dockersamples/labspace-mcp-gateway:dev

##################################################################################################
# This Compose file is intended to run a Labspace. It can be run with the following:
#
# CONTENT_REPO_URL=https://github.com/username/labspace-content-repo docker compose -f compose.run.yaml up
##################################################################################################

services:
  configurator:
    image: dockersamples/labspace-configurator:dev
    use_api_socket: true
    volumes:
      - content:/project
      - docker-creds:/docker-creds
      - labspace-support:/etc/labspace-support
    environment:
      PROJECT_CLONE_URL: ${CONTENT_REPO_URL}

  interface:
    image: dockersamples/labspace-interface:dev
    ports:
      - "3030:3030"
    volumes:
      - content:/project
      - type: volume
        source: labspace-support
        target: /etc/labspace-support/private-key
        volume:
          subpath: private-key
      - type: volume
        source: labspace-support
        target: /etc/labspace-support/socket
        volume:
          subpath: socket
      - type: volume
        source: labspace-support
        target: /etc/labspace-support/metadata
        volume:
          subpath: metadata
    depends_on:
      workspace:
        condition: service_started
      configurator:
        condition: service_completed_successfully
    restart: unless-stopped

  workspace:
    image: dockersamples/labspace-workspace-node:dev
    depends_on:
      configurator:
        condition: service_completed_successfully
      socket-proxy:
        condition: service_started
    ports:
      - 8085:8085 # For the IDE itself
      - 3000:3000 # For the Node application running in the IDE
    volumes:
      - socket-proxy:/var/run
      - content:/home/coder/project
      - docker-creds:/docker-creds
      - type: volume
        source: labspace-support
        target: /etc/labspace-support/public-key
        volume:
          subpath: public-key
      - type: volume
        source: labspace-support
        target: /etc/labspace-support/socket
        volume:
          subpath: socket


  host-republisher:
    image: dockersamples/labspace-host-port-republisher:dev
    pull_policy: always
    restart: always
    volumes:
      - socket-proxy:/var/run
    network_mode: service:workspace
    environment:
      LABEL_FILTER: labspace-resource=true
    depends_on:
      - workspace
      - socket-proxy

  workspace-cleaner:
    image: dockersamples/labspace-cleaner:dev
    pull_policy: always
    volumes:
      - socket-proxy:/var/run
    environment:
      LABEL_FILTER: labspace-resource=true
    depends_on:
      - socket-proxy

  socket-proxy:
    image: mikesir87/docker-socket-proxy:v1.2.2
    volumes:
      - socket-proxy:/tmp/proxy
      - /var/run/docker.sock:/var/run/docker.sock
    environment:
      DEBUG_LOGS: "true"
      CONFIG_DATA: |
        mutators:
          # Remap the project directory to the labspace content volume, since the project
          # is running out of a volume.
          - type: mountPath
            from: /home/coder/project
            to: labspace-content

          # If requests to use the Docker Socket are used (such as Testcontainers),
          # use the proxied one to ensure permissions, remappings, etc. are applied
          - type: mountPath
            from: /var/run/docker.sock
            to: labspace-socket-proxy/docker.sock

          # Add labels to all newly created objects
          - type: addLabels
            labels:
              labspace-resource: "true"

          - type: addToNetwork
            networks:
              - labspace
        gates:
          - type: mountSource
            allowedSources:
              - labspace-content
              - labspace-socket-proxy
              - buildx_buildkit_default_state
              - label:labspace-resource=true

        responseFilters:
          # Only return objects with the labels we mutated on
          - type: labelFilter
            objectsToFilter:
              - containers
              - volumes
              - networks
            requiredLabels:
              labspace-resource: "true"
      LISTEN_SOCKET_PATH: /tmp/proxy/docker.sock

volumes:
  socket-proxy:
    name: labspace-socket-proxy
  content:
    name: labspace-content
  docker-creds:
  labspace-support:

networks:
  default:
    name: labspace

configs:
  project_source_tar:
    content: |
      H4sIAAAAAAAAA+xc3W7cSHb2dT9FTQ+ClQR268eSndFiEmgk2dNZWzJa8ioDwxhVk8XuWrFZXBbp
      dm8QIDe5CAIEyOUCAfbd9gn2EXJ+qshid0v2YMceJGtixpbIYtWp8/udU4ce7j765NceXE+PjvDv
      /adH++Hf/nq0f7T/eO9gf//x06eP9vb3nhzsPxJHn560R49qW8lSiEdlneeqvH/ch57/H72Gu2cm
      vlNlqjP1qdZAAT85PLxX/iD2QP4HIP+DJ6ASYu9TERRef+Pyfza+fClyk6jjrLIDm+l57+Zy/Juz
      0Vjs1rbczUwss11ZFL3Ty1c/iELGd3Kqdoa/syYXw93e+PWFyIu50DnwMct41HDXljH/2Tv/51eX
      V+fiMci5d/ryTLzp42r9SPTh6a7OE/UeJuu//aUZ8Td6DXdfjE7PL67OP+EaD9v/wRFEhxX7339y
      cPTF/j/H1RMfuk7A5mdKvNCxyq16aPxvVWk1uIWD4V4k/knmtSyX4mBv7/Del2ZVVdjj3d3FYjGU
      tM7QlNPdjNeyuz188/p8/PJKnFycidPLi7PR9ejy4ko8uxyL11fnkRifvxpfnr0+xdsRjTobXV2P
      R9+9xjs0wf5QnKlU57oC6uyw58jpuy31hZ2B6xJzJXNRwVYrVc6tkHkiYpMn/JZITSlqqyJRqqI0
      SR3j7chNhWMTbatST2q8L6QVCS6pEjFZiisV8yT7MH9p6ulMfCNMCr9oGGfieq7yapUuU64RFpti
      WerprBJmAcoogCR4UVdLIetqZkr9B1rPzbPpjWomKwGLTksJL+ZTGuT4EBCgpjIT5zT1GhF1jhsk
      6pWQMc3iqQA2YBDgaQwMcARqZXlpYGhVmiwSslT+l4yIjnA3eLeGkFDCs/nc5G4mN1AsdDXjeXjB
      oXhmSqKjqMvCgMa0XG0E7mXUd7P0aStWbOltftUsVBmB+EqQEhIBMYl+jkRlRCxB6DjOzcKPiAOl
      mMscgiEKD9e1dTxzhEViMVO0fZA+rStp7pAzC43aBLNsaaCExGNnusCZUp0CNwtVxjj11tHe323T
      cgbYw4z3E9UVuC+gF2QAYiqV9TPClBOVAxNiDaLszB7Q2Yr8B1P3xRa8iz+V/e1Q6vAf8uSdTmqc
      qxShfrgJ1HugVlskBOiea2tJ4UnP2AhILGuqdgWrxWCCYF7zVU0rSpWqsoTX6WlKHL/DJeYm0bA1
      SVblBazzOKuJFWCEgGkqAWhG4+ogR2vSaoHqZWlBEEoC3Pe2RxO5aXhA5O0/1dO6pOcCMXLgPi4n
      vwNVWCdd5ku+B+KoM7KPtDRzeBjPZA5UewMBrcgtjpReoehO5n5NhRTMHpou6m7QzbGyTTCbQqNB
      GSLObXMKmgB7gNudDYfeC3b6jt23xXnYducq0VJUyyLc9o0p79acwgJuEsXkh1DTWhPQud9GYwDM
      OretuUzAkbyTOpOTzNt/4Jci9KaogLF0qiQbv+C9G7ABBjfujTkFgzWxVVYVxhbikKfWTbEFG1Dv
      5byAleFFcO2g5vwijjwpCgUrvwdjysxiu+XCmSr1O+DiOyWQIba/qgG4xmYeuN27mZgHnvCJtCi8
      nEwxwTVQ+0F72FfhUiQutIXFTMezwBmAsCqIAWCZpXqnSZSoxcAaZydCAYdN6X+DKZyYQ2tyk2GU
      UxY0hbgvYTGTkVHAa3qqc1hlXebr/tj7qbRj/pFYZZ/jHmqzkx1N76JGqeZSN/apClmSpiBfaBtz
      VapsCXaQ3xHjJqAtqCe5nKttL3QNjqhMZUxBIgpiZMPUNaKQO8qkrdRP0ZW7GL9R4qs20JhssF7D
      QGdwPpY2dOBkHZmQDicOifiZDPOG3oLn9xEfBUZRodc3sHTm3batJ+A7nPPwuIO0iygn8pwp0ELk
      x9dghZcyhbsHo0UIVNAr0/Ko7xMFzEyBFfeDl4+L9pBX+j313Vwc7xu3DC+pDAywNOCMI5TCRGak
      R4sS38sJfNS5475AKwiZrlpGIZ8q2xoL8d9GD4aixneFa8B/LU3gEXWGL2cAKWG2IGQ1UMgubaXm
      NnThEHNrhSEkphjpRrD4MfIxWmmwVsj0KHAjHS0IuI18A4wb15aiPK04J3/pYOQNebw2NKn3ngnd
      vXp9hK3YQse1qS0Y71yWd+j6yhYdecilrJ7m5PtBFVFGxNiNmojOqn8B/JYitNVhf92EV/B1s21v
      gR+EPCED0T/OVxYVMyBmokCfADIq8uRAdLhOa4RW/b4G/clw2dgAvzlcI+ANzI8d0cFQPEdYhcue
      Ntv3yEpc1Rxcna5uTGYCMwu9soIoKQIGCXQhQDOhOMIFAA5hl4DwClUBZ7z6gevLkoVGrJGbfECS
      t7Bj/HUAqKecYuJkljKrloO0VPCbBmD3zsToyNeiucv/cEGfbcEbYGMF6vGap2vdeVFP4F3gIihq
      kUlQ9OYO0Myh1tIdByzCvC2E+Y0vJrC8tuKGcE6+hQX0OBDQK4lO9/+BdLbgNVVUaGCQclQeIgGB
      lhOibVHwXgPpAVyHyWbynSKU5wmiPNqkKeI8CAIqA/fLf4JHMWXFgmn8gAPKDhWSm/E7QxawjPyq
      sigyTDdNDkInLqPvcqTFmdTAbx4bbA64SJOE3G38Zg7Wa60sNVlnWoL38RmN0j72hYa/ZbchDTa5
      chER3B8gkgbV02urL/gNcYbroi2QzyCvS5xbYoGi8LFuKEYpyr/JhSx4KtTpRiiVnjIJcirxMTk5
      l7hvtQGrwdalsXZADMNtxKZG/MS/g+SlyOTC1rrCrWZqykEAOOaJbzHBild8yMFRTGDCrUu123ni
      VjhLvy0vjzkhVZiGoVhXEz1k8smosxSfaLQ25kKeR1UcHdBEUXpeV6T1gC2Bm175Gu7CbJgnJuwK
      DodirMLK0JCWnstl69lWvRD4Qe2xTccfPYDySCQIG2GxGpwc6REiGvjbNBG5mzZzCL/Hk0VtKkQM
      aVVrrhRLOTUZ5EQc373vOvZxdktu805r0LQp0ovkcb4BYtWwRXRaIfRtskO81jYqKT6sZhK/pjDq
      15wEa3LhpoXSmEdh/s5FnRJVCNIHnaOecPZog+XRxTUqjXNi6j4lZiiep7tyHKxcqgoMLPK4OUjh
      KTsAilY3FyzcLNgqRIQW1kbHyGl3hG4xUYibogBMkIpWrbm5vXEJYgM9qy4Vrxa5sff0cxBxiSFA
      C1EGt4nsZIsrqzZw8U7WQ3WXack2Oq1G/i7xQ1H3Ly6vR6fnfTC+9xXxG83OrYGQO1gntK7ABWyw
      lDXOkryCqXzqKUGGMqEcs1U6tZGt6JQk1nmDaZxTI8/AG6EtRB/D12CazRzeyFdSNpgjU9JiOhWW
      6d0rrbUCMIJFjz2Z0tPY8rrlUEer7IM0/Dp05h0lC+26W4ASOm39DIbMaRsB1+c3ZbTOZemxXlDl
      crnBBi6lK5ZCAAIyQBYWTFgmA9zkspFNjvU5SJgRWCgJSej1jLMw9F/rbA7kTeCBU+mmyAc5RJu8
      IkLpkuNsizzWslObb8KGTBL8ucR8J9TIYBZPuuPQx1hCxNy3IIhwT5RPYXkjSVSe1HMPWzsa4x0L
      539enKs+jRjsixjAho3GRNUqyJkYB5T1qv4xY+47t9jIojarINhKxXoGACuFr0AUOInbR0gyluQ0
      otYOyt2A4NvS3oYjI54mOCsy6QZqotZsUkoWl/ekImF1rjElmg+XDqp5LQFrp1WdKNygbqwlE5RG
      PeqUZZpMZSUT6AjkiJIddxLAuWqLAu1QvM4hiloSmnoPC8Ua01+aMTggaeoby1UUGRSzgjLWvaWr
      FunjiquFHIZ6k7D6/FNSMweziMxAYXgKhq6JP33k9y9MhS81pzcUXyaGkzI02ymldxhGiDRbQziw
      KlF8EIRmEIjELcToggukwMUmJZpCTkeKv3QWQhmZeq/iwMWT420YUqqpLPlcaTX3cGcBT8AVegBi
      0S0GODox5DkrhtzBiRAy3h2oMXzxxxhyjnWzBtFg1UuV77Cm734FmpwO82CvtJ5iryltmlqq39fa
      nR5hQLcgEwzpJFII/GaO59NIDXAZcEcMG3SiaJIOrNSu1We9NXm5uWiwIQQwp54OxZm2lDrhoW0q
      bgB/Al+WjRE0pE6WnMBS5o0pVusGSIqUvLRVsKgVmLN925K6hbRi0WA1RQ1HY/myI9xtrGuBy++f
      XInRVV98d3I1uvLMvRldf3/5+lrcnIzHJxfXo/MrcTkOj+Uvn4mTix/Eb0YXZwB3NJ8Av8fqqG13
      osmvJEGZtLUgqpNK76eWkOQSqyghKtddLDDzenT94jwCrl8MRhfPxqOL5+cvzy+uI/HyfHz6PVB5
      8t3oxej6B1KhZ6Pri/Mrbh84cXO8OhmDwF6/OBmLV6/H2K3E0ZZPCzM8WQD6C1hU06kDncxwVthV
      F5BcaYpSIzynDaegXTiE9K/1uEG9lKuN1gImwu16d60teXZrYt2kyezU3TkrVWPDg9b1ZJZ17++H
      8LtnKb70QsuJzujwfISRVwD8ySuig+eAWxkVO4FGyLSDUos/yQIFqsKSQa6mmQb0FavtqDntjjql
      3Kby80F932KggDX9TE8I0BFxU6xHNOcWfskKOxAsnY5vtg/2np3wgUUZL7JM08KuIkCilXM57dbw
      8W3fEtA2B9hC4dl6cPoMBgXAlo8SEMBwTRcP5Nyk3kNjzQ3oxnJ1yWfmGMWbWI2nxquJLnGzbnxM
      zXd07oQZ+NWwYrD14Jm4pwq3nRlW2KkxyUJnYe3wDoKyKQqJVULEBDUSnkqd1SVHI5mldd6CGwqC
      GzpB8BQAlTfkBy+sLCgO6iEC9NVCnJujKabL5J2mQ9LUtW+ABTgm+OYGNz1bwDdDcRJjTEAueM+L
      K5+0gTowipsZQveuua4eFj543OZRaDwzhqugVOnsHLZTzRVwW6rIn4CrIwplHiveRMFlUOf9lqR3
      ap5ja0lbEGO2Zp52YSaZq0IRbtlFt4PIl49aYD9oLy6/0t6DNgnG92aBmRCnkg3DiJ/BxO3+qKMl
      z4LTkAZzu2MRKuK62+hIWzdK9BLSaU9RWo/eVooCNXA1YcyZdMr+GQ2e7Z14kza8SVQK6Qq/Acg4
      2VA6l+WcPJEH1w0XW3Ouy7I9LXOVY/DJkJVjsspF1Gi9bjxZOrDRbmiJHGh52oD5RaCNAWxsaGEF
      Pr84w7i6qQ2OnrdnQAd7B0eC+7kj8O4xv+8knATYttvTF4Wde2ILBzS9cdu/xik8bkSBsZtxZU4P
      t3Tu0gVS4SaHb0KRaLMzM6GqhuyUVryXk5VP5j7YG+j6VgdAM73zMVDqviDhmoNwmqD2sd6KgtXd
      cMB9UOmvxEkeIRHfrpTqkOCPZSn+QL4IW8unNfg78N1gv/lqC5ZLa1tgZdf3Nfyl21C/XL/QNdwd
      ZnJiwb7UJ/sS6Kd9/0PffxweHn75/udzXKH89/YHGrtLXKFoOE9+njU+8P3P4ZPHq/3/R0/h1pf+
      /89wfQ04oRV5r/eXP/33f4oblUE0V75KtrPDmEK8PH0lnkNCtpDLnR2IO5OvxFldcj4LkRFuRAQV
      MIHAs4iS6j2J6R5AHPd6A/GCnsoJ5jRUq19boRk0MwvqBKm5mBcMYaAhhdXUv4lPsGqkSnj3SgGA
      U3RkT4eaVsWlqqgLzgQjLQx9prOKWhFMZrnnhI5lc6Mt554Wy2WVuYNQuUoVIOuc+jlWKINHjPoY
      glD2zcWAwhR1JhGKYHIYi7SUc0XNjr3eNX8dwEyh1goK4sTVX2Eem1njGOvW98W0N7j4KEdQACD0
      7ZZHT1PgUD0Zgjh35yZBueZYtS9KU5nYZLvav7LNoAgYgcCeGBtwiWvGalJPd0FbakBUFtKbCjZT
      uRSXus8w5er1vv5a/OVPfwQ1co1eOA/h5X/s9XZ2XiIZhJjx9OCVI0Rswaht0CqqiGLp8Q+QH+Im
      T0YhE23LcQOICcjNKZ+spGuTY1JJlkMher1R1S2NBQmz+5ht/fwdPz1w6kDIl1uMFVe6gR6UVgrK
      DCucc++wdYPcCSKp+FjBjJBSMXV0TPJcV9/XE6f2psCEl9hG1c06ywi9KluRmhlzVxeuUskfe2Cj
      WFzqwlXA29ZxmvwKlisUvHkK+QdWTbDIjE8xdWeJ2no+l9x9meApdWbJUqjjTWCTbeaUdEztjPDw
      kj87+KrX+27pnoGgIEmsML8HFhCHUBbSYoMMiiRPXEIjYgDuxG/NB+9kEisCBZW5vb2FHcLySQ/Z
      iulxJV6MKRM4Gb2BF04z7Bd4KwaDfxBX+2/O6vgO/3/OpnxFSvqWxl/t0yA/YmrCwSevRrYz7JRL
      t29OyomuSqwHL9TEF3TfOgJ41YM3TnprKx7QAH7qB/FKsDEyh5sZJCOhfwBLuMGTaowqjqfe1NiF
      QkYCjxdYPUf/lk/pLJo0n0RqwFQpFVjzMtRRxeUXmtarlCvRd6W2syNryDvB7tAIdnYyM4Wf6UMT
      FmgEN/1XEMo/ss63coaNt4aBfnQ2Gq0TSE4Mrckfgfr94WvtHiP/sQdPUMYzXcETLDplYBro9DX6
      0Wo9vPw0fXp+8yYg+C0noGBq01IWM9EPnvmGYgHvfIQqhgPv1R7lGyJ+dsX9kF5eU2h/sx55N0aP
      hIbtzuNiMOVh6K01HQ+jJxu4LuWpD4Do/LH/D88YXISGTFumru2SdcgH9jDUQEjSrtMZOytK9BCO
      yLZIki1bty5xGzjDKTha0OCWfiSeCecIGBdAdOSa6jQ3FWWZ/6ArbdckFxkS1XQDgllQ8JiqSoB7
      ptI0GOMUiLzxn6dFEKOrX1kag/DS9STQj776/zEw5qveJ8d/Hfz/dAAMcGenPxv6//D3/08Pj1bx
      /+Onh1/w/+e4vkZP4kTe6/1g6j//2x/fubN/VbmGtwcSgF7vz//z71TbywGr3eEfjEwZAjnMPt2o
      6KzkQxg36mJ0jGsdw3NFPQGPE8abdrgBuAc43R3UEpDH+MU6jeDo4wG7G86xb9ML1GHoEFpgtkOK
      +RcIb68qVVjkxPn7IjNlgNU/xlchAd/VOkuYNOr4CaEwx9sVwr7CJO6//gOTOADGJlcPepGO/R8O
      UuIozDpoPsgbMJb+K9zBB+z/8dHB4679Yx17/4v9f47ra2dEqEjXKGjGBd0PXxEsUstIAzhDQ6CD
      Evp2Rb3nzjaZzY2txP7eHttmJ+JmpgIVPQc7WdJT13rhkxrXA+rSE6ywLxAoh30jhj4gbz4YxW6X
      OR7Iu5ZmC+lSpbFFRPnkzHTyZY3f2sMusVGlXdty9+4Evzs22PHP9X1FhDoQ3cWknMhAlp7xJ+SE
      jWPYuUfGTXaMHydiaV/GcU0n2lvABW5hId8Vy9x5KSUoTbfb7EReF4ncCBk6Aur1npmyqrFJHZde
      HdugMI9dUuc3HTP5GcsOlt0fihF5WdeC2Gm3abNiyk0oCaevwygFpXO2jiNEIMqf7a0ViNyLE4Oo
      iaZtWgkD5Msz8YGySNXCDYX0Q7pj7E7i3H4J5z9ZRnXGD+l4Ud/ie5uqKp796ADzbSRurcIcA38C
      2PYjTvqjm3TTvR+xE/CWxbz+kDrE/WtETTiUbvxIx+F5ZW+BzoMhS5oV/BajL7BmuJTz7JbP2ag4
      w6RXfkON+jTnbbcD9tbwUiYxEyIOANrHmTiv4a4qe+xbHVs8f9wkLUgaUNveEGI4HAa/DYRb6NsO
      GyPmYbTKj7UbxL31u8S2qGFRtM4svx/Y2WP8tIIgdQdiYLc0xMhlo62iiWnHDTsm0s78hx3ZQCff
      Oo4f0ACOwsLdQ5Q/SIKF0S5/KzMdWGZ3HTKhS6zueEtsCnPYpH1cyckLnd+9wcgPgZ/+iaUZuI3j
      JwdPD9/+y6xU6bf9jQ/7otJVpr7tdybt/ytp0FgFpTE6IWxNh/SlsV9intuCIoO0SnEybqkNg9UK
      wBzo5uFQPHdffHinTIfmHbujU29XyyBFXLMh5lGjqZ2PR1pP5kQ0AMiJ0egYUOb6VM0Q+uSTxrDI
      2ic4/qKeT/jxN980D0pVGLy14BI3aPGA3+WFR9RBgt4/rTP2VXZm6gydz6uxx68kBDS/W2e17b+h
      Btb8S4f0n3SF+M+7HTxGLiGzJv/zM6zxofzv6HAF/+0/ebL/5d9/+ixXGA/oEAI14fh/2bvW5TSS
      LP2fpyjLE2GrrSooEBcxod5GGFuyLsgC2a129EABBUICClEFsuRWxP7f2Ijd2fk/sf92n2HfZp9g
      HmHznJOZlVkUF7vd6olZ0xG2uyor73ku37kkR6Zm/Yk3ArorOMF+tVYvGikL/+PPXpZOXlfOque1
      o4tG9fig3iid1/eLxga47wvAjJEreFxtVE8rJ43KSWnvqPKSlekyRU4WelktH1bOGlD24KRRrp7U
      SwcnlTNWzKYi4BPlF40nYn8mBDMC0oj0UX2Shyd5+aSQKmSL8EfCUEiON1k41tOz6ptKud4oH1VP
      Ko3zs6OisRAW80nOTIqjZCps9e+bHmj6X9oEgA2UP5NUdBwHl+W+XAFccf7z25ncnP6XyXw7/4/x
      ewoYzYhgewV/JIQ6xIh1kJt2xDLoIklFkh32UQfR7CSc2lnfvRWwsdEDM5VSnyESQ6DGJXSVKXoy
      17izE6hSaHwKbXq3HokrRRS7vvtOk0hZW6aBT0ghcyZ+6K+P6oYDwDlayNgRBzHqu+9IisVP6Z+q
      PkK4UjCdjAyyv4EWQj67voSAXd8Vmi+IEG2UINrcLNfDyFdKh8b0Pp6YAMSv/sjlLYIDcseDdED9
      NtROcrU0tzwhKbQmAGUnDpkKO40zI62CcepFvFyGMW5FTYlAjM10/F21kvU1iz445haNeWPCMt0D
      tA0OB+6GGyqqjkCOAOAQu37ARjoM3XYF49A+KBRsuwh/yKczbzAdupFiyZkzSbKjz+m85bO/inEP
      Q/0A/lFHtXjg8PgjUMZ8Kdo240bTZC/aq7BGlMHlJ+LYhFpzCNJydDFsMWZ61m7yQw0/QbBlv14/
      NWRlIQmIcy6w+l5SeCmidJ8EYM9M5Uy7kMStnZQ1+U992YgJlW6Kvq+9BDCeