EUYUjvbAkJ49pOF4+uYXO02SLH43LopJWyWsamgBI7Jq53rGBEfdhteSwffDn9zQt5878NQ9v5qQlAxiiEos9d2ANLiB+EAiRefRuZJKtkhqFh2/0yBQqe1cZR1ZiVhgV3FhjmNvjonbKEKEHQl/LD6wwFH6koG1BXO+XcqZs45vj2O0XH/LirB4Hs7o3xaAxJgUsihHRiZkdv2HVV7l6Iscy5eOMvJ9ROAICtKbt6+T6lKinKKZgJ6ghYFAllj70xTSBl7X6tqRI0Mcw7S5v0b8GMSDQuHXxHY+FZdWUGEEBRAOZMgUnhgF+6VAhlh6j161tF8JvU8F2d8XSPz2hUgI0QUk0QNiylMyHscV2bio9rxgMcDFYP0ZWRuqtyCdqwMgnrIrd2YRb32lPl8/j5zDIeeJQDt4GKXXQBEXD9cXxbaQXXd/hr+7lpoghPBQjEmo6NI0fp9FhytUaXKVBG0cihYEMwvkIrSp/avA34iOBeo5VEIr1MBzWrDcM+bTafHPtNPUuu0WqyurbiqGjZppqlF1eq0KWkyGqeUKiNpxmz0OhRZyqWLl8mzjCxNGQ6HNLs9bt69Z3ytkpje8hJnz5+n1WzRsH4VRVEghODBg/t88+/+zkcJa8TMBJ/ZecWH+L12wD2MEUitVoczZ87Q6XRpNpqsr63TaXfI85xbt+8wzVI++vzzTCYjXn3tdZZXV1EqZ2/nIdM8Jc9zykKRZhnNVotvffsb3L17D61hqddlbXWNdqeD1orpNGM4HLK7u0O310EIw6L96JWXGRweEgmTTC8vS+KmREtFmqcIW9suTUuKfGqnrmDr4QO/xlSp+OJffcHPY5NLSHHUEgutKQIrQIXjLPxZnkQ4CtosalJUQMa9utkNlGOvK6jYIyvYhWYe59rN3lNI9rssBmgO7GifMVcFEEkf1ZmqT4BLn+G+P3t1D61s/qjZ5HLhZhbyPEff1jJmjsmYeW9uDBy4nFsDHw6D2KZnhqHe9+oZQsV8AZAN9x5dHVu0l4Sg5jimZ7a573lZDGhd1mT1QsATgDMXtJE0Yl547jkaiUkCOxxn3L37AESBVjmanELlJrEqR4Bkkdu9M9gzlAsQEIjIgVGN0NI7PFduGQJZVmSG24eVCCLSfJM41rBGgCgwGZnd82KBXzH3lkxGMhuEohQKgRYRWk/89cJxO64dn2nZd7CaTlJKIpfrRJjU0W4wwi4KIUwCQMtGuAKd5qecexFaG/peOHuvvZ8QJuOsczJ2i9CgPulOqpzJ9CzSVjarY33y1O4bTm6N9V0QyEgGSFhVE9B/1/6rqmsuYlmMX47VEXVdWOmZSRkujJo5qp7ch5DRIRirWW2iKrVROxM0DPsD1k+deuwk+UlocRSxtrpq89EY06bSkMQxWiaIxjrdbod7d2/RJafUAi0SVjdPsry0jMREJba7ppzGD19+mTfefosoiYNitxJhfaYajQZa58RJ5OeI1rq+rwBQAXEh7SxwJpKFWyuAYf6q92bmYZpO+Zu/+RJSSq48cdnniGk0mkymKWD8fZZ7PYo8oxkn9Ho9oo0NGg2T18bVaxNxxNaD+8RScvXqVX75l36eslSMx2O+8c2/I89MeQ6I+PM/+xNEZCILszSn12qjKIxZWiiiyGzM0jKjkY2UFGXl6+JIEK2rFBdujbuSIM6MvHhEAhgoQpOH8J96v6mF11h0sNoItf/e4g5Un89eVc+dZ46LOdCjtcuPYjaO2nX8hl9doWb18WIjYH2OaPV+VuMTHhMOfNl7Sg/WjEYdiSqnsrtmfWMJnt0CHPP9GfnndTXh/6jBDxGMle2LwJnzjn1M3/w6CQfLHlgEdrSe/dsjHXOJUD4vAD9HAaKjfHjcsTAPjbbMl1KLwDGB4l1dtywLms2IK5evIG3CvskkI8sztM4RwjrOY/JpGR+wGS3CYJogfYTtnwugkY68sCA4MjNF2H3WmzHdGNj3aoxMLkJu5oba/mBno42M1GU4ly1oYgaau3nlftfCBE55WVHfT/9egMe1kCbWaF9eAow9Tumg08EEF9JFeZRVUjKBWey25lCIHkL6KwQ0LpopfCBvtnDOgtiS9lrVJ5bStZA61/yg2hdpxq9iUCpn62Ac5gSNY46oAZ55kBHci7o24Mxz4WIpy7KWONCbuGaPBczW7LFwrBaxa0rDzvYOF5568h8H4IkjTmyum2g8ZXIy5UohVESaNXjuhU9z+bmX+I9/9O9IB7cYjkwZg7/9yjfQykTxrK+t0+116S31eLRjUvab1yqroqGYBTdNM7TKiRtNzDoQPgR0djRdET4zzUJh6X6f+cJRWiIu4lDy7HPP0rOZp/M8BwQvv/wyy70e7Xabixcvcnh4yP7+vsmfo0vyrODg4IBWu42MI2IpSKdTyjzn4dYW2GubeymEBCmdYFKUJTQaEUrnoEqT4l6UoNwWqi3lbVMIa1WBEP8jfDK86hMdBCEcBUw83FnweSVIhBu+DzGl/e2CxKIhIwszisuia7gwbntF5yZbJdYLr+tuOPssyv/pErdVW4EMTjVjenxz3wx6pet3rBib6i5C2HImdsOr+QO6/3n54p71KM4nlDvh87pt0YVh26s7uej9ioJH+XFEk5OrDgDPseYh2HHvJGRpVPD9D3vLxcDnqL9rv9t+IergWAhhCAI7vt7vVRU0G13On73gz11Z6XLp0jneevtNZGScitEuv5tGzGpgwlQjaDQaCCFrsigSlVsJQgeVBPyXq77HkU/J4vdPl7Kgto6dYlPBdQ+O3Xf9eFRO0+4KRu6aIuVSGNmEUp4MdnOp+uvvA3i0tctqNwm01wAs3EEIM1DmoV28vxmpUhUegLiorMgvNKcRVJuE9NXJzcZuQkOVIzSMcHFOeBUHFjxwXUh581owwF6Q4daWOS7dgp8puOmFTzCxw+vPOU25VTUDIszatyLMhsh6TX+BxhBmS/b3VTZNfJAz4Sh/nZAinR0PjUKVOYcHB6hCIRvHm+t+EpoAzp0+TRLHpJlhd3LdJC269MeSyXtb7KQ9BtOCptA0201UWfLMCy/Q6fQYDgcMBn0OB312Dw4otYnkkzIyodN2w6+EuQXuBEybzUobKu9mIwn/Ntdw4N9goRkBq5W5pyrsARu/oDVCGoDzyqs/IpIRSZyglSKOEwaDIevrKY1Gk83Nk7RaDYqiREhj3+60u3zlq1/loy+9yNraGrEUDAcDpmnGNEtJp1Omec6Vy5cZT8ZEkSAvUvqHA/Z291leXiGWJjv1dJKTNBM0EXmW2gR/ysgGpUls1mbcGtQYh2Q7Pi7I1XE1BibMjhO4DbH6e+ZMHezm4EOZqyCgUKsKZ0ugawkHlAJ/npnOHCVGnb5U39jto1edtOdYIGikXXC+2/GrjcExHe6J/QlzbO2iVj3AghhAz+Z40719BlOWUPi57fosMOykiz5zj2skr/VFAVydOiODIlwIejBSc90Mld4Q6M1AhkU6QHCR6ldV2w+CzdSDmkoO+lu7Y/bZhK7GvC47j25H+fkc93dNhluWzPURNIUIk+aWqDIlTyXXrt3g9OYJlrtteq2If/FPf5FXfvAt9g92TKqHQiGF+dG6MFHV9l1opaGMIHdAwkTtSqus6LLwQEzaXESuWroZD8x7ljEm4telb9BQlmb+yBB41EmDqrm5FwIeu++h/fdc3nykMqVapMCFpatS2XpdpnyUKTn19/DhwUZLKZdjwqF7l4hQVL47xg/Zaa3Gvr+Y+jMPOlsw0wMOazJwP+EmPuujUg2Tu3LdNGUWYd0W6p8Dh7Crc/wrcCBDax8Wr4JnmDWJQeVcCke6InhHZN9BlyBMz/TN3j/0K3IAxgzzPMhapEXM2psr5zcoVcRkPGY6GtNNlv5RsDznz52lETfJsoy8TFg68Tydcy+STBqkqsmb1+8xHE9Yi3KmmaZUikePHvH002tcefIKrVaLvMjp9bqA5q//5q/Y9gnoVJ3t005G6RnBrefSAwBz4+v+nmMRLZMXSUlZmKgMp2w4qF6WJS+++CKtVpvxcESeZeR5ztraOtPphIPDA9Jpxmg0QFk/m8PDPidOnGQ8GfP666/T7XaJ44hGktBoNgFBnuesrq2xtr5OWRSsrS8jBDx8uM3fffPbfO5XfpWN9U0ajYRvfuNr9JbanDp5khvXr7O3t8fy8hL3795jpddjb2dnXtuyG4l59qCaswPndvwqcODAhPbz33nB+I1p1pk3UG5Cobto7I3+q+fWVN1x0ylzdeDgNFUH1oKj/nbzK8pFmMxu/k5i1Lf6Siuuri/9MTF3lXrvAg+nCqH4cfNKZ421WTBP0f5zp3A6Xw5hax/VriGO75WHq4tO0bV/5vHRrMLJvMKpjmTAZgCJnlFWtPa43DSJEKqSux9CPh5lzlpkEvP9dYqt6SLOcqJxPp9Yk3qGIOe5555id2+PP//LL/H8c8/wkWee5FMvXuZ/+L//n3hw/z7D0dDmvhoymRySTSdMJmMO+0MO+33SrKAsNLo0pmTl+qcU3U6Hbs+wxkWRmwAEmyCzGhnhbGJVXh8Z4Sqqu6z+4bjXQY0bZBspNjNkpS78mPtEw0Ja8qSkJKEorG+bKmg1Y6K4gRAx6JjpODv2HR0LeJRSRiQ4EL0AfPjNVlQAB6V9YU9HEVcChMBWWP3YQDPjIyRN/SBbN7LOuMxs7rWmTfJB12EfKm8H3FH1lfI3Y/7RQRSC1QKULb63CL1XfRE1B2qYX8+zNGll45ZzjMBsmwV7Mhj3WebpqIUZnqeURoqILJ2wv7NLZ6lnComHCupPIABaX9+g1WoymuYUSiAam5y8+BIrzXVK0SDrH/KDr7yHlAlZOqbMMj744DrXr19HCkHSMNmYO5023V6Hvb1dpNI+Z4T3xQGfIsFko61rKWa6V/OlGssFYyr03KIHjM+WFKjSgQTr+2GjGb/zne/QbnfotNp0uz26tm7T6TNnbKmJHBlJ2u0WjaTBV7/+dT716U+B1uR5waOdR8RxTFmWvPLKK1y+fJmHDx/yaGeH8XjE4cEBUhrBUpYlqhS8887blKVifX2drYcPSPYjdnYe0YgTlpaXWVtfZzqe0mk22H30yA5EoFi4MZoBD37g8J5umM3dmT9mxkbYYy6PVv1TQM/JiUWAU88IY2H7JhHeN6Fap2LmXQYdnwMJ1X/rZ85qu/MMxOwn4dM5hUyjPQtRN6F61B38K4OjZqPXASis3XPRmnfTfPanBqAqM9eR11n82LWm/c8M8hHheMwrciw8Ngu81Nz7q/zpPmQH/wvabB8X7V2hAu33VIwZy6whhdAFzUTw25//VX7tl3+Ze/cf8t0fvMK7167zqU98nJ//7EvE8mPmeto5SpeUSpFmKePpmPF0xHSakU0LJuMpk8nElp0ZkWUZH/+pj7O5vk5ZlhSlAR6VwoWdPoYEyIuCvMiZTFOWej2fWNI8pz15bizcs2p8SoSwiWpdlmUZvH+zTpUW3Ly9y+/94X8iLyf89Gc+zi/8zCdZ7nVpNFoUheDf/Pv/dOz7eKzTsqGYhHfWNCFqdYc2550PyiY39hkmbMFq4Z2iTN0opzFUCyRCeN+gerLCummmNmEXMB2e1QmBh1O8pAyqBJs+1bRwhM2CLCyq1mgMCi5nJqsRqPYO3o2dSvWfaVLMk8sG2VuqcWbhHsUIzJrTnH+UY8Ock3jYwoXuhIGFc2xvPWBt8wTNbhshBEVZ+IRzpkpzMD7/wEHQ2TOnWFrusbPfR6PY3ztk5dE+WUeSR03iMkMqk625WZR0e11azRZFoRiNxhz0DyjLkoP9MYcHe6A1SRKZfVVoSqs9Cuto6OejpqoxJ8TcFKhMJbPz1WUMn9mYha2ybeeUcBSuNpyEEILDwwP6/UM++cnP0G62GA4HaKUYbz2gyAsmkymtVoPhcISUkjIvuPr2O2hhMks/3H6EjCSdTpdT1nF9bX2NVrvNSr7MdDIlTScW90fEccTNGzcpleLGjQ8wdWcVuzs7RDKiyHO/7iOcAmO5KSu3RSQCEqTa2vyG7JgVL13qO141flXYt1bON8oyMw4kzYKT8FLCsUTBnXzOf2cWce+u/j2qP+3fi0DCPEgz1woDKmbeux8Nd26d6XFKp7CdMuxGBcbmNhiv1VlYp7X1j/zx2zzrIzzIWQTmF4P9xdeabSGg8Zd1yT2tEl3dR/nzj/ST8b/b+bYQtNbbUWasRQrlYgWYwAl7/jr+1Szoe21/i0yfBQqtSlZWVnjy0iWSOObShbOcOXWCN65e4ytf/xY/6C3x2U/+FFcunjEETBzhcu00Gw0a7YRWlpBOUvIsJ8tMdGdRFIxHY9qtNs898+TC/eOodpxC8fdpwZKr3Wvr4YBvfvMqF8+e5b/7p5/jMx97nlbDFB3Oc8VXv/4aKi/mrhe2x0dpCUxlZMcyLDwzIJGDDJrORyc0TUVCeubGDa6DT5L5xVER+cI73wksFX0EG+L+deIsfDFVrRBmdiU86xRFEVoaU54IJPZsKLvZ7ATHSZE63RtkWRbuqapjR2kAs80jbwt4QpA0a26bZePMeaa8Qmepzalzp+mudPxYyMgUecvzgrTMKcuSRqNh6vxYASdn2Kx/CE0IQavZpN3soDVEsebR/avs7w/RyRpR3KLVaFD09xhkh6RFn4ks6XY6xFFCFCesrXRpt9vEsRmD7e1tJpMRjUaDVqtJqRVJEpPnOZPxhE7bpHafTqaUCKI4Jo4ik+FUuPIkeKq3iooJfFakro2nBksPY4G09E7sUkgPcJ25c39/j2hjk5WVFTrtLq1Oy28KcRIzmUwBTTZNSbOM7//wB5w7c4b1tTWGoyFZOkGVJaPRiMFgQCwPycuCKBI0m03K0oDBODb+eUbjU2RFQRJHRFLawqDSRshJI2YDkzYO5zggqHV9c8exBo450MFxCwUCoGQuGZiZNVXCwpBSqi2luvKEELUcSTWexGWu19qbSJws89+1/8L8hkbwWdg8U149XfBZ4FNS+46TfwRAR1O518rgS2Em7/AeVpu2qOEoKf7hm31Tfiir3yugWLGhH77VfXV0/T81IOWc+MP7hf9iAaHGjUJl4ns86JkBKIEchTqwWcQkCilN5bMgWMd8uDgzUkiIeINtMBmcK8S5s2c5eeKEn3vNZoNPvfQCT11+gm99/1V+/4++wAvPPc/Pf/ajnNxc9vX+jCLfQJOitZtr9sfK9PXV9R9bngshyIuc+DG5b37cNgt0srzktddu8hdf/DrnL57g//Z/+d9xYmMJN0ijScoX//IH7O/1+T//H/7Xx177+EzLtlio0zoF2FTjdhq5CaAhIjLCWyhnDfLpZhz0cKDJmAAtCHIv1Qo2t7BNATzlX3wlELHCKhgUP0jhpKyivdw5bgAXmaecbdHbTjFMFsICsTDyKxC0xy3pmkYopN3YXP8gfLXeRyEQ9rNNz1R+d4BnFugsur9/HkwK7lNnTvLCT32S3tp6TXgbQGOinrwJTGuKvCTLM5TS1sPfhIJHkTzifv/tWxJHnDhxkhO7Q3TcYjiG4eQ++WCLPC3YTzNEo2Q4GhOLKREF/UPLWApBHCegBaUyKQiUNWcJVSCFIooimu0WS90229mUdjMhiiTpZExRFLSaCSsrSwxHI6SM0WgmkwlJkpDnacDCRdYRUNucPhU7V2fyhH/HL7zwAk8//TSjyRhVGEE6mU6ZTKYc9vscHB4wHo0p8hwB9AcDtDDJBl025dWVFVul3ITtb25s0Ol2EEIaQIsgjiNG4xG9pSXiJOGVl3/EyuoqGxsbpOmE/b09Wq0mrWbCO2+9gSpL4jhmd3eXuNW2uZ00zoRQtfm1Mz/LDSgJvzab7qHaPKq/hfmadVTWFdgJ5+OiqSkWr17PT89o9GFZGPdFfdS1ZwBN7RMdnnN8q2RCqPcaxsazG5V0q4CHdq6WDgAamaatYJ5jXrQFgNopi/ZOIdniEU41tLXr1ORdpSDXntLTn04ZqPUiGKBQkVzstBz6VZqdvA5SCUHxAkk9+36r30NG3F2+DnCqdVpNZWmjOaM4QheKaVHl2jFvUDM/IO7m4byuWEsDdkyw9pNXnqTX6dRHSwjWlnv8xud+lo889yx/87Xv8f/5n/6YT3/iI3z64y9wcnMZEDRERKvRo8xKKLTJgSMVqlS0Gg021jf+i+T3j8MI/TjNze1b9x7xF1/4OttbB/zqr/4Mn/30s7QaiRkfrdnePeTPvvANzpzc5Hd+69dot5Jjr3t84kGtXeCJ98kBfKZgrylYNkV7wGEmbETl21KxPDaYxb57P8gBqEEEqJpq3uvgfFO8UVSArKY9LcgI6n+th4DrmUWjsd7fM8JSRlH1/MG/OihDWzMd2fu6+5tpK/wzh89Sm2ai7iBddU2bMH+lbF2emfpbx9CvJruyof9b7TbPPv9RLj71LHGjcewkd59FQhA1JY1G7J+tKArbB800S4mjiGYjCb/899Yjf9wWRRFrm+s02/dodbp02znrpTUDEZMXZtaWZYOyzMksYMiyKUorpumUsjDhoMrmhJJSkmWC0dg44+3uRDiHzel4YM1MLv1CQllmZOmIlZVVojihKFKWV3qMx2PWVtc4POyjgXSasrq6zKNHj9BokrhBFCVM06kB6tIm2SpLUJrr197n7t27Jn+GFHS7PTrdDs1mk/WNVbqdHpGQTNMp3U6XH/7gB2ye2uTEyZNIEVGWBVma8dJLL7K3v89oMibNM956522KoiCJY0pLB7c7bZJGk8lk/P9j7z/DLTnOO0/wFxGZecz1dW957w1QQBUK3hCGAEiRohEoUZQ0lLQt9axmZ7tndz/M88x+nJ1nt73TdLda3a2W1HKkJFA0cvQECcJ7XzCF8r6uv8dkZsR+eCMy85x7y5AgKZBC4Cnce89JG+aN//t/HZPnz3PVVVdz9tRJxpaN0VmYlyKFWcqalavI8pSR0VGazTpZmnLk8GEiX+S31z/JFRHVilDIsNzIdcXEE6I8+1uvgoIXGIri8KAcFYzApeoULQ1IXIU3cFAlZSXUvO8KZfxKf7scg9APBpf2EyzBTskEuICyPNjpuVMAfeFcB9qHKRdKoVfsehUsJYLdqh7XCqX738Orr17mF3lenCrqGgEFiA8kmgsbt0ICYVgUMO2vHpzZXU8FCS/1RJEOIM+5QlaGdw152Jbqy4tZBBbPEakvVh0jkdmSVyqwlGF6S84s2XMajTpxFLPQaqG6MqvFF5aCXakOvQvATofxtCWICOOrNEkUs3P7NuJo6S07MppNayf4lU9+kFfeOMxXv/ZdXnzpNW6+8Vqu37+bgUaNmonoxE1s5jC+j7IsY2RklHq9vuR1L9Wcc0VU8w+yOeeYmWvxrYcf58mnXmTPrh38/Cc+wMSyoaLCQ5Y5XnvrCN/57tMc2H81+67aRhRd/jkubdKyojYpv+icdbiekLPiyIKuLUxQYUEEVqdaM0MtMRnlMhWQ76OUdK+tO5gHnKtqHKU2UQKui0905UGFKyai6zkuoMvwVyFX+5IqyeQNvjwl4LFL3FsSS5Y+Cz22Wv8O/iIs1ZTyG6ArfXcCu1NlBsIzlJ8pnycI1m1Yz55rr2NkbLw3keEVtipAS+K4uF+zslhy32/9zNqPAvxEUcTqNauZ//YjLLRaOJt7tsailAcwfoEmRtMcGWRiYkzmo6KIikqzjCzLxNaddul0OuTWkXZTiRbwjnedjgAT7cM7u5MLTE2fB2BmZtLnkIiYX5hBKc3CwhygSJKYLE9Jsw5p1gHlGB9fRqPR4MSJEzK2mdfHPaDqtBZotxaKDeSMPSN5cBDmITIG5wT0jYyMMDc/y0J7jmPHDtNoDDA0NMzQ0BBZljE8NMT4Msk5dPbMaW684QADAwM0GwMcO3pMfHsGBnj5pRcYGRrg9OkTLFu2jOefeYtz584RGfHZiYxCGch9FGeWpkKj92xyJQAJrVyd5ZYndXzkC4vI/3Baz8bcz8r6c4LSEwTiD0IIK6Bi9WLRJS+Gdb6HVgIatWjplxu3l7+VzXKR70chrQpE5GVW5TzVd2xPP1WCH9zil60yGgGglavaAzbCfSo7Qc9LeSVZhVQnLBIMhRODBxzOAzjH4tJA1pXRrP3f9SqliwdqaVN/rw/kYiBUztzgbqFAcn85UeqjyBTRTyEoQFVku83yvv0BnBZzOEBuUyT3ribLUkAi88ZGh9i1c9ui9+h/p3oSsW/3FnZuWc8jT73I3379IZ589gXuu/tWdmzbRLNW9+XYBODGMYyNLrvkdS/WrB9E8wNYa6FlueOFF4/w4Of/GpOk/MzH7mPv7u2i6CHjOT3T5uvfepLpuRk+/IH3sWbVeC/BcYl2WeNb1Q6PK4JFqS4QOc7/Uty39KEJnioumAgqn/e0ouZK5ZpemGpVAVoKuaInV3R14hZCsnyKUl8LF/YLWEnEUs8J4cb+T619MjGB8r0d6zWixX29tHNclTmqJkfspwV7wFB14VKCsQD8+kt3VK8hwsARxXWu2rOXbXuuJoprP1BEXrXfA0Q/YLT/vTQTGdavX4vNUgEweY7NMySXlNcugSCMtRGwYoyRvvT12DSKWhLRqCcoPVQk1LK5jGkUx6Rpl06nS5p1yXNJ6tdNU9JuRpqmpFY2Hm0i0tQUG7lSuhBuc/PTBZg+d+4UIDl2tApVqkXb1UrjtK8yjVcI0ejIeA1TkowJ2ZhxYfIsWmtmJhc8GFGgDVkq6ea1kjmXZZJifnryLEkcU6s3mJ6eptlsksQJ1koJDWMMRjta7XmMBusyokj7zMrSj846TORTVHggY/uKP/S2XqVEsq/L+2mtsa6HaKgc54rzq9xGoWxY+w5pdkVFjPSt7f7r9jM1339zBUXVu+blZ2keVH0FE8vzyn6BEOYv36meY/sUrMqrVJmtICOrz/K9y40A5PoUSs9kLKUGBfa6OE5okRLweFnsENkW/NkKEHTRdCiL21JpT6j0US8gCs/c24TJknOMMTikNp3RBlMXwNPtdmk0Ggw0mpw9c5Zu2i0tDX394q/qr+2fxKUsX76WFePjV6Q5KqVo1hPuvnU/mzeu5ZvfeZz/9t//hF07t3HvXbezauVKtGvSyhz1WsRAc+D72hMWWULeQXPOMT+f8ld//TgPf/c5DhzYyYc/fBPLRgeLvupmOS+99BYPPfwMO3Zs4f7338hA89JWiv52ScBjTFlR1XN2HpK6xR1f0SDCB4pKIj8vSHAVMVVdpxUhU71GSD/tlPIlA/D3F3OS0mXuHvmqj11xgOsnnsuJprTqWxjKP6MUOCt8KYIQ6Uf8EhbWg+KLjLvVBb6ExtEvTHrO6VcsKudWWZyLCfcQSTc4Msy119/EyjUbCibsR9l+lHdTwJpVK6jV67TaaUWI+TF0wVwhm2WeO/I8JetmSDbloqML7VN5oRj5yEGtNVEcobQiiQ21WlPGwiday3MRwFmWeSAkjt9OiRmw203J89SPIwXIb2dd2fCdE8dfZQg5UDIfih7WiGiX3tU/TDs/T5VC/DtyXx07+Ha5jCTkz9Iaa1OMktDP+dkpFvwGgoLW/JSs11Ajx8GJE8cqjtcCaXIcLnV+ybg+ge1C0NXihV0so95Jbr1sEGa3CvwrG4KrXk71TTBFiEwJvj3V8/tbyTB4tahPDCx66P5PqsjoHbfQUX1KkmcTi771aERwQN989QcEUI+f+1WFr2AmqsEWLhAqQR6Vsroq78o5ewVv46rX6+2kXlZpqbP7FL5Qo6sH7Ngiw721eV/pIlv2jyv7p2d4K/IzyAmNAu9wXH3OQjbr3oc1xjA0NEQcG9rtdoVxVxCZAjRmWYbWmlRoW4ACqFkne5wAPTGZaU1xHUeGUjnbtm9heHBoMUmwVN9X3nH92hU88DMfZM9VO/nLL36Jf/Ev/y13ve8O7rj9VupJgjFLR/ZeSet2UyIfqPFOmnOOk6dm+JM/+RoXpi7wG7/xUbZvXYvxRUvz3HL0+Gm++vWHmZ2Z48Mfvpetm9cuymF2Je3KSktQmYI9C6+CTvEApGBhFrMUxQbUl7skLML+9R6YJQEfBoyWnDgEv4wy1L0UoL2Cq9ji+rSiJW27ztG7AtWiSV9tvX4+VTF85aPQD2CKe1UeR/UdD2UtlKVs0NZCnjs2b9nG7n3X0xgYXGKD+QlsSjE0UEcbhbUZIeg/BLKEeJuw0xUKnUeXrijqKpmaAchzlILcz0OCUFUlswiSkVl5KrpqYtRG/L+MMWglBf9EIMtctdaS50Lxp2mZYsBZWwjxUDgwbEzlEpR5kgWQHd5PbiJHKKAo5eCRhvVH9m2iIakdYR3n0qfCODmU9duGyouNpVhuAT30rD3QtrqeymZVGRBRmKErG5uysvkEJTdc0BVvXa710tRaAqPepWpxTi8WjopSTlV9NqrLupBvizfucM9eXnrpttS5S39WfreIpaj2uVt8jjxPOabC+C0GGyJfytqAJS6sKG2WAvD2m74CAFtSeVJhbEq81H9soegtcX4AyK7iiyO50yqmLGuxtkzJYfOc3ObiglFheaAs3FnMmYpTfGB3la74l9oyfcgiBojgjuEVAQvdbodO19Fut4vcNQpFlsm6Dj5FC52WmLMyAWgFExVGSCtMJPXqtBZWtVaLiWJFrFOu3rObJE4W9/dFmkOWr0MRRRHbNm/iFz75szzynYf5qy/9JS+98Dwf+MC9HNh/7RVfs3ecHPMLLQYHmsClHYUv9YzOOV56+ST//Y/+ki2bV/KLv/RJVi6XCCznHGfOTvGd7z7N62++yU037uOG665moFm/qOJ+OSbysmHpYfMNT2idXRwhVTAf5WSX71yRbr74XJXfBQ3VVQRN9WHD90pJIc+Q4bm4kw6mLi/4qrpMWDShUFmhmrji+0LAVTCS4IKg/fin9H/3AxmvfJQdUf5YJMyW8kEo3nMp5qUCdKqLt18zkY279I9yDpIkZtfV17Bp+x60iX7krM7fVVPA8NAQg4MDzE5N++KvgPJBmNZvTgUb6AGx9kK8uApS2wmKTbbcZErN2DkKPzfrHCpXQBZIg+L8Yg6r3k23GD/PptRqEn1gTCRmLFdxwrShSK+vGecjtZyVooI2E4Ev7+mwLu/JkB5+KqXEhB/evcLKKP+cVQXF6IgS+CsR+Mo7kBbJRv0Lu8WanmwAYYEFOYFsYm4x4Cm7zhXRcgW4Kb4NuXpKZUtLdsgSB5VRETht5bmtf09fHoPK3QKQFUFb/biiKIVBX6q5cgZRfbIq++LKORZYiPIejqqjbBhzVcgu55+xfIZwvmDayoTzuHOpgsbhfXr8/vzcLJ1ly83I5TLHXWRFBjuHcjlaVYIw5I1KhaACsmRO+nkQNiMlPpQW6O9N8c3xa6uat6iS+DOwI2Kyzgt/Rmd7zVrF9WzV9OKKeQeZvLeRf0qpcq/S2jt7h5qOTkr7uLCmJA1Dq7XgaziGZ85xVhyrrQeoyvvY6cSgjCLWMSiItCZOEqI4Joqjolh1YHmF6clp1mHzps3fl7pqcSKjbEYjibnhwHWsXDHBt77xDb7w+S+wbetmGs3G93xd52C23aYxMBBE3Pd2PpDnlseffp3f/4OvcO/7b+BD9+2nUY9xDs6cu8A3H3qGZ559iW3b1vMrn/5ZVi4f7cUji57JcezkWdavWXHR+14+LB2gIliUpUjSVUVTocp50LiEeZGPyuR13m4b1La+J1/KRKP9ZuCXfFHHSyu85u5KgVFlm3AF+ncX0TKXRIO6vIZUMPKgr7/qLEsPcgVS9Sy6YIu+XLsYExV+RlFU2XzChqmLHEJDI6Ps3X8jI+PL6Xey/vvQNqxfy7333sOX//qvmJueIu12C+HkfIZp8clROJ/J2CLgWYpI+iynNoB5PIig9LENvmZhpVdDqX09OcLGFMqHSPk/L2x710+/6QZ6S5UAJVXuxE/KGS0BBEphdK3SAzInghZZ9XGo0v9AwS4Jq1SagpwLEYAKq0vwUwB/LbXFnCvD6gPwLvrQd1BIeAf4TVUcvHMVGITKsfSBBj8Ai9aZKmCiHw6Fs1K7S1H6ECmlJLmoVijtzQ1oLLl/n0ju6SprtZKAsLgGvWuxt1XDuMKYludX132QYQEkVlmcRWYfQdOQ2woY6wepxW3hIjIuvMNiFriMYHMoqVWELkyjVikCfBUTaFAW8H3s0JQKGE7GXoSy7AVOqYvKoN4sOqGvkBxWoY9s9V0DmHE9c1uY0Axrc7Isl+rj/rjyuq4Yl8XmNe0DD3TJzholRal9wcqA05XzOc9U2S9aSU2qSGnvAiJ/m8iIT2Cxp/k0F966IWAuLxSaNE+xqS3LCGF9+hbL6lVrWLd67UXHd9F4+58R5VgZBY16TKSHqTe2MzoyxOzMNMuWjV3xdavN4ug6SP38XkKN79kgq2s4gJ0vfvVpvvjX3+CXf/Gj3Hb9dhRw+Ng5HnnsGZ577hW2btvMP/z1T7Jx3XIiU+KLxXcrTVuvHzrx/QOeXqq4BAJhAVcXUkU0o1E+S2/1GmUnKEURJRS0DhHcVSFfCkmg8GlR3g5hnUMH5qMS71oKlBLt51mvphtav++MLH65d+keWj3hUr1VXrMaGqnCQ13BeeF5+oFO+FddPMUGg5JNRkds3rqNrbuuIq41/t6wOv2tnkT833/9l/j5j32AudlZJqemOXT4MK+//ganT51ibm6e2bk5FhZatNsd2u0OKrfFBDPKYP18VoEhQIs8t97c4qsMh3ENlrDgiKkoUwsoFSr7Wmwl+RtVyn6REFZYa1BqqcDd3EcwlQYJY0zBbAQQLEJcnLJVpaBeqe2H+yyed1WAJKAmrziIluasYGqTDSc4oapik8jzHJfnRYZfraMCsDulZF/0IjmAmP4mG2qVOfJauCplCcpnULd4MCsiSmtRBiR1hGzOFlC2kuyx557KmwytBz5V1qtkYopWpMdfDIoKeeL7yo96ofX3gp6S7aHoRc8o5GW9o/DdkqyIzRfpU4U2rCq1C13A6dorjp45dwpnfU4vD2KctmgVlUkdtcIpi/NmIKvLDdpaC8bXn6Jknwszav8zLyEW5Tq9imJ4r15mJ/V9JixPlmWFmSvM5wB6AtAJbFeReLYyRloLWJHghdgr7zJ/4jgqxj02ERi/wj1LWJqwIz9P5Z3z3GJz/9OKcUkATzClWzL/HoF1Cs+nFBjtiCN57zWrVzM6+L3VOwzzxCiJSM1jjXPisxMnEXG8huGhHcTx92eOMkqxctkoF2bnOHVuCpsJ0MNpBocbDA0mAti0wiiHh4Iy1Ry8feoCr751mH/wqw9w0zVbmG51efOtExx87S2yzPHzn/oYV+1Yj4k0Fpjp5nTSnBzIc+VjmXJGB2KGfLqUbprz9ItHuee2fRd97ssCnmLiFiUZpDvDRKlOGjnWVzxH6O8eE1XBBlEwEtXvQvHQ0vxUeRbntQKv+ShFWf6hyor0aWQ2y3sWUHHZi4CQwpmvohG5oK0vIVCK61JZlFVK1zmC02zZLo6A+hmesMjDolRea3LOl6RA0RgYYO/+AyxfvdZvNn8/wQ7ImIwMDTIyJEXwnHPc6W4taG/rC+LNzM7y9uGjHD1yhLPnzrKw0GJycopz589z8uRpJicnabfbaG3IrfgIiDOtKdkXJ9DYFIxeEHiyRzhnixwoZUKSQj30gOZizAGLGUHPGJUbqwjPEBbekzlYqeLvfpPWxfpNHqtkWcN8q9fLzds6Cy54B0iz1pJ7E1qWlSBNzAyW3DtrgyN3WQjFKZSLcP9FgMJ/rn1mcLFIeXkTGGTEFwOXk7vSFwN8/hnrPysqtWvPGJuKUhN8NLz26cr6Qb3AxfUMidynLLPjXOl4rbTUyAvpL8Lw9bM6ZZ/2vbd0LLYvW2/VLFVtSyUe7enDiglLntpI7iPlHWetOKFXTebCYEjOKZywHk5rrHOYyKCcRMWFeQLBdBTAlTcl9yuaUJi0qs9YgpRekBMAYRVgOyf+MYX/jnMUMcT+HUJeliiKCkCjlPjURZHBaFOWTArAzDmcKVlaMeN5Vw6bF7NezMYBzCqcyz24lj2ocEi+yHj4XqBA50E8OFf48WilMNqxa9sOkovk37lUC72uFcRxhNaKPDK4XDLGj46MfN+KsVKKsWaDZpIw02qzMJ/Saqd0LHSVpqUUUbCQZkJOaK2JUGQ5jE2M8X/7tY9hYsM8QBxxza717N+9QfY6vwfnDtrW0UIxnxu/70nvNeoRjUQVRMf0fIejJ6cu+dyXBTyBUSiIZuUBC/gIKeVRrp/0QegQBILrERrgNa9qtXQoJlxVuAQ2JwiS4gF6AEUl0VSIxqGiOdlSM0JBqD9T4J6K8CgnoifMVTEL/ZxczBCFFoCJ/6Zyh54erXx/6VawU3mO0dpnNTYFC2WdMA1r1m1k195raV5EAyjMfQUxtzgi7Ce5VQF5VZsZHhpk3ZrVcMuNQLkRdTpdzp0/z/T0NPMLC3TTjMnJKV559TUOHz7CuXPnmJqaptPp0G53SbOUzINqRYimkrBqnGcKg7nMyk/nmRhnlt68AKlJRzl2QJkErqhdF+ayP7LI1CY+BdpePN0BcuVys/a/LzUvev6WnVjARoiQjAzaaVAJSVJ5XuV9qIJCgPNMgoM8xxhdMVGUzEd/Cw6gjmCqkLHKvGnOOIsxsuEGc5yrjL1Swf1Pifd5YL7wANWVipxT4JQl1NkTWeZTU9heM4w3rlNd66WM04UMKs0rVeDkKrJtifd2SHmO3JagyN+zqrh5ESuyp3qJqqhRpZwuWR+H0oYcJXYkv99X14vIfol2xGgx8yhhFKPcFNcMYMLlVPpHFT9VJYqnBHnel4xwX8+DFgDHj3MAnoR3MESRLhJChud0zpurfbRk+K4K9lEeaNmcgqHEktsQ1eWf0VZyqaVll2pryaug3AXYr4UJc8LGKa0Cpsdhi/qM1X4JjL2A8XJtixuI84DHUK8btm/Z+o5ktULqIio0WkdkaZdGklxx7pqLXlcp6nFEPR6EYUitYyoHF6kil5Zzojjp8G5AbCjURA3UgIHEFCup2lNGwYARi5GKoJOJs7gGklolk5dzvH5sirlWzqXapcPSi+KRJUrXGow3VQWnYXHGjOQYR0FplyvQFRMudFSVPSLwrB7YVMGDqgKeoKl4Ier8i5baUZmISr7ypiC5qX+cKnCiOK5ga0KHV+aCQ8I4l7RULqFxLQJGl+rkizTl3yvS2tdoirzglUSCcb3Ozt172bB5GyaKL7ognLN00i7dLKfVauNyR5LUGR4ewGhVQNm/D+DnUi3Mx0ajzvp1a1m/bm3PuH7oA/fRTbvkWUanm9Ltdjl/YZJTp89w9OhRTp48ycLCghQhnZ7h1KkzzM7MyDnev0ArI6DEz8PImAo/VGlONldrq1yh7p1nPi2D85piSM8Z/ukgTRwESOS8Rhm2EoWAD4VUg0f5uRt8kos1U9wU5Ws42Oo6CoxsWM+F/TlHq5KVglAYWMwpeTA5aC1JDJdUEqBeLzfMQqlQYmoM4kPyfFlyJEjCAnmeFQva5ZkACxUwQFBm5AKFgqTw1LxXjnq6QPUEbMjzZEU4v5gybUWIUChcLigdQQHzG1zwoVoMeMQ/pZpXRsSkjF6Pf5efKxcDPCKrewGcVRqrTWECLEw7wZcLz2qIZgtYfy3tWRZFCF8PuWgsriehaQAti4F2KZuDsA3WAEncVx4fAGsB1jx74qr7gb++ODAHx+IwCOXcK8bMm8Pcog7ze4Dy68H1PrdBeR/P0pysg6JOSMPij1XgjIAhVSgioAwYrYsty5iSHAgzRSlfpcA5Vq9czYY1qy+yMi7f/Aj41e/XqI4w0Q8+Q/Jcq8ts1zEwUvfgknIdUHjw9gAa6FcZln4HpSDSkPljwzQLU8U6ePGlt8g66UWuIu0ygEf3LBIRWB65Cejv0xx0BTB400vocl06QUstzqr2GRxFSw0thOQGJ+VegCLdEMBQ6Dwv+7xyJDRxACRhUYcOhKXBShDeLg/aZJjaSxQOLU4pGamqRlGaHsJUrmCz4s37b1+aCozWBR0LGuf7eWL5OHv23SAZk5Va4irV59TUkzr1BAYbTf96pTmg1G7fa/2tOsZRZIgiiWYYQsZy9aqVXL1nV8851jnSNOXs2fOcv3CBublZFuYXmJmdp9Vuc/LUaY6dOMH5c+eZmZkl7aZ0Oh26aUq30yXL0sKEqQuBKb42ttAovRLSw5wEBQFfAiFI0HLHXsozLQRW6QL6hpd3vccG4GQVweW0/LzUxUvTi8iGXvOuONpIOP9iNUAMC8HHoQRUjsUVkOXIEgjloVdCIIPyLI72NexcLBtdsQFXxK4LABAvSXVl7ZYd4AK75N9b6TLPWJX7kXwqZXqBAOpsHtZbAFJBRix6vUJeBTxZMEcKlK6ACBeere/8PlYubNFaayLvSxUKvlofDVfUgqoyMqrCs6jSf6oCSSq/9yt+8kneBxzkcytMmp9XISIv5AOS8dAV/bTqYuABqlJLylNn876xC8q2H3fVO669TyufBUNlAGVhFzBhloY+rSryuOLd0KUcL/zBAOUUOlgl8hztxE+o3mhQSxKazSa1JGF4eIjBgQFuPLCPZUNDvJNmEd8oEGBg0XQz71sT+qV4h++/tVsdLky2GBqpCWgNYMR/H/ac8M/D6B4AFD6v4HUsvWBJ+WsZypCB+U7O8eNT1OJqAMfidknAE1dyvQRzkSw2L9CMKhggicCIejZ8edkS8ARBFpigfjam6iwZciwYrYt/YaE5F8LjS5ZH++mWuwo7FJ69svgvRdcLwNIF6An0+cXOC9rG5ZByMEMJel8MegpdxH9hPSsVRZE3wyick0y7WmvWrt/EyNiE3wwuPUmrz7ZUCvC/78zO99v6QXhoUnesxvp1a1i/bg1AMUdBMnt30y7dbkqaSlLCdqfLzNwcp0+d4dSpk5w+eYqpqSlm5udZmG/TarWYnp5mZn6eVrsl9b5EcskcRJFZWWsKUFahdUS5cYswtuH3YheVM5TfOFy5u1Boxory+zwIMVOYz5RfIsJu9G6EwSGzABUebMv6XcpZ25WbUd8+tIhddQrtlgBC3jzQZ80jmKXkPovHLSgshS/IUiAksNx+w8OCisQ00U1TssyiTUScGF+CRBVyC2cxSSKmDyjHIjhZ9zxr5e8+jUS5vGfD9tIXZfpBxcXWtWSnslAodAK8fGZs68grbgJlNJ0885LoLDzqEp9JAWZTRL+GAy35Rc6oXrAENEuZWl1fBFiPLK9+XmWZlO+v4ljv9qBDgIwrFO1ikAMgsLmYZlzp26Q8qLdWotaKkjrOKy2+FFMUG2pxTL1eK+ptjY6Nc92+vYyNDLJ8+XLGx8YYHhoiMmJ+j+OYJI7eEQjBv0Ew9OQWrFV0M1hoi9+dwmKUopZoanFEZAJTVZ2Jailx19OiKOLIkdOsWrWMWjOWcQ5EWdj3eqdBMQs0JdApgmEpwY514dm9bheIF//dW0cvcO7sVOE3dNFnvNSXSVImOlIVwOP8xq0Cw4OW3CFaLtfDpHihJxgnULTypIV2oUpTVFWzWhSiHkBUSMRWDT1UFF3Vk8CvwuIE8GPdYsHXz870vMcSwjl8vlTrZ46q1+m/b895lBFrSRwTeVOVrTg96ygmqtWK60m5gp7gWC4l7t5rP/pWBUfGKBqmTqNSfywwllfv2lGAozDnMh+FMj0zy4ULk0xeuMDs7CzzCy2mZ2aZnJzizLmTnD13hpmZaWZn51iYX/CCQZNbR7fTLm4kwt54TOPXh3fADhmUJUu3f4bwBi4wOGCV8mblIBdEqmmrSlZJOfC5hIpcbaqc32AWCVDnzTi9H3qGYUmWoO8Cqtp34Zqu52fv/S6y4bolmIOKsrVzx3au3rObPOvyxptv8vrrrzM8MspNt9zC8ROnePW1l1k2toy02+Hs2XMMDDRpNgeYnJrBBqdLR+n3eJG2+DvJgVPxXABAq2jpIp9LXdr1MmMF9sVJGiNdyhrAA8eqvh1MMFcoYZRkD15clWFpGdUbmRjSHail36/yWWVbprpRB79MVbCKVoBK9Z20gH8V0Duyq8q6dT4nlkMJLiIyECWKKNLEichpYxTNRp3h4SGWLVvG+PgYy8cnGBkZoVGr02g0GBwYYGzZGLUkRqF47dBh9u3eyWAlD84PUgEt1it+DVmQbO6yDtPc0enmZGlOJ83EBIwwP3GsSWJTsJP1OKKeGGqxZJwvoqxR3p8U2t2ct946Rhwn3HrrTql1hmcJQ5osV4KbgCMrvU519rnKvwCM8gzyHIyRa3S97Hzl4CnSbpvIdC7ZJ5cEPFEU4SUOoNAu5OXwDIoHPCFp1VIoPEyW4HgnuRNYJJCqLdiT8R3TDxgIzsiujCoQFkV5FqMKZILALMyvhUBbqobVUhNu0f2X+L2fcu01afnr4EVG5R4FRewPC1EPJorROvJmDIdTmuGRUXZfcy3jy1cVe4qhnCxhcgRqNSTPe4/EeXc3VWhTi5mjKIqgVmNwYIC1q1cVnxdsoHV0sy7dTptOu0On26XdaZNmGZ1OytzcPGfPnePUqdPicD05TavdptPp0Ol0WFhYYKG1wNzsLO12h9TX2/IWfz9XRT90WgSmUaUNPWws1joJM7c+dLngHpVnYgPwCOtjsSrmnF4ENCAwV/1fKPp9LEp/j8qTaXwm677yMoX8WXxZMVk4yhNkezTakOc59913Pz//cz/L8ePHGBka4JFHHmNixQqUMVg0TzzxOHfccStvHXqTf/2v/w333ns/d955J//H/+f/y/kLU5g4KuVDT2LU3nfpbxrxDelV1HyCyj6gqNTS18AtATQUEnKO9+lSlTnZo5WXLEl/sZ7g8L6UsOkzjhZXWsSaQ1k+qDxKgE0vjpFxCi4SULgChLI+Mu8ql9Leh42cUHZHKYo8UcqIH1kUxdTqCc1Gk4FGnUZzgMHmIDbPefOtt9m5YwcH9u9lbHyEkZEhRoaGqdfr1OKYOBZGPkkSMYEbUwCr/ndNs4zYSFmGHybL7nBiSiU4bIt5qwiXdxV3DGPIUkdmFa1ORre7QJpm5BY6XakdiHWkWUYrTZmenSPLMhySumJ2ao7Jc+dotRfYtXsdo6MDuNwHAljBC2HZWg+0e4a1Mszl85egrfjMCdOjgPm2Y3Khw3MvvIFSKdbNXrI/LmPS0kWGV60MKHGxtD5ZE8r1LixVoV8LzaxqpnIFugyfldmDRZA6LwhMpex8kTK8ABJlp/QDLfFfqPZa6RcQTEvi8b9Y4C7F7FR/Xq5d7PhyQpdlMHoWQmWEkyQptO7MOnLfV6vXrWXPNdfRaFaisXp/FLLA+qUd3Ldi+hmgfvHzXvtxa2EOFIxRrQ7Di48rgVGlwKIXfGmW0m63mZmZZWpqivMXLjAzM0u71Wa+1aLb7TI5Ocn58+c4deoUp06dYn52gQiZp2GTyb0JOsst1vv+OJtLpJgPBXaBisQL3+oG7cpfCoar8g5CXfdtjhXWUy0SkaGPPEAzWrJsh/UZ7rV4H/YbcfAR8X/7UhsKiVBauWoFrW6Xr33jIT75cz/Lxx/4GaZm5nnz0BHy3HH11ftYt34jZ86co5Y0Wb9+E6tWraXRGMDmF0gSI4DBh/JICoPFz9HfClNkMCcG1sIJy97T3MU4lCWAkAcqQpg4cTQvOkMXGxHqEsyxl8H9kT8OJZFg/i+vkIuSvAjwBFNSUGbl0XTwy6oIfqUU2jisL98QfEiLIBr//nFsiBNDlChq9YQkjmg06gyPjLBixXKWjY7RrNcZWzZKvVZjoNlkdGyMkaFBanFMrVYvqp7/yZ9/gcbAMA987IPEwXZyqT65ROt0uuRpRhx/7+Hm30vTiK9tCHAocxlZbJbJvHOusBeZovaarBulEtLMYZ3GOk2WZrjcSpoOl5HnKbicSClGhxPGh1cxMjrM00+9yu137Ecp45V8BBMEC29FX1EeV/dm4CubgDVvzqIq0+CN18/w7DOvMXX+HFplKHPpvfrSYenQQ105PwON9/jvyaTgnXSKiUmpzfWHYhanVJgchZjLSqOtN5c5VQjpcO2lHHUD/a4WsTYUxwZautRCVM/3xbWW7IxFBLoI4UKjWPyzuKcqTWsXPVZVP9NYZSXbaRyzdesONm/ds6jSefU5qz0SakgZJbp5sOFar7TqgKyVnwCqvwfeaz8prQRGi8s+NKgxPDjIiomJns+rwMDmOZ1uykJrgWeeeYZ/9c//JcvHxvnH//gfk9QS8jxnYWGemdlZ5ufnmZye5sKF85w/d46FhRZpntHpdGi1WqSp5OMR9qlLt9slyzLSblqwsM65QgCWoiJo8hUgpMA5K06gIbJIVc6v7NlSFLJknGwAO4WLkQdDBQDqlTVKuSJ5pPF+dXG9zvvuuZ+ZBctbR15n0+Z1rFm3iVPHT9Os5+SZYdXK9Xz4wx9jZHgZ9VqT++77AJ///BeYmZkWMBVM3LgeYkQr3U9eebAjT19d+RLefBFmmooCWpzg2Y8+Nlop6aMAqpQ/1KhQ0qTM9N2vhjt/m/AeYfYEZ27tMzjb0MfOisNsJdFsMKtp5SOorLAuRmviyEiRyiiiVqsRRzH1Wp2kntBsSJLVVrvN9OQMs7PzZFkOVrFzx04+/OEPsnbtcgYHa9TrCUYbkiQRViaJJdxZlQrxxZpzjrvvvou/+KtvcezMFJvXLHtHzEyaZdSSRHy8fkhNxlARI87JXRTWKtLUkuddSRiah33ZEnzInbXYLEXS0ItztbIZ9chBZBlqRqytL2N4cB1DAw2a9RrNep041kRa0U0tf/GVRzl8+DSbN6/2JIfH6d7/BoqlJ0AorFnV+/zhuAAdnHWkKWSZY24249VX3+Tw24cwJidNUwYHBi7ZJ5etpQUCIopnUT5LqgKJIKHY9Ku+K9XoqUICBfqs+nnPpFkihLHvnNBJof5LYG0CE2UqgChM4grx2dObLjAtKjh2liCmp8OVKnOcVJrYIRfnfChuoXoFS/js4j/lmS2S/KwxMMiuPftYu25r8f3FmqMEN1Uv92Dyyvz3OZB6568sl/6KFMQaahFEOjBQ77W/r62Yk4D2G02zUWfXjh00GnXyPGfnnl0MjSyOHqkGHVQVHWvzwlE7TVPm5+eYnZ1hfr4l4fytFt1Oh7TbJcstC60Fut0OaVfA0ezsLJ12m+mZWZ8DqVVUn0/TlCxLxXSlhE3qZt2irIzRBmNi0kySHwYtMU+lmCMqZM31MsFJ8tDA8GgsSmtyl9NqdXjwwc/x4isHabUyXn/9KAcPvskN1x/ghgPX8+Jzz/PKKy9x1123sX7DOoYGxnj94Nt02ynLJ1YwPr6M6elJIiPuAso5bO4Ltyox9SktBsUCg1XXoxe4QbYU5vx+hqiqPQdaBVGmtAoBEJ5tJ0drSxT5zd955qQoAOFBkNWU4WA+rYFTPrRaNjth7CW5o9Hi69HVmjTNcHnK8NAQcRTJeGWZd5921OsNxpcvJ6nVmJ2dY+/evezauZ3hwUEGBho0GjUGBhoMDw6SxDFxnBBHcZFbK80yzp+7wBtvvc2LL77Ca68dZG5ukpdfeoEVK25j7ZrNNOvJ9w1SlFJsWreStRs28uBffYdf+Pi9xJHi7LkLTE+dx+Ypg4MDjI2OsGL5BLU4viSI6qY5zWZ9ye9+kC3sswaoazCxkUzjLqftMgHQzmKVlWrugMtzklhTr9UwRhPFMYPNGgONhNjoijN20Tk9+4VWmlZrnoceepxly+5leGSgBD3hoKB0u8r8Vj07dO97+HmcZtBqdeh2u8zOzjM/v0AUKQYG6rRaKWNjo5fsj8vyacKK9IISASAheutSZ0upe2utr33Vl0sEev9eAjBUtYnScbAss1Ak+PLPEipY9wKJJR4ySLhw3aAd+ueuIDz54XNiB8pdKNzC/aonQ22VyVl0Sx/22V/nKIpiSbuvI9I8Z2BgmH3X38TY2AqW8ncI1yt7uky7kgYmR1H6BhGEtzA/PtUInS4s5JBnlijSJMZRMwJ+6qZ0FH8Hysx77SegKaUYHh5i9erVHH37KAtz8wyPLrahhU04ukxm2CsxE1cBUwBQ3TQl7Xbpph3y3PZEu2WZz8CbWzrdlmza1pGmGa1Wm9nZGVot8VmamZnl5PFTPPXEM+KnkIfAdiQxHZBnWXHvPMvIHdjc8tBD3+Rb33oIVIRWDcDw1b/5G7755a+IaNDwe7/3BiYy8jw2JYoMcc3Qas+jlPcr8iEnykHmcmEyTIyJDKm1ktASAUHO+94YoxCn86BpukpR2nKRKs/Em0qmYJFv2ke5KOIkIc9TGo0GzUbiyxlE1OLEmyKVz6osTEoUGeJYIojq9QaRiYjjGoNDgyRxxNjYCEmSUKs1qNclEkkZxaHjZ/izv/gS4+Pj/INf/hTLxkZ45uln+MJf/AXdboedu3bw/nvuYc+eq4jjiM998S/Zvm0bd912y5JyZynZ6oDhwQE2b1rPXe+7lampad46dJjHn3ySBz//Fzz65DruuO12dm3fTKN28bxll5yLwKpVK/iDP/4Szz5/kM2b1rBp3UpWjDcZHqzT7WacPXuemdlZRkdHWDY+SsOz8qrvWu20S73R+JEI1sqsINGOqBFRjzUDTWFo0zQn8gmGjTHEvmq76XcUvwLznXMwOdPimadfQ0Uxzz1/kNtu24c2ZbWGwAiGhytMW5Q7df/eBuInmHYt3W6XhYUFWq15mgN1Vq5c7gmPMS6XkPrSJq1KIc3iEVz4u/ctC4c1V5p+BJz4KC0dqrf0n1oyQiWR3isQw3NEiEYSUqDLPbxfjKkk4qowTfK3XjSvnHxRXKeaJVmwkytGQpId9tLIBePifH2eyrXCuweq3LlQ/VYzOzfH0aNHOXbsGNPT0wV4i+OEVWvWsnzlWtas28gt19/B6NjYFS9MVfkXUU6SwPyEnAdkkKfygQZipYgM2Ehsrd3c0e7KUEYKtMqJlGOgpkkiny48PFPwBckdWSZZYWWzk8WizeJ+ea/9+LbBwSGuueZqDr35Fm+8/gar1q3+vq91JXOiekwAUPX6lWjFpUn9Yt/nueXChQv823/179A68sAm+BvmBdDJ8pw0S+l2M7pZhlOq2CSsD/HNUqnXZy1oHZFnuQ9Lt15uiGwxkcKRg4Jakojp2TPf69ev5Z7330WSJFhnOXf+As899zzPPf+cL62h2bJlM++/7x4azYbXiiUxYGSk/lO//Gk2B0hi+U4iayTVxuHDx/jy177O0SPHufOuO7nrzjtYuWIMraSCdxRFmCj2vk+2LL+gfL3DokZbYKXDv6V72z72Akl9iPfddQ979+zihRde4o2Dr3PD9Qe45+472bFjOwMVU8RtN9/I1775ENdcdRXjY8NXNlegkEtJHLF8YhnLJ5Zx3f69nDl3nmdfeIWvfP3bPPr4i9zzvpvZtmV14ZpxyVnkHJ0049iJszz1wms8/+rbLB8f4vTpE9x5xwE+9bE7aSR60Qad5zntrMtcd4GaTkiiMmWLA05OTrN+5YofKZMeQLEBdGxIMLJIGuH7H8TTOF589Rivv3aMwdEGL730Mjt3bWb1qlHSPBAL4YEqP1TvnlVlgqQ/Ie1CluZkaUaeiUJQqyVEI8NkaYpzGU69g0zLaUVi9Oxz1hbmqEIDqxxrfJXYwvfGiZYSKNQeP5QC8FgfZd6PKqsAShaYUVqckz3i1OE5lBwTwEy165bywOkBW64H1lVMSGrxI/VNDBPMahUznpILC/L05ra3Dx/m4Ycfpt5osG79enbs2FEkAGt1upw8dY4jx09x+MQUp84vsHvXbnbu3Mrw8CD1eq14ukvNy563diHxeWnQy7WEmna6UqfEWnBKImy0AecUqZhuaeeiERrjmGlZjIHBmqIZWc6cm+bl197m2edeYmZ6ns58G5tZIiURDkmcMLFyjDvu3MeaNaMMDw9INt33wM+PbTPGsGHjRhSKJ598klvvvG1J5/+/+3a5dSIhxY16ncGhIdJu5pnW1AtjYWDjOCJJIHOWJBXK3xUrScw5gQ2SrMhybWcVOI022uctc8XzRJGh3miQ1CS1f6INeZ5xyy038cEPvr/nmVutT/D88y/y1a99nSNHjtBo1tmyZRMH9l975YrQEi4C+/Zdw5133sZf/s1X+OZD30Ebzc8+8HFWr17hSxv8YNaoc3B+cpov/NVXmFi+iuHhUf77nzzI+dMnuO/ee9h37V4ajXrPczrn2LFtK8+98DJ/85Vv8MkHPkIcLU5hcKXvncQxa1etZM2qldx52y08/dwhfv+P/opNm9fw0Q/dzsrx4SWZC2ETM1594yhPPvMCs9PT7Ny9nX/4Sx+h0Wjw1Yee5LVXDzI5uZ/mytFFYFNHEoFlnePC3DxpplgxKtntc+c4N9Vm+8Z67+b+I2zFPX/A8jjNHN999CWyTDM1Oc0bbxzkuefWM77sVpSOCqay2FZ9B1T9d4Qoka+sgyyDPHWkbUfezei02vKv3RW/MOMkItlFOLXYV7HaLsc7F5afUCxRBENeoPrgiFxWLBdHNeNzPTgHBM/vcDEWU9oSKmh7AFFpOgvPU/ldlSau8nHdIme/Ajf25/dQvb4/4fFQvjChz7ha3GGJytVCzTlCopGKqdwzRFLYMc8tuc04ePAgK1as4JZbbiGu1YrNwlqpa/NTH/05Vqxex4XJWQ4dPsrJE6d55rnnieKYXTu3smrlSjZuWEezWe8DjUim3m7K2XMSaTM/36bbtmR5qFVkPdvjiJIay8dHGRgaAtWkVquTOwlLlLwLEMeqyLcSUg80G46Tx8/zl3/5TV57/U2yLGfVqhUsW7ac9XvGWTE2SJ7mTE21WZjvcPrcef7Nb/4etWaNG67fx/XX7WD3jvWX1azea+/eNr5snEatwbkzZ8nSjKSWXP6kd2mT+l2KPISGI2LC+iSfoVyDxQMYIhy5AB/n84kp8Zxz3rwUnG6sMwJ8rPMh/OWcz9IcpXMiY8i9zKvXG4t8PprNBjfeeICt2zbz53/+Fzz73At85rN/QRLX2Xv1zu8LbAaZOTY6ws//7MfZtn0rf/CHf8a/+c3/xEd++qe45YZrqX8fJp+lWm4tX/3mE7z88iHWb1rLN7/5FXZu3cCvfPoX2LBuTaUEUe/zxVHE++96H//hP/8ejz7xPLfddK2Y5pZo5TYiv1gnLHU3lSKjaTelm1oW5hfotDs06gkTExP8zu/8EY8+/gy//D88wO6dmxhoJCQeWKWZ5eBbx3joO49j85y9V+3g2qvuYdnoYGFK/PgHbuH3J8/w3//4i/zKL/0MKyYGl0gZIHvJ+NAgR860eOXoHI1EMddOee3NKXZvcww3xIfyJ0EeOgcXZtq8/MphtIpw1nDq5BkeffQx1q9fzVVXbfeOx/Tarip+PM6VIejO+bw7GdgMbGbJ0y7kOS6TD11Ye8bnDru0j81lnJY9k+McaGV9FGWZHKw0V8iiDs5qsvlbzy5UGBLnmRwqbEgYbIXYl11fWnDlj1WKIldqZW4U0V9qMYgKz9ifDyeAySorEx6meNRgmvPPV71y/7V6Llh5puDA6ZwljhPGx5dx4sRJOp0OzWaTzEr+guHRMa7efwMrVq1HaU2zOcC6tauwzrGw0OL4yVMcP3GSRx57gq9+45sMDw+Bc6TdFKUMJkrotDPm52dBwfDgEKOjowwMNBkYHAQn9WkcMDM3z/ETx3j26WmmZ+cxJqbRGCSpNVizdgPjE8sZW7aMgcEag4N1EiMFII2BF58/zO//wYPkmeXGGw9w003XsHr1MpJIU4skB5J40VtfdsRx7OQ5Dh0+xeNPvsjDjz/D/mv38PEP387q5SM+Adh77celKaXYsmUrq9eu4fix4xw/eoxNWzd/78L6YjLpRzwZut2MbpqTF0qZLkEL8lmREdl55ceBColPAZwBF3wTrffZ8VmJQ8o3VxZhtk6yYutcfGysN4svFUUHYk6fGB/nl37xU8Rxne9893F+7/c/y//z//EbrFu74vveKJWS5KY3HdjPxvUb+MM/eZD/9Nv/jbfevItPfPynGB0ZfEebsHOOlw6e5It/9TCtVsqJ40f41Cc/zEc/8H4GG/VLXlspxfKJZbz/nnv5wz/6AjY33HrzVcSRLswb3W6Xdpoyv5Bx+uwFTp+Z5sjR45w+fZZumjM7u8DM9CTOWTrdDgonzujWsTC/QK1mOHH8BP/u3/8+QyNjxFHkE0TWmZ2b5c033mDfNXv4x7/xS6wcH+yTVYpmLeaBj9zP//5P/zP/y//6z7nttuv5uY/fxeqJoUXmrWOnZvmzzz/Cl7/5ODPzLTpZxoUL5/nuo0/zwbuu4+P3HWBipNm7/xT/k7nU6aR00ow4MjTqSZHe5N3VHK++eZozZ6exwR09zzh8+BDffeQRNmxYw/DwALl3YHauzOdVMDx+H3XOR8pnkHUdaduSpimdTpss6+BcSgjDcR4x9cYvLt0u67QsC9mRCTrwmk0v4Am2XUmjTpFLx1MoBShyFqk4rIJAEDOKGKIquXIqAKXQnHCLUok7F+pdhe5mUcKZah6S4piKIbEnLJNAo8mzK/IyEZaqIJol+qg698QZ2fX0k7WWa/ddS6fT5dvf/jbXX38948tXsmLVOq676TbqA2V+nSKUWCmGBgfYuX0rO7Zt4fabb2RufoHpmRnOnDlLt5tSS+qMjY2ybNmohDkaTZLEXiPqXRTOryLrk0d1ujmtVpdjJ07z5ptvcers2xw9/BpTM/O0Ox3WrtvA2Ng4Y2OjzM7N8p1vP0FnocOv/vIvcMN1G4lqmgXJRUWnK9EmDid+QB2piFwfWcHuq0bZum0zTz1/mL/84t/y7HOv8+v/4AEOXL2ByLzrVu177RJt2fgyVq5ayVOHj/L224fZtHXzFZ3nnNQYay0sMDc7T56VtnalqPiFaPJQS8wXGk2SuDD9msiIqagie5QK5m6+J9DUanVpd3O/eUieMQlBD8kAhaEJIfPluhaQIulifISUczgntalEBPvsqqpU0jQ+LDizKGNR2hCIi/50GtWmlGJwcJCf/+QDXJha4IknnuVPPvN5/qf/66cZGGi8o41PK8WalRP8o//pV/nSXz/EH/zhZzh99gK//IufYN2aie8L9DjnOHV+gT/87Fc5eXKSyCg+dP9dfOT+ey4Ldsrn0tx6w14OHZrkn/2r3+NDH7yfbdtWc+zkOY6fOMOpUyeYm58j7XaJEzEfDQ0NMDIyxMSyQTasW8byiWsYXzZGHEcMDQ7QbNRIEmGvut2Mufkuh4+d5MEvfJVnn32ZbrfDxPgYcaKZnpniyaee4o8+O8ptt+xn+5b1NJsJtbgst7R82TB3330H/9v/+1/w4iuvc+TEKX76Q3dgM0eeOVauGOXU6Ske/PxXOHriFKvWrOamzbs5cfICf/O3J/jOdx7lheee49VX3+JTn7iPa3asJvEToptZTk8ucPr0FC++dJxXX32LbrfL8HCdW2++iltu2MFQM3lXgR7r4LEnXqPdzUBlWLpgU+bmWjzz7FNcddUebrrpgLidBL3ClgmB/XKR9Cnepz/tOrodS7fdZWF+jnZnnjRtk1sJm1dWiJVQ3Pxy3XFpp2V/kbB5y3OpHrtf2OwFsbmCnqoCisLsFWzcPY8VYF3vPZdufRbP4OhcgCPK6sR9bE8PiOoRlr1RXYFNcs6i0UUhR1fh4cpnLBmc8B7OhRTegHK94eoODhw4wEsvvcRzL7zEp37xeq6/7U6S2qUdMZW/Z62WUKsljC8bZcumDZc8Z8nreMrKGIUxCfUajAw1WLVihAPX7sA5R7ubcf78FEeOn+LQkeM89/yznDx5lrn5Ni7LIc34ywc/w7OPrmfrjs1s2bGVgcFB0hTOnz/L5NQUmXMonWCiiBwwJiaJE8bHl/P+e+/nm1/7Fv/kn/0un/zEfXzovgMMD37/4aLvtR9t01pz1dVX8/Zbhzl16kyRGfxizVnH3OysOOofPUproUXeTZdkY9PU0m53yfOyPl0xL7x5IE4SEp8MzkRGSrDEpqzp50NmHZJDCKV8rpWIfnF48uQpXG5RcZlRXooG295/zpFlZcLG4Jcoa1172SdgKC9C2m0hM+XZtPjJoSCXDTFTkGowaHKraLXTQgEI7LOIIwF1URzzvjvu4KUXDvLC8y/x5S8/xD333IrWxsspg8VKRFlu6XSCTxJ0OxlZZsmtI04S4ihieLjGQFPyp9TimI9/+G5WrVzBv/63/5GjR4/za7/6i+y/ZqdPQHdl88M5aKc5D37pIV547mUMObfcuI+f/5kPMdRsXHKdh3deaGWcPD3Js8++zquvvM6Z06f5r7/ze+ActXrCHe+7lZtv2MuaNeMsXzbE+PgYjUaDRqMEJFcSXeqcY/uWVRx84y0Ov/0GjYkxfuM3/gG7t6/j7LlJXnzlLb71zYf567/5OssmJphYsYJP/fxHuHHvJuJIk+eOtWvWMDo6QWpTnn7+FV545TU0Bmcdq1atYN/+q7nvp97H6lWjbFi/kvHhJgutjP37ruKP//hLnD51ir/5ykO88cbb3H/PHezYsonJyRnePnKKt48eZ3p6mqwre0qcRFyYhJMnj/Pmm4f4xEfvZMXE0LtGdp6favPc8wdxLgPXAVIcOd28w+G3D/G3f/s3rF+3jlWrVsma8Hl/yvjIgiPBOkhTR6fjSDuSSb6btsnzLo4c53Ks80qTAqdsr/vLRZpyl4gP/fwf/ifAMx6hsC1l9uQqWNA4v7D9g1dYD0lnnXsKy6AiwyKQowB6a2nJdapEVX/FKHB5GdpddNhFLHkFqAnP3A96KneSzukrMkcvgAlslzxztR5YELz0gB3QWOuo1Rps3bWXrbuvJorffZu94FZHljsW2h1efu1tfvu3f4flY+Ps2r6eqQtnOXr0BKfPTNPuWBoDQ+zavYv9111Nq9NmbqHDzGyHZ555iZOnz6CNZnRkhC3btrNy+Rpsrnntldc5fPgQe6/eya9++sOsWjlAFBmS2FCL3/Pxebc25xzdbsrs9CxRHDEyevEoGmctR94+zKE33qLdahUh0nmWF+xnAAvOQZbldNNu4W/mgmnIs6tZJhEa4Jlf5yhkgl/P1gcKhFxAWZaJY77T9Dv4zc7P0cnaQodbi80l/0wIgc/zHGeFWs9DYWPnyG1eAByc9gqhzz/kRPrYIsuaAB5jIoyO0CbG+DwyURQTx4ZmLWHlyglfkkDqEua5p+otgC5ka5bmXDh/jiRSaKMYHRnBRDXaWYaJIoyJsDYTP6M0J9YxtXpdfDAxxLUaOF8OyEAUKUZGhti+fS2rVi4jigyvvH6Ef/4v/z1Tk1P8o//5f+R9t+33OXouPz+sdXzz0Vf5j7/9e5DDxLIh/vH//Cvs2r724vPEyTifOz/L48+8zLe+9Rgnjp7EKHwNqkGGhod55ZWXOXb8GB/60H18+n/4COvWrLxo0sXLNecck9PzfP5L3+DlgwfZuWs7r7z6CmNjw/zapz/FyvFRstxxbmqB//w7f85//Z0/oDE8zOYtW3nfnTezetU4Z85MY1ydZ599me8+9ijrNqymOVAjzaRkg9JwzTW7+NjHfopd21czmGjx83GOuY7lS199hd/93c+gXEYtMsQmohbXcVZjXYqJLCbSqMASOogjg1YWoyy7d23mkw/cz/q1yxdlrf5RN+fgu08c5n/73/8Leb4ALOBo4+igyEjzDqOjI3ziZ3+OD3zgPmpJDZtDtdSJ8xjD5pA5R5o5KXfTadFtd2m3F2i358myjCzLaLXbpHkudbooEcWvfeyuiz7nJQHPX/zBbxWsjfOpEK2zBbKq5p7RHmpAaZbyt/DnlT47Ajh6wyi94ak4XzpRrlkeVqmeG67rq6qXxxMI5eLvUF9FKQlfd1A4Ji/SJKvNlUVIl3JaLuCVUwULZq2PSPOh8I4grxVpN2dkdIwbbruTsZUXFwDvpuac4+yFSf6P/9+/4OceeIDbbr4O5yyt1hynT5/mpRdf5NVXD7Jm9UbWrF/PzHyLzGm+/LcP8eZbx0AZsDlplpGmliRpML5sFRMTq5meXuD4iVPs3r2bj//Mh1izfoJOt8uysZjhZkQSQ7OmSCKuCL2/1949zTnH2VOnefG5F3A2F8d358Sk3eMDQ8GYWJuT2ZTcSz7ndBH9lOPPLW6Q+xpduqcYcAF4CtnglRErUVXVdn7yAjPzczinyJ34CORpL+CxuZhmMy9nrAsMT8Vfp6dsh6+eTSiarDE6wigx12lj0LEhimu+GnaNZrPOxg3rsbkkRjTebxLl84oF65hW6FiCO4ySytxGa6wypCoGfDJWDWgpExCrmCiO0MEkqITtKmVs7rXmlDVrVrH36u0MDTU4duIcv/nv/xsvvfQS//DXfpkP3HcHjfqlnZmdc7x55Bz/5v/8fZIo57ZbbiJPF/joT99LvRYveXyWO06emuTb332GR7/7GNiM7Tu2sGvXVrZt2cjwyDCRiTh7ZprX33idBx98kKPHjrJm7Uruu+9ubrzhejZuWEfklej+x6taAMKW6Jxjdr7Nk0+/zPkLU+zYs401q5dz4tRJ/tNv/xfGlk3wwfs+yJo163FWc/D1I/yzf/qvOD81w7Lly6k1mwJidQSZJk1TnnnuabK8y/YdWxkdGwNlMZ6t27hxI7/4Cw+wduUIF87PcOzkWV5+9RgH3zjGubNnqUUG7TKUKoOEStXdgvKlM5SRgqVaoZxcf82qVXz0w3ez75rtPnP1pdflD6vl1vEffvcb/NFnvooycyg3i7MpIc+/czkox/YdO/jlX/k0O3bsRiHgJjyzteW/zDrx02ovkHW7dH2y0W637dNCpHTTLpn15Wz8HquAf/D9Ap4Hf/8/eC3HikOfAys5QBcxI5qSMdG6gD6UqcNLwGMDkxNo5ACWVAkwggCpIvgQKh5MZNgyIVn1Nazzvtuut6Cc1hrnr2cuUrSt57MiDbu/SPh4kblO3rXKWlUZJxBAtHzFam68/W6aw6M/FmAntMmpaf75v/lNHvjoRzmwf2/pk+WNsN1ul3NnTvHGm4fIneGzf/4F3nj9KMbUxXwpse84lFD3nZTZ2Ra5NVhrcC5h3/U38bM//3E2bFxOvRmjtJhDIuOox4qRQUUzlt/1e87O7/qWZRlPPfY4abtdpGZQzonDr/XFSP2xBTNqc3I8S2Kt95sJgKhXhpTLR/cwvNXr5R6kCNgJhUlLk9HJ06e5MD3to7R8Zfo09zl1hCXK0gyL5JkSptoK26Ok/IGAIPndOcislTT54JU6LckEkUKSVuEBjzA8tVqDgYEhduzYRhQpEg3Gl0sFMIQyD5K1GCM1rxSSzFUDmdJkOgGlfb4vBVgiFCaAoJAhF18iqHRQ8AIyQ2toNgY4cN3VjAw3OHt+mv/0n/+Qxx97jJ/9xMf4xM98iIGBpX1wAoj4rd/+DM+98Dy//mufZv3aCc6eOc3NNx7oVW6dI01zDh87zUPffZpHH3mCoYEmt99yPbfdeoBly4Y8gKnuBeJzde7cOQ4dOszJkydI05S169ayetUqNm3eSKMvk7JzjjSz5FYVfmFxpEmznMmplgBpm9PJ21g6xFHM4SPHefBzXyAyNT72sQeo15rkuebZZ57nP/zH38LEMRMrV5EkNQE8VmPznHPnT3P06BGsy1m5aiWjYyMMDg34HEqGoeFhms0mk5MXSDMLxCidSEAIDuVypFK87ZVtKsx3D56NZLQ2WqPRRMaQJJqP/vR93H7LtdSS6Ee+tzhgcrrDP/pff4e3jxzBqSlcPitAXVmUy8DJelTG8MGf+ik++amfZWhomDQNGbtlLGzY03NL2u3SarVJux3SNKXdadNNO1gryklmczJrySt11gXw3HnRZ72kD0/mM426wKfRZwVXrvCQVugy+VXYkAIbUxkApcCgCg2IquBSAWD0l6gIyFwuWjpE9wKdnkEIwrHiDB0irvr9dpa+QM+LFh/0C9Ysy3BW+dxDVbNWeDeFU4ZNW7ez74bbSOrNHyuwAzDQbLJh/UYee+J5BgdH2Lh+DXFsvAajiaOIkaFB1q9Zw8uvvcmJI0fotubQqg2+oJ8xkt7foVCuS6RCLRdNZhOefPwRDh0+xO49e7h67x72X7eDFSuHUcagYphuw2wbxgZhtExJ9F57l7Y8y+l2u5Kt1fkUB+WSEOo6KC+loJANGXA+j5fCoZ0uQE8FJQkopqydVV2botSII3QwNwPYXK6vjTg/t1otlJZ8KWmW9Zi1gkkstzlZJn9bZ4XtcaWvj38cD5CEYqeQZYYoSgqn6hxH5pP5KaWpJU1WrjKYqMbgYA1luxiygt8v4ZnCGZGxcnnJrqWQ5KGxryejdUicqqTOGFJaR772BTm1lItQlIENyoOkufkZTp0+y/DwBpaPj/D/+l9+nS98YR1f+9rXiLXlvvvvYWJi6TpShw4dweZtPvTBu7nxwB7m5+cYaKxfcn5Mz8xw4cI5Nq4d56pf+QQ7tm/xkWGL2fbgwzQwUKPZXMuGDWtYOm/a4qa89u0wktPFQhRrxscHSFPH7FyHTqstqTucZtOmTfzcz/0cf/Inn+WLX/w8H/zAh6nXB6jXI7TJabdbTF1wDI+MUEvqaGKcU0yMj1KvG2ZmpklqhlpiSCIjoEgpWguzpJ0FNIrEgCWjiAgs9ldb7qkFWycmLfFPKwu8OgRMZIDtZnzpb7/O+ekZfureWxlq1n60e4xzPPfyCU6cOA8qR5GCN1M7511BnADOtJvyyCOPsPuqXdx8881+/fiEwrlkPLdZjkszsm4Xm8o/l2c4K0yRsKs5wfqjioKnfdv2Eu2KSkuIfTBUpAqhlqW2BSGSIRSf6++PKkigmNQhW2ewjWtVlooI51XNVdV/xXJVZTLD8pl8VmdXPn/hJ9QHdC5qV8ZVbP7lfUOrloUIA1at/i7F8izGRFyz/wZ27NmHNj969P2DaHEccetNN/Ev/+Vv8cQjz7FqzSpWr17BvXffzrbt60jiiFptmIGBjDWr1nDLzTdw6I23aNSbDA0NU2/UmZ6c5sixY5y7MEXWbWPzDI0jNkYSEpoOWWuSV154kpefe4ovfW6Y0fFxdu7ayu23H2DnzgmWjUqirk4mpS9+DLvy70VzzrEwu4B2BkXm6975+nuBpS3MwcHJt2R8q4yuU7L3qyALFMVmZwuh6k1MsEj29LJBeKVEoSJDlmekWYpS4mwsJiypJJ1nOXmekWUpaZ6RpgJ4cmvppimA9w8S+dTDKOFZKeskuadSReHUhdYCnW7Xv6NBE9NovMzUhfPc+/67GR8bJFJOqsG7YMILypoGrUvgoqQWV6HU6VBt3INJT+QYDxi0Ci4FFHXCQp8obRBfIcfhoydYt24lg806zUaNTzzwIe64/XoAnwB16bZrx2a2bdlArSbRos36smIce8dEFZmQv9emPGK+IjmqQmZ4cYLN8+CDBZGBWk1j4jpRDWbmBdQ6l7Jq1Soe+JlP8PnPf5GHH36YG264kQuT50i7bbTWdLst5mYdtjlArdbA6AgHDA41GB5uEieRD2NXKCS1i1Ygzrx+LJGkleJwK+beAsKG+Y8jhPiE8fYvJudqyXfnlGah0+Wh7z7O5NQFfubD72fF+KgnIn74Lc0c3374edqdGbRZwLm2mLP8grTeNKeURseas2fP8Y2vf4stm7cyOjbimVPn6+Fl2DQn76ZkqfyT0i6pxKi7XK7oAU9QCgJIvNy8uCTgKRNbleaaMr+gKm5Y7dUCkFzqxn0oXmtdJADsp6d7/YH67uN/FuaqIBSdk2zMlN8Vda70YsDTD5aASrh7KLBXifJypSmt+jzF8/q/a/UmN956J2s2bHuXZqS9sqaUYs3qFYyNDHPw1Tc4f+4sTz+R8vh3HueD97+fu+65mdVrVjA2vpxO6ti9axcb16zG+mgbExm02sTevbs4fvIkL738GocPH6PVScnyHFQXHUc0Gl1qtYQszVmYOcXZU4d59aXnePKxJ1i+fIIbDlzLPfdcx/q1o0wMv+fT825uZ0+fJdYREk0RtBzn2R2f+9uJBq5sUbZc1mz4zfmfulzneOXIBj+fws9BNntnS1nVi36qn0lV7iztCs2uxEcntwJ4sgBu8pxut0M3S8VhOhNftG6a9jC54VhrbQGCws/cWrp5RqeT0k1TsizzppUYrWOcysnjhMkLF3js0Ue54/abWDkxhvPJQnMrgFB5k5aEzQcA02uyDyY0Ufh0ATDlb3+MlkLIRaSqB1MhyEJrTavdZX6hzWCzjlKQJDHr1q295HiXUaQ/wEn0DltgEyOAGLoKP44ARnzKABMZjElI0w55JmaltWvW8dGPfIwvfemvefzxp0iShGXj42Q2F9+rJMZECq0d2gQAGvZMKyA9VMZ0gJI8TgHUy6Mpr7i74lhdmb7CJeQFOyh4R5JiKhVy6eben0jSHTz1zItMTU3xyQd+mk1rVxZlmX6Y7cz5OZ559gWsbWGZx9murGnnPLiWVapcBkpKD7326qs8/fRT3H7HLaDE8T/PBNy4TGrXhULD1kqplgodJiA2DyyoJMjtV26WalcUlu5hqDgTVltQE5xoE1aJJkYF8CztDFxlhygZm6CtETSbXts9UDJALjgx+lw8FTNVYFkC0AkLvZ/dqX5fBWryU967uLV3oBQBXjopqpBRulKn3DrFyOgE1996OxMr13Kx4p8/Tm1sdJh777uDw2+/SWt+gUhFTE1e4I//+LM8+sgj3H3vHWzdvonXDx5kdnqSJNJFiREFWJuRxJqtmzeyacMG3j5ylOdffJkTJ0/T7qRY1abd6lKvKSbGx5kyliS2JPUBYtPl7Omj/O3fHMeonF/4xXuLvAvvtXdnW1hYIKRUVT6PlpiglDD3iHMvVNd0Jfu5QuQI5foPAEPjk5I5YTg0pcIiOcD8Qzhv6irYpJKRtnlKlnUJztK5r58lG2JWFCTtdrt00i7dbiY+PhVwUwU8wbwtFdy7Ygrzx2cuL5yeA7vtfDCuVoZGLcYomDw/yde//i22bNrAzh3bGR4ZJolUBfQ4FLlExHrpLlXWRb4ppUHpghXqkcFBHiqF097JkwCSytI/xmhqSY1z56ZYMT7yY8lIL2oe9LgIrNWkaU63m/u6f4okihlsDOPyFu08xVlot1OcNaxetZYnnnyKZrPB8okJMptLGgYVIg01qlLOoNfnVJIdOqd8/EsBXfy26cfOz2nlx0MXu5/nd1SVQAhKN36vk/vImjE4DK+/eZT/+vuf5aMfej8HrtlNdJEs1T+I5pzjuRcOcfr0aRwCTnAO7fBsjKgw2od5K+XAWaYmL/Ctb32TzVvXsXbtuqJAr8slQ3Zu/T5LCHAQ5+diSFVF4fVMltEGc5nqoZc1aYWXgt6aTGXzjIgTh8RQY/NiLE8QWOgwWCUrVDkKVDAjUZqWCiHo6VoNzinvNOjLXSBCLwgB57nc4F8Unj8KQKgPmPVEl0HB7ATK2gm/Xp7jAnqVe1in2LRlG3uvu4nm0E+IwEA2pbvvupXWwhxf/vLXOH70uGgYSnH0+FEef/wJjh0/QqNZo5FEkojShNTxyo+z2HS1UWzevIG169dy+PARXn71VY6fPE03TZmbPc2KiSE2rB/j+IlTaN2FLENlOTmGkeGYRl3155d8r72LWtrpMj8/j8F5B1sPeLxpwRaUfW8r1pMHQK7yuQQwlAEQirJ+n3M+aYT1dHMAPYUMcT6yNGjXUr7Aep8BiRbKvNC1BVjpdrv+M4kKybJM/HycmL2sD08Pv2dZTppmnpovTWCZZ7lc0Eb9u2vniLSmXkuKd2vPp7x+8DDHj55ky+bN7N69k4HBQXLExwG6PgWIB2+hXwqzvXfOLhgfH5Fa/C2AB58bKGSAln6WvtFaM3lhiixbRxxf0Rbxrm5eJ/eBNSCZ5+VDZ0BpybN04fw8Bw++xetvvMnhI8c4d/48WZZK0efZebQy1HyRZeliLclwvZk2KNkgc1YYpBBxGLb+0gATwI5Cl6lSvIIYTClalVHKgfnsXTkC2HtcN4zh7NlJPveFr9Dq5Ny0fzf1H5Izs3Nw4cIceZZiVRenUoyzvuxDMEEFVkoV76VwvPH6Qb773e/ywQ9+gCROxJSc55Kt36akNiV3mQ9yKlNZlOPq2UllRLk2hiS5NMV4hZmWRVDpYqQXf1/+XiZ9Wsrk47yapW3AMaUdHkLVdTxzI8n/VLhtAFMVwBGirSQawxXmsqDx+MsVx4efF3NadsV/gfXxCcXyIpsgVWteiCyTMHjF9p1XsffAzcTJj9hx7IfclIJms84DD3yEffv38pdf+iu+/a3vEMcJ+67dx7KxEZRyRLHXGINDKWEAVDEW3gODOFLs3LGNTZs3cOz4cV574y2OHz/FW2+8Ak6T1BpERvJapFmOjmo8/dTjjIwYDuzbwYrlY9Rqkc/w/V7k1rulTU/N4HKLiXoTEirAKI1SofZUWG8FGUS5+fYGLiz1t7IlAMqdxerSXBCUJTlPHHjLAAyIoxp55orNSABKVoCWTqdThsBmGXneLRyXpT5eLsxQ5bzM+/3keVZEm5TmN6+9+03OIJE2zUaDxkBTnt8JO5x2LXN5m5dfPsjJk2fYsWs7m7duIUkSXK5RNpUILW8i1AV4EaUrFFEu1pwq2QOlNVZX5WO/iR/AkVvH2fPTrFk1/kOYIX83zSC+O22bMzPV5vSZ8xw5doJjJ05x9NhxTp08xbkLU+TOejOXZPb2brWeQQtKsOrxgwqRy2KSCsYq+UYp5R30bWlnc8EdREBqeW0PbFQZYl7+rKRyUVXiQVgTUfrDeYrJqRn+4gt/w7Hjp/nQfbcxNnTpxI/fS3MO8txy5Nh5tLI0ajA1N4c2Oc5lKOcBj488k9fVfh4qYmNwNuOxhx9mz47tbN2+HYukvMnynMxm5C6Xz4K7C2CVK6KwxYHfoE2MiiUbe2wuXdvviuB78GcRW3z/i5fdXpiGLvJ9yeR4+3LvkSVz4kdTV4p39oIWV84CkPwDrvd6ulzyxdnOSSeVtrSeN+l9Byc5N0IuDkFSAX0HoSv9YR2YKGHvtQfYcdWPr3Py5VqIfNm2dTO/+qu/zJrVa7hw4QL1JMHlKUqB0aFYYhATpjJlwvh6cIvC5h0iDRvXr2Lj+nXMzi7w7DPP8faRY6QdS7s9z9DwCLfefgdj4xO8/fYRPv/g5/nC5xwrVy1n/br1bNu2iRXLx6nX62htqNUTBgZqRFFMs5GgtUSUGaEblgBGVQ33vfZOmnOSPyM2kdSKsqroWB9sIiasUk+W9aYpEo/1t+pydTaAH4AywMF7rRSMbM/6U87LBwM4X8wX5hZaIkitxeYZWdYly1NvmuqK/07a9eaovHBqzvKcLEv9v9LfpwhccMF5WZQk5Sw4g8KhlfgXRkZTq9VoNBqilSpN5s16whYrwDA9M88LL77CiVOn2bZtC5s3rsdmCsg8mHEoZcqcYrqaZbjYcoVR0lq+116W+aLAPvRnEeM9PT3D6pVLR2T92DXnOHN+gW8//BLPPPMip0+e5tyFCyy0W+hIIrgENCYS6WZC9J+X8V5eKYKFwds7lCoknApe4pX9BvAsmzc3BvDuE9Q6h/edCmq9q5RJ8PtcAXKk1pvCB8bgij1Jh0SXHliElbSw0OKRR5+k1W7x0x98H6uWvXOrQwj3P3H8PG+/dZyhZo0bDuzhq9/4GuJMLOYnpXNfmkXeRhXFv51fF45zZ87w9a99lYnxZTQHh0SZKCKxnE/46V1IFD79QwCXGkWMieton8zTmHdg0ioTalUGT165zwRVNqmFcXFzVjWUs6DwPIjp0TTo1zwqjsVUhKjvv2otmos9Wzi+d1oSLGXyfMGnPGhoPmwupK53TuFyj/K97XRgaJSbbr+bFavWgVI/GQLiIs05x7lzF3js0cc5ffo0tSQRM5UO+UGqDFt101GIv5PfBLySE2ha2fosy8aGueeeO8XO3nHMzbXZsHEje/fuZdnyMZzKOXXqDEePHub1197k2NFjvPTCc3Q6HbLckeUWYzSNRp04jmk2BhkYHGJwcICBgTomMkTGYHRMvd5gsDnEilXj7Ny1nkZNMt8qxU/0GP6wW2uuJXR/QeGXrC0gc8GJqUXWqo/8LMhAR2nvL7YBuZIJebhUNTWWRMHgcFb5zMou0ImFUg3Q6XQ5f/4Cg0Oj5FmGzTKy3IpJy2YCePJu+S/rkAa/Hc/upGlON8vI85QsrUZr+ozyeFMGDkmDb8FZlI5l89OGKDLUajXqjQa1pIaOIhyKECvRtRIenyhNp5Nz6uQ5JiencdaxdfNG8rR0lDWV2mJOLWawZUOsRqqWKUSCOWyp81qtDlluiaOLlw75cWgOSHP4zIMP8aW/+mrF/cFBFGNVmF+BdZRIIO0N5yXwoFCYtFLgSmdwoMc8KPp3CepVkZsO8tybV4sM2qLsV/2Lq7st/h7+SiifeqDIrhxcPkL2ckoXgnC/p556itGRGg986D7MO5Btzjm6meXkmQtMTk2By3B5iz07t/D6ay9x5MghYXV8tsxAZDmlMX4xKw3kIcIw56UXXuDFXbu5/sYbxXycZ6JgOIt1mR+ZkI5GzjNKo7VBmwQdx5g4QZsIHS1OcFltVwh4hMITZBsGsbcVPjDSKxV0W9HvXRnZEBZbcDAuJuBS+ndlIQZBFp5AhFnv5hr8bQp7KkG7XGKgC2nonaCdJbM5eV6+g2hE/tmsQvvaQZlNWbVmPdfd/D6GR8d/ojdJof0tR44c4+HvfJeZmRnqSY0okvxDkRLBoLUuHMSDhAhOk9I7pjLEFXYQAIvLu4jzvaLZbDA6OsbgQAPIGGhqdGQYGVrPzu3ruOeuW+l2U+bm5sTfwjrarQ6zs3PMzs7inGNycobJ6Wlmpme4cOFU4ViadSVL7txsi4VWi8HhIZaNjbL36l1cu283G9avoV6XxfOTPK4/6JalGZPnLhS+O7JmNY68ENoF0sWDmirDVgUpjgoTXGrNPSxvodyU2nRIWin3Kc1g1qacOXsKrSOyvFuanHKfVNA7TKZZSpp2BOxk8neYNyE3T+pZn1A3L/ho2B4/Ax8uX3xmPNjR1GoJSZJQS2rESYJTEhbun1YqSueS4NBqS6ITslxz8OBbjAwNs3L5OM52i7w7ZRSX3KknizxhLJCwdn1xwCN9qFBKEjEutNoMD/745Q7rb5MzbV58+Q3a3ZQoNhg/r5zKPagOc8wWvhsOV2TM96FwlbJEfm9wod9sScT4nQxVzfwdrihNayoFnlWhKPb7kAorGPY3VawXVfkMgpKvCS4WwZwr8hkWFuZZWJj9vvvPeQtKJ3ecn15genqaTqeFdSmZbVOvK665eifnTh6h3VoAo/w7Q4441+cOUYSd9JH2c641t8CjD3+XdWvXMTYxgU0zMV+FVBOIE7S1oQ9AwKKRCOAowsQRxkhW8Uu1ywKeUCFYI7Zf7aDXa3zpDaGfVq6CHSmq6QevqBMigrHfiXjJ5yomaIVN8ANc5MFxUp1Zax8thNCBodhhqTWqIuoqd15b81legye4UsHhUCZUp5sxNTXFzj27uPGO99McuHg9oZ+E5pxjenqGp596ltdeO4jWQsebilOk0TFK2SrO8W0pxstnnKgcE/R4UBgt17RktNqzzMxMcu78ac6f38T2ndsYHGoWESWNRo1G4+KOaoXTqq2yklLINs8dnXaH85MXePPNQ5w7e54nn3yCr37ta+zcuYvrrtvPjTdcTbOZUC6099qlWtZNSbsdkjgGV/rq9OhIqhSg1Q+19uu3IthxrqKxlr48LqzbyhVcD/jxK7wid06ePIlSmnq9Tpp26LRbKKuEfbGB1bWkWbcIic3SlDSA5ArgyQtmKmxvIWozzLkyA7w8t8+SGxtqtTrN5gCDA0M0mgNEJsbpGKm2XiqNFujmPo+sMiituTA1x2OPP8fNNx5g1coxlMpk3eFKWRj0Dd9CokIxeenCrK8roEf0wd45nqOYnW0xPNh85xPj77I5ODc5w6kzZ8gsaOswRpR3RSY4gVLpCsqZUiFkXJegsucfRZAOnssMcs8grAYupBbwc9WH/mtvEtN9flQSsRiu5/NtB581pfze2/Nq/v9SWsMWlAqkWYdOt8X8/CTQYsvmdd9XzS3nxKTX6jgmZxaYnZkh7XRI0zbWdlFYIGPTxjVs3rKWF198QfIDWe1zbPnEo+Ri1nI+LxcC0g1w7Mgxnn78Ke56/z1oJYV/lXNoWxYdx+/hotQYMPJPG4nOirxZ61Ltinx4FD7k3DqsRkLPqbA6wUQBPYNunRdeZdcBTnxuKvxdjyZSsD2qh+ypJiAM2gxKsjYXjs4Vp8ZyoytD1ClkaAnGquGlJfskNnbJ4+NntNN0uxmH3jrM7NwCt91+B3fc+0HqjSY9D/qT1Bxkec7hw0d49JHHOHfuPEmSFOH8OoS0mqAhlrmPSpCzlIN4AB9VbTgIW7+hKS2O8gZULSJNW7z00kscevsYq1evYtv2jUwsX1bQ+Rdr4d4XS4PUbCaMLRti29aNWOv48Ifv4+Drb/C1r32DP/2zz/DII49y/313cfXV26nXL72Y/r435xzt+Ra1pEYwRxWZA30LpEyvNttL1lQ14RCeXnxXmLWD4BfTsnLCjwixU2VV5PgQaj46OoZzkGYpedbFOuM1KOdL1WQVZ2QPbiqAx/r8OMEBtQQ7BKqnuGexcSlFFEUkcY1GfYBmc5CBgWEGBoZJkgbKFxW1FvIAEv02EsqytFyXLHc0aglzrQ6PPf401+3fy+aNq3GqC2Q9uUh6NtHKGix8GCtgpxpZFPoUFMoqJi9Ms2rFWFHq4cepucpvb7x1nPMXzpI7R5pL/mmjLSqypSkpsChOIn8U4hmmgvk0FIMO+w3VZCRhF9DFPcXn0QgzlOd+Qsh+6Kz37dLCWvf3/aJ3qSgITgWn6FAQV+xE1kKadpmZnmV6epp2ZwFHF6Xa7Nq5kT3bd3zfW1XHuxeknQ4ulzXhfJqF2CiyFJJEs+eq3bx9+BDz8ws45SOTVLAM4Q158rfM7wylNO12h2effZadu3axes0askzMfsWywkdcq0iirpVGmagAO1rHRFENE70DwFMIF10FIKU5qldoic3aqlKYibZWSRjmN0elq/3uK/fqMIQBILly7F0AVp5Z9I532qetD8+6lMmsZ1HrMingUucUmpiWiSSiS9gerSNeffUFbK74xV/+VfZcu8+jyZ9MsBNYnSefeJo33niTPM+p1WpEUSRhrqgiNFarimu5KsvIau8YWQDaijquggSRuxEGWzZDYdKCIFI4Yh0RxwqbpRx++zDHjh5j5coVbN+5lRUrx73vzTsbC60Vo6PD3HD9Pq7Zu4c33niTb37ru/zu7/53brnlRu6//x4mJn5yUg38MNr5s+eKEiuygqzXpHv7rN/PruonuFR0Z/X3Yq2G8jRliFcBQAIjFIDPmTNniCLJgOus5IVyTmpnWafAp623mQQp5NYWEVtdb9IKYehFJKf1+XD6fQYdlIVKFVpHNOqDDAwMUqs3GRoaZWh4GcbUiJIGKkpwOhKfQCegLWj2QWt3WV6AKq2FsX7ssacZaNzCqtVj3pTmio1TeRZeU67BsFk7Hy2mK6at8rxyvRqjcDan1eowOPiDi/D5UbQwIjmSCfjFl16n0+liYo3Nu2RW9qLYxN6h2DMOFZZL8E9pMsTP6cI02zOni0w6hRk2+AQZrVFG+XnRD/adZ0J1cU9RFkoIVU4vrwhYhTYRzmnIHe12i8npaaanZ0h9rSnrLErlaJ0RRxk3Xr+fkaHhRevwsn3ohGHpttuk7Xlstwt5jlHyxoaQ9kB+rlm9mj179vDEE0/4tCW6Ivc9Y6VsZX0IG6qV4uTpkzzxxOPc/4EPoozGx3eFjFWgjDjdG40xsc+7k2CiGlFSI07qRPE78OHBU7QBlWqlC6RWtREHx97+8wQ45J6WDinOS+dWuY4qkjWF5Fe9jyA4uqAYg0avKGd15Vj8ccb72QSwE0URzlPm4ZmrTFD1XB0Aj+cgcwdp6pib7/Czv/BLXHP9jX7gfnwEwJW24Ktz9OhxHnv0cU6dOkWtViuZHQ9uPH4scnyEVuBTVfoFFHpNGLY+c2d5byrCJAgGijmhEJt77CN6Tp08y9kz5xkbG2Pb9s2sXD1Oo1F7x9lFxexR46qr9rBlyxYef/wZvvCFv+bY0VP83M99lE2b1y6ap+81aa2FlqwlbyauCu6yuaVOlW8uA3aqTG/1ev1gqZfllaSA9Xq9uLW1jk6ngyLGoiTHTWbFnyd35Jktc/L4moJFq4AcV8jIpd/JGEOj0WBocIQ4rtMcGGVkdDm1epPI1DBxHXREBqCsaPuebSqe3/elzcQfBAw4jarHPPn089xz9y0MDCfkWad4vPBPKwW66oiv/NoN0VryT6kgh3upUGthamqOwcHGRcfs3daqKrgFpue6HHrrGEYbNBZlU6ztkuUQR4NoFSEJBAsXexASzPdhNQGmjI0SL/lyZi8SBwES6QLECIBYSu5ZPzYhiqt6FVXcO3CWeW7ptNoszLWYmZllYWGBNM/8vhhIBlAqB9ehXtNct+9ajP7eWbrMQbeb0um2xHylxHxllABiYzSRUURaYbVGxTFXX3UVhw4d4uSps+Lv6lnawgxU5XCDo7V3M3nxlZfYsWc3GzZtwipPviqfWsJjBKVjcVY2McrE6DjBxAkmidHRpTO0XYFJKyRDCinLgzNXaSZSgXYutyqCY6HzBtJ+QKErldH7adXQ+rVAYWJDTa+AN3qzJFdtoSFHT6G9eJuh8/epRoyFe4fPCZQhYlppDg+xc+9e2qnY5qtRYT8pzTnHzMwczzz9LAcPvk63K6UeIp+TIggEo7yfjS41yt4V7wGKqvzs2S+WQKvV84oHWoxrQyoApawvDGg5f/4Cp0+dZWhokM3b1rN+4xpGRgZ75sP33uS9Go06t99+E2vWrOIzn3mQf/eb/4Ff/dVPs3fvzp6squ81yDopaceXa8AL3mDuucJW1X4v9nv4W1ppAnCFUO0FStaWjG9gcRUaYyKyTELUQ1ZkkLpX7XZXKqTn1SjVIKSrxhL5OwR2OK/chbmXJAlDQyPUa3Vq9UGGR0Z9fqmEKKqhTIRTBmXFfK6VBmtRkfhylAlPJYI0t4pumuPcAooG8ewCzz73ErfdfsDXwypq/yC1CqNSVlVZnGp6Dv8dyifAI8h0caxtt9tY7/fy49KKncg5jh4/x7FjJzFKg00lR4xNya2j017A1eqYOBaztweFvcu6lEIhRDoU6NbqYsxyJWO/Dz/UQfnrOz6YPhc9v5/PTimyLKPdaTPfWmBmdo5Op0uWltYMlPNkRDW7eY61KSuXr2Hzxs3fc/+VykKX3Ha9AS+X1AoRRJEiz50vsaGITIR1KWOjo+zft58LX/sGWe6Ka5WuJ/5nYLMQnx2UZnp6mqeefpKx8WU0hodK5O4Uyhi0jjEmwUQJOorRUYxJakS1GlFNY+JLz9FLl5YIJiFV8f4uvy3tin7DK0RQxaRUhIhWzlaqz26sK6xN5RpBswkAEUoND10BVf7LUMogXFd+L2ntqs9IAE9BCFZZnkCFW+tQ2rB99x52Xr2P02fO8Kef+zzLV6/mqt27hMH6CWjBrHf48DGeePxJzp07i1LKV0Q3HqBSCEuJGuiNRukBOaqcOxdrvRsWBKESxrnMiQ2l6QuZ+MqCSnE6FwDmxOeq3ZnixReneP31g6xes5Kdu7YzMjJyWT+fSzXxvzBs376Zf/gPf5nPfvZz/NZv/Vd+5mc+zj333EIUmZ9Eou97bw5mpqZJ07SovB1SEPSD24vhnwCcLwV0quvVn1U5XxX+hVAxfSmE4fW/2zxHK8OqVauZvDDNfLtTRHWmacrk5CRpKtE7eR58apawXIUPlkB0xkjY+dDQEM3GAHHSpN4YxCQxJpbwWW1icVLz2qsvTCP1/hBzk9MOpSSZoQAvTW5zSB3tbpdBV+fU6bOcOH6aDRtXk+cdlLLeTSBCa9GcA4tTdLQqAU8AZyECKey/so8aut2cdrvLwED9IiP37myBrXnrzSPMTE/6HSrDuRRrpWhslonybXqi1sLZ5XXkl2r2qOAbtfS9naezXXG2P0OV5xSyTvXO4fAzt5aFhQXmWgvMzs3Sabd9xu4A4n2pkML4A8HR2Sif39g4brzhABNjE9+bDHRh6Uo+KeUZr8xHsSldMjzGaOI4wtpMalgaw/ZtW3n11Vd5+/AxQhLfgBkC01hMsoALnERKHjx4UFKR7N+HjiJCsJDSEcrEGCNrJ4oTTFynVqtjYk1UU5et5XYZhsdrQ8HhF3k+0d16c/FUh1UFh9bClm6Lc6smLPlMBQAndyyu6etoBF8eBBnmuSs6rPD3oLcuVvH0fcK2h4MqKaLiGlXgk3Yz4qTGtdffxrrN2zGRYf36Ddx7/3385d9+hdnZOa6/bh9JHP9Ya/nOOVqtNs88/TwvvviiJI2LIw90eiMSAvitpjuHcqOS31UlLP3S95V+rwIfu8Rplcnh/5T4BYsqtFkp4GeMwWLIsy6H3jrEoUNvs2HDBjZt3sTKlcuJY4lk+H6GSynFypXL+fSnf4E//MM/57OfeZAsTbn3vttJfkhp238sWlibOObn5nHkmKI2loMeYBzOCWCmKvTLr/rXcAA91Z/hu7KVm3mV2VMhQRyUEZo2x1pHs9GkM5CBiTw7BM460ZxDVF+pxUGfzAufB1NFsRl6ZmdwcJB6rY4xEXEsWqiJYpxWOG2khIYyxTsrFDaUC1IhZNl5VwJT+A5Za8Fa0hRm5+bI8oinn32RVatWEScJSuXlGuxbm+F9Qs6jcn0Lm11lV6Uv5a3a7S7N5o9f9vhu6njllTfJs5TIKJzr4lyKc5mkJLCBXXA0dEPSA6gilSBABQCWfoXyUZhz/fwMBOXaFUf6PYuQmgG/t7nKtSxZmpF2U9rtNu12m9n5OdI86wP5FMldiz0LGyLnxcdFObTKGRpocNP1N2L0pX1bqs3De2F30hSXW++2IG+p8TXDjMj6EH1YRMLm0Gw2uf76A5w+fYaFVkfAe//aUUUcGsENW1mYn53npRdfZPPWLYyOj4tZz0QSfm4iSTKYJLKmkoQ40cQ1Rb0Ol6uEcmmnZStaj/KdqgM67VkVZUIgnJOFFCir4r1KG7IxAQz1ahdUNLlqlIUAKFUgzqrpavE/eaYgSEM4uVzTFZpOuC6FXTRgdrlOluWMjS9n/013MDqxuljkWiv27tpFI6nzzW89xMkTp7n/3rsYGhr8sRMEQUs4deo0jz36OCdOnPSsTowxxpsDpfOCg3IYf90PcAqBSSFke6jbYp5XNeVKDopivBYzZiH/U+UTKJxgg324/E4pi4nEXGGd4uiRoxw7eoJl4xNs3LiBDRtXU6/XejStK21KKUZHh/iVX/4k9Xqdz/7pg8wvLPCxj91PksR/f5keLx9aC/M+74cPJb2ILatkbcr0BL3BD5cHPb3NM7lWlSYHfw2thaUZGxvlxImTDA4OFtes1Ws0GnWfUb0BCmLPBMl1IADxHsWpygZXNkXnJA9VkiQ0Gk20MkRRjSRpkNTqGO93gIrFb0SFKBs5V2oJhbxkEuESmO5MSnwT/KIcUkA1c5bMaU6cusA3vvkod7zvJkaGB8lzX9HdUayXIOXKBI/leHjRWYCg4IcHYHTM9PQCo6OD73qzVikKRN5PTs7x2msHhTlzFue6WJtKQjsnJhprc/J5qcY9MDAgjt6BqS4sENqDjNIPtIhI9Yinv2fKeWgokkpW5JWYLB1ZltJJu7S6HdqtBalLlUlNqSzPirkVrlmsF+XnabBi+M+V0360M7Zs3sGunVd9z/1oHT7LcY7GYhREWqK0nS6JC6Ml+34UaawVi451Dq0dG9avY8eO7TzzzPOlRuPnVdirA2YIuoXCgLUcP3qCt986xL6xcWHoY4OJhd2JoogoiSUMPYlIapDUoR7BZSxalzFpUbIzYaSc740K9q2oaaWgsn154suIKVOgxYIV6g3bQvkCeMFXRoEv7yDgRxuNNkbYp2p9kR4zyBLaWHF9L0gIzst4CtjgrGLt2nXsveFW6kvk19Fas2PrZtasWsHXv/Ed/st/+X0+8pEPsXXrph8bR1bnHO12h+efe5Hnn3+BTqdT+DxVK5wrKJJD9Tg5Qu/Y0Zu4TD4vwU5vr9jKecXRPdp+tS0JJAtmKICsQOgGTcEWc1EnImymJqc4f3aSl158la1bNrNm3QomJkbR32MlYaUUg0NNfuEXfoYoivj857+AMYoPf/jen/yw9aWWk19yabdLa37Bp3ZPUb6ulVrixOCAeDH2Jvzez+b0MzxLgZ/qn9Xjms0mjUaD6elpBgaGCnDfqNfpdFLiOCLPE8kc7jPtej6FXrnS38I9Sman2WxSq9VJkiZJ0iSuNYiTBlGUYJQh0gatDNpJUcXcgs18/aBcKB5ttEST5b5qtMsra8oWGnOeWyAiShKOnTjD17/5MPfddxfNRg1n0/LZyzToyIrw/y2hLAbGvdijfAbhi4jTd00TfOrIHMy3UyanFjhy9CwXzp/B2i6Qg8uwLsPazJdMsihlSTNFlmYkcUxzIC6U49JyUMqJgjUMDvl+7F35FITkPlYJQlDerKO1Jsu7dLtd2u028wvzdNNU0hF4RdHZXNCsK82p5X4WmEfryzaI2VjjC/W6HJuntLspKybG+MhPf5ixke8lKa7zOMSCy5HcasKmG+WIDB7YSL+YKMLkFmOsmLgi0LnwWPV6zL591/DGG28yN7dQzCNBEiHQKWjH4gOHB5HdTofnnn2ebTt2MToxAZHUNYsiybUTwE6tBrWaolGDhnqHgKfQZILgMhTozDlJ0IcHJlRD122pYYWfpU+NXKNIMAYSCtCXl6df2/dBg+WG7I9RqqTKLgZwHJA7V2gv4bOC1bE+kRmKLdt3sePq/US1+pKTRPnnHxwY4IMfuIfHxkZ58HNf5O677mT//qu8T8e7E/gEX50zp8/yxBNPcuTIsSKCTRC7xhgfdeU8ilelY16pFZbFIAItGQwH5auXY1GBtvKX6p0fxXFL9FuPWaH3aH9OuJP33aqYMV0liZgxwlA6m/Pyy6/y8isHWbVqOVu2bmLNmgni78EsJRtojU9+8iNkeYsvfemLDAzUue++O4vowJ+o5vp+79cvHGTdjDzNMZHX8JQS3r1gSsom/VzNq1W9iVesXDiu4telqkEFJcgoHk0FUNR7v5DMbeXKlbz55ptoJX4tWiufCDAmzdOiMnZVTihX0u5BGAdloLyXKhSGZrNJlNQwSY2k0SCuC+AxcQ0dJRJdoqJCUVAOnE94WCR6dQ6xbTmfpTcPKwdcYDcV2sj6yy2+fp/j+MnzfPvhx7jn7veRxDVym2J0cIgunzvI436WPPRzUHSqKUFmZzuMji4tF/8uW2BAMgftNGN2ZoHp6XlmZxdIO22u2rODb3/7IbI8RZGSW8mgndvcZ+T24+gULstYvX4dSa2O9lWySpMjJTvhmYmwOVZgicdCCqUNymkym5OmKbOzs3TTDp1OmyxNy/lcKTsh5Yok/YHygKzqPiK3tGgkjYL4yVmUs+S5OGSPjQ6w96r93HvP+3n/nfeW++4V92eOdXkB9kMx6OD2pb0PrtbG107M/T/xd3QuwjlLp5syMT7GVXt28tijj4MyKJ9R3HeT9FiF9Qrgx+aW48eO88xTT3HPBz9IHEuBUBNHmCQmTmLiRJNUwE5dXT4K67KAx1rbU2AuuG0VNJurHItDWVVJt1226t/V2jOFySmjSOxU5NiBYCkT2502FRZFJK+rTrienuu5eU+ocpGrx2pfRVmR1JvsvPoaNu7Yg9amunMv2ZRSJHHCrTffwIqJCb7ylW9w7twF7rzzZprNd6FQcI5Op8tzzz7H88+/SLvdqTA63mSlPUPiJbrRqkhaViz0AMj9JqBRpfbYk0jQN0Vlw6DIiB1Yncs1VaKs8CaVn67/wLBe/K39HPO0s2gYGbVEk1s4dfIUJ0+eYnRklO07trBq9QRDw1eWRl8pRaNR41Of+gTdbos//dM/Z2JiOQcOXF0C/5+0VgE41Q+dhtb8HNpIBnVCZlSf3mExNeDAaUJWWzE/qGK8IPgoCBukdShg7Ar5IHKhlBHW+tuhcLav850qEgauWL6cU6fOkNSbnoqPqNcT0lwSE8ZJLKxypd5fdVoXsEyVGnsIwqjVapg4IU7q1OsD1BsD1GuDxLWG1PkxEmGidEwoIxFkbJbnpFkuJgxlvf+c9T2SF30R1qfSvQAwzy0YjTYRb799jGeee54brr/OJ2ITTR3KMgX9SmNgdqTvdeUd5f0tllarzejou8NxOYyDdZDjaKc5rVaXbjcl7aTYzGIzYSluuukAx46/zcHXXka5DGslG3ink8q8wVsNtGFhYY7zZ8+wctVadBx5X0+ZYBaETakACEcwyVTYScQM2ZpvszDfYm5uTrJ2Z1KvLXBBxkQeIIToLXyiyaAQVhgd5z1QrUW5DFRK1fl6dGSI9evXc+01u9m1cwc7d+xk7doNxLWoABbqCoRSL0sVALJeAhxrjDLkKi++M0b5dRgisaVY7jXX7OX119/g/PnzMut1VLD0QaENjGPps+vIul2ef+45rtq/n227J8hNjIkF7EQ1QxxDrQaJhkRBDeFkLtUuXVoiyB/t0MqSI05FJc2mw5AXizeAoDApQmdUC4b2sCxFyn8lvj9a9cjIkJJdeZNTSXHnXhhUta8lZCtBYzEVm7xoVQKONYNDI1x7822MrVxFtQDc5ZpSEEWGnTu3Mjw0xOc//9f8yYmTfPRjP8XExOi7BvQ457hwfpKHH36Ew4ffRilDHJuCrtUBaCpfgVZ7x7QK3V3VpkNeJAIlXgGeS96/stgKmrxSk63sJ7XoPKguv1LD6W/Ka9qqZwL4RGFOEdKSi4CymGLjVMzPz/HE48+Q1Gps3LiWLVs3MLZs+LJh50opBppNfukXP8X8fJsH//xLrJhYyfqNy69IuPxYtZ5udb2fK8fczLQwCc6Wb66WDsPFJ/MMC33R+FICClnTYRyqEZdytNbhccqQcIjK3DVWIlgkWSbUkjrLJ1ZwYXoa5xxRpIniiFqtTprmDAwMksQxnW632MS00uTBpOQEQONcsREYE0ldrHqTOKlTazSp1weoJU3iuE5kamiTgI5wOiJ3mjzkH7GQWStVojOJxsq9KSE8m89N64G01PIzUn+lYB7EX0f8N6xSPPvs80RxxPXX70ehZVxcjkIV6z2E52uE0fG7Wy/bY0rWp9vNSFNLkvzds5jOQeqQHGkZtNuObseSdnNcLn5HeZbTbrWYvHCWyFis65KnEpHX7WRkmZc/WuRDyBkzMzNDEtdZNrESHRtcLikB5GDpj2oeb2vFx8rmljRLmZ+fZ36+RbslKRoKZ3MX0gvKnhfHzlesNxW5JmyNvzK43PvQAtaSZx1c3iEyKWPDDbZu3crVe/ewY+d2hgabDA8PMjw0wsrla9AqxjrNlbtdVYBVWJV94FqU38XAWWstoNEqVC7gR75zjI2McsOBA3zlq1+Vvd6KouOKgIagIHrCwvk5bS2nT53mqcefYP3GLQyMDaKThCSJiBJIYkVsIEH+yUq5dLsiwKOcxTqFdgpbbFjFLx50+If34MX6l6rWtgrnVcPHKzoToIoQQYoNNthRDUU0FfS+mnMX3V6C415/KKuzknF12cQK9t10G4PLvv/in0opVq9ZwS/8wgN8+Svf5I8/8yAf/chPsWH96r9Tvx7nHGma8dJLr/DkE0/RarUwxkdgGScMTgF2dJEZuQp2wvv1+FYEmKmq4PdiD+HB0kW+7jUx9l7L72M9nxemjsqmW712leOrWtWD2aR4dn+kPJvFaEOWdzn42hu8+cbbTCwfZ+fOrSxfMUq9cfHoFKUUw8PDPPDAx/jNf/ef+dIX/5r/y69/6pL1vX6sWpXVCYxuH96x1tFaaBcDofpGYXEr51UVrCy6dmB/UYjZwRafBzATct8o5bA2pJ9XYMtr2sLJXeZ4HEcMNJvMLyz4kNqEmoVOp0MtET+ebpr2PYcHXOENCoFviOOYWq1OPamR1JvU6gPUEsm1E3J5GR2BichRRWixcw6bSWROlnbJ0y7OSgFTtCQY1Fr7vFdew9YiHwPjbSLtM4Y4rBOZFmlDbh3PPPcCo8vG2L5tq1SqJkM7AX+qYHO1B/8UgKcKUsuE0fJLq9Uljv9uGOwgv62FdjdnodNlYb7L7OwCc3NztFttZmdmmJme5vzZs5y7cJ6Tp05y4uRxZmeniLQjc2KuEZNIqUBXWRutFdPT08RRneHRUfEX9f6LyivkFleUH2m12nQ7HTqdDgsLC2R5Tp5Lpm6bS6bxACOUK9Os5LmwjvV6ncgoSp8dcaZ2ykcqW/HLsXnG8PAAu7btYPeOTVy9ezujo0MoozCRIYkNy0ZHGRkZx0QJcZQQq6g0h15Rs0UBXC8hCWx8UH61Ehwge4fz1gGFtoGYKE28UeTIM8X27dt48eUXOXHilB/HkgARHsL595U5KWya+AI//eRTrFu/iTvv/ymGGjV0DDpSxBHUlLA7VwJ24Ap9eKyVhIO2Utm4CmCqf6OUL6yHIKZKYr9qgsHi/OK0Pluy72CtDcZERceU5QKFhnXh+j3O1dJbMqmCHdzfzw+gUTGbdu5g+zXXkdTfeTVgpRQjo0N8/OM/xbceeoTP/NnnuOO2W7n+wF7iH7FfT+jbM2fO8sTjT3Ho0NsEJ80y34QrIq+0MqV9lkvzW6UgrGjdl6BLSze13vOXfO5FN1vq/uWXxUgX5JLzAltT+joEujTAZJnDTpWO9/JNThRJFKHNLWdOn+LE8WMMD4+wcdM6Nm1ez+jYsL9/rzlOKcWmjeu55547+bM/+xw33bKf6w7sfdcwfFfc3CV+t17LrJixwwCk3Q6ddode/2/P2i7ZB96cRaAVAoAObIX4ASn/hyuv1vNwkudLmBZrrWfsymRsQpeHZ9CENAZaKWpxTFar0U1TokRTV5o8d6S5ZWBggJnZOTyiL1hM2xdmE3Lt1Gp1krhOvd4grjVI4rpkgdUG55P5BXO9shL9Yr3pIu126XQ6dLtdbJYKiCPHOfHtwOVoHZUAS6kC7CijxTfRWUkIay3GSAi7NsLIfOc7j7JsdBlr16yEHLSTEGwRsX4ea1UkHMSPQzE0BQsrjtQLC22Gh380Zq3AyOfWMTfb5ey5Kc6cmeTMmbOcO3ee2flZZmdm6HY64jDrfca63TZZlpLlGRNjQ6xbcy2jo8PUmnUOHznCl7/yVRYW2lJqxPsnBgBdsluWyalzpGnKwNAgtVoN58sdZNZKuRGbA5puNyfPHGkO6BiXObFAOPG/Cu4ehYLlEDYodWRZhzzrMjTYxERK2BgnNd0cOZGB8eVjbN2yga1bt7B7926WDQ+gbBftMlCWOIoZHBxkbGyEwcER4qiBUjFG16FSrOnKWshPLQqjUpXlXswbiuz6SoVSD96RWRl/npM8UL4m5eDwMDfffBuf/+IXSLveRFtRmINJuwgW8Pt/bAzzs9N88fOfZ76dcdf9H2DNuhU06xGxhhqKUODpUipWaJfNtBzCIsVicWVd18/oVH+GiRWyIFc7TimhxVDBFNZrxuq5d/UPV1X4PeVo8WGeOcGbXnk2SqmIHVdfw7a9+6/IX+dKm1KKJIm5+65bmVg+wd/87dc4deYs9959G0OD7xxUXUlzXoi+/MrLPPvMCywstKTmiNEF4BQNT3LehHEAihpZMhYluO19ySAol/iuH7F4oekoFwhcGvQsDXKWOr7ceAN7A2ALetj11O4K9EGhsEKBtsW64hN4OXHKS7QiMjGd9gIvv/gKr77yOitWTLBj5w5WrByjVo+p+uoYY7jjjpt47tln+epXvsaePTtoNN8d/g5X1EJfVZiWYk0VgMdT3hW2VGvN/PScmFgqURbOVaNaescvsHTOeaXFSToBkfUh4i8AdydmSgWlazyULFHQCsXMoiq+FKVPRVUcyr2NDx9HK1w3w1oYGGiC1ixbNs6Jk6cLekMpQzBhKX++0ppaXWr4mKhGXGuS1AeJkyZRXBMn4uCroEJdQQtofAAbuRWWIE19IdMsBW+qVyrCx/iijCuAelAAjZHq6U7hY8qsX7vaz2XJOTV5YZaHH36MTzzwURKTgO34MQqLpwIoPTumhFArcY9f885askyUyCj64coy5xytbs7hI+c4+NphDr99lKnJC2RZlzhSNBoRAwNNJjasYmhogMGBAer1GoMDA8W61lqRpl06qTgJd7MOq1ctx9qML3/5a7S7XSJT1kPsnTcAjlZ7jizrYJIEogg86MnxEcQqlj0kgsg5Ml/zTMyTOc56lkZ5p15tyLKMTrvl+1HjbIYxjnotIjKKWi1i9ZpV7N6zg2uvuZqNG9YzMFAnz1Lve5oTKUOzFjPQbFCv1Wk0GyRJjcjUgRhJ2WGWEqeVPi5/71cklZ9TRa6zSpMp7dBGoa3/ZxQ6D5G+ltz/bp0Antxa1q/fyNYt23nt4MGC7XIoP1zBZFslJsSErZRmdnqKL/3F53j51YPc9r472bV7F+vXrWRsKCH1prMsE+C5ZuTi7PqVFQ91SnxelLdfV19elZtf/74k9Fd/kdFedihsnsF5TnsBARQ+FIXGdrHnBEKWiZKVCmUjdHFubh1RkrB773Vs3nnVDxTsVFsURVy7dzdjY8N89evf4Q/+5HPc//472bJ5Xc/G/4Nu4qtzjiefeJy33jqEUjGRNlApFihAEl9Q0FUWdyngtHagtDgsLuEUVR3z8uZLYBUHrnB2vxhQChM8vMMS97rIsl2qK4V5Fk0Pt0Syq777ljd1ft55TUOHjVoo2ixLOXniBMeOnGBkdJQdu7awZu0Kz/rIg4yODnPHHbfx2c/8Gc8+8yI333rgx4PlqZisxI0g2JJcwURICLREtZRBB4BSzM7MYLSq+lte8XuXyoxn5XrG21PfSjZb2YnL8GwLwVPZF95U3iQrQlbmgQe1FabIOSlyLA6jllTnxJEmA2pJwsTEBBXZC4jPQhD9QtVHxJFUaI6TOkldAE8U11A6LpQ10bCNz0sUfBcE2OU2J/f+O1mekWdd8bVRyven1PiyRmO0IjLi01O4BIiALUsKhMK9DnKrUFZjc8MrL7/BM5te4Ibrr8GYGIXknBEWtHQTKORxz/jovs8VnU5OdJmaRd9vc05YtjcOn+Kxx1/h1MnjaJUxNjrEtZu3snrlckaHh1k2NiRO4kaTZzl5nmJzK+HenTbdbldyF/mM+Vjnk01G3HTDfqanJ/n2tx/G5g5jxIncv3Gx4aMsSjmsy7FpF2tziIRZc0oRKR+l5ATQKGdpuzZ51vLmSb/XaYdRjiSOSOIYiMm6HVoLsyhq5FrRac0TmTp333kP77vzdjZuWsXgYENYolwqk9eSOnEcE2tDPY4ZqNdo+MSWSkX4Up70JnRduo+7meXshTkmp2dZOTHC+Oigj0syaOVwdDHYEvj2KRFiJSiDXYxWWKPIc19mosjLY8mtuEo0BwbYv/86jhw5SqvVwgalxvXKi6CwiqYsY6GVI+u2efHZpzl48A3GJ1axZesuVixfRWQSrLXMzMzSbrf4r//0f7zou18W8AhYEOdPG1YTiwVaqaldHNxUfxa+PSrkeCnDzavnCsLr6YqKMupzdVS0zmDfV576DZYui6LeaHDg5jtYvmb9D70WltaKjevX8skHfprvPPIkn/3Tv+Cmm6/nlhuvo1FPfuAbYZqmHDz4Bo89+l067QXiuIYiKjXfRYAn5NwosyYL3VoWqQuVpZUHEcKKIBC/D34WDHhfCzXY5PCljiqTulW/7fcfWqotBjMhnNYFUqI896LAx7944AFUEXDv6dYcDMTaYCzYyDE/P8tTTzzF888mrFy9gt17djIxMUYUG647cC1//Vdf5lvf+jZ7r93D4GDz4vf9UbUlX92VP6zD5YA3/zqbY8mL6J+wDq21vtK4LUCPtTkL83OEhHiyXdhAoV2i26tAWwWsWQDjggXy41LUwaqwPNVZEfwKijo94S6erbAesFj/e/CVUEqEtTMKZSVMfcWK5USRkeRvuawHHXyFjPY+OzXimlQ7r9UGadQGSeIGRDEKUTKUD38P2XWLkGUnyleWW4kOyzOyTHw0QsJBlUtW3yzTxEZDJBGVSRR59kgHdC/KS2C2nUXinB1YyDJHp5Xyt1/+KqtWT7Bty3oPTDMU4pdZ+Gm4EHAZ/CoqfKjyx6DodFKazR98dnHnHBem23z7ked5/c03GR6uceD6XWzduJYVE8to1mugxQyUtrtkaaeoJwVOSm6oHGPAmCA74sJcb11K3kmpxYabrt/P9NQkzzz7gme8pYSBDoWqC1OQKM14mSnpWLwFwlrIOliVUq/FrFuznJUrdmNMwkPf+C5vv32MpFYniqTYZS2JqNUSGo06I8MjnDh6jFarI5DY+2rt37ePGw5cj6WFtR2UNmiVEJmYWi0hiWvEOiLRMZEKmeM9MlgkW/uZVcdCO+PZVw7x8hvHOXXqPN1Om2VjQ1y9azP7r97K2HBT+kw5rLZFRYIS9PSCnxBRLQ7LPuAlRGkZA7kisx3OT04yPTlFluaMjI2y0G4TZG7VghN8nUAVe07g4TWWWEfYbovJc6d4K3ccP3wUo325iWAhukS7tNOylaRXJgw48vJBS6qyL1qzaAEE5zyNoOGqD48fAUrRFIBRL7sOuRd+5We9zoxi9xMhHMLcg9OUIPE0zVm2YiV7r7+J4WUrfmRat1KKoaEB7r/3DjZtXM9f/vVXePmlV/nA/e9n6+Z1Uvn9Hd7DOcfU1AxPP/0cr7zyCoqcJK6J/dTnPSgmaAA7ANrbq+mdyKHzdQjbKHP7le8lL9f/JIs21lIz1IvX4hKtB+X3MIcXYXiWuKhoB7ag4ksmYqkjZXsN4aaV7dabSWQBamW9+cVnF418RlFrOXHsJEfePsb4+AQ7dm1h+Ypx9u/fxxe/+CVefP4Vbrrlur87lsf1/S48st8MXemXk1tc7tePzYVxsKlfa7lfV9abiR02zwtfmVarJcxEUbgQLjfYPQpMhRFyruJQrsL4VABOQC8+iqUEP6JFK6xUsqhkL6ZyK8IcV2EDtKCsaKlOssNqB8vGx1m1ciWnTpwkrzA9RmuiJCFJvEOoqRHpGrWkQRI3MLqGUhGukowTJMNueBvrbJFROc0ysiyTvCs4YWqcxSlF7nI0huDDVLy/3xwF8FDWvwqlLXz4tLVIpt4MrNNcuDDLn3zmz/j0pz/Jxg2ryfKwsasCnxbqpHLCkhV95QfMs7WdTo61Aip+EM05WUuHjpzlWw89S6vd4uYD+7h27yYGmvUigCIAxsjEuDj3JjZbUbal2Klsa44sK31zZO8RQ02adTCRYu/Vu3n70CGmpmaIkwZKeQVR+X7we4srku8JUyEyMSdLM1y3xe237+fDH7yfq3ddzfDQMM7BF/Zdwz/5J/+OCxemiU0kTtKxIUkkcd6yZUPcctPNTE1O89C3voXNu3Q7XQ4ePMjdd9/J2OgouIzIGIyOMMpglPEwTBVLrI92uGgf57nj7WPn+JuvP84bR08TN8fopo7J89O8dew03370STasWcEdt+zn1uuvZmJ8WNhDm3pG0KNGJf53VQVa/llfVyvCRgqLhtzx9tFDPPn0k5w/d56smzE30yJzrpChruJriZe8ZW6uMEHCq1kiMSZSi6BRgyiSUjZirCkZ3Yu1y0RpSRijtULxAyinWKoEgLUSilaAkcC+qGCu6rWPFtodzgvVcJ6qyLhgffebTyVtvLTSB0AWjReCSkmVYyummdUbNrH3hlupNX40fjTVppQiMobdO7ewfOLn+duvfJM/+MPPcv31+7n7zlsYHGh8X8/kvL34zUNHePTRJ5idmRWnZJUUpsCwQSs/UVWQagqR4j1+Ol4ka1UIvkIgVt6lhxnofdPFGOgivI8KAqXnuEuAnCXnsFp06eJNVGAIyqR2PZdw8t69WCgg6jDfAlPp/K3EZCD7QY7yoZnOaKLIMDU9ybcf+i5xHOEcjI6M8u2HvsO1+666ZJTXD6254mX6/jmczSSxneyv2DzzYEcYntzm5HnXp5Z3RY0c5xR5JmAHxLEyzzqEyuhhs3Qu9H/xIPQOVmVeqNLXqhg3f0zIB+yK6n0Uc1Y+K+dKYIyrwKbw31FhLpTrotRaBego6yOVrPgmbNmymRPHjlPWAVTEkURkmUj+RSYmiROSpE4U1zGmhtMivEKt+KoAdkhkTuqjd7IsJ///s/ffUZYcV5on+DNz96dC64iM1FprgQQSCS1IAAQVCIKa1VWtp6Z3ZnfOzlk5K/rs9M6pnq7qqulmdbGqWNQaWqsEkMhMpNZaax063nvuZvuHmbn7exGRmQBBEqxtIxMR4c+fu7m5ic++e+93VYhWoVVFjqzfhHtaHTMuzmQR+zoKz7Dj1rTlVOOVA3tKx07YodIo4XHs+Cn+7u+/z7e+9VXGd3eaqBghjCq2Vc93goMCw75rYcCkAXAmKq4URhRLIYX8rednGrObak3/UJltu46wZ/deWhtbueeupUya0DJCFsL5eEgCshkP3ysb514bFu6ippw+Era9o8iYDMNIUy4rSqUQpRSdnW3cf//dvPXG2/T0DVj/RtOeJlzcuAIQz0vmWqqsUJg8U5O6O3jyiS+ydP4CfBnE88YXHn0YKQL+P//zn9Pb14/vBYmJ0zrZDwwMsHr1aqZPm8r+fXvZs2cX7767ntW33cYj999lgF7V0BnLvH+jEkaKTVsO8NyL6yhGklD47Nu7jzNnz1IcHgDKyChk//59vLVuHYvmzeSzjz3I6lWLaagrmD4thekjQiOk3XBoZ5mJjE+ZFihfoIm4ev0S77z3Hvv272fCxG5WrXqAQr6G06fOsWHDB5w6dQ6BwBMeaGlTUtlRL5zPsGPXBMTMmybwfGrzWQIJngxNnVQ68evY5Sa5tMAxOkorG+fgqOBqe56LmEjvroRlGhzCMTsRYd+iYxjMTlIlXvKOqrU6EfHcrTVKh/F3k3rImAJ3t4oUICSz5i9k6uwFSP/3m+RTCEFrSyNPfP4R9uw/wutvrOPQoWM8+un7mDF9clz3mxVtG+P69V42fbCNo8dPEkaaIJvDF6ZDIJx+SAJ4HI6MN88QsyCp7b+dbJP/jvIkUI3A3RXSO3dInZNM+gloqkQxFYvRRywJfEv6WByp487RCQXuqFMdV9Y5+VkWJO31LJyt3nxu/OCtz4QHQgp8P0MYGkZzzerbKJaK7N6xn+mzplDfUBtrPH083XAUIKFTv8Q0qbLUglNG1/HvKlb3NSyqVpYhcMciFevZGDBkfGm0Dk3+oTAEFSJl0qYVt9bVfSDxqUoAZQKiHTsbP5f7XMvUM6WfO1FrJj5a2YeMPpQ1+6SAkBTOeEE8JtyYUcDUaVPZ8sFmBgcHcKG2fsY3IcAuNNwP8DM5vCCH9DNWUM3NZ5XaVAZrKpQ24nNhGBGGJaKoFIMdk9JC2+c15hljerZbDwvgDBDxLLvjfGysv4ll4yIbGl0mJNSKqFwm0pLDx07zve/9mK999SkmTbKyGVphQtadsroJpddCoOLJwoZj23FVChV5rX+j8aq05uLVQdat38G58+dYumAmSxfOopC/0Vxtx4+QeMI4jKMVflikXC5TKpfMGqWiOP00UuAFAb7W5BH4mSz1DY1EYYm2lhYK2RzPPf8CxaLx5dJCgk3/gZXqMDo6EWFYplw2/b9cKtHWOodyqUhvXw/NDa22qcwm97Ofvo9iUfG//NlfMlwKyQU+wi65URRx7do1duzYwV1r1/LoI5/mnXfW8drrr/LmW2+xbOE8ujvafrP5UJuIwPc37eNXT78CwiNfX09jQyM79u9nYKCHTCAhMoA7ikL6h8us37SZ/Qf2s2j+LB759AMsX7aY+kIB6XsINWRMeSpCCGe+8gxA8T0IFUeOHuH1N95EepLPfv4xurs7KRZLhGFEviZPV3c369dvYvvWnYRl4j5shrcaEbmtZeUYzwQ+2Uxgo4xtwINw/kS/gUnLLa5RpHAOyxaimMXF7cYR4Bt+05hCzI7QCAa6HcnoC1rCCBEPVilBeNI4z6YmwYpEabhrYxAhtlGERGnwgiwLl93GuEnTEwe/33MRQpDNZliycDYTujtZ984H/PRnz3LPvXdw24rFcXuNVYzjqOLY8dNs2LiZ6z29+L5PJvDtTlDjWSAo7aBz7a5kstDEjIad3NI4xe2q473EKPUZtYoxqLUXiku1l/8oDE6qfUZ8NgZFqcdopmqQFgPweG2Tseq20om/TkXdLM3g/OZcUKkjEHCLtfMVAnxpdr+Bb4C/jhS5bMD+ffs5dOgwnZ0djOvuZNLkCeQK2THb4NaKHuN3W2LF0ATguNw8aGOSUhbMKCtj73SpDMNjEi0KK4KmY6bHhNNqyoaV1SZ0Nr5X1RuIzRDptr3JI1eocotUwIIFTwkrN3YQw1hlTJMpAuOgilVZ1tQWCrS0NDM0NIiURtJB+FaVWPp4QY5MrgY/kzfZ1oVvBQlF3G+Sm9nFJ4ose2ZMWWFYRoUlw7jZ3EVaaxupqmI/O7OBcSHCwrZ4Mp6x9zU+V4btThgPI2YYWs0iT2Y5fuwMv/71szzxxONMHD8ufk9uA4Bwb9GraGUthBX29BgaDqmryXwIUbvKEkaKY6cv89a7W/B9jwfuXc2MSR34N5kD043qTtNIvCCDNWqaTPRYU6JnksHmLNNTLpdNVFwUUi4VKZeGWb58GVEY8fqbb1EqRXaRFTEWN33FAH2hS2jrIC1VyMnjRzl/5gzd7a001jVWSAgEvscXH3+At9dt4vW31oEnCTImqXEYKoaKRa5eu8ru3buZP2823/zaEyxfOp+f/uJX/OAnv+BPvvU1muo/WmJqt56+v+kA3/vBL8nkfNrbG7hj7VKKOuCXTz+LLg3arE4hno5MH7SK3Neu9/DGW++xY8dObr99FY88/BALF8wlm60BKaxwptkYer5xnRgaGGDd22+xY9cu5s6bx+Ili8nkAjOGhM33BdTWFrht9SqKxZCd2/dYbGFnCDcni3gbZJ8oceYvFLJxRBvS9QMzB40dpGLKLYWlm8tpmzKCNDUQfxa5KArS6r1eHAYtR82EncwMCh0/ZaQshe12g4k+pf1esitMFkmjXqpCRU1dA0tuW0NrRzejmd9+38WxPY89eh9dXZ28+tprXLp0mQfvWztmWgqtNdeu9rBr1z72HzpMqRwS+J4VDzRqmkLEZnaby8htXaXduRntE8MCmV2zILUQiESBwXW+0eo+moB3jNArzsNOQR+ubaqOuP+PcvIY16j6wA2g6j+E0IxYNi3T4epiNDQsBNRVl9BG1E6mjmmBWQSkSf4opGFHz5w+xYnjR9m9o5aJkycyacpEmlua8INgjOe+lZIGEzr55/x0NFibFU61NRb9EspqZFkgJNyUEVkZCqcQaxNpxr4k5juGKVOxeQsco2PaKtlpub6SCI0qG3o96hONMWGN2Ci5Ct9KK6UZIMviaDsnSQtw3OZJujEkBJMnT+Hs2bMmCsZFRtlw80wmT5DJITwbAmygNIb1M+2fEFiGIQvLJUpRmXIptAtvERGVDOOmE0dwLaNkDo19kxN3ACzTbsxOpjWciB0kchxRFBkFYF2O2SNt39POHbsZHhrgK099ienTJhuWMnLh6lbLChPua/c/yQZIm1QYpbIil7lVgJK8i3I5Yuvuo2zbtZeJk7pYtWQezfU1HzmC1QBhDy+Q5PyAjFLovKYQmnQOBghGFmSGlEolyqUipdIww0MeJb/IXXetZWi4yPvrN1COzGZd2T4mLPsmdIiMQnwifKnJ1OYQKmLXjm3MmT6ZoaE+amqaKvpbuRwyffo0zlw4z7Hjx2zodGQc0sshpXKZK1cus3nzFiY//hC3LV1Ia3MTf/233+fXz73Cl7/wKPls9iPs1zV7Dpzh73/waxQRk6d2c999tzNp4hT+6js/4fqlC/hSICnjSWtWjRI3Bm3CVLlytZfnXniFTRu3ctddd/LYZx5m2pQJBDmPsDyMLpdARFy8fIGXXnqB02dOcu/9d7Ng4QLKpTIDA4ME0jOMmQQtFeUwopDPc9uqVVy4cIlz584hpfN9i3c0yR7aqvJLAb4UFPJZMoHExuMkkeNi7PnDlZsCHtN0xs6uHcvjds32c7cwVISbOzpK61hgSMSwTSdrqcaqMmNXbLOLJDIDV0ptqEW7C0uXtOOU1iaMevzEycxdspxCXeNvRAf+tovZAUiWLZlLY2MtT//qGUpDQzz62EMU8gnoceHAx4+f5IMPtnPl6nWk75MNAgN2hHEe9ITb7Wm09dcxk7ftwgJkhRZlQpW7+jjWLlm4KvmPdN2rix7luBs8t7wy/S6KcGZUA3ZG1EwkEUGxQ74FzQZHWDDhGDKwYcEJdHKKoUgbO6E0MpD4fkCxOMT+vXvZv3cfzc1NjJ8wngmTJtDYbBVdb3F3O+oxu7jalQnc+7Oh28IlGhSmtkIrZGQjlxQ4ICOd+FcaRMWgp2pxTo1527yk+5RpkKSO1Zxa9TPcjOFMsz4j+ps7Nkp3SzZPzo1e4AnrJaCdMVOjhMATEiWgvq4B38/ayEYP6fn4fsbo7AgPtIcUNiqLBDRpiyWNT6FGC8OahVGJsFyqYHekKqMjp6ibAqskE77wXFBIKgpVE/djMHNoFIYkVkvri6VCTJLJCC0iIo2NahXs23eQn/zsF3z1qSeZMmkCWoamrexGwGyM0s1p+7wdD0PFkFwmM+b7Gu0d9PcP8/b67Zy/cpXbVi1m7rTxZH5jYdaE7RHCw5MmjVDgp+um4yAaA37KlEpDDPT1MjQ0iFIRn//8Z/E9n/fef59yFCKEZ6M2DbtTyAW0dXfT2dlJe3s7dXUNFItFBvp72b5tGx1tndTUNFEuFRkaLlFXV8vZcxfwfcF996zl9TciTpw8gYdC6oBIwNCApieb4eDBgxw5PpeFs6YwY/IEvvm1p/jb7/2Ade93cv/a1fg3iT6qbufzl/r4/o+eYag0wNTpndz/wFpmTZvCxQvXeW/dewQ6IhAhgiFUeYAoDDFO28JEhkkT9aSEYcouXLrML375DOs3bGDtnbfzuc88yvhxHWjtsWffdp577mnq62v58lefoqWlyZpvFZ4UCBtlqCON73mEKkREEfUNtcyZM5OzZ08TRRrpBcnUIJJ/8SEhKBQKZLMZu+HUOEbKzCo370O3FJaeWhZjM1cFHZzqcCO/b50d7Y5EVu/M7AC21qgYxESRUWNUSiU+PfGXnOO0wNi7jcjSjFkzmbFwCZlMllEr9AksnieZNnkST335i/zgRz/iV78q8rnPPkahkAfg6lVDeR49eoJSKSITBEjPaCUIp5QsXeiu9WcSrh0T0OLEncAtRMmCoSC1SJKaPNK9r7KMCXqSExJBqVt4Fx8fOL216whLx1QzPGkQ7/yNtGMJ1SgraeqpY2dTIXBKwjLODScQWtooLw8VKa5evcr58+fZvnUb3eO6mDFrOu1dneRram5RNsE9a4rpER4VTA86cd7SIJRdkT2BFwojiBa58Wm+YqR4HPuajHknIZDWuorb0m3J4nrgOAi7MidtVA2BExDDqK8v9h1PgZ2xTJ3pa7qf8T8nXSMlWql4PpLChJ0rWzvfD7je08/ufQeQftamFgDPD0xurCCHlBk84SO0F7dTkkYnqbTxf1LWuTYEVYbIJLBUqoSOSgiXBsMWw4gngEcKiIlqrdBRZPqHYxytNlKktLNaxvd1C0/s74S2cg3GB+nw4WM8//xLPPnE5+jqbCcMS4h03wFLvKdfjJnvo/DWNzJaay5e6eWll95BCXj4/tvpamuyJvdbvswNS8UKMeKaIja/+Tb3WSFfQ0NdkwE/5SKlYpGvfPUpusd3s23nTobLZaQnqa0rMGnSOCZN7KarvR0pBMXhMsPDJfp6BxkYHKBYLHHi+HEGB0v09/cTapg0eSpNDfW0tTQwWCzxwP138+xzz3HlyiUEZXzfsGN9fX1cunyJ9zZsYvy4dprrapgzfRL333s3b771DrOmTWHyhHG31E4aGBwK+fmvXuPQkYPMnjeZBx9cy5Spk1BItm07zIWzF8l6CiH6EaKf+fMmM2/OAtAep0+f4fCxE5w/fwmBjy8CFBIlzbxy8dxlfv3LZ9m6aRv3rL2ThqY63n3vTRYums2da2+nvq6G4eIAKoyMv7E0CbqFFAgr/SAjwMpeTJ02hT17Ojh38SLxXBpPBI5YMX1RCEE+XzBQXGmQdsNlpvKbsjtwi4DH0NNJUgetLAAR1ptdOqGvqjDAeLJ0r8JcxXmNuJ1KbDaLTVXGESrRV1A2v5aLyxfxJGMiF3xmL1jEpBlzkf5vHjnwuypCYDPMhrS1N/OZxx7hpz/7Kc897/Gphx/ixIkT7Nq1i+vXewj8DH6sTq1jvQPjH6UrHJTNtUU8AYgYJacnBC/5O+5bCfsBbsEareJVCxZJH3WLJmPswpP7j3682vxQWesblxHrpUj/qPgDcNFBVSwBNjy44pig4tSYuTCgIF4MEjbWtoVTsEoAgAML0vqCSM9EPp0+fYZTp06Sz2eZPGUKEyZNpL2ziyBrNZtGtFf14FaVn8UAVlQekwKUMpEWQiI8Dx2FyEhZHx0TcakUeArCSKbeo0lqafz0FEoJQNpcdZWt74IT4j4UoxzbZzETWWXouI2UqriOa+ORE5oUMvEloPJ71cU8gyadcNMa33CmGyklvucxMBTy5rp3OXv+IoGfMTtezzPMjp9FyCzCy4AX4JTXTP2Mn4xS2oBp7RxdjR+NtpGjWkcIFSGoZMmMBIKT/Ui1aQo84QRglYnnkqFjgXWFKKRSIcYPy7gimDoZ758I4o1QKYx47/1N+H7AN7/xVQo1WbQOSc/3cbfXCagQCMKyJgw1QXDjEaq15vzlHp598W1ymQyPPHAHbc11v1cGXtgxKTyfjOeTyeahVtPU3M6UqTP5Qn8fpbCE9CTFcJDh4X6icJiwXEJHikwmQ119Pc2tksG+QQb6+zl97jxnzl8kny9QV9/AmfPnmDJpCqtXLWbDB9tpa2vmy09+kVdff52DBw8yMDhIJsigtebMmbNcvXqZKZMm8NDdtyOlZM2qZezdd4CX33iLb3/1S2QC/6ZzoYo0b63byrp319E5ro7777uNBfNmEUiPq1cGefaZt9BhmcAbxs8U+eIXPsOXv/hlujrHgxYMD5fYf/AQv/jVr9m4aTOXLl9FaIkvMgkWCQWnT5zm6aefRwSS+Qtmcsed99LY3IAKTb5GZdljz/MMwyg9hKcRkcbzFL5n+l6hkGP+gnmcfe08WlufUmtOc0lEESaFRzZrkvFqLUw0otZEJFpBvzHgAbercigr1VlSfyVsQeXOz0QAJAuwWylj4KTN7sSeYNkeN7dbUKQ0TnzME+n9uDFhZfJ5Fq5YRfuEyZ9oE9bYReP5Zgc4Zcp4Pv+5x/jpT39K7/UehoeLZLNZk5tHOjOVjnepQpIICIJNCKitxLy5dkURDk4K6ySWAKKK00aYIqpqnNr9Je8fpFv6HbaoWKc//Lup0GWpKsmCNbJU+xONeo4jHka58kiHaB0zH5VMozlfup22W97t4EvE7WxfFtY2DmipTW4jaVg+nQnQoaJUKrN792727NpDc2MzEyZMYNqcWdQ11uNngnicVddvBG2a/pl+XzEhJcBl3PYlOoqQkUQa71q0MurAXqSItNl8hGFo8+BopBTWb0Sjx8jA5kyjcc2Ee6cyRTppIp2McdPErv8JRkpROOAjEMIZouJezaiRW6kOPtrcJaWJzBF4DA6UeOPtdzlx8ow1aUgQHsLLGKAjs0gvi5AZkzdJGgOgstSK2TCIuO7OUVZFZZtuwCaVNMgSE81ls8cLZdlEF1knsGgyNlMhTdZzraQxvTn9sVg6wCoDq5CwbJzLUco4G5sJFxWLa0o8244fbN7KuO5uHnr4fgqFLFFYtg7Ktr85UUnrXSrsZqtcBt8fm8XVWnP5+gC/ePZ12lvbePCelTTU/h5kGm6pmHksk8nQ3NxsDmkIdYlSOIiKQqPorIwfjhG8yxGFioH+fnp6euLcbtoyGv1Dg0ya0MmVq5O43jdAa/tM6psaee3119m9ezeDxWGU1pTLJYaGBW+89Ta3r1hCfU2e2kKOh+6/m3/44U/Ye+Awi+fNGmXjkxStNUePXeAnP3sa39fceedSVi1eQN7PEGr4YON+dm7fh+eVyWZLfPGJx/mTb32L2pp63FiorcmzbMki5syezYEDh/jZL37OW2+/Q1/fsMn1hU0fYYmFKFLs3LmPn/701zz2mU/R1dmC9CNkpIgwfqPCOcZZggTbNkHgo5Ri0qSJjO8ex4WLV4yfsENWKfAvhCSXqwHPJ7Sq5WZTZfqo89O6Wbkh4DHoLLHlO/t4RYQA6cklmVRdRlniUHVJnDlcV9qi3Zeq/QHiK9rB7vJrmTB0SXNLG4tuu536lt8sfO/3VxxQCPB9RX9/DwMDfXR2tBOGIZls1kjBSxFTv55nmDOkiENWhUhyYKUXv6RNdMLKpFFImqkYrXaxP0Fa3yABOPFXhVlsqp0Ok/qMAliqzr0ZOv+wTFFyAgnhUXU4/RNGwobRLlV182RDELOUCRA0Ta0rx4dwrAJWt8o682mNlhLP0wRegUhrevt62bFjB3v27KW9rZ1J0ybT0dVBU3tbIlopRqv1zRmPkY8iDPpKKcp5wjyj1CbDt9EFkfGm5iO/s/RnQiBjfylG7WcmQubmu7eb1cX52MSstDZslcL44pTKgm07t3HwyDGEH+ALM7lL38fzA6RnfnpegPAClLAQ34kh6jR7rYjCiFLZOs5GZcKwaPVgSiirhZTeIJo5UMWgOGFpJSgbOeR6qTVZYf3NlNY2AkzZNAvWWdnJEeAYJRVzNy4EXwhBsRTy0kuv0tjUxL33rMbzMqgwxJ4x6pZDIBguKXI5b9R1WAODw2VefHU9tbX13H/3ik8w2Kks8RMLjS8y+EHGpKiKZwk7L9rzGuqbqK1vYGhwmLAcmnQSWd8IeKKZNX0KR06cQWYyZHOTeOyxx5gyZQrbt2/n1MkTlMoRXiTYs3cv2/fsYe3K5SAEs6ZNZt7cObz6+lvMnDrZBLWMUl+tYXCwzC9//SrXei5z512LufeOO6jJFkAI+q4P8tKLbyJ0P4XaiM9/4VP80Te+RW1NQ2yZMX3PPH0ul2XRovlMnTqJu+5cw7PPvczWLbuIygrfF0gPyqpMWI4oRxFvvvUuBw8d5L5713Lb6qUU8lkjYyOclo6M2VDhklXLECGhtraGuXPmcOnSe2jlMgDY+QhNpCCbySJ8n7JS8X5NRW5eEKlxdON54oaAx/f9REaexIkzfc1KZ0CPGB4pa/EXOqZuwTrRxqSOiBdbw9YmmY7jf1Z4KO1Mq7Rg4tTpzF+2kszvQUzw4y1m13/5Ui9vvPEmvb29ZLO1+EGAU/50uUqksGYsMMqysjLPTTXgqTbNAAjh2/a8cZ1McUjBdqoUnZ1cz03M5ryP/12IBKylapaU6mcUo3w8EkyP4q5sWm40JDQmz5RiMaqunziEm7GDU8Il8VdxAn3xP2HYEiEEMrLKsb6HVppz588ak1chT1tbO9NnTqNr4njyNQWk76cYvarNBxCn73C7B131r7otHFNhamv97sw5nies2cvNC2OAWQuWqv2eRnNsrz7uWlunz3CzXAyg9chXf5OSZseEsCyn9JDSo2+gyPoNW9m6c5dpTytCJ6WH5/s2Q7lvdvXSiciZd6yUe7PxyDMaOOWQsGxYsMhG54Q2JF3rcgqrJkEchq539bXjTgmrg6QTP0ewbmLaygsYx+hyaNgk7eQGrFKwe9dO1kMLjUJars2M7d7efl54/iUmjB/H3LlTKSlpk1+m35ftywq0hHI5QuuRUZtaa4aLES+/toUTx8/z7W8+TlPd6BGon+ySMslS8UtFkdKjob6J+lrzLkpRyaZngWKpRENdgXGd7QyWQoJcnrr6Otpam7lt1Qo2b9nM66++xoULFwBNX39/fCffk6xesYy/+E/fZc+Bo6xYPGdUlkcpzdvv7OKDrZuZNKWTTz10Lx2WCFBas2nTYfbs3E4md5V7717B1576MjU1Gcz85GCAdRSzplSlNbU1dTxw/wPMnDGXf/tv/x379x1EEVEKQ4h8IoQ1Q8Hp0+f44Q9/xq5du3jo4fuZOnmysYurErEDnVtH3MZPm/7b1dVFZ3sbZ89cREvr72uFBIUvCDImX1apVIpxhrLNEIVRTKbcrH/dkkkrdsRLHQMqwIlLEhovuXbXFoeSK5N9FSES9Ur3Vu0O2UUYuKlOSqPenOSA8hCex9Tps5mzZAV+5g9jtzBacQvk8FCRwwePsX37LoaGQwKv1oajRjjBM+NHlUSZAzEIFG4XnOYsLEAY1bHY6o0k6tVQmVY8oQkrkAZJyGL1kuV2taO/Cgeubvyebhid4649YoEbG+xUMDejLOppUbiRlRmtflVt7K5h/05HdgHGDo0mDssWxkLhNg4JQHJ/mwlAS2GidoRJk6CVMGKb0ifIGE2Rc+fOcPrUKXzfZ8rUyUycNoXOcV3ka2txbFu8mlYwI9V/xw2UAj/YhTH1nVSdJcbB2YX7auQo7yVpK11lAnRmythhvro+8cs2fwgLnJxzYhrspNm0W0U/aQdrIX00AaWyYsMH29myfQeR+0wIpOfZ7M8yThbqeT6+7yM8HyU8lDKmK2KG08xjUWjSRziqPYqUyZ1VDolsyh4JeM4vUeskTL5iLDha35qyPWtSECZpZqiMSdAJRbqs9s5hOZEOSL2ZFD1rfC8N6JGex4WLF/nZz3/JH//xN+jsaKNcClMYM9UrLEuP1iY8XSZJoodLERu3HmH9+t0cOHCQcV0tiaSn/m1sin7/Jd70WfkCz/eMbrbWZoMAdLQ20DsUIoOApsYCdTV5BgYGefTTjzB96jQ2bNjAgQMHCGzkm5vDJ04Yx+zZc3jplbdZMGc6+VxlZJzWmmMnLvOrZ1+lrinHAw/ezqypU+N27h8o89yzrzI0cJFZcwt88+tfoamxyaQuwUe4bY1wM1sS9YyAYrHI1q078X2Pb337a/QNDfPmm29y7MRptDASDVL6eEjCcsTmD7Zx4sRp7rprDbfftopczgcRWZbHQ0gjkikQdp1T5PJ5Zs+bx4VL14giK6IpjOtGJusjPEmkQpQyZuFSGMXBOQ31jXR1dZHP58nnx86UDjcBPGEY4qJ94szTKXYm/c+tj6R2g/H5wqA6I9UjUJbhqt62uzHl5rzk+saxUPpZFi1fyfhpM00CvT/QgeNCI/ft28/O7bvp7x1COPpcyoT986QFkgDGWdk4nzgzltsDV06SaVBUded4h2Z1BhCp3WX6KyZs2fyWLsZ05f7yKr7jzqi+Z+XP0dfcEXUf9Xq6usswMsy5mnP4cH2kEtikjqfbCLdTMZILpkldm7pJvRpgmZoorSzwJ2Z5HDMWh12TUiGWAqmMgKRS1hwhPTOhhhEHDxziwP5DNDc30dndxdRpU2np6iCTzVifrkQgLGZF0o6+1WDHfZICZemfWiVy/W5cjqmJox0UqWRj3PWr2wfcHFBVF/tOksOuzazSuk5HkqW+VF0dB5IERNJHS4/B/kHefPs9tmzbQWijSTTYXHyeHZMW+Pi+MSl7njEpW8dkG+uNsiZgFekKFWsn/lcOyzZMPBFp1BBHirmSSIE6ZW4RZ2iX0vwzpkXjCxTZJK9KKzRGQE7FYCdKtY1leJSyEiOu3yamGReu/rOf/pqnnvoizY31RCpM5vTUO1IaRKQYHCySy+bRQDFU/MMv3uLV194n6/u0t9YwONzD3/7DL1h922JWLp1D4feRauV3WByo9rWN0PShHCoCT9JYE9h3Lik019Jfm6dUjmhdczu3rVzKX/zlf6Ln+vWKWS3j+9y99g7+4q++y579h1i2aG6KdDBmw18+/TpDxSGWrpzFqmVLCbwgBsobtxxi966tTOiq4U//1beYPGkqpm8ZwUBTZzc27MQUGQfivr5+fvyTH7N582b++E++zdx5M1FCcN/9a3nltdd48eU3uHTpOpoMnvQQQhIEOa5d7eHZZ17i0KEjPPTgXYwfPw6neyaEVWZGI/GN9IyvaGlppaG5gWvXe4yfmSojhY8vzLhTKsL3fZqbmqmtb6R73ARaW9uYPHkKra2tnDt3lpttfG4apWVfIZ7nxTR2PJMJSETJbMNBxctyAyVtJ0QmzATx5I5xhLOTkhvgJpmbR6G2jkUrV9M+ftJN5aM/yUVrTbFUYve+vWzdvAVVUmQCoysgpE1gaDPQxnL4YNY+lytEuCXX5jSp2hEmre/ehgNGqfO06+SVS4OAqj5TDSjseUJQGRlkGIpq8DFSaTn92Yirjnqs8vl06r/uGyM/H/t69hMhGMXih8ODN6qaTrevBkRi7HMAbPRhp+KhE78NIVIBw4m5K3LJWzGA33Pg34kEapCewA98ojCir6+Pnj3XObB3PzW1NXSP72bS9Cm0d3aSq8lbhiwizZBUvJ4qhsf8cMxOJeiJIpOUErzUi0g1kEi1oa58V27ZjT/WCYxNFDVGa3wDzpV27axiHFf5TxoTi1OPthEdCkGkrS608JG+z8VLV/n1cy9y5NhJlBZ4gQfCZX/2DdjxPAI/wA8yeEGA52WMeq/wbZ6F0OSiciyYss7dodF6CcMy5bBEVC4SRUUgsg7bIlVpA3K0sGHyMVuSuBI4BtCYDxzrIw2Y0oooLFtGqWzySakIl1yhehgIez+htd002YRBOhkTm7dsoVDI8NSTXyCXzRGF5bjPuvlI2KyopaIiDDW+D+9vPcyLL79PEAiWLpvNFx67i2zGY/eeQ2z6YAdbtuzg/ntXM3vmVLKZYAxW+A+/uLHtwGHgSUqhJuMbtWAAXwgasx4q6xFpKAWCpsZGhoaHLeNnZwoBk8d3MGnCBN5+7wPmzJpGIZ8DDcVSyK+eXc+RE+eYOG0yk6dMpK2xNV5vz1zq5/s//BV1dYp/8S++zorlDyJEQDJfu2IlZMBuiAWXLl3hb7/7t/T19/Cv//RfMXnKZBQhipDxE7r45re+ypq1a/nZz55m8wfb6e3tx8kdSBmgdMTBg0c4d+4cy5YtYeVtK8kGOfxAUA6LKD1M38AgV65e5cq1q1y8dImiTQ3i+R51tbW0tLQipce1a1eYOnUaS5cupam5GSGNYnWpWMLP5Lne28/R4yfJ5n4Dhgf7siKl4gnXUffphUVpE3lB6qhbJmXqOq4TjNpB7HFni/Otc2CoFK2tHSy57Q7qW1r/oHcGWmuu9fSw8YPNnDp1Gil9snmb/zbVvkAcdg6Jam3y7CLe9boyers4ukanjlTxHzdqT51MblVXvNFTVv0tRzl28ysYPSHroC08pDBOpibvUNL/zLlj3NrVWYzyzG4zM1btb/qg1WaW1A5plIok7ERaR8a+X1HJUBiGwfmIWAAlFNITCG3s5doK26E0wuay0dpDhYrBgUH27dnP/r0HqK+vp3vieKbPnE5zRxtBJjBRZZFtw7SPTZolIdmkVD02YagII+winGovUdWGYJgECwod+5VukPS5yjrUjrylY1NMdZVNcqp0GG/ClDLCfUobwT1TxzD5OzL+FEIasHP6zHmefv5lDh87hednze7UST1IifA9hG9ZnSCDDIyjMjIwYAcPo1jtgKLZzIVRSNmxOVFIGJVtItYyJmLPtat7ep3KSp44bKYjW3BaThiWHGEASqiMmSyMyhbwWPbIRWUl6DrdAZNNjTC5CSWaROjH9DkVwYH9+zhy+AizZ8/EhLgnZg6jzm1+DyNNsajoHy7zy6ffQAjFzBkT+PxnxoFD/QAAfABJREFU1jKxswmEoGPtMhbNn8H6Tdv56S9eZMb0KTz8wJ20tzbGEaj/WItx+QBfaoaKJWpymcQEJoxspWc3OUpF5ILMiDkrn/W5/947+M53v8euA0dZtWgOkdK88OpW3li3nY7uDkIGaG9vs/OJpn+wzPd/8Bwnju/lyS/cwz33PYzv5aprF//mmNpIwYnjp/mH7/2Quvoc/+rb/5KGxkaUgHIYEUUaiBASZs6axn/7b/41W7fu5o3X32Lnzj30DwwaTCAkkYYr1wd46dW3OXzsDDOmTefa9Wv0XO8lCssMDw8RqQjP92hqbmLh4oV4fkBdXT0NDY0U8rX09vazceMmrl/vp6d3mKHSFdP/I8OgBrkc589f4FpvH8HQ8A3fxQ0BT8zKKCNM7nlyhK9C0lhUsDnVxS0GGm2yqrpEoakdvLB0mln4zaQycco0FixfRa7mo+UU+aSUSEUcP3GSjZs20z8wYNNBmAXdS9nt45+pCCzHhLni/BocdS+hYic96mJ9A8xxs1a9tVbXN5i0qgHHWFc1dIPnZxAyYGCwyKVLl7l2rYeh4SFaGhuZOmUC2YyPUiaBn1toHJCrZG1ujtRujQ+60TfTAMEyZmLk+HAl2TC4xd8sMDEGwvUBXaFJo4VzLtVIG/JsdHNEnDtLa0wKBC3xIxNwMDA4wL7de9i/Zw/5fI4ZM6czccoUmpobkx12XNdoBLsz2lMXS0Uim2PLjGn3iRj1u/om13QlUopIRxUYzCzOApNBEANqIucfaP2Iogin/hyqiLLNIxVGRmnYmJIwflC+x/HjR3n2+Zc5f+kaQZBFWxVll3LP+NL4mMSRgQFEntHjUdZcgXZRLdoCDRMl4lSUQ2u+UoQGmKXAjnvHJpxfxX0gaWF7nnXc08JkIYqUBmHbXNuorPieJbSKzDiw7ZzOquNUhk3ftClGHHMkDaMe+B71dTU0NdYzd84sZs2aTn1DgeHiAFL4BNKH2LcjYQqVhr5Bxc69+zl14gSdXa089qm1TOxsTuZsIWhtbuCRB+9k6aK5vPrmer73o2dYOH8uyxbNoK218Q96fr9ZEYDvCcohDJaKFEbxP1VKEZZKtLe2jZiLhBDMmTmJGdOm88pr7zB31gx27T/J0y9voLWjmxCzviDWAMaE9twLb/HaS79m+bKpfOELjxutoTHa2OHvUgT79h3m7//+e0yc2Mk3vvEVamtrKYWGSVTCM6lhtN1glEv4XoYVK1Yya8ZcduzcxS9/9TTHjp8gUmWiUOF7GbT0OXr8LBcuXKOmpsCsmTMZP76bfD5HkAkIAg9FRG9fD4ODJsdXsThMf98g4DF16gwOHzvK5m3bmDt3HkpFDBeH0UT09l4HJA2N9dTV1t7wPdwQ8KQnZ4SVM5cJy5OEU4ImspO9TFgEnfK5sIs32lHaZtCmnfSEFQEDSaQlM+fMY87iJX/QzsmmaM6dP8d7GzdQKhk7pJU7S5y93S4P7G7PLJzJCu7ayfxzOjLxBBnfaeyS2oSPOP7bK9U1utHdzGdDQ2XeXPcWR4+fZmCohIrM0hB4gqWLF3DX2tvJBnnKYQmly7hcUNjmip8zZhySJ692x72VWt38mVLXqQJziXNy5XFhfXLS56VNvJVMQAKC3PMYdsWEaErpfDMwViat0b4RENRKEegAtKZYHmb7zu3s3LmD1haj8TN5yhSaW5vMmI1CYjtRRaskf2sNw8MlyuVyXPdIVJ4+KuCJx73lNarBj4ZIK0InFZy0FNpGBaGcD5HLz+aYHZcI1bAd5bBswE4UGdOSihDSh0izd99+XnrpNfr7h2weMy92NHVRocZ3x0f6Jiml52eQno/Gi82O2HqEKiKMXLoN44zsnIgNKDdaOEKrOMLKtaiFunHvdO4TlUED5p9yas2mQW0YegK6XDsk8hTJa3PnmH8RQptM156UBIFHbW0tzU1NTJowgRnTpjJx0nhaWprIBMaNYXi4iKBMERmn+XGpUzzpmboIwbFjp+nqaOQLj9/P0nlTR5GpMLIa47ta+dqTj3LwyCnefW8ru3ftYdGCWSxbupDGhkKFgOo/piKEIJ/NMFgaItIRHpUpNQYGBgn8gNkzp1d8z42GQi7DvffcwV/8p7/nv/zwBfYcOE0Jj5r6RjZseocrV86wftNepk2cwqb3d/K97/2ECRMa+ObXvkBb882tI2Gk2LhpDz/80Y9Yc+diHvnUA+Rr8oQqJBKGfVUCo7ysPZTSlMMQKSO00hw6dJD33nsPP/BYsHAeTU0NXLp0mQP7D1EuKaSQlCMYGi5TLCmKoYJSSE//AMPFAcKwmARzIYzpPNKUwxLlaJhsPqCn9xrHTx5lypTJTJkwmaamRjo62ujoaKOlsZ5scGPh4ZuatGKn2YrMiQmAqdyxpSa2KsbC7SiwtJnZoSUOeYaBNSHaQSbPnIVLmDJn3ofIL/TJLVrDiRPHKQ4XCYIcQms87XRNEjOWVV0yxTknxwueabsEHDLCPDV2BZJfb70lzR1i7aQPaZYavQLJoj3ylZr7aSR9fb0cOHCY4Uij8HC+QcPlkA2btnLx4iXmzp1Dd3cn7W3NoEPCchELBeLrpReUpCY6uV119T5kGa1bpsPTbxaRUrGhAMtUmZrHZg7t/IJUzOKZJ/KMjo9MgENaIkJjHWe1W/BAZjJkVAYdaXoHB9i+Ywf79u5j/ry5LFi8EBGCdIBJayuUaOpiQuYFCsnA4HAcXWXCQ3VFY6TBTPVPYEQervi49bEx55urO0ZBG1sWWmOYDpvNXcXqwspGQpUplotG3E9rwjAC4SG0YO/efbz++jqGhsp4fs6ajqw2iIsElQbseIEFPH5g03wYsKcsyFDaBHUYXR0DFJU2oMSAneSfRtkuLOJ2MnDV/uaazwFeEkVu9/4MexSZ/OVaW7Oe/a6db7UFyDql6yMwQEjoBCT6nqC2Nk97Wzvju8cxadIkOrs6aWqoJ5sN8H1JGJWIlGXWUuDLuS648ePS/siwyOTJ4+nsauaOlfMIxsj9ZB5RkPE95s2cxOQJHRw6fIpNG7ezd+8xWtpbWbRkPh2tdTTUFchav6oRw7Vqt/KHskIIIShk8oTaeFiZhNzmnR46eoL29jZam0eyXZHB2MycPonJU6fz4ivraGrponv8FPbv38v5MxdRSvP0r19n/+6jnD52iJqC4tt/9HXmzJrHzVooDDVvvrONH//0Jzzw4B08/ukH8TJQVib/mhLKyi+YSyklbNRhhO8Jjh87yV/+5V8ShiFLli4lm8/T2NTEuHHdzJgxi2PHTrNj9x7DfIYhO3ft4sjx48yaPYtCTQ6ty/i+R2NTPcPFIS5euIBSmppCPc0t9TQ3TeG2+joOHj3M/v0HmDhlPHffeScN+Ry5jEfWk2Thpljh5slDHQ3rQvS1s8mLmFpNT/Lx8jjKZJ9MogqhBZUrhkApQTZfw9Lb7qBr0pTYxPWHXzRBNmNMMNa2KVMTFZBMILEJK5lYbtYCIrXMp68zek3GuF68K0w4kDT7pl20z1h1GON+5rjz4xnr++YckzFXcPX6dcpRaCd+C2OEQPqmjxw+fpxDR48SeIIZ06fyhc9+BhH7VETJzjb13xsWi8Oq27Ci3Iw6G+WEEb5Ddpwoa9pFCJf7LgE65ovWjKFTGFHGSR3NmYkitNY6BYyTBwql079SOH8bFWnr8wK+F4ASHDx0lM6ucbS3NVm2JGFhlDPdGGMaw8MlBoeGEamEvireECXgJgE6VYQNYwMeszxXwVOtrL9SouWllEmCqq0vT2T/KRVRjsoUyyEqMhnZhfAolTRbt21hw4YPKIXKaFxJEwvlfGWkTDZxLvRb+ibLs9IJkIiUEQY07FFIpI36rnnOyCYFDYnCsmF4bMJWz0Z9pTeKkXIJQyOcKd8IirqErpa9UgoljV+Odu1gMJ9hdbTZKxnzkhNAxIAdXYaojNCKfCFHR1cnXZ0dTJsyme7x3TQ2NuD5volEs6GzUeTSAxnfMbPRcsBHIZNOaYacFERRSEdXCzMnzyOXuaWc1AghqC3kWbxgBgvmTuPw0dPsP3yK1978gOs9Q3SNa2dCZwPjO83GJooirl/vpa+/h/7BfpTWNNQbdqq+vo6G+gKZwIq0pu7xSStCCHw8yjZaTwLDxTK7d+/l9lXL8b1KXSM3gw6HMKwDZs6aw7Y9x6ivr+PShTNcv3KB+nyGcilkqO8aRw72Ul8r+fYffYXbV96BJ70R66hO/RJGijfWbeXnv3iGxx9/gIfvuwvf9wgJjRaptpst4eYC+1VtHPS1Uly9epliaZCuri6amurp7evnyuWLKA3Tps2gWAo5ePQQpVKJKAyN9Mag5MDhwzQ3NZLNBixdupBZs6YThSVAk89nKRRqyeVy5HJ5svksa9eu5tkXX+LYscPcd8cqOvJJipJbedO3mC3dUa7mklFqFounudg8hf3M+vqQTCTY3YoQAg8RO1cJPJSG+qYWlq+5m8bWP1Tl5NGLEJLJE6ewa/c+wjDC98AmgBjrG6Rfn05toF37xZJwKYo8Ji+s+SMJja6kuCvrZj+TiYx3/MJlAn5cVIy5WjVV/eH+rlzojL+W9AKU8ujp7WHjpi2UwgjpewihLMMgUGgbyeYjlYlMOXXqFENDQ9QU8qDKhhFy0vm6Krklph1HgSZxeHnlxJAs4mO9qeol2+3Sq29iDmu7m0/FclkWByGsf4i5Zzr1R3IFy/TYv43iuLmRJGlnt6D6UpgFl2QCNQtphFICKXw8PMrFYa5evUJLUx1ahWiiVL8y/1PKgJ/e/n6iyPQtpXWKvUjqFjNEtklG5tly08fISdhtIt28obWOFVWdCdD0RY3CaNBEsWOy858xPjVSeJTDiE2btvP+xi0gfPwga5yBbWJdGZuTTWtLIZHCRwgfl74mUtr0JS0sGAhtGLgJNzf6IMr6DZXQ5ZIBZFqD1b1CGzkHAy7Me/OUIoqI2W9htbbiBtDStpUzR5kEoQIbn6mwae41nnB5uKR5fzpC64jAg8aWFqZOn0L3hHF0d3fS0FBPJvCtvhkxUxYKgSe8uC9pbRhEM2jcplZa1jTV15Q2wChU+B8h87kQAt/3mDVjEjOmT6RvoMTmnSf5L9/9KZcvXaKhtpF8UGB4eJi+/uvU1mWYNn0cNbU5SqWiMSuWQzxPUFtbQ2NjAxMnTmDG9Ck01RfIBAHZXIZCNrDtW7XJ/FC1/XiKEIIAyVDJuIJs3rIbpTQzpk4atf0EkPdhYKjI5q27yGUK1OQLbN+6hUndnURDQ4TFa3gM0NnexR9986vcfced+H4w4vncrKa1kZh4+fUNvPTqq3zzW19k1dJ5eFISCQ3a6H7FyYRJsY3KJFwthyUGS2Wamhv42je+QibIcv16D9lCzoD6UHH58kWiqMztt99GsVjiyJHDXLx4kUiVGBwaBCGZPXsmq1evobuzGV8CUpDxJIE0Pq6eiLlFnnjkU/zdz37Gug2bGP/ph8h53i2/w5umlkgmvih+UZ4QqQZI2J2xSppqNz/tf60zYqQETa0dLL39TuqbWv5RgR1XmpuaGd/dzf79h2iobUALFVPXUkq7Y09ohrTOQowh465qwVLcTHYxTDXbR23C2JcoteAlHzIqaEqzedU/x7yHLdLzKZY0F8+d5/Dho+zeu49LV67iBYHJ7O3CalNgyywQZiHJ5TLkcjkz2QsJzpdsxD1tXREj2iZxWRmj7nH/rTo84sFSZM9Y10i9qth/QyT9IPGZqwaG7v42GlLYtrHfF6lnjiMeU0AvuYYNc/cEnpBGryMapvf6NUqlTpQqW1mExCQRme0dSgsGhkoml41MxAh1BXtXKayY9NvKpkjOcejaTcKiss9hHjMJj08dtoyGMWsZbavQOiwra/bavmMPH2zehpAZk//HoBrzIuwPUilrpPRBuigsy+xE2igXK6wjtLLmrchGikUmT5YKze5UGb8y8261vaXR85FWwdn4v0g8KY3juX1vscCqMKZcbVkuZdNQSG0SKxuRZQOo0CFgEn56nlkcWlpaaG9vYeKEcUyaPIGmpkZjrkQjPduLtGP+rPw/BrwoYcaztLxuqlOTgPEkqMK1Y7kccfX6AF2t9Xy0ohkuljl4+BR79+ylraWWZUumM3ViJ9kgw+EjJ9i5az+trS386b/6Km0tdWitKZVDBgeHOXL8NNeu9XD1ei/HTpxh4wc7uHa1hyDIUCjUML67nUkTO8nnMxQKWRrqG+jsaKeuJkvgiXhO/V2tPkII8hmPHbuP8syzL/Gtbz1JNjO6D4oxsgiOHT3FyZNnaWrq4NyZs1y5fIFJ45ppbMjQ39fDxAmt/Om//CNWLVuN7429vEcYk+zzL6/j5Vde41vf/DIrl8zHt4nApXZO9WbdNxkSBNh0U8oGLETaBBrkavLMmDWTUrlMc3sLSIEvPAQmSbKQHvnaWnL5PEP9/by17l1efe0thsOQsL+fnbv28cKLr/FHX/0cHc11Zogy+rsYV1/Pow88yM+eeZ6dh4+zYubUG6436XJTp2VTdAXdTtUC5/xwqh0xES4TS7LxxZonwEygEp+JU2ewYPkqMvmaTxzYcfZyJ7YWReb3YqlEFIHnZUyWZV+QyQgC38f3zWSZfhTf81i5bAUXzl7kyuUrtDS3WOiSLArJz1T74hge578jiPVu3M55VEGZGzyT/TkSFIyysxDOTysJL79l36FbKJFSvPjyK7y3fiOlYplcrmBkxMshoTUv4HvGj0KYnmiKkSwf391JkPEgChGpT81iM/I5E/BYdeyGz5Tedt+g3OhjYUKrid96BecRt7Nh79LjJf0OXB9QMTiIwdKI27n+Y+9pGRXDIgjQ4EuPjC/Ze/QwtbVZisUigsgIXjonXuFgtokw6R8YNFOg9QvSxo5ifopkE5S0sa4EPfY7DvRUN1xFqDvYTZEFSe5MbXacKgWCTLSU0YMphyaCqVwKOX3mLJHSsRnLdQwhE99EYVNISOu8rG0GeBGlTWrCAp6QSBm204j+mWSSKopQqgxWWFCryBBJFmC6NDBSuJyCpm2lkBZgpMefFXTULgIMfKXxPB+tLQyR7l0qtIwQIiLwfTo62pnQ3cWsWTPp6GrDk/ZdxTAyBWoMqiYJNXfvxog6Ypkk815leuTZ/iksg2U2wQhJb/8gnS0fLhO61ppyGLHvwDHeemcjkRYsXDCHL3/hHpoaavE9g6jCcCX7Dx7j6Wdf4Ze/foavfflzNDXWk8tmqK8t0NnebK9n5pW+vkGuXLnKULHIwGCR02fOs3v3Pnp6+xgeLqKQZLJZampqKOSzNNTVsHD+XKZM7KSmJks28Al83zpR3/LjfKiitGbb9h3U1hSYMK7rhjvVKNJs2rKXUjEkCDIcPHQEz/O5fOUC0ye30NExlz/+1tdZNG+pMWPd6L6R4s13PuDlV1/ia197kmWL51tfNbcpcuu20aNSXjK2wygkykbkslnqamttrjgVq5TLWENP2DnGpDPy/ABfSvLA3GlTaGxs4pfPvsLQUIn+gUFee/1twlDx9S89wozuVtJrYEURgnkTxnNu5XLeev8DJnd20F5/a9jh1oyt9kEM0K/cf7mFOLZ/S2l3V8k5juxOzvOsHkbAnPmLmbVwqUnO9gkBO24Anj13iSNHTnH8+GkuXLhAb2+PERYrlRgYHiIiQMoMWmsygaKuPsekiZOYMX06ra3NNNTnaW5qolDIIoWgob6eRx95hFdfeY0zp8/Q2NSMLw1ilp6Ic+MIWekMPrrezkdoK1G52FdcSox2j1EuEIOI0cHRTStQ9bcQkokTJrCjsItrw9cYHuwnKgcI6wgrRQB+YHfHVn7fkwQ+5HIBixbNRwqnLKvjLNwGlKfr7SiesVGJM6OMfOaU4FrVN3TKxJTmbdIQKeEwJA5a2b2ynViq33dlXRwQSggbJ2gmk8/VaM/lnN412BQGhhWwbSvh+PFjHD5ymCVLF1Iql8gE0ob7qwqQrZEUi8MMDQ8RxSAkYXcdRY57woQ2M2xw/JmOF9ZqgOj8ZKqegCSzF4mJrYrxiZSOfY+U1pSjiFKkCDJ5PC+wpE6Slw+surGwkW4WTDoQYGL+QWnrtBkZ05ZCEWmbwiEyUVhO68f46CkDFmy0iXbvS3oIjBnfKNKm4K5OAK/525yfdGAHJjVahyglCDwjKZDJeOTyWRrra+nu6mLa1Cm0t7fazapx5E63paMYnXu8VPEeNjW8dQxmtcb4jrnIMW11wzRgqyiEQIfmuleu9VHqbjPOxrdQlNKcv3iNt9Zt5MLFiyxftpDFC+dQU8jGC68rge8xf840Ojue4u+//2O+890f8Mff+iotzfUV7SmEyUHV1FhLU2OtBcmaVcvmUS5HsWTB4HCZYyfOcvrMOc6fv0DP9R5++avn6O0bwA88WlvbmD5jOtMmjyOf92mqr6OlqZFCPoPnJaP8oy5bWmuOHD3D6dNn+dznHqVs/bWkTM8g7lw4d7GXDZv2UlffxKUrV7h69TJBEHH16hWm3LeUrzzxKJPHTTIM4o3uqzTbdh7k6eef5cknP8vKZYvwq5zMHdTwhUk+kWb48D3TpjbDhUMEKrVTS2/t0uw69lhzbQ3f/OLj+NkafvqrZxkcKFKOFG+//R6XLl3ln37zCRbPHG+BdGX9BeBLycq5c9h18Civb9zME/evJfj4AE+ywMWbAec7YKMbpB01TmJf6fjpK69jRgj52loWLF7BpBlzqgb377dorTlz/grPPPca69d/wNDgEH7gUVPIMXWqCdvs6myzDn2S4eIwYRRRLBe5dv06Z86cZfsvtlIqheRyOZoaW2hoaGBcVxfLlsynuamBlStXsz2zgwP7jTBcbW0NKGEmlYTySQbxKC+8os6jPkfVd8QoJ7pJTiSikb89hm3060pg+ZJFtLc0s3XbNo4fO8qlS5fp6+sDBEFQIIoiu0iYiV9KjZfzWbJiFdOnTkRFJbMsSplM3Nrd0y7YKWAxVvuNCnZcPaUYo6ErgUkyVaTixSwAi4+LFFM2hkk4/WfSD1R89fToMvmqRlbOCuGmzhTxoiYQXLt2ja3bNhMEPk1NzSbBpdTWgTctfGjqMzg4hIpM1FPM7tjnds09qjNylfkbRvbP5POq72IAgPmniVI4yT2by8EHIvXTsM35QoEgCHD+brG/jh0QSYCZYaqQOgaGsbnOaf8gDLBWkXWiNikXXN4ql7LDgVNhNxKGyUkUlJPcgI4R9+IxaJ7OA+GjhWfZc0k2m0GpkMD3yAQZamoKNDY10NHRRltbIw11NdTWFPB9iVIlC4YrBUvN1GxMUm6eiQRIaUQFhXZO46YNlHvDsUe8+Y5Mg3vbtUyEm6ZYLNLT109bU8NNp/QwUuw7cJw33nifieO7+PpTn6OluS7eYIxWhBC0NjfyR9/8Kn/3vR/zgx89y7e+8Xnq6wtjf8c9PJDJ+Lhlr7ZG095Sz6qlswEDlIeGypw4fY4Ll65x5VoPx06cYcP7GykWS2itKRTytLY009RUT6GQp6ujna7ODsZP6CAbeOSzHr4nK7TVRitaa65e6+cXv3yB++69k4Vzp1EMy/QNDVCXL4xgaCKlefH1bVzvGWTy1E62bt+GEAqJ6YeDxSEK+Zsza1prDp04zc9++Qse+9S93LVy5ahO0umfFX+NyrqYv7yqW+uqM6r/rs9leeqxB+jpH+DXT7+IFlCOFLv3HOTP/uof+OOvf4E7l87AH0WYUmBA0713rOLF19/i7JWFTGxrHrMPuHLj1BI4gJJMbu6Hk8xKnxs/kBBGbl0bBWYzAZhOoIH6hkZWr72P1s4J9vRPBtgBQ4U+/cJrrP9gGxk/Q6bWZ8niOdz/wBomTuwmn8slu5r0BI4ZMMVSiau9ffT29nPixAm2bt3O3gM7eOfdt3jxhRoa6xvoGtfN9Okz6Bo3gdOnThEpRVtri432iNIrlaXhKxG/WezcOTF/RmoJjM8ao9ua60kdnw239h7cYnmzUsFYjHHdIPAZGBjgxInjXLx0ifq6LHfdvZrGxkZefull9u7dTxgOGkdkm2MsLBXJZjyW37aW++5ei1BG40S7BSx+QBE3TxzNhE6iDdNMQ0W7jdJm8UVVDKhi4iRmUSrbaER7xHvn6iLiHbZIRTrJUZtMxsAmDRhibDfK2e5Ex48IYbRTisUSmzZvYnBwkOXLl+F5JvLImJSM/0i8CNvnHRwYsKJj1mm2CshombRp7Ipk++6NgFD677F8fpROOy2bSmmLUYwvnM23J3xcsg6lFJmMCS8PFYBKOYPbfzGDJUhGmTXXWWATKYis2GMMjJSyW1qVYnUSvyQ3RxiA48WJQd0/5wJgmBgviRoTNhWGBiF98rkM2UxALpshV8hRU1OgqbGJhvp6WlubyReyBIHAlwIhnBCitkrdSX8WdhfgQFgCtLGiySaJY4TFNwJik7krwt6DVLZ2+3kkI6RvGLEzF67Q2lQ/5jyhNZRKZd5dv4X9B45w99qVzJk9hSC4NYdnIQRNDXV87StP8Ff/2z/w8qvv8bnH7yXwb41VSl8nXTwhqK3JMnfmZObOnASY1A0DA4OEUURf/zCnTp/n8LHjXL1yjTNnzvLB5u2WEcqA1tTV5Zk+dRLLFs+lu7uTSeM7yPiVofVaw8DAMD/6ybO0dzaxdPEcpBTkggCtI4ZKQ9RkK000l64O8N76HeTzNZTLJS5dPIcUIegiYRiy7u31LJwzj89/+iEC3x99DtKaa719/PyXv+b2VUt4YO1afD+BAB/3Kjz29tHWRwgachm+/oVPc+78ed5//wPwcoQIDh0/wX/87o8I5VOsXTKDrJAj6ycE8ydNYGNDA9v2HmDC2ttu2n9uCHiUrqTfXXG5YNzPsRxVhcB6V3s41dLWjnZWrbmb+ub2TxTQcUUgCLIB0pPoYshda27jiS89QqEmi1uc4nPdzh4z9hVAxqehqYH6xno6x7WzcMkCzpw+zaaNW9jw3kaOHj/BgUPHeHvdesaNG0dHexuXrlzm/IWLzJwxDd83KRQcoDGMhKhi1nQMgszCPRpLUM2wicrf3MR3C68g3gFXtNJv9u48z+jtvPvuuxw5cgSEpqurnVmzpzJhwkQ++7nHQCiOHz9JqRgCkM34dE+awOpVq1i+fAWZTCa1SKdZkfRLqvqpUz8rth0p1mWUZ9M23NcwDqNf+qZtkjR86l2SqnuaIRr9ArEnRup5REp9t7o48bc0AFEatm3fyb59+5k7eyYd7e0Ui0WKpaJZPK393bETDtz09w/Y9d6I61H1DM6852CbcbJNohGVSm+LHNBLA6GEoUk/s3LmKrfnqvhp2BwjeOrZhTvxkQqCwISeO7bG1iARxZOWITOoLowihNApfR+Ni9YyAz3ERUwZB/kQhNG5MWM12Ww4QON7Jtmrybhusq170rOo1ozz2Och8PFkQE1tPUHgUV9XS31dDbmc8TXJ5XMUCgUyQQbPF0hPmaTCtu0Ms5W8F1HVX1zUI4LUvC2tqndl/0kAryDZVEkM2Vk112thNiUI+vsHjGnGGwlAtNaUSiFvvr2RPXv38qUnHmf8uA+/FgghaGtp5Ctf+Sw/+vHzzJ83izmzJnwsa4qIxynksgG5bAMA7W0wbXIXd92xGK0NG3G9d4jTZ89z7WoP/QNDHD52mr379vPue5vwPMmqlSt56P41zJkxnsD3EMKkZnnltS1cuHSFf/3EV2JHZePEnKMclSirMoEM7HjVbNxymAsXLjNuQifnzp6EaAhflMj4IVMmjWe4WOYfvv9jxnV1smb50lHbIYoUL7/2Hp1t7XzqvnvJBCMjuH6XxTSzYFx9Lf/0609w7epVDhw6A74HSnDi7Fn+9ke/pKbmq6we5d0KICsld65YwVsbttEzVKSxkLvhM91S8tD0f+MwTndTu2Nxuy+3q1HKKCua9AkewguYOHkaC1fcRqG+8RMJdsCYLiZPHMe6dSUyGZ8jRw7z4x8/w+w5s2hvb6a2poZMxieXD2z2ZM/43Fjs4OPFdGTWy1CTydM4u5FpU2axZPFKnn3mebZt2QYITp05zYkTxynk8xZ7CKZPn0Lge2bxUGbRiTNxx5NWNbBxE96Nhe5glMVZV31ww29Wg6hbK2mwnF78stkcd9xxB6tX34bvS2pqHSUfMa67g3/yx9/kyuWrXLp0Gc/3aWqsp6O9jXxQsAksw4rnHbncp2pbzcKMAdJHzRwar9OpxqoAS2M/b1UtKqmZm5TqujnwW31p4TR7RivORCrMgu15PgcOHWLf/v3k8nmampsQwoSnOuxsdDckUjsNFqN/VCyWTD2Uc5rWVYAnmSmc244JD3ePnWZ+7L1U+hqjv8FISRsCr1OnWBCTAvuGPXHZzQP8IKKmpoDnScpRZKPgXFtWAluNSplBE50gpVJpP7Q24AYTpm58sBz4cduepD6uTp5vzLFCGKDvS+O47Pk+WmiCwKe+oYGamgLNzc3U1taRz+fxPI98LkOQMUBJSBmn9xFCkFg9ZPw8KhJx94wZnbifCOPDJTVapQNPFFp7pNs/bQbT6YvYt6yq+qFQbo7SDA4MGn2hKrxjIqoiXn7tXY4cPcaTX3qc7q6PvvEVQjBt8nhWLJ/H2+9sYMa0cQSBPypLWL1Z/Uj3MzeN6+t5ks7WOjpb6wDzfGEU0dPbx9kLl3jj7XfYv38f//7Pd3H//ffz2U/fRU3eZ/eBE7y3cRNPfPHTtLc0Vzy/EILAyzAclc0cKaGnv8yrb2wi0hpPRly5cJJ8UKa+Psvjjz7KvffdwzvvbuGZ557jr7/7PSaOG8ekcZ2Vc6PW7Np/nAvnL/O1L3+GfO6Tkb3A7LsFs8d38eXPPsZ/+M/fp2dQGUmSCE6cPM3Lb7/LjO7P0VaXHzHtCiHobmvh8rVezl26SuOkcTe8340ZHpfvSpqdZTwkUotFSocTSNgfQ9kapIYMmDl7PvOXr8TP5j8RDT1WKUcR+w8eZNGCOXz+kU9x5eJljh4/yZtvv8PVq9dAK3zPI5PPUNPQSKGullw2Sz6XRQool0N7pWQHOzAwyNDQEH19fVy7eo18IctwqUg2yOKLAtKT9PcNcPL0WUqlIlOnTKahoZ6oXDIN6xk7vqPKXUl8HrSdUG+SRd4BJsciuCifSoPk2F/8kGAnFs6Lv10J1KQUFAo19kNjPiiVIpNHDE0QeHSN66Sra5xJaSI0OjLRCsnCleymq59i5H7gVp9hlLYQScoDgclqjRSo0c5NsQkJY6OrLjsaH5S8v/QuM/40ll1P38o4To+4VnVDaBCex7nzF9i+Ywe5Qp7aujyZIMD3/QrQoe1/Hbxyi2OkrDlLu6zl7v7u2SyYjZkwmzfP/V41scffj9kiRgGcRsFYVbFBJpGoZUHB6up4SKXwPJ/AChPW1tZSU5OnWO6137ech7ah2JaVMGxpBFZkMJlYNS7EHNvWUpsoJoVxlhe2jrFStiE7yGZM2+ZyOcJyRC6XJZPJkM8Ytqa2rpa6hjpq6woUCjWGuckEZDNZkxNNSJKEoq5TGIBlTOquiUyPNCAzNRbSmyT3daEROuUkLUBoaUzpIwCPSxBqZnjnPG7m/JH9N8KAp3w2GHWOV0qzfsMOjhw9zpe/9Bk6239zCRLPk6xcsZAtO/Zy9kIPE7ubKZZC9h06yeGDRykWy8yaOZUli2YY4Pkb3e3GRQgTpdva3ERLUyNzZ0zl6vVennv5PV54YR0910vcfecSnn3xDe65dxXLF80c/fmFIOsFDEYKpQX7j17g8LGzBBmfsNxPuXSZtWsW8sff/hrzZ88BIamtbeXK1eu8u/5d/ub7P+a/+5d/QmNtTdwXevuHeXPdRu68fcUIJ+9PQvGE4N5VS9iyfT+vvLUFEIhAgtQcOHiY/afO0jInSVdiIkVNX6wp5BjX1cmBsxeZMbHrhs7Lt8TwmIzMoKXAuOZYxzx3jkomXLOjM4AnUpJcoYblK1czYfpsE6nwCWvo6nLp8hXOnD3DU1/8IlOnjGPqlHEsX7mQ4WKJ3t5eBgYGGC4WuXDxIheuXqanv5+r184QDpeN/rcg1swAu6uSklw2Q3dXPdOmtJPNraQcCd566x36ewe49577OHzoCBvWr0cKQXG4SPe4Lro6O+2uXiGdyKCdTIVMJmUX5n8rDM/vpVTB8oSTSn4KuxAJodFK4CCDsCDP5Qmyq6L93Tp6J4aeUe9H6rN0P7314mgJB+5TZtx4Oz3i7NFxU/VfN3hdY71Ld3iETk8F2yUq7u/5Hn0DQ2z8YDORUvi+oKaQo6GxkUJNjQE9Frgk0VnJDU0OJU1YDmNzhkIncvMIdJQ8ttPpMpg3ATeuntV5xJx5SmnL3Ngva42LTE9dwxxIi2HG9fQCPAWBb0QCa2pq6Whv5+rVq3Fkkrb5qewFjUlLOLOYtvdPbppKeGHqFINfhZTaMmIhKgqpqSlQV1eHlB75fI5sNkcmk8GTHnV1DdQUCtTka6ivr6NQUyCbNwxO7MjsVJ+BtHp1wq6Y9lFKx33RtIQD/klbapdjLg4pN8KdlcyP+b4nnexEPELsD4Oytf09GbOVeklCgA6N0nn3uDYjJ5EqWmv2HjzNpi17eeLzn/5YwI4rDfV1SCHZsmU/A4OTeOPN97l4/iKNDY0MDg6xefMutH6cZUtn4Y3uHPexFyGMabitpYn77lnDCy9v5Sc/e4EdO/cyaXIrd92xDM9P2kgDxXJE/2CJhtocvhQUPI8hpdm84ygDg8O0tOQJ1TU+/chq/ps/+ee0NrXFJq9xHS185vHHuHT1Gq+/+Q4TJ0zk6098xuSW0pqtuw5QqCmwYN70T+QaIYCcL3n80/eyZcchrlzriWeZaz3X2XvkMEtmTqLW+hwpYDBS9BdDPC+gvb2FXXv3c9+yeQRjaBnBLTA8UpidrFba2mmF83VNVdXu8OJJQ6KVoFBbx6rb19I1YaqJxPoDKEODg6hyyPjORO1ZCCjksxTybUAbAHNnz0SjY1l7rbQNOtbJZJ8qUgp8zzftKQRD5ZCpUyfzN3/z92zfuY0H73+QoaFBdmzdyoplS7ly7RqXr1xm1qwZZAs16MiEw3qWlhd2ITDA0wbrxrtmtyimFqOUn0RMb9tz4u5fuVFP/ZIeIGrEZPdhStpJOO3Im9r7k0yplQulcgsyisjFimjzn6ROlU7EH62WoxQhUq2R1HvMMsaHIw+PpQA0xqSUxjEV7ykBGO6n2fEb5q9Yjvjggw8YHBpEeh7ZXMCkyZPo6OygYCOZPM9DeonPTbr/Synp6uxk974D+Jk8SGkXX8s0CBEDkIq+od159u0Iq8yb8gGK36/VmEkLEsZMRXWr6fTP9MIr8fwMOpIEvqJQELS3t3HgwH50FJEk4XWiflVjRGB9goh9f3DnSSwTAs7PTloH0ZqaPLW1tTQ1NVFbW4sQgkwmQzabtaAnSz6XJ28BUCYICLIZpC/izYuQdjPjgJXDdtY3yMy/xCDFDVbTstZ3SYvKsa8hZmpS7eaAko5NdpEFtsmn7gJaWb8fO6+MFrCotEIT0dLUyIzJEyoSh2rgel+JXz77HksXzWPS+I9XSd/MrQV++ONnmDJlHGvvWsFXn/wUNTU5okjx9rotvPb628yaMYGGhpqP7b43K1qbRJk//flrXL5ynWJ5mOMnjjNzVjeZlGOxAzs/e3ED767fyaoVy5g/axwzp3RQCjUfbDmI0opScYg5K6fxz7/xJE11jXEbSiGozQXMmj6Zrzz1Jf7sfz3Pz3/1PNOnzWTtivkUy2U2bd3GvXfdfstyAb+XIgSzJnbw4P1r+OFPn0Zr00alUomTp09zvq+X6Y1NIAQBUOdJBrXkSk8JrQPOn7tAf7FE/UcFPC73jwkZsMMqkijpWR0C6xyozSDw3OSGR0tbByvX3ENDS8fH0xi/o+J7HoHnoVL6FaMVF30iPcmH7UMayAcBy5csYvirT/Kd7/wtb617iylTJrNt62au917n3nvv4fjRo+zdu5dZM2dSU6hJFniNDWPH6H3ElXLsW2rVGzE1OVXZquM6WeBSywcVUMTuFlP778o2uQlhHJ8vsJOzAS9A7AOV3HdsOJHc3aA+u2+364BMr/lVdf+IJab0K2s2Zg1H8wOC+AGr2ZeRIeWpsOaq749YaOwV08edOco0j4lg2rljB2fPnSfIBGQyPuO7u5g4cSK1NbUx0HEKyyKVrdr9VCqkq6uLM+cucPl6L0GQBenC0y3ItMKKiZ+OjNsixjDSmDZClTJLpoQYdWwktA1gzVDp645shdTiaoGKh00jITw6u7poaGzgyuUrBsQgLEiOdwax+TmRFjDMrMnZpdAYZe9MEOAHPnW1tXhS0jmui1wmQzZrFL+11njWMVkKOz/4AZkgSzaTwffsZ9JDer5lXFQy0txGBlu/NLATDuCLuDMkfVEjtE2UWvFcjhlK2F+dCKYAIKW2myRJ6DZBcedL7iDQyftOtbwGsvmACRMnMmNiNzWpBUdrE1L9xru72XfgGGtuX8H5S31k/ICaQoZ8fqRI64ct5TL0XNfUNRb40pMPsmS+YXKEEGhfM3fuNNa9+x7DxWEa+N0BnjCK+Mmv1vHCq+tpbm9EUMelC+fZs/8Avf0DtLrQfQ3bD53hV8+/TWnI4+e/fIMfl4ZYuHAuvp/l4MGjCCLCqMzqFbdVgB1XpBTUZCWzZ07hkU8/zE9/+jR//d2fUV/XiJBGl2r65PG/4UT42y0CyHoed66czyuvv8nVK8MIKVFhmZMnT3Ly4nkmNzbhepcUgsa8T89wRDaTobenlyMnzzBu3swx73FrPjyxPdd+YMdARcI9KfGED8Jj4pTpLFp1O4W6hk8kfXajIoAg3un89u6BEPjA8mVLuPrF6/zoxz+lWC7iBT5+Nsu48d20t7dx+tRJDh8+REdHO60tbWhhJhCNiSqXCPA+DI/hnCwrF7SqU+KKVoAYnQBfY12To3zpRg89yjG3OMZhaPagSFPslV+uAGTCTfyW/RFjMCajVG+0UOkxqy8S34hbK1W1SLdzer3RlVUTEGeoH+GvU3Xp0aqehj5GwM7n2PETHDp0iEwmQ01tgc7OVsaP76KutpbaQoFcNkcmm8G3phWEYzjiXmIYTAkLF81j2/bd9A0OI4XRjzHRQTquk/P5MeA73RQmaWmoNZFydXWihU6EMTlGfM0btXrlYmlIGqd9Y3NWeZK29lYuXrpo9VHMOe5Zlc0PJISwUX/muvlsDs/PkM/nyOfz1NTUMHnyZKQU1NfXkwkCE33leUbDKIri62DFQ33fN1Fa0ksEBwUGYHouIWz6xaa8Y+yYGOGYr1PK9ylwEws0ptrADfVUULTJsg5xXbSyww3ilAHOzyc5z70T4v5rdGkKtLW3MHNyF421+diHU2tNKdScu9jL+5v28+tnXqanr5+//M9/R8YLyAUZurtaWLJ4BrffvoCO9uYRATG3UpTWbNpylH0HTvP1bzzI0gWzrHmOuO5CCILABJj8LooGolDx0qs7+dkv3iSfz9PUUsvECeM5ebyOY0cOsGn7QT51z3IEgmIY8fyrm7h4sYdCoQEVldA6ZNv2HRSLJl1JLutTDksMDZcqpo/4OQEPQS4TsHbNHZw7c4VXX3uPP/vzv6WlpZ7lS2dSX5O/yZb0E1AETBvfzpLFi3jj9U0ILREi4vq165w8fYbhaTMI/MCdSk5CXc4nm80QeD4njp3kzo8KeKIoijuM0V8AMP48FYNBSqII/KzPrLnzmb/sNvxM7g8O7AAUCgXqauu4erWHlioP+o+jjJi6vYBFy5azZcdu3n9vPVoIZs+fR31zM4QRza2tjJ80iS1bNnPm/Fk62zvI+L5JqAigY54tXjRuRQPnRv4+8e5Nu/9UPYBwZ1V/P4WUblhExe8xjEjTPPGkepPraceYWDCmRjJzo9XU2b5vVrvUF0YwWuknqL5A+tJujz1qjarPTW2dR4tuG72kkKMtEoEIMly5ep29e/eRyeVobWuhvqGGaVMnUVubp662hkIuTz6bNcyF54GXaMW48Coji6BQUYgnYfHiBZy7eImrV3splyLCMLLJLCOrgOxCus0zKIFhapQyfjTST1XZAlW7kjrTCSSA1Kkqj4ZaRzjP2pxY2nJFCoUWmu6J4zly/ChhpPA9kzPLOWDrSKF0ZLIyexlaW9vxfZ+uri5qa2uoq6s3kZRSEgQBsQKZTgIFfF/EmiYONMSsigMWQqElSOkREtkNS0p0UDsAb/rHiIVNuAU8MTsmTvtJCLmwPSAhVFOdykzX8d9SJhtWIcHDeCz5UsaA1vM8hCcQnvXligT5fJ5sNmD61E6a63L4dk7QaPoGQg4fv8Q77+1g+/Y9HD9xhHGdrdxz1zKUCBkaGOL8mTNs37WRzZvf4cWX2/jC5z/D/feuIRPcshYuWmsOH7/GX/ynXzEclpk0eVwF2HHn9PT00NBQTz6fv+Vr/yZFRZp33jvId/76F4bJy0Tk8hmampuJIjh79iwvvf4e8+dMp725nit9RbZvP0qxqJDyGugQDwi8gEwQEZZLRGEJTZFX33iXxXNn0NU6kuUBI5BZUyjw4IP3cf7SFbZu2cWli7U89aVPV5gZP6lFAAVfcvfty3nnne1GjkKGlMolzpw6Q//wMHW1CYMohKA265mksQ2NHDt14YbXvyWGxyRmtPljhMZDoKVEK5Wo23qSRctWMmP+Enw/+ERTZzcqra0tzJo1g23bdjJt2mS8avnI36CYnWwSvFoGQiVQWpLN5wFJa3sry1euolBXhw7LaK3pzOdYU1PDnt27OH7qJJ3t7dQU8kg72Sm3o3M7xIodrzUQ3OL7qDxLjbrQjjAoiCofoQ+9jxhtv+IcUsVo69yoRbsGrj6OHgHcxGhJKu29q5vKLFqjmziFvklkXEU9kt/Szs7KYZ+4b1ifDbepGMtENtZ9tEnBMTRcYvuOnZTKIe0dHXR1t9PR2UZ9bQ2FfIZCPkc+myMbZPB8z4RKez7CS3KXYdmbSGuUjoypV0g62ltoqKunr2+QUqlMGCmUyxquNWEYGV8dmaRKMck+M5SUIFTYtAcJi6Nseoa0f49SJpeVY09cxvmkz1iTkwNEQiOkza4uFcKX6LKgubWFiZMncf78eQweMakeOjo6qa0pUFtXR2trC1J41NbVW7NTEgJeWbwkwinl2wLmp+f5VnbWbhYxqQ6k53yUrLKxs2fgIrJGmhIBY/ayx6Tn2zrZ77u2StVOyGQu8DzPmCzj/F0mxsr3zXGBh5Dg+xLpCTLZAGGVggM/Q0/PENd7ewgCn86uDhrqatiz5wj79h3m3ntW01ZvdE8iBZevD7F9/2k+2LKXU6dOU8gZ9ufq1dM8/vi9PPrgHUhPMhiGXL16iTOnT/H+u++zdfMhfvLT5+ke183C+bfmVKs1XOsd5rt//zy+L2ls9qmry408Dzh0+CQTxo0jnxvbt+PjKlpr9h84z1/+5Y+4ePEytY15Jo/vpnvcOFBw5x0rqKsr8LOf/Yr/w//tr5g5YxYCn5PHTqGJ8NAIUTYq1zJjmEqKRFEZhWLLlq38+X8O+Jd/9BUmdI3ckAtfIn1J+7hW7r3/bk6fPs9Afx9nz10kmj/duqL87suNOdrqA4Lp49upq6/j2vVBI/OiBFcuXGJ4aAhq66oursn6AdOmTGPHjh03rMcNAU8YhoYGtCqgiDhPdzzQwnJEvqaGu+57gInTZiFvkKH1D6XMnjOLX/3qWfbuP8T8uTMZbRH8qCUEBouaUqgolYvs3rOPF195ib1791KoqWG4VKJUDsnlC5RLw6AVKlI0NjWzctVq9u/fy/79+2htbqS9pcXsgpWyE22ykzNmK2Jfo/R2Uacm6DTTcyvgSAgxhouKqPh568zYGGBn1OO3UkYSvprRmZ8xa5RebFJgbuQzCSvVMMpwHkm6VH5mf6kOYI9NOXazf+s2NLf4GVNgpGHXrt1cvXqNcRO66Z7YRWtrM3W1eRrqagh8j1w2Rz6btUJ4Et83InnCaU3YiqootM8PoBBKQSTwiKjJe2R9QagUkfIJQ5OxPPSMM3OoQ6IoJFIRKIHnZxkeDCmXE/bDDzwC38fzrfCFEBZ8eZWAIzZdJq7vYRhSKg6bPFcqMhFT2MSeNvFmbV0DkQq5664mBgeGGC4OI4VPLpelkC9QW1uD5xnfJZMoVMZmxbj5NRWmYNfP3OfGZ0TGzKHGpt2xTuDSMuOx15UFbca0ZsKlZRyKTqUas0ibwnw8z5hntLZaVPYaOjZqWXmMFDBUyjh/FotFhoaGjNBksUixWCYMS2SzPguXzGPZ4hn4UuAJk/rhP333Obbu2MaDD93D7NkzECrktVff4vjxk9xx+1L6h0LOnL/Olu0H2bX7IFd7e+joauNTD9/OgrkzeO3NDYThNe66fQmFrEki6fuSqD6PP7GD5kcfZPmyu3jm2VfYsm0P8+dNM/mTblLCKOLZ59+nqamGLz35df7uez8ZwWBoDX19w+zYvpsvPfHob9Xi4Myy/QNlfv6LVzhx8gSR1ly6fI3m9jzXLtfRPqOFc2dO8e66twk8j/NnL3HuzHWENGOoHBYJh8tILzLcpCgTBD6+p22me/NO3n3vA65f6+df/vFTzJ05MTHTCkE+8NAyiywrusZ30djShOdJnnvhVSZP6GLJ3FvPLP5xFyfOG893OhE2Tq8eGmiozzNl4kSuX9+Pj0dWBviRJiNHbjBDZdjlBfPnc+H8+RvW4aboxOlsuAY1DnEKISRhpOkaN5E77nmQtq7uP0gTVnURQjB18kTmzpvDz371LMXoMRbPmzEiudpHLZFSXLnaw4aNW3lv/XqOnzhOEEg+9dBDLFu8mB//9Bds3b6NmbNnIj1QYUhYDlFaEcgs8xcspL2tna1bPuD4yZN0trWRzWRMR1HaCSHFOzkwfILEshqOetbOadPlXr/1dyfT4GnEp+7DahPOrZVKpuhWzksXx9pUgRvnd1B1aAQbVAX84kOx2SB5cNeyUXxe1WSbYm1Gxyw6vk66Zwmc2cJdxDmK6uSEakAXL2xmAZZ+ln17D3L6/BlaOlqZNnMaDY111NfVUpPPUcgZE1Y2kyEX+JbdkQSeyyBuruvMU3GuNcuiuIxLghBJiHQOwGhwOaWcs29UQkVlonJEGEF5SPHCs69z4XIPAusbZFWInUifiSIzkUzZXI5CIU9NTS3ZbDYGQr4V4gu8AM83zFQQGOBmnLB9gmw+Nvt6nqSlyTP9XbicVgLfN47FDkwJPHw/k/JLStp/NMg84r27vlbF2BhqV8cMlrBvXqMolUs2YauZH6IoQkcRShUpl0OiUBGFIVFkfKDKYUgYlhkeLlIul2PgMzAwYMBmKaJULjE8PIxSxuRYLpWNuKRdckIrNOn7PuiI2oZabluzmHzGto3WHD11nXXvbqC9o5XW1jaOHz/FtWv9SM9ncGiQV17fQLE4xOXLl4lUyLTpk3nksTtYOGsSdbkMPYNFjh87zO23LaWt2eR5MnwW1OXryPoZWhoFkyZkOXLiFFevXU3NYWMXrTXbdhzlwKGD/NN/8gT1DTVITzM0VKo+kx07DwKCCeM7f7vrk9YMlhRXe0pc7+shkxGUopD6ulouXziNL8tcvXgKUPyTb3yOhsZmvvM3T3P16gBCQCA8evvKoMvoKCTUGimMmrewQpVSeChrtt+5ay//73/3n/nSFx5lzW0LaG8xOciyUuALj4IvOS405bBIc3MjR48c4q++8w/87//bP2H2lHG/l7U64WShbBnfclnFzLzWGiIYHC4xOBzR1lhHhiKNWZ+5s2fz2EN30d7QOOK6Ttx0xuQ2Srcvv2Edbhyl5Xa3Oj3RG7ZAKc3kKTNYc+9D1DW1/qMAO654nsd996xlsBTy8188x6lTK7jvrhXUFnKWLr714ibOoaEix05fYOPmnWzc+AEnT56kqaWRu9eu4Z671zBn+iRy2YC+vj6eef4lioN9NLc2MzRYQogSQgpUqNBRxPju8bQ0NrJp00aOHz/J+PHjqK2pJVImUsMpzrrJOuUWEeecArM8pjxoPtRzpb8HUBn19dHATuV30kzNrdEco4Kd+NspzYuKaJzkWNq8MuIa2l2l2rEyqljYRrBDqd+r65po+VDxHWcmMc6fxKyFOTcxY4wsEs8LOHv+MoePHqemro658+bR0tJMU1Mj+YIBOhnfI5fNkvE9skGA9ASelDbTgZU40NowOSLxFatqkeRJhBGtM3WNbL6tCJeOw+Q6MCYulCQqFREqQisPpRQq0oRFA+rNP2GAgdWfMo8s7NjTCdhWFsxLQRSFxpSktI2AMkyX9GTMiJj29ayZRyKkeT7fT/JaSRHEbyT9zpQw/26lJ2oliCp1/MwVI42ONFEUUS6XYj+nchRaf0lzZhhq0BFShPExrbR1LrZpIKQwgFKp9JswWdQtIy09aTJnWydkp48sPMj4pi950iw8tXUZurs7GETgaygOK3793AZK5Yily5bg+R679uxm7tz5PPDwXShR4sLlM7S1NXPnXSuYNX0iU7rbKWQ84wKhYe/BEwwO9rFi2byYfTGPI8h5AVkviEf6+PEdbDh5lOFSmdob5MTSGi5c7OWFl9dx/723MXFcM8OlkCCQ9PT0AOPjc4eGy7z11gbWrFlNbe1v139HYwRRlYoIAhg3vo1QlSgW+wmjkIvnjrF4wTz+yR99m9nTp6K05sCBpTz7wlt4QlKSRUqlPqSnCQKjNh+qMkrblCN+EEf+aSnQQnPqzCn+/V/8Ne++t5TPf/ZBli+eRi7jm3ROGs6ePkNDQx333X0PO7e38f776/kvf/dD/s2//CPGd3z8/qk3Ku5OPi5TH5S02USEkaJUKlMOy5RLIb19/Vy8cJWMHOS2pVO5586VLFs0l7rCKH7Bdhqvqc1Rn/VYNGviDetxQ8AjZeIIZ34IhPTwpM/0WfNYffeD5Aq1/6jAjiu5bIbHHr6f9rYOXn/9XbZs2cGa21cxa8ZEurvaCALLi1S3v0WuYdkwOZeuXufggePs2r2fw8cOUY7KtLc186UnHueO21cyvttk2fUwlPXKJQt47Y23OXDwEPd0rYa8MTkUSx4qjEBFEEZkMgF33X03hw8dYtvWLTQ0DNPS0oTvmbBspZKcQmBggMton/aM1bqSkxEiUXB1DtAjhOh+J+VDgh2dPruazqkGNmnQc2vH3WVDkhsZXwwxwtcj/fNGYKjiaVPs0mhmRndsbGYLpJfh6rUBPti8mzDKMHf6fBoa2mhqbKKurkA2m8EPfLKZgHw2gy+MGdSYjkz/UFGIiiKbK8tpwUh0LGfgxWZUrRNznKm3GuOfEcrTkQE/Qpssz0oI60BrzpOWRfYMTeUahgp/Lvd2tbYh7iYlhIvcUJax1GGE0hCVI8qEcRthhQ3RCjwF0rxDpSqBnXDP5J5PQFQFeKp5zLiGwgOdMKzuuIdEaqvW5QQbBQiRiU2YQgqEIk4hYY5LEjOeAXwabdSltRMkFa7SCXOrSaRFsMKdNhWGwJrcJKAVXePaqKurYSgyivo79pxn3foNzJk3h4mTx3Pu/FlqawvMmTOBQj7DqiXTCJUmk/HJBz5ZQQy0AEphxDvvf8D06ZPpbmuq7Pv2vcZHtKaxqZ7r/QNc7xugtjDSF8e98mKxzE9+8TLjxrVz+6r5MbALAujt7UnmMq3ZvGU/pVKZlcvnVbyL30YRCHKBJBMI6moz+EGILpcoh71kMoJPP3gvX3vqy7Q0m7YQGh68dznvvPM+w4PDLJg7iys9Tezdt4tIhXbyFdYsq230YIYg8M04lALhS8JSxJatOzh67ARLViziyS88xIyJ7RTLETv3HmT16hWsWL6AyZPGUS4P8cHGTfzN92r403/2DZrqa36n83r6ToEQBBJURhAFklIgCUOJzge0N+SY1t3KbYtnmKS52STXWHWxsxQt9VkKvqCm/sayAzdleOKdjzR6GFoL5i5czMo19xFkC/8owQ6YZ89lfO68bTHTJ0/gzbc38NzzL/PrUDBlyhQ6O9poaqyjoaGBwPfRwPDQENev93DhUg/Xr13nxMljXOu9hNIl2lpbWXv3bSxZOJfpUybRWF8bixCmS0t9LSuWLmHXnn2sXbWUQj5LKfDxfElYjtBhhPbKRGXjnzBtxkwKNTXs2r2TM+cvMK6zg2zGt5mcExZDkzKzxHdzpgoR8yICkSScROPC0GVqEa5oJ3dxO5mO0pKjtm/aRKOTg1V804361hifjeJgFC+Q3BrQGe1zk/NJjXKeuZ9brIVIsl6nx081+AG3oRgNDN3gsUcpQprw88FiyHsbNrN33xEy2TxNTR10dkzAD2rIF0wyykzGJ5sxoEcKk+VbCmkjL20EjydBRajQOg0Lywy66CFtVWK0sOCHlJigiusfR1kp+14cc6WtNd8ihphdc0xWhSOuuW/SL9yyLxAYkJQgD9d3bd4qYRig+HvC1EMknZZ4DHiOmdA4cUH3NSfMfKsMjxDKpkepOIqMzDOKypNBpnPCRfGoFUIbAKN1wrSlKwZGrNBeUVk5ABferS3QA5BCx1IbSkcWPCvTr9FMnDgR4QWoCHr7yzzz7DtkclnmLZjNwEAPnqe5a80qmmuzJpShJofELCBuEYlbWmuOn7nAiRMn+SfffOLm7gBC0NnWhtKCnt5Bxne0jHqaUopnXnyDK9cv8q+e+BrZwIufNxMIBocG43Ov9w7x7LNv8dCDa6iry33oMfWhi4CML+hsrWXJ4tnsPbALLxOyctViPvfoIyycO8cksk1tfrrbG5k3awbbt+/h4YcfpH1cEy++/DzPPfeMSZhsZRWiSFmzpWXubHCBJ338fA6tBdf6+njjrfUcOHKcRx6+h7q6OoYGSzy4ZgXtzXnqa7v4/Oc/w0BfP+++u4Hmxia+8eXHaaj73ad6iu8mjA+kFBgCIcgm53yIOhUyngHcaRA9RrmpD09sV5eQz9eyaNltzFuyEs/P/KMFO64IIfCEoLurlSe/+CnuuWsV72/awbbtOzl15iD9/f2EYQgYGl0pRblcpqWlmVwuw+Rpjdw3bSlzZ8+gs72Dhvo6fKdzUnWvePqVgnlzZvLq629w7sIlZkyZYObkrImciKSHkmanbYTiBBMmTaKhqYE9e3Zz7MRxOtraaKiriQGES0uRZgkq3l3FRF4JkuzHMWgYsVNLt9eY3a3yuE6ZJZKDt8bkjH3dVL3HuFQ1WBkL4FQfd6ydIwbipVeBUxcOjRNIPLEKkbSHJ03UkyeFjWo0F/M8E55tcJN1LhcO6lWzQ2M1gQCMc+zx06e4eO061/v66T19nrNnz7P/wAFuW7WCNWtWM2FiN7lcgWxWEvgGoLrUHOjILMYuQCF20DXsjulJHs5JxbFbJpDZJNJM0kWYc5RWRvNFG4reYZowjCxjYQLHY+CEM405sO5+pEB74iRjTW/mk6StEof9ynbSVf1X2Lp58fVVHNqdAjwi1f9v9B4qXkmqXePLGFAqVZW5RoCSZYMHdToJrAsPSdrB/GUdPYW9qo5bxsJAo3TvQGXCwNlQAOFy8lmtJQG+HzBl8iQQkrCoeeutvezdu5e771lJU3MdtQXJkjnzaajNG1YOY5ZIWq5yJIZKs37zLpqb6pk9ZULVp6O0F1CoySGDDNd7elMjOSlaa7bvPMrrb7zDP/9nX6OtNdF4kxIKNXmu9fbGrNz693dTU1PLqlXzb3r/j6M41srzBA/cewfTp08kV8jR3tJMPjt6ok7fEyxasIB172zhzPnzTJ8zidWrb+P9De9y+dIVyiUoF4toba6rlPGDE8poRwW+wBPGjO1JDyXg+Inj/NV3vkdtTS13rF5JY20BXwgash4zpk7iy089yfe/90N+/cwLhGHIP/v2lyjksr99QHiD4truI31XQM0orgFjlZuatFyUTyFfy533PsjE6fNiwa7/fylCCDKBT3dXG59/7D4e+9RaBocHuHjpIv39/ZTLJrOtlJLA95k4aRKFfIFckK3Y3d/wHsnNGNfRSn1dHYeOnWDG5PEEwkxlXgDKk0TlDJHnoSIP6XsQFqn3G7lj7Ro6D3WyceNGrl69woTx3caD3y4izkSZNpfEZpKY/RkJiNwkS+qzkSrLaeBQbeq7pX3xKOdV7WkrkMxo549dblVk0C0d7hZmodBxdEFsEdE68a1JXTuJXreLstZAmGJKZXyulKF9ChfhQ2xxNIyRTMzKEI9FKt4NIKHvej/nL11i4pRJTJ06gzNnznHm9BlOnz3Dz391inXvvsvCRQuZN28uc2ZPZcKELurq8mQCz1xO+IAy/jZExl8k3jVZfScRWsbPplewvIvSxo3Zufu59nFLfgXIBHsN47+ilMKlp1DW76fyXSV9SamRn5l2Mb87TRnXVhVvVVeqDZv+ahk2u8IKbVLpjKW3dKtFo43pLsV4GlAXokYwpY6REvEYNE7NylBKlpVKfehWCKqjGR1zFYNC1xm1ew9GTw0LTh1AzPlZxnV1o0I4efIKL734Go2NtUybNp5CwWfxvCnUFbIgjFhqtZN9xbNrzcVrvWzYuJnPPfoAtflbW0zrCznaOto5d+U6SuuKSC2tNcdOXOE7f/MTHn74XhbMmVERkSWFoKuzk8PHTjFciui9PsjzL7zJU1/+NLU1we90qRICstmA2TOmjnmO6xVKw+lzV7hw+SIbNm1g5pxJXL56mWKpRK6Qx/dDago5isWQUqmMIrJZDzCblVCgPY0nLMj2BJmcD1oyPDzMBx/s4Ecd7Tx070q62mqpz3rMnjGVLz7xWf7u7/6BZ194iZqaGr70uYdp/D0wPR9H+bA1viHgcY5+zS2t3PXAI7R3T+KmGbn/ERdhEbznZcllszQ3NNtPqhfij1400FBXw4QJ3WzbvpMH7lxlHE3tvKw9gZJQDjyiUCI9D10GPNAqYtrM6TQ0N7Fty2aOnjjF+K5OCvk8blcudcIcxB08Rb/bYPaYnUgEzpLn1PGEm+xiR0Z6ud9HLh6GNxAjDqbPTLDJWIvPaMct6HAgLr7WrSsqAzYdg04W7qqvuutV3MMeF9o579qAc7uYxudaRON2NTYw2fxLUC94InaQ1/aZpBB41jRU0fKeprd/kPZxnSxcuIRCTQ1D/UNcvXydk6dOc+DAXk6cOMG6d97mvfXvUldXS3t7Ox3tHcyePZ1ZM2fQ0NhAU2MtDQ0FfC8DwkPIMkKWjOAcITqSNmw7JEQSAaH2iLRCac+Cn8iasDD6Qdrkr4qXSWF2p6VykdDmoNPa6exERMrqfSnXxom8QrU/U2xCdN3YOusbbZkE+Ji2tlDWgTjhcn8Z0OB6u9JYR9/KbiVEstCbZKYWhFQxOTFAE9Wg37ExKp5DhUiNIevTU9HVHGCyLJ75NeZsUqa5BBBZriqut/vFpSCRLhu8MKx0FCmam1tpamqh91qR5599jWvXLjBn3nTyWc2imRNosWBnNDanuigN7208QBB4LLqB4m11yWUDZsyczpbtu3jozhXUFTLmekpz8PAZ/sOf/4D5C2by8ANrjEBmupmAqVOn8vpbm7l4qY8339pMZ1cry5fOMmPFAu1yWTM8XKJUCslmA2prMglT9jtY690UGgHFCHr7Srzz/nqK5QGOHD3IiZMnqKsvsGjRQnp7e3jgrntYPn8uh46d5G/+4UccPHyESJXNe1NhvGGItEJoHx8T4Yg27uk9fT18/8dP8977W3js0/dyzx3zaarJsmjRXL72ja/wy189za+ee57rvT38yTee+J379Pw+yk2UljVd47q59+HHaGr//YSy/WGUj7ddfN9j/Lgu3n73XQaGi/h+EPsquCnS9wShhLLng19AlCXlUpFQa+ob6lm9Zg17du/m4L79tDY109zYYLVFDOMTK+mibSJS6yyLQGGE6+IprnrBH+WJK4+5CXhskDEynLd65+sWt1trM8eOfDwlWVjT9RvLmTn9mYLE/KXTi7RddnQlf+BIImnc1uOH0SnA4455QiAiC3iEdUSXAXiQr6tj2cqVNDY1mwgkDaXJZebNn8UDD9zJpcuXOHPqNMeOHuPCxfNcunCFHTvOsX3HNjKZLIGXobGpiUmTJzB54kSaGhroHtdBa2sz+WwGITL4WZBeSDToEamIMNKEkSBSkkgplPLQaT8flWLDlEJFUA4VkdIMDA6Y6Ixi2X4eGhOVBUAuC7t0GiNV+htpXxX3DgyQSRtaSJg1y5a5tpdSxCa0OIeYELH51zmjO+YlgRzuvdp+IjGirPYtmqev3CzEdQHwHGixMgcpvKSd0GcaCNnrOoATM4mOhBTV4yxG2K6yFXuPSqkBE1U0ZfIUioOCF15+g21bNjN1SheffmA1a1fNJW/9ZG6laOByzyDvrt/CHbctp725/pa/6wEzJnXzyouvs/fQKVYsnEoYKt5fv4fvfOeHLFk+h68/9WlyoyaGFNTX1HH54gBPP/c+W7e+y3/zr75BLhuglObk2R7e2XiQDRv2cfl8D0MDvYyf0MEdq+cxdXIHs2ePp7HBSHv8Nta49NspA4NlzVARzlzo4fz507S0Gv+6c+fP88Ddn+OelYuJwpC6fB4pJRO7u5g1Yxq/fPYlnn/pFS5duYzS0opbYiICVZlIewRBFt8L8P0AEfgoLTl06hR/+Tc/4L1Nc3nkoTuYNXsqs+fP5ZstTbz66mts2PoBQ8OD/PE3nqS7vaUC3P5jKzcEPLPnzuf2ex6kMEqysv9afntFAHNnzeD119/k+PHTzJ0/G087J0wz2RkbusDzAeGhdBBPhpFS5D2fZctX0NDYyO5tO+jp6WHC+HHkMnmb3d2aTRCxYnMyMwpLf0vz8xbrXWlouMm5VejkRhFINwJOyfVG/u4WpQ97XbdIV//u6n0jnx8VL/KjfGbvW+EjpMwiH6aYDAAVUmG6ihd4Zbi0CPAzWXJBFiVhybKlTJg8AbTGl5JAWjNR2Qj/dXU2s3zxPEATlstcuXKF3t4+zp47z/Hjpzhz5gKXLl5m165tbP5gM+VSmUIuR0tzIw2NjTTUNzBz5nTGdbXT0FCHUiY1A56HVgaAmfB2CHWEkAolSoS6RBhGFIua/sEhrvf2cb2nh+s9PQhk/K6kZ96V8SsSZHyfIJPBjxObjmSWEzOgAVTS5qoyES0pMyMm9U0YqiTlhTaKzNJTicChNL5NThlaSwMWHKhIXrsx85lho2MAQzyOHIuU7m0CKSxVJFKSDhXn4Oij5L7VJ8aMktuMuN/Toy8ZANX92D2/wJi0wjDE831efvlV3nhzHeMntvPQ/Xdw58o55DP+h1r4tNZ8sH0PYXGI25YtHJHm4YZFCKaN76SjtZn/8jff49jdd3D82Cl2btvFvfeu4Utf+jR1taObXYSAxvoCSgv++rt/y8MPr2DOzCkUS5pnX9nJf/jLH3Pm7BWkFfjzZcSpcyfYtHkLmSDD7FlTWLpoGneuXcb0qa0UcplYePLjKprEAOn7UJBw+PAh8gWfP/3jf83GzZu4eOkSGSmozWYR2ZQDr5RM7Grnn37jSdasXMqPf/kM767fSClUZmOkBFoIwrKRLVGBIAgEnm+YYt/ziLRmy+7d7D2wn0WL5/PQw/fQ0t7GA5/+FJOnTmHdG+/w53/9A578wuMsmDGBwPc+1Lv/QylC34DrLxeH/mBzYv2hFoWZnC5fuc7/9f/+/+LOtXfyuc9/BgUEnog1DGxwK2DUm4ciTalsVGeHh4s2/0oZpRSDfX3s3L6Dyxcu0tzURHNTU2qnKExEiTMRkOxMY+0S3HGIHUzi2qbju0xJtGqq6f7RS2xiGMU/I23aSpvVqos7T1l7SjVQqf6e+dydmwYsdt+vXVSiOc/oyujUoqEr/rlrGsCTOPA6Ol1Zb2f3zuLvKW2PV9r0oqQJknbCAyWNOk0QUN/QiPQ8Fi9dwIzZU5BSkMHtYkYCutEAqTEnhZTLIQNDQ5y7cIHjR09w4uRpzl+4xPlzF7l08Qo6Shb2wA8QUpLLZcjnPHL5gEwQEJWNKriOoFwuUyqXGRjsN4J45ZDh4jDlUDEwPGxoeBtea1SFZRyK7f6ZvFW2ziPmIGfOMiHlBvAkwKjyHUBU1oSRtgJ+kc2jFoH1aREiyWxuzGKykuERGmEdtbUGXEoRTyc+P9oyqCJxCE77DCXRjxbXpMZg8oJEjGEqta1cRF/aMZyK76XbpuK9a20TpGqb70wRWfA3PFyivaObTL6WrvHjuf+Bu3jwnhU0FDIxs3Wr5WrvIP/2z77DjKkT+PZTj3+ovFiunvuPnObnv3yaS5eu0NXRzgP3rmXhgllmAb7BOnStb5B//T/8Bw4eOMD//G//d9y+ZD7f/d67/Nmff59SGOIFEt/XBDLCkyWTYkH4eF6GIDCbxcaGOqZPm8Q/+yefY/6cj8+iUT1jaQ2hUvy7//XvGRru5X/87/8F2/Yc5L98/6f8d3/6z1g4eex7K63p6e3nxTfW8fNfPsOxk6eQIkB4vmE3pRlTnu8TBBk8P4vwvHjOjsomPUxTUwOLli3kjjUraG1uYmhgkNdeeZMTx07z4H138+i9K6jLOZPfP55ywx4ZZH83ydb+a0mKACKtCbJZ8vk8Z86d4/z5y9TW15PPm51HIM3O/YVX16OUYuWKRbS01JPNBqA9lAqQokQoh4nCErX1Day+/XaOHDrC7h076O/ro7u7O5anT9Mjo0dzpZbK1C62khWCjzo6RouWSq5fvXMd6x7p71pTXYXj443OTx+1ZpVqJ45R6jrynwNIuuKbiTOuqLhOuu3jtAX2UBRbJRL2TTjQJD0aGpvxMxnGd3cxa+ZkpJQmRNgRAan/plulughhzGJ+EJDP52htbmLBnNkorSmWyly5dp0zZ8/S29vPhQuXOHb0OCdPnKK/f5Ch4iDXewYolYZQUWRE9coR4Bx/jXNyvPh7kkIuwM8GCKub4/qg1hawCJFKTpyKLqx+ZQKcmrFrS2eKcgAkiRozJmA/UkRRSptKRygVWgVi2xhIG4CgYxwhpYyd/2PWRBjPK+0YuTh8T1jzl90mpMCLu17co0UyjmIypyJsPvV53JvcYbch0FQ2jhi1axvhQivsqCLKYYlyuWxUm6Mi82ct4p777mbNbQuoKQSGsRulv4xVtNZs23mA3uu9rL1jJcENxANvVGZPG8//8G/+KaVySDYTENiErDcDH9kgQ21tLdNmzmT2zBn84Gcb+Pd//gNK5RKeHyJUiC4XCeUwyhsil8tTyLcQqoihUojScObiAOcunqets4WpU75A4WNa8EdAdQHXrvVx8thJHn1sLYVswIwp42lsamTLrgPMnTSOYIz7SiForK/lS5/5FEsXzecXz77Iy6++SX9/Ec/3kVpYRe4yWkGgNH4mQGBYTBkIIim5fu0677z1DkcPH2b5smXceedqnnzqSd58Yz3Pv/YeJ89d4ouP3MWUjkYTDPCbN8MnovzhJ776R1ikgCgsEwQZtm/byb59R3j00Ue5ffVKamszKF+y5+Apvv/DX3D5yjXGd09gwfz5rFmznHFdrTQ0NRD5GcrlLFFUJgpLqDBkxqy5tLa2s3nTBvbu38/kKZPJ57J41tdEShkHAQB212xWK2HZiYoFqGICtkW7o2kQdfNnvnWn4upVb/SS9u0Y7Ztu95qYvxIAIuLoKxHbp3TyYCPqmgCexHRQcTxOIFMt1GcZMJ2+f7WNw9UxWVjr6+vIFwq0tjWzasV8fN/DTy1QH2Vycuyde3dSCPK5LOM62+noaEcKUJFiqFhkcHiYocEh+vv76O/vY6Cvj4H+fkqlElHJpUAICcMikQoJMkZR1zAKZda98wHXewYg7byrHZOoDUuUMkdphwIrGp3YDJX4qLiUDdYPyGZNd6BACA/pJSYnrSVKeYkJDANao0gZnyStkVrG/V1KDCPlUlNgmDmldKIITQy3q6qbEqasbvjUmEt6SAJcKiUkXLvYcSkcQzjibYJt8zQjqSJtTNpakc0GTJ02ldtuX8N999/HrJkTCHxJJBJG91b7Uqkc8d76zcyaOY3JHzGNg/tONpMhm8nc8ve0hovXBjhx8jwtre1s2XmWv/hPP6Rv4Bq5rEboYYQogx5CymEmTW7nqSe/TFfnTP6P/5f/hcvXBizw1whCXnvzRR55ZAXL5kz7EC1w60Vrzfbth8h4AauXLUYArY31rFy2iM0793PlntV01N7AsiIEwhNMnTKRP/1n32blbav40U+eZt+eg6bPOlEtzDiMyhpP++Bb5tQP8LI5okhx5uRFzp95lT27jvDQg/ey+vbljJ80mWeee4X/7//2Y5767P2smj+FXODxj8G3578Cnk9a0ZqwHLFj+156ewbwZZaea/388ufPsv79bSxetogVSxexcdseLvdcRwjJ2TNnOH3yJC+99AqdneOYMXMas2fPYMb0GTQ315HJ1JAJoOyXaPNz3H7nXZw5c5qTJ48xXCxSV1MwCs0W9Hhx7qTIZpa2DIM1VYl0mOxNR4AYsVbBhyWDRqHxUzeuABjxmQ5AjMXlgDMMVqa0S65ecTeNSdI6ysOkAc/IBrGgJmbHLPeRNofpFJiydxcae6+krZWGXE0tjc3NFAp5Vi2bRyYX4InE4PGbluolWQqBtOYXLQW5XI5MLiCb8yjU+jSVatG6wzAIkSIqh0RhmWJxmMGhAYrFQcKwbNMphAwOlchkJH4gcQ7Oxo8MhBaxU62KlM2OHqGw4eIq8XOSnoeXzZg0EtXtaVmeWEjQPY5nQuhdW5tQeo3v+zEbFEUKT6bElux3IxWiMPmMpJN6wIZ5i0RsMWFAK52nxywxiB4b9FcwrW7sOZDoQGqFaVXFGxOXUDUG9mgC36e1tYlx3eO4+557eOC+u2hqrKWMQH2ETqS15tyFq5w9c4lvfvML5DK/22VFoVm3cTdHjpzgwvle/h97/yNnTp8m62skJWAIxCBaDrNg2QL++//m37Bs/lKOn7uCDPIoPWDTdUQIypy/eII3161jyeypt5TI9MOWwaEyb7y1gdtvX0ZLs9ET8oRgybzZvPHOJtZv3cfjdy7BG+XWGmPuHtAGVGdzWe5ZuZiO9nb+p//nn3Hp0iWGSiVAm4AGAKVQYQm0B75HNptlwvgJ9PYPcfrMWcKy5tjRU/zt3/6Q7omTuPOu2/nSl77IBxu38B//5mdsXr6Qz336Tia31f/Bsz3/FfB8AoqbqAYHhzl58iwbN25jx649qFBTk6+lWIzo7e2jp/8QDU0tXLnSy/sb16NUiBAaD4Xnh2gtOHfuCGfOnODdd96nkKshEwR0dLWyePF85s2dQ1dnOzU1zUybVkNTUxOnT5/k2tUr5K0JTQA6FdIbMxC4MFhpJ9qRQMJFeVU/V3Uxk/HNaepbbbf03yrlk2NuNtaXx/zjxvc0N7opIxVHJrk9u1uQScBYAniqdvbxnZyisGEIglye9s5xZDJZVi1fSENt/re+64qNKi4iSmvAx8/VUPJ9ikGRchhSKhYpRyGlqExxeIhr168x0N9LFJWIwpByuUyxXEYpQZDxnEXK9Bn76JFNOBpnOrdPb/qLASRxuoU4nQfx65PW1KPjttO2fVLg3DI21nvLpNDQGi0TwO8YkXRRSptcSdbvRwCekJX+b8IBeRuhdgv9Ks1EVvv0pP+uNPtW6WelTKnOPOiiLqPItKXQgkwmQ1trC63trXiexPd9Fi1eQGNjLWUhiNL1wkC2Wy1bth0gky0wddLvJol0wpTClb4yv372bVQk6blyneLwAL4oIyihKSIp4XklFi1byP/5f/w/MW/qbCItOHOpRP+gMTULrZFa40uQhJw8cZSB4SL1hY/XrUNrza49x+jt6eXuu1YQSxQA07o7mDdrBq+/+S4r5k1nfEvdqG1Z0jCsTRCL83K7dvUaDY11PPnlz3P02Aleff1N+vt6TZJdBEbCRyHQyEDhe4KhgV6EivCkkZ0olyKOHD7I+fNn6Z4wgcWLljJ/4VLeem8T+/Yf49tf+Qwr5k0g4/3/2jvTHznO+85/nrr6nO6ee4bD4TEcDsnh8JJCkZRkHVZsSbY2dqAYMbIIgiwQJH6xL7LABov8E7uLXSC72JWxsb3AwmvLchxFsURJlnVQByXeEu9zTpIznKuvqnqeZ188Vd09wxlSUrTWgf4Cc3R1PdVPVVc9z/f5/q6755X7oqJJeD4HxBOg74fcvHGLsfEprl4d5fRHZ7l5cxo/8JHKDFaJhIMMJbUsvLbgyuhlxsZHzZG0QukQgakUbNkCLJtQ+szPz6M1jE9e4sSJo7RkW/j6Iw/xB99+nGQqTVd3D5lshsmJMa5evUpxZoZCLk/CNb4VpvaW8VOwdFR6UMf+BnrZCdVXm0szdqw06K+0fbX9VrmGSyakxglttWMtPW5suqmrQnG+4I9Pfu6EperNUsfo2whP4/k0qDpxxXulBdqy6OrtxXJcduzYRkdH3nwv3OkqfbaIzV4Aru3g2DZpLw0QEU1FKCXVaoX2hXlm525RKS2yMD/H7NwsZd9Ho0kkXSwbhGUbRUcaZ3ElJMICN2HjJR2smklK1Bx4LcuuWXssWzS4r1hmolcKm3pIv4qva2ydjExAdkS6bV1PIwCRA3RENBuhLKPyKa0jFQpCrRAyVvCoOSmbTMd3v49iYmXbtzvkLnHgFzpaIMTbzUdKJQl1aEx1wmTbtSw7SpSpCMMA3w9IJhJ0trXT2logkUyYwqM6ZNPmQfp6u1CIJRpnrCLEd+Jq0FojFcwv+hz+4CItuQ5SySRSapYEaK1gytMr/P9J7+MQqKA5fnaMc+eukM2kKc3N4VkSZYWgfdABlgV773uQv/mbv2Z44wBj0z4vvHyC5549yK2bCyQ8sLTE0iE2IZaqUrw1idAB8NkRHq1hcbHKL597hb17R+jqLCxRuj3H5slHH+A//vef8ObhD3n6m/twxO3XLcCEoisbPKAqFe8dO8nW4S088fB96IfuY9eeEV48eJBjR4/hlyoIbbIyC6lIJwV9vXmkXCQM5qmUy2js2n0UVEtcuXiB8dExOnt6acnnuT4zz3/9Hz/lsUfu4w8f30d7duXs0V90NAnP5wGtOX/xGs8//wpnT5+nVCyilMZ1bVKpJAJB4FdZKJaMn4GUKBniq5CxyTGuXr1MEJhIA7TEigovmiKMGpPZ1wfHuE56jgNaMTNzk5///Fk2rV/PgQfuwRcastC/bgP5fIHx8XEWFuaRUpJKJHAcqz5xEE3DEdmp5+hpvOkb86LcScHRrPzWyiar1Y5hPkfXiEG9p3eabBoUKOLk+7HywhIfps8Ky/1zViI88X61iTImOwiwLDp7erFcl8FN6xlY17U0R8/nhJiEA1HxWwvHckg4HrlMjt7uNSgV4vtliqUi07emGZ+a5OKVMSZuzFKp+jU3KQuwHRN6b1lWlMAxypNDAyEQyhg4dQM5FVEKBVVPxqejVNGN0VCx2qZFpBxZIkrEV1eEGpWsmt9WRGLiOdyKvz8FSgZLlDqhQUujZC2HFalN5rsTZmETShzPNTmClCaM8hFZwoTsK62xHaumyNiWi205uK6Ll/CwbCsqVyIIqiGVSoWqbxY/2Vya9vZ2erq7Wde/jo72Nrp7ukmlExTyWdb2dpJOJ2sFVxt7/HGI9GIl4LkX3ubQodOcOHaG7p52/u6ZfySfTVDIpSnkc3R2tdHWmiGXy5DNeDi2VYtWC6kTq/gzETRc59WfZKVN+0DCoXdO4Qc+7fkcCzNFLMvHEqEx7Vmato4uvv/9v6BQWMvLb13ihz96gffeOU7gl0m6NraoYlkhNhJHaHSo6Ci0k0qm73IFPhm01rzx1gmuT03xg7/6I+xloe9CCAb7u/nGIwd44+33Gdm6ieH1HUvGUYF5XmSoURISCcHcQpGLl6/yJ9/7DhnPASF4YO8Odu0Y4uSp0xw8+BtOHT/J4vw8yaTH955+km899nUqfsDo5BTvHzvOh2fOcf7CNYqlKloGoF1koLl5fQLhJkil06AFv375EKPjE/zp099gYE3bkozXXwY0Cc/ngKof8NOf/YKTJ89gCQfXcUgkXRzbRmtFtVqlWCqysLDA9PQtbMclDCWBgEsXzuP7FYRWJlQY86O1iCZJtfSn5rwmsSyBXw6ZnJjCdTykDnDRWMLG9RLkCgWmb95ganyCSqWCh2Oq81LPpHx7BFcdNbUiNsOsatJixfafBrF/UUMvPvExPsZi/BMcS9fMWXW/HtAN/ikaUavtulxJiPtj1DKBsB0Kbe1k8zm6u7vZsXUDjh0nuPtiIv5eHWGDZeM5HplUno62HjauH2J9/yA/ffYXFIslhoaGcN0EoR8gZYhfqaCkSWbkB2V83zfXLtSEYUgoQ6RSVCoVKn4VGYaA8b0JgyAKu5U1U5YW9TBvTeSwG2VxVtpUWreJyoeouhqnNZF5TdWSHgZRRfVGXyHzLIgoAsq098u+qSa/LOGx1BphaRzLwXEcUl6SRDKFsB2wBQkvQSabIduSw3UcbMch4XnkcznSqTSZTIZkMoXtODXVpFQqM784z8WLF7k1cwu7WKTVc8gX8nR0dNG/tp+NGzcyNDRIS0sK17VwbRGZburLg/h+WkI+VkG8ODg3eoNnfvxzpiYXSXoJMuUi7x85gkCilSTwq2il8bwk+dYCfX19DGxcy8DGPoYG15DMJLFtKyKwwuRi0vW+iIbPqqd2jK+l2RhUJOfOncdzoVKZRVDBcSXlcgnXtRCWw+bNIxw/foa//9GvOPXhZeZmF7AtC8/RIEIsIbGQCBQqDLGFw7Ztu7CtTxdptuI10zA+OcMv/+F5HntsH31r2lcc/xzb4hsP3svo2A2ee/43dPzrp+jOpxp8xMBSGuVrfKnRjsWxU+coFFrYNrCuRkASQiBTSR66dxd7h7dw9ORHHDr0Np4r2LNrhITrkvQ88ps2sm1gA4ulMh9duMzpcxc5fuI0l6+MUpVlgqqE0EdaPp6XwnETnL84xt/9/XN86/fv58DuIVKu9aVRe5qE53PA9Rs3uDo2ipvyTBqQyPERbVZ4Vb9MtVqi6pucOjqS2i3bY1GGCBtcMyKbwUDUp00hrGiQkMTDhNYyCo220ZbF9Nws2hI4iRTKEqBChLQRjk13Xx+51gLjY9e4NT1N6Cs818HCJJXTKo6OidSUeJG/SjhtTYmhvjlaNN9mFhP1PWttdcOWJe8Kq2a+ijUaHW+PV/grovGIS9WVGmGLXVUaPl+jG7ab/tUFGat2Ajo2eWAKjprkyrE9hWUTZp0Uxn5NkYNKpE4IWvJ5Cm3t5HN57tkxROJThvt+vjD3hoWF53g4bpID+/exc3iE1lyuRqTNJW9UvSI/FKVrpSaUkiila8RHKYWOSlIopan6PlKqmglLReTTtixCLSPCoyL/FhVFlKno3omIulrqWC7A9CHqSxiGOI4D2BFJEvhBQKViwvOLiwscP36Ss2fOABaB71MulwhDH600UoYorXBch4znkMhkcZMpcrk8mWwWz/WwLJOMUStNuepTqvjcnJ1DypByqUKpXCGQklKphF+tkEonybXmGRjaRP/aNaxfv47+/rW0tRVwPQeFMePZ0fO6NIPWJ18mSKCjo8D2ncNMzx5G6pA99+7hkYf30ZL1UDogDH1mZ+aZn5/n9JnznL90iSPHTlD1q3R1dtDT082mTevZumUDXV2ttLWZ1BtCRHqtZfJaKc0SZ2oVlXxTAdyYqXLt2jilSpmgPMPjj91PW2uOZ3/+M5RSuE6KD44c49Dbh1GhhcYj4TkIy1Q3F4RoHQKh+V9CpqWN4W3bP9WdvhK0hoWizzM//Afy+SSPP37/qokNBZBPJ3n6iYf4L8/8guf++TB//K/2U0i7Nb/JagDlso8vFUXX5r33j7BnZBuFdLJ2HDf6QQgKqSSP7N3DA3t2otFMz9+iElRJeomaw3Qum2HfzmH27hhm5rGHuHxlnEOHj3H01Bmuzy4ggxBfSrSbRLkOo2M3+Mn/fYEL1yb5zu/vozOXqj0/X2Q0Cc/vFGZYmZ2dixQXAIWSEhmttfyqj+9XTap9bURfFUVdKOkTqhDbsfCsaGI34TxmgK5J+golFNjSTLxolLRQ0iVUglQ2RSJjESgbPNusrkMfS4UoJbEdl/XJBIW2dkavXKXq+1gCPNcxq2GtEUpg14hWtJqORs24jvZyuXPpoLr80TC0YqnBKSY9DT468VFqf0SN7Jjd60kM7zyM6yXkpbFbhptEBKZ2fF1XChrYW7zSj/83REc1TN71idOYSOo07zZzFqb/CDPIp9MZenp6SKQy3LtrmGzKW9Ef4ssArTWhUkzMzGBZNg/u3Y/b6LvyGa0Qb3P+voN816gcLJ/8V2plaoeZkjtGUcI8V0aiYLFYYmpqgpnpKXp7exjevo3hrcPMzc4xOjbG5OQ4Y6NXmV+YZ2F+gapfZXZ+jnB2HkXkzwQmcZwFInIwsjFJ5Fw3geXYJLwEiWSKfFsrG9f00dnZxsaN6+jr66a7o42WTArHNcTYEiIu0xW9rp97/LdR4YGPH/HXVUjzb3/wfaSCl158lRde/CfK5Vs8+LV97Nw1RCaTQIXGn+fhrx+gWKwwffMWp06d4eqVUaYmb3D0+EmU1ORyLWzYuIH+/j66u9vo6Wln00AfSddDWBbCiZRDEZGdEIIArl6ZY2pyhlJlkb7uNu75vZ14FvSu6eTatQmEEMgwRGtTg8qMmVUQGmE7OMIQZeNBb3JCCdvltdffww81W7cM0FrIYjcUpv0k0FpTLIf8+H+/zOkzZ/kP//7PaGu9c8kNIQRre9r4zrce4f88+wqpdJqnn9hNxrVQCPxAU6kEVPyAybGbXB8bZ+/3nrrte0sQ3dcREfFcB601+WyOUhCQcL2lqRIiQtzRmqejkGP3yBBj16f57duHeef9E4yN3yCoVFBhCoSDUhYvvXqY85eu89iD97Bzaz+dOc9Etn1ByU+T8PyOYRzXiri2iyYg9EO0loShrBVVNCtAieNYaFyzspSSMNSEoQ/CRllOTeG5zR9EaLB0JN2bdioELRVC2GSzKZKuwLYEnrLxXQvfd9BSmtTkWmK5HrabwnHTTI1dY252hiAMEY6LUJE5KnLktGLn2dpgqmvnumQiaxB/GieU+iOnV9j+Ma5pY5uGiJbVrn/coj7oNKpSrNp+uc/NSj1ZKUS+/rrBd2fFzxIIbDQCy3bo6u0h1Jrf276ZjkL6S012Aim5PDFJLpuluyP//00Cv22YXeFzGilR7CfSqEmuemxtImNUrOQpTbkSsjBvzM9TU1OcO/cRqaTDffvuY3BwkKSXREnFPffcQxD6VKtFgsBnenqGxcVFSuUqJT+gXAkolcoEoYzMeCHC1ri2S8JN0tKSp1BopSWXIZVK4noJUi0pstlslOnaxhbGlyomNRbGXBfXXdMN2+LXjeQuvh4udw+qtzGK0WBXjt27t/DmW2/SWshw5NhhPjj6Lps3D/Dwww8wsn2YNd0Fsi0OuWyWrq4sg5v7qVZCFuaKjI5NcO3aBBfOX+TsuYucPPUhSinCUNLZ0UF3ezuthSyFthY6OjtIp1IIYVEtK8anpnnnvQ8plUu4Fuwc2YolNBMT4/T29FAqVfGrEhlKtAhRKkBgRU7bCqVdsDW2ZVITCOFgYdHe3c67H7zHux8cpq2tg5HhYe6//142beijJZs2vjd3mdDjRdP1m0V++L9e5uix1/k3f/4HbN+++Q6tGu41Idi7c4DLoxO89OortORcnnhwBMcWBIHEr0qCUPLGa28wtGkDazo7bnumHIyfU+P3K4Qg7SXww5DFSpmWZPq2djH5cR2b9b2d/Ml3n+DRB/fz4ZkLHHr3KCdPXaRYrqBVBstxOXv2ChcujdPb28n2Leu5d8cgg2vbyaXdiPx8ccasOxKeTzP5NHE3aHzfr0d0CIwGo6FWZhrMA6kkjmPTksvh+z6LC2Wqshit2AxBUNokEzNtGgiPBq2iwo5SIQMFSuB5LjKU2GgcBNoSeAnwXYdAOsgwkvlDB8/xaLUd0ukEszdvMD56hWq1jOu6xvauzLpQRzWCrIaK38bUJm6fgGpYbSLSq7y7ertPs18jz2j0A7oT2bmb8L8yiVn5mCttE9hIDcK2WbdhA14yydYtg/R1tX3pyc749DRdbW3k0yvXQ/pdYjnNjSd6GrYv/3Zi7q41mEz9DiDNAmZBUSkX6epsY2DjI/St6cJLJJHKODYLTKZmBDiOeeYLra2YfEIOCpdGA6yUps4XSGxhY9suthM9SdG4oQVgx4sKM5AbwlMvPRPtssSrz2k4Z9lw7rph/7uRnbi9GYYEqaRLNpvi3/31X9HT0cI7h49x+IOj/OjHPyGVMubL3bu2s2tkK4WWBClHEHgOmWSOzo4Wdu4Yolw5wMJCkZmZOaYmr3Pu/AXGx8e4cWuCC5duEgZFY86Ms2JrTVCpUqr4JICiX+HapbN0Zh2KxSKu49Da2sqNG7cilSzWgTXCFmAJbEfhuuB5Dp6XBCUZ3jbMD/7yL2krtDI6PsHhI0c4ffokL//2IF0dvRzYf4CdI0NsHlhPLus1XBFzl2ggCDWTN2Z5480TvPLam6Qz8Ld/+xeMbNlkMnZ/jPtfCGNy++7j+1koL/KrF17E9Ty+tncLQWDI9vlz5xgbu8rTT/3pbZmt4+9nRQO4EORSaW4VF5BaYYvV62YJIXCEYG1nG32drezds50zl8d5+dV3OXbiHKXyIk4iTRjA1dFJxiamePOdE/T0dHHv7kGGBtawrb+DlPPFUH0+FuH5vDv51ULdv0RE0SWWZbK1LtMETAZYKZmeniYOAVXSOB/HvgXGw3XZBBr5LsjIMTMIQmQgsIXCc138wEdpXUtfbiPwbJAWhK5NoC1E6BAEEm1beI7Ac20ymQQ3Jyej/timKnfsMxT9vW2mEKz8gDcyI6CWjAVRN1ctYSW1X0uu0Z2x0p1bN5Wt2qoWaaZv27Zau1o+nVXITuO1We2TtdZU/Sob160nm8uzZk03WzaurUVzfNmeQw2EUjJ24zrthVZakl+sunx3m9RXe0MhsCxIJB10ErryHQxv6qgV4/Ubdo9D3pXShGGsr4goGaDGsm0CbISMal1pEVVvN07uwrJw3fg1hKEpPmlbSx8JRxhlpl5nr056GkmdXT+Neh/5l4316Yyp6p3PpbhnSz87hvr5o6ce5fCps7z+xlu8/sabvPrqm2zdso3HHj7A/j1baSuk0SnjsCy0RrUkCdsS9PXm2bZ1LfsPbMOXPuVSmemb16kWFygViywWi/hVH619/PI8biLBjRnJSy++xuXzZ7lx7RLCcc3YJRyEcEl4LqFSSBkak7djYdkCxwaEJJNJ09rWzq6REf746T9kcMNAZFbqZO/uEW7Nz3Pq9Dlef/MIBw++zq9//Vu6ervYONDPwOAAba0FTCFWyYWLo1y8cJlLFy9gW5KvP3o/T37zAXra2qMh7+NfYSEEmYTDdx9/gGvj1/nVP/2GVCJFT0cXlXKVDw6/z8CGdWze2L/qc7XSVoFR5TOpJJUwIONa9fF41b6Ylvlsmnu2b2LrpnV8dP4aL736NkeOniYIbCwvgxYO86WQ2QvjXLw8RSGXYef2DXztvq1s39BJwvl8HZybhOdzRqz0rDQNxvWXTASJIgjVMlK0OhqjhUzWWoFlazKZtHG4jP0FaBgMRSxnC0IXpBYgbSzHQbkOuXyefDZDOp1mcnICKY3ZLSZcOq4azWd3z3y8s/3sUU9AV9+2EhG6I5Y5Jt+FZyGlZMOGDfT09pJvzbNtywZs21pmcPsSQWtmFudpzee/cGTnTrhbLy2oZWNQmLpZjY0s6gOrjPeLSExck8torAY2Juw9EmYbENGThpWx65hj62V9iJWdWJ1pVIyWn0+j+e5Ood93Q9w+4Xm1iCYd+YG05rN84/49PHTvCNempnn+xbc4duxD/tN//p+s6+vj208+zCMP7aG9kDULOMATgqRjcgL5WQeFxBJ5Nm7oQCgLtKnu7vs+lcoCQWWeUCluzcHgpq28dvAgY6NXKJcrIGxa8m2kkllCYOrmJKXiAoEfkkgn6ehsZ2hogL6eTnaObGNo0yBdbW2kEw35ZYSpNN7Z2srD+/eyd/duJm/e4u3DRzn10VmOHD/Jy799ByE8lNIEgcl5tH24n28/9SgP7h2mr6cHx/4XVB4Xgs5CC9956pv8t2d+xi9/9Wv27dnJ9Mw8pWKRx55+glTCXbnpHQ8rSNges/4iCcfFFXcPhqgpoULgpTzuGxlg22A/bxw+wz++cIiJm3MmQCO6q8JQcWtmjjfeOsKZM2fYv3c7Tz60h8585nMbz+5YLb2JJppoookmmmjiq4BPUhC3iSaaaKKJJppo4kuJJuFpookmmmiiiSa+8mgSniaaaKKJJppo4iuPJuFpookmmmiiiSa+8mgSniaaaKKJJppo4iuPJuFpookmmmiiiSa+8vh/LIC5cYj7ExsAAAAASUVORK5CYII=",
+            "text/plain": [
+              "<Figure size 720x720 with 1 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "eye_sample, gaze_sample = device.receive_matched_scene_video_frame_and_gaze()\n",
+        "\n",
+        "dt_gaze = datetime.fromtimestamp(gaze_sample.timestamp_unix_seconds)\n",
+        "dt_scene = datetime.fromtimestamp(eye_sample.timestamp_unix_seconds)\n",
+        "print(f\"This gaze sample was recorded at {dt_gaze}\")\n",
+        "print(f\"This scene video was recorded at {dt_scene}\")\n",
+        "print(f\"Temporal difference between both is {abs(gaze_sample.timestamp_unix_seconds - eye_sample.timestamp_unix_seconds) * 1000:.1f} ms\")\n",
+        "\n",
+        "eye_image_rgb = cv2.cvtColor(eye_sample.bgr_pixels, cv2.COLOR_BGR2RGB)\n",
+        "plt.figure(figsize=(10, 10))\n",
+        "plt.imshow(eye_image_rgb)\n",
+        "plt.scatter(gaze_sample.x, gaze_sample.y, s=200, facecolors='none', edgecolors='r')\n",
+        "plt.axis(\"off\");"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Streaming Eye Video\n",
+        "Data generated by the eye cameras can be received using the [`receive_eyes_frame`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_eyes_frame) method. It returns a UTC timestamp in seconds and an image frame containing both eye images stitched together."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "These eye camera images were recorded at 2023-05-25 14:00:07.169702\n"
+          ]
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 720x720 with 1 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "eyes_sample = device.receive_eyes_video_frame()\n",
+        "\n",
+        "dt = datetime.fromtimestamp(eyes_sample.timestamp_unix_seconds)\n",
+        "print(f\"These eye camera images were recorded at {dt}\")\n",
+        "\n",
+        "# matplotlib expects images to be in RGB rather than BGR.\n",
+        "# Thus we use OpenCv to convert color spaces.\n",
+        "eyes_image_rgb = cv2.cvtColor(eyes_sample.bgr_pixels, cv2.COLOR_BGR2RGB)\n",
+        "\n",
+        "plt.figure(figsize=(10, 10))\n",
+        "plt.imshow(eyes_image_rgb)\n",
+        "plt.axis(\"off\");"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Streaming IMU Data\n",
+        "Data generated by the IMU can be received using the [`receive_imu_datum`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_imu_datum) method. It returns a UTC timestamp in seconds, the head pose as a quaternion, gyro data, and accelerometer data as follows."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "imu_sample = device.receive_imu_datum()\n",
+        "\n",
+        "dt = datetime.fromtimestamp(imu_sample.timestamp_unix_seconds)\n",
+        "print(f\"This IMU sample was recorded at {dt}\")\n",
+        "\n",
+        "print(f\"It contains the following data:\")\n",
+        "\n",
+        "print(f\"Head pose:\")\n",
+        "print(imu_sample.quaternion)\n",
+        "\n",
+        "print(f\"Acceleration data:\")\n",
+        "print(imu_sample.accel_data)\n",
+        "\n",
+        "print(f\"Gyro data:\")\n",
+        "print(imu_sample.gyro_data)"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "```\n",
+        "This IMU sample was recorded at 2023-05-25 11:23:05.749155\n",
+        "It contains the following data:\n",
+        "Head pose (as quaternion)\n",
+        "Quaternion(x=0.6989051699638367, y=0.6990674734115601, z=0.14088384807109833, w=0.05466122552752495)\n",
+        "Acceleration data\n",
+        "Data3D(x=0.1142578125, y=0.25927734375, z=-0.93701171875)\n",
+        "Gyro data\n",
+        "Data3D(x=0.1506805419921875, y=-0.1316070556640625, z=-0.0858306884765625)\n",
+        "```"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Conclusion"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Using the simple mode of the real-time API client you can easily access scene video, gaze, and IMU data in real-time as well as remote control your Neon devices.\n",
+        "\n",
+        "You can find the full API reference [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html).\n",
+        "\n",
+        "For an example implementation on how to use the real-time API in action, please see [Track your Experiment Progress using Events](/neon/real-time-api/track-your-experiment-progress-using-events/).\n",
+        "\n",
+        "To learn more about the `async` mode of the client see [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/examples/async.html)."
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": []
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.8.10"
+    },
+    "vscode": {
+      "interpreter": {
+        "hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
+      }
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 4
+}
diff --git a/invisible/real-time-api/tutorials/index.md b/invisible/real-time-api/tutorials/index.md
new file mode 100644
index 000000000..23451e467
--- /dev/null
+++ b/invisible/real-time-api/tutorials/index.md
@@ -0,0 +1,222 @@
+# Overview
+
+For some applications it is critical to have access to eye tracking data in real time. Imagine for example an application utilizing gaze interaction to allow users to press a button using only their eyes.
+
+In other cases it may be important to automatically start or stop a recording and save [events](https://docs.pupil-labs.com/neon/data-collection/events/). For example, you might want to launch a screen-based experiment and have the recording start automatically when the stimulus presentation begins. Additionally, you might want to save the timestamps of when the subject interacted with the screen.
+
+All of this is possible for developers using [Pupil Invisible's Realtime Network API](https://github.com/pupil-labs/realtime-network-api). It allows you to stream gaze data and scene video to any device connected to the same local network. Further, you can control all devices remotely to start and stop recordings or save events.
+
+If you are not a developer and simply need a tool to monitor and control all your devices in real-time, check out [Pupil Invisible Monitor](/data-collection/monitor-app/).
+
+We have created a Python client library for the API that makes it very easy to use. If you require access to the API from a different programming language, you will have to write your own client. Please see the documentation [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/guides/under-the-hood.html).
+
+To install the client library execute the following command in a terminal:
+
+```
+pip install pupil-labs-realtime-api
+```
+
+### Using the Client Library
+
+The client comes in two modes, `simple` and `async`. The simple mode is very easy to use and is the one we will focus on in this tutorial.
+
+::: tip
+You can download the code for this guide [here](https://github.com/pupil-labs/pupil-docs/tree/master/src/invisible/real-time-api/introduction).
+:::
+
+The async mode is using Python's [asyncio](https://docs.python.org/3/library/asyncio.html) in order to implement non-blocking asynchronous communication. The calls made using the simple mode are blocking. If you don't know what any of this means, that's okay! The simple mode suffices for most use-cases and you usually do not need to understand the differences!
+
+The simple client is located in [`pupil_labs.realtime_api.simple`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#simple-api). Using the [`discover_one_device`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.discover_one_device) function, we can connect to a Pupil Invisible device connected to your local network. Make sure the Invisible Companion app is running! If no device can be found, please check [this section](#i-can-not-connect-to-devices-using-the-real-time-api) in our troubleshooting area!
+
+```python
+# The two lines below are only needed to execute this code in a Jupyter Notebook
+import nest_asyncio
+nest_asyncio.apply()
+
+from pupil_labs.realtime_api.simple import discover_one_device
+device = discover_one_device()
+```
+
+With the device connected, you can check various properties of the Companion device and the Pupil Invisible Glasses:
+
+```python
+print(f"Phone IP address: {device.phone_ip}")
+print(f"Phone name: {device.phone_name}")
+print(f"Battery level: {device.battery_level_percent}%")
+print(f"Free storage: {device.memory_num_free_bytes / 1024**3:.1f} GB")
+print(f"Serial number of connected glasses: {device.serial_number_glasses}")
+```
+
+    Phone IP address: 192.168.1.168
+    Phone name: OnePlus8
+    Battery level: 43%
+    Free storage: 92.4 GB
+    Serial number of connected glasses: h4gcf
+
+### Remote Control of Pupil Invisible Devices
+
+Use the [`recording_start`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.recording_start)
+and [`recording_stop_and_save`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.recording_stop_and_save)
+methods to remotely start and stop recordings.
+
+```python
+import time
+
+recording_id = device.recording_start()
+print(f"Started recording with id {recording_id}")
+
+time.sleep(5)
+
+device.recording_stop_and_save()
+```
+
+    Started recording with id 2f99d9f9-f009-4015-97dd-eb253de443b0
+
+While a recording is running, you can save [events](https://docs.pupil-labs.com/neon/data-collection/events/)
+using the [`send_event`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.send_event) method.
+By default, the Pupil Invisible device receiving the event will assign assign a timestamp to it,
+using the time of arrival. Optionally, you can set a custom nanosecond timestamp for your event instead.
+
+```python
+device.recording_start()
+
+print(device.send_event("test event 1"))
+
+time.sleep(5)
+
+# send event with current timestamp
+print(device.send_event("test event 2", event_timestamp_unix_ns=time.time_ns()))
+
+device.recording_stop_and_save()
+```
+
+```python
+
+Event(name=None recording_id=None timestamp_unix_ns=1642599117043000000 datetime=2022-01-19 14:31:57.043000)
+Event(name=None recording_id=fd8c98ca-cd6c-4d3f-9a05-fbdb0ef42668 timestamp_unix_ns=1642599122555200500 datetime=2022-01-19 14:32:02.555201)
+```
+
+### Streaming Scene Video and Gaze Data
+
+You can receive the current scene camera frame using the
+[`receive_scene_video_frame`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_scene_video_frame) method.
+Additionally, this method returns the UTC timestamp of the frame in seconds.
+The image's color space is BGR.
+
+```python
+from datetime import datetime
+import matplotlib.pyplot as plt
+import cv2
+
+scene_sample = device.receive_scene_video_frame()
+
+dt = datetime.fromtimestamp(scene_sample.timestamp_unix_seconds)
+print(f"This scene camera image was recorded at {dt}")
+
+# matplotlib expects images to be in RGB rather than BGR.
+# Thus we use OpenCv to convert color spaces.
+scene_image_rgb = cv2.cvtColor(scene_sample.bgr_pixels, cv2.COLOR_BGR2RGB)
+
+plt.figure(figsize=(10, 10))
+plt.imshow(scene_image_rgb)
+```
+
+    This scene camera image was recorded at 2022-02-28 14:00:59.226667
+
+
+
+
+
+    <matplotlib.image.AxesImage at 0x1f8e892c310>
+
+![png](data:image/png;base64,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)
+
+Analogously, you can receive gaze data using the [`receive_gaze_datum`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_gaze_datum) method,
+which returns a quadruple of x- and y-coordinate, a boolean whether the glasses are being worn,
+and a timestamp. The timestamp is again a UTC timestamp in seconds.
+
+```python
+gaze_sample = device.receive_gaze_datum()
+
+dt = datetime.fromtimestamp(gaze_sample.timestamp_unix_seconds)
+print(f"This gaze sample was recorded at {dt}")
+
+plt.figure(figsize=(10, 10))
+plt.scatter(gaze_sample.x, gaze_sample.y, s=2000, facecolors='none', edgecolors='r')
+plt.xlim(0, 1088)
+plt.ylim(1080, 0)
+```
+
+    This gaze sample was recorded at 2022-02-28 14:01:29.520955
+
+
+
+
+
+    (1080.0, 0.0)
+
+![png](data:image/png;base64,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)
+
+If you tried to correlate the scene video and gaze data to e.g. make a gaze overlay visualization, you might find that there is small temporal misalignment if you simply use the most recent data.
+This is because the gaze data is much smaller and is transferred more quickly. When plotting the most recent samples, the scene video would lag slightly behind.
+
+To compensate for this you need to align the incoming data based on it's timestamps.
+The client library contains a method [`receive_matched_scene_video_frame_and_gaze`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_matched_scene_video_frame_and_gaze) to do all of this automatically.
+It returns the most recent pair of scene video and gaze data that matches temporally.
+
+```python
+scene_sample, gaze_sample = device.receive_matched_scene_video_frame_and_gaze()
+
+dt_gaze = datetime.fromtimestamp(gaze_sample.timestamp_unix_seconds)
+dt_scene = datetime.fromtimestamp(scene_sample.timestamp_unix_seconds)
+print(f"This gaze sample was recorded at {dt_gaze}")
+print(f"This scene video was recorded at {dt_scene}")
+print(f"Temporal difference between both is {abs(gaze_sample.timestamp_unix_seconds - scene_sample.timestamp_unix_seconds) * 1000:.1f} ms")
+
+scene_image_rgb = cv2.cvtColor(scene_sample.bgr_pixels, cv2.COLOR_BGR2RGB)
+plt.figure(figsize=(10, 10))
+plt.imshow(scene_image_rgb)
+plt.scatter(gaze_sample.x, gaze_sample.y, s=200, facecolors='none', edgecolors='r')
+```
+
+    This gaze sample was recorded at 2022-01-19 16:09:40.947967
+    This scene video was recorded at 2022-01-19 16:09:40.938255
+    Temporal difference between both is 9.7 ms
+
+
+
+
+
+    <matplotlib.collections.PathCollection at 0x1351d1a0850>
+
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)
+
+## Troubleshooting
+
+If you are having trouble connecting to your Pupil Invisible Glasses device via the real-time API, consider the following points:
+
+1. Make sure the Pupil Invisible Companion app and the device you are using to access the API are connected to the same local network.
+1. For discovery the local network must allow MDNS and UDP traffic. In large public networks this may be prohibited for security reasons.
+
+   - You may still be able to connect to Pupil Invisible Glasses using its IP address. You can find the IP address in the WiFi settings of the phone. Once you have it, you can connect like this:
+
+     ```python
+     from pupil_labs.realtime_api.simple import Device
+
+     # This address is just an example. Find out the actual IP address of your device!
+     ip = "192.168.1.169"
+
+     device = Device(address=ip, port="8080")
+     ```
+
+   - Alternatively, you can circumvent this by running a separate WiFi using the phone's hotspot functionality or a dedicated WiFi router.
+
+## Conclusion
+
+Using the simple mode of the real-time API client you can easily access scene video and gaze data in real-time as well as remote control your Pupil Invisible devices.
+
+You can find the full API reference [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html).
+
+For an example implementation on how to use the real-time API in action, please see [Track your Experiment Progress using Events](/real-time-api/track-your-experiment-progress-using-events/).
+
+To learn more about the `async` mode of the client see [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/examples/async.html).
diff --git a/src/invisible/real-time-api/introduction/requirements.txt b/invisible/real-time-api/tutorials/requirements.txt
similarity index 100%
rename from src/invisible/real-time-api/introduction/requirements.txt
rename to invisible/real-time-api/tutorials/requirements.txt
diff --git a/invisible/tailwind.config.js b/invisible/tailwind.config.js
new file mode 100644
index 000000000..83ba8604b
--- /dev/null
+++ b/invisible/tailwind.config.js
@@ -0,0 +1,17 @@
+/** @type {import('tailwindcss').Config} */
+module.exports = {
+  content: [
+    "./**/*.md",
+    "./.vitepress/theme/**/*.{vue,js,ts}",
+    "../components/**/*.vue",
+  ],
+  theme: {
+    extend: {
+      screens: {
+        lg: "960px",
+        "2xl": "1440px",
+      },
+    },
+  },
+  plugins: [],
+};
diff --git a/invisible/tsconfig.json b/invisible/tsconfig.json
new file mode 100644
index 000000000..f010d41a6
--- /dev/null
+++ b/invisible/tsconfig.json
@@ -0,0 +1,34 @@
+{
+  "compilerOptions": {
+    "baseUrl": ".",
+    "module": "esnext",
+    "target": "esnext",
+    "moduleResolution": "node",
+    "esModuleInterop": true,
+    "strict": true,
+    "skipLibCheck": true,
+    "noUnusedLocals": true,
+    "resolveJsonModule": true,
+    "verbatimModuleSyntax": true,
+    "jsx": "preserve",
+    "lib": ["esnext", "dom", "dom.iterable"],
+    "isolatedModules": true,
+    "noImplicitThis": true,
+    "allowImportingTsExtensions": true,
+    "allowJs": true,
+    "paths": {
+      "@/*": ["../*"],
+      "@components/*": ["../components/*"],
+      "@theme/*": ["./.vitepress/theme/*"]
+    }
+  },
+  "include": [
+    "../components/*.vue",
+    "./.vitepress/**/*.vue",
+    "./.vitepress/**/*.ts",
+    "./.vitepress/**/*.mts",
+    "./.vitepress/**/*.css"
+  ],
+  "exclude": ["**/node_modules/**", "**/dist/**", "template"],
+  "compileOnSave": true
+}
diff --git a/src/neon/getting-started/understand-the-ecosystem.md b/invisible/understand-the-ecosystem/index.md
similarity index 72%
rename from src/neon/getting-started/understand-the-ecosystem.md
rename to invisible/understand-the-ecosystem/index.md
index 2795c233d..ae515146a 100644
--- a/src/neon/getting-started/understand-the-ecosystem.md
+++ b/invisible/understand-the-ecosystem/index.md
@@ -1,60 +1,44 @@
----
-permalink: /neon/getting-started/understand-the-ecosystem
-description: Overview article on the Neon ecosystem introducing available software components.
----
-
 # Understand the Ecosystem
+
 The Neon ecosystem contains a range of tools that support you during data collection and data analysis. This overview introduces all the key components so you can become familiar with all tools at your disposal.
 
 ## Neon Companion app
-You should have already used the Neon Companion app to [make your first recording](/neon/getting-started/first-recording.html). This app is the core of every Neon data collection.
+
+You should have already used the Neon Companion app to [make your first recording](/data-collection/first-recording/). This app is the core of every Neon data collection.
 
 When your Neon is connected to the Companion device, it supplies it with power and the app calculates a real-time gaze signal. When making a recording, all generated data is saved on the Companion device.
 
 The app automatically saves [UTC timestamps](https://en.wikipedia.org/wiki/Coordinated_Universal_Time) for every generated data sample. This allows you to easily sync your data with other 3rd party sensors, or to sync recordings from multiple subjects that have been made in parallel.
 
-
 ## Pupil Cloud
+
 Pupil Cloud is our web-based storage and analysis platform located at [cloud.pupil-labs.com](https://cloud.pupil-labs.com/). It is the recommended tool for handling your Neon recordings.
 It makes it easy to store all your data securely in one place and it offers a variety of options for analysis.
 
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    :src="require('../../media/neon/pupil_cloud.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Pupil Cloud](./pupil_cloud.jpg)
 
 Once a recording is uploaded to Pupil Cloud the processing pipeline begins adding several additional low-level data streams to it - including the 200 Hz gaze signal and fixation data. Some of this data (e.g. the 200 Hz gaze signal) is not available outside of Pupil Cloud.
 
-From here, you can either download the raw data in a convenient format or use some of the available analysis algorithms to extract additional information from the data. For example, use the [Face Mapper](/enrichments/#face-mapper) to automatically track when subjects are looking at faces. Or use the [Reference Image Mapper](/enrichments/#reference-image-mapper) to track when subjects are looking at objects of interest represented by a reference image.
+From here, you can either download the raw data in a convenient format or use some of the available analysis algorithms to extract additional information from the data. For example, use the [Face Mapper](/pupil-cloud/enrichments/face-mapper/) to automatically track when subjects are looking at faces. Or use the [Reference Image Mapper](/pupil-cloud/enrichments/reference-image-mapper/) to track when subjects are looking at objects of interest represented by a reference image.
 
 We have a strict [privacy policy](https://pupil-labs.com/legal/) that ensures your recording data is accessible only by you and those you explicitly grant access to. Pupil Labs will never access your recording data unless you explicitly instruct us to.
 
 If Cloud upload is enabled in the Neon Companion app, then recordings will be uploaded automatically to Pupil Cloud. No additional effort is required for data logistics.
 
-
 ## Neon Monitor
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/getting-started/pi-monitor-app.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Neon Monitor](./pi-monitor-app.jpg)
 
 All data generated by Neon can be monitored in real-time using the Neon Monitor app. To access the app simply visit [neon.local:8080](http://neon.local:8080) in your browser while being connected to the same WiFi network as the Companion device.
 
-The real-time streaming app enables you to monitor and control a recording session remotely without having to directly interact with the Companion device carried by the subject. You can view the scene video and gaze data remotely in your browser. You can also start and stop recordings and annotate important moments in time with [events](/neon/basic-concepts/events). All data will be saved with the recording on the Companion device.
+The real-time streaming app enables you to monitor and control a recording session remotely without having to directly interact with the Companion device carried by the subject. You can view the scene video and gaze data remotely in your browser. You can also start and stop recordings and annotate important moments in time with [events](https://docs.pupil-labs.com/neon/data-collection/events/). All data will be saved with the recording on the Companion device.
 
 ## Real-Time API
+
 All data generated by Neon is accessible to developers in real-time via our **Real-Time API**. Similar to the Neon Monitor app, it allows you to stream data, remotely start/stop recordings and save events. The only requirement is that the Companion device and the computer using the API are connected to the same WiFi network.
 
 This enables you to e.g. implement Human Computer Interaction (HCI) applications with Neon or to streamline your experiments by remotely controlling your devices and saving events automatically.
 
-Check-out out our [real-time API tutorial](/neon/real-time-api/introduction/) to learn more!
-
-For a concrete usage example, see [Track your Experiment Progress using Events](/neon/real-time-api/track-your-experiment-progress-using-events/)!
+Check-out out our [real-time API tutorial](https://docs.pupil-labs.com/neon/real-time-api/tutorials/) to learn more!
 
+For a concrete usage example, see [Track your Experiment Progress using Events](/real-time-api/track-your-experiment-progress-using-events/)!
diff --git a/src/media/invisible/how-tos/pi-monitor-app.jpg b/invisible/understand-the-ecosystem/pi-monitor-app.jpg
similarity index 100%
rename from src/media/invisible/how-tos/pi-monitor-app.jpg
rename to invisible/understand-the-ecosystem/pi-monitor-app.jpg
diff --git a/src/media/neon/pupil_cloud.jpg b/invisible/understand-the-ecosystem/pupil_cloud.jpg
similarity index 100%
rename from src/media/neon/pupil_cloud.jpg
rename to invisible/understand-the-ecosystem/pupil_cloud.jpg
diff --git a/landing-page/.vitepress/config.mts b/landing-page/.vitepress/config.mts
new file mode 100644
index 000000000..da30ed3ef
--- /dev/null
+++ b/landing-page/.vitepress/config.mts
@@ -0,0 +1,70 @@
+import { fileURLToPath, URL } from "node:url";
+import { defineConfig } from "vitepress";
+
+const url = `https://docs.pupil-labs.com/`;
+
+import { config as default_config } from "./../../default_config.mts";
+import { theme_config as default_theme_config } from "./../../default_config.mts";
+
+const theme_config_additions = {
+  nav: [
+    { text: "Neon", link: url + "neon/", target: "_self" },
+    { text: "Invisible", link: url + "invisible/", target: "_self" },
+    { text: "Core", link: url + "core/", target: "_self" },
+    { text: "Alpha Lab", link: url + "alpha-lab/", target: "_self" },
+  ],
+  socialLinks: [
+    { icon: "discord", link: "https://pupil-labs.com/chat" },
+    {
+      icon: {
+        svg: '<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M200-120q-51 0-72.5-45.5T138-250l222-270v-240h-40q-17 0-28.5-11.5T280-800q0-17 11.5-28.5T320-840h320q17 0 28.5 11.5T680-800q0 17-11.5 28.5T640-760h-40v240l222 270q32 39 10.5 84.5T760-120H200Zm80-120h400L544-400H416L280-240Z"/></svg>',
+      },
+      link: "https://docs.pupil-labs.com/alpha-lab",
+      target: "_self",
+    },
+  ],
+  search: {
+    provider: false,
+  },
+};
+
+const theme_config = { ...default_theme_config, ...theme_config_additions };
+
+const config_additions = {
+  title: "Home",
+  titleTemplate: ":title - Pupil Labs Docs",
+  description: "Documentation for all Pupil Labs products.",
+  vite: {
+    resolve: {
+      alias: [
+        {
+          find: /^.*\/VPNavBar\.vue$/,
+          replacement: fileURLToPath(
+            new URL(
+              "./../../components/header/CustomNavBar.vue",
+              import.meta.url
+            )
+          ),
+        },
+        {
+          find: /^.*\/VPDocFooter\.vue$/,
+          replacement: fileURLToPath(
+            new URL("./../../components/CustomDocFooter.vue", import.meta.url)
+          ),
+        },
+        {
+          find: "@components",
+          replacement: fileURLToPath(
+            new URL("./../../components", import.meta.url)
+          ),
+        },
+      ],
+    },
+  },
+};
+
+export default defineConfig({
+  ...default_config,
+  ...config_additions,
+  themeConfig: theme_config,
+});
diff --git a/landing-page/.vitepress/theme/HomePage.vue b/landing-page/.vitepress/theme/HomePage.vue
new file mode 100644
index 000000000..238c27547
--- /dev/null
+++ b/landing-page/.vitepress/theme/HomePage.vue
@@ -0,0 +1,94 @@
+<script setup lang="ts">
+  import CardLink from "@components/cards/CardLink.vue";
+  import Footer from "@components/Footer.vue";
+
+  import { useData } from "vitepress";
+  const { frontmatter } = useData();
+
+  type FrontMatter = typeof frontmatter;
+
+  interface FM extends FrontMatter {
+    hero?: {
+      title?: string;
+      text?: string;
+      tagline?: string;
+    };
+  }
+
+  const fm: FM = frontmatter;
+</script>
+
+<template>
+  <div
+    class="container grid gap-20 px-6 pt-9 sm:pb-12 md:pb-16 lg:pb-20 mx-auto"
+  >
+    <div class="grid gap-8">
+      <div class="grid grid-cols-1 lg:grid-cols-3">
+        <div>
+          <h1
+            v-if="fm.hero?.title"
+            class="text-2xl sm:text-4xl pb-4 md:pb-9 lg:pb-6 font-semibold"
+            style="color: var(--vp-c-brand-1)"
+          >
+            {{ fm.hero.title }}
+          </h1>
+          <div
+            v-if="fm.hero?.tagline"
+            class="text-lg md:text-xl lg:text-2xl text-2"
+          >
+            {{ fm.hero?.tagline }}
+          </div>
+        </div>
+      </div>
+      <div>
+        <div v-if="fm.products" class="grid grid-cols-1 sm:grid-cols-3 gap-6">
+          <CardLink
+            v-for="(product, index) in fm.products"
+            :key="index"
+            :product="product"
+          />
+        </div>
+      </div>
+    </div>
+    <hr style="border-color: var(--vp-c-divider)" />
+    <div>
+      <div class="grid grid-cols-1 sm:grid-cols-3 gap-4">
+        <div>
+          <h2
+            v-if="fm.alpha?.title"
+            class="text-2xl sm:text-4xl pb-4 md:pb-9 lg:pb-6 font-semibold"
+            style="color: var(--vp-c-brand-1)"
+          >
+            {{ fm.alpha.title }}
+          </h2>
+          <div
+            v-if="fm.alpha?.tagline"
+            class="text-lg md:text-xl lg:text-2xl pb-6 text-2"
+          >
+            {{ fm.alpha?.tagline }}
+          </div>
+          <div v-if="fm.alpha?.action" class="text-lg md:text-xl lg:text-2xl">
+            <a :href="fm.alpha.action.link" target="_self">
+              <button
+                class="py-2 px-4 text-sm font-medium rounded-full action-button"
+              >
+                <p>{{ fm.alpha?.action.text }}</p>
+              </button>
+            </a>
+          </div>
+        </div>
+        <div class="grid col-span-2">
+          <div class="grid grid-cols-1 sm:grid-cols-2 gap-6">
+            <CardLink
+              v-for="(product, index) in fm.alpha.cards"
+              :key="index"
+              :product="product"
+            />
+          </div>
+        </div>
+      </div>
+      <!-- <Content /> -->
+    </div>
+  </div>
+  <Footer />
+</template>
diff --git a/landing-page/.vitepress/theme/index.ts b/landing-page/.vitepress/theme/index.ts
new file mode 100644
index 000000000..77155eadd
--- /dev/null
+++ b/landing-page/.vitepress/theme/index.ts
@@ -0,0 +1,14 @@
+import type { Theme } from "vitepress";
+import DefaultTheme from "vitepress/theme";
+import HomePage from "@theme/HomePage.vue";
+
+import "../../../custom.css";
+import "./tailwind.css";
+
+export default {
+  extends: DefaultTheme,
+  enhanceApp({ app }) {
+    // register your custom global components
+    app.component("HomePage", HomePage);
+  },
+} satisfies Theme;
diff --git a/src/.vuepress/redirect.js b/landing-page/.vitepress/theme/redirect.js
similarity index 100%
rename from src/.vuepress/redirect.js
rename to landing-page/.vitepress/theme/redirect.js
diff --git a/landing-page/.vitepress/theme/tailwind.css b/landing-page/.vitepress/theme/tailwind.css
new file mode 100644
index 000000000..9cc7a9ce9
--- /dev/null
+++ b/landing-page/.vitepress/theme/tailwind.css
@@ -0,0 +1,7 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+.vp-external-link-icon::after {
+  content: unset;
+}
diff --git a/landing-page/cloud-downloads/index.md b/landing-page/cloud-downloads/index.md
new file mode 100644
index 000000000..2a000f65b
--- /dev/null
+++ b/landing-page/cloud-downloads/index.md
@@ -0,0 +1,27 @@
+# Pupil Cloud Downloads
+Please find the correct page with export formats for your device below.
+
+
+## Recording Data
+
+[**Neon**](https://docs.pupil-labs.com/neon/data-collection/data-format/)
+
+[**Pupil Invisible**](https://docs.pupil-labs.com/invisible/data-collection/data-format/)
+
+
+## Enrichment Data
+
+### Neon
+[**Reference Image Mapper**](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/reference-image-mapper/)
+
+[**Marker Mapper**](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/marker-mapper/)
+
+[**Face Mapper**](https://docs.pupil-labs.com/neon/pupil-cloud/enrichments/face-mapper/)
+
+### Pupil Invisible
+[**Reference Image Mapper**](https://docs.pupil-labs.com/invisible/pupil-cloud/enrichments/reference-image-mapper/)
+
+[**Marker Mapper**](https://docs.pupil-labs.com/invisible/pupil-cloud/enrichments/marker-mapper/)
+
+[**Face Mapper**](https://docs.pupil-labs.com/invisible/pupil-cloud/enrichments/face-mapper/)
+
diff --git a/landing-page/index.md b/landing-page/index.md
new file mode 100644
index 000000000..51aff05b3
--- /dev/null
+++ b/landing-page/index.md
@@ -0,0 +1,63 @@
+---
+layout: HomePage
+sidebar: false
+
+hero:
+  title: "Pupil Labs Documentation"
+  tagline: Official docs for users getting started with their Pupil Labs eye tracking glasses and for developers working on eye tracking applications and integrations.
+
+products:
+  - title: Neon
+    details: Neon is our most powerful eye tracker. It features research-grade gaze and pupil diameter estimation, industry-leading robustness in real-world applications, and a pleasent calibration-free user experience.
+    image: "/neon-doc.webp"
+    link:
+      { text: "Enter Documentation", href: "https://docs.pupil-labs.com/neon/" }
+  - title: Pupil Invisible
+    details: Pupil Invisible was the world's first calibration-free eye tracker and set new standards for robustness in real-world applications. It is now deprecated and replaced by Neon.
+    image: "/invisible-doc.webp"
+    link:
+      {
+        text: "Enter Documentation",
+        href: "https://docs.pupil-labs.com/invisible/",
+      }
+  - title: Pupil Core
+    details: Pupil Core is a modular and more affordable eye tracker. It comes with open-source software and was the first eye tracker Pupil Labs created.
+    image: "/core-doc.webp"
+    link:
+      { text: "Enter Documentation", href: "https://docs.pupil-labs.com/core/" }
+
+alpha:
+  title: "Alpha Lab"
+  tagline: "This is the space for our latest experiments with our tools. Alpha Lab is not a place for official product documentation. Everything you find here should be considered a work in progress, and may even be a bit rough around the edges."
+  action:
+    { text: View all articles, link: "https://docs.pupil-labs.com/alpha-lab/" }
+  cards:
+    - title: Define AOIs and Calculate Gaze Metrics
+      details: Here we demonstrate how to make areas of interest using data downloaded from Pupil Cloud’s Reference Image Mapper.
+      link:
+        {
+          text: View,
+          href: "https://docs.pupil-labs.com/alpha-lab/gaze-metrics-in-aois/#define-aois-and-calculate-gaze-metrics",
+        }
+    - title: Map and visualise gaze onto a display content using the Reference Image Mapper
+      details: Here we show you how you can use Pupil Cloud’s Reference Image Mapper to map gaze onto dynamic on-screen content - like a video.
+      link:
+        {
+          text: View,
+          href: "https://docs.pupil-labs.com/alpha-lab/map-your-gaze-to-a-2d-screen/#map-and-visualise-gaze-onto-a-display-content-using-the-reference-image-mapper",
+        }
+    - title: Map gaze onto body parts using DensePose
+      details: Use detectron's densepose AI to segment and know at which part of a body a person is looking.
+      link:
+        {
+          text: View,
+          href: "https://docs.pupil-labs.com/alpha-lab/dense-pose/#map-gaze-onto-body-parts-using-densepose",
+        }
+    - title: Map and visualize gaze on multiple reference images taken from the same environment
+      details: We pushed the limits of markerless mapping with Pupil Cloud’s Reference Image Mapper - scanning an entire apartment.
+      link:
+        {
+          text: View,
+          href: "https://docs.pupil-labs.com/alpha-lab/multiple-rim/#map-and-visualize-gaze-on-multiple-reference-images-taken-from-the-same-environment",
+        }
+---
diff --git a/landing-page/package-lock.json b/landing-page/package-lock.json
new file mode 100644
index 000000000..db4d9b05a
--- /dev/null
+++ b/landing-page/package-lock.json
@@ -0,0 +1,2826 @@
+{
+  "name": "landing-page",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "devDependencies": {
+        "@types/node": "^20.8.10",
+        "autoprefixer": "^10.4.16",
+        "postcss": "^8.4.31",
+        "pug": "^3.0.2",
+        "tailwindcss": "^3.3.5",
+        "vitepress": "^1.0.0-rc.20",
+        "vue-pug-plugin": "^2.0.3"
+      }
+    },
+    "node_modules/@algolia/autocomplete-core": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-core/-/autocomplete-core-1.9.3.tgz",
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+      "dev": true,
+      "dependencies": {
+        "@algolia/autocomplete-plugin-algolia-insights": "1.9.3",
+        "@algolia/autocomplete-shared": "1.9.3"
+      }
+    },
+    "node_modules/@algolia/autocomplete-plugin-algolia-insights": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-plugin-algolia-insights/-/autocomplete-plugin-algolia-insights-1.9.3.tgz",
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+      "dev": true,
+      "dependencies": {
+        "@algolia/autocomplete-shared": "1.9.3"
+      },
+      "peerDependencies": {
+        "search-insights": ">= 1 < 3"
+      }
+    },
+    "node_modules/@algolia/autocomplete-preset-algolia": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-preset-algolia/-/autocomplete-preset-algolia-1.9.3.tgz",
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+      "dev": true,
+      "dependencies": {
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+      },
+      "peerDependencies": {
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+        "algoliasearch": ">= 4.9.1 < 6"
+      }
+    },
+    "node_modules/@algolia/autocomplete-shared": {
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+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-shared/-/autocomplete-shared-1.9.3.tgz",
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+      "dev": true,
+      "peerDependencies": {
+        "@algolia/client-search": ">= 4.9.1 < 6",
+        "algoliasearch": ">= 4.9.1 < 6"
+      }
+    },
+    "node_modules/@algolia/cache-browser-local-storage": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-browser-local-storage/-/cache-browser-local-storage-4.20.0.tgz",
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+      "dev": true,
+      "dependencies": {
+        "@algolia/cache-common": "4.20.0"
+      }
+    },
+    "node_modules/@algolia/cache-common": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-common/-/cache-common-4.20.0.tgz",
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+      "dev": true
+    },
+    "node_modules/@algolia/cache-in-memory": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/cache-in-memory/-/cache-in-memory-4.20.0.tgz",
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+      "dependencies": {
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+    },
+    "node_modules/@algolia/client-account": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-account/-/client-account-4.20.0.tgz",
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+      "dependencies": {
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+        "@algolia/client-search": "4.20.0",
+        "@algolia/transporter": "4.20.0"
+      }
+    },
+    "node_modules/@algolia/client-analytics": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-analytics/-/client-analytics-4.20.0.tgz",
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+      "dev": true,
+      "dependencies": {
+        "@algolia/client-common": "4.20.0",
+        "@algolia/client-search": "4.20.0",
+        "@algolia/requester-common": "4.20.0",
+        "@algolia/transporter": "4.20.0"
+      }
+    },
+    "node_modules/@algolia/client-common": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-common/-/client-common-4.20.0.tgz",
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+    },
+    "node_modules/@algolia/client-personalization": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-personalization/-/client-personalization-4.20.0.tgz",
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+      "dependencies": {
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+        "@algolia/requester-common": "4.20.0",
+        "@algolia/transporter": "4.20.0"
+      }
+    },
+    "node_modules/@algolia/client-search": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-search/-/client-search-4.20.0.tgz",
+      "integrity": "sha512-zgwqnMvhWLdpzKTpd3sGmMlr4c+iS7eyyLGiaO51zDZWGMkpgoNVmltkzdBwxOVXz0RsFMznIxB9zuarUv4TZg==",
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+      "dependencies": {
+        "@algolia/client-common": "4.20.0",
+        "@algolia/requester-common": "4.20.0",
+        "@algolia/transporter": "4.20.0"
+      }
+    },
+    "node_modules/@algolia/logger-common": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/logger-common/-/logger-common-4.20.0.tgz",
+      "integrity": "sha512-xouigCMB5WJYEwvoWW5XDv7Z9f0A8VoXJc3VKwlHJw/je+3p2RcDXfksLI4G4lIVncFUYMZx30tP/rsdlvvzHQ==",
+      "dev": true
+    },
+    "node_modules/@algolia/logger-console": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/logger-console/-/logger-console-4.20.0.tgz",
+      "integrity": "sha512-THlIGG1g/FS63z0StQqDhT6bprUczBI8wnLT3JWvfAQDZX5P6fCg7dG+pIrUBpDIHGszgkqYEqECaKKsdNKOUA==",
+      "dev": true,
+      "dependencies": {
+        "@algolia/logger-common": "4.20.0"
+      }
+    },
+    "node_modules/@algolia/requester-browser-xhr": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/requester-browser-xhr/-/requester-browser-xhr-4.20.0.tgz",
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+      "dependencies": {
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+      }
+    },
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+      "dev": true
+    },
+    "node_modules/@algolia/requester-node-http": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/requester-node-http/-/requester-node-http-4.20.0.tgz",
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+      "dev": true,
+      "dependencies": {
+        "@algolia/requester-common": "4.20.0"
+      }
+    },
+    "node_modules/@algolia/transporter": {
+      "version": "4.20.0",
+      "resolved": "https://registry.npmjs.org/@algolia/transporter/-/transporter-4.20.0.tgz",
+      "integrity": "sha512-Lsii1pGWOAISbzeyuf+r/GPhvHMPHSPrTDWNcIzOE1SG1inlJHICaVe2ikuoRjcpgxZNU54Jl+if15SUCsaTUg==",
+      "dev": true,
+      "dependencies": {
+        "@algolia/cache-common": "4.20.0",
+        "@algolia/logger-common": "4.20.0",
+        "@algolia/requester-common": "4.20.0"
+      }
+    },
+    "node_modules/@alloc/quick-lru": {
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz",
+      "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==",
+      "dev": true,
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
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+}
diff --git a/landing-page/package.json b/landing-page/package.json
new file mode 100644
index 000000000..e3bcc4e61
--- /dev/null
+++ b/landing-page/package.json
@@ -0,0 +1,16 @@
+{
+  "devDependencies": {
+    "@types/node": "^20.8.10",
+    "autoprefixer": "^10.4.16",
+    "postcss": "^8.4.31",
+    "pug": "^3.0.2",
+    "tailwindcss": "^3.3.5",
+    "vitepress": "^1.0.0-rc.20",
+    "vue-pug-plugin": "^2.0.3"
+  },
+  "scripts": {
+    "docs:dev": "vitepress dev",
+    "docs:build": "vitepress build",
+    "docs:preview": "vitepress preview"
+  }
+}
diff --git a/landing-page/postcss.config.js b/landing-page/postcss.config.js
new file mode 100644
index 000000000..12a703d90
--- /dev/null
+++ b/landing-page/postcss.config.js
@@ -0,0 +1,6 @@
+module.exports = {
+  plugins: {
+    tailwindcss: {},
+    autoprefixer: {},
+  },
+};
diff --git a/landing-page/public/core-doc.png b/landing-page/public/core-doc.png
new file mode 100644
index 000000000..c1ac5e412
Binary files /dev/null and b/landing-page/public/core-doc.png differ
diff --git a/landing-page/public/core-doc.webp b/landing-page/public/core-doc.webp
new file mode 100644
index 000000000..b7793d445
Binary files /dev/null and b/landing-page/public/core-doc.webp differ
diff --git a/landing-page/public/invisible-doc.png b/landing-page/public/invisible-doc.png
new file mode 100644
index 000000000..30c1c5bfe
Binary files /dev/null and b/landing-page/public/invisible-doc.png differ
diff --git a/landing-page/public/invisible-doc.webp b/landing-page/public/invisible-doc.webp
new file mode 100644
index 000000000..394fa7664
Binary files /dev/null and b/landing-page/public/invisible-doc.webp differ
diff --git a/landing-page/public/neon-doc.webp b/landing-page/public/neon-doc.webp
new file mode 100644
index 000000000..e8535352e
Binary files /dev/null and b/landing-page/public/neon-doc.webp differ
diff --git a/landing-page/tailwind.config.js b/landing-page/tailwind.config.js
new file mode 100644
index 000000000..83ba8604b
--- /dev/null
+++ b/landing-page/tailwind.config.js
@@ -0,0 +1,17 @@
+/** @type {import('tailwindcss').Config} */
+module.exports = {
+  content: [
+    "./**/*.md",
+    "./.vitepress/theme/**/*.{vue,js,ts}",
+    "../components/**/*.vue",
+  ],
+  theme: {
+    extend: {
+      screens: {
+        lg: "960px",
+        "2xl": "1440px",
+      },
+    },
+  },
+  plugins: [],
+};
diff --git a/landing-page/tsconfig.json b/landing-page/tsconfig.json
new file mode 100644
index 000000000..f010d41a6
--- /dev/null
+++ b/landing-page/tsconfig.json
@@ -0,0 +1,34 @@
+{
+  "compilerOptions": {
+    "baseUrl": ".",
+    "module": "esnext",
+    "target": "esnext",
+    "moduleResolution": "node",
+    "esModuleInterop": true,
+    "strict": true,
+    "skipLibCheck": true,
+    "noUnusedLocals": true,
+    "resolveJsonModule": true,
+    "verbatimModuleSyntax": true,
+    "jsx": "preserve",
+    "lib": ["esnext", "dom", "dom.iterable"],
+    "isolatedModules": true,
+    "noImplicitThis": true,
+    "allowImportingTsExtensions": true,
+    "allowJs": true,
+    "paths": {
+      "@/*": ["../*"],
+      "@components/*": ["../components/*"],
+      "@theme/*": ["./.vitepress/theme/*"]
+    }
+  },
+  "include": [
+    "../components/*.vue",
+    "./.vitepress/**/*.vue",
+    "./.vitepress/**/*.ts",
+    "./.vitepress/**/*.mts",
+    "./.vitepress/**/*.css"
+  ],
+  "exclude": ["**/node_modules/**", "**/dist/**", "template"],
+  "compileOnSave": true
+}
diff --git a/neon/.vitepress/config.mts b/neon/.vitepress/config.mts
new file mode 100644
index 000000000..e97b2cecd
--- /dev/null
+++ b/neon/.vitepress/config.mts
@@ -0,0 +1,253 @@
+import { fileURLToPath, URL } from "node:url";
+import { defineConfig } from "vitepress";
+
+import { config as default_config } from "./../../default_config.mts";
+import { theme_config as default_theme_config } from "./../../default_config.mts";
+
+let theme_config_additions = {
+  // https://vitepress.dev/reference/default-theme-config
+  nav: [
+    {
+      text: "Hardware",
+      link: "/hardware/module-technical-overview/",
+      activeMatch: "/hardware/",
+    },
+    {
+      text: "Data Collection",
+      link: "/data-collection/",
+      activeMatch: "/data-collection/",
+    },
+    {
+      text: "Pupil Cloud",
+      link: "/pupil-cloud/",
+      activeMatch: "/pupil-cloud/",
+    },
+    {
+      text: "Neon Player",
+      link: "/neon-player/",
+      activeMatch: "/neon-player/",
+    },
+    {
+      text: "Real-Time API",
+      link: "/real-time-api/tutorials/",
+      activeMatch: "/real-time-api/",
+    },
+    { text: "Neon XR", link: "/neon-xr/", activeMatch: "/neon-xr/" },
+  ],
+
+  sidebar: {
+    "/getting-started/": [],
+    "/hardware/": [
+      {
+        text: "Neon Module",
+        items: [
+          {
+            text: "Technical Overview",
+            link: "/hardware/module-technical-overview/",
+          },
+          {
+            text: "Cleaning & Disinfecting",
+            link: "/hardware/clean-and-disinfect/",
+          },
+        ],
+      },
+      {
+        text: "Frames",
+        items: [
+          { text: "Swapping Frames", link: "/hardware/swapping-frames/" },
+          { text: "Make Your Own", link: "/hardware/make-your-own-frame/" },
+        ],
+      },
+      {
+        text: "Companion Device",
+        items: [
+          { text: "Compatible Devices", link: "/hardware/compatible-devices/" },
+          { text: "Using a USB Hub", link: "/hardware/using-a-usb-hub/" },
+        ],
+      },
+    ],
+    "/data-collection/": [
+      { text: "Overview", link: "/data-collection/" },
+      {
+        text: "Tutorials",
+        items: [
+          {
+            text: "Your first Recording",
+            link: "/data-collection/first-recording/",
+          },
+        ],
+      },
+      {
+        text: "Recordings",
+        items: [
+          { text: "Overview", link: "/data-collection/recordings/" },
+          { text: "Data Streams", link: "/data-collection/data-streams/" },
+          { text: "Data Format", link: "/data-collection/data-format/" },
+        ],
+      },
+      {
+        text: "Additional Data",
+        items: [
+          { text: "Events", link: "/data-collection/events/" },
+          { text: "Wearers", link: "/data-collection/wearers/" },
+          { text: "Templates", link: "/data-collection/templates/" },
+        ],
+      },
+      {
+        text: "Neon Compannion App",
+        items: [
+          {
+            text: "Offset Correction",
+            link: "/data-collection/offset-correction/",
+          },
+          {
+            text: "Backlight Compensation",
+            link: "/data-collection/backlight-compensation/",
+          },
+        ],
+      },
+      {
+        text: "Software & Integrations",
+        items: [
+          { text: "Monitor App", link: "/data-collection/monitor-app/" },
+          {
+            text: "Lab Streaming Layer",
+            link: "/data-collection/lab-streaming-layer/",
+          },
+          { text: "PsychoPy", link: "/data-collection/psychopy/" },
+        ],
+      },
+      {
+        text: "How-To Guides",
+        items: [
+          {
+            text: "Transfer Recordings via USB",
+            link: "/data-collection/transfer-recordings-via-usb/",
+          },
+          {
+            text: "Time Synchronization",
+            link: "/data-collection/time-synchronization/",
+          },
+          {
+            text: "Measuring the IED",
+            link: "/data-collection/measuring-the-IED/",
+          },
+          {
+            text: "Calibrating the IMU",
+            link: "/data-collection/calibrating-the-imu/",
+          },
+        ],
+      },
+      { text: "Troubleshooting", link: "/data-collection/troubleshooting/" },
+    ],
+    "/pupil-cloud/": [
+      { text: "Overview", link: "/pupil-cloud/" },
+      {
+        text: "Tutorials",
+        items: [
+          { text: "Analysis in Pupil Coud", link: "/pupil-cloud/tutorials/" },
+        ],
+      },
+      {
+        text: "General",
+        items: [
+          { text: "Projects", link: "/pupil-cloud/projects/" },
+          { text: "Workspaces", link: "/pupil-cloud/workspaces/" },
+        ],
+      },
+      {
+        text: "Enrichments",
+        items: [
+          { text: "Overview", link: "/pupil-cloud/enrichments/" },
+          {
+            text: "Reference Image Mapper",
+            link: "/pupil-cloud/enrichments/reference-image-mapper/",
+          },
+          {
+            text: "Marker Mapper",
+            link: "/pupil-cloud/enrichments/marker-mapper/",
+          },
+          {
+            text: "Face Mapper",
+            link: "/pupil-cloud/enrichments/face-mapper/",
+          },
+        ],
+      },
+      {
+        text: "Visualizations",
+        items: [
+          { text: "Heatmap", link: "/pupil-cloud/visualizations/heatmap/" },
+          {
+            text: "Areas of Interest (AOIs)",
+            link: "/pupil-cloud/visualizations/areas-of-interest/",
+          },
+          {
+            text: "Video Renderer",
+            link: "/pupil-cloud/visualizations/video-renderer/",
+          },
+        ],
+      },
+    ],
+    "/real-time-api/": [
+      {
+        text: "Tutorials",
+        items: [{ text: "Tutorial", link: "/real-time-api/tutorials/" }],
+      },
+      {
+        text: "How-To Guides",
+        items: [
+          {
+            text: "Track Your Experiment Progress Using Events",
+            link: "/real-time-api/track-your-experiment-progress-using-events/",
+          },
+          {
+            text: "Track Your Experiment in MATLAB",
+            link: "/real-time-api/track-your-experiment-in-matlab/",
+          },
+        ],
+      },
+    ],
+  },
+};
+
+let theme_config = { ...default_theme_config, ...theme_config_additions };
+
+let config_additions = {
+  base: "/neon/",
+  title: "Neon",
+  titleTemplate: "Neon - :title - Pupil Labs Docs",
+  description: "Documentation of Neon eye tracker and ecosystem.",
+  vite: {
+    resolve: {
+      alias: [
+        {
+          find: /^.*\/VPNavBar\.vue$/,
+          replacement: fileURLToPath(
+            new URL(
+              "./../../components/header/CustomNavBar.vue",
+              import.meta.url
+            )
+          ),
+        },
+        {
+          find: /^.*\/VPDocFooter\.vue$/,
+          replacement: fileURLToPath(
+            new URL("./../../components/CustomDocFooter.vue", import.meta.url)
+          ),
+        },
+        {
+          find: "@components",
+          replacement: fileURLToPath(
+            new URL("./../../components", import.meta.url)
+          ),
+        },
+      ],
+    },
+  },
+};
+
+export default defineConfig({
+  ...default_config,
+  ...config_additions,
+  themeConfig: theme_config,
+});
diff --git a/neon/.vitepress/theme/index.ts b/neon/.vitepress/theme/index.ts
new file mode 100644
index 000000000..55c6b567c
--- /dev/null
+++ b/neon/.vitepress/theme/index.ts
@@ -0,0 +1,18 @@
+import type { Theme } from "vitepress";
+import DefaultTheme from "vitepress/theme";
+import ProductPageLayout from "@components/ProductPageLayout.vue";
+import Youtube from "@components/Youtube.vue";
+import PhotoGrid from "@components/PhotoGrid.vue";
+
+import "../../../custom.css";
+import "./tailwind.css";
+
+export default {
+  extends: DefaultTheme,
+  enhanceApp({ app }) {
+    // register your custom global components
+    app.component("ProductPageLayout", ProductPageLayout);
+    app.component("Youtube", Youtube);
+    app.component("PhotoGrid", PhotoGrid);
+  },
+} satisfies Theme;
diff --git a/neon/.vitepress/theme/tailwind.css b/neon/.vitepress/theme/tailwind.css
new file mode 100644
index 000000000..bbb78849e
--- /dev/null
+++ b/neon/.vitepress/theme/tailwind.css
@@ -0,0 +1,7 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+/* .vp-external-link-icon::after {
+  content: unset;
+} */
diff --git a/neon/data-collection/backlight-compensation/index.md b/neon/data-collection/backlight-compensation/index.md
new file mode 100644
index 000000000..46dde1e7b
--- /dev/null
+++ b/neon/data-collection/backlight-compensation/index.md
@@ -0,0 +1,2 @@
+# Backlight Compensation
+Coming soon!
\ No newline at end of file
diff --git a/src/neon/how-tos/data-collection/calibrate-the-imu-for-accurate-yaw-orientation.md b/neon/data-collection/calibrating-the-imu/index.md
similarity index 73%
rename from src/neon/how-tos/data-collection/calibrate-the-imu-for-accurate-yaw-orientation.md
rename to neon/data-collection/calibrating-the-imu/index.md
index 766dad096..61d8269e5 100644
--- a/src/neon/how-tos/data-collection/calibrate-the-imu-for-accurate-yaw-orientation.md
+++ b/neon/data-collection/calibrating-the-imu/index.md
@@ -1,8 +1,4 @@
----
-description: "How-to calibrate Neon magnetometer to obatain accurate yaw orientation."
-permalink: /neon/how-tos/data-collection-with-the-companion-app/calibrate-the-imu-for-accurate-yaw-orientation
----
-# Calibrate the IMU for accurate yaw orientation
+# Calibrate the IMU for Accurate Yaw Orientation
 
 <Youtube src="kXgAJHavqaM" />
 
@@ -15,5 +11,5 @@ The absolute orientation with respect to north (Yaw) requires a lock on the weak
 An uncalibrated IMU has no negative effect on Neon gaze estimation!
 
 ::: tip
-**Note:** As an optional step, you can use our [real-time IMU visualization tool](https://github.com/pupil-labs/plimu) along with a compass to assess the accuracy of your calibration. This tool necessitates familiarity with executing a script from the command line.
+**Note:** As an optional step, you can use our [real-time IMU visualization script](https://github.com/pupil-labs/plimu) along with a compass to assess the accuracy of your calibration.
 :::
diff --git a/src/export-formats/recording-data/neon.md b/neon/data-collection/data-format/index.md
similarity index 64%
rename from src/export-formats/recording-data/neon.md
rename to neon/data-collection/data-format/index.md
index 6268d4012..80934f5a6 100644
--- a/src/export-formats/recording-data/neon.md
+++ b/neon/data-collection/data-format/index.md
@@ -1,9 +1,4 @@
----
-permalink: /export-formats/recording-data/neon
-description: Documentation of the exact export formats of Pupil Cloud.
----
-
-# Neon Recording Format
+# Recording Format
 
 ## Recording Folders
 The export contains one folder per recording following this naming scheme:
@@ -14,28 +9,28 @@ The files included in every folder are described in the following.
 This file contains meta-information on the recording.
 
 
-| Field | Description | 
-| -------- | -------- | 
-| **android_device_id** | Unique identifier of the Android device used as Companion.     |
-| **android_device_model** | Model name of the Companion device.     |
-| **android_device_name** | Device name of the Companion device.     |
-| **app_version** | Version of the Neon Companion app used to make the recording. |
-| **calib_version** | Version of the offset correction used by the Neon Companion app. |
-| **data_format_version** | Version of the data format used by the Neon Companion app.     |
-| **duration** | Duration of the recording in nanoseconds|
-| **firmware_version** | Version numbers of the firmware and FPGA. |
-| **frame_id** | Number identifying the type of frame used for this recording. |
-| **frame_name** | Name of the frame used for this recording. |
-| **gaze_offset** | Gaze offset applied to this recording using the offset correction. Values are in pixels.|
-| **module_serial_number** | Serial number of the Neon module used for the recording. This number is encoded in the QR code on the back of the Neon module. |
-| **os_version** | Version of the Android OS that was installed on the recording Companion device. |
-| **pipeline_version** | Version of the gaze estimation pipeline used by the Neon Companion app. |
-| **recording_id** | Unique identifier of the recording. |
-| **start_time** | Timestamp of when the recording was started. Given as UTC timestamp in nanoseconds. |
-| **template_data** | Data regarding the selected template for the recording as well as the response values. |
-| **wearer_id** | Unique identifier of the wearer selected for this recording. |
-| **wearer_name** | Name of the wearer selected for this recording. |
-| **workspace_id** | The ID of the Pupil Cloud workspace this recording has been assigned to. |
+| Field                     | Description | 
+| ------------------------- | -------- | 
+| **android_device_id**     | Unique identifier of the Android device used as Companion.     |
+| **android_device_model**  | Model name of the Companion device.     |
+| **android_device_name**   | Device name of the Companion device.     |
+| **app_version**           | Version of the Neon Companion app used to make the recording. |
+| **calib_version**         | Version of the offset correction used by the Neon Companion app. |
+| **data_format_version**   | Version of the data format used by the Neon Companion app.     |
+| **duration**              | Duration of the recording in nanoseconds|
+| **firmware_version**      | Version numbers of the firmware and FPGA. |
+| **frame_id**              | Number identifying the type of frame used for this recording. |
+| **frame_name**            | Name of the frame used for this recording. |
+| **gaze_offset**           | Gaze offset applied to this recording using the offset correction. Values are in pixels.|
+| **module_serial_number**  | Serial number of the Neon module used for the recording. This number is encoded in the QR code on the back of the Neon module. |
+| **os_version**            | Version of the Android OS that was installed on the recording Companion device. |
+| **pipeline_version**      | Version of the gaze estimation pipeline used by the Neon Companion app. |
+| **recording_id**          | Unique identifier of the recording. |
+| **start_time**            | Timestamp of when the recording was started. Given as UTC timestamp in nanoseconds. |
+| **template_data**         | Data regarding the selected template for the recording as well as the response values. |
+| **wearer_id**             | Unique identifier of the wearer selected for this recording. |
+| **wearer_name**           | Name of the wearer selected for this recording. |
+| **workspace_id**          | The ID of the Pupil Cloud workspace this recording has been assigned to. |
 
 
 **Scene Video**
@@ -65,7 +60,7 @@ This file contains the timestamps of every world video frame.
 
 
 ## events.csv
-This file contains [event](/neon/basic-concepts/events) data for all recordings. It contains both project event annotations and real-time recording events.
+This file contains [event](/data-collection/events/) data for all recordings. It contains both project event annotations and real-time recording events.
 
 | Field | Description | 
 | -------- | -------- | 
@@ -76,14 +71,14 @@ This file contains [event](/neon/basic-concepts/events) data for all recordings.
 
 
 ## gaze.csv
-This file contains [gaze](/neon/basic-concepts/data-streams/#gaze) data in world camera coordinates.
+This file contains [gaze](/data-collection/data-streams/#gaze) data in world camera coordinates.
 
 
 | Field | Description | 
 | -------- | -------- | 
 | **section id** | Unique identifier of the corresponding section.     |
 | **recording id** | Unique identifier of the recording this sample belongs to.     |
-| **timestamp [ns]** | UTC timestamp in nanoseconds of the sample. Equal to the timestamp of the eye video frame this sample was generated with.     |
+| **timestamp&nbsp;[ns]** | UTC timestamp in nanoseconds of the sample. Equal to the timestamp of the eye video frame this sample was generated with.     |
 | **gaze x [px]** | Float value representing the x-coordinate of the mapped gaze point in world camera pixel coordinates.
 | **gaze y [px]** | Same as "gaze x [px]" but for the y-coordinate.     |
 | **worn** | These values indicate whether Neon has been worn by a subject at the respective point in time. `1.0` indicates that it has been worn, while `0.0` indicates that it has not been worn.    |
@@ -94,7 +89,7 @@ This file contains [gaze](/neon/basic-concepts/data-streams/#gaze) data in world
 
 
 ## fixations.csv
-This file contains [fixations](/neon/basic-concepts/data-streams/#fixations) detected in the gaze data stream.
+This file contains [fixations](/data-collection/data-streams/#fixations) detected in the gaze data stream.
 The corresponding gaze samples that belong to each fixation can be determined from the `gaze.csv` file using the `fixation id` field.
 
 
@@ -103,7 +98,7 @@ The corresponding gaze samples that belong to each fixation can be determined fr
 | **section id** | Unique identifier of the corresponding section.     |
 | **recording id** | Unique identifier of the recording this sample belongs to.     |
 | **fixation id** | Identifier of the fixation. The counter starts at the beginning of the recording.     |
-| **start timestamp [ns]** | UTC timestamp in nanoseconds of the start of the fixation.     |
+| **start&nbsp;timestamp&nbsp;[ns]** | UTC timestamp in nanoseconds of the start of the fixation.     |
 | **end timestamp [ns]** | UTC timestamp in nanoseconds of the end of the fixation.     |
 | **duration [ms]** | Duration of the fixation in milliseconds.     |
 | **fixation x [px]** | Float value representing the x-coordinate of the fixation in world camera pixel coordinates. This position is the average of all gaze samples within the fixation.     |
@@ -112,7 +107,7 @@ The corresponding gaze samples that belong to each fixation can be determined fr
 | **elevation [deg]** | The [elevation](https://en.wikipedia.org/wiki/Horizontal_coordinate_system) of the gaze ray corresponding to the fixation location in relation to the scene camera in degrees.     |
 
 ## 3d_eye_states.csv
-This file contains [3D eye states](/neon/basic-concepts/data-streams/#_3d-eye-states) as well as [pupil diameter](/neon/basic-concepts/data-streams/#pupil-diameters) data.
+This file contains [3D eye states](/data-collection/data-streams/#_3d-eye-states) as well as [pupil diameter](/data-collection/data-streams/#pupil-diamaters) data.
 
 
 | Field                     | Description | 
@@ -121,11 +116,11 @@ This file contains [3D eye states](/neon/basic-concepts/data-streams/#_3d-eye-st
 | **recording id**          | Unique identifier of the recording this sample belongs to.     |
 | **timestamp [ns]**        | UTC timestamp in nanoseconds of the sample. Equal to the timestamp of the eye video frame this sample was generated with. |
 | **pupil diameter [mm]**   | Physical diameter of the pupils of the left and right eye. |
-| **eye ball center left x [mm]**<br /> **eye ball center left y [mm]**<br /> **eye ball center left z [mm]**<br /> **eye ball center right x [mm]**<br /> **eye ball center right y [mm]**<br /> **eye ball center right z [mm]** | Location of left and right eye ball centers in millimeters in relation to the scene camera of the Neon module. For details on the coordinate systems see [here](/neon/basic-concepts/data-streams/#_3d-eye-states). |
-| **optical axis left x**<br /> **optical axis left y**<br /> **optical axis left z**<br /> **optical axis right x**<br /> **optical axis right y**<br /> **optical axis right z** | Directional vector describing the optical axis of the left and right eye, i.e. the vector pointing from eye ball center to pupil center of the resepective eye. For details on the coordinate systems see [here](/neon/basic-concepts/data-streams/#_3d-eye-states). |
+| **eye&nbsp;ball&nbsp;center&nbsp;left&nbsp;x&nbsp;[mm]**<br /> **eye ball center left y [mm]**<br /> **eye ball center left z [mm]**<br /> **eye&nbsp;ball&nbsp;center&nbsp;right&nbsp;x&nbsp;[mm]**<br /> **eye&nbsp;ball&nbsp;center&nbsp;right&nbsp;y&nbsp;[mm]**<br /> **eye ball center right z [mm]** | Location of left and right eye ball centers in millimeters in relation to the scene camera of the Neon module. For details on the coordinate systems see [here](/data-collection/data-streams/#_3d-eye-states). |
+| **optical axis left x**<br /> **optical axis left y**<br /> **optical axis left z**<br /> **optical axis right x**<br /> **optical axis right y**<br /> **optical axis right z** | Directional vector describing the optical axis of the left and right eye, i.e. the vector pointing from eye ball center to pupil center of the resepective eye. For details on the coordinate systems see [here](/data-collection/data-streams/#_3d-eye-states). |
 
 ## blinks.csv
-This file contains [blinks](/neon/basic-concepts/data-streams/#blinks) detected in the eye video.
+This file contains [blinks](/data-collection/data-streams/#blinks) detected in the eye video.
 The corresponding gaze samples that belong to each blink can be determined from the `gaze.csv` file using the `blink id` field.
 
 
@@ -134,12 +129,12 @@ The corresponding gaze samples that belong to each blink can be determined from
 | **section id** | Unique identifier of the corresponding section.     |
 | **recording id** | Unique identifier of the recording this sample belongs to.     |
 | **blink id** | Identifier of the blink. The counter starts at the beginning of the recording.     |
-| **start timestamp [ns]** | UTC timestamp in nanoseconds of the start of the blink.     |
+| **start&nbsp;timestamp&nbsp;[ns]** | UTC timestamp in nanoseconds of the start of the blink.     |
 | **end timestamp [ns]** | UTC timestamp in nanoseconds of the end of the blink.     |
 | **duration [ms]** | Duration of the blink in milliseconds.     |
 
 ## imu.csv
-This file contains data recorded by the integrated [IMU](/neon/basic-concepts/data-streams/#inertial-measurements) (inertial measurement unit).
+This file contains data recorded by the integrated [IMU](/data-collection/data-streams/#movement-imu-data) (inertial measurement unit).
 
 | Field | Description | 
 | -------- | -------- | 
@@ -147,7 +142,7 @@ This file contains data recorded by the integrated [IMU](/neon/basic-concepts/da
 | **recording id** | Unique identifier of the recording this sample belongs to.     |
 | **timestamp [ns]** | UTC timestamp in nanoseconds of the sample.    |
 | **gyro x [deg/s]**<br />**gyro y [deg/s]**<br />**gyro z [deg/s]** | Rotation speed around x, y or z-axis respectively in degrees/s.    |
-| **acceleration x [G]**<br />**acceleration y [G]**<br />**acceleration z [G]** | Translational acceleration along the x, y or z-axis respectively in G. Note `1 G = 9.80665 m/s^2`.|
+| **acceleration&nbsp;x&nbsp;[G]**<br />**acceleration&nbsp;y&nbsp;[G]**<br />**acceleration z [G]** | Translational acceleration along the x, y or z-axis respectively in G. Note `1 G = 9.80665 m/s^2`.|
 | **roll [deg]** | Drift-free estimate of the roll (head tilt from side to side) in degrees. The output range is -180 to +180 degrees. Added in version 2 of this enrichment.    |
 | **pitch [deg]** | Drift-free estimate of the pitch (head tilt from front to back) in degrees. The output range is -90 to +90 degrees. Added in version 2 of this enrichment. |
 | **yaw [deg]** | Drift-free estimate of the yaw (horizontal head rotation) in degrees. The output range is -180 to +180 degrees. Added in version 2 of this enrichment. |
diff --git a/src/media/neon/3d_eye_states.png b/neon/data-collection/data-streams/3d_eye_states.png
similarity index 100%
rename from src/media/neon/3d_eye_states.png
rename to neon/data-collection/data-streams/3d_eye_states.png
diff --git a/neon/data-collection/data-streams/fixations.jpg b/neon/data-collection/data-streams/fixations.jpg
new file mode 100644
index 000000000..43370d415
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diff --git a/src/media/neon/gaze.jpg b/neon/data-collection/data-streams/gaze.jpg
similarity index 100%
rename from src/media/neon/gaze.jpg
rename to neon/data-collection/data-streams/gaze.jpg
diff --git a/neon/data-collection/data-streams/imu-pitch_yaw_roll-black.jpg b/neon/data-collection/data-streams/imu-pitch_yaw_roll-black.jpg
new file mode 100644
index 000000000..98a30e06e
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diff --git a/neon/data-collection/data-streams/imu-scene_camera-black.jpg b/neon/data-collection/data-streams/imu-scene_camera-black.jpg
new file mode 100644
index 000000000..26d425212
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diff --git a/neon/data-collection/data-streams/imu-xyz-black.jpg b/neon/data-collection/data-streams/imu-xyz-black.jpg
new file mode 100644
index 000000000..eb992e83a
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diff --git a/src/media/neon/imu_coordinate_system.jpg b/neon/data-collection/data-streams/imu_coordinate_system.jpg
similarity index 100%
rename from src/media/neon/imu_coordinate_system.jpg
rename to neon/data-collection/data-streams/imu_coordinate_system.jpg
diff --git a/src/media/neon/imu_pitch_yaw_roll.jpg b/neon/data-collection/data-streams/imu_pitch_yaw_roll.jpg
similarity index 100%
rename from src/media/neon/imu_pitch_yaw_roll.jpg
rename to neon/data-collection/data-streams/imu_pitch_yaw_roll.jpg
diff --git a/src/media/neon/imu_scene_camera.jpg b/neon/data-collection/data-streams/imu_scene_camera.jpg
similarity index 100%
rename from src/media/neon/imu_scene_camera.jpg
rename to neon/data-collection/data-streams/imu_scene_camera.jpg
diff --git a/src/neon/basic-concepts/data-streams.md b/neon/data-collection/data-streams/index.md
similarity index 59%
rename from src/neon/basic-concepts/data-streams.md
rename to neon/data-collection/data-streams/index.md
index 57a1afe5f..0bfadbc83 100644
--- a/src/neon/basic-concepts/data-streams.md
+++ b/neon/data-collection/data-streams/index.md
@@ -1,112 +1,101 @@
----
-permalink: /neon/basic-concepts/data-streams
-description: Summary of all available data streams in Neon recordings
----
-
 # Data Streams
-The Neon module contains a number of sensors providing different types of data. Some data streams are available in real-time (see [real-time API](/neon/real-time-api/introduction/)), while others are computed in Pupil Cloud post hoc after uploading. All data is fully accessible and can be downloaded from Pupil Cloud in convenient formats.
+
+The Neon module contains a number of sensors providing different types of data (see also [Technical Overview](/hardware/module-technical-overview/)). Some data is available in real-time (e.g. via the [real-time API](/real-time-api/tutorials/)), while other data is generated post hoc through either [Pupil Cloud](/pupil-cloud/) or [Neon Player](/neon-player/).
+
+Below you can find a description of all data streams and where they are available. All data is fully accessible and can be downloaded in convenient formats.
 
 ## Eye Videos
-The Neon module features two eye cameras, one for each eye. They are located at the tip of the small arms of the module. The sensors record IR video at 200 Hz with a resolution of 192x192px. The two sensors are synced in hardware, such that they record images at the exact same time. The resulting images a concatenated in a single video stream of 384x192px resolution. 
 
-An IR LED is located just above each camera, which guarantees good illumination of the eye in dark environments.
+<Badge>Real-time</Badge><Badge>Pupil Cloud</Badge><Badge>Neon Player</Badge>
+The Neon module features two eye cameras, one for each eye. They are located at the tip of the small arms of the module. The sensors record IR video at 200 Hz with a resolution of 192x192px. The two sensors are synced in hardware, such that they record images at the exact same time. The resulting images a concatenated in a single video stream of 384x192px resolution.
 
+An IR LED is located just above each camera, which guarantees good illumination of the eye in dark environments.
 
 ## Gaze
-The Neon Companion app can provide gaze data in real-time. When using a OnePlus 8 Companion device, the available framerate is +120 Hz (the achieved framerate varies from ~200 Hz in the first minute of a recording to ~120 Hz for longer recordings. This is due to restrictions in resource consumption applied by the Android operating system). Other apps running simultaneously on the phone may decrease the framerate.
 
-After a recording is uploaded to Pupil Cloud, gaze data is automatically re-computed at the full framerate of 200 Hz and can be downloaded from there.
+<Badge>Real-time</Badge><Badge>Pupil Cloud</Badge><Badge>Neon Player</Badge>
+The Neon Companion app can provide gaze data in real-time at up to 200 Hz. Gaze data is output in pixel space of the scene camera image, which has a resolution of 1600x1200 px. The origin is in the top-left corner of the image.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/neon/gaze.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Gaze](./gaze.jpg)
 
-Gaze data is output in pixel space of the scene camera image, which has a resolution of 1600x1200 px. The origin is in the top-left corner of the image.
+The achieved framerate can vary based on what Companion device is used and environmental conditions. One the OnePlus 10 the full 200 Hz can generally be achieved outside of especially hot environments. On the OnePlus 8 the framerate typically drops to ~120 Hz within a few minutes of starting a recording. Other apps running simultaneously on the phone may decrease the framerate.
 
-The gaze estimation algorithm is based on end-2-end deep learning and provides gaze data robustly without requiring calibration. We are currently working on a white paper that thoroughly evaluated the algorithm and will link it here once it is published.
+After a recording is uploaded to Pupil Cloud, gaze data is automatically re-computed at the full 200 Hz framerat and can be downloaded from there.
+
+The gaze estimation algorithm is based on end-2-end deep learning and provides gaze data robustly without requiring a calibration. We are currently working on a white paper that thoroughly evaluated the algorithm and will link it here once it is published.
 
 ## Fixations
-The two primary types of eye movements exhibited by the visual system are fixations and saccades. During fixations, the eyes are directed at a specific point in the environment. A saccade is a very quick movement where the eyes jump from one fixation to the next. Properties like the fixation duration are of significant importance for studying gaze behavior.
 
+<Badge>Pupil Cloud</Badge><Badge>Neon Player</Badge>
+The two primary types of eye movements exhibited by the visual system are fixations and saccades. During fixations, the eyes are directed at a specific point in the environment. A saccade is a very quick movement where the eyes jump from one fixation to the next. Properties like the fixation duration are of significant importance for studying gaze behavior.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/neon/fixations.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Fixations](./fixations.jpg)
 
-Fixations are calculated automatically in Pupil Cloud after uploading a recording and are included in relevant downloads. The downloads for gaze mapping enrichments ([Reference Image Mapper](/export-formats/enrichment-data/marker-mapper/#fixations-csv), [Marker Mapper](/export-formats/enrichment-data/reference-image-mapper/#fixations-csv)) also include "mapped fixations".
+Fixations are calculated automatically in Pupil Cloud after uploading a recording and are included in relevant downloads. The downloads for gaze mapping enrichments ([Reference Image Mapper](/pupil-cloud/enrichments/reference-image-mapper/#export-format), [Marker Mapper](/pupil-cloud/enrichments/marker-mapper/#export-format)) also include "mapped fixations".
 
 The deployed fixation detection algorithm was specifically designed for head-mounted eye trackers and offers increased robustness in the presence of head movements. Especially movements due to vestibulo-ocular reflex are compensated for, which is not the case for most other fixation detection algorithms. Read more about that in the [Pupil Labs fixation detector whitepaper](https://docs.google.com/document/d/1dTL1VS83F-W1AZfbG-EogYwq2PFk463HqwGgshK3yJE/export?format=pdf)
 
 ## 3D Eye States
-After uploading a recording to Pupil Cloud, 3D eye states are computed automatically at 200 Hz. The 3D eye states are a time series of each eye's position and orientation in 3D space, given by the location of the eyeball center and the optical axis of each eye. 
+
+<Badge>Pupil Cloud</Badge>
+After uploading a recording to Pupil Cloud, 3D eye states are computed automatically at 200 Hz. The 3D eye states are a time series of each eye's position and orientation in 3D space, given by the location of the eyeball center and the optical axis of each eye.
 
 The coordinate system is depicted below. The origin corresponds to the scene camera of the Neon Module.
 
-![Coordinate systems of 3D eye states](../../media/neon/3d_eye_states.png)
+![Coordinate systems of 3D eye states](./3d_eye_states.png)
 
 You can specify the inter-eye distance (IED) of a wearer in the wearer profile before making a recording to further improve the accuracy of the measurements. If no IED value is specified, the population average of 63 mm is used.
 
 ## Pupil Diameters
+
+<Badge>Pupil Cloud</Badge>
 After uploading a recording to Pupil Cloud, pupil diameters are computed automatically at 200 Hz. The computed pupil diameters correspond to the physical pupil size in mm, rather than the apparent pupil size in pixels as observed in the eye videos. The algorithm does not provide independent measurements per eye but reports a single value for both eyes.
 
 Similar to the 3D eye states, the accuracy of the pupil diameter measurements improves when supplying the wearer's IED in the wearer profile before making a recording.
 
 ## Blinks
+
+<Badge>Pupil Cloud</Badge><Badge>Neon Player</Badge>
 During blinks the eye is briefly covered by the eyelids, which serves the purpose of spreading tears across the cornea. The blink rate and blink duration are also correlated with cognitive processes, which makes them interesting physiological signals.
 
 Blinks are detected automatically in Pupil Cloud after uploading a recording and are part of the downloadable data.
 
-The blink detection algorithm is operating directly on the eye video to detect the movement patterns of blinks. Read more about the algorithm in the [Pupil Labs blink detector whitepaper](https://docs.google.com/document/d/1JLBhC7fmBr6BR59IT3cWgYyqiaM8HLpFxv5KImrN-qE/export?format=pdf). The algorithm will soon be released as open-source
+The blink detection algorithm is operating directly on the eye video to detect the movement patterns of blinks. Read more about the algorithm in the [Pupil Labs blink detector whitepaper](https://docs.google.com/document/d/1JLBhC7fmBr6BR59IT3cWgYyqiaM8HLpFxv5KImrN-qE/export?format=pdf). The algorithm will soon be released as open-source.
 
 ## Scene Video
+
+<Badge>Real-time</Badge><Badge>Pupil Cloud</Badge><Badge>Neon Player</Badge>
 The front-facing scene camera is located in the center of the Neon Module. It records video at 30 Hz and 1600x1200 px resolution with a field of view of 132°x81°.
 
 The scene camera can be operated with automatic or manual exposure. In situations with challenging lighting conditions, e.g. when recording a screen, optimizing the exposure manually can improve the quality of the scene video.
 
 ## Audio
-A microphone is integrated into the Neon module. Recorded audio will be part of the resulting scene video.
+
+<Badge>Pupil Cloud</Badge><Badge>Neon Player</Badge>
+Stereo microphones are integrated into the Neon module. Recorded audio will be part of the resulting scene video.
 
 Audio recording is disabled in the Neon Companion app by default and can be enabled in the settings.
 
 ## Movement (IMU Data)
-The Neon module is equipped with a 9-DoF [inertial measurement unit](https://invensense.tdk.com/products/motion-tracking/9-axis/icm-20948/) (IMU) featuring an accelerometer, gyroscope, and magnetometer. The accelerometer and gyroscope measure linear acceleration and angular velocity, respectively, and are provided as raw values. A fusion engine also combines these values with magnetometer readings to estimate the module's absolute orientation relative to magnetic north and gravity as a quaternion. Note that in order to obtain precise absolute yaw readings, the magnetometer needs to be pre-calibrated. See how in [this guide](/neon/how-tos/data-collection-with-the-companion-app/calibrate-the-imu-for-accurate-yaw-orientation).
 
-The IMU is sampled at 110 Hz. When downloading recordings from Pupil Cloud the IMU's orientation in Euler angles (i.e. roll, pitch, and yaw) is also available.
+<Badge>Real-time</Badge><Badge>Pupil Cloud</Badge><Badge>Neon Player</Badge>
+The Neon module is equipped with a 9-DoF [inertial measurement unit](https://invensense.tdk.com/products/motion-tracking/9-axis/icm-20948/) (IMU) featuring an accelerometer, gyroscope, and magnetometer. The accelerometer and gyroscope measure linear acceleration and angular velocity, respectively, and are provided as raw values.
 
-The IMU is located in the top bar of the module and its coordinate system is oriented with the x-axis pointing to the right, the y-axis pointing in front, and the z-axis pointing upwards.
+A fusion engine also combines these values with magnetometer readings to estimate the module's absolute orientation relative to magnetic north and gravity as a quaternion. Note that in order to obtain precise absolute yaw readings, the magnetometer needs to be [calibrated](/data-collection/calibrating-the-imu/).
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/neon/imu_coordinate_system.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
-
-Pitch is defined as a rotation around the x-axis with a value range of -90° to +90°. Yaw and roll are rotations around the y- and z-axis, respectively, with value ranges of -180° to +180°.
+The IMU is located in the top bar of the module and is sampled at 220 Hz. Its coordinate system is oriented with the x-axis pointing to the right, the y-axis pointing in front, and the z-axis pointing upwards.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/neon/imu_pitch_yaw_roll.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![IMU Coordinate System](./imu-xyz-black.jpg)
 
 When relating data from the IMU to things visible in the scene camera, it may be necessary to align their respective 3D coordinate systems. The IMU's coordinate system is rotated by 102° around the x-axis in relation to the scene camera's coordinate system.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/neon/imu_scene_camera.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![IMU Scene Camera](./imu-scene_camera-black.jpg)
+
+### Euler Angles
+
+<Badge>Pupil Cloud</Badge><Badge>Neon Player</Badge>
+When exporting recordings from Pupil Cloud or Neon Player the IMU's orientation in Euler angles (i.e. roll, pitch, and yaw) is also available.
+
+Pitch is defined as a rotation around the x-axis with a value range of -90° to +90°. Yaw and roll are rotations around the y- and z-axis, respectively, with value ranges of -180° to +180°.
+
+![IMU Pitch, Yaw, Roll](./imu-pitch_yaw_roll-black.jpg)
diff --git a/neon/data-collection/events/index.md b/neon/data-collection/events/index.md
new file mode 100644
index 000000000..af330566a
--- /dev/null
+++ b/neon/data-collection/events/index.md
@@ -0,0 +1,12 @@
+# Events
+You can annotate key points in time in your recordings using **Events**. This could for example be the start and end of a stimulus presentation in your experiment. Alternatively you could create an event to mark an anomaly that occured during data collection to later exclude this section from your analysis.
+
+An event is essentially a timestamp in a recording with an assigned name. All events associated with a recording are saved as part of it and can be accessed afterwards.
+
+In [Pupil Cloud](/pupil-cloud/), events can also be used in the definition of [enrichments](/pupil-cloud/enrichments/) to indicate what sections of your recordings should get processed. See [here](/pupil-cloud/enrichments/) for details.
+
+## Creating Events
+**At recording time**, you can use the [Monitor App](/data-collection/monitor-app/) to create events manually. Alternatively, you can use the [real-time API](/real-time-api/tutorials/) to create events programmatically. See for example [this guide](/real-time-api/track-your-experiment-progress-using-events/) on using the real-time API to automatically track progress of an experiment.
+
+**Post hoc** you can add events to recordings in [Pupil Cloud](/pupil-cloud/).
+
diff --git a/neon/data-collection/first-recording/google-play-badge.png b/neon/data-collection/first-recording/google-play-badge.png
new file mode 100644
index 000000000..c77b7464b
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diff --git a/src/neon/getting-started/first-recording.md b/neon/data-collection/first-recording/index.md
similarity index 67%
rename from src/neon/getting-started/first-recording.md
rename to neon/data-collection/first-recording/index.md
index e9aca1b72..1babb5cce 100644
--- a/src/neon/getting-started/first-recording.md
+++ b/neon/data-collection/first-recording/index.md
@@ -1,56 +1,44 @@
----
-description: Beginner guide to making your first Neon recording.
----
+# Make Your First Recording
 
-# Make your first recording
-
-Using your Neon eye tracking system for the first time? 
+Using your Neon eye tracking system for the first time?
 
 Follow the steps below to make your first recording!
 
-<v-divider></v-divider>
-
-## 1. Set up your new Companion Device.
+## 1. Set Up Your New Companion Device.
 
 The Companion Device included in your Neon case is a brand-new device. It has never been turned on, so it will require setup.
 
 Create a new Google account or use an existing Google account during setup.
 
-## 2. Install and start the Neon Companion app.
+## 2. Install and Start the Neon Companion App.
 
 Next, install the Neon Companion app on your device:
 
 - Launch the **Google Play Store** app. It is already installed by default on your Companion Device.
-- Search for **Neon Companion** in the Google Play Store and click install.
+- Search for [**Neon Companion**](https://play.google.com/store/apps/details?id=com.pupillabs.neoncomp) in the Google Play Store and click install.
 - Start the Neon Companion app when the installation has finished.
 - A couple of permission prompts will appear, which you need to accept.
 - First-time users need to sign up for a [Pupil Cloud](https://cloud.pupil-labs.com/) account. Sign up using your Google account, or create an account with an email address and password.
 
-<div class="pb-4" style="display:grid;grid-template-columns:1fr 1fr;gap:40px;">
+<div class="pb-4" style="display: flex; align-items: center; justify-content: center;">
   <a href="https://play.google.com/store/apps/details?id=com.pupillabs.neoncomp" target="_blank">
-  <v-img
-    :src="require('../../media/invisible/getting-started/google-play-badge.png')"
-    style="width:80%;"
-    contain
-  >
-  </v-img>
+
+![Google Play Store](./google-play-badge.png)
+
   </a>
-  <v-img
-    :src="require('../../media/neon/neon_companion.jpg')"
-    style="width:80%;"
-    contain
-  >
-  </v-img>
+  
+![Neon Companion App](/ne-companion_app_logo-bg.png)
+  
 </div>
 
 ## 3. Follow the Setup Instructions on the Screen
 
-- As part of the setup process, you can enable uploading recordings to [**Pupil Cloud**](https://cloud.pupil-labs.com/).
+- As part of the setup process, you can enable uploading recordings to [Pupil Cloud](https://cloud.pupil-labs.com/).
 - Pupil Cloud is an online storage and analysis platform for eye tracking recordings. It makes it easy to get recordings off of the phone and includes various algorithms for processing them. Uploading data to Pupil Cloud is optional, but some features are not available without it (e.g. obtaining the 200 Hz gaze or fixations signal).
 - You can change this setting at any time in the app settings.
-- You will also be asked to create your first **wearer profile**. Neon uses wearer profiles to distinguish who is wearing the glasses.
+- You will also be asked to create your first [**wearer profile**](/data-collection/wearers/). Neon uses wearer profiles to distinguish who is wearing the glasses.
 
-## 4. Open the live Preview
+## 4. Open the Live Preview
 
 Now, let's see some eye tracking in action!
 
@@ -59,23 +47,18 @@ Now, let's see some eye tracking in action!
 
 Put on the glasses and give it a try!
 
-
 <div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    :src="require('../../media/neon/open_the_live_preview.jpg')"
-    max-width=100%
-  >
-  </v-img>
+
+![Live Preview](./open_the_live_preview.jpg)
+
 </div>
 
-## 5. Make your first Recording
+## 5. Make Your First Recording
 
 Press the round record button on the home view to start recording. Once you are done press the button again and tap save.
 
-## 6. Playback and download
+## 6. Playback and Download
 
 Navigate to the **Recordings view** and click the recording you just made to play it! If you enabled the upload of recordings to Pupil Cloud, you should see that the recording has already started uploading!
 
-<v-divider></v-divider>
-
 Now that you have made a recording, let's explore what you can do with it! In the next article, you will get an overview of the software ecosystem at your disposal.
diff --git a/src/media/neon/neon_companion.jpg b/neon/data-collection/first-recording/neon_companion.jpg
similarity index 100%
rename from src/media/neon/neon_companion.jpg
rename to neon/data-collection/first-recording/neon_companion.jpg
diff --git a/src/media/neon/open_the_live_preview.jpg b/neon/data-collection/first-recording/open_the_live_preview.jpg
similarity index 100%
rename from src/media/neon/open_the_live_preview.jpg
rename to neon/data-collection/first-recording/open_the_live_preview.jpg
diff --git a/neon/data-collection/index.md b/neon/data-collection/index.md
new file mode 100644
index 000000000..884f07589
--- /dev/null
+++ b/neon/data-collection/index.md
@@ -0,0 +1,10 @@
+# Data Collection with Neon
+Data collection is a key step for any application of Neon! In this section you can learn everything about it, starting with how to make [your first recording](/data-collection/first-recording/)!
+
+You can find an overview of what data is contained in Neon recordings including all the [data streams](/data-collection/data-streams/) from the various sensors, as well as any additional data like [events](/data-collection/events/), [wearers](/data-collection/wearers/), and [templates](/data-collection/templates/).
+
+You can find introductions on how to use the Neon Companion App, e.g. on [Offset Correction](/data-collection/offset-correction/), and how-to guides on common tasks during data collection, e.g. [Time Synchronization](/data-collection/time-synchronization/).
+
+Documentation on useful software and integrations for data collection is also available, see e.g. [Monitor App](/data-collection/monitor-app/) or [Lab Streaming Layer](/data-collection/lab-streaming-layer/).
+
+Finally, you can find a list of [troubleshooting](/data-collection/troubleshooting/) tips and tricks for common issues during data collection.
\ No newline at end of file
diff --git a/neon/data-collection/lab-streaming-layer/index.md b/neon/data-collection/lab-streaming-layer/index.md
new file mode 100644
index 000000000..2bf7176d9
--- /dev/null
+++ b/neon/data-collection/lab-streaming-layer/index.md
@@ -0,0 +1,2 @@
+# Lab Streaming Layer
+This page is still a work in progress. To use LSL with Neon you need to use our [LSL Relay](https://github.com/pupil-labs/lsl-relay). More documentation is coming soon!
\ No newline at end of file
diff --git a/neon/data-collection/measuring-the-IED/index.md b/neon/data-collection/measuring-the-IED/index.md
new file mode 100644
index 000000000..91eec21b2
--- /dev/null
+++ b/neon/data-collection/measuring-the-IED/index.md
@@ -0,0 +1,2 @@
+# Measuring the Inter-Eye-Distance (IED) of a Subject
+Coming soon!
\ No newline at end of file
diff --git a/src/neon/how-tos/data-collection/monitor-your-data-collection-in-real-time.md b/neon/data-collection/monitor-app/index.md
similarity index 67%
rename from src/neon/how-tos/data-collection/monitor-your-data-collection-in-real-time.md
rename to neon/data-collection/monitor-app/index.md
index 2400cb8f5..9c7a27442 100644
--- a/src/neon/how-tos/data-collection/monitor-your-data-collection-in-real-time.md
+++ b/neon/data-collection/monitor-app/index.md
@@ -1,22 +1,14 @@
----
-description: Introduction to the Neon Monitor app.
----
+# Monitor Your Data Collection in Real-Time
 
-# Monitor your Data Collection in Real-Time
-
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../../media/invisible/getting-started/pi-monitor-app.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Monitor App](./monitor-app.jpg)
 
 Using the **Neon Monitor** app you can easily monitor your data collection in real-time and remote control all your Neons from another device. It's a web-app that can be opened in any browser on a computer, tablet or phone! The only requirement is that the Neon Companion device and the device you use to access the Monitor app are connected to the same network.
 
 To access the Monitor app make sure the Neon Companion app is running and visit the page [neon.local:8080](http://neon.local:8080) on your monitoring device.
 
-**Pro-Tip**: The Neon Companion app can display a QR code that gets you straight to the monitor website. Just select `Streaming` in the menu!
+::: tip
+The Neon Companion app can display a QR code that gets you straight to the monitor website. Just select `Streaming` on the home screen!
+:::
 
 
 ## The App's User Interface
@@ -24,15 +16,9 @@ Once the page has loaded, you will be presented with a live stream of the scene
 
 If you have multiple Neons connected to the network, you can switch between devices using the switch button.
 
-Using the various event buttons, you can remotely save an [event](/neon/basic-concepts/events) in a recording to mark points of interest. In the settings view you can customize the according event names.
+Using the various event buttons, you can remotely save an [event](/data-collection/events/) in a recording to mark points of interest. In the settings view you can customize the according event names.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../../media/invisible/how-tos/monitor-ui.png')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Monitor App UI](./monitor-ui.png)
 
 ## Connection Problems?
 
@@ -46,6 +32,6 @@ If you still have trouble, please reach out to us in [chat](https://pupil-labs.c
 
 The Neon Monitor app allows you to easily monitor your data collection and remotely control all your Neons.
 
-If you want to go further and get real-time access to the generated data for custom processing, please check out our [real-time API](/neon/real-time-api/introduction/).
+If you want to go further and get real-time access to the generated data for custom processing, please check out our [real-time API](/real-time-api/tutorials/).
 
-If you want to save events programmatically in real-time during your data collection, check out our how-to guide on [Tracking your Experiment Progress using Events](/neon/real-time-api/track-your-experiment-progress-using-events/) using the real-time API.
\ No newline at end of file
+If you want to save events programmatically in real-time during your data collection, check out our how-to guide on [Tracking your Experiment Progress using Events](/real-time-api/track-your-experiment-progress-using-events/) using the real-time API.
\ No newline at end of file
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diff --git a/neon/data-collection/offset-correction/index.md b/neon/data-collection/offset-correction/index.md
new file mode 100644
index 000000000..e36fd82a2
--- /dev/null
+++ b/neon/data-collection/offset-correction/index.md
@@ -0,0 +1,2 @@
+# Using Offset Correction to improve Gaze Accuracy
+Coming soon!
\ No newline at end of file
diff --git a/neon/data-collection/psychopy/index.md b/neon/data-collection/psychopy/index.md
new file mode 100644
index 000000000..ba27087ed
--- /dev/null
+++ b/neon/data-collection/psychopy/index.md
@@ -0,0 +1,2 @@
+# PsychoPy
+This page is still a work in progress. To use PsychoPy with Neon you need to use [this](https://www.psychopy.org/api//iohub/device/eyetracker_interface/PupilLabs_Neon_Implementation_Notes.html) dedicated plugin. More documentation is coming soon!
\ No newline at end of file
diff --git a/neon/data-collection/recordings/index.md b/neon/data-collection/recordings/index.md
new file mode 100644
index 000000000..1ab2ff740
--- /dev/null
+++ b/neon/data-collection/recordings/index.md
@@ -0,0 +1,15 @@
+# Recordings
+A recording starts and stops when you press the record button in the Neon Companion app. While this should feel similar to recording a regular video on your phone, there is a lot more happening behind the scenes. When you are recording with the Neon Companion app, you are capturing not only video data but several more sensors (see [Data Streams](/data-collection/data-streams/)).
+
+Recordings are designed to be as robust as possible. If at any point the Neon module is temporarily disconnected from the Companion phone, it will automatically start capturing again as soon as it is reconnected. You could start a recording with no Neon connected and plug it in at a later time. As soon as it is connected, data will be captured.
+
+The Neon Companion app has several more features to ensure robust data collection and will e.g. warn you in case the Companion device's battery is running low or if you run out of storage space.
+
+## Events, Wearers, & Templates
+When making a recording you can capture various additional data to record things like metadata or key events that happened during data collection. These will be saved as part of the recording itself.
+
+[**Events**](/data-collection/events/) are key points in time in a recording that have been marked.
+
+[**Wearers**](/data-collection/wearers/) are the people who wear the Neon device while recording.
+
+[**Templates**](/data-collection/templates/) are questionnaires that can be filled out at recording time.
\ No newline at end of file
diff --git a/src/neon/basic-concepts/recordings-wearers-and-templates.md b/neon/data-collection/templates/index.md
similarity index 50%
rename from src/neon/basic-concepts/recordings-wearers-and-templates.md
rename to neon/data-collection/templates/index.md
index 9e29c117a..c37e36b77 100644
--- a/src/neon/basic-concepts/recordings-wearers-and-templates.md
+++ b/neon/data-collection/templates/index.md
@@ -1,40 +1,12 @@
----
-permalink: /neon/basic-concepts/recordings-wearers-and-templates
-description: Introduction to recordings, wearers and templates, and their usage in Pupil Cloud.
----
-
-# Recordings, Wearers & Templates
-There are a number of organizational constructs we use to make working with our tools flexible and reliable:
-
-A [recording](/neon/basic-concepts/recordings-wearers-and-templates/#recordings) is made each time you press record in the Neon Companion app. Each recording has a [wearer](/neon/basic-concepts/recordings-wearers-and-templates/#wearers) and a [template](/neon/basic-concepts/recordings-wearers-and-templates/#templates) associated with it. Once uploaded to Pupil Cloud you can add recordings to [projects](/neon/basic-concepts/projects-and-workspaces/#projects), this creates a context for you to add [enrichments](/enrichments) to aggregate and analyse your data.
-
-Finally, [workspaces](/neon/basic-concepts/projects-and-workspaces/#workspaces) are used to keep recordings, wearers, templates, and projects organized and isolated so you can share them with clients and collaborators.
-
-
-## Recordings
-A recording starts and stops when you press the record button in the Neon Companion app. While this should feel similar to recording a regular video on your phone, there is a lot more happening behind the scenes. When you are recording with the Neon Companion app, you are capturing not only video data but several more sensors (see [Data Streams](/neon/basic-concepts/data-streams)).
-
-Recordings are designed to be as robust as possible. If at any point the Neon module is temporarily disconnected from the Companion phone, it will automatically start capturing again as soon as it is reconnected. You could start a recording with no Neon glasses connected and plug them in at a later time. As soon as they are connected, data will be captured.
-
-The Neon Companion app has several more features to ensure robust data collection and will e.g. warn you in case the Companion device's battery is running low or if you run out of storage space.
-
-## Wearers
-Wearers are the people wearing your Neon. In a typical study, each subject would be a wearer. Every recording you make is assigned to a wearer to help you organize your recordings. You can create new wearers on the fly in the Neon Companion app or in advance in Pupil Cloud.
-
-Every wearer is assigned a unique ID, such that you can edit the name and profile picture at any time without mixing up your recordings.
-
-In some cases, it can make sense to use the offset correction feature to compensate for systematic offsets in the predictions of individual wearers. To access this feature click on the name of the currently selected wearer on the home screen and then click "Adjust". The offset you set will be saved in the wearer profile and applied to future recordings of this subject automatically.
-
-
-## Templates
+# Templates
 Templates are used to add meta-data to a recording (e.g. age, gender, or location). They are forms that can be filled out at recording time to document important information for your study. The responses will be saved alongside the recording. Further, templates define a naming scheme for recordings. If, for example, you add a field for the `Experiment Name` to the form, you can set this value to be added to your recording names automatically. This is useful if you have a pre-defined structure for your study.
 
-### Form for Meta-Data
+## Form for Meta-Data
 You can create new templates in Pupil Cloud and customize them to your use case. You can add as many form fields as you want, including text fields and multiple-choice fields.
 
 You can set individual fields of the template to be "required", such that a recording can not be stopped before filling out those fields.
 
-Before your templates become available for selection in the Neon Companion app, you need to **publish** them. After they are published, they can no longer be edited to ensure consistency between responses.
+Before your templates become available for selection in the Companion app, you need to **publish** them. After they are published, they can no longer be edited to ensure consistency between responses.
 
 Some example use-cases for template forms include:
 
@@ -42,7 +14,7 @@ Some example use-cases for template forms include:
 - **Recording Structure**: If your recording schedule has a known structure, e.g. different recording phases or one recording per week, you can set up a template to note down the respective phase or week for each recording.
 - **Documenting the unplanned**: Data collection does not always go as planned. Sometimes a subject did not quite understand the instructions and sometimes something went wrong in the experiment workflow. Using templates you can immediately note down what happened and flag recordings that will require further inspection. This will be saved as part of the recording, so you do not have to keep a separate list of notes.
 
-### Naming Scheme for Recordings 
+## Naming Scheme for Recordings 
 The only required field when creating a new template is the `Recording Name`, which determines the naming scheme of your recordings. Any text you type in this field will be included in the recording names. You can add form fields to the `Recording Name` as well, to include the corresponding values entered at recording time to the recording name. Additionally, you can add the following pre-defined elements to the name:
 
 - **template_name**: The name of this template.
@@ -51,15 +23,9 @@ The only required field when creating a new template is the `Recording Name`, wh
 - **time**: The recording start time. Format `HH:mm:ss`.
 - **uuid**: The unique ID of the recording. Format `uuidv4`.
 
-#### Example
+### Example
 The below template definition is an example for a data collection called `Museum Study`. This collection is happening with several subjects in multiple sessions. We can track which subject a recording was made with using the associated wearer profile. To track what session a recording belongs to, we have a multiple-choice form field in the template.
 
 In the `Recording Name` field of the template, we defined a naming scheme that conveniently summarizes the recording in the context of this study. It uses a mix of custom text (the gray "chips"), the wearer name, and the multiple-choice form field about the session (which has the form field ID `2255e141`). This scheme will create names like `Museum Study - Jane - Session 2`.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/explainers/template-naming-example.png')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Template Naming Example](./template-naming-example.png)
\ No newline at end of file
diff --git a/neon/data-collection/templates/template-naming-example.png b/neon/data-collection/templates/template-naming-example.png
new file mode 100644
index 000000000..745b2fa4a
Binary files /dev/null and b/neon/data-collection/templates/template-naming-example.png differ
diff --git a/src/neon/how-tos/data-collection/achieve-super-precise-time-sync.md b/neon/data-collection/time-synchronization/index.md
similarity index 89%
rename from src/neon/how-tos/data-collection/achieve-super-precise-time-sync.md
rename to neon/data-collection/time-synchronization/index.md
index 15b3ee195..e035c1243 100644
--- a/src/neon/how-tos/data-collection/achieve-super-precise-time-sync.md
+++ b/neon/data-collection/time-synchronization/index.md
@@ -1,8 +1,4 @@
----
-description: How-To guide on achieving super-precise time sync using the real-time API.
----
-
-# Achieve super-precise Time Sync
+# Achieve Super-Precise Time Sync
 For some applications, it is critical to accurately synchronize your Neon with another clock. That could be from a second Neon device, an external sensor, or a computer you use for stimulus presentation. 
 
 Neon provides UTC timestamps for all the data it generates, which makes it easy to sync the data to anything. Those timestamps are generated using the clock of the Companion device. However, digital clocks can suffer from drift, meaning that they sometimes run slightly too fast or slow. Over time this error accumulates and can lead to errors when comparing two clocks.
@@ -31,7 +27,7 @@ NTP_SERVER=north-america.pool.ntp.org
 ### Improving Synchronization further
 While an error of `<20 ms` is sufficient for most applications, some require even better synchronization. To achieve this, you can estimate the offset between the clock used by Neon and the external clock down to single millisecond accuracy.
 
-This can be done using the `TimeOffsetEstimator` of the [real-time API](/neon/real-time-api/introduction/). Using the following code, you can estimate the offset between the Neon clock and the clock of the host executing the code.
+This can be done using the `TimeOffsetEstimator` of the [real-time API](/real-time-api/tutorials/). Using the following code, you can estimate the offset between the Neon clock and the clock of the host executing the code.
 ::: tip
 **Dependency**: `pip install "pupil-labs-realtime-api>=1.1.0"`
 :::
@@ -61,5 +57,5 @@ The calculation would look like this:
 companion_app_time = external_clock_time - offset
 ```
 ::: tip
-**Note:** In very busy wifi networks the transfer speeds might fluctuate wildly and potentially impact the clock offset measurement. In such cases it would be helpful to connect the phone to the network via [ethernet](/neon/glasses-and-companion/companion-device/#using-a-usb-c-hub) instead.
+**Note:** In very busy wifi networks the transfer speeds might fluctuate wildly and potentially impact the clock offset measurement. In such cases it would be helpful to connect the phone to the network via [ethernet](/hardware/using-a-usb-hub/) instead.
 :::
diff --git a/src/neon/how-tos/data-collection/transfer-recordings-via-usb.md b/neon/data-collection/transfer-recordings-via-usb/index.md
similarity index 78%
rename from src/neon/how-tos/data-collection/transfer-recordings-via-usb.md
rename to neon/data-collection/transfer-recordings-via-usb/index.md
index 5f9b30fb3..7a28ff361 100644
--- a/src/neon/how-tos/data-collection/transfer-recordings-via-usb.md
+++ b/neon/data-collection/transfer-recordings-via-usb/index.md
@@ -1,13 +1,7 @@
----
-description: How-To guide on transferring recordings off of the Companion phone via USB.
----
-
 # Transfer Recordings via USB
 
-
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
-The recommended way for transferring recordings off of the phone is to upload them to Pupil Cloud. For some use-cases, however, this may not be possible, and users may want to transfer the recordings via USB.
+The recommended way for transferring recordings off of the phone is to upload them to [Pupil Cloud](/pupil-cloud/). For some use-cases, however, this may not be possible and users may want to transfer the recordings via USB.
 :::
 
 To transfer recordings directly to a computer you first need to export the recordings to the Android filesystem. Then you need to access the filesystem to copy the data over to your computer. 
@@ -43,12 +37,9 @@ to the Neon Companion app from your backup location (including Pupil Cloud, a la
 This means that if you delete the recordings prior to uploading them to Pupil Cloud, they cannot be uploaded at a later date.
 
 ::: tip
-<v-icon large color="info">info_outline</v-icon>
 On **macOS**, you need the <a href="https://www.android.com/filetransfer/" alt="Android File Transfer website">Android File Transfer</a> to browse and transfer files between your Mac computer and your Android device.
 :::
 
 :::tip
-<v-icon large color="info">info_outline</v-icon>
-Recordings transferred locally will contain gaze data at **~120 Hz** (estimated in real-time on the Companion Device). Only 
-recordings uploaded to Pupil Cloud are densified to 200 Hz.
+Recordings transferred locally will only contain gaze data that was generated in real-time. On the OnePlus 8 the framerate of real-time gaze can drop to **~120 Hz**. On the One Plus 10 the framerate is ~200 Hz unless there is additional load on the phone. Only recordings uploaded to Pupil Cloud are always densified to 200 Hz.
 :::
diff --git a/neon/data-collection/troubleshooting/index.md b/neon/data-collection/troubleshooting/index.md
new file mode 100644
index 000000000..269a64a57
--- /dev/null
+++ b/neon/data-collection/troubleshooting/index.md
@@ -0,0 +1,47 @@
+# Troubleshooting
+Below you can find a list of issues we have observed in the past and recommendations on how to fix them. If you can not find your issue in the list, please reach out to us on [Discord](https://pupil-labs.com/chat/) or via email to `info@pupil-labs.com`.
+
+## The Companion Device Is Vibrating and a Red LED Is Blinking in the Neon Module!
+The vibrations and the blinking LED try to grab the wearer's attention to notify them of a problem that may critically hurt the ongoing recording. To get details on the problem, open the Neon Companion app, which will show an error description.
+
+Potential problems include:
+- Low battery on the Companion Device.
+- Low storage space remaining on the Companion Device.
+- Unstable connection between Neon and the Companion device during a recording.
+
+## I Accidentally Updated My Companion Device to an Incompatible Android Version!
+You need to rollback the Android version to be compatible again. Please note that all data on the phone will be lost during the rollback, so make backups accordingly.
+
+::: tip
+The instructions below require you to copy files to your phone. If you are not familiar
+with this procedure, see steps 1-5 from [these instructions](/data-collection/transfer-recordings-via-usb/).
+:::
+
+**OnePlus 8/8T**
+
+If you upgraded to Android 12 or newer and want to roll back, follow these steps:
+1. Download the ROM package for your corresponding phone model to your computer
+
+   - [OnePlus 8](https://drive.google.com/file/d/1WtZ7bVwWPwYIGq4aWadeG-7MLu-KXhIS/view?usp=sharing)
+   - [OnePlus 8T](https://drive.google.com/file/d/1K2VI-R4gGN8mdS6FxLiRo48ICF_UBB7A/view?usp=sharing)
+
+1. Download the [official Rollback APK](https://oxygenos.oneplus.net/OPLocalUpdate_For_Android12.apk) to your computer
+1. Copy the downloaded ROM and APK to the top level of the device's Internal Storage (do not put it inside of any folders)
+1. On the phone,
+   1. open the pre-installed `Files` or `File Manager` application,
+   1. navigate to the device's Internal Storage, and
+   1. select the `OPLocalUpdate_For_Android12.apk`.
+
+   This should start the install process for the application.
+   (You might need to grant install permissions to the `Files` application. A corresponding dialogue will guide
+   you if this is the case.)
+1. Open the newly installed `System Update` app
+1. Tap the ⚙️ icon in the top right
+1. Select the downgrade ROM from step 4
+1. Read and confirm the warning
+1. Enter the phone's pin
+1. Wait until the system update has been installed successfully
+1. Tap `Reboot`
+
+## The Scene Camera and Eye Cameras Are Not Being Recorded or Recognized in the Neon Companion App!
+Make sure you use the included black USB-C to USB-C connector cable rather than a third-party cable. Third-party USB cables vary widely in their quality and can lead to loss of connection.
diff --git a/neon/data-collection/wearers/index.md b/neon/data-collection/wearers/index.md
new file mode 100644
index 000000000..ad892e3b9
--- /dev/null
+++ b/neon/data-collection/wearers/index.md
@@ -0,0 +1,8 @@
+# Wearers
+Wearers are the people wearing Neon. In a typical study, each subject would be a wearer. Every recording you make is assigned to a wearer to help you organize your recordings. You can create new wearers on the fly in the Neon Companion app or in advance using [Pupil Cloud](/pupil-cloud/).
+
+Every wearer is assigned a unique ID, such that you can edit the name and profile picture at any time without mixing up your recordings.
+
+Wearer profiles also allow you to save **physiological parameters** of a subject in order to improve the quality of the eye tracking data. The inter eye distance (IED) for example can be entered to improve the accuracy of [pupil diameter](/data-collection/data-streams/#pupil-diameters) estimates (see [here](/data-collection/measuring-the-IED/) for a tutorial on that).
+
+Gaze estimates for some subjects with rare physiologies can be affected by a systematic offset. In those cases you can define an **offset correction** in the wearer profile to compensate this effect. Learn more about this in the [Offset Correction guide](/data-collection/offset-correction/).
\ No newline at end of file
diff --git a/neon/hardware/clean-and-disinfect/index.md b/neon/hardware/clean-and-disinfect/index.md
new file mode 100644
index 000000000..e04b7f078
--- /dev/null
+++ b/neon/hardware/clean-and-disinfect/index.md
@@ -0,0 +1,11 @@
+# Cleaning & Disinfecting
+
+Neon contains cameras and other sensitive electronic components, so be careful when cleaning. The eye cameras, world camera and USB connection points are especially sensitive to liquid.
+
+::: danger
+Do **not** rinse or wet-clean Neon as this may damage the electronics.
+:::
+
+You can clean the scene camera and eye camera lenses carefully with the provided microfiber cloth if dust is visible. Similarly, you clean the lenses of your Neon frames if they have any.
+
+If desired, you can disinfect the frames between uses. The disinfectant we use is made from 22.0g Ethanol, 21.0g 2-Propanol, 8.0g 1-Propanol per 100 grams of solution. One such brand name that we use is "Vibasept". We use the wetted towelettes (wipes). Similar products should be available globally under different brand names.
\ No newline at end of file
diff --git a/neon/hardware/compatible-devices/index.md b/neon/hardware/compatible-devices/index.md
new file mode 100644
index 000000000..dd44af810
--- /dev/null
+++ b/neon/hardware/compatible-devices/index.md
@@ -0,0 +1,33 @@
+# Companion Device
+The Companion device is a flagship Android smartphone. It is a regular phone that is not customized or modified in any way. To ensure maximum stability and performance we can only support a small number of carefully selected and tested models. The Neon Companion app is tuned to work with these particular models as we require full control over various low-level functions of the hardware. 
+
+The models we currently support are OnePlus 8, OnePlus 8T, and OnePlus 10 Pro.
+
+If you want to replace or add an extra Companion device you can purchase it [directly from us](https://pupil-labs.com/products/neon) or from any other distributor. The Neon Companion app is free and can be downloaded from the [Play Store](https://play.google.com/store/apps/details?id=com.pupillabs.neoncomp).
+
+Using a fully charged OnePlus 10 device you get around 4 hours of continuous recording time. You can extend this duration by simultaneously charging the phone during a recording [using a powered USB-C hub](/hardware/using-a-usb-hub/).
+
+## Companion Device Updates
+
+### Neon Companion app
+Make sure to update the Neon Companion app on a regular basis. The latest version will always be available on the 
+[Play Store](https://play.google.com/store/apps/details?id=com.pupillabs.neoncomp).
+
+### Android OS
+We ship each Companion Device with a specific Android Version, carefully tested to ensure robustness and stability.
+
+:::danger
+We recommend that you don't allow Android system updates on your device. Some Android versions have issues with accessing 
+USB devices, rendering them incompatible with Neon.
+:::
+
+If you purchased your device from a third-party distributor, you'll need to ensure that the correct Android version is installed. The currently 
+supported Android versions are as follows:
+- On **OnePlus 8** and **8T**: Android 11
+- On **OnePlus 10 Pro**: Android 12 and 13
+
+:::tip
+Should you have upgraded to an incompatible Android version by accident, you have the
+option to rollback to a compatible version. You can find the instructions
+[here](/data-collection/troubleshooting/#i-accidentally-updated-my-companion-device-to-an-incompatible-android-version)
+:::
\ No newline at end of file
diff --git a/src/media/neon/bare_metal.jpg b/neon/hardware/make-your-own-frame/bare_metal.jpg
similarity index 100%
rename from src/media/neon/bare_metal.jpg
rename to neon/hardware/make-your-own-frame/bare_metal.jpg
diff --git a/neon/hardware/make-your-own-frame/index.md b/neon/hardware/make-your-own-frame/index.md
new file mode 100644
index 000000000..6ee4b7eb7
--- /dev/null
+++ b/neon/hardware/make-your-own-frame/index.md
@@ -0,0 +1,6 @@
+# Design Your Own Frame
+You can design your own custom frame and integrate Neon into whichever form factor you want. To support this, we offer the "Bare Metal" frame, which only includes the "nest" PCB and USB cable. These are the only components you need to operate the Neon module and you can design your custom frame around them.
+
+CAD models of the Neon module and nest are available [here](https://github.com/pupil-labs/neon-geometry). A model of the "Just act natural" frame is also included as a template to kickstart your design process!
+
+![Bare Metal Frame](./bare_metal.jpg)
\ No newline at end of file
diff --git a/neon/hardware/module-technical-overview/index.md b/neon/hardware/module-technical-overview/index.md
new file mode 100644
index 000000000..8b136905d
--- /dev/null
+++ b/neon/hardware/module-technical-overview/index.md
@@ -0,0 +1,23 @@
+# Technical Overview
+
+![Technical Overview](./technical_overview_1.jpg)
+
+The Neon module is a small powerhouse of sensors! It connects to the Companion device (Android phone) with a USB-C cable, which supplies it with electric power and compute power for processing. Find an overview of all components of Neon below!
+
+![Technical Overview](./technical_overview_2.jpg)
+
+- **Eye Cameras**: A binocular pair of infrared cameras with matching 850nm infrared illuminator **LEDs** are used to capture [eye videos](/data-collection/data-streams/#eye-videos). The raw data is saved with each recording and is used for real-time [gaze](/data-collection/data-streams/#gaze) estimation.
+
+- **IR LEDs**: One infrared LED is located on each arm of the module. The LEDs illuminate the eyes of the wearer to improve image quality in dark environments.
+
+- **Scene Camera**: A front-facing scene camera is located at the center of the module capturing [scene video](/data-collection/data-streams/#scene-video). A **microphone** is integrated into the module to capture [audio](/data-collection/data-streams/#audio). Capturing audio is optional and settable in the Neon Companion app settings.
+ 
+- **IMU**: A 9-degrees-of-freedom IMU is integrated into the module. It captures the [inertia](/data-collection/data-streams/#movement-imu-data) of the glasses, including translational acceleration, rotational speed, magnetic orientation, pitch, yaw, and roll.
+
+- **Data and Power Interface**: A USB connector is located at the front of the module. Through this connector, the module connects to a "nest" which is typically located in a glasses-like frame. Attached to the nest is a USB-C cable that connects to the Companion device.
+
+- **Serial Number QR**: A QR Code is located at the back of the module, which contains the serial number of the device.
+
+- **Mounting Screws**: The module is attached to the nest of a frame with two screws.
+
+- **Indicator LEDs**: The module has several indicator LEDs. The red LED will e.g. start blinking to indicate issues like a low battery.
\ No newline at end of file
diff --git a/src/media/neon/technical_overview_1.jpg b/neon/hardware/module-technical-overview/technical_overview_1.jpg
similarity index 100%
rename from src/media/neon/technical_overview_1.jpg
rename to neon/hardware/module-technical-overview/technical_overview_1.jpg
diff --git a/src/media/neon/technical_overview_2.jpg b/neon/hardware/module-technical-overview/technical_overview_2.jpg
similarity index 100%
rename from src/media/neon/technical_overview_2.jpg
rename to neon/hardware/module-technical-overview/technical_overview_2.jpg
diff --git a/neon/hardware/swapping-frames/index.md b/neon/hardware/swapping-frames/index.md
new file mode 100644
index 000000000..f3d0b5bc8
--- /dev/null
+++ b/neon/hardware/swapping-frames/index.md
@@ -0,0 +1,12 @@
+# Swapping Frames
+
+Many [different frames](https://pupil-labs.com/products/neon/shop) are available for the Neon module, which enables the usage of Neon in various applications. 
+
+All you need to do is to loosen the two screws fixating the Neon module into the nest of the first frame, plug the module into the nest of the second frame, and tighten the screws again. The screwdriver needed for this is a Hex 1.5.
+
+![Swapping Frames](./swap_frames.jpg)
+<!-- You can easily detach the Neon module from one frame and attach it to another. Check the video below to see how it's done. -->
+
+<!-- <video width="100%" controls>
+  <source src="./yellow.mp4" type="video/mp4">
+</video> -->
\ No newline at end of file
diff --git a/src/media/neon/swap_frames.jpg b/neon/hardware/swapping-frames/swap_frames.jpg
similarity index 100%
rename from src/media/neon/swap_frames.jpg
rename to neon/hardware/swapping-frames/swap_frames.jpg
diff --git a/neon/hardware/using-a-usb-hub/index.md b/neon/hardware/using-a-usb-hub/index.md
new file mode 100644
index 000000000..586e45ae2
--- /dev/null
+++ b/neon/hardware/using-a-usb-hub/index.md
@@ -0,0 +1,13 @@
+# Using a USB Hub
+The capabilities of the Companion device can be extended by connecting it to a USB-C hub. You can still connect Neon to the Companion device through the hub. For this to work, the hub needs to provide a USB-C port that supports data transfer (some USB-C ports only support power delivery!). 
+
+
+Most importantly using a hub allows you to:
+- **Charge the phone while recording**: if the hub supports power delivery, you can connect a power source to it to charge the Companion device even while it is recording. This allows to arbitrarily extend the recording duration.
+- **Connect an ethernet cable**: if the hub has an ethernet socket, you can connect the phone to the internet with it. This can be useful to increase the upload speed of recordings to Pupil Cloud or to transfer real-time data with very low latency.
+
+::: tip
+Not all USB-C hubs are compatible with Android and sometimes compatibility is difficult to check in advance! We have tested for example [this](https://www.amazon.de/dp/B08CKXNJZS/) hub successfully, which supports both power delivery and ethernet.
+
+Note that the original OnePlus charger is not compatible with regular hubs (including the linked one) because it uses non-standard power delivery. Other regular USB chargers should work though.
+:::
diff --git a/neon/index.md b/neon/index.md
new file mode 100644
index 000000000..0720cb055
--- /dev/null
+++ b/neon/index.md
@@ -0,0 +1,40 @@
+---
+# https://vitepress.dev/reference/default-theme-home-page
+layout: ProductPageLayout
+title: Home
+
+hero:
+  title: "Neon"
+  tagline: Everything you need to know about Neon & Pupil Cloud to power your eye tracking application!
+  image: "/neon/neon-overview.webp"
+  actions:
+    - theme: brand
+      text: Getting Started
+      link: /getting-started/
+    - theme: alt
+      text: Pupil Cloud
+      link: /pupil-cloud/
+
+cards:
+  - title: Hardware
+    details: The Neon Module, Neon frames, the Companion Device, and everything you need to know about them.
+    link: { text: View, href: "/neon/hardware/module-technical-overview/" }
+  - title: Data Collection
+    details: Neon comes with a lot of powerful tools for data collection. Learn how to use them here!
+    link: { text: View, href: "/neon/data-collection/" }
+  - title: Pupil Cloud
+    details: Pupil Cloud is a powerful tool for managing your data, analyzing your recordings, and collaborating with your team. It's our recommended tool for analysis.
+    link: { text: View, href: "/neon/pupil-cloud/" }
+  - title: Neon Player
+    details: Neon Player is an offline tool for playing back and exporting recordings.
+    link: { text: View, href: "/neon/neon-player/" }
+  - title: Real-Time API
+    details: You can access the data Neon generates in real-time and remote control it using its real-time API. Learn how it works here!
+    link: { text: View, href: "/neon/real-time-api/tutorials/" }
+  - title: Neon XR
+    details: Neon is can be integrated with VR, AR and other devices. Learn how it works here!
+    link: { text: View, href: "/neon/neon-xr/" }
+  - title: Chat
+    details: Come chat with us on Discord! Do you have an issues or questions? Just wanna say hi? Join the chat and drop us a message!
+    link: { text: View, href: "https://pupil-labs.com/chat", target: "_blank" }
+---
diff --git a/neon/neon-player/index.md b/neon/neon-player/index.md
new file mode 100644
index 000000000..7fd9e2849
--- /dev/null
+++ b/neon/neon-player/index.md
@@ -0,0 +1,19 @@
+---
+aside: false
+
+hero:
+  name: "Neon Player"
+  tagline: "Offline Recording Playback & Export."
+---
+<script setup>
+  import { VPHomeHero } from "vitepress/theme"
+</script>
+<VPHomeHero />
+
+![Neon Player UI](./ui.png)
+
+Use Neon Player to play back and export Neon recordings offline on your computer! You can download it [here](https://github.com/pupil-labs/neon-player/releases/tag/v4.0).
+
+Recordings you want to play can be pulled [directly off of the Companion device](/data-collection/transfer-recordings-via-usb/) or download them from Pupil Cloud (in the "Raw Android Data" format).
+
+We are still working on the documentation of Neon Player and will publish more soon. In the meantime, please reach out to us on [Discord](https://pupil-labs.com/chat/) if you run into any trouble!
\ No newline at end of file
diff --git a/neon/neon-player/ui.png b/neon/neon-player/ui.png
new file mode 100644
index 000000000..02013e3f5
Binary files /dev/null and b/neon/neon-player/ui.png differ
diff --git a/neon/neon-xr/index.md b/neon/neon-xr/index.md
new file mode 100644
index 000000000..da8215730
--- /dev/null
+++ b/neon/neon-xr/index.md
@@ -0,0 +1,12 @@
+---
+aside: false
+
+hero:
+  name: "Neon XR"
+  text: "Coming soon!"
+  tagline: "A VR integration for Neon in Unity."
+---
+<script setup>
+  import { VPHomeHero } from "vitepress/theme"
+</script>
+<VPHomeHero />
\ No newline at end of file
diff --git a/neon/package-lock.json b/neon/package-lock.json
new file mode 100644
index 000000000..320401d17
--- /dev/null
+++ b/neon/package-lock.json
@@ -0,0 +1,2810 @@
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diff --git a/neon/package.json b/neon/package.json
new file mode 100644
index 000000000..de70b61a5
--- /dev/null
+++ b/neon/package.json
@@ -0,0 +1,15 @@
+{
+  "devDependencies": {
+    "autoprefixer": "^10.4.16",
+    "postcss": "^8.4.31",
+    "pug": "^3.0.2",
+    "tailwindcss": "^3.3.5",
+    "vitepress": "^1.0.0-rc.24",
+    "vue-pug-plugin": "^2.0.3"
+  },
+  "scripts": {
+    "docs:dev": "vitepress dev",
+    "docs:build": "vitepress build",
+    "docs:preview": "vitepress preview"
+  }
+}
diff --git a/neon/postcss.config.js b/neon/postcss.config.js
new file mode 100644
index 000000000..12a703d90
--- /dev/null
+++ b/neon/postcss.config.js
@@ -0,0 +1,6 @@
+module.exports = {
+  plugins: {
+    tailwindcss: {},
+    autoprefixer: {},
+  },
+};
diff --git a/neon/public/Module_Front.png b/neon/public/Module_Front.png
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diff --git a/neon/pupil-cloud/enrichments/face-mapper/face_mapper_header.png b/neon/pupil-cloud/enrichments/face-mapper/face_mapper_header.png
new file mode 100644
index 000000000..125e758b3
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diff --git a/src/export-formats/enrichment-data/face-mapper.md b/neon/pupil-cloud/enrichments/face-mapper/index.md
similarity index 54%
rename from src/export-formats/enrichment-data/face-mapper.md
rename to neon/pupil-cloud/enrichments/face-mapper/index.md
index 963030438..4b63a6ecb 100644
--- a/src/export-formats/enrichment-data/face-mapper.md
+++ b/neon/pupil-cloud/enrichments/face-mapper/index.md
@@ -1,11 +1,18 @@
----
-permalink: /export-formats/enrichment-data/face-mapper
-description: Documentation of the exact export formats of Pupil Cloud.
----
-
 # Face Mapper
 
-## face_positions.csv
+![Face Mapper header image](./face_mapper_header.png)
+
+The Face Mapper enrichment robustly detects faces in the scene video. Detections consist of the bounding box of the face. This provides you with insight into _when_ and _where_ faces are visible to a subject.
+
+This enrichment automatically maps gaze data onto faces so that you can determine when a subject has been looking at them.
+
+Additionally, this enrichment also calculates the location of the most important facial landmarks in the image for each face: left eye, right eye, nose, left mouth corner, and right mouth corner.
+
+The face detection algorithm used under the hood for this enrichment is [RetinaFace](https://github.com/deepinsight/insightface/tree/master/detection/retinaface).
+
+## Export Format
+
+### face_positions.csv
 This file contains all the individual face detections.
 
 | Field | Description | 
@@ -28,7 +35,7 @@ This file contains all the individual face detections.
 |	**mouth right x [px]** | X coordinate of the right mouth corner in image coordinates in pixels. |
 |	**mouth right y [px]** | Y coordinate of the right mouth corner in image coordinates in pixels. |
 
-## gaze_on_face.csv
+### gaze_on_face.csv
 This file indicates which gaze samples are on faces (within the bounding box of detected faces).
 
 | Field | Description | 
@@ -38,10 +45,17 @@ This file indicates which gaze samples are on faces (within the bounding box of
 | **timestamp [ns]** | UTC timestamp in nanoseconds of the sample. Equal to the timestamp of the corresponding gaze sample.     |
 | **gaze on face** | Boolean indicating whether the gaze point is on a face.     |
 
-## fixations_on_face.csv
+### fixations_on_face.csv
 This file indicates which fixations are on faces (within the bounding box of detected faces).
 
-| Field | Description | 
-| -------- | -------- | 
-| **fixation id** | Identifier of the fixation event.     |
-| **fixation on face** | Boolean indicating whether the fixation is on a face.     |
\ No newline at end of file
+| Field                                 | Description | 
+| --------                              | -------- |
+| **section id**                        | Unique identifier of the corresponding section.     |
+| **recording id**                      | Unique identifier of the recording this sample belongs to.     |
+| **fixation id**                       | Identifier of the fixation. The counter starts at the beginning of the recording.     |
+| **start&nbsp;timestamp&nbsp;[ns]**    | UTC timestamp in nanoseconds of the start of the fixation.     |
+| **end timestamp [ns]**                | UTC timestamp in nanoseconds of the end of the fixation.     |
+| **duration [ms]**                     | Duration of the fixation in milliseconds.     |
+| **fixation on face**                  | Boolean indicating whether the fixation is on a face.     |
+| **fixation x [px]**                   | Float value representing the x-coordinate of the fixation in world camera pixel coordinates. This position is the average of all gaze samples within the fixation.     |
+| **fixation y [px]**                   | Same as "fixation x [px]" but for the 
diff --git a/neon/pupil-cloud/enrichments/index.md b/neon/pupil-cloud/enrichments/index.md
new file mode 100644
index 000000000..a39701779
--- /dev/null
+++ b/neon/pupil-cloud/enrichments/index.md
@@ -0,0 +1,12 @@
+# What Are Enrichments?
+Enrichments are tools that allow you to explore and visualize your data in new ways. These tools require complex algorithms and significant computational resources. Now, we put them at your fingertips, as you can run them with just a few clicks in Pupil Cloud. With enrichments, you can add new dimensions and derive new insights from your data. We can't wait to see how you use them!
+
+## What Can I Do With Enrichments?
+From mapping your gaze to real-world features of the environment, like surfaces, 3d objects, and faces, to aggregating and visualizing your data, enrichments can help you get the most out of your recordings. See below for a list of all available enrichments and their use cases.
+
+## Enrichment Sections
+Before you continue, note that all enrichments are defined based on a **start** and **end [event](/data-collection/events/)**. Those events are used to specify which sections of a recording an enrichment should be calculated on. The enrichment will be calculated on any recording in your project that contains the respective start and end events in the recording section between those two events.
+
+You can preview the results of most enrichments in the project editor by clicking on an enrichment section and playing the corresponding section of the recording. Every enrichment section has a unique ID, which is referenced in all enrichment exports.
+
+If a recording contains multiple instances of the start and end event, it will contribute multiple sections accordingly. You can use the auto-generated `recording.begin` and `recording.end` events to calculate enrichments on entire recordings.
\ No newline at end of file
diff --git a/neon/pupil-cloud/enrichments/marker-mapper/apriltags_tag36h11_0-23.jpg b/neon/pupil-cloud/enrichments/marker-mapper/apriltags_tag36h11_0-23.jpg
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diff --git a/neon/pupil-cloud/enrichments/marker-mapper/apriltags_tag36h11_24-47.jpg b/neon/pupil-cloud/enrichments/marker-mapper/apriltags_tag36h11_24-47.jpg
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diff --git a/src/export-formats/enrichment-data/marker-mapper.md b/neon/pupil-cloud/enrichments/marker-mapper/index.md
similarity index 52%
rename from src/export-formats/enrichment-data/marker-mapper.md
rename to neon/pupil-cloud/enrichments/marker-mapper/index.md
index 722a3b30f..386aaea49 100644
--- a/src/export-formats/enrichment-data/marker-mapper.md
+++ b/neon/pupil-cloud/enrichments/marker-mapper/index.md
@@ -1,12 +1,57 @@
----
-permalink: /export-formats/enrichment-data/marker-mapper
-description: Documentation of the exact export formats of Pupil Cloud.
----
-
 # Marker Mapper
 
-## gaze.csv
-This file contains all the mapped gaze data from all sections. The coordinate system is explained [here](/enrichments/#surface-coordinates).
+![Marker Mapper header image](./marker_mapper_header.png)
+
+The Marker Mapper enrichment enables tracking of where an individual is looking on a particular area or "surface" by positioning markers in the surrounding environment. This allows for the generation of a heatmap of gaze data directly within the Pupil Cloud enrichment, or for downloading the remapped gaze data in CSV format for further analysis.
+
+## Setup
+For robust detection, you should place enough markers on your surface such that at least 3 of them are visible whenever the surface is visible. You may also place markers inside the surface or outside the surface in close proximity to it.
+
+You can use these images as a template for printing markers:
+
+<div class="pb-4" style="display:grid;grid-template-columns:1fr 1fr;gap:40px;">
+  <a download="apriltags_tag36h11_0-23.jpg" href="../../media/shared/imgs/apriltags_tag36h11_0-23.jpg" title="AprilTags 0-23">
+
+  ![Apriltags 0 - 23](./apriltags_tag36h11_0-23.jpg)
+
+  </a>
+  <a download="apriltags_tag36h11_24-47.jpg" href="../../../media/shared/imgs/apriltags_tag36h11_24-47.jpg" title="AprilTags 0-23">
+    
+  ![Apriltags 24 - 47](./apriltags_tag36h11_24-47.jpg)
+
+  </a>
+</div>
+
+
+If you need more markers or higher resolution please see [here](https://github.com/pupil-labs/pupil-helpers/blob/master/markers_stickersheet/tag36h11_full.pdf?raw=True "PDF file with high-resolution markers.").
+
+::: warning
+Note that the markers require a white border around them to be robustly detected. In our experience, this border should be at least equal to the width of the smallest white square or rectangle shown in the marker. Therefore, please make sure to include a sufficient border when displaying or printing them.
+:::
+
+## Selecting Markers in the Cloud
+By default, all visible markers are used for surface definition when creating a surface. You can add or remove markers by clicking on them. Markers that are part of the definition are shown in green, while others are shown in red.
+
+Note that when adding a new marker to the surface definition, another marker that is already part of the definition has to be visible within the same video frame.
+
+A surface definition always needs to contain at least 2 markers. Thus, at least 2 markers have to be visible in the video frame when initially creating the surface, and you cannot remove further markers from the surface definition when the marker count is down to 2.
+
+![Marker Mapper marker selection](./marker_mapper_additional.png)
+
+## Surface Coordinates
+The Marker Mapper maps gaze points to a 2D surface and returns them in surface coordinates. The top left corner of the surface is defined as `(0, 0)`, and the bottom right corner is defined as `(1, 1)`. The orientation of the surface can be set in the enrichment settings.
+
+The mapper may return values outside of the surface, which yields values smaller than 0 or larger than 1, indicating that the corresponding gaze was not on the surface at that time.
+
+::: tip
+**Orientation:** The red border marks the top edge of the surface. You can rotate the surface by clicking on the "Rotate Surface" button.
+:::
+
+
+## Export Format
+
+### gaze.csv
+This file contains all the mapped gaze data from all sections. The coordinate system is explained [here](/pupil-cloud/enrichments/marker-mapper/#surface-coordinates).
 
 | Field | Description | 
 | -------- | -------- | 
@@ -19,7 +64,7 @@ This file contains all the mapped gaze data from all sections. The coordinate sy
 | **fixation id** | If this gaze sample belongs to a fixation event, this is the corresponding id of the fixation. Otherwise, this field is empty.     |
 | **blink id** | If this gaze samples belongs to a blink event, this is the corresponding id of the blink. Otherwise this field is empty.     |
 
-## fixations.csv
+### fixations.csv
 This file contains fixation events detected in the gaze data stream and mapped to the surface.
 
 
@@ -35,7 +80,7 @@ This file contains fixation events detected in the gaze data stream and mapped t
 | **fixation x [normalized]** | Float value representing the x-coordinate of the fixation in surface coordinates. This position is the average of all mapped gaze samples within the fixation.     |
 | **fixation y [normalized]** | Same as "fixation x [normalized]" but for the y-coordinate.     |
 
-## aoi_positions.csv
+### aoi_positions.csv
 This file contains the surface locations in the scene images for all sections.
 
 
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diff --git a/src/enrichments/reference-image-mapper.md b/neon/pupil-cloud/enrichments/reference-image-mapper/index.md
similarity index 55%
rename from src/enrichments/reference-image-mapper.md
rename to neon/pupil-cloud/enrichments/reference-image-mapper/index.md
index 7ca815702..21e815fc1 100644
--- a/src/enrichments/reference-image-mapper.md
+++ b/neon/pupil-cloud/enrichments/reference-image-mapper/index.md
@@ -1,8 +1,3 @@
----
-description: Powerful tool to map gaze data from the scene camera onto a reference image 
-permalink: /enrichments/reference-image-mapper
----
-
 # Reference Image Mapper
 
 Reference Image Mapper is a powerful tool to automatically map gaze onto features/objects in the environment.
@@ -10,7 +5,7 @@ Reference Image Mapper is a powerful tool to automatically map gaze onto feature
 <Youtube src="IF8f1Z3ZkEo" muted="1"/>
 
 
-A heatmap of gaze data mapped onto the reference image can be generated, and mapped gaze and fixation data can further be downloaded as [CSV files](/export-formats/enrichment-data/reference-image-mapper/#fixations-csv). 
+A heatmap of gaze data mapped onto the reference image can be generated, and mapped gaze and fixation data can further be downloaded as [CSV files](/pupil-cloud/enrichments/reference-image-mapper/#export-format). 
 
 ## Setup
 
@@ -34,27 +29,24 @@ In this guide, we will show you how the Reference Image Mapper can be used in a
 Below, gaze is mapped in four very different environments: to a **magazine cover**, a **basketball backboard**, a **supermarket shelf**, and even a **whole building**!
 
 <PhotoGrid :images="[
-  require(`../media/enrichments/rim/heatmap-0.jpg`),
-  require(`../media/enrichments/rim/heatmap-1.jpg`),
-  require(`../media/enrichments/rim/heatmap-2.jpg`),
-  require(`../media/enrichments/rim/heatmap-3.jpg`),
+  `./heatmap-0.jpg`,
+  `./heatmap-1.jpg`,
+  `./heatmap-2.jpg`,
+  `./heatmap-3.jpg`,
 ]"/>
 
 Let's take a look at what the Reference Image and Scanning Recording look like to produce these heatmaps.
-### 1. Magazine reading
-
-<div class="mcontainer">
-  <div class="col-mcontainer">
-    <h4>Reference image</h4>
-    <v-img
-    class="rounded" 
-    style="margin-bottom:14px;"
-    max-width="100%" max-height="300px" contain 
-    :src="require('../media/enrichments/rim/magazine-img.jpg')"
-  ></v-img>
-    First, we need a high-resolution .jpeg of the page.
+### 1. Magazine Reading
+
+<div class="grid grid-cols-2 gap-4">
+  <div>
+  <h4>Reference image</h4>
+    
+  ![Magazine Reference Image](./magazine-img.jpg)
+
+  First, we need a high-resolution .jpeg of the page.
   </div>
-  <div class="col-mcontainer">
+  <div>
     <h4>Scanning video</h4>
     <Youtube src="SplYZK-ZzE8"/>
     Then, we need a scanning recording, about <i>15 s</i> long, taken on a blank background and in good lighting (natural light works well). Note that the magazine page is clear with good contrast
@@ -64,65 +56,56 @@ Let's take a look at what the Reference Image and Scanning Recording look like t
 
 ### 2. Basketball
 
-<div class="mcontainer">
-  <div class="col-mcontainer">
-    <h4>Reference image</h4>
-    <v-img
-    class="rounded" 
-    style="margin-bottom:14px;"
-    max-width="100%" max-height="300px" contain 
-    :src="require('../media/enrichments/rim/basketball-img.jpg')"
-  ></v-img>
-    Here we can take a photo of the basketball hoop and court background.
+<div class="grid grid-cols-2 gap-4">
+  <div>
+  <h4>Reference image</h4>
+  
+  ![Basketball Reference Image](./basketball-img.jpg)
+
+  Here we can take a photo of the basketball hoop and court background.
   </div>
-  <div class="col-mcontainer">
+  <div>
     <h4>Scanning video</h4>
     <Youtube src="4MB5o4W_XJo"/>
     The scanning recording, in this case, is about 45 s long – note that the angles and distances cover what a player might see when dribbling towards the basket or taking a shot
   </div>
 </div>
 
-### 3. Supermarket shelf
-
-<div class="mcontainer">
-  <div class="col-mcontainer">
-    <h4>Reference image</h4>
-    <v-img
-    class="rounded" 
-    style="margin-bottom:14px;"
-    max-width="100%" max-height="300px" contain 
-    :src="require('../media/enrichments/rim/supermarket-img.jpg')"
-  ></v-img>
-    This photo captures the assortment of packagíng in the coffee aisle of a supermarket.
+### 3. Supermarket Shelf
+
+<div class="grid grid-cols-2 gap-4">
+  <div>
+  <h4>Reference image</h4>
+  
+  ![Supermarket Reference Image](./supermarket-img.jpg)
+  
+  This photo captures the assortment of packagíng in the coffee aisle of a supermarket.
   </div>
-  <div class="col-mcontainer">
+  <div>
     <h4>Scanning video</h4>
     <Youtube src="d3Yk3nKDIOQ"/>
     Notice that the scanning recording is fairly slow to reduce motion blur for this feature-rich shelf.
   </div>
 </div>
 
-### 4. An entire building
-
-<div class="mcontainer" display="grid | inline-grid">
-  <div class="col-mcontainer">
-    <h4>Reference image</h4>
-    <v-img
-    class="rounded" 
-    style="margin-bottom:14px;"
-    max-width="100%" max-height="300px" contain 
-    :src="require('../media/enrichments/rim/building-img.jpg')"
-    ></v-img>
-    This is a photo of the <i>entire</i> building
+### 4. An Entire Building
+
+<div class="grid grid-cols-2 gap-4">
+  <div>
+  <h4>Reference image</h4>
+  
+  ![Building Reference Image](./building-img.jpg)
+    
+  This is a photo of the <i>entire</i> building
   </div>
-  <div class="col-mcontainer">
+  <div>
     <h4>Scanning video</h4>
     <Youtube src="0U4H-uOIHlw"/>
     We take a longer scanning recording, about 2 min. The angles and distances cover what a person might see whilst walking past or standing in front of the building.
   </div>
 </div>
 
-## Scanning best practices
+## Scanning Best Practices
 Try to follow these best practices when recording a scanning video:
 - Make the recording while holding Neon in your hand rather than wearing it on your head.
 - Record the object of interest from all possible angles and from all distances a subject may view them. More diversity is better. Collecting sufficiently diverse viewpoints for a large object, like a building, may require you to move accordingly large distances.
@@ -135,20 +118,12 @@ What works and what doesn’t?
 
 ::: tip
 **Ready to go?**<br>
-Why not try replicating the above examples? Or even try it with your own use cases! If you haven’t already, we recommend you check out the [Cloud Getting Started Guide](/neon/getting-started/analyse-recordings-in-pupil-cloud/#analyse-recordings-in-pupil-cloud), which covers the basics of working with enrichments.
+Why not try replicating the above examples? Or even try it with your own use cases! If you haven’t already, we recommend you check out the [Cloud Getting Started Guide](/pupil-cloud/tutorials/), which covers the basics of working with enrichments.
 :::
 
-## Validate the gaze mapping
+## Validate the Gaze Mapping
 
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    class="rounded" 
-    style="margin-bottom:32px;"
-    :src="require('../media/enrichments/rim/rim-in-cloud.png')"
-    max-width=90%
-  >
-  </v-img>
-</div>
+![Reference Image Mapper in Pupil Cloud](./rim-in-cloud.png)
 
 To check if gaze has been mapped successfully, use the side-by-side view:
 1. Select a recording.
@@ -160,14 +135,7 @@ Now when you play back the recording you can see where gaze is mapped to on your
 
 ## Occlusions
 
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    class="rounded" 
-    :src="require('../media/enrichments/rim/basketball-occlusion.png')"
-    max-width=400px
-  >
-  </v-img>
-</div>
+![Basketball Occlusion](./basketball-occlusion.png)
 
 
 Sometimes an object will occlude the feature/object of interest. The reference image mapper may not recognize this, so a false positive mapping could occur. 
@@ -178,7 +146,7 @@ If you need to remove the falsely mapped data points, there are a few workaround
 2. Manually remove the affected data points in the reference image mapper export, by finding the timestamp and deleting the row in the .csv export.
 
 ## Repetitions
-In cases such as supermarket shopping, where features of the environment like freezers and aisles are repetitive and overlapping, it can be useful to divide recordings into shorter sections using [Events](/neon/basic-concepts/events) for enrichment. This way you can ensure gaze is only mapped to portions of the recording during which you know the user is looking at a particular part of the store.
+In cases such as supermarket shopping, where features of the environment like freezers and aisles are repetitive and overlapping, it can be useful to divide recordings into shorter sections using [Events](/data-collection/events/) for enrichment. This way you can ensure gaze is only mapped to portions of the recording during which you know the user is looking at a particular part of the store.
 
 
 ::: tip
@@ -186,29 +154,38 @@ In cases such as supermarket shopping, where features of the environment like fr
 Under the hood, the Reference Image Mapper uses a method called Structure from Motion (SfM) to build a model of the environment. You can see this model as a ‘point cloud’ on the left side video.
 :::
 
-<style scoped>
-.mcontainer{
-  display: flex;
-  flex-wrap: wrap;
-}
-.col-mcontainer{
-  flex: 50%;
-  padding: 0 4px;
-}
-@media screen and (min-width: 1025px) and (max-width: 1200px) {
-  .col-mcontainer{
-    flex: 100%;
-  }
-}
-@media screen and (max-width: 800px) {
-    .col-mcontainer{
-    flex: 50%;
-  }
-}
-@media screen and (max-width: 400px) {
-  .col-mcontainer{
-    flex: 100%;
-  }
-}
-
-</style>
\ No newline at end of file
+## Export Format
+
+### gaze.csv
+This file contains all the mapped gaze data from all sections.
+
+
+| Field | Description | 
+| -------- | -------- | 
+| **section id** | Unique identifier of the corresponding section.     |
+| **recording id** | Unique identifier of the recording this sample belongs to.     |
+| **timestamp [ns]** | UTC timestamp in nanoseconds of the sample. Equal to the timestamp of the original gaze sample before mapping.     |
+| **gaze detected in reference image** | Boolean indicating whether or not the gaze point was detected inside or outside of the reference image.     |
+| **gaze position in reference image x [px]** | Float value representing the x-coordinate of the mapped gaze point in pixel coordinates. If the reference image was not detected in the scene at the given time this value is empty.     |
+| **gaze position in reference image y [px]** | Same as "gaze position in reference image x [px]" but for the y-coordinate.     |
+| **fixation id** | If this gaze sample belongs to a fixation event, this is the corresponding id of the fixation. Otherwise, this field is empty.     |
+| **blink id** | If this gaze samples belongs to a blink event, this is the corresponding id of the blink. Otherwise this field is empty.     |
+
+### fixations.csv
+This file contains fixation events detected in the gaze data stream and mapped to the reference image.
+
+
+| Field | Description | 
+| -------- | -------- | 
+| **section id** | Unique identifier of the corresponding section.     |
+| **recording id** | Unique identifier of the recording this sample belongs to.     |
+| **fixation id** | Identifier of fixation within the section. The id corresponds to the fixation id of the raw unmapped data.    |
+| **start timestamp [ns]** | UTC timestamp in nanoseconds of the start of the fixation.     |
+| **end timestamp [ns]** | UTC timestamp in nanoseconds of the end of the fixation.     |
+| **duration [ms]** | Duration of the fixation in milliseconds.     |
+| **fixation detected in reference image** | Boolean indicating whether or not the fixation was inside or outside of the reference image.    |
+| **fixation x [px]** | Float value representing the x-coordinate of the fixation in reference image coordinates. This position is the average of all mapped gaze samples within the fixation.     |
+| **fixation y [px]** | Same as "fixation x [px]" but for the y-coordinate.     |
+
+### Reference Image
+The reference image that was used for defining the enrichment. The file is named `reference_image.jpeg|png`.
\ No newline at end of file
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diff --git a/neon/pupil-cloud/enrichments/reference-image-mapper/supermarket-img.jpg b/neon/pupil-cloud/enrichments/reference-image-mapper/supermarket-img.jpg
new file mode 100644
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diff --git a/neon/pupil-cloud/hero.webp b/neon/pupil-cloud/hero.webp
new file mode 100644
index 000000000..274fecfb3
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diff --git a/neon/pupil-cloud/index.md b/neon/pupil-cloud/index.md
new file mode 100644
index 000000000..a6d134177
--- /dev/null
+++ b/neon/pupil-cloud/index.md
@@ -0,0 +1,13 @@
+---
+aside: false
+---
+
+# Pupil Cloud
+
+<img src="./hero.webp" style="max-width: 500px; width: 100%; height: auto; margin: auto; padding-bottom: 24px;">
+
+[Pupil Cloud](https://cloud.pupil-labs.com) is a web-based eye tracking platform for data logistics, analysis, and visualization. It is the recommended tool for processing your Neon recordings. It makes it easy to store all your data securely in one place and it offers a variety of options for analysis.
+
+If Cloud upload is enabled in the Neon Companion app, then all recordings will be uploaded automatically to Pupil Cloud.
+
+We have a strict privacy policy that ensures your recording data is accessible only by you and those you explicitly grant access to. Pupil Labs will never access your recording data unless you explicitly instruct us to.
diff --git a/neon/pupil-cloud/projects/index.md b/neon/pupil-cloud/projects/index.md
new file mode 100644
index 000000000..8eaa64659
--- /dev/null
+++ b/neon/pupil-cloud/projects/index.md
@@ -0,0 +1,4 @@
+# Projects
+A project is a set of recordings that are grouped for joined processing and analysis. You create projects from the Recordings view in Drive by selecting one or more recordings and clicking "create project from recording". You can also add projects to existing recordings.
+
+Within a project, you can annotate recordings with events and create [enrichments](/pupil-cloud/enrichments/) to power your analysis.
\ No newline at end of file
diff --git a/neon/pupil-cloud/troubleshooting/index.md b/neon/pupil-cloud/troubleshooting/index.md
new file mode 100644
index 000000000..b4585eb9c
--- /dev/null
+++ b/neon/pupil-cloud/troubleshooting/index.md
@@ -0,0 +1,12 @@
+# Troubleshooting
+Below you can find a list of issues we have observed in the past and recommendations on how to fix them. If you can not find your issue in the list, please reach out to us on [Discord](https://pupil-labs.com/chat/) or via email to `info@pupil-labs.com`.
+
+## Recordings Are Not Uploading to Pupil Cloud Successfully
+1. Make sure **Cloud upload** is enabled in the Neon Companion app's settings.
+1. Try logging out of the app and back in.
+
+## My Enrichment Download Contains Only an ‘info.json’ File and Nothing Else!
+Did you use **Safari browser** to make the download?
+   - Enrichment downloads come as ZIP files. By default, Safari will automatically extract ZIP files when the download is finished. However, it will only extract file types that are considered "safe". Surprisingly, CSV and MP4 files are not considered safe and Safari will by default only extract the remaining JSON files.
+
+      To fix this you can either use a different browser to make the download, or disable the **"Open 'safe' files after downloading"** setting in Safari.
\ No newline at end of file
diff --git a/src/neon/getting-started/analyse-recordings-in-pupil-cloud.md b/neon/pupil-cloud/tutorials/index.md
similarity index 100%
rename from src/neon/getting-started/analyse-recordings-in-pupil-cloud.md
rename to neon/pupil-cloud/tutorials/index.md
diff --git a/neon/pupil-cloud/visualizations/areas-of-interest/index.md b/neon/pupil-cloud/visualizations/areas-of-interest/index.md
new file mode 100644
index 000000000..e060fe131
--- /dev/null
+++ b/neon/pupil-cloud/visualizations/areas-of-interest/index.md
@@ -0,0 +1,2 @@
+# Areas of Interest (AOIs)
+Coming soon!
\ No newline at end of file
diff --git a/neon/pupil-cloud/visualizations/heatmap/index.md b/neon/pupil-cloud/visualizations/heatmap/index.md
new file mode 100644
index 000000000..a46212659
--- /dev/null
+++ b/neon/pupil-cloud/visualizations/heatmap/index.md
@@ -0,0 +1,3 @@
+# Heatmap
+
+TODO
diff --git a/neon/pupil-cloud/visualizations/video-renderer/index.md b/neon/pupil-cloud/visualizations/video-renderer/index.md
new file mode 100644
index 000000000..8b5ce8ec3
--- /dev/null
+++ b/neon/pupil-cloud/visualizations/video-renderer/index.md
@@ -0,0 +1,23 @@
+# Video Renderer
+
+![Video Renderer header image](./video_renderer_header.png)
+
+The Video Renderer allows you to download scene videos with customizable overlays of eye tracking data.
+
+The following configuration options are currently available:
+
+**Show Gaze**: When enabled, a gaze circle will be overlayed on the video. You can customize the size, stroke width, color and transparency of the overlay in the "Gaze Appearance" menu. 
+
+**Show Fixations**: When enabled, the fixation scanpath will be overlayed on the video.
+
+**Undistort Video**: When enabled, the generated video will be "undistorted". This means that the slight fish-eye effect that is visible in the scene video will be removed.
+
+In the advanced settings, you can limit the rendering to subsections of your recordings by specifying start and end events.
+
+## Export Format
+The export will have one folder per recording using the following naming scheme:
+```<recording name>-<start of recording ID>```
+
+Each folder contains the rendered video sections of the respective recording. The video files are named
+```<beginning of section ID>_<start time>-<end time>.mp4```
+where the times are in seconds relative to the recording start.
\ No newline at end of file
diff --git a/neon/pupil-cloud/visualizations/video-renderer/video_renderer_header.png b/neon/pupil-cloud/visualizations/video-renderer/video_renderer_header.png
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diff --git a/src/neon/basic-concepts/projects-and-workspaces.md b/neon/pupil-cloud/workspaces/index.md
similarity index 81%
rename from src/neon/basic-concepts/projects-and-workspaces.md
rename to neon/pupil-cloud/workspaces/index.md
index 02b720546..3fa2aeedb 100644
--- a/src/neon/basic-concepts/projects-and-workspaces.md
+++ b/neon/pupil-cloud/workspaces/index.md
@@ -1,17 +1,4 @@
----
-permalink: /neon/basic-concepts/projects-and-workspaces
-description: Introduction to projects and workspaces, and their usage in Pupil Cloud.
----
-
-# Projects & Workspaces
-To keep your data organized, Pupil Cloud offers a few different organizational constructs. Most importantly there are projects and workspaces, which are introduced below.
-
-## Projects
-A project is a set of recordings that are grouped for joined processing and analysis. You create projects from the Recordings view in Drive by selecting one or more recordings and clicking "create project from recording". You can also add projects to existing recordings.
-
-Within a project, you can annotate recordings with events and create [enrichments](/enrichments) to power your analysis.
-
-## Workspaces
+# Workspaces
 Workspaces are large containers for your data and enable you to share data in Pupil Cloud with your collaborators. All data in Pupil Cloud is part of a workspace and the workspace owner can control access to it. A workspace can contain multiple projects. All recordings, wearers, templates, labels, and enrichments are isolated within a workspace and can not exist in another workspace at the same time.
 
 ### Access Control
diff --git a/neon/real-time-api/track-your-experiment-in-matlab/barplot-matlab-pi-cloud.jpg b/neon/real-time-api/track-your-experiment-in-matlab/barplot-matlab-pi-cloud.jpg
new file mode 100644
index 000000000..e47f0b2af
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diff --git a/src/neon/real-time-api/track-your-experiment-in-matlab.md b/neon/real-time-api/track-your-experiment-in-matlab/index.md
similarity index 75%
rename from src/neon/real-time-api/track-your-experiment-in-matlab.md
rename to neon/real-time-api/track-your-experiment-in-matlab/index.md
index c135a3336..f89d99999 100644
--- a/src/neon/real-time-api/track-your-experiment-in-matlab.md
+++ b/neon/real-time-api/track-your-experiment-in-matlab/index.md
@@ -1,20 +1,15 @@
----
-permalink: /neon/real-time-api/track-your-experiment-in-matlab
-description: A simple guide on how to build experiments in Matlab
----
-
-# Track your experiment in MATLAB
+# Track Your Experiment in MATLAB
 
 MATLAB is often used by researchers to build eye tracking experiments, such as tracking how long participants look at stimuli presented on a computer screen.
 
-When working with head-mounted eye trackers like Pupil Invisible, it can be useful to synchronize stimuli presentation with the eye tracking recording. This enables you to, a) keep track of when a stimulus is shown, and b) segment the eye tracking data accordingly.
+When working with head-mounted eye trackers like Neon, it can be useful to synchronize stimuli presentation with the eye tracking recording. This enables you to, a) keep track of when a stimulus is shown, and b) segment the eye tracking data accordingly.
 
-In this guide, we will build a simple MATLAB experiment. The experiment will show you how to automatically and conveniently track stimulus presentation as part of your eye tracking recording using [events](/invisible/basic-concepts/events) and [Pupil Invisible's real-time API](/invisible/real-time-api/introduction). Finally, you will see how those events enable the segmentation of eye tracking data per stimulus during the analysis.
+In this guide, we will build a simple MATLAB experiment. The experiment will show you how to automatically and conveniently track stimulus presentation as part of your eye tracking recording using [events](/data-collection/events/) and [Neon's real-time API](/real-time-api/tutorials/). Finally, you will see how those events enable the segmentation of eye tracking data per stimulus during the analysis.
 
-While MATLAB is not officially supported by [Pupil Invisible's real-time API](/invisible/real-time-api/introduction), we have created a simple wrapper to enable some of the available functions required for this application.
+While MATLAB is not officially supported by [Neon's real-time API](/real-time-api/tutorials/), we have created a simple wrapper to enable some of the available functions required for this application.
 
 ::: tip
-A similar guide for tracking an experiment in Python can be found [here](/invisible/real-time-api/track-your-experiment-progress-using-events).
+A similar guide for tracking an experiment in Python can be found [here](/real-time-api/track-your-experiment-progress-using-events/).
 :::
 
 ## Requirements
@@ -34,18 +29,18 @@ Finally, you will need to download the wrapper and demo code by cloning the repo
 git clone https://github.com/pupil-labs/realtime-matlab-experiment.git
 ```
 
-## How to use Events to keep track of your experiment
+## How To Use Events To Keep Track of Your Experiment
 
 Before we dig into how to run the demo and the wrapper, you will need to understand what events are and how to use them to keep track of your experiment.
 
 Events are essentially timestamps within a recording that have been marked with a name. In this demo, we need to track when a specific image is shown during a recording to associate the fixation data with that image. Thus, we will create an event at the start and end of each image presentation to mark this section.
 
-Events can be created post-hoc in the project editor or at recording time using either the [real-time API](/invisible/real-time-api/introduction) or [Pupil Invisible Monitor](/invisible/how-tos/data-collection-with-the-companion-app/monitor-your-data-collection-in-real-time.html). In this example, we are interested in fully automating the event creation within MATLAB. Still, depending on your use case, you could use either of those methods.
+Events can be created post-hoc in the project editor or at recording time using either the [real-time API](/real-time-api/tutorials/) or the [Monitor app](/data-collection/monitor-app/). In this example, we are interested in fully automating the event creation within MATLAB. Still, depending on your use case, you could use either of those methods.
 
-## Running the demo
+## Running the Demo
 
 Hands-on!
-Confirm that your Pupil Invisible is plugged to the Companion Device.
+Confirm that your Neon device is plugged into the Companion Device.
 Check that the Companion Device and the MATLAB computer are connected to the same network.
 Then you can execute the demo code as shown below:
 
@@ -53,9 +48,9 @@ Then you can execute the demo code as shown below:
 demo_pupil_labs();
 ```
 
-### Through the demo
+### Through the Demo
 
-Beyond all the steps needed to display an image in Psychtoolbox (which you can find in the demo code), here we will focus on the calls to the Pupil Invisible real-time API.
+Beyond all the steps needed to display an image in Psychtoolbox (which you can find in the demo code), here we will focus on the calls to the Neon real-time API.
 
 First, we start with a call to check if the connection is working.
 
@@ -100,15 +95,9 @@ pupil_labs_realtime_api('Command', 'cancel');
 That is all we have to do during data collection. Once all recordings have been uploaded to Pupil Cloud, we create a
 project to export them using the "Downloads" view. Within the project editor, we can already see the events in every recording.
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/how-tos/screenshot-matlab-pi-cloud.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Screenshot Pupil Cloud](./screenshot-matlab-pi-cloud.jpg)
 
-## Analysing the data
+## Analysing the Data
 
 Having the .csv files means we can read them within MATLAB and start doing some magic!
 
@@ -140,15 +129,9 @@ xlabel('Image'); ylabel(['Number of fixations', newline]);
 title(['Fixations per image - PI', newline]);
 ```
 
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/how-tos/barplot-matlab-pi-cloud.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
+![Barplot in Matlab](./barplot-matlab-pi-cloud.jpg)
 
-## Can I run the wrapper alone?
+## Can I Run the Wrapper Alone?
 
 Yes, if you are not planning on using Psychtoolbox, you can also use the wrapper alone. Download the `pupil_labs_realtime_api` function and add it to your path. Then, call it as you would typically call a function.
 
@@ -164,16 +147,14 @@ Several arguments can be used to control the wrapper:
 - `EventName`: followed by a string with the annotation name for the event, default is `Test event`.
 - `URLhost`: followed by a string containing the URL of Pupil Invisible, default is `http://neon.local:8080/`. It's generally good practice to call directly to the URL. Nevertheless, Matlab does resolve the DNS and stores it in the cache, so you will only notice a delay in the first call.
 
-## Notes and disclaimers
+## Notes and Disclaimers
 
 :::tip
-<v-icon large color="info">info_outline</v-icon>
 The current wrapper function does not support RTSP protocol. Therefore it is not possible to stream video or gaze positions. If you need this feature, please directly use the [Realtime Network API](https://pupil-labs-realtime-api.readthedocs.io/en/stable/guides/under-the-hood.html?highlight=RTSP).
 :::
 
 ::: warning
-<v-icon large color="warning">timer</v-icon>
-The average response time for HTTP requests to Pupil Invisible in MATLAB is 0.33 +- 0.14 seconds (on a 1000 requests test).
+The average response time for HTTP requests to Neon in MATLAB is 0.33 +- 0.14 seconds (on a 1000 requests test).
 This time might vary depending on your connection and computer load. If you need better time accuracy, check out our
 [Python API](https://pupil-labs-realtime-api.readthedocs.io/en/stable/examples/index.html).
 :::
diff --git a/neon/real-time-api/track-your-experiment-in-matlab/screenshot-matlab-pi-cloud.jpg b/neon/real-time-api/track-your-experiment-in-matlab/screenshot-matlab-pi-cloud.jpg
new file mode 100644
index 000000000..02fd01eb8
Binary files /dev/null and b/neon/real-time-api/track-your-experiment-in-matlab/screenshot-matlab-pi-cloud.jpg differ
diff --git a/neon/real-time-api/track-your-experiment-progress-using-events/index.md b/neon/real-time-api/track-your-experiment-progress-using-events/index.md
new file mode 100644
index 000000000..6a291bee5
--- /dev/null
+++ b/neon/real-time-api/track-your-experiment-progress-using-events/index.md
@@ -0,0 +1,378 @@
+# Track Your Experiment Progress Using Events
+Running a data collection for an experiment can be an organizational challenge. Many experiments are running through different phases and keeping track of what data belongs to what phase can be one of the difficulties.
+
+Using [events](/data-collection/events/), tracking the progress of an experiment becomes very easy and can often be fully automated though.
+
+In this guide, we will demonstrate how to save events at recording time and how to utilize them later during analysis to easily keep track of what phase a certain section of data was recorded in.
+
+To this end we are assuming a minimal experiment setup: we want to record subjects while they observe a series of images of animals and analyze how the average fixation duration differs for each image.
+
+::: tip
+You can download the example data used in this guide [here](https://drive.google.com/file/d/1O-HJJbJWRBgcZS1sowCX2srmME5hTub0/view?usp=sharing).
+:::
+
+## How To Use Events To Keep Track?
+Events are essentially timestamps within a recording that have been marked with a name. We need to keep track of when a specific image is shown during a recording, so we can associate the according fixation data with that image. Thus, we will create an event at the start and end of each image presentation to mark this section.
+
+Events can either be created post hoc in the project editor, or at recording time using either the [real-time API](/real-time-api/tutorials/) or [Neon Monitor](/data-collection/monitor-app/). In this example, we are interested in fully automating the event creation and will thus use the real-time API to save events, but depending on your use case you could use either of those methods.
+
+## Implementation
+The implementation of stimulus presentation is minimal. The images are loaded using OpenCV and are displayed in a full-screen window for a fixed amount of time.
+
+
+```python
+import time
+import cv2
+
+image_names = ["owl", "fox", "deer"]
+
+def prepare_stimulus_presentation():
+    cv2.namedWindow("Stimulus", cv2.WINDOW_NORMAL)
+    cv2.setWindowProperty("Stimulus", cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
+
+def present_stimulus(img):
+    presentation_time = 5
+    start_time = time.perf_counter()
+    while time.perf_counter() - start_time < presentation_time:
+        cv2.imshow("Stimulus", img)
+        cv2.waitKey(1)
+
+def cleanup_stimulus_presentation():
+    cv2.destroyAllWindows()
+    
+```
+
+Using the real-time API, we now have to connect to a Neon device for recording. We can remotely start the recording and save events before and after the stimulus presentation. The names of the events are chosen as `<animal name>_start` and `<animal name>_end` depending on the animal that is shown.
+
+Once all images have been shown, the recording is stopped remotely.
+
+
+```python
+# The 2 lines below are only needed when accessing 
+# the real-time API from a Jupyter notebook
+import nest_asyncio
+nest_asyncio.apply()
+
+from pupil_labs.realtime_api.simple import discover_one_device
+
+device = discover_one_device()
+device.recording_start()
+
+# Wait for a couple seconds before starting
+# to give all sensors enough time to initialize
+time.sleep(3)
+
+prepare_stimulus_presentation()
+
+for name in image_names:
+    img = cv2.imread(name + ".jpg")
+
+    device.send_event(name + "_start")
+    present_stimulus(img)    
+    device.send_event(name + "_end")
+
+cleanup_stimulus_presentation()
+device.recording_stop_and_save()
+```
+
+That is all we have to do during data collection. Once the recordings have been uploaded to Pupil Cloud we can already see the events in the timeline for every recording. Next, export the timeseries data of all recordings from Pupil Cloud.
+
+
+```python
+import pandas as pd
+events = pd.read_csv("raw-data-export/george-49e4a972/events.csv")
+events
+```
+
+<div>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>recording id</th>
+      <th>timestamp [ns]</th>
+      <th>name</th>
+      <th>type</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417853032000000</td>
+      <td>recording.begin</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417856195000000</td>
+      <td>owl_start</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417861273000000</td>
+      <td>owl_end</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417861399000000</td>
+      <td>fox_start</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417866475000000</td>
+      <td>fox_end</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>5</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417866613000000</td>
+      <td>deer_start</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>6</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417872348000000</td>
+      <td>deer_end</td>
+      <td>recording</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1644417872441000000</td>
+      <td>recording.end</td>
+      <td>recording</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+
+
+
+```python
+fixations = pd.read_csv("raw-data-export/george-49e4a972/fixations.csv")
+fixations.head()
+```
+
+
+
+
+<div>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>section id</th>
+      <th>recording id</th>
+      <th>fixation id</th>
+      <th>start timestamp [ns]</th>
+      <th>end timestamp [ns]</th>
+      <th>duration [ms]</th>
+      <th>fixation x [px]</th>
+      <th>fixation y [px]</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>1</td>
+      <td>1644417853698031394</td>
+      <td>1644417853910023394</td>
+      <td>211</td>
+      <td>651.751</td>
+      <td>731.750</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>2</td>
+      <td>1644417853978009394</td>
+      <td>1644417854338008394</td>
+      <td>359</td>
+      <td>528.268</td>
+      <td>881.095</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>3</td>
+      <td>1644417854410160394</td>
+      <td>1644417856542104394</td>
+      <td>2131</td>
+      <td>655.423</td>
+      <td>668.033</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>4</td>
+      <td>1644417856590003394</td>
+      <td>1644417857238017394</td>
+      <td>648</td>
+      <td>523.187</td>
+      <td>677.434</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>
+      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>
+      <td>5</td>
+      <td>1644417857298000394</td>
+      <td>1644417858693973394</td>
+      <td>1395</td>
+      <td>772.743</td>
+      <td>640.843</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+
+
+We can now simply iterate through the recordings and filter the fixation data using the start and end timestamps, to calculate the average number of fixations for every image and subject.
+
+
+```python
+import os
+import json
+
+export_folder = "raw-data-export/"
+
+results = pd.DataFrame(columns=image_names)
+
+for f in os.listdir(export_folder):
+    rec_folder = os.path.join(export_folder, f)
+    if not os.path.isdir(rec_folder):
+        continue
+    
+    # Read all relevant files
+    info_path = os.path.join(rec_folder, "info.json")
+    with open(info_path) as info:
+        rec_name = json.load(info)["template_data"]["recording_name"]
+
+    events_path = os.path.join(rec_folder, "events.csv")
+    events = pd.read_csv(events_path)
+
+    fixations_path = os.path.join(rec_folder, "fixations.csv")
+    fixations = pd.read_csv(fixations_path)
+
+    # Calculate average fixation duration per recording and image
+    for name in image_names:
+        start_event = events[events["name"] == name + "_start"]
+        start_timestamp = start_event["timestamp [ns]"].values[0]
+        
+        end_event = events[events["name"] == name + "_end"]
+        end_timestamp = end_event["timestamp [ns]"].values[0]
+
+        condition = (fixations["start timestamp [ns]"] >= start_timestamp) & (fixations["end timestamp [ns]"] <= end_timestamp)
+        image_fixations = fixations[condition]
+
+        results.loc[rec_name, name] = len(image_fixations["duration [ms]"])
+
+results.loc["Mean"] = results.mean()
+
+results
+```
+
+
+
+
+<div>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>owl</th>
+      <th>fox</th>
+      <th>deer</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>George</th>
+      <td>7</td>
+      <td>10</td>
+      <td>9</td>
+    </tr>
+    <tr>
+      <th>Jane</th>
+      <td>7</td>
+      <td>5</td>
+      <td>10</td>
+    </tr>
+    <tr>
+      <th>John</th>
+      <td>10</td>
+      <td>7</td>
+      <td>7</td>
+    </tr>
+    <tr>
+      <th>Lisa</th>
+      <td>5</td>
+      <td>7</td>
+      <td>9</td>
+    </tr>
+    <tr>
+      <th>Steve</th>
+      <td>7</td>
+      <td>8</td>
+      <td>11</td>
+    </tr>
+    <tr>
+      <th>Mean</th>
+      <td>7.2</td>
+      <td>7.4</td>
+      <td>9.2</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+
+
+Visualized as a bar chart it looks as follows:
+
+
+```python
+import matplotlib.pyplot as plt
+
+plt.figure(figsize=(10, 5))
+
+for idx, name in enumerate(image_names):
+    plt.bar(idx, results.loc["Mean", name])
+
+plt.xticks(range(len(image_names)), image_names)
+plt.xlabel("Image")
+plt.ylabel("Number of Fixations")
+```
+
+
+
+
+    Text(0, 0.5, 'Number of Fixations')
+
+
+
+
+    
+![png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlcAAAE9CAYAAAAmvEclAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAAsTAAALEwEAmpwYAAAUKElEQVR4nO3de7BlZXkm8OeF1ogEL5HWQoi2UkmMNV5pHQ2KiokVYoBIonEilnEomdSMglHLgYwTsCxLk4w6GDNMujQGEyeoeBnIWMZbEK3MIM1FEQnRiBgUtZmKgjBiCO/8cTbx0Haf3sC3zjn79O9Xdar3/vbaaz1dtev009/69lrV3QEAYIx91joAAMBGolwBAAykXAEADKRcAQAMpFwBAAykXAEADLRprQMsd+CBB/aWLVvWOgYAwB5dfPHF13f35p3H11W52rJlS7Zv377WMQAA9qiqrtnVuNOCAAADKVcAAAMpVwAAAylXAAADKVcAAAMpVwAAAylXAAADKVcAAAMpVwAAAylXAAADKVcAAAOtq3sLAsCjznrUWkdgwV3+osvX9PhmrgAABlKuAAAGUq4AAAZSrgAABlKuAAAGUq4AAAZSrgAABlKuAAAGUq4AAAZSrgAABlKuAAAGUq4AAAZSrgAABlKuAAAGUq4AAAZSrgAABlKuAAAGUq4AAAZSrgAABlKuAAAGUq4AAAZSrgAABlKuAAAGUq4AAAZSrgAABlKuAAAGUq4AAAZSrgAABlKuAAAGmrRcVdVvV9UVVfWFqvqLqrrXlMcDAFhrk5Wrqjo4yUlJtnb3v0qyb5LnT3U8AID1YOrTgpuS7FdVm5LcO8k3Jj4eAMCamqxcdffXk/yXJF9Lcl2S73b3R6c6HgDAejDlacH7Jzk2ycOSPDjJ/lV1/C62O7GqtlfV9h07dkwVBwBgVUx5WvDnk1zd3Tu6+5+SfCDJz+28UXdv6+6t3b118+bNE8YBAJjelOXqa0meVFX3rqpK8swkV054PACANTflmqsLk5yT5JIkl8+OtW2q4wEArAebptx5d5+W5LQpjwEAsJ64QjsAwEDKFQDAQMoVAMBAyhUAwEDKFQDAQMoVAMBAyhUAwEDKFQDAQMoVAMBAyhUAwEDKFQDAQMoVAMBAk964GVgFp993rROw6E7/7longA3FzBUAwEDKFQDAQMoVAMBAyhUAwEB73YL2Laf8r7WOwIL76hufvdYRAFjHzFwBAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAykXAEADLTHclVVh1fV/rPHx1fVm6vqodNHAwBYPPPMXJ2Z5OaqekySVye5Jsm7Jk0FALCg5ilXt3Z3Jzk2yRndfUaSA6aNBQCwmDbNsc2NVXVqkuOTHFFV+ya5x7SxAAAW0zwzV7+e5JYkJ3T3N5McnOQPJk0FALCg9jhzNStUb172/Gux5goAYJfm+bbgcVX1par6blXdUFU3VtUNqxEOAGDRzLPm6veTHN3dV04dBgBg0c2z5upbihUAwHzmmbnaXlXvSfKhLC1sT5J09wemCgUAsKjmKVf3SXJzkmctG+skyhUAwE7m+bbgi1cjCADARjDPtwUPqaoPVtW3q+pbVfX+qjpknp1X1f2q6pyq+tuqurKqnnz3IwMArF/zLGh/Z5Jzkzw4SxcQPW82No8zknykux+R5DFJLIwHADa0ecrV5u5+Z3ffOvv50ySb9/SmqrpPkiOSvCNJuvsH3f2duxMWAGC9m6dcXV9Vx1fVvrOf45P83zne9/AkO5K8s6ouraq3V9X+dystAMA6N0+5+rdJnpfkm0muS/Jrs7E92ZTk8UnO7O7HJbkpySk7b1RVJ1bV9qravmPHjrmDAwCsR/N8W/BrSY65C/u+Nsm13X3h7Pk52UW56u5tSbYlydatW/suHAcAYN3Ybbmqqld39+9X1R9m6bpWd9DdJ6204+7+ZlX9Q1X9THdfleSZSb54txMDAKxjK81c3f7Nvu13Y/8vS/Luqrpnkq8kcc0sAGBD22256u7zZg9v7u73LX+tqp47z867+7IkW+9yOgCABTPPgvZT5xwDANjrrbTm6qgkv5Tk4Kp667KX7pPk1qmDAQAsopXWXH0jS+utjkly8bLxG5P89pShAAAW1Uprrj6X5HNV9T+6+59WMRMAwMLa43WukmypqjckeWSSe90+2N0PnywVAMCCmvfGzWdmaZ3VM5K8K8mfTRkKAGBRzVOu9uvuTySp7r6mu09PcuS0sQAAFtM8pwW/X1X7JPlSVb00ydeTPHDaWAAAi2memauXJ7l3kpOSHJbkhUleNGEmAICFNc/M1eXd/f0k38vs9jVVdeCkqQAAFtQ8M1cXVdWTbn9SVb+a5G+miwQAsLjmmbn6jSR/UlXnJ3lwkgfEgnYAgF3aY7nq7sur6vVZuvzCjUmO6O5rJ08GALCA9liuquodSQ5N8ugkP53kvKp6W3f/0dThAAAWzTxrrr6Q5BndfXV3/1WSJyV5/LSxAAAW0zynBd+y0/PvJjlhskQAAAtst+Wqqt7b3c+rqsuT9PKXknR3P3rydAAAC2almatXzv785dUIAgCwEay05up/Jkl3X5PkVbP7Cv7Lz+rEAwBYLCuVq1r2+PCpgwAAbAQrlate4TUAAHZhpTVXj6iqz2dpBuvQ2ePEgnYAgN1aqVz97KqlAADYIHZbrixaBwC48+a5QjsAAHNSrgAABtptuaqqT8z+/L3ViwMAsNhWWtB+UFU9LckxVXV27njdq3T3JZMmAwBYQCuVq99NckqSQ5K8eafXOsmRU4UCAFhUK31b8Jwk51TVf+7u161iJgCAhbXSzFWSpLtfV1XHJDliNnR+d//ltLEAABbTHr8tWFVvSHJyki/Ofk6ejQEAsJM9zlwleXaSx3b3bUlSVWcluTTJqVMGAwBYRPNe5+p+yx7fd4IcAAAbwjwzV29IcmlV/XWWLsdwRMxaAQDs0jwL2v+iqs5P8oQslav/2N3fnDoYAMAimmfmKt19XZJzJ84CALDw3FsQAGAg5QoAYKAVy1VV7VNVX1itMAAAi27FcjW7ttXnquohq5QHAGChzbOg/aAkV1TVZ5PcdPtgdx8zWSoAgAU1T7l67eQpAAA2iHmuc/Wpqnpokp/q7o9X1b2T7Dt9NACAxTPPjZtfkuScJH88Gzo4yYcmzAQAsLDmuRTDf0hyeJIbkqS7v5TkgVOGAgBYVPOUq1u6+we3P6mqTUl6ukgAAItrnnL1qar6nST7VdUvJHlfkvPmPUBV7VtVl1bVX97VkAAAi2KecnVKkh1JLk/y75J8OMlr7sQxTk5y5Z2PBgCweOb5tuBtVXVWkguzdDrwqu6e67RgVR2S5NlJXp/kFXcnKADAIpjn24LPTvL3Sd6a5G1JvlxVR825//+a5NVJbrurAQEAFsk8pwXflOQZ3f307n5akmckecue3lRVv5zk29198R62O7GqtlfV9h07dswVGgBgvZqnXH27u7+87PlXknx7jvcdnuSYqvpqkrOTHFlVf77zRt29rbu3dvfWzZs3z5MZAGDd2u2aq6o6bvbwiqr6cJL3ZmnN1XOTXLSnHXf3qUlOne3r6Ule1d3H3828AADr2koL2o9e9vhbSZ42e7wjyf0nSwQAsMB2W666+8WjDtLd5yc5f9T+AADWqz1eiqGqHpbkZUm2LN++u4+ZLhYAwGLaY7nK0k2a35Glq7K7pAIAwArmKVff7+63Tp4EAGADmKdcnVFVpyX5aJJbbh/s7ksmSwUAsKDmKVePSvLCJEfmh6cFe/YcAIBl5ilXz0ny8O7+wdRhAAAW3TxXaP9ckvtNnAMAYEOYZ+bqQUn+tqouyh3XXLkUAwDATuYpV6dNngIAYIPYY7nq7k+tRhAAgI1gniu035ilbwcmyT2T3CPJTd19nymDAQAsonlmrg5Y/ryqfiXJE6cKBACwyOb5tuAddPeH4hpXAAC7NM9pweOWPd0nydb88DQhAADLzPNtwaOXPb41yVeTHDtJGgCABTfPmqsXr0YQAICNYLflqqp+d4X3dXe/boI8AAALbaWZq5t2MbZ/khOSPCCJcgUAsJPdlqvuftPtj6vqgCQnJ3lxkrOTvGl37wMA2JutuOaqqn4iySuSvCDJWUke393/uBrBAAAW0Uprrv4gyXFJtiV5VHd/b9VSAQAsqJUuIvrKJA9O8pok36iqG2Y/N1bVDasTDwBgsay05upOX70dAGBvp0ABAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAykXAEADKRcAQAMpFwBAAw0Wbmqqp+sqr+uqiur6oqqOnmqYwEArBebJtz3rUle2d2XVNUBSS6uqo919xcnPCYAwJqabOaqu6/r7ktmj29McmWSg6c6HgDAerAqa66qakuSxyW5cDWOBwCwViYvV1X140nen+Tl3X3DLl4/saq2V9X2HTt2TB0HAGBSk5arqrpHlorVu7v7A7vapru3dffW7t66efPmKeMAAExuym8LVpJ3JLmyu9881XEAANaTKWeuDk/ywiRHVtVls59fmvB4AABrbrJLMXT3Z5LUVPsHAFiPXKEdAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYKBJy1VV/WJVXVVVX66qU6Y8FgDAejBZuaqqfZP8UZKjkjwyyb+pqkdOdTwAgPVgypmrJyb5cnd/pbt/kOTsJMdOeDwAgDU3Zbk6OMk/LHt+7WwMAGDD2jThvmsXY/0jG1WdmOTE2dPvVdVVE2Zizw5Mcv1ah1jP6vfWOgF3gc/1Sl67q1/XrHM+0yuo31y1z/RDdzU4Zbm6NslPLnt+SJJv7LxRd29Lsm3CHNwJVbW9u7eudQ4YyeeajcZnen2b8rTgRUl+qqoeVlX3TPL8JOdOeDwAgDU32cxVd99aVS9N8ldJ9k3yJ919xVTHAwBYD6Y8LZju/nCSD095DIZzipaNyOeajcZneh2r7h9ZYw4AwF3k9jcAAAMpV8ylqr5aVQeudQ7Ynao6qaqurKp3r3UWGKGqTq+qV611Du68SddcAayif5/kqO6+eq2DwHpRVZu6+9a1zrG3MXO1F6qqV1TVF2Y/L6+qV1fVSbPX3lJVn5w9fmZV/fnapoU9q6r/nuThSc6tqldW1Yeq6vNV9X+q6tFVtamqLqqqp8+2f0NVvX4tM8OuVNV/qqqrqurjSX5mNnZoVX2kqi6uqk9X1SNm45ur6v2zz/ZFVXX4bPz0qtpWVR9N8q61+9vsvZSrvUxVHZbkxUn+dZInJXlJkk8neepsk61Jfryq7pHkKbPXYF3r7t/K0kWKn5FkS5JLu/vRSX4nybtm/3P/zSRnVtUvJPnFJK9dm7Swa7Pfz89P8rgkxyV5wuylbUle1t2HJXlVkv82Gz8jyVu6+wlJfjXJ25ft7rAkx3b3b6xGdu7IacG9z1OSfLC7b0qSqvpAlm6yfVhVHZDkliSXZKlkPTXJSWsVFO6ip2TpH5p09yer6gFVdd/uvqKq/izJeUmePLuhPKwnT83S7+ebk6Sqzk1yryQ/l+R9Vf9yS5cfm/3580keuWz8PrPf40lybnf/v1VJzY9QrvY+u7vn41ezNKP1N0k+n6UZgEOTXLlqyWCMle5r+qgk30nyoFVLA3fOztdH2ifJd7r7sbvYdp8s/UfhDiVqVrZumiQdc3FacO9zQZJfqap7V9X+SZ6TpVN/F2RpuvmC2fPfSnJZuxAai+eCJC9Iktkaq+u7+4aqOi7JA5IckeStVXW/tQoIu3FBkudU1X6zGaijk9yc5Oqqem6S1JLHzLb/aJKX3v7mqnrsKudlN5SrvUx3X5LkT5N8NsmFSd7e3ZdmqVAdlOR/d/e3knw/1luxmE5PsrWqPp/kjUleNLuMyBuTnNDdf5fkbVlarwLrxuz383uSXJbk/fnh7+AXJDmhqj6X5Iokx87GT8rss15VX8zSf4pZB1yhHQBgIDNXAAADKVcAAAMpVwAAAylXAAADKVcAAAMpV8BCqKrvrXUGgHkoVwAAAylXwEKpqqdX1aeq6r1V9XdV9caqekFVfbaqLq+qQ2fbHV1VF1bVpVX18ap60Gx8c1V9rKouqao/rqprZhcZTVUdP9vPZbPX9l3LvyuwmJQrYBE9JsnJWbpX4AuT/HR3PzHJ25O8bLbNZ5I8qbsfl+TsJK+ejZ+W5JPd/fgkH0zykCSpqp9N8utJDp/dx+2fM7uNDsCd4cbNwCK6qLuvS5Kq+vss3WMtSS7P0k3Hk+SQJO+pqoOS3DPJ1bPxp2Tpnprp7o9U1T/Oxp+Z5LAkF81ufLtfkm9P/PcANiDlClhEtyx7fNuy57flh7/X/jDJm7v73NkNnE+fjddu9llJzuruU4cmBfY6TgsCG9V9k3x99vhFy8Y/k+R5SVJVz0py/9n4J5L8WlU9cPbaT1TVQ1cpK7CBKFfARnV6kvdV1aeTXL9s/LVJnlVVlyQ5Ksl1SW7s7i8meU2Sj1bV55N8LMlBqxsZ2Aiqu9c6A8CqqaofS/LP3X1rVT05yZmzBewAQ1hzBextHpLkvVW1T5IfJHnJGucBNhgzVwAAA1lzBQAwkHIFADCQcgUAMJByBQAwkHIFADCQcgUAMND/B+0eIz4GzIlTAAAAAElFTkSuQmCC)
+    
+
+
+## Conclusion
+In this guide, you saw how to use events to track the progress of an experiment. Note that this approach can be generalized to much more complex setups.
diff --git a/src/media/invisible/how-tos/project-editor-screenshot.png b/neon/real-time-api/track-your-experiment-progress-using-events/project-editor-screenshot.png
similarity index 100%
rename from src/media/invisible/how-tos/project-editor-screenshot.png
rename to neon/real-time-api/track-your-experiment-progress-using-events/project-editor-screenshot.png
diff --git a/neon/real-time-api/tutorials/index.md b/neon/real-time-api/tutorials/index.md
new file mode 100644
index 000000000..bb8793a7a
--- /dev/null
+++ b/neon/real-time-api/tutorials/index.md
@@ -0,0 +1,209 @@
+# Introduction
+
+For some applications it is critical to have access to eye tracking data in real time. Imagine for example an application utilizing gaze interaction to allow users to press a button using only their eyes.
+
+In other cases it may be important to automatically start or stop a recording and save [events](/data-collection/events/). For example, you might want to launch a screen-based experiment and have the recording start automatically when the stimulus presentation begins. Additionally, you might want to save the timestamps of when the subject interacted with the screen.
+
+All of this is possible for developers using the real-time API. It allows you to stream gaze data and scene video to any device connected to the same local network. Further, you can control all devices remotely to start and stop recordings or save events.
+
+If you are not a developer and simply need a tool to monitor and control all your devices in real-time, check out [Neon Monitor](/data-collection/monitor-app/).
+
+We have created a Python client library for the API that makes it very easy to use. If you require access to the API from a different programming language, you will have to write your own client. Please see the documentation [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/guides/under-the-hood.html).
+
+To install the client library execute the following command in a terminal:
+
+```
+pip install pupil-labs-realtime-api
+```
+
+The client comes in two modes, `simple` and `async`. The simple mode is very easy to use and is the one we will focus on in this tutorial.
+
+## Connecting to a Neon Device
+
+Using the [`discover_one_device`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.discover_one_device) function, we can connect to a Neon device connected to your local network. Make sure the Neon Companion app is running! If no device can be found, please check the [troubleshooting section](#troubleshooting) at the end.
+
+```python
+from pupil_labs.realtime_api.simple import discover_one_device
+device = discover_one_device()
+```
+
+With the device connected, you can check various properties of the Companion device and the Neon:
+
+```python
+print(f"Phone IP address: {device.phone_ip}")
+print(f"Phone name: {device.phone_name}")
+print(f"Battery level: {device.battery_level_percent}%")
+print(f"Free storage: {device.memory_num_free_bytes / 1024**3:.1f} GB")
+print(f"Serial number of connected glasses: {device.serial_number_glasses}")
+```
+
+    Phone IP address: 192.168.1.168
+    Phone name: OnePlus8
+    Battery level: 43%
+    Free storage: 92.4 GB
+    Serial number of connected glasses: h4gcf
+
+## Starting & Stopping Recordings
+
+Use the [`recording_start`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.recording_start)
+and [`recording_stop_and_save`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.recording_stop_and_save)
+methods to remotely start and stop recordings.
+
+```python
+import time
+from pupil_labs.realtime_api.simple import discover_one_device
+
+device = discover_one_device()
+
+recording_id = device.recording_start()
+print(f"Started recording with id {recording_id}")
+
+time.sleep(5)
+
+device.recording_stop_and_save()
+```
+
+    Started recording with id 2f99d9f9-f009-4015-97dd-eb253de443b0
+
+## Saving Events
+
+While a recording is running, you can save [events](/data-collection/events/)
+using the [`send_event`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.send_event) method.
+By default, the Neon device receiving the event will assign a timestamp to it,
+using the time of arrival. Optionally, you can set a custom nanosecond timestamp for your event instead.
+
+```python
+from pupil_labs.realtime_api.simple import discover_one_device
+device = discover_one_device()
+
+device.recording_start()
+
+print(device.send_event("test event 1"))
+
+time.sleep(5)
+
+# send event with current timestamp
+print(device.send_event("test event 2", event_timestamp_unix_ns=time.time_ns()))
+
+device.recording_stop_and_save()
+```
+
+```python
+
+Event(name=None recording_id=None timestamp_unix_ns=1642599117043000000 datetime=2022-01-19 14:31:57.043000)
+Event(name=None recording_id=fd8c98ca-cd6c-4d3f-9a05-fbdb0ef42668 timestamp_unix_ns=1642599122555200500 datetime=2022-01-19 14:32:02.555201)
+
+```
+
+## Scene Video and Gaze Data
+
+You can receive the current scene camera frame as well as the current gaze sample using the [`receive_matched_scene_video_frame_and_gaze`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_matched_scene_video_frame_and_gaze) method.
+
+```python
+from datetime import datetime
+import matplotlib.pyplot as plt
+import cv2
+from pupil_labs.realtime_api.simple import discover_one_device
+
+device = discover_one_device()
+
+scene_sample, gaze_sample = device.receive_matched_scene_video_frame_and_gaze()
+
+scene_image_rgb = cv2.cvtColor(scene_sample.bgr_pixels, cv2.COLOR_BGR2RGB)
+plt.imshow(scene_image_rgb)
+plt.scatter(gaze_sample.x, gaze_sample.y, s=200, facecolors='none', edgecolors='r')
+```
+
+Alternatively, you could also use the [`receive_scene_video_frame`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_scene_video_frame) and [`receive_gaze_datum`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_gaze_datum) methods to obtain each sample separately. The [`receive_matched_scene_video_frame_and_gaze`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_matched_scene_video_frame_and_gaze) method does however also ensure that both samples are matched temporally.
+
+## IMU Data
+
+Data generated by the IMU can be received using the [`receive_imu_datum`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_imu_datum) method. It returns a UTC timestamp in seconds, the head pose as a quaternion, gyro data, and accelerometer data as follows.
+
+```python
+from pupil_labs.realtime_api.simple import discover_one_device
+device = discover_one_device()
+
+imu_sample = device.receive_imu_datum()
+
+dt = datetime.fromtimestamp(imu_sample.timestamp_unix_seconds)
+print(f"This IMU sample was recorded at {dt}")
+
+print(f"It contains the following data:")
+
+print(f"Head pose:")
+print(imu_sample.quaternion)
+
+print(f"Acceleration data:")
+print(imu_sample.accel_data)
+
+print(f"Gyro data:")
+print(imu_sample.gyro_data)
+```
+
+```
+This IMU sample was recorded at 2023-05-25 11:23:05.749155
+It contains the following data:
+Head pose (as quaternion)
+Quaternion(x=0.6989051699638367, y=0.6990674734115601, z=0.14088384807109833, w=0.05466122552752495)
+Acceleration data
+Data3D(x=0.1142578125, y=0.25927734375, z=-0.93701171875)
+Gyro data
+Data3D(x=0.1506805419921875, y=-0.1316070556640625, z=-0.0858306884765625)
+```
+
+## Camera Calibration
+
+You can receive camera calibration parameters using the [`get_calibration`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.get_calibration) method. Especially the scene camera matrix and distortion coefficients are useful for undistorting the scene video.
+
+```python
+from pupil_labs.realtime_api.simple import discover_one_device
+
+device = discover_one_device()
+calibration = device.get_calibration()
+
+print("Scene camera matrix:")
+print(calibration["scene_camera_matrix"][0])
+print("\nScene distortion coefficients:")
+print(calibration["scene_distortion_coefficients"][0])
+
+print("\nRight camera matrix:")
+print(calibration["right_camera_matrix"][0])
+print("\nRight distortion coefficients:")
+print(calibration["right_distortion_coefficients"][0])
+
+print("\nLeft camera matrix:")
+print(calibration["left_camera_matrix"][0])
+print("\nLeft distortion coefficients:")
+print(calibration["left_distortion_coefficients"][0])
+```
+
+## Troubleshooting
+
+If you are having trouble connecting to your Neon device via the real-time API, consider the following points:
+
+1. Make sure the Neon Companion app and the device you are using to access the API are connected to the same local network.
+1. For discovery the local network must allow MDNS and UDP traffic. In large public networks this may be prohibited for security reasons.
+
+   - You may still be able to connect to Neon using its IP address. You can find the IP address in the WiFi settings of the phone. Once you have it, you can connect like this:
+
+     ```python
+     from pupil_labs.realtime_api.simple import Device
+
+     # This address is just an example. Find out the actual IP address of your device!
+     ip = "192.168.1.169"
+
+     device = Device(address=ip, port="8080")
+     ```
+
+   - Alternatively, you can circumvent this by running a separate WiFi using the phone's hotspot functionality or a dedicated WiFi router.
+
+## Conclusion
+
+Using the simple mode of the real-time API client you can easily access scene video and gaze data in real-time as well as remote control your Neon devices.
+
+You can find the full API reference [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html).
+
+For an example implementation on how to use the real-time API in action, please see [Track your Experiment Progress using Events](/real-time-api/track-your-experiment-progress-using-events/).
+
+To learn more about the `async` mode of the client see [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/examples/async.html).
diff --git a/neon/real-time-api/tutorials/scene_and_gaze.png b/neon/real-time-api/tutorials/scene_and_gaze.png
new file mode 100644
index 000000000..9fb0ceaa3
Binary files /dev/null and b/neon/real-time-api/tutorials/scene_and_gaze.png differ
diff --git a/neon/tailwind.config.js b/neon/tailwind.config.js
new file mode 100644
index 000000000..83ba8604b
--- /dev/null
+++ b/neon/tailwind.config.js
@@ -0,0 +1,17 @@
+/** @type {import('tailwindcss').Config} */
+module.exports = {
+  content: [
+    "./**/*.md",
+    "./.vitepress/theme/**/*.{vue,js,ts}",
+    "../components/**/*.vue",
+  ],
+  theme: {
+    extend: {
+      screens: {
+        lg: "960px",
+        "2xl": "1440px",
+      },
+    },
+  },
+  plugins: [],
+};
diff --git a/neon/tsconfig.json b/neon/tsconfig.json
new file mode 100644
index 000000000..f010d41a6
--- /dev/null
+++ b/neon/tsconfig.json
@@ -0,0 +1,34 @@
+{
+  "compilerOptions": {
+    "baseUrl": ".",
+    "module": "esnext",
+    "target": "esnext",
+    "moduleResolution": "node",
+    "esModuleInterop": true,
+    "strict": true,
+    "skipLibCheck": true,
+    "noUnusedLocals": true,
+    "resolveJsonModule": true,
+    "verbatimModuleSyntax": true,
+    "jsx": "preserve",
+    "lib": ["esnext", "dom", "dom.iterable"],
+    "isolatedModules": true,
+    "noImplicitThis": true,
+    "allowImportingTsExtensions": true,
+    "allowJs": true,
+    "paths": {
+      "@/*": ["../*"],
+      "@components/*": ["../components/*"],
+      "@theme/*": ["./.vitepress/theme/*"]
+    }
+  },
+  "include": [
+    "../components/*.vue",
+    "./.vitepress/**/*.vue",
+    "./.vitepress/**/*.ts",
+    "./.vitepress/**/*.mts",
+    "./.vitepress/**/*.css"
+  ],
+  "exclude": ["**/node_modules/**", "**/dist/**", "template"],
+  "compileOnSave": true
+}
diff --git a/neon/understand-the-ecosystem/index.md b/neon/understand-the-ecosystem/index.md
new file mode 100644
index 000000000..72ff7e474
--- /dev/null
+++ b/neon/understand-the-ecosystem/index.md
@@ -0,0 +1,63 @@
+# Understand the Ecosystem
+The Neon ecosystem contains a range of tools that support you during data collection and data analysis. This overview introduces all the key components so you can become familiar with the tools at your disposal.
+
+## Neon Companion App
+You should have already used the Neon Companion app to [make your first recording](/data-collection/first-recording/). This app is the core of every Neon data collection.
+
+When your Neon is connected to the Companion device, it supplies it with power and enables it to generate a real-time gaze signal as well as several other [data streams](/data-collection/data-streams/). When making a [recording](/data-collection/recordings/), all generated data is saved on the Companion device.
+
+The app automatically saves [UTC timestamps](https://en.wikipedia.org/wiki/Coordinated_Universal_Time) for every generated data sample. This allows you to easily sync your data with other external data streams, or to sync recordings from multiple subjects that have been made in parallel.
+
+## Other Data Collection Tools
+Several other tools complement the Neon Companion app and can make data collection much easier in some scenarios.
+
+### Neon Monitor
+  
+![Neon Monitor](./pi-monitor-app.jpg)
+   
+All data generated by Neon can be monitored in real time from other devices in the local network using the Neon Monitor app. To access the app simply visit [neon.local:8080](http://neon.local:8080) in the browser of any device connected to the same WiFi network as the Companion device.
+
+The real-time streaming app enables you to monitor and control a recording session remotely without having to directly interact with the Companion device carried by the subject. You can view the scene video and gaze data remotely in your browser. You can also start and stop recordings and annotate important moments in time with [events](/data-collection/events/). All data will be saved with the recording on the Companion device.
+
+### PsychoPy for Screen-Based Studies
+[PsychoPy](https://www.psychopy.org/) is a commonly used tool to facilitate screen-based studies. It's a Python framework including tools for stimulus presentation on a screen and time-synchronized data collection.
+
+Neon is officially supported by PsychoPy using [this](https://www.psychopy.org/api//iohub/device/eyetracker_interface/PupilLabs_Neon_Implementation_Notes.html) plugin. It allows you to capture gaze data in screen coordinates in real time and to synchronize this data with stimulus presentation and other data streams.
+
+You can learn more about PsychoPy and the Neon plugin [here](/data-collection/psychopy/).
+
+### Lab Streaming Layer for Sensor Fusion
+[Lab Streaming Layer (LSL)](https://labstreaminglayer.org/) is a widely supported tool for sensor fusion. It is compatible with a huge range of physiological sensors including EEG, GSR, and EKG sensors and many more. It allows you to temporally synchronize and save the data coming from all of them.
+
+Neon is compatible with LSL and you can learn more about how to use Neon with LSL [here](/data-collection/lab-streaming-layer/).
+
+
+## Pupil Cloud
+[Pupil Cloud](/pupil-cloud/) is our web-based storage and analysis platform located at [cloud.pupil-labs.com](https://cloud.pupil-labs.com/). It makes it easy to store all your data securely in one place and offers a variety of options for data analysis and visualization.
+
+Pupil Cloud is the recommended tool for processing your Neon recordings and if you enable uploads in the Neon Companion app all recordings can be uploaded automatically. 
+
+![Pupil Cloud](./pupil_cloud.jpg)
+
+Once a recording is uploaded to Pupil Cloud the processing pipeline begins adding several additional low-level data streams to it - including fixation, pupil diameter, blink, and 3D eye state data. Some of this data is only available through Pupil Cloud. For a full overview see the [data-streams](/data-collection/data-streams/) page
+
+From here, you can either download the raw recording data in a convenient format or use the available analysis tools to extract additional information from the data. These tools include various algorithms for gaze mapping e.g. the [Reference Image Mapper](/pupil-cloud/enrichments/reference-image-mapper/), which allows you to track when subjects are looking at objects of interest shown on a reference image, as well as the ability to define [Areas of Interest (AOIs)](/pupil-cloud/visualizations/areas-of-interest/) and to aggregate various metrics like e.g. average fixation duration on them.
+
+We have a strict [privacy policy](https://pupil-labs.com/legal/) that ensures your recording data is accessible only by you and those you explicitly grant access to. Pupil Labs will **never** access your recording data unless you explicitly instruct us to. This implies that your recording data is not used for any product development. Of course, Pupil Cloud is fully GDPR-compliant.
+
+You can find a tutorial on how to get started with Pupil Cloud [here](/pupil-cloud/tutorials/).
+
+## Neon Player
+[Neon Player](/neon-player/) is a desktop application that allows you to easily play back Neon recordings locally. It also allows you to export recordings in convenient formats without having to go through Pupil Cloud.
+
+Neon Player is only able to provide a subset of the raw data streams available for export from Pupil Cloud. For example, pupil diameter and 3D eye state data is not included. You can find a full overview of which data streams are available where [here](/data-collection/data-streams/).
+
+## Real-Time API
+All data generated by Neon is accessible to developers in real time via our **Real-Time API**. Similar to the Neon Monitor app, it allows you to stream data, remotely start/stop recordings and save events. The only requirement is that the Companion device and the computer using the API are connected to the same WiFi network.
+
+This enables you to e.g. implement applications with gaze-interaction or to streamline your experiments by remotely controlling your devices and saving events automatically.
+
+Check out out our [real-time API tutorial](/real-time-api/tutorials/) to learn more!
+
+For a concrete usage example, see [Track your Experiment Progress using Events](/real-time-api/track-your-experiment-progress-using-events/)!
+
diff --git a/neon/understand-the-ecosystem/pi-monitor-app.jpg b/neon/understand-the-ecosystem/pi-monitor-app.jpg
new file mode 100644
index 000000000..e9978db94
Binary files /dev/null and b/neon/understand-the-ecosystem/pi-monitor-app.jpg differ
diff --git a/neon/understand-the-ecosystem/pupil_cloud.jpg b/neon/understand-the-ecosystem/pupil_cloud.jpg
new file mode 100644
index 000000000..865a917ca
Binary files /dev/null and b/neon/understand-the-ecosystem/pupil_cloud.jpg differ
diff --git a/nginx/nginx_redirects b/nginx/nginx_redirects
new file mode 100644
index 000000000..c2676397d
--- /dev/null
+++ b/nginx/nginx_redirects
@@ -0,0 +1,41 @@
+        rewrite ^/(neon|invisible)/getting-started/first-recording.html$ /$1/data-collection/first-recording/ permanent;
+        rewrite ^/(neon|invisible)/getting-started/analyse-recordings-in-pupil-cloud/$  /pupil-cloud/tutorials/ permanent;
+        rewrite ^/(neon|invisible)/basic-concepts/(data-streams|events)/$ /$1/data-collection/$1/ permanent;
+        rewrite ^/(neon|invisible)/basic-concepts/recordings-wearers-and-templates/$ /$1/data-collection/recordings/ permanent;
+        rewrite ^/(neon|invisible)/basic-concepts/projects-and-workspaces/$ /$1/pupil-cloud/projects/ permanent;
+        rewrite ^/(neon|invisible)/glasses-and-companion/technical-overview/$ /$1/hardware/module-technical-overview/ permanent;
+        rewrite ^/(neon|invisible)/glasses-and-companion/companion-device/$ /$1/hardware/compatible-devices/ permanent;
+        rewrite ^/(neon|invisible)/glasses-and-companion/hardware-handling/frames/$ /$1/hardware/swapping-frames/ permanent;
+        rewrite ^/(neon|invisible)/glasses-and-companion/hardware-handling/clean-and-disinfect/$ /$1/hardware/clean-and-disinfect/ permanent;
+        rewrite ^/invisible/glasses-and-companion/hardware-handling/exchange-lenses/$ /invisible/hardware/exchange-lenses/ permanent;
+        rewrite ^/invisible/glasses-and-companion/hardware-handling/attach-the-head-strap/$ /invisible/hardware/attach-the-head-strap/ permanent;
+        rewrite ^/(neon|invisible)/enrichments/gaze-overlay/$ /$1/pupil-cloud/visualizations/gaze-overlay/ permanent;
+        rewrite ^/(neon|invisible)/enrichments\/?(.*) /pupil-cloud/enrichments/$1 permanent;
+        rewrite ^/(neon|invisible)/how-tos/data-collection/monitor-your-data-collection-in-real-time.html$ /$1/data-collection/monitor-app/ permanent;
+        rewrite ^/(neon|invisible)/how-tos/data-collection/transfer-recordings-via-usb.html$ /$1/data-collection/transfer-recordings-via-usb/ permanent;
+        rewrite ^/(neon|invisible)/how-tos/data-collection/achieve-super-precise-time-sync.html$ /$1/data-collection/time-synchronization/ permanent;
+        rewrite ^/(neon|invisible)/how-tos/data-collection-with-the-companion-app/calibrate-the-imu-for-accurate-yaw-orientation/$ /$1/data-collection/calibrating-the-imu/ permanent;
+        rewrite ^/(neon|invisible)/how-tos/data-collection/using-capture/$ /$1/alpha-lab/neon-with-capture/ permanent;
+        rewrite ^/(neon|invisible)/how-tos/advance-analysis/undistort/$ /$1/alpha-lab/undistort/ permanent;
+        rewrite ^/(neon|invisible)/real-time-api/introduction/$ /$1/real-time-api/tutorials/ permanent;
+        rewrite ^/export-formats/recording-data/neon/$ /neon/data-collection/data-format/ permanent;
+        rewrite ^/export-formats/enrichment-data/reference-image-mapper/$ /neon/pupil-cloud/enrichments/reference-image-mapper/ permanent;
+        rewrite ^/export-formats/enrichment-data/marker-mapper/$ /neon/pupil-cloud/enrichments/marker-mapper/ permanent;
+        rewrite ^/export-formats/enrichment-data/face-mapper/$ /neon/pupil-cloud/enrichments/face-mapper/ permanent;
+        rewrite ^/export-formats/enrichment-data/gaze-overlay/$ /neon/pupil-cloud/visualizations/video-renderer/ permanent;
+        rewrite ^/invisible/user-guide/invisible-companion-app/$ /invisible/data-collection/compatible-devices/ permanent;
+        rewrite ^/invisible/how-tos/data-collection-with-the-companion-app/transfer-recordings-via-usb$ /invisible/data-collection/transfer-recordings-via-usb/ permanent;
+        rewrite ^/cloud/$ /neon/pupil-cloud/ permanent;
+        rewrite ^/cloud/enrichments/$ /neon/pupil-cloud/ permanent;
+        rewrite ^/invisible/explainers/enrichments$ /invisible/pupil-cloud/ permanent;
+        rewrite ^/invisible/explainers/data-streams/$ /invisible/data-collection/data-streams/ permanent;
+        rewrite ^/invisible/explainers/basic-concepts/$ /invisible/data-collection/recordings/ permanent;
+        rewrite ^/invisible/explainers/glasses-and-companion-device/$ /invisible/hardware/compatible-devices/ permanent;
+        rewrite ^/invisible/how-tos/pupil-invisible-glasses/exchange-lenses.html$ /invisible/hardware/exchange-lenses/ permanent;
+        rewrite ^/invisible/how-tos/pupil-invisible-glasses/clean-and-disinfect.html$ /invisible/hardware/clean-and-disinfect/ permanent;
+        rewrite ^/invisible/how-tos/integrate-with-the-real-time-api/introduction/$ /invisible/real-time-api/tutorials/ permanent;
+        rewrite ^/invisible/how-tos/integrate-with-the-real-time-api/track-your-experiment-progress-using-events/$ /invisible/real-time-api/track-your-experiment-progress-using-events/ permanent;
+        rewrite ^/invisible/how-tos/integrate-with-the-real-time-api/track-your-experiment-in-matlab/$ /invisible/real-time-api/track-your-experiment-in-matlab/ permanent;
+        rewrite ^/invisible/how-tos/integrate-with-the-real-time-api/legacy-api.html$ /invisible/real-time-api/legacy-api/ permanent;
+        rewrite ^/neon/hardware$ /neon/hardware/module-technical-overview/ permanent;
+        rewrite ^/invisible/hardware$ /invisible/hardware/technical-overview/ permanent;
diff --git a/package.json b/package.json
index 871ff3ae0..4db0f5e10 100644
--- a/package.json
+++ b/package.json
@@ -1,24 +1,11 @@
 {
-  "devDependencies": {
-    "@vuepress/plugin-pwa": "^1.2.0",
-    "css-loader": "^3.2.0",
-    "pug": "^3.0.1",
-    "pug-plain-loader": "^1.0.0",
-    "style-loader": "^1.0.0",
-    "stylus": "^0.54.5",
-    "stylus-loader": "^3.0.2",
-    "vuepress-plugin-dehydrate": "^1.1.5",
-    "vuepress-plugin-sitemap": "^2.1.2"
-  },
+  "name": "pupil-docs",
+  "version": "1.0.0",
+  "description": "- When importing images, use markdown-style imports ```markdown ![alt text](/path/to/image.png) ``` - When trying to create a gallery view, consider using the `PhotoGrid` component - Avoid using custom HTML and CSS as much as possible.",
+  "main": "index.js",
   "scripts": {
-    "dev": "vuepress dev src",
-    "build": "vuepress build src"
+    "test": "echo \"Error: no test specified\" && exit 1"
   },
-  "dependencies": {
-    "axios": "^0.21.2",
-    "vuepress": "1.5.3",
-    "vuepress-plugin-google-analytics-4": "^0.1.1",
-    "vuetify": "1.5.18",
-    "vuetify-loader": "1.6.0"
-  }
+  "author": "",
+  "license": "ISC"
 }
diff --git a/src/.vuepress/components/AllTags.vue b/src/.vuepress/components/AllTags.vue
deleted file mode 100644
index d6daaa085..000000000
--- a/src/.vuepress/components/AllTags.vue
+++ /dev/null
@@ -1,41 +0,0 @@
-<template lang="html">
-  <div>
-    <span v-for="tag in Object.keys(tags)">
-      <h2 :id="tag">
-        <router-link
-          :to="{ path: `/tags.html#${tag}` }"
-          class="header-anchor"
-          aria-hidden="true"
-          >#</router-link
-        >
-        {{ tag }}
-      </h2>
-      <ul>
-        <li v-for="page in tags[tag]">
-          <router-link :to="{ path: page.path }">{{ page.title }}</router-link>
-        </li>
-      </ul>
-    </span>
-  </div>
-</template>
-
-<script>
-export default {
-  computed: {
-    tags() {
-      let tags = {};
-      for (let page of this.$site.pages) {
-        for (let index in page.frontmatter.tags) {
-          const tag = page.frontmatter.tags[index];
-          if (tag in tags) {
-            tags[tag].push(page);
-          } else {
-            tags[tag] = [page];
-          }
-        }
-      }
-      return tags;
-    },
-  },
-};
-</script>
diff --git a/src/.vuepress/components/Badge.vue b/src/.vuepress/components/Badge.vue
deleted file mode 100644
index 8c0429e50..000000000
--- a/src/.vuepress/components/Badge.vue
+++ /dev/null
@@ -1,44 +0,0 @@
-<script>
-export default {
-  functional: true,
-  props: {
-    type: {
-      type: String,
-      default: 'tip'
-    },
-    text: String,
-    vertical: {
-      type: String,
-      default: 'middle'
-    }
-  },
-  render (h, { props, slots }) {
-    return h('span', {
-      class: ['badge', props.type],
-      style: {
-        verticalAlign: props.vertical
-      }
-    }, props.text || slots().default)
-  }
-}
-</script>
-
-<style lang="stylus" scoped>
-.badge
-  display inline-block
-  font-size 14px
-  height 18px
-  line-height 18px
-  border-radius 3px
-  padding 0 6px
-  color white
-  background-color #42b983
-  &.tip, &.green
-    background-color #42b983
-  &.error
-    background-color #DA5961 //#f66
-  &.warning, &.warn, &.yellow
-    background-color darken(#ffe564, 35%)
-  & + &
-    margin-left 5px
-</style>
diff --git a/src/.vuepress/components/DownloadLinks.vue b/src/.vuepress/components/DownloadLinks.vue
deleted file mode 100644
index 72cef5811..000000000
--- a/src/.vuepress/components/DownloadLinks.vue
+++ /dev/null
@@ -1,81 +0,0 @@
-
-
-<template>
-
-  <v-menu offset-y
-
-    class="mb-4">
-    <template v-slot:activator="{ on }">
-      <v-btn
-        large
-        color="primary"
-        dark
-        v-on="on"
-      >
-        Download Pupil Core Software
-      </v-btn>
-    </template>
-
-    <v-list
-      style="padding:0">
-      <div
-        style="margin:0;padding:0">
-        <v-btn
-          style="width:100%; margin:0;padding:0"
-          color="none"
-          :href="url_mac"
-          >macOS
-        </v-btn>
-      </div>
-      <div
-        style="margin:0;padding:0">
-        <v-btn
-          style="width:100%; margin:0;padding:0"
-          color="none"
-          :href="url_windows"
-          >Windows 10
-        </v-btn>
-      </div>
-      <div
-        style="margin:0;padding:0">
-        <v-btn
-          style="width:100%; margin:0;padding:0"
-          color="none"
-          :href="url_linux"
-          >Linux
-        </v-btn>
-      </div>
-    </v-list>
-  </v-menu>
-</template>
-
-<script>
-const axios = require('axios')
-export default {
-  data () {
-      return {
-        url_windows: '',
-        url_linux: '',
-        url_mac: '',
-      }
-  },
-  beforeMount() {
-    var self = this
-    axios.get("https://api.github.com/repos/pupil-labs/pupil/releases/latest")
-    .then(response => {
-      response.data.assets.forEach(asset=>{
-        if (asset.browser_download_url.indexOf('windows')>=0){
-           self.url_windows = asset.browser_download_url
-        } else if (asset.browser_download_url.indexOf('linux')>=0){
-           self.url_linux = asset.browser_download_url
-        } else if (asset.browser_download_url.indexOf('macos')>=0){
-           self.url_mac = asset.browser_download_url
-        }
-      })
-    })
-    .catch(error => {
-        console.log(error);
-    })
-  }
-}
-</script>
\ No newline at end of file
diff --git a/src/.vuepress/components/DownloadLinksMonitor.vue b/src/.vuepress/components/DownloadLinksMonitor.vue
deleted file mode 100644
index 49da79ebf..000000000
--- a/src/.vuepress/components/DownloadLinksMonitor.vue
+++ /dev/null
@@ -1,81 +0,0 @@
-
-
-<template>
-
-  <v-menu offset-y
-
-    class="mb-4">
-    <template v-slot:activator="{ on }">
-      <v-btn
-        large
-        color="primary"
-        dark
-        v-on="on"
-      >
-        Download Pupil Invisible Monitor App
-      </v-btn>
-    </template>
-
-    <v-list
-      style="padding:0">
-      <div
-        style="margin:0;padding:0">
-        <v-btn
-          style="width:100%; margin:0;padding:0"
-          color="none"
-          :href="url_mac"
-          >macOS
-        </v-btn>
-      </div>
-      <div
-        style="margin:0;padding:0">
-        <v-btn
-          style="width:100%; margin:0;padding:0"
-          color="none"
-          :href="url_windows"
-          >Windows 10
-        </v-btn>
-      </div>
-      <div
-        style="margin:0;padding:0">
-        <v-btn
-          style="width:100%; margin:0;padding:0"
-          color="none"
-          :href="url_linux"
-          >Linux
-        </v-btn>
-      </div>
-    </v-list>
-  </v-menu>
-</template>
-
-<script>
-const axios = require('axios')
-export default {
-  data () {
-      return {
-        url_windows: '',
-        url_linux: '',
-        url_mac: '',
-      }
-  },
-  beforeMount() {
-    var self = this
-    axios.get("https://api.github.com/repos/pupil-labs/pupil-invisible-monitor/releases/latest")
-    .then(response => {
-      response.data.assets.forEach(asset=>{
-        if (asset.browser_download_url.indexOf('windows')>=0){
-           self.url_windows = asset.browser_download_url
-        } else if (asset.browser_download_url.indexOf('linux_os')>=0){
-           self.url_linux = asset.browser_download_url
-        } else if (asset.browser_download_url.indexOf('mac_os')>=0){
-           self.url_mac = asset.browser_download_url
-        }
-      })
-    })
-    .catch(error => {
-        console.log(error);
-    })
-  }
-}
-</script>
\ No newline at end of file
diff --git a/src/.vuepress/components/FABbtn.vue b/src/.vuepress/components/FABbtn.vue
deleted file mode 100644
index c6a2dea7f..000000000
--- a/src/.vuepress/components/FABbtn.vue
+++ /dev/null
@@ -1,89 +0,0 @@
-<template>
-  <div v-if="show_big">
-    <!-- Use this if full screen on Desktop -->
-    <v-btn
-      round
-      fixed
-      bottom
-      right
-      outline
-      dark
-      color="#5865F2"
-      class="fixed"
-      style="bottom: 2rem; right: 2rem; font-size: small;"
-      @click="gotoChat()"
-    >
-      <v-img width="20" src="../../logos/discord-mark-color.svg"></v-img>
-      &nbsp; Chat with us in Discord
-    </v-btn>
-  </div>
-  <div v-else>
-    <!-- Use this if small screen -->
-    <!-- <v-tooltip top color="#5865F2">
-      <template v-slot:activator="{ on }">
-        <v-btn
-          v-on="on"
-          fab
-          small
-          fixed
-          bottom
-          right
-          color="#5865F2"
-          @click="gotoChat()"
-        >
-          <v-img
-            max-width="20"
-            src="../../logos/discord-mark-white.svg"
-          ></v-img>
-        </v-btn>
-      </template>
-      <span>Chat with us in Discord</span>
-    </v-tooltip> -->
-  </div>
-</template>
-
-<!-- <v-btn v-if="show-big" color="#5865F2" fab fixed bottom right @click="gotoChat">
-    <v-img max-width="28" src="../../logos/discord-mark-white.svg"></v-img> 
-    <v-icon color="white">forum</v-icon> 
-    <v-icon large color="white">contact_support</v-icon>
-    <v-icon color="white">chat</v-icon>
-    <v-icon color="white">3p</v-icon> 
-  </v-btn> -->
-
-<script>
-export default {
-  data() {
-    return {
-      show_big: true,
-      gotoChat() {
-        if (typeof window !== "undefined") {
-          window.open("https://pupil-labs.com/chat/", "_blank");
-        }
-      },
-    };
-  },
-  mounted() {
-    if (typeof window !== "undefined") {
-      this.show_big = window.innerWidth > 600;
-    }
-  },
-  /*if resize window, change the button size*/
-  beforeDestroy() {
-    if (typeof window !== "undefined") {
-      window.removeEventListener("resize", this.handleResize);
-    }
-  },
-  created() {
-    if (typeof window !== "undefined") {
-      window.addEventListener("resize", this.handleResize);
-    }
-  },
-  methods: {
-    handleResize() {
-      if (typeof window !== "undefined") {
-        this.show_big = window.innerWidth > 600;
-      }
-    },
-  },
-};
-</script>
diff --git a/src/.vuepress/components/PhotoGrid.vue b/src/.vuepress/components/PhotoGrid.vue
deleted file mode 100644
index eb9ebb273..000000000
--- a/src/.vuepress/components/PhotoGrid.vue
+++ /dev/null
@@ -1,69 +0,0 @@
-<!-- A vue class for a gallery view -->
-<template>
-  <div class="gallery">
-    <div class="gallery-panel" v-for="photo in images">
-      <img :src="photo">
-    </div>
-  </div>
-</template>
-
-<script>
-export default {
-  props: {
-    images: {
-      type: Array,
-      required: true,
-    }
-  },
-};
-</script>
-
-<style>
-.gallery {
-  display: grid;
-  grid-template-columns: repeat(auto-fill, 24%);
-  grid-gap: 0.5%;
-  max-width: 100%;
-  margin: 0rem 0rem;
-  padding: 0 0px;
-}
-
-.gallery-panel img {
-  width: 100%;
-  height: 15vw;
-  object-fit: cover;
-  border-radius: 0.75rem;
-  background-color: rgb(245,245,245);
-}
-
-
-@media screen and (min-width: 1025px) and (max-width: 1200px) {
-    .gallery {
-    grid-template-columns: repeat(auto-fill, 48%);
-    }
-    .gallery-panel img {
-    height: 20vw;
-    }
-}
-
-@media screen and (max-width: 800px) {
-    .gallery {
-    grid-template-columns: repeat(auto-fill, 49%);
-    }
-    .gallery-panel img {
-    object-fit:contain;
-    height: 30vw;
-    }
-}
-
-/* One column for mobiles */
-@media screen and (max-width: 400px) {
-    .gallery {
-    grid-template-columns: repeat(auto-fill, 100%);
-    }
-    .gallery-panel img {
-    height: 100%;
-    }
-}
-
-</style>
\ No newline at end of file
diff --git a/src/.vuepress/components/TagLinks.vue b/src/.vuepress/components/TagLinks.vue
deleted file mode 100644
index f675d7a7e..000000000
--- a/src/.vuepress/components/TagLinks.vue
+++ /dev/null
@@ -1,45 +0,0 @@
-<template>
-  <div class="caption--1 pb-3">
-    <span class="">Products used:</span>
-    <span class="taglinks">
-      <template v-for="(tag, index) in $page.frontmatter.tags">
-        <a
-          :key="`${tag}-${index}`"
-          :href="getPageLink(tag)"
-          color="primary"
-          target="_blank"
-          rel="noopener noreferrer"
-          >{{ tag }}</a
-        >
-      </template>
-    </span>
-  </div>
-</template>
-<script>
-export default {
-  methods: {
-    getPageLink(tag) {
-      const url = "https://pupil-labs.com/products";
-      if (tag.toLowerCase().includes("invisible")) {
-        return `${url}/invisible/`;
-      } else if (tag.toLowerCase().includes("neon")) {
-        return `${url}/neon/`;
-      } else if (tag.toLowerCase().includes("cloud")) {
-        return `${url}/cloud/`;
-      } else if (tag.toLowerCase().includes("core")) {
-        return `${url}/core/`;
-      } else {
-        return;
-      }
-    },
-  },
-};
-</script>
-
-<style scoped>
-.taglinks a:not(:first-child):before {
-  font-family: AtlasGrotesk, sans-serif;
-  font-size: 12px !important;
-  content: ", ";
-}
-</style>
diff --git a/src/.vuepress/components/Videos.vue b/src/.vuepress/components/Videos.vue
deleted file mode 100644
index 5ba6d1e97..000000000
--- a/src/.vuepress/components/Videos.vue
+++ /dev/null
@@ -1,23 +0,0 @@
-<template lang="pug">
-.pb-4
-  video.w-full.h-full(controls)
-    source(:src="src", :type="type")
-</template>
-
-<script>
-export default {
-  props: {
-    src: {
-      type: String | Object,
-      required: true,
-    },
-    type: {
-      type: String,
-      default: "video/mp4",
-    },
-  },
-};
-</script>
-
-<style>
-</style>
\ No newline at end of file
diff --git a/src/.vuepress/components/Youtube.vue b/src/.vuepress/components/Youtube.vue
deleted file mode 100644
index d5e32a1b6..000000000
--- a/src/.vuepress/components/Youtube.vue
+++ /dev/null
@@ -1,42 +0,0 @@
-<template lang="pug">
-.pb-4(style="display: flex; justify-content: center; aspect-ratio: 16 / 9")
-  iframe(
-    width="100%",
-    height=height,
-    :src="`https://www.youtube-nocookie.com/embed/${src}?autoplay=${autoplay}&rel=0&modestbranding=1&loop=1&muted=${muted}&cc_load_policy=${closed_caption}`",
-    frameborder="0",
-    allow="accelerometer; encrypted-media; gyroscope; picture-in-picture",
-    allowfullscreen
-  )
-</template>
-
-<script>
-export default {
-  props: {
-    src: {
-      type: String,
-      required: true,
-    },
-    height: {
-      type: String,
-      default: "100%",
-    },
-    width: {
-      type: String,
-      default: "100%",
-    },
-    muted: {
-      type: String,
-      default: "0",
-    },
-    autoplay: {
-      type: String,
-      default: "0",
-    },
-    closed_caption: {
-      type: String,
-      default: "0",
-    },
-  },
-};
-</script>
diff --git a/src/.vuepress/config.js b/src/.vuepress/config.js
deleted file mode 100644
index 983c6f236..000000000
--- a/src/.vuepress/config.js
+++ /dev/null
@@ -1,513 +0,0 @@
-const VuetifyLoaderPlugin = require("vuetify-loader/lib/plugin");
-const description =
-  "Pupil Labs - We build state of the art eye tracking hardware and software. We work hard to bring research ideas out of the lab and into the real world.";
-
-module.exports = {
-  extendPageData($page) {
-    const { frontmatter, regularPath } = $page;
-    frontmatter.meta = frontmatter.meta || [];
-
-    // get the main page names
-    let pageName = regularPath.split("/").slice(1).shift();
-    let capitalizedName = "";
-    if (pageName.length === 0) {
-      capitalizedName = "Docs";
-    } else if (pageName === "vr-ar") {
-      capitalizedName = pageName.toUpperCase();
-    } else {
-      capitalizedName = pageName.charAt(0).toUpperCase() + pageName.slice(1);
-    }
-
-    // inject meta tags to each page object
-    const default_metas = [
-      {
-        name: "twitter:title",
-        content: `${capitalizedName} - ${$page.title} - Pupil Labs`,
-      },
-      {
-        property: "og:title",
-        content: `${capitalizedName} - ${$page.title} - Pupil Labs`,
-      },
-      {
-        property: "og:description",
-        content: `${
-          frontmatter.description ? frontmatter.description : description
-        }`,
-      },
-      {
-        name: "description",
-        content: `${
-          frontmatter.description ? frontmatter.description : description
-        }`,
-      },
-    ];
-    for (const meta of default_metas) {
-      frontmatter.meta.push(meta);
-    }
-  },
-
-  title: "Pupil Labs",
-  head: [
-    ["link", { rel: "manifest", href: "/manifest.json" }],
-    ["meta", { name: "theme-color", content: "#eceff1" }],
-    [
-      "link",
-      {
-        rel: "apple-touch-icon",
-        type: "image/x-icon",
-        href: "/favicons/apple-touch-icon.png",
-      },
-    ],
-    [
-      "link",
-      {
-        rel: "icon",
-        type: "image/png",
-        sizes: "32x32",
-        href: "/favicons/favicon-32x32.png",
-      },
-    ],
-    [
-      "link",
-      {
-        rel: "icon",
-        type: "image/png",
-        sizes: "16x16",
-        href: "/favicons/favicon-16x16.png",
-      },
-    ],
-    ["meta", { name: "twitter:card", content: "summary" }],
-    ["meta", { name: "twitter:site", content: "@pupil_labs" }],
-    ["meta", { name: "twitter:creator", content: "@pupil_labs" }],
-    [
-      "meta",
-      { name: "twitter:image", content: "/favicons/og-image-primary.png" },
-    ],
-    ["meta", { property: "og:type", content: "website" }],
-    ["meta", { property: "og:site_name", content: "Pupil Labs" }],
-    ["meta", { property: "og:url", content: "https://docs.pupil-labs.com" }],
-    [
-      "meta",
-      { property: "og:image", content: "/favicons/og-image-primary.png" },
-    ],
-  ],
-
-  themeConfig: {
-    displayAllHeaders: false,
-    lastUpdated: "Last Updated",
-    sidebar: {
-      "/neon/": [
-        {
-          title: "Overview",
-          path: "/neon/",
-          collapsable: false,
-        },
-        {
-          // Getting started
-          title: "Getting Started",
-          children: [
-            "getting-started/first-recording",
-            "getting-started/understand-the-ecosystem",
-            {
-              title: "Analysis in Pupil Cloud",
-              path: "getting-started/analyse-recordings-in-pupil-cloud",
-            },
-          ],
-        },
-        {
-          // Basic Concepts
-          title: "Basic Concepts",
-          children: [
-            "basic-concepts/data-streams",
-            "basic-concepts/recordings-wearers-and-templates",
-            "basic-concepts/projects-and-workspaces",
-            "basic-concepts/events",
-          ],
-        },
-        {
-          // Glasses & Companion
-          title: "Glasses & Companion",
-          children: [
-            "glasses-and-companion/technical-overview",
-            "glasses-and-companion/companion-device",
-            {
-              title: "Hardware handling",
-              children: [
-                "glasses-and-companion/hardware-handling/frames",
-                "glasses-and-companion/hardware-handling/clean-and-disinfect",
-              ],
-            },
-          ],
-        },
-        {
-          // Enrichments
-          title: "Enrichments",
-          children: [
-            { title: "Overview", path: "/enrichments/" },
-            {
-              title: "Reference Image Mapper",
-              path: "/enrichments/reference-image-mapper/",
-            },
-            { title: "Marker Mapper", path: "/enrichments/marker-mapper/" },
-            { title: "Face Mapper", path: "/enrichments/face-mapper/" },
-            { title: "Gaze Overlay", path: "/enrichments/gaze-overlay/" },
-          ],
-        },
-        {
-          // How-To Guides
-          title: "How-To Guides",
-          children: [
-            {
-              title: "Data Collection",
-              children: [
-                "how-tos/data-collection/monitor-your-data-collection-in-real-time",
-                "how-tos/data-collection/transfer-recordings-via-usb",
-                "how-tos/data-collection/achieve-super-precise-time-sync",
-                "how-tos/data-collection/calibrate-the-imu-for-accurate-yaw-orientation",
-                {
-                  title: "Use it with Capture",
-                  path: "how-tos/data-collection/using-capture",
-                },
-              ],
-            },
-            {
-              title: "Advanced Analysis",
-              children: [
-                {
-                  title: "Undistort Video and Gaze Data",
-                  path: "how-tos/advance-analysis/undistort/",
-                },
-              ],
-            },
-          ],
-        },
-        {
-          // Real-Time API
-          title: "Real-Time API",
-          children: [
-            "real-time-api/introduction/",
-            "real-time-api/track-your-experiment-progress-using-events/",
-            "real-time-api/track-your-experiment-in-matlab",
-            {
-              title: "API Client - Developer Docs",
-              path: "https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/index.html",
-            },
-          ],
-        },
-        {
-          // Recording Format
-          title: "Export Formats",
-          children: [
-            {
-              title: "Recording Data",
-              path: "/export-formats/recording-data/neon",
-            },
-            {
-              title: "Enrichment Data",
-              path: "/export-formats/enrichment-data",
-              children: [
-                {
-                  title: "Reference Image Mapper",
-                  path: "/export-formats/enrichment-data/reference-image-mapper",
-                },
-                {
-                  title: "Marker Mapper",
-                  path: "/export-formats/enrichment-data/marker-mapper",
-                },
-                {
-                  title: "Face Mapper",
-                  path: "/export-formats/enrichment-data/face-mapper",
-                },
-                {
-                  title: "Gaze Overlay",
-                  path: "/export-formats/enrichment-data/gaze-overlay",
-                },
-              ],
-            },
-          ],
-        },
-        "troubleshooting",
-      ],
-      "/invisible/": [
-        {
-          title: "Overview",
-          path: "/invisible/",
-          collapsable: false,
-        },
-        {
-          // Getting started
-          title: "Getting Started",
-          children: [
-            "getting-started/first-recording",
-            "getting-started/understand-the-ecosystem",
-            {
-              title: "Analysis in Pupil Cloud",
-              path: "getting-started/analyse-recordings-in-pupil-cloud",
-            },
-          ],
-        },
-        {
-          // Basic Concepts
-          title: "Basic Concepts",
-          children: [
-            "basic-concepts/data-streams",
-            "basic-concepts/recordings-wearers-and-templates",
-            "basic-concepts/projects-and-workspaces",
-            "basic-concepts/events",
-          ],
-        },
-        {
-          // Glasses & Companion
-          title: "Glasses & Companion",
-          children: [
-            "glasses-and-companion/technical-overview",
-            "glasses-and-companion/companion-device",
-            {
-              title: "Hardware handling",
-              children: [
-                "glasses-and-companion/hardware-handling/exchange-lenses",
-                "glasses-and-companion/hardware-handling/clean-and-disinfect",
-                "glasses-and-companion/hardware-handling/attach-the-head-strap",
-              ],
-            },
-          ],
-        },
-        {
-          // Enrichments
-          title: "Enrichments",
-          children: [
-            {
-              title: "Overview",
-              path: "/enrichments",
-            },
-            {
-              title: "Reference Image Mapper",
-              path: "/enrichments/reference-image-mapper",
-            },
-            {
-              title: "Marker Mapper",
-              path: "/enrichments/marker-mapper/",
-            },
-            { title: "Face Mapper", path: "/enrichments/face-mapper" },
-            {
-              title: "Gaze Overlay",
-              path: "/enrichments/gaze-overlay",
-            },
-          ],
-        },
-        {
-          // How-To Guides
-          title: "How-To Guides",
-          children: [
-            {
-              title: "Data Collection",
-              children: [
-                "how-tos/data-collection-with-the-companion-app/monitor-your-data-collection-in-real-time",
-                "how-tos/data-collection-with-the-companion-app/transfer-recordings-via-usb",
-                "how-tos/data-collection-with-the-companion-app/achieve-super-precise-time-sync",
-              ],
-            },
-            {
-              title: "Advanced Analysis",
-              children: [
-                "how-tos/advanced-analysis/syncing-sensors/",
-                {
-                  title: "Undistort Video and Gaze Data",
-                  path: "how-tos/advanced-analysis/intrinsics/",
-                },
-              ],
-            },
-          ],
-        },
-        {
-          // Real-Time API
-          title: "Real-Time API",
-          children: [
-            "real-time-api/introduction/",
-            "real-time-api/track-your-experiment-progress-using-events/",
-            "real-time-api/track-your-experiment-in-matlab",
-            {
-              title: "API Client - Developer Docs",
-              path: "https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/index.html",
-            },
-            "real-time-api/legacy-api",
-          ],
-        },
-        {
-          // Recording Format
-          title: "Export Formats",
-          children: [
-            {
-              title: "Recording Data",
-              path: "/export-formats/recording-data/invisible",
-            },
-            {
-              title: "Enrichment Data",
-              path: "/export-formats/enrichment-data",
-              children: [
-                {
-                  title: "Reference Image Mapper",
-                  path: "/export-formats/enrichment-data/reference-image-mapper",
-                },
-                {
-                  title: "Marker Mapper",
-                  path: "/export-formats/enrichment-data/marker-mapper",
-                },
-                {
-                  title: "Face Mapper",
-                  path: "/export-formats/enrichment-data/face-mapper",
-                },
-                {
-                  title: "Gaze Overlay",
-                  path: "/export-formats/enrichment-data/gaze-overlay",
-                },
-              ],
-            },
-          ],
-        },
-        "troubleshooting",
-      ],
-      "/core/": [
-        "",
-        "hardware/",
-        {
-          // User Guide
-          title: "User Guide",
-          children: [
-            "software/pupil-capture",
-            "software/pupil-player",
-            "software/pupil-service",
-            "software/recording-format",
-            "terminology",
-            "best-practices",
-            "academic-citation",
-          ],
-        },
-        "diy/",
-        {
-          // Developer
-          title: "Developer",
-          children: [
-            "developer/overview",
-            "developer/network-api",
-            "developer/recording-format",
-            "developer/plugin-api",
-            "developer/pye3d",
-          ],
-        },
-      ],
-      "/vr-ar/": [
-        "",
-        "vive",
-        "hololens",
-        "rift",
-        // 'bt300',
-        "developer",
-      ],
-      "/alpha-lab/": [
-        {
-          title: "Welcome",
-          path: "/alpha-lab/",
-          collapsable: false,
-        },
-        "gaze-metrics-in-aois/",
-        {
-          title: "Use multiple Reference Image Mapper enrichments",
-          path: "multiple-rim",
-        },
-        {
-          title: "Map your gaze onto screen content",
-          path: "map-your-gaze-to-a-2d-screen",
-        },
-        {
-          title: "Map your gaze onto body parts",
-          path: "dense-pose",
-        },
-        {
-          title: "Map your gaze onto 3D models with NerfStudio",
-          path: "nerfs",
-        },
-        {
-          title: "Generate scanpaths with Reference Image Mapper",
-          path: "scanpath-rim",
-        },
-        {
-          title: "Uncover gaze behaviour on phone screens with Neon",
-          path: "phone-screens",
-        },
-        {
-          title:
-            "Build gaze-contingent assistive applications with Neon",
-          path: "gaze-contingency-assistive",
-        },
-      ],
-    },
-    sidebarDepth: 1,
-    repo: "https://github.com/pupil-labs/pupil-docs-website",
-    repoLabel: "See on Github",
-    docsRepo: "https://github.com/pupil-labs/pupil-docs",
-    docsDir: "src",
-    docsBranch: "master",
-    editLinks: true,
-    editLinkText: "Edit this page",
-    search: false,
-    searchPlaceholder: "Search documentation",
-    algolia: {
-      appId: "BANVRGB2LF",
-      apiKey: "e19afb93d6e94c2bd3d5e594b4967e0a",
-      indexName: "pupil-labs",
-    },
-  },
-
-  plugins: [
-    [
-      "@vuepress/pwa",
-      {
-        serviceWorker: true,
-        popupComponent: "div",
-      },
-    ],
-    [
-      "@vuepress/last-updated",
-      {
-        transformer: (timestamp, lang) => {
-          var date = new Date(timestamp);
-          var yy = date.getFullYear();
-          var mm = ("0" + (date.getMonth() + 1)).slice(-2);
-          var dd = ("0" + date.getDate()).slice(-2);
-          return `${yy}-${mm}-${dd}`;
-        },
-      },
-    ],
-    [
-      "sitemap",
-      {
-        hostname: "https://docs.pupil-labs.com",
-      },
-    ],
-    [
-      "dehydrate",
-      {
-        noSSR: "404.html",
-      },
-    ],
-    [
-      "google-analytics-4",
-      {
-        gtag: "G-YSCHB0T6ML",
-      },
-    ],
-  ],
-
-  chainWebpack: (config) => {
-    config.module
-      .rule("pug")
-      .test(/\.pug$/)
-      .use("pug-plain-loader")
-      .loader("pug-plain-loader")
-      .end();
-  },
-  configureWebpack: {
-    plugins: [new VuetifyLoaderPlugin()],
-  },
-};
diff --git a/src/.vuepress/enhanceApp.js b/src/.vuepress/enhanceApp.js
deleted file mode 100644
index 6ed780d70..000000000
--- a/src/.vuepress/enhanceApp.js
+++ /dev/null
@@ -1,74 +0,0 @@
-import Vuetify, {
-  VApp,
-  VBtn,
-  VCard,
-  VCardText,
-  VCardTitle,
-  VCheckbox,
-  VChip,
-  VContainer,
-  VContent,
-  VDivider,
-  VExpansionPanel,
-  VExpansionPanelContent,
-  VFlex,
-  VForm,
-  VIcon,
-  VImg,
-  VLayout,
-  VList,
-  VListTile,
-  VListTileTitle,
-  VMenu,
-  VNavigationDrawer,
-  VSpacer,
-  VTextField,
-  VToolbar,
-  VToolbarItems,
-  VTooltip,
-} from "vuetify/lib";
-
-import redirect_dict from "./redirect.js";
-
-export default ({ Vue, router, options }) => {
-  Vue.use(Vuetify, {
-    components: {
-      VApp,
-      VNavigationDrawer,
-      VToolbar,
-      VToolbarItems,
-      VTooltip,
-      VBtn,
-      VSpacer,
-      VContent,
-      VContainer,
-      VCheckbox,
-      VLayout,
-      VFlex,
-      VCard,
-      VCardTitle,
-      VTextField,
-      VForm,
-      VImg,
-      VDivider,
-      VIcon,
-      VList,
-      VListTile,
-      VListTileTitle,
-      VMenu,
-      VExpansionPanel,
-      VExpansionPanelContent,
-      VCardText,
-      VChip,
-    },
-    theme: {
-      primary: "#1263CC",
-    },
-  });
-
-  router.beforeEach((to, from, next) => {
-    const redirect = redirect_dict[to.fullPath];
-    if (redirect) next({ path: redirect });
-    else next();
-  });
-};
diff --git a/src/.vuepress/public/favicons/android-chrome-192x192.png b/src/.vuepress/public/favicons/android-chrome-192x192.png
deleted file mode 100644
index 513ecdd5d..000000000
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diff --git a/src/.vuepress/public/favicons/android-chrome-512x512.png b/src/.vuepress/public/favicons/android-chrome-512x512.png
deleted file mode 100644
index df2017e32..000000000
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diff --git a/src/.vuepress/public/favicons/apple-touch-icon-120x120.png b/src/.vuepress/public/favicons/apple-touch-icon-120x120.png
deleted file mode 100644
index 0ede3941d..000000000
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diff --git a/src/.vuepress/public/favicons/apple-touch-icon-152x152.png b/src/.vuepress/public/favicons/apple-touch-icon-152x152.png
deleted file mode 100644
index da67e06d6..000000000
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diff --git a/src/.vuepress/public/favicons/apple-touch-icon-180x180.png b/src/.vuepress/public/favicons/apple-touch-icon-180x180.png
deleted file mode 100644
index ed71860ce..000000000
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diff --git a/src/.vuepress/public/favicons/apple-touch-icon-60x60.png b/src/.vuepress/public/favicons/apple-touch-icon-60x60.png
deleted file mode 100644
index c4feaa807..000000000
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diff --git a/src/.vuepress/public/favicons/apple-touch-icon-76x76.png b/src/.vuepress/public/favicons/apple-touch-icon-76x76.png
deleted file mode 100644
index f7d925288..000000000
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diff --git a/src/.vuepress/public/favicons/apple-touch-icon.png b/src/.vuepress/public/favicons/apple-touch-icon.png
deleted file mode 100644
index b0cd2a1ff..000000000
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diff --git a/src/.vuepress/public/favicons/browserconfig.xml b/src/.vuepress/public/favicons/browserconfig.xml
deleted file mode 100644
index 8dbb8fcd0..000000000
--- a/src/.vuepress/public/favicons/browserconfig.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<browserconfig>
-    <msapplication>
-        <tile>
-            <square150x150logo src="/mstile-150x150.png"/>
-            <TileColor>#0d122a</TileColor>
-        </tile>
-    </msapplication>
-</browserconfig>
diff --git a/src/.vuepress/public/favicons/favicon-16x16.png b/src/.vuepress/public/favicons/favicon-16x16.png
deleted file mode 100644
index dec4e21d5..000000000
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diff --git a/src/.vuepress/public/favicons/favicon.ico b/src/.vuepress/public/favicons/favicon.ico
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index a68f2f1fe..000000000
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diff --git a/src/.vuepress/public/favicons/mstile-144x144.png b/src/.vuepress/public/favicons/mstile-144x144.png
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index 54c6492ee..000000000
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diff --git a/src/.vuepress/public/favicons/mstile-150x150.png b/src/.vuepress/public/favicons/mstile-150x150.png
deleted file mode 100644
index 7e9321c68..000000000
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diff --git a/src/.vuepress/public/favicons/mstile-310x150.png b/src/.vuepress/public/favicons/mstile-310x150.png
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index 351781cda..000000000
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diff --git a/src/.vuepress/public/favicons/mstile-310x310.png b/src/.vuepress/public/favicons/mstile-310x310.png
deleted file mode 100644
index e48aad5f6..000000000
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diff --git a/src/.vuepress/public/favicons/mstile-70x70.png b/src/.vuepress/public/favicons/mstile-70x70.png
deleted file mode 100644
index 731b23a8d..000000000
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diff --git a/src/.vuepress/public/favicons/og-image-primary.png b/src/.vuepress/public/favicons/og-image-primary.png
deleted file mode 100644
index 1131b4ef4..000000000
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diff --git a/src/.vuepress/public/favicons/safari-pinned-tab.svg b/src/.vuepress/public/favicons/safari-pinned-tab.svg
deleted file mode 100644
index 96fd0a67d..000000000
--- a/src/.vuepress/public/favicons/safari-pinned-tab.svg
+++ /dev/null
@@ -1,58 +0,0 @@
-<?xml version="1.0" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 20010904//EN"
- "http://www.w3.org/TR/2001/REC-SVG-20010904/DTD/svg10.dtd">
-<svg version="1.0" xmlns="http://www.w3.org/2000/svg"
- width="700.000000pt" height="700.000000pt" viewBox="0 0 700.000000 700.000000"
- preserveAspectRatio="xMidYMid meet">
-<metadata>
-Created by potrace 1.11, written by Peter Selinger 2001-2013
-</metadata>
-<g transform="translate(0.000000,700.000000) scale(0.100000,-0.100000)"
-fill="#000000" stroke="none">
-<path d="M3239 6966 c-2 -2 -38 -7 -79 -10 -41 -3 -84 -8 -95 -10 -11 -2 -42
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-</g>
-</svg>
diff --git a/src/.vuepress/public/fonts/AtlasGrotesk/AtlasGrotesk-Light.ttf b/src/.vuepress/public/fonts/AtlasGrotesk/AtlasGrotesk-Light.ttf
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index cf3d0e99b..000000000
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diff --git a/src/.vuepress/public/fonts/AtlasGrotesk/AtlasGrotesk-Regular.ttf b/src/.vuepress/public/fonts/AtlasGrotesk/AtlasGrotesk-Regular.ttf
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index 61b95f5fd..000000000
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diff --git a/src/.vuepress/public/fonts/MaterialIconsRound-Regular.woff2 b/src/.vuepress/public/fonts/MaterialIconsRound-Regular.woff2
deleted file mode 100644
index e5773e2ed..000000000
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diff --git a/src/.vuepress/public/fonts/Optimo-PxGrotesk/PxGrotesk-Regular.otf b/src/.vuepress/public/fonts/Optimo-PxGrotesk/PxGrotesk-Regular.otf
deleted file mode 100644
index 9b9a93eca..000000000
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diff --git a/src/.vuepress/public/icons/discord.svg b/src/.vuepress/public/icons/discord.svg
deleted file mode 100644
index 1421d0952..000000000
--- a/src/.vuepress/public/icons/discord.svg
+++ /dev/null
@@ -1,5 +0,0 @@
-<svg width="446" height="512" viewBox="0 0 446 512" fill="white" 
-  xmlns="http://www.w3.org/2000/svg">
-  <path d="M175.555 221.751C161.136 221.751 149.752 234.093 149.752 249.151C149.752 264.209 161.389 276.55 175.555 276.55C189.974 276.55 201.358 264.209 201.358 249.151C201.611 234.093 189.974 221.751 175.555 221.751ZM267.89 221.751C253.47 221.751 242.086 234.093 242.086 249.151C242.086 264.209 253.723 276.55 267.89 276.55C282.308 276.55 293.693 264.209 293.693 249.151C293.693 234.093 282.308 221.751 267.89 221.751Z"/>
-  <path d="M390.839 14.6526H51.8589C23.2733 14.6526 0 37.3616 0 65.5012V399.226C0 427.367 23.2733 450.075 51.8589 450.075H338.729L325.32 404.41L357.7 433.784L388.311 461.429L442.699 508.328V65.5012C442.699 37.3616 419.424 14.6526 390.839 14.6526ZM293.193 337.023C293.193 337.023 284.086 326.41 276.497 317.028C309.636 307.898 322.285 287.656 322.285 287.656C311.912 294.32 302.048 299.011 293.193 302.219C280.544 307.403 268.402 310.857 256.512 312.832C232.227 317.277 209.966 316.043 190.993 312.586C176.574 309.87 164.178 305.923 153.806 301.973C147.988 299.752 141.664 297.036 135.339 293.579C134.581 293.086 133.821 292.84 133.063 292.345C132.557 292.099 132.304 291.852 132.051 291.606C127.497 289.136 124.968 287.408 124.968 287.408C124.968 287.408 137.11 307.156 169.237 316.536C161.648 325.915 152.288 337.023 152.288 337.023C96.3819 335.294 75.1324 299.503 75.1324 299.503C75.1324 220.022 111.56 155.597 111.56 155.597C147.988 128.939 182.645 129.679 182.645 129.679L185.175 132.641C139.64 145.477 118.643 164.977 118.643 164.977C118.643 164.977 124.209 162.015 133.569 157.819C160.636 146.217 182.139 143.008 190.993 142.268C192.511 142.021 193.776 141.774 195.294 141.774C210.725 139.8 228.18 139.306 246.394 141.281C270.425 143.996 296.228 150.907 322.538 164.977C322.538 164.977 302.552 146.464 259.547 133.629L263.089 129.679C263.089 129.679 297.747 128.939 334.175 155.597C334.175 155.597 370.601 220.022 370.601 299.503C370.601 299.503 349.1 335.294 293.193 337.023Z"/>
-</svg>
diff --git a/src/.vuepress/public/icons/discord_dark.svg b/src/.vuepress/public/icons/discord_dark.svg
deleted file mode 100644
index 7c4467475..000000000
--- a/src/.vuepress/public/icons/discord_dark.svg
+++ /dev/null
@@ -1,5 +0,0 @@
-<svg width="446" height="512" viewBox="0 0 446 512" fill="#0D112A" 
-  xmlns="http://www.w3.org/2000/svg">
-  <path d="M175.555 221.751C161.136 221.751 149.752 234.093 149.752 249.151C149.752 264.209 161.389 276.55 175.555 276.55C189.974 276.55 201.358 264.209 201.358 249.151C201.611 234.093 189.974 221.751 175.555 221.751ZM267.89 221.751C253.47 221.751 242.086 234.093 242.086 249.151C242.086 264.209 253.723 276.55 267.89 276.55C282.308 276.55 293.693 264.209 293.693 249.151C293.693 234.093 282.308 221.751 267.89 221.751Z"/>
-  <path d="M390.839 14.6526H51.8589C23.2733 14.6526 0 37.3616 0 65.5012V399.226C0 427.367 23.2733 450.075 51.8589 450.075H338.729L325.32 404.41L357.7 433.784L388.311 461.429L442.699 508.328V65.5012C442.699 37.3616 419.424 14.6526 390.839 14.6526ZM293.193 337.023C293.193 337.023 284.086 326.41 276.497 317.028C309.636 307.898 322.285 287.656 322.285 287.656C311.912 294.32 302.048 299.011 293.193 302.219C280.544 307.403 268.402 310.857 256.512 312.832C232.227 317.277 209.966 316.043 190.993 312.586C176.574 309.87 164.178 305.923 153.806 301.973C147.988 299.752 141.664 297.036 135.339 293.579C134.581 293.086 133.821 292.84 133.063 292.345C132.557 292.099 132.304 291.852 132.051 291.606C127.497 289.136 124.968 287.408 124.968 287.408C124.968 287.408 137.11 307.156 169.237 316.536C161.648 325.915 152.288 337.023 152.288 337.023C96.3819 335.294 75.1324 299.503 75.1324 299.503C75.1324 220.022 111.56 155.597 111.56 155.597C147.988 128.939 182.645 129.679 182.645 129.679L185.175 132.641C139.64 145.477 118.643 164.977 118.643 164.977C118.643 164.977 124.209 162.015 133.569 157.819C160.636 146.217 182.139 143.008 190.993 142.268C192.511 142.021 193.776 141.774 195.294 141.774C210.725 139.8 228.18 139.306 246.394 141.281C270.425 143.996 296.228 150.907 322.538 164.977C322.538 164.977 302.552 146.464 259.547 133.629L263.089 129.679C263.089 129.679 297.747 128.939 334.175 155.597C334.175 155.597 370.601 220.022 370.601 299.503C370.601 299.503 349.1 335.294 293.193 337.023Z"/>
-</svg>
diff --git a/src/.vuepress/public/icons/github.svg b/src/.vuepress/public/icons/github.svg
deleted file mode 100644
index 7a981e3ed..000000000
--- a/src/.vuepress/public/icons/github.svg
+++ /dev/null
@@ -1,3 +0,0 @@
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diff --git a/src/.vuepress/public/icons/twitter.svg b/src/.vuepress/public/icons/twitter.svg
deleted file mode 100644
index 27db4c589..000000000
--- a/src/.vuepress/public/icons/twitter.svg
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diff --git a/src/.vuepress/public/icons/youtube.svg b/src/.vuepress/public/icons/youtube.svg
deleted file mode 100644
index 46bc7e7aa..000000000
--- a/src/.vuepress/public/icons/youtube.svg
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diff --git a/src/.vuepress/public/logos/discord-mark-color.svg b/src/.vuepress/public/logos/discord-mark-color.svg
deleted file mode 100644
index 1a44e7b43..000000000
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diff --git a/src/.vuepress/public/logos/discord-mark-white.svg b/src/.vuepress/public/logos/discord-mark-white.svg
deleted file mode 100644
index f905d2356..000000000
--- a/src/.vuepress/public/logos/discord-mark-white.svg
+++ /dev/null
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diff --git a/src/.vuepress/public/logos/pl_logo.svg b/src/.vuepress/public/logos/pl_logo.svg
deleted file mode 100644
index a3f947942..000000000
--- a/src/.vuepress/public/logos/pl_logo.svg
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diff --git a/src/.vuepress/public/logos/pl_logomark.svg b/src/.vuepress/public/logos/pl_logomark.svg
deleted file mode 100644
index 9d01582fc..000000000
--- a/src/.vuepress/public/logos/pl_logomark.svg
+++ /dev/null
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diff --git a/src/.vuepress/public/manifest.json b/src/.vuepress/public/manifest.json
deleted file mode 100644
index 159aa9c0d..000000000
--- a/src/.vuepress/public/manifest.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-    "name": "Pupil Labs",
-    "short_name": "Pupil Labs",
-    "icons": [
-        {
-            "src": "/favicons/android-chrome-192x192.png",
-            "sizes": "192x192",
-            "type": "image/png"
-        },
-        {
-            "src": "/favicons/android-chrome-512x512.png",
-            "sizes": "512x512",
-            "type": "image/png"
-        }
-    ],
-    "theme_color": "#eceff1",
-    "background_color": "#eceff1",
-    "start_url": "/",
-    "display": "standalone"
-}
\ No newline at end of file
diff --git a/src/.vuepress/theme/LICENSE b/src/.vuepress/theme/LICENSE
deleted file mode 100644
index 15f1f7e7a..000000000
--- a/src/.vuepress/theme/LICENSE
+++ /dev/null
@@ -1,21 +0,0 @@
-The MIT License (MIT)
-
-Copyright (c) 2018-present, Yuxi (Evan) You
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in
-all copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-THE SOFTWARE.
diff --git a/src/.vuepress/theme/components/AlgoliaSearchBox.vue b/src/.vuepress/theme/components/AlgoliaSearchBox.vue
deleted file mode 100644
index 1f2530192..000000000
--- a/src/.vuepress/theme/components/AlgoliaSearchBox.vue
+++ /dev/null
@@ -1,233 +0,0 @@
-<template lang="pug">
-#search-form.algolia-search-wrapper.search-box
-  input#algolia-search-input.search-query(:placeholder="placeholder")
-</template>
-
-<script>
-export default {
-  props: ["options"],
-
-  data() {
-    return {
-      placeholder: undefined,
-    };
-  },
-
-  mounted() {
-    this.initialize(this.options, this.$lang);
-    this.placeholder = this.$site.themeConfig.searchPlaceholder || "";
-  },
-
-  methods: {
-    initialize(userOptions, lang) {
-      Promise.all([
-        import(
-          /* webpackChunkName: "docsearch" */ "docsearch.js/dist/cdn/docsearch.min.js"
-        ),
-        import(
-          /* webpackChunkName: "docsearch" */ "docsearch.js/dist/cdn/docsearch.min.css"
-        ),
-      ]).then(([docsearch]) => {
-        docsearch = docsearch.default;
-        const { algoliaOptions = {} } = userOptions;
-        docsearch(
-          Object.assign({}, userOptions, {
-            inputSelector: "#algolia-search-input",
-            // #697 Make docsearch work well at i18n mode.
-            algoliaOptions: Object.assign(
-              {
-                facetFilters: [`lang:${lang}`].concat(
-                  algoliaOptions.facetFilters || []
-                ),
-              },
-              algoliaOptions
-            ),
-            handleSelected: (input, event, suggestion) => {
-              const { pathname, hash } = new URL(suggestion.url);
-              this.$router.push(`${pathname}${hash}`);
-              input.setVal("");
-              document.querySelector("input").blur();
-            },
-          })
-        );
-      });
-    },
-
-    update(options, lang) {
-      this.$el.innerHTML =
-        '<input id="algolia-search-input" class="search-query">';
-      this.initialize(options, lang);
-    },
-  },
-
-  watch: {
-    $lang(newValue) {
-      this.update(this.options, newValue);
-    },
-
-    options(newValue) {
-      this.update(newValue, this.$lang);
-    },
-
-    $route(to, from) {
-      const input = document.querySelector("input");
-      input.value = "";
-      this.initialize(this.options, this.$lang);
-    },
-  },
-};
-</script>
-
-<style lang="stylus">
-.algolia-search-wrapper {
-  & > span {
-    vertical-align: middle;
-  }
-
-  #algolia-search-input {
-    background-color: #eceff1;
-    height: 36px;
-  }
-
-  .algolia-autocomplete {
-    width: 100%;
-    line-height: normal;
-
-    .ds-dropdown-menu {
-      background-color: #fff;
-      border: 1px solid #999;
-      border-radius: 4px;
-      font-size: 16px;
-      margin: 6px 0 0;
-      padding: 4px;
-      text-align: left;
-
-      &:before {
-        border-color: #999;
-      }
-
-      [class*=ds-dataset-] {
-        border: 0;
-        padding: 0;
-      }
-
-      .ds-suggestions {
-        margin-top: 0;
-      }
-
-      .ds-suggestion {
-        border-bottom: 1px solid $borderColor;
-      }
-    }
-
-    .algolia-docsearch-suggestion--highlight {
-      color: #1263cc;
-    }
-
-    .algolia-docsearch-suggestion {
-      border: 0;
-      padding: 0;
-
-      .algolia-docsearch-suggestion--category-header {
-        padding: 5px 10px;
-        margin-top: 0;
-        background: #ECEFF1;
-        color: #0D122A;
-        font-weight: 600;
-
-        .algolia-docsearch-suggestion--highlight {
-          background: rgba(255, 255, 255, 0.6);
-        }
-      }
-
-      .algolia-docsearch-suggestion--wrapper {
-        padding: 0;
-      }
-
-      .algolia-docsearch-suggestion--title {
-        font-weight: 600;
-        margin-bottom: 0;
-        color: $textColor;
-      }
-
-      .algolia-docsearch-suggestion--subcategory-column {
-        vertical-align: top;
-        padding: 5px 7px 5px 5px;
-        border: 0;
-        background: #fff;
-
-        &:after {
-          display: none;
-        }
-      }
-
-      .algolia-docsearch-suggestion--subcategory-column-text {
-        color: #555;
-      }
-    }
-
-    .algolia-docsearch-footer {
-      border-color: $borderColor;
-    }
-
-    .ds-cursor .algolia-docsearch-suggestion--content {
-      background-color: #e7edf3 !important;
-      color: $textColor;
-    }
-  }
-}
-
-@media (min-width: 768px) {
-  .algolia-search-wrapper {
-    .algolia-autocomplete {
-      .algolia-docsearch-suggestion {
-        .algolia-docsearch-suggestion--subcategory-column {
-          float: none;
-          width: 150px;
-          min-width: 150px;
-          display: table-cell;
-        }
-
-        .algolia-docsearch-suggestion--content {
-          float: none;
-          display: table-cell;
-          width: 100%;
-          vertical-align: top;
-        }
-
-        .ds-dropdown-menu {
-          min-width: 515px !important;
-        }
-      }
-    }
-  }
-}
-
-@media (max-width: 768px) {
-  .algolia-search-wrapper {
-    .ds-dropdown-menu {
-      min-width: calc(100vw - 4rem) !important;
-      max-width: calc(100vw - 4rem) !important;
-    }
-
-    .algolia-docsearch-suggestion--wrapper {
-      padding: 5px 7px 5px 5px !important;
-    }
-
-    .algolia-docsearch-suggestion--subcategory-column {
-      padding: 0 !important;
-      background: white !important;
-    }
-
-    .algolia-docsearch-suggestion--subcategory-column-text:after {
-      content: ' > ';
-      font-size: 10px;
-      line-height: 14.4px;
-      display: inline-block;
-      width: 5px;
-      margin: -3px 3px 0;
-      vertical-align: middle;
-    }
-  }
-}
-</style>
\ No newline at end of file
diff --git a/src/.vuepress/theme/components/DropdownLink.vue b/src/.vuepress/theme/components/DropdownLink.vue
deleted file mode 100644
index 4eea65ee4..000000000
--- a/src/.vuepress/theme/components/DropdownLink.vue
+++ /dev/null
@@ -1,207 +0,0 @@
-<template>
-  <div class="dropdown-wrapper" :class="{ open }">
-    <a class="dropdown-title" @click="toggle">
-      <span class="title">{{ item.text }}</span>
-      <span class="arrow" :class="open ? 'down' : 'right'"></span>
-    </a>
-
-    <DropdownTransition>
-      <ul class="nav-dropdown" v-show="open">
-        <li
-          class="dropdown-item"
-          :key="subItem.link || index"
-          v-for="(subItem, index) in item.items"
-        >
-          <h4 v-if="subItem.type === 'links'">{{ subItem.text }}</h4>
-
-          <ul class="dropdown-subitem-wrapper" v-if="subItem.type === 'links'">
-            <li
-              class="dropdown-subitem"
-              :key="childSubItem.link"
-              v-for="childSubItem in subItem.items"
-            >
-              <NavLink :item="childSubItem" />
-            </li>
-          </ul>
-
-          <NavLink v-else :item="subItem" />
-        </li>
-      </ul>
-    </DropdownTransition>
-  </div>
-</template>
-
-<script>
-import NavLink from "@theme/components/NavLink.vue";
-import DropdownTransition from "@theme/components/DropdownTransition.vue";
-
-export default {
-  components: { NavLink, DropdownTransition },
-
-  data() {
-    return {
-      open: false,
-    };
-  },
-
-  props: {
-    item: {
-      required: true,
-    },
-  },
-
-  methods: {
-    toggle() {
-      this.open = !this.open;
-    },
-  },
-};
-</script>
-
-<style lang="stylus">
-.dropdown-wrapper {
-  cursor: pointer;
-
-  .dropdown-title {
-    display: block;
-
-    &:hover {
-      border-color: transparent;
-    }
-
-    .arrow {
-      vertical-align: middle;
-      margin-top: -1px;
-      margin-left: 0.4rem;
-    }
-  }
-
-  .nav-dropdown {
-    .dropdown-item {
-      color: inherit;
-      line-height: 1.7rem;
-
-      h4 {
-        margin: 0.45rem 0 0;
-        border-top: 1px solid #eee;
-        padding: 0.45rem 1.5rem 0 1.25rem;
-      }
-
-      .dropdown-subitem-wrapper {
-        padding: 0;
-        list-style: none;
-
-        .dropdown-subitem {
-          font-size: 0.9em;
-        }
-      }
-
-      a {
-        display: block;
-        line-height: 1.7rem;
-        position: relative;
-        border-bottom: none;
-        font-weight: 400;
-        margin-bottom: 0;
-        padding: 0 1.5rem 0 1.25rem;
-
-        &:hover {
-          color: $accentColor;
-        }
-
-        &.router-link-active {
-          color: $accentColor;
-
-          &::after {
-            content: '';
-            width: 0;
-            height: 0;
-            border-left: 5px solid $accentColor;
-            border-top: 3px solid transparent;
-            border-bottom: 3px solid transparent;
-            position: absolute;
-            top: calc(50% - 2px);
-            left: 9px;
-          }
-        }
-      }
-
-      &:first-child h4 {
-        margin-top: 0;
-        padding-top: 0;
-        border-top: 0;
-      }
-    }
-  }
-}
-
-@media (max-width: 768px) {
-  .dropdown-wrapper {
-    &.open .dropdown-title {
-      margin-bottom: 0.5rem;
-    }
-
-    .nav-dropdown {
-      transition: height 0.1s ease-out;
-      overflow: hidden;
-
-      .dropdown-item {
-        h4 {
-          border-top: 0;
-          margin-top: 0;
-          padding-top: 0;
-        }
-
-        h4, & > a {
-          font-size: 15px;
-          line-height: 2rem;
-        }
-
-        .dropdown-subitem {
-          font-size: 14px;
-          padding-left: 1rem;
-        }
-      }
-    }
-  }
-}
-
-@media (min-width: 768px) {
-  .dropdown-wrapper {
-    height: 1.8rem;
-
-    &:hover .nav-dropdown {
-      // override the inline style.
-      display: block !important;
-    }
-
-    .dropdown-title .arrow {
-      // make the arrow always down at desktop
-      border-left: 4px solid transparent;
-      border-right: 4px solid transparent;
-      border-top: 6px solid $arrowBgColor;
-      border-bottom: 0;
-    }
-
-    .nav-dropdown {
-      display: none;
-      // Avoid height shaked by clicking
-      height: auto !important;
-      box-sizing: border-box;
-      max-height: calc(100vh - 2.7rem);
-      overflow-y: auto;
-      position: absolute;
-      top: 100%;
-      right: 0;
-      background-color: #fff;
-      padding: 0.6rem 0;
-      border: 1px solid #ddd;
-      border-bottom-color: #ccc;
-      text-align: left;
-      border-radius: 0.25rem;
-      white-space: nowrap;
-      margin: 0;
-    }
-  }
-}
-</style>
diff --git a/src/.vuepress/theme/components/DropdownTransition.vue b/src/.vuepress/theme/components/DropdownTransition.vue
deleted file mode 100644
index 8c711a155..000000000
--- a/src/.vuepress/theme/components/DropdownTransition.vue
+++ /dev/null
@@ -1,33 +0,0 @@
-<template>
-  <transition
-    name="dropdown"
-    @enter="setHeight"
-    @after-enter="unsetHeight"
-    @before-leave="setHeight"
-  >
-    <slot/>
-  </transition>
-</template>
-
-<script>
-export default {
-  name: 'DropdownTransition',
-
-  methods: {
-    setHeight (items) {
-      // explicitly set height so that it can be transitioned
-      items.style.height = items.scrollHeight + 'px'
-    },
-
-    unsetHeight (items) {
-      items.style.height = ''
-    }
-  }
-}
-</script>
-
-<style lang="stylus">
-.dropdown-enter, .dropdown-leave-to
-  height 0 !important
-
-</style>
diff --git a/src/.vuepress/theme/components/Footer.vue b/src/.vuepress/theme/components/Footer.vue
deleted file mode 100644
index fc6730d9c..000000000
--- a/src/.vuepress/theme/components/Footer.vue
+++ /dev/null
@@ -1,137 +0,0 @@
-<template lang="pug">
-
-  div.bg-pl-not-black(id="footer")
-    footer.fill-height.white--text
-      v-container.py-5
-        v-layout(row wrap)
-          v-flex(xs12 sm4)
-            v-layout(column)
-              div(pb-5)
-                v-form(
-                  ref="form"
-                  action="https://mailchimp.us3.list-manage.com/subscribe/post"
-                  method="POST"
-                )
-                  v-text-field(
-                    class="pb-3"
-                    dark
-                    outline
-                    hide-details
-                    label="Enter email for news and updates"
-                    :rules="[rules.required, rules.email]"
-                    v-model="email"
-                    name="MERGE0"
-                    id="MERGE0"
-                  )
-                  input(type="hidden" name="u" value="ed9736f18028b208205770080")
-                  input(type="hidden" name="id" value="56698f0460")
-                  v-layout(justify-center)
-                    v-btn(
-                      type="submit"
-                      :disabled="isInvalidMail"
-                      block
-                      dark
-                      round
-                      color="#1263CC"
-                    ) Subscribe
-
-              v-layout.py-4.hidden-xs-only(row justify-center align-center)
-                div.px-3(v-for="(icon, index) in socialIcons" :key="index")
-                  a(
-                    :aria-label="icon.name.charAt(0).toUpperCase() + icon.name.slice(1)"
-                    :href="icon.href"
-                    target="_blank"
-                    rel="noopener noreferrer nofollow"
-                  )
-                    v-img(
-                      :src="$withBase(`/icons/${icon.name}.svg`)"
-                      width="32px"
-                    )
-              v-layout.hidden-xs-only(justify-center)
-                span.caption--1 Copyright © {{ currentYear() }} Pupil Labs GmbH All rights reserved.
-
-          //- internal links
-          v-spacer.hidden-xs-only
-          v-flex(xs12 sm4)
-            v-layout(row wrap).fill-height
-              v-flex(xs6)
-                v-layout(column).fill-height
-                  span.pb-3 Products
-                  v-flex(
-                    v-for="(link,i) in productLinks"
-                    :key="i"
-                  )
-                    a.pl-light-grey(
-                      :class="{'text-capitalize': link.title !== 'vr/ar', 'text-uppercase': link.title == 'vr/ar'}"
-                      :href="`https://pupil-labs.com${link.href}`"
-                      target="__blank"
-                    ) {{ link.title }}
-              v-flex(xs6)
-                v-layout(column).fill-height
-                  span.pb-3 Company
-                  v-flex(
-                    v-for="(link,i) in companyLinks"
-                    :key="i"
-                  )
-                    a.text-capitalize.pl-light-grey(
-                      :href="`https://pupil-labs.com${link.href}`"
-                      target="__blank"
-                    ) {{ link.title }}
-
-</template>
-
-<script>
-export default {
-  data() {
-    return {
-      productLinks: [
-        { title: "all products", href: "/products" },
-        { title: "pupil invisible", href: "/products/invisible/" },
-        { title: "pupil core", href: "/products/core/" },
-        { title: "vr/ar", href: "/products/vr-ar" },
-        { title: "pupil cloud", href: "/products/cloud" },
-        { title: "support", href: "/products/support" }
-      ],
-      companyLinks: [
-        { title: "about", href: "/about/" },
-        { title: "blog", href: "/blog/" },
-        { title: "careers", href: "/careers/" },
-        { title: "imprint", href: "/imprint/" },
-        { title: "legal", href: "/legal/" },
-        { title: "privacy policy", href: "/legal/privacy/" }
-      ],
-      socialIcons: [
-        { name: "github", href: "https://github.com/pupil-labs" },
-        { name: "discord", href: "https://pupil-labs.com/chat" },
-        { name: "twitter", href: "https://twitter.com/pupil_labs" },
-        {
-          name: "youtube",
-          href: "https://www.youtube.com/c/PupilLabs"
-        }
-      ],
-      email: "",
-      rules: {
-        required: value => !!value || "Required.",
-        email: value => {
-          const pattern = /^(([^<>()[\]\\.,;:\s@"]+(\.[^<>()[\]\\.,;:\s@"]+)*)|(".+"))@((\[[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}])|(([a-zA-Z\-0-9]+\.)+[a-zA-Z]{2,}))$/;
-          return pattern.test(value) || "Invalid e-mail.";
-        }
-      }
-    };
-  },
-
-  computed: {
-    isInvalidMail() {
-      const pattern = /^(([^<>()[\]\\.,;:\s@"]+(\.[^<>()[\]\\.,;:\s@"]+)*)|(".+"))@((\[[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}])|(([a-zA-Z\-0-9]+\.)+[a-zA-Z]{2,}))$/;
-      var isValid = pattern.test(this.email);
-      return !isValid;
-    }
-  },
-
-  methods: {
-    currentYear() {
-      return new Date().getFullYear();
-    }
-  }
-};
-</script>
diff --git a/src/.vuepress/theme/components/Header.vue b/src/.vuepress/theme/components/Header.vue
deleted file mode 100644
index f9360bc71..000000000
--- a/src/.vuepress/theme/components/Header.vue
+++ /dev/null
@@ -1,68 +0,0 @@
-<template lang="pug">
-div
-  v-toolbar.elevation-1.gap-container(app, fixed, clipped-left, height="60px")
-    SidebarButton(@toggle-sidebar="$emit('toggle-sidebar')")
-    router-link(to="/")
-      img.sm-hidden-down(
-        :src="$withBase('/logos/pl_logo.svg')",
-        alt="Pupil Labs logo"
-      )
-      img.sm-hidden-up(
-        :src="$withBase('/logos/pl_logomark.svg')",
-        height="52px",
-        width="auto",
-        alt="Pupil Labs logo"
-      )
-    v-spacer
-    AlgoliaSearchBox(:options="algolia")
-    v-spacer.lg-hidden-down
-    v-toolbar-items.lg-hidden-down(style="gap: 16px")
-      template(v-for="item in docs_menu")
-        v-btn(
-          flat,
-          :key="item.title",
-          :to="item.link",
-          :class="{ 'text-capitalize': item.title != 'vr/ar', 'text-uppercase': item.title == 'vr/ar' }",
-          style="margin: 0; height: 36px"
-        ) {{ item.title }}
-      v-btn.text-capitalize(
-        flat,
-        href="https://pupil-labs.com/chat/",
-        style="margin: 0; height: 36px",
-        target="_blank"
-      )
-        span.pr-1 Chat
-        OutboundLink
-</template>
-
-<script>
-import SidebarButton from "@theme/components/SidebarButton.vue";
-import Search from "@theme/components/Search.vue";
-import AlgoliaSearchBox from "@theme/components/AlgoliaSearchBox.vue";
-
-export default {
-  data() {
-    return {
-      docs_menu: [
-        { icon: "neon", title: "neon", link: "/neon/" },
-        { icon: "invisible", title: "invisible", link: "/invisible/" },
-        { icon: "core", title: "core", link: "/core/" },
-        { icon: "vr-ar", title: "vr/ar", link: "/vr-ar/" },
-        { icon: "alpha-lab", title: "Alpha Lab", link: "/alpha-lab/" },
-      ],
-    };
-  },
-  components: {
-    SidebarButton,
-    Search,
-    AlgoliaSearchBox,
-  },
-  computed: {
-    algolia() {
-      return (
-        this.$themeLocaleConfig.algolia || this.$site.themeConfig.algolia || {}
-      );
-    },
-  },
-};
-</script>
diff --git a/src/.vuepress/theme/components/Home.vue b/src/.vuepress/theme/components/Home.vue
deleted file mode 100644
index e677c76f7..000000000
--- a/src/.vuepress/theme/components/Home.vue
+++ /dev/null
@@ -1,112 +0,0 @@
-<template lang="pug">
-v-content.home
-  //- md content
-  .bg-sclera-white
-    v-container.grid-list-xl
-      v-layout.py-4(row, wrap, justify-between, align-center)
-        v-flex(xs12, sm6)
-          h1.pb-0 {{ data.title }}
-        v-flex(xs12, sm6)
-          div
-            p(style="font-size: 20px") {{ data.subtitle }}
-      v-divider
-
-  v-container(v-if="data.top_links")
-    .grid(
-      style="grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); gap: 24px"
-    )
-      div(v-for="(item, i) in data.top_links", :key="i")
-        v-card.h-full.grid(
-          flat,
-          style="grid-template-rows: auto 1fr; border: 1px solid #eceff1"
-        )
-          v-img(
-            height="100%",
-            min-height="200px",
-            max-height="300px",
-            :alt="item.alt",
-            :src="require(`../../../media/${item.src}`)"
-          )
-          v-container.h-full.pa-4
-            .h-full(
-              style="display: flex; flex-direction: column; justify-content: space-between"
-            )
-              div
-                h3.font-weight-bold {{ item.title }}
-                p {{ item.description }}
-              div
-                v-btn.ma-0.elevation-0(
-                  :to="item.link",
-                  color="#1263CC",
-                  round,
-                  dark
-                ) {{ item.btn_text }}
-
-  v-container.mb-4
-    v-card(dark, elevation="0")
-      v-img(:src="require('../../../media/invisible/pi_wide_02.jpg')")
-        v-container.h-full.pa-4.sm-pa-5
-          v-layout
-            v-flex(xs12, sm6)
-              Content.justify-space-between(
-                slot-key="articles",
-                style="display: flex; flex-direction: column"
-              )
-
-  v-container(v-if="data.bottom_links")
-    .grid(
-      style="grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); gap: 24px"
-    )
-      div(v-for="(item, i) in data.bottom_links", :key="i")
-        v-card.h-full(flat, style="background-color: #eceff1")
-          v-container.h-full.pa-4
-            .h-full(
-              style="display: flex; flex-direction: column; justify-content: space-between"
-            )
-              .pb-3
-                .pb-3(v-if="!item.logo")
-                  h3.font-weight-bold.pb-0(style="height: 40px") {{ item.title }}
-                .pb-3(v-else)
-                  v-img(
-                    contain,
-                    height="40px",
-                    width="auto",
-                    position="left",
-                    :src="require(`../../../media/logos/${item.logo}`)"
-                  )
-                p.pb-3 {{ item.description }}
-              div
-                v-btn.ma-0.elevation-0(
-                  v-if="item.link",
-                  :to="item.link",
-                  color="#1263CC",
-                  round,
-                  dark
-                ) {{ item.btn_text }}
-                v-btn.ma-0.elevation-0(
-                  v-else,
-                  :href="item.href",
-                  color="#1263CC",
-                  round,
-                  dark
-                ) {{ item.btn_text }}
-
-  Footer
-</template>
-
-<script>
-import NavLink from "@theme/components/NavLink.vue";
-import Footer from "@theme/components/Footer.vue";
-
-export default {
-  components: { NavLink, Footer },
-  computed: {
-    data() {
-      return this.$page.frontmatter;
-    },
-    page() {
-      return this.$page;
-    },
-  },
-};
-</script>
diff --git a/src/.vuepress/theme/components/NavLink.vue b/src/.vuepress/theme/components/NavLink.vue
deleted file mode 100644
index 452a1c6dc..000000000
--- a/src/.vuepress/theme/components/NavLink.vue
+++ /dev/null
@@ -1,49 +0,0 @@
-<template>
-  <router-link
-    class="nav-link"
-    :to="link"
-    v-if="!isExternal(link)"
-    :exact="exact"
-  >{{ item.text }}</router-link>
-  <a
-    v-else
-    :href="link"
-    class="nav-link external"
-    :target="isMailto(link) || isTel(link) ? null : '_blank'"
-    :rel="isMailto(link) || isTel(link) ? null : 'noopener noreferrer'"
-  >
-    {{ item.text }}
-    <OutboundLink/>
-  </a>
-</template>
-
-<script>
-import { isExternal, isMailto, isTel, ensureExt } from '../util'
-
-export default {
-  props: {
-    item: {
-      required: true
-    }
-  },
-
-  computed: {
-    link () {
-      return ensureExt(this.item.link)
-    },
-
-    exact () {
-      if (this.$site.locales) {
-        return Object.keys(this.$site.locales).some(rootLink => rootLink === this.link)
-      }
-      return this.link === '/'
-    }
-  },
-
-  methods: {
-    isExternal,
-    isMailto,
-    isTel
-  }
-}
-</script>
diff --git a/src/.vuepress/theme/components/NavLinks.vue b/src/.vuepress/theme/components/NavLinks.vue
deleted file mode 100644
index c261a4074..000000000
--- a/src/.vuepress/theme/components/NavLinks.vue
+++ /dev/null
@@ -1,155 +0,0 @@
-<template>
-  <nav class="nav-links" v-if="userLinks.length || repoLink">
-    <!-- user links -->
-    <div class="nav-item" v-for="item in userLinks" :key="item.link">
-      <DropdownLink v-if="item.type === 'links'" :item="item" />
-      <NavLink v-else :item="item" />
-    </div>
-
-    <!-- repo link -->
-    <a
-      v-if="repoLink"
-      :href="repoLink"
-      class="repo-link"
-      target="_blank"
-      rel="noopener noreferrer"
-    >
-      {{ repoLabel }}
-      <OutboundLink />
-    </a>
-  </nav>
-</template>
-
-<script>
-import DropdownLink from "@theme/components/DropdownLink.vue";
-import { resolveNavLinkItem } from "../util";
-import NavLink from "@theme/components/NavLink.vue";
-
-export default {
-  components: { NavLink, DropdownLink },
-
-  computed: {
-    userNav() {
-      return this.$themeLocaleConfig.nav || this.$site.themeConfig.nav || [];
-    },
-
-    nav() {
-      const { locales } = this.$site;
-      if (locales && Object.keys(locales).length > 1) {
-        const currentLink = this.$page.path;
-        const routes = this.$router.options.routes;
-        const themeLocales = this.$site.themeConfig.locales || {};
-        const languageDropdown = {
-          text: this.$themeLocaleConfig.selectText || "Languages",
-          items: Object.keys(locales).map((path) => {
-            const locale = locales[path];
-            const text =
-              (themeLocales[path] && themeLocales[path].label) || locale.lang;
-            let link;
-            // Stay on the current page
-            if (locale.lang === this.$lang) {
-              link = currentLink;
-            } else {
-              // Try to stay on the same page
-              link = currentLink.replace(this.$localeConfig.path, path);
-              // fallback to homepage
-              if (!routes.some((route) => route.path === link)) {
-                link = path;
-              }
-            }
-            return { text, link };
-          }),
-        };
-        return [...this.userNav, languageDropdown];
-      }
-      return this.userNav;
-    },
-
-    userLinks() {
-      return (this.nav || []).map((link) => {
-        return Object.assign(resolveNavLinkItem(link), {
-          items: (link.items || []).map(resolveNavLinkItem),
-        });
-      });
-    },
-
-    repoLink() {
-      const { repo } = this.$site.themeConfig;
-      if (repo) {
-        return /^https?:/.test(repo) ? repo : `https://github.com/${repo}`;
-      }
-    },
-
-    repoLabel() {
-      if (!this.repoLink) return;
-      if (this.$site.themeConfig.repoLabel) {
-        return this.$site.themeConfig.repoLabel;
-      }
-
-      const repoHost = this.repoLink.match(/^https?:\/\/[^/]+/)[0];
-      const platforms = ["GitHub", "GitLab", "Bitbucket"];
-      for (let i = 0; i < platforms.length; i++) {
-        const platform = platforms[i];
-        if (new RegExp(platform, "i").test(repoHost)) {
-          return platform;
-        }
-      }
-
-      return "Source";
-    },
-  },
-};
-</script>
-
-<style lang="stylus">
-.nav-links {
-  display: inline-block;
-
-  a {
-    line-height: 1.4rem;
-    color: inherit;
-
-    &:hover, &.router-link-active {
-      color: $accentColor;
-    }
-  }
-
-  .nav-item {
-    position: relative;
-    display: inline-block;
-    margin-left: 1.5rem;
-    line-height: 2rem;
-
-    &:first-child {
-      margin-left: 0;
-    }
-  }
-
-  .repo-link {
-    margin-left: 1.5rem;
-  }
-}
-
-@media (max-width: 768px) {
-  .nav-links {
-    .nav-item, .repo-link {
-      margin-left: 0;
-    }
-  }
-}
-
-@media (min-width: 768px) {
-  .nav-links a {
-    &:hover, &.router-link-active {
-      color: $textColor;
-    }
-  }
-
-  .nav-item > a:not(.external) {
-    &:hover, &.router-link-active {
-      margin-bottom: -2px;
-      border-bottom: 2px solid lighten($accentColor, 8%);
-    }
-  }
-}
-</style>
diff --git a/src/.vuepress/theme/components/Navbar.vue b/src/.vuepress/theme/components/Navbar.vue
deleted file mode 100644
index 8f5046669..000000000
--- a/src/.vuepress/theme/components/Navbar.vue
+++ /dev/null
@@ -1,155 +0,0 @@
-<template>
-  <header class="navbar">
-    <SidebarButton @toggle-sidebar="$emit('toggle-sidebar')" />
-
-    <router-link :to="$localePath" class="home-link">
-      <img
-        class="logo"
-        v-if="$site.themeConfig.logo"
-        :src="$withBase($site.themeConfig.logo)"
-        :alt="$siteTitle"
-      />
-      <span
-        ref="siteName"
-        class="site-name"
-        v-if="$siteTitle"
-        :class="{ 'can-hide': $site.themeConfig.logo }"
-        >{{ $siteTitle }}</span
-      >
-    </router-link>
-
-    <div
-      class="links"
-      :style="
-        linksWrapMaxWidth
-          ? {
-              'max-width': linksWrapMaxWidth + 'px',
-            }
-          : {}
-      "
-    >
-      <AlgoliaSearchBox v-if="isAlgoliaSearch" :options="algolia" />
-      <SearchBox
-        v-else-if="
-          $site.themeConfig.search !== false &&
-          $page.frontmatter.search !== false
-        "
-      />
-      <NavLinks class="can-hide" />
-    </div>
-  </header>
-</template>
-
-<script>
-import AlgoliaSearchBox from "@AlgoliaSearchBox";
-import SearchBox from "@SearchBox";
-import SidebarButton from "@theme/components/SidebarButton.vue";
-import NavLinks from "@theme/components/NavLinks.vue";
-
-export default {
-  components: { SidebarButton, NavLinks, SearchBox, AlgoliaSearchBox },
-
-  data() {
-    return {
-      linksWrapMaxWidth: null,
-    };
-  },
-
-  mounted() {
-    const MOBILE_DESKTOP_BREAKPOINT = 719; // refer to config.styl
-    const NAVBAR_VERTICAL_PADDING =
-      parseInt(css(this.$el, "paddingLeft")) +
-      parseInt(css(this.$el, "paddingRight"));
-    const handleLinksWrapWidth = () => {
-      if (document.documentElement.clientWidth < MOBILE_DESKTOP_BREAKPOINT) {
-        this.linksWrapMaxWidth = null;
-      } else {
-        this.linksWrapMaxWidth =
-          this.$el.offsetWidth -
-          NAVBAR_VERTICAL_PADDING -
-          ((this.$refs.siteName && this.$refs.siteName.offsetWidth) || 0);
-      }
-    };
-    handleLinksWrapWidth();
-    window.addEventListener("resize", handleLinksWrapWidth, false);
-  },
-
-  computed: {
-    algolia() {
-      return (
-        this.$themeLocaleConfig.algolia || this.$site.themeConfig.algolia || {}
-      );
-    },
-
-    isAlgoliaSearch() {
-      return this.algolia && this.algolia.apiKey && this.algolia.indexName;
-    },
-  },
-};
-
-function css(el, property) {
-  // NOTE: Known bug, will return 'auto' if style value is 'auto'
-  const win = el.ownerDocument.defaultView;
-  // null means not to return pseudo styles
-  return win.getComputedStyle(el, null)[property];
-}
-</script>
-
-<style lang="stylus">
-$navbar-vertical-padding = 0.7rem;
-$navbar-horizontal-padding = 1.5rem;
-
-.navbar {
-  padding: $navbar-vertical-padding $navbar-horizontal-padding;
-  line-height: $navbarHeight - 1.4rem;
-
-  a, span, img {
-    display: inline-block;
-  }
-
-  .logo {
-    height: $navbarHeight - 1.4rem;
-    min-width: $navbarHeight - 1.4rem;
-    margin-right: 0.8rem;
-    vertical-align: top;
-  }
-
-  .site-name {
-    font-size: 1.3rem;
-    font-weight: 600;
-    color: $textColor;
-    position: relative;
-  }
-
-  .links {
-    padding-left: 1.5rem;
-    box-sizing: border-box;
-    background-color: white;
-    white-space: nowrap;
-    font-size: 0.9rem;
-    position: absolute;
-    right: $navbar-horizontal-padding;
-    top: $navbar-vertical-padding;
-    display: flex;
-
-    .search-box {
-      flex: 0 0 auto;
-      vertical-align: top;
-    }
-  }
-}
-
-@media (max-width: 768px) {
-  .navbar {
-    padding-left: 4rem;
-
-    .can-hide {
-      display: none;
-    }
-
-    .links {
-      padding-left: 1.5rem;
-    }
-  }
-}
-</style>
diff --git a/src/.vuepress/theme/components/Page.vue b/src/.vuepress/theme/components/Page.vue
deleted file mode 100644
index 1da968e1f..000000000
--- a/src/.vuepress/theme/components/Page.vue
+++ /dev/null
@@ -1,391 +0,0 @@
-<template>
-  <v-content class="page">
-    <slot name="top" />
-
-    <div class="gridCol" id="observer-root">
-      <div>
-        <Content class="theme-default-content" />
-        <v-divider class="mt-4"></v-divider>
-        <footer class="page-edit justify-space-between" style="display: flex">
-          <div class="edit-link" v-if="editLink">
-            <a
-              class="caption--1"
-              :href="editLink"
-              target="_blank"
-              rel="noopener noreferrer"
-            >
-              {{ editLinkText }}
-              <OutboundLink />
-            </a>
-          </div>
-          <div class="last-updated caption--1" v-if="lastUpdated">
-            <span class="prefix">{{ lastUpdatedText }}:</span>
-            <span class="time">{{ lastUpdated }}</span>
-          </div>
-        </footer>
-        <div class="page-nav" v-if="prev || next">
-          <v-layout>
-            <div>
-              <v-btn
-                class="ml-0 page-nav-btn"
-                round
-                color="primary"
-                v-if="prev"
-                :to="prev.path"
-                :id="prev.title"
-              >
-                <v-icon left dark>arrow_back</v-icon>
-                Back
-              </v-btn>
-            </div>
-            <v-spacer></v-spacer>
-            <v-btn
-              class="mr-0 page-nav-btn"
-              round
-              color="primary"
-              v-if="next"
-              :to="next.path"
-              :id="next.title"
-            >
-              Next
-              <v-icon right dark>arrow_forward</v-icon>
-            </v-btn>
-          </v-layout>
-        </div>
-      </div>
-      <div v-if="haveTitle" class="pageContent">
-        <div class="page-toc">
-          <div style="display: grid; gap: 8px; padding: 8px 0">
-            <template v-for="head in $page.headers">
-              <div
-                :key="head.slug"
-                style="font-size: 12px; line-height: normal"
-              >
-                <a v-if="head.level == '2'" :href="`#${head.slug}`">
-                  {{ head.title }}
-                </a>
-                <div v-if="head.level == '3'" style="padding-left: 12px">
-                  <a :href="`#${head.slug}`">
-                    {{ head.title }}
-                  </a>
-                </div>
-              </div>
-            </template>
-          </div>
-        </div>
-      </div>
-    </div>
-    <slot name="bottom" />
-  </v-content>
-</template>
-
-<script>
-import { resolvePage, outboundRE, endingSlashRE } from "../util";
-
-export default {
-  props: ["sidebarItems"],
-  data() {
-    return {
-      observer: null,
-    };
-  },
-  mounted() {
-    this.initObserver();
-  },
-  watch: {
-    $route(to, from) {
-      this.initObserver();
-    },
-  },
-  beforeDestroy() {
-    this.observer.disconnect();
-  },
-  computed: {
-    lastUpdated() {
-      return this.$page.lastUpdated;
-    },
-    lastUpdatedText() {
-      if (typeof this.$themeLocaleConfig.lastUpdated === "string") {
-        return this.$themeLocaleConfig.lastUpdated;
-      }
-      if (typeof this.$site.themeConfig.lastUpdated === "string") {
-        return this.$site.themeConfig.lastUpdated;
-      }
-      return "Last Updated";
-    },
-    prev() {
-      const prev = this.$page.frontmatter.prev;
-      if (prev === false) {
-        return;
-      } else if (prev) {
-        return resolvePage(this.$site.pages, prev, this.$route.path);
-      } else {
-        return resolvePrev(this.$page, this.sidebarItems);
-      }
-    },
-    next() {
-      const next = this.$page.frontmatter.next;
-      if (next === false) {
-        return;
-      } else if (next) {
-        return resolvePage(this.$site.pages, next, this.$route.path);
-      } else {
-        return resolveNext(this.$page, this.sidebarItems);
-      }
-    },
-    editLink() {
-      if (this.$page.frontmatter.editLink === false) {
-        return;
-      }
-      const {
-        repo,
-        editLinks,
-        docsDir = "",
-        docsBranch = "master",
-        docsRepo = repo,
-      } = this.$site.themeConfig;
-      if (docsRepo && editLinks && this.$page.relativePath) {
-        return this.createEditLink(
-          repo,
-          docsRepo,
-          docsDir,
-          docsBranch,
-          this.$page.relativePath
-        );
-      }
-    },
-    editLinkText() {
-      return (
-        this.$themeLocaleConfig.editLinkText ||
-        this.$site.themeConfig.editLinkText ||
-        `Edit this page`
-      );
-    },
-    //
-    haveTitle() {
-      if (this.$page.headers) {
-        let pageHeaders = this.$page.headers;
-        for (let i = 0; i < pageHeaders.length; i++) {
-          const headers = pageHeaders[i];
-          if (headers.level == 2 || headers.level == 3) {
-            return true;
-          }
-        }
-      }
-    },
-  },
-  methods: {
-    initObserver() {
-      setTimeout(() => {
-        this.observer = new IntersectionObserver(this.observeHeader, {
-          threshold: 1,
-        });
-        document.querySelectorAll("h2[id]").forEach((el) => {
-          this.observer.observe(el);
-        });
-      }, 200);
-    },
-    observeHeader(entries) {
-      entries.forEach((entry) => {
-        const id = entry.target.getAttribute("id");
-        if (entry.isIntersecting) {
-          const div = document.querySelector(`div > a[href="#${id}"]`);
-          if (div) {
-            div.classList.add("active");
-          }
-        } else if (!entry.isIntersecting) {
-          const div = document.querySelector(`div > a[href="#${id}"]`);
-          if (div) {
-            div.classList.remove("active");
-          }
-        }
-      });
-    },
-    createEditLink(repo, docsRepo, docsDir, docsBranch, path) {
-      const bitbucket = /bitbucket.org/;
-      if (bitbucket.test(repo)) {
-        const base = outboundRE.test(docsRepo) ? docsRepo : repo;
-        return (
-          base.replace(endingSlashRE, "") +
-          `/src` +
-          `/${docsBranch}/` +
-          (docsDir ? docsDir.replace(endingSlashRE, "") + "/" : "") +
-          path +
-          `?mode=edit&spa=0&at=${docsBranch}&fileviewer=file-view-default`
-        );
-      }
-      const base = outboundRE.test(docsRepo)
-        ? docsRepo
-        : `https://github.dev/${docsRepo}`;
-      var link = (
-        base.replace("github.com", "github.dev").replace(endingSlashRE, "") +
-        `/blob` +
-        `/${docsBranch}/` +
-        (docsDir ? docsDir.replace(endingSlashRE, "") + "/" : "") +
-        path
-      );
-      if (this.$page.frontmatter.isNotebook) {
-        link = changeExtension(link, ".ipynb")
-      }
-      return link;
-    },
-  },
-};
-
-function changeExtension(file, extension) {
-  const path = require('path');
-  const basename = path.basename(file, path.extname(file));
-  console.log("a", basename);
-  console.log("b", path.dirname(file));
-  const result = path.dirname(file) + path.sep + basename + extension;
-  console.log("c", result);
-  return result
-};
-
-function resolvePrev(page, items) {
-  return find(page, items, -1);
-}
-
-function resolveNext(page, items) {
-  return find(page, items, 1);
-}
-
-function find(page, items, offset) {
-  const res = [];
-  flatten(items, res);
-  for (let i = 0; i < res.length; i++) {
-    const cur = res[i];
-    if (cur.type === "page" && cur.path === decodeURIComponent(page.path)) {
-      const link = res[i + offset];
-      if (link !== undefined && link.type === "external") {
-        const href = res[i + offset + offset];
-        return href;
-      } else {
-        return link;
-      }
-    }
-  }
-}
-
-function flatten(items, res) {
-  for (let i = 0, l = items.length; i < l; i++) {
-    if (items[i].type === "group") {
-      flatten(items[i].children || [], res);
-    } else {
-      res.push(items[i]);
-    }
-  }
-}
-</script>
-
-<style lang="stylus">
-@require '../styles/wrapper.styl';
-
-.page-toc {
-  position: sticky;
-  top: 120px;
-  border-left: 1px solid #1263CC;
-  padding: 0 20px;
-
-  a {
-    color: black;
-
-    &.active {
-      color: #1263cc;
-      font-weight: bold;
-    }
-
-    &:hover {
-      color: #1263cc;
-    }
-  }
-}
-
-.gridCol {
-  display: grid;
-  position: relative;
-  grid-template-columns: minmax(0, 4fr) minmax(200px, 1fr);
-  gap: 80px;
-  padding: 2rem 2.5rem;
-}
-
-.page {
-  padding: 60px 0 0 330px !important;
-  padding-bottom: 2rem;
-  display: block;
-  background-color: white;
-}
-
-.page-edit {
-  @extend $wrapper;
-  padding-top: 1rem;
-  padding-bottom: 1rem;
-  overflow: auto;
-
-  .edit-link {
-    display: inline-block;
-
-    a {
-      color: lighten($textColor, 25%);
-      margin-right: 0.25rem;
-    }
-  }
-
-  .last-updated {
-    // font-size 0.9em
-    .prefix {
-      font-weight: 500;
-      color: lighten($textColor, 25%);
-    }
-
-    .time {
-      font-weight: 400;
-      color: #aaa;
-    }
-  }
-}
-
-.page-nav {
-  @extend $wrapper;
-  padding-top: 24px;
-  padding-bottom: 24px;
-
-  .inner {
-    min-height: 2rem;
-    margin-top: 0;
-    border-top: 1px solid $borderColor;
-    padding-top: 1rem;
-    overflow: auto; // clear float
-  }
-
-  .next {
-    float: right;
-  }
-}
-
-@media (max-width: 1024px) {
-  .pageContent {
-    display: none !important;
-  }
-
-  .gridCol {
-    display: block;
-  }
-
-  .page {
-    padding-left: unset !important;
-  }
-
-  .page-edit {
-    .edit-link {
-      margin-bottom: 0.5rem;
-    }
-
-    .last-updated {
-      font-size: 0.8em;
-      float: none;
-      text-align: left;
-    }
-  }
-}
-</style>
diff --git a/src/.vuepress/theme/components/Search.vue b/src/.vuepress/theme/components/Search.vue
deleted file mode 100644
index 68265811b..000000000
--- a/src/.vuepress/theme/components/Search.vue
+++ /dev/null
@@ -1,261 +0,0 @@
-<template>
-  <div class="search-box">
-    <input
-      @input="query = $event.target.value"
-      aria-label="Search"
-      :value="query"
-      :class="{ focused: focused }"
-      autocomplete="off"
-      spellcheck="false"
-      @focus="focused = true"
-      @blur="focused = false"
-      @keyup.enter="go(focusIndex)"
-      @keyup.up="onUp"
-      @keyup.down="onDown"
-      placeholder="Search"
-    />
-    <ul
-      class="suggestions"
-      v-if="showSuggestions"
-      :class="{ 'align-left': alignRight }"
-      @mouseleave="unfocus"
-    >
-      <li
-        class="suggestion"
-        v-for="(s, i) in suggestions"
-        :key="i"
-        :class="{ focused: i === focusIndex }"
-        @mousedown="go(i)"
-        @mouseenter="focus(i)"
-      >
-        <a :href="s.path" @click.prevent>
-          <span class="page-title">{{ s.title || s.path }}</span>
-          <span v-if="s.header" class="header">&gt; {{ s.header.title }}</span>
-        </a>
-      </li>
-    </ul>
-  </div>
-</template>
-
-<script>
-/* global SEARCH_MAX_SUGGESTIONS, SEARCH_PATHS */
-export default {
-  data() {
-    return {
-      query: "",
-      focused: false,
-      focusIndex: 0,
-    };
-  },
-
-  computed: {
-    showSuggestions() {
-      return this.focused && this.suggestions && this.suggestions.length;
-    },
-
-    suggestions() {
-      const query = this.query.trim().toLowerCase();
-      if (!query) {
-        return;
-      }
-
-      const { pages } = this.$site;
-      const max = SEARCH_MAX_SUGGESTIONS;
-      const localePath = this.$localePath;
-      const matches = (item) =>
-        item.title && item.title.toLowerCase().indexOf(query) > -1;
-      const res = [];
-      for (let i = 0; i < pages.length; i++) {
-        if (res.length >= max) break;
-        const p = pages[i];
-        // filter out results that do not match current locale
-        if (this.getPageLocalePath(p) !== localePath) {
-          continue;
-        }
-
-        // filter out results that do not match searchable paths
-        if (!this.isSearchable(p)) {
-          continue;
-        }
-
-        if (matches(p)) {
-          res.push(p);
-        } else if (p.headers) {
-          for (let j = 0; j < p.headers.length; j++) {
-            if (res.length >= max) break;
-            const h = p.headers[j];
-            if (matches(h)) {
-              res.push(
-                Object.assign({}, p, {
-                  path: p.path + "#" + h.slug,
-                  header: h,
-                })
-              );
-            }
-          }
-        }
-      }
-      return res;
-    },
-
-    // make suggestions align right when there are not enough items
-    alignRight() {
-      const navCount = (this.$site.themeConfig.nav || []).length;
-      const repo = this.$site.repo ? 1 : 0;
-      return navCount + repo <= 2;
-    },
-  },
-
-  methods: {
-    getPageLocalePath(page) {
-      for (const localePath in this.$site.locales || {}) {
-        if (localePath !== "/" && page.path.indexOf(localePath) === 0) {
-          return localePath;
-        }
-      }
-      return "/";
-    },
-
-    isSearchable(page) {
-      let searchPaths = SEARCH_PATHS;
-
-      // all paths searchables
-      if (searchPaths === null) {
-        return true;
-      }
-
-      searchPaths = Array.isArray(searchPaths)
-        ? searchPaths
-        : new Array(searchPaths);
-
-      return (
-        searchPaths.filter((path) => {
-          return page.path.match(path);
-        }).length > 0
-      );
-    },
-
-    onUp() {
-      if (this.showSuggestions) {
-        if (this.focusIndex > 0) {
-          this.focusIndex--;
-        } else {
-          this.focusIndex = this.suggestions.length - 1;
-        }
-      }
-    },
-
-    onDown() {
-      if (this.showSuggestions) {
-        if (this.focusIndex < this.suggestions.length - 1) {
-          this.focusIndex++;
-        } else {
-          this.focusIndex = 0;
-        }
-      }
-    },
-
-    go(i) {
-      if (!this.showSuggestions) {
-        return;
-      }
-      this.$router.push(this.suggestions[i].path);
-      this.query = "";
-      this.focusIndex = 0;
-    },
-
-    focus(i) {
-      this.focusIndex = i;
-    },
-
-    unfocus() {
-      this.focusIndex = -1;
-    },
-  },
-};
-</script>
-
-<style lang="stylus">
-.search-box {
-  display: inline-block;
-  position: relative;
-  width: 300px;
-
-  // margin: 0 1.25rem;
-  input {
-    cursor: text;
-    width: 100%;
-    height: 40px;
-    color: lighten($textColor, 25%);
-    display: inline-block;
-    border: 1px solid darken($borderColor, 10%);
-    border-radius: 2rem;
-    font-size: 12px;
-    line-height: 2rem;
-    padding: 0 1rem 0 1rem;
-    outline: none;
-    transition: all 0.2s ease;
-    // background #fff url(search.svg) 0.6rem 0.5rem no-repeat
-    background-size: 1rem;
-
-    &:focus {
-      cursor: auto;
-      border-color: #0D122A;
-    }
-  }
-
-  .suggestions {
-    background: #fff;
-    width: 100%;
-    position: absolute;
-    top: 40px;
-    border: 1px solid darken($borderColor, 10%);
-    border-radius: 6px;
-    box-shadow: 0 5px 5px -3px rgba(0, 0, 0, 0.2), 0 8px 10px 1px rgba(0, 0, 0, 0.14), 0 3px 14px 2px rgba(0, 0, 0, 0.12);
-    padding: 0.4rem;
-    list-style-type: none;
-    z-index: 3;
-
-    &.align-left {
-      left: 0;
-    }
-  }
-
-  .suggestion {
-    line-height: 1.4;
-    padding: 0.4rem 0.6rem;
-    border-radius: 4px;
-    cursor: pointer;
-
-    a {
-      white-space: normal;
-      color: #455a64;
-
-      .page-title {
-        font-weight: 400;
-        font-size: 12px;
-      }
-
-      .header {
-        font-size: 12px;
-        margin-left: 0.25em;
-      }
-    }
-
-    &.focused {
-      background-color: #455A64;
-
-      a {
-        color: #455A64;
-      }
-    }
-  }
-}
-
-// Match IE11
-@media all and (-ms-high-contrast: none) {
-  .search-box input {
-    height: 2rem;
-  }
-}
-</style>
diff --git a/src/.vuepress/theme/components/Sidebar.vue b/src/.vuepress/theme/components/Sidebar.vue
deleted file mode 100644
index 1ef6fa6e0..000000000
--- a/src/.vuepress/theme/components/Sidebar.vue
+++ /dev/null
@@ -1,108 +0,0 @@
-<template lang="pug">
-aside.sidebar
-  NavLinks
-  slot(name="top")
-  div.sidebar-content
-    div(style="width: inherit")
-      v-list.lg-hidden-up.pa-3
-        div.sidebar-top
-          template(v-for="item in docs_menu")
-            v-list-tile(v-if="item.link", :to="item.link")
-              v-list-tile-title(
-                :class="{ 'text-capitalize': item.title != 'vr/ar', 'text-uppercase': item.title == 'vr/ar' }"
-              )
-                | {{ item.title }}
-            v-list-tile(v-else, :href="item.href", target="_blank")
-              v-list-tile-title.text-capitalize
-                span.pr-1 {{ item.title }}
-                OutboundLink
-          v-divider.lg-hidden-up
-          .pa-3
-        SidebarLinks(:depth="0", :items="items")
-    .pa-3(style="width: inherit")
-      SidebarBanner
-  slot(name="bottom")
-  slot(name="bottombutton")
-</template>
-
-<script>
-import SidebarBanner from "@theme/components/SidebarBanner.vue";
-import SidebarLinks from "@theme/components/SidebarLinks.vue";
-import NavLinks from "@theme/components/NavLinks.vue";
-
-export default {
-  name: "Sidebar",
-
-  data() {
-    return {
-      docs_menu: [
-        { icon: "home", title: "home", link: "/" },
-        { icon: "neon", title: "neon", link: "/neon/" },
-        { icon: "invisible", title: "invisible", link: "/invisible/" },
-        { icon: "core", title: "core", link: "/core/" },
-        { icon: "vr-ar", title: "vr/ar", link: "/vr-ar/" },
-        { icon: "alpha-lab", title: "alpha lab", link: "/alpha-lab/" },
-      ],
-    };
-  },
-
-  components: {
-    SidebarBanner,
-    SidebarLinks,
-    NavLinks,
-  },
-
-  props: ["items"],
-};
-</script>
-
-<style lang="stylus">
-.sidebar-content {
-  display: grid;
-  height: 100%;
-  align-content: space-between;
-  overflow: hidden;
-}
-.sidebar {
-  ul {
-    padding: 0;
-    padding-bottom: 8px;
-    margin: 0;
-    list-style-type: none;
-  }
-
-  .nav-links {
-    display: none;
-    border-bottom: 1px solid $borderColor;
-    padding: 0.5rem 0 0.75rem 0;
-
-    a {
-      font-weight: 600;
-    }
-
-    .nav-item, .repo-link {
-      display: block;
-      line-height: 1.25rem;
-      font-size: 16px;
-      padding: 0.5rem 0 0.5rem 1.5rem;
-    }
-  }
-
-  .sidebar-links:not(.sidebar-group-items) {
-    display: grid;
-    gap: 8px;
-  }
-
-  & > .sidebar-links {
-    & > li > a.sidebar-link {
-      font-size: 13px;
-      line-height: 1.7;
-      font-weight: bold;
-    }
-
-    & > li:not(:first-child) {
-      margin-top: 4px;
-    }
-  }
-}
-</style>
diff --git a/src/.vuepress/theme/components/SidebarBanner.vue b/src/.vuepress/theme/components/SidebarBanner.vue
deleted file mode 100644
index eccfbc9b0..000000000
--- a/src/.vuepress/theme/components/SidebarBanner.vue
+++ /dev/null
@@ -1,67 +0,0 @@
-<template lang="pug">
-v-list(style="display: grid; gap: 8px")
-  template(v-for="item in banner_menu")
-    v-list-tile(
-      :key="item.title",
-      :href="item.href",
-      :target="item.target",
-      rel="noopener noreferrer"
-    )
-      .d-flex(style="gap: 16px")
-        v-img(
-          v-if="item.img",
-          :src="$withBase(`/icons/${item.img}.svg`)",
-          width="32px"
-        )
-        v-icon(v-else, color="#000") {{ item.icon }}
-        v-list-tile-title
-          span.pr-1 {{ item.title }}
-</template>
-
-<script>
-export default {
-  data() {
-    return {
-      banner_menu: [
-        {
-          icon: "format_quote",
-          title: "Cite us",
-          href: "/neon/publications",
-          target: "",
-        },
-        {
-          icon: "campaign",
-          title: "Request a feature",
-          href: "https://feedback.pupil-labs.com/",
-          target: "_blank",
-        },
-        {
-          img: "discord_dark",
-          title: "Chat with us",
-          href: "https://pupil-labs.com/chat/",
-          target: "_blank",
-        },
-      ],
-    };
-  },
-  watch: {
-    $route(to, from) {
-      let citation_target = null;
-      let feedback_target = null;
-      if (to.path.includes("core") || to.path.includes("vr-ar")) {
-        citation_target = "/core/academic-citation/";
-        feedback_target =
-          "https://github.com/pupil-labs/pupil/discussions/2275";
-      } else if (to.path.includes("invisible")) {
-        citation_target = "/invisible/publications";
-        feedback_target = "https://feedback.pupil-labs.com/";
-      } else {
-        citation_target = "/neon/publications";
-        feedback_target = "https://feedback.pupil-labs.com/";
-      }
-      this.banner_menu[0].href = citation_target;
-      this.banner_menu[1].href = feedback_target;
-    },
-  },
-};
-</script>
diff --git a/src/.vuepress/theme/components/SidebarButton.vue b/src/.vuepress/theme/components/SidebarButton.vue
deleted file mode 100644
index a1a11e388..000000000
--- a/src/.vuepress/theme/components/SidebarButton.vue
+++ /dev/null
@@ -1,37 +0,0 @@
-<template>
-  <div class="sidebar-button" @click="$emit('toggle-sidebar')">
-    <svg
-      class="icon"
-      xmlns="http://www.w3.org/2000/svg"
-      aria-hidden="true"
-      role="img"
-      viewBox="0 0 448 512"
-    >
-      <path
-        fill="currentColor"
-        d="M436 124H12c-6.627 0-12-5.373-12-12V80c0-6.627 5.373-12 12-12h424c6.627 0 12 5.373 12 12v32c0 6.627-5.373 12-12 12zm0 160H12c-6.627 0-12-5.373-12-12v-32c0-6.627 5.373-12 12-12h424c6.627 0 12 5.373 12 12v32c0 6.627-5.373 12-12 12zm0 160H12c-6.627 0-12-5.373-12-12v-32c0-6.627 5.373-12 12-12h424c6.627 0 12 5.373 12 12v32c0 6.627-5.373 12-12 12z"
-        class
-      />
-    </svg>
-  </div>
-</template>
-
-<style lang="stylus">
-.sidebar-button {
-  cursor: pointer;
-  display: none;
-  padding: 0.6rem;
-
-  .icon {
-    display: block;
-    width: 24px;
-    height: 24px;
-  }
-}
-
-@media (max-width: 1024px) {
-  .sidebar-button {
-    display: block;
-  }
-}
-</style>
diff --git a/src/.vuepress/theme/components/SidebarGroup.vue b/src/.vuepress/theme/components/SidebarGroup.vue
deleted file mode 100644
index 20b0f3b14..000000000
--- a/src/.vuepress/theme/components/SidebarGroup.vue
+++ /dev/null
@@ -1,194 +0,0 @@
-<template>
-  <section
-    v-if="collapsable"
-    class="sidebar-group"
-    :class="[
-      {
-        collapsable,
-        'is-sub-group': depth !== 0,
-      },
-      `depth-${depth}`,
-    ]"
-  >
-    <router-link
-      v-if="item.path"
-      class="sidebar-heading clickable"
-      :class="{
-        open,
-        active: isActive($route, item.path),
-      }"
-      :to="item.path"
-      @click.native="$emit('toggle')"
-    >
-      <span
-        class="arrow"
-        v-if="collapsable"
-        :class="open ? 'down' : 'right'"
-      ></span>
-      <span>{{ item.title }}</span>
-    </router-link>
-
-    <a
-      v-else
-      class="sidebar-heading sidebar-link"
-      :class="{ open, 'heading-active': groupHeadActive() }"
-      :style="collapsable ? 'gap:16px;' : ''"
-      @click="$emit('toggle')"
-    >
-      <span
-        v-if="collapsable"
-        class="arrow"
-        :class="open ? 'down' : 'right'"
-      ></span>
-      <span> {{ item.title }} </span>
-    </a>
-
-    <DropdownTransition>
-      <SidebarLinks
-        class="sidebar-group-items"
-        :items="item.children"
-        v-if="open || !collapsable"
-        :sidebarDepth="item.sidebarDepth"
-        :depth="depth + 1"
-      />
-    </DropdownTransition>
-  </section>
-  <SidebarLink
-    v-else
-    :sidebarDepth="item.sidebarDepth"
-    :items="item"
-    @click.native="$emit('toggle')"
-  />
-</template>
-
-<script>
-import { isActive } from "../util";
-import DropdownTransition from "@theme/components/DropdownTransition.vue";
-import SidebarLink from "@theme/components/SidebarLink.vue";
-
-export default {
-  name: "SidebarGroup",
-  props: ["item", "open", "collapsable", "depth"],
-  components: { DropdownTransition, SidebarLink },
-  // ref: https://vuejs.org/v2/guide/components-edge-cases.html#Circular-References-Between-Components
-  beforeCreate() {
-    this.$options.components.SidebarLinks =
-      require("./SidebarLinks.vue").default;
-  },
-  methods: {
-    isActive,
-    groupHeadActive() {
-      let title = this.item.title.toLowerCase();
-      let subroute = this.$page.path
-        .split("/")
-        .slice(2, 3)
-        .pop()
-        .split("-")
-        .join(" ");
-      if (subroute == title) {
-        return true;
-      } else {
-        return false;
-      }
-    },
-  },
-};
-</script>
-
-<style lang="stylus">
-.page-active > .depth-0 > .sidebar-heading {
-  background-color: #E8F0FE;
-  border-radius: 4px;
-
-  .arrow {
-    border-top-color: #1263CC;
-  }
-
-  span {
-    color: #1263CC;
-  }
-}
-
-.sidebar-group {
-  &.uncollapsable {
-    a.sidebar-link {
-      padding-left: 40px;
-    }
-  }
-
-  .sidebar-group {
-    padding-left: 0.5em;
-  }
-
-  &:not(.collapsable) {
-    .sidebar-heading:not(.clickable) {
-      cursor: auto;
-      color: inherit;
-    }
-  }
-
-  // refine styles of nested sidebar groups
-  &.is-sub-group {
-    padding-left: 0;
-
-    & > .sidebar-heading {
-      font-size: 12px;
-      line-height: 1.4;
-      font-weight: normal;
-      padding-left: 16px;
-      // &:not(.clickable)
-      // opacity 0.5
-    }
-
-    & > .sidebar-group-items {
-      & > li > .sidebar-link {
-        font-size: 12px;
-        border-left: none;
-      }
-    }
-  }
-
-  &.depth-2 {
-    & > .sidebar-heading {
-      border-left: none;
-    }
-  }
-}
-
-.sidebar-heading {
-  color: $textColor;
-  transition: color 0.15s ease;
-  cursor: pointer;
-  // text-transform uppercase
-  // padding 8px 16px !important
-  width: 100%;
-  box-sizing: border-box;
-  margin: 0;
-
-  &.open, &:hover {
-    // color inherit
-  }
-
-  &.clickable {
-    &.active {
-      font-weight: 600;
-      color: $accentColor;
-      border-left-color: $accentColor;
-    }
-
-    &:hover {
-      color: $accentColor;
-    }
-  }
-
-  &.active {
-    font-weight: 600;
-  }
-}
-
-.sidebar-group-items {
-  transition: height 0.1s ease-out;
-  font-size: 0.95em;
-  overflow: hidden;
-}
-</style>
diff --git a/src/.vuepress/theme/components/SidebarLink.vue b/src/.vuepress/theme/components/SidebarLink.vue
deleted file mode 100644
index 637ce6b8a..000000000
--- a/src/.vuepress/theme/components/SidebarLink.vue
+++ /dev/null
@@ -1,296 +0,0 @@
-<script>
-import { isActive, hashRE, groupHeaders } from "../util";
-
-export default {
-  functional: true,
-
-  props: ["item", "sidebarDepth"],
-
-  render(
-    h,
-    {
-      parent: { $page, $site, $route, $themeConfig, $themeLocaleConfig },
-      props: { item, sidebarDepth },
-    }
-  ) {
-    // use custom active class matching logic
-    // due to edge case of paths ending with / + hash
-    const selfActive = isActive($route, item.path);
-    // for sidebar: auto pages, a hash link should be active if one of its child
-    // matches
-    const active =
-      item.type === "auto"
-        ? selfActive ||
-          item.children.some((c) =>
-            isActive($route, item.basePath + "#" + c.slug)
-          )
-        : selfActive;
-    const link =
-      item.type === "external"
-        ? renderExternal(h, item.path, item.title || item.path)
-        : renderLink(h, item.path, item.title || item.path, active);
-
-    // const configDepth =
-    //   $page.frontmatter.sidebarDepth ||
-    //   sidebarDepth ||
-    //   $themeLocaleConfig.sidebarDepth ||
-    //   $themeConfig.sidebarDepth;
-
-    // const maxDepth = configDepth == null ? 1 : configDepth;
-
-    const displayAllHeaders =
-      $themeLocaleConfig.displayAllHeaders || $themeConfig.displayAllHeaders;
-
-    if (item.type === "auto") {
-      return [link, renderChildren(h, item.children, item.basePath, $route, 0)];
-    } else if (
-      (active || displayAllHeaders) &&
-      item.headers &&
-      !hashRE.test(item.path)
-    ) {
-      const children = groupHeaders(item.headers);
-      return [link, renderChildren(h, children, item.path, $route, 0)];
-    } else {
-      return link;
-    }
-  },
-};
-
-/*
-  This code renders a link using the router-link component. The router-link
-  component is used to make links to other pages in the application. The
-  router-link component will automatically add the active class to the link
-  when the link is active. The active class is used to highlight the link
-  when the link is active.
-*/
-
-function renderLink(h, to, text, active) {
-  return h(
-    "router-link",
-    {
-      props: {
-        to,
-        activeClass: "",
-        exactActiveClass: "",
-      },
-      class: {
-        active,
-        "sidebar-link": true,
-      },
-    },
-    [h("span", text)]
-  );
-}
-
-/* This code renders the progress bar in the side navigation. */
-
-function renderI(h, depth, active) {
-  if (depth >= 1) {
-    return h("i", {
-      class: {
-        active,
-        "side-nav__progress-bar": true,
-      },
-    });
-  }
-}
-
-/* This code renders the sidebar navigation for a page.
-It takes a Vue h function, the page's children, the path to the page, the current route, the maximum depth of the sidebar, and the current depth of the sidebar.
-It returns a Vue node that renders the sidebar. */
-
-function renderChildren(h, children, path, route, maxDepth, depth = 1) {
-  if (!children || depth > maxDepth) return null;
-  return h(
-    "ul",
-    { class: `sidebar-sub-headers depth--${depth}` },
-    children.map((c) => {
-      const active = isActive(route, path + "#" + c.slug);
-      return h("li", { class: "sidebar-sub-header" }, [
-        renderI(h, depth, active),
-        renderLink(h, path + "#" + c.slug, c.title, active),
-        renderChildren(h, c.children, path, route, maxDepth, depth + 1),
-      ]);
-    })
-  );
-}
-
-/* This code renders a link to the given URL. 
-The link opens in a new tab, and has a special icon to indicate that it is an external link. 
-The text of the link is given by the text parameter. */
-
-function renderExternal(h, to, text) {
-  return h(
-    "a",
-    {
-      attrs: {
-        href: to,
-        target: "_blank",
-        rel: "noopener noreferrer",
-      },
-      class: {
-        "sidebar-link": true,
-      },
-    },
-    [h("span", text), h("OutboundLink")]
-  );
-}
-</script>
-
-<style lang="stylus">
-.sidebar .sidebar-sub-headers {
-  // padding-left 1rem
-  font-size: 0.95em;
-}
-
-.sidebar-sub-header {
-  position: relative;
-}
-
-.sidebar-group-items {
-  a {
-    border-left: unset !important;
-  }
-}
-
-a.sidebar-link {
-  font-size: 14px;
-  font-weight: bold;
-  display: flex;
-  align-items: center;
-  color: #455A64;
-  padding: 4px 16px;
-  line-height: 1.4;
-  width: 100%;
-  box-sizing: border-box;
-  min-height: 24px;
-  line-height: 1;
-
-  &:hover {
-    color: #0D122A;
-    background-color: #ECEFF1;
-  }
-
-  &.heading-active {
-    font-weight: 600;
-    color: #0D122A;
-  }
-
-  &.page-active {
-    color: #1263cc;
-  }
-
-  // .sidebar-group &
-  // padding-left 40px
-  .sidebar-sub-headers & {
-    padding-left: 48px;
-    border-left: unset;
-  }
-
-  .depth--2 & {
-    padding-left: 64px;
-  }
-}
-
-li > a.sidebar-link {
-  padding-left: 40px;
-}
-
-.depth-1 {
-  .sidebar-group-items {
-    .sidebar-link {
-      padding-left: 52px;
-    }
-  }
-}
-
-.sidebar-group-items {
-  padding: 4px 0 !important;
-
-  .sidebar-link {
-    padding-left: 40px;
-  }
-
-  .sidebar-sub-headers {
-    .sidebar-link {
-      padding-left: 48px;
-    }
-
-    .depth--2 {
-      .sidebar-link {
-        padding-left: 64px;
-      }
-    }
-  }
-
-  .depth--1 {
-    .side-nav__progress-bar {
-      height: 42px;
-    }
-  }
-
-  .depth--2 {
-    .side-nav__progress-bar {
-      height: unset;
-    }
-  }
-}
-
-.side-nav__progress-bar {
-  display: block;
-  position: absolute;
-  top: 0;
-  bottom: 0;
-  left: 30px;
-  width: 2px;
-  background: rgba(189, 189, 189, 0.4);
-
-  &.active {
-    background-color: blue;
-  }
-}
-
-// .depth-1 {
-// .sidebar-heading {
-// font-weight: bold;
-// }
-// }
-.sidebar-group {
-  .sidebar-link {
-    font-weight: bold;
-  }
-
-  .sidebar-group-items {
-    .sidebar-link {
-      font-weight: 400;
-      font-size: 12px;
-
-      &.active {
-        background-color: unset;
-        color: #1263cc;
-      }
-    }
-
-    .sidebar-heading {
-      font-weight: bold;
-    }
-  }
-
-  .side-nav__progress-bar {
-    left: 32px;
-  }
-}
-
-.sidebar-links {
-  .sidebar-link.active {
-    background-color: #E8F0FE;
-    border-radius: 4px;
-    color: #1263cc;
-  }
-}
-
-.icon.outbound {
-  margin-left: 4px;
-  top: 0;
-}
-</style>
diff --git a/src/.vuepress/theme/components/SidebarLinks.vue b/src/.vuepress/theme/components/SidebarLinks.vue
deleted file mode 100644
index 901c7ae95..000000000
--- a/src/.vuepress/theme/components/SidebarLinks.vue
+++ /dev/null
@@ -1,88 +0,0 @@
-<template>
-  <ul class="sidebar-links" v-if="items.length">
-    <li
-      v-for="(item, i) in items"
-      :key="i"
-      :class="i === openGroupIndex ? 'page-active' : ''"
-    >
-      <SidebarGroup
-        v-if="item.type === 'group'"
-        :item="item"
-        :open="i === openGroupIndex"
-        :collapsable="item.collapsable || item.collapsible"
-        :depth="depth"
-        @toggle="toggleGroup(i)"
-      />
-      <SidebarLink
-        v-else
-        :sidebarDepth="sidebarDepth"
-        :item="item"
-        @click.native="$emit('toggle')"
-      />
-    </li>
-  </ul>
-</template>
-
-<script>
-import SidebarGroup from "@theme/components/SidebarGroup.vue";
-import SidebarLink from "@theme/components/SidebarLink.vue";
-import { isActive } from "../util";
-
-export default {
-  name: "SidebarLinks",
-
-  components: { SidebarGroup, SidebarLink },
-
-  props: [
-    "items",
-    "depth", // depth of current sidebar links
-    "sidebarDepth", // depth of headers to be extracted
-  ],
-
-  data() {
-    return {
-      openGroupIndex: 0,
-    };
-  },
-
-  created() {
-    this.refreshIndex();
-  },
-
-  watch: {
-    $route() {
-      this.refreshIndex();
-    },
-  },
-
-  methods: {
-    refreshIndex() {
-      const index = resolveOpenGroupIndex(this.$route, this.items);
-      if (index > -1) {
-        this.openGroupIndex = index;
-      }
-    },
-
-    toggleGroup(index) {
-      this.openGroupIndex = index === this.openGroupIndex ? -1 : index;
-    },
-
-    isActive(page) {
-      return isActive(this.$route, page.regularPath);
-    },
-  },
-};
-
-function resolveOpenGroupIndex(route, items) {
-  for (let i = 0; i < items.length; i++) {
-    const item = items[i];
-    if (
-      item.type === "group" &&
-      item.children.some((c) => c.type === "page" && isActive(route, c.path))
-    ) {
-      return i;
-    }
-  }
-  return -1;
-}
-</script>
\ No newline at end of file
diff --git a/src/.vuepress/theme/index.js b/src/.vuepress/theme/index.js
deleted file mode 100644
index 56369c98a..000000000
--- a/src/.vuepress/theme/index.js
+++ /dev/null
@@ -1,41 +0,0 @@
-const path = require('path');
-
-// Theme API.
-module.exports = (options, ctx) => ({
-  alias() {
-    const { themeConfig, siteConfig } = ctx;
-    // resolve algolia
-    const isAlgoliaSearch = (
-      themeConfig.algolia || Object.keys(siteConfig.locales && themeConfig.locales || {})
-        .some(base => themeConfig.locales[base].algolia)
-    );
-    return {
-      '@AlgoliaSearchBox': isAlgoliaSearch ? path.resolve(__dirname, 'components/AlgoliaSearchBox.vue')
-        : path.resolve(__dirname, 'noopModule.js')
-    };
-  },
-
-  plugins: [
-    ['@vuepress/active-header-links', options.activeHeaderLinks],
-    '@vuepress/search',
-    '@vuepress/plugin-nprogress',
-    ['container', {
-      type: 'tip',
-      defaultTitle: {
-        '/zh/': '提示'
-      }
-    }],
-    ['container', {
-      type: 'warning',
-      defaultTitle: {
-        '/zh/': '注意'
-      }
-    }],
-    ['container', {
-      type: 'danger',
-      defaultTitle: {
-        '/zh/': '警告'
-      }
-    }]
-  ]
-});
diff --git a/src/.vuepress/theme/layouts/404.vue b/src/.vuepress/theme/layouts/404.vue
deleted file mode 100644
index d94e03be7..000000000
--- a/src/.vuepress/theme/layouts/404.vue
+++ /dev/null
@@ -1,113 +0,0 @@
-<template>
-  <v-app
-    class="theme-container"
-    :class="pageClasses"
-    @touchstart="onTouchStart"
-    @touchend="onTouchEnd"
-  >
-    <Header ref="header" @toggle-sidebar="toggleSidebar"></Header>
-    <div class="sidebar-mask" @click="toggleSidebar(false)"></div>
-    <Sidebar :items="sidebarItems" @toggle-sidebar="toggleSidebar">
-      <slot name="sidebar-top" slot="top" />
-      <slot name="sidebar-bottom" slot="bottom" />
-    </Sidebar>
-    <v-content>
-      <v-container justify-center align-center fill-height style="display:flex;">
-        <div>
-          <div class="pb-4">
-            <h1 style="font-size:144px;line-height:144px;">404</h1>
-            <h2 class="pb-1">Oops!</h2>
-            <h2>{{ getMsg() }}</h2>
-          </div>
-          <v-btn dark round block to="/" color="primary" class="ma-0">Go Home</v-btn>
-        </div>
-      </v-container>
-      <Footer></Footer>
-    </v-content>
-  </v-app>
-</template>
-
-<script>
-import Header from "@theme/components/Header.vue";
-import Sidebar from "@theme/components/Sidebar.vue";
-import Footer from "@theme/components/Footer.vue";
-import { resolveSidebarItems } from "../util";
-
-export default {
-  data() {
-    return {
-      isSidebarOpen: false,
-      msgs: [
-        `There's nothing here.`,
-        `How did we get here?`,
-        `That's a Four-Oh-Four.`,
-        `This is not the page you are looking for.`
-      ]
-    };
-  },
-  components: {
-    Header,
-    Sidebar,
-    Footer
-  },
-  computed: {
-    shouldShowSidebar() {
-      const { frontmatter } = this.$page;
-      return (
-        !frontmatter.home &&
-        frontmatter.sidebar !== false &&
-        this.sidebarItems.length
-      );
-    },
-    sidebarItems() {
-      return resolveSidebarItems(
-        this.$page,
-        this.$page.regularPath,
-        this.$site,
-        this.$localePath
-      );
-    },
-    pageClasses() {
-      const userPageClass = this.$page.frontmatter.pageClass;
-      return [
-        {
-          "no-navbar": !this.shouldShowNavbar,
-          "sidebar-open": this.isSidebarOpen,
-          "no-sidebar": !this.shouldShowSidebar
-        },
-        userPageClass
-      ];
-    }
-  },
-  mounted() {
-    this.$router.afterEach(() => {
-      this.isSidebarOpen = false;
-    });
-  },
-  methods: {
-    getMsg() {
-      return this.msgs[Math.floor(Math.random() * this.msgs.length)];
-    },
-    toggleSidebar(to) {
-      this.isSidebarOpen = typeof to === "boolean" ? to : !this.isSidebarOpen;
-    },
-    onTouchStart(e) {
-      this.touchStart = {
-        x: e.changedTouches[0].clientX,
-        y: e.changedTouches[0].clientY
-      };
-    },
-    onTouchEnd(e) {
-      const dx = e.changedTouches[0].clientX - this.touchStart.x;
-      const dy = e.changedTouches[0].clientY - this.touchStart.y;
-      if (Math.abs(dx) > Math.abs(dy) && Math.abs(dx) > 40) {
-        if (dx > 0 && this.touchStart.x <= 80) {
-          this.toggleSidebar(true);
-        } else {
-          this.toggleSidebar(false);
-        }
-      }
-    }
-  }
-};
-</script>
\ No newline at end of file
diff --git a/src/.vuepress/theme/layouts/Layout.vue b/src/.vuepress/theme/layouts/Layout.vue
deleted file mode 100644
index 93bbda7c9..000000000
--- a/src/.vuepress/theme/layouts/Layout.vue
+++ /dev/null
@@ -1,152 +0,0 @@
-<template>
-  <v-app
-    class="theme-container"
-    :class="pageClasses"
-    @touchstart="onTouchStart"
-    @touchend="onTouchEnd"
-  >
-    <Header ref="header" @toggle-sidebar="toggleSidebar"></Header>
-
-    <div class="sidebar-mask" @click="toggleSidebar(false)"></div>
-    <Sidebar :items="sidebarItems" @toggle-sidebar="toggleSidebar">
-      <slot name="sidebar-top" slot="top" />
-      <slot name="sidebar-bottom" slot="bottom" />
-    </Sidebar>
-
-    <Home v-if="$page.frontmatter.home" />
-
-    <Page v-else :sidebar-items="sidebarItems">
-      <slot name="page-top" slot="top" />
-      <slot name="page-bottom" slot="bottom" />
-    </Page>
-  </v-app>
-</template>
-
-<script>
-import Home from "@theme/components/Home.vue";
-import Page from "@theme/components/Page.vue";
-import Sidebar from "@theme/components/Sidebar.vue";
-import Header from "@theme/components/Header.vue";
-import { resolveSidebarItems } from "../util";
-
-export default {
-  components: { Home, Page, Sidebar, Header },
-
-  data() {
-    return {
-      isSidebarOpen: false,
-      previousPageUrl: null,
-    };
-  },
-
-  computed: {
-    shouldShowSidebar() {
-      const { frontmatter } = this.$page;
-      return (
-        !frontmatter.home &&
-        frontmatter.sidebar !== false &&
-        this.sidebarItems.length
-      );
-    },
-
-    sidebarItems() {
-      /* Fail safe, previousPage will be null if coming from external source, thus load neon for enrichments and export formats*/
-      if (this.previousPageUrl === null) {
-        if (
-          this.$page.regularPath.includes("enrichments") ||
-          this.$page.regularPath.includes("export-formats")
-        ) {
-          this.previousPageUrl = "/neon/";
-        } else {
-          this.previousPageUrl = this.$page.regularPath;
-        }
-      }
-      console.log(this.previousPageUrl);
-      return resolveSidebarItems(
-        this.$page,
-        this.previousPageUrl,
-        this.$site,
-        this.$localePath
-      );
-    },
-
-    pageClasses() {
-      const userPageClass = this.$page.frontmatter.pageClass;
-      return [
-        {
-          "no-navbar": !this.shouldShowNavbar,
-          "sidebar-open": this.isSidebarOpen,
-          "no-sidebar": !this.shouldShowSidebar,
-        },
-        userPageClass,
-      ];
-    },
-  },
-
-  mounted() {
-    this.$router.afterEach((to, from) => {
-      this.isSidebarOpen = false;
-      /* This part here checks from which page comes from and sets the previous url accordingly.*/
-      if (from.path.includes("invisible")) {
-        if (
-          this.$page.regularPath.includes("enrichments") ||
-          this.$page.regularPath.includes("export-formats")
-        ) {
-          this.previousPageUrl = "/invisible/";
-        } else {
-          this.previousPageUrl = to.path;
-        }
-      } else if (
-        from.path.includes("enrichments") ||
-        from.path.includes("export-formats")
-      ) {
-        if (
-          this.$page.regularPath.includes("enrichments") ||
-          this.$page.regularPath.includes("export-formats")
-        ) {
-          this.previousPageUrl = from.$page.previousPageUrl;
-        } else {
-          this.previousPageUrl = to.path;
-        }
-      } else {
-        if (
-          this.$page.regularPath.includes("enrichments") ||
-          this.$page.regularPath.includes("export-formats")
-        ) {
-          this.previousPageUrl = "/neon/";
-        } else {
-          this.previousPageUrl = to.path;
-        }
-      }
-    });
-  },
-
-  methods: {
-    toggleSidebar(to) {
-      this.isSidebarOpen = typeof to === "boolean" ? to : !this.isSidebarOpen;
-    },
-
-    // side swipe
-    onTouchStart(e) {
-      this.touchStart = {
-        x: e.changedTouches[0].clientX,
-        y: e.changedTouches[0].clientY,
-      };
-    },
-
-    onTouchEnd(e) {
-      const dx = e.changedTouches[0].clientX - this.touchStart.x;
-      const dy = e.changedTouches[0].clientY - this.touchStart.y;
-      if (Math.abs(dx) > Math.abs(dy) && Math.abs(dx) > 40) {
-        if (dx > 0 && this.touchStart.x <= 80) {
-          this.toggleSidebar(true);
-        } else {
-          this.toggleSidebar(false);
-        }
-      }
-    },
-  },
-};
-</script>
-
-<style src="prismjs/themes/prism-tomorrow.css"></style>
diff --git a/src/.vuepress/theme/noopModule.js b/src/.vuepress/theme/noopModule.js
deleted file mode 100644
index b1c6ea436..000000000
--- a/src/.vuepress/theme/noopModule.js
+++ /dev/null
@@ -1 +0,0 @@
-export default {}
diff --git a/src/.vuepress/theme/styles/arrow.styl b/src/.vuepress/theme/styles/arrow.styl
deleted file mode 100644
index 75f9840dc..000000000
--- a/src/.vuepress/theme/styles/arrow.styl
+++ /dev/null
@@ -1,35 +0,0 @@
-@require './config'
-
-.arrow
-  display inline-block
-  width 8px
-  height 8px
-  &.up
-    border-left 4px solid transparent
-    border-right 4px solid transparent
-    border-bottom 6px solid #455A64
-  &.down
-    border-left 4px solid transparent
-    border-right 4px solid transparent
-    border-top 6px solid black
-  &.right
-    border-top 4px solid transparent
-    border-bottom 4px solid transparent
-    border-left 6px solid #455A64
-  &.left
-    border-top 4px solid transparent
-    border-bottom 4px solid transparent
-    border-right 6px solid #455A64
-
-.depth-1
-  .arrow
-    width 6px
-    height 6px
-    &.down
-      border-left 3px solid transparent
-      border-right 3px solid transparent
-      border-top 4px solid black
-     &.right
-      border-top 3px solid transparent
-      border-bottom 3px solid transparent
-      border-left 4px solid #455A64
\ No newline at end of file
diff --git a/src/.vuepress/theme/styles/code.styl b/src/.vuepress/theme/styles/code.styl
deleted file mode 100644
index 42d5a7564..000000000
--- a/src/.vuepress/theme/styles/code.styl
+++ /dev/null
@@ -1,139 +0,0 @@
-{$contentClass}
-  code
-    color lighten($textColor, 20%)
-    padding 0.05rem 0.5rem
-    // margin 0.2rem 0rem
-    font-size 14px
-    background-color rgba(27,31,35,0.05)
-    border-radius 3px
-    .token
-      &.deleted
-        color #EC5975
-      &.inserted
-        color $accentColor
-
-{$contentClass}
-  pre, pre[class*="language-"]
-    line-height 1.4
-    padding 1.25rem 1.5rem
-    background-color $codeBgColor
-    border-radius 6px
-    overflow auto
-    code
-      color #fff
-      padding 0
-      background-color transparent
-      border-radius 0
-      width 88ch
-      &::after
-        content None
-
-div[class*="language-"]
-  position relative
-  background-color $codeBgColor
-  border-radius 6px
-  display grid
-  margin 0.85rem 0
-  .highlight-lines
-    user-select none
-    padding-top 1.3rem
-    position absolute
-    top 0
-    left 0
-    width 100%
-    line-height 1.4
-    .highlighted
-      background-color rgba(0, 0, 0, 66%)
-  pre, pre[class*="language-"]
-    background transparent
-    position relative
-    z-index 1
-  &::before
-    position absolute
-    z-index 3
-    top 0.8em
-    right 1em
-    font-size 0.75rem
-    color rgba(255, 255, 255, 0.4)
-  &:not(.line-numbers-mode)
-    .line-numbers-wrapper
-      display none
-  &.line-numbers-mode
-    .highlight-lines .highlighted
-        position relative
-        &:before
-          content ' '
-          position absolute
-          z-index 3
-          left 0
-          top 0
-          display block
-          width $lineNumbersWrapperWidth
-          height 100%
-          background-color rgba(0, 0, 0, 66%)
-    pre
-      padding-left $lineNumbersWrapperWidth + 1 rem
-      vertical-align middle
-    .line-numbers-wrapper
-      position absolute
-      top 0
-      width $lineNumbersWrapperWidth
-      text-align center
-      color rgba(255, 255, 255, 0.3)
-      padding 1.25rem 0
-      line-height 1.4
-      br
-        user-select none
-      .line-number
-        position relative
-        z-index 4
-        user-select none
-        font-size 14px
-    &::after
-      content none
-      position absolute
-      z-index 2
-      top 0
-      left 0
-      width $lineNumbersWrapperWidth
-      height 100%
-      border-radius 6px 0 0 6px
-      border-right 1px solid rgba(0, 0, 0, 66%)
-      background-color $codeBgColor
-
-
-for lang in $codeLang
-  div{'[class~="language-' + lang + '"]'}
-    &:before
-      content ('' + lang)
-
-div[class~="language-javascript"]
-  &:before
-    content "js"
-
-div[class~="language-typescript"]
-  &:before
-    content "ts"
-
-div[class~="language-markup"]
-  &:before
-    content "html"
-
-div[class~="language-markdown"]
-  &:before
-    content "md"
-
-div[class~="language-json"]:before
-  content "json"
-
-div[class~="language-ruby"]:before
-  content "rb"
-
-div[class~="language-python"]:before
-  content "py"
-
-div[class~="language-bash"]:before
-  content "sh"
-
-div[class~="language-php"]:before
-  content "php"
\ No newline at end of file
diff --git a/src/.vuepress/theme/styles/color.styl b/src/.vuepress/theme/styles/color.styl
deleted file mode 100644
index ee14c935c..000000000
--- a/src/.vuepress/theme/styles/color.styl
+++ /dev/null
@@ -1,39 +0,0 @@
-$pl-not-black =      #0D122A
-$pl-dark-gray =      #263238
-$pl-gray =           #455A64
-$pl-light-grey =     #90A4AE
-$sclera-gray =       #ECEFF1
-$sclera-white =      #FAFAFA
-$iris-green =        #06A125
-$iris-light-green =  #7ECC80
-$iris-blue =         #039BE5
-$iris-light-blue =   #68C3EF
-$iris-dark-blue =    #283593
-$retina-red =        #F44336
-$macula-pink =       #FF9E80
-
-$colors := {
-  pl-not-black: #0D122A
-  pl-dark-gray: #263238
-  pl-gray: #455A64
-  pl-light-grey: #90A4AE
-  sclera-gray: #ECEFF1
-  sclera-white: #FAFAFA
-  iris-green: #06A125
-  iris-light-green: #7ECC80
-  iris-blue: #039BE5
-  iris-light-blue: #68C3EF
-  iris-dark-blue: #283593
-  link-blue: #1263cc
-  retina-red: #F44336
-  macula-pink: #FF9E80
-  pd-grey: #ebeff2
-}
-
-for cl, i in $colors
-  {'.' + cl}
-    color: i !important
-
-for cl, i in $colors
-  {'.bg-' + cl}
-    background-color: i !important
diff --git a/src/.vuepress/theme/styles/config.styl b/src/.vuepress/theme/styles/config.styl
deleted file mode 100644
index 084943caf..000000000
--- a/src/.vuepress/theme/styles/config.styl
+++ /dev/null
@@ -1,6 +0,0 @@
-$contentClass = '.theme-default-content'
-
-// responsive breakpoints
-$MQNarrow ?= 1024px
-$MQMobile ?= 768px
-$MQMobileNarrow ?= 640px
\ No newline at end of file
diff --git a/src/.vuepress/theme/styles/custom-blocks.styl b/src/.vuepress/theme/styles/custom-blocks.styl
deleted file mode 100644
index 88d783a91..000000000
--- a/src/.vuepress/theme/styles/custom-blocks.styl
+++ /dev/null
@@ -1,39 +0,0 @@
-$boxShadow = 0 0 8px 0 rgba(0,0,0,.08), 0 0 15px 0 rgba(0,0,0,.02), 0 0 20px 4px rgba(0,0,0,.06)
-
-.custom-block
-  display: flex
-  // flex-direction: column
-  // gap: 16px
-  border-radius 4px
-  box-shadow: $boxShadow
-  align-items center
-  p
-    padding-bottom: unset
-    padding-left: 24px
-  .custom-block-title
-    font-weight 600
-    margin-bottom -0.4rem
-  &.tip, &.warning, &.danger
-    padding 24px
-    border-left-width .5rem
-    border-left-style solid
-    margin 0 0 40px 0
-  &.tip
-    background-color #f3f5f7
-    border-color #039BE5
-  &.warning
-    background-color #FAFAFA !important
-    border-color darken(#ffe564, 35%) !important
-    color darken(#ffe564, 70%)
-    .custom-block-title
-      color darken(#ffe564, 50%)
-    a
-      color $accentColor
-  &.danger
-    background-color #ffe6e6
-    border-color darken(red, 20%)
-    color darken(red, 70%)
-    .custom-block-title
-      color darken(red, 40%)
-    a
-      color $accentColor
diff --git a/src/.vuepress/theme/styles/fonts.styl b/src/.vuepress/theme/styles/fonts.styl
deleted file mode 100644
index 65e925225..000000000
--- a/src/.vuepress/theme/styles/fonts.styl
+++ /dev/null
@@ -1,55 +0,0 @@
-@font-face
-  font-family 'AtlasGrotesk'
-  font-style normal
-  font-weight 400
-  src url('/fonts/AtlasGrotesk/AtlasGrotesk-Regular.ttf') format('truetype')
-  font-display swap
-
-@font-face
-  font-family 'AtlasGrotesk'
-  font-style normal
-  font-weight 300
-  src url('/fonts/AtlasGrotesk/AtlasGrotesk-Light.ttf') format('truetype')
-  font-display swap
-
-@font-face
-  font-family 'PxGrotesk'
-  font-style normal
-  font-weight 400
-  src url('/fonts/Optimo-PxGrotesk/PxGrotesk-Regular.otf') format('opentype')
-  font-display swap
-
-@font-face {
-  font-family: 'Material Icons';
-  font-style: normal;
-  font-weight: 400;
-  src: local('Material Icons'),
-    local('MaterialIcons-Regular'),
-    url('/fonts/MaterialIconsRound-Regular.woff2') format('woff2');
-  font-display swap;
-}
-
-.material-icons {
-  font-family: 'Material Icons';
-  font-weight: normal;
-  font-style: normal;
-  font-size: 24px;  /* Preferred icon size */
-  display: inline-block;
-  line-height: 1;
-  text-transform: none;
-  letter-spacing: normal;
-  word-wrap: normal;
-  white-space: nowrap;
-  direction: ltr;
-
-  /* Support for all WebKit browsers. */
-  -webkit-font-smoothing: antialiased;
-  /* Support for Safari and Chrome. */
-  text-rendering: optimizeLegibility;
-
-  /* Support for Firefox. */
-  -moz-osx-font-smoothing: grayscale;
-
-  /* Support for IE. */
-  font-feature-settings: 'liga';
-}
\ No newline at end of file
diff --git a/src/.vuepress/theme/styles/index.styl b/src/.vuepress/theme/styles/index.styl
deleted file mode 100644
index 74503509b..000000000
--- a/src/.vuepress/theme/styles/index.styl
+++ /dev/null
@@ -1,175 +0,0 @@
-@require './config'
-@require '/fonts'
-@require './code'
-@require './custom-blocks'
-@require './arrow'
-@require './wrapper'
-@require './toc'
-@require './color'
-@require './typography'
-
-html, body
-  padding 0
-  margin 0
-  background-color #fff
-
-.page
-  padding-left $sidebarWidth
-
-.navbar
-  position fixed
-  z-index 20
-  top 0
-  left 0
-  right 0
-  height $navbarHeight*2
-  background-color #fff
-  box-sizing border-box
-  border-bottom 1px solid $borderColor
-
-.sidebar-mask
-  position fixed
-  z-index 1
-  top 0
-  left 0
-  width 100vw
-  height 100vh
-  display none
-
-.sidebar
-  font-size 16px
-  background-color #fff
-  width 280px
-  position fixed
-  z-index 2
-  margin 0
-  top 60px
-  left 0
-  bottom 0
-  box-sizing border-box
-  border-right 1px solid $borderColor
-  overflow-y auto
-
-{$contentClass}:not(.custom)
-  @extend $wrapper
-  > *:first-child
-    margin-top $navbarHeight*2
-
-  a:hover
-    text-decoration underline
-
-  p.demo
-    padding 1rem 1.5rem
-    border 1px solid #ddd
-    border-radius 4px
-
-  img
-    max-width 100%
-    width 100%
-
-{$contentClass}.custom
-  padding 0
-  margin 0
-
-  img
-    max-width 100%
-
-kbd
-  background #eee
-  border solid 0.15rem #ddd
-  border-bottom solid 0.25rem #ddd
-  border-radius 0.15rem
-  padding 0 0.15em
-
-blockquote
-  font-size 1rem
-  color #999;
-  border-left .2rem solid #dfe2e5
-  margin 1rem 0
-  padding .25rem 0 .25rem 1rem
-
-  & > p
-    margin 0
-
-hr
-  border 0
-  border-top 1px solid $borderColor
-
-table
-  border-collapse collapse
-  margin 1rem 0
-  display: block
-  overflow-x: auto
-
-tr
-  border-top 1px solid #dfe2e5
-
-  &:nth-child(2n)
-    background-color #f6f8fa
-
-th, td
-  border 1px solid #dfe2e5
-  padding .6em 1em
-
-video
-  outline none
-
-.theme-container
-  &.sidebar-open
-    .sidebar-mask
-      display: block
-
-.theme-default-content
-  .v-divider
-    margin 24px 0 !important
-
-.h-full
-  height 100%
-
-.w-full
-  width 100%
-
-.flex
-  display flex
-
-.grid
-  display grid
-
-.grid-rows-1
-  grid-template-rows repeat(1, minmax(0, 1fr))
-.grid-rows-2
-  grid-template-rows repeat(2, minmax(0, 1fr))
-.grid-rows-3
-  grid-template-rows repeat(3, minmax(0, 1fr))
-.grid-cols-1
-  grid-template-columns repeat(1, minmax(0, 1fr))
-.grid-cols-2
-  grid-template-columns repeat(2, minmax(0, 1fr))
-.grid-cols-3
-  grid-template-columns repeat(3, minmax(0, 1fr))
-
-.grid-rows
-  grid-template-rows 2fr 1fr
-
-.gap-1
-  gap 4px
-.gap-2
-  gap 8px
-.gap-3
-  gap 12px
-.gap-4
-  gap 16px
-.gap-5
-  gap 20px
-.gap-6
-  gap 24px
-.gap-7
-  gap 28px
-.gap-8
-  gap 32px
-
-.rounded
-  border-radius 4px
-
-@require 'mobile.styl'
-@require 'vuetify_override'
\ No newline at end of file
diff --git a/src/.vuepress/theme/styles/media-query.styl b/src/.vuepress/theme/styles/media-query.styl
deleted file mode 100644
index 3e3859856..000000000
--- a/src/.vuepress/theme/styles/media-query.styl
+++ /dev/null
@@ -1,72 +0,0 @@
-// sm
-@media (max-width: 640px) {
-  .sm-hidden-down {
-    display: none !important;
-  }
-}
-
-// md
-@media (max-width: 768px) {
-  .md-hidden-down {
-    display: none !important;
-  }
-}
-
-// lg
-@media (max-width: 1024px) {
-  .lg-hidden-down {
-    display: none !important;
-  }
-}
-
-// sm
-@media (min-width: 640px) {
-  .sm-grid-cols-2 {
-    grid-template-columns: repeat(2, minmax(0, 1fr));
-  }
-  .sm-hidden-up {
-    display: none !important;
-  }
-  .sm-pa-5 {
-    padding: 48px !important
-  }
-}
-
-// md
-@media (min-width: 768px) {
-  .md-grid-cols-3 {
-    grid-template-columns: repeat(3, minmax(0, 1fr));
-  }
-  .md-hidden-up {
-    display: none !important;
-  }
-}
-
-// lg
-@media (min-width: 1024px -1px) {
-  .lg-grid-cols-2 {
-    grid-template-columns: repeat(2, minmax(0, 1fr));
-  }
-  .lg-hidden-up {
-    display: none !important;
-  }
-}
-
-// xl
-@media (min-width: 1280px) {
-  .xl-grid-cols-3 {
-    grid-template-columns: repeat(3, minmax(0, 1fr));
-  }
-}
-
-@media (min-width: (1025px))
-  .theme-container.no-sidebar
-    .sidebar
-      transform translateX(-100%)
-    .page
-      padding-left 0
-  .theme-container
-    .sidebar
-      .sidebar-content
-        .sidebar-top
-          display none !important
diff --git a/src/.vuepress/theme/styles/mobile.styl b/src/.vuepress/theme/styles/mobile.styl
deleted file mode 100644
index 43c9a1617..000000000
--- a/src/.vuepress/theme/styles/mobile.styl
+++ /dev/null
@@ -1,33 +0,0 @@
-@require './config'
-
-$mobileSidebarWidth = $sidebarWidth * 0.82
-
-// narrow desktop / iPad
-@media (max-width: 1024px)
-//   .sidebar
-//     font-size 15px
-//     width $mobileSidebarWidth
-//   // .page
-//   //   padding-left unset !important
-
-// // wide mobile
-// @media (max-width: $MQMobile)
-  .sidebar
-    width: 240px
-    padding-top $navbarHeight*2
-    transform translateX(-100%)
-    transition transform .2s ease
-  .page
-    padding-left 0
-  .theme-container
-    &.sidebar-open
-      .sidebar
-        transform translateX(0)
-    &.no-navbar
-      .sidebar
-        padding-top: 0
-
-// narrow mobile
-@media (max-width: 640px)
-  h1
-    font-size 1.9rem
\ No newline at end of file
diff --git a/src/.vuepress/theme/styles/palette.styl b/src/.vuepress/theme/styles/palette.styl
deleted file mode 100644
index 370989909..000000000
--- a/src/.vuepress/theme/styles/palette.styl
+++ /dev/null
@@ -1,2 +0,0 @@
-$accentColor = #1263cc
-$nprogressColor = #1263cc
\ No newline at end of file
diff --git a/src/.vuepress/theme/styles/toc.styl b/src/.vuepress/theme/styles/toc.styl
deleted file mode 100644
index d3e71069b..000000000
--- a/src/.vuepress/theme/styles/toc.styl
+++ /dev/null
@@ -1,3 +0,0 @@
-.table-of-contents
-  .badge
-    vertical-align middle
diff --git a/src/.vuepress/theme/styles/typography.styl b/src/.vuepress/theme/styles/typography.styl
deleted file mode 100644
index d161b8bd0..000000000
--- a/src/.vuepress/theme/styles/typography.styl
+++ /dev/null
@@ -1,137 +0,0 @@
-.application
-  font-family "AtlasGrotesk", sans-serif !important
-  color #2c3e50
-
-body
-  font-family "AtlasGrotesk", sans-serif
-  -webkit-font-smoothing antialiased
-  -moz-osx-font-smoothing grayscale
-  font-size 16px
-  color #2c3e50
-
-h1, h2, h3, h4
-  font-family "PxGrotesk", sans-serif
-  font-weight 600
-
-h5, h6, p, li, .body-2, .caption--1
-  font-family:  "AtlasGrotesk", sans-serif
-  font-weight 400
-
-h1, h2, h3, h4, h5, h6
-  &:hover .header-anchor
-    opacity: 1
-
-h1
-  font-size 34px
-  line-height 42px
-  padding-bottom 24px
-  letter-spacing: 1px
-
-  &.font-size-xl
-    font-size 42px
-
-h2
-  font-size 30px
-  padding-bottom 30px
-
-  &.product-name
-    font-size 22px
-
-// subtitle 1
-h3
-  font-size 24px
-  padding-bottom 24px
-
-// subtitle 2
-h4
-  font-size 18px
-  padding-bottom 16px
-
-ul, ol
-  line-height 24px
-  font-size 16px
-
-// body--1
-p
-  font-size 16px
-  line-height 24px
-  margin-bottom 0 !important
-  padding-bottom 24px
-  &:only-child
-    padding-bottom 0
-
-.leading-text
-  font-size 20px
-
-.body--2
-  font-weight 200
-  font-size 16px
-  color #263238
-
-.caption--1
-  font-weight 400
-  font-size 14px
-
-a.header-anchor
-  font-size 0.85em
-  float left
-  margin-left -0.87em
-  padding-right 0.23em
-  margin-top 0.125em
-  opacity 0
-  &:hover
-    text-decoration none
-
-a
-  font-weight 500
-  text-decoration none
-
-.underline
-  text-decoration underline
-
-p code
-  font-weight 400
-  color $accentColor
-
-button
-  font-family 14px
-  font-weight 600
-
-code, kbd, .line-number
-  font-family source-code-pro, Menlo, Monaco, Consolas, "Courier New", monospace
-
-.v-btn
-  font-size 16px
-  font-weight bold
-
-.page
-  h1
-    margin-top: -60px !important
-    padding-top: 80px !important
-
-  h2, h3
-    margin-top: -60px !important
-    padding-top: 80px !important
-
-  h4,h5,h6
-    margin-top: -60px !important
-    padding-top: 80px !important
-
-.search-box
-  input
-    font-family: "AtlasGrotesk", sans-serif
-
-.sidebar-links
-  .sidebar-link
-    font-family: "AtlasGrotesk", sans-serif
-
-.home
-  h1, h2, h3, h4, h5, h6
-    &:hover .header-anchor
-      opacity: 0
-
-    border-bottom unset
-
-.sidebar-sub-headers.depth--1
-  a.sidebar-link
-    font-size 14px
\ No newline at end of file
diff --git a/src/.vuepress/theme/styles/vuetify_override.styl b/src/.vuepress/theme/styles/vuetify_override.styl
deleted file mode 100644
index ba7eb2f73..000000000
--- a/src/.vuepress/theme/styles/vuetify_override.styl
+++ /dev/null
@@ -1,65 +0,0 @@
-.warning
-  .warning--text
-    color #e7c000 !important
-
-.pl-logo
-  margin: auto
-
-.v-toolbar__extension
-  background-color: #263238
-
-.v-toolbar__content > *:last-child
-  margin auto
-
-.v-btn
-  text-transform unset
-  &.page-nav-btn
-    font-size 14px
-
-.v-card
-  border-radius 6px
-
-.sidebar
-  .v-list__tile
-    height 28px
-
-  .v-list__tile__title
-    font-weight bold
-    font-size 14px
-
-.gap-container .v-toolbar__content
-  gap 8px
-
-.howto-container
-  .v-expansion-panel
-    box-shadow unset
-
-@media only screen and (min-width: 1264px)
-  .container
-    max-width 1000px
-
-@media only screen and (min-width: 1904px)
-  .container
-  .submenu_container
-  .toolbar_container
-    max-width 1000px
-
-@import '~vuetify/src/stylus/app.styl'
-@import './media-query.styl'
-
-.right
-  float: unset !important
-
-ul, ol
-  padding 0 0 24px 20px
-
-code
-  box-shadow: unset
-  font-weight 400
-
-  &:before, &:after
-    content ''
-
-p, li
- code
-  display inline
\ No newline at end of file
diff --git a/src/.vuepress/theme/styles/wrapper.styl b/src/.vuepress/theme/styles/wrapper.styl
deleted file mode 100644
index 4487fd656..000000000
--- a/src/.vuepress/theme/styles/wrapper.styl
+++ /dev/null
@@ -1,9 +0,0 @@
-$wrapper
-  max-width 800px
-  margin 0 auto
-  width 100%
-  // padding 2rem 2.5rem
-  // @media (max-width: $MQNarrow)
-  //   padding 2rem
-  // @media (max-width: $MQMobileNarrow)
-  //   padding 1.5rem
\ No newline at end of file
diff --git a/src/.vuepress/theme/util/index.js b/src/.vuepress/theme/util/index.js
deleted file mode 100644
index cd17c9514..000000000
--- a/src/.vuepress/theme/util/index.js
+++ /dev/null
@@ -1,284 +0,0 @@
-export const hashRE = /#.*$/;
-export const extRE = /\.(md|html)$/;
-export const endingSlashRE = /\/$/;
-export const outboundRE = /^(https?:|mailto:|tel:)/;
-
-export function normalize(path) {
-  return decodeURI(path).replace(hashRE, "").replace(extRE, "");
-}
-
-export function getHash(path) {
-  const match = path.match(hashRE);
-  if (match) {
-    return match[0];
-  }
-}
-
-export function isExternal(path) {
-  return outboundRE.test(path);
-}
-
-export function isMailto(path) {
-  return /^mailto:/.test(path);
-}
-
-export function isTel(path) {
-  return /^tel:/.test(path);
-}
-
-export function ensureExt(path) {
-  if (isExternal(path)) {
-    return path;
-  }
-  const hashMatch = path.match(hashRE);
-  const hash = hashMatch ? hashMatch[0] : "";
-  const normalized = normalize(path);
-
-  if (endingSlashRE.test(normalized)) {
-    return path;
-  }
-  return normalized + ".html" + hash;
-}
-
-export function isActive(route, path) {
-  const routeHash = route.hash;
-  const linkHash = getHash(path);
-  if (linkHash && routeHash !== linkHash) {
-    return false;
-  }
-  const routePath = normalize(route.path);
-  const pagePath = normalize(path);
-  return routePath === pagePath;
-}
-
-export function resolvePage(pages, rawPath, base) {
-  if (isExternal(rawPath)) {
-    return {
-      type: "external",
-      path: rawPath,
-    };
-  }
-  if (base) {
-    rawPath = resolvePath(rawPath, base);
-  }
-  const path = normalize(rawPath);
-  for (let i = 0; i < pages.length; i++) {
-    if (normalize(pages[i].regularPath) === path) {
-      return Object.assign({}, pages[i], {
-        type: "page",
-        path: ensureExt(pages[i].path),
-      });
-    }
-  }
-  // console.error(
-  //   `[vuepress] No matching page found for sidebar item "${rawPath}" and "${path}"`
-  // );
-  return {
-    type: "page",
-    path: path,
-  };
-  //return {};
-}
-
-/*This code is used to resolve a relative path, given a base path. It is used
-to resolve relative paths in URLs in the browser.*/
-function resolvePath(relative, base, append) {
-  const firstChar = relative.charAt(0);
-  if (firstChar === "/") {
-    return relative;
-  }
-
-  if (firstChar === "?" || firstChar === "#") {
-    return base + relative;
-  }
-
-  const stack = base.split("/");
-
-  // remove trailing segment if:
-  // - not appending
-  // - appending to trailing slash (last segment is empty)
-  if (!append || !stack[stack.length - 1]) {
-    stack.pop();
-  }
-
-  // resolve relative path
-  const segments = relative.replace(/^\//, "").split("/");
-  for (let i = 0; i < segments.length; i++) {
-    const segment = segments[i];
-    if (segment === "..") {
-      stack.pop();
-    } else if (segment !== ".") {
-      stack.push(segment);
-    }
-  }
-
-  //if /enrichments/ or /export-formats/ is in the path, remove /neon/ and /invisible/ from the path except if they are at the end of the path
-  if (stack.includes("enrichments") || stack.includes("export-formats")) {
-    if (stack.includes("neon") && stack.indexOf("neon") !== stack.length - 1) {
-      stack.splice(stack.indexOf("neon"), 1);
-    }
-    if (
-      stack.includes("invisible") &&
-      stack.indexOf("invisible") !== stack.length - 1
-    ) {
-      stack.splice(stack.indexOf("invisible"), 1);
-    }
-    stack.pop();
-  }
-
-  // ensure leading slash
-  if (stack[0] !== "") {
-    stack.unshift("");
-  }
-
-  return stack.join("/");
-}
-
-/* resolveSidebarItems returns a list of items that should be shown in the sidebar for a given page
-/**
-/* @param { Page } page
-/* @param { string } regularPath
-/* @param { SiteData } site
-/* @param { string } localePath
-/* @returns { SidebarGroup }
-*/
-export function resolveSidebarItems(page, regularPath, site, localePath) {
-  const { pages, themeConfig } = site;
-
-  const localeConfig =
-    localePath && themeConfig.locales
-      ? themeConfig.locales[localePath] || themeConfig
-      : themeConfig;
-
-  const pageSidebarConfig =
-    page.frontmatter.sidebar || localeConfig.sidebar || themeConfig.sidebar;
-  if (pageSidebarConfig === "auto") {
-    return resolveHeaders(page);
-  }
-
-  const sidebarConfig = localeConfig.sidebar || themeConfig.sidebar;
-  if (!sidebarConfig) {
-    return [];
-  } else {
-    const { base, config } = resolveMatchingConfig(regularPath, sidebarConfig);
-    return config ? config.map((item) => resolveItem(item, pages, base)) : [];
-  }
-}
-
-/**
- * @param { Page } page
- * @returns { SidebarGroup }
- */
-function resolveHeaders(page) {
-  // group headers into an array of sections
-  const headers = groupHeaders(page.headers || []);
-  // return the first section as a group with no path
-  return [
-    {
-      type: "group",
-      collapsable: false,
-      title: page.title,
-      path: null,
-      children: headers.map((h) => ({
-        // return the next section as a group with a path
-        type: "auto",
-        title: h.title,
-        basePath: page.path,
-        path: page.path + "#" + h.slug,
-        children: h.children || [],
-      })),
-    },
-  ];
-}
-
-// This code groups headers under h2s
-export function groupHeaders(headers) {
-  // group h3s under h2
-  headers = headers.map((h) => Object.assign({}, h));
-  let lastH2;
-  headers.forEach((h) => {
-    if (h.level === 2) {
-      lastH2 = h;
-    } else if (lastH2) {
-      (lastH2.children || (lastH2.children = [])).push(h);
-    }
-  });
-  return headers.filter((h) => h.level === 2);
-}
-
-/* This function resolves a nav link item. This means that it checks if the link item has any sublinks. 
-If it does, it sets the link item’s type to 'links'. If it doesn’t, it sets the link item’s type to 'link'.*/
-export function resolveNavLinkItem(linkItem) {
-  return Object.assign(linkItem, {
-    type: linkItem.items && linkItem.items.length ? "links" : "link",
-  });
-}
-
-/* This code takes a regular path and a config object, and returns a
-matching config object.
-/**
-/* @param { Route } route
-/* @param { Array<string|string[]> | Array<SidebarGroup> | [link: string]: SidebarConfig } config
-/* @returns { base: string, config: SidebarConfig }
-*/
-export function resolveMatchingConfig(regularPath, config) {
-  if (Array.isArray(config)) {
-    return {
-      base: "/",
-      config: config,
-    };
-  }
-  for (const base in config) {
-    if (ensureEndingSlash(regularPath).indexOf(encodeURI(base)) === 0) {
-      return {
-        base,
-        config: config[base],
-      };
-    }
-  }
-  return {};
-}
-
-/* This function adds a trailing slash to the end of a path if the path does not already end with a trailing slash.*/
-function ensureEndingSlash(path) {
-  return /(\.html|\/)$/.test(path) ? path : path + "/";
-}
-
-/* This code resolves the nested sidebar items and returns the object with the following */
-/**
- * Resolve page object by page path.
- *
- * @param {Array} pages
- * @param {string} path
- * @param {string} base
- * @returns {Object}
- */
-function resolveItem(item, pages, base, groupDepth = 1) {
-  if (typeof item === "string") {
-    return resolvePage(pages, item, base);
-  } else if (Array.isArray(item)) {
-    return Object.assign(resolvePage(pages, item[0], base), {
-      title: item[1],
-    });
-  } else {
-    if (groupDepth > 3) {
-      console.error("[vuepress] detected a too deep nested sidebar group.");
-    }
-    const children = item.children || [];
-    if (children.length === 0 && item.path) {
-      return Object.assign(resolvePage(pages, item.path, base), {
-        title: item.title,
-      });
-    }
-    return {
-      type: "group",
-      path: item.path,
-      title: item.title,
-      sidebarDepth: item.sidebarDepth,
-      children: children.map((child) =>
-        resolveItem(child, pages, base, groupDepth + 1)
-      ),
-      collapsable: item.collapsable !== false,
-    };
-  }
-}
diff --git a/src/README.md b/src/README.md
deleted file mode 100644
index 370cbdab6..000000000
--- a/src/README.md
+++ /dev/null
@@ -1,61 +0,0 @@
----
-title: "Pupil Labs Documentation"
-home: true
-subtitle: "Official docs for users getting started with their Pupil Labs eye tracking glasses and for developers working on eye tracking applications and integrations."
-top_links:
-  [
-    {
-      title: "Neon and Pupil Cloud",
-      link: "/neon/",
-      src: "neon/home_neon.jpg",
-      description: "Learn how to use Neon and collect real-world data. Connect to Pupil Cloud, manage your data, analyze, and take your research to the next level.",
-      alt: "Neon",
-      btn_text: "Enter documentation",
-    },
-    {
-      title: "Pupil Invisible and Pupil Cloud",
-      link: "/invisible/",
-      src: "invisible/pi_glasses.jpg",
-      description: "Learn how to setup Pupil Invisible eye tracking glasses and collect real world data. Connect to Pupil Cloud, manage your data, analyze, and take your research to the next level.",
-      alt: "Pupil Invisible Companion",
-      btn_text: "Enter documentation",
-    },
-    {
-      title: "Pupil Core",
-      link: "/core/",
-      src: "core/imgs/core_headset.jpg",
-      description: "Learn how to setup Pupil Core eye tracking headset and collect data with Pupil Capture. Use Pupil Player to explore your data in greater detail.",
-      alt: "Pupil Core headset",
-      btn_text: "Enter documentation",
-    },
-  ]
-bottom_links:
-  [
-    {
-      title: "Pupil VR/AR",
-      link: "/vr-ar/",
-      description: "Learn how to setup Pupil Labs VR/AR add-ons and start developing your VR/AR research, applications, and integrations.",
-      alt: "Pupil VR/AR",
-      btn_text: "Enter documentation",
-    },
-    {
-      title: "Discord",
-      href: "https://pupil-labs.com/chat",
-      description: "Chat with the Pupil Labs team and community on discord.",
-      alt: "Pupil Labs Discord channel",
-      btn_text: "Chat now",
-      logo: "discord.svg",
-    },
-  ]
----
-
-::: slot articles
-
-## What is Eye Tracking?
-
-How does an eye tracker work? What applications are there for eye tracking? Why do we move our eyes in the first place? Check out our intro article to orient yourself in the world of eye tracking. 
-
-<div>
-  <v-btn round dark href="https://pupil-labs.com/blog/news/what-is-eye-tracking/" class="bg-link-blue ma-0 elevation-0"> Read more</v-btn>
-</div>
-:::
diff --git a/src/alpha-lab/README.md b/src/alpha-lab/README.md
deleted file mode 100644
index 939c20ed2..000000000
--- a/src/alpha-lab/README.md
+++ /dev/null
@@ -1,138 +0,0 @@
----
-description: Welcome to Alpha Lab!
-permalink: /alpha-lab/
----
-
-# Welcome to Alpha Lab!
-
-<div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="banner.img_name" 
-  width="100%" 
-  :alt="banner.alt_text"
-  :title="banner.alt_text" />
-</div>
-
-Pupil Labs is made up of people who are curious by nature. We are researchers, designers, toolmakers, and professional tinkerers. We enjoy building quick prototypes and demos to explore our curiosities. We built Alpha Lab so that we can have a centralized place to collect the results of our explorations and to share it with the world.
-
-Alpha Lab is not a place for official product documentation. Everything you find here should be considered a work in progress, and may even be a bit rough around the edges. That is the nature of exploration!
-
-We encourage you to read through the results and go further - play around, build from the ideas here, hack away!
-
-## Sharing is caring
-
-Some of the prototypes and demos you see here came from our own home-grown curiosities. Others were inspired by questions from you - members of our community - via discussion on [discord](https://pupil-labs.com/chat/).
-
-If you have an idea that you want us to explore [let us know](https://feedback.pupil-labs.com/). It could be a demo of using our existing tools, or an out of the box idea that combines some new state of the art deep learning pipeline with eye tracking.
-
-## Show and tell
-
-Enough talk; let’s dive in.
-
-<div>
-    <div class="grid grid-cols-1 sm-grid-cols-2 md-grid-cols-3 lg-grid-cols-2 xl-grid-cols-3 gap-8">
-      <div v-for="(item, index) in showTell">
-        <router-link
-          :key="index"
-          :to="item.to"
-        >
-          <v-img
-            class="rounded"
-            aspect-ratio="1.4"
-            style="margin-bottom:32px;"
-            :position="item.position"
-            :src="require(`../media/alpha-lab/${item.img}`)"
-          />
-          <p class="caption--1 font-weight-bold pb-3">{{ item.title }}</p>
-        </router-link>
-        <p class="caption--1">
-          {{ item.text }}
-        </p>
-      </div>
-    </div>
-</div>
-
-<script>
-export default {
-  methods:{
-    loadRandomImage() {
-      // Set the banner text from a JSON file
-      var bannerText = require("../media/alpha-lab/banners/banners.json");
-      // Get the current month
-      const month = new Date().getMonth();
-      // If it's December, change the banner to one with a Christmas theme
-      if (month === 11) {
-        return {
-          img_name: require("../media/alpha-lab/banners/xmas.png"),
-          alt_text: bannerText.xmas,
-        };
-      } else {
-        // If it's not December, pick a random banner from the 7 available banners
-        const numberOfImages = 7;
-        const randomImageNumber = [Math.trunc(Math.random() * numberOfImages)+1];
-        const randomImage = `img${randomImageNumber.toString()}.png`;
-        const randomImageAltText = "img"+randomImageNumber.toString();
-        return {
-          img_name: require("../media/alpha-lab/banners/"+randomImage),
-          alt_text: bannerText[randomImageAltText],
-        };
-      }
-    },
-  },
-  data() {
-    return {
-      showTell: [
-        {
-          title: "AOIs",
-          text: "Here we demonstrate how to make areas of interest using data downloaded from Pupil Cloud’s Reference Image Mapper.",
-          to: "/alpha-lab/gaze-metrics-in-aois/",
-          img: "reference-aoi.jpg",
-        },
-        {
-          title: "Netflix and fixate",
-          text: "Here we show you how you can use Pupil Cloud’s Reference Image Mapper to map gaze onto dynamic on-screen content - like a video.",
-          to: "/alpha-lab/map-your-gaze-to-a-2d-screen/",
-          img: "netflix-fixation.png",
-          position: "38%"
-        },
-        {
-          title: "RIM Room",
-          text: "We pushed the limits of markerless mapping with Pupil Cloud’s Reference Image Mapper - scanning an entire apartment.",
-          to: "/alpha-lab/multiple-rim/",
-          img: "desk-heatmap.jpeg",
-        },
-        {
-          title: "Look at my hand!",
-          text: "Use detectron's densepose AI to segment and know at which part of a body a person is looking.",
-          to: "/alpha-lab/dense-pose/",
-          img: "densepose.png",
-        },
-        {
-          title: "Follow my path",
-          text: "Discover how to generate static and dynamic scanpaths with Pupil Cloud's Reference Image Mapper.",
-          to: "/alpha-lab/scanpath-rim/",
-          img: "Steven_scanpath.jpeg",
-        },
-        {
-          title: "NeRFing out",
-          text: "Create 3D Models of your environment using the reference image mapper and NerfStudio",
-          to: "/alpha-lab/nerfs",
-          img: "nerf.png",
-        },
-        {
-          title: "Neon and mobile apps!",
-          text: "Use Neon and existing Alpha Lab content to capture and characterise viewing behaviour on mobile phone screens.",
-          to: "/alpha-lab/phone-screens",
-          img: "phone.png",
-        },
-        {
-          title: "Gaze-contingent assistant",
-          text: "Build gaze-contingent assistive applications with Neon!",
-          to: "/alpha-lab/gaze-contingency-assistive",
-          img: "gaze-cont-main-page.png",
-        },
-      ],
-      banner: this.loadRandomImage(),
-    };
-  },
-}
-</script>
diff --git a/src/alpha-lab/gaze-metrics-in-aois/README.ipynb b/src/alpha-lab/gaze-metrics-in-aois/README.ipynb
deleted file mode 100644
index 3f83eacf7..000000000
--- a/src/alpha-lab/gaze-metrics-in-aois/README.ipynb
+++ /dev/null
@@ -1,654 +0,0 @@
-{
-      "cells": [
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "035c4370",
-                  "metadata": {},
-                  "source": [
-                        "---\n",
-                        "description: Guide on defining AoIs and calculating gaze metrics\n",
-                        "isNotebook: true\n",
-                        "permalink: /alpha-lab/gaze-metrics-in-aois/\n",
-                        "tags: [Pupil Invisible, Neon, Cloud]\n",
-                        "---\n",
-                        "\n",
-                        "# Define AOIs and Calculate Gaze Metrics\n",
-                        "\n",
-                        "<TagLinks />\n",
-                        "\n",
-                        "After mapping gaze to the environment, e.g. by using the [Reference Image Mapper](/enrichments/reference-image-mapper), it is a common goal to compare gaze behavior on different objects of interest within the environment. An easy way to facilitate this using the Reference Image Mapper is to define areas of interest (AOIs), also known as regions of interest (ROIs), in the reference image, and to compare them with various gaze metrics like e.g. dwell time. \n",
-                        "\n",
-                        "In this guide, we will show you how to mark AOIs on a reference image, how to label which AOI a fixation was made on, and how to aggregate metrics from fixation data inside these AOIs.\n",
-                        "\n",
-                        "As an example we will use the recordings and enrichment of the art gallery study available in the [demo workspace](https://cloud.pupil-labs.com/workspace/78cddeee-772e-4e54-9963-1cc2f62825f9/project/cdfde655-3c8a-45c5-b6e2-5d5754d7a4f0/edit). We will address questions like \"How many visitors looked at each painting?\", \"How soon after arriving did visitors look at each painting?\", and \"How long did visitors look at each painting?\"."
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "7302ffb0",
-                  "metadata": {},
-                  "source": [
-                        "## Dependencies of this Guide\n",
-                        "\n",
-                        "You can find all code from this guide as well as the used example data [here](https://github.com/pupil-labs/pupil-docs/tree/master/src/alpha-lab/gaze-metrics-in-aois/). The example data originates from the Reference Image Mapper enrichment called `multiple_paintings_standing` located in the demo workspace [here](https://cloud.pupil-labs.com/workspace/78cddeee-772e-4e54-9963-1cc2f62825f9/project/cdfde655-3c8a-45c5-b6e2-5d5754d7a4f0/enrich?search=multiple_paintings_standing). \n",
-                        "\n",
-                        "To execute it you need to have the following libraries installed:\n",
-                        "\n",
-                        "```pip install matplotlib pandas opencv-python seaborn```"
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "f5bfc47e",
-                  "metadata": {},
-                  "source": [
-                        "## Define AOIs in the Reference Image\n",
-                        "\n",
-                        "The reference image `reference_image.jpeg` is located inside the enrichment folder. \n",
-                        "\n",
-                        "An easy way to define AOIs in the image is to use the `cv2.selectROIs` method from [OpenCV](https://docs.opencv.org/3.4/d7/dfc/group__highgui.html#ga0f11fad74a6432b8055fb21621a0f893).\n",
-                        "When executing this method, a window with the reference image will appear.\n",
-                        "Mark the AOIs by dragging rectangles over the areas you want your AOIs to cover. Hit the space key after each AOI and once you are done close the selection with the escape key.\n"
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": null,
-                  "id": "866c2f0c",
-                  "metadata": {},
-                  "outputs": [],
-                  "source": [
-                        "import cv2\n",
-                        "\n",
-                        "# load the reference image\n",
-                        "reference_image_bgr = cv2.imread(\"data/reference_image.jpeg\")\n",
-                        "reference_image = cv2.cvtColor(reference_image_bgr, cv2.COLOR_BGR2RGB)\n",
-                        "\n",
-                        "# resize the image before labelling AOIs makes the image stay in the screen boundaries\n",
-                        "scaling_factor = 0.25\n",
-                        "scaled_image = reference_image_bgr.copy()\n",
-                        "scaled_image = cv2.resize(\n",
-                        "    scaled_image, dsize=None, fx=scaling_factor, fy=scaling_factor\n",
-                        ")\n",
-                        "\n",
-                        "# mark the AOIs\n",
-                        "scaled_aois = cv2.selectROIs(\"AOI Annotation\", scaled_image)\n",
-                        "cv2.destroyAllWindows()\n",
-                        "\n",
-                        "# scale back the position of AOIs\n",
-                        "aois = scaled_aois / scaling_factor\n",
-                        "print(scaled_aois)"
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "844b51be",
-                  "metadata": {},
-                  "source": [
-                        "If you want to use the same AOIs as this guide is using, you can uncomment the following code rather than defining your own AOIs."
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 2,
-                  "id": "8a450ac4",
-                  "metadata": {},
-                  "outputs": [],
-                  "source": [
-                        "import numpy as np\n",
-                        "\n",
-                        "# aois = np.array(\n",
-                        "#     [[ 512.,  136.,  588.,  572.],\n",
-                        "#     [1448.,  700.,  392.,  456.],\n",
-                        "#     [1872.,  300.,  652.,  864.],\n",
-                        "#     [2584.,  788.,  456.,  576.],\n",
-                        "#     [3044.,  928.,  452.,  416.],\n",
-                        "#     [3212.,  232.,  504.,  492.],\n",
-                        "#     [ 892., 1256., 1636.,  880.],\n",
-                        "#     [2628., 1388.,  844.,  648.],\n",
-                        "#     [ 696., 2492.,  428.,  476.],\n",
-                        "#     [1232., 2304.,  364.,  408.],\n",
-                        "#     [1980., 2280.,  556.,  700.],\n",
-                        "#     [2576., 2064.,  856.,  936.]]\n",
-                        "# )"
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "85087668",
-                  "metadata": {},
-                  "source": [
-                        "## Overlaying Areas of Interest on the Reference Image\n",
-                        "Now, we visually check whether the AOIs we defined match up with our reference image. We define a `plot_color_patches` function, which we will use throughout the rest of this guide."
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 3,
-                  "id": "65dbdca7",
-                  "metadata": {},
-                  "outputs": [],
-                  "source": [
-                        "import matplotlib as mpl\n",
-                        "import matplotlib.pyplot as plt\n",
-                        "from matplotlib import patches\n",
-                        "import seaborn as sns\n",
-                        "sns.set_context(\"talk\")\n",
-                        "import pandas as pd\n",
-                        "import numpy as np\n",
-                        "\n",
-                        "\n",
-                        "def plot_color_patches(\n",
-                        "    image,\n",
-                        "    aoi_positions,\n",
-                        "    aoi_values,\n",
-                        "    ax,\n",
-                        "    alpha=0.3,\n",
-                        "    colorbar=False,\n",
-                        "    unit_label=\"\"\n",
-                        "):\n",
-                        "    ax.imshow(image)\n",
-                        "    ax.axis(\"off\")\n",
-                        "\n",
-                        "    # normalize patch values\n",
-                        "    aoi_values_normed = aoi_values.astype(np.float32)\n",
-                        "    aoi_values_normed -= aoi_values_normed.min()\n",
-                        "    aoi_values_normed /= aoi_values_normed.max()\n",
-                        "\n",
-                        "    colors = mpl.cm.get_cmap(\"viridis\")\n",
-                        "\n",
-                        "    # for patch_idx, (aoi, value) in enumerate(zip(patch_position, patch_values_normed)):\n",
-                        "    for aoi_id, aoi_val in aoi_values_normed.iteritems():\n",
-                        "        aoi = aoi_positions[aoi_id]\n",
-                        "        ax.add_patch(\n",
-                        "            patches.Rectangle(\n",
-                        "                aoi,\n",
-                        "                *aoi[2:],\n",
-                        "                alpha=alpha,\n",
-                        "                facecolor=colors(aoi_val),\n",
-                        "                edgecolor=colors(aoi_val),\n",
-                        "                linewidth=5\n",
-                        "            )\n",
-                        "        )\n",
-                        "        ax.text(aoi[0] + 20, aoi[1] + 120, f\"{aoi_id}\", color=\"black\")\n",
-                        "    \n",
-                        "    if colorbar:\n",
-                        "        norm = mpl.colors.Normalize(vmin=aoi_values.min(), vmax=aoi_values.max())\n",
-                        "        cb = plt.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=colors), ax=ax)\n",
-                        "        cb.set_label(unit_label)"
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 4,
-                  "id": "b369cca5",
-                  "metadata": {},
-                  "outputs": [
-                        {
-                              "data": {
-                                    "image/png": 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",
-                                    "text/plain": [
-                                          "<Figure size 720x504 with 1 Axes>"
-                                    ]
-                              },
-                              "metadata": {
-                                    "needs_background": "light"
-                              },
-                              "output_type": "display_data"
-                        }
-                  ],
-                  "source": [
-                        "plt.figure(figsize=(10, 7))\n",
-                        "\n",
-                        "aoi_ids = pd.Series(np.arange(len(aois)))\n",
-                        "plot_color_patches(reference_image, aois, aoi_ids, plt.gca())"
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "128f49f2",
-                  "metadata": {},
-                  "source": [
-                        "## Map Fixations to AOIs\n",
-                        "\n",
-                        "Next up, we want to match the fixation coordinates to the AOIs. This is comparable to asking for every x/y coordinate pair that defines a fixation if that pair is inside any of the rectangles."
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 82,
-                  "id": "c25887f9",
-                  "metadata": {
-                        "scrolled": false
-                  },
-                  "outputs": [
-                        {
-                              "data": {
-                                    "text/html": [
-                                          "<div class='grid'><table border=\"1\" class=\"dataframe\">\n",
-                                          "  <thead>\n",
-                                          "    <tr style=\"text-align: right;\">\n",
-                                          "      <th></th>\n",
-                                          "      <th>section id</th>\n",
-                                          "      <th>recording id</th>\n",
-                                          "      <th>fixation id</th>\n",
-                                          "      <th>start timestamp [ns]</th>\n",
-                                          "      <th>end timestamp [ns]</th>\n",
-                                          "      <th>duration [ms]</th>\n",
-                                          "      <th>fixation detected in reference image</th>\n",
-                                          "      <th>fixation x [px]</th>\n",
-                                          "      <th>fixation y [px]</th>\n",
-                                          "      <th>AOI</th>\n",
-                                          "    </tr>\n",
-                                          "  </thead>\n",
-                                          "  <tbody>\n",
-                                          "    <tr>\n",
-                                          "      <th>0</th>\n",
-                                          "      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>\n",
-                                          "      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>\n",
-                                          "      <td>248</td>\n",
-                                          "      <td>1636035560036503914</td>\n",
-                                          "      <td>1636035560236515914</td>\n",
-                                          "      <td>200</td>\n",
-                                          "      <td>True</td>\n",
-                                          "      <td>2419.0</td>\n",
-                                          "      <td>2138.0</td>\n",
-                                          "      <td>None</td>\n",
-                                          "    </tr>\n",
-                                          "    <tr>\n",
-                                          "      <th>1</th>\n",
-                                          "      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>\n",
-                                          "      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>\n",
-                                          "      <td>249</td>\n",
-                                          "      <td>1636035560256651914</td>\n",
-                                          "      <td>1636035560480505914</td>\n",
-                                          "      <td>223</td>\n",
-                                          "      <td>True</td>\n",
-                                          "      <td>2224.0</td>\n",
-                                          "      <td>1717.0</td>\n",
-                                          "      <td>2</td>\n",
-                                          "    </tr>\n",
-                                          "    <tr>\n",
-                                          "      <th>2</th>\n",
-                                          "      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>\n",
-                                          "      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>\n",
-                                          "      <td>250</td>\n",
-                                          "      <td>1636035560500491914</td>\n",
-                                          "      <td>1636035560740669914</td>\n",
-                                          "      <td>240</td>\n",
-                                          "      <td>True</td>\n",
-                                          "      <td>2427.0</td>\n",
-                                          "      <td>1559.0</td>\n",
-                                          "      <td>2</td>\n",
-                                          "    </tr>\n",
-                                          "    <tr>\n",
-                                          "      <th>3</th>\n",
-                                          "      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>\n",
-                                          "      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>\n",
-                                          "      <td>251</td>\n",
-                                          "      <td>1636035560776494914</td>\n",
-                                          "      <td>1636035560972502914</td>\n",
-                                          "      <td>196</td>\n",
-                                          "      <td>True</td>\n",
-                                          "      <td>1935.0</td>\n",
-                                          "      <td>1119.0</td>\n",
-                                          "      <td>None</td>\n",
-                                          "    </tr>\n",
-                                          "    <tr>\n",
-                                          "      <th>4</th>\n",
-                                          "      <td>3cd54e6f-f12e-468c-9a7b-6afffd5f0379</td>\n",
-                                          "      <td>54a0deee-23dd-48f4-806e-6fdb519d6a7c</td>\n",
-                                          "      <td>252</td>\n",
-                                          "      <td>1636035561008557914</td>\n",
-                                          "      <td>1636035561168510914</td>\n",
-                                          "      <td>159</td>\n",
-                                          "      <td>True</td>\n",
-                                          "      <td>2828.0</td>\n",
-                                          "      <td>1668.0</td>\n",
-                                          "      <td>None</td>\n",
-                                          "    </tr>\n",
-                                          "  </tbody>\n",
-                                          "</table></div>"
-                                    ],
-                                    "text/plain": [
-                                          "<IPython.core.display.HTML object>"
-                                    ]
-                              },
-                              "execution_count": 82,
-                              "metadata": {},
-                              "output_type": "execute_result"
-                        }
-                  ],
-                  "source": [
-                        "import pandas as pd\n",
-                        "from IPython.display import HTML\n",
-                        "\n",
-                        "fixations = pd.read_csv(\"data/fixations.csv\")\n",
-                        "# filter for fixations that are in the reference image\n",
-                        "fixations = fixations[fixations[\"fixation detected in reference image\"]]\n",
-                        "\n",
-                        "fixations[\"AOI\"] = None\n",
-                        "\n",
-                        "def check_in_rect(fixation_data, rectangle_coordinates):\n",
-                        "    rect_x, rect_y, rect_width, rect_height = rectangle_coordinates\n",
-                        "    x_hit = fixation_data[\"fixation x [px]\"].between(rect_x, rect_x + rect_width)\n",
-                        "    y_hit = fixation_data[\"fixation y [px]\"].between(rect_y, rect_y + rect_height)\n",
-                        "    return x_hit & y_hit\n",
-                        "\n",
-                        "for aoi_id, aoi in enumerate(aois):\n",
-                        "    fixations.loc[check_in_rect(fixations, aoi), \"AOI\"] = aoi_id\n",
-                        "\n",
-                        "fixations.head()\n",
-                        "head = fixations.head()\n",
-                        "html = head.to_html()\n",
-                        "HTML(\"<div class='grid'>\" + html + \"</div>\")"
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "c6df0c9d",
-                  "metadata": {},
-                  "source": [
-                        "You can now see the new column \"AOI\". This column indicates whether gaze fell inside a given AOI."
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "ce483ef0",
-                  "metadata": {},
-                  "source": [
-                        "## Aggregating Fixation Metrics Inside AOIs\n",
-                        "\n",
-                        "Using the defined AOIs and the mapped fixation data we can now calculate various metrics to compare gaze behaviour on the AOIs."
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "23ec6e0f",
-                  "metadata": {},
-                  "source": [
-                        "### AOI Hit Rate\n",
-                        "\n",
-                        "The Hit Rate of an AOI is defined as the proportion of subjects that looked at the AOI at least once. \n",
-                        "A Hit Rate of 100% means, every subject we recorded looked at the AOI, a Hit Rate of 50% indicates that only every second subject looked at the AOI, etc."
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 6,
-                  "id": "19b0a0d4",
-                  "metadata": {},
-                  "outputs": [
-                        {
-                              "data": {
-                                    "text/plain": [
-                                          "AOI\n",
-                                          "0    100.0\n",
-                                          "1     60.0\n",
-                                          "2    100.0\n",
-                                          "3     40.0\n",
-                                          "4      0.0\n",
-                                          "dtype: float64"
-                                    ]
-                              },
-                              "execution_count": 6,
-                              "metadata": {},
-                              "output_type": "execute_result"
-                        }
-                  ],
-                  "source": [
-                        "hits = fixations.groupby([\"recording id\", \"AOI\"]).size() > 0\n",
-                        "hit_rate = hits.groupby(\"AOI\").sum() / fixations[\"recording id\"].nunique() * 100\n",
-                        "\n",
-                        "# AOIs that have never been gazed at do not show up in the fixations data\n",
-                        "# so we need to set them to 0 manually\n",
-                        "for aoi_id in range(len(aois)):\n",
-                        "    if not aoi_id in hit_rate.index:\n",
-                        "        hit_rate.loc[aoi_id] = 0\n",
-                        "\n",
-                        "hit_rate.sort_index(inplace=True)\n",
-                        "hit_rate.head()"
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 7,
-                  "id": "19da4dc7",
-                  "metadata": {},
-                  "outputs": [
-                        {
-                              "data": {
-                                    "image/png": 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plProSbDhcuUqn75cf75/zQmTq5Ag+3AV15mrlH3cnf4nGdsUaTFuc+d8pg7reITu2prBrZTIgnSr7ZB5exQQl439Soa9EP3scjXb1bCv/d4rbZrsmXJ/Ce11hUhPrnRtaqc82ReUd/o6hDau6jrTqZM0v9/DcSOC13yGrz0U8E8YzLXQOFdDIUoKCgoKCgoKCq4BTLTkEz2iB/zr92G4w5xinfihQkN2d1xzQ1olyOcTcZLifVxlHIeM2F7Nwq6FPqp/mbvKof6Ty0y+Zw/BBlRJ4WqlZ4C0NwzF7B9TcG8KThJxoeKy7Ga/CQbZ4XFOHRvvXPdkhI0j6LFbbtyeI3fXkS7jSh6fhO5z+KvoSZneJSgcd7GdKo7ncvXQZfPdd+4qbR7q63HIlxxTaq3x+XCCvcqEYR0ZutuoI9xFIQhvr4JIbSspU06uXto3t6m5HgqIeylhkh6Lx4hx8TjqCknEaFZnWD/NK7owxW/D7jGNipdDPU4RKOM+Lx+nDK51fqwjTzpXxqeHJ49RUnAVFKKkoKCgoKCgoOCaoFdRAHHnUpneOd1nfPZlAxGwk1L4EPkSiQQ6Qywf0LRxmwwREXbOdZ+FzuAZEyRT8zlkWB8qMxx0QB/rpFdqaDIcw8fJ8QyOIYHIoq+QjL5kNGdWZq8GSLES9thoV1GFhJcUryQRGCYeV/q4JqHckINSQrBXQ59RJ5UTeteP/q+/jib7PI6XcjWS5KpEylVwlXtkqtyT9HMZxsGVL68Q778hYzm8VWU3683jzOM1y8YSCdLkbrZ7+grtd5zoWOUBvbZrd7z9/GMjkp6dpIkzpOxAuWtOqLPr5pOe+xRXZqr8/mUI5UyU1WkkaLwEIvH1UG2UGCVPF2V1CwoKCgoKCgquAXZ2ooGgy9/dt5z6sb93FzzX/EfzLgWdjBXGjaeeSUTAVLu7VabTA3fzyfiCXnlxSFUwNODjfnsX5yH/3P3taWbgApCXTcRNxy6kbB7DvsNIsyCtaVd7RCQFomlE6DAkFva97sP4MvUxL4KbTvjrjcLcAO3b6EmiISmSEyWQrdTob38a5asqPS47/rjlBvfwxLmn2n56jq7Sn2juS9K10L2mmDCxxf1qi93nfUwOPC5BNDnujJjQiTL7xjcYT9bCVYY0TYwOPmWDy+/XJ2lrP5mWq7pyGBHM4NneDYhccP1QFCUFBQUFBQUFBdcAkzvm2md8mMKhHfvc4O+rj3db49H8B38XlCS57owM/70G/54yyaDY4WMSg5EM8dyw74cqIqiAl77d8WrIeAC7Z8mN/uHxkXpkYj55tW6cXdDTpBaQTDjQb8f3e9mXkU37iYXgQtMrDoZxTLLMHjtNGLo0y4MLkLvkpMmldix5kNFQJtTp23r8OexD585wQCFyWRtPUu+qAUanjmlHXu62vduvp/cXMfQpn23/XnbrTikkLhv7OIbJVVUTsVI/I93fz9g1aS+RIkMlRzw7GSNkd7y7hFL3dTGOD3Qp+meju3ayL0VxPy/v/URbWauS8V9PCb643jxVFKKkoKCgoKCgoODaYGjMd4RHPKtMGycwJFrGQRGndmc1M4yEEVky2rV9HBXEsEzWTrSZBkZxvkur/SwlU7IEggSsxvdxE15NalIwqvsVJQfHl/FCj6GWiGejUSkkL4E0p+zsXveeQ2Mbfs5JEIGUgHWK28KSZ1npl3k6+GuomytSEkkCwWUHUtriQ+5Bl2Hq3pwex+Neg/31Ut3HIVqmn6HpsSeyZF+A1bSu6ofPUmIihLYLTDoew5WIiGyOU+cOkSnjdrvrOVFlXHbq/bCvpFrrPx9qbxrZ2HacnHoScrx2YwKki/uCkqeyvqriKJ+fl+iANpiXu7SdVwNXnEOeKgpRUlBQUFBQUFBw7ZCTJdnh7Pf9vl3RIR5jR3mn/+myuTz9rc+9f4cYQEA9/H+/+3189/f+/3jh4w+5feuIL/4t7+Hf+obfzPJoxg4Rk0aaMUKBvOmP5VmAUuiPVDP9mxMlacc3iFmmCIjDRvZYnvHK/fcMAsMOznZBHUakFlMreTmGJM547H3ru+qX/r5JRmKexaYfze78VXNVR68GkCz472OKOq6EXXJhP6Gy73odIl+m3h9CrjrY269m1/YxFCuBXAlMnyIDZk/ZVTBMERFjRcTjznGK2PHe700LnJc/pG7J/00zSs9fKLKr5LjSNYm8SE/s9sTJPrJtul29VAWyj0BK/UbKEroxPF1JSYlR8nRRiJKCgoKCgoKCgmuA5ALR7+JD2g1N3hEiEhwkHnNHPxm+0lkKQ0WCiIx+8icjeXKkvQE/VUCEb/7zP8S3ffeP81v+xV/D1331b+ADH3qFb/vuH+fn3/8i3/wn/lWMmcjpkdmNyVNBJQZTHJMgg2rDE3mgzenhjZQR6XNuQY0rqgYFS0bgiA5HkWiIniAZGtY7Ax9hR60gweUmpAOOMxXoA7Fmk2b3Xgj1lT57TU6I9K436dyQPKLrsw8cOz3mx3WJebVtHCr/OG3tM4inPu+UB4IYZDrjzLAxl11/24UAkUEQ3nhwj+E9RexdRiAdci2ZfB13nRGMVyWZeqpn+vnLXWsOtRm+jybGlMvr+mHupSvCs5TubRcfccnODckb7/1eokUUbPxuOeyU89ogPLklPfDTRCFKCgoKCgoKCgquJdKedZ9xpLMT9kjyrxaPIZjyySAenO/q5+bH5YZnZbfU1RYQ3v+B+3z73/xxvvg3v5v/+j/7bbH+p/Cuty/4E3/2R/l7P/o+vuxLP70zwtKYHbtGUOpfJB9NoiHy8eVG71QT03OYSsGao/VzWje/VEqRSK6e6dk1xi6vfzX0ZZNLDOy/RiYSLeE+km54Q7Kod9ex3VzCuIN7wTS58sbhkJvOVVxt9qlV8mOHnyd2n52J9gP7lwiRsJadCmVQbb9p+yRuInndfSTQTrsyTEAtmQrkkBKkOxZd5vq4JIfndEjdMVavDN8P6+n4QDauaTel4fU9pNDZ156IR3VMWBZcNxSipKCgoKCgoKDgGiD8UN8NojkUOuzf4T3kdpDOS9bgzo/8aET0x2VYL6szrlpXW5bzcwB+6O//FKrwr3/dpzGfn3Wz+Ve/+l382f/Pj/F9P/Qz/J6veH7QR3irw89TSIbOuOig2m6gzYNcQka6KKOCDTg3z4aXlCNTaoTxGk0rPYbTGRptwzqpnk4eG/fbG7ISFSH9bnRu2I+TYg6N6eQukYiR4XqMjcpDeFx1x2tldKbxPW6beb30eXKMmhGNI2XEdH+JSMiuwaQby5AofBxXoSky5FCMkp0RTqiqknuZ9oV2vjsG5MzoGUzuNv2JvrXQ1BPqHoYs1WO0ozskSzf2EQ67dyVVlkH1KccouUrQpYInRiFKCgoKCgoKCgquAcaGL6Qf9cLIgrpkv3bY3u7O8cQOc2eEj8mSKWhXZkeRIfBT//wVjBE+6zOfDa3FIvO55T2fdoef+ucv9+bTwHj32fthm7uTyxsYKl/ydmXQlu9LZLvgfcARjbvo03M3EIkSxfjpNKKXYd+6Tqsj8k+52iPMJT83RaykoK+hbCA9egOPSKakeyS991GBEgi7nLzJx3QVAuLJVDKvH/YpUi4v378edvkYZlgZe2KNXZ1UhyqvcVuHsE9d9qT3Z0eAjL8rsif+8rZ19Jru0cdRf+zOJXxf9eRMR9xNttwTGzmROaW+yfvsZjBxPhxKz9bThLyKYK6FYLkKClFSUFBQUFBQUHBNEH6nD2NKJIN1ID+frDtNjAwM3VHdXjaf+slbHxrKuVpht3M6fuOFFxtu3Vxy//4dHr7yUVCPiMUYw9F8zv0HG37qnz1kVtlsLAYxyQDKDXIYGpgh1Y1BOrtL0lvpj5n4xkfywxgTypp88AoKVgxiLYuTO8yXJ6gabh3/clwHE8gWUfxEXJWrxLa47Nh+FUJKH2tI6YHDIhtEKgKpkXa0E4mSEyhuRKDY0bXs+x+OIbl6jTPdpLbHsTWm8VqrTq5SN1fmXBYD40mxU/PKpNFIeaL9+zBWE6kXn9UZlxl+3qeGOORadAj71u9K7mMMwqx2ApTdumktdqmNfa5QU0RQcnNLcWJ6QiWRGC6WHba/T6F3lXsmH5NXwDz5fXQV+BLM9amiECUFBQUFBQUFBdcAV3VreFxZ/eA84HWcbjO1O6BQdvocle7aS0VT3+t1Q11bVmenXNx7MVNtCKINAK+8+CLLhUWMxF1rATVdiI/KCMYEk1F9CJ6o6jHJTUYV0wlDFDGC8+B8MMC8gnoADzGYoxhhVgXlSgomq75lMZthZzOq+ZL58Y0QpDXacEPVSzTKADUS0hRPkFOPs5M/RZjski9xjh1RlSsbpLtugWDK3bd0VD9vB3LXnL5sOhba7hUOvUvOvvGHMbz27jaP0+blBNTj93MwVgnTe/dDUtPTX7FAJiQFxBB7+pi4lw6RCPva2Fd2H+E0GFm6Z/Z10PM+WT/hHszv63B8+lm5ChnUq0dicOd0Tw7ml0gaQyBLAvkk8WFOzU2RQZNT20NAm/g98zRR0gM/XRSipKCgoKCgoKDgmqA3MCA3Sybl57Dz+Sq7osFeGLZ1VQNzaMyP4hJoIBLm84qLBxdcXJzjWheVJgaMpWnDbvlsYVFjA3mSGA+xOG/xKngE8b0+QolEiXhqaVFRWg3qkko8vlW8elQNXlOmC/BUkSQxGJRNqxgDRgTfOmpjcBrWxJgQrNQkskAgUjXjVWAcOuAqypLpNTxUX/p1jq43+YL32XDyVQprvasuScoUujKhDbK6CnG9dk3iRMCYg3ODqxMb+4ihq+BxjP7HafMqx4fkSAphOuy/JzwBfLfQueJit6PHG+vjKGYeh2g6SLxIJHtGrisq/dwOxfwIBEZP4j1xnJLdDrLvM81cbVJ6a58VnSY+9mGXNIrHJf1TcF1RiJKCgoKCgoKCgmsDGe307+6sDoNKsiP9v8wQSGRJZ4JPGpf7jfmkMCC2M+7lmbsnfPCX77HdNqj6oOwQwQi88nDDjeMapGLrLd4ps1qxNrrGxL59NHSUoNxAG9r7H0SOn4P5HNRzdu9F5osTzI2jQJIgiAFRwfs0h0CSqIIXpbZCVfVJPsVUQdGigBh2U7YO1ze5TBj/+Ab+VQ3xiRLskiRjMk2jmiQvM27DdATSEC4r4wguOmZUd9rd5jJi4kncb66i7JiOHfF4riJXHWd+TiIZqCO+Y2oO4RVEbCa3cEHpoLmbSiQQ8AzJrX5uu+2+dlKGKXLkn/3Iz3fjGpRNvnEACh6/8/wfHtqB8euIbJlwNVTVft10+N2jfnj906fP/JfeNfoO3f8cjtUt+4mj3j3taaIEc326KERJQUFBQUFBQcE1Q86DXCYJhynZ+7QBLpKytoBm6pJxm0mmno4Nj8ey8d9xSMv3fNqbed8//SDv/8B9PukZg1cwVU3jlA995Ixf8+7beCrUC049m9awtDO8J0jZk8Fk0i48VO6c2j6g2RjM7E1Ic4+6fRHRGb6puXjwcerlDWbLYxQLEtUqUepvhKgUCaoTYwSMRU0FlUGMwVrTESG9MWWymQayQkRBYrwQTSPcXfOruEXs3/lXjNFB/7vtQyI5hs2Ese3Eekkta/45J+Y6cxRVN2EE9iTF46hBnkTl8SREx/j9oefgKv0O6ufiqcElHa7DtLKrv6ak+Bmi2YUICqjw0AvI7lwed+xTny8rfxmSbuYr/92vnTy/mM35G3/6L12trSs8Gwm7eq4hyQTxuzL/0qQngnf7vVK3l5AlB5RBrxGCw9CTud48ZY+gXzEoRElBQUFBQUFBwTVDkIon6fiE4RYxNgYeJzZGTq7sex2SJBOESvZvGsxv/c2fzl/7tv+V7/nh9/PvfM07UQQ1wo/8w4+ybTyf/9lvo3HB7LLGoEATRQ3a0TgOf3aKHD+DrF6CzQc5OXGcPnqEdUvmvMQGjzUNs+ajtHqOcBMxJrItgmIQcRgxWOuSNYVEFxRjDGKq0F80hjvXiUj/iFgEE48n4kBRiTE7JuIwjNd56nXqevSLmC1mp/0ZI2VU6Q22nGQJMRmmsxftuJJoiAfTH9bs9eqG9z48qStMjqvGD5mKc3GVtvPXyT5GJFFXdo+qa88hejM/kiUpfg82qkz6Nq+qsun72xP0dM+cxuen+lidbVidbYBh/qhPf+en8YWf+1sGZY013P/4o8EaHSREdPxRd8aTfRhU005OItn7XpEyP5oxP6qBxyNlrgLtiNSnT0e4Esz1qaIQJQUFBQUFBQUF1wApCGcwMFK6XCW5PRz6wX+ZkiSPnRALwYQyoC+z6/4z9drb9X2f737Xs3zl//Gz+Jvf95M0mxW/7j3P8LGX1/zgP/gIv+bdd/gNn/1WnHqM2EBYSCBL8C2qDjObYzYPmfESbXsE649RVw1VLRjZIu1LiHGoV5bmHnOz4Uwr5vMatz3n4v4DVGbM774VYwSnDpvt6nsN+7RB3h+WOZfqB25C8o39XQIEQU0w7OwBe+mQoT4mMsL7dK3DWHtXDJuVg/7emDamd8mQUK8/n4i4lNkmlc9dPy4jdV5f7CNADrnk7HPRmSp/2GVN2Wdr73v2YgjiTokU4OhVQpEdjDa30pIb349DejyWQuMAMTQ+tjrf8uDFs26YiTC6tbzNr33re3cIilB2qt19g+n+6T+mtR7PP3s3bq//HN7cfFY7oiTEKzFA27neXBbfxXu/l4QK7y0i/sprXvCJiUKUFBQUFBQUFBRcEwxt0KExeBAj4++y3WghBDRlZFgH473PfDKpKpkYo8T/pTL/9v/5C7i1dPzA3/9FfuJn38/Jcc1v+U1v53d88afS+kiMWA2peSMp4C5eRLbnmGc+mco9ZDm/4Ozigyxma0y0LQWHZY1vA4kwqxv8RhAzp3KnrB++QuWDO4/b3KRaLoOZqqYTjhgTFAJGgoWqMY6JGDtIHxyUJaO1UQ+iqEQqSfuyCngBk3LzDHae/UHVSTLghgZvSnOqiKT6iUzps9vksUkmVT8d8ZU+p2ubrnPedmqTve3tkG4jTNXJ6+3DqwnEOiaJrqKk2CWTHo9oGPedxxEKA0nXL64b6W7wDF1AMl3WnrG/VqqIywiCS69RRle0rsU5x6ye920QqKExWRJ52bwhdoi+3QFli5a3mgK07vAsw+qpB0nXxfYtRDIkvYdpUq0b214ybjemzGsJz5M9DwVXQyFKCgoKCgoKCgquAXoVQTJa9rsU5MfGZsk+94/uMz0JoH3HmbHcp5zNq3bGsWT9xUaSkRctE6w1fMWXvJsv+bw7bDBsvUXF4hW2TYs1BmOD20vc42Vh1tT1Q/z2BVSb4A7SPsTMIwUTVRHWwmYtzJeWCs+DlbJctlj3MvOZY24MzSPDohaMeEQMnpBa2Ma0w2IEY203J2srrLE92ZPPLzfRJLhOeAlZeQZLK3SZMPqMNIOGRtdin1tTypZi4nXo1TBDF530N1Qz7LpLCcN4I+FYrzIha8Nk7abj06TIJAG3hyS57NxVzl/l+D5iJ32ecjV5LHe1Pc/gvuCkRNeQbizDJ5VEhCXCDt01vPcRM1NlLiNC9s1nLzmStffJv+5tncrqJz7wE7zv538c7z23Tm7yBZ/3G/nXvvJrOV4eTVMHmn1nqDKOMTII+aH5OkUyM7IiebBXHXwOpT/00y/0a9F1p9l36e536iHlzr57p79uT5coKa43TxeFKCkoKCgoKCgouAYY7lqGY5ftwCcYkaHTxIGd6fSnyVLuDOGkJPD0rh7DXV9CKSIfEJUUI+MxlkE9Xj0k15pYydhoqGPwOCwmEAtWmFXg9eNst4KvhMVSaLZKVYXyqAcF52B507BaeTDCom5Yr1rszHL/YQvU0K5w20dcrOHGM8+BjYE44ritBcRgjKGeLTC26nUxO5vicc0QQnYcF8ZMWC8fSZLoPEWQ5ZMRFLtkQzgX4qiEaw/gsmvR73iLVIi4rJ0qkihDdccuSbJLHvSKknTcxHamjOx0PHf9uXyX+zKy7qrndkZzCTlzWfv7yI7U9lWxr82xCmE4eLp7L7iWWBAXTohD1EY1hhtUu1QdNlL6XKamGde9ckyXWOxT3/lu3vvJ7+bZW7dZbzf8zC/+At/z9/4O//Sn/yn/j6/9BmbzGaqBLA3kpukUHJrdk8ZU9ERDuucN6h2I4J3r1ovoGtevM6gabt5+jsXRMk0wayvHUE21j+waz39KKdSfDymHn1QBdVW4JwzmWnA1FKKkoKCgoKCgoOAaQEa/8w8aXVP1Ge6i9m1E9QDBLaQzTQa73Mlw7omR3ujedcEZ9DswGrM9ciUYRsk4Ihg81hq8CtYKsn7IkT3HVzcxpqJthHoB1cyzXsHxieH8wuEx2I2y3goY4WLjmTfw6BxuHFteue84PrLcf6Bstoaqbrj/4gtUVcXi9jtRqUhpXYPkPsZHCauDd1t6aUwYq0pulIXjJs0j1kOCu006avomMtJpnwGqAzIkV36EZRsbfinWRVrh1EeqM3WPJFea3CDN64zHNSZa+r4Ajuf/W1Y0lHv/L73Ad/zNf8zf/4c/zQc+9BKbTcMnvfNNfMWXfR7/1r/+2zk+mjOFx1WN7MMUIXSZUuIqbj4DAiH9q8rG/Ya95MJekgIP8Rr0blYANn6Ox9j1JLnKs5+M+cclnS4dv2aEAdA2Lb//a/5PXJw/oK7mONfyWe/8ZO4cn/BD//Sf8Ld/7O/xRZ/9OSEyizV455jNTxARmu0KsTMWi2VI2S0O51usqTFGkGqGnS3Ae9R57r/8QdrtBQM5SnxOUAempp4fM18uB+fCdMxgLafUROPjU6TRZZ+fLlKa9CerW3A5ClFSUFBQUFBQUHBd0O32jw7vkdrvVGWcrLdvT2I7khnDiRZJzae4FbmLxw5Bko2xJxF6I6+jX7wLCWg6eiEMwhjBSIWtanR2RM1HWC4f0LawUcPpaUtdC8Yq52eOixW0Z4b5zLNaCw8vFK+Wsxda3nTL8OJ95eTEcHrm2Gzhzk2LMZYPvVRz+87zmONbOO8QUbwq1nRmL4riFbxrR4ZxVMp0Rni/s91paCTN16CiSCJJMnIoa2Liek4pG9J6Q1AWjGPEpLI9iRLOK8RsPn1/hjwOydR9NbqoB48nQzHfVQfhW/+nf8hf+ms/wm//4l/PV33lb6SqLf/of/nf+eN/+rv4W9/3Pr7n2/5fLBezibkO3z9JjJJ9CoDBue5aPJ6RK/3Nvff8XrebcbmJpzKPURLe+z1k13CN9vV/mfrskOvNZXMI/XhW6ws2mxViLPOTO8znx4Dy27/gJn/3J/43fuGFF/iXl3fwqty4EbJQzWZzvPNsmw2VsXh1VFVFVYVgq16VzXoNImxWK9rNita1oB7XNFF9YjCmRuo51lZsVw9Alabd4NoWa21240tGeE7jcV2udhckEtD7AqQUXAsUoqSgoKCgoKCg4BpA+9/3XfwIGBpJeSDN/T/0c4M4JziCe06+STm1gz1oScYKg8lmh/NI7UYZS9hHHxEwcddX6xNOT++A3mO2FI5vzqlnlldebhAJjgiVrWi94XwNxlqa1rPdKscLy0ungq0MrWvZbDxvuVsjAh+5J9x87m3Mb9wM2XTQMHHVkOXGGDB5AFAzNLr3rIoaxdHvsKOCVYsX19ln3hDjTRiMxOw02UJPruf06keiI62d27kmAZ5AitjsMyN1ipAUKftdc0I/Q6NaJo+LnGNkhYjhd37Zp/EH/p3fyM0by+62+De+/tfxX/2pm/zpP/fD/I1v/37+L7/vX8pnlU1x+p7ac2CnyuTxMck4spp3XcUuMXgVPEvgGPaoqvox7BIaSUECBjo3q0jTDbr1k+PYRypdVWly2Xj3x+EYtxVIDcTQNhecP/w4q/oG9eyIxfyYW8c3uFivuXn7LTi/ZXG0xDUt6/UFm4sz2s2a2XzGfDYDKsRoID9QbGXBK/V8BvMZq9Uj2o2lni8JV8gwOzqhmi2jyiRcNde2eFVENWpIhgRvT55Nr+l47vted9YtKrLMHmLrtYDy5K43hb65GgpRUlBQUFBQUFBwLdCTCaq7Rs5lbi9j84/sTG4UK9KRGUPk7hwpq8qwH4nSFB1Xk10lSzD6DEqIA2KEoDCJhg0KYuY0R+/k/pkwuzjl5KjFVnDjxPDgIWxbQvIQDPPZEUYsVhqUNS89bDlaKHfnhmYrvONNNc7Bx+7Bag03bz3g6OJFLtaOtX0Obt6OapYwAWOC8SpGEFvRxxyZRlgDM1psxRsXsuoATvzQ/SYuaJcl52DbI96guw6HM+akcn1si55c6UeRp6g9jKuoLYxsqOwDQPi8X38ErBDWgzl89Vd8En/6z8HP/twHsfIZu21fUT1yKZ10WTuPo1KZIgoERO/i9PiKTYytcjd9Tnynaopn97Y3RcBc5fO4/lXHvdtOUJT05J1i6wXz5Qlt29K6lgdnp7zrre9g02yZz+fU1ZzzB/d48Zc/xMl8xnw+p3l0TmsecXS8gMZg6yOQmhrwvsU1K+zihKOjE0QsrYfZbB6yXgGI8OjeRUfCqo8kIYQbRTRjglPWoRSDZ5r8GH82xuC9Zx+JJIAmAvQpMxK+BHN9qihESUFBQUFBQUHBNcDQ3WV4bl8gxuxDVvhJRzA2qPrYCf2RFF9hjxKgU8UEMsIagxdBfVI2hLkYSel6BbFL2pNPwfkN6809Ni99GJzHKWwboa7mqMxYbaCqYFnNWbDh6NkZ7dbhvefmMZydw8Nzz6YxvPlmy025x9m58Ki9yfyZm924RCxGKkLA1ZD9xlZVN+Z+KlPGZW9s9e4zPiudy/+ld9HZI90ZGmPpWO8OMVQG7VOC5JdfB2qk4UXKDfL9BthwR/1Q+XEnqXw4/pEXHgHw3LPHg/HtZz7SGB+DQOnGNzjQH9vRTE19juWngq+mt4P3h1QX6ZkZuqHl9XK3q2mXnKFRf6jPVxtHY/9cpq/Do/Oz2IdQz0+oZwtUN/ytH/3beO/5jE9+D/XiiJMbN9HNI7an93nLs8+xPDrGeYdvHeuLcy4enrJcCtXsHLF1XP4QALl1K2R+Aystm6Zl6w2Lo2UIAi2EVN5xPN5r5CsE6Zc+zm36q/Aq5NIhdU26cpd4Zr0mcFd8FgqeDIUoKSgoKCgoKCi4xriKNH5g+u11TTgcjHU3BsW4Zdg1npK1ME5TrBgJqXiNOoyErDUS7X1jDfgGac6p7AxDg1iPHN3AbW6zfXSPVhVVS6tw/3zDauOoDMwNqIH1tsGKcHNhcd5xVMGNpeHWMVSV8NKZsDHPsnjmLRhrMeIwcWta8ANDSkZEQHLHmFqzYVwMEDFdNg+DxefrIAT9zijVc19/vN5+olxQhEimTNi9jklF4g4IKAZ5kbgaIZGy90yUj4zMpv1UvHO98kUE7zx/4pu/laoyfOWX/3bWzVtGY566D/P3+fXISY9RnexNUu/sR1QQiR+6wwyvWLgmABhq8/NZL4es4uhGIzFAr6Z7SqIhv5tBZaeFCUXHVeNoXKYkuQrp0p2bWMNE+H33j3wP//sv/HPe+abnePNz76B1ys/80s/ycx/8eT7p+XfxWz7vN/PKwwfcvnmT0/NTKlNx49YdxBgqVbxzGGM5f9BwcfqQen7BbF6jkUm8v2lY6Rn1suHm8QmL5ZzVest6azk6PsFIfm8o3rfxfbqWE2N/lWu5Sz6lcldq7lWhKEqeLgpRUlBQUFBQUFBwTbDjSjPlWhO3Mvftvfc/5HXH5sl3vP2ov7zM+Hh3bF+H+U5uLB/SZ0JtFLyydYrBYA0Y49H1I6r1L3HjToWtFOfBe2huKPdaZXXqWTWWl++tMSIcz2YcLytuzmc8WG141DSsUC4aON/CW25VzI3Ft+DaBebmc8znN7BGEPXRyJLQSSWoVxSPuvAaJPVXow+mSSViK2EVbFwTja43+xQlw9fh8ctcZvpywdjv45Lkx5MRaQcKlX0xGdL4A0li4rmQDnmSSBPloy+8wHa7xViDNZb/+s9+Lz/+z36Jf/f/+iUs5spHPvICIkJVWZwLaaPFGAwhO0oyfkM/UNcxEwoSYlBIIB5a3+Ja16mVjAmuUy4nGXyfScjaCmOEtm1xLlwdkRBrwxhL2/qYBSkpnkzoV4Rnn30mEBxdw2GuxDTNZEZsIEkyF5tOaZTW8ungKgTJobKXtkWvelGFz3z3p/OBD/0i/+wXfo7VT/8UxhjedPc5fs+X/C6++Dd8EcdHx/zML/4cH3/lZc5eeciN6K5msLS+DS0ZQ1XP2JzBxWaLP27BGjYK91uhsZbtozNOG88zN29y6/gGm41ntdpwdHSMsTVqQkwe9TGuy/jLUPtxX0V1c0hlsrsuiTR8/ODDBZ9YKERJQUFBQUFBQcF1xNSP8GQAxY/KLtmRFAC928Tu+a7+TuDOvPXU1gQlozosP+BKFNSDJsNUqGvfFRcT1Q/VgsYvefDyfaoqKFCCeWNYzAxUFa88dNxYzHj3W57hubu3mM0qms2at20a7p0e8UsvPeR00/JwA3Je8/bn3oGpFxipQExQjmQyee8cXczTzAUixVmZ5IFGLi/7VAEaSQPRVMN3qgtUg3GXvEQOqIMGfYswjhUzTW6NFShR5SPp+qXrtc+wG7qj9Nc91Utzjq/q4zpA27Y0LhjBznn+/P/wI3z7d/0TfteXfw6/7+u+AOcVj2KNwWnIPNS6EMuFSJaICNYYxFiMCNba7vJI5wJmMGqgMiFehkgMYxtIk7RWgaCTTj2ECBWCteF+9B5sJM28D9mOvPc457EWUkyLbr75mmm2VqLd9e2i/nTPXIplE99LeCTylU5P8mWZU66SynZfnaR0yV2idsuQWKLueHIvGY/tX/i1n8u7nnmW0wcf5+Yzb6eeHVHP5pyc3OTh/Qc0zrF1DT/7wV/CrLbcffubqaoK533WLtiqpqqXXNw/49HFGr8wfODU0ZiKG7drwNL6DacXL1IvTjmeH/Hc8W0WraeqT7DVEd5tUO/iPPxehcdVA9/ma7I3iGv6IokvV233SfFGud6IyOcA/wnwG4BbwAeB/xH406q6ycp9KfCfA78eeAR8J/BNqvrg9R7zk6AQJQUFBQUFBQUF1wD7A7PuL79/t3P8Pq+3v+7Y737/hql0hl5vIPajTwSMFfACqCL4EJTRWrzC5uHHObKPOL5hMVZCsFcnPHrU8tFXPB+93zKraj7zXW/m2WduU8/mmYuF4a4q6pWff/kh543jdLVhvfUcLxeo9xgxWBHwDjSkAVb1g+gQRoapi9M8dDibnXXfhca6HoONY1SSCU1SlZDs6+l0reM1Hl6HQ0ZT2LlPBEd4TTRCGNf4fth1sfKoVgPXghRYWOLckkpI8ag6nPM8PH3IerWmqmr+4l/9Uf7yt/xDvuxLfx1/6Pd/WQyKGVQfaR1mizmVd4EwU6iqirqqsJ2qJCkYfIhBgYTAuxICbYbAuUMVSLpvjTWBo1MYTIRQrqosXk1HJdUxRo0ATdOgqhhjcM7hXItWOe0U7/okD4qZjujOWZIbGmro4vl07mlEFxM6QztXoVyGscrhcrItzXu6rSurTrJDISuuIbGNrXo2mzUvXzxiYWrc5oKm2bBtWhbOsV6teKDKbDZDvWOzWvPo0Rnb7Yp209A6w1lrOD9veOGVC7ZeOX2wpZ7VVHWFqQxiDdW84s6n3KJptjGI7E1WZ68E8knT941OzmGK4LxszocUJzlX9rTxRrjeiMh7gH8E/CzwB4CXgS8G/kvgM4HfF8t9EfC9wHcBfxh4G/DHgfeKyG9WVc8nOApRUlBQUFBQUFBwDZBM2cNxFgKmXT/MHiO+NxbyjDq70GjIHe5/Qs9AGnZqVqLBKNE1AqcYfLfL74Dl3Xfizhyr85epLLSNZ7W1fOjlipceeQTh7XePuX1yHOqpx7UejFAZi7MVy5nl7nLOxfaC1in3XrnHjZt3EGtRH5NrdmEoojLCR8NKTRi0gda13dj1gCU0lYlIk0sGwVhW05MxiVCymTjDh8zEgzYm1zkXMujubTEch9LHJ0mqE8tu9pudGTGMXeK6ssGNJxmZfSwP7xVRD8azdY71ZoNznr/6rT/KX/7r/4Df/iXv5Q/+/i+jdTExdJCOYK3tjNWqqlCvYNL9JjiCQkPpjdrkPqYaCAcjFRDcZjrXh6gE6tQAxgTZSNdGP3/vw7VSBPUepx7vHFVlqaqKtg0Kk7ZxbDZbFrWPWZccGtcppX7OxDbdSibCCtoBwTJ5CbLUsld1ixnHtxnXzY8NCa/dPrrPe2KXhEdY+wlEEs4Yi6lqwPDx+y+yBVbNhrmpmMsMwWLF4dTjtmtevvcSN27eYT6b8YGffz+bbcMzz95mdbFiu22Y1YbW1BzPa0zjYLOFSpjNFoi1YATfKv/8F3+e93zyp/CmO89Qz+asFJy2cdwmXNNLSI9E9oE9UOaq2Lm6rzncGxOj5PcCC+CrVfX98dgPi8i7gK8TkX9TVRvgTwA/BXxtIkVE5GPA3wH+FeBbX/+hPx4KUVJQUFBQUFBQcE2QbK+DZXQcZDS9n1KPvDbS7a4dTWMc6SyiQZoMDq8hCbGYFLdDQ2peIziv4D1a1cjNT2W9egtuc4YC7Uw4Xf8yqp5lXfGm27eorMXaqu8/Grv1vGbWzDmZbahE2Kry6NEZm/WG5fFR55akKogBKxrjUaSx1IHEieRARybtWYN9sVsY1JLkxdOTG9GeylT7l6/zzvGr1BlZ7pnLymgmJFJMZGzo9XdgUI+Y7HMiMMCj4DzqHK51/NVv/TH+yt/4Mb70i9/LN/7fvxwjQtO0CBXGGOqqxliLj64SveIjjNfHzWf1+XgkBgSWjjxJrjtWhaoyHQEQzocFToop70M6aq8+xkKx8foHwi5cT4tKuDjGCKaKqhAjIZaKc+EeGsgqfKZWyeKUEMi9MLerGdBTKpHx8X3lp85Nx5rJ1UE6mE9Hhuy0NdE+kEgt71xQ4ohhvTmn2bTcPJlzcXGGui1tuwXvuHf/IW6zparXaNOg24blckbbtJyfb1DfUNuamRVuVBXvOjlh1noezSwX84pWg+LIe+Xh+Sk//Ys/y9FnfjZgglNd5tKTJ/fu1kn7z8GWTxPraOkwq0w1ckitk9x8Di7U9UcTXx+Ojj+M55yIPA98PvAHc+WIqv6AiHwE+GoKUVJQUFBQUFBQUPBaIidChj7z0O2idwZx7mYz3Vaqnx3d13NXdmiYy+BtRydcIvsXIPjaCDgCKaEag216tG3A1tjj21Qnd1BVHnzkg2xajxfDcl7hXcvHXn4FU9XcPFqyqGvatuF8teZ8veXiYs1q0wYXGnW0bcvq4ozl0SKIFTL3B2MA77FRjeB1qOzolmDPtA6STtGlQkUHcUjGS9gNKa3l3jaH13WsKLmMAOtdb6YN597Y271/ejVCIlPGKpuk/FBQz7d/1z/hr/yNH+PNz93k8z7nk/ihv/fTXU/WGN721jv8i/+HTwfo3Fq8RjcagaZx0LRYI9R13Tl1Ec35nDvRRKpouKeMEN17IMUWSeNV1RgfJY08ZD0yxnRuQMZAVQeVinqPMZZt04QAvFFDYlQH49nJQ5vcq/DxrjeRUHwysuSyMmHo04TdpCqkG31WVsL40tOxr5/8Y1cq9m1tzTM3n+W2eY6XXnkZTLirquWSRgXxW55705sxotTA6UsvcuvubU7u3GGzbbGzBbU2NOtzGu95x40FeuGCwic8vBgxtE0LAtZaLjYb7p2ecrc2GFMHYi2q13bWOyNJ6JRT6f7I3dLy1ZlwtRm44YR7PgWQvSIf9kQII34yovtVDuuvAP8+8N+JyDcCrwC/FfgG4E+qqheR98ayPzVR/yeB904c/4RDIUoKCgoKCgoKCq4RghEU09jGTCN08UPyn8Dp+DDA5+Uy/ryf/H34643yKTVC1s6e3/DBSI279qKZTR7aMhbU+2AAq0O8oEZwbcPp6Wkorp6ltbjWId5z+uCMh/4V3vG2N7HZbPjFF+4jKEezCq8K4qMRDRdnpzx79y5I3OHvLBqPqULmlcBSJFcjInmjHf8UnDOubqSISYFbAbUMYiZIWAKbXZaptK27sFl5GKo9rpJxI8+Yo9lfjykVwrDdPEhm78aSQpx6DP/8Zz8KwMdfOuWP/cn/eWcUn/c5n8QX/KZPx7kQMBXC5fAaArxW0SXHOQc0QUHgXAzoKt39b4x0MWXAx2uaricxnkl4ZowVULDRLUNEw/2Xxu89HnolCyBVuN+816B82WNuDp8vN7HG/olIkvzYVPyafeqTQwj1evVET5b0qoj+Xs/amxpXOh6JqIuLM2w1586Nu5wsjnj/Rz6AF3DbLZvNhlrh9t1bWCxnr7zE5nwLFuazObefeYZ2u2H14B6vXFwgTrkxn/HSoy2zumJjw7h9YBODIiSSIhfn5yyPFthqHsqo66/r5Cr4+GcB181dNbmZKcG1bJ+aK1v7wdfv01eTvErXm1si8uBQAVW9PXHsQyLyGwmxR34xO/VHVfU/iu+fia/3Jpq9B3zu4w72jUAhSgoKCgoKCgoKriESYbHfaBqrAHYN3X2kyWEXj8gW5O2kc1m3u0SCRlsxxoYgyOK9Goy1oaoxSPBmx1gTAqziwFu26xXr1TrMW+HG0ZzNtsGrBONpvcFUFb5p2TYtR/MKp8rZeturR1Rotlu8C4FjvYk7yd0ypDGbGCMj7hCP1lMyQmKwE39o/Tpxxm4Mw7TnnYLGeokU1HgTfGAA532MDNmdstM9pguWx6nYJcgOYXpnPWuZ/+ibfie//9/+EpZHRxgb1DvbpsG1DbYynBwfsYlxTLwqxtqQIlq1I06MCa4xoLi27frz6kM6YOhSAQsGYwgxULQntMSEeVqjgSIyBiNBPWLExNs6Pjspjgm9+kTVB/VCP+GpZbjyGuWfpzMVHVYxXJX8nCJPh8cyIkfI5pW3P5zHoP3BmxDXR1Gqqma+PObo6BgFPu2dn8qD0wd84EO/xKyumQms1xtmUrFZtVysthjjabYbqrWwPTvn/MEDmrbB2JCu+8bJklPf0s5nqBLOGRuC+arSnJ/z8Q9/mLuf/mkYW+PaDV5TJqZeZ7d/rYZr1q/T8Pkfr29XPhKEOpZ4PRUIfh8bfYW6T9xriEXyt4AXgN8DPAC+EPgPRcRnZAnsX+6nzyK9BihESUFBQUFBQUHBNcFVjdh9MUlg2oBW1T5dalZm1y1DOrJEdn7rXqax6OQYO7XURFkFSVViUAwGEyM7CJvVOW0bMtRYI9w6OebkxjEfeeFlnBfe+a53sjya07aOu8dznBoa73nzrWPuna84b0IK4rbZ0jQb5ss5RqRz3TAinT6mI0C8x2euGt00+oXeneWk0Zuf2zVEJTfhFDQGFN2X+Wa3j8OG8vS94iNBMnbjGcbCuIoyYdpQ127iSor/EhVOwHbbQBPu07Z1eBcCo6a7aDabYaMrjCekh57P5ywXRxDbUyUGXFWMVcSFWBSBMJHMfQSMxhTBQWAUAgpH1YlX39fpiLwwBe8DQRLmoHjnd6b5ZOtzFSJqWP8y1cjhOCYHiJf0j2gUU3UJjfdMTwbvuhWRmK5aM/fAWOpovmT53IJnbtwOGYO8w917CalgeXTEnWfv4l0gNddnZ6xOz7hYr7DWUlcmZK7ywkves6gN+BiDBBCpgptV43DtitOHD3jm7l28c7vzfEwkkrR30cmP5+vpu+MiElVoTxfugKLvCng4pRi5Av4YcAP4HFVdxWN/N953/7GI/AWCOw70ypIcd5lWmnzCoRAlBQUFBQUFBQXXEPludE5qHA40OMRVsuCMWonHY9rcTj2Snw3vDhnzyagIO/qBPKmsCYoCCS4VbcepBPVJs1njvQ9xQwR86zk+WvCeT3sXs3pB22xo1xuMwo1Zxa3bNzF1zeZizdnFOhrNQuM82+2K+WIGEgxxomuNxJgpISBs6N+5GAdjwsqaWr1JckFNb3VKHjRyf2teQoyNCQHKQQzj1lyictkz7qsSJHnbyZBUVYwYJDPiUlBN74NYw3nP6aNzZrMZm01D27ZcrC5Yr1a0bUNV1RwdLTlaLrl54wb1rAagbUNmo8VyEUgMVaypsCaSMhraTkttpQpqg2y9nfdoJEUMBo2RHrwL7htN27BZb7g4P+f0wT0ePnxI61qWizm3bt1hcXKMUHHz5JheO0NPCu1Z/33rfUhVMr4Wh+Jj5G1Mkyjdu3EPozKxrkZ9hO72E8oKislqp1TaAc61ONfivcPaKgTLXa0wF2dU8wX1jZucnZ2yenCPex97hdVqzWwxY7XaYtSxWq1RhFl0nXp0tuGDa091Y0btPHNbMV/OqMWE+2kdrtHR4pjbt+4wXxzRbNfdnJKqJLkGjde4+7aZvGY+c21M97Xr3quG9OYxjPHB6/4rAJ8D/ExGkiS8j7Ag76GPTfJeQpabHJ9FSC/8CY9ClBQUFBQUFBQUXAP0ZIhhatf4MsMslZlqM+FQ/aHUP7lqZKIK1ZjO9XBbGizcGDRTsQJd1uFO4e4zQzukbd1stqG+KE5htbqgvdiwuHmMGGV1dgFtS+scrfP4xmONY7Pa0rR9rAn1Htc00VsljEVV4xgkE75M7KnndnG3Vx4P7XU5yrGP9RhK++PGPqjiRbqMHRrXWEUxWcDJcB36NvYpj3Iy7UlxlXtO1QdVTHR5khQ/JJJPm03DZrPFOc+2aTg9fcj52TnNtiGk543tY5jNao6OjjlaLjk+OebZ557lxCuLxXyghknuMaB4F+bppe3WyIhBrOkUUaoxWoh62tZxcX7Bgwf3uffyi1ycb4I7kPdUMbjv6cMzPvbRj3Ny8wa3b9/hLW8Km+V7fQse01jepwZ5nGt1WFEC4/sslOs66s7HZK57++ibniD9BFCPeI+2LRI5LAFc26LO0ziH8Z7ZyQmb+68gzuPWDffvP2K9OmexrNg2GyobxtBuWo7PN8yMsGqFt+iSGx5a1+Baz+Zsxe3acqdacPvOcyxtxfLohM3qDHX+sa7R8J4WwIzKpWe4T4kt3dpe3v5rBuXJXW9e3bA+CrxXRI5U9SI7/pvi60dU9cMi8j7g60Xkz2ifHvhLgOeB73hVI3idUIiSgoKCgoKCgoJrgKGbhA4+v1oDONW9jEhJfSUvnVR8KrbFrpGQkw4+OkYIRmL2kBBwBa8hG4r3wU1CMXi3YbveYE004jysW49rt7SbKqgHrOUjH36Bi/WG4+M59XJOu2lZNy1rl3aTg2rAbbaYuH5KcrmQbl37EUcSxe8amN16ZK+HVj/Y54cslIzoSESJ9NxMd+Ulvc9TmF5NCfIkipFpN6zpcn35NJ/wKiKRLBGcOlrXcv/BfdQr22bL6mIVXRUEsYIxBmsMqtC2jgcPHvDw4UOqquLjH3+R559/C295y5s5OTnBO4+qxxqDiAnrI2muQ6LLOxdcbEQjSdOyWp3x6MEDzh6dsV6vqeuK5fERi+MjjEKz3dK2LVVlaNqK87MV6kJA196T7OqW5yHFyc7nfAZ7yo6Jkf0EydSxzMS/RIXWx+kZ68fy/jUQnAJudY7dNPiTE+qTm4BQ3ThBF3NomvDMLk+wR8fceHPD7PaS9eqC9dkjNqsWxaNWWK3CdXrRChdO0MbxgZfvM6ss8/kCI4LWFXVlePvb3kFdz1Fb0W5bTOPCfXWpwm6oiBrON81xqBzqj2lPria3rddJUeJfnevNk+Kbge8E/raI/BlCWuAvAr4R+EFV/clY7psIapJvEZE/D7wN+OPAPwa+7XUe8xOhECUFBQUFBQUFBdcAInkMkV3VwCGJ/pSBO+VeE8gSGKgbMgIlJ2p6ZUsy2IhxIfKyuaGaGw9J3t+fSQEQu7gGUebuEbbrc7bbJmSwUUHxXDTbkDHGecS11HPLc2+5y8WjM6pZDUbYtFs23rMapfvcbNaob7Cm6uMzaBxPHHecBWDjvvI+BINKhnbjBLGwa+gOz0+oQDTuW4viREJmHKWPYdLJ/+2w3tQo97h4TKkQ9rmEPE4Q0a5MnFlV2WDUNp7VasVmHQiIpgnxKkJZxbtAaGAsIoaqrqGquv7Ozs74+Z//RR48eMhb3/oWnnnmLnVVBZebRPh1bmEaRE4SMth4H/5a5zg/v+DeK/dZnZ0CnrqqWS6PQIVts8F5pXWO7eYC71uUcL/bysZsOE/PGM7JqV7w0fuMXFUFttsu5OMW0ZB5qisAPWmwr+2ULWlYL4mxEIMRy/zGLaxU2MUyPLepTwRbxTTPxrB47s3gWxY3YXk+59Qo52fnbFcNj842NK1ydDQPrnPqqGQGRmgFLMqstlhjWSyX1DduUM3mVIsFdW2pZjWqLtIZ2ZdNl+kmEaSG4EozpZZKCpLEiqVvOB9dbqbWKdGbTw8KuCdUlLyakanqd4nIlwL/AfDngBPgA8B/DvyprNwPi8hXAH8E+B7gESFTzjdqn1LoExqFKCkoKCgoKCgouAZQTYZgb7IfinFwFWVB/lm61Kp97JFx2Z4wMSMFiuyMbbDjnJEmXarRuBFrjNDFPVQFHC56/AsGo0q7DvFJvBKCcGI43zQh3oRznL70iPXZBdvVhu3WoUYwyxkIrLxj65NEg6BacQ51LoxX4k645FL6oHfxKlgNrj89iaNpxoPXbtb59RDiTEA7A2u8ltIZYPs0KRmnhGjSwOyU2hnH1D3wOGqSx1Wg7A1aaoTZrMYaoW1bXNvivWe9XuOcw5jh7EUMzjtEFL/1GGuwVU1VWY6Pl6wu1nz8xZc4PX3Ec88+wyd/8rtC8Fdru5VI96KLjXrvcd7Tbjb88oc/yqOHpxgJwX3T6tqqwjlH0zR4DTFQ1DtIRJsIlbHM6jrON587XLZEj0Nw7JjeqpPKiMv661Vf4TX/zhiPP+/5sItVYuwyGjSSR+FeVRyearkEW9E/++Gd821YLB8C+JrjBfc/+mHWD0+5ODvnYrVh0zTUleXOnSPqynC23TATS1XXNBpSLN84WnL75AbHyyWL5XFoUj22qhBbYY+OcTE2SRCM5BcphfrN0wAPr0//Wbsa44VLZbz3wzV6HUQlT5715tVBVX8Q+MErlPt+4Puf/oieDq4NUSIinwP8J8BvAG4BHwT+R+BPq+omK/elBEbr1xOYq+8EvklVH7zeYy4oKCgoKCgoeC1xSA2wr/xV3TGEaUXJuN9EiKRD4ZwZtBN4EOl2wdMOf/67Pok3DCbs+htBfWhLfQyqigfvaJtVMM18MrmU003Liw/OeMsdwVZCtajZupAjx1jAwKZtOV03tCOjpfWOtmmYIyAmxNTQQNjYnsfBOUFMDPeZxV/J9SZTa9SX6wtJV6Y31PJyXZsDliqtWU6MTF3LPvbJWP3zagiT6aCg00qT7n33b3/MiOnS+6pA61qcd9GNyxDulhBM15gYkUVjJiIbjql3eBFc2zKrK5qmoW1aPvKRjwDKp3zKuwEJwVslZCHxHQMXCK62afjABz7Exz72MZbLJeI9xgh1VeFRtpstrfM41agaAVUhZCR2WBPIEjEmkGcjx5sxjzH4mKlDcoN9oDk6QKR06z46N3UddsmQnrTsXUxSXe0ezL1xhSZIkn40U7OVQBx4xbVbvGtothe4NmScaps16oNCRIzFAPXtE+q6YnG0oLp/n7apWJ4smc3n+GbLzc2ci8awqWu2mzXWGm6enLBczHHquVitmNUtzjfc4CZIcMcbpHTuF2Q8w6uTWJnaZkp506lM9rdQcE1wLYgSEXkPITruzwJ/AHgZ+GLgvwQ+E/h9sdwXAd9LkPX8YXpfqPeKyG9OgWQKCgoKCgoKCq4bRExn9Ey5zUzhSq4RyRhO1umVf+bvJ1V2Ap3u9OmDYiSbT4oJoD6wA0bAKbRtw3a1DgFaY/uiSus9H3rpAbeWMxbzGfV8xsmsRr2yulhxsdnyYNXwcNOkXkP7QOMcq4szFjfvIFWFqAcJsTGCIQxGs1TIpg6vyHi6O9qOHbUOFYjLPgfCIKWzMUrntrMTJ0YIGVqSIEYCYaNx7ZKh28fk2MWrDd6axvEklbrddvVstw3GpKCr4R4ISYZ68ijFJvHO9/v9kfyq65rWtWzalpmtefOdW9y8seSjL97j5Zde5vnn387xcdW1FdxskoIpEB+np4948aUXuXP7NtYYzs7PQZVWXVRCCKaygWBxMQWxB4nkjY9zSeROQEpTG5VIE3FGBp/T+WRkM1Js5IRKWkkBRPtnpFNmHVDxTCpHsjF3/8bPXfeHSRhoR9qoYZ9iwvicdzjfcv7wRVCHcxu8b6P7nA9KKzGcnT9CmzWL5THgqY+WHFtwqxX10RLXNEhd88zzz9Lev+ChU4xd4Aw0fkvbBhUR1mOcR6ShbU4xMscIKG5yjcLcgxvRZSZiIqcm2xmQJeEvBLB9+rFKvL4hMUp+1eBaECXA7wUWwFer6vvjsR8WkXcBXyci/6aqNsCfIKQj+tosuu7HCIFk/hXgW1//oRcUFBQUFBQUvHo8ScDW6aCqQ6XJ+HwWCuGyEWUb4yODSnLVRdq17mp17gwqNpRVaJ3pjOOkkleU7WbFZrPt3XPoCZh107LZNPimYT6fsVjMUA/nFyvun6+52HpcImMIohDVkPJ3u9mCa5B6hopQGTApK0ocf1KXGFNF4/jy9e4/+LgCNht3Oh8UM0Z9VJpMrG6Q22B0qDwYK0wOxZ+ZOv9YpIkIvluPQOpc1kYidDQrp6o41wAWYw2o4loXCIisrURUGWtwTRtMWWtBhM12i2tdVBIc8Smf9GZuLxfcPJrzU+//KOvthqPjEGPEpXTEGpQqKDjnOH1wn0qEd73lGVpVPtQ2rNdr2q3G6yy4mCY4uLqEO82MVVdMPSOJdugJucHZAw/VriJnSDJq9/hI7Fd6SvMyhc8OcZOesFzitauMmB6zZq/SvR0HRg3xfkLqZtTjdBP61ZDLqmlb6tk8qknOaZyjrmo2/ozqaEE1PwYrbF2Daxrq2oKFOzdr6k3Dgy2cN47VxSPmBubVDKPKtl1RWwtNjfMWlRne1/0i5qugw+euiwkzVolkxFVSyCnTipJU5elGsOnhnozBLLgirgtRkrYCHo6OP4znnIg8D3w+8Adz5Yiq/oCIfAT4agpRUlBQUFBQUHBNcTBQZ1eGtEXd1xvsfvdvp1QpfaaHXeOr/5wb4QBjFUSqn8xGZay6CD/VUjkD6sPuaDIIwyG8KtuzU7aNj+EXFdGUuDfSEDbsYr9875Rt27J1nvNNC0aYVYJpYtjGSJJ473EO1qsN29UFy+VxdPmIu8FiuqgicUJBZRLT217ZAtJ+BbJQLp0036h0ipqO/BiKSYaXLZI3BxPnPAYOKVD6TsfWJDvz74zE3VNdFaIrhgicPTrn0dlZRysk9xgjBueC6afRrUXCgtG2LerDfVNVFc/ducHtkzlHiyPejPChj76M8z7ENUluHyPKIcQogdsnx9w4mgWljnkLH3/pPqfn51xcrMJ1sQYxZmBXp2Ck1gZix3XqgWlWUdPFnyCsLlMZ5EFbc9JS+gIkQ3/H5UNygmZYUXu2pRvXMMDpfmI17yO+GdbPOpL4vMzqGfVsxqw+Yb06pd2c0rSrWCv8z7drjo8WyMkxq4ev0LBm8+gc8YqpLIvlnKZ12OWMtm0wxnFjBosK1psWOxPqaoOxoEaweG7OLfg1TgWPi6TF+Ltol3C+VP2RX4zs+gQXrPHavR40yRsXo+RXC64LUfJXgH8f+O9E5BuBV4DfCnwD8CdV1YvIe2PZn5qo/5PAeyeOFxQUFBQUFBRcC4zjRYzfJzVGd1wyQ72T619dUTDdV4pPkrv/dKfyynQZO3b6Czux3nvEBDcUl5gMUlDY8Nmt12xWa9atw3sdGDMCLGtLZQ3z+YzWOTYPGxrnWMwstq652G6pRHAjFwOPp2kdm4tzFrfvYiRmvZA+XbDPEjOI2N49acglHcCuAiUM3yMYJClF0rWLfFa+nIkMit5IkWDpFQ79+Iak1ziTzZNc824WkRMY8icTsUtSBhWlu9eg5wtEBGMsm82GR6dnveLISEeWeO9J0iGREJfEuTbMG+F4NuPujRPu3jzCNy1bQpDfO7dvdkRLaKe/OFYkZrppmc/n4LehfRWWteWZ2ydsNg0XrNi2DRU1JrvXOhWX9nPyrctif4wN7tGHiWt1GRmxa3RHglKVxJQlknKokxi/H7WV3nfD3h3/IeTfLcOJhiuUyD4xIRgvKKaqWJ7cxVU1bbOins1wrce7Dc16hW+3qPe47RqjjtqEGEJuvaXSltmiwtQmPnIh4PKRqbl5w9K2jtZ7rGlxKDXKXJYQ03lv2wap5t09GWas/RSuMOeuTGCmDpaU4SV6neiSgqeFa0GUqOqHROQ3EmKP/GJ26o+q6n8U3z8TX+9NNHEP+NyptkXkwSXd37r6SAsKCgoKCgoKng4OuVPsO9af7I1uYOcX/NDQ3vfzfqgm2TGWdafIZF+oYoxgokuFSkjRacXgfO8SIArNdsW2CdltQLHaKxdm1vCmm0vq2mKscHJyhHplsd0iIly0jsrAnaOKs61j3Th8ZCJUhdZ5VucXnFycYY9OOi+EFGtAjICPKg4T1+XADu7lCg1BOjeckfHcKUX27HJHdw+jw+v4JGTIIezLoHQIvctCbEMmYmwQ3GqMETabLav1qqsrKhgxUYUR2jExY41GYssYw/FixjM3T3juzi2MscHtoKowIty4dQOMCW4zeeZRVXyyXhUWyyXtdoUI2FlN45TlrOYtz5ywqC33z85Zbza0riU4iYT70UiIW5MUUF4zldCYz8g/7FnGfU/Z7jM1LKVEIzxrQEbn8z4gJ1ymBnM1VcVO3JKB8szHtYiRluO1ExHUewzKanXK6tFLmKoCsfh2Q9tssCYE+W29p65nGEJw37kxGDFUVRX6M4IxN7tZqt/inENxtE0Iwqx4ZrMZJyc38B6c96wah/p28P03laXqcIaffLlytY9EHiwSMJo9jxJoazF72nmNUGKUPF1cC6IkxiL5W8ALwO8BHgBfCPyHIuIzsgT2/9e9kHoFBQUFn6D4vm99+Q3r+8u+9tk3rO+CgsfFXgNW9hu5KabCuDwQlQKHjeLc0O8qdceTCiT13xvuPfJsH/EfDS4umlQv0hsxLu7+evW4ZsN2u8UAlRHEGua15dZyznO3jnjm5hF1XeGcBwPHJ0uqbSBg2rNz0IoTEZ49WdCqctE6mtaxbTwiynbbcPHoAdXMQjWLswl6CGtT6uBguO9dpezEcPc+KRD6nehO1zPVWCY+2FULpdWZ6P5xSbPU3R5y5XFIks7tJjPcpwJ9BkWJwRjLzZs3mM1mrFYrvPPYyoY4JAreeY6qirfcuY2dWT720n1WbcNsVvHMzRPecvcWxhrWmy2tV87XDecXa2bHJ2BC9iLvR/17HwcAVV1RHZ9w/9EasQ2iBu8DofbMjTmLecVHX7rP+cqh4jlezDk5PuLi/ILGtbhWg3BilnEYkVDrFRr99e9VIP2tf2h1d6772LWm+5DxM+qDymu3te7fAYGSq0oyPHbgUUn/jBmjAGsM3rec3v8o7fYc324wtmK7WbM+e0htLdZWeO+Z2QrEkDIf2cpiKktVzzHGIjYEXRVjqSqL315EIqJCRfFNy/nZfdw2ZNgRsbRtQ9M0GObZkKV7yPzg+3KXcNwJsCshiLRKilGT6veujUNiU8Y812sOf/BuKni1uBZECfDHgBvA56jqKh77u/FG/o9F5C8Q3HGgV5bkuMu00gRVvX2o46g4KaqSgoKCgoKCgjcUBw3YjPDoSg1+6Kdjaa9717gZutdM9Z0MCO0+S9r5z4xBGY81upakLlUB58NetArGCgbBe4eIRX3IiGFRjq3y5lvHOK/M5jNOlgvmM8tsZqiMJcWjSPZaVVtaJ4itWMxqjhZzlsdzbB3H6YS29axWaxCDF0FdQ3t+RnV8A7EVxoR4KcYE5YmIx5hA9hiRwVpOmb19ZhxPHlBEFAweJ1lwVxlU7DDlZrWj0hipSaZizmQtTo71tUDQFGjPE0wgGaXee05OjpnPF5ydncUGUnYZjxV4++1jjmtYrdY8f/cGH753ysxYZgKubXAtYAzWWKSquP/wnGfmJ8wWFmOkv7d3XIPAaEVbVTy8d8bdW8eotri2xTXhflvWhuPlgov1hnlledtzd6kry+2jOS++fJ/G+OjVMZJzDIiiHt3l1+z+n7gO+9Mw7zyIA0JUNSqf6ImbXbVKr4K4DPviqOTHNVM+jb5x0hADSeA9RoTGO7xvAYdFaDbnVOKpjcGoQwgxYcQEcsTOFlR1ja1rjJ2F9sVgjaDe0bYbvHcYMZj6CEXw7hGzega1xfsGpWXdwnbbMrOj9MARRvKAw/ufjfTs9STVyMWRtLwTa/waqLz2QQH3hDFKinrgarguRMnnAD+TkSQJ7yPwuu+hj03yXkKWmxyfRUgvXFBQUFBQUFBwrdHHCUiv2bns34HxJTtnh211mM7XENrqts1Hhl3aRR8SLMN4IsPdVcVjBFqvqM8JHc9MPHNR8A329pLnbi1pW4exwf1BYhwR1/q4Ax0CcBoj+BZmJmTTmC1mwQtAQCwx5oWnapX5sopxDAAxoC3t5iFUC5gvILp8CIIRH9yENBqKB8yMlMa3N5DZscGSakViemBE8KJddpvp69I3dFkWmx2j+wq21JO47nQGO8ElyKcPk8sTY8+YoBayNpgg6j2OsFOPKnNrmGvIPmMMzKxwMqux1jKrLKiyPDqmbRtWp2fYO7e4feOE+fERVWWDEsHYQGgNDFmPOofBIbM5z9w6odk2tO0WdY7lcolVR+tabixnnK/m3Do5Zrva0DqHqSvmsznnjx6F9Mwa4m/kz9JouqS4GN2SDGRVu8/RJDk2dnkZHU/uH3m3k6s/IkD2uZfsy3rT920AQ3KvGatJckXUan2K2IpZXdOKATNju13RbrccHS2pZ3NsPceHAEXYqg7PmbUYsXjXst0EMs1WNZvNQ7zbMrvxJsTMEWtxPtxD2CX1HJr1fZq2wVPhtKJpGrCbvWoZwXMoNXBHRmXr1Sng0ucd16bwfXj4m+K1gLwK15uiRLkKrgtR8lHgvSJypKoX2fHfFF8/oqofFpH3AV8vIn8mSw/8JcDzwHe8vkMuKCgoKCgoKHhtMTRmdWAMxgK98h+S4/xuO/tNqtDyZODY/LOZ+DzcLd8x6MkcEzoFhOKiGkZUmVmlVqWqDc7Zfrd8qxgbXCuCTe3BgrE2pBqOsnwjwnxW4WLwVySUsVVYF6fKbBniWnjnezVGGhcOZxoa5tGlIczbGBvdR/anW+5jFuRuFkmCn2JaRPeCrF4QKFyS7rfzbRmSJZMqkk7aIen/AzxpPJND9eIs95zryTn1oaQ1BoOQoomk9autwQhcnF+gqixvLrm9tJiqQnC0TYs1npvP3uYX3v9h2nv3uHHrRlAlGaGyFltVwVXKRBIhxqDwxqK6RY1BxfDyg1Mutlve9tY3cXJjyfb8DO+Uk2XF2567jbE14lrceg3qqIyw3jTM53NUE93VLfhosfJ1my6S5r1vjadS82r+Pjbc31vTapXeLaTvY6fEBGGze73jnHtelOyJzkqFa7k9f8B8fsTs5M14TQF1G6rKoG6DrU6Yz4/weLzbsl2do96HoMWmQl2LaItH8aZG2zWosjl7gFRzajtnc/YAbVdhXG6L26xZO+VsvWV583YIBrzdRhXIrkrG6zQx3MfdmTg3uhL9Gvdk0dN2uSl4fXBdiJJvBr4T+Nsi8mcIaYG/CPhG4AdV9SdjuW8iqEm+RUT+PPA24I8D/xj4ttd5zAUFBQUFBQUFrwvGP+y7FJgwMGr2ESS960asl+0M75YbEici/a5m7tIzbSv0O9QDQkEMRhyzSsBJiFNga9QHY62eh51mVPFtA6q4Nhpy1oSUriJo63DOBVcPQwgQmQKxmpixx9igQhHfjQXoSJmqMtC0NK7G2BhVRPJd9N21yxaAtD9tJJEbBjr1iMHghvW7ldxDfHRlhilNJ0mLeJ01XcPgI7B/vBO4KpGyo1LQntAZ3mfxngmSnBik02JtCOBqTLh2lQi3lnO8FY7qBU3Tol45OZrTtkGysmlaNpuWGyI8//a38eDefXS7xW+2bJzQOkdlq3g/JGItpgZuYwYd76hwPPfcLTA1i3lFs1mzXW9o2xYPzKsKYwXnlMZ7iJl5jDGoKnVd5ys2dRF2FFUTKw0Tx8fxfRIZ0j/MoVo6JNG1LcUwSc+VTNSbMuA7pcQoHsqwDHE9symqohMKNBHpWFErFmNmLI4qXLtFN/do3QaPsL14Cd+cEYLjelyzZduEDDiz+RGIoL7BmgoVA3aBqsP7Brdu2TQNVhtUHSLgFFpscLGqQJ3Hty0ibef61a9pWr9EcO5X0qTgzokhmlqvvO0+TMnh7EavBUp64KeLa0GUqOp3iciXAv8B8OeAE+ADwH8O/Kms3A+LyFcAfwT4HuARIVPON+ogBHZBQUFBQUFBwTVGsojGhycN3Kv9mB4b6UNJ+ZAkmBKq9HE0dGgD6u4IPB5UqY2wjSFGZjMbDFEbgm+KtYj2qY37sQXiwsyC7N5YQ9KEtCKId9i6YjavCfL0MB5jTYxnYjpZvABSVVhjuj1hYw21b3EaDGPnY1yKfE69BGUvseAJO/3GO1QMPo7SZOqLfXX3BeYduwHs1NXMUN2DJ00dvK+tnQHslgI8YsL8q0pYLBfBvcZLUAd5YV5XLCoLMbjr0cmcxkMtFaINznlEwbct67NH3Lh5h5Ojt/Do/n1cs6YxFlycUyudMQ8hRor3HnWeSluc27JcLFgsF2xilhsrINZSC0F9IiYoWRZzVus1BjhazENaazGRJMimqPns98UcicgDvU6vbPavn7yewvD6JTImjxeUBqV9Y9O9je6nXUWZjc98CgQ7HFOnVomfjRgaPKcPP8Zmu2a+OAYU7w1eaxrX0K4u8KdnSFVjqwW2qmi94dHpOcZsu/5n8zmzmYbn0Dnq+YzGKZvtKXVdYdJaR7cgD1S2Zn1xhhEwxnYDVDQLGxRTgu9Dun+kX8D+cmn3uSNSurUiO/50UYK5Pl1cC6IEQFV/EPjBK5T7fuD7n/6ICgoKCgoKCgreKEwYyOnM1E6mZL/3d2vnzQS3lGzXtCdQrjqqjNiIbQ7Go4r3GvzrVakkqAvEhuCqIhXeBEtPup38YOyoelQqPMR4BmFgTj14j1SWuppFIYXiXHDL6WJWiIvGj+kMS6oZXsIOdFCECKaaYQnGsADO+TCnNI0dfkBDnA3JHFC69TLJaYFcW7CPIDlEXDwuqbGv/LifQ4byoffj+sPO8/7CP2JCGuj5vEYBa00gQFBm1mDEU9chlO+qDde4toKZCXiPb5W5rTBYxHnOHpyyPjtHjhy+mtOTD5IFOQ33m6pH1FP5louLNduLFdWzdxCFygqmssEVI5JaTfRbUq9YMcys52Qx52LbMJ/XAyXVzvpm/3bKjt2LkK2VDO6pMIWkJumfq/wJHpNmg75jop9ktedk46FrtpeAiy0P4nns9Jvqhj+vnu1mxWa9Cs+GV9pmi6nmaNsgEjJb2cqh/hzwuKbBiMGZEHvIe6VxG1brNpxvG8x2Tl3NaDYN2/WGoC5rEQmphqt6Rus8frvGWDvxvaXZ3/R69Aq93blKuBX3rp3mrFRRlFxrXBuipKCgoKCgoKCgoEduNvVH6EiT7vd6poLoflZP2W0wMghkfHbYz7h+bnxLP7rkHpCXq+Y3aXQeiAz1OAW3BZ/SnGpveCE2G5cBnXWSFu3Yn6o71lMRHqj7ZVFQ6tGYFLbhVV1QlSDSu+sgGGO4uLhgu9kwny/27hSPr0caRzCoXb+McnXj6aqKj67cpFGYj3Aaj0OQHBwHaR3Stcval7CWijCbzamM5e4zd3nhhReYiXBSGYwN8UusjYE41YOvqeoKG4P12soixuB8y8PTR5xfbKhtzfIYsHHNjXRZTVIMD+/Bec+jsw2b9RrjW9rmBGMrUqYigwFjMPE+WluLnc2xlWW9WTMXgcpS1dUBsjFn02T0eWeh4ueMWtF+zEwZ39llnnIZSa44fYP7FUtTmFKUSXooOxXNbv38flc1PHjllLZpIsEZiBKvGtUpmmVK6tU1adyaxpERwInxUM5ysRBAjDVCUKBFdYkA1XzOm9/+5tG9m38/DOed1CGD2Wkie8OHoYKkV5YM1+ygqKvgmqAQJQUFBQUFBQUF1wlBnjD8MS/5iw4NjM5goychJDUzjGPQpdpNNllnYMRd+j3qkr0xNRibVIIxFfP5MVU1p23bqPqgU3qMJxU2xXvDL28v37kfjDPWnzQHTSiWOBaJXanE2B6dg0wkSqxleXSMiOkMsh2k+WfElKghj94Cikgv9T+8e89kuasQFsG9YHBDjIb6FEw46c1OUTADuzSpO4JRaUwfA+fhw4cAzCvLzBqqdO20ZVabQGKIIJXBWoOtFJEYG0MMb3rH27h3sYH5cSRQgoIgxRIR1f49ghPQm7c4ms84qYWqrqKSSGKwYOkkERahnhEUJt5Qocydp7YWUcmM42RIK5rf8B25QC906ZCe0fFTGp/NnNzM7/mOJJkmSMb3yL7YG+N64TIdoH607cofIlkMIb7QfHnC8c030TTr6KqTtyVo/P4yOZ/T8SWaPZT9U6w69X0yTeyGS2g4vnmHZ9701kB8dc97/AINoxm5RHULQ5fSPPjR7PQ8XqPheoV3+/PpvDZ48qw3BVdBIUoKCgoKCgoKCq4R8vwiY9PmMsFC2Knt3w9+4Hdy82RIZFZ/Z6xMG1RTRn8yeJLQIRmws/mM2axGNcYqGVgTWYWoEBkOMx9PNEgkN6ASRRJ31SeIBZ/iQwzmqKwu1my2DmstJycnzGaz4CpiK2azGmuyceRLQ3RJyI+Jj8qANIXpK3YZabFjxMZh781alF/gK+Jx45RMue0kdc708mjIZuIVb5SZDWoM5x3b1RYB6tpiTBh6CPRao94j1SywLiIoHmN7A/fs4oLz03Pk5m2quqKqqu66S1KveN+PSRQxBu8d3ldcXJzT1DXLxYzuvovXzAioEcSbmJZacN5hTVRBZEmfkvKjn3tMCbzzTOw+mFO6jIwx2D01Wae/DlPv9+FQANNDmCLsAjERCSZrObl5m2o2p2m2eBfc3QQZBVUdDyhjMEOraWBJe8L4Wyt8r9i4ZDGocxyjiGCritlsgcSb60p3+VgdMrmuwv60wpHMu/wSvGoU15uni0KUFBQUFBQUFBRcI6QwpLk0fd9v8k6Gn1muu/qLXZts2Oo4002/I3soC0ueGQeJGWckZKJJZnXa4R0YPl15GRlJ0seFyHeiu132A8jsLDU9mZLOee8J4UwcJzduMJ/PMSb01bYh+8pQJrGLbiwZMXJplprxMDNiZCrODCg/vn44SZR8/9/4Lj7087/Eh37+F3n5hRd55s3P8V/9tT830cfugbQi42bzfrpMRZ3aKFMCBI0Hz+spAO9ZxkqZ64hXxXjduXazqmJWmaj0icoIY9G2Bd8gZhaukRLSKAs0bcu2ATNbYo+OqasqGMOEQKLdIE1S9UgXj9irpfFKqxe41tG0LgRyjTFpFMV5wXnYtg5cS0/M+ZiRyUAkx5K9nPRIOWEU5n5VJcL4mveERLqndFwluzaH+jqkJHmcsofu4eQuVNd1SNM9X+CdCwTZ4KJ3NUg6je7+G85qcFQT65h4JBTXes7PVqj3HB2fcHR8THKjEhSvDiuKqSwpVfew94yLjYPRqCYRkfDck0Ql/fueON4lUTSSZuMgr08DJZjr00UhSgoKCgoKCgoKrgF6I2X4Yz+RDQPhQjqvmTGQbNTst3UiUob2T5/ys1dEmIGaZHdH+dAP9rAjn4Jr3r31scz6GQxmomYaibmSSZCPw6cGDo8sDEM9R4sGvCDmAYLBVmGnunUtVWWZ1RU5udK1oWH1tbfool0esnCEtfJXc5tJMSZGxumg7kCu0eO7/odv4fjGCe/8tE/m4vx8PNGpycf2u973FMzHl73v2knKnhEFlxuR8dVaS+tb1ps13jsEODmaM6+gqqoQdNdryFAk0G5WWBQ7W+DVEDL1CqYy+Mpgj28yWywDcUF/PZNyoVMXpDtJBKMC8znm1m3ai0e0vgE8BsErOFW8+OCGpi7JJahE8DG5c4h50hv6nZpkgqg4lNloJw5QIqJ0WC5NptObZETaVZUgOZ7U/Sp38UlDzoVfEFRjZjYL0YDSGNME8u+uzJ0ub3vcXygSv7xU8i8FWu9QF87P53PU+RgA2rFebzg+OsJWMmp3mNI4rCcQU0l3cVI6Um9MRU+TH+Ga+KyI8jjxiB4XypMrSl4HscuvCBSipKCgoKCgoKDgGiAZDSmDy47xTE98dAqNCVHC1G63IJO/6ffbUzmRsiND2PdhdEgOdTAqPjTirxJkdBwfJL0f7Nl3ZIRlMZNRLwG2Cjvkh/roRfghxovR3jdjanz7xpwboeMsHGH0fb0L71ir66b4h/7in+LuW9+EAH/m//YfsFmvecVvya/4WIkyVIywa0HlLj/DN53CJdVZGNud6uNzhrsxFwOoh81mC6rUdUVtTFB0zKoQcVWUyhp0VrN9tKHdnlEdKWa+wDkFDEezipOTY5p6SWVDcNekAFI/3Gfv3HE6Zshi5xZmNcxrdHNBuz6n1ZbWS7iWcdxWDKYO6aS9cxgNeZBMNtd9eBL3l25hO9ItX+uee5q6N/YjKbGi2kUPpMQdtXkVQjQd+sBPvdANeA+VQM8EsVtuzLjsja/SB6tVr7Sti0UfDUg/75V79iFVlflJTYwsuGfl/YZ/4mp1cxyQhHsIscErh+O5FHzioxAlBQUFBQUFBQXXBIEIYceISOjigpDZWMnoSf+qwNjeGUjIp9vNYy2M7aVx1pWBKSRC6+aw7WYRx9W/3z0+RjCyJCu3W+SAbOLQ4XGRsZuB7hNkCN4tegJAFEFj+Ios/fBj7t/udXXQ0EdqdqUt913TDVnedJv7bgsIjpBh5F4bYoAMhpJzHQdJreFq78R6yeemcLeqB/fdgJ6JVb33qJiwWy/CYjbDoIixVGJCKmAR5kcLaj9ju9nSbBrqm7dZnNzk/OwRm4s1F5sGc2SZz+dB7WEtIiGVNNYGItHnKp4JAx8w8zkXq3NatTgX3H9msxrvPc12TTWrqWuL9w1bdViRfY/eQVxmMA/JscQyjRt5/H77itPPweO44ExiROCMDne9p2NKYsx0UC4IN8aE65CdGBA2REWNEeqq6ogwze5KS06W7sxuZ7Rp6WU0n3Ew5fHxfbFhcpfCp4USo+TpohAlBQUFBQUFBQXXCLn8vjtmolGRpOKqnYGsI2NY9thi0+4BdPFJxhlwdgbFRHvR2GndHOfn+SjygpnEfWgv9X0mF5bw/qrIM4EM5iV5RyNVRdZvFxQ2G/NO7111jyhdHI3YE11q4MfAQTedieUPh9KJ3Li8rKPdtvKK/QrJuOlsZeJn3SmSdZPiawQCx3vPcrFkURlqIyxnNTNbMa+EuqqxdY1BWJ4cUy0czz7/Dk7u3ME1jtXqAte02HrWTQGCMsCI9FluqqojHnr3MR24jxg749Z8iXcuxB4xof52teLexz9MVdcY41EP1lZU6tHWjYKSTisfHidI7i4pMbow+mqDg/rUzBONZ18mncXxHN6UCu0nVzKNG13aqZG6ZFh+Z0Cju22qUL72sbcBkZMqeGZH9aDc5BjG3R1cPGXosvj6KEkKUfJ0UYiSgoKCgoKCgoJrhBSVZDI2gYQSowPD+iNBiXQ2y65UfNrOS1TBUJZx2W/2sbJ+0EG0sKdJEuiN3XEDniniZCf7Tt7SHpJkH3JSZ4qiSZEqbPI3ie4N0+PtxxSIpN6AHAdOnRxLVO2MjcZPnZ2khtlsttQIHuGd5ohkwPmUhdl72taz3WzYbDaAwXuPiXE+6lnNbDajriusDdlojDEYY1H1QS0jQtM2zOYVP796NJrllAUbAmN6UZxrUZTjoyXabJjVNfNZzWxuqauKqqoxYvBGqI9mGF8xXy7xrcN7R1VV2Go2WEs0aAm8c0FVAgyVAPFKJZLEhICv6mNKX2sj+eExYqkXCxbLk5BlR1uapgGxiLVYsSFgbE9Z7r9W+Rj3nNuP/t54NXb32E0nb2tfHJyecAhqHBG/UwdgcVSziKRDGPE+pVuYR/jz8UsoC7qbl91DPOWHLydkBgcBn9Xp3cHG7fVRZ+KnK5Il8RbsIeMDTweFKHm6KERJQUFBQUFBQcF1QmabDUkS2Tk/LtcbBBkGypKr/rjvDazdTnu8dP/XTMY5GMvod9tj4nNP0PSGnUc1y4ZzCdkgIrRMx12QvM7UMR0RJZEIUfGEYKAmE9un8e1Zz0h2ZKb0YOy7QV11+vp25UPw0dXFeuekqrLZtJydXeC9slqt2Wxamqbl/PwcNARZrSrb3R/1rKauK46PF9y4ccxiMccagxjLfF51qpCUFSQNq38zVlwEksKrp2lajDHU8wWmqjHzKsQLsSFdtAca76nrGZiK+ugWxlY0TUvbNjjvCfdAl88mW9eoFInKkhxefefyE1LVDGVQyUPHoxhrWd64xWb1CFWDqWaQgrcqwX1oaLkP5nyZomCv2mTSzr/aM3mZgmXKdWT8HOwjSnfDh1x1TIPWGKtkID0H0r2/vM0nIUkGBw62F70Xw4glkSCXj2voKTShgHkKKFlvni4KUVJQUFBQUFBQcA3QuZFkn6eNo6HufF8wxpw0SUaiqu8M+LT7vGt7pZ1603nMPG6cg6tmAhl+9tnxsKM/TMGZG8YpgOiu1mGg3AiNARJrhwl77UkM0d11S3Evkjon8CEGJMnvDVMuN+NYLwNyJDMYd8ompZCO5xPm7r2nbVpWqwvq+aKr49Vx9uiCV15+SNM61psW5z3bdcO2Cdlebt9YcHIywymcnq44P9+AMRwvj9luW7aNC6qPRc3NGyfM53VcF+1G0O3Bd+5fcQhdfJD+oLGw3Wy4OF9hDdSzCuMsOptRW4PH4V0LztK0yrye03pH0zY0bZvpOOJ9aky3TsYYEMFaG7QLMU4JIog12E7EEO4d74NSyZig6PEaTM+qqmB5xNnZI4y2eIXGC15jsFcxg2s1vsaHr/t0+X3thXuSnWt/GaaepRxXUbV0WVwYkh6f9YWfsrfP/Z+TCscR3KB68nbKrWf8eUrxdqhsfEcIXpu+G9xOO4NYI5EJS09/Ccb6qxuFKCkoKCgoKCgouCZIRl96PzYwurggHDbOUtmBwQCkUBR9m1P1I0lwYCxTu9O7kxl1GH2ArhLboe/a0scGcPEz8dhEZhJVTGd0anQp6NUoIViq78gPQzC8k7loiOsWVThmkkiCy0mSfcfimsto7Tt/qXRu2IZ3nta1ONdSZSlKVxcbzi/WbJqGi4sN63UkSrYNVuBd73iG4+MZTbPl7OKCt7z1Dg8frPjIR17BmBqvM6q6Zbtt8d5xtFhE8YTi0YHKxvfLOhhbgjG9zKlp2zBeDw/OLrh3+ojbt2/y1re+FURYXzxiVlU437K+OGd5dBTJib5551pUlSoGkRVjkBifpG3b4EoTb5SqsljSsxEUBtaaEPeVqI5BgxLFhugr29ZhrcU10DKjmlcYH+btXBslBLtX/n/98L2d5+GjH/4w3/XXv4UPvP/93H/lFZxzPPPcc3z25/8LfPnXfA137t49QLyQP5RMP5OHsVfdMHpGP//5u1ciBy57RqfJIj9SXYxIij1t5K/7iJRpoiV9L6TvCL+3fiCjdPj5kvHsvp8u/9Sgr8L1pvA/V0IhSgoKCgoKCgoKrjkeJwXtvnJh898w5V/fKzfGbjMjNcGefncNKxm8EI3uMIZdd4Bdl5ysXte3dK4u41gMw8EQy6V5hj8xhpQ1I48Y0gd0lY7b6bU4SUFhMjcFzd7387jSDn43twmzWdkhSXL3hc6Glm5k3Lt/ymbd0mw9q3WLek+zDYqNd7/7zdw4mWOtwTuDKjTNltt3jlCEFz72Cq51IJ75vMZaYbVec3LzGCMh5kjucpKFW9kZeHKHwQRVhzWGxXLJ0XLOo7NzQHlw/z6zWc3dO89w65m3slqdY6slvllzcX7G8Y1bVFVN27axTajrOnIhpltjSZySj240kdCQjKgJ5UNME6dtd16iu8752Rlnj84R77DzY24f3QSBs0ePMOSkz/BSTF1iEeH+y6/w4P49/oV/8Tdx99lnsdbyyx/4AD/8fd/Pj/29v89/9d/+t9y6fXvyfhg8IyMiali2P7FfnXIYj2Pc78Y+2a/40AmD/rD6ZJcYmWp7nxIl1si+t3ZJkqxUt6ZT32f7SJzd88NyVyKLXyVKjJKni0KUFBQUFBQUFBRcQ0zJ6q9GUuxrK/0N28/3sK/CvUwTG/vdCjR10m+bX2IAZXXjLnX6HHaOBdUJNclgjB6RFNzTR6PGdSqB4UpoF33E5/yOQIh1YRjHTzk0d01uPeMl6RZaQWXgEpUX2QeRaPBlcUO89zjnWF1sODtbEdbW8UnvfJbl8Yx6NsMIbFjTOs9221LZmpOTGW97/jk+/OGX8eqpqgrnPKvVGtc6TFWFuWcDSkMdjzGRWBp8u0jBVI0qxhrq2lLNK9brLY8enYEKzjuWyyWudahrkfNTrK2YL4+B4GJT13WYrguBc9U5MIYqkh3WCD7GjgmGbU9wiAjG2JDphqoLAmuMoWka1usN4h31bI7UFev1CgRsFVIbuxQYdzDHQJak9xeNY9WEgm/99M/k3/6P/7PBuvz6L4TnP+09/MU/+f/m+773+/htv/urDlzdK2Kf4OSA2mFZW45qu59YJPFx+wtc7m5ksnZ2B7WPJLmMTMmP5S5tfTFlrO4aKFQ6ksRH3nRaxXK17yMhuCrtV8C8tpBXQZQUguUqKERJQUFBQUFBQcE1Qcp6MsVY7I9ZEnCQwAjK8z51cDhL+kEdPD/C5wFBs2+MB5AUF1ED0jeS3E0SWTDxY76fQ1R+7BRJhEVLkNxPrUkeIyHFLwhtiqb6CmLpDS2LIMHVZjx58UyvxDSmQ8r01yEpE/Igs51cQ/v1CoZeb7y970d+jBc+/FGqqubs4Smuafmx7/kBzs/XzI6Oef4z38vRsuZtb71BPbMsl0u8azHG4tRhxNA2DYtbN7n/8AFza3jm2RMe3F/jveIVnPM0TRNcUvzIAE1G585SZKE6FbxX1HuqyjKfz/Bti+Koa8vR8ghVZb1ah8w3vsGK4NcNXk6ZzxfUVRXcnkwgLURCRh6MDbFGRBAjITONhHvAe4cxIa5IF7MEotokuFwZA77VkAkokSTW4BMfpMFFp20drm3xWfyOdD3y+2zVtLxysc2u++79bG/eAeDeg1Pur/qy+RLu3L/p0Zi45fJDu0V0+BJfnzmac1TX9DGAhBRjJ2W9uUqK68OkgMvaHZa9TDWSY4qwmI7DEvoLsYzcxPnuSPdyWXyUQ2PMI/WoTl6agmuIQpQUFBQUFBQUFPwqx9CG25Wcj8mRThExwYlcLRZHf3zoKJDUB/2/+VhyOfshlUr/mhQnOjqfMqfYzi1AcstSUpmeuNj9AD0RA8NgsnkQTJ0klySbQ9f1uHmCETZ0pZgmu/7xD/4ov/jTPzc49w++63sBeO6d7+Ttn/lrgZbZbIatoLYVYi3OOVClMsK22XJ+8Yj5fEazaZlVVQii2jTM5xWbbcvD0/PorjMkCtLydJaiaHYlwhyC+4swm8+w1vDo0SPapuG5Z5/BHSuVtSyWcypbM1/MEea0rWc2m2EkECPVzOBi38ZIzPwR3XtsyoQTCDdjDNYkwiTeVSmES1ItoFgb7gOVkH5YZ4rBslguWG+2NM0KH8mdujY4145i+ey+H16jsArNtmG7WdNuG1766If5wb/x1wD41F//2b371ASmXT2G59G+fiKtkgGf7q1ALAmz2XxwzXbnkAclnh7PPuzG7ehdniBXWTyequGQamXo/pKv4/A5zN+/Fllp8lZy0jLggJ/UawDlyV1vCpFzNRSipKCgoKCgoKDgOmFabAHs7q7uy3izt+nBD/208z5yyYEuAcdUi/vGkN7vkh09O6BoFE/IpGpmyigd9ueyzz7yGvl5RsTJtCGYG3V9vJNxyt5QX6KiJKQp3l2LsXx/HxnSq2my+cVDmilZ8hgo+Tr8u//FN3J2dsp8ccR8ccxLL93j/oMz7t9/xHrd4NqWj3/8nGa74dPf8w6sCaSBJELBGqwzrFdrTm7exB7Pef8HfhnnQnwH5zzq4ex8zWJeU5nhLvq+VQyvQlVXIIJzytHREnDM5ydsNhuqusJvWrZNy9Hxktm85vh4SV3NaJ0DhePj4+4izmZ1VIwE15tk7EuneMrIpS4eTT+q7j7qlFJhDVrfYkSo64q6rpnPZ2ybbbhvs7UO8WzixUyxaw7gOev43//5z/HjP/aP+Ec/8He64ye3bvGFv+PLkdU5v/Tj/wQ03LMhEG0w8r0q6umD0xJSHaNB5RPvVLzz3bXy3g+Ixtw0vnv3Dl/8Jb+V9z+4iEfGiqhcFjT8snl8V5JeRdK3mQdQznp9DGVJ17rkZQPBEz5bgiJml7Ds45ZE0iaRe5fg4Phik13746jGTwlTsV8KXjsUoqSgoKCgoKCg4LphR9mwi8timAxUGrA3+6jmrjCdgbm/7cvcfw4dT2NJRulVA9KO29qdZxXdWaCX4mskVlLJ4GIgYkiZMlJg1RzTyhgQaXfIkn3ETj7Hvs1+p13xvaGf0qjKlNmbjye6tjjfqURCPA3HdrPBO4965exshZGK1WrFanWOEIKi1jO4WK9xHs4entK0hqaJQW41kEUq0DZtSKtrZK+NKQR+IqhmgkHvncfWVUcAnJ2d450yX85p2xYxwqyeUVUVxgR3mrqqqKuK1XrNdrvtFAq1DyoQYwWvLsQb0eR2k4xgh6gN3Ql4H9YoW61u/WwlIU6JeipjcCjL2QynHsRQzyqsmePakGnH23p30jv3hEaCyfHiKx/nQx/6MHZ5g8/5wt+Ga1sePbjHSx/5ZT760Y9T3bgbU1LHwMEa1h2fxdEQurTVKaZQirmiPl7rjAQwpOC2IZBuUtlsN03I2jNB8kyrNrp3l8534mh2LhEy6W/3O+SqZMnQxWZcR4C2V9cMyFrfuVFNKUr2qXb2ja//bpwYsz4JsfR48CXWyFNFIUoKCgoKCgoKCq4J+h/90/FILiMXxj/cc5VDp88ftNWXMxPkzGXERz6mxyU99s0tn+MhBc0QKWbBlJvRmOBJaYPzneoU14TRGNIOdkd9wCHjRehVM/uUN5lh3DkgTXneZIZgDh8VBem4V4177Z66tszrinsvvszRyYLZrGK5XPDo0RlN2zBfLNhuGi5OH7B6cIqV22AqvPoBseDVg7Ej27lXPCQ1THgPqoGEEO9xPigfHj26oJ7NODKWqqo5OjpmuVxyfHxEXVegynw+xzlHZS3Oh7gzy8UCAGNNUJUYQowSDXFG4iDx3kN09fGRSEjrlxQiEJQkRpRN0yAIjWuoq5rWe5zTSDqFiVRV1ZEf+bT3QVVpmwZpGwBmy2PuLI4QgWff/g6ee/s7+Sc/8L041/Kuz3hvRzypAi6oRpIqwqfFJGYQkhDMMxEnQcSQZW2ypuc301xFcN7TtE1QE5l4vYbUG+FZ8SQXtU59wfRzuX/+aYFykiQ/vp+cSMfG2WMuJx/SOHuSJz2jaZ7aPzx7n6ND4wodBDJQ8wO5u83rICopWW+eLvbpDQsKCgoKCgoKCj7B0Bkpst9gubpsfZS+UodZGsbtexkZGI85Zh21f9lYx+X3xzgZEg3TZEnKkDOdTWO3Xz8q1xt7faadfHd8D0YEh2SHdtciW1bpSyb6JM4iFhruiPdCn2AdevU4VWwVXGqMEQzCzFhuosgr97C+Zb6YU8/mzGYL2ralaRqOZhUf/8UPc9M7nl94aNsuEKoxUZajwejWLO1qv1IZyZSd07S28dxiWXN8tGSxWDCb1SwWs5CG2BiMCMYYiHFHxBiqqmZW16gqtrKYmOI3zCzGP5Hh2qkPKhv1ivMuuKioR9Xjo5rISCAFrLXYyjKbzRATCAVioNhEPgUCikDQkE9TuwuY7psUtDYRVc6nuDhhDVWVG3fucuPOXT7yCz8Xr10MdqupbujTtS2+3eJdg3cNrQuqENe2tK2jaVtc6kvpXHHCmDUe93EcLc657P7Jb7zRfdjd90ySnfvIjV3sc+/Jn6/+3D51Sk/W9G2oDp/p8ee8xzS/wRBGY87rH/qe6BVf2bGBnGxv1YJrgqIoKSgoKCgoKCi4JugIgWgMTZEC+wKe7hAjTJEKo8+aH44y/d7Sn2xjyvXlsdQk2ptw0xktxsWnyZdDxMrjjqtX1/QxUMbqlJ32Uqaa5L7TSUPi+AaGViJ5utaydoSB3w27PNWOi1AkU6wxzCrDOpJcJ8bxnjc/gzZbHt07xdy4wUu//GE+/KGPcudtb8Gqcu8DH+Qdt+/wtrt3OFosqKqG+x6qylJVIShql30pjnVfrAQfpyvEGCBNcImwlWWxWLBYLDFVyDrj1UfXGXp3EQGJQVyd95wcL9luG9arNYvljMpa1Leo1qEfYwb3p0ogSLxzGGuj4kRRH1ysRMC7htV6hbGW+WyGMzaoUeIiV9biYkadpmmi65TPru0+6ODx6Y37jNBT8K2jiW5FgcRxqPegaQwewWNjXY/Bq0TiI6Rdzu+7QGAJplP0BNmDR6isCX14ZfgwkxGl+5+zq2S0ik0R3NfSnMf1w7xCuRiAV1ymNFHAjr6zEmljM7XLYYzJ47CCSWIz1NFcRjCPyZhD/e22/nRQYpQ8XRSipKCgoKCgoKDgmmDgnrEHe+NijNQZO4TGyN9+3OahGCRXNaAm5zIa4yAHzhUMkn3j2mfYTRFGl419av0CQbBH2RNl+SGsi3Yih85Mlj7eREaZhPOdDRtjVnTl+jK7Y+wrOlVmJrilJLeNo+MFG+94191jbNuyWm+4fbTk4hc+RHP/Ic85x2y7ZdtsOXGeuzduoa2n3XqeP1lwsfGDeBfGBneWKF/YJQwSR9QNVhAxWBsSLddVTTs7op7NsDaoLbx3WDFUtuoULN6HfjFCJRWbzYbj42O8b9lsNxgzR1Vp3SbEltEaghAluk8FY90YO1rp8OqcY71aoepZHh1hjAnXJRI0wb3F4VWxmKByIcuqMjX33avD+dlZ129wvQqV7n38Bc5OH3D72TcFlYd61Ke/BoMyM0od59Q4ZauKERsiccSBeE1kg/QuOtLPNSh0QKLSxatHxUzooaYzN3UzOUBC9hDGTgv54xZS9qa2897z4+lcXi6mFdf96binXXQiU4eGmC/p/UgxkgdePtzenv7St3I69jooSorrzdNFIUoKCgoKCgoKCq4ZHkehsU9ZMVQ/pB/9493fuAebKSGYiI8ypeo4FNB1iqjpzodCe8c+nttVCJGrjPWgOmRiDvvR7153u/adQZ3y2/RrO646Eo/Eyewfx85QVLHWMJvPWG8a6uiucjyfc/doSbtasd1uWM7nzJznxrymljl6+ggnAjdOmM3nXJxdMF8uwQp1HRQVxkRjMh+T0BMme+C9st1usMYEtYNNBEZwDVIf3EeS24lzDmttCECLUtc11tSd20pdh2CqbROCwNrKknybRJLaotMqhMCzuWIiEj5tJCdOTm5grWG7bYKahKBgwYe+vQ9GtojBexdjnMiO80gvZsmpTOF7/6fv4MUXXuLWc29mfnSMd45H917h47/8Aaqq4t2/7nNJ7jaintq0zGeG2ghHtcVaobaWRxdrHq5aNs0GLzYSI8lNSGIQ3DBrl+5rQmhgqyZequCK4/PxxnGm1342uu/WeyzsKJ4GSH0NidPe5Wf8vO1P+Tv9Hogud0SiJf8221f/KgqTYb2+1cchYl8NiqLk6aIQJQUFBQUFBQUF1wRXUXZMKSCu0l4ySHbcc/rSXbnB0X2Exx6y46qqj8vK5H1Mlb2Km82gPMlU3E1hvE+lM/6saee7k/f3CqCruBGlGp2ZOqGcyUY//OiJEg6PMYZbN09YrTbUtcE5gzmacdqsWNiGTbtGzU3Ozx4FQ9oI4hVjDYhBFvDg0ctQrXA3nsVXNxABG31IalsBLiODcphudB2JEGO+tG2LIrRtCJBa2RprKqqZUFem91GJpAHG0LQtIFRWotIEUKWu5ri2z/thTCK7fCBYFLwkdUhP9hnpr693LUfHxxhjcG1w0RGT5D+BaqmsResYILdpcC7GryCRQ7v34Bi/9nM+mwc//Pf42C+9n2azBhEWR8e87d2fxvOf9hnMlwtQj8FjteHIwp3jGZWtWdQVzjlW2y1GDEeVoWlaWtdSWYOtKs58iouSKZjifWyMwUogUAIJ5WP6YBuvk6JR8uTEIQoGwYslxRYx2r8f3KuTSrV0MybXm0SC5ATI+NnqSZFExO6uZVKqDNP+pnKPoxTTOO+c2Nrtj73HpjAkneIRfbrhQIui5OmiECUFBQUFBQUFBdcAnTHQGWhD5IbCY+9oZlbtVAyOYZyA5NqQKl/dGLgKsSO5ACOLv7BD4FxBsTLuB+nb7dvQQX+9uqZvb9xfPu6+jd6VZur6TJE1yajtVSaTOpO99XcLgRgTU+1W3LlzEwB/7yGubfC2ZbM6o9ms8a1HjKHZrEMAVWPw2xZjK9qm4ez8lPm8xd64Q2UtJgZUnc8t9cyibdIk7FEFZZ8EwbugLLFWsMZQx6CplTUcL4+oKoOxBh/VJJLcb5xHVfDWU1VVXIuodjCG9fqCehbUJiErTYjRkdQlRiCkgbbd2IQQ1LRpGuqqwtPifUwNrIpzLWIM1gSlirXxypp+rlOP2FCRESHw3s/5bFqz4Gy1DaFHsvM+qlpElYU4ljPhTbdOuHPzmPligRFCoN3Nhhcfrmiac2YiYOG4MtjacNG2tDH9MRqIjxAL15BSDjvvEQPqK7wq9//ZxzAiNPOKi3kNCPO7R4Q70ZDisGy2G/6ff+w/5KV7L/Mvf8Fv49/46m/YucKTi4HJdCnpC0ZHxaUbc99Ursgak1DCZ37BOyf6GiG51+SHOte++N0W/eM6T5mJ75ep75J95V4vFUnB64e9RImIXOEuPIgXVHX7KtsoKCgoKCgoKCjIEH7g9z/O9xEJCfsIhgGRABPGfdRYdIzJ2Gi5mgvQodghY2JnGOwxmlh77I8xUREbGCoxpCcghpMl2md9CuQk0ZdMCZJIjMBNJTM4xpnISaQn3NjtjbF+dUWJqV6H16o32DIqRYQ+6GfWBgYRYblcsFqvmS9qNhceY1znGDSzluXxDWxVod7hm5DCtl7MQ8YVF9fTVtgYyPXkxpLFosYYIUuQOzGx/kU0/G230SyQGjGCURMy8VhLXVdYY7C2dx9xLgXOja4kzuG9x5gquNL4Pp5HyMjTx+mQbBiaFhXfkScArlWsrWkbh9JirMEa02WKqUxMgxwX1VYW6/w0YTVwPdLupbsNB/e7dPeki5ltUMWgVOpY1jOeu3uLk9s3saYCgaZpqaoLbjnPw4s1UlmORJnNDBdNG5QwYrtnVVI/STnjA3kiSsj+k8abTUO6AzFAbDz5bd/3HTw672Os9LFENJM/TTwA2jsn9SRgT4aG9ehu9H4d82u3c3w6gKsMvsByLVMnUDpAZAzVLYcIj0OKk+k4Rk8Xv5q5mdeDqzikKPkAk3z4lfGlwA+/ivoFBQUFBQUFBQUj6MAo649d5sJyhZZ32spVJcO2okEVWYSrBHM95E4zJZvXzMDqPkfiIy/akR2SSqX3sXbHPOxMtZ9LN08ZGHOdQqCPStqNa8c+1DgIGY497cx3gVn3rkMipnbtzr3qGfp0u0lpJIRgqyJQV4Y7d25hxPDyCy+hbFEX0ht7ddRVhbo5rW/wm223xsaEv8rYkJ5XYLGcYaywXNSo9oFEd5ZVI9mUnTbG4H3K2OQxElxprBFsXeOdj2l6pXPRcc5jq4q2Da4itgrBab3vKZpts8G5FkUH8TniMMI1kbQ+HoPpbmpVj/MOU9cYkT7IqQ/Xy3uPmCoa2UJKLd3dHANdyA7v0B2VrnwYVMjuY6JR7sIxrxhpUYGj+YzlYkldL3oVjAO1NSfLJW9/zvCRlx6w3W652HhWTcO8MjiFbc/RhDYJsUuUkA0HBe88zvVr2F40XDwK9uJDF9eMcM0/9LEP8X1/92/zVV/8VXz7D30761XD/ZfOkBhQVQ2Iz/iSwcxNGsnoBhl/zNUa2WftSdL5cc18We+sLt1V6InRrkkdPn/jIYwDYu8jPMbH9rn4JBIsuQflbT4t+Ik77lcRPsBT5iouc735LuAnHrPTY+APPmadgoKCgoKCgoKCJ8BlMTyuci7xCONfnSm+w/h4sDV7/cK+eCR9O1cnUoZxQ/o4AhObzoPxJEst2LAyNJq6MSSSqd9xH5hrmftPtyiyazRNzmnQX0h5e5W5j2bSMzQyVJLksVSS+Zk4M5cGMGYoBKrKcPPmMca31KcN99abaPx7GqeINaAGM5/jthuMNXEKBucdtQgnJ0vu3L4RAsMCYkL2kKnsS6MRACHDj/EeNYKqpa5rmnYL4mmbbSBlxKDe02le4uSsNRgTX0VxbkvbKNZa2rbBGIsV09XpRQ45wSWdRmKwnhrishhjMD7STsagGjLlqBICzTZbKluhGggZTwiI2pFbQO7G0S1/ZPBSBp+kWEgESVobRalNIGuWx0fMj28wmx9hTI1YQ7vY4gWsazhZKM/eOubDH9+waVoEg5HQDhqJvji31kWljISUuiKCU49zbTfGdtXgz4Ka6LSNNw1BsfOX/uZf5tPf8el86ps+HYBm1XD68tngVh+QI0p3D0pGViRKr6+YlCtjhYj27WhMH6zKTT1mcTSbIB6Gd1tPVsRrr/nx7HV0j009ofvcGC+LYxKWPhBxTxslmOvT5SouI0r+J1X964/Ts4g8A/yhx6lTUFBQUFBQUFBwOXoDj8lf9/vjYBxWm+y4KhzEcN84fT6YyeYSOfsOGZDv3na6jmnzLK8nRBIHHZIlmVEv2b87O9GjmU2d2hcDZWcu0BnP+1QkXdDXQSfT80tuFeNdeEEG9ZVkjPdlrLXcuX3M9hzWqw01M0QE7xxeQSqLkTm+bTBicDG3sXOeeQ31rSOsMaC+Y6zUJ2JgZISObqKgbvCICWlxRYS6/v+z9+fRmmzpWR/4e/eO4RvOOXky8+bNW7fqqqoklSRKJQYxGNBCLSQzGIMXGLMwCzCNwXQ3tmE10EzNDDYGt1nqZnnCC5YxYGCZZuoFEqJBzAIkGjTg0qyabt0hb2aePOebImLv/fYfe8fwTedk3sqsokrxSHm/74vYsWPHjqHO+8TzPm9G0EDwDuctWbCRTkgpNQB5XoAYssyQZZY8t3jXxPk0BudcIj5S/yFJYQBNxAT06VmROEnzbgw2s7hEGBgEjWYmXYAbfB/oiliqpsEPlrWnbiCA6K+qnQBdkkIjqn4SydI36o6pacCbjBqhMBmSZ6yritc/9TrqGyBgGsesLMmzDFc5PJET8MSxt1SRiQNPx2M70kaDdnOzW9MmUUmIGP7e9/x93r54m1/1s3/VVkAuW+23YYSuz07lpR0tOdA/tWeJveu5JfHihXkDwbr3Jf3Q/fuk73+fAFH2l127350+Rp+SzxleKFdxHVHyPwLf/yw7TlinbT/1LrYdMWLEiBEjRowYcQBPow552uowB9sNg9u9IOJwSsixfdxEmDxLhYo9tEoLhn20b/Y7+UgfoEk6Cm1JhQEJ0UW5g+4HviFxZ0NlQnscB+ZCd8mimxUlh/iu3ZSk4XGHndC29V/YpnViMNxlPqTjVB9AA2WRg7MgKUVHBTUGV60xNsMHj5jYd2YtTd1QChjbBoImKS1uEv7HOVfRpPRpFR3Rm8P7EAmTELAmmokaY5PpqCBJ0ZFlNlaqARCDoH0J3BAoiiJd+321HSMGF6JJqrXRu6PjzSSmJRlryfI8KkRa4kIEwUY/FPU0ybclpiMJ3mlKA+orurTTL/1hb39C9GSRdF7SsQSNlX2ioqS9djxGlLfffkA1X3Lnzl0uHz3kZFaSFycsF0uQhqaqOJ1PeWuxxms01dWU3qSAGEuQZKeq0qWsGRMJmyHhM9RkzN9TYo3h4ZMLvuVffDO/4Gf+PD7wZfd5+9E7ABRzw9l7snjtiCRFk6bzmsig0Bsbt4oQRaFV1KTlwYd0zG2qU1TaSDcmYfm27871QVXIgG8aXHVbkz8kMA4+c/buoSNkyjV9PJfn2jNCefdVb75A6JwXzlUcJUpU9f/yLnaMqq6Ad7XtiBEjRowYMWLEiOvRvSntOIFtNcMz9zeI+veCjjYAPKh4uJ6UOZaOc914r0vh2Q5A2nBKDkSo7aqe4Okna0BOSD+eY0RS3IsOMzjYUqoM9teZusr2u/pDx7StDJItOcKxNKS9HR6E9oFpG/jHiIoghhA83nsKW4KAsUJQg29c9K3wHnWeYAQjhizLMBoVKYTBWFT7Y96B7C5Kaol21BoUUcUIZFlGUE8IDtEMVztQsDZHRBNhEcizAhdix8ZaEGjqmjzLmUwmiAz8SVKEbgyE0KfcdBd3CvCF6J3inEtlh6MJqkpr1isURfJj8Y6QyuqiUDfR3wXaFKTBJdeehsEUGOJ8tnOniTQYXBC4xuN8YLNpuHVrxurJAlNvqJqGYEseP3rCYrHg7q1TrAizImdqDR4ls5YnjSN011OqSCT9tWqMYJOnSOdRMlC1OOdYbZbMyxl/9q/9WV46v8vX/+SfgWsaght4bqR/Pk110Oh/ojIgXzTEaj5BsTZDCQNiUzuflPb+isSJQwalg9XkbPsxtf5D2hFTwzlu77+DZtXXEBjd8mdkD64jUz5b+NEsYPlscBVjeeARI0aMGDFixIjPAwwVI+0b6OG6Q9Lv60iK3fX7f+QPQ5GeSNnu8mZi5mmUMIeCmkOffZuWW+hoI9ovXbpOz43ElA6NFMkex7GzbxkE0jr0YWn772T6g/ns6Jf9VJtrIXtfUlC/tah7C9/5guigXToqSeNvt4tKDdv1EUIgOId3HlNanAawllBHVxDvHMbELl3tMAIYyGdTMmu7ALkbkOx97UZ7KH6L5yAqB4qiwBhJ/hmGLM9S9Z2ANYZiOsH7QPA1WW7xweNDNKdt1SA2ywhB4yClv5aE6A9jxWKM3aL0xJitYzBioo+HMYm4ii2NTWV1NXTzqD7dM1YQ3yaRKLsGP4eCV02KlAGPsvUJSuWBEFOjbp068lxYL1ZkRU5Z5EzznJfOb0Gz4fLxFU1VU2aWynluzydcXSzYMhFOF0yccx9LPItgsjb1ZjjAtEyVf/7d38FHf/h7+W3/8W/C2qzzVgHQEFhePaHabPDBM5lOKadzsqzAGjNQkwjW5pAuP00qIVXwrnPUiWoaDRgTjXoRxYhJapOAC6Ej2QZXUkcEDrivwaHsExeHVCXbRNX+OWvbHHpGHiNEtitTvXiMHiUvFu+aKBGR9wG/HHgN+DTwF1X1h57XwEaMGDFixIgRI0b0OPZH+25Fht31z7AHure5e4QIbBMn28aV714Zsn1cR41Sd9r18vtD1Ec/plbqv6XGPyKG2e9bEvHCVgB6bEytH0lcZvbGtjsnbXqPtukRbYDbthmkGESCpD+ebnpawqQjSIZ9t54iiQCysfStdx5KQ/TxiPsIKFJE41BvLU0T0n4M+XTepVGYxKS0mUVhixRRhiTJkMIKPqBZf+x5nuOcIwRlMinIbIaxlnwyiQRKIquyPMfarFOL2ESUqCpV1QCCcwFjo9nrkCQbcEYobdWXnj0TJPp4tKoFERCDgb78cBpvllk26w3BBybTkqquYxrN4HLaJYu2gmUhGngMICIDEkIJCkWe8drtU6ZlicGwbAJeLLNbt/CNIzQN61Usk+x86+ViCEAT+tH011j/TyASGZbOB2Y4Wohk2V/6lr/MV33ZR7h1dsaji0fUzvHw8UMA3nrr0/zDf/D/ZVIUzIuCrCiYnJzx2ge/nPnJrU41IkaIJXFiv8ZYTDKrNcYmzxoTFUwtuZLOjzESlTGqqPeotShhiwxN0pLu/tEhW9cRVvvPvz1foevIk4QQwtZz6UZlymcRI1FyHM+Dq3hXRImIfC3wzcA7xPyeXwr8HhH5Rar6Te+mzxEjRowYMWLEiBHXY5gmcxMJ8VSmqgNlwvY67YNtINZYMdClsvTBumxVWjFHA5TPpCLOsXbHFDPD7bYbPMv+t7USPfGhW6v21C4kZYIM17UeG/uEzzEDW6HfjaTTHtpUGraKrmLaVIg2MG0DY03VUCQSPSG9WW+8B5NjpwVUNbpek5+c4J1D8gK/qSM5I2DLaRxTCPRmrvH4RNmKT7vxEtNr+rkLQEDEoijWZDivTIuCyWSKNRkhqRo0GIKNhEuWbfuPiJqOLDImEi6xLHBUh4Tkm6LJR6U7vwpeUglidlQfJpIteZ7R0zvDBkLjHOv1uqsI1JdkZpAssn3lsNWDDL4NyTWJc6qpAowIWTnj5PY9Nsslk5kQJDC9dZvQ1KyfPImqjBAocsssN6yD8tblmhAGF0A7jkQkGJMMbQHU4ENAk3dJe7wiMcXoarngu77vu/mu7/tudvF9r3+M73v9Y/zE93+In/DeD2KtY/34Ia/r9/KBL/8q8qJMBx/Pc/SWUUjlkFsGtvXwGe5fVdEAPimGAiFdE9oTStJeS60f0cBQeCgQ2VGVXEtiHCB82216srUlxY4/qw6RKJ8L8mTE8+Mq3q2i5L8C/htV/d1pMCXwl4A/AoxEyYgRI0aMGDFixOcYh8iJg3/MD/4N26UvA06g/7ZteLrfW0sOPOv4dtfd5LtyzOdk19i2rXgyJB+2jnOAg6k+u6+rd9pv9ZXUCq1HCoMt5VB7ZL+v7nfLuQzG2RIU27xWIrt6HqM72KSYaA1LFaidg8kMKSeYMmARQl0TENQasEKWZbE6TJF3AWpQE4Nfiev3cCAubK8taw3BgzWGqqrwwbNeVxiEclJiRNhoTd14JpMCK9HZoixLjJgurUZMPCbnXEzBsXlUi0hUogAEpwRiyoxJJqP0pycRVnTE0fD67lKrYs1dhkF48J71eoN3njzr05pg+5rdg7TnNq4zIincB8QgouQoOM/j5YJz7oE1nN+/T1UtqTfLRHxFZUWe5zgJOA2sfIh6C5G96z4qLeIxhkRyCQEfPIfCwCIv+D/90l+DtTnBe0Bp6obv/q7v4p//0L/k/ultvvjOfV4+O8crrDcNWWa5evyQx2++zivv/xIwJqY8JUVP0LBFVrTfQ+hVWiGETt3UElGtOovBdxks66+3bVLk0PdD56n7zYAQ2ZbJdeqYlozZLnHct+PIvt6NZ9RTQ9+9meuh+/QLDM+Fq7iWKBGRPw78dlVd7qx6P/CX2x+qWonI30yDGjFixIgRI0aMGPGisJMXcxOZsL3pfvrOdnDVB3MdZHtZH+gf3ENavk0StPva3n5fVbGLYyk97bpjJMmxfp+GJNldt0366I3t+30P2m1t377ZT2sie7LXZ/uWX5MiYsh/0H4eOF2x2+Szom1gDkEAa8iLnKpqkDyjqSsEot+Ha8hsHt/iK0wnOcbkGJsjYmJlGhmoVnZJuHY4e0FYPN7WMLU9eA2KLSzltOB0PkckVm0pnIskTPDQKknSNj74zivESO8j4jwQkmGqQN000VfFdENIREJ7fmKfknI2etWPJPVN4pdCiL6oqhRFTtM00Yx2EBsPBVX99blDPYqk9KFBZabuNhYmmXI2m/H4yYY3Hi+4/9IVy0dXVI8uMUbg7inSljPODPm8YH1ZsXZwufHMyxzrPV4P3HfQVdZRiSWfm7qhCwPb1COiae9Xf/gnkGdFrJKEslqt+dT3/QgA83zCa+f3yaxQ1ZEkyawhywveeetNbr/0MpPT8+6styoWTWRJCImwGcxN6AiKfu5UFR/iNTK8oLoWN6TV7C7fTnPabb9bLWt43tr/7M9rXKr9Kh0S0S+QIBngR7tg5UVzFbvuOLv4GuCjIvILdpb/c+D3i8gHRSQXka8G/jPg259l5yNGjBgxYsSIESPeBVIAcZO0+1kCit23s+2yqFyIQd422pSI4brrA4TjRMTNYz+UVnRIVn/w+HRA7uzs7jp/FOn+b18NcpgkaSUgu+PSYYtB850kjy12JdUASdJ/JabUtLHZjh3nYFftm3klSDtugxiDEcNkUrCp1nhXkxUZWZGTT6dgLCbPCBqo6w0nJ5OkPKAnOmQw9zuHdiCrK40xEg8GwVrBGsHaaN46m5RMJzNELG3lmrIosEYwNsNaG1UhxqRtLFmeRR+TLPZhM4n/TCRJBKEs4vKoaPB49fF+Cb23TkzpgOhhGlD8IOVGEQLGKNZGAqEsc/LCpGW9mkT3rqnD91esetOWx1XQ0LXPrOFy2bAJ8HC55mq5wK1rDIZ6U9M0DnUe1zRIMppdrutEJAmBQJ7bgQqjRyx4LJi2rLPG1J1D44z3UwD1dClgyW8HIM8txijruqZxAfHC/fkZr925TZFnXFw8jvvcvce6O8huXeMdSaIhKnxCbzT7LOTvsVSb9nO3T90jQ+hIwCERfOh+396kPbLt51kslWzoUxdfDFTlXf37AsIL5SpuSr35ScBvBv68iPwN4D9X1beB3wD8TeAHB21/kLEs8IgRI0aMGDFixAvBvhqEp3px+TSKjd3VvWhF91ceaL9PlBxWXgzHtPt9N+XladKGhn1cH1i1gdNu0CPdm+BDY2u3lMGP61Qs8QW0bJ2XNmVkoCWhb3zdKWx9Sno/BlI/LRVyeLOdt+NpPBICbrPBGoCGar1mmmWRgBFDXhaAEoLB+wZVwTmHaxpsOaMty9rtuttPfzxRtdA368NEg2KwIvgQ8N4RUtWUzEbiA4nBvIjEssDBY62Jy6U3BtWgOOcJPpYPlpSD1Hp/tMRSSjKBpO4JqQLQthKmpXMMIfVljUTlSGobVLFZRiETrM1YrVZ4H9L0pkAcJaT56emPvspNvJUGa6RdF0sSbypP7eNo1k3gY2895P0v3YZbU+bFGaKeuq4IweEbx+NHT6iTokOM4IKhck23t/6eIlIk1sb0HI1EhG/8rual2641em09QwDunNziV3/Nz+EDr73Co4cXXFyuCAFun54y8WCeLLlz/yUWiwUafCqxbOKVm8xa2+dV5GGiDXBLYAQFvG69wo9Vgo4TvdeRwIeeLzd6ldBOyMAAmuP9Daatu68/u54knwnp8QVDlrxQruJamktVg6r+18CPBW4D3ysiv0ZVPwn8OOBnAP8h8LXAV6rqDzzLzkeMGDFixIgRI0Y8Pa4jCg7hkFfHIUKh37zTTnR5+fvKlV4q3wcfxwOE60iS647lULtj47+pr46UOHTsx/bVpYkc2CB99nqTrQ23xtsu21KzbOfl7I9NdtUsbQrDlv5kO9jtZS99X9qaZMYo9WrteXy5odZIwayuFgQNNM0aMUoIHmMtGoQHjxY8XjRgbLeXm+a+J0kG49TWp4JYDUUkeosYm7xhY5/Be5qmpq5rYsnYtkzzQIGQAmtrLXmeY9t0HqA1FRZDMi+NKUfWRs8M1WQums6FkdiuLAsyG5UqRWGx1mAzi/eum1ZNyprWt8WH0FW96a7XwfHv3hExe0r7c5nOkRETByKGoNG8tNHAjzx4wltXK07OZpydn5HnGevVkidPLnj8+BF5kfPKKy9RFhkg1M7j/YH7Ult/EtLyqJ7xwW2fuP5y6QicnpoznMxKXnvlLvfv3uP9r77Cl33wNb7oi97D6Z0T5vfv4mrH+XSOCcrl44cE9aj6qBJJbIu0xEeai5aEMeaIRWo7/jTHvaFqO6fHyc39ro4THVsqk3T/dOqS/bubbmm637bvcek+ZZDqNeLF4EVzFU9l5qqqPwz8bBH5j4D/RkR+BfDrVPWfPMvORowYMWLEiBEjRnzmaGXxw6h8z4D0ICGie+vbP+63NQvt+hTabSlPtt6Tp7f4ofNb6P8dH/twLDd5jeyO/bpUnWP+JKqaUkd2tz1sPBuPCaStDDIUyrRvkHfH3bmr7o9zazxdANVLMQ76pbA90zJYIhx+29mTO5JySvoOTJZz/sVfweVyg6kW5GWOWotPyg01oN5hi4x8WrC4yrn3vg+Q55NeVjN4g6303hftFBltSbe+nUmNg/d40UiSCEzKnOkslgPu+2zJB0nnbEBGtJyXicoTtK24G4+z9aCIcxlJgbbUb1DFed+RK6GTN8TCs8GDISRViOJ9IM8LTFLAuODx3qdB+qhQ0WHyk9LG2YffQsc0qqDpnKRyx5r6iN4iqZyzQhMCH/3kWzSu4ZW7J/hNg3pHURbcfc85k9mMxeKKyaNLLELtXbxmkynqMG0kqkg8EFObgjf4ADatG6I1iw0IKhrTtazhZD7lzskUTeV9T2cZJwpr1xAmBSfvfYVsNuHlIqOuVzTrFfnkBNUok9FWWaLtPBkCHtUQS0ejKa9sazAcJGCHqo/22qC/x4afQPd9lyzZTZ879OxUVaQt9LQztuE+NN1z22XEn0LB8hnis6lf+TcZL4qreKaqN6r6vyQjlG8EvlNE/hDwR1XVXb/liBEjRowYMWLEiOeF7u0n+wQBcDRgaHGYbOhNLEmf0gX/MljWBuzHfDqeDtdtc4zweDf7abfbIok6ouNAvyk+6wKenVSN3m+BtuHg9+4Y27LAQ6Jpe1w7fNeg37jQDPcrPV2iDLiZwRtsVSJJAu0Ji9+NcPbyPT78tV/H+uHbXHzqY6w2m6js8AFblIBSlAXl+YyP/KSvpjw5iwqTGO32429JC+nLFXdKip1j6ZZrICgYLJPJhHk2j6SAc/GzcYBG0ib1EYKjruuoAGkrqRghJPVEqxwJwUe1icbSx955nHPk1kTCoyVLGkeWZ911ZYyNipq6VYxYsswmnimAiZ4aTdMQPGSZoW48de1SOeEddIRj7yvTrogKltYnpK/84n1Mg8EAvp+0yntef3jBe++fcfbKPaaTmP4UVPHBoUCZGc5KS+WbWDlGW0pm4GIbBSuoKtZG/4zgPXY46LadgPehI8EkKVBmt++xWrzDsmrI8hyahtlszqQoWazXTKYTmmpNUZZYI7irx2gAU5S0DFLrPyIEvEZCJx63wQQlaCRch6TYIfRU4X6jp/FkGj6zjLnBQ0QhEGhdWlRbk+bt5y27z9iw/Xx8Ufhc+o2IyNcBvxP4KUABfAz4RlX9E4M2Pwv4g0R1xxXwV4DfpqoXL2JMz5uruJEoEZH3AT8HmAPfpqrfDvwKEfk5wH8P/Ici8mtV9Z+/mwGMGDFixIgRI0aMeHp0BEj80aVkHCItjpEku4TKoPcuGD7+MnQ7Wh7G4sN+2rbDt/zD7W/2FXl6DN8aX9vnLinRKSV2lndqmdioJTR0SJIMv+6QJe2YaNUV7RwdIkXSPloT2G7braa7fQ/2PzhPQjsPyfshaBcMtlViTJYzvXOPelMTLh9C8AQXlSQ2z5nOT7HFlGJ+glgTq+7Qnq+oeghH3vbrgfhVUz5K7TwmhFTS1ERvDddEBUeIxIaGENUkEKvLGJIniYuKIBPTHowx0dDV2qQUUuqqptpUuFSpJqacBKwxWGspCkuRF4lklEiYENUjPoSoSIFYWSfEqit5lsV0IQXnPc47GueTh0pLRm0f8/YcJMWNSEwBApx2spvuXHakSUrpCS0RhQExqHg8His2zn8IkewQ4ZWzKbdOp7z5eMli0+BCQEwK1K0gKT2p9cpBoHGefOsktdeYoU15IalulICdTMmm76W5eIsnF484PZlGOY8PWGtYbFY0GzjP7lDmOUJAbDw/m806pRkJwbueVzRgMPFY+kEQQkgpUuawIkMOEyL99aZ7369rL4l87I1X4/Wxm7Z3qJ9DSpUoZRqkLr5IfI4kJSLyq4A/CfxPwB8DGuAriIRJ2+briD4hfxX4XcCrxPK8HxGRn6G6Jcn6TMbywriKm8oDfz3w14i05AY4F5E/qKq/T1X/loh8JfCHgH8oIv8D8Dt1vzzPiBEjRowYMWLEiM8Qe6THIMiXA3/MPxUJoVGpIHooqFCiCefhPP0YOO+Uwe0CjG1SZLDDLka8To2yK42/+TBuPubOy4KBGmNP0XFIGdIN+HhC0YHDVW1nrl1p+rYy3KhdHA7O9PZBSK9OGRxLXBWNT6tqzXJxGQPNEJBElIiNVW9UQUPAFxnl2TnBO7yr0OAJRtg0jkwccnUVUy+M6fYiyUuDoDhXc6u4y/BqQenK5bajNAKrqwvqxsW0GYkpCp2qIx1TCK2vxmAe21QNYesi7wgxidV0xERSqL0u6VKCtFPbKIoVwWZZ2jbKb0IqN9ylxXRqlnggJgXQXluT07h+Ur62R3zFS/9wcI8O1ot0pZvTzhHAJlLk1jznpbMpL52doM515rZCVMYE70CVyXRKOQncm5e8cveMB48XvPHwiqtNne5eSSqZjFj5SJJqJG6vbYpZOw4j6cLqiZW2GtHJ/fvoJGeav473Ht80USWCJ/iGJ5drCqKZ7ezee5mcnAPgGkddN2gU6sTxJ5Kp3V07SZ1iQ0NXFrszMlbdUyvtXQ+D37vrjvo4oTEdK4RElkh3/IeQLGq76z60xByKER2QlYdVL5/vEJHXiATE71TVPzpY9Xd2mv5R4HuAX9qSIiLyBvAtwC8B/uJzGMsL5SpuUpT818A/Bn6Rqq5F5HcAf0BE/ltVfaCqa+A3i8j/SmSU/ndi3eIRI0aMGDFixIgRzxF7gUCXN9L9ZwuH0nCGy2Hnz/idv+n7/QW25BODz570iB1sxyJHXDR2Uln6aPM4YXLdsd3Ufretah+d9UFUT6Rs97s9tq2AqwuSDwTwB3ATmXNjGpOkcsFdh+zMf0wlWS2e8OYnfzCmTsTX713qzFbuTEtCdIcyVAHRCmG6N+5xVSRNRIRbd17i1p2X+uNrPyX+CyJRNWANRZ6xXl506RbbAbKm4fS1fVrEdq33Qxxb9zEkp7qJMHR1Z3bJKwHXRtpbsqnYWUtixI/eALXvJG5js4y79+5x5/Y58DZPAwGsFYrC4r1JChYlzyxGDVkBt2Y5k9wwL3JOz2YU04K6aqg3Feo81WZFlhWIMdF0NzPM5iXee2yWMT2Zc3I6496tGY8eL3mwqFg2UXWS2axLNckyS3shyXCiDt3/qY2YmBaTnd7m4s1Ps1mtKasNpiipNbDZ1NSrDVUm2Nv3sPNbhBCoqwpjoCxL1utVmvKohgFFrImEVCJXu8wVBLOj1tjFrpqjXdaO/ZCyZOvY2uXGcHV1RdM05HmOkejh0l4Z0YumvSGGlZW2L8Oohopt27G1FYReFD5HqTe/Jn3+8WMNROS9wE8GfvNQOaKqf1tEXgd+Mc+BKOEFcxU3ESVfBvyPaScAfxb4L4AvBh60jVT1X4jITwZ+09PueMSIESNGjBgxYsRnjk4YcSBIfypFxiAgfhrzwd00n8PbXL/f64Z1bebMMyhNdscVUoAfQ96byA3t/ittWgzt2+29ZvvyjrRwO1YfyA8SQ9G9zb/xcGTrY3uf8c2/NYY8zzk5u43Ni5i60kmOdqQP/cHHjyFxoURaQuMKlZi2Y4xAAJNl5GXJ2a1bGGN7Xw2gT1mIgzMSPUJunZ9jM5OCySFhNFCRtMe0pSg5NK87c6DbxJYOOutIlqHqY9j9kGgaDMM7paodqpBlOXmRQ1K/lOWEO3dvY7Ps6Hk7NFxjDGenU1wTqKqGPLdMBM5Lw+msoJjm3TWBTcarSWGhGtOPgg/YLMf7AMaQTTJM4zCZJbNRsjE7mTKZltx3ysXFisdXG2qAIktljXtFRE9TtkqOjh5IfjKDOVFlMply98s+Qr2puPjkj1C7BYvVhrpxnOSCmc4obt/DB6VZr1hcXmKMMDs5ZX5yQlVVVJsqqprQzsi1Ixa0JdKEoPv3cDxn/bIh4XGs7SGCeIjNesNms8EYQ11VXF5eoiF0aV3G2kQY9Uqodt/aEnyxfFNSS6UqP1vKuheDp3hcvwh8LfBR4N8Xkd8DfCnwBpEn+D2qWgMfSW2/58D23z1Y/5nihXIVNxElPwD8IhH506paAb+M+Dj84d2GquqJrM6IESNGjBgxYsSIzyKehuB4lj52zU07f4ob97urPhl0svV9SFSASJti0afuiNitfRwLeA7J7g97ssQStcaYSC7sHM9WUDVcHgA5phQZyBV250IPNBvuZ1fxcGT8W/3JNofQ/vghtwYCwQTcyZQwL3dSoIZj6bUZu5WTOk4iqSsWyzV5XpIXBblA9amPM73/xUies8gE0yz3znRLQpmkKsmsYTKd4oOHZOK5Py6T9r3/Bv4YEdeSG8P9a3dMSQnTclwHyJfr1Ac+CGqjyex0OosGs4CxGdPpjGIy7VKaBhtus3w63Gn0SRGELDMYU3BmlZdOSibTCRiwRY4aoalrQggsFkuMmEiAKKlsc0CJFaaszZAQZ8w7T3DrFKwb8mmJGEOeGU4Lw5PLNQ+rNRQTIFY6OkTyxEWBGNbZzoC1JWpcqZiyZFqW5NMP88aP/CAZm+i/4tfI7XusqxqTO1bLJY1zWGtZLi6xNqMsS8pJSbXexAo9ye+mq5pl+jLYHeV1A1lyCMfO7XD9oXssywumszkP33k7pSsNFFnEa0s0pudEQicqZGIpZElkW7q+PytEyWekKLklIhfX96/nBxa/mv79ceB3A/8a+HrgdwCvAb8cuJvaPjqw/SPgq9/ViPfxQrmKm4iS30Y0YHkoIhvgDvAHVfXBtVuNGDFixIgRI0aMeO54GiXFMDjYS78ZaCm2/8aOREL3q9su/kdUQFoSpNvTkRG0AUIfSPaBSUt2tGMdppz0SgTo04V23wofUs3stmuX737fHkM8nkPbMox5r53zPlLvS9vG4xhqHFrJxqGeurQf2Q7W91KUDpA424jkT5aBDmqafCah2iREA9Lc5oiB2WsfRG1G0zTYrBykw2w72bTXjTGGW6dvcDLzNHXTv23fHdweWbQjJEkBaK++kSOn5YhyZjDOa5HIDue08zxBrjDGYqxNPVwxm04wlo5s62LxawL4LMsoihzvHdYF7sxzZuenkXQRgVSZxwfFaKAoJri6AeewxiJZqtZjotrCNQ58ICtL8skEazNc3VDXVVs3mazImJ5OyaxgrjY8WNcwKTFJKdRNZ3s/GpO8YobuOvG/TeMIwZNlORoCtsh57UNfwdXiirffeos8P0HtlOAdV1eXyYdEYlUfDR0RWpYl8/mM9WaDazaJiezHENK1Hz1jhvdEr9E69Izr2x0nVtrP1uA4muxaonFsVIjkWY5bL7m4uogKKQydES49ESK93oxtig5EBcXDAeLvueJzk3pjgFPgl6nqX0jL/p6ITIHfIiK/d9D22A3xvBikF8pVXEuUpDyiHwP8XGBKdJIdq9uMGDFixIgRI0Z8DiEi1xobHk9R6ZUbw5iyU93v7ym1S4qJnXLB2/vtOYXdl+vby3aD2TYFY0iWbB/roe97I72BRLqun8M+KMf77Jan49lOydm2ZG2VD9uZN9sqmWHccO1b8EGOz1QsamLUMiQetK2e0xE4OyqUI8c7OCDa8+FzhSCx8stgvaIx+DamSw2ZGtsH1938xKorFpBim/jYG92WnGVrQTsBLQOzvXxPU7J/LNvfj1/DbVtrNak3UivT7trEiizmsMJqdwTD89ySdKIwz2A6L8mmJTaP9WeCKkYVay3eRa+LclriK4NqYK01q6Zh6mBaTMjEYGclk9kJAaWua5qmAgKoiRyPtdhJHOcZSuXWXKbKOlFu09/epOvdmHj9GZPSSNKl1Fb6CYn4EGI6liAUZUnVNGyeXDKdFHjvKYo8Eh4+EiYmPWRUoyrGWsE1pApKcRBtiWcklbruZrO/ga7zHumonZ3lxzxLRCQZ3Ep3v4sxlPNTXPsMHShKug/VVA0qTeAOEaP4vafCv4F4ckQxchMeAh8C/tbO8m8CfgtRLfIwLbvLPu5wWGnyzHjRXMWN5YFV9RPAn7ip3YgRI0aMGDFixIjPHg69H98LHA4xFiL72yVlxW4Ky5AsaA1BY1AxqBDRjYZuRPtx+G4wO1SIDIOhQ+33j/FpTFy7nvYIkuO0xqE0nkN9DQ1dByKVwXFI/3nNW1+lrZLRCSUOkiQiEivYDM761BgmpJK/tBvHj+49tvTbp4HvnZwbK+0cSK6JH73ny1YKjwghTGj0Fq0XBRpL327xHoNvW2oU9q9rWjWJDlvtrh++8e976pcP+94lY7b3D5Fr0HSCTSJJkgQKrwbvewIk6GRvxEO0ipGsKHAaKDKQIqp+vE8qG0kVVBSCc4R0PsUY6uCQswn1wqNXSyYmR2yGsZa63uCcxzsXj1cMYmJ1o6woERFqwDYNs9Ky2TQptaa3yB0weGkM20oIay2qradIMqWRgKplOpvy5PISMQEhlh4+mU8pywk+BJbLFaKK9z5OdVl0fSIW1Tju1u9jeOZi9srh0t+HiY8dRnKw/li6jnRUY0+e5OUEWS678ybp2RfJyjhPBggdCaogIRHOg8o3L1hRckMG0ovCdwM/9cDydtIDMR0HohfJt+y0+yrgnzyvwbxIruJGouTfJIjI1wG/E/gpxDrNHwO+UVX/xKDNzwL+IPDjgCvgrwC/TVUvPrujHTFixIgRI0aMeL5oc/lV21fc29gKiNNbz32KYvuNeh/8t394HyBWUhS/vcthoHJwtGz/7dx+H1pEbgco1xEe1+G6bbY9QWLg2xETSEdO7JIgzzSOIRkiw6PbpmQO961pG9nyXN1Lm5JuxH2PGnfdhmMig/WDht32T0OS7EmBzJboY5cU68mIpJhA8TrFh0lSC7QVQHo1x6HrZU9cIzu8zu42x87PIXJwh8jZGoBs72jIe7XiHK+AmMSTGET7ssZb4qKdYQx3YcRiMzB4snY8YvFEFYWoQPCoiykuIoJz0XPEzAo2xrFsaibrCjmJfbqmATQZ9xLVEcbGe59YGtrYDGSDGMisYDWpQ6xithQbPZEYx69EU1eHJCVNuzz6/MTnkXceI1DmOUJOlhumsxlGBFdVZDaW3o23elvxBrI8pywLlk0Vx6u9cW13ZWqAlLazO6ftuLfvk3QNDgjHowTJ1oU1JFKUoig4vXVOXVVMJhNUTCJbfH+va7dlmrJA508S2uo3B3f9/PC5IUr+MvCfAD8P+HOD5T8vjejbVfVTIvIdwC8XkW/UvjzwNwDvTX38G4+jRImIfAvwh1X1W5+lQxE5Bf7fwP9NVb/zMxzfsN9fBfxJYmmfPwY0wFcQCZO2zdcBf5OYq/S7iEYzfwT4iIj8DN2lR0eMGDFixIgRIz5PEEkS6WO6/RenqV3/VvZQKKlsB+qaUmqGgcJOuHjdqLpv20RDG0D2g+x/72LwNn83OH5K7BIQLTGyNUWDL/uUw3Yfx0iSw74pO+PVPuDcpqQO7AsimZVIHO0Inb7PodoElK8uzrY7EyFIPKp2itUM53Tb72VvngbtDh90tt8m7ah/gx/fyp+Xp2n4ARXBtseqim5lqsRtpPu+vabdSbs+LjPb8yh7k5PGtEsN9gH2XsrV4SOOa0SgNRltf7N9rttKKP3ejisXVAPGGtQbUCWoErqgOiL4RJqIQVEuqwopLZgcF5TKK6H2+OCjyiO0pqftPWfj9ZDUYN41eO/SPd7TWSkPht25j6qWAaEVtFven/N4LBoUIzZ5z8T1WZYxm07I83xQdWnwXDCp8pEIm82Goihj6WFP1yZoSGfa9Gk5BwiS/fnt++iXHTsXuyTKsDJS9C05PTtjs1rTNDV5UaRza2gNVGPm0iA5SEOvOLGtv8qLYzIUeLdmrp/JqFT1m0Xkm4D/VkReojdz/Y3A/6CqH09NfxtRTfLnReRP0Mfl/wz43z6DIQCfHa7iOkXJvw38z8+y44QibXsoJ+ldQUReA/574Heq6h8drPo7O03/KLEM0S8dMFdvEE/SL+H51GseMWLEiBEjRoz4rCMSJZad1/s7bbZfY8f4++ZUlX6zYQAlg7SYmxQWu396t2+IW/XIbvC6pYvY+n5cKPB06TVt2wF10O2jV23sEwXHcNwU9vjYuvOwQxbtH1M/423g38r2ewGEdMqGvW6kPz7TvuE2/RivSzm4CTcTVp2OhUiUBC7WP5ZIaPRv17swviWBWuJBbexDtAun+3kwsR8FlZCiUssu4hUe6K/XdvDtFbl93R1KCTt8jHvUVlx6oPH+/D451GFqHJBUSrZlBZWYamNNvFeip0tO7Sp+eHmJq+FeeYYE4XK5wQfH9J0LXr1/FzUmEi3GYEyG2AIR7SrKkNKDkFhy1xqLMQ0mzwe37HD8AsmXJLgm+YuAqkeDQYOPCpg0P0YN62oVFTA2wxiDcw6b2VgpaEtRBGIj0VtOJtR1hfceaywuqUxCItWCKnE6whYNtT3nLUF3ZKpvIEmG33s1Xbs8kk4np2csF5dUdU2W51vERNgbz5DcbKsyvWDJx+dGUQIxrv79wG8F7gGfIIoUujhdVf+uiPz81O5vEDM9/irwW1XV73b4LvDCuYqbUm9+nYj828+485Lnf9p+Tfr848caiMh7gZ8M/OahciSZvLwO/GJGomTEiBEjRowY8XmMVlUSA83D6Tfb7beVBC0OBXyt98ihP+OeJQ3lUEWK7q18N6b4O/a7W1J4OwjaTYt52rF01MiW6eY226DD4PnA29l3kwa0hQEpc7TJMDVoQI50I1Qd9NMTMEEE222ktJV13vVQ964Vw44MZBsCqgahTc0ZVDlqv6sCHiPCsBJPPNuxokh7CNtxezp7Qn/+9lKCWs3JgAzr5rB139iSfxCvtXQPJTKmR1qH5fBE9rHdjelZewFyT3xZNFXMGVyHQXGuoShKTCY430CwOOe5qBqqlP/j1oHGwxuXS+7duYUtMsQYxNhIVGQZwXuCa31E0lwYkMxicxMJGSPQ6Nbw+uNJBFsyb1VNpEtb2lk1GtqK0DQ1VVWBQpnllEUGAtVmE1UlGlUyGgJBBGMtIQQEJcsy6qqmvbxDUqmkJwemVSJ1czcg/npGbWv8oJFTGyhFhmdi9zmoqpies9onV0Q4Ob2FWa1wzsdSzi2ROVAPxXG1KUIp5eYzICn/TYeqLonGrb/lhnbfDHzzCxzKC+UqbiJKvjb9+1zja4GPAv++iPwe4EuBN4A/C/weVa2JZjEQFSW7+O7B+hEjRowYMWLEiM9LdCTJUM7O4YDtEKlwSPXQ+xKELmBILfr9hNbj4vjYDgcFT0ty6IHv22ay1x3XcQxJkQOCjJ02hwxtj6lInh1pBDvdbBuZ7o+wJy9SUCbbx9S2C0POgMPXxlBlsu8JY3bOffonQ7PVPuBHTX9u2113qUNtuCuQTH+79f2Q+35304K0b3MIsrWub9+nBh3zuxFoCRsx3f7jvrvSNoM5oFP69O16bCuH0iZ64FrupAaJ7EyVZWhJQ4nld2OpYDBqyW3Gy/kJjy8fcblYJc8PR+Yc9+/dieSTD0ieg2RgLMYYmqqi3tSU0zwqMtJ9mzgTjGlL9h6Y15aQYPgZtwshREPWxCyIkVjZVyMRY6yQZRliBIPQNA3ONbFSTggYY7v+vPdROZNZwjrsqDziDhXtPG76a6otc741u/03pbu++4Pqz9XB52Wr7hneTcP1RpienGCMsLq6SmMSehKmHVf8Gp+TMYVoWPL7ReDdpt58AeGFchVHiRLV6yjkzzpeTf/+OPC76XOhfgfwGvDL6eUzh8oNPSKWKtqDiFzcsO9bzz7cESNGjBgxYsSIF4VhtYq05KY33EewSwoM35AOzUO12+tnThrsqiW2TRWH+z4cLT9VuswOmSQi3Dv/vkFw3h5H7O/J5Yo/+Wf/Ad/6D7+Xtx5cMp8VfMkH7/Of/tqv56t/3Adu3O/2ut12/Rvx9r96pPXhfUj30XEIe812Aj+O/tzZariy/dNfd/rfT0+RLt1mSED1JNAwUH269KZtfkF2v+w0ELbLY98Ujx7yZ2lxiEDjaLWS40Vfe37oA1utEgWJtcnPIwSMmL7kchvjKzGFJqkujDe8dn6ChsCDyxWrqsYovHbnFi/fPou8jrWRmLA2mrYqhOBR+jK7qKI+mq6iYC04769JTYkVcUJQvA+pv5jO45xDMgPGYoemzKoE71AK2jpIWWapqtBdFtEINZDnBU3TMJlOoymsgG8r7QyUGGqG6pH+cHZ9YaKCJJ1jtsmx9vf1yo72ebDfpvN+AUSjv8qbb3wimtNu3c9pnKL93O+RZi8AX5iClafCZ4Or+HypemOAU+CXqepfSMv+nohMgd8iIr930PbYJfMFfyl94v/1H3xO9vtFv+EvfU72O2LEiBE/mvHW//PbPif7vf8bf9rnZL8jdtBFhnI0EHimdBn2g8ktJcJO+2OqjpuDkmfHboC7u++Dqpk9hQHbCgZ6AuHTb17wa3/Dn2K9rvmF/+5P5P2v3WWxrPj+H3qTtx5cHj3Op4f00fgBUcm15MhgnAqRHND+9LeEgR5Qqgy3PTyqXfZD0w6GVYmi30gfTF430uF+3x2Rdu1mIknZxE6RoTgp15Ehx5YdDxrMICVruCbsaQm2YVAkEZlDsigqOQLEijfWEP2GktdFAGsyjI0qlyCCGiHLLF/80jkfvHeXRpXq6pLMQJYJYgxkNvnoBlQdPl0gkZjoU7o0hOg3ImDNsGDyznErqFfwPVHUVtTxyWdEQ38BKlEN4kPAek/wHiF6jYhAnmW4ponXaYilhzNrWdd1R25Ym+P9Os6qxhLYrU9PKsy7M9LtUtFKf2630v7aJgfUQFvPKI3HtEsU70FiuWVXNazXl6j6pB4Z3N+DPUtKx3mx+FGvKHmh+HwhSh4CHwL+1s7ybyLmRn11agOHjVnucFhpgqqeX7fjpDgZVSUjRowYMWLEiM85htUrhrgpMD1OYKQA86n23qcz7KdtHN/Hs3qM7JrMtqqPQ30eGsehg+kCKwFrazK7aZfyu//QXyR4z1/9c7+Kl186GfT1Venz8voAfnc/1y0dvryOEV5cfIjkGGyXqp7uqR+GIe/RMT6VEmZXWTIkRwZ7HZAHvepjR80yUDLctP9Dba6d6gN2Ja3JrQ5/DxttSVUOTnQvB5HdFe04Bx2n4DdmncRlQSeEMKXLEtlVpGjKWFFNCpAMkvdKCIrXQCDQNA6RaIWb5BNgJJbfNZaQZRijaGYj2UIM8tsSw6qeoB6xBkz8p6kvsQZyQyE5NYI2OzdKe5+lc2eNBRTv4nUgknxEMAQNtIk0imJM9Cup65w8U7xvUglhpWka8ix6l7TeKcYYmrqiKEvKsmCxGJ6n6CvUqcq0p55o1RpsXy+HvJi29B7atts5rRpJH2NMTCsanNPWELo/p3HcYmC5eBzNZtv0rdZLRVsFSrr+x4Krn9f4fCFKvhv4qQeWt5d6IKbjQPQi+Zaddl8F/JMXM7QRI0aMGDFixIjPHgahcfx2gxfJrrnqdqrLYaXAQQJiT5GxT14cWr6730MKkWN9PpswYeCDof22rWdAO/TMbijzKxD4jv/fm/yL73yd3/tbv4bXXg00zWOcC8ymxbPsuN394KNVeAzeYg9VH9rG/LK3/V63sp1q8DSTItf1O+Q9pD3/srfuWM+HGt6kBOnIE9gnUnbaHuqq10/t7FAHaw4PbZs4u/bYkhIgNdy3g43rt1QKaU3tIDBN2/f1ULpdi5Bbw9k8Q3SG5BlOo1cHQQmAE6idwxgBFdTYqE5pS/SiZCdTMAYRk2L4nmhTFIJFsljdhjzvdS9ZTjYpyYDCe2YBHr+5M4cKmJRmJdGDxGj8FDFoUot05EEIiBhCUKwRrM3wriHPDCFEdclqtUR9g9pIfHgNBK8xDclV5EWBTevaksZbrGYa2JCEGM7s9mWlBz/7PgbHOnj2bHmatJIt0r2h2hFaaUNsPsFmk/6aF4BY0rinSRT1LqXovCDsS22ebdsRN+LzhSj5y8B/Avw84M8Nlv884qn+dlX9lIh8B/DLReQbtS8P/A3Ae1MfI0aMGDFixIgRn5fYSiPZ/nKUfNhNRxgaeQ4D5Fix4XBKi7a7ego1SLvv6xQk++M4tG0fsNyEtn0XYu9F1ZDyU/YC5W/9x58A4NVXTvi1v/Gb+fv/+BN4r3zgi27xG37dT+QX/btfdmB/sOXnkYL0nnZq333rwXPVHt6+AqJvm9wW+mk4Mu/76TMH2mypbQxIGLTbSfOXw53s7353v8fGl3bbKmeGbY9dS4fSZg63PNx2d9n+BB/rbKtLabdtbwBRCDukFUAQUBONNSUc2FMfnBeFjZVjjI3jNAIaCICxJpIFoT80NQaVlqARkoxhMIJALHndJ/uoKkEiYTNgxLpUHyFgjs19qjpj0rjQlmMMnbIj+ABGCD4em/rQJSShQggZRgw+OKw1OBONYK1YQvA478isAQ24ukJsjhGTLvN4F0VvEh+fS7vinI5nS/PSyq04TJIEeq+T1nOEneflsWdUPMJICLXncjqdc3p+n151legRIxgjGBFC8DRNjYbN4Xl+XhgJjxeKzwuiRFW/WUS+CfhvReQlejPX3wj8D6r68dT0txHVJH9eRP4E0QD2jwD/DPjfPvsjHzFixIgRI0aMeD7YLiPb/4H+rDhITrTBfjhMhuzK2m9KodlNwdk1jT00jp0ejo730H5kdz52RAw7G3Vtv/+HagB++x/4R7z/tbv8od/1S2gax//yF/4Rv+l3/V0W69v8ol/wE/uxdPO9H1ilOLFr1Qa4e+aSA6VCH8L35qQC++kjBwiX9ueW7mG3+U7j1vOhC+4GxIgONtx+bz/YxyEihsPx2pBz0UHnrZlu1FEc23KgchheS6bvsE2niFxP22u/bQiBoP3RdcE8GmNck9prSitJJqiS0imUmMrSEV+aelDFmhybWabFx7qZkmGOxh4U7xrqZoPzDiutEW40TdXIOkTfkZQqAsP7aGsid+atJQHa1Tq4+HW/ucB0dobB7PUXQmDx5IKrx64jM73zON8QAlQrmwgTaYVb1HUNqtFfRWG1eDJQaiQz2DZlUGB5dZFSXVwcjAhVXYH6boDGGIq8JAzKTPf3TmD78dKrS4Zz1u2zFaNoe36OP7s675mBYqhrmZZZm1GUs8F91J8hMZBlhizPCF5Zr1YH9/PcMFa9eaH4vCBKEn4J8PuB3wrcAz4B/C7gj7YNVPXvisjPT+3+BnAF/FXgt6qq3+1wxIgRI0aMGDHi8xIHJeo34ygJElIQeKSr64iPp9vXduh9fZUYrl13OM2oDaPaN8b0VUUGc9QHQMpmveLJkysAJqXlD/+un0eex0DwI1/+8/mPfv2f4xv/u2/ip371fYSYStAGUoLgnKfx6a2yxmjMZhZr49txHwIhVVMtJyXL5YrGK0b6cN75FLgLWGuZn8wxIhhilRGAoihonMM1DcZYkGjyaazFWqirCu88xuaUZYmi1FVN8A6bmej1KYIPgdVqE8u8hkBpknIgTmJnwGltxmx2Ql6WAKyriovHF6hvEAmRq9Bo2FmWZWfgaUycWVEDRvDZBMnKdAokqkqCdkGvaoCmwfkG5wIaPE3TYEXwvkFTmOydx6fr8/T8jPn8LP0W8jynnJbkWY61Np4X71DveeONN2mcp5xMsUnB0J57VSXLM4p8wnq9YjKZEoKjqjfkmcWIwYjggyPPckLwgFBOJgCcnb/E2fndLvDu/7F1nbXXsLUZWTaJgbMKYVimRwxiDBLPVPz/xA+06VlbRFoiSqX1MLlGVbCrpRFjsDbj3v1XWT283CHglDyzCFDXFTqYLyMQLUt8fydrpLrybKCuUuJ2GpkoI4JYuzUaVY9rHNq1BysC0raL98J0NoNNlsijxP0cONi+dPaBIigtkTqcpo7Pasmc4fnqn0/DMsSoohKXT0/OmJ6ep1Sh/p8QMFaYn8yZTqfUm5q333p7f0zPEYey10Y8P3zeECWquiQat/6WG9p9M/DNn5VBjRgxYsSIESNGfJawX4Vmu/ZGn7JyfLuj/bZClUPbx0ZH+326KjcxVDmcdjM4Ltn+fWOvsrstdNIO3V7WDrOV4jdVhTVx4U/7ia+wXl2wIXpTBB/4iT/2Pfz9b/sYH/3ff4jX3nsGoYlCBBOJkcvLNVXd5knEfoo8oyhyKtdgTEZoYkBelhlvvvUIr4bMZpGYQPFeccFH48sQuHPnFtPpJJIkvsYIFJMpWVZweXWFmIysyLA2Z1LmGFEa51gtllhjmZ7MEJT1eg0Kk0mOBNcd+9XlkssnC1yASRbITaxY4pxiRMnzDJvnFNM5915+BSPw4O2HPHp0gZWG3IZErMUguSwKJJlWxqwQAa+ErKQ4e4m8iMH5pCip6pqq8Yl0iKqOUK2p6hpVxTWOah3fwFeVAzzTMqOqKnxQitwwP51TV62CwUJmyY2lLMtotClCrjnLxRXr9QbEYF1Iip9IanlV1CunJyeUZclqtWK9WuFDAIlpKYE+FS2EOhJZxkavjvaK6gJ0Bp8cVFvlWc6de69QTCZb0e0w1axN6dpS9hzybGlJkvbnzmUP4D1s1lVMeckzTuZntObHWZ4znU5ArgZbt9dvwZ27d9msZ9FnpC3ZGwfb30edUGVwLCHQes+04o2ky+nH3pFk4J3iXKwcY60ly3K6p5ARitxSS9MfWyIrtlVkrfGwwjDV6BikJ0lk59gPQdntVjBiMVkWjzGELfWMMYqVeI9rHsiLz5tQe8QBPNPZk5jc9suBnw3cJyo1/qWI3AZ+AfB3VPX15z/MESNGjBgxYsSIEXBcFXIIz6IEadMNtpYZ6diGd19ZByJJcmwMQ1+S/T6P/b7eTLY1bxS2mwVCiNVFQvC8dGcOwNlpGVMKTEy7aILn/KxVVLTVUi3WZjFtoFlTliWbeh3fiJsYhIoxqTJGjjEGkytlkbNcVbigzKYld+6ck1tLVhY0jWe9XFI7z4N3HnO1XFKUORJCF2Q2TU2WF8znM4JGZQgaaJwjs5aAIcsLhEBoGvKioCynQMB7R7VpEJT5fMJ0OuXych37VUFwNN5gspx7919hMimiH4MRfIAmeC6eLAlKTBdJb9Uxik1pFUZMvEaE6H2RF0zvvkqZZVR1hRjBipDbjBCU2rsYsIYABAor1K49dwafytgGBRcCjYvLjUQyiXSdhRBw3gGwXC7xrsZaATU8fPgokloSNQghKVIkkVxYwRO4vLqkaWKaiRiJ5I2JxI+1koJhmJ6cEkJDVa3jVRRCOjvb1/uxMt02y5ifnlBOStSHfjs9cB2LdGqLXhWV+lK21SVsUTS0GgjXOIKuQOD05JQsz6KqJ6lEovoGhsIWA7z5A4/REPA+dCTJVoqJyo6Modd4qJrBM2SYDjM4hrRtUKVpAk0N1kJZ5tRdf7G0bpXHeTv22ImZNX36Vk9c7T8XerPWlvgdnqv9HfRpjpFtlcGRtiKiYWWiaE0jiMTtTEozysyRwT8vjIqSLTxvruKpiRIRmRH9P346sARmwO20+hL4r4A/RUyHGTFixIgRI0aMGPECcMx09WmUGMcMVAed7fVyqNehz4aI6cwS90mQXaJiu8fruJdjpMhhwmZn3O1xyDCWCARVvPcYYkWKD33JXb7p78I7D5edDB+iyuLhRQyK794949btewBYk6EEVssLlDXWrnGuT4MQE6uACDEYNRk4V7NYrMhsztmtE9AK9UJGhvdLptYxn065WpVs1hVN7citYohxmnMOBfKiIMssi0VUXTjnQWP5VbzHh+inIaZBAzQ+4JyjqgP3790m+IrGKWpLDFEl4QOQF7z63vcwm5S4piYvCozNCMGzWTdgBDVCEwQTLGJ9P8cDOUNQQAzzk1tkBqqqist9w2odySlrDKKB4BSxKRA2BuebREwERAKT0uAdkAijdj8+ESMtGXZ6eoqxBt80NHWDmUzIioLJdMbVMpaANmagvQqBVvjy5OJJIg5iCKwhRPNRr7HSjAo2i+d1s16n7R15nkWiZMdl9BhJKGmejBjyLEetbpMNsv1lGL6rbOseZOvLzvcBrLGcnsZUHjGRWMqsBTU4nyrrmNj3Vk0XETAGG2cuslXxLA4OdHdvQ1JEOTINW+2sKuCxNkvLFDEWY4TgY6pVYUzkIRJB127bP8N202bo+oLtSl+H0M7lnjkv+8+YYZshOaX0ZNPuY8kkpcwLxehR0uFFcBXPoij5fcBPAn4RsdTuW+0KVfUi8peBn/MsOx8xYsSIESNGjBjx9NhKd0kqDFU5QB60weXNioxYfjYFTu3r0vaP/8Q0iPRvjrt0ACUREr0aRHf63t33fpngYcS3ryzZrdpzbFnsoiVv2tft/VtkTSRJrKKheDwhBL7qy28xKS3/5Dve4Bf/OwvKMiOo8vjJhm//V6/z6v1TvuxDr5FlWReTOufI8hlNU5Fbg/cghpg+I0KTvEU0VTOpGof3Sl7mnJ3eAnH4umZ2ckpdrTBZgc0y8izjyq/w3pEZkzwgYqnZqqo4u3WOzQx5kVE3AecCTePxzoP6SDTQqgnABVhXDbdO54ASAtE4lIDzgbIo8ZJzcjLl1tk8/g5T1psNm6rCuQYXGk7PTnn06HHyt4heJJo8OyIxE4UeqOCDEIJijDCdTKmrdTQDNYpvGnxQPEJdeyazEjAE7ygnE6onG9rqS95FjxYjUOQ2EXFKXVdMB+kgy8WSk9M5pycnyNktEMGIoakc8AhEsMZ0pIaokuc2BdgB5+J1P59Pmc2mzGYzQlAWiysWV1fUVUNR5mhweO8QBG8MShiU7T2sSOjWifKxyyqRL13dleGdAdt5Yt3Sa5nEvcbDAUAgi4tD+udd+8jg0XJDa+BsZzlFHgP687PJHsGwyzNspxwNvg6UGzqgEnTYSf9ooWninGro26gqmsLTsizJslgdqJzlNyra+t1c327rOSQt2bufEtifQ7YI10iOtETmsLxwiIWRQth6Vr1IiN7c5kcRfh/Pmat4FqLklwB/QlX/mojcPbD+B4Ff+gz9jRgxYsSIESNGjHgX6P4A7xiLGH516g4kqcaP/6E+DApi/NQWpZUu1hhub9Kb9/4Naq9kEWFv20PjPUbUHNpouH63as7hlJzBMtGOOFHtUyRaoqD1oDiZZPzK/+Cr+J/+3L/i9/6xf8zX/fQP0DSev/0PfgjnAr/+13wNrUGod55qs4opH02DKBRlTuMDJk2K9540GTQuIAJVE3BARqCclJyevhTfnAfP2fkdjLEEhOJx9IwIIZY89fRvxuumJmigsDGtZr1ZcLVYx6ouohgCPijGOE6mOWKS2WzTYJP3g6oyKTMmZU5d1bgQyIqSO+dnTKcleV7GNJnM8vZb77DZbHA+YLKcaDU6qJnTqgeQVEU2zb8YJrM5t87OQQQNM9abDcv1GrU+kTQxpSaWjI0msgTXVX4JISQTUMH71l8kpeK4mE5kTUzJqKoqqRACNpmuGmtZLK+iQbHYWM5WwEpMr7FW8F4JGgjqOT+9zXQ+Jc8yrLXYDM7Pzzk9PeHBWw+om4bZrMQ4Qwieqqqo62aXChhejfGftnqNWBFHWhfcg5qt66pIDcnEp4S05rrHe2uzQvJpzvwshoS378y2FBjH1CG7viM7K/fatc+NLXVHIjBbNVrQXqXTz9L2c6Odoq1nV0dsxNSXrV0cOIAhESRby/TodtKWFz/Qz+6hD1N6fGj22jxXjETJEM+dq3gWouRV4DuvWb8CTp9l5yNGjBgxYsSIESOeDV1g0P1nGEC0aobWOHU3yDii1T+6dEfBwbCvQwHf8fE+y7pjb2Sv/92SRewEse3b7D5oawU5YoR/5+u/jLt3z/gr3/RR/uJf/9eIwIc+eJf//Nf+FH7sh1/m4slDgvNM53OCBryLPiAa6q1gyXRkTVSVhKahnJSEZHzaNI6mriO9IIZHD97BWDg5vUVoHOIDZV4QAngEgyGTqEpRhaaumU6nACyXK6qqInhPWWZM5idcPFkAkcQ5PZ0SfMAYQzmZIOoAR/Q/zTsvFhCKosQYi7GGoIq1GZNJydVigdoMayIBom2Z11ZhpLtZIAaTzSjKGZPJBEkkSFFMCBhC00T/kTZlJQQwBh88pJSaoW2EEUMgmccSPUnUNwTXkE2iJ4uqUlVVUoisUXw8/yFwdnrCdDojKzKqzRrXxKC1bhyuUWrXkGUZZVkwn80QYlnaoAGPIwTl/PYd3nzj0wBMygnrzSoNPfl3bJF2Q4JEmGYZTIRPXu2XiP3n/5+/wrf/jb+2t7y7lozlP/3v/tSg3/bK3cW7j5SXZVSRVMZwmVJrQu0GfQpH+z+wuD13u3fksQ22PEJUiUa2Oz5J7c2K8sXZ/jNh32dke8zDZ9d1pMkwhSw+Qw5IdIZPlTZlq+uzJ3zafvvqPyM+S3juXMWzECUPgfdes/4rgU8/y85HjBgxYsSIESNGvDv06o02QN/9Y75/q9z/3X9YuXHcV6Bv0xUrPURuyG7bw8qP/T6HYzjmvXL4994+WrJo8ENIcWvorRi7QEyEYjpDxPLTf/IX8TN+6gcJqjinrDdrrMQ0G2syjBXyvKQsJxAEjNDUmy4O6tOIWhPIEL1KkvlrVKUEFssl85M5V5s1TbWgnExxTcPlk0uuFgvaqipt1eGggXwyw+YF69UKYy1XV0uauuLenTPOzk7JLCw3DVeLNU3y6ihyS1nmlHaCsRnW5DSNY321wvlEpiViZ7FYsdlUnN86o2kalqs108mUk/kJl6s16lNagSjGJiLKb5NZ8fBjKo73nvW6Ii/ymD4UwBqDzXNc05AZZTZJ3hTBRUWJEsvAiiErCtTXqEZlSawmEqu1SJbjgnBSRPWIa6LXTF3XiIllmEWF23fOmUxnWGNpnOPRw7dZh+h90VRRqxN8wJaWLE/nyBiMgHqJXjQZeF/FCyoE1PQVX2LazfCmMfRuH3FeJpllklkebxpIREQ7Z1/1U34ar7z63uFli6I8+NQn+Kff9Df40h//1ZyWxaD/kPrfJU2ePhBvi1K3V+rZh+/v9faBZG7c4qkqWnXqopvadJ3urGrnNap8NKm+tsag8BX3ZteMrVc6bSti9OA222RLS5wO53egPJHIqkb+S2hJEZE2jA6o+tiHJqNf9bGr8IIlH6NHyRDPnat4FqLk7wC/WkT+H7srROSDwH8M/Jln2fmIESNGjBgxYsSIdw9NqReH3tj2qo9WWbK//U2KjqdaPlBwXLfdsZSZQx4kx7BVTnUrzaclKNpfbft+u/aHtHOhYExGTHeJW6kGmqZBSMoC57h97w4ms2zWFSKGMs8JIeBdRb830/leEGLZU2OLVAXHRpNQF3j8+Alnp3MyazEmQxE2mxUPHj6kaTwhNGwISCgxuQErVMsrVCw+xPEs1xV3bp/xxR94H9ZaVAOnjWe9qXjzjbcJwdM0jvl8hnOBzXpFXdeg0KRyxHTXgzKbzbBGyPOcPM9xPpBnOeWdW12Z4zzLUOfQAEH6Eq8StM/hENDQUG1WVM2G+ewUEcNiuSBPHizOmOjvYCyNgiIYk6MaEJNhrCcvZ1RrDxoo8phik5UTbF4gtuBqXXF2RiKgwIdI5GTGYsTgkypGg8ejkUApJzRVRahrTCKjNMR0HWMMVb3BGhvNVokRb5Zlcd5ECCTlS0phCn6foDjkVdLDUHtPnQx35+95HyfveW2v1Y98758E4Ct++v+BZbO7j+gL019zn2kQ3pfIbWmOx5XblQkd23SAdpyDujDaN1QY2gUd6Eo78imE1pUnKnam1lBmw/u8x26VrSFJMnzeDKve7G4jST1ijNle3m6HYloyQlMKFZErbT1VQjToid9V4jGE6GHywk1EXnD3n2d47lzFsxAlvx/4DuDbgT9PPDU/V0R+FvB/BirgDz/LzkeMGDFixIgRI0Y8O1ojQmDvD/zhZ2rRrh38li5Qjn3sv4l9KsJiJ3X/2Bvo6/q7TimyS7B0fiVD41YZRnaHpPdsLesEOFtjiIF34zzex/KoeRZNP1erNeVkgnMOCNHY03l8qh6SPFzTHKZASaEsC4wIeWYoS0sIcHG5wH76Te6//DKzs9s0rqFpYjrJW2+9xXq9IcszysIym0y4dXbK+Z1Tzs6mFOUJq9UaFitmk4LlckE5mRC8JwTlpTtnPHn0mNXK45ynrh1ihOVihbXCfH5CCMpyXUXjWaJaYzIpOb91GvtR5dVX7tFUFZdXK6ZlnhQo8S160yh5QRcLi0YzYUWRoDRuQ1Dl7OSM6XSGNYYst1hjWa+XbNIJWFcNeVnGkNhYUItkCtbhXUVoPEU5oTyZp2ooGQFlta6oq4pVteF0PsVmGb6u4zkLgbr20UC3epvbt0+ZTGNaUVbksXoPEkvlEvCh4Pbtc+q6Ic8MjToa02BMVMVElYmACJvNOhrsSqrucyRCVZSf8Mqtg+seVxsuNi5dk636qDcSaaqKH/iOb+P09h2+8qt/Qr/uQBZI9PbYvq8OchuH7kfVLYJRQyuLgrcuFkeP63C6jUb1hPbPkBCSMqQjJ9Pzxhg0lVWWrZtQsZlNZaZjypWxNm5XZpRZTBHaJTkOjbJFa6i6S8LueZtsEa3bfbVkasfHDnYdjy2loqV7oy3O3JnCXjPS54aRKBniuXMVT02UqOoPisg3EMvq/IG0+Lekz+8BfqWqfvJZdj5ixIgRI0aMGDHi2dC9KU2/d6s0bLcNe0TE0L8kWrTGd8E3ByI9tnxSrlm/+/1pcWz7YZrN8Tf4ydRxd4BJcbKtNmmPOSpC6lQxJi+y+FZYMuq6IcvymD7TOJpq0/kPGAN5ZggaSQeMwWYZU5NRTqcQFDGGMs+wKlwuKh6884jVcslrX/Rebp3dYjKd8ManLdP5jIvliqZucD5Ws2mahtVqTZYV3L7zErPplMXVAu88D956h7v3XuLy8gmuqZmfnHLr7IT1pkJ97KOwBfOTOUWRRR+SDWTWULWKBIWrqwVnZ9F01RiDQVlvNgTvsEZ49PAx6l2n4AghoCGa0aoxZAZQgwYBHHlRcHLrHAHqzYZJWVI3jvV6RfCO4KOaI/hocNpU0TvEZDl5qRA8s7McRagbxeYg+JTuEuI2tSNMJaU2xfQb7yHgWW8ayiZQNTWn8xl3XjqnLEumsxOqKpYEFoSyLLGZJcNSFEWnDGiamqZpyPPo5RLTQKRLEVJShaMd3JB80l10TdOwWG0QQtePiPC9/+zbqNZrfvzXfQObOqqVdFBBpTMlTlVidv1xjGmTa4bcyjZxuuvZoW2KWKs+G3h2RCJB0jmP10tPOqY0noFvTdwyRKPcEKtMDWdnJzculigmljI2RvHE6kTW5hjbz+8xwuMQREjH85TPnFYFtjNr7SCPmU9LKg8d2gpXiSnqyaJoVCwccdQd8dzxIriKZ1GUoKr/AvhxIvIR4McQr6gfUNV/+Sz9jBgxYsSIESNGjHj36MtwXo+hKmO4bPh5k4h/t2TmTSTJ0+JYOk63Pu4whjC7+9cYnHTpNoM3w92HHguoIjUUUuWVSCYl+bx3FFlBXuas1hsChrpxTEJM54hB+hpX18S3zpbTW3M0BJo66iVqB5KXUfUiUFU11oLNhel8wnq54fbdO5ydnPDOg7f4+Mc+zeOrBXXtiT4NSrAGjKFqGgT4+Mc+yXRaUE4KnHec37nLbD7FEJhMy1R6FtbLDVaUxiuaxlzXTSpfHFUIUTHR4H3DZHrK48sn3L1zxmZTYa2F4HE+qlHW64qqqhHVpAjweN/OaQwCjbF4VUQDRRaNU71zuKqiWq+5aBoWiyVNtUZo5xk2qwab5yABawpUkiGuMamqTFIdWAMheopkNvq+rjYb3vf+13j84GEK4iO8C1T1BsmEXCzeVzx88ABjMzIb02yaVF3HOUdTNZRlgbU2pl8QUPLk62KTcigqBGzymokcWU80xWsvIClpZD/o7qGquMbxRXMLGIos77wv/sa3fxsiws/6t38md+dZH2K3wgzoSJstU2UBERPnTqFxFXmeE5QupWTr/kn3juo24aIptQRaY+J0t4hJ94hJRE3Aq2JEEmkW59N7T0hzE8kSwYfQK9cklm7uuE6JnjDlJHqxNE1UBpWTgjebw6mCu+ifbe1zLhzd7nCVmngPt9dyr2QzB9uLtOWw+xLVqqEnyZSOcIvtX7DkY1SUbOF5cxVPTZSIyNcCH1XVB6r6PURmZrj+JeDDqvoP3s1ARowYMWLEiBEjRtyMZ01huW7dcPF2YNBXzDmmSDmU3POsuPbN74F486CiRPY3OTiedi5Sy6aqWFw8ZHZ6jliD9w1CwPsav2oQMQTX4EJM62jqKpYVDp6gQp6fUExn2DzDuYaijKkg1WbNkyeXeAwmy9hUNfPZFFWlLEskCK6q+Id//x/zzsPHeAUX6/wm4iamd2RimJQW7wPLxYof+eGP86Uf+hLqynNx8ZiTkwmLq0uyrCDLctardTtJeO9YrhaU05LVynUVXoJX0DhzmTUYCQSnLJcbZqmiTuOaSA4EJctzinKCryuMKE7jXABIenPuQ1spRUEsi6snrBcLmrri4vEFVeOo6qgamRamC9BRaOoKDWCLOA4jgnOBalMhxlCUJa6JFXFCCBRWwDsWl1c8uXjC6a1TLh8/IgTFBcdiuaAoSk5nU8oiA+IYnaupqHGNZ7Wu8eowYlgslxhDlw7Smogaa1FVLi4uoroiBeJteenu+pL+S59scSBXJgXMmoJoaw3qNRIZAm+/8QY/8v3fz4c+/GHu3rsX1QiDtJw2PUbVbN2T/f0gXdqHtRYdqCpaFVA30kT4dIkvrYdH+jQiqU26143p9hvPnWB1QASI6VJtWpWWMQZjBeMTkTE4FhKBY6zBpj6bpiH41gPmZoPag8Rt2ndnVaT72xxK45Ouv/55GNfpVrvUe5eG087bkGyKKXihWz48hy8Eo5lrhxfBVTyLouRbgV8J/K9H1n9DWmefoc8RI0aMGDFixIgR7xI3qTKeZvvdvlrFRVraESbH93OUmniq/R5EN47dxQdUJIPvcmQsu94mcQOPUYOxWfQfUY93Ad95DxDVE8ZQ1RXW9NL+vCgpiyliLOvlAtdUBA0UkznGWoo84/HjJ6waxbvAbBaDw+VqzWa15JMf+xjr9ToaiybCSpVkRurxwbPYrHE+52RakhnhrTcfMZ3OyMspDx485KWXblPXFcGD80rdNJgsA41Be1VHNUo5KVgu11TS4FyDuJq753NOTk6wWYbzgaapWBEVKE21wViLtZagMDk9Z7Na0KyuUBRrLCF4SNdECC6lfQjBK0rNm298mqIsqJsGV9eoD4gxuCaZXmL6YFZBvUNScOk1YGwkiOqqJs9N9wbfkGFNTM959OABk/e9F0TI8oInlwuyLOPW2ZzM9oFs9JGJJEeWWWaTko03GIU8szjnyfMCEcE3cZwqUDcVl5eXsTxyvIj6KlLdBZl+6PCe2btqiWkqg+Qcr1gTCQWxhu/4h/8IgJ/+dT+TzFjE9GbFqgHpUlGE4a3Tpr2k5I/+vCQZSmhC78VxgPRs743hoUgy3WkD/TYrpz/y+CNoIoxEEE2kQ7qORUyc9/YaQTG010usYpTnkdBxznUEoUgkhSJZsp1+s5WCtONhNGynrdqs+72vpuuPZqDMGTw3XBMlLdb28xxJj3guRSG0BNNgu/Z3Sw69aKLkRQtWPs/w3LmKZyFKbvpfYMuz1KgaMWLEiBEjRowY8dQ49Af/IfLioPnpAWz7FhxLU9lvv72z+J/uLe6RcT+t2qUjZJCO0xiSNP0b9F6V0ItM2sSB5FGi+4HScOAKONdQVRtCiGHZpm4gVa6BpCwIhmpTcfvWOVWzBgTvGjYa1RlNXaECGoTNaoF3jqbx+ACbymGtIfjAdFpw2VRcXTyhqaoYEJPibAWXyISggk0BceMCV+sNt09meO94/dOf5tX3fRHGZjy+uKTMhOVylRQQ8GSxokmmrCeTKS+dn3Dr9jlvvvFpLq4qcmM4OTshy2wih1JgixCcwzUNYmxK2alpfIBkTFme3EJ9oFlfYqRNRxGKPMNIUi2kmBx1BGcocphM5ywXa5x3NC6gGk1Rh0yX95425jdiyLIc76NXSAhRzZBJ9CExEuu/LK6WuLpmMptzebVAFc5v3yIrsqiKECH4Bh+SD0iI6TOaCdIoQQTJM7yPxrxFkZPlGZrGs9lskvFrTOnQEFIVI0Po/DoAfbpgWHRAP5pEQgj4EPjn/+gfMTs54cf/lJ+MJIKhvycGNb7jRR1pvuTzkiXTYTGCV9en0iSVkjWJ9OhyeGx3/Xd3Q6s4kdaLJaldhu00kT3amrW2K6LprSWRGCZgkP74vG/pCETAWpvMW4XKRzLPiBCMIVa76S5K2Ll3r3tmtNcSBCSlvfVEznYf+14n/TNQBKwR2sJGfXvtlGzaESz7z5dOocO7J7CfGiNRMsRz5yqeyaOE60/HTwfeecb+RowYMWLEiBEjRrwLtKKLYfBw3dvT/e1T9QndrdCgg+CgfUucvBGO9LlrMHts/S52lSq734dmlztbdm/cuyioDdJJVVi6uHKolKFLpUDjW/EYjAd84wjBIxIDVR/ie/Cg0bujairqak1mbTJadRhjmc1PyIsiqiBcw3KxYL18RJZlIDHlpHEOlo7Lx0/wPmCsQcRGjwZjaLyncp6gbZAWjT5DUOrGs6oaMmvYrBrq9Yp7L93m7bfe4ZX7L2Ospapqluuai8t1rCIToJxMefPBBS4EJoXh7tkkViTxDU1Tc3JygrEZxlryPGez2bBZr5jMT1ltNmw2G4L3ONegro5GtXmBPb+Huppm/YTcxqDWd6bBcY6925DnOfPT25ycnVGUU9arJW+8/mmuLpepXHL0tjAmBqmT6QSPYbWKxE+WZTTOoc531YVc48lywYeoOHn48BH3XnkPTx4+pihz7ty5w3w+SyoGWF5eJRIm4JsGEcEaE5UuwVPkBTaHutpgk/LCeY+SxmdMUkIQU5ZEsMY+Y4A6YBEH21kbU2D+9b/4F1w9ecLX/dyfG6+jVsEy3Ie013uvKDGtZ0pqGhU58f4xxuBCk4iPeC216g4NoS/pPEAkqYb3+LY6S4n3S0zjkcHy9PwQE318QiQ7jAh5UVBVVTT+TfdgltnuGDQphYLGtBtEsJmNTNjTzi3b93b7XQdr02Nuj3jpjmHnuWmznOBiStnhZ8/wp3T9duk4n63UmxG7eK5cxbVEiYj8RuA3DhZ9o4j8Fwea3gbOiC6zI0aMGDFixIgRI14gNL1xbYmAdtnwj/q+us1OScwddGHRgGjppeiK6rbcf2sMabuWeJADAdjueIbb7o7pkDrm0PLtUGjYtn3f25I2urXR9r7SEarDOU9b/aKVzSvRiFVEyMuQvEZmeOfQoIQAp2e3mU4LMhtTaLw1oFBVjocXF2Q2I88tWW55+PZDqqqKxESWRcWDRpVCYQ1eAwFD42IqS2R04nhc48jLjCY4Hj56zPve916sET71+hvcu3cXazLKErxe0vpUBPVs6sDrbz2myC3zIiMzIGK5/56Xmc3ng1SlWDZ3vVrhGsdytYrlgp3DuxqMJTQbRBskKyjmtxFjkXpJ8KsuRaMNRlVjSsXJ6RmTcootSoqioCxKFssV1lre+PQbLBeLWF3IxPPgg0mpGZZyUlI3dayQE8Cr4nzAZhabZQRVvHdsqgofFMQym83JsuiZIR5OTk9RhcvLR7TKkI5fIxImd+/c4epxw6ZaU1U1ZVlSNYFNSr9oVS4tyTKZlCmmfxa1wLbkyhiDTek0//Tv/T0gpt1s379sWXu0E6wpheXJk3d4/OQxjx89Jssy7r/8Mourh9x7+b3MZucoyYfGQJQ8gXMVzjcUxQxjsn5/xkCX/rLtJwIpzSalDonpfVJUTbwfABWJZX0F1IdIQtY1nWeHKiLxvvHBk9mkqDICPhIwAnjnOJYd0T6jQmgrBrXzFWhVIVvT1V3hOlyY5nf4vNyJr7eWy966NuVJB5qboedT6wnzogUlP9rxormKmxQlF8DH0/cPAA+Bt3baKNEs5Z8C3/gsOx8xYsSIESNGjBjxlJBArNBwZPVT/lW+RT5ckzKTWtMHC7ukxIF9ptSAp/VNOUbuHOx7F3vxy3CMuvWx973bBjS47k27prfvXTBmk8+AwMlsRjkpWG+WLK+WFJM5RZHHt+hJdSPGItYynU2xV0tUPEYM1aZms9lQ5DmZFcpJweVyhSoEAoRI8eTW0hakrZqAdzHgakKg0ICgrDYVjx495r3ve4WrxYr1ZsP5rXNWdYN3URGDKrNJgfeByim1V8Km4c5Jya1bp8znJ8kHA1Tj+cpszvzkjMvLSy6fXJJlGXkW1TPGePAONWBDjV89Alcj+GT2KTQOmrqOJIV4Tu2U9XrNerNmfnJKZiwXj9/BZAUnpzPu3X+ZutqAmLidczGwt0Lw8TxMJhOqqoppQqR0FQSbZSgwP5kznZRoMs6NKTLxojYST7BLaihMJDxiGtQUTCTDxFomJ6esrp5QlCU2L3GbRRcCS1JjFJmNZIm12Mz06gTpq5wcu0wPeUkEhauLCz76Xd/F+7/kS3jfBz4Atk09A/WOJw8ekeUZs7MzNAQ26xVZXvDo8UO+67v/Kav1ktopd87vMptmfPL1f83V8i2+8sNfC7TVa5TF8jGf+MRHeevBJzg7vc2Hv+KnMZ3c6oJ8SXPbmrBIUmVB9ORp73cjplM6hZSbIul+aavgxFQcCD7Z3kqqFONDzGoLkewKqlGxk8xiNYSkWrlZrrN9r6cRC8Qy362abIcckf7HkKjtzWN3lx1T57WGsf0zRre21VgW/JnJtGfDsevqabf9AsnaueAFchXXEiWq+qeBPw0gIj8C/HZV/evPsoMRI0aMGDFixIgRzwHa5ZakNJfjJMN12CYihvUvttvolvHpwY4GqwbvbQ8oWYb7fVYc3K5btB2gbLUdpN10hpZbXgUABpEMtOlSctogSJDoF5EXZMUkVb5p2KzW1I2jmChBPVUVurf31WbDcr3GNVG5YETY1I5mveT2yYTzk2lMIakdZZGhxnK1qfHOIQqnJxNuTSa89eiSR25DlbwwQoiVcEQEDYEH77zD+z/wHu7eOWO5bmKQ6l1MrwDy3FJkGcU858nVBpsXqG/zGdL5H5xXYwxZbpjOpiwWC7K8xIeAxdA0NXlGDJ1DjYYM8Cl7I6oKghp8aPDEgNt5ZbWuuZcCbyOCzTPKyYQQDJnJmEymTKYTqtqT5YaizPDBxP2oTwF1xkSE1WIBRJWKYDg5m6EhUE6mrNZrXCpRu7i6wgjM5vNYRcVYjDWczE9YLK8ILvq3tHG2bxx1VbFZr/FBKcsJzsfKPoIB9VEdYUyc/xRUF+Wku/okmece9eJhPyhVjekp//Qf/n1CCHzNN3xDJHKUpOCKJq+37tyNhJYxNFQsVpd84mPfR+Mr7r10m5fufISinHPr7Byb5dy+/TLr1SVPnjxiNr3FerXmwTs/xA99/DtZrytee++H+LIPfTVFPt9TWHWSIIlkRTunw/tNRAiBriSzaFSOtPdfapSui9ZM14DG0sBtdRzvfZdWF4IH2nQz6Usvbyk1dhRlrWfIjopk1y9Edpe1RjgMFXT9gyE2vf452qrtDnkfbVXC4d0/854KUcbz7rf9AsCL5iqe2qNEVT/4vHY6YsSIESNGjBgx4tkQJfGD1JXBW9MbvUMOkRdDk8Kdv5zbGCC+9G23awfS/WfHweCzg5vMafsF7GbebEM1KnTEpHSREAPURDYgMSAU4tv/1eoK0YbNpkZT1ZbHFxesFgsym3H/Pfd5fPGYalNjszyZYYL3gTzL+JL33+XO7ds0TU1VVazXFVXVcN44Hi9WbKzhQ++5x8l0ysmkZPOJN9g4jyMG94pirEGD8vjiCZvKcev8hDvzM6r1hpOTOaebhklhOJ1PEWtZrRuCgklKHyMmGXcKTgGNxpur1QZFybOc2WxGVTsuL6+omxVFbnCuxhgbA+PgkRBNWWNqiiWowWZgTE7TNEBDnmdkNuP87u00z3DnzksYE81HF1dXTKczFptLrC2iysAJRWnxYQ0C1hhya5DZlMXykoAlEDhNhFZZTnjn0eOo+Mhz8jyntS5drVZRWTOfp6o8hqzIUHHUyzWzkxMANpsN3jnyPGc6nfLOw4eARoNaY6JKBVindKS8yJnNTwYpHNsKqIPmwUMnV5JKA+Vn/3v/Hj/7F/5CRATnHLnNELHpFhOyPEc1EFR55603+K7v+aesNo+Yn5zw/vf/W9x/+QM0TUO1XoGumc/OKPMpoKhrWFxcsF5UnJ+9j4985Zdw9/Z70zmLhFvHGCVpmRdNqU5t6kgylk3pOJG0SyWUjSW4mBbVuRMJ3XPFWov3LqXUSG8O65MvSQjYpNZxncdHGlIn1th9Lh37PVSSbafLCC0holvPg8PE1sCk9wg0DXJXZbI9tt4v5oXiC4TweB54EVzFs5q5jhgxYsSIESNGjPgcYcu49cj6Z/rjfECI9Ohl7YeUIf2mrQPA8XEcM2p9WjyLQiYNqn/7zXWZN1GRY7MiEgmGGPgTPUZUwFgIQaD1LgmB4B1KwNiCyXTO6XzGZjYnzyxlWXJ+fjuWOsXgHjwEjb4XuUnBohjKckqW5cxnc4zJcN5TvPE2K2spDfim5u6dc8pPv01mDQFiUBtiCoNYoWo8D955zO1798iyjNUykJc5t8/n4BusDYnA0O6Nf5s2gREWywVVtaEsJ0ynM1Q91mbY3HJ++xbLzYbwJFAYMCiCRQn9uQQa56kax7Qs8ViMzQkSSxsrFoxlcXXF/GRGVTfUdfR4KcsJTVMRguPR4ydM52epvLKDROQYI9HDwsQ5y4qccBkIKhiTgQg2M9gsZ71aocGT5xmnZ2cIMW3q/PZtIKoXnGuYTCZRlCUSSSNjYtWjzQabVBtC9MiwVmLhIx9iik47j6oYIu+x+zL/eNUoJXpobKdytGlE0c8jkWAZeFcnU1WzdV++8p73c+v2S6xWl5T5hLKcElSxWcZ0Pic4F9OeMNjMENRz95X7nN69y2q15vz8HMTgEymYBh2VM+luiWqRSP7kWYbpSmKbpIIhmd4m75aswATXkSuS0p2Eln9UfHBJ3dUfd2uaHDSW4/bed74nRsweAdBXkumGDVvPnpbg2Fd6dKlMR87OMcVcqzjr+hgo8YbPvTDwNurSYdKyF06UjHiheCaiRES+BvgdwL9FNEXZo+FUdSRfRowYMWLEiBEjXhC6P9g5LO8+pjI5bO7a9tT1zu6fd9vy/LRX4ShJcnCsT5ki9NT+JDvYSq85NpbtLQDweFQKxGaoa7o51aA4r9QuUKhQBkXxVFUNRsiMIc8sWWY4u3WGdw2XTy4xYjg5OeFqsaCqa9brGmsteVGy3NTcDp58OgdnMECW5UxEeN+rwptGmM4nLJ8syTLFKEzyjKA1LtlsKEpmM6wPfOLjn+CDH/wg2Txjs6moHWyqTTRfXWh8468CGIo8xzWOyWzGbDalKEqm01kkIoxhOpt1qRCNwnpdIRoigZQCYO8Vp0qem5SCEVNUXHA0zpNNCoIP5EWOmALEsFwuWV5d4YkBZayAoilotiix+guaod5jiOVu60rBKFZsDJyzWAVHVVCvMTVGopGobxx5XiBiCSHQNHUsv1yUlEWB9zUQq63Esr81deOpqgZrhfVmQ2ZiNRtF+wy3VjkAiCqZtThVTJaxdXle61HiiSVvjzWRTtRhjEE0pilF3472Su1VE9PJnEk5w7um8/IwIqjJsEWW+okkoIYcAbIMXn/jB/j4pxxf+iU/lsn0hCEBoAK0KTSJaLRRHtTdNDpUWkh7/0SKBbEEE3uMvjctmeYw2KSeiek10UA2IC71qw4NnhAcgkXsIA2GwCFT120ipH2e7abhaLduf5tDz8hdNdAwfSgkz5N2f32qUdf/lrZOO/LkhUs+RkXJFp43V/HUNYtE5GuBb007/mdp228Fvj0N4nuAP/O0/Y0YMWLEiBEjRox4etz0R/913+GA8mIPKTho/+w/mEqg8C7ekg6Dil3fkuty/Q+N/1DFnEMlPIeqmJ2OuiYxODeYYk5r2tpWOGlVB955UJdSMBTvPKv1mgePHlNVFeqjWsQ10RR2vVpzcbHg8ZMFtXNRKYDw8KrBYXj4zkPUh1i2NsRUlswYbs9PqNcb7rx8j+Vqxdm85KVZwd3ZtCuhm9mM4D0icHFxxadf/zTOBa5WFct1hUuKgBAimRDnCxrvCQIPLhd4BYxQFCUGQ/Ceuq7S23/Parlis1hhjVJOT0CEIjfMphlFaWkr8Qj0JWfVob5GgyfLJhSpzO16veLx40fMJhPm0xllWcagMwTqpo4leFU5ObvF5Owl8nJCXuQEAnWqmGKskGUZxlgMUXXQNJEoWS6XUeWQ5zgfqDY1dVXhvcc7F9NqkjeLc1HB8tZbD9hUNVVVJy4kpp1oCKw3G3wI+KCJ0IkpPbfOzpjNZkxnM8pJGVOhbsrRGAbK2qu2onKivc5TpRkS8eRdd32aZHTapqe0V3HwPqVRCUPCUySWUJYQ0KaCUENSAVXNgoePv4/v/J5vZbm6AKIXSNCklNJBqo2J5EQIgeAD3sd5EBM9RnyI/jEhfQJYY7tyx90tlipHDUPV9tjFxLSq+LwJne8H6LVmrnvPIiJJ0qpJhg+2Nt1m95k49FLRVgkyqPTTVc/qnhu619f2EPefxyEZQ79oiL67f1+IeBFcxbOoP/7vwBvATyJeEW8D/6Wq/l0R+dnAXwJ+/bPsfMSIESNGjBgxYsTTYZdoFEqx4gABAABJREFU2P1792nNUzsKYZCmQtdjT4QMU2tS/Y9nUnrsytWPBZbX9fks6TptwJni3uv3K2DEkpUzAkLwDWKi5D+mq6RAmbYcqUcMOOepG08dPAFLfX6KEVit1lSbivV6jQKLZUVeFMxTRRlrDZUafvCHP8W9sxMW4RLnG15+5ZUYVDlHbg0uz3jjjU9zebngtfe8zOXlFR5h4zw+zX/0UYkKjR/+4Y9x5+V7BOjNXnvRD2gMfOu6iQF+CDy6uORlKwTrWVyt2GwWBFVu3TrHiGWxWCJ4FKibOpmcWrLc4JqoHmkaB5KRZ0WsWIPifYMhx9o8em40DVXd4AM0zqGuQYucqmpQYDqbMz+d8eidt5mvpkxPzsimc7KqJssKXLXCuZosMxRFye3b51w8egyiVJuKLMtYb+J851nOdDphvVmDb4hmsI48LxEjVJsNi+WGpnE473BOaZqGsixRYvBvsxy1bXpUSW4zvHdkmWCsMJtNaBoXFRLBp2hZQW967yzoQU+LgCK9giQF4hoUj2IHYgqfKsxExYwjL2LVH1FNt62nXl7x8I1P8ujtt3DVirKw3H35PjK/w6svfzFWDReLd/jUJz/Ka1/0VRTFjJYYbe8fJPWZxpqotq58b1BNfi/pGFp3Eu0EOCn1LMpyxNhY8UYjKSQqfcUcm+YgtKoMn0oQPx3B0PmObC/d+q4Dgmq7VfssjeTooepbbQnilkzrFD47hLUOnqPx/MVluyTRC8EXKOnxLvHcuYpnIUp+CvDHVPWBiNxJywyAqn6LiPwZ4A8CX/8sAxgxYsSIESNGjBjxLqDapd4M/3i/LuUmVqDQLRIESGkd3RZ00nVI6QeaAoqb0mL6qOFwpYp3h6cigLaW77FAu60xWcZkckLjPZtVRVuJJKYtRMm9DwabfDq896w2nrwouXv7jDzPeXxxwfnZGXmRc5afsV6vubpcMptP2dQNZREDxsxY8iLHBc/lYs3y0pHlFu5LikYFU2TMp+fR+8Eabt25xfRkQgjKYlPz+qPLlq7qgrAnl5d84mMfo5zdisTOoGqIBkWsMC0nscyxEarK8c47D5mXFhFDVVcURQnGsFqtYvqJdyiO4AOb9QaD0PiACx5BscZSE9UzYgtCXUViqa6Zz0ucq3E+kil5WXJ6ekZVrdFWuYLh9NZ5LA2rSrNZs1KlaWqyvESKEmNjGo0Yw71793HOs1pcAdH/pXENjXNMRLh3/x7zkxOsGLxrOEkmrd55ggbces3Fk0uMyXjp3suc373Ler1BVXGuoXENwXlMvcFkUb0ym0yw1rBc1tSVjxWEilgueXG1JM92QqguiN5RPaR0KaTTaaV22l2irZqhJ0BDTJsSCC5Ec1wDmVhUA9b2pXR9UOqLd3jzhz7Kxz/2CZ4s1lQ+9j/NlHtvvUExmXHr/R+ksDllccp73vvl8Q4XbZmQbmwtoWHUANqRh6qCb8mQAB6NqpCkdFEguqNoR+SppnLMRhG1gElKmLybI5vlce/qQUPinlK1HO1p2t17+ZgKrT0H2yfmpufOUC3Sq1T6ZaZrF5Uyab3280Z/OntyuGNLRnyW8Ny5imchSkrg9fS9Sp+ng/X/CvgVz9DfiBEjRowYMWLEiKdEa3bYS8cPtOnZjO5z903pkU3j+t210r5c7lNZjlWL2B3roe+H2jyLamSr3yG7c0NW0dDXpW0lKN5vMECRZzinMX2GmBogPto0nJ7NKKcTkJzp6UvkeYaYWLK2qh2PHl9gjWCTOahznpfuvUxQePPtd8iyHOc9bu1BoZwV3L17G+oKQnzrLTaL2/uGdq4n0ylZWQLK++5vWKwqrqoqhnKqMbVB4WMf+yTveRVmJ1NUWyNMQawwmZTcvn3GYrlks16zurpENPDOg4fcOj/n5PSMspxEUsg51ss157dv8/jxOzhCCmo9de0pcgvWggREPM55jKSg3ntEDLWLJX2jIWuURDy+vOT26Yw8Mxibk5dTUHj48BEPHz7E2niRrVdrpnkN9Yq2IMt0MmO5WFDXVfQ/yXOqpiHPSm7fuc2dO3doNgs2i8d4D3legAYmk5LgPVW1ZrNZo0GZnUbDUzGW87NTxBo2m4rVaslqtaGqHSarISS/EDH4pgGgqmtEoGmaZCJ7yDvjqS7h7iIMGjBtED5I8zDGYo0loNErBAiiyZtFcd5FBYwIb/3AR/n0D36URxcLNk5xKrgQTVkbrzgN3DVwS5W33nqbJ6vHnJ1Mec97vhi1gphJ5Eq0Ta8RNIBP6TDSqj3adJJ0L0k8AILE867Qpcy0Xi8+lf2Nd6q0FARiDLYoMSL4psKYLKahJeK3TWvqSadE2t4wwbvqsW2/kn7iW+VM+z2WY95W+/RPiu19diIi3Sa++rbbKpeb07M+Q4xEzBDPnat4FqLkDeB9AKq6FJEL4CPAX0nr3we4Z9n5iBEjRowYMWLEiKfHlux7l1zQ7j89IXBAVh6Xp8Blj58YBgl9f0Nbu33lxvCvdTNYvu0pcsyb5Dqj1+NkyvFgplsvu6t22BRVXLXEAOo8opAbQbKMuvZkmaWcnTI/PeFkfoKxhqqO6SSTYgLGEnzA5jngqOrkuZGVrKuaW7fPmEwnPHznMReXC5xziFgWonzoi15hdeGo1hUm+W+EAHVVUa3X1JuK4D1ZnmPE8PJ7Xsap4Qc//Q5Prq5imV/1eIW68bzzzgPeU76KsZa6dogIczuhbmpe/9QnaeoaX1cUZYEQU1fysgCFzXpN8J6gnnIyxeQ2Bc6gIRIFXqNmQD1INiXPhapeE5oGMRnW5BTTOWKyWELY11GxIFBXNY+d4+69czIrBPVcXl7xsR/+kehzYi2uWkdVSm7IJEPyDDEZV4slIQTKMqecTVlXG1669zLvefU+TbXh6uIhVd3QViuyNrBeLWnqVVReaKygk5c5WZ4RQjTklVBQzqdMpxPyPCPPMhbLFU3jsNbSNA1FnoFGY87GOZqmpigKJpNy+zq6gePbuwzTdW06X4zQKbWMscn3JXT3cwiBJjhCiD4mi8WaEDz1mx/jrR/6fi6XFYtG8Ro1YIZIdHiFlYP3nJxSh8DJ6R1u3ztlOllx8fA7sRf3UHOHs9svkZczwCAhJI8ek8r6DoiSnWeOoqmCTnt/gtd4fmNVrtQ2lZUmEJUwEp8SXkMkKYzFaIYPvjv+nQwa+ufMzYRJ9wzc4YyHBEnbbJvs2H2+pKNMZcNjn61/0fYA+/SlqMoJIeA/Sx4lIzo8d67iWYiSbwe+ZvD7W4D/q4h8nHi9/2dE45QRI0aMGDFixIgRLxCHygNHif926cobA7muk12C5PjytspEDEIM+2HgdvBxsLTwU6pIDnkHtOab+8OVgxRPjFQ1RhUDBkk1IG082lUmUSTAbDJFs4JidsLs5ARCUpsolEWBETACWfKKiCVNlcbDZFqw2VRICGQWXn31PpPphE+/8TY+eDaNUNUbVpsVGMPJ2QkKOFdRrzasVxuqdYWIiYSIgJQz3vvlX0529z7f/70/wDuPHqF4vA/YLKfabHhy8ZjZ/IT1pmY6nWAEfF1Tb9apmgq4psF7hxFH0KhOcE3T+XJM53PWqyWEJgXFEoPb4KnqgBElAySbARu8i1V8JmUWA+xUxUTxca69w6kniPDkMsdwRVU3PH58hTFCWZbRwBQl+HhdtSahJivxwbFcrVitlMxYPvAlH+LsZMrFo4c477GpD0nRsIiAyQi+IbcGk2fJuyYjhH4OLuuaEyArcvI85875baaTCcvFksY7qmpD8JI8N2IKRZZlFHneaSS0vbYOlP7tgnm1oCaVjO0vzFaREFNMDMGHjiAQm2FMpFcCgAFXxQpDQQON9ywfPyC7esikyDmZeILCo1VFExRRcIFYoaiwZLMJm9pRTjMeXa548OAJp/MZJ/MGsU/wIXD33nsxJkONQWxKu5HoJxKPKY5bBsRrm1rTN2jvUVDReDztMslQCWk+Pa6rfBTTdAx5MoY99gxKZMQBYmCYWjic/55UHhCqgy4keRptEzHt+exL/m6jN9/tro0tfiX5rqjG1JsXjX2m+0cznjtX8dRVb4A/CbwjItP0+3cCa+B/Bv4UUeLyW59l5yNGjBgxYsSIESOeHluVX1IOvLapFgOiQIdR2QB7lXOkDUEG5T+395iW94FEm4qzXVqz/bf/hva6qjzXeQ0cOu7+kHRv+6Mhw4BU0T5KApJnS3vsEh0w0IBIYDKbICKslwuW6wVN49G0jfcxOL1z5yUgmrxWTcDmBW050brxbDYN3ge+6Ite48f/uI8wm06pXcP3fvwNPvlogeSWi8ePuXx8weJywWa9oUmqFe8DAYOZnzM5fxmbz3jp3st8+CNfydn5rUiueN+pEVzjolIkzxACy8UVrt7EqikGMJH0IKVRrJYrZvMz8rzg4YNP44OjPd+xWXzbDyDGxPLADryvWS+e4OomHqvWGL9Gwhr8BnVrmmqDeIeEGldvQJX1asWjhw9YrdbkZYm1lhA81sa0pRA8rXlu09SE0FYMMqhknN+9h4bA5eN3EJQit0ySUiTPLTYzGAvFpMTkBbUPVJXDmCwqfUTYVFU0n/WOpq5w1YbNckVVVeQ24/zWLWblNJ3jaEqqIXp1TGdzJpMp1tqdiy2pl2Tn3movOwWGBqVtOlsiGoIqRuI59Knksk8pWSEE6sbjQwy+fVC8D3invPLqq3zZh7+ce3fPmFp4aZ6TiWKNkBtDbgznt+YgxOui2HAyF85Oz6nWJc4pwVfUmxXVehkJruC3vD5E2n8p7c+H7r4zEtNoYqqQIXIm0Yw1+uTI9jGbqJhp1Rntc8tai7U5WV6mVKPdO/l6wuFmz6IBCTJ8TKUxDX1i2mPbfbbsVtpqVSqHhqfCVhWhFwp9l/++MPHcuYqnVpSo6t8G/vbg9w+LyJcB30AsEv6PVPXJs+x8xIgRI0aMGDFixNNhj0DQFKB1gUV6qzrQY++IKA73u/ctNpSdt8TSBYLbKpFhRYhhP8Ngon3re5N3ybHAYktZInRvUqMM/vBxHYIMJkOQ6EUSonmq96EryZqVE4piwnJxlQJZQ8gDmZSojRGkwTCbTPEnDe+88wCxGadnc5arDdYKTVNhraRKOMLZ2Rmvvuc+n/jEJ1lUnizL+Z4f+CR3c8N0XnJyOovkh8kwhbCpPHdeuYdkWawag+KcJ8szPvKRD2PM9/H6p17Hu4aNE4qJJysUt6mogOmkZJLnqVpJPC0afCKHhM1ySWYtlxePefLoITafUE5P45t9k2PEElyd2qf37D6wqSLREpUP4Js160YpizwFiNH4NssNohYjinM1VdNEP4oArtmQWUNeFGgI2FwwjQcxOBcJm6DE9BljyLOM+/fv8/jRAxrnmc+neB/9ZLxTyGMQbq3FGCGbztAQ8HVFUDi7dYYYwTVR8RMJmYbNusJai8iUYCyqQggODQ5jbacayWyGySyNa6LaY+uCbyPvfUautTrVIZeY1rSVpDQpKawVatcgwZNnORIClYtllNvdLS4XrDYVZVEwP51gM+H+ZolrGj751gVlbtnUAZ8MV8vphHXVkGeW5TJgzARjLU+aJZuqYYIFataLC/KiwFD0Y5dYYakjRcTHFCwfMK1HS5fO0hoga0e+hrb8S2qmqvh0L7dliSWzMfXGWCDgtC1p/WyR/XXpON1zaJDR08596+E0LA98rP92H6Y7r4fGoLGyj/rPjqJkRIcXwVU8S+rNoQEtgb/e/haRD6rqj3wmfY4YMWLEiBEjRow4jF5ebnvios2Ppw/MdreJfMqBNJjAXvv9faW9qBl8p1t3iCTpVSgH0mZ49jetu9v1BrNPwZPIrmRfupg1E8FbCxoAk0Q6AhqTK1yzjmkDxhIaxauQWQsiBGCxXqEiTOcn2ES2FHmGMRoNMTE477m8WlI1jkA0GnXekZcFaxXeCoHJ2nPX1HgM8/e+HxOUW6++QjGbU1XRyFSMIKIU5YTZbM6Hf8yPYblYcHW1iIeVlA+ucRhMTL1Rj8HgnSMER3ANWWZpGkNdrXG+IcsLRAyz+a0uoLTWEFysRNKySzGg78+H2JSAogCGuonlXfPcgEQFirXRI8T5QNV4jCH6UBhDlkVFiSYiytgMxIIR8rzEmCyVozUE4ME7b1GtlxR5RvCBaEDrsXkZDUJths1yBMFaQ5blMJmmMq+WEBxlUSZCDCDgbQzmm80GMYaimOCbGu8dZVl2pq55nqdrmFRdKN0DGq8v3YvnlThqG6+3NkWiIy61U4CJCC4EKpdSkBqPhtiqcQ6f1Bnex5LNbfndoApByPMJWZGxqWsskXBoVJmfTsEY6ibOla4tjy6WqDqa2jOZFmjIsJllMq1YL58wO3kpplolwhCI5Ys7/kfxGjAhkQwmXmchaJ+mk44zFrmRLs0oJLYuqHQqqP45IpiswLRz6LvpGjxF+l/HOIhDKhDV/WfiljIP7Z6lx9q0c3EjFAiKCSSW+sWSJaNHyfX4TLmKZ0m9OQoReb+I/E/A9z6P/kaMGDFixIgRI0ZsY/ut6ZFUmQGB0KXfHFNdaC+p76mDbcWHJJ+K+F07oqQfE2x3vt/PzcdyGLsKlOPbHXi7u/VtdzwpoDMGJKpJrIn/jEgy/4yGnQZwdXyjryH6SORZjhUDBBpXU05KirJgtVqT5Tmz+ZzZbEKRxyAyBoqxrXeOoig4m8+Yljkn8xI1hgrDwxoqO+Xk7Bbv//IPMTm7hfMxnaYsC7IsI8ssgrDebCjLki/90JdGIiGEaIaZ5qwsLD4ELi+XgBKCw7tIWkTVR8A3a6rNplMMlGVBnsUyxkUGk6JIfWuvAhhMuarifSw0HckIiSWPiXMYUumaSIDECkI2y8myLBI5xiAIuc3JbBar5RhLngiKOG4fvVRcw5OLRzRVRd0o602DtTk2L7Emx5g8muuGmPZkrEUAHwJZlpMXOXlWIGLJ85wszwkBbKuW0UBZFjG4N0LjooeLALmNShXVVC53ywdot/qJIhqSXqQnR9p/naJBY3WX1nNktaqoK0cIkXTwIabbYAzT6QQBqk1N0ziaxlH7kEikeD2elRPef++Me2dTbs0n5NZw5/YJVV2hoSIvGi4vF1xeXvLyyyUf+OAZ06nlcrFBNVDXDYurC4KP6VQ7N2I8j9KmqSnOuZheo7ESjjEpHSUdoTGGzESCZajACKrp+CJhgvRVbiApd8yh+7l/rjw7N9BSyAeeSdo/R4eqEdn53bbtCefd/rch15A5zxXHUmtu+vejDO+Wq7hRUSIit4H/I/Ah4BHwF1T1e9K6+8DvB341kAPf9mzDHjFixIgRI0aMGPHsaFUkKYDY8hXopfPQJwa0f/y35EeUnpuDXiH7lW3StyQ5OCQI2e6bwee2AmS/330ypH0TfVx5cnh824IaHXzooEncNismmCxWj4my/EiEWJtRTqa4VPWjqRtsPsFaE/0pUoCaWcOknMQ3/CmIyrKM2XSKb+oUlGg0rAwBCcqmqtHgOPv/s/fn0bY0aVof9nsjMnPvfaZ77r3fXF/N1V1d1V10A82M2kA3wlqLpQEJgxZmLWxkIU+SkWThAVtGMgJLZtGIwUYGeYEwLARWN42NoYFGgJqhm567qS665uGb7nyGvXdmRsTrPyIihz2cc+9X362q25VPre+es3NnRkZGRmad94nnfd4bR1ysasqiYDbztM7TeI9pHaiyXq5pTawMcnR0GBUsbZ28MxrWqzU+eG7ePOX0xg3uvHWH4AMhBKw1lLOCy8s16lvW9brviwFRpSoNVgLLi0egMShfXV5y4/QGhTEUhcEiiJmxXq8BxZYFBqFNprb5PzEFgo9pK0qqlhKpAmMisWPEdOoTEYstY/UQY2yv1jBgbEnbhqTaiGlRzgUKazBJKSImlr6dzU9YrleYsooqmkE2SPAeUxjKouyCcR88xkYli6ri/JJ5UeFbT+uiH0xW5TRti6zXHC4WKFBWJd55mraNbdqNeab9vJfodINih3qqkfIrPnOx2k3jXDTuNYJq9CmRoFRlLLOMGCQRWKs6mvzWQbn/6BzjVlQEFrM577p9i/PlmtIuWcwt86M5y7rhlXeXiLmITrYmztf1eo2GECsAySl13QAF3rWU1TwSIFk1Ap3p6ugZTSlI6jymsGRD3extYkwqC2wUfDZjzfsY2HzHaH6NjdfxO0VJp8p5/Eh/pDDZoW7TnALUvbe0I0Rko51cFllyF7aFKl3/sqHr08akKHm6XMWVRImIvDs1+DL9fPlfi8i/SBRF/UXgJvD3gP9YVf/2k5x8woQJEyZMmDBhwpNhN3kgMcNkI5jJwUj3B7UMCA1J697GoP7KM45SbXqFxmAFVtiT569pP9kiS3pSZxzAjI7eS5aMBfky2H+nmkU3Qx+wZcXB8RH18py2Xcf4LKR6FwLqHQSPaqBtPPbA9qvdClVRUhUFAcUay3w242g+p7QFjy7PexNMHwkXQVM1FmG9biisYd1Gk9GyiKVoDw4PqeYVbbPGzuccLBbYosIHh7UlZaGI1FRVFVNynOfll1/i3r175FCwLA3zsmRtajSYpPYwkbgQgzGKlbjqv7p4RFHOUA3UqwvAEDRgjaVpGlClLCzr2tG0IapkklpDQzSTRQEbTUkhkhLWCEeHR5TJXyX4NioQDKj30fAyRPPVrByytkAMLBYVbdNGIsZYTNWTU9aYlA2U53YsqwxCaWxnmZpVKIhQGBuNZRGKoujSXYyxlNWcEAQbBgRaUVCUJYvFAUcnx9y7eyeSL0BdN7jWM5vN6KPkviS2Sb4csSWHFwiSHq7MTXbzNBqzhhAIgPeCtpG0C63DFiXORSVS0IBJqUVlFWjqNSYEHj0442gx4+bpKbOyQpt71Is5trSctYGDkwW1b2hrw6PLhgA8PItGwZY51swGCo6o8lEfCCZgi0SidqVxZfSMBh8SEfeIz7/+ceaLGc/ffC8nRy8CQlAHoaVuLinLE0obU6na0D/TikcDaCIh1Xq8267g+jh8wOOWDe4rEvVpPDlVUJNqqhNeDNsU6Uiu/jUo432Gxz5WnyZ8OXjaXMV1ipL/MJ34u4G/DXwobfvPgZeATwO/SVX/7pOcdMKECRMmTJgwYcKT4VqFRa5BqqMMHEZUwpYBrHZS+2EgNPYnGe6f9xkes69P42MzbzO+jqHqZL+KZJcZLKRV4fHlMAyrhmkRsmObKapY2UUMRpQ6BAhKu17RNis0lQPNY1bXdVRAqHZlVHNp16OjI8qqpGlq6nrdXXAko4TgWwxKUFg3DbOq5OCwon7YUJYVhbW8/PJLHB4cYAyURYUtK3wqlytGUoWXMqU7GC7Oz7l16zbHx8fxGg1UhY3kRHBURT/OIoJ3LUVVEDTggqFt1smzQ1jXy1gN5+wR4GnbhnUTqKoCEXBeKUpJ3iJRNSFeowIij7tG7w2blCR1Hc1UvcaUlnx3yrLEFgUo2JQyY4hpJ+XMRh8YSASNJ89THxRjYLZYUDdtuiaHLSzGWkjqnixeEB3Mb6S7l9ZaiqKkrht88Mznc7IxsIhw6+atWGbXeVbrBn//YUwVMvE588GTaiQN6DpFk88Nomh6NmJYHbaCfQV8UApraV38PiQlQvCesioJBJomEge53K41htuLihuFcut976OwNhIWyxUSlPlixgOv3Hv4EHNpcK+1HB4bnDO8+cYFL9w+YdUuOVi04Epa7ymNQcRSlRWIIuoxUqY+R5LTplQ1EUFUqVeXlFXBF9/4Gd648ylWK8cbJ5/ifa9+K88/9yqfeePHUf8A70tOT7+ZW7dexRQlIiRyK6bgiIn3JHg/eMYHz20ez44G2/1+GP7sjh0aTQ9fgx2J3CvxuvfnwNNoszS5JoJ5s0EdnYRUUnsjhelpYOJhnipXcR1R8l3An1fVfy9vEJH7wJ8FfhD4LlWt386JJ0yYMGHChAkTJjw+eiIjEQ4MQgbpt7MjMOh22kpzyTvuKw+8CwN5Sg4+d/ZzN+mxy5A1778PW212wo5hX67p9Ub7rl2zunyIdw0hKM4LisE7z/LiDCEkk0ponKdURb1nvV53ZIVznnpdM1/MKUtD8C0XZw8JyZgTKdCgGCsxnYSowhAR6tajtUODR4Bbt29x48YxqoGqmmFsTL3w3mFtKl9KTG1ZLVdUVcXB4SFN2/Lc87e5f+ce2ch0XbegIXpqpDEqijImxGhU+HgfqJtA8GeRcGgazh68xcWDO6AxhUcJINC0Dhc0GXsKmKg8yS6fIfmcWGsoCxvJHVWsLRFVjPFYW2Cspaoq5osZ3oXoF1IYmiYalEqAwlqMNQTvaYxBiaoVW1ZYW1BUM4pqgVcIriUAs/kMTEzvUR+JqYGgaudcmFUVy1UkisoypvS41lEUBXVdU6/WzBZzRCxNEyvHFGUR1SVhQHwMybnBj1jLZr8dpIigKZ0DgdIWOFfjAde2XJwvmR/MyOkvq+UK17YYCRzRcvHaF7nxwssEY/HLC+oHF3iv1FY4W655eH6GncW+vvDSS8xnBc06cHx0wsPXPBbh9q2DmJbkHMGnHicmQzUgJoaKdbPi7t3P8PDskttHL1LYijuPPk+QwMOzR6gzHB1UoCvEeD77uZ/ktTc+SWkDl5eOpn2dD3/jt/PBD33LgDCNFx5CIIjGOWdi6tHQ32VAZ+wdy2EaTJdSM1CXDX1Ihvtklch2KeFt0nh4fC6n3r2P8n4bypSvSHngr288Va7iOqLkZeDvb2zLn/9vE0kyYcKECRMmTJjwlYYCdsszIP4cWhZ2kcPOP9pzNYe4PbD7r+5df+iPyY1NSf7mOfanzvTtDRUjw2Bms53Nc1117nF3B+xSQvANro0Bdd04fCAqAjDUjWdWpfMbid+lvCaXUgOMAaxlNiuxNpIEzXpF0zSE4CM54qOfh4SoLdCgeBcQK/i2RTCxZK733Dw9RQlUsxlITDdxPu4Ty7RGtUFZVVhrca6lSOaoL77wIhePzrr0lOB9Z1QaU14UmxQUlU2mvCGqYep19L1oW8fnPvMZ5qVQ2piGYcQQfEwNalqHaiD4VOWEnK4SVSWIMJuVHCzmXC5XsSSxKF6VoiyT4Wf0CKmKkia00UTXWmZzQ9M0WFOgPiCF6QJ4MUIhhvnikGo2p21bvIuEhvM5JanEiBBEsEVWkGgiGaQLZosi+qGE4FnXNW3bIJK9ZwCNgbtPRJexlqIqaZuYxmON7VIugm6SkzHADkJSk1hUh9/tfsKMNZgQDWhBcW0gqETvktrivU+KHt+pMd5aw6FdcCLg6pr1wzPaJlbIkcWCizcfEACjpDGueP21M5q25uxiRdu2hHmJDwHXeqSMFWxy9pxqIASHNQV1veRnPv73ef3OZ3nXq9/IwcmHCAj23KIh8J5Xvg0j4JpLqqrg4OCUQo9Ynyj379+llAtuP3/Kc7du8bnPfBwfWrwq733vN8d7pKkiThrL4D1oNoFJz3kWeggjxUc/qj0JvEWGpH2UnjDJ30s3g9M+upswzv4kkSiM/RIBlW1/px5XKQDfGUweJU+Xq7iOKCmBi41t+fMbX86JJ0yYMGHChAkTJrwd9KutI88R6Fc3u9/TjnsIiG3ERjf3GQcdeb9BX67dPthDU5DRGaoMgpnRKvDV5YS/rCAkLmATglLXUbGRVQJKFEoU1oAWoM2gModEXw5igNt6z6yMZAXqqesVBB9JDqes1jW2mONUY7neEHDOU2LxxDQSYy1HR0fM54sU8NvURaFpGmZVhWo//oWN6TdN29C2LcYYbt66ydHJESLJQNVILLWqgIlpOsZaiqKgaWsOi1ji2PtIEIUQMN6h4lEtMfNkKmrAhxiglxZms5LgYzWaDGMtRbqF3gXqpqGqKiR6oxIJh1hRyCez2Vwy1gdPgY2BMKTridfvnAMjiI/tCPE6ZrNZWtGPRIq15SAFTLrxIwXV2YNCUYwPMXUI8N7jXODwMPqNiESD0VyyOATl/OyCpnXYVKEnaEg+L2YQdUeSUYmMmGbfnY0gVkeResB7EvllIummHpBRFRjvk9IjkZrZZrQtS+zhrTiXbAFSYnCs3YoLFwhquHXjNl5b6rqhLBbM5itW65az8xU3bxwiFu7evcfLL7/M3JQcHZ+kMsohjrcqqp56fcmbb30esXDj+CZeBQ1KIUfU/h6tX/L8rfdyeVHhmzVoxSsvv5cPvP+D1M2a+/feoq3X/NOf+UGWzT1UDdXsBvPZAaenLzErK0RjBSC8pNLPdu9zG4d2N0MwVpNsHpvusWYyRZO3bNT/SDYp2qGSS42nN5NJFYDGKUKktJ3urTZUGk14WniqXMW1VW/Yf4enOz9hwoQJEyZMmPAVRCYZ+g07CIP8efBHO2xTF7vK7+ZGc5ywS7Gx1YfR9/uPvZ5sGatMNtve9DC52rNlqLLRPjDqVqLjqrR30XjUhRgqgcF7R1VEw9KcjpDL4wIxHYboF3J5eUldFJyeHIM6vHOoKrUL1HVUnojxUYkAnQrBO48pSqyNf4rffu52ZyIakreBb2MJ1mwvqaGvKFJWZfQZcS4qMmYVR8dHrFfruH8ISfhgYqWYJHsoyop1W1O3ntksVzyKpExIY+Oco24h+ExoxXZEBGsKvG8orMWr4r3v7pstYvBYt575rAAV2qbBFLFiDQrWGqoqmrWGoGhwlGURx6xucN4zK+dbqS2ayL6QWA8x0hmyZqPanjiMhIoqGNG06k8kUIxkKhDvPcH7jkhx3qX5AhcXl7hUjUaMAWsHaUyaGKBttUJX2UYTEyebwTTdObJ3ivcxvcoYi3MeDbn0r0nzb/AMGKE0BaU1VIcL6vtvMDs9oJiXnL91j0frFW/6WMXo5skRZxeG+TyVDzIxpWtezVIql1JLgxHL4cEht2+/gHT/y/MtTThRrIHCCu1qxZc++0XsoeNR8zrrR0tELVV5wJv3P8vNF19EjcE1LfNqzssvvRvnG7705qdoH17QtIa2jelmhZ3BQKERSwdventk8jQ/vNcp1Mbvmv6dI/kmRTJZJKmOOqnKVlPDNqRrm46INhLT0+Izu1Eo+pr304R3DE+Nq3gcouQPisj/dvA5a6H+lIhcbnZIVb/1y+3UhAkTJkyYMGHChDH6kpaQ/wYc+nXkffJ2jW6WXeZJ/GKzre0/5rt0go32hp93ERn99v1ERv85jI7pz5d/D2yVCR2cZxeBc11QsrVIbGIVlOWqJiAEtVTVnNavcD6waqMCJIQANhltEpUYGjz4GNC2bcvFcklhoKkdqsmPJAXJwUcVRetTSZ3g8aIsZofYsqQsS27evBnL1oZohhpCoG1rjNm8riitEDHYoujKAavC8ckx9XIJIdA6F9MEihgEhuCRYLDGUNiCdb3G2ljFpygqWueSmiKmfdTqMDYpNIwBsZhCcUkRAzn1JIBGvxLxMZCXEEsIC4KxMahHommr18DlcoU1FmtNSjfJnh+CRl4qxa2CasB7jzFRyVNqVKFIIHqS2DFJsnmvQ0jGoRoJHVsWKNA0NavLC1RMl37UGdRqwPlooFuUNqosvCck9Y8xpvOM2TrxcE6KT/0Ig33zXI3kFBqJgaAGDUrjfJ/Sk8bFSC61HJ/XoigoiwqsoSpu0V6esVovuVsvqQ9mHB3MqOYFdeOAwK3bR1wuV/jWYkUpCsPl5YqyqFjMDljMF7z7Pe+nLCucS6WfMXHgVJlVc44OXuD++Zu0Fw3toubFV1/hc1/4KYrCEJrA5z73z/jA+78V8QUXD+/h5yeUxjCrGsBTNzWz6ianNypmi1NmiwU3br4CxiSbm0g+GWtRPyaXhsRs/GYH8ZreiSPRzsY9idsFTcqd0TNF/o5IKmlfCnj4QsykqxA9eXxKA8rv5ZwVtG2G/ZQwyRbgKXIV1xEln08nOt6x3ezYPmHChAkTJkyYMOEpQoaeG3v+EO+JkJS6kgLszQM2VR5d3LGDINmX/pJXxockyT707fQmo+Og4uq//B93hXZbOr8RRZtoGupah7UF3kdyAxO9IMqioLRCvQo0zmONEpJ4Io+Z945CBFuUBOdY1mucc3gF73NAFYN5n5QBQWP1GiGmfhhrefHFF5nP5inlJESlSNvgXJvKBudKKrn/8RqMCIUtYr/Fc3hwxJvhdZrWRQ+RpGooTIGRIqonktLE2oqmaZnNDbYsaZzDu8DB4Rzf1LjgMSTFhgaapsYHy3JZ47yPJIyJ3ikhBMqyoDBxdd1YGwP6Mqb6SBprVTBqMHZMgHkfyZflcp2IiF4lIjic8xRFwXpdU1azdO44GD4AISpbbCIxeqPQrCTy3dj54FnXKy4vzvGuoZgdxnsZQjeXQ7r/UkXvEx80Ej8CpbXMyrKr4NNNqb3zNqpsZGM+qpI8QTQWMSXEZzX3O4SoeDApOCepHjSSJyEILgTWWlCvWlbVgvr5E1Z1w+qipigNVWW5XLfcu7titih5/bULVD1HRweIKmWh3Dg55SPf/FEODo6iN0hK/fEhEhcurLh8eMYLJ+/mZHYbXMWLr7zCcrWk1occlkJZCrV/SLWoeP7l92NEKMuS2XyBb2sePrjD2aM7vPbGZ3l4fsaqbji5seA97/kgB7MXeOn5VyiLaHqMBFzwYMoRIRyJo75q0a5nXBONIhLNirdNpntBCR3BEdOZkoZmWynHpp4lzZPIVm7c09RKUp9Fn5enyJQkYubtHvvzBE+Vq7iSKFHV9305jU+YMGHChAkTJkx4GtD+X72e0BgeA71pap+SMs7rlx2kyubq+ZUGqgNskzG9Miam/9D1Ifdv6zp1TJLsM3zdd85BU3lnFJgtKloHrlYWiwLnHEagLCB4x8OLmlXtOSnmOOdxraGsCoqiiIatYgmtI/gGHxytD7RtrpYT/TCsiQG9mKQg8IHCGpqm5vkXXuS52zHtJnfROxfTQAYr2UJPYuXUhKw8sUWB9462bYHonbKoDBZwqrSuJhAwGIqiJHiP846qNDR1DeKIghJhsTjirK4JQRMZoTjvqVul9UphBe8CxhiqKnbPp/LIGLCmiKWQ07UXpY0kSlEkJUq8juUqkiIzYsrTel3TOsesKEBIXiDCMB5VVZyLnixWLUVhcN4RvItlkcuK2WJBkQyKk78sItEfBfW4tmV5uWR5edmlnvnguqEOIWCN4dbt27GSDsrZozNcG1OqjLHdfM03RPMd6kjGFNRvPwmj+RlSOocRQKJ5LUIy0O3Lb2vKDcq+LMF7PKBGcOWC2asfYG4Mb/7Mj7C6uMOdhxcYgZPjBW/eeURRGMplSVkWzOYLzh5dUBaWg4MZr7zrBaqq6ok14OzROavlBaYoWMxnzA8O+PBL35qqIMV3wGIxY1be4o23PsfBUcm6XbJc3+X9r3w0GuMKrFcrfvpnfoTl6g1eeO4VTk9mzA8sj84My3XL5z77OT74gTnKK51yKwRPcJ5QbI+eDsZ7WG2mQ4BYRnj7uKH3UffO2Mj4y0RMJDg3vhx86k65caLN/uxKUXzH8fOH8HhbeNpcxeOk3kyYMGHChAkTJkz4msMuYuGa/ZUdenAlG1LG6io6IiZ6IkNGQWtPUlyvItk8ZrytVwCMSZ7QxR1ZhTL+vE2ObJ5zdI15WbhbnDcELEYcVRGQosCjeOdpG4OxAWPA+UDrHca1rFLlmYPDGYSoQFDvIpnQRCUHJNPWtqWqDIUVrI1BmLGW4AONDxzfOODVd78rVrkhkgMhaAzKU5RvUhkSEZPGIxIwWdFiC4v3jsvViqZtaJyjaGoiJxPVI0FDrL6DjSv36qlK6dJZgiregzElF5cr2qalLAuMiealGgIaoDCCNSBFrBJjxBDUoxjqVgnqMTZQai6jKzStj5VsTPS8aNuWpo0qHSSWSTbAetV0ZMXlcslsPgeU4EKeCWCEJpFBaKzu40OLq9e4ekU1m9G6hrIssaZMK+6aFE9xvJxzXF5c4FqHGEM1l+QNklJONN67y8sVy+Uy9sGHbm61bYs1Gks356C6M5LNJWNsH7+KjwTH1iOSFEyiSZ0ikFKj4hSKJFEIIaXcpPkjkYBxIVAaS3awCW3Det2wXLcs5hUXl2vOL2qOj+aYMqaKNLWlbWtObiyYVTNunBzRNmveeO3z3Houqjqcd6xXK158+WV8ejCtMYkHktTvgGD5hR/75Xzhi8/xhdc/jsUyE6jKRPgpzGcLnn/+BT7xyU9y7/6XKAqPczUf/cZv4fDkvawbw8HiaJSqEjQTNjoaq9GTPHh3mIECTshKEjaOH74v0lfJcFc7Hxn678nauDx30nfESk+ZtRwK4IZEs5DfL9oZEz81fJ0TJU8bE1EyYcKECRMmTJjwzCD+CS/Sr1jnPPpdK6m5ROpgK2hAMd2KuuqwgkOv8Ojbodv3iXq6Y//dnih55XVMfjzO+bb3uZo8Uk1Bq8Jy1XB2WbIoPI1TCC6Vhm3xXmIKQWFi8JeaDSHQtC3l2uCamqosCKqslms0GX+GEH01BFK1lHjNAaW0oHiKsuLDH/4wBwcHA6KIRJCQjFPNRqCVgknvCKHFFobWeS6XS0Si74RzAWuEspxF01nncOqpm7i9bhoAFrMZ6gM+kEgVsIWlXq1Q7QPWnKoThzQGfmUZS9aqhph6o5qzR7BkYgMchhBgtb7kcFFF89SgBCKBYgy0jaMwBuc9GmAxK7HW0tQtzgWW6wZFsCnVJyTlQVTTRL8J71u8SCKaAqFxYGI/nGu7GdG0SaVjLFIUnVFvHlvVqOYpqwJb2tiPpo7Kj0wQQkqj6kk8uive9tUZPkeSmZi03Ydo4GrEpqy4NOb5OI0kV6zZq8ngtQCNVYd8ELxrOHvwkDtvvoarLzk9mbNatQSvXK4bbtyYc1k/4tbpTe7fbWmaWDa6rmtWqzKmMxWX3L/7Oqe3X+DBvXMWh3OivVGkYaJfjmM2M6kPkbCZFQd80we/hfe/+0NcLB9wOD/pCQkUIXB0cMy7Xnk/zz/3fj772R9jPjvm6OCU509fYlW7VEHHdSqkrFjZ9+wm/qhT0nX+NMPxTkzFbsVb6MYWzSSVbpCskZjLJFT+ZDBI1+6uthOV1I3BhGcdE1EyYcKECRMmTJjwDGCsvqD3HMnB/5aJ6jAXYGDcOvhDP6+Yxs0DyUX8lkzKXNOzUdD4+ITKpkx9nJqwTZgML3x/QDXc96rsoOxXEFfwLXVdU6+WVJXFGsU5z8HBEUcnBU3rU1lgg3rPahnLADvnop9DJpg0epyoKrOkqljXgcbViDEUAvNZyYsvvcLNW7eiUWq6fg0xLccYg9eASCRacjif4+y4Cg4heNqmAYWitJyfnZNzVaLRJIgolpgSoynKrIoSl9J/LEQfBWMBA+oRawgq+BYwJqYcuVg5xSbDV4jqgVUTcIMxtoXl9MYJ3nvqNipfnA/ce3gRlSl5lV2FsrTUjcMbQzWvOFwskm9HTONZr2tcG0sEF2XZleRdHB4wq2Zo8DRNQy2CFcNsfkhVVmQLFCMGDMm/xGAKixFYLz0X9QVQoCjORR+UEKIXymw24+T4BEW5vDzHGEu9rmldmwgKcKEhmoIO51hWZsU7JlkZkgP6UeisST2SPS0Cro0mspLMWzMJEFxIxAO06qJKyLc8uPM6Z/ffxLs6tp5MfJvGc7FsODyqOL1V8vziBT7ziUeEYBGSYiVAva55+PARLhFmbdvgnXBy812RoOl1FbSuBZFoYmvAGsFITFGZV3Nm1Sud0aoPymr1iLfe+hQPHt3h4dl9XnzxI7znfb+Ue299hqOjV/CupV1dUh4cRbKkS3eR6GEzyHEZER7psZfh58GvIx3KKL1wzzsgnyY9K2Nk55JIkgyPEmHrfTU6slPjPd3cm7ftUTLhsTARJRMmTJgwYcKECc8AttJSUmihg7+WO2+ErCaJB2431snPx/4kA1uMvNNOFUjcNxM3u1Uc4wo827/Hz7p1zG6SZKg8UYYr92NFypDs2RWk9OvEhTUczApm1YL6fEXrWuaLGaVxaPAoUM0qRCyzakbbNjjnKKxhPptTlkUM1JuWumloXcB5R+s8wTtabwirGPzOZ0VcOQesKalm85hC4WJ1leiPkdavQ6BpWhaLGZh0pULn4dC0DcbEEquFLdAyBq7eu26p3fmAoBhrMBrJlsYJPgjBROWH84pSEDCgISocxGBM2QWIrQs0raEokzdHx1kpTdsS1Ma5lhROVVFwcuMYEC4v1zx8dBHviompJgawBmZVGfuiii0Ni3lFNZtxuVqzPF/GqjilxdcrjFp8UsdYWyDA+fk53kV3XcHgFFbrmrKMximSfEqMFIiNRTCMBJaXl1ycPcL7gLVEv5YQ8CGSHrPZDFXl/v171OtoXDufzygKy6yqWK3WNK2nbd0eEk4BT6yaYkFNX312CIGDxYLGeeqmIYTAumlj1SMbDUZDSvNCh0RkILgVZ/ffwDWXzEoItsSHQNNEHxWF5DnScnBwwL17TWcqqmq4OF9ycFRycrukqlrWzTnL15cUpeH2rVusLx+wODxFiopsMKuQPHBKBBvTcky8n/niFPAaiaef+fg/xoc7PDpbc7C4zWx2xFwMtz5wk3a1xMxKnnvxRZarBg0x7UrTQIkYsrZk1xjnV8a2masmsndbmbZJmOT3jAzfd9K/X3RwTfmVM9SJaC9c6SrdbKXyfCVIjK8RokRE/k/Afwj8hKp+28Z3vx74j4FvBc6B7wF+j6o+/Mr28skxESUTJkyYMGHChAnPAEYqEWDnX8ma9huUrRx9nQOERCz0gUVgGAT0cnRN/hi7oXnV/G1dz2Zb29ezWca43yeTIX31nL4f29ecA87uWIFZZZjPBGMKjC0pKpjNCsL6YUxHiSVHsIXh9PSEerUClFlVUhQzqlkZ/UxcS9s0PDq74I27D/FeCQFsUSAmgI9ERlVZHl7UOFfzShR+4H0MkmOZ3DjeTV3HwH3gERPL9kYPk1guN3mWQAz4k7pBRKKnBsp8PuvGwAYPBFqvNF6oIPlyRF8VlejVEY1Uox+JWPAtlFVBVZhuZLOPh8i4clHcHsetKksOjaUNDmsMVRVTb0Sj34d3LXXd4r1yenJE0MDlas16taaum2RyamKKjSq+qWnKirJQlsFTWst8MccWgveB9bqhdY7Ly0uqquiIJe8cbZvHxuDamlidRKiqkqosca4F7cvv2qLk+OiQ1brm0cNHrFbrjiSqVzWIUthhCNXPK9GU9SMKGksKA9FLYzS9c6lfi8iMdd2ANl1ULmgkN9LczeqSQmq0fcjJoSEsjmidZ71aI0HwvkAJaFCsjWlHdeM5u7+KxJ1TDg8W3LhRcnzLEGi5d39JZQ94cG/JCy/cxge4vDhDFQ5vPN97FoUQtTJNgy8sNhTkCi+FiWWmhUjQOBc4PLzFF998E6+G2zdvY3MVI2M5uXmToB4Rw3xW0rZNvM5UjjgEB+bJQlTVXPOmrxC0SYwM3yH5v5zOFd8PAhqQoIjklLNMpox9m/q7GB/QjpTWwdtHzJXvzncCXwuKEhH5ZuD3AG/u+O7XAH8N+F7g9wKvAP8X4FtE5J/ToQnM1yAmomTChAkTJkyYMOGZQlrnTJL+UWpKJlN2rcTKdt5+VoTE/wIidrTvPr+SK3s3UKDs23dbNfKkf/Hr6OdYCbN7JXqjk1iJEn/v25hGoBCcB4XGBerWMdMLzMEhrm0wJgbvde2omxgQFoVBxGKKgqoUnj89AKBxnqq0LA4WrFcN67ph1YS44qxQFAWxfKhPaRMe1agK8ck7I6fliJiRWiSSCIlIMIIUwsXFRUeQqUIQupK30XhVWCyUwsGq9jQhpRxpX8nFpOBf8vQKsDg8YD6vEO8RUeqmJUgRUzhCgOBjlZlULjconJ1d8Nzzt6kqw42T46jeSNdrSKSPtRhrEExUx9SO4DxiBOciEVIWFlMpTdMQnKK+pTyYUZUlpS24cXzIfF7Rto7X37xL3TrqpqZtGoy1FEUmn2IAr+owGMqqxDUNqg7vmqRMAWsty+WS1774BQg+qlJshZh4LwpraNo2zoMU+HeSg6z6GE3LNDfJ3hXj+Xe5XGKMxZYFhweLOHYXK5rWUdc1VVFF8il5olirFNLQqqMsKhrnYjqUNYlkiHOiMMLhvIBSOLvfUFrD+7/pA9y9d8EXvvgGh8fHMW2pdRwdHvDgfoOxBudazs/OCWGBMcL88ISiPIA8DzWamTofCOriBFElmJgKZkRSSWrlXa9+My+89AGMeCpbUZhYhSg/82VRAJGosNZQp7QmIJUJ3v0AX1dpS9INCRskyfD3ncoSScxlx3cM1Gnd7rr1XpFO+dOTxn2K3D5V288fSGSC/jTwp4CPAacbu/ynwE8DvyWTIiLyOvD9wG8G/uJXrLNvA49NlIjIdwAfV9U7e75/Dvioqv69d6pzEyZMmDBhwoQJEyK2fTySrmKwPVplXr+KGf+GH6bdjAmXkS1AUgF0cvQ9qTgbZ+C6tJ10FVxHkmyqSnZ917ezz8RxiOS7EBznFzVOA8YUBN+iySyzaZXzled8dclzxJX/oihwbUvdOGYHh/jgkOBZrtY452mdI6hSlRVlAa0L1A8vCAEKa/HBs1jM0VAyn89ixRiNChGX0m7ExNQDEe0C4KCagsxU+SQZgBqJlVtUlTqV9FVIZXwNbRuDaDSqWwobU2hmc1itllCW+BC9TtQ5go+BaqyGA4vFAe9673tj+d7zh7TNBY1XNFisLfChjmSNCIW1iIEQYLlccXZ2xunpaUwv8j6qaySW81UfKIuSorRdGdyyLHA+sFyuCB6wAsZgsWk/pamX3Dg57rw91vUal9KZZvMZddvGey8FbesGRKIBfJe6JKQxTFVj4vh63NqzXq9ZXT5EEGxZUS1KhKhaaZomEkrp/kTf2j4YzuKqSIxI92zmYHtstyxksYH3Ad+umM8rzi7WNG1L6zyi0VzYuRYfPEdzQ8saawtUIsE0m80orWW9XvVmqImVaX2gXjmMWN73nvfxi37hC/zoj/8kP/1PP075EBYzy3s//Cq/+Fvfxw//0A+zXC1Zr5eothwdLKhXlxg77xieTD5EDki7a/CpulJUAGWSAapixuFijhVD61s0RDNd5x3WlnEUBGaziqZuonGwMUnZ0z3he5/i6D3Tmx2P1Wb9e2CTGMk/h2Ru9G4a3DPJv6f3RbrNI64r/dtX1Mk7ZKbxan+UdwRffUXJ7wZeBf554PuGX4jIu4BfAvx7Q+WIqv5NEfkS8K/yDhIlT4OreBJFyd8Bfjvw5/d8/53pu6dcB2nChAkTJkyYMOHrD9u+HT3JkKXnQlQVyOCY3SV5e0IlBgomqh0YK6F7kmIfQbHVSyCXEs4By75ryPv23+9WvewjZaRrv08l2h859IFq/Llet5wvoa4bVKNJ6coKh5XQBpIkH5qm5d7deyk1JZYoPj+/iCauIjgXUnndGPC3raaSwDYZZQbqVvFeKa2ymC+Yzw+ihwWxoohLjqiLxQwRqKoSMIl8CGgsXBxTHcoSBbyCTUqG5WWN9x4QWherkjTAoiyi54XGfj93+yaHhwfceetN2rrGKyxXNY6Y1mNM7PftW89x+/ZtDo8O4vWtCuplYFU7QGmdx6eyuUED5WzOYj6nbR0heJYXa46OHIv5PBJFRZlIkBbvAq7wGBFWqxWzWUVV2FTFx7Gua5SkUiCmwsznscrQ6uIhfnGMLUuKRKYYEY6ODiEEzs8eEmzA2hIXfOIMoiJEVWl9i5GoaKiqKs29mNaECs1qiagihqj2MIbOe4JokivxkA3iYzD7B2qSJPzqUpZGs1clEkJE9U8hgpUoRxCg9Q7XxipFISiow7k2+s4Yg7UzjLF4GtRfUpQFxhhEHOqjp4hXUFE+9alPcvP0Jr/k238h73n1XXzin/0crl7xnlffz/GNG533i3MuGt6ua8SeMZsdY2YVBumUJanzSZElqPhIbhA61YyV0CmOTAH40Pn+eAehsB1BYY1N/d5UoV1NgOZ7CuN3W38P9iOSzLHMcUcWSy8JUvzgc0Al+tzkduP71gAGSY4qm6mBj6O++7LxVSRKROQDwH8E/DZVPdtxrd+Sfv70jsN/avD9O4V3nKt4EqLkujsd3/YTJkyYMGHChAkTnjo2A7VOo7GZh8KOVJe88i0bgd0WMhmhG03uUniMcw+2u7Grgs5YUTLs4y7SZKwg6a9rvN+uFeQwbAQF6sbRNpq8OiR5hkDjDM6FFFBbDuZzZgdH0c/Au6iScC0Xlw2rpsXagoPDkvlsllJi4mlCUEIdYgWZpPYoi4J3vetdLBaL5I9g47kNBB+iMqVxzBbl4N5ko9fkoWENzkVCQkMc5/v376fUBUFDoHGB0sYA1KYUlOeee4HjowOca2JJXhEO51VS0JgYEnrlxRdf4PatE6w1hLZBxHB8csz5+RlVFSvzOB9y1VoODw84vXFCUZR0K+l4vPP4pmV5ccHBYh7TNIJii5gW45yjbZW6XlIWloCnKCwHh3MKMTGwFmIwG2KahnMO07aIMbSujduCw7Y1RmIq1HJ5iS1KimqGiMWroj7g2mYUzLg2kj4+RAJKjGCsjWoHE1ORMskRNHRpHfl50ZRykUUEO01bt2bkaDKPfw42R/4mqomio4pnMa9wtSUEjdflc+8En9ooyoIqQFsFZG2i34aBL37pDeCH+IW/6Nu5dfuUX/krvh3fxtSdRw8vOD+/BFXatmVWFVxeXoDAwdEFi+oUct2XdH1dFRgJ5LQjUU2+PgG8wyiod2AFHzwhVYNClbaJ8zKnlxWFoWk2zaF3v5O2FCJCV/J7SHVsvtc6tY0O3339u0NUuzZEJZYCZnDRWTnUvaPS+yezYTtu79MWlHyZHiU3ROThVTuo6unO88aX8P8D+Buq+r17Dr+dft7f8d194Bc9Vi8fH+84V/GkHiVX3Y5fCdx9wvbeNn6+uutOmDBhwoQJEyZchywP39o+kH1vVowZY0xwjAKGK1dB+3ay0eMuhcv2eaXr7rAvm1Vv9pX03K1guUpBMiRsBuFTjmw1lv/1wSZZvXaBTe2ip8ZiMWdeBMoCymoWDVY1KgrKsuTGjYITjWxBTj+JviPRHLKwQlEUeHWUBI7mB7z44ovY5HcRguKdj+arRtDgqWvFec+BiavV3XVoT1jl68gr1mdnZ6zWK4wYDhYVi/ksGXoavI/9uXX7NkVhuXPnLV54/jbP3b6FS6awZXnOwwePKKqSo6MDnn/uFGtgXddcLhvquqWczbHljMIrZRUVGq0LtG3g8Ogolho2MeCN/bY8fPAQfGB2sEAkpq+UZUFTt9HPIgRmKQVpVlU411IUJVXVxBweDbHSUNviRCmtRZAuFcUwpyosvm1QE30pFvNFUgE1tOtLQghYY2jqFudqZotDqsUBRVGARkPaohDa1jGfzTk+POT80UNW6xVqCjSA2Oi/0T9v2huAMgy0M1GiXarGphJrPEMVK4ILIWoSkoLJSEoO656XwKyQuC8SjWQ1KyqioW9ZzajXa4yJpaJNY5KPSohpRAbu33vA3/mBH+AbvuEbef/73ke1WHB+fsGP/thPRvLM9oqRtm1o6pqQFC2ZFAiJMM0UgpHoS2M0KnAieefJA+CCo9DokRP3NxiB1rXx+gsbfVWKqIbxiUzJ5ZT7eb5j/HSsEctESP+Mp46T75WkvbT/rP27L15XJD06y5L0Tth686RUnf40ffpN/57b9d59h/HVU5T8T4BvBz76GPte95J+J/GOchVXEiUi8u8A/85g03eLyO/fsetN4AT4L5/k5G8XP5/ddSdMmDBhwoQJEx4L+yII6f7ZT3rsOXbbCySvzEoXGGZFx3a+/1V/D49XY2FTocLo+7cvWe//zNsOUsYEjGs9dV2TS9vmNA3nAvNZQVkYjFGcbylcE68jhO6KCIpzNSJxdTxgukBNleg3kva7cXzE6dEh1I/wjaW5PMDOFjT1OlaxUSEET+vWWGupZiUimk4XPTE0eYhEr41ACGCs8OjRo0jcHB5ycFBRFhbvPes6VtQBePjgAZdnDzg5OaaazaCKSgCvwhHCweEBs6qimpUUBlaXl9x/dMlq7WKKTN3QeNeZtrbO0baBqqyoSoslmogWxmCMZd04RITTW6ec3rwJ1tLWLVVlWdkVjfcUUoA6ZkXFwWKB9zO8KkWx5uLiEu9cmo++m3PGmlQhyLBcLWnbmvlsRpW8ZYqy4PbiNqv1mocP7oJ3uNajzmNRrInlicmpPdZEfxWxVGVU8Zyc3uQonPDg0QXBxyDbGKEsK7x3hNCSqIzBzIIgA0XCaNYxKuHdUYeSK64EgldWy3WqdpQVUDlSD5RFb7IciShJZJ9jvbygqkpqE8vshsQLxoo+gaZtKG30erlz7wHLn/hxXn3XKxgb1Snf+A3v597dA15//fW+Xz6VQCYqLXKqXq+W8lgbSx/jPaYo4/OjvntGICBaoKpUZUHwqcJSYh+cS/MpkTBlWaJE8nBohJrJ1Gye2ynNpL8HI/KVlCooMZUwPo+Z1OhTedCxl5P0CYuDNgNgY5oUdBKOnnwdEpn5u/h90DAylf0axKN9ipGrkLw+/lPgDwCXIpLbKACbPq+Be2n77c02gFvsVpo8aV+eKldxnaLkIfC59Pv7iBe8SU4oMffoHwHf/SQnfzv4+e6uO2HChAkTJkyYsAu701b678Z5+kmyPyA9NhUmsrnimaTqu3QqWaY+NpPdbZjYHzNuKa/a9mk8u8mQzXPswibPs4vg2Tx33K/fZkwifBLBsZjPqesGF3xKZcjkDrTrC0xSNAAEFUJQmpSaUlGloKi30o2+EspsPuPwYMHhrKQ4LPHNmss7XyC4QOM8AUMwBcXhMUHBioUQEFtgkkeJmJjqgcZVax/jaZq2wTnHyfEJZVlgk8cIRBLAe4cGwYWatvaoj5VODg+PMMlH5fDwgOXlJd47DCXrdc3D85qH5ytcGzg8nGPKggLFhzAav6oqUwqFJGKoz4E4WMw5ODokqKJtQ1lZvHeIRO8REaGoCqpyRlUWOKv4uonlYsXSupBMYqPxqqnmGKLyRgyIWIIaWqcUBRSFJWooPIfHRywWc87Pz1ldnrFerZIHSx8ci8RjorLHsa4Va0zsnzEcHsxZLWtAOTw84OjoBNc2rNdLDg4X47ZIAXrWQnQClEEwPZ6R8fkUQ6s+ltX1SVEymOO5hcLE9BVN1Xicg6IsMcFFU2EpEApa5zq1VDShjaTDbFZhjOFgPuejH/kGinKWSKDACy88x62bp1xcXLBaLmPZ67YhaMC5JpZ0xkJaa47VltKTI+niQ4tm/xYD+OwVEgguUFaW2ayK/jMhXpwGjxcDBQOPEtORMppTYYYqDaEnR3awUpspeN1zn/9Nz+iIyMqqkpRB06fsbKrS+pYQidV5dpwr86mRtPp5qSh5FbhBJEr+wI7vHxBFCn8sff4WYhw+xMeAf/AO9OUhT5GruJIoUdU/A/wZABH5DPC/UdXvu+qYrwB+N18j7roTJkyYMGHChAlfafQVbnrsSlXplSW69Qf10OcjByRdvsAVSo/rtm2m3+w3fd2vHtllQDskQuLPsVniOJDZ7td2H5SiMDivGKsURcllXSMYxERPjKCKT6SOcw2Wklg+OeCc4nw0aFUCaAsmropjTFdit6oqjm6csnpwBzl6CdEQCRcRvLZwscIsjjl9+RVmi6NkhhrTb5xbUhSRKICobGmbBkwRyRMRzs/OUY2lbV0I+CCY5G1RWIsWsQKMT311ruZzn3uNF5+/SbVY0DrPyckx80VFaS2XF0sulivOL2uWyzUHR4fRqyP9WS0SPVAMYEpLUZaxso5IH74GheCxJvqQNM7F2Llt+7SHoCn1wiAmVk3J6hcfoleGAq0PlLbCmkj+hHS8qHTkjLGWVV0zr0rK0qJtQ2ELbpyecHC4YLk84vzRIx49eBDvDxpNUY0hBE/TtAQN+Nol8iOa4YoYTo4XiRxSzs4fod5TVQU2pb90cXofYfcpM/QBuoyf1m5/ESiMpQ6uV251czb/VMrSIDisKVAB5x1FUSJiMBJL+0Zxh6csbEzl0kAgYK0wnxfU65ZX3/USH/jgN+GD8vF/+glWqzO+8Ru/geCVy/NzirKIyg7v0nMVTVhzKWoCGAlJlROvUE1+x8T/JI1BfuK8d4Qmqo9ihZs2lTyO5rFKIrBEmFUzZrND7p81/VgRaaVOwzF473RkydYDv719l5fRdnrikCDJaYBsbIP8npF8nUaQ0Ctd+vaeLr5Mj5K3i08Cv3bH9u8GjoB/A/i8qn5RRP4J8NtE5LsHAobvBN4F/DdfbkeeNlfx2B4lqvr+d+qkbxdfg+66EyZMmDBhwoQJXxFsEQhDVUYmO0yvHpE+0hr8mZ92T8qRXNhB0n5Xwwxa6HpFT05EiftuBUpKWUnf5xhiy2R2z/VubutLFg+rZez3M+iPT71RjRVcxDKbxeCZEE07EaFto/8GRVw1DwK+cYjEahjORUl+SAF/sAbDYMxNXHG2hWVxcMT5ndep12uCUcrCUJQVtigiyXF4i4PjU0Ci0D+lejjfpGo4LpIvItRNTVlFsgJRzs/PCMFT1y1FYWmSb0xcoY9pMBra6IWi8a6fL9c0b9zh+dunLBYHXFycs5iVNMC9+xc03rNar7FlSWkLlICGgEupP/mut3VDVbV4X2HLEivE1BEUF1qccyyXFxwcLtL9AZBE3HjKdP0aolJFNdC0dSKfIr0QABVDMMRrJqaGGI0lfgtbxBQH72nqOBOL0qLqCSF6sBTWcnJyzNHhgrKcEVDOHp3hXBu9OJqWXBnHiBB88gxRR1UWzOczzs4uWa3XCLBcCZfLFYvD443nIKlBtHMKiqqRkB+wsbpERGLp3BBNZTPDIiLRy8MIXgyinsKCek9RFoRgEEnXJ/E+hyjTiCopjWSV9x40cLCIJYRrWj74gQ+xWBzxqU99hh/58Z9gsSj5whdf492vvhgrHgmxtLRInM9E5ZCIUhjBFjFdKJedDiFgJXulaErNyqqr0D1roW2JqVEl88UM3/rokWNzShHMqgIRS9M2Mf2mLIaajr3E8L73RO9Dst/LaEi+ErKCBYbvuWzaOyJhE0kbVXsDGmWkssvvu6eIrwJRoqoXwH+7uT0bw6rq8LvfQ1ST/AUR+S/oLTH+MfCX3uF+veNcxZOauX7V8LTcda9z+yVKiyZMmDBhwoQJE74GoF11ky31xA4xyGZVmnGOfpbHb6y0ag4g8q6ZcAkDGXyuSjM6G9kAcWfPu5Sb/d/nPm/7n+xDICcr5MCoJ0uG45OD0OEJYxBYJC+RxcGMy2UNxmKtEDSm2GhQkOhvYXJAm5bMBZOTLRKNFO9LVqQ45xEjtB7W6zXV4QKRaFppbcn84Ii2XSIhoCapA3xLUChMSdBITtSrFWCiT0brsNayWp3TtC3eOdq25ujoKI5dWub2rY8lYn0gaCwnDDG4bZY1RXHOydGCwhpc3eB9DL6XlyuWqyWzxVFUU3hJc24wdD6SUs45Hp1dcDCvOJhXyaTV0bYtrfM0rcdjsCmAN0Zo6ujr0jYtJzeOKUobKZHg8a1LCgYIMdEmBt8DHrAqTFSGiOBDUj54T0BwzlGWBRoCq8tLrLU0dY2izGczXBvNTdGANZJKQxOVEMakZyKlmCTD3fW6pnWRlMgUSAhhlIaUJiAq0diUrZnH4JN0P5xz+KTeiCohTV4gkSwpi5jyYq0lhFRG1xgE8M5TlgXVbEbraryrI7niI3EUgmdRlVEV47JaxxPwvPHm6+BbCmZcnF9w/96Mw8UszvPCdEodDdql2Jj0/FgbSbugkTAJPsRqN4CS/HNSmpixccxMSMbC2iRCynTqnY5SEst6vaJe19HmRGeD53q/QmOzOla8n5K8SoZ3Iu0bazt3d6Z7/0mvKhmfszd77bxjpH/WER3VUpE8F37+KkoeG6r6AyLyG4HfB/x/iUVWvhf4D1TVX3Xs1wL2EiVJvhKAb1LVVkQ+/Rjtqap+8B3r3Rhfq+66E55R/Mn/6jd81c79u3773/iqnXvCVwb/8l/+21+1c3/vv/ade7/7t7/nC1/Bnozxn/8r7/6qnXvChJ8XkPHPoez8StPW5J2AJCIjN5EC6i4oGAYUSN/2sLmBgmS88tqrSvIZdvXpOuJj3zfXpfBsepPEazJ9oJS61dkIpMCotAVCTF2JppmGdeMi2WAKjEZjSxGDBqUsknIln0skBrX03iA5kA6qeCKpwWzOg/tnzK2hPFygqizPH6EYqmrG8u7rzG+9kBQuM5qmIZDUE8YwXyw4e/gwpgEFT1mUXF5cxJQV7+Poa1RmiDWExtE0TQpOFa8hGWlK5Hk8nJ3XfPG1u7i2xXuXiBIhoBhbACESERIDczExKA4KbTKZDUGxRmhaj5WGqrRxjqXV+aIoCWrxzgFCKZoCfdPdEA0h9c/jnO/UJNE6RshmqpWNpWdFHcEp2IIQwHlPkdUsbcB7F1Oejo6wNlYCKqywXDU453GuBfUp1ScgYhPJFUlIzWlLKOv1EluUlIWh9r6bZ9mQdJOojOqsgcorzxXV0W55rqrGikdWDI4+9Wc+n6X7YahsVI0URQUSvXGsFYL3gKEoC9p2BRqorGXdRgVQVVpOjg8py4K2WeNd4Cd+9Md54Utf4P7d1zmYW0QCs6KkKgpm8zkaPLPZnKZuEGOYz6JJroh06V65THNiGpPaI15fVC5FsoREpMU0oKS4CYbWt0lJEtU76mM6muLwziXvoB0hW8fvjr/bVJf0o5zeU6MmtN+mjN4bOfVrOwWH0XYR05PJwzdWNyWUbCL79k2pnz2o6q/Zs/2vA3/9nT7fV4KruEpR8jnGs+Tz7Jy1Tx9P0133OrffpDiZVCUTJkyYMGHChK8qVAOIYWQAwP6UlVElCCOj74b7DhUlmhZIlXGaj2SGhWHosTsQ2DpucJ6rSZIUIG3kz+RUkrFHySBgRQa7bwZNQ5PFnikRYorBYl6CeqzJ5FEMlo01EBQjhqAxePcKVqMyIoRYeNWHEINbm86dbo2q4n1gXdeE4Di5cYO3Li54+OiMsrCEEAmUe2/e5fj0lKquaS7Omd1+iZUxGKCczTCF7cLQcjbj8mKJdz6lgKxjCdeULqQh4AP4VUu9rKNCIt3ToIJPKhcAQqBuAvceRAWGMdKphQyxwguSiaZIRnRzJMRgPXiH9QViAl6EdesxNhIfjYupOjENJqAIRpQQBFMUOBeiN0fdoMGjGmi90rYhqnFCDDaNKSKfJ0JhwUqBSAysbWFZtx7n023XgDFlTOFpWi4vl8znM+bzCh+iIqCuVxiTgn5SZZg2JHLIEHwkK4KG7rwuaFJk9PNHkRjgKzG1ZjjvNhjGrLLqCcn4pRFDiHQY2U+kNCXOxvOX1oIqhYnntdbig6LqqaqStl5RFmDE4oqC+axkNrNcXEZlyfHhYTRm9QHnYmqMC44H9+9h8MznBc55ZvMKa2F2cIBooKpKBGUxs5RlJMyMJLPelFqTyzsH77sLzAobIyapcVKp7CRlEhFMYbA2lQtOBFxOu/I+PkvGCNQu39TusRY0ZsdsPf9j9Ck3QxIrMHzPDRUl+WYZMRtt7Cage5VKGpMgaUYIhAbfPML7NW5tCatq6/h3FF/fEoCnzlXsJUo2WaF9LNFXCF9L7roTJkyYMGHChAlfBWSyYkwkDKFd4DWodgNkZcleyUZG0MTDjL1DRqQL0htWbpAX+/wCcju7qub05rTjFdqc+5/9TraudbQtp9yM1487hclwZTkRMfOZpTCKD1lcY1APiOnVITFaTsdk1QY4Hz0YorVB9B3xPoAJMaAjEgWXq5p79x7y3HPP8+D+Qy6bFcd1TVUaFDg6OeLi3n3mR0dUVcnq3hscvPxuHjx8QHOv5ubNm8wPD1mtVlxeXLKuW6wxXFxcsFyuaVufVvnTFYa4qt96nyrLxOAvK1w0DFJLMJjCYopopBkVIz5WV3EOKWd0LIRqKkccg3gjgkdxbRsDYxECQghQ1w4fPN776KWRDEXFxDHygagkCAPiQQPrxuGCiwFtSuEwJqABVAxek5GoNRRFgaqAGjQ4WpQCoaQPZJ1zOF+wXC4JPhJgwbf4NhMP0d+k80dpYj/Kgu75ct4j1mCtcHR4SFUVnYqnsIPystsChO6LXYoHEaVNZXDVB5bLS8Ra1EQFzHJZowKzymKCYosCQ1TAgEVDibAEAkU54+TGCXVlWS5XiCrHRwvmiwrnPPW6BlFms4JCoKxKROLcdVYRU3ByfMisOsAaODg45HJ2zmxWEIgms9n4NoSAhkwm9eSnMQZrzCgdKT4rfXaFIaZwlbbEGBtfRxIVSM75+KhZIR4iHa/Zv1s6bdxeVUm/fagc0a33XnwbRgIPjfM2q4m22+3VKZ2ixg8Ud+kV4UPNxb3PsL58mNKVBPu0FSVfx0TJV4KreFY8Sr5m3HUnTJgwYcKECRO+KlAie9CZlw7TTQZy9S5/foicV79BXAxa6Ne6r/7jfvNv85FiY993G9v2+pDkoEalu6ruCnYGHVlNsh2Mjvs8luB3K8pJNWCMoKEv52my98KgBGhsw/QpLIkoERWcC+kOOGxhyWkZIQRef/1NrC2pZnMoC1oVjAsY8azPLxEN1OfnrG3B/GbFiS24ffs5Li7OY0UWLmlahw+BtmkpD2bcuXuXs7MlilCVRVSM+Jhy4dto3EpQxATUp3KlyXg282zZc8GnwBQioaLEwLUMqUyr8yklRAheyWkHGjIJkMxeFZo64Fz0xQTFeYcpyo7g61f1Yye8Kus6Vj6pW0cIPlb58ZG4siam26gqzoGx8ViRmNoRkkpGhFSuuUVD9PRQVUQD5axgvWqxJga5MdCO5EgkhgKtD1iV5PngYtlgFeoWbh3Nk8oicHR8TGEL6tUFxm7P0cHkuhLZKyOEeHxVFCDgXUtZzaisYeVayspSliVlOcO1a3xoUYXF0TGzWRlJrpCIMOcpTM3R8QEnJ8f4EKjrmqIQ2iYSO6U1IBYjhzTOsVzWWOCFF57DsaAoAodHJwiWpj6jsEXyR8nElUlzq08tMcYmoiwkBVZIxFpWmER6I5dTDqoUpvf2ETEYmzxAEpnSq8EGJEgmYWQ8wrtLlqeEoIGCZET2DhRoSvS+saka1W5vkf5dFYZkUCC+C4LiVuecv/V6LIFNfGbsU2Yyvn4Se746eCaIkq9Vd90JEyZMmDBhwoSvJGJKDDCkOHLpGgDNOSQxhOv4gJRSs2tldZi3n4mUzfScTVPYPUu0O4/feR1DxctwXxn/1MHHTcm9JLfZftU3i0V2BDtqNj4HSL4dpqvUodFfIQXzxsrAtyAeFkJMtwmd2iVedFDFKZTk8rVxBR0M5xcX/NwnP8liPueVd72MBsfFo/u45TmrZY2xNhIzVlk9OoM7dyiqEgXapuFiuaRto3/HYrHg3v0HPHxwRkj3zXlHWUaD2CBCm0u7onG1PF2yMSZWNSkss1mBQTpz0Dxe0Vcl4FqfqpsUiVDQmPUV0lp8pxRQIoeSUlVM0StWTPTPiMMdCZR83ySpdFrvurQfNCuOAiFVrUFz/xI5k1I2ol9GSi1yTdQGFDOaJilgxFBVFbODOdZA00QSpSqEsrDUTfRMsYVF2hZ8nANelUINTau0Pt5vEM7Oo5pnWYd4zyTw7ncfjedUx1UOSMstRJmEJuLKGIP3ymI+wxhD4xyEwGIxYyEzvA8UJpIR84Mj1pfxns9nC2Ynp2hQlstzMEI1W3BweMx8dggCTVMjEhAD63WNTc9UUVa4tknEhaFtV5SzA5QZBwcziqLixmnF8tJgky+KDw5BUtpSHCckvV80PQ+a55ym+wNWonJEQ+/v0rbtQF0Wx8oakxRJqVJOIuy6MUM6nxQN0edmqGrrEKJddT56H/GRVUeSfJsQ7ar0jPfTRKoZRsS0BhDL0eEJ9+++gYYGaFicHOLXDW3TAkpYr/bMgwnPAq4kSkTkSesQq6r+S19Gf75sPOvuuhMmTJgwYcKECfsgmBFPEQUYg5VtSYE9wshU8sq1x0RYDOKJXnCRyIhRCzLmSoZqd9lOqRli92rtYPtAWdIlDl27bJoDrqvPMTjbYL+4oh1CVoD0q9jW9GVPNX2H+s4nIZ/W5GAsxAo86mNVIgWqWUkRSpq6YbVes5gvODicczEr0YtDysZjy4rq4DARL4bGB1YXy6iiaCPpMV/MOD456nwhfMjXQOoXeJ9JnzyOZivrQAQKE/01IjdgKKQnqwyCxRAcONdSFonoSJU9ct2kblV9WPlFo+JEc1lYH1ATMEURvTgUbCpzrCHQ+khqaCCVso3Neeej+WtS7Jg8DSSSKaqRrBKBpolqFIInOIexBmts8uVIZZOtUBSWxcEcdS2r1SWqAWtiepVJ6obWh6hgMYa69niFwhjeun9B6zxVZXnr7hkiSlXYUbnk0VR8DBWBqie4NioocjvGYhJRF+VNsYKOYNFkqlvNFpj0SDRNjWroSuyqQDU7RI3EtCdjEbFYazg6nI2e17KY432b7tUBRiwiSrNa0bBO5Egg+Jp6tUpqpEwMZjVRTD8z/ZMaU280eeGk59B7170uOu8XQKQgkpOa2lA8ijUlao8HArVcJjqW6SYoojp6N+X3Rqw+PqBYtlJyhjdB+vek9jIV7ciu/N+4LHp+b7h6zesPz4heOgLFCQfPfQOhXuHqNfV6xVLPr50LbxsDfvxtHfvzAE+bq7hOUfIbd52A/f+X9RUd9q+0u+6ECRMmTJgwYcJXCz350Ksq4s8s5dfuL7GR6CTtpGnjlpnrzj/f0p97+Rwy8A8ZpMeM0nm6FeYn+3NwFMTo4NzDBVzG6Trbpq5DOf247S3fgXTAMIgKweNCoLDRewNIwXh/zSEEQipFnH0fc/vWRr+TozLQBqjbmH4SvI9moBooxDKbz6mqGbeeexG9/QJN43A+0LZtUnDEErVFGSiLIio+xBBVFjHFZT6bYwuLd75XA+lAmSN9CLmZRuVCYGGF2axEtfeUKAsDYnDeEVVJBlFNfiSmuweamIuYeuPxXR7E0OI3/hvNOT3G2q4fxpjY75T6IskwNmSlio++FjGA1649DRpFQWLSmIOYWMI5RfCpDwHn43matmFVrwGlKkuqWiIRgqF1nmA9gtC6FCen1KTWQ0j9dQqrpkUQrI/zLBJjqTzwdRzkHogIy4uH1J3iYPOZ2Wy4V6nIYFMeIUHyEAya6B8KIT/niRTY2Dl/7Hyi4wD3+2ge5mE/ZKT4Gs+1/pthgl9Ow4kKonyPlSBxP2ss88WCuZ3nt1w3s/L5xWYCcJsQ6Sfh7rdat6+CqiD0++XUoI1BZHgvxmmDGisoiUCaG0ELpDzGVicc3zDcfPltTI4nwNd6eeCvAJ4qV3ElUaI61imm6jNvAd+lqj/wJCeaMGHChAkTJkyY8Pax6UmyWZlBNpQV+7Bp9Cpp8XfUno733UrbGXwerujuO891/UgbUpA/bHibARkdE7LkYPtv4zGpMpbV62DfEGI/CmM5ujnHGMNq3SZFR0orkHSNmlNxEuEUFCQqORRYt4HgwXnFeaV1bfQACYGjwwWz+aw7VgxUlaFUZVYVXWzqXUgpE0ltkMqtZo+GqiywNhIOwyuiC0AlEVu97wOAsZJIEIsPUUXhFYILeK9EiijZASfTSjaINEWjaEnjdY9LSsd/IhkRqKMIhdbFVAuTDDlDaAkuEESwllSBJlXHyUFsyEqeNE+MUBYFVWVxznX9hViC2JpYTceIJmVN8pJJaVI1juANpGN8AN9E9UvQeP/ESDKbzXMplq/NiKSSYovoPJHFNPtD8j0QKMsZp7efp40Osl0b1z69o2megngZPC+S3wJDEpU+LUYyUdLLJ/o3wQbZQLyPOtyo4313+Qxtk6WxStLyssZ7pbCGg6PjWJUpzSNQQoiEVDkrMcEMvIfG7ztNkpSeExnOwb5s+UBvQqZEujbyZYj2PwftZSIvfs4G2dvna12Lc9nwNpnaWhuNi100J36q+DonSp42V/GkHiVf57djwoQJEyZMmDDhq4WU2qGA7FaX7DM8Hf/sMQpnNvL5Y+C7KTnfIGw0B00p/SevPJNW6XVbCbIXw0ArxXIyDAJ3XcKIZ9kui7wbuaqKpmBXKYqC1rW0TlnMDIeLAmuE87Mar6mizcDHIPok9NV/0KiucJS0zqEaKAw8d2MBIqzWLac3TmKaR/Cp0sqA4EpeCaoB5xuyaicaynqyLwcCxhYcHhzg2rMuZUGMoUvL0hQYCn1aQWK6jIlRc/ABUwiLyqQqMhYjMS2mbR2XtSNlUSSyRbvgN4hiJIeghlQOp7/fxMo2gsZQO0Q3WRVwTexf23pMVY7vSiLrskEr6VhjS1TBB49zo8mBGOH05AYHBxVFUWBNgarSNC137z+MVXs0KkeMFW6fHhPEJA8Jw9n5kmXd9hNMoqmvSfWi1XsKYxCEWWkxichCIpmzOf+2ZtqObYLwhUtHCGXyQBnOzLzPldN38ItuCCDMxo4y3n+kvHg8YrVHvt4dx2xKG3qhUZzHKOuiwuNZHCxYmaLbz6eSzEgVibaQTHw33lsdqTvs/uDUXfaMgAyvsyNHNu9FT/Jspuj0/kf5nbvpqSSoCKenp0lJonjv8d7hnKNtW7xro0LraWKKzDfxjo7IM2HmOmHChAkTJkyY8PWO7A+R10rzVhGz8w/9nSasnbb+Mc53jSKkj4QYtSmDr3aVCr66Te1ZlsfZ/xrT2NzGMGDNfcvhk4jBBx+rnDRKUSozG1NetAuWdrebrzsSDwUgkUwRoSoN87mlsMKsMCwOFumMOljJj5+z8kHV954V9CVLTSqXi4ApDLdOT5hXUBbC2dma2sWkIIX0sw8yRQwSk2QorEGMUpbCzRsLqjKXQo5EjYhQ15baedqBWGGoENCUkqQqnR+IKSwEpWn9YFU/ER3GYIuCxXzGel2zXK5QDGYwb3OQGU1i4zxNGT/dTcu+GCKGwlpa5zFGWNU167qmKssUcEcyyIfoHSESq7IsFhVlZVmuWtZ1E6dZqtDifByx7LGRq+ZE89LYVtMSFTA+jnXbtr2y6LHRE1tGSGlV18d2QwJlrNW4/ojN1ndt2T52R5/Ujj+O5vDVEAnMZhatYoUZDQFbFPFZ8GZQLpiY6sXw0c7U67i3qkPvpAFhNPw5UrzQc7vD8Unvh5FyqiPqAtECZjhG0nXOFjYSlCZSltEMOj6rvm1xbXvNyEz4WsZElEyYMGHChAkTJjxj0KQSeFwFRbfEu6P0zVCJsVlq8wk6NPAL0d4zJbbUn3GzzU1zEdldnDgHN8JYnbKLSNksPbx5umFUl88mGIoiBv+XF2vevLjEWENRFAxTmqLZa/bWiJVgAkouoxtCrpoDl2vPqmkpC4t65dZsFs+dUn1iSdVcpQMkpdeYQf9j8KUEchlkwZqC+fyA5eUFq1WTgvzciuaMiW55XYlKmLgab/AeHI6z8xXWDkm2GBi2zuMpyVVl4pianuARGcSiIZYA9ial6qRplq/POTAmrrI3DfW6QQFbFlGRo9qNmfMOIWDFUMwKvE+alUQODdOehiqBdd0gYlg3brRdAItEdQgxjerOvQsulzUCGJMytyx4H4fM+4CR6FnTpjLL3iePGVPRBsEIMWVpVDp6x5zdmJvzwnAKKJZoVBvLSO8j4t4+OgpwR/rJ/v0zZDgnt79OQ7yPutndpgaLt8lTR+Mzo9rG3aqAMZE4kZx6lxRWC2u2+t2/wQbvmJ6z3K3iye8KBlzs1r6b75FE4HTtJpJroKoJIcBqHdO+DuaR/HPKF7/wOmVpef72rR1j885h8ih5upiIkgkTJkyYMGHChGcEI4NOvVo6P/QMUDSl48fgYpjSkstuwnWKlGv6tqnakJyOo110s+1Lkv7J3w+WqEekTV4w3tGdzbLB1/YrwRpJpqxCWZY0rUvBs7BY5FKzQ/n/OFyzhe18QzLhkyvQBA04H7BWaJq4qlxVM5DQEVyIYLomBYzBKKgEAn36SW4/lmc1BJSiKghieXC2BIWyKhFMUnP4TI/gfYjGpEryh1AwAWMsPiguOILPygrpUgii70qBTeV9xUhX9QYMIbTEYpJCHRowwqwswfSlf8vC0jaOtq4jmeJMKgxksDanGuULjMxOaYvkN5JK+GpUGJQ2ltHVAGIUD7GqS/ADJULvI5GdbmJMK0kp09J6Hz0uiMa2SExHEgTnA4W1lGX0ICmKVLmoSuoBm8sUxxK18ZkZqyx+aKlc1GfdtYnAZ6j5ob/y13jrM5/nzc98jrM7dzl+7ja/84/8/l71MGAk3vjUZ/nZH/wh3vzM57n7+S/R1jW//t/87Xzzd/yKrbk9go5naLr0bnqOPg+OuabJNJ46uFky+mbnETv6Mt4/UzgKatO+Pn0T58b7w2LcemcE21NBV/Z9h3/KsAfdFciQCmVLgbbZ/+4dqYprPT/+N/8GL53c5cVv+Bbs89/Kg7Nz/syf+/Mcnp7yb/y233JlH79sTETJU8VElEyYMGHChAkTJjwD6FZbB5+fyDA1ERG70mGGP/ce/yQYBlUyDKz6NsfK+rxGHP8de7xe34dxRaAcrI3PmStV5BXxEKIqwJhUfjT5EYBhNispy7JTDWQfAmOBYBCT+mgt1lpKY/De4UMMwFUDlY2qiWW9xpioTunGJCForARiTCQ5chWaMIhsu9K9KVAUoCgMi8U8ETXZFDMPZvwZvUWiuWys6KH44AhN/P7QxrQcJwHXBf4R3jVgFFsVvTeDEQipZLJG9YX3DZ54DdYYConpFAZhMbd4B62GtK+nsGVMO0nVffJo5IonZWUR1WhUq4otCmw6f/A+zhuNpIYRQbQ30gXtAl6R8RyKKoWU1tGVyokEnBFBbZwP3ggxe8cka9tYCheIBrNpHhmJJYf3z8eBUErgB//i9zA/OuSF972HerlMfTSD6Zr6JPDZn/gZfuJv/l1uvvISz73nXbz+c5+OV5AVPiO2Y/DMdo/58Fnpic9u3/TsDVPHuiY2+MB8CkmD1X+1STdsnNKADFnPoeQjq9tIz1xWnw2e12EKjmZNyWC+xGOvoomH17Shuks3Z0jZ7Naxjd+Vw3dMHj8Nyp1yjszew+d+7Gcx87u4gyPe/d73smqbp+5RMilKni6uJEpE5N/d2HRAnNq/WUS+bcchqqp/+B3q24QJEyZMmDBhwoSEGNjoFau1u9UVfSrMIJZO6g7d85f2ZjubAcMmdqbudMqX3eu/XX/yPgLZQ2X03TXXt02ipOX8rW7mYCsGSrOZZVYaTGGoSgvVgsa55ElhQAJFGU1UfYipK1GKHz1FxAjzqogeIAKVdXiFdRPTW2KRWYMYQ1mWFIXtTCYl9TGEgLGxzWEc2Y1d+l2MYFL5XmMsBmUxn1FVRVS+CCnlpr9oIwaxMb3HJJJNI2tC6wKPLttBwBc6VQYDZUYS3PTKB7JfRxv9RFKs3zQthTFYBKzBlhYjtiNfjBhCUo3E6yWpRSDEQ2Kqg8QUHsVRqmKsiQa0IeCdR2yBuhbfOrA2EkwhkhvWFNjCYujJnESNoSGROele5QfB++i3YgtDawKtD8zLSMQEPIuqZD4rMNbStp6irGJ1E4RZWQC7A+G1elbJU+bGkeXf/lN/kFsvvQjAH/+f/16a1ZrTkzLOh543QFT4jn/5u/iuf/03Us1n/PQP/hP+6z/4JzhcFJyeVDvPNaQjttQSG5/3baPbtv2UdmapkObALkXJ/oi943Nk/EzHIkKu+zIgLDAsUgnujxWzeP+EXpXG4Lln/Lnr70iptL9TkvdPz+IuMnaoLtlFMDvXUM1KPnOv4d0vfITv+St/Ha0W/JJv/xhls34cC6UvD1/nRMnT5iquU5T8X/ds/117tiswESUTJkyYMGHChAlPBZpEGtsrndd7leTV023C4br0FTaO2fXddft0nIzJfgHj/fpKLduyflXt0zr2oDOXHBAzw5KgfVCRlAgSlSPWlhhr0KDMTDRkdd7TtKn6rzGpgmkgeAfZbFJjGWANLqoSQtwYFJyLqTNFSayaYguM2C5YNJJMXzsVi+ahobBpJT2EVDo34BuPKUtEA3gleEdVWU6ODri8XGJMiONp8oJ+JGgQmKn2q+ia1TBxlb5T4eQKPGluGYlkhpUWcPFYk5xQTGAmBTGMCPF6TPR4MdIiGKxEBciiNFRFkTiqGMSKCXE/SSoJC9gcjMYxKUXBGsQEhAYEDuaCkWT4WoEYH8NrSUxDcPhmI3YUugqw3SQYKDFsunZtlUIEY2NQXgLWKhIc7aqfik1rKcoZp6e3OT65AdwbTsCOUFpp4EFo+z48f4sHSV0QPWfgvh8bfXb0w41DauL1XISYjnJJ4P6OUrObhOKQkhxtH+beqJBcb8ZD0v2rIyJBoSshPjzLVtuDYej3HCtFsiIq5HugSlmWA9UULNLcE7HEVLKUPiY6IgK3zx26U+16hY1S8DRcS/5uXtP2q8dT1w1t3fCFz38BDY73ffBD1DScLR9xtDjqq+9MeFp4qlzFdUTJr33chiZMmDBhwoQJEyY8PfQrmxCrbWx/t7n/pjnr1sqy9t+N9nsM8qT/rjvjzlXXoVdKYmn64HazzUHkNwwC+/0HJMoGYTQkSboWkoCku85Be9YWGGNjIOZBRAfpLZ7C5Eo0SiE5HSa3EMkNIx5TGJSA2kg6LErhYJ5TVmIfjLXcee0zxGBuww+mHx1Auu/H46M0MryC+OuLNw/Qm8nLQejSM0QyGZIOkWiKKcNV/dEvvVmspImRLzeba2p3/b1JaN9ER8F1YbqgcHyUup8j711El7D9Ta5CYjaIgB3Hq/beNsN2NueX7NiWN3VtRHWBhnR1KTA3Wb1iDNVswdHJCWVVdS1E6mPQd433uW1bHp2dU82qjnzyybT3/OK8O9+ov4N+rtfr+HO14vz8fHAtmeDKRBujAdSNuTMmCYYExoYiRKOxrgzm4eaIj44K2wM6JF3yCbfeO/nRCEpVlUA0Tl1Uc1Zpv6X1zKoCMb7bf5eabHht+d04PP9jEciDdsbtpedIEu2qJAVZ9CNqXctrX3qN1b17XJ7eoJgJblbCYcXp0Un0+3lKEHjbqTdPW+jyFcRT5SquJEpU9e8+zZNPmDBhwoQJEyZM+PKwS8WxvcrbBxY9wdBrOvYFHhlXK1Z2R6BXqUxGFShSMHKdYmVErnQcxLYype/VuF89SQJFOePwhuHwfEFo2xjY9mejqopu33GLWf0h0RRUkslq7kXnO2G6tJSeBlDE2BiAS9dMIjQMncnroJ/xZ09+DK+j83UZ3kuJ22V4fNcRM+iPwqbnxbBfg4/jWHqw7yBkHpF2wz6+HXRND0gE+rmSt3SUjMJGbDzuzGa7O3cZUDAKbdPw4MEZtqw4OTqmnFVArHhTliVlWUXiRIaDk69ck7BEcW3LzbMV80ODTaqZIkTV0fMr3w2U2exX+vygiWTFSaO8uPZkM+bsNRRJnqj2YUiO7WguX36vsNKeNBnsmA2JRzM3TvWoBpFIX0lHuIzHNmhXL6cjY/Jzuvm8hgBa17w5L1gsylzYiKDKqoklnGezXVfSYzhNdr2idr27rnpfbpUTH5DGMpgkxhgOFgWtBh7UNa9aS6mGtlnhDj0qgUePzrY79E7i61yw8rS5isnMdcKECRMmTJgw4RnEVSqPzX12KkN2Ls6PV1Ov2x4/D9UQ2/vtT5fpA4+x2WL/i+7o+7YR7I5V7z2kjkg0Ti2MxSC8790urZzncHFIrMi4cR1cq8QNQ/IlIkV6ElMbtsLWZPrRpQn1rAey60IGO8lo2+Di2aQttnbcfw/23ZqdbMdV2oJ3AEPVSSbZhs1vBORbhw4C5t1kwe450Wtg+rad85wcN6ArqmodDWiTQsj5wNHhEUWqgrNpnqpEQk9VO9KgL3vb9y+SWSnNSobzjp53GW3sDkKi1AmVWLUnmvWmXQbEwEgpMfg+f5YBcRE5jQJjfK9USeM9nKum66OO56zEqzeJ9EMl+dL0YyQjsi1epC1KyrIghIALLRQWI9C2NWsTmM0qRHffvWzQDD2ZkVO8evJkz30f7X91Wt/4uEDQqAq6c+d15ocHvPTCC5RFGdPCGsVd1Pzjf/aj/Jj5af4Pf+Cxmn17+DonSp42JqJkwoQJEyZMmDDhmUMvud9FaGym0uyCdskTI8nAqK1xO1FNsUmGDFMyhm1spd0Mf5F+NfptVdXZPP/j+g3kVXcTfTiMVcB2fdGNPqZDABn7DYxSfjai38HB21eWA0vdOI0MW+rR25ekYzVWExlG9Vvt7CEwhn0TtmX7uU3d2HeDjepmSyYJMtmVDxmQFbGrkkLZgAxSxkZjDdGgIm8bKjXy9e6dJv08u2oqyda47BwAAAqxHNpq1HZWkFS5qxvnUoZkm46atyOioB/inneT9Eyk72VMpAnSVYHJQ6KkVDFVQtCoKoGRrEITwbB91cNUoXSORC4YsZCqJOVzjfdPdzQfMCAkos9Qf0aT3xnp+/ENEtDAweEB81kkZSoEUQcaODycYSR0xEc/7/Ybtm5ue5y0m13Y5fuUf48VqkBMycHh8/yaX/UdKJYH5xdcLC84Pz+ndQ03y2Nu3b71ts4/4WsDE1EyYcKECRMmTJjwDGBoyJhXg7M6IW6+vlzwVpupvXSCK/bMKQ/d+vPo3Ft7bxAXm33rAsXN7fvSdPZs26rssyOwGRE7gPMVGo66flwVTG2m3vT/7t5pUzXQL8kPjtrJYeRAXwaDA/ht4iO32/EJOiQl0u5msHOnCNg1L/a0S0/lDLuzfew+smGXHGJz+z4M2x0ScCNW5YrzDMZrtCkH9Rv9GX0czFuTlArpiKBJfyGCeoGQU5yEoPP+ONX+WdqTCjM8f3fvEfzwKRsMugijZ0T7jR35tH0ezS31Q7E1tOmZ6bs7+FLZPKRrJzNto6He9z6QUf+jZ0lO+wFrobCAMVRY5iaGp4d2vqOteF39aXbNwf2EyVWKt6t9mHrVSVaD2aLiwx/7ZRhTENQTguKcI2jAuYY7d95kPt9dqeidwlQe+OliIkomTJgwYcKECROeEeRAOkv2h3jyajUxEuuPym1urjb3+3XB9Ciw2g6jN8+5RWR0/gq7K/Zspg8Mt29e775AZ0jCqGqsAqOKhkManTNYLt+5Qt1d22aqETL4fnzA0Edlk2PZohR2EFs7w+rN4HYPRmPW3cKrw/R9YfyuRIfRvpv8zb6AbZMjeXwO7+nhMcayg/RzxIhJ9zh9lQPtRGqM54Oi+AGpmLdtnHojpaSjf/K8CN1u3YGa03gAawzKIO3GBLJKS4ad6lJUwIgSBFRTGWVJnrXaPwQ9NRUQMUnFNLjAbj/ZOVdGjez6IpFJmVPKPNb+e5KfcbpGdXBN/bPfkyjXiUl2EbhPAu89b7z2GogQRClshRiDtYb5vOLFF5/n5PDwidt9IkxEyVPFRJRMmDBhwoQJEyY8Uxj/dXydCmOXWmNXSc9dioFYXSe1kwKZsWpjSBr0WoRd/dr0IZFd26/YNty+i4S5CqOxEMVgr0zTSDtvHT/6eviLyHh1V0Z7dJuGNWF2truTJxHY5sV27jc2F93bYL/LnmB2L2Ez6HevN2EwVn3wOr62nZKHAb6CEd+OflxJJkomQ66eD6P2hqcSJaAb9XvGnRmWse49Q/qHRCWaqEYCZDMlTpN/CnRmwtB5qvhmTb28xDdN+v2c+ckJJ8+/jMqMvlSwjLxS4kWYSCIO+645aW8weQaHyeCahmqT4TbVfqsOK/dcO6K5C1fPl9Gr5jHTb/a9U7Y9meJcKEvLK+99FecDF5eXiAg+hGiGm9Q2xlw9T75cTOWHny4momTChAkTJkyYMOGZQFRyXF2B5vGIg62WZUiW5GP79fB+BTzvv53msn3O3VL2fJ5dx2yu8O4LXq6/RmVziO7c/4YtCf4+5cqwP7t+H/U3/07/i+7Zfx+uTD3KgfoT3tfHIY92kVm7xzYrKXYFtJtSgF3+F7Ln2Hz84wR818+vt4vr5tNwPu6aE/nneXuxk4T8mX/4o5w/OANVlueXBO/5wf/P3wbgxu2bfOxX/OJu/0f3HvBT//BHEBHuvPYGAJ/8iX/KxYNHIMLHftUv5vS526kDkRCJ/Miw/4qocnb3LT778Z/i4tFDrMSy15U1HB6fIO2Kk1c+AHZG6ArVJHNZFA2mI07G6WubBGAiWDbeTbvItq7yzWju9WqQq/A4hGrvl5SuYoswydez7z06nItjwnf0vgNCcLi2RsViCIixBB8woqCOEALetVde05eNiSd5qpiIkgkTJkyYMGHChGcBmlZ944dNrf8oj/46bAXj0K/0booEOp+GPeqQrfZks2s79r2+pPHmd1epZsbfa2rfbLW7i4j5ssmS+MVWqs1V7ey7pl0EkeR+79jvqgD/7cyDvG0XUZLv6/A2xf3GAfpu6chVfRkGy5ttQVQ1DK83fauMjuv79uTR43VjeN282Hns4Jef+sF/whf+2WdG3/+97/0bALznGz/Ax37FL+7ae3T3fvddxid+5Kf4xI/8FADv/cYPcPrcbcSkukqm90oxeRBUWS7P+dkf/zHOHt7H4DiYl7Stw1QFrm1Y3b/HwfExxclLGCnAGDSElAYjnZHw0Dw1010hPPkYdyk6G4duCM0G269Wle3fnl9im++r+F8mUzJZsk2YDI/v29kkFIN3/NzP/jjruiWEWDkrhJAOD92z+c//i795Z38nfO1jIkomTJgwYcKECROeAXRBcZQrbH2/L3jelXITSYQdK6qS/hkFHf1vMlitHZyYQK6fk8+TVSqbfYnH5u+G/b5uRX/Lz2Mv0aKkYhtb47Dv2Ks+XxdEZ5Jp8M2VRNG+9q+7vscnNa4/53UpTFtpM93PsIMcYWPfnvjYvvfb1xt/mm7ObJ939zWIbO4jxPLNfamgIXEyVC9cRYxddc7rv8+yrEGArfCv//v/ZlfCV1M6j2GYrtUH8O/58Af53/+XfwhM6m2AwpikHolthDTMRgREMAg2leIJBIJ3fOmTn+Li7GEsWStKZUtW6wbjHAdREkF7dpdicQjlCVYMPj/6ksiS7NGSr0l7wiOn3ww9Sh4rzSU3mz50HiVdq9rtdxXntc+TaNu4tX8n9fOzb2P/M5dJlO3zCtHr5fOf/iQ/96nPEXzg0fmK1nmCKqoB1ZiG8x/8vj987ZC8XUxmrk8XE1EyYcKECRMmTJjwDKBb/YStGPI6T5JBK9efaCsyGP66QXxsHtp5F2w2Mw4mNyXx+4LR61QmsBHc7BiXUS8eg3x4nO/G++05+c6t0m143L48eRrV1QoZhUEp3qFqY2drjFfUo2/NsO2r01Y2iY1+tT5/7uft+LAcjotutC0DdUJuv4u0ZdSASD9HNX1/Jc0zIL9GfOQG6baP3NvUJXRnCpqyWsZztWu+Iwui6XAcahP1Y2ZwznRA5EQkBexDIgtElYuzh3zxs5/BuRbvPWVpQAKtV8Bzubzg+Rduoq1DL96CI4uak0jmhKy8iG1qz2r0JITEf0ZGrqlPmSsa7ruzFHXHqe1/xscqof0ph7tTcLjymOG++wnHfaRfPKatG1577XXQSF4N381P9tS+DeRJ+naPnXAtJqJkwoQJEyZMmDDhGUFv8Lj/z/Cr0lTi5ljtIq1pp8BoQIKMVnL3BfNjwqZTujD0uBhFQ4O2dpfy3aduGF077L22fiV/WzZ/Vbvb1/Z427vvR2SADNfERyqb4RFRtLNf4bJr25MQJmPyaKMHJiqAIKoGRDfJkHwrd42VHSmFttMWupOOPu0LVnvyZXxvg2jnjyHKgCxJ2zuiZ0h7aJIqmP5j/kbyd3F/k6Ua+yCRIBBJ6S0bqSZ75+BAITKMRhVitRoFo/HMIjFtJl6jEjQMVDdxv8zU5Gd3FyeY+QlJ4+XV8daXXmO5uqRpFWvAaz/WXpWqMPh6RXVyRFitMPY+Wh5gTdWpKFISDsZIp45QSYoYQNMeZkSkjskllUyqjEYr3m9NipThIztsiESIpeM33xdXoZ+X+wmWoaJpi1BF8xtuS6EyrHJ0cnzE0cmCsEXmCaL61BUfk6Lk6WIiSiZMmDBhwoQJE54BjIOxQTD+BAF0bEORRJKMQ7leVt61OYj9hqvEDFa3h8fl/uxKuZHN/a8hSzb7ff3FkQKY3Pesbnk8wmGoEngcQ9x935tB6eax0GE8Zk/qizHu0+C6JBILqR5K9+2Ymor/Gk0jkviErdGRAX0gkURTEyfB0Ip1uAL/jqaviKRMj0FVlfSdGcz7MBwCHaoBtiZaPyISr0FIqSvYQQdiYGxUCGlcbEeoMG5zA7sMQbeeTY0Btkr8zhBpyu4miXTXG6/dpC6noHxTjZLb3yDpAEII3L93l9rBygUidRdAA4U1LBYLvMY6PN57JBh0eYEc1YiUGGPwfqBkIY0xgk1jp5kRGSg3YosRmQhCB2SUjn6kMfX9+HUkcBqU7vPu8X4cc9f90I5Y2no/kGmuTLTkqjz9HJPEElfVjNXFOpJI+X8aKSTNMqGniYkoeaqYiJIJEyZMmDBhwoRnAP0f771541VS9L0BfxdoMFI/jM+1rcaAvCmGEtkMcdi/LkAfnHuTFOlix8cOatKpR9exGeRoz0NkwmSgktglr78qeM9+Ek/er35bWsvu+tjFlXL1uXf7g+Rx2yZ9tDvT9r3IwXdeC++4h7zTqGPDM6agfZgWo1f3+yo8znE66GJm6FQ2qa5Emgy6v5WzMz7xeKsMfgzUH5r27Z+ujRblOlXMYGfd/L7/qSGKYTb7Qz6v9CqKbv6asedNd0+SrEEkztes9AneE5xn1XpciITPwcwyKwyv3DplfrBgcVAR2gbvAt47SgTbrJD5ESJRRRJ8P3dVYopPJkM8A8JicI2jIZKNz93e4089ISFdGx2Fm7mGjXb2p9oMPyf/kwGx0j9DVxBfRLIpvgMyaUN/TwbnskWBaMAgGGu6eSLdeScm41nGRJRMmDBhwoQJEyY8C5BBULJjNX+fGWdPVORjU3ODwH3kGTL4bVTphv64YTg5MouNG7a63u9zdeCgqr3p5R5VR0w/Gmon+h7mNW1BOy+Nfee8qurMl4sh7dD5tuxYIH+883X0E10ln04jspvQku6/Tc3QYB+NAfBQCdD3se+s6JCQeXw8FjkymjvxWowOV/UHhE9OxemOZYMkuR45DWRMg0mnolGhO/87h/5sQyJvTJL0T1tg8KyZeIBqTr2RjiABum1dK9JTDy4EZqbkhZOCV2+dUBUlZVWiwPm9R1QLSwie9brFFAXqXZxfKSXIqiEQK9xIOpkxMW0vvoJS2kq6ls7YVVN6kWjvA9tfZP8SG5AZQ2zRVNf4FG2+6/rfUwsDklY1kI2D014dwSQbpJym1KCsHtlkbESEoii4cXxIIIz6nVOKnpQMflJMqTdPFxNRMmHChAkTJkyY8AxgV/WaLoxM5MVY5bEVGnebVfSq+OOxzr03EM6Eju7rc+zEPjPQ61QyO79jIwgFkMBmRLrvXI99bU/Yr34VemPj5k7dTx39vn8FXAgCRkMneRj2waR7HEhsCHvmxBZpMP5ueI3Dn18uoXT75ONb24JEhsKEzNCkbUi6hh2Qnb/uhQ50NzJ4HvpfdWu098/hrcY5WcVf7188H8/RcRqKbCiq8u/5mc0kg0WS7+tuEmzYxkgllUxXjRGqqqQwhhdvzHl+UTC3JbNZxeJgQTWfsV7MeOv+HUQMbeNwbYtvm8Ezk0mZREpmJilPZZGrukf2UurUXHHjiKDoyBUdU3C5Wc0vkcwG6G7OZNPrRzOx0bEy8b/+WdpUegyeDRm3FWeEJ6Z32f4c6bzr5ZL5vErP2QaVGLa9T95xTETJU8VElEyYMGHChAkTJjwT6Fdft/0rxgFY/pwDh7windvJgfU+CfuT+HPsTPHZm6awueq7uzznrtSh0Xe5sVGyxCDw7eQQwDASfgy8HRLgccij3efpw/JxML6bfBmRIZAlB+MxhK7CS96QV8c7EYb2+74dXGdEm/d5krEUhT/9Z/8+H/9nr/PxT7zGl157wMsvnfLX/pt/d9TR4dz43Ofu8kf+xPfzIz/+WdrW85EPv8L/9Hf+On7pL/lA2nnjHEg/J4acVNp5J6W0Q3W0MwDedamZwNxsaqCsEIkJcEOl2JgcGxIX+8czj4u1JTeOjzmalcxtn5ZTFIbCCvN5xeHpEY0qzisaYL1sMOePOHohESMwMmGNlWukG7f8/G0ZrOb9TWKAtCemxkMmiVjQbr6PCc3tgxJV1yk19qrNBnvv+i6TS5vvFhkQN5L2H86BUQphOrXzjqoscDr0JElpiSaWCX6amBQlTxcTUTJhwoQJEyZMmPBMQDb+ywHDrmBVB9+Pg65O+b4jmHjcwHZfVZqhKScattJttmT2O9rYbi8GUZs+I9pdTSKCNsTvOahTCWmNXjba3d33rQoYT0qcyMbPfI6uvfHOm54kkoLn/uq2ZROSiLDQ3c99S/uDc+7iBr5C2LeybkxNYdddv/7on/xb3DiZ89FveoHzixUigap4tEVWAHz+iw/5Hf/Wn6Owht/527+d46M5f+l7f5L/2e/+M/zJP/Kv8it/+XvpKuCMe0MX7Sv0Nrg7guv0c+vp2to14PwcmHdHbJIamQroVQ89xh4+OQUky03Y3Lnbr9/WH2cLy+HxETMbvUayEsOYmCpijGF5vuTyckXRGnxwiBPWZxeoc0iZlRPaVcTKZFs+v2QyIT9TaaRMGhuVaFabDU6HiqDxc61oCN34bKrONka9F4Rs7HuVZ8lVZPA+onbrBm0w0fk+FkVBYS0hhJz11JE/Piite7pEyYSni4komTBhwoQJEyZMeBYQFDVjo9ERcTD6o39MUPSVGzaVC/TGg6LsS8TYt3q7a3U9LthvEjXbBMV1n9PWkWak3y8TCVknoagacqWbLNvvUpLYjjd3Xc+ua31SZURObRquvN9dvDZqO6sDHj644C//mb/Oj/3jj/PwwTmnt475pb/6Y/zm3/EvcHC02Jc8tVNxf9UKe1roxgzZEuC59bse/7oe85y7zr+1PXXCmjWz8oycbfMDf/W38p5XTwD4F/61v8Ry2TIrz/vzDdr4o3/iBzg/r/m+P/+b+Og3PQci/A/+lffyG37TX+T//J99P3/rr/zWx79vWdUwGOAu4yP/ItITB+OLyTsC81F6D0h6pMbVpIbpcdvbBqqXAe+43eU9qiNjODo5YVEVKAanykVd484VEYOpSj71c5/jsm6YzSuODwt8EEqZJVIxX5KQ03mArqS0pq+GZcWzmiLzOsLgn+HDp5uKHCForMiDPL6B8juBofpE1cf3x3iH/p51/HQAFbL/0XxRYUqLaUE10DaO82XDxbJl2QZEnnKo/bRTe77OMRElEyZMmDBhwoQJzwCyKeiuajK7g+T+yGFgFve3aZ8sD88BUeiCmYEo4wrFgg5oCNkZwV9Flgy37SdN9ig8ukB2kwTZ0R+5WjUyanfj/G/Lr2QoRciS/A0lyaOHF/ze/8V38+DeGd/1G38l737/S3zhM2/w/d/3D/j4T36a3/dH/1fMFtXOMZWtX3Yj9iVGsJri/L707u7+5+OuUtbsJcmeOG1prNl4z6snW32TzYsVYbls+Vt/93P8sm9/hY9+5PmOWzg6LPktv+kj/OE//sP85M+8xbd97MXuLMNWd9x9RuRiMiId+7sMflUYt5LIuu7TZj0p6VUV3Vwf9mqT2ByetjdzVVJFFYRhYaZhL0WE+cGCWVUQnCOEgss68PqDMx7cu88v+NZv5vkXnoM33uT48JA2NAR1CMmsNZ811WAWHZB+2l9l/rdXUgwuMe2QnqCOPNpBqeZW2InRTZMRMbAvBWofObc3ZWpwnG7sP57POng+4vchfb5Y1rxx75yH5yu8GhCDMRZjp9SbZxkTUTJhwoQJEyZMmPAMQIzZLRNnW2oe/8g3wOYf6n0o1wcuulMBkuO4q3wR0kGpP1s9ZkzSPH4g3afwjK+pl//nzmsfQOaUCvr+j8Pwx1OH6MZYPA4ZsKXS6Rob7+ekxZsYlP6//8Lf4O6bD/i3/o+/hV/xXd/W7fP+X/AK//f/6C/yV/7y9/Mv/Y7v3G6ou8TNYHvf9YTEf8W5UISCIpSj/m4fc30Auo/0gichTPqw+2L1nkTQRQYgaImqcrF+L5tkxU/8zOdpGs+3fMs3ctm8j+GU/chHWuCH+eGfCHzow+/bmgSbPdM0j0LoFVaP1esQlRDHiy+yk83qegQadt2/fH7t+9/9PuzlmGTsyBIdpGilIN+ktJ5yNuPkxgmvv/4mMzEUCM8dzLDBs3z0iJdeeJmZa5kfH/FwecnF+QXFbIYx5aDqjnYpNnlc+nMP+7b7OcmZQ+Pr0JHHRwiB+I7aoLEyUTsYo00ya98cHT6L+1Jw9qXf7JrjfangwXWlPgTn+eLrj/j8m/fxMf+JQEwnCqqYnalf7yAmouSpYiJKJkyYMGHChAkTnhFcZXa65whycCISUqq9oBpQNUNl/c72s5Z+yE+MotIOuhHM5BXZcW92qWFG59vEkPfIQeQwFWIUQA9WuncE7JsqlUiumNH3+Zh95MhVxqXjTjPuW9rspaW2KxDDP/3xT1LOCn7hr/8GarPs9vm27/oGyj9Y8Pf+f/+E//7/6Jf3LW5F+AzGpudOtnqoGlNbkvpHwoKCcud1PCl2B/aPT5hoSpNSFB9AjPRzMqsU1ABKGJSlfeutMwBeeO5knIoGvPjiKQBv3TkbzVEZ/jtKfQHXBnzwG33L1zLkpYZpJoo12hFQQ51Ff970DEiIKpUdtONVKqet8dqryOpPKyKU8wXv+aaPcOfeQ85rx3tvnXLzxiF33rrDermMgbxAVRXMw4xHF5eUN18giO2ee01pbJKkIfl1AKSy0nSkhxArLQ16MRzBdKHa3QNNpGbwDoyMh4zBOG9sG6lQdsyxzXfKPuxTlwwJ1bzfTi+T9HPdet58eI5TsGWBMbbb3/vw1DNjZLJAeaqYiJIJEyZMmDBhwoRnBNelj2zvuz/tRdBOOn7lufKq8kDFsb9fMZjpz7m9/1Uqhq0gEFK1jf4zKh1h0xledgklY1XJXtXD+ILoVrHZbfCoBDrvkwG2iADRro99gDhcGofgA63zNI2jrAqaxm2tnpezgruvPeDenUcc3TjYGKlhvzPMKBUjj5UAIXisMdHYc+vbbVKn94Dp2x4fN95/vE0H4zc2KI2/ZwVEdzLQQF2veeuNNzBiERNTQLz3hBC4f/c+pDLIebzvvnUfAO8bXNuOrrtIfV9ervGuzezBgO0bPj9530suLs67y9ki+EIg+EAIig+hU3M89/xznBxsjsYGyZb+lcQ2ZKpEx/90w9F3ddPMeDDekvs5nDg9Syam5PSld/EL/7lfzc99/JM8fHSfm3LE4dGCy/NLHty9B0DTNFSzigc1/OwP/yzvec+KmzdOeO65m1gbCaqyLNCQqs2QrElUk3FrTquRwXV3GpT4jhmOREfYxXESMf0zO+ZBNsZ/cO25tcdULV1l9DpsR3XHjd+xP4P9RODGwZx798+QoqUoS4oihtdBA977zeYmPEOYiJIJEyZMmDBhwoRnCLs8PeD6wGFTXRFSoHhd3n4XrI04hW2yZrhvXvztQqbHCGr2K0r61X90cN2ag63hcjrsira2FB86CFa7fmaSZ5uQir9eEckN+7t98i5IDxqo65qf/cSnmM1K3jpf8/1/9h9y66UbXdtvfukey/M1AP/d9/wYt168EVfwA/gQ8Gn8jREKW2BMr1LwLpILqh4NsSbO+9/3br7pwx9idXi+i+Lqupjv3fZtGF63AmZEfIwC+MElj2L4HYobHYxJ27Sslxd92osxhOBRDayW5934CyYRKTFydm2gdW0UJaSbuVrVAMxmRZdOQ6qsEiP0ntDJ3hnBe1zTpnsffXpMMk4OIe4bfE+WBBRrBA0uqh92BdjDsevGtw+wh5VgetXCcL7tIrYGY6s6uG9jtC7w4OElr91b8bNfvIssz1lYYWYDy2WNvPkW73rfK8yPD3Cq3L9sef3+I9648xBjLEeHhxyfnHB5ecEH3/8uPvrhDyXihI1SwTp4drYHYJOO6+9B+iWn2HTzZRcJu/lZd/6+b588ttftKyKYPemM+fPmWFtT8OH3v0zwDZ/43JvUzo9IrqetKNn5vpnwjmEiSiZMmDBhwoQJE54h7CIptoOl4er97v10EMC/nfPn33vfkD4I1LTq3QVKe1JrHsczpD8Z7KpfMyI1SML+PQFkXDWOFYA6ekFBZVA9J13EzvQRCQxLzu5OMdl9PVGO73HO07Yt7//Yy3zhU2/yd773h/jW/96HOb19wsO75/zE3/8EYgQNyvn5JbOTKl6jEerGd4VXiqKgLCuAGMwTUN9CUJxr8d4hKE374pbKISsUVHcFhnEcdt8Xs7FvjnrD4PNV93N77oYQSTsjJo57l6DSz6dE4ZCJmVs3FwDcf3CZ5AZ9meS37kZlyAvPn2ycdnB9mo8ADdmfJMRzdNM59icH8IqCTdfrR/xXd02bRqd5PMKmV9BwSonpjthMCdlMF8sH9ykv43m3XDV8+tOf51Of+iyvv/kWdVPjncMQ+Pjr9/nA7UNOTg44OjpEioLV5SUrB3ceXtI6DyFgTeD+/fs8OovpTT96dsa6bvlF3/bR2L8QOsFUl55H1o9o38+OgNykSiJBoiFgrYUQB3NXufI4JmwKb7qx2cQ+9cjjEir5XvRqo8H1bO0PYgxlafnQe1/i5HjBz376dR6cr/EarlX8vROYzFyfLiaiZMKECRMmTJgw4RlC/gPcGLM3WIh/8I8DlM0UnGE2wl7kIEVGsd02QdCr7XO4yfCIxyFJrvW12C5vs2P/PmDe1Vb8bBmqGqRL4WEQleX9ickDGoO76J2p/aBsXctuwiqXUA0EgneEELj14gm/5Ls+yk/+4Cf5we/78a5/7/3IK5zcOuS1T9/BloKqj4F8qnySLXpjSlDkCYL3gB+Zhubfh6TD1dDRz82gcH8bw3k2VD5sTq5dqpIQFRyEVCY2EV2pKlM+RHN7Eq/m/e99jrK0/MRPfYHgHGoMYi1o4Cd/5gsAfOTDrwyUBH11p/hRu3vt25aL87P0zOTuayJoJJJWCoUhqrCsEEKLiEHDsGLU5mUO5kfIFFz8MoSYctLPz97PZ59B7vC73P3eQwN+9hOf4cd+8qe5f/8+3rtEnsVjHYaHTWDZeE5vHNM65c0vvYmZVfzcG+c8WjVgTEynCT4qlxqPMQarJV/80lt88APv4/bpcZqPmwas+5DnxqYnyPj3MUU3dnLpvY82WpbNNq/oxTX79uOarWz3zeFBrxWKouzuwfO3Tjg5WPCzn3mdL915iHPhytTGdwRfATLm6xkTUTJhwoQJEyZMmPAMYV8Vme10EdlKgdhoiX71lH7Hoa9E3ICodDxFDmu2VBSjj4N+bbSZ+7cPV6lMhrL2nd4rQ6HD4Dzb+24SKSk4GpEkGyvhmvgS3ThJ+nVnQJv+jalOsUpKSKvnISivvP85XnzvLR7ev8C3nqPTA+aLir//PT+GiLA4muG9J5eFjgF3DN6DKhI8qhL3kUAIMbgVifv44AdB6MDFpVui3xe8jkZ9bzy2+zblQHNTdbIlCej7pnQpL1E9c0V/VJlXll/+7e/jB//xp/m5T9/lGz70AuoD63XL9/7VH+U9r97imz/ySupjfg6iWkCGZFgSc9jCRjLLB3I6ziBeHqgNAgaw1iK5lG63n+7sspGYMpVVPyCoRI8PGRAeGyOLiPSVeITB3M9j2h/z8GzJP/rhH+Ps4hGE/n71NAWce/jkWYMuWuaF5cHlmnvLh9y5WIMp0tAGejWVEgIYE/De8fobd7h143Bw3o15sfkoaUdbjt4b8TzaB/nD+9E9hr3XzaY30C7S40nVG3vfCwPl0Taxs02+3n7ulM99OtPCwmxW8NEPvYvSGj792j2Ce7pExqQoebqYiJIJEyZMmDBhwoRnENuy8V0qimFQo6N9ROIKuaR0h2Gg0+2X/9V+lbcjTDYCiUymXNfXXdsfx19llzfBY6ftbJxznE6j42Bt1O7AejMpDLbWt7topVfX6CBS1RT8a1C8RMJENZYdVTEoysmtA1QVYyyrZc2ju5fcfuWERWWocMyqgiCWR3WgCXGsvXPdzQjqIPT+IiK9j4gZpHbQpRTkVJBxULh/PHcQHZBSdzaPfQwCRnX8M43ef/sPPs1bdy8QER6drXE+8Bf+8g8DhheeP+LXfcc3Ism19nf9zu/gJ376S/wv//3/F7/tt/wKDg9nfM/3/Qh37p7zR/6z34YdVsMZqn02pFSmNFSLA5rVMrEauVJNJMXysQHtKtmK9PWSkl5iz7iluRuSCkOI1WQ0EV5CNEqVnjDZbUA8/H3sI6Mon/7sF1iulhCUEDyZuFTN1xKv+X7tefj5+wgQCHEsxfaPflAkpxcpKAHnWi6XSz73+S/yvldfYjav4jXrxjuInmDpN2c7V5PUGokyyWqXTlE0Hj9hUG0mk7B7ebPrSZN9viZb815zn8dk33DMh/enKCzFyEVZKAvLh973MufLNa+nNLAJzyYmomTChAkTJkyYMOEZwVXEwL5V0qEKY7hvSD4HncJgI2gd/jZSsQx/GQSdo/DkHV7pDCHsVNIMPQjitrRir2xdb+5z5kRyMBZ32EUydWcjD1SMozb2GbJDG6RJpwLpgspIWPkAXsFECQWiGpUgQfmnP/hpVJVf9EtfpfJrmrrhgDkvHM+5VRV8/rzh0gUQAyFWdQkhELzHWoNg0j0RjFhsYSFkJcyTE0tX4+3f6N7PI3QB6t/6u5/kZz7x5mi//+q//hEAPvbRl/l13/GNcaMIr7x0yp/+4/9j/th/8bf5f/65/w7Xer7pwy/zx/7Q/5Bf9ks+NJrPw7BXuvma504/KkYMnjTXshKlS4vpU6hiGlXecvWoqipePU49lkRK5PY0ERYIkFN5QFMpbw3azbdYtWg4p+N/wStvvnmnG8teHZGfzRzIS67Emzx5ZKyu0UTYDK9GIYSWuhbaesVyec5ifitW/tlxnaMDNY1PUDSbuqR7F4JLZKHvrnnfXNp3nuH7bic50pG/g7LE+ZhR63lm9CTPUE2W77dq6NKzuvRHKTBitvpQWOGD736BOw8udl7TO4ZJUfJUMRElEyZMmDBhwoQJzwgeW4ERd9rcsrVa3YX1I3KlP1duJ4eDMjxoI1Vlo6dkZUoONK4jefb5lTyO4WvvlSJXBq1dqDkKCGXwYyPs3Wjs6tbHh28GjjGIJZmHBpq65R/91Z/ixffc5PDGAt96XvvUHR7eveRX/5oP8t5Xjnl4vqSyhllVYsVwYoX33pjxz+6tCAjWGrwLeB+Jki69Qen8EWIgN+yKbgWbcehk77a8/XGIutF47Th+tKK/MWa//3/3G2KgagRjbVRuGEGM7cZeTJx3Tdvy3vfc5g/9J7+1U5lIf7Lt/g2+TyExBOXs/IL1eo01klQ5ghiDTWqIrPTIqRkaHr9EdxwDOgUREgkxMOOiy0pXyQfoFCeZ7FCU4OOYZMWSIRFkQVmtVmRCIKYOxQpBowtOA2RMDvb7Ck+ZVBCk84qJxEAc9RdO5vzab303N44rGu96QqdTKHU9Hz/zDNrvnulUSSiEVKEpbM2DTEh1nd8nVduLfC7IhsU6mPepY90+AhtzZkxKda1uPAMiYOy2V5SIcHI052Qxf8J+PwGUt596MxEsj4WJKJkwYcKECRMmTHhGcLV/R/Zf6Fehe2xr17s/7geKkCERMEyl2L1HpzehN6qUwZ6D/US2SI/HMWMcBtf7gvbReGQvlR2Gq12PpV/tHo9lQDE9fdIRRLsruqjm4HJ4nqQ8GQZ5Gz9zcKvBc3g657XP3KVZtRSF5YWXjvjO7/wFvO99p5yfr6iswVihbho4mKMKz904pKpmrOqGtQpfeNDElXkSCZMUETFATaa/QvJXuXqsr8I7kua0tUO/3q9JpWCM6YL5dOaOsDMmlgd2wRGCpyiKnvnaiv4Gc3ljRgoxYO8D5pgektuwSUXSGbwiGCvgdfzcXEUUDr5U1WiwKoKowZoiXk/qt8iggrEAogi2ezazoko0zq8AaEqpWtc1l5fneOc6ckw1IBoVRWFIDgzIl9juxjuBOIf6OayczAy/6hte5tXTY1a+paGCjtzox6NTfUm8lyErmNL7SPM1mNAprIIfGOwOO7GHpBjtJNsESkcADtRCUdGVx0A3b82IlI1TNaCaU4UGJNlQgZa2ByXe035IOxTWcnK82LqOdxSPQdRNePuYiJIJEyZMmDBhwoRnAFeRBeMgQrogBvoAYPN4I9IFMz0VMq440YkthucZqDZynNLzAgPFy4AI2UVq7FMu7MLjBOkjj4xUwld29CF2ur+efvuw6klPhKAGJGxTLoNUnyH6YC2vutMFlPl/ABjhF/zqD4LAwdxyWgbcuuW500MWhzOatuX+owtQgzlQQgrcXe2Q9ZrTwnLm6SqvCDk9Y7B6nu9XXn1+gsDqWkLubWCLjJEUtSoEDV0aQySpMqGRvsvHa0p18J6H9+4xW1QU5SxxANF0VUzfv20rUXoyUcEWBtsMKtjEgwbKi6QcEIO1lqBpzEdkTn9oF/h3QbyJKTLp+jSlm1gxsdKMsVvKjHjuXmGSq8xIIjti80pAWV4uObVKdWB5uPas2mgCG4JSVZbgo2qjezpGXjZ5vgx+B0xpCa2nAN5/65jjwhCch8KBjalCI3PWoWJKU7pNLM00UmsEVSSRTSEEnPf5ajYHcTB+G8xGR3ZcNQfTPR+SmVcQW73aJJM2+0m3fv4PnjnJ5OT4kNOjgyv6OOFrHRNRMmHChAkTJkyY8Axj25x08OsgENqlrugDnsGK/C5FSiJUhp4G413G+wv0K8gbZM4ur5F93+/CvuNzG5vbrjpf50XQbd5xbhlu39DKpMN3pZXkc+hmSKkB731clVcwBPyqpm4NjXe89eCC2XzG5bLGafQXrWYzmqbl5PiIoqxiiVfvsOuao0c1972PKQxq6EwycxpJvrXXcCT70p82x2343a57tcsrZ9/5hjDd/vE6cmZXDGIhSPLyCPFiQggs1yuOT29gbCyH3Rl/wsatlLFHSw62jXB0dIy6wOXyIqWs0AX8YyLBYI0lGMXna8gpJUOSbgRBzAYBqYnkUIWQvDtkGKyDMbYbwyEBGAmTSKJ4Ypnh+bzkPc+dsPCW6uCYLz5Y8onX73K2avE+xPQsn4Ukg2oyZiiD6FURku5FYUsOJHBSmET0BWwm5awgqeRxVI/kNJo+3SaTGdHvN6YxdW8aVbz3hOAyrTsevix92po7Otqtuwf9cI9Ip+59JWPVynYKTT9ppGuj3zemIdmNfQERrLVRuSM6OlYETg8qniamqjdPFxNRMmHChAkTJkyY8Ixh36r+ZnA7Dlo3gt3B//a2P4xBBlxKt88g8WSszhgHyvsIk125/fuuaRw07lapvK3fRbfokX51Xfs0ns1YeESgbAdX5LSDLg0gBcRB///t/Xm8Zlla14l+n7X3foczxYkp56yBqoIqrBIEURSEQtRuURRBFBsVlaufvrb3qpdWbK98QGxtFW0R7dvdOEFjf2ztFrAVBKSh1FahCkEZCqGmrKysnCJjONM77b3Xc/9Ya+3hHU5EZMaJE5H5fKtOnPfd49prr73zPL/1DIBHa8/uzoDdQplOPNcPJ2yNC2bzkjwmZa1qUDw3Do6oK8+VCxdAPVVZUYyHbAGXtwpeOZlGIy0Yq/gowrhss0aim8dRau8mseM0gepOvE1WxpzQCDvBMK0RSeV3O+2IIok4Ybw1DiV6NYSQCHTCTFqjtfHCUKXxJhLfGb/KYDigrsfMZiexfR7vXeOh073uvCigLKm939Cx/SsF8LHqjUNIJXhDzt0gVbqmT1LiUAieKHXqHnAOrVN8Tji2EEJasiyDUtkf5Ww/doGtQvjAR19k6ksKGUGWBXEujUUPLpPYx/0RoqrUVRWOSch9Uy9KfF0jGYh6vAje10HsiCWVk6BA9LgJ4y/0Xx3jiryG4DaNy3xVxtu17PFzu36NGy29kyDd985xlp7LbhggtO+hlI/FQSOEtfutPgNJkMmygr73S8twlN3Jhbx6TCg5U0woMQzDMAzDeNjQVNkFmqn329qnPQs/LGk0gBWLY6OHwSYx43aJPlvvjXDGTYlEm+NEgaLNE9Hf1jm32qamP0LnJOOnu28qb5zSaSYTTbr/JqM/9UvX42TZ2YZ2tr6/3JOqkHTX+Rh2IAJ720Omtw65sD1iMplzeFIyzIXJZMbJdM68CiETl3a2uHRhF5KBWoLkjtH2mDc/lfHsrROmZYl6mrwPqf0uhrF4ARfv97Lgte7zutww67a7W3r7av+3pJl/BbwGz4usLRObQnLGW1vsX9inrULiW3FKlkJLms+dcsEED5R08sEoA3FMpyfxFsuSSNJ/wPrjbcnxIQ3xzgZ1XVOWi5BTJV5nU+tFHHnmoqdMt4/qcN0uPus+CCxd7yWl9Rzy3uOrmvFoxKVRziNbAz5+NA8hPy5HcNS+bBqrsX977e6cv64rsgyask3eI+qhqqiICYSrOubcSfk8iGE/YQzWdcdLKAlW0Atz6gs17fMn8YDNMx7/Vd8JI9LwrKdjNJpm45Civd/rhL/177mlsKqld2NXjMmSGLny7AhFXnCWmEfJ2WJCiWEYhmEYxkNCdxY8iA1xebQH72ZWH1qRYNl9fV1S136C0tWZ9v6s9NI6WS6jqivn6V5jWBf2+PnDKlybc2F7F/ZbzCf8m//rR/gP7/8AN65fJy9yrj76KL/yC76AX/55v3o1BKe9uM73ZTor1xkhzU7RuNP2WlNOkE/fH/Tc/7sdkmamQ1iSoxgOOChrxoOM3a0Bx7MplYeD4xkn84pald3hgKcuXWI0HjIc5NSl4rIszPiLMhjm5BkwV8haI857j2bZ5qiQ23C3YsjpOWc6nkvSbUwyYFm6IXG5hhESKsa0+UuqsqSua0Q0hOxI8ErwvkYEalXEezwxV0YnpCJ4CTlc9Nrx0RuiKhcAoXpQnvXakjxT4lBuQpra0rZLV9uMH23aX5YlqcRsCsXJnKBZhpO8/yyoNt4x4jt94WK4XLyOUHoX8uEQfyRUdc3QwfbWkJ3RAA5nMcFvjXMZjpCkVH3KYdMXk1LFm9CEGkWoqpqyKvF1RSEeLacsfB7GWAz58o2nTxAYvK/ishj6JTEsSrveJ6nMsuK0Px6WxcW2W7rChzTHSmMovWPuZuT2x2oKvuov6Q9ORbUVrFIum1WxRZDsjD1K/F0+1MZdYUKJYRiGYRjGQ0Azk4yCCt2/708rW9tLcnp7t5OVLfsGy7LXyfLJPN1kqa2AEtqsHSO58VhYbtNSc3tmjBNc5vAe/u63/U2e+fCH+eW/+vP4/F/361gsFvzU+3+cf/T3voOXX3yJ3/w7vvIOr3bpvKlF8TLa+ezo1ZCuW7QNo0nCSNfWXXOKduZZqH3N0cmU7d0xqsJ8UUc5QTiezqmip0DtlaOTKXmeMWFGVVUMB0pZe26+POcXX7jOreki9HVNzwhNSTxXzb8759Ukb11N2pquPvVDR0hKbk1p054Y1U2Q2RrEi3LOK6+8jETxxPmKVz76IY5v3WAwHDObzZnMZ+CDSDGrQ194DSV2t8Zj3vyOt7Fz6SJoCI0JCUZDu1QVrzFpaUcIS62WxvBfc+3LCyTk+KjritrXwQMhChK5c+TDIvi3xO2SJ1TPc8R7EHA+VARqPUpCGeDhzhbH15S6XOD9iEFRsDsOCW69b/PhLD97TZuTwd1x7PC1x3thUVXMFyVVVTMAxNeod9R1GPsQz0F6SrTNVyKuHXmNQNMJw0nvh67YeAdDrW1/52VxB7veTvxTaO5X0//ex+TA/fOlZyLLklfTGmHn1T50xgOBCSWGYRiGYRgPGWkGXmKoQfcP92Xu1tBt5mq1b1CJS4ZCNBqS8asOJbrDq9Dk9cB1jIcoNGhqfDsTHBZ1jQyJLjISjxf2ntdKWSvOC8999CN87EMf4lf82i/m1/+Or2oElU//NV/I//SN38C/e9/7+Pwv+/K1lpMAvg5GWjjFaX1zG6+U6MUwcDBy6Wp8ew3QGIbBCNQQUoJS155r14/ZHxeMBlCJI88dtffMFjXh7obwikUVDNVsWIATFnUwXn/qYy8wqYO3QPIMSF4GvSn218jp3iLr6RnjHQN4o0Ep7dijGX9RDIhhMCl6JsMF7w4naFlx7dmP8MLHPsRwmOHLY4qi4MruiMlkwdGkgtJzcbvgaDLj1knNfDrj6Kf+A5/+Ge9md/8Svq6j10oQLNR7ah+M4Gb8Zy7eXj31meovbivVBDFB2mpTtafGk1UZla+SfU6W7iWxDHAM03LO4QlCpCMIDRpirXDDEThHXS6g9hTDIRd2xhQCc1/jXI6vq9QkUhhT0/8dsaKvPYQSuIt5SbUo8TXk0g1LyqnTcYlCYC+EyEdx0TXCnU9bSijIvawsrVTe4jSBI4mwSXzr77MsCG1KuNyG2ilOkpgTR2NH5AvLU9+FZZl0EwXfZw8Pcyg5U0woMQzDMAzDeMjoGjaN90NkswEntzVyGyNChNM27WzWD6lQekaHJjEnhguEgy6HK7SiTEeBaMyl1IxJVXPilSwTrh+FpJv57h6H8yoeJbRlsLVNWZYcLKp+xywdb62VISsfGrmivV5pP9eeuq7YHzhGA4nOEatnaDxJYkhF+OwpK7g1hYNZSVUrF3fGzKbzTugG1GVJlgvD0YDBIJTCHQ0Lnr12xLRuPQHUK+J87walgCddak9a92oEkNNy1azbrtcZshSiQKe9UdiJ3RRDZTxC1rtG51rxwSHMp0e8+OwzlB4yn3PlwmUef/IxhoMB5XTGfDqjXpSgcDyZ8p8+8RJHZY0slA///C/yrs/8pbisaPWv6MGhUdRCiRViaJwfJAo1t0NSP2kb5OZT6FUc915DwlSS3pAngaZNAgtBKMnzHGJ+k2adB3WC5AVlNcP7mq3hkMv7u4wHBfNpSRBSXRNuo9Ebam1SXgTVuqP4KGVdM5vO2fE+eMTUNaohBW3yHgGQVOnKOera98ZAk0cmumQ1rwMlevLcPc1ed6BRnOZN0oT6JJchYhs776punqX2/SfgZOOp79YT6245jxwlIvLFwO8BfhXwNHADeD/wjar6M0vb/nrgzwGfARwB3wN8vareup9tfrWYUGIYhmEYhvEQ0pn4jUkM+zOo/T/S0x/3642jZVKYQS+lYdxfOzOqjd1DMiT6mzczr9r5vO5a0o7NrHY7QxuO7SnLBdN5TZ4XXHr0MQbjMT/5wz/E1u4ejzz9JqpFyS/++/dz7RPP8mu+4ispp9Ol6f3k4RFDaOLFqVdwwegm5bsIPdUmlewcYTUrxVJPKes/R5JRmCahy6pODWF7vMV2oUxmC9SFbQdOGBQ5ZA43yCiKjGJ7zIsfeTEa4a69Oo3iQxSdnMtWKrekkI2Vq3gVITZpv7YBHa+bZRcFWTfWZOmTNj/ahJclhSWKO8HSR7zi65KXnv04L984Yms85LHdXZ548gl2Ll0m3MGMTAQ/KJhPFgyzjFHhuDktKRwc3Dzk6OYNdi9eRlwIawnhKj54cHiPExc9MOL1el0rlGjHgG7Unu7FxfteVxUIZOmKU0WYWL0mCCB1222d+5fCWpLnUPtMAnlONQ1jyeUZ+/u77I9H3JqWePXkseRw9943n7uGfysLMhhvkWWg6phOZlR1SZZl1OUCdQXee6qqwmsrD6acHaEbkvdNum9LfXSqu1PnOdm4SQo/6i7S3uf11Wo2iRjBE6zNhbJpu6VzxDHrl8SnsxZKTu+cM+O/BC4Dfw34eeBR4E8CHxCR96rqjwGIyHuB7we+F/gzwBPAXwLeLSK/RpOr3QOMCSWGYRiGYRgPAW1ehI5FKsFoTHZ619jtGgTdP/h7uQ/u4g/trtkbRJmOcds55rpKOT0x4TbnTMlIhTjzTaiq4euadMa3Xt7id/+hr+Wf/IN/yA///e9s9h2ORnz1H/qDfPpnfkbsm/b8op7Z4SEntw7JcGxd2me0t0vt47U4h5MsJKSMNlwSodrG0YgvqsrHj8qOURWTPEZhKOUt0cY4TEEladY9uOy3k+nCrUnJmx7ZIT8+4WSyoKxL9vd2yGOFHydCMR4xreCVWyehOS55skQfHKXtQIi5L/zKvVnHuvGwqfrN6rJ4vdEHB5LJnRQG7e7cCHfpf55Qlcerb7yfVKOXgnOoSAwr0lBa1yvTo5u8+PyLzCsYljWPP3aV0fY2kmdoWTc30atS1SEPyf72Ns/fnFH7GvVw85VXGO3sURQDPOFcVV1TONeR6qT1dGmWLfXTcrgIdKrGtp4csmZbiIJI01UdcTF6ZSWvltrXrYdLs6/DDYfUE2FR1ag4RuMxezsjuHkE3uPFr68Ule5CN1Ql3avc4YYFqsp0NqNcLBgNx+TimWsrkiSpwCGNh0nK+eLi+EyvLtH+OFsrZnRFp+4Y6vR26oBGS+vuv/E9xMq1p++hIlYsL+xbAcYRg+k2eeqpglbRw6Z/PXebEPkh4b9S1Ze7C0Tkh4CPAX8C+Iq4+C8DPwv8ziSKiMgLwA8BXwn8w/vW4lfJQyGUvJFcfAzDMAzDMNaR3NbTjH3XiNfWiaC3/apxe+eG76oxF0SZJJJsmqndOGObJhBPtdVbA0kJZUlDvogQZiCdP10HwxGPPv4E7/qlv5Q3v+1TmJ5M+LF/+a/4h3/37/F7//D/k3e865148YCnunWLGz/7k8wODjk4mOLKmmy8xdOf+yvZfdNT0RaTftsaxSYtX9MfEEIfOl4Py1u0hmfY3tedHAwxv0EyNA/nFR+/Pufi3gWuXtmlqBYM65LdrTFFkVPOS+RizseeeZmT2aJ72NiUaNSn2fv4u7tNEwSyQShbNyO+bHSuVkLyHXt2JVvEyjlWzqmE0Iw1+/WMamKSVS94X3F0/RUm0wle4fL+DhcuXyQfDkOYiQteGbXXkMQ1z8kHQ65eLrhwa8LJfIICBzcPuPLEHAiJXjMXnrM8C6JZIyKk+ys0Y7nb4nXiSey8jsjYjhHnhCzLmucxea707olsED8JRj1RgBOXkY3GlIScIgi4zDEaDoL4FMNpdM04aEW9rndEaPei8hTbOyyOr6Mo8+MZo+0LFC5jXkeBQZOQFMWFpq1L74Dmu66+I9YKCqvvlySepfdE+y5cFUI2ecr1+rHTHtUkgWkbLiWr+3TPISIUgwFeoaxrFnUsF6ywt7PDydGtNdd17ziP0JtlkSQuuyUiHwKeAhCRJ4HPAb6u6zmiqv9CRD5JEFNMKLlHvGFcfAzDMAzDMDaiNHlOaezfVA2ntdNPM3CXDZjl2d2GrigT/4SS5MGirTHVNGy5qctizAaBZJNw0xrKRA8EHxJeorz8/Iv87b/21/lNv/0r+JVf+GsaA/MzfsXn8Ne/+c/x3X//7/Mn/tyfC+E1i4pXfvrf4w+uMZCcRy4MYDFnMpny8X/3Ad65v0++t9M2cFkUkX57Vi9gpckdI7T1rFDV4CHTCT8IHgPd2XOYzStKL1x97AnAw3xK5hc4B4vpnBs3j/mFj72I9+2xnHNROGtNxmamXQlz49oXSe6Edfdl3X1KOtOdHrPtk9hGFKE7DlPj47quMe5DQs26rihnUwaZ4BwMsgLvHNduHDCfLyicsDcsqH3NdDbn1uGEm7eOKIqc8aDgZAbew2K2oJxMcFkejh9zgST5ynVze3T7rifgbKbJDdSILFF7c1kIU9G2L7LoadQ8eR2DX6My2uTMSWPIgXhwoy0qsnj8ILpsDUdBjIseMT565zT+GJsaLiFh62JeUongS8/WKEfyDHFhvLnoQeFiPpJl1yvn2rGZBmIK6VvxaOvmLzmlH283bk8TNTYLJylkUJvvjQvMbc6lqkymCz7y7DUg49rBMSJQ5AX7F/Y4OT449RivmXMQStYhIleBdwP/IC56d/z9s2s2/5nO+geah0UoecO4+BiGYRiGYawlKiTSsbZWZqDTprc1hIMxtuxVsCywhNnVfu4RxKPq4qxrOh+NZd6bRF6aOT4t/KM/cx6Oldqg0bMjzOzDv/vRf0lVlrzns39Z48kgIgwGAz7t3e/h373vfdy8fp3LV68wO7iOzm5QFEoxyHBFxvzGHO+Vk8MjDl94kUt7b+80hGYmf12be4YrrbGVrOC26odH8Sv3wmvsI22vq3MwEMdTTzxBJhmqwsINoRiCLKCsqWMp1sZRpdPudOr21kgMzYkz5XdQr3TdPUtsDD+47VE3natpenTSSH0bKwcl35uk+mjM0aGOsqyoy5LRYEA+n1PhqGYLxggs5hwfz9h65BLicl659iIHR1N2t4YMipzFPEN8MOTLWpmcHDPY3kHFxeSpYZ16H0Qm194f9SmsxFM0IRqbeyC0Pzy7GUHUcc7hRHAScqJILPvjsqxZ1wpK4R5kMTQnVaxJ9WOcOPK8wA+Hof2EGlSemou7I5xAm/NXwbeJWjVVZmpHSyfMRxkMc8rJhN0sZ29vm/HWNojgEfKiaO6Zj2V/vW+f/xSCk3K9hH71jWiRktSGa7ntSOl7w6wRd9O7bN0YXf8+TNuHK2836XjVnEI6z8lkzseef4ULO9t88qUbeI3POC++6ufiThCIAuKr2xe4ICK3TttOVfdve6zQEd9OiFL6K3Hx5fj7xppdbgCfdUcNPWceCqHkjeTiYxiGYRiGsZY00Sx9I+FeJgxsjpdm+dfkPmm39R2DnGamu+ct0TnupjavGDEd3aGbL0EVcMGQOzwIM7U+2dM0JnUsw9r5vZgwGHgyFfAz/AJwIBl4UeqqW9ki6Rb9Nq1+pz+bG5vZMW1XTK0kVqivG0+QJjSG1gB+/JErXNjbg1gNpa5L0IxFLWTZkIGDd37K4/zUf3qGRRnKMqcEsf2wh9A3krmlhnBfaD2Y1gl5wMryVW8AkXRtHpFkcAcDt64UX9YUWUHmKoZFzuJkglaeqqy5fu06uxd2GQ0Kjo+nnMzm7O9uc3gy49bREUF3UCoP08mM3WjIZ3lMeuo9mrnGfSvdt+5dXnvd3TXNvQ3JWwXI8oLMuZg8tq1EFQSKIJL0xLPYJy7LWsNbQKJY6cQh3jMYjpBiQOU91bxEcFze3WJvNOBWCtNKfjvNM9gfp403SzSlyumMuvCML4zZ3d8lH4/xKmTFgEE2bMS+8JgGsUSbZe2bQb0P1X3i/QOlrqvOfkt9tiZksEt6RjcJJmvvy5KqmESSVhhM74HWSy6ESkmswN5vVxJtB0UeRDcP+zvbTGYzyspT+vrsH7UHI1biW4AvA36/qv780rrNj8lDwEMhlKzj9eriYxiGYRiGsZ5WMFgJael4ra/NaXCKmLKpqsOKt0rPGz0YOz66kiTX/hVDovkeGrlOIFlZ1mgHHSOscxQR4ZHHH+fDP/+f+Mkf+zG+8Df8hmb/6WTCB//jTzPe2uLS1auAJxttUYsjyxVq8AuPF4XcIRmML+x1Lyx4M0hKzLiuvzoeG92Gxe/BS6STa6XrLZJmq6UjkkTPoOCyn/Ho1cvhOD7kaBkVAyQLxvuirJh5z+5uxhOPXOHjz72AxnSTrSjhGjs75L3oNq/jwoHSzi32PYl67Zbu2GJ1O5ZWdtjk7dQ1z9f1cdrPq4YEofgmKWjtQ79puWAxL8mckImwuzUkcxkv3Trk5RuHDCT0jHrPzjBnNi95/uWbbI8HXN3bprxRUfmaRV1xcHDEpfkcGTnEC3XtQ6llEURS8t3QGW0/r15HE9q0dD2uk4w3c44sy0J4iwRxBAgeJs71OjwkcKYJ32kM99QGkTYMLy8Y7uwxn9yiLOcMt8fs7G7zjiev8oGPPEe6mel44fidexrDs7pqzDgTtgcFF/d22drbJcszytpTjMZkZI3o0RdLVgWwWhV8KiXsQ/+Kw/uauq5Xx4Bqz6srtYclz5LueOmG8G0MJ2y+p3b3jyOda08LJB0/7dV9vyJsb4+4ur9N5Wsu7Q25dGFMMRwxK0tOjierjX1wOLgTj5HTEJE/D3wd8EdV9Ts6q67H35dXdoJLrPc0eeB4KIWSe+niczuXI+DCq2iiYRiGYRjGPWVVWNCeUbMsRvTzG6yf3V+3rAkHgTZUQ2KAgabPPnqexJ/UpibZazJqUliCrDF82vOtiDXSNbg0znBr42zyq7/oi/ipH38/P/g938uLn/wkb3nb25ienPD+//vfcHRwwG/9L76KLHOoeoZ7V6izXaYnt4JLvBcWC5gsPKO9XbYu78eQBA/OBYGBVixZbe/Sd7pKThBJQsle3+v/tLrZPK3zGv6iVWHvwi5bu9vM6hLqOhjS4gipLASKjHLuqbzw2OOPcjJbcO36zUZYkq7AI6GCjKL0Im46Bn20AkkDaX2YTQw/iTs3otjS/boda71y2gbFUrxdY5dQ3abpsGBkEz0XZke3WCzmiPNMZgucOIrBiEcuX2R/d5vR1pjt/QscX7/JoCh46xM7KJC7DMkdNycT5pMKXyrHJzNOjidcGI5QH0JJfJ2qxPjgfqQgTdlqH8ZkTwQ7HeccRVE0gkhTjhhpPEtS2eHwE59B51qRBFl9VtItyIW9y5e5eXiDo5sHjEYjiu0dfumnvZlnXrrJS0eT1NurwtdKkEjIS3RhOGRvXLB7cY/hcISvPVU+RLIBTtswm3CP+qF8XQ+TLHrChfLHikgdNUIXnSLSk90dH6uCy52EGTYilq5u0xdJ1iUl7h0o5PxphL2eitS0ejgccmVvTFWHkCZF2N7Z5pHHHmU4GKwe9x7yakNv7sm5Rb4Z+NPAn1TVb1ta/XPx97sJKTC6vAf4t2fcvHvCQymU8Dp28TEMwzAMw1jHqbk9mvnOzaLIaSEv6z1POtkX1K01htvNkyHh4rJOOAvxu6YZ8fV/kq01Vrw24oJoU2CYi5cv8oe//k/wI9//z/nIf/oFfvoDP0ExGPD4U0/xm377V/Duz/rMYFB7z9HxCS/NC25eqxhnQgGUC+WkhkuP73Pt1iEXEIajAcFkdHgfjOJepZOmnWt7KDqMROGIlOdi6R4QQ0l86zEhSKzoI1y+fBGyjIWf4/IYJiEe9UouDnHCYHvM5HgCWRBWrt+4iVcacSremeTigCNWJokiV/dP4mamvHP/l8dPz4iWzn4dwa4blbBRfFuiDXtoRTRt+rc7a9/2UWPw+orp0QGC52S2YFrVzKqK0f4F8sGI0XxONh5S1cETJc8zfLlge7wNzlFsDRkOBmSTKQCzSrl14wa7Fy/gXAbq8V7AKyrh3kgmNM5GSlgX3ChWQkV61xkFxizLyLIsil/dHxdCcWICVnF9MURcmzck3YveUypx1DrH9qVLXH8m4/h4yujgiP3BkP29HT7rXW/lh3/ig5TqAbfmfrTjRmMVp1xgb5Cxvztm58IeuJDrxI92kKZobjtGNN5U0e79d0hKYEwaW0E0yqKXlPOdsuFruvFOQmlWP4dxFcaYbw6/HKuyKXQx7JPRVRjX5S0RIM8ceZ7F8s7hZVHNTnjh4x+lyM/Q1F7Vlu5u39eAiHwj8A3AN6jqt6wcXvU5EfkJ4KtF5Fu1zR36xcCTwHe/thbcHx46oeReu/jczuUoepyYV4lhGIZhGOfO5pCaYIiw4Q//xPIs6qlx/pLMn6Uwi75S0Jw9Wo9po06b2211yYNBOob3cjt74Q3N6lYMuHz1Kl/5+76mDSXoeCioehazBT//cz/Lhz70MQ6OTqjrmizGGsSW8pEPPcNPfew5Lu7v8853fSpvf8fbGsFk9YxLl66t4NFcXycco3U2iO1XbTxlGkFAW2+P4bBg98Iuk3pOqTWDfBC8G+qa6MNDkeeorxiMhsynM7a3xgwHBbN52bS0vcfhwFkqcUsKH+jOjrffWL42kujRLhdpq5asvcdL93KTkdvvy9A/6pUajYlEQ/lb8RKdOdLgCUZsPZ+ymExRoKpCnpHDgyPqqiIbDVBf4hdzjg6PmZ2ccHIyY+hAx7vkRUEN+LokecvU3rOYTqlmc9xWjmrMU9LppySIKOufndMQAZdlIRGsC6KGi54iIXlr1ggkKdwmhdgATd6SddWshNbrZHvvAntXH+PWc89wdOuA4WjITjHkHW9+nJ/72HN84pWDtb4R7fjW5pjjPGNvAHsX9hgMt6i9px7votkAp3UQknqeSOvEsOQFo02iV+/727k4xtrH5DaeHp3lm/u/DQdKQt7SAVY0mXbMr/YLUQRdJ5bkeYHEMRTuaXt/yqre0L57xDl4lIjI1wHfBPwz4IdF5HM7q+eq+lPx89cTvEn+gYh8O2012h8H/vf71+JXz0MllLwRXHwMwzAMwzA2kYyI3ox/qzbQGC4srbuLY/eWxWOJJs+Cdta3a1R1TK2Nx+p5kmgy0vvtXOeBsWzEJRePXrWRjmCj6ikXJT/5gX/PMx9/ljLmQ3CZo/IeBLJMyFBEgvfAzRs3+bf/9v0887Fn+bzP/1wuXtrvNnNNGyIuGPhpArrpMS89S7QrNfklo9LFvrp8cY+drTGlV0b5gFxyiAlnEU/tK8rao75mVAwZbe+yMxpx4/otnn/+pWY2OyTZDWPB9dqgtD45bac1Rq64fp+uQ4mhV10hZXWf5RCe0wWF6FHSCDmp1DEgPnYyrQXrPVU5Y1FVqHoqH/Sq60fHLCbHjPYukA9HaF2zvROEle3FAtQz9yVOCmbzBd5XrVeLCFqVlCeHFONxGEe+k3C3ufzwLPg6JCZNyYtD09ZfozT3JT0vSTzIcC4L9yoa17IkhnS/O+dWjruybZHx6DvezvWXX+Lg+ITi+nXywZCtvV3e/faneP76YVMBZ/m+yNKx94eOiztj9i5dARHqrIDBKIal9d2smuuPelbrZdUfY9o5t3MSxZZurpw75/ZeS7rhM9HzpblxS2ulGRcpwaume7YiRtLLM9OKZ3f+3n0t3EHE21nwpfH3b44/XT4OvAVAVX9ERH4z8GeB7wOOgO8l2PFnrCDdGx4aoeSN4uJjGIZhGIZxJ/TFhWQwRcOtE87Q3W61cs16j5JuCEaLX+8av3EmuX/M/nLfrFsxpJXGO6bxxkjLfVuJp3GDkFRtJxhj3td87EMf5uPPPMuiDokjXeYQD5kIWS7kWcgRUWQZtQ9VUnIH5fEh//797+e9X/xF5INhe5qlvmr6NPy1udopS9fdeMWIMh7m7G2P0X3Ae7wqmQiXL24jVcXIxbAGX4bZ6cxRVyWZ1oyLHJEc1YrMgXfCxb0tjg6GbTta+4/trSGONHuuzc+qINJ6iAT7seMGJO02GjdYFrbuxAtgqXN6X5OjkVcfSuZ21jRaSbr/MV/HbFGTOUeeOZzA9cMZ88mE0dYuHs98MuPlj36CcjJlvpiTbw0Z72XUvmY6mcS8IGHfHEGkpi7noBVQNNeeuaxpjevk4dA28qRzXWsvNlyHCpI5nEsCCW141xJdkcS5GPbWuS/rBNDGlB8MOJQBw3JKcfOIoriGy4S3PnqZJy7t8dz1w/D0af/J7Zr3A1Ee3y64cvUy2ajAO8WPd9AsRzykildrvTWWrqPrbRJylsS+dBnOhbw67TFCGatlgeq0Y6/PW9IZv73lXXGXNNi7R13qif6a5SOKCCpCkTlKl8V2e6qYb8fdhVD9sKCq772LbX8A+IGza83Z8lAIJW8kFx/DMAzDMIzbsU70EJZEE908m59yBdzWuO15qQTxQtqzrYgxq6wxL7TvDaKNLd4PJ1CROD3dFRz6h2rElCakRpkeH/Hhj3yEeVVR+yhw1K2BVOQ5RCNmMCgA2LmQ87bHryB1zX/82PNcf+UVHnviydTcaEtJ5+Taac9S33XzGvTiVkDEcfXqFS7uX4B9BV+jMVwpGIyLkO9BW4MRD5kGkUrqKvad4utw/qce3eaJRz41dmRIDioiZFnBaLzF9tZWP3iq533Tv57ebZC2v10yZqO3QOsZ0L0V68fQneQrUYIR7TUk0OyHhyVBKiRP9RpyzyyqirKu2S4c+1sFB5OS45MpWzsTvK85vH6d0ThHZwJ5jo+iWe09x0fHJFNcEEaDHLRiPpuxFz0clKzfvtRrqm34yCZbvtev4bOLOUpiXE07/tGeONT1FKFx3Oh7l3S37f5OItnVR3f4yH96hSIryG/eIstz9q5c4rM/7U28+GM/x6Kuo5OONDJaInfwricu885PeYqLTzyOFBmlTPBUxGFISjDsfcrFs3T9nXdLUGVCYpeQbDiNbcU5IXN5+5a4A2eM24bdqCZdqe3DftP6izrvj9SJKwKMpsTUvccbgZADJ8vIXU7tfejXdDvP2uXjHEJv3kg8FEIJbyAXH8MwDMMwjHWcLkikP/bj5/jX+qZZ2SCg+LXGhizNsLazr+F7a2DR/KHetG3F0EnLWm+FdJzU3uUEoq24k8oOa3Mo3KqnTDqwV0XrmueeeZabtw6p6s5+GhOnxlwP5aIMCRhR3vz4I7zliatkoiwmUy5tj3n5+Rd55NHH42x+1x7piiUQM1+Gc0eDMfxorx+CQeXIs5w8K4InxM6wEUlSxzRCUOrH1L+05UnbXAnxX581azOX42JSySIfMhwNyQdFExrQNN33Ra6+p0y/7b3cDCodA/TOjLTTPUzixcZ+C1VGaiBrxZI0BjUIGN6XzI6PqOuaslRK57m0M2RrVPDs86+wf2EH53K29raZLxYMRwVZWYIPYkXtlZvHUwZFK1TUZQUOppMp5XxGXgyj10e43iAIhDvp6yiW6PrKKmsvMfatNIJHu7qf2LW9Fy7di5SAtTPu0rF655AkCpY8djmDt1/kpeeOKEpPfuuAbFDw1JULfOpTV/jgx18KqViX2pxn8JlPPcLnfManMdzfJxtvAQv89BA0eVi1z3wrzHba1vtGyDnj20SuqkvbuzSm+mO9+zJZ63nW7eI1HkrhLEuVv1ga2vG4fXGOKFS24lVPTux4oaR7cDIvuXkyDaWrJZVgdrcVfV4rcvcRS8Zd8FAIJW8kFx/DMAzDMIx1SMrVEL91jYuuG3ojYjSJVde76m9ixWhu/tpPf5V3je7W9GiM/GbJnZ1zk8eBqvaMsnBmwSXlQoRls2k6nfD8J1+g8h4PZC5oK6hDYrJF7z2LqubRi7u88+1Pc+XSBZyHuq5xWc6lnS1u3TrAa4WQt9e77B3T2vgrM/si/cSPKhJFnhDugYNiMKQNf2iP2bumdR4fncWqcHIyRSsYjgcUg2EUgBxZnpPlRayo0uzZET2iQNFt55JglfZoz+86BnrKz3H6fd6cf2bV6NXoLRL1rNBXmiqmhPFcHh+T+Sp6mSjzhTKZHnP5wpjpfMKzn/gEb3rqScZ7F9gpBmhZcuOla0wmExB49oWXWZQzBkWOr8OTNMwVJ8piPuPkxk1GW7vtE6ZJKAnPg0+hN9rtl9Oun5VHIegLyaBe338dfbHZSZPtrcRcIOkEyctFqRczMkqefnybS7sDDl6aMJ0suHntOs7l/IpP/xSev3bIrcmsI7dBkTk++y2P8p6nr1KoJ3eCKxyzo1egLlFXhetJF+PcklbWVriRWFlHVwZ0973S6Z87YF2I4KbQG0gjXVcE2XAN3bb092qX9YXYdMzU/xJVUeccxXjMlvY2jb/vTEx81ZhHyZnyUAglhmEYhmEYb3S6yUxbDUN6xm4rcoTt1uUH6c8Ed7bp+r2n2elmq+VjdKcyu27/fcMjzSL3/NV767riQ/Tr726rnRnq5Ogg7f5LB+TmjWucTCZ473EIuctQ9WSZw0vwKMDXvPXxq/ySdzzNzu42eZbh8VDXiBN2tkd84pPXmU8nbO1caLpGuiFAHZGkbcuqR0wzry0hXEXSvcOFah/SVhZqQ1to9anmlB3vBWnvh3plNBpTVTUuC2FEvg5CQ71YUHtPno832Gvtfet+7d6f1W11JXbhjnKS3BEaBQmHcx7VNjdHwvsKR4UXQvWfLMPXSu3h1tGUnXHFhz4x4fqNY5564nGeePpJ6qoM+6rw3Cdf4qXr13nq6pjjWag4lIswypTMhXszPz5AyxIdhfaEJKrSiFrqfRNy0gpdpyCdLpNloUA6m3Xkxe59J469JKyQBLdmk+4DSlkeo+Wc2injoTB4cpsbL2ZMDmfw0stcfvQqn/fut/IjP/0R5mVFUeR473nbpR1+ydOPxCpJIPkA9RWL2QFQ4dwJ6krI8pDAFIHMoR0RKXmLhNClU+50V/DV0KeNO5aky1+f/2Q59CZ5x/UdoVoRq/t+a57ItZ5UAe+1vUcdMbiX2afjVZLOIS6UgfYEYa2qPWVZndILxoOOCSWGYRiGYRgPAf28HsEqkG5ZFoFNs/fNMeIMaMvqVHfXQyKdt52RDUuSz3cTbtMYSp02dGbkWTpmtz2rzeh4WUjHDhQIXjJZtKc6FUdE8L7i5ksvU1ZVMG2ifSsajEqXCU6Uve0t3vL4FWazBWUNO3vbjLIQZpEVBVs7O/j6JV65dp2nd/aQnhHYbeX6a2kNs/5GQSRx0SVfme9Ne+JXc82bLMy2I3sz3KoOB3gNHgK4NgmoSsZxMW+Eta5nSbfbu5Pf6yomtZ5K0Sg+5Z6+GjSeI+UoUQSPNr48Ll1yXSNZxmJeoV4pckeNknlH7WG+qNnZGvL8zWMODj+GLmZkRc58uuCl67e4dTLlbW99ksXkkOPZCbkDzUKfF5kjzx2+rlgsFmRlGXKKNH3d2vIdU/6Ui+oKm60o1YiHweepCQlJN6g9fiPDpaPgPcEgRwgeHGl99FhSTzWfUJYVTiDLQlWdS4+NuVbD4cEx3n+Sxx57nP/ssz+Nn/nIs3z253461186hGs3eOG5F9nZ3uLqYIgXoZweUNUlTsAvJriijl5WrYiRQlXa8KT2ndGuX3oYend+XT8ue4rcfpxJUilEWoFNW4Gpv+364y2HP2ly3UnXK61W2LRf4PhwwtG8ZDgsyASqyjObz5kvzlgouVcapbEWE0oMwzAMwzAeCjp/oSdRZMkd/bSqGMvLV0MhJFrSawLfl4SM/jE6BiHdJqWZ5r54s7ZtjdgSv2gynrS3jQLNXHXjjRGYTSYc3jpEvZKJC2KBQo1S+5raezIR9re3GA0LsiLj8OYRN6/f4MnHrjAaDVmUFS/euAUiHNy8xVNvab1zWlzjUaOdf1cuqbGsgrkvzkHmgleLLjmMrD9At3PipyCWdf0RfM9rKHkcgOCa7l8aKp29uyJI682wxgGoJwTdSYWbuxFRmvOqB5WQ+kWUWJe6Eakkyylnc46OT4L4JTX5YIBzwnS+oIrJe7PMUfkSQdgdb5GpspUrW4/vc+nSPr9w7WUUxSFsj4bU1QIgJOP0UM2m6IW93rVoq5IgEj0PkDtI1dLIID3RMa1qhMto0Ke8OGF19BwRRyqzE4SVVOmp28fhvtTzKWW5QFUZDgaAoyhg7/KAaxPHweERTuCxJ9/Exfe8g8nJnE9/x1v4wPPXGIyH7A6H5Dt7OJczPT4K3h4OqsWCYryArMArsQJV1jwfIVFr7B8FxbdJbzcQ8iQ1tbXDcO2Nv+67prvf0juoEXBp+qjp/TUhO+vb0l3nOqJYFCRJIlH3GRDyPOdNT+zz0U9e52g2Y2/vIo8//ggnk2Oee+75U6//tSKnXI/x2jGhxDAMwzAM42GiiYLo/5F8mmG6aiD0RQj10fjrGOd9r5L4b/JKiGVSSYZ524jOHn0jrtf4O2xjU/Vk5VqXPqgymRwzn887M/ah3KxXhToYwThhf2eL2fGUo7Lm+Zev88jOFvW8RAcFL3/yZY6mC+raU83n0ZBzLCMiYQa9P70Mp+RMAMh9DuWwZ1ynnur+7rMa5tT6GPRXNbk9tFVIXNVXSjKf/vxfMijp9LOsD9tqL3N92enTRJTbejvFf0JVGR+Mfq0RF0r4glKXC+aTGcdHx3j1VJWwO8rY2hrib3mqumRW1giOzNVU5QLU4/CMRxl7j17l2Wef42RRM8gcJ7Oane0Bk3qBEsaIrz2z42N2Ll+C0Vbr16HdUJDQP1XtVwW99VfW9k/ct/Ge0X7VmxQaF0QVjV5IdRhvSwPEueChlGXBy6euFpTlCWW1oKpSguUM1Ryta7YvbnFrOmc2mTA9PGC4vcOFwZByekJxcYcpBbKzR7a1hStyjo+OGQ6g0iqEMI2m1H6Acy4IOvE+JS+YdO9SvpTW00ybbcK7pe2zII61Itw6ka7/PlGaMuidY3b7b+0RbiOSpPGZhCuNYlDX6U06AmcSiUWEndGQtz+xz7z0nMxKdHbIm558krc8/aaN57wnmFBypphQYhiGYRiG8RCwUunlLtaveppoOxMb/+BX7VfjWOcB0q88IY2XxzojuE0Kqig+zDivET3umOhF47ouEum3wvwk5Cbp9kBdh6Su+CACbRUF+9sjsiLDT2dc2d/hwnDA4mRCRk3hhLoqWZQlZRnCO3DrBYCmT1fEn3WeM8G8ynxOptmSXd03AsO/Xb+Rfn+1gRra5qtI23Xuc1NlJRp+pzl49PI9LDdp3TWvud93I9ytnD/u34oHIc9KMMaFOtRooZpOOLx1EPpGQHEsFiVXdrbIL13guZdeoayVslyws10gAovZlHoxYbg15tatY64fTnACRSZMa6h9SfKj8rWjrJVbB8dcmpzgdvdaTxJtGopq8CgJl7x6/5d6YnWtSq8PVVJJW0nWf8gD4oLgJQgud/E7rYEs0hFZQvjLbFZTLnxITiw5aCglXWnB7uNPcnyropodUk6n1KVyMnmZK29+gp3xkPk8eO0cXn+FS+Mxs0lJXdXMpzNcLowGx4x3dnBO8D7kdemPE0geM0kYSSE5SURph0lbKSt1cQgr2iQ7tc9DL1/Tmh5/rbRiayv0pAejFUnSNdWUi5LFrKbIHJd3RkDN9KWPMp2W97RdK1jVmzPFhBLDMAzDMIyHgE1iRFrWq7iSwilWlif3/WCshxnTjkGurTDQPVY8GxtNmFPb1EmOmGaCWfXSWHPF/fOphBCEtKaXq8NTLhbBeI1Hr70nTGy3YQrDwlGgDAcF4+GA/a0d6kWJ+JpqOmdrkPOWx68yLyum8ym+rnAugxhq0b2+piFtJ8RlqU/7VYqaPg4Hid80en/0t1v25en3ina2SXlrpN1LUhul5+HTzui7DaE4nfuYcs/I6vp1ZVrXiXTL4kpfVOlsF6Uf1ToKXYKIUtdtU1ysfjM5Og7eJL4GHIuqpvY12/M5l/d3efGVjHlZA4pXz9FkhtYlWi/Idi7wwgs3OZl7Lm2Bc0qpcONwxvbQ4StPrVApzCczrr90jeHeBQbjnWgja0xcGpJ1+tq3z1Pv/vY9HMLQD0JIEq+cy6L8EYSOvkdJiiAJbl4hhIUgePmuRhiETe9C4mIQyqrmxkHNbBoGQu48lS4Yj7d45KknOJp53M4W85MDyvmUve0dnnn+iOPZM+h4hGYD8u0xo/GI2fExs7LixtGEW0dTMjIelRnbF1wUOIIwoz54V2mt8b7QrwykCq4TlrM09pxzsRRyiyyPvTUiXBhPnbwot/EYOW1ZNwFzE1a35C2WxkDaflkI9bWyqGuyGrJccSJsjwcb22Q8+JhQYhiGYRiG8RBwmhjR/cN9Oano6kx/yHKqeDTO1LdmtzZeH8k47Rr1QBM6cKceA8HekHV299rr6bU3JauNLUgH0U67IFR6qasqGmgecQ4hGG/dIzgEvJKFbBAMBxmMhtx68WUcnsFwgJOMvfGYG9MZVV1SFEPao7QJZCU1qRFGkjdGSrbZnnf/6Erjqt/vm2Rit9LRakWOZJ+F/ZsKOj3vDgldteRRAimUoHvurgyzPmymNUw73kTxdqy793eSE2eZNEuftvBeY94Pj3MSBSePoNTVgnpeMrl5A68VVa1kLmNR1cxq4dqtCZcu7DIYFExPKrYKoVbl+skhZTVkazRiPBhwNJ1Tq5A5IcsE9TULLwxrxbuYXtVllJXnxWs3GY0/yZU3vQnJc1ChrrW5H7Wvg8dR95qaAdrpA03PHNEIDwlj1Yd7lDmHc60HUDpSEkK6YpcTaUJtBELFn7JiXpZUdRU8afYvMq89B0cn1L7meFLxqe+4xHyhLOZzhhcuogcHHJ8cM9o65m3veAvPfeJFyqMjHn/LW9keDTm+fh3JM557+ZDZfA4ibI8cDkXrGpV+yWknArngNFTMcTGcpnXEaG90Cs3xUfRxTpsu0yaeplGDWnEijcF0vO44WhpXy2Lx2rG3btsogPVJ36MwI12RN4heIQQqPP+V1tRVHGOSrZz73qGvIUfJvfXAeb1iQolhGIZhGMYbjFU7uP+HczvD3TGUo9Gi/cW99araM8dbg4S+Eb503uW/98Op1pxEo6GShIBo3FTlgnIxDyER6puZ/yTOhHalZWFpXgyQouDw8BBxGYPtHYiJKyfzOfNFia/q4JjRtjQcQVvjFfqzy5tsl3VeHCtCwooA0u2nthWNx0j41lFu+sddn1uk14KN4TMryYKbUIRVNiXqvd1Mfrq0xg/DaxRIYpJUD2SKaMX84BWqaoETh9e6MRIr7zmYlBxP5uRZRi6OIg8G+LyqOaFke3eX51+8wbT0USJ0FMMBSIkiTBY1W8M45p0gDsqq5PkXXsR7z6XHH8UNt9AoBCwLJG1vLn1SSKFRXj1BavDBDyiF32i8XuLQjpJZEE8cKaGrV6X2oVNcHY4fPFtqqqqiLEvm5RyvIJKFsr/zmiuX99jb22WxKHHOsXthF7mwz+yTR7z84jVcccAjly8xmeRcvnKJ4WDAidYcnSw4PFmE6jkSS2vnbTLTJuSrKwp1RId2LMScLD48g86FcaxRQBLp5jTpC3HNuOr2bWdZ9y6cWlVrw7JlrztF23ur8V0RL1I1lACm845L15fnWdRPJCYErlHvqLVeOf895VULJcadYEKJYRiGYRjGQ8q6KjbLf/xvYsV7o7uO00IpQHT1HL0QHmiCQjaeP87QtgJKX2xQ6uDJoem77xlOiVp9SF5ZVk1egdp7PILH41yO1OE4ZempVVksFpBlCJ7BaEj+SEGGZ3LrmMFoyCsHx+TjEckJRDvJJ+m1oGvQRWNXVsUHERd/+5U+b0SNjsvN+m3SBq3Z2OQUWTrWJu4mb0h7vmbv/to14sid5ilZl1PCSQiRwntUYrJc58jFU80mTI4OmC/mOAeDPGe+8GQSer1S5dbxlLoOhm3tYw6NTCgJ9UpuHJ5Qe2WYBcFhPBwwcCfkTsEL81LZ2RpQK2QOamBezvnEc5+krCseffppyMekXBsr19FREKX71YXxk3SmEHZD8HqK7RcnwStDwBEFhLRszS3xyfMrblsUKcGqsBjMcfkJoZJMzaX9S/gqtHNra0zmHHtPPM781g2q2ZRXbpzwzI0Z+49f5ZHtHRiMGVx6jOPnX+Qtb/sUjm5d5/jwCABfeebzOXkePdFE2sSuAD5euYSaQmEMpHHRVu1Jw0Q1JcNNPZbeHbfPOnInoTbrvE02fU/vQ8kcWlcgfkWHCB5gS+M9Jnt2WRDQCpcRPILu9nl7FZhQcqaYUGIYhmEYhvEQEBJcxrCZU4SQ06o+tLukkJvguSExfGQlvwnRAcT1z+VZ9kzonojOhPoaw6LXRkeTD4OOsSLCujwmyy7zoTGe+XRCHStwZJJm28PssMsUl4XZ3VlZMSsrhkNPXZUUgxFSKdMbBywmc9TXzHEcTmdc3d7CZRk+hku0xlxsV8xlICseJa1g5NUHAaC5PmkM5pVr60Qb0Dse0XuiFWeaGfB0sFO8SVYFje746ApASwJMFHZ6B9fWG2BZ1Nk0o782tKeLEKvaCHXtcXmG+DC+siLM1s+mE8CTOaKHQxbCN0qlcMFYnc3n1B5qFea1MsjAeUeNcjSZUdU1uYNhnuGc4rRiZ+So69D2kxIGpbK3PWCRKbeOSwZZjteal194iQsXLzK+uLXk5RDHhC73Yz/kSySIHt1nISVrDTlLXEc4Cdeo6bC9o5JUQxSlrmq8r6i1DpWaFiVlWYJXau+pvTIaDVCtyTOhKKI3Tp4xfOJxJp98nh2vzAY7PP1p7wJXUHkgz3nyiSe4/sorVMMhi2KGeijL4L2SHvI8z/oDN4stXfsKSuM2CSb03yG9Yak0eWvTT9eTZI1XyGnCCUv7bGI198i646w0lsxlOAQVbbxI7uR8r4mkPb3afY3bYkKJYRiGYRjGQ0HfOIDTZ/A3Gaah5G03dn7Z+0F6q1YmtTvhNOvaFL/RJLVY2m/dZXUFkLYNXS+K5qjpZO0+XllMTmJCy7jaheScwaAXBrnDa8a8rjmeztnZHuF8TVVWHN86Yn50zGJRUyEcvHKDeVUzHg9imMCqm3/TVtpyr9oJYwnXEMWk1BWaRJVVj4rGC2WdjdlRVpZLMS+LKsvt2xQS1EZB+c6y5XuV7kW3IY3i015Yb5/VY61cY7ND6sNWFFAPWiu187jMkeHJPehizng8xtceR01Zwfa4oKrnOIQBBJGrDMfPJGM4cCE5rBNmiwWDHKrak7kM9XDrYMbeuOB4WiIKVQk3JyXDgbA1LJjmOb6uyTMoMpgeHzPev4TWEBKZJs+SlQdk7b2oVclQ1NcxfEjJYqJh730Qw0RwEsPHml7v3pfgkVTXVQi3qSqqxYzFoqT2HufCNpX31HXo27quUVWKIqMqq1ixpmROxnTvCn6r5m1vexvj7TFV5amqOcPhgK1xznDg2N0ehVY4YWfvAlmexeciiD/J62U1H0jnOZbgMaXRzab3/lrx2kjjM46xuKArQy337d2wmgOo897oiIl17VtPmc55utmWRMK7phgUZC7mZ8kE9TEsSl+tkmE8CJhQYhiGYRiG8ZCw7PWxbj2sGqp9IzYta9aybH50841InL1eOZ+kPWWjC/hpc7ObDOsVEainv3SmmePHuqooF3NcJo1Y4pzDaxWMKw+ucAyLnMm85OBkxiNXL1KhVOWC4c4YMqE8PMFXyic+8SIiMCyyaMhpR+9xzcm17YCVtqdEnN08De3n9eLEbd30ta2corQa1LrEqsueO32vjuZwSx5EoWNTqES7XTIQkyggnXPIyk1enxdl/bU1IoCEqiFV5cnVkRUO8AyKnHoxpaxL5gvPaJhTL2pqlN2tISfTOZVClgleldIrhYNhAYPhkNl0Sl17oGzuSRrXh9OarSGMi1ASWGOVpMNpzagoKHLHoqwp8iwkMZ3P0LrCe6H2itZEQziLV9JVuWTlGtV7vCNUOcqS51Cnn1Dwipf43DUCmTZeSy6GdeR5xnA4BMD73SZPSe09x0fHqBxSeZjNK44nU7ZGMYyMBYIyny84mVVkwxFPPHWF4TgcazKdoAou3wERsqxgNBrz+GOPU1UlKNRVjUYBQb0nyzR4xNQhjCZJPKGaT0YKYQmJoqN46eNz1am6tRoW09EAte+hs8ymPDvrtlsfGrciv2z0mOvvm0KH4iswg1wycILXdYlh7y2vPpmrcSeYUGIYhmEYhvFQkQzWNta//0e9LP1OdD1B1gsp6zxVNC7XGA4hSK8YjaqP9nPrfQFBYNnEaedrziopsWL4EVz/OuM+VV3iY1hSU0GkChkSPDGHSVmF8CGBWycTyrKCbIBTEAd7Fy+QDwd8+JkXuDWZkTtB1FOXC/xwiFOgqWDRzjonQqgQnTQVaTY8CglNZtI1niFLLBtyXVFCpeekc+q+vVn5zvowblK/d7sylUVdsuB744ZOzgnanWP4VCuybBbq2kPGvtAgOymO2gPRCwRXk+dCXTmqqgYWoSKNekSUQeEYjzJ0XlNkMCtDuEaRK9vDnGFeMGGCE2V7BPO5UlUSRb8w+z9dVFzYKlhMQzhIkYN4T+1LkjOBoDhRhoXDL6bUDPC4ULUl3Qxd9hFK3kbp9rsQcKLEij5t/4TEyRo1p+ijJO0DJrF8bvJGSp4+UddCNeoO0TNlPpujdU2eZ7g854UXb/Apb36asvSolkE4EmX/wh47W1tkeU65KDk6PmGxKLl69RIQPCJQ5dq1l7j28it479m/dIUsyxEXPXMUvK/S26i9JudQ5/BSI9HTAtVQlcr7uF9yI4rLWGVdTqJNosid5Cy50/UpRC6989aN6bDcgbbvnbqqKWMojjghL87Y1Dah5EwxocQwDMMwDOOhIRm+KcZ/XYhD2K5rbNEYWdKEk/SOum5WVZszxbCR9vTtkft/qPdzm6z3bulu1+QjWRFMhCbRa88ITWfW+H9PXVcAFEVGljuKPGdR1mGW29eo95ThcAjC8WzBwa0jRltjiqJgOCxQ4OBwyiev3SQTYZAF42cxnTLa2kGzJZd7Yo6JJYeK6G+x0o/totsbNpsSTq716jll3+UwiNVGpXvTHjOFDIFsHF+9saLauSVRGpDT7313XHVJhmnlK7zWjAZZcz6XBV+hqqqD51CW4yRjkGUMtgTFUXrPUD27Q2E0KDg+OSZDefrJR9jayrlx7RV8veglQtVYKrisPIVTBplQ5AK4EHLjYJQpFy9eYO/iPqUI9SIkm601VKLpX4Q0xqtE2QMIITGxHG471lN3aHPtzX3qCSPLtNVy6ig6BE8TmE3nLBYL6qomzxz7e9tsbe2wu7vDoMhYlCWhkk58TyhMJ1NevHad+XzB5YsXmM8XDIoBZDknJ0cgjuFwyGQyieNdwcOimqN1hYiQZVlTJjfLXCN+4FwURrT9AfBt6eC69gRNJnqXSO+BWR0jnXHY/X2nrBft2lM241v7q9v929usScTNXOwDaUKygjfJGQsZJpScKSaUGIZhGIZhPARsiq1fzUWRtvOd7STMkm6ws9cdq/VLkY79Fs+fbJloMazmHOgb7Juq8ywvO+XiQ3t6cUNKVZaoBycZeZFTFDlMZzgRikzwPrhgpJwBzjlqX5MPCooiZ1EumJdzXnjmkOev32JeVuSZ4PIwWz6dnrBdXyKPIQ804RBtM9Z7eJwuaHS9RFY8NG6zz2urXLNmi17oTSucrHqnrBFNUtu6Y+CO2rRyBFQVX9d4rzivZFIgDlRrHIIUW8zmJVujAiQnzwYUhSPPc5zkLLQmm88ZFTmLxZzalzz2yGWeeMvTqK8p5yWT6Q2qUll4xXsYFkLmHKI120OHQ8gdYZn3jAchv00SxfIiozyeI5KBOHxdA1njUdQx43sCX7C7g4dUTY14D1kYU1kWhJ54M0Jfe9/kSHUiqLhQPafXdRrDcRzqa1DPYJhz6co+jz5+he3tPYbDEQDe18znC6oqeJqUZcV8PsfXQXh64rGrgLK3s0sZk7UOhwWwzbVr1zg4PESA2XTCcDBgNB6R5RmSZY2XGRC9tqQRP9d6gmj0tumM+/4rIyULXh673Wo5Hel0yQNref2d0BM70/O15FjVe16T0oaCeAaDgjxzeA3Vb9Ac72tqf8blgY0zxYQSwzAMwzCMh4TlKiJw+1n/MAPahn2030+vFNGE12w0zjvGERL8/6NBrQL41Yondz372zE8VZJAE9rtfc18NmdQFIzG28wnRwyHRVMi1rmQgLLyIbeHV0VQRDIGwxHj7TEjRpRlzcsfeo6T2YLhIEdRchcqsFTzKXVZkuVFuFaFZTeSvim31P6NIlZHIGj67fbcSV6a/r3fLI6tO8by586ZV7ZvBLUNM+/L2zXLVo4b1tfqqesaX2sMI6ljWImE8JAqVnEZjlHJmUzLmAQ1VIm5uLPNy4sFmYPdC7ts72xx9bFHyUYjpK649OhVqrLk8OCYalKG7XbGzOdztoc50yqUDRYJYlohnsuP7LK7vU3lHYOdLWbeUdUVWRavKZUJbkJhVq+u+aTtfdYUPhMta3FplYOOx1dKJaqqaN0XB4J3SrzvLifLc4rBiO0dIc8yiqIgi544CIyGQ0QkenD4psRxkYeEKaoh10hd14iE8JnMDXnisccYDwdMJidBdFQFCZ5byccjiSJBO3VNG1OOHzp94zV4pChKVVZUVY33eXC5Se4avdGiS90qvWdonUiySTxJr5Bl76yuJJO8SVSV5cJbjbdeEhWjeOLIgkeJupCbxIe+dLJaueueYh4lZ4oJJYZhGIZhGA8NS37irBdMZMXYiMEO2jeo0+8VY375dGu2C9ZEyvnQPZU2+60Tdjaxatx0He0TqWJPcG+v64rBYItiOGSxmDCICS6BWLGiLdWZ5q6dEyQTXCZUdegT70OelWQkee9ZlCWL+Zz5/ITBaNzGKiTDbdkQ6/RTup62DzZc+4aZ8LtJ1Lu8vj3nuv7rtvR04ap7vk15R1Ji2XC0dqZ9nTjUHFP7l9189BrCFuLKkMsjY1HW1N5TlVOKPKf2npPJIVk+jN4RJdNyzvaOoxhkPP2ON3Fhb4x6pRiPQkJRSgajAbt72xSFx10/YVw5xAdDXRUylPFQcA6GuXLpwi5XH73KaG+XsvQwHDKf1vgaxIV8KI0nhPSupHdxSahwSdmg9cBQQkJY56Ud7j6W1A7OUL1Qrm4unCSwaWxECF0BaigXwdNqvFXEdrgQiiYgklFVoa8HRRBYVLURULIsQ9XjfY1D2d4acnzoqMqS8dY2460tHFAtykbIzJwjz4somoYOSUIMhOdJgntQM058nUoY16hmLGcpWQ0dW31vrdt2XbLW/ljrvPdotZnuu1HQvqdYFERajzkB8c1r2HtPVVWNOCKZxvLkZ1z1xorqnCkmlBiGYRiGYTwUxL/oRUl/xafytLBqkG4yVpdZXtzMrKZkJM12S0lG6RjQyzbNJjqG323DSGLsQaij0Z/91Tg777KMlDKzKLYYb1XBgO14bLTCRlhS5BnOQVXXgOAyx3A4YFqW4UguVDVZlBW+9pTzOWVVMRgUtNZsp++a860KCe3nTgfo6ox2e7w2d8tpbOq7bs6XdcZiu0/f8Nw8Nk4X5NJ9QNp8HKe3tzWkUz8mYzV4CSWFLRjW6kM4Sb23x/z6jMxlzGYVHshcm9umrpTDWwdc2tuGqiJzQp2S50bByGWO7b09RltD8I7Do2MOD0pUociE7aFjd3vAYLzLYFiwtbPFcGsM4sgHDnUZ6hfUdYnLHEhG10uEbjhGrxPbHndx/Pf60EdvKaG5fu0MWJFW5EgeCtE3o1nfiH1AXXkODg85OjwE1SBEeM9oVPDkE48z3tlhNBoyzIrgTUL0MqkqDg6OeeX6dY6Pj/G+5vKVy2SZ49qNQ2azCnUlqofRI8aTiaMoCgbDYRQmXas6dLxD1PtO1FzI35GEhJ7A21xdNyStOzbXhKq1CiVR4uiNu+6xVZcFkNjcpbOsH8txq57g096fVIYZgkgrhPfTWWJVb84WE0oMwzAMwzAeArSZio/JCkSjWBHW30nuirXbiDaJTsN52lnwU9uzNLO7nD9lXcnNsP36trRGjbY/0TtFmuMT8jGQgUavkegJMtzeYjabBINTPYjrGGfazMLnWY7LHL72FFtbSOV56vGrzD5eUWtNSsJZVSGvgyjMpxOcbFEUg6bty4k8N3nohIUdw1hWZ8S5nWjU6d/1niNLp9s0o74kIK3bJp1rE3ecJ0VB1IGEUJpwB1IoQgyzaJZrI4AJvvHCUV+T5Rnb+3shue58TrVYMMhHbO/ssphsoeUMLgbDO8+V4VaG1zpcXcwR4X2FqJIPg9fDzv4+461t8vwQX1fs7GwzGhcUwzHD8Q6+LAEfxlFZRoUjb7vMe9TVaC9cpCsgdbqZ9GxpKJnrgpiQxnS3T1Oi5XBI1xzEOek9U+HfYIRXVR3DV2I1mdojCHk+YDqbMpvOQD2j8YBaQ3nfalGROcc8epHUZcXJyQk3btzi8OCAm4eHTOdznn/5esjDIhm7O9sMxyHCbjgcNM+Ri20qq6onZ4Ykr3kaUL3XSe2DN4nvjGf1bSWfRnzsDsvus7zkbSLp1di8N5ZCczoCVip33hwhVaZKpxFBQkHo3v6tmNKp8uWDKJQVjuGgiPuke7X6XN1zTCg5U0woMQzDMAzDeChYmvfUzodkcOERUsKD9V4Oq+Ezfc+HZY+EO6m0sjEnQO849AyfU8NMkjrSzPiGkrZp5rwsw+x5nufhuC7ksfCxzGia6Hci/fOJYzjIGV+4QF17xhcuoup5wsELL73CwUkoI5zMXu8909mUbDimKiucy8ky1wl96Hj2iNvYB73vHTOte+l3Egazrl9PF6deG5vuUe+6lkSBuAFNkhttVzbDkrbfml28p6l01HjcKPlgGLwwXMZ27vBVzeTwiPHuNuPdMZQLslzIB448d2QCWZZTzxbUVYlKRbWY4eJQ19ozHAxZIOzsbTEcDBmOhqCCK3Kcg9KXIYmqV+p6gSsKXOYZDgcxvKQdH52Lbj71x3rKJyLLj+MG0SuEhgG90IokBLT3QmL4WZtzxMfwJSRUohGCKFFWJS++dJ2TkzlOoPaesqoBpVyUlFVFVXvKqsL7OoqAAuJxQO6Eqqo4OjpmPisYDQu2xkOGw2EojZtlSBIjY+ucgNcqfnaoS+M1VsGJ1XBY2q/pyxVvkm7/LuU/WerPbrLVFBy2LEwSw8a6gsayp0pP/Ozdo86zQRC/tD1svEbIztijxDhbTCgxDMMwDMN4COgJDmlZ+t6EAGjaeCW/wfKx2j/0w37B2G9Lst6N0X1ayEfyxF/norL+HK1x0uYWaZcHo8S3wkD8qaOR1/dMaY15J4ITx2hri/HFx8jyAnEOQal9SHZ5eDLrtW0wHAA15WLOcLwdci04wSUXf22N/dO8ONo+2ODUvyRILPd/E94km/qsf6xXI5iclpNk8zG194sUrtVZLGkULm/aoRVdWs+KIpNQ9lZDmIdWNS5TiiLD7YxxPoROoS7k9fCKr9qTaAVVHbwpfDUHjYlEVcmzjMFwgHOpagv46OWyKBdUZUVR5Pjao96zmJcM84Isy4M4hws1f9Ozx5oxF7+mb15DNR/vfFzePnmZc2gUlsRJ+zj37k04R9JmvI95Req6EUrq2lNVNdPplOl0ymw2J4WvzMuSyfVr1JW2yVxb967O7ZPGo8yJkOUZRe4QF6rnlKVSVxV1WVFtLRgWBXmeh+epk8jVQ3N8RanrNl9QHXPRNO8h7zv92H9ukb7w0Zb/iT/r3i3auTW9e5Kut+nYkOR5SWRMyXaBpvhOPPPSacL/sizDievkWUkJp886R8lmcdV47ZhQYhiGYRiG8RDQzy/RsaS04/avrct4CiFp8mikZckwiIcKBloQHlpPh9sby+s8IHozsGkGGVpXdYWuubFigC+VUJG0SD1VWTPTGlSZzOc45/DxaHVVU9UVHuHy1Uvs1TVoqHjjFdSHfsid4+KlXU6OD2Leh1DatSoX7F/ZR4qCmOSEndGQbDgAHIvFnJOjW+Sp0ke8llJHoYzqBm+QJlwm3odlmWSdB8o6NNWKZc2M9tL3deuW+/p23iun5T/pf+8kCG5sxM54hHYMsjR+0dYoj6uTmOAyH4q/1GUTUlLPFxTZMFgvGkoJN+LL3FMvlCwX8EqWe3xVkmUZvqqoq0UjJHpfUbiCfDCkrmqKIm8qJYn31FXZNLUJZ/Ge6ckM72rEV9TqgiiwxlDt3eN03dFq9xoEnSb/TyNMSBQZgmDQ2vGdvC348P8o9vhoiNdVFT1BfEiQWntQH8WgApc7XOnwWkPpIPc4nzdVhZIbhOt4vDiR6CniyPOMQR5Kb2fOURQ5eZaHqjq5a5Lael+He9aqgojLmjAaTdejoDHsZtmbrRkevf7TTiiMhn7oCCQajy/Lu3XvibbViSS2L74de30d8qwQXjrpldq8O/uVjcKzELbPnGtCxVIZ8nTMM+Wsj/8Gx4QSwzAMwzCMhwDVIGb4mAAx5T1ovEo6hmibMqGzrDmS9I7Z91JoZ4Cbiiadv8VXDPDGkEkbus3bQkcsWUNQRNa6wTvnyHKgbKt71HVMXhmP6/KMi1eucPHKleYak2ETbKO2VK4qVLUiVPEyHG9+61vDumjnpSMEwcmhXlksyuaaiqKIBpF0DBYJ3i7pc3MJp6U6XU/f7V96rkSneY2sDQ/Y4Klyu/OvC6nq79/mYmgrsixZunGM9M3SPkIwNr16qrpmNMxB2hl51RAm0lRjcQ6ty9QgwFOVFWgOqrgshEJVVR29IgrQUGElzwfkRQjnyQvHoqzIsjx4TKhS1+G7B9SHXCcuK5A8wwmMBjmLCoKoUTft7zkrdD0ekksCbaWclMOiCccRkLhd9x6FUJroJRVFk/Q9eVl4DR4pmXNorLZS1ykBrOLwqIciczjNqLzgqam1M9Y7F9A8OQrqwdeCy2FY5AyKgiwKJsl7JA2PuvbUTQnv9H6o+2NIlahZ9JyQAjEUp+PC0UZ39UXA9HrzunSIZps2hGtZS+iO5ySWNJ4vXptnlyZXTuddAr3rCSE2wcusKELOlqqqY4nlex8Kt4IJJWeKCSWGYRiGYRgPAWFW1C0Zr9IYOY2DefJc0DQTm/SJ5SlbBZcSwm4oJ9taB0l1IBlz3Y2S8df7wz3ZO8uGdvNBoj2WvAs2XHea5XaOPA/7DPJO7P+ac7QGfEdf0OhR0xOG2rY0/dc1nNIMOOAQXBYM+EwceZFTlKvO+E1OhG4/9D+scLucMErfy6D7e92x0vrTvE2WzxDWdY+zzg7T3threqwxJrXzuzNbf4pIggjOObbHA/Z2huS5Yzx0zBcVeZ4McgGXUXvaxKpF1rYnK8gG7Yy/ZlmUrOrwWRodDnGOKpWxVaidgrQJVhmP8OIa2UAcaKrmIo7dSwMUISsG7O5fRNysd63tdaVujeFEyej3GvN1SMzLEp7DlBc2eT+ke1XXnpTzAh8TzNIKhs3vKCqVZSh5PJtOWZRz5osFZVXj61DFqY73rxsWkkJ7kneQcy6mmAnvkUb2iefyCqLJC41GmBVt3wMqwkp5XI0jQdOYUBQXvWM64lKvXc0wI3nbNAlae+OzXdAdu+vG8br3RdM+3ybJbkKDdPW914RDxZeuEAQrKRxZllHXVRNudGaYUHKmmFBiGIZhGIbxEJBmoVOGx+Ah4freINLfvmsAt9+jkdUYEB3PhZXQmmTwas9YWWfzrsuhsry+9XRZbW876bz6x38owQniwwz8yz7lh1gj7qzu3fvUiDrL7UvX2THvq7LmZDIlzwpG4xG55sEgzMAtXDR+4z5eG2NRgVSK41SRoNM3m659eZvelW0IkVn9HMWoJDqsbN81Mvsz8f0x0V3WF3dWvVV0qTeXxLB4DEHIMsejjz3Chf3tVjzoboa0XlTJSaUxUMNG7fMhjejRinLpn77A2FY48b3ztAIk9PpLwrmcOCTLGRRDhHlzrd1r73qYSHpmfcwpUnfbk3JkuGbfbmLXlPzUew9e0W6GVzSUiNX2/uWZUFeQZUKugq+FEIkmvfHZhJks4UTI86xZn0oTt49tCGtLHSQu9EcbviPNcXwUNDRerkKTZKXxu2qe+1RBiJ4AkDyqWt0mebul0C9deY8196DzfXNYmzbePL12LG+eRJPIqqdcEo3CGMqyrL0446HEhBLDMAzDMIyHgOBOvmzoagxLIC5vhZPNYRcK0kko2TNKPD3hpTEeaI91qs3fNY03Xcdq+Mc6b4r0KUzkOwTB+bQizQA3//QVGm3b0YQQRbrmYXddzyMmzYprKIUqhDKoTfhT5SnrOaPRqHPaaBRqaGQy7JLzwqrltSouCBLzqUhjXN6OdcZb/7h9zwFpyhP3jrLxeMueKa33SysuhDHYFU7SOE37p7OsE3tAXMZjjx5S+7rtqyV9oiNzNYJJu26VlKOn3SjsLxuO25FQ1h+1CSeRxusiiRnp6vpox+BOfdMKGl2DPnhT+J4XVJscOWwVkhinca1t+12oIOO9p6oq5vMF5XxB7UsEyLOM3PngySIeleA1QacPo7tIU/FJoyATRBAhd9KcQ2qAOibCDUJT441DCKFqhK2Op0qT/FhCiJVovw/akBxFJFXEYamvlnp4SRRZt653jpjfRGkecdJ7M23rmqpG2uocsf1O2yN1CWFjS8+hCJmccdUbS+Z6pphQYhiGYRiG8ZAQjKh1RkGy47T53M6y9lJmhpnd4KvfGrbQMYCTcbFqWJ7m6d0Yw7q6rBU24vE7S/v2ujbbhEne5IUijAQomg2ba+pLM0tGZM/gjZ4G3X6RduvV7aESh2bDaJgHw1hcOI6qkGeh+MnQdSyqxrqLHiq92e5uv/TX9VrczKz3m9+9WF2zL2h775q+7npyaMc4TMdcIyb0TtKmvUzNDttr2x5NZ0rjqM0RkQSTpgXNZbedkYSBTJZn4bsG/XpxpLlz0tl+eaNOB/ZEl03uT5G69MwXJUKo/pIXBVkUCILDxSYDPq7Ttr+7Aki6tvS8ObdURhs6YR9t84NO2REJRYKNHweyc44iLxBCnpK69gglQyDLHN5nVN5T1yHfCz7etVjJSVzw7slcvN4so3AZiAvLs5DgNV1DkPNq1CfBMd37jlCRBBLSvfdNmFG6Dl/XMaQo9Utn8Hf6I/SPdLxq0jbpHJ3npnHt6rSD7jnS3ZL2mYheS6o13VDHdKqu6Nfe7PDL1z6KPC6Gh2322rknKKD+tptt3Ne4LSaUGIZhGIZhPASsVBkhJXRMs/3QGgLS368xHoOBL0oT4rDsgdI12JKxtpzsdX37lpesCccQ6djXQqxhDIQcIK1DPo2gI3GboYOh9K5sVXhIRnlSQJaMmq5vSWvMyYr4lAxdzYlGnSJStwZwNFiz3MUZdGhDorTTnmVBY7Wv+sJSp8FLs8VNgs/edfXvSzpWynPRFO8Qae3HzvbL+7b90wpJ6dJ6njOpGzqeBL4zz941lLuf+22Gqh7AfJsU1nC7KiH9oZS+nC529MSrleNt3ldVqRae2XxOnuUMsxGLBYhzMVeIMiiyZshV9YCQADSdM/AJV3M0FGY+jBPfe15l5ZyNoNK9ttjPIcSle/ykQAg6dEARvEF0K1TE8R6tQ4LcOpUR1uBdksrz+s57oElAKq146kQIgkGn31zIuRJElSymeEliYkfMaVrZ8cHQttnhmZH4kPlmuyTA9A/TinbpmHTGVrN86T22WmkqqTTSrBdJolkUS5wHX6GpuhHp2XfRGwe00UDC97KsACHLBFFP5evbCnGvDV330r3zfY3bYkKJYRiGYRjGQ4ASjDMRQX00YjXNkUtPRElGmHQMZCCIDqrB/f42s5G3M1o3tTLNytIYMj7O8koj2iSvjpT6tPVmOeWc0reb+iJJ5/zp10oIUWto9RPYwrKgk0JKBIFsSXGJfdqtarGcF2RzdZnWeGtDPNrUp8t93quAohsq5+iSl8SSeJIM62S/a68T17Wu7YNk9PfCWOiOqTD7v+yPs9LSRrBJzQxjr6oHlFURsoT47oz/ehHEtV1GpxG30UpuI75s2FlRqipUmakQqpPoUeFCGd/ae3zKWZMGZ7rOpnfCv4JSVlVzbK8+5rSJXk0p94j2+7xtYxBoxLU93JTXbW5skBnUh1Ccyiu+KqlqH6rlNEJUFBg1iFsh70l7vhR6kq4raDMCLo17hyO0RRU8HqcgkrWC13LvL3kmtSKnphMFwSZdT5Pfp3uglE8m/q9T8nf5+RM6z2R612gbchNEXE8nRTKq0pb19R5fV8FbRx2+rkLTXMolI623j9ZI5tjaGnJ0PGVeLiiKjCzLThXijAcfEzcx0EwAABJvSURBVEoMwzAMwzAeAv6rP/4X7K9uw3iA+eXn3QDjjYXlKDlTTCgxDMMwDMMwDMMwjIeJVx16Y9wJJpQYhmEYhmEYhmEYxsOECSVnigklhmEYhmEYhmEYhvEwYULJmXKGNYsMwzAMwzAMwzAMwzAeLsyjxDAMwzAMwzAMwzAeJvzplcuM14YJJYZhGIZhGIZhGIbxMGGhN2eKCSWGYRiGYRiGYRiG8TBhQsmZYkKJYRiGYRiGYRiGYTxMeBNKzhJL5moYhmEYhmEYhmEYhhExjxLDMAzDMAzDMAzDeIhQtWSuZ4kJJYZhGIZhGIZhGIbxMGGhN2eKCSWGYRiGYRiGYRiG8bCgvPpkrqav3BGWo8QwDMMwDMMwDMMwDCNiHiWGYRiGYRiGYRiG8TDhLUfJWWJCiWEYhmEYhmEYhmE8NOirD72x2Js7woQSwzAMwzAMwzAMw3iIUPMoOVNMKDEMwzAMwzAMwzCMh4lX7VFi3AmWzNUwDMMwDMMwDMMwDCNiHiWGYRiGYRiGYRiG8TDhzaPkLHndeZSIyI6IfJuIvCAiUxH5CRH5LefdLsMwDMMwDMMwDMO4J6h/dT+vkTeKvf26E0qA7wG+GvgzwG8CPgh8j4h8ybm2yjAMwzAMwzAMwzDuAer1Vf3cA94Q9vbrKvQm3pxfB3y5qn5PXPajwKcAfxX4/nNsnmEYhmEYhmEYhmG8du6Bd8jd8kayt19vHiW/DTgA/klaoKoKfCfwThH59PNqmGEYhmEYhmEYhmE8xLxh7O3Xm1DybuCDqivy2k931huGYRiGYRiGYRjGQ8s5hd68Yext0ddR/WUR+UXgF1X1Ny8tfwfwi8AfVtX/cWndrdsc9gLAhQsXmgW6KO9Fc+8aGRSnrtfF5D61pI8Mtk5dXy1O7lNLVskH2xvXLcrza9eg2Nwu4+44Kc/neQTYLjY/kydldR9b0me72BxVOS3P750/LmTjuuoc25Wf0i4/P792ueHmdgHovL5PLekjw6z5fHBwAGEy6fU28WIYhmEYDyTRfr2Qc7ptuImK5m/ng9O2U9X9Nee+a3v7YeV1laMkctpfta/2L149ODg4fJX7dklqy6mDciPTe9CC9bzGdr263e6A19YuOKu2veZ2TV/DJZ3Ca++vs+F1264zvKDX1LYHtV2Le9iQJV6fY2x27xqyxL1s1x5w/4OkDcMwDOONywH0BI9Xw95r2Pcs7O0HjtebUHIduLxm+aX4+8byinVK2VmRvFfu5znvBGvX3WHtujusXXfPg9o2a9fdYe0yDMMwDONeo6pvPsfT37W9/bDyenOV/TngXSKyfF3vib9/9j63xzAMwzAMwzAMwzBeD7xh7O3Xm1DyPcA+8KVLy38v8Auq+sH73iLDMAzDMAzDMAzDePh5w9jbr7fQm+8HfhT4OyJyGfgY8DXA5wO/9TwbZhiGYRiGYRiGYRgPMW8Ye/t1JZSoqorIlwF/If7sAx8EvlxV/+k5Ns0wDMMwDMMwDMMwHlreSPb266o88IPOg5pAz9p1d1i77g5r193zoLbN2nV3WLsMwzAMwzAeTl5vOUoMwzAMwzAMwzAMwzBeNSaUGIZhGIZhGIZhGIZhRCz0xjAMwzAMwzAMwzAMI2IeJYZhGIZhGIZhGIZhGBETSgzDMAzDMAzDMAzDMCImlBiGYRiGYRiGYRiGYURMKLkPiMiOiHybiLwgIlMR+QkR+S0PQLueEpG/LiL/t4gci4iKyHvPuU1fLCLfISK/ICITEXlORL5bRN5zzu361SLygyLySRGZicg1EfkREfmN59mudYjIN8V7+R/OsQ3vjW1Y9/PO82rXUvt+SERuxXH2QRH5Q+fcpu84pc9URB47p3b9MhH5XhF5XkROYl/9KREZnkd7Ou36vPgMnojIoYh8//1+T9zNO1REfr2I/Fj8b8DLIvI/i8j+ebZLRH6viPwjEflI3OZ9Z9EewzAMwzCMhw0TSu4P3wN8NfBngN8EfBD4HhH5knNtFbwd+F3AMfB/nXNbEv8l8CbgrwG/Efj/xO8fEJHPPcd2XQR+Afg64D8H/hAwB75fRL7qHNvVQ0R+CfD1wEvn3ZbI1wO/aunnmfNskIh8DfDDwEeArwK+FPgfgMF5tgv4c6z21RcAU+DHVfXF+92gKGr9W+AtwB8j9NV3A38e+Fv3uz2ddn0u8KNATni3/j7gCvCvROTt97Epd/QOjSLF9wOfIPThfw38FuD7ROQs/jt8p+/23wN8GvCveHDeGYZhGIZhGOeOVb05Y6IY8n3Al6vq98RlAvxr4LKqvusc2+ZU1cfPX0YQdL5IVd93jm16RFVfXlq2D3wM+BFV/YpzadgaRCQntOtDqvprH4D2OIJR+wHgPcC+qn7mObXlvQRD9rep6veeRxvWISJPEwSvb1LVv3ze7bkdIvLlwD8G/pCq3ndhQkS+CfhG4O2q+pHO8u8iiExbqlqeQ7t+CHg38DZVncZl+8BHgX+uql99n9pxR+9QEXk/UACf3dn+1wM/BHyVqv7Dc2pXd7v/ANxS1ffey7YYhmEYhmE8jJhHydnz24AD4J+kBRrUqe8E3ikin35eDUt/ID9ILIskcdkt4EPAU/e9QaegqhXh3t53Q3EDf5zQR//f827IA8zXxt9/41xbcef8AWAC3FND+i5IY/tgaXka9/X9bU7DryIIp9O0IL4n/jXwZSKS3Y9G3Mk7VESeBD4H+K7u9qr6L4BPAvdc/L3Td/uD+N8AwzAMwzCMBwETSs6edwMfXPMH6U931hunICJXCf30sw9AW5yI5CLyhIj8WeBTCWFC592uTwG+Gfgjqnp43u3p8D+LSCUiByLyz0Tks8+5PV8A/Dzw5TEPTh3z4PxFETnv0JseIvI4Iczr/zjHe/pdwA3gfxSRt4rInoj8VuBrgL96job2gBD6tswc2AI+5f4251TSO37d++tnsP8GGIZhGIZhPHDk592ANwCXgV9cs/xGZ72xgRim9O0EUe+vnHNzAP4R7QzwIfA7VPUHzrE9qY/+FvCDD1CYywHwrcD7CGP9XcCfAv6NiHyhqv74ObXrifjzN4BvAH4O+LXAfwM8Tch38aDwNUAG/J3zaoCqPhvzgXwvIawl8RdU9RvOp1VAyPP0uSIi0UMPESmAXxHXXyF4oT0IpHf8jTXrbgCfdR/bYhiGYRiGYdwBJpTcH05LBGNJYk7nW4AvA36/qv78ObcF4E8Cfwl4DPgvgH8kIl+jqv/gHNv0B4FfDpxbGNcyqvpTwE91Fv1rEfk/CbPqfx74defSsCC47QK/S1X/t7jsfSIyBv5rEflGVf3wObVtmd8HfFhV/9V5NUBE3gz8U+BFQhjhLeALgf9GRPw5iiV/gyAgfZuI/EXCff1m2vC8BzGkZNO73v4bYBiGYRiG8YBhoTdnz3XWe41cir/XzTIagIj8eUKVmT+qqt9xzs0BQFU/qqofUNV/qqq/C/hB4H84o8oVt0VErgB/GfjvgBMR2Y9JLXMgi99H59G2ZWLVlh8CzrN60fX4+weXlv/z+PuBmN0Xkc8nVCP5e+fclL9IEJZ+o6p+r6q+T1X/LGG8/WkRect5NEpV/y7BQ+n3Ac8BzxL6K3mdPX8e7dpAGnOb/jtg/w0wDMMwDMN4wDCh5Oz5OeBdawzp98Tf555340FERL4Z+NPAn1TVbzvv9pzC+wmlg6+e0/mfAi4QDNebnZ/PI+Q+uAl80zm1bR2O851B/5kNyyX+flA8Ef4AIVHqd55zO34ZIcfSdGn5TxDu5Tvvf5MCqvqXCCE27wHeoqq/miA8fFxVP3Fe7VrDz8Xf63KRvAf7b4BhGIZhGMYDhwklZ8/3APvAly4t/73AL6jqB+97ix5wROQbCfkjvkFVv+W827OJmBvkvYRwhOunbnx2fBj4ojU//xH4SPz87efUth4i8hjw64EfO8dmfHf8/SVLy7+EIOB84P42ZxUR2Qa+kpBz5pPn3JzngXeLyNbS8l8Vf59r+1R1rqo/q6ofj94tvxP4m+fZpmVU9TmCsPTVXcFcRL4YeJJ2TBqGYRiGYRgPCJaj5Oz5fuBHgb8jIpeBjxGSNH4+8FvPs2EAIvLb48fPib+/MIZznKjqP9+w21m25+sIHhD/DPjhmEgyMY+5L+47IvK/Ah8H/j3wCvA44T7+WuD/FUsF33dU9ZiQMLWHiNyK61fW3Q9if30U+EmCV8s7ga8HxoTEqeeCqv6AiPxzQrjUFdpkrn8U+J9U9ePn1bYOvxPYAf7ueTcE+DaC2PuDIvKthCS97yXk6vlhVd3koXOmiMhnEHIX/QSh0s1nEsbV+wlJhO9nW+7kHfr1hLCzfyAi305IKPyXgB8H/vfzalcsT59yG10Ais5+H3hAngfDMAzDMIz7jsSCAcYZIiJ7wF8AfjvBu+SDwDc/CBVKRGTTAPi4qr7lfrYFQETeR0gWuY5zaROAiPwRQkWUTyUYFAcEI+1vquo/PY82nUbsx31V/cxzOv+fAr4KeAuwTfC4eR/w36rquYYaRI+NPwv8LkLI1LPA3wb+8jmWu20QkX9NEJaeUNXyAWjPryPkA3kPQcB5BvjfgP9eVU/OqU3vJHhKvZswvj4K/C+xTevKBp9lW+7oHSoi/zlh3H0GcESoJPQnVfXmebVLRL4J+MYN2/3+ByU3lGEYhmEYxv3GhBLDMAzDMAzDMAzDMIyI5SgxDMMwDMMwDMMwDMOImFBiGIZhGIZhGIZhGIYRMaHEMAzDMAzDMAzDMAwjYkKJYRiGYRiGYRiGYRhGxIQSwzAMwzAMwzAMwzCMiAklhmEYhmEYhmEYhmEYERNKDMMwDMMwDMMwDMMwIiaUGIZxTxGRiyIyExEVkd99m233ROQbROQnReRIRCYi8kER+RYReXTN9m+Jx/2bd9COtduKyDNxefo5FpFnReT7ReT/LSL7d33RhmEYhmEYhmG8bjChxDCMe81XAwPgY8DXbtpIRD4V+I/AnwU+Cvwp4I8BPwb8UeDnRORXnVEbnwN+T/z5Y8DfBkbAXwd+QUR+7Rmd1zAMwzAMwzCMB5z8vBtgGMbrjq8FfhT4J8C3isjbVPUj3Q1EZAv4p8CTwJeq6vd1Vn+7iPz/gB8G/omIvEdVX7rHbTxQ1b+/tOybReQLgf8znveXqeqH7/F5DcMwDMMwDMN4wDGPEsMw7hki8lnAZwLfCfyvQAn8/jWbfi3wqcBfWxJJAFDVnwD+NHAV+BNn1d415/2XwNcBOwQPF8MwDMMwDMMw3mCYUGIYxr3ka4ET4B+r6nXg+4CvEZHld81vj7//1inH+g6C0PIV97qRt+G7gDnwJff5vIZhGIZhGIZhPACYUGIYxj1BREbA7wL+D1U9iYu/E3gK+M+WNn83cHRaaIuqToBfAN4iIjtn0ORN550Dvwg8LiK79+u8hmEYhmEYhmE8GJhQYhjGveLLgYsEcSTxfcDLwB9Y2nYPOLiDY6ZtLrzm1t0dh/H33n0+r2EYhmEYhmEY54wlczUM417xtcA14DkReXtn+b8AvlJErqjqK3HZIXcmQqRt7kRUuZek8x6eupVhGIZhGIZhGK87TCgxDOM1IyJvBb4IEELYyjp+N/Ct8fPPAl8gIm/fFH4TK+N8GvCMqh7f2xZvRkSGhESzL6jq0f06r2EYhmEYhmEYDwYmlBiGcS/4/QSR5A8Ct9as/28JHiffGr9/N/AFwP+DzdVlfi8wiNveT34PMCSEDRmGYRiGYRiG8QbDhBLDMF4TsaLN7wN+RlX/9oZtfgnwTSLyOar6AeBvA38E+OMi8j5V/YGl7T8L+O8IoTzfcpbtXzrvFwJ/FTiK5zcMwzAMwzAM4w2GCSWGYbxWfgPwNPB3TtnmHwPfRPAq+YCqnojIbwF+APg+EfnHwPuACvgVBK+OY+DLVPXFM2jzBRH53fHzEHiCEDr0XkLy2a9S1Y+ewXkNwzAMwzAMw3jAMaHEMIzXytfG3xtDZFT1Z0XkF4GvEpE/rqpTVf15EfmlwB8lVMz5EiADPg78DeCvnJFIAqFk8XfFz1PgOiFvyh8D/hdVvXVG5zUMwzAMwzAM4wFHVPW822AYhmEYhmEYhmEYhvFA4M67AYZhGIZhGIZhGIZhGA8KJpQYhmEYhmEYhmEYhmFETCgxDMMwDMMwDMMwDMOImFBiGIZhGIZhGIZhGIYRMaHEMAzDMAzDMAzDMAwjYkKJYRiGYRiGYRiGYRhGxIQSwzAMwzAMwzAMwzCMiAklhmEYhmEYhmEYhmEYERNKDMMwDMMwDMMwDMMwIiaUGIZhGIZhGIZhGIZhRP7/rdQcYviTWUsAAAAASUVORK5CYII=",
-                                    "text/plain": [
-                                          "<Figure size 1296x432 with 3 Axes>"
-                                    ]
-                              },
-                              "metadata": {
-                                    "needs_background": "light"
-                              },
-                              "output_type": "display_data"
-                        }
-                  ],
-                  "source": [
-                        "fig, ax = plt.subplots(ncols=2, figsize=(18, 6))\n",
-                        "\n",
-                        "sns.barplot(x=hit_rate.index, y=hit_rate, ax=ax[0])\n",
-                        "\n",
-                        "ax[0].set_xlabel(\"AOI ID\")\n",
-                        "ax[0].set_ylabel(\"Hit Rate [%]\");\n",
-                        "\n",
-                        "plot_color_patches(reference_image, aois, hit_rate, ax[1], colorbar=True, unit_label=\"Hit Rate [%]\")"
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "e92675bb",
-                  "metadata": {},
-                  "source": [
-                        "### Time to First Contact\n",
-                        "Time to First Contact measures how long it took observers to look at an AOI for the first time. Short times to first contact mean that the observers looked at the AOI early during the section.\n",
-                        "\n",
-                        "We can compute time to first contact as the difference between the time when the first fixation was registered on an AOI and the time when the section started. So first, we need the information when each section started."
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 8,
-                  "id": "3433c65c",
-                  "metadata": {},
-                  "outputs": [],
-                  "source": [
-                        "sections = pd.read_csv(\"data/sections.csv\")\n",
-                        "sections.set_index(\"section id\", inplace=True)\n",
-                        "\n",
-                        "# compute the difference for the respective section\n",
-                        "for section_id, start_time in sections[\"section start time [ns]\"].iteritems():\n",
-                        "    fixation_indices = fixations[fixations[\"section id\"] == section_id].index\n",
-                        "    fixations.loc[fixation_indices, \"aligned timestamp [s]\"] = (fixations.loc[fixation_indices, \"start timestamp [ns]\"] - start_time) / 1e9"
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "6673adfa",
-                  "metadata": {},
-                  "source": [
-                        "Next, we aggregate the fixation data by section id and AOI, and extract the lowest value from the \"aligned timestamp [s]\" column. This is the time when the very first fixation on that AOI appeared in this session."
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 9,
-                  "id": "5af5bbc7",
-                  "metadata": {},
-                  "outputs": [
-                        {
-                              "data": {
-                                    "text/plain": [
-                                          "AOI\n",
-                                          "0      5.717699\n",
-                                          "1      4.106685\n",
-                                          "2      0.924827\n",
-                                          "3      4.236960\n",
-                                          "6      0.880846\n",
-                                          "7      2.774175\n",
-                                          "8      9.038934\n",
-                                          "9      8.679888\n",
-                                          "10     6.706401\n",
-                                          "11    20.301783\n",
-                                          "Name: aligned timestamp [s], dtype: float64"
-                                    ]
-                              },
-                              "execution_count": 9,
-                              "metadata": {},
-                              "output_type": "execute_result"
-                        }
-                  ],
-                  "source": [
-                        "first_contact = fixations.groupby([\"section id\", \"AOI\"])[\"aligned timestamp [s]\"].min()\n",
-                        "first_contact = first_contact.groupby(\"AOI\").mean()\n",
-                        "first_contact"
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 10,
-                  "id": "3bf7fff3",
-                  "metadata": {},
-                  "outputs": [
-                        {
-                              "data": {
-                                    "image/png": 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",
-                                    "text/plain": [
-                                          "<Figure size 1296x432 with 3 Axes>"
-                                    ]
-                              },
-                              "metadata": {
-                                    "needs_background": "light"
-                              },
-                              "output_type": "display_data"
-                        }
-                  ],
-                  "source": [
-                        "fig, ax = plt.subplots(ncols=2, figsize=(18, 6))\n",
-                        "\n",
-                        "sns.barplot(x=first_contact.index, y=first_contact, ax=ax[0])\n",
-                        "\n",
-                        "ax[0].set_xlabel(\"AOI ID\")\n",
-                        "ax[0].set_ylabel(\"Time to first contact [s]\");\n",
-                        "\n",
-                        "plot_color_patches(reference_image, aois, first_contact, ax[1], colorbar=True, unit_label=\"Time to first contact [s]\")"
-                  ]
-            },
-            {
-                  "attachments": {},
-                  "cell_type": "markdown",
-                  "id": "b0764364",
-                  "metadata": {},
-                  "source": [
-                        "### Dwell Time\n",
-                        "\n",
-                        "Dwell Time describes the total time an observer has looked at a given AOI on average. We can find the dwell time for each subject by summing up the durations of all fixations we detected, separately for each AOI and subject. Then we calculate the mean over all subjects."
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 11,
-                  "id": "54106833",
-                  "metadata": {},
-                  "outputs": [
-                        {
-                              "data": {
-                                    "text/plain": [
-                                          "AOI\n",
-                                          "0    1.0240\n",
-                                          "1    0.4230\n",
-                                          "2    1.6328\n",
-                                          "3    0.8660\n",
-                                          "6    2.7958\n",
-                                          "Name: duration [ms], dtype: float64"
-                                    ]
-                              },
-                              "execution_count": 11,
-                              "metadata": {},
-                              "output_type": "execute_result"
-                        }
-                  ],
-                  "source": [
-                        "dwell_time = fixations.groupby([\"recording id\", \"AOI\"])[\"duration [ms]\"].sum()\n",
-                        "dwell_time = dwell_time.groupby(\"AOI\").mean()\n",
-                        "dwell_time /= 1000\n",
-                        "\n",
-                        "dwell_time.head()"
-                  ]
-            },
-            {
-                  "cell_type": "code",
-                  "execution_count": 12,
-                  "id": "b41dd454",
-                  "metadata": {
-                        "scrolled": true
-                  },
-                  "outputs": [
-                        {
-                              "data": {
-                                    "image/png": 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",
-                                    "text/plain": [
-                                          "<Figure size 1296x432 with 3 Axes>"
-                                    ]
-                              },
-                              "metadata": {
-                                    "needs_background": "light"
-                              },
-                              "output_type": "display_data"
-                        }
-                  ],
-                  "source": [
-                        "fig, ax = plt.subplots(ncols=2, figsize=(18, 6))\n",
-                        "\n",
-                        "sns.barplot(x=dwell_time.index, y=dwell_time, ax=ax[0])\n",
-                        "\n",
-                        "ax[0].set_xlabel(\"AOI ID\")\n",
-                        "ax[0].set_ylabel(\"Dwell Time [s]\");\n",
-                        "\n",
-                        "plot_color_patches(reference_image, aois, dwell_time, ax[1], colorbar=True, unit_label=\"Dwell Time [s]\")"
-                  ]
-            }
-      ],
-      "metadata": {
-            "kernelspec": {
-                  "display_name": "Python 3.10.6 64-bit",
-                  "language": "python",
-                  "name": "python3"
-            },
-            "language_info": {
-                  "codemirror_mode": {
-                        "name": "ipython",
-                        "version": 3
-                  },
-                  "file_extension": ".py",
-                  "mimetype": "text/x-python",
-                  "name": "python",
-                  "nbconvert_exporter": "python",
-                  "pygments_lexer": "ipython3",
-                  "version": "3.10.6"
-            },
-            "vscode": {
-                  "interpreter": {
-                        "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
-                  }
-            }
-      },
-      "nbformat": 4,
-      "nbformat_minor": 5
-}
diff --git a/src/alpha-lab/multiple-rim.md b/src/alpha-lab/multiple-rim.md
deleted file mode 100644
index 928df0264..000000000
--- a/src/alpha-lab/multiple-rim.md
+++ /dev/null
@@ -1,256 +0,0 @@
----
-description: A living space - working with multiple reference images
-permalink: /alpha-lab/multiple-rim/
-tags: [Pupil Invisible, Neon, Cloud]
----
-
-# Map and visualize gaze on multiple reference images taken from the same environment
-
-<TagLinks />
-
-<div class="iframe-container">
-    <iframe width="560" height="315" src="https://www.youtube.com/embed/CLNDE0VJVng?si=Hsp2C3JYRCIOtKyY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-</div>
-<br>
-
-::: tip
-Level-up your Reference Image Mapper workflow to extract insights from participants freely exploring their environment!
-:::
-
-## Exploring gaze patterns in multiple regions of an environment
-
-Understanding where people focus their gaze while exploring their environment is a topic of interest for researchers in 
-diverse fields, ranging from Art and Architecture to Zoology. The [Reference Image Mapper](/enrichments/reference-image-mapper/) 
-enrichment in Pupil Cloud makes it possible to map gaze onto 3D real-world environments and generate heatmaps. These provide 
-an informative overview of visual exploration patterns and also pave the way for further analysis, such as region of interest analysis.
-
-In this guide, we will demonstrate how to use the [Reference Image Mapper](/enrichments/reference-image-mapper/) to map a 
-participant's gaze onto various regions of a living environment as they freely navigate through it.
-
-::: tip
-Before continuing, ensure you are familiar with the [Reference Image Mapper](/enrichments/reference-image-mapper) enrichment. 
-Check out [this explainer video](https://www.youtube.com/watch?v=ygqzQEzUIS4&t=56s) for reference.
-:::
-
-## The tools at hand
-The [Reference Image Mapper](/enrichments/reference-image-mapper/) enables mapping of gaze onto a 
-_single_ reference image of an environment. However, there is often a need to analyze _multiple_ regions for a more in-depth 
-understanding of visual exploration. This guide demonstrates how to accomplish this by applying the enrichment multiple 
-times during the same recording to generate mappings and heatmaps for different regions.
-
-## Steps
-For the analysis, we will need the following:
-- Multiple reference images of the environment
-- Single or multiple scanning recordings. The choice of whether to use single or multiple scanning recordings depends on 
-the dimensions of the space to be explored (see below for examples)
-- An eye tracking recording taken as the participant(s) move freely within the environment
-- User-inputted [events](/neon/basic-concepts/events) to segment the recording(s) into [sections](/enrichments/#enrichment-sections) based on 
-the areas the person was looking at
-
-1. **Capture Reference Images:** Take pictures of the areas or objects within the environment you wish to investigate. Here are some example pictures of different areas and pieces of furniture in our environment (a living room, dining area, and kitchen):
-
-<div class="image-row">
-    <div class="image-column">
-        <img src="../media/alpha-lab/desk.jpeg" alt="Desk" class="image">
-    </div>
-    <div class="image-column">
-        <img src="../media/alpha-lab/tv1.jpeg" alt="TV1" class="image">
-    </div>
-    <div class="image-column">
-        <img src="../media/alpha-lab/tv2.jpeg" alt="TV2" class="image">
-    </div>
-</div>
-<div class="image-row">
-    <div class="image-column">
-        <img src="../media/alpha-lab/table.jpeg" alt="Table" class="image">
-    </div>
-    <div class="image-column">
-        <img src="../media/alpha-lab/kitchen.jpeg" alt="Kitchen" class="image">
-    </div>
-    <div class="image-column">
-        <img src="../media/alpha-lab/cupboard.jpeg" alt="Cupboard" class="image">
-    </div>
-</div>
-
-<div style="margin-bottom: 50px;"></div>
-
-2. **Record Scanning Videos:** For this guide, we used *five* separate scanning recordings to cover the environment. If you have a bigger or more complex environment, it might be necessary to use more. On the other hand, it might be possible to use fewer if you have a smaller environment or if you can capture sufficient data. Remember, each scanning recording must be **under 3 minutes in duration**. 
-    
-Check out these videos which show how we made the scans (also be sure to follow our [best practices](/enrichments/reference-image-mapper/#scanning-best-practices) for optimal scanning):
-
-::: tip
-The Reference Image Mapper prefers feature-rich environments. If you have large plain surfaces, like empty tables or countertops, 
-consider placing some strategic items within the environment to increase the chances of successful mapping. 
-:::
-
-<div style="display: flex;">
-  <div style="flex: 50%; padding: 5px;">
-    <div style="position: relative; padding-bottom: 75%; height: 0;">
-      <iframe style="position: absolute; width: 100%; height: 100%; border: none;" src="https://www.youtube.com/embed/jeL8gs053lg?si=6wlx4fjxlfiqrbRq"></iframe>
-    </div>
-  </div>
-  <div style="flex: 50%; padding: 5px;">
-    <div style="position: relative; padding-bottom: 75%; height: 0;">
-      <iframe style="position: absolute; width: 100%; height: 100%; border: none;" src="https://www.youtube.com/embed/zksTzVkGifk?si=3bxl0eKOgRbfoes-"></iframe>
-    </div>
-  </div>
-</div>
-
-<div style="display: flex;">
-  <div style="flex: 50%; padding: 5px;">
-    <div style="position: relative; padding-bottom: 75%; height: 0;">
-      <iframe style="position: absolute; width: 100%; height: 100%; border: none;" src="https://www.youtube.com/embed/Bg_SiFByceY?si=d2koC7-V7bbrYL3h"></iframe>
-    </div>
-  </div>
-  <div style="flex: 50%; padding: 5px;">
-    <div style="position: relative; padding-bottom: 75%; height: 0;">
-      <iframe style="position: absolute; width: 100%; height: 100%; border: none;" src="https://www.youtube.com/embed/0r8oAn2AZMQ?si=SbSVHedGTJ4Zshfw"></iframe>
-    </div>
-  </div>
-</div>
-
-<div class="iframe-container2">
-  <iframe src="https://www.youtube.com/embed/fmy9F8Q9eW0?si=F7q399iZHGW2kArv" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-</div>
-
-3. **Eye Tracking Recordings:** Make an eye tracking recording while the participant(s) freely explore and visually interact with various elements within the environment. (You can of course make these prior to the reference images and scanning recordings).
-
-<div style="margin-bottom: 5px;"></div>
-
-4. **Add Custom Events:** During the eye tracking recording, users may focus on a specific region once or multiple times. I.e. they may revisit that region. By adding custom [event](/neon/basic-concepts/events) annotations corresponding to these periods, you can create [sections](/enrichments/#enrichment-sections) for the enrichments to be computed. This enables you to run each enrichment only on the section(s) of recording where a certain region is being gazed at. For this guide, we used the following event annotations to run five Reference Image Mapper enrichments:
-    - Desk: `desk.begin` and `desk.end`
-    - TV area 1: `tv1.begin` and `tv1.end`
-    - TV area 2: `tv2.begin` and `tv2.end`
-    - Table: `table.begin` and `table.end`
-    - Kitchen: `kitchen.begin` and `kitchen.end`
-    - Cupboard: `cupboard.begin` and `cupboard.end`
-
-5. **Create and run the enrichments:** You will need to create a separate enrichment for each reference image. A reasonable naming scheme *could* correspond to each area of the environment, like ‘cupboard’, ‘desk’ etc. In the temporal selection of each enrichment, be sure to use the appropriate events labels. E.g. for ‘cupboard’, you would use `cupboard.begin` and `cupboard.end`. Now, run the enrichments to map the subject's gaze from the recording onto the multiple reference images you captured.
-
-## Final results
-
-Once the enrichments are completed, you can view the heatmaps which illustrate areas which attracted more gaze. Additionally, you'll have the option to download gaze and fixation data mapped within the bounds of the pictures, enabling you to conduct further in-depth analyses.
-
-<div class="image-row">
-    <div class="image-column">
-        <img src="../media/alpha-lab/desk-heatmap.jpeg" alt="Desk" class="image">
-    </div>
-    <div class="image-column">
-        <img src="../media/alpha-lab/tv1-heatmap.jpeg" alt="TV1" class="image">
-    </div>
-    <div class="image-column">
-        <img src="../media/alpha-lab/tv2-heatmap.jpeg" alt="TV2" class="image">
-    </div>
-</div>
-<div class="image-row">
-    <div class="image-column">
-        <img src="../media/alpha-lab/table-heatmap.jpeg" alt="Table" class="image">
-    </div>
-    <div class="image-column">
-        <img src="../media/alpha-lab/kitchen-heatmap.jpeg" alt="Kitchen" class="image">
-    </div>
-    <div class="image-column">
-        <img src="../media/alpha-lab/cupboard-heatmap.jpeg" alt="Cupboard" class="image">
-    </div>
-</div>
-
-<div style="margin-bottom: 50px;"></div>
-
-<style scoped>
-
-table, tr, td, th {
-    overflow: hidden;
-    background: none!important;
-    border: none!important;
-    table-layout: fixed;
-    box-sizing: border-box;
-    padding: 5px;
-}
-
-img {
-    max-width: 100%;
-    height: auto;
-    box-sizing: border-box;
-}
-
- .iframe-container{
-  position: relative;
-  width: 100%;
-  padding-bottom: 56.1%; 
-  height: 0;
-  margin-left:auto;
-  margin-right:auto;
-}
-.iframe-container iframe{
-  position: absolute;
-  top:0;
-  left: 0;
-  width: 100%;
-  height: 100%;
-}
-
-.iframe-container2{
-  position: relative;
-  width: 50%;
-  height: 50%;
-  padding-bottom: 37.5%;
-  height: auto;
-  margin-left:auto;
-  margin-right:auto;
-  margin-bottom: 50px;
-}
-
-.iframe-container2 iframe{
-  position: absolute;
-  top:0;
-  left: 0;
-  width: 100%;
-  height: 100%;
-  
-}
-
-.image-row {
-    display: flex;
-    justify-content: space-between;
-    margin-bottom: 20px; /* Add spacing between rows */
-}
-
-.image-column {
-    flex: 1;
-    margin-right: 10px; /* Add spacing between images */
-}
-
-/* Style for the images */
-.image {
-    width: 100%;
-    height: auto;
-    display: block; /* Remove extra space below images */
-}
-
-.video-container {
-    display: flex;
-    justify-content: center;
-    width: 100%;
-    height: 100%;
-    position: relative;
-}
-
-.test-container {
-  justify-content: center;
-  align-items: center;
-  height: 100%; /* Adjust the height as needed */
-}
-
-.test {
-  width: 50%;
-  height: 50%;
-  position: relative;
-}
-
-.test iframe {
-  position: absolute;
-  width: 80%;
-  height: 80%;
-}
- 
-</style>
diff --git a/src/enrichments/face-mapper.md b/src/enrichments/face-mapper.md
deleted file mode 100644
index 088cc508f..000000000
--- a/src/enrichments/face-mapper.md
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: Face mapper enrichment explainer
-permalink: /enrichments/face-mapper
----
-
-## Face Mapper
-
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    :src="require('../media/enrichments/face_mapper_header.png')"
-    max-width=100%
-  >
-  </v-img>
-</div>
-
-The Face Mapper enrichment robustly detects faces in the scene video. Detections consist of the bounding box of the face. This provides you with insight into _when_ and _where_ faces are visible to a subject.
-
-This enrichment automatically maps gaze data onto faces so that you can determine when a subject has been looking at them.
-
-Additionally, this enrichment also calculates the location of the most important facial landmarks in the image for each face: left eye, right eye, nose, left mouth corner, and right mouth corner.
-
-The face detection algorithm used under the hood for this enrichment is [RetinaFace](https://github.com/deepinsight/insightface/tree/master/detection/retinaface).
diff --git a/src/enrichments/gaze-overlay.md b/src/enrichments/gaze-overlay.md
deleted file mode 100644
index 9908e12a6..000000000
--- a/src/enrichments/gaze-overlay.md
+++ /dev/null
@@ -1,17 +0,0 @@
----
-description: Create rich visualizations of gaze data by overlaying it onto scene video.
-permalink: /enrichments/gaze-overlay
----
-## Gaze Overlay
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    :src="require('../media/enrichments/gaze_overlay_header.png')"
-    max-width=100%
-  >
-  </v-img>
-</div>
-
-The Gaze Overlay enrichment allows you to download world videos with a gaze overlay and/or fixation scanpath renderings. You can easily filter out the sections of your recordings you are interested in and customise the visualization. Currently, you can select whether to show or not the gaze, and change its size, stroke, color and transparency. 
-
-Furthermore, you can choose to show the fixation scanpath, or to undistort the video (correcting the fish-eye camera lens distortion).
-
diff --git a/src/enrichments/marker-mapper.md b/src/enrichments/marker-mapper.md
deleted file mode 100644
index eebab13a7..000000000
--- a/src/enrichments/marker-mapper.md
+++ /dev/null
@@ -1,60 +0,0 @@
----
-description: Map your gaze to a surface using fiducial markers
-permalink: /enrichments/marker-mapper
----
-# Marker Mapper
-
-<div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require('../media/enrichments/marker_mapper_header.png')"
-  width="80%" 
-  alt="A screenshot of the Marker Mapper enrichment on Pupil Cloud."
-  title="A screenshot of the Marker Mapper enrichment on Pupil Cloud" />
-</div>
-The Marker Mapper enrichment enables tracking of where an individual is looking on a particular area or "surface" by positioning markers in the surrounding environment. This allows for the generation of a heatmap of gaze data directly within the Pupil Cloud enrichment, or for downloading the remapped gaze data in CSV format for further analysis.
-
-## Setup
-For robust detection, you should place enough markers on your surface such that at least 3 of them are visible whenever the surface is visible. You may also place markers inside the surface or outside the surface in close proximity to it.
-
-You can use these images as a template for printing markers:
-
-<div class="pb-4" style="display:grid;grid-template-columns:1fr 1fr;gap:40px;">
-  <a download="apriltags_tag36h11_0-23.jpg" href="../media/shared/imgs/apriltags_tag36h11_0-23.jpg" title="AprilTags 0-23">
-    <img src="../media/shared/imgs/apriltags_tag36h11_0-23.jpg">
-  </a>
-  <a download="apriltags_tag36h11_24-47.jpg" href="../../media/shared/imgs/apriltags_tag36h11_24-47.jpg" title="AprilTags 0-23">
-    <img src="../media/shared/imgs/apriltags_tag36h11_24-47.jpg">
-  </a>
-</div>
-
-
-If you need more markers or higher resolution please see [here](https://github.com/pupil-labs/pupil-helpers/blob/master/markers_stickersheet/tag36h11_full.pdf?raw=True "PDF file with high-resolution markers.").
-
-::: warning
-<v-icon large color="warning">error_outline</v-icon>
-Note that the markers require a white border around them to be robustly detected. In our experience, this border should be at least equal to the width of the smallest white square or rectangle shown in the marker. Therefore, please make sure to include a sufficient border when displaying or printing them.
-:::
-
-## Selecting Markers in the Cloud
-By default, all visible markers are used for surface definition when creating a surface. You can add or remove markers by clicking on them. Markers that are part of the definition are shown in green, while others are shown in red.
-
-Note that when adding a new marker to the surface definition, another marker that is already part of the definition has to be visible within the same video frame.
-
-A surface definition always needs to contain at least 2 markers. Thus, at least 2 markers have to be visible in the video frame when initially creating the surface, and you cannot remove further markers from the surface definition when the marker count is down to 2.
-
-<div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require('../media/enrichments/marker_mapper_additional.png')"
-  width="80%" 
-  alt="A screenshot of the Marker Mapper enrichment on Pupil Cloud."
-  title="A screenshot of the Marker Mapper enrichment on Pupil Cloud" />
-</div>
-
-## Surface Coordinates
-The Marker Mapper maps gaze points to a 2D surface and returns them in surface coordinates. The top left corner of the surface is defined as `(0, 0)`, and the bottom right corner is defined as `(1, 1)`. The orientation of the surface can be set in the enrichment settings.
-
-The mapper may return values outside of the surface, which yields values smaller than 0 or larger than 1, indicating that the corresponding gaze was not on the surface at that time.
-
-::: danger
-<b>Orientation:</b>
-<br>
-The red border marks the top edge of the surface. You can rotate the surface by clicking on the "Rotate Surface" button.
-:::
\ No newline at end of file
diff --git a/src/enrichments/overview.md b/src/enrichments/overview.md
deleted file mode 100644
index 310c00adf..000000000
--- a/src/enrichments/overview.md
+++ /dev/null
@@ -1,82 +0,0 @@
----
-description: Explanation of all available enrichments including setup instructions.
-permalink: /enrichments
----
-
-# What are Enrichments? 
-Enrichments are tools that allow you to explore and visualize your data in new ways. These tools require complex algorithms and significant computational resources. Now, we put them at your fingertips, as you can run them with just a few clicks in Pupil Cloud. With enrichments, you can add new dimensions and derive new insights from your data. We can't wait to see how you use them!
-
-## What can I do with Enrichments?
-From mapping your gaze to real-world features of the environment, like surfaces, 3d objects, and faces, to aggregating and visualizing your data, enrichments can help you get the most out of your recordings. See below for a list of all available enrichments and their use cases.
-
-<div>
-    <div class="grid grid-cols-1 sm-grid-cols-2 md-grid-cols-3 lg-grid-cols-2 xl-grid-cols-3 gap-8">
-      <div v-for="(item, index) in enrichments">
-        <router-link
-          :key="index"
-          :to="item.to"
-        >
-          <v-img
-            class="rounded"
-            aspect-ratio="1.4"
-            style="margin-bottom:32px;"
-            :position="item.position"
-            :src="require(`../media/enrichments/${item.img}`)"
-          />
-          <p class="caption--1 font-weight-bold pb-3">{{ item.title }}</p>
-        </router-link>
-        <p class="caption--1">
-          {{ item.text }}
-        </p>
-      </div>
-    </div>
-</div>
-
-## Enrichment Sections
-Before you continue, note that all enrichments are defined based on a **start** and **end [event](/neon/basic-concepts/events)**. Those events are used to specify which sections of a recording an enrichment should be calculated on. The enrichment will be calculated on any recording in your project that contains the respective start and end events in the recording section between those two events.
-
-You can preview the results of most enrichments in the project editor by clicking on an enrichment section and playing the corresponding section of the recording. Every enrichment section has a unique ID, which is referenced in all enrichment exports.
-
-If a recording contains multiple instances of the start and end event, it will contribute multiple sections accordingly. You can use the auto-generated `recording.begin` and `recording.end` events to calculate enrichments on entire recordings.
-
-<script>
-export default {
-  data() {
-    return {
-      panel: null,
-      enrichments: [
-        {
-          title: "Reference image mapper",
-          to: "/enrichments/reference-image-mapper",
-          text: "Our markerless solution to map gaze data from the real world onto a reference image.",
-          img: "reference_image_mapper_header.png",
-        },
-        {
-          title: "Marker mapper",
-          to: "/enrichments/marker-mapper",
-          text: "Use apriltags to get your gaze onto a surface.",
-          img: "marker_mapper_header.png",
-        },
-        {
-          title: "Face mapper",
-          to: "/enrichments/face-mapper",
-          text: "Map gaze data to faces in the scene video.",
-          img: "face_mapper_header.png",
-        },
-        {
-          title: "Gaze overlay",
-          to: "/enrichments/gaze-overlay",
-          text: "Visualise your gaze on top of the scene video and undistort the scene video.",
-          img: "gaze_overlay_header.png",
-        },
-      ],
-    };
-  },
-}
-</script>
-
-
-
-
-
-
diff --git a/src/export-formats/enrichment-data/gaze-overlay.md b/src/export-formats/enrichment-data/gaze-overlay.md
deleted file mode 100644
index 216543752..000000000
--- a/src/export-formats/enrichment-data/gaze-overlay.md
+++ /dev/null
@@ -1,14 +0,0 @@
----
-permalink: /export-formats/enrichment-data/gaze-overlay
-description: Documentation of the exact export formats of Pupil Cloud.
----
-
-## Gaze Overlay
-
-#### Video Files
-The export will have one folder per original recording using the following naming scheme:
-```<recording name>-<start of recording ID>```
-
-Each folder contains gaze overlay videos of the sections belonging to the corresponding recordings. The video files are named
-```<beginning of section ID>_<start time>-<end time>.mp4```
-where the times are in seconds relative to the recording start.
\ No newline at end of file
diff --git a/src/export-formats/enrichment-data/overview.md b/src/export-formats/enrichment-data/overview.md
deleted file mode 100644
index 2e946eca7..000000000
--- a/src/export-formats/enrichment-data/overview.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-permalink: /export-formats/enrichment-data/
-description: Documentation of the export formats of Pupil Cloud enrichments.
----
-## Enrichment Exports
-
-To export the results of an enrichment, navigate to the "Downloads" view of your project.
-
-Select the enrichment type you are interested in to get detailed information about the export format.
-
-<div class="pb-4">
-  <v-btn
-    v-for="(item,index) in enrichmentExports"
-    :key="index"
-    outline
-    round
-    color="primary"
-    :to="item.link"
-    style="font-weight:normal;"
-  >
-    {{ item.title }}
-  </v-btn>
-</div>
-
-<script>
-export default {
-  data() {
-        return {
-            enrichmentExports: [
-                {
-                title: "Reference Image Mapper",
-                link: "/export-formats/enrichment-data/reference-image-mapper/",
-                },
-                {
-                title: "Marker Mapper",
-                link: "/export-formats/enrichment-data/marker-mapper/",
-                },
-                {
-                title: "Face Mapper",
-                link: "/export-formats/enrichment-data/face-mapper/",
-                },
-                {
-                title: "Gaze Overlay",
-                link: "/export-formats/enrichment-data/gaze-overlay/",
-                },
-            ],
-        };
-    },
-};
-</script>
diff --git a/src/export-formats/enrichment-data/reference-image-mapper.md b/src/export-formats/enrichment-data/reference-image-mapper.md
deleted file mode 100644
index 413331b99..000000000
--- a/src/export-formats/enrichment-data/reference-image-mapper.md
+++ /dev/null
@@ -1,40 +0,0 @@
----
-permalink: /export-formats/enrichment-data/reference-image-mapper
-description: Documentation of the exact export formats of Pupil Cloud.
----
-
-# Reference Image Mapper
-
-## gaze.csv
-This file contains all the mapped gaze data from all sections.
-
-
-| Field | Description | 
-| -------- | -------- | 
-| **section id** | Unique identifier of the corresponding section.     |
-| **recording id** | Unique identifier of the recording this sample belongs to.     |
-| **timestamp [ns]** | UTC timestamp in nanoseconds of the sample. Equal to the timestamp of the original gaze sample before mapping.     |
-| **gaze detected in reference image** | Boolean indicating whether or not the gaze point was detected inside or outside of the reference image.     |
-| **gaze position in reference image x [px]** | Float value representing the x-coordinate of the mapped gaze point in pixel coordinates. If the reference image was not detected in the scene at the given time this value is empty.     |
-| **gaze position in reference image y [px]** | Same as "gaze position in reference image x [px]" but for the y-coordinate.     |
-| **fixation id** | If this gaze sample belongs to a fixation event, this is the corresponding id of the fixation. Otherwise, this field is empty.     |
-| **blink id** | If this gaze samples belongs to a blink event, this is the corresponding id of the blink. Otherwise this field is empty.     |
-
-## fixations.csv
-This file contains fixation events detected in the gaze data stream and mapped to the reference image.
-
-
-| Field | Description | 
-| -------- | -------- | 
-| **section id** | Unique identifier of the corresponding section.     |
-| **recording id** | Unique identifier of the recording this sample belongs to.     |
-| **fixation id** | Identifier of fixation within the section. The id corresponds to the fixation id of the raw unmapped data.    |
-| **start timestamp [ns]** | UTC timestamp in nanoseconds of the start of the fixation.     |
-| **end timestamp [ns]** | UTC timestamp in nanoseconds of the end of the fixation.     |
-| **duration [ms]** | Duration of the fixation in milliseconds.     |
-| **fixation detected in reference image** | Boolean indicating whether or not the fixation was inside or outside of the reference image.    |
-| **fixation x [px]** | Float value representing the x-coordinate of the fixation in reference image coordinates. This position is the average of all mapped gaze samples within the fixation.     |
-| **fixation y [px]** | Same as "fixation x [px]" but for the y-coordinate.     |
-
-## Reference Image
-The reference image that was used for defining the enrichment. The file is named `reference_image.jpeg|png`.
\ No newline at end of file
diff --git a/src/export-formats/recording-data/invisible.md b/src/export-formats/recording-data/invisible.md
deleted file mode 100644
index 0580b9867..000000000
--- a/src/export-formats/recording-data/invisible.md
+++ /dev/null
@@ -1,132 +0,0 @@
----
-permalink: /export-formats/recording-data/invisible
-description: Documentation of the exact export formats of Pupil Cloud.
----
-
-# Pupil Invisible Recording Format
-
-## Recording Folders
-The export contains one folder per recording following this naming scheme:
-```<recording name>-<start of recording ID>```
-The files included in every folder are described in the following.
-
-## info.json
-This file contains meta-information on the recording.
-
-| Field | Description | 
-| -------- | -------- | 
-| **android_device_id** | Unique identifier of the Android device used as Invisible Companion.     |
-| **android_device_model** | Model name of the Companion device.     |
-| **android_device_name** | Device name of the Companion device.     |
-| **app_version** | Version of the Companion app used to make the recording. |
-| **calib_version** | Version of the offset correction used by the Companion app. |
-| **data_format_version** | Version of the data format used by the Companion app.     |
-| **duration** | Duration of the recording in nanoseconds|
-| **gaze_offset** | Gaze offset applied to this recording using the offset correction. Values are in pixels.|
-| **glasses_serial_number** | Serial number of the Pupil Invisible glasses used for the recording. |
-| **pipeline_version** | Version of the gaze estimation pipeline used by the Companion app. |
-| **recording_id** | Unique identifier of the recording. |
-| **scene_camera_serial_number** | Serial number of the scene camera used for the recording. |
-| **start_time** | Timestamp of when the recording was started. Given as UTC timestamp in nanoseconds. |
-| **template_data** | Data regarding the selected template for the recording as well as the response values. |
-| **wearer_id** | Unique identifier of the wearer selected for this recording. |
-| **wearer_name** | Name of the wearer selected for this recording. |
-
-**Scene Video**
-Scene video is contained in a file following the following naming scheme:
-```<beginning of section ID>_<section start time>-<section end time>.mp4```
-
-## scene_camera.json
-This file contains the camera intrinsics of the used scene camera. The values are determined via calibration of every camera during manufacturing.
-
-| Field | Description | 
-| -------- | -------- | 
-| **camera_matrix** | The camera matrix of the scene camera.     |
-| **dist_coefs** | The distortion coefficients of the scene camera. The order of the values is `(k1, k2, p1, p2, k3, k4, k5, k6)` following [OpenCV's distortion model](https://docs.opencv.org/4.x/d9/d0c/group__calib3d.html#ga3207604e4b1a1758aa66acb6ed5aa65d). |
-| **rotation_matrix** | Extrinsic rotation matrix describing how the scene camera is positioned in relation to the eye cameras. For more details please see section III-B of the [white paper](https://arxiv.org/pdf/2009.00508.pdf).     |
-| **serial_number** | The serial number of the scene camera. This number can also be found on the back of the scene camera module. Please note that this number is different from the serial number of the frame, which can be found on the tip of the left temple of the Pupil Invisible frame.     |
-| **version** | The version of the intrinsics data format.     |
-
-
-
-#### world_timestamps.csv
-This file contains the timestamps of every world video frame.
-
-| Field | Description | 
-| -------- | -------- | 
-| **section id** | Unique identifier of the corresponding section.     |
-| **recording id** | Unique identifier of the recording this sample belongs to.     |
-| **timestamp [ns]** | UTC timestamp in nanoseconds of the corresponding world frame. |
-
-
-## events.csv
-This file contains [event](/invisible/basic-concepts/events) data for all recordings. It contains both project event annotations and real-time recording events.
-
-| Field | Description | 
-| -------- | -------- | 
-| **recording id** | Unique identifier of the recording this event belongs to.     |
-| **timestamp [ns]** | UTC timestamp of the event. |
-| **name** | Name of the event.     |
-| **type** | Type of the event. Possible values: project, recording     |
-
-
-## gaze.csv
-This file contains [gaze](/invisible/basic-concepts/data-streams/#gaze) data in world camera coordinates.
-
-
-| Field | Description | 
-| -------- | -------- | 
-| **section id** | Unique identifier of the corresponding section.     |
-| **recording id** | Unique identifier of the recording this sample belongs to.     |
-| **timestamp [ns]** | UTC timestamp in nanoseconds of the sample. Equal to the timestamp of the original gaze sample before mapping.     |
-| **gaze x [px]** | Float value representing the x-coordinate of the mapped gaze point in world camera pixel coordinates.
-| **gaze y [px]** | Same as "gaze x [px]" but for the y-coordinate.     |
-| **worn** | This value indicates whether the Pupil Invisible Glasses have been worn by a subject at this point in time. `1.0` indicates that it has been worn, while `0.0` indicates that it has not been worn. Added in version 2 of this enrichment.    |
-| **fixation id** | If this gaze sample belongs to a fixation event, this is the corresponding id of the fixation. Otherwise, this field is empty.     |
-| **blink id** | If this gaze samples belongs to a blink event, this is the corresponding id of the blink. Otherwise this field is empty.     |
-| **azimuth [deg]** | The [azimuth](https://en.wikipedia.org/wiki/Horizontal_coordinate_system) of the gaze ray in relation to the scene camera in degrees.     |
-| **elevation [deg]** | The [elevation](https://en.wikipedia.org/wiki/Horizontal_coordinate_system) of the gaze ray in relation to the scene camera in degrees.     |
-
-
-## fixations.csv
-This file contains [fixations](/invisible/basic-concepts/data-streams/#fixations) detected in the gaze data stream.
-The corresponding gaze samples that belong to each fixation can be determined from the `gaze.csv` file using the `fixation id` field.
-
-
-| Field | Description | 
-| -------- | -------- | 
-| **section id** | Unique identifier of the corresponding section.     |
-| **recording id** | Unique identifier of the recording this sample belongs to.     |
-| **fixation id** | Identifier of the fixation. The counter starts at the beginning of the recording.     |
-| **start timestamp [ns]** | UTC timestamp in nanoseconds of the start of the fixation.     |
-| **end timestamp [ns]** | UTC timestamp in nanoseconds of the end of the fixation.     |
-| **duration [ms]** | Duration of the fixation in milliseconds.     |
-| **fixation x [px]** | Float value representing the x-coordinate of the fixation in world camera pixel coordinates. This position is the average of all gaze samples within the fixation.     |
-| **fixation y [px]** | Same as "fixation x [px]" but for the y-coordinate.     |
-
-## blinks.csv
-This file contains [blinks](/invisible/basic-concepts/data-streams/#blinks) detected in the eye video.
-The corresponding gaze samples that belong to each blink can be determined from the `gaze.csv` file using the `blink id` field.
-
-
-| Field | Description | 
-| -------- | -------- | 
-| **section id** | Unique identifier of the corresponding section.     |
-| **recording id** | Unique identifier of the recording this sample belongs to.     |
-| **blink id** | Identifier of the blink. The counter starts at the beginning of the recording.     |
-| **start timestamp [ns]** | UTC timestamp in nanoseconds of the start of the blink.     |
-| **end timestamp [ns]** | UTC timestamp in nanoseconds of the end of the blink.     |
-| **duration [ms]** | Duration of the blink in milliseconds.     |
-
-## imu.csv
-This file contains data recorded by the integrated [IMU](/invisible/basic-concepts/data-streams/#inertial-measurements) (inertial measurement unit).
-
-| Field | Description | 
-| -------- | -------- | 
-| **section id** | Unique identifier of the corresponding section.     |
-| **recording id** | Unique identifier of the recording this sample belongs to.     |
-| **timestamp [ns]** | UTC timestamp in nanoseconds of the sample.    |
-| **gyro x [deg/s]**<br />**gyro y [deg/s]**<br />**gyro z [deg/s]** | Rotation speed around x, y or z-axis respectively in degrees/s.    |
-| **acceleration x [G]**<br />**acceleration y [G]**<br />**acceleration z [G]** | Translational acceleration along the x, y or z-axis respectively in G. Note `1 G = 9.80665 m/s^2`.|
-| **roll** | Drift-free estimation of the roll (head tilt from side to side) in degrees. The output range is -180 to +180 degrees. Added in version 2 of this enrichment.    |
-| **pitch** | Drift-free estimation of the pitch (head tilt from front to back) in degrees. The output range is -180 to +180 degrees. Added in version 2 of this enrichment. |
\ No newline at end of file
diff --git a/src/invisible/README.md b/src/invisible/README.md
deleted file mode 100644
index 6f4a0387c..000000000
--- a/src/invisible/README.md
+++ /dev/null
@@ -1,272 +0,0 @@
----
-description: Pupil Invisible and Pupil Cloud documentation ranging from getting started guides to explanations of advanced concepts, how-to guides, and references on export formats and APIs.
----
-
-# Pupil Invisible & Cloud Documentation
-
-Welcome to the Pupil Invisible & Pupil Cloud docs! In this section of the docs you will learn everything there is to learn about the Pupil Invisible ecosystem. Start by making your first recording and proceed all the way to implementing advanced applications. Everything you need is here.
-
-## Getting Started
-
-This section is for new users who want to get to grips with the tools. Working through the tutorials will put you in a great position to follow along with the rest of the documentation and get started with your project.
-
-<div>
-  <div class="grid grid-cols-1 sm-grid-cols-2 md-grid-cols-3 lg-grid-cols-2 xl-grid-cols-3 gap-8">
-    <div v-for="(item,idxgS) in gettingStarted">
-      <v-img class="rounded" style="margin-bottom:32px;" :src="require(`../media/invisible/overview-${idxgS + 1}.jpg`)"></v-img>
-      <p class="caption--1 font-weight-bold pb-3">{{ item.title }}</p>
-      <p class="caption--1">
-        {{ item.text }}
-      </p>
-    </div>
-  </div>
-</div>
-
-<router-link class="underline" to="/invisible/getting-started/first-recording.html">View more</router-link>
-
-<v-divider />
-
-## Basic Concepts
-
-This section explains all relevant concepts in detail and provides background information on how everything works. If you want to understand a certain aspect in detail, check out the respective section here.
-
-<div class="pb-4">
-  <v-btn
-    v-for="(item,idxbC) in basicConcepts"
-    :key="idxbC"
-    outline
-    round
-    color="primary"
-    :to="item.link"
-    style="font-weight:normal;"
-  >
-    {{ item.title }}
-  </v-btn>
-</div>
-
-<router-link class="underline" to="/invisible/basic-concepts/data-streams/">View more</router-link>
-
-<v-divider />
-
-## Glasses & Companion
-
-This section gives an overview of the Pupil Invisible glasses, as well as of the Companion device and app. It also contains guides on how to handle the glasses, e.g. to exchange the lenses.
-
-<div class="pb-4">
-  <v-btn
-    v-for="(item,idxgC) in glassesAndCompanion"
-    :key="idxgC"
-    outline
-    round
-    color="primary"
-    :to="item.link"
-    style="font-weight:normal;"
-  >
-    {{ item.title }}
-  </v-btn>
-</div>
-
-<router-link class="underline" to="/invisible/glasses-and-companion/technical-overview/">View more</router-link>
-
-<v-divider />
-
-## Enrichments
-
-This section explains all the enrichments available in Pupil Cloud and guides you through using them successfully.
-
-<div class="pb-4">
-  <v-btn
-    v-for="(item,idxEnrich) in enrichments"
-    :key="idxEnrich"
-    outline
-    round
-    color="primary"
-    :to="item.link"
-    style="font-weight:normal;"
-  >
-    {{ item.title }}
-  </v-btn>
-</div>
-
-<router-link class="underline" to="/enrichments/">View more</router-link>
-
-<v-divider />
-
-## How-Tos
-
-This section contains a range of how-tos that address specific topics and challenges.
-
-Some highlights:
-
-<div class="howto-container">
-  <v-expansion-panel v-model="panelHowTo">
-    <v-expansion-panel-content
-      v-for="(item, idxHowTo) in panelContent"
-      :key="idxHowTo"
-      hide-actions
-    >
-      <template v-slot:header>
-        <div class="flex">
-          <div style="width:16px;margin-right:8px">{{ panelHowTo === idxHowTo ? '-' : '+' }}</div>
-          <span>{{ item.title }}</span>
-        </div>
-      </template>
-      <v-card>
-        <v-card-text class="pt-0 pl-5">
-          <div class="pb-2">
-            {{ item.text }}
-          </div>
-          <router-link class="underline" :to="item.link">Read more</router-link>
-        </v-card-text>
-      </v-card>
-    </v-expansion-panel-content>
-  </v-expansion-panel>
-</div>
-
-<v-divider />
-
-## Real-Time API
-
-The real-time API allows you to stream gaze data and scene video to any device connected to the same local network. Further, you can control all devices remotely to start and stop recordings or save events.
-
-This section contains a range of guides introducing the real-time API and common use cases of it.
-
-<div class="howto-container">
-  <v-expansion-panel v-model="panelRealTimeApi">
-    <v-expansion-panel-content
-      v-for="(item, idxApi) in realTimeAPI"
-      :key="idxApi"
-      hide-actions
-    >
-      <template v-slot:header>
-        <div class="flex">
-          <div style="width:16px;margin-right:8px">{{ panelRealTimeApi === idxApi ? '-' : '+' }}</div>
-          <span>{{ item.title }}</span>
-        </div>
-      </template>
-      <v-card>
-        <v-card-text class="pt-0 pl-5">
-          <div class="pb-2">
-            {{ item.text }}
-          </div>
-          <router-link class="underline" :to="item.link">Read more</router-link>
-        </v-card-text>
-      </v-card>
-    </v-expansion-panel-content>
-  </v-expansion-panel>
-</div>
-
-<v-divider />
-
-## Export Formats
-
-This section is where you will find references for [export formats](/export-formats/recording-data/invisible), which you can consult when working with any data coming out of Pupil Cloud.
-
-<router-link class="underline" to="/export-formats/recording-data/invisible">Jump to section</router-link>
-
-<v-divider />
-
-## Troubleshooting
-
-Having trouble with Pupil Invisible or Pupil Cloud? We have collected the most common issues you may run into together with solutions in [this](/invisible/troubleshooting) section.
-
-<router-link class="underline" to="/invisible/troubleshooting">Jump to section</router-link>
-
-<script>
-export default {
-  data() {
-    return {
-      panelHowTo: null,
-      panelRealTimeApi: null,
-      gettingStarted: [
-        {
-          title: "Make Your First Recording",
-          text: "Using your Pupil Invisible eye tracking system for the first time? Follow these steps to make your first recording!",
-        },
-        {
-          title: "Understand The Ecosystem",
-          text: "The Pupil Invisible ecosystem contains a range of tools that support you during data collection and data analysis. Learn more about all the tools available to power your eye tracking research!",
-        },
-        {
-          title: "Analyse Recordings in Pupil Cloud",
-          text: "This guide shows you how to go from newly uploaded Pupil Invisible recordings to enriched data ready for analysis and download using Pupil Cloud.",
-        }
-      ],
-      panelContent: [
-        {
-          title: "Monitor your Data Collection in Real-Time",
-          text: "All data generated by Pupil Invisible can be monitored in real-time using the Pupil Invisible Monitor app. To access the app simply visit pi.local in your browser while being connected to the same WiFi network as your Companion Device.",
-          link: "/invisible/how-tos/data-collection-with-the-companion-app/monitor-your-data-collection-in-real-time.html",
-        },
-        {
-          title: "Sync with External Sensors",
-          text: "Many experimental setups record data from multiple sensors in parallel. This data needs to be synced temporally for a joint analysis. This guide explains how to achieve that!",
-          link: "/invisible/how-tos/advanced-analysis/syncing-sensors/",
-        },
-      ],
-      realTimeAPI: [
-        {
-          title: "Introduction",
-          text: "Get started using the real-time API here! This guide shows you how to get things running and what the available API calls are.",
-          link: "/invisible/real-time-api/introduction/",
-        },
-        {
-          title: "Track your Experiment Progress using Events",
-          text: "Running a data collection for an experiment can be an organizational challenge. Using events, tracking the progress of an experiment becomes very easy and can often be fully automated though. Follow this guide to see how!",
-          link: "/invisible/real-time-api/track-your-experiment-progress-using-events/",
-        },
-      ],
-      basicConcepts: [
-        {
-          title: "Gaze",
-          link: "/invisible/basic-concepts/data-streams/#gaze",
-        },
-        {
-          title: "Fixations",
-          link: "/invisible/basic-concepts/data-streams/#fixations",
-        },
-        {
-          title: "Wearers",
-          link: "/invisible/basic-concepts/recordings-wearers-and-templates/#wearers",
-        },
-        {
-          title: "Templates",
-          link: "/invisible/basic-concepts/recordings-wearers-and-templates/#templates",
-        },
-      ],
-      glassesAndCompanion: [
-        {
-          title: "Technical Overview",
-          link: "/invisible/glasses-and-companion/technical-overview/",
-        },
-        {
-          title: "Companion Device",
-          link: "/invisible/glasses-and-companion/companion-device/",
-        },
-        {
-          title: "Exchanging Lenses",
-          link: "/invisible/glasses-and-companion/hardware-handling/exchange-lenses/",
-        },
-      ],
-      enrichments: [
-        {
-          title: "Reference Image Mapper",
-          link: "/enrichments/reference-image-mapper/",
-        },
-        {
-          title: "Marker Mapper",
-          link: "/enrichments/marker-mapper/",
-        },
-        {
-          title: "Face Mapper",
-          link: "/enrichments/face-mapper/",
-        },
-        {
-          title: "Gaze Overlay",
-          link: "/enrichments/gaze-overlay/",
-        },
-      ],
-    };
-  },
-}
-</script>
diff --git a/src/invisible/basic-concepts/events.md b/src/invisible/basic-concepts/events.md
deleted file mode 100644
index 62050fe70..000000000
--- a/src/invisible/basic-concepts/events.md
+++ /dev/null
@@ -1,15 +0,0 @@
----
-permalink: /invisible/basic-concepts/events
-description: Introduction to events and their usage in Pupil Cloud.
----
-
-# Events
-You can annotate relevant points in time in your recordings using **Events**. An event is essentially a timestamp in a recording with an assigned name. You can use events to filter your data temporally to the sections that interest you. 
-
-You may for example want to mark when a certain stimulus became visible and disappeared again with events called `stimulus_start` and `stimulus_end`. Using those, you can filter your data to only consider samples for which the stimulus was present.
-
-Events can also be used for the definition of [enrichments](/enrichments) to indicate what sections of your recordings they should be calculated on.
-
-You can add events to your recordings post hoc in Pupil Cloud, or you can create them at recording time using the [real-time API](/neon/real-time-api/introduction).
-
-Existing events can be downloaded as part of the respective recording downloads.
\ No newline at end of file
diff --git a/src/invisible/basic-concepts/projects-and-workspaces.md b/src/invisible/basic-concepts/projects-and-workspaces.md
deleted file mode 100644
index 6167be790..000000000
--- a/src/invisible/basic-concepts/projects-and-workspaces.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-permalink: /invisible/basic-concepts/projects-and-workspaces
-description: Introduction to projects and workspaces, and their usage in Pupil Cloud.
----
-
-# Projects & Workspaces
-To keep your data organized, Pupil Cloud offers a few different organizational constructs. Most importantly there are projects and workspaces, which are introduced below.
-
-## Projects
-A project is a set of recordings that is grouped for joined processing and analysis. You create projects from the Recordings view in Drive by selecting one or more recordings and clicking "create project from recording". You can also add projects to existing recordings.
-
-Within a project, you can annotate recordings with events and create [enrichments](/enrichments) to power your analysis.
-
-## Workspaces
-Workspaces are large containers for your data and enable you to share data in Pupil Cloud with your collaborators. All data in Pupil Cloud is part of a workspace and the workspace owner can control access to it. A workspace can contain multiple projects. All recordings, wearers, templates, labels, and enrichments are isolated within a workspace and can not exist in another workspace at the same time.
-
-### Access Control
-Only accounts that have been invited to become members of a workspace are granted access to the data in a workspace. For more fine-grained control of what each member is allowed to do, they can be assigned different roles:
-
-- **Viewer**: This role can view all data, but they are not allowed to edit anything. For example, a viewer can download data, playback recordings, and view heatmaps. A viewer can not delete any data, create projects, or start compute jobs.
-- **Editor**: This role has full read and edit access to all data in the workspace, which includes the ability to create enrichments, start compute jobs and delete data.
-- **Admin**: Has all permissions of an editor and additionally can invite and remove workspace members and change workspace members' roles.
-- **Owner**: The owner of a workspace is the one who initially created the workspace. Owners have all permissions of an Admin. The owner of a workspace can not be changed.
-
-Public sharing of data with people outside of a workspace is **not** currently possible.
-
-### Frequently Asked Questions
-
-**When should I use workspaces?**
-
-Workspaces can have many uses. Typical ones include:
-- **Projects or Studies**: Use workspaces to collect projects with a similar theme, "Sport Training" for example. Then every project within the workspace can be used to catalog recordings of different sports, like "Golf Putting", "Archery", "Basketball Free Throw". This ensures data is cleanly separated.
-- **Teams**: If you are a member of multiple teams or organizations, you can use multiple workspaces to control what data you are sharing with whom.
-- **Clients**: If you are working with clients, you can use multiple workspaces to keep data separated and to control which collaborator should have access to which client’s data.
- 
-**Is there a limit to the number of workspaces I can create?**
-
-No, you can create as many workspaces as you want!
-
-**Can I move recordings between workspaces?**
-
-No, currently this is not possible.
-
-**Can the ownership of a workspace be transferred?**
-
-This is not currently possible in the app. Please make a request if this is needed via email to `info@pupil-labs.com`.
-
-### Demo Workspace
-
-Every user of Pupil Cloud has access to the [Demo Workspace](https://cloud.pupil-labs.com/workspace/78cddeee-772e-4e54-9963-1cc2f62825f9). It contains example projects that can be explored to understand all the features of Pupil Cloud and see them in the context of actual projects. Over time, we will add more projects that illustrate additional features and use-cases.
-
-The existing projects in the demo workspace can not be edited. However, you can create new projects using the existing recordings and within those you can create enrichments and events, and play around with all the features as you like. Things you create and edit in the demo workspace are only visible to you and nobody else.
-
-You can not upload your own recordings to the demo workspace. You can delete all the things you have created, but non of the pre-existing projects or recordings.
diff --git a/src/invisible/basic-concepts/recordings-wearers-and-templates.md b/src/invisible/basic-concepts/recordings-wearers-and-templates.md
deleted file mode 100644
index 00e449ab3..000000000
--- a/src/invisible/basic-concepts/recordings-wearers-and-templates.md
+++ /dev/null
@@ -1,65 +0,0 @@
----
-permalink: /invisible/basic-concepts/recordings-wearers-and-templates
-description: Introduction to recordings, wearers and templates, and their usage in Pupil Cloud.
----
-
-# Recordings, Wearers & Templates
-There are a number of organizational constructs we use to make working with our tools flexible and reliable:
-
-A [recording](/invisible/basic-concepts/recordings-wearers-and-templates/#recordings) is made each time you press record in the Invisible Companion app. Each recording has a [wearer](/invisible/basic-concepts/recordings-wearers-and-templates/#wearers) and a [template](/invisible/basic-concepts/recordings-wearers-and-templates/#templates) associated with it. Once uploaded to Pupil Cloud you can add recordings to [projects](/invisible/basic-concepts/projects-and-workspaces/#projects), this creates a context for you to add [enrichments](/enrichments) to aggregate and analyse your data.
-
-Finally, [workspaces](/invisible/basic-concepts/projects-and-workspaces/#workspaces) are used to keep recordings, wearers, templates, and projects organized and isolated so you can share them with clients and collaborators.
-
-
-## Recordings
-A recording starts and stops when you press the red record button in Pupil Invisible Companion App. While this should feel similar to recording a video, there is a lot more happening behind the scenes. When you are recording with Pupil Invisible Companion App, you are capturing not only video data but several more sensors (see [Data Streams](/invisible/basic-concepts/data-streams)).
-
-Recordings are designed to be as robust as possible. If at any point a sensor is disconnected during a recording, it will automatically start capturing again as soon as it is reconnected. You could start a recording with no Pupil Invisible glasses connected and plug them in at a later time. As soon as they are connected, data will be captured.
-
-The Pupil Invisible Companion App has several more features to ensure a robust data collection and will e.g. warn you in case the Companion device's battery is running low or if you run out of storage space.
-
-## Wearers
-Wearers are the people wearing your Pupil Invisible glasses. In a typical study, each subject would be a wearer. Every recording you make is assigned to a wearer to help you organize your recordings. You can create new wearers on the fly in the Pupil Invisible Companion App or in advance in Pupil Cloud.
-
-Every wearer is assigned a unique ID, such that you can edit the name and profile picture at any time without mixing up your recordings.
-
-In some cases, it can make sense to use the offset correction feature to compensate for systematic offsets in the predictions of individual wearers. To access this feature click on the name of the currently selected wearer on the home screen and then click "Adjust". The offset you set will be saved in the wearer profile and applied to future recordings of this subject automatically.
-
-
-## Templates
-Templates are used to add meta-data to a recording (e.g. age, gender, or location). They are forms that can be filled out at recording time to document important information for your study. The responses will be saved alongside the recording. Further, templates define a naming scheme for recordings. If, for example, you add a field for the `Experiment Name` to the form, you can set this value to be added to your recording names automatically. This is useful if you have a pre-defined structure for your study.
-
-### Form for Meta-Data
-You can create new templates in Pupil Cloud and customize them to your use case. You can add as many form fields as you want, including text fields and multiple-choice fields.
-
-You can set individual fields of the template to be "required", such that a recording can not be stopped before filling out those fields.
-
-Before your templates become available for selection in the Pupil Invisible Companion app, you need to **publish** them. After they are published, they can no longer be edited to ensure consistency between responses.
-
-Some example use-cases for template forms include:
-
-- **Questionnaire**: During the recording of a scientific study participating subjects are often asked to fill out a questionnaire to capture e.g. demographic data. You can simply create a template for your questionnaire so your subjects can fill out the questionnaire on the Companion Device. All questionnaire answers will be saved alongside the recording data associated with the according wearer.
-- **Recording Structure**: If your recording schedule has a known structure, e.g. different recording phases or one recording per week, you can set up a template to note down the respective phase or week for each recording.
-- **Documenting the unplanned**: Data collection does not always go as planned. Sometimes a subject did not quite understand the instructions and sometimes something went wrong in the experiment workflow. Using templates you can immediately note down what happened and flag recordings that will require further inspection. This will be saved as part of the recording, so you do not have to keep a separate list of notes.
-
-### Naming Scheme for Recordings 
-The only required field when creating a new template is the `Recording Name`, which determines the naming scheme of your recordings. Any text you type in this field will be included in the recording names. You can add form fields to the `Recording Name` as well, to include the corresponding values entered at recording time to the recording name. Additionally, you can add the following pre-defined elements to the name:
-
-- **template_name**: The name of this template.
-- **wearer_name**: The name of the current wearer.
-- **date**: The date of recording. Format `YYYY-MM-DD`.
-- **time**: The recording start time. Format `HH:mm:ss`.
-- **uuid**: The unique ID of the recording. Format `uuidv4`.
-
-#### Example
-The below template definition is an example for a data collection called `Museum Study`. This collection is happening with several subjects in multiple sessions. We can track which subject a recording was made with using the associated wearer profile. To track what session a recording belongs to, we have a multiple-choice form field in the template.
-
-In the `Recording Name` field of the template, we defined a naming scheme that conveniently summarizes the recording in the context of this study. It uses a mix of custom text (the gray "chips"), the wearer name, and the multiple-choice form field about the session (which has the form field ID `2255e141`). This scheme will create names like `Museum Study - Jane - Session 2`.
-
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/explainers/template-naming-example.png')"
-    max-width=100%
-  >
-  </v-img>
-</div>
diff --git a/src/invisible/getting-started/analyse-recordings-in-pupil-cloud.md b/src/invisible/getting-started/analyse-recordings-in-pupil-cloud.md
deleted file mode 100644
index 12c0fdb9e..000000000
--- a/src/invisible/getting-started/analyse-recordings-in-pupil-cloud.md
+++ /dev/null
@@ -1,11 +0,0 @@
----
-permalink: /invisible/getting-started/analyse-recordings-in-pupil-cloud
-description: Beginner guide to using Pupil Cloud to manage and analyze recordings.
----
-
-# Analyse Recordings in Pupil Cloud
-New to Pupil Cloud? You’re in the right place.
-
-Watch our video introduction below to learn the basics!
-
-<Youtube src="VUeawlmm16Q"/>
\ No newline at end of file
diff --git a/src/invisible/getting-started/understand-the-ecosystem.md b/src/invisible/getting-started/understand-the-ecosystem.md
deleted file mode 100644
index ffd5e5b16..000000000
--- a/src/invisible/getting-started/understand-the-ecosystem.md
+++ /dev/null
@@ -1,78 +0,0 @@
----
-permalink: /invisible/getting-started/understand-the-ecosystem
-description: Overview article on the Pupil Invisible ecosystem introducing available software components.
----
-
-# Understand the Ecosystem
-The Pupil Invisible ecosystem contains a range of tools that support you during data collection and data analysis. This overview introduces all the key components so you can become familiar with all tools at your disposal.
-
-## Pupil Invisible Companion app and Glasses
-You should have already used the Pupil Invisible Companion app to [make your first recording](/invisible/getting-started/first-recording.html). This app is the core of every Pupil Invisible data collection.
-
-When your glasses are connected to the Companion device, it supplies them with power and the app calculates a real-time gaze signal. When making a recording, all generated data is saved on the Companion device.
-
-The app automatically saves [UTC timestamps](https://en.wikipedia.org/wiki/Coordinated_Universal_Time) for every generated data sample. This allows you to easily sync your data with other 3rd party sensors, or to sync recordings from multiple subjects that have been made in parallel.
-
-
-## Pupil Cloud
-Pupil Cloud is our web based storage and analysis platform located at [cloud.pupil-labs.com](https://cloud.pupil-labs.com/). It is the recommended tool for handling your Pupil Invisible recordings.
-It makes it easy to store all your data securely in one place and it offers a variety of options for analysis.
-
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    :src="require('../../media/invisible/getting-started/pi-ecosystem.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
-
-Once a recording is uploaded to Pupil Cloud the processing pipeline begins adding several additional low-level data streams to it - including the 200 Hz gaze signal and fixation data. Some of this data (e.g. the 200 Hz gaze signal) is not available outside of Pupil Cloud.
-
-From here, you can either download the raw data in a convenient format or use some of the available analysis algorithms to extract additional information from the data. For example, use the [Face Mapper](/enrichments/face-mapper) to automatically track when subjects are looking at faces. Or use the [Reference Image Mapper](/enrichments/reference-image-mapper) to track when subjects are looking at objects of interest represented by a reference image.
-
-We have a strict [privacy policy](https://pupil-labs.com/legal/) that ensures your recording data is accessible only by you and those you explicitly grant access to. Pupil Labs will never access your recording data unless you explicitly instruct us to. If needed, additional privacy features are available that limit what data is stored in Pupil Cloud, like disabling scene video upload or blurring faces in the scene video (coming soon!).
-
-If Cloud upload is enabled in the Pupil Invisible Companion app, then recordings will be uploaded automatically to Pupil Cloud. No additional effort is required for data logistics.
-
-
-## Pupil Player
-If you can't use Pupil Cloud, you can transfer recordings directly from the phone to a computer using a USB cable (see [Transfer recordings via USB](/invisible/how-tos/data-collection-with-the-companion-app/transfer-recordings-via-usb.html)). Recordings are saved in a binary format on the phone, which is not easily human-readable. We thus recommend exporting recordings to more convenient formats using Pupil Player.
-
-Pupil Player is open source software that was initially developed for the Pupil Core eye tracking headset. Pupil Player is designed to work with one recording at a time. Use it to playback Pupil Invisible recordings, export to CSV, and for available analysis features.  
-
-Detailed documentation on Pupil Player is available [here](/core/software/pupil-player).
-
-<DownloadLinks/>
-
-::: tip
-Note that without uploading to Pupil Cloud, the 200 Hz gaze signal is not available in a recording. Instead, only the real-time gaze signal computed by the phone is available, which is limited to ~120 Hz (using a OnePlus 8 phone).
-:::
-
-
-## Pupil Invisible Monitor
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../media/invisible/getting-started/pi-monitor-app.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
-
-All data generated by Pupil Invisible can be monitored in real-time using the Pupil Invisible Monitor app. To access the app simply visit [pi.local:8080](http://pi.local:8080) in your browser while being connected to the same WiFi network as the Companion device.
-
-The real-time streaming app enables you to monitor and control a recording session remotely without having to directly interact with the Companion device carried by the subject. You can view the scene video and gaze data remotely in your browser. You can also start and stop recordings and annotate important moments in time with [events](/invisible/basic-concepts/events). All data will be saved with the recording on the Companion device.
-
-## Real-Time API
-All data generated by Pupil Invisible is accessible to developers in real-time via our **Real-Time API**. Similar to the Pupil Invisible Monitor app, it allows you to stream data, remotely start/stop recordings and save events. The only requirement is that the Companion device and the computer using the API are connected to the same WiFi network.
-
-This enables you to implement Human Computer Interaction (HCI) applications with Pupil Invisible or to streamline your experiments by remotely controlling your devices and saving events automatically.
-
-Check-out out our [real-time API tutorial](/invisible/real-time-api/introduction/) to learn more!
-
-For a concrete usage examples, see [Track your Experiment Progress using Events](/invisible/real-time-api/track-your-experiment-progress-using-events/)!
-
-
-## 3rd Party Integrations
-A range of software integrations are available for Pupil Invisible recordings, including compatibility with e.g. [iMotions](https://imotions.com/) and [Blickshift](https://www.blickshift.com/?lang=de) software. You can find a full list of official partners [here](https://pupil-labs.com/partners-resellers/). 
-
-Further, there are many open-source projects available built by the community. Join our [Discord](https://pupil-labs.com/chat) server and ask people to point you in the right direction for your project!
diff --git a/src/invisible/glasses-and-companion/hardware-handling/clean-and-disinfect.md b/src/invisible/glasses-and-companion/hardware-handling/clean-and-disinfect.md
deleted file mode 100644
index 4fb3d06f7..000000000
--- a/src/invisible/glasses-and-companion/hardware-handling/clean-and-disinfect.md
+++ /dev/null
@@ -1,19 +0,0 @@
----
-permalink: /invisible/glasses-and-companion/hardware-handling/clean-and-disinfect
-description: How-To guide on cleaning and disinfecting Pupil Invisible glasses.
----
-
-# Clean and Disinfect
-
-Pupil Invisible Glasses contain cameras and sensitive electronic components, do not rinse or wet-clean.
-
-- Glasses lenses can be cleaned with the provided microfiber cloth.
-- Scene camera and eye camera lenses can be carefully cleaned with the provided microfiber cloth if dust is visible.
-- The nose pads can be cleaned with an alcohol-based disinfectant applied on a damp cloth
-
-### Disinfecting Frames
-All Pupil Invisible eye tracking glasses are cleaned with a disinfectant before shipping. You may want to disinfect the frames between uses.
-
-The disinfectant we use is made from 22.0g Ethanol, 21.0g 2-Propanol, 8.0g 1-Propanol per 100 grams of solution. One such brand name that we use is "Vibasept". We use the wetted towelettes (wipes). Similar products should be available globally under different brand names.
-
-Pupil Invisible is not water-resistant. When cleaning, be careful around the eye cameras, world camera, and USB connection. Liquid from disinfectant might damage sensitive electronics inside the frame.
\ No newline at end of file
diff --git a/src/invisible/how-tos/advanced-analysis/intrinsics/.gitignore b/src/invisible/how-tos/advanced-analysis/intrinsics/.gitignore
deleted file mode 100644
index 6859cd418..000000000
--- a/src/invisible/how-tos/advanced-analysis/intrinsics/.gitignore
+++ /dev/null
@@ -1,2 +0,0 @@
-README.md
-data/demo_recording/*
\ No newline at end of file
diff --git a/src/invisible/how-tos/advanced-analysis/intrinsics/README.ipynb b/src/invisible/how-tos/advanced-analysis/intrinsics/README.ipynb
deleted file mode 100644
index 4b8bba88e..000000000
--- a/src/invisible/how-tos/advanced-analysis/intrinsics/README.ipynb
+++ /dev/null
@@ -1,322 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "permalink: /invisible/how-tos/advanced-analysis/intrinsics/\n",
-    "description: Use camera intrinsics to undistort video and gaze data\n",
-    "isNotebook: true\n",
-    "---\n",
-    "\n",
-    "# Use Camera Intrinsics to Undistort Video and Gaze Data\n",
-    "Pupil Invisible's scene camera has a very large field of view and is affected by lens distortion accordingly. Every scene camera is calibrated during manufacturing to obtain it's \"intrinsic values\" though, which allows us to remove the distortion if desired.\n",
-    "\n",
-    "In this guide you will learn how to use the intrinsic values to apply undistortion to the scene video and gaze data using OpenCV.\n",
-    "\n",
-    "<div class=\"pb-4\">\n",
-    "  <img width=\"100%\" height=\"auto\" src=\"../../../../media/invisible/how-tos/cloud_gaze_overlay_undistorted.jpeg\" alt=\"An example of undistortion\">\n",
-    "</div>\n",
-    "\n",
-    "### Dependencies for this How-To\n",
-    "\n",
-    "In order to run the code in this How-To, you will need to install the following Python dependencies:\n",
-    "\n",
-    "```\n",
-    "pip install av matplotlib numpy opencv-python pandas requests tqdm\n",
-    "```\n",
-    "\n",
-    "You can download all the code of this guide [here](https://github.com/pupil-labs/pupil-docs/blob/master/src/invisible/how-tos/advanced-analysis/intrinsics/).\n",
-    "\n",
-    "We will use the `Anna_Standing_Downstairs` recording from the [demo workspace](https://cloud.pupil-labs.com/workspace/78cddeee-772e-4e54-9963-1cc2f62825f9/recordings) as an example for this guide. If you want to follow along, download it and unpack it in the `data/demo_recording` folder next to the code.\n",
-    "\n",
-    "\n",
-    "### Obtaining Camera Intrinsic Values\n",
-    "You can find the intrinsic values of the scene camera in the `scene_camera.json` file, which is included in every recording folder you download from Pupil Cloud. This also holds true for the demo recording! We can read the camera matrix and the distortion coefficients, which make up the camera intrinsics, as follows."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Camera Matrix:\n",
-      "[[765.46908275   0.         567.09545418]\n",
-      " [  0.         765.26730808 545.31770941]\n",
-      " [  0.           0.           1.        ]]\n",
-      "Distortion Coefficients:\n",
-      "[[-0.12591202  0.10118179  0.00068196 -0.00048156  0.0189529   0.2053599\n",
-      "   0.00745978  0.06701928]]\n"
-     ]
-    }
-   ],
-   "source": [
-    "import json\n",
-    "with open(\"data/demo_recording/anna_standing_downstairs-b1eafeee/scene_camera.json\", \"r\") as f:\n",
-    "  data = json.load(f)\n",
-    "\n",
-    "camera_matrix = np.array(data[\"camera_matrix\"])\n",
-    "dist_coeffs = np.array(data[\"dist_coefs\"])\n",
-    "\n",
-    "print(\"Camera Matrix:\")\n",
-    "print(camera_matrix)\n",
-    "print(\"Distortion Coefficients:\")\n",
-    "print(dist_coeffs)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Undistorting Images and Points\n",
-    "With the camera matrix and distortion coefficients available, we are now able to undistort images and points. If we want to undistort the scene camera video, it is critical that we undistort the gaze data as well. The gaze data is in scene camera coordinates and if we warp the scene camera images via undistortion, the gaze would otherwise no longer be accurate.\n",
-    "\n",
-    "For simplicity, we will first undistort only a single image and a few artificial example points. Afterwards, we will go through an example of undistorting and entire Pupil Invisible recording.\n",
-    "\n",
-    "The original distorted data looks as follows. Note that some lines that are straight in real life appear slightly curved in the image due to the distortion. For example the rail of the lamp, or the edges of the paintings."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 720x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import cv2\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "\n",
-    "img = cv2.imread(\"data/example_frame.png\")\n",
-    "\n",
-    "example_points = np.array(\n",
-    "    [\n",
-    "        (100.0, 100.0),\n",
-    "        (800.0, 200.0),\n",
-    "        (200.0, 500.0),\n",
-    "        (900.0, 900.0),\n",
-    "    ]\n",
-    ")\n",
-    "\n",
-    "# Plot the original distorted version\n",
-    "plt.figure(figsize=(10, 10))\n",
-    "# Convert color space for plotting with matplotlib\n",
-    "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
-    "plt.imshow(img)\n",
-    "plt.scatter(example_points[:, 0], example_points[:, 1], color=\"orange\", s=80)\n",
-    "plt.title(\"Original Image - Still Distorted\")\n",
-    "plt.axis(\"off\");\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can now use OpenCV to undistort the image and example points. Note, how all straight lines appear straight in the undistorted image. Also, the image is slightly cropped, e.g. the rail of the lamp is no longer in the image and the top left example point is outside of the image now."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 720x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "img_undist = cv2.undistort(img, camera_matrix, dist_coeffs)\n",
-    "\n",
-    "example_points_undist = cv2.undistortPoints(\n",
-    "    example_points.reshape(-1, 2), camera_matrix, dist_coeffs, P=camera_matrix\n",
-    ")\n",
-    "example_points_undist = example_points_undist.reshape(-1, 2)\n",
-    "\n",
-    "# Plot the undistorted version\n",
-    "plt.figure(figsize=(10, 10))\n",
-    "plt.imshow(img_undist)\n",
-    "plt.scatter(\n",
-    "    example_points_undist[:, 0], example_points_undist[:, 1], color=\"orange\", s=80\n",
-    ")\n",
-    "plt.title(\"Undistorted Image and Points\")\n",
-    "plt.axis(\"off\");\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Undistort a full Recording\n",
-    "To undistort a full recording we simply need to apply the undistortion to every video frame and all gaze data. This requires additional code to handle the video correctly, but the undistortion works just the same.\n",
-    "\n",
-    "Note, that we are using PyAV to handle the video rather than OpenCV. Handling videos with OpenCV often has issues and PyAV additionally allows us to correctly handle the audio track of the video, if there is one."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pathlib\n",
-    "\n",
-    "import av\n",
-    "from tqdm import tqdm\n",
-    "import pandas as pd\n",
-    "\n",
-    "\n",
-    "def undistort_video(\n",
-    "    original_video_path, undistorted_video_path\n",
-    "):\n",
-    "    timestamps_path = pathlib.Path(original_video_path).with_name(\n",
-    "        \"world_timestamps.csv\"\n",
-    "    )\n",
-    "    num_frames = pd.read_csv(timestamps_path).shape[0]\n",
-    "    original_container = av.open(str(original_video_path))\n",
-    "    original_video_stream = original_container.streams.video[0]\n",
-    "\n",
-    "    undistorted_container = av.open(str(undistorted_video_path), \"w\")\n",
-    "\n",
-    "    try:\n",
-    "        undistorted_video = undistorted_container.add_stream(\"h264_nvenc\")\n",
-    "    except Exception as e:\n",
-    "        print(\"nvenc not available\", e)\n",
-    "        undistorted_video = undistorted_container.add_stream(\"h264\")\n",
-    "\n",
-    "    undistorted_video.options[\"bf\"] = \"0\"\n",
-    "    undistorted_video.options[\"movflags\"] = \"faststart\"\n",
-    "    undistorted_video.gop_size = original_video_stream.gop_size\n",
-    "    undistorted_video.codec_context.height = original_video_stream.height\n",
-    "    undistorted_video.codec_context.width = original_video_stream.width\n",
-    "    undistorted_video.codec_context.time_base = original_video_stream.time_base\n",
-    "    undistorted_video.codec_context.bit_rate = original_video_stream.bit_rate\n",
-    "\n",
-    "    if original_container.streams.audio:\n",
-    "        audio_stream = original_container.streams.audio[0]\n",
-    "        output_audio_stream = undistorted_container.add_stream(\"aac\")\n",
-    "        output_audio_stream.codec_context.layout = audio_stream.layout.name\n",
-    "        output_audio_stream.codec_context.time_base = audio_stream.time_base\n",
-    "        output_audio_stream.codec_context.bit_rate = audio_stream.bit_rate\n",
-    "        output_audio_stream.codec_context.sample_rate = audio_stream.sample_rate\n",
-    "\n",
-    "    progress = tqdm(unit=\" frames\", total=num_frames)\n",
-    "    with undistorted_container:\n",
-    "        for packet in original_container.demux():\n",
-    "            frames = packet.decode()\n",
-    "\n",
-    "            if packet.stream.type == \"audio\":\n",
-    "                for frame in frames:\n",
-    "                    packets = output_audio_stream.encode(frame)\n",
-    "                    undistorted_container.mux(packets)\n",
-    "            elif packet.stream.type == \"video\":\n",
-    "                for frame in frames:\n",
-    "                    img = frame.to_ndarray(format=\"bgr24\")\n",
-    "                    undistorted_img = cv2.undistort(img, camera_matrix, dist_coeffs)\n",
-    "                    new_frame = frame.from_ndarray(undistorted_img, format=\"bgr24\")\n",
-    "                    new_frame.pts = frame.pts\n",
-    "                    new_frame.time_base = original_video_stream.time_base\n",
-    "                    packets = undistorted_video.encode(new_frame)\n",
-    "                    progress.update()\n",
-    "                    undistorted_container.mux(packets)\n",
-    "        # encode and mux frames that have been queued internally by the encoders\n",
-    "        undistorted_container.mux(output_audio_stream.encode())\n",
-    "        undistorted_container.mux(undistorted_video.encode())\n",
-    "\n",
-    "\n",
-    "def undistort_gaze(original_gaze_path, unditorted_gaze_path):\n",
-    "    original_gaze_df = pd.read_csv(original_gaze_path)\n",
-    "    original_gaze = original_gaze_df[[\"gaze x [px]\", \"gaze y [px]\"]].values\n",
-    "    undistorted_gaze = cv2.undistortPoints(\n",
-    "        original_gaze.reshape(-1, 2), camera_matrix, dist_coeffs, P=camera_matrix\n",
-    "    )\n",
-    "\n",
-    "    undistorted_gaze_df = original_gaze_df.copy()\n",
-    "    undistorted_gaze_df[[\"gaze x [px]\", \"gaze y [px]\"]] = undistorted_gaze.reshape(-1, 2)\n",
-    "    undistorted_gaze_df.to_csv(unditorted_gaze_path, index=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "nvenc not available h264_nvenc\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|██████████| 6913/6913 [04:26<00:00, 25.96 frames/s]\n"
-     ]
-    }
-   ],
-   "source": [
-    "recording_folder = \"data/demo_recording/anna_standing_downstairs-b1eafeee/\"\n",
-    "\n",
-    "original_video_path = recording_folder + \"d4c97639_0.0-230.541.mp4\"\n",
-    "undistorted_video_path = recording_folder + \"d4c97639_0.0-230.541_undistorted.mp4\"\n",
-    "undistort_video(original_video_path, undistorted_video_path)\n",
-    "\n",
-    "original_gaze_path = recording_folder + \"gaze.csv\"\n",
-    "undistorted_gaze_path = recording_folder + \"gaze_undist.csv\"\n",
-    "undistort_gaze(original_gaze_path, undistorted_gaze_path)\n"
-   ]
-  }
- ],
- "metadata": {
-  "interpreter": {
-   "hash": "39a4d822138c736d893f95814a929010b36cb382738bd0a6477d59fa7e743685"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.8.12 ('sci')",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
-  },
-  "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/src/invisible/how-tos/advanced-analysis/intrinsics/data/demo_recording/.gitkeep b/src/invisible/how-tos/advanced-analysis/intrinsics/data/demo_recording/.gitkeep
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-README.md
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-{
- "cells": [
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "permalink: /invisible/how-tos/advanced-analysis/syncing-sensors/\n",
-    "description: How to sync with external sensors \n",
-    "isNotebook: true\n",
-    "---\n",
-    "\n",
-    "# Sync with External Sensors\n",
-    "\n",
-    "Many experimental setups record data from multiple sensors in parallel. This data needs to be synced temporally for a joint analysis. All eye tracking data you record with Pupil Invisible is accurately timestamped using [Unix timestamps](https://en.wikipedia.org/wiki/Unix_time) in nanoseconds. This makes syncronisation with other sensors easily possible.  The only requirement is that the other data also has absolute timestamps like this, i.e. including the date and exact time when every sample was recorded. Note that these differ from relative timestamps which count time since, e.g. the start of a recording.\n",
-    "\n",
-    "If the sensor you are using only provides relative timestamps it is often still possible to convert them to absolute timestamps. Typically, the start time of the recording is available as an absolute timestamp. If you add the relative time to this absolute start point, you get absolute timestamps.\n",
-    "\n",
-    "In this guide, you will learn how to sync datastreams with absolute timestamps using the `pd.merge_asof` function of Pandas. As an example, we will sync a heart rate sensor (from a Garmin Fenix3 HR running watch) with a Pupil Invisible recording. \n",
-    "We will also produce a visualization to show the real-time heart rate of a person jogging alongside the eye tracking video. To build this visualization, we will actually be matching three data streams: 1. Pupil Invisible’s scene video, 2. Gaze data, and 3. Heart rate.\n",
-    "\n",
-    "This guide is about syncing data post hoc after you have made a recording. In some experimental setups it can be handy to sync already at recording time using Labstreaming Layer (LSL). See [here](https://pupil-invisible-lsl-relay.readthedocs.io/en/latest/) for an introduction on LSL with Pupil Invisible.\n",
-    "\n",
-    "If you need to sync data in real-time while recording, see the [real-time API](/invisible/real-time-api/introduction/) instead.\n",
-    "\n",
-    "## Dependencies of this Guide\n",
-    "You can find all code accompanying this guide [here](https://github.com/pupil-labs/pupil-docs/blob/master/src/invisible/how-tos/advanced-analysis/syncing-sensors). To run it you need to install the following dependencies:\n",
-    "\n",
-    "```pip install numpy pandas av fitdecode tqdm opencv-python datetime typing ```\n",
-    "\n",
-    "The heart rate data used in the example is located in [`data/eye-tracking-run.FIT`](https://github.com/pupil-labs/pupil-docs/blob/master/src/invisible/how-tos/advanced-analysis/syncing-sensors/data/eye-tracking-run.FIT).\n",
-    "\n",
-    "The Pupil Invisible recording used in the example is available [here](https://drive.google.com/file/d/1VPa1hiHzZyMRgHSJVm6YeTkRDami5tGq/view?usp=sharing). Unpack it inside the `data/demo-recording` folder.\n",
-    "\n",
-    "## Loading all Data\n",
-    "For the example visualization we need the scene video and gaze data from the Pupil Invisible recording, and the heart rate data.\n",
-    "\n",
-    "The heart rate data can be read using the `fitdecode` module. For more details check out the implementation of the [load_fit_data](https://github.com/pupil-labs/pupil-docs/blob/master/src/invisible/how-tos/advanced-analysis/syncing-sensors/decode_fit.py#L46) function.\n",
-    "\n",
-    "The gaze data CSV file can be read using Pandas. All we need from it is the timestamps and the gaze values.\n",
-    "\n",
-    "For the scene video, we initially only need its timestamps and the corresponding frame indices for matching, we don't have to touch the actual video frames yet."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "from decode_fit import load_fit_data\n",
-    "\n",
-    "\n",
-    "heart_rate_path = \"data/eye-tracking-run.FIT\"\n",
-    "hr = load_fit_data(heart_rate_path)\n",
-    "hr = hr[[\"timestamp\", \"heart_rate\"]]\n",
-    "\n",
-    "gaze_path = \"data/demo-recording/running_rd-4a40d94d/gaze.csv\"\n",
-    "gaze = pd.read_csv(gaze_path)\n",
-    "gaze[\"timestamp [ns]\"] = pd.to_datetime(gaze[\"timestamp [ns]\"])\n",
-    "gaze = gaze[[\"timestamp [ns]\", \"gaze x [px]\", \"gaze y [px]\"]]\n",
-    "\n",
-    "world_ts_path = \"data/demo-recording/running_rd-4a40d94d/world_timestamps.csv\"\n",
-    "world_ts = pd.read_csv(world_ts_path)\n",
-    "world_ts = world_ts[[\"timestamp [ns]\"]]\n",
-    "world_ts[\"frame_index\"] = world_ts.index\n",
-    "world_ts[\"timestamp [ns]\"] = pd.to_datetime(world_ts[\"timestamp [ns]\"])\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Timestamp Matching\n",
-    "\n",
-    "The challenge with syncing the three data streams is that while they are all timestamped, their timestamps are not identical. Every stream is sampled independently and at different rates. E.g. the gaze data is sampled at 200 Hz, while the scene video is only sampled at 30 Hz, so there are a lot more gaze samples than video frames in our recording.\n",
-    "\n",
-    "For our visualization, we will need to overlay every scene video frame with a gaze circle that shows where the wearer was looking. We therefore have to decide between two options:\n",
-    "\n",
-    "**1.** Given the timestamp of the video frame we search for the gaze sample that is closest in time and choose it for the overlay. This would imply that most of the gaze samples are not visible in the overlay, because there are more gaze samples than frames.\n",
-    "\n",
-    "**2.** We match every single gaze sample to its closest video frame. All the gaze samples that match to the same frame are averaged and this value is used for the overlay.\n",
-    "\n",
-    "For gaze data option 2 is usually better, as the averaging contributes a bit of noise reduction.\n",
-    "\n",
-    "The heart rate sensor is not sampling data at regular intervals, but instead only records a new sample when the data changes. Also it is sampled much more sparsly at 1 Hz (or lower in case there are no changes to report). This changes how we need to match the data a bit. First of all, given the lower sampling rate we will now match every heart rate sample to multiple world frames. Second, instead of matching a heart rate sample to the world frames that are closest in time to it, we need to match it to world frames whose timestamps are larger-equal to the heart rate sample's timestamp. The heart rate sample is a point of change, so it is valid until the next change, but not before.\n",
-    "\n",
-    "All of this can be implemented using the Pandas function [`pd.merge_asof`](https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.merge_asof.html). It merges two DataFrames based on indices that do not match perfectly by finding the closest matches, which is exactly what we need.\n",
-    "\n",
-    "### Matching Video and Gaze\n",
-    "As mentioned above we will use option 2 for matching, i.e. we will match every gaze sample to the nearest existing world frame, and then calculate the mean gaze value for every world frame. This type of matching is achieved using `direction=\"nearest\"`. Note in the result below that the first couple of world frames do not have any matches. This is because the world camera initializes faster when starting a recording and thus records a couple seconds sooner than the eye cameras."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>timestamp [ns]</th>\n",
-       "      <th>frame_index</th>\n",
-       "      <th>gaze x [px]</th>\n",
-       "      <th>gaze y [px]</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2022-07-09 17:19:08.694000000</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2022-07-09 17:19:08.744000000</td>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2022-07-09 17:19:08.794000000</td>\n",
-       "      <td>2</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2022-07-09 17:19:08.844000000</td>\n",
-       "      <td>3</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2022-07-09 17:19:08.894000000</td>\n",
-       "      <td>4</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74214</th>\n",
-       "      <td>2022-07-09 18:00:53.466044444</td>\n",
-       "      <td>74214</td>\n",
-       "      <td>427.126000</td>\n",
-       "      <td>880.560833</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74215</th>\n",
-       "      <td>2022-07-09 18:00:53.498311111</td>\n",
-       "      <td>74215</td>\n",
-       "      <td>424.746857</td>\n",
-       "      <td>882.799000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74216</th>\n",
-       "      <td>2022-07-09 18:00:53.534600000</td>\n",
-       "      <td>74216</td>\n",
-       "      <td>426.106167</td>\n",
-       "      <td>884.010000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74217</th>\n",
-       "      <td>2022-07-09 18:00:53.566655555</td>\n",
-       "      <td>74217</td>\n",
-       "      <td>427.429429</td>\n",
-       "      <td>884.170000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74218</th>\n",
-       "      <td>2022-07-09 18:00:53.598533333</td>\n",
-       "      <td>74218</td>\n",
-       "      <td>430.543800</td>\n",
-       "      <td>885.591900</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>74219 rows × 4 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     timestamp [ns]  frame_index  gaze x [px]  gaze y [px]\n",
-       "0     2022-07-09 17:19:08.694000000            0          NaN          NaN\n",
-       "1     2022-07-09 17:19:08.744000000            1          NaN          NaN\n",
-       "2     2022-07-09 17:19:08.794000000            2          NaN          NaN\n",
-       "3     2022-07-09 17:19:08.844000000            3          NaN          NaN\n",
-       "4     2022-07-09 17:19:08.894000000            4          NaN          NaN\n",
-       "...                             ...          ...          ...          ...\n",
-       "74214 2022-07-09 18:00:53.466044444        74214   427.126000   880.560833\n",
-       "74215 2022-07-09 18:00:53.498311111        74215   424.746857   882.799000\n",
-       "74216 2022-07-09 18:00:53.534600000        74216   426.106167   884.010000\n",
-       "74217 2022-07-09 18:00:53.566655555        74217   427.429429   884.170000\n",
-       "74218 2022-07-09 18:00:53.598533333        74218   430.543800   885.591900\n",
-       "\n",
-       "[74219 rows x 4 columns]"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Match every gaze sample to the closest world timestamp\n",
-    "gaze_world = pd.merge_asof(gaze, world_ts, left_on=\"timestamp [ns]\", right_on=\"timestamp [ns]\", direction=\"nearest\")\n",
-    "\n",
-    "# Calculate the mean gaze position for each world frame\n",
-    "gaze_world = gaze_world.groupby(\"frame_index\").mean()\n",
-    "\n",
-    "# Merge the gaze data with the world frame data\n",
-    "df = pd.merge(world_ts, gaze_world, left_on=\"frame_index\", right_on=\"frame_index\", how=\"left\")\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Match Video and Heart Rate\n",
-    "Next we will match video and heart rate data. As mentioned above, we need to match every world frame to the closest heart rate sample whose timestamp is smaller than or equal to that of the world frame. This is done using `direction=\"backwards\"`, which can be read as \"\"from the world timestamp look *backwards* in time for the closest match\". Note how the heart rate samples repeat themselves for several world frames as expected."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>timestamp [ns]</th>\n",
-       "      <th>frame_index</th>\n",
-       "      <th>gaze x [px]</th>\n",
-       "      <th>gaze y [px]</th>\n",
-       "      <th>heart_rate</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2022-07-09 17:19:08.694000000</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2022-07-09 17:19:08.744000000</td>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2022-07-09 17:19:08.794000000</td>\n",
-       "      <td>2</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2022-07-09 17:19:08.844000000</td>\n",
-       "      <td>3</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2022-07-09 17:19:08.894000000</td>\n",
-       "      <td>4</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74214</th>\n",
-       "      <td>2022-07-09 18:00:53.466044444</td>\n",
-       "      <td>74214</td>\n",
-       "      <td>427.126000</td>\n",
-       "      <td>880.560833</td>\n",
-       "      <td>169.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74215</th>\n",
-       "      <td>2022-07-09 18:00:53.498311111</td>\n",
-       "      <td>74215</td>\n",
-       "      <td>424.746857</td>\n",
-       "      <td>882.799000</td>\n",
-       "      <td>169.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74216</th>\n",
-       "      <td>2022-07-09 18:00:53.534600000</td>\n",
-       "      <td>74216</td>\n",
-       "      <td>426.106167</td>\n",
-       "      <td>884.010000</td>\n",
-       "      <td>169.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74217</th>\n",
-       "      <td>2022-07-09 18:00:53.566655555</td>\n",
-       "      <td>74217</td>\n",
-       "      <td>427.429429</td>\n",
-       "      <td>884.170000</td>\n",
-       "      <td>169.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74218</th>\n",
-       "      <td>2022-07-09 18:00:53.598533333</td>\n",
-       "      <td>74218</td>\n",
-       "      <td>430.543800</td>\n",
-       "      <td>885.591900</td>\n",
-       "      <td>169.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>74219 rows × 5 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     timestamp [ns]  frame_index  gaze x [px]  gaze y [px]  \\\n",
-       "0     2022-07-09 17:19:08.694000000            0          NaN          NaN   \n",
-       "1     2022-07-09 17:19:08.744000000            1          NaN          NaN   \n",
-       "2     2022-07-09 17:19:08.794000000            2          NaN          NaN   \n",
-       "3     2022-07-09 17:19:08.844000000            3          NaN          NaN   \n",
-       "4     2022-07-09 17:19:08.894000000            4          NaN          NaN   \n",
-       "...                             ...          ...          ...          ...   \n",
-       "74214 2022-07-09 18:00:53.466044444        74214   427.126000   880.560833   \n",
-       "74215 2022-07-09 18:00:53.498311111        74215   424.746857   882.799000   \n",
-       "74216 2022-07-09 18:00:53.534600000        74216   426.106167   884.010000   \n",
-       "74217 2022-07-09 18:00:53.566655555        74217   427.429429   884.170000   \n",
-       "74218 2022-07-09 18:00:53.598533333        74218   430.543800   885.591900   \n",
-       "\n",
-       "       heart_rate  \n",
-       "0             NaN  \n",
-       "1             NaN  \n",
-       "2             NaN  \n",
-       "3             NaN  \n",
-       "4             NaN  \n",
-       "...           ...  \n",
-       "74214       169.0  \n",
-       "74215       169.0  \n",
-       "74216       169.0  \n",
-       "74217       169.0  \n",
-       "74218       169.0  \n",
-       "\n",
-       "[74219 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Match every world frame to the closest preceding heart rate sample\n",
-    "world_hr = pd.merge_asof(world_ts, hr, left_on=\"timestamp [ns]\", right_on=\"timestamp\", direction=\"backward\")\n",
-    "\n",
-    "# We use the frame index to merge this into the data frame\n",
-    "# so we can drop the timestamps here\n",
-    "world_hr.drop([\"timestamp\", \"timestamp [ns]\"], axis=1, inplace=True)\n",
-    "\n",
-    "# Merge the matched heart rate data with the previous\n",
-    "# data frame containing the world frame data and gaze\n",
-    "df = pd.merge(df, world_hr, left_on=\"frame_index\", right_on=\"frame_index\", how=\"left\")\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Visualization\n",
-    "Now that we have matched all three data streams successfully we can visualize them together. This can be done in various ways and the complexity of creating visualizations is out of scope of this guide, but we have provided an example visualization below that shows a simple gaze overlay and textual visualization of the heart rate.\n",
-    "\n",
-    "Feel free to check the implementation of the [`make_visualization`](/invisible/how-tos/advanced-analysis/syncing-sensors/visualization.py) function."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "nvenc not available h264_nvenc\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|█████████▉| 74218/74219 [50:32<00:00, 22.36 frames/s]  "
-     ]
-    }
-   ],
-   "source": [
-    "from visualization import make_visualization\n",
-    "\n",
-    "world_video_path = \"data/demo-recording/running_rd-4a40d94d/3e2512bf_0.0-2504.94.mp4\"\n",
-    "visualization_path = \"data/visualization.mp4\"\n",
-    "\n",
-    "\n",
-    "make_visualization(df, world_video_path, visualization_path)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<Youtube src=\"tUzgFV0-0iA\"/>"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6 (v3.10.6:9c7b4bd164, Aug  1 2022, 17:13:48) [Clang 13.0.0 (clang-1300.0.29.30)]"
-  },
-  "orig_nbformat": 4,
-  "vscode": {
-   "interpreter": {
-    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/src/invisible/how-tos/advanced-analysis/syncing-sensors/data/eye-tracking-run.FIT b/src/invisible/how-tos/advanced-analysis/syncing-sensors/data/eye-tracking-run.FIT
deleted file mode 100644
index 78e4eacfa..000000000
Binary files a/src/invisible/how-tos/advanced-analysis/syncing-sensors/data/eye-tracking-run.FIT and /dev/null differ
diff --git a/src/invisible/how-tos/advanced-analysis/syncing-sensors/decode_fit.py b/src/invisible/how-tos/advanced-analysis/syncing-sensors/decode_fit.py
deleted file mode 100644
index 7927fd242..000000000
--- a/src/invisible/how-tos/advanced-analysis/syncing-sensors/decode_fit.py
+++ /dev/null
@@ -1,85 +0,0 @@
-
-#Thanks to Alan Bunbury - this script was modified from https://github.com/bunburya/fitness_tracker_data_parsing/blob/main/parse_fit.py
-
-from datetime import datetime, timedelta
-from typing import Dict, Union, Optional, Tuple
-
-import numpy as np
-import pandas as pd
-
-import fitdecode
-
-# The names of the columns we will use in our points DataFrame. For the data we will be getting
-# from the FIT data, we use the same name as the field names to make it easier to parse the data.
-POINTS_COLUMN_NAMES = [
-    "latitude",
-    "longitude",
-    "altitude",
-    "timestamp",
-    "heart_rate",
-    "cadence",
-    "speed",
-]
-
-
-def get_fit_point_data(
-    frame: fitdecode.records.FitDataMessage,
-) -> Optional[Dict[str, Union[float, int, str, datetime]]]:
-    """Extract some data from an FIT frame representing a track point and return it as a dict"""
-
-    data: Dict[str, Union[float, int, str, datetime]] = {}
-
-    if not (frame.has_field("position_lat") and frame.has_field("position_long")):
-        # If the frame does not have any latitude or longitude data, We will ignore these frames
-        return None
-    else:
-        data["latitude"] = frame.get_value("position_lat") / ((2 ** 32) / 360)
-        data["longitude"] = frame.get_value("position_long") / ((2 ** 32) / 360)
-
-    for field in POINTS_COLUMN_NAMES[3:]:
-        if frame.has_field(field):
-            data[field] = frame.get_value(field)
-
-    return data
-
-
-def load_fit_data(fname: str) -> pd.DataFrame:
-    """Takes the path to a FIT file (as a string) and returns Pandas DataFrame: one containing individual points"""
-
-    points_data = []
-    with fitdecode.FitReader(fname) as fit_file:
-        for frame in fit_file:
-            if isinstance(frame, fitdecode.records.FitDataMessage):
-                if frame.name == "record":
-                    single_point_data = get_fit_point_data(frame)
-                    if single_point_data is not None:
-                        points_data.append(single_point_data)
-
-    # Create DataFrames from the data we have collected. If any information is missing from a particular point, it will show up as a null value or "NaN" in the DataFrame.
-    df = pd.DataFrame(points_data, columns=POINTS_COLUMN_NAMES)
-
-    df["timestamp"] = df["timestamp"].dt.tz_localize(None)
-
-    return df
-
-
-def get_pupil_timestamps(fname: str) -> pd.DataFrame:
-    df = pd.read_csv(fname)
-    ns_ts = df["timestamp [ns]"]
-    # Convert UTC nanoseconds to datetime
-    
-    return pd.DataFrame([datetime.utcfromtimestamp(x / 1e9) for x in ns_ts])
-
-
-if __name__ == "__main__":
-    # from sys import argv
-    fname_fit = "data/eye-tracking-run.FIT"  # Path to .FIT file containing heart rate data as well as other data generated by the Garmin watch during a run
-    points_df = load_fit_data(fname_fit)
-
-    fname_pl = "data/demo-recording/running_rd-4a40d94d/gaze.csv"  # Path to Pupil Invisible gaze data
-    ts_pl = get_pupil_timestamps(fname_pl)
-    # print("\nGarmin ts:")
-    # print(points_df["timestamp"])
-    # print("\nPL ts:")
-    # print(ts_pl)
-    print(points_df)
diff --git a/src/invisible/how-tos/advanced-analysis/syncing-sensors/visualization.py b/src/invisible/how-tos/advanced-analysis/syncing-sensors/visualization.py
deleted file mode 100644
index d6f236e22..000000000
--- a/src/invisible/how-tos/advanced-analysis/syncing-sensors/visualization.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import av
-import cv2
-import numpy as np
-from tqdm import tqdm
-
-
-def _render_onto_image(img, gaze, hr):
-    if not np.isnan(gaze[0]):
-        gaze = (int(gaze[0]), int(gaze[1]))
-        cv2.circle(img, gaze, 50, (0, 0, 255), 5)
-    
-    cv2.putText(img, f"HR: {hr}", (50,100), cv2.FONT_HERSHEY_SIMPLEX, 2, (255,0,0), 3)
-
-    return img
-
-
-def make_visualization(matched_data, world_video_path, output_path):
-    world_lookup = {}
-    for index, packet in enumerate(av.open(world_video_path).demux(video=0)):
-        world_lookup[index] = packet
-
-    original_container = av.open(str(world_video_path))
-    original_video_stream = original_container.streams.video[0]
-
-    visualization_container = av.open(str(output_path), "w")
-
-    try:
-        visualization_video = visualization_container.add_stream("h264_nvenc")
-    except Exception as e:
-        print("nvenc not available", e)
-        visualization_video = visualization_container.add_stream("h264")
-
-    visualization_video.options["bf"] = "0"
-    visualization_video.options["movflags"] = "faststart"
-    visualization_video.gop_size = original_video_stream.gop_size
-    visualization_video.codec_context.height = original_video_stream.height
-    visualization_video.codec_context.width = original_video_stream.width
-    visualization_video.codec_context.time_base = original_video_stream.time_base
-    visualization_video.codec_context.bit_rate = original_video_stream.bit_rate
-
-    progress = tqdm(unit=" frames", total=len(matched_data))
-    with visualization_container:
-        for _, row in matched_data.iterrows():
-            _, frame_index, gaze_x, gaze_y, hr = row
-
-            frame = world_lookup[frame_index].decode()
-            try:
-                frame = frame[0]
-            except IndexError:
-                continue
-
-            img = frame.to_ndarray(format="bgr24")
-            vis_img = _render_onto_image(img, (gaze_x, gaze_y), hr)
-            
-            new_frame = frame.from_ndarray(vis_img, format="bgr24")
-            new_frame.pts = frame.pts
-            new_frame.time_base = original_video_stream.time_base
-            packets = visualization_video.encode(new_frame)
-            progress.update()
-            visualization_container.mux(packets)
-
-        # encode and mux frames that have been queued internally by the encoders
-        visualization_container.mux(visualization_video.encode())
\ No newline at end of file
diff --git a/src/invisible/how-tos/data-collection-with-the-companion-app/monitor-your-data-collection-in-real-time.md b/src/invisible/how-tos/data-collection-with-the-companion-app/monitor-your-data-collection-in-real-time.md
deleted file mode 100644
index 484ef4661..000000000
--- a/src/invisible/how-tos/data-collection-with-the-companion-app/monitor-your-data-collection-in-real-time.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Links to Pupil Invisible Monitor app.
----
-
-# Monitor your Data Collection in Real-Time
-
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../../media/invisible/getting-started/pi-monitor-app.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
-
-Using the **Pupil Invisible Monitor** app you can easily monitor you data collection in real-time and remote control all your Pupil Invisible glasses from another device. It's a web-app that can be opened in any browser on a computer, tablet or phone! The only requirement is that the Pupil Invisible Companion device and the device you use to access the Monitor app are connected to the same network.
-
-To access the Monitor app make sure the Pupil Invisible Companion app is running and visit the page [pi.local:8080](http://pi.local:8080) on your monitoring device.
-
-**Pro-Tip**: The Pupil Invisible Companion app can display a QR code that gets you straight to the monitor website. Just select `Streaming` in the menu!
-
-
-## The App's User Interface
-Once the page has loaded, you will be presented with a live stream of the scene camera with a gaze overlay. On the right-hand side you can find a record button, that allows you to remotely start and stop a recording on the device.
-
-If you have multiple Pupil Invisible devices connected to the network, you can switch between devices using the switch button.
-
-Using the various event buttons, you can remotely save an [event](/invisible/basic-concepts/events) in a recording to mark points of interest. In the settings view you can customize the according event names.
-
-<div style="display:flex;justify-content:center;" class="pb-4">
-  <v-img
-    :src="require('../../../media/invisible/how-tos/monitor-ui.png')"
-    max-width=100%
-  >
-  </v-img>
-</div>
-
-## Connection Problems?
-
-In case you have trouble connecting to your Pupil Invisible device please consider the following:
-- First, make sure the Companion phone and the device you are using for monitoring are both connected to the same network.
-- The local network must allow MDNS and UDP traffic for the app to work. In large public networks this may be prohibited for security reasons. You can circumvent this by running a separate WiFi using the phone's hot spot functionality or an extra router.
-
-If you still have trouble, please reach out to us in [chat](https://pupil-labs.com/chat/)!
-
-## Conclusion
-
-The Pupil Invisible Monitor app allows you to easily monitor your data collection and remotely control all your Pupil Invisible devices.
-
-If you want to go further and get real-time access to the generated data for custom processing, please checkout our [real-time API](/invisible/real-time-api/introduction/).
-
-If you want to save events programmatically in real-time during your data collection, check out our how-to guide on [Tracking your Experiment Progress using Events](/invisible/real-time-api/track-your-experiment-progress-using-events/) using the real-time API.
\ No newline at end of file
diff --git a/src/invisible/real-time-api/introduction/README.ipynb b/src/invisible/real-time-api/introduction/README.ipynb
deleted file mode 100644
index 7584d3b84..000000000
--- a/src/invisible/real-time-api/introduction/README.ipynb
+++ /dev/null
@@ -1 +0,0 @@
-{"cells":[{"attachments":{},"cell_type":"markdown","metadata":{},"source":["---\n","permalink: /invisible/real-time-api/introduction\n","description: Beginner guide on using the real-time API client to remote control Pupil Invisible devices and stream data.\n","isNotebook: true\n","---\n","\n","# Introduction\n","For some applications it is critical to have access to eye tracking data in real time. Imagine for example an application utilizing gaze interaction to allow users to press a button using only their eyes.\n","\n","In other cases it may be important to automatically start or stop a recording and save [events](/invisible/basic-concepts/events/). For example, you might want to launch a screen-based experiment and have the recording start automatically when the stimulus presentation begins. Additionally, you might want to save the timestamps of when the subject interacted with the screen.\n","\n","All of this is possible for developers using [Pupil Invisible's Realtime Network API](https://github.com/pupil-labs/realtime-network-api). It allows you to stream gaze data and scene video to any device connected to the same local network. Further, you can control all devices remotely to start and stop recordings or save events.\n","\n","If you are not a developer and simply need a tool to monitor and control all your devices in real-time, check out [Pupil Invisible Monitor](/invisible/how-tos/data-collection-with-the-companion-app/monitor-your-data-collection-in-real-time.html).\n","\n","We have created a Python client library for the API that makes it very easy to use. If you require access to the API from a different programming language, you will have to write your own client. Please see the documentation [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/guides/under-the-hood.html).\n","\n","To install the client library execute the following command in a terminal:\n","\n","```\n","pip install pupil-labs-realtime-api\n","```"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["### Using the Client Library\n","The client comes in two modes, `simple` and `async`. The simple mode is very easy to use and is the one we will focus on in this tutorial.\n","\n","::: tip\n","You can download the code for this guide [here](https://github.com/pupil-labs/pupil-docs/tree/master/src/invisible/real-time-api/introduction).\n",":::\n","\n","The async mode is using Python's [asyncio](https://docs.python.org/3/library/asyncio.html) in order to implement non-blocking asynchronous communication. The calls made using the simple mode are blocking. If you don't know what any of this means, that's okay! The simple mode suffices for most use-cases and you usually do not need to understand the differences!\n","\n","The simple client is located in [`pupil_labs.realtime_api.simple`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#simple-api). Using the [`discover_one_device`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.discover_one_device) function, we can connect to a Pupil Invisible device connected to your local network. Make sure the Invisible Companion app is running! If no device can be found, please check [this section](/invisible/troubleshooting/#i-can-not-connect-to-devices-using-the-real-time-api) in our troubleshooting area! "]},{"cell_type":"code","execution_count":1,"metadata":{},"outputs":[],"source":["# The two lines below are only needed to execute this code in a Jupyter Notebook\n","import nest_asyncio\n","nest_asyncio.apply()\n","\n","from pupil_labs.realtime_api.simple import discover_one_device\n","device = discover_one_device()"]},{"cell_type":"markdown","metadata":{},"source":["With the device connected, you can check various properties of the Companion device and the Pupil Invisible Glasses:"]},{"cell_type":"code","execution_count":2,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Phone IP address: 192.168.1.168\n","Phone name: OnePlus8\n","Battery level: 43%\n","Free storage: 92.4 GB\n","Serial number of connected glasses: h4gcf\n"]}],"source":["print(f\"Phone IP address: {device.phone_ip}\")\n","print(f\"Phone name: {device.phone_name}\")\n","print(f\"Battery level: {device.battery_level_percent}%\")\n","print(f\"Free storage: {device.memory_num_free_bytes / 1024**3:.1f} GB\")\n","print(f\"Serial number of connected glasses: {device.serial_number_glasses}\")"]},{"cell_type":"markdown","metadata":{},"source":["### Remote Control of Pupil Invisible Devices\n","Use the [`recording_start`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.recording_start)\n","and [`recording_stop_and_save`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.recording_stop_and_save)\n","methods to remotely start and stop recordings."]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Started recording with id 2f99d9f9-f009-4015-97dd-eb253de443b0\n"]}],"source":["import time\n","\n","recording_id = device.recording_start()\n","print(f\"Started recording with id {recording_id}\")\n","\n","time.sleep(5)\n","\n","device.recording_stop_and_save()"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["While a recording is running, you can save [events](/invisible/basic-concepts/events)\n","using the [`send_event`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.send_event) method.\n","By default, the Pupil Invisible device receiving the event will assign assign a timestamp to it,\n","using the time of arrival. Optionally, you can set a custom nanosecond timestamp for your event instead."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Event(name=None recording_id=None timestamp_unix_ns=1642599117043000000 datetime=2022-01-19 14:31:57.043000)\n","Event(name=None recording_id=fd8c98ca-cd6c-4d3f-9a05-fbdb0ef42668 timestamp_unix_ns=1642599122555200500 datetime=2022-01-19 14:32:02.555201)\n"]}],"source":["device.recording_start()\n","\n","print(device.send_event(\"test event 1\"))\n","\n","time.sleep(5)\n","\n","# send event with current timestamp\n","print(device.send_event(\"test event 2\", event_timestamp_unix_ns=time.time_ns()))\n","\n","device.recording_stop_and_save()"]},{"cell_type":"markdown","metadata":{},"source":["### Streaming Scene Video and Gaze Data\n","You can receive the current scene camera frame using the\n","[`receive_scene_video_frame`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_scene_video_frame) method.\n","Additionally, this method returns the UTC timestamp of the frame in seconds.\n","The image's color space is BGR."]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["This scene camera image was recorded at 2022-02-28 14:00:59.226667\n"]},{"data":{"text/plain":["<matplotlib.image.AxesImage at 0x1f8e892c310>"]},"execution_count":7,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["from datetime import datetime\n","import matplotlib.pyplot as plt\n","import cv2\n","\n","scene_sample = device.receive_scene_video_frame()\n","\n","dt = datetime.fromtimestamp(scene_sample.timestamp_unix_seconds)\n","print(f\"This scene camera image was recorded at {dt}\")\n","\n","# matplotlib expects images to be in RGB rather than BGR.\n","# Thus we use OpenCv to convert color spaces.\n","scene_image_rgb = cv2.cvtColor(scene_sample.bgr_pixels, cv2.COLOR_BGR2RGB)\n","\n","plt.figure(figsize=(10, 10))\n","plt.imshow(scene_image_rgb)"]},{"cell_type":"markdown","metadata":{},"source":["Analogously, you can receive gaze data using the [`receive_gaze_datum`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_gaze_datum) method,\n","which returns a quadruple of x- and y-coordinate, a boolean whether the glasses are being worn,\n","and a timestamp. The timestamp is again a UTC timestamp in seconds."]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["This gaze sample was recorded at 2022-02-28 14:01:29.520955\n"]},{"data":{"text/plain":["(1080.0, 0.0)"]},"execution_count":10,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["gaze_sample = device.receive_gaze_datum()\n","\n","dt = datetime.fromtimestamp(gaze_sample.timestamp_unix_seconds)\n","print(f\"This gaze sample was recorded at {dt}\")\n","\n","plt.figure(figsize=(10, 10))\n","plt.scatter(gaze_sample.x, gaze_sample.y, s=2000, facecolors='none', edgecolors='r')\n","plt.xlim(0, 1088)\n","plt.ylim(1080, 0)"]},{"cell_type":"markdown","metadata":{},"source":["If you tried to correlate the scene video and gaze data to e.g. make a gaze overlay visualization, you might find that there is small temporal misalignment if you simply use the most recent data.\n","This is because the gaze data is much smaller and is transferred more quickly. When plotting the most recent samples, the scene video would lag slightly behind.\n","\n","To compensate for this you need to align the incoming data based on it's timestamps.\n","The client library contains a method [`receive_matched_scene_video_frame_and_gaze`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_matched_scene_video_frame_and_gaze) to do all of this automatically.\n","It returns the most recent pair of scene video and gaze data that matches temporally."]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["This gaze sample was recorded at 2022-01-19 16:09:40.947967\n","This scene video was recorded at 2022-01-19 16:09:40.938255\n","Temporal difference between both is 9.7 ms\n"]},{"data":{"text/plain":["<matplotlib.collections.PathCollection at 0x1351d1a0850>"]},"execution_count":13,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["scene_sample, gaze_sample = device.receive_matched_scene_video_frame_and_gaze()\n","\n","dt_gaze = datetime.fromtimestamp(gaze_sample.timestamp_unix_seconds)\n","dt_scene = datetime.fromtimestamp(scene_sample.timestamp_unix_seconds)\n","print(f\"This gaze sample was recorded at {dt_gaze}\")\n","print(f\"This scene video was recorded at {dt_scene}\")\n","print(f\"Temporal difference between both is {abs(gaze_sample.timestamp_unix_seconds - scene_sample.timestamp_unix_seconds) * 1000:.1f} ms\")\n","\n","scene_image_rgb = cv2.cvtColor(scene_sample.bgr_pixels, cv2.COLOR_BGR2RGB)\n","plt.figure(figsize=(10, 10))\n","plt.imshow(scene_image_rgb)\n","plt.scatter(gaze_sample.x, gaze_sample.y, s=200, facecolors='none', edgecolors='r')"]},{"cell_type":"markdown","metadata":{},"source":["### Conclusion"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["Using the simple mode of the real-time API client you can easily access scene video and gaze data in real-time as well as remote control your Pupil Invisible devices.\n","\n","You can find the full API reference [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html).\n","\n","For an example implementation on how to use the real-time API in action, please see [Track your Experiment Progress using Events](/invisible/real-time-api/track-your-experiment-progress-using-events/).\n","\n","To learn more about the `async` mode of the client see [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/examples/async.html)."]},{"cell_type":"markdown","metadata":{},"source":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.6 (v3.10.6:9c7b4bd164, Aug  1 2022, 17:13:48) [Clang 13.0.0 (clang-1300.0.29.30)]"},"vscode":{"interpreter":{"hash":"aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"}}},"nbformat":4,"nbformat_minor":4}
diff --git a/src/invisible/real-time-api/track-your-experiment-progress-using-events/.gitignore b/src/invisible/real-time-api/track-your-experiment-progress-using-events/.gitignore
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-README.md
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diff --git a/src/invisible/real-time-api/track-your-experiment-progress-using-events/README.ipynb b/src/invisible/real-time-api/track-your-experiment-progress-using-events/README.ipynb
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-{
- "cells": [
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "permalink: /invisible/real-time-api/track-your-experiment-progress-using-events/\n",
-    "description: How-To guide tracking experiment progress using events and the real-time API.\n",
-    "isNotebook: true\n",
-    "---\n",
-    "\n",
-    "# Track your Experiment Progress using Events\n",
-    "Running a data collection for an experiment can be an organizational challenge. Many experiments are running through different phases and keeping track of what data belongs to what phase can be one of the difficulties.\n",
-    "\n",
-    "Using [events](/invisible/basic-concepts/events), tracking the progress of an experiment becomes very easy and can often be fully automated though.\n",
-    "\n",
-    "In this guide we will demonstrate how to save events at recording time and how to utilize them later during analysis to easily keep track of what phase a certain section of data was recorded in.\n",
-    "\n",
-    "To this end we are assuming a minimal experiment setup: we want to record subjects while they observe a series of images of animals and analyse how the average fixation duration differs for each image.\n",
-    "\n",
-    "::: tip\n",
-    "You can download the example data used in this guide [here](https://drive.google.com/file/d/1O-HJJbJWRBgcZS1sowCX2srmME5hTub0/view?usp=sharing) and find the code [here](https://github.com/pupil-labs/pupil-docs/tree/master/src/invisible/real-time-api/track-your-experiment-progress-using-events/).\n",
-    ":::\n",
-    "\n",
-    "## How to use Events to keep track?\n",
-    "Events are essentially timestamps within a recording that have been marked with a name. We need to keep track of when a specific image is shown during a recording, so we can associate the according fixation data with that image. Thus, we will create an event at the start and end of each image presentation to mark this section.\n",
-    "\n",
-    "Events can either be created post hoc in the project editor, or at recording time using either the [real-time API](/invisible/real-time-api/introduction/) or [Pupil Invisible Monitor](/invisible/how-tos/data-collection-with-the-companion-app/monitor-your-data-collection-in-real-time.html). In this example we are interested in fully automating the event creation and will thus use the real-time API to save events, but depending on your use-case you could use either of those methods.\n",
-    "\n",
-    "## Implementation\n",
-    "The implementation for stimulus presentation is minimal. The images are loaded using OpenCV and are displayed in a full-screen window for fixed amount of time."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import time\n",
-    "import cv2\n",
-    "\n",
-    "image_names = [\"owl\", \"fox\", \"deer\"]\n",
-    "\n",
-    "def prepare_stimulus_presentation():\n",
-    "    cv2.namedWindow(\"Stimulus\", cv2.WINDOW_NORMAL)\n",
-    "    cv2.setWindowProperty(\"Stimulus\", cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)\n",
-    "\n",
-    "def present_stimulus(img):\n",
-    "    presentation_time = 5\n",
-    "    start_time = time.perf_counter()\n",
-    "    while time.perf_counter() - start_time < presentation_time:\n",
-    "        cv2.imshow(\"Stimulus\", img)\n",
-    "        cv2.waitKey(1)\n",
-    "\n",
-    "def cleanup_stimulus_presentation():\n",
-    "    cv2.destroyAllWindows()\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Using the real-time API, we now have to connect to a Pupil Invisible device for recording. We can remotely start the recording and save events before and after stimulus presentation. The names of the events are chosen as `<animal name>_start` and `<animal name>_end` depending on the animal that is shown.\n",
-    "\n",
-    "Once all images have been shown, the recording is stopped remotely."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# The 2 lines below are only needed when accessing \n",
-    "# the real-time API from a Jupyter notebook\n",
-    "import nest_asyncio\n",
-    "nest_asyncio.apply()\n",
-    "\n",
-    "from pupil_labs.realtime_api.simple import discover_one_device\n",
-    "\n",
-    "device = discover_one_device()\n",
-    "device.recording_start()\n",
-    "\n",
-    "# Wait for a couple seconds before starting\n",
-    "# to give all sensors enough time to initialize\n",
-    "time.sleep(3)\n",
-    "\n",
-    "prepare_stimulus_presentation()\n",
-    "\n",
-    "for name in image_names:\n",
-    "    img = cv2.imread(name + \".jpg\")\n",
-    "\n",
-    "    device.send_event(name + \"_start\")\n",
-    "    present_stimulus(img)    \n",
-    "    device.send_event(name + \"_end\")\n",
-    "\n",
-    "cleanup_stimulus_presentation()\n",
-    "device.recording_stop_and_save()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "That is all we have to do during data collection. Once all recordings have uploaded to Pupil Cloud, we create a project with them in order to export them using the \"Downloads\" view. In the project editor we can already see the events in every recording.\n",
-    "\n",
-    "<div style=\"display:flex;justify-content:center;\" class=\"pb-4\">\n",
-    "  <v-img\n",
-    "    :src=\"require('../../../media/invisible/how-tos/project-editor-screenshot.png')\"\n",
-    "    max-width=100%\n",
-    "  >\n",
-    "  </v-img>\n",
-    "</div>\n",
-    "\n",
-    "Let's look at at example event and fixation data from the raw data export."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>recording id</th>\n",
-       "      <th>timestamp [ns]</th>\n",
-       "      <th>name</th>\n",
-       "      <th>type</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417853032000000</td>\n",
-       "      <td>recording.begin</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417856195000000</td>\n",
-       "      <td>owl_start</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417861273000000</td>\n",
-       "      <td>owl_end</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417861399000000</td>\n",
-       "      <td>fox_start</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417866475000000</td>\n",
-       "      <td>fox_end</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417866613000000</td>\n",
-       "      <td>deer_start</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417872348000000</td>\n",
-       "      <td>deer_end</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417872441000000</td>\n",
-       "      <td>recording.end</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                           recording id       timestamp [ns]             name  \\\n",
-       "0  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417853032000000  recording.begin   \n",
-       "1  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417856195000000        owl_start   \n",
-       "2  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417861273000000          owl_end   \n",
-       "3  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417861399000000        fox_start   \n",
-       "4  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417866475000000          fox_end   \n",
-       "5  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417866613000000       deer_start   \n",
-       "6  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417872348000000         deer_end   \n",
-       "7  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417872441000000    recording.end   \n",
-       "\n",
-       "        type  \n",
-       "0  recording  \n",
-       "1  recording  \n",
-       "2  recording  \n",
-       "3  recording  \n",
-       "4  recording  \n",
-       "5  recording  \n",
-       "6  recording  \n",
-       "7  recording  "
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "events = pd.read_csv(\"raw-data-export/george-49e4a972/events.csv\")\n",
-    "events"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>section id</th>\n",
-       "      <th>recording id</th>\n",
-       "      <th>fixation id</th>\n",
-       "      <th>start timestamp [ns]</th>\n",
-       "      <th>end timestamp [ns]</th>\n",
-       "      <th>duration [ms]</th>\n",
-       "      <th>fixation x [px]</th>\n",
-       "      <th>fixation y [px]</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1644417853698031394</td>\n",
-       "      <td>1644417853910023394</td>\n",
-       "      <td>211</td>\n",
-       "      <td>651.751</td>\n",
-       "      <td>731.750</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1644417853978009394</td>\n",
-       "      <td>1644417854338008394</td>\n",
-       "      <td>359</td>\n",
-       "      <td>528.268</td>\n",
-       "      <td>881.095</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1644417854410160394</td>\n",
-       "      <td>1644417856542104394</td>\n",
-       "      <td>2131</td>\n",
-       "      <td>655.423</td>\n",
-       "      <td>668.033</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1644417856590003394</td>\n",
-       "      <td>1644417857238017394</td>\n",
-       "      <td>648</td>\n",
-       "      <td>523.187</td>\n",
-       "      <td>677.434</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1644417857298000394</td>\n",
-       "      <td>1644417858693973394</td>\n",
-       "      <td>1395</td>\n",
-       "      <td>772.743</td>\n",
-       "      <td>640.843</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                             section id                          recording id  \\\n",
-       "0  5b682999-fb7d-42c3-9da0-2253ece6299b  49e4a972-7d6b-4b42-b931-bf64b91f952b   \n",
-       "1  5b682999-fb7d-42c3-9da0-2253ece6299b  49e4a972-7d6b-4b42-b931-bf64b91f952b   \n",
-       "2  5b682999-fb7d-42c3-9da0-2253ece6299b  49e4a972-7d6b-4b42-b931-bf64b91f952b   \n",
-       "3  5b682999-fb7d-42c3-9da0-2253ece6299b  49e4a972-7d6b-4b42-b931-bf64b91f952b   \n",
-       "4  5b682999-fb7d-42c3-9da0-2253ece6299b  49e4a972-7d6b-4b42-b931-bf64b91f952b   \n",
-       "\n",
-       "   fixation id  start timestamp [ns]   end timestamp [ns]  duration [ms]  \\\n",
-       "0            1   1644417853698031394  1644417853910023394            211   \n",
-       "1            2   1644417853978009394  1644417854338008394            359   \n",
-       "2            3   1644417854410160394  1644417856542104394           2131   \n",
-       "3            4   1644417856590003394  1644417857238017394            648   \n",
-       "4            5   1644417857298000394  1644417858693973394           1395   \n",
-       "\n",
-       "   fixation x [px]  fixation y [px]  \n",
-       "0          651.751          731.750  \n",
-       "1          528.268          881.095  \n",
-       "2          655.423          668.033  \n",
-       "3          523.187          677.434  \n",
-       "4          772.743          640.843  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fixations = pd.read_csv(\"raw-data-export/george-49e4a972/fixations.csv\")\n",
-    "fixations.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can now simply iterate through the recordings and filter the fixation data using the start and end timestamps, to calculate the average number of fixations for every image and subject."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>owl</th>\n",
-       "      <th>fox</th>\n",
-       "      <th>deer</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>George</th>\n",
-       "      <td>7</td>\n",
-       "      <td>10</td>\n",
-       "      <td>9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Jane</th>\n",
-       "      <td>7</td>\n",
-       "      <td>5</td>\n",
-       "      <td>10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>John</th>\n",
-       "      <td>10</td>\n",
-       "      <td>7</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Lisa</th>\n",
-       "      <td>5</td>\n",
-       "      <td>7</td>\n",
-       "      <td>9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Steve</th>\n",
-       "      <td>7</td>\n",
-       "      <td>8</td>\n",
-       "      <td>11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Mean</th>\n",
-       "      <td>7.2</td>\n",
-       "      <td>7.4</td>\n",
-       "      <td>9.2</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        owl  fox deer\n",
-       "George    7   10    9\n",
-       "Jane      7    5   10\n",
-       "John     10    7    7\n",
-       "Lisa      5    7    9\n",
-       "Steve     7    8   11\n",
-       "Mean    7.2  7.4  9.2"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import os\n",
-    "import json\n",
-    "\n",
-    "export_folder = \"raw-data-export/\"\n",
-    "\n",
-    "results = pd.DataFrame(columns=image_names)\n",
-    "\n",
-    "for f in os.listdir(export_folder):\n",
-    "    rec_folder = os.path.join(export_folder, f)\n",
-    "    if not os.path.isdir(rec_folder):\n",
-    "        continue\n",
-    "    \n",
-    "    # Read all relevant files\n",
-    "    info_path = os.path.join(rec_folder, \"info.json\")\n",
-    "    with open(info_path) as info:\n",
-    "        rec_name = json.load(info)[\"template_data\"][\"recording_name\"]\n",
-    "\n",
-    "    events_path = os.path.join(rec_folder, \"events.csv\")\n",
-    "    events = pd.read_csv(events_path)\n",
-    "\n",
-    "    fixations_path = os.path.join(rec_folder, \"fixations.csv\")\n",
-    "    fixations = pd.read_csv(fixations_path)\n",
-    "\n",
-    "    # Calculate average fixation duration per recording and image\n",
-    "    for name in image_names:\n",
-    "        start_event = events[events[\"name\"] == name + \"_start\"]\n",
-    "        start_timestamp = start_event[\"timestamp [ns]\"].values[0]\n",
-    "        \n",
-    "        end_event = events[events[\"name\"] == name + \"_end\"]\n",
-    "        end_timestamp = end_event[\"timestamp [ns]\"].values[0]\n",
-    "\n",
-    "        condition = (fixations[\"start timestamp [ns]\"] >= start_timestamp) & (fixations[\"end timestamp [ns]\"] <= end_timestamp)\n",
-    "        image_fixations = fixations[condition]\n",
-    "\n",
-    "        results.loc[rec_name, name] = len(image_fixations[\"duration [ms]\"])\n",
-    "\n",
-    "results.loc[\"Mean\"] = results.mean()\n",
-    "\n",
-    "results"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Visualized as a bar chart it looks as follows:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Number of Fixations')"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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gIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYCDlCgBgIOUKAGAg5QoAYKBJy1VV/WJVXVVVX66qU6Y8FgDAejBZuaqqfZP8UZKjkjwyyb+pqkdOdTwAgPVgypmrJyb5cnd/pbt/kOTsJMdOeDwAgDU3Zbk6OMk/LHt+7WwMAGDD2jThvmsXY/0jG1WdmOTE2dPvVdVVE2Zizw5Mcv1ah1jP6vfWOgF3gc/1Sl67q1/XrHM+0yuo31y1z/RDdzU4Zbm6NslPLnt+SJJv7LxRd29Lsm3CHNwJVbW9u7eudQ4YyeeajcZnen2b8rTgRUl+qqoeVlX3TPL8JOdOeDwAgDU32cxVd99aVS9N8ldJ9k3yJ919xVTHAwBYD6Y8LZju/nCSD095DIZzipaNyOeajcZneh2r7h9ZYw4AwF3k9jcAAAMpV8ylqr5aVQeudQ7Ynao6qaqurKp3r3UWGKGqTq+qV611Du68SddcAayif5/kqO6+eq2DwHpRVZu6+9a1zrG3MXO1F6qqV1TVF2Y/L6+qV1fVSbPX3lJVn5w9fmZV/fnapoU9q6r/nuThSc6tqldW1Yeq6vNV9X+q6tFVtamqLqqqp8+2f0NVvX4tM8OuVNV/qqqrqurjSX5mNnZoVX2kqi6uqk9X1SNm45ur6v2zz/ZFVXX4bPz0qtpWVR9N8q61+9vsvZSrvUxVHZbkxUn+dZInJXlJkk8neepsk61Jfryq7pHkKbPXYF3r7t/K0kWKn5FkS5JLu/vRSX4nybtm/3P/zSRnVtUvJPnFJK9dm7Swa7Pfz89P8rgkxyV5wuylbUle1t2HJXlVkv82Gz8jyVu6+wlJfjXJ25ft7rAkx3b3b6xGdu7IacG9z1OSfLC7b0qSqvpAlm6yfVhVHZDkliSXZKlkPTXJSWsVFO6ip2TpH5p09yer6gFVdd/uvqKq/izJeUmePLuhPKwnT83S7+ebk6Sqzk1yryQ/l+R9Vf9yS5cfm/3580keuWz8PrPf40lybnf/v1VJzY9QrvY+u7vn41ezNKP1N0k+n6UZgEOTXLlqyWCMle5r+qgk30nyoFVLA3fOztdH2ifJd7r7sbvYdp8s/UfhDiVqVrZumiQdc3FacO9zQZJfqap7V9X+SZ6TpVN/F2RpuvmC2fPfSnJZuxAai+eCJC9Iktkaq+u7+4aqOi7JA5IckeStVXW/tQoIu3FBkudU1X6zGaijk9yc5Oqqem6S1JLHzLb/aJKX3v7mqnrsKudlN5SrvUx3X5LkT5N8NsmFSd7e3ZdmqVAdlOR/d/e3knw/1luxmE5PsrWqPp/kjUleNLuMyBuTnNDdf5fkbVlarwLrxuz383uSXJbk/fnh7+AXJDmhqj6X5Iokx87GT8rss15VX8zSf4pZB1yhHQBgIDNXAAADKVcAAAMpVwAAAylXAAADKVcAAAMpV8BCqKrvrXUGgHkoVwAAAylXwEKpqqdX1aeq6r1V9XdV9caqekFVfbaqLq+qQ2fbHV1VF1bVpVX18ap60Gx8c1V9rKouqao/rqprZhcZTVUdP9vPZbPX9l3LvyuwmJQrYBE9JsnJWbpX4AuT/HR3PzHJ25O8bLbNZ5I8qbsfl+TsJK+ejZ+W5JPd/fgkH0zykCSpqp9N8utJDp/dx+2fM7uNDsCd4cbNwCK6qLuvS5Kq+vss3WMtSS7P0k3Hk+SQJO+pqoOS3DPJ1bPxp2Tpnprp7o9U1T/Oxp+Z5LAkF81ufLtfkm9P/PcANiDlClhEtyx7fNuy57flh7/X/jDJm7v73NkNnE+fjddu9llJzuruU4cmBfY6TgsCG9V9k3x99vhFy8Y/k+R5SVJVz0py/9n4J5L8WlU9cPbaT1TVQ1cpK7CBKFfARnV6kvdV1aeTXL9s/LVJnlVVlyQ5Ksl1SW7s7i8meU2Sj1bV55N8LMlBqxsZ2Aiqu9c6A8CqqaofS/LP3X1rVT05yZmzBewAQ1hzBextHpLkvVW1T5IfJHnJGucBNhgzVwAAA1lzBQAwkHIFADCQcgUAMJByBQAwkHIFADCQcgUAMND/B+0eIz4GzIlTAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 720x360 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "plt.figure(figsize=(10, 5))\n",
-    "\n",
-    "for idx, name in enumerate(image_names):\n",
-    "    plt.bar(idx, results.loc[\"Mean\", name])\n",
-    "\n",
-    "plt.xticks(range(len(image_names)), image_names)\n",
-    "plt.xlabel(\"Image\")\n",
-    "plt.ylabel(\"Number of Fixations\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Conclusion\n",
-    "In this guide you saw how to use events to track the progress of an experiment. Note that this approach can be generalized to much more complex setups."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6 (v3.10.6:9c7b4bd164, Aug  1 2022, 17:13:48) [Clang 13.0.0 (clang-1300.0.29.30)]"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/src/invisible/real-time-api/track-your-experiment-progress-using-events/requirements.txt b/src/invisible/real-time-api/track-your-experiment-progress-using-events/requirements.txt
deleted file mode 100644
index 97b15e3cb..000000000
--- a/src/invisible/real-time-api/track-your-experiment-progress-using-events/requirements.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-# main dependency
-pupil-labs-realtime-api
-
-# introduction code dependencies
-matplotlib
-opencv-python-headless
-pandas
-
-# make simple mode work in Jupyter notebooks
-nest-asyncio
\ No newline at end of file
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deleted file mode 100644
index ceb9fb8dc..000000000
--- a/src/media/alpha-lab/banners/banners.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-    "img1": "Image credit: Midjourney (prompt) - “Neon image as :: 0.8 fun and modern optician's workshop:: 1.5 eye tracking glasses:: 1.5 digital art, 8k, color palette bright, --no drawing, --v 4 --ar 3:2“",
-    "img2": "Image credit: Midjourney (prompt) - “fluffy cute monster working in optometrist clinic, pixar style --v 4 --q 2 --ar 3:2“",
-    "img3": "Image credit: Midjourney (prompt) - “Neon image as :: 0.8 fun and modern optician's workshop:: 1.5 eye tracking glasses:: 1.5 digital art, 8k, color palette bright, --no drawing, --v 4 --ar 3:2 variations“",
-    "img4": "Image credit: Midjourney (prompt) - “a stylized and modern eye tracking laboratory operated by cute robots --ar 3:2“",
-    "img5": "Image credit: Midjourney (prompt) - “a stylized and modern eye tracking laboratory operated by cute robots“",
-    "img6": "Image credit: Midjourney (prompt) - “a fun and modern optician's workshop --ar 3:2 --v 4“",
-    "img7": "Image credit: Midjourney (prompt) - “fluffy cute monster working in optometrist clinic, pixar style --v 4 --q 2 --ar 3:2“",
-    "xmas": "Image credit: Midjourney (prompt) - “elves working on eye-tracking glasses in a colorful optician lab, pixel art, --v 4 --ar 3:2“"
-}
\ No newline at end of file
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diff --git a/src/media/neon/home_neon.jpg b/src/media/neon/home_neon.jpg
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----
-description: Neon and Pupil Cloud documentation ranging from getting started guides to explanations of advanced concepts, how-to guides, and references on export formats and APIs.
----
-
-# Neon & Cloud Documentation
-
-Welcome to the Neon & Pupil Cloud docs! In this section of the docs you will learn everything there is to learn about the Neon ecosystem. Start by making your first recording and proceed all the way to implementing advanced applications. Everything you need is here.
-
-## Getting Started
-
-This section is for new users who want to get to grips with the tools. Working through the tutorials will put you in a great position to follow along with the rest of the documentation and get started with your project.
-
-
-<div>
-  <div class="grid grid-cols-1 sm-grid-cols-2 md-grid-cols-3 lg-grid-cols-2 xl-grid-cols-3 gap-8">
-    <div v-for="(item,idxgS) in gettingStarted">
-      <v-img class="rounded" style="margin-bottom:32px;" :src="require(`../media/neon/overview-${idxgS + 1}.jpg`)"></v-img>
-      <p class="caption--1 font-weight-bold pb-3">{{ item.title }}</p>
-      <p class="caption--1">
-        {{ item.text }}
-      </p>
-    </div>
-  </div>
-</div>
-
-<router-link class="underline" to="/neon/getting-started/first-recording.html">View more</router-link>
-
-<v-divider />
-
-## Basic Concepts
-
-This section explains all relevant concepts in detail and provides background information on how everything works. If you want to understand a certain aspect in detail, check out the respective section here.
-
-<div class="pb-4">
-  <v-btn
-    v-for="(item,idxbC) in basicConcepts"
-    :key="idxbC"
-    outline
-    round
-    color="primary"
-    :to="item.link"
-    style="font-weight:normal;"
-  >
-    {{ item.title }}
-  </v-btn>
-</div>
-
-<router-link class="underline" to="/neon/basic-concepts/">View more</router-link>
-
-<v-divider />
-
-## Glasses & Companion
-
-This section gives an overview of Neon, as well as of the Companion device and Neon Companion app. It also contains guides on how to handle the hardware, e.g. how to swap frames.
-
-<div class="pb-4">
-  <v-btn
-    v-for="(item,idxGlC) in glassesAndCompanion"
-    :key="idxGlC"
-    outline
-    round
-    color="primary"
-    :to="item.link"
-    style="font-weight:normal;"
-  >
-    {{ item.title }}
-  </v-btn>
-</div>
-
-<router-link class="underline" to="/neon/glasses-and-companion/technical-overview/">View more</router-link>
-
-<v-divider />
-
-## Enrichments
-
-This section explains all the enrichments available in Pupil Cloud and guides you through using them successfully.
-
-<div class="pb-4">
-  <v-btn
-    v-for="(item,idxEnrich) in enrichments"
-    :key="idxEnrich"
-    outline
-    round
-    color="primary"
-    :to="item.link"
-    style="font-weight:normal;"
-  >
-    {{ item.title }}
-  </v-btn>
-</div>
-
-<router-link class="underline" to="/enrichments/">View more</router-link>
-
-<v-divider />
-
-## How-Tos
-
-This section contains a range of how-tos that address specific topics and challenges.
-
-Some highlights:
-
-<div class="howto-container">
-  <v-expansion-panel v-model="panelHowTo">
-    <v-expansion-panel-content
-      v-for="(item, idxHowTo) in panelContent"
-      :key="idxHowTo"
-      hide-actions
-    >
-      <template v-slot:header>
-        <div class="flex">
-          <div style="width:16px;margin-right:8px">{{ panelHowTo === idxHowTo ? '-' : '+' }}</div>
-          <span>{{ item.title }}</span>
-        </div>
-      </template>
-      <v-card>
-        <v-card-text class="pt-0 pl-5">
-          <div class="pb-2">
-            {{ item.text }}
-          </div>
-          <router-link class="underline" :to="item.link">Read more</router-link>
-        </v-card-text>
-      </v-card>
-    </v-expansion-panel-content>
-  </v-expansion-panel>
-</div>
-
-<v-divider />
-
-## Real-Time API
-
-The real-time API allows you to stream gaze data and scene video to any device connected to the same local network. Further, you can control all devices remotely to start and stop recordings or save events.
-
-This section contains a range of guides introducing the real-time API and common use cases of it.
-
-<div class="howto-container">
-  <v-expansion-panel v-model="panelRealTimeApi">
-    <v-expansion-panel-content
-      v-for="(item, idxApi) in realTimeAPI"
-      :key="idxApi"
-      hide-actions
-    >
-      <template v-slot:header>
-        <div class="flex">
-          <div style="width:16px;margin-right:8px">{{ panelRealTimeApi === idxApi ? '-' : '+' }}</div>
-          <span>{{ item.title }}</span>
-        </div>
-      </template>
-      <v-card>
-        <v-card-text class="pt-0 pl-5">
-          <div class="pb-2">
-            {{ item.text }}
-          </div>
-          <router-link class="underline" :to="item.link">Read more</router-link>
-        </v-card-text>
-      </v-card>
-    </v-expansion-panel-content>
-  </v-expansion-panel>
-</div>
-
-<v-divider />
-
-## Export Formats
-
-This section is where you will find references for [export formats](/export-formats/recording-data/neon), which you can consult when working with any data coming out of Pupil Cloud.
-
-<router-link class="underline" to="/export-formats/recording-data/neon">Jump to section</router-link>
-
-<v-divider />
-
-## Troubleshooting
-
-Having trouble with Neon or Pupil Cloud? We have collected the most common issues you may run into together with solutions in [this](/neon/troubleshooting) section.
-
-<router-link class="underline" to="/neon/troubleshooting">Jump to section</router-link>
-
-<script>
-export default {
-  data() {
-    return {
-      panelHowTo: null,
-      panelRealTimeApi: null,
-      gettingStarted: [
-        {
-          title: "Make Your First Recording",
-          text: "Using your Neon eye tracking system for the first time? Follow these steps to make your first recording!",
-        },
-        {
-          title: "Understand The Ecosystem",
-          text: "The Neon ecosystem contains a range of tools that support you during data collection and data analysis. Learn more about all the tools available to power your eye tracking research!",
-        },
-        {
-          title: "Analyse Recordings in Pupil Cloud",
-          text: "This guide shows you how to go from newly uploaded Neon recordings to enriched data ready for analysis and download using Pupil Cloud.",
-        }
-      ],
-      panelContent: [
-        {
-          title: "Monitor your Data Collection in Real-Time",
-          text: "All data generated by Neon can be monitored in real-time using the Neon Monitor app. To access the app simply visit pi.local in your browser while being connected to the same WiFi network as your Companion Device.",
-          link: "/neon/how-tos/data-collection/monitor-your-data-collection-in-real-time.html",
-        },
-        {
-          title: "Achieve super-precise Time Sync",
-          text: "For some applications, it is critical to accurately synchronize your Neon with another clock. That could be from a second Neon device, an external sensor, or a computer you use for stimulus presentation. This guide shows you how to achieve this with.",
-          link: "/neon/how-tos/data-collection/achieve-super-precise-time-sync.html",
-        },
-      ],
-      realTimeAPI: [
-        {
-          title: "Introduction",
-          text: "Get started using the real-time API here! This guide shows you how to get things running and what the available API calls are.",
-          link: "/neon/real-time-api/introduction/",
-        },
-        {
-          title: "Track your Experiment Progress using Events",
-          text: "Running a data collection for an experiment can be an organizational challenge. Using events, tracking the progress of an experiment becomes very easy and can often be fully automated though. Follow this guide to see how!",
-          link: "/neon/real-time-api/track-your-experiment-progress-using-events/",
-        },
-      ],
-      basicConcepts: [
-        {
-          title: "Gaze",
-          link: "/neon/basic-concepts/data-streams/#gaze",
-        },
-        {
-          title: "Fixations",
-          link: "/neon/basic-concepts/data-streams/#fixations",
-        },
-        {
-          title: "Wearers",
-          link: "/neon/basic-concepts/recordings-wearers-and-templates/#wearers",
-        },
-        {
-          title: "Templates",
-          link: "/neon/basic-concepts/recordings-wearers-and-templates/#templates",
-        },
-      ],
-      glassesAndCompanion: [
-        {
-          title: "Technical Overview",
-          link: "/neon/glasses-and-companion/technical-overview/",
-        },
-        {
-          title: "Companion Device",
-          link: "/neon/glasses-and-companion/companion-device/",
-        },
-      ],
-      enrichments: [
-        {
-          title: "Reference Image Mapper",
-          link: "/enrichments/reference-image-mapper/",
-        },
-        {
-          title: "Marker Mapper",
-          link: "/enrichments/marker-mapper/",
-        },
-        {
-          title: "Face Mapper",
-          link: "/enrichments/face-mapper/",
-        },
-        {
-          title: "Gaze Overlay",
-          link: "/enrichments/gaze-overlay/",
-        },
-      ],
-    };
-  },
-}
-</script>
diff --git a/src/neon/basic-concepts/events.md b/src/neon/basic-concepts/events.md
deleted file mode 100644
index 3e0d6c10b..000000000
--- a/src/neon/basic-concepts/events.md
+++ /dev/null
@@ -1,15 +0,0 @@
----
-permalink: /neon/basic-concepts/events
-description: Introduction to events and their usage in Pupil Cloud.
----
-
-# Events
-You can annotate relevant points in time in your recordings using **Events**. An event is essentially a timestamp in a recording with an assigned name. You can use events to filter your data temporally to the sections that interest you. 
-
-You may for example want to mark when a certain stimulus became visible and disappeared again with events called `stimulus_start` and `stimulus_end`. Using those, you can filter your data to only consider samples for which the stimulus was present.
-
-Events can also be used for the definition of [enrichments](/enrichments) to indicate what sections of your recordings they should be calculated on.
-
-You can add events to your recordings post hoc in Pupil Cloud, or you can create them at recording time using the [real-time API](/neon/real-time-api/introduction).
-
-Existing events can be downloaded as part of the respective recording downloads.
\ No newline at end of file
diff --git a/src/neon/glasses-and-companion/companion-device.md b/src/neon/glasses-and-companion/companion-device.md
deleted file mode 100644
index 75e5e5dd4..000000000
--- a/src/neon/glasses-and-companion/companion-device.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-permalink: /neon/glasses-and-companion/companion-device
-description: Information on the Companion device and Neon Companion app.
----
-
-# Companion Device
-The Companion device is a flagship Android smartphone. It is a regular phone that is not customized or modified in any way. To ensure maximum stability and performance we can only support a small number of carefully selected and tested models. The Neon Companion app is tuned to work with these particular models as we require full control over various low-level functions of the hardware. 
-
-The models we currently support are OnePlus 8, OnePlus 8T, and OnePlus 10 Pro.
-
-If you want to replace or add an extra Companion device you can purchase it [directly from us](https://pupil-labs.com/products/neon) or from any other distributor. The Neon Companion app is free and can be downloaded from the [Play Store](https://play.google.com/store/apps/details?id=com.pupillabs.neoncomp).
-
-Using a fully charged OnePlus 8 device you get around 150 minutes of continuous recording time. You can extend this duration by simultaneously charging the phone during a recording [using a powered USB-C hub](/neon/glasses-and-companion/companion-device#using-a-usb-c-hub).
-
-## Companion Device Updates
-
-### Neon Companion app
-Make sure to update the Neon Companion app on a regular basis. The latest version will always be available on the 
-[Play Store](https://play.google.com/store/apps/details?id=com.pupillabs.neoncomp).
-
-### Android OS
-We ship each Companion Device with a specific Android Version, carefully tested to ensure robustness and stability.
-
-:::danger
-We recommend that you don't allow Android system updates on your device. Some Android versions have issues with accessing 
-USB devices, rendering them incompatible with Neon.
-:::
-
-If you purchased your device from a third-party distributor, you'll need to ensure that the correct Android version is installed. The currently 
-supported Android versions are as follows:
-- On **OnePlus 8** and **8T**: Android 11
-- On **OnePlus 10 Pro**: Android 12 and 13
-
-:::tip
-Should you have upgraded to an incompatible Android version by accident, you have the
-option to rollback to a compatible version. You can find the instructions
-[here](/neon/troubleshooting/#i-accidentally-updated-my-companion-device-to-an-incompatible-android-version)
-:::
-
-
-## Using a USB-C Hub
-The capabilities of the Companion device can be extended by connecting it to a USB-C hub. You can still connect Neon to the Companion device through the hub. For this to work, the hub needs to provide a USB-C port that supports data transfer (some USB-C ports only support power delivery!). 
-
-
-Most importantly using a hub allows you to:
-- **charge the phone while recording**: if the hub supports power delivery, you can connect a power source to it to charge the Companion device even while it is recording. This allows to arbitrarily extend the recording duration.
-- **connect an ethernet cable**: if the hub has an ethernet socket, you can connect the phone to the internet with it. This can be useful to increase the upload speed of recordings to Pupil Cloud or to transfer real-time data with very low latency.
-
-::: tip
-Not all USB-C hubs are compatible with Android and sometimes compatibility is difficult to check in advance! We have tested for example [this](https://www.amazon.de/dp/B08CKXNJZS/) hub successfully, which supports both power delivery and ethernet.
-
-Note that the original OnePlus charger is not compatible with regular hubs (including the linked one) because it uses non-standard power delivery. Other regular USB chargers should work though.
-:::
diff --git a/src/neon/glasses-and-companion/hardware-handling/clean-and-disinfect.md b/src/neon/glasses-and-companion/hardware-handling/clean-and-disinfect.md
deleted file mode 100644
index 853d807b6..000000000
--- a/src/neon/glasses-and-companion/hardware-handling/clean-and-disinfect.md
+++ /dev/null
@@ -1,18 +0,0 @@
----
-permalink: /neon/glasses-and-companion/hardware-handling/clean-and-disinfect
-description: How-To guide on cleaning and disinfecting Neon.
----
-
-# Clean and Disinfect
-
-Neon contains cameras and sensitive electronic components, do not rinse or wet-clean.
-
-- Glasses lenses can be cleaned with the provided microfiber cloth.
-- Scene camera and eye camera lenses can be carefully cleaned with the provided microfiber cloth if dust is visible.
-
-### Disinfecting Frames
-All Neons are cleaned with a disinfectant before shipping. You may want to disinfect the frames between uses.
-
-The disinfectant we use is made from 22.0g Ethanol, 21.0g 2-Propanol, 8.0g 1-Propanol per 100 grams of solution. One such brand name that we use is "Vibasept". We use the wetted towelettes (wipes). Similar products should be available globally under different brand names.
-
-When cleaning, be careful around the eye cameras, world camera, and USB connection. Liquid from disinfectant might damage sensitive electronics inside the frame.
\ No newline at end of file
diff --git a/src/neon/glasses-and-companion/hardware-handling/frames.md b/src/neon/glasses-and-companion/hardware-handling/frames.md
deleted file mode 100644
index 9e8ee5d46..000000000
--- a/src/neon/glasses-and-companion/hardware-handling/frames.md
+++ /dev/null
@@ -1,29 +0,0 @@
----
-permalink: /neon/glasses-and-companion/hardware-handling/frames
-description: Guide on how to swap a Neon module between two frames.
----
-
-# Swapping Frames
-
-Many different frames are [available](https://pupil-labs.com/products/neon/specs/#frame-specs) for the Neon module, which enables the usage of Neon in various different applications. You can easily detach the Neon module from one frame and attach it to another. 
-
-All you need to do is to loosen the two screws fixating the Neon module into the nest of the first frame, plug the module into the nest of the second frame, and tighten the screws again. The screwdriver needed for this is a Hex 1.5.
-
-<div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require('../../../media/neon/swap_frames.jpg')"
-  width="100%" 
-  alt="Image of a Neon module attached to a frame"
-  title="Image of a Neon module attached to a frame" />
-</div>
-
-# Design your own Frame
-You can design your own custom frame and integrate Neon into whichever form factor you want. To support this, we offer the "Bare Metal" frame, which only includes the "nest" PCB and USB cable. These are the only components you need to operate the Neon module and you can design your custom frame around them.
-
-CAD models of the Neon module and nest are available [here](https://github.com/pupil-labs/neon-geometry). A model of the "Just act natural" frame is also included as a template to kickstart your design process!
-
-<div class="mb-4" style="display:flex;justify-content:center;">
-  <v-img class="rounded" :src="require('../../../media/neon/bare_metal.jpg')"
-  width="80%" 
-  alt="Image of a Bare Metal frame"
-  title="Image of a Bare Metal frame" />
-</div>
\ No newline at end of file
diff --git a/src/neon/glasses-and-companion/technical-overview.md b/src/neon/glasses-and-companion/technical-overview.md
deleted file mode 100644
index fe1b7dcd6..000000000
--- a/src/neon/glasses-and-companion/technical-overview.md
+++ /dev/null
@@ -1,43 +0,0 @@
----
-permalink: /neon/glasses-and-companion/technical-overview
-description: A technical overview of Neon.
----
-
-# Technical Overview
-
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    :src="require('../../media/neon/technical_overview_1.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
-
-Neon connects to the Companion device (Android phone) with a USB-C cable. The Companion device supplies Neon with power and receives the raw sensor data for storage and further processing. Use the Neon Companion app to make recordings, preview real-time gaze and world video, stream data over the network, set up wearers, select templates, and preview and upload recordings to Pupil Cloud.
-
-
-<div class="pb-4" style="display:flex;justify-content:center;">
-  <v-img
-    :src="require('../../media/neon/technical_overview_2.jpg')"
-    max-width=100%
-  >
-  </v-img>
-</div>
-
-The Neon module is filled with sensors and electronics:
-
-- **Eye Cameras**: A binocular pair of infrared cameras with matching 850nm infrared illuminator **LEDs** are used to capture [eye videos](/neon/basic-concepts/data-streams/#eye-videos). The raw data is saved with each recording and is used for real-time [gaze](/neon/basic-concepts/data-streams/#gaze) estimation.
-
-- **IR LEDs**: One infrared LED is located on each arm of the module. The LEDs illuminate the eyes of the wearer to improve image quality in dark environments.
-
-- **Scene Camera**: A front-facing scene camera is located at the center of the module capturing [scene video](/neon/basic-concepts/data-streams/#scene-video). A **microphone** is integrated in the module to capture [audio](/neon/basic-concepts/data-streams/#audio). Capturing audio is optional and settable in the Neon Companion app settings.
- 
-- **IMU**: A 9-degrees-of-freedom IMU is integrated into the module. It captures the [inertia](/neon/basic-concepts/data-streams/#inertial-measurements) of the glasses, including translational acceleration, rotational speed, magnetic orientation, pitch, yaw, and roll.
-
-- **Data and Power Interface**: A USB connector is located at the front of the module. Through this connector, the module connects to a "nest" which is typically located in a glasses-like frame. Attached to the nest is a USB-C cable which connects to the Companion device.
-
-- **Serial Number QR**: A QR-Code is located at the back of the module, which contains the serial number of the device.
-
-- **Mounting Screws**: The module is attached to the nest of a frame with two screws.
-
-- **Indicator LEDs**: The module has several indicator LEDs. The red LED will e.g. start blinking to indicate issues like a low battery.
\ No newline at end of file
diff --git a/src/neon/real-time-api/introduction/.gitignore b/src/neon/real-time-api/introduction/.gitignore
deleted file mode 100644
index 42061c01a..000000000
--- a/src/neon/real-time-api/introduction/.gitignore
+++ /dev/null
@@ -1 +0,0 @@
-README.md
\ No newline at end of file
diff --git a/src/neon/real-time-api/introduction/README.ipynb b/src/neon/real-time-api/introduction/README.ipynb
deleted file mode 100644
index bdc96279f..000000000
--- a/src/neon/real-time-api/introduction/README.ipynb
+++ /dev/null
@@ -1 +0,0 @@
-{"cells":[{"attachments":{},"cell_type":"markdown","metadata":{},"source":["---\n","permalink: /neon/real-time-api/introduction\n","description: Beginner guide on using the real-time API client to remote control Neon devices and stream data.\n","isNotebook: true\n","---\n","\n","# Introduction\n","For some applications it is critical to have access to eye tracking data in real time. Imagine for example an application utilizing gaze interaction to allow users to press a button using only their eyes.\n","\n","In other cases it may be important to automatically start or stop a recording and save [events](/neon/basic-concepts/events/). For example, you might want to launch a screen-based experiment and have the recording start automatically when the stimulus presentation begins. Additionally, you might want to save the timestamps of when the subject interacted with the screen.\n","\n","All of this is possible for developers using the [Realtime Network API](https://github.com/pupil-labs/realtime-network-api). It allows you to stream scene video, gaze, and IMU data to any device connected to the same local network. Further, you can control all devices remotely to start and stop recordings or save events.\n","\n","If you are not a developer and simply need a tool to monitor and control all your devices in real-time, check out [Neon Monitor](/neon/how-tos/data-collection/monitor-your-data-collection-in-real-time.html).\n","\n","We have created a Python client library for the API that makes it very easy to use. If you require access to the API from a different programming language, you will have to write your own client. Please see the documentation [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/guides/under-the-hood.html).\n","\n","To install the client library execute the following command in a terminal:\n","\n","```\n","pip install pupil-labs-realtime-api\n","```"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["### Using the Client Library\n","The client comes in two modes, `simple` and `async`. The simple mode is very easy to use and is the one we will focus on in this tutorial.\n","\n","::: tip\n","You can download the code for this guide [here](https://github.com/pupil-labs/pupil-docs/tree/master/src/neon/real-time-api/introduction).\n",":::\n","\n","The async mode is using Python's [asyncio](https://docs.python.org/3/library/asyncio.html) in order to implement non-blocking asynchronous communication. The calls made using the simple mode are blocking. If you don't know what any of this means, that's okay! The simple mode suffices for most use-cases and you usually do not need to understand the differences!\n","\n","The simple client is located in [`pupil_labs.realtime_api.simple`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#simple-api). Using the [`discover_one_device`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.discover_one_device) function, we can connect to a Neon device connected to your local network. Make sure the Neon Companion app is running! If no device can be found, please check [this section](/neon/troubleshooting/#i-can-not-connect-to-devices-using-the-real-time-api) in our troubleshooting area! "]},{"cell_type":"code","execution_count":2,"metadata":{},"outputs":[],"source":["# The two lines below are only needed to execute this code in a Jupyter Notebook\n","import nest_asyncio\n","nest_asyncio.apply()\n","\n","from pupil_labs.realtime_api.simple import discover_one_device\n","device = discover_one_device()"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["With the device connected, you can check various properties of the Companion device and the Neon:"]},{"cell_type":"code","execution_count":2,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Phone IP address: 192.168.20.69\n","Phone name: Neon Companion\n","Battery level: 58%\n","Free storage: 30.5 GB\n","Serial number of connected glasses: 676789\n"]}],"source":["print(f\"Phone IP address: {device.phone_ip}\")\n","print(f\"Phone name: {device.phone_name}\")\n","print(f\"Battery level: {device.battery_level_percent}%\")\n","print(f\"Free storage: {device.memory_num_free_bytes / 1024**3:.1f} GB\")\n","print(f\"Serial number of connected glasses: {device.module_serial}\")"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["### Remote Control of Neon Devices\n","Use the [`recording_start`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.recording_start)\n","and [`recording_stop_and_save`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.recording_stop_and_save)\n","methods to remotely start and stop recordings."]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Started recording with id 2f99d9f9-f009-4015-97dd-eb253de443b0\n"]}],"source":["import time\n","\n","recording_id = device.recording_start()\n","print(f\"Started recording with id {recording_id}\")\n","\n","time.sleep(5)\n","\n","device.recording_stop_and_save()"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["While a recording is running, you can save [events](/neon/basic-concepts/events)\n","using the [`send_event`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.send_event) method.\n","By default, the Neon device receiving the event will assign a timestamp to it,\n","using the time of arrival. Optionally, you can set a custom nanosecond timestamp for your event instead."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Event(name=None recording_id=None timestamp_unix_ns=1642599117043000000 datetime=2022-01-19 14:31:57.043000)\n","Event(name=None recording_id=fd8c98ca-cd6c-4d3f-9a05-fbdb0ef42668 timestamp_unix_ns=1642599122555200500 datetime=2022-01-19 14:32:02.555201)\n"]}],"source":["device.recording_start()\n","\n","print(device.send_event(\"test event 1\"))\n","\n","time.sleep(5)\n","\n","# send event with current timestamp\n","print(device.send_event(\"test event 2\", event_timestamp_unix_ns=time.time_ns()))\n","\n","device.recording_stop_and_save()"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["### Streaming Scene Video and Gaze Data\n","You can receive the current scene camera frame using the\n","[`receive_scene_video_frame`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_scene_video_frame) method.\n","Additionally, this method returns the UTC timestamp of the frame in seconds.\n","The image's color space is BGR."]},{"cell_type":"code","execution_count":3,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["This scene camera image was recorded at 2023-05-25 13:59:58.347051\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["from datetime import datetime\n","import matplotlib.pyplot as plt\n","import cv2\n","\n","eye_sample = device.receive_scene_video_frame()\n","\n","dt = datetime.fromtimestamp(eye_sample.timestamp_unix_seconds)\n","print(f\"This scene camera image was recorded at {dt}\")\n","\n","# matplotlib expects images to be in RGB rather than BGR.\n","# Thus we use OpenCv to convert color spaces.\n","eye_image_rgb = cv2.cvtColor(eye_sample.bgr_pixels, cv2.COLOR_BGR2RGB)\n","\n","plt.figure(figsize=(10, 10))\n","plt.imshow(eye_image_rgb)\n","plt.axis(\"off\");"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["Analogously, you can receive gaze data using the [`receive_gaze_datum`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_gaze_datum) method,\n","which returns a quadruple of x- and y-coordinate, a boolean whether the glasses are being worn,\n","and a timestamp. The timestamp is again a UTC timestamp in seconds."]},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["This gaze sample was recorded at 2023-05-25 13:59:58.776933\n"]},{"data":{"text/plain":["(1200.0, 0.0)"]},"execution_count":4,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["gaze_sample = device.receive_gaze_datum()\n","\n","dt = datetime.fromtimestamp(gaze_sample.timestamp_unix_seconds)\n","print(f\"This gaze sample was recorded at {dt}\")\n","\n","plt.figure(figsize=(10, 10))\n","plt.scatter(gaze_sample.x, gaze_sample.y, s=2000, facecolors='none', edgecolors='r')\n","plt.xlim(0, 1600)\n","plt.ylim(1200, 0)"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["If you tried to correlate the scene video and gaze data to e.g. make a gaze overlay visualization, you might find that there is small temporal misalignment if you simply use the most recent data.\n","This is because the gaze data is much smaller and is transferred more quickly. When plotting the most recent samples, the scene video would lag slightly behind.\n","\n","To compensate for this you need to align the incoming data based on it's timestamps.\n","The client library contains a method [`receive_matched_scene_video_frame_and_gaze`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_matched_scene_video_frame_and_gaze) to do all of this automatically.\n","It returns the most recent pair of scene video and gaze data that matches temporally."]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["This gaze sample was recorded at 2023-05-25 14:00:46.761394\n","This scene video was recorded at 2023-05-25 14:00:46.760916\n","Temporal difference between both is 0.5 ms\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["eye_sample, gaze_sample = device.receive_matched_scene_video_frame_and_gaze()\n","\n","dt_gaze = datetime.fromtimestamp(gaze_sample.timestamp_unix_seconds)\n","dt_scene = datetime.fromtimestamp(eye_sample.timestamp_unix_seconds)\n","print(f\"This gaze sample was recorded at {dt_gaze}\")\n","print(f\"This scene video was recorded at {dt_scene}\")\n","print(f\"Temporal difference between both is {abs(gaze_sample.timestamp_unix_seconds - eye_sample.timestamp_unix_seconds) * 1000:.1f} ms\")\n","\n","eye_image_rgb = cv2.cvtColor(eye_sample.bgr_pixels, cv2.COLOR_BGR2RGB)\n","plt.figure(figsize=(10, 10))\n","plt.imshow(eye_image_rgb)\n","plt.scatter(gaze_sample.x, gaze_sample.y, s=200, facecolors='none', edgecolors='r')\n","plt.axis(\"off\");"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["## Streaming Eye Video\n","Data generated by the eye cameras can be received using the [`receive_eyes_frame`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_eyes_frame) method. It returns a UTC timestamp in seconds and an image frame containing both eye images stitched together."]},{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["These eye camera images were recorded at 2023-05-25 14:00:07.169702\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["eyes_sample = device.receive_eyes_video_frame()\n","\n","dt = datetime.fromtimestamp(eyes_sample.timestamp_unix_seconds)\n","print(f\"These eye camera images were recorded at {dt}\")\n","\n","# matplotlib expects images to be in RGB rather than BGR.\n","# Thus we use OpenCv to convert color spaces.\n","eyes_image_rgb = cv2.cvtColor(eyes_sample.bgr_pixels, cv2.COLOR_BGR2RGB)\n","\n","plt.figure(figsize=(10, 10))\n","plt.imshow(eyes_image_rgb)\n","plt.axis(\"off\");"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["## Streaming IMU Data\n","Data generated by the IMU can be received using the [`receive_imu_datum`](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html#pupil_labs.realtime_api.simple.Device.receive_imu_datum) method. It returns a UTC timestamp in seconds, the head pose as a quaternion, gyro data, and accelerometer data as follows."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["imu_sample = device.receive_imu_datum()\n","\n","dt = datetime.fromtimestamp(imu_sample.timestamp_unix_seconds)\n","print(f\"This IMU sample was recorded at {dt}\")\n","\n","print(f\"It contains the following data:\")\n","\n","print(f\"Head pose:\")\n","print(imu_sample.quaternion)\n","\n","print(f\"Acceleration data:\")\n","print(imu_sample.accel_data)\n","\n","print(f\"Gyro data:\")\n","print(imu_sample.gyro_data)"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["```\n","This IMU sample was recorded at 2023-05-25 11:23:05.749155\n","It contains the following data:\n","Head pose (as quaternion)\n","Quaternion(x=0.6989051699638367, y=0.6990674734115601, z=0.14088384807109833, w=0.05466122552752495)\n","Acceleration data\n","Data3D(x=0.1142578125, y=0.25927734375, z=-0.93701171875)\n","Gyro data\n","Data3D(x=0.1506805419921875, y=-0.1316070556640625, z=-0.0858306884765625)\n","```"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["### Conclusion"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["Using the simple mode of the real-time API client you can easily access scene video, gaze, and IMU data in real-time as well as remote control your Neon devices.\n","\n","You can find the full API reference [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/api/simple.html).\n","\n","For an example implementation on how to use the real-time API in action, please see [Track your Experiment Progress using Events](/neon/real-time-api/track-your-experiment-progress-using-events/).\n","\n","To learn more about the `async` mode of the client see [here](https://pupil-labs-realtime-api.readthedocs.io/en/stable/examples/async.html)."]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.8.10"},"vscode":{"interpreter":{"hash":"b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"}}},"nbformat":4,"nbformat_minor":4}
diff --git a/src/neon/real-time-api/introduction/requirements.txt b/src/neon/real-time-api/introduction/requirements.txt
deleted file mode 100644
index d5de4ae7e..000000000
--- a/src/neon/real-time-api/introduction/requirements.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-# main dependency
-pupil-labs-realtime-api
-
-# introduction code dependencies
-matplotlib
-opencv-python-headless
-
-# make simple mode work in Jupyter notebooks
-nest-asyncio
\ No newline at end of file
diff --git a/src/neon/real-time-api/track-your-experiment-progress-using-events/.gitignore b/src/neon/real-time-api/track-your-experiment-progress-using-events/.gitignore
deleted file mode 100644
index 42061c01a..000000000
--- a/src/neon/real-time-api/track-your-experiment-progress-using-events/.gitignore
+++ /dev/null
@@ -1 +0,0 @@
-README.md
\ No newline at end of file
diff --git a/src/neon/real-time-api/track-your-experiment-progress-using-events/README.ipynb b/src/neon/real-time-api/track-your-experiment-progress-using-events/README.ipynb
deleted file mode 100644
index 3c7e142b9..000000000
--- a/src/neon/real-time-api/track-your-experiment-progress-using-events/README.ipynb
+++ /dev/null
@@ -1,601 +0,0 @@
-{
- "cells": [
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "permalink: /neon/real-time-api/track-your-experiment-progress-using-events/\n",
-    "description: How-To guide tracking experiment progress using events and the real-time API.\n",
-    "isNotebook: true\n",
-    "---\n",
-    "\n",
-    "# Track your Experiment Progress using Events\n",
-    "Running a data collection for an experiment can be an organizational challenge. Many experiments are running through different phases and keeping track of what data belongs to what phase can be one of the difficulties.\n",
-    "\n",
-    "Using [events](/neon/basic-concepts/events), tracking the progress of an experiment becomes very easy and can often be fully automated though.\n",
-    "\n",
-    "In this guide we will demonstrate how to save events at recording time and how to utilize them later during analysis to easily keep track of what phase a certain section of data was recorded in.\n",
-    "\n",
-    "To this end we are assuming a minimal experiment setup: we want to record subjects while they observe a series of images of animals and analyse how the average fixation duration differs for each image.\n",
-    "\n",
-    "::: tip\n",
-    "You can download the example data used in this guide [here](https://drive.google.com/file/d/1O-HJJbJWRBgcZS1sowCX2srmME5hTub0/view?usp=sharing) and find the code [here](https://github.com/pupil-labs/pupil-docs/tree/master/src/neon/real-time-api/track-your-experiment-progress-using-events/).\n",
-    ":::\n",
-    "\n",
-    "## How to use Events to keep track?\n",
-    "Events are essentially timestamps within a recording that have been marked with a name. We need to keep track of when a specific image is shown during a recording, so we can associate the according fixation data with that image. Thus, we will create an event at the start and end of each image presentation to mark this section.\n",
-    "\n",
-    "Events can either be created post hoc in the project editor, or at recording time using either the [real-time API](/neon/real-time-api/introduction/) or [Neon Monitor](/neon/how-tos/data-collection/monitor-your-data-collection-in-real-time.html). In this example we are interested in fully automating the event creation and will thus use the real-time API to save events, but depending on your use-case you could use either of those methods.\n",
-    "\n",
-    "## Implementation\n",
-    "The implementation for stimulus presentation is minimal. The images are loaded using OpenCV and are displayed in a full-screen window for fixed amount of time."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import time\n",
-    "import cv2\n",
-    "\n",
-    "image_names = [\"owl\", \"fox\", \"deer\"]\n",
-    "\n",
-    "def prepare_stimulus_presentation():\n",
-    "    cv2.namedWindow(\"Stimulus\", cv2.WINDOW_NORMAL)\n",
-    "    cv2.setWindowProperty(\"Stimulus\", cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)\n",
-    "\n",
-    "def present_stimulus(img):\n",
-    "    presentation_time = 5\n",
-    "    start_time = time.perf_counter()\n",
-    "    while time.perf_counter() - start_time < presentation_time:\n",
-    "        cv2.imshow(\"Stimulus\", img)\n",
-    "        cv2.waitKey(1)\n",
-    "\n",
-    "def cleanup_stimulus_presentation():\n",
-    "    cv2.destroyAllWindows()\n",
-    "    "
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Using the real-time API, we now have to connect to a Neon device for recording. We can remotely start the recording and save events before and after stimulus presentation. The names of the events are chosen as `<animal name>_start` and `<animal name>_end` depending on the animal that is shown.\n",
-    "\n",
-    "Once all images have been shown, the recording is stopped remotely."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# The 2 lines below are only needed when accessing \n",
-    "# the real-time API from a Jupyter notebook\n",
-    "import nest_asyncio\n",
-    "nest_asyncio.apply()\n",
-    "\n",
-    "from pupil_labs.realtime_api.simple import discover_one_device\n",
-    "\n",
-    "device = discover_one_device()\n",
-    "device.recording_start()\n",
-    "\n",
-    "# Wait for a couple seconds before starting\n",
-    "# to give all sensors enough time to initialize\n",
-    "time.sleep(3)\n",
-    "\n",
-    "prepare_stimulus_presentation()\n",
-    "\n",
-    "for name in image_names:\n",
-    "    img = cv2.imread(name + \".jpg\")\n",
-    "\n",
-    "    device.send_event(name + \"_start\")\n",
-    "    present_stimulus(img)    \n",
-    "    device.send_event(name + \"_end\")\n",
-    "\n",
-    "cleanup_stimulus_presentation()\n",
-    "device.recording_stop_and_save()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "That is all we have to do during data collection. Once all recordings have uploaded to Pupil Cloud, we create a project with them in order to export them using the \"Downloads\" view. In the project editor we can already see the events in every recording.\n",
-    "\n",
-    "<div style=\"display:flex;justify-content:center;\" class=\"pb-4\">\n",
-    "  <v-img\n",
-    "    :src=\"require('../../../media/invisible/how-tos/project-editor-screenshot.png')\"\n",
-    "    max-width=100%\n",
-    "  >\n",
-    "  </v-img>\n",
-    "</div>\n",
-    "\n",
-    "Let's look at at example event and fixation data from the raw data export."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>recording id</th>\n",
-       "      <th>timestamp [ns]</th>\n",
-       "      <th>name</th>\n",
-       "      <th>type</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417853032000000</td>\n",
-       "      <td>recording.begin</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417856195000000</td>\n",
-       "      <td>owl_start</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417861273000000</td>\n",
-       "      <td>owl_end</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417861399000000</td>\n",
-       "      <td>fox_start</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417866475000000</td>\n",
-       "      <td>fox_end</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417866613000000</td>\n",
-       "      <td>deer_start</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417872348000000</td>\n",
-       "      <td>deer_end</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1644417872441000000</td>\n",
-       "      <td>recording.end</td>\n",
-       "      <td>recording</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                           recording id       timestamp [ns]             name  \\\n",
-       "0  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417853032000000  recording.begin   \n",
-       "1  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417856195000000        owl_start   \n",
-       "2  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417861273000000          owl_end   \n",
-       "3  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417861399000000        fox_start   \n",
-       "4  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417866475000000          fox_end   \n",
-       "5  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417866613000000       deer_start   \n",
-       "6  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417872348000000         deer_end   \n",
-       "7  49e4a972-7d6b-4b42-b931-bf64b91f952b  1644417872441000000    recording.end   \n",
-       "\n",
-       "        type  \n",
-       "0  recording  \n",
-       "1  recording  \n",
-       "2  recording  \n",
-       "3  recording  \n",
-       "4  recording  \n",
-       "5  recording  \n",
-       "6  recording  \n",
-       "7  recording  "
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "events = pd.read_csv(\"raw-data-export/george-49e4a972/events.csv\")\n",
-    "events"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>section id</th>\n",
-       "      <th>recording id</th>\n",
-       "      <th>fixation id</th>\n",
-       "      <th>start timestamp [ns]</th>\n",
-       "      <th>end timestamp [ns]</th>\n",
-       "      <th>duration [ms]</th>\n",
-       "      <th>fixation x [px]</th>\n",
-       "      <th>fixation y [px]</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1644417853698031394</td>\n",
-       "      <td>1644417853910023394</td>\n",
-       "      <td>211</td>\n",
-       "      <td>651.751</td>\n",
-       "      <td>731.750</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1644417853978009394</td>\n",
-       "      <td>1644417854338008394</td>\n",
-       "      <td>359</td>\n",
-       "      <td>528.268</td>\n",
-       "      <td>881.095</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1644417854410160394</td>\n",
-       "      <td>1644417856542104394</td>\n",
-       "      <td>2131</td>\n",
-       "      <td>655.423</td>\n",
-       "      <td>668.033</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1644417856590003394</td>\n",
-       "      <td>1644417857238017394</td>\n",
-       "      <td>648</td>\n",
-       "      <td>523.187</td>\n",
-       "      <td>677.434</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5b682999-fb7d-42c3-9da0-2253ece6299b</td>\n",
-       "      <td>49e4a972-7d6b-4b42-b931-bf64b91f952b</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1644417857298000394</td>\n",
-       "      <td>1644417858693973394</td>\n",
-       "      <td>1395</td>\n",
-       "      <td>772.743</td>\n",
-       "      <td>640.843</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                             section id                          recording id  \\\n",
-       "0  5b682999-fb7d-42c3-9da0-2253ece6299b  49e4a972-7d6b-4b42-b931-bf64b91f952b   \n",
-       "1  5b682999-fb7d-42c3-9da0-2253ece6299b  49e4a972-7d6b-4b42-b931-bf64b91f952b   \n",
-       "2  5b682999-fb7d-42c3-9da0-2253ece6299b  49e4a972-7d6b-4b42-b931-bf64b91f952b   \n",
-       "3  5b682999-fb7d-42c3-9da0-2253ece6299b  49e4a972-7d6b-4b42-b931-bf64b91f952b   \n",
-       "4  5b682999-fb7d-42c3-9da0-2253ece6299b  49e4a972-7d6b-4b42-b931-bf64b91f952b   \n",
-       "\n",
-       "   fixation id  start timestamp [ns]   end timestamp [ns]  duration [ms]  \\\n",
-       "0            1   1644417853698031394  1644417853910023394            211   \n",
-       "1            2   1644417853978009394  1644417854338008394            359   \n",
-       "2            3   1644417854410160394  1644417856542104394           2131   \n",
-       "3            4   1644417856590003394  1644417857238017394            648   \n",
-       "4            5   1644417857298000394  1644417858693973394           1395   \n",
-       "\n",
-       "   fixation x [px]  fixation y [px]  \n",
-       "0          651.751          731.750  \n",
-       "1          528.268          881.095  \n",
-       "2          655.423          668.033  \n",
-       "3          523.187          677.434  \n",
-       "4          772.743          640.843  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fixations = pd.read_csv(\"raw-data-export/george-49e4a972/fixations.csv\")\n",
-    "fixations.head()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can now simply iterate through the recordings and filter the fixation data using the start and end timestamps, to calculate the average number of fixations for every image and subject."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>owl</th>\n",
-       "      <th>fox</th>\n",
-       "      <th>deer</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>George</th>\n",
-       "      <td>7</td>\n",
-       "      <td>10</td>\n",
-       "      <td>9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Jane</th>\n",
-       "      <td>7</td>\n",
-       "      <td>5</td>\n",
-       "      <td>10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>John</th>\n",
-       "      <td>10</td>\n",
-       "      <td>7</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Lisa</th>\n",
-       "      <td>5</td>\n",
-       "      <td>7</td>\n",
-       "      <td>9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Steve</th>\n",
-       "      <td>7</td>\n",
-       "      <td>8</td>\n",
-       "      <td>11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Mean</th>\n",
-       "      <td>7.2</td>\n",
-       "      <td>7.4</td>\n",
-       "      <td>9.2</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        owl  fox deer\n",
-       "George    7   10    9\n",
-       "Jane      7    5   10\n",
-       "John     10    7    7\n",
-       "Lisa      5    7    9\n",
-       "Steve     7    8   11\n",
-       "Mean    7.2  7.4  9.2"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import os\n",
-    "import json\n",
-    "\n",
-    "export_folder = \"raw-data-export/\"\n",
-    "\n",
-    "results = pd.DataFrame(columns=image_names)\n",
-    "\n",
-    "for f in os.listdir(export_folder):\n",
-    "    rec_folder = os.path.join(export_folder, f)\n",
-    "    if not os.path.isdir(rec_folder):\n",
-    "        continue\n",
-    "    \n",
-    "    # Read all relevant files\n",
-    "    info_path = os.path.join(rec_folder, \"info.json\")\n",
-    "    with open(info_path) as info:\n",
-    "        rec_name = json.load(info)[\"template_data\"][\"recording_name\"]\n",
-    "\n",
-    "    events_path = os.path.join(rec_folder, \"events.csv\")\n",
-    "    events = pd.read_csv(events_path)\n",
-    "\n",
-    "    fixations_path = os.path.join(rec_folder, \"fixations.csv\")\n",
-    "    fixations = pd.read_csv(fixations_path)\n",
-    "\n",
-    "    # Calculate average fixation duration per recording and image\n",
-    "    for name in image_names:\n",
-    "        start_event = events[events[\"name\"] == name + \"_start\"]\n",
-    "        start_timestamp = start_event[\"timestamp [ns]\"].values[0]\n",
-    "        \n",
-    "        end_event = events[events[\"name\"] == name + \"_end\"]\n",
-    "        end_timestamp = end_event[\"timestamp [ns]\"].values[0]\n",
-    "\n",
-    "        condition = (fixations[\"start timestamp [ns]\"] >= start_timestamp) & (fixations[\"end timestamp [ns]\"] <= end_timestamp)\n",
-    "        image_fixations = fixations[condition]\n",
-    "\n",
-    "        results.loc[rec_name, name] = len(image_fixations[\"duration [ms]\"])\n",
-    "\n",
-    "results.loc[\"Mean\"] = results.mean()\n",
-    "\n",
-    "results"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Visualized as a bar chart it looks as follows:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Number of Fixations')"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 720x360 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "plt.figure(figsize=(10, 5))\n",
-    "\n",
-    "for idx, name in enumerate(image_names):\n",
-    "    plt.bar(idx, results.loc[\"Mean\", name])\n",
-    "\n",
-    "plt.xticks(range(len(image_names)), image_names)\n",
-    "plt.xlabel(\"Image\")\n",
-    "plt.ylabel(\"Number of Fixations\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Conclusion\n",
-    "In this guide you saw how to use events to track the progress of an experiment. Note that this approach can be generalized to much more complex setups."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.8 (main, Nov 10 2021, 03:48:35) \n[Clang 13.0.0 (clang-1300.0.29.3)]"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/src/neon/real-time-api/track-your-experiment-progress-using-events/requirements.txt b/src/neon/real-time-api/track-your-experiment-progress-using-events/requirements.txt
deleted file mode 100644
index 97b15e3cb..000000000
--- a/src/neon/real-time-api/track-your-experiment-progress-using-events/requirements.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-# main dependency
-pupil-labs-realtime-api
-
-# introduction code dependencies
-matplotlib
-opencv-python-headless
-pandas
-
-# make simple mode work in Jupyter notebooks
-nest-asyncio
\ No newline at end of file
diff --git a/src/neon/troubleshooting.md b/src/neon/troubleshooting.md
deleted file mode 100644
index 845803ff2..000000000
--- a/src/neon/troubleshooting.md
+++ /dev/null
@@ -1,93 +0,0 @@
----
-permalink: /neon/troubleshooting
-description: Troubleshooting section listing common issues and their solution.
----
-
-# Troubleshooting
-Below you can find a list of issues we have observed in the past and recommendations on how to fix them. If the instructions do not solve the problem for you, please reach out to us on [Discord](https://pupil-labs.com/chat/) or via email to `info@pupil-labs.com`.
-
-
-## Neon & Neon Companion app
-
-#### Recordings are not uploading to Pupil Cloud successfully
-1. Make sure **Cloud upload** is enabled in the Neon Companion app's settings.
-1. Try logging out of the app and back in.
-
-#### The Companion device is vibrating and a red LED is blinking in the Neon module!
-The vibrations and the blinking LED try to grab the wearer's attention to notify them of a problem that may critically hurt the ongoing recording. To get details on the problem, open the Neon Companion app, which will show an error description.
-
-Potential problems include:
-- Low battery on the Companion Device.
-- Low storage space remaining on the Companion Device.
-- Unstable connection between Neon an the Companion device during a recording.
-
-#### I accidentally updated my Companion device to an incompatible Android version!
-You need to rollback the Android version to be compatible again. Please note that all data on the phone will be lost during the rollback, so make backups accordingly.
-
-::: tip
-<v-icon large color="info">info_outline</v-icon>
-The instructions below require you to copy files to your phone. If you are not familiar
-with this procedure, see steps 1-5 from [these instructions](/neon/how-tos/data-collection/transfer-recordings-via-usb.html#transfer-exported-recordings-to-a-computer).
-:::
-
-**OnePlus 8/8T**
-
-If you upgraded to Android 12 or newer and want to roll back, follow these steps:
-1. Download the ROM package for your corresponding phone model to your computer
-
-   - [OnePlus 8](https://drive.google.com/file/d/1WtZ7bVwWPwYIGq4aWadeG-7MLu-KXhIS/view?usp=sharing)
-   - [OnePlus 8T](https://drive.google.com/file/d/1K2VI-R4gGN8mdS6FxLiRo48ICF_UBB7A/view?usp=sharing)
-
-1. Download the [official Rollback APK](https://oxygenos.oneplus.net/OPLocalUpdate_For_Android12.apk) to your computer
-1. Copy the downloaded ROM and APK to the top level of the device's Internal Storage (do not put it inside of any folders)
-1. On the phone,
-   1. open the pre-installed `Files` or `File Manager` application,
-   1. navigate to the device's Internal Storage, and
-   1. select the `OPLocalUpdate_For_Android12.apk`.
-
-   This should start the install process for the application.
-   (You might need to grant install permissions to the `Files` application. A corresponding dialogue will guide
-   you if this is the case.)
-1. Open the newly installed `System Update` app
-1. Tap the ⚙️ icon in the top right
-1. Select the downgrade ROM from step 4
-1. Read and confirm the warning
-1. Enter the phone's pin
-1. Wait until the system update has been installed successfully
-1. Tap `Reboot`
-
-#### The scene camera and eye cameras are not being recorded or recognized in the Neon Companion app!
-1. Make sure you use the included black USB-C to USB-C connector cable rather than a third-party cable. Third-party USB cables vary widely in their quality and can lead to loss of connection.
-
-#### 'Always open Invisible Companion when...' dialog keeps opening when I plug in the Glasses!
-This is an Android OS bug. Fix it by resetting Pupil Invisible Companion App to default settings:
-1. Long press on the Pupil Invisible Companion App icon in the home screen.
-1. Click `App Info` then `Advanced` followed by `Open by default`. 
-1. Click `Clear defaults`. (No recordings will be lost.)
-1. Open the App and connect your Pupil Invisible device. Tick the "Always open Invisible Companion when..." checkboxes and accept the permission requests. Now they will be saved properly.
-
-## Pupil Cloud
-
-#### My enrichment download contains only an `info.json` file and nothing else!
-Did you use **Safari browser** to make the download?
-   - Enrichments downloads come as ZIP files. By default, Safari will automatically extract ZIP files when the download is finished. However, it will only extract file types that are considered "safe". Surprisingly, CSV and MP4 files are not considered safe and Safari will by default only extract the remaining JSON files.
-
-      To fix this you can either use a different browser to make the download, or disable the **"Open 'safe' files after downloading"** setting in Safari.
-
-
-## Real-Time API
-
-#### I cannot connect to devices using the real-time API!
-1. Make sure the Neon Companion app and the device you are using to access the API are connected to the same local network.
-1. For discovery the local network must allow MDNS and UDP traffic. In large public networks this may be prohibited for security reasons.
-   
-   - You may still be able to connect to Neon using its IP address. You can find the IP address in the WiFi settings of the phone. Once you have it, you can connect like this:
-      ```python
-      from pupil_labs.realtime_api.simple import Device
-
-      # This address is just an example. Find out the actual IP address of your device!
-      ip = "192.168.1.169"
-
-      device = Device(address=ip, port="8080")
-      ```
-   - Alternatively, you can circumvent this by running a separate WiFi using the phone's hotspot functionality or a dedicated WiFi router.
diff --git a/src/tags.md b/src/tags.md
deleted file mode 100644
index 5c82cf29c..000000000
--- a/src/tags.md
+++ /dev/null
@@ -1,3 +0,0 @@
-# Tags
-
-<AllTags />
\ No newline at end of file
diff --git a/src/vr-ar/bt300.md b/src/vr-ar/bt300.md
deleted file mode 100644
index 1d54a205d..000000000
--- a/src/vr-ar/bt300.md
+++ /dev/null
@@ -1,9 +0,0 @@
----
-permalink: /vr-ar/bt300
-description: Guide Coming soon!
----
-
-# Epson BT-300 Add-On
-Guide coming soon!
-
-<v-img :src="require('../media/vr-ar/imgs/epsonbt300.png')"></v-img>
\ No newline at end of file
diff --git a/yarn.lock b/yarn.lock
deleted file mode 100644
index a5b113801..000000000
--- a/yarn.lock
+++ /dev/null
@@ -1,12684 +0,0 @@
-# This file is generated by running "yarn install" inside your project.
-# Manual changes might be lost - proceed with caution!
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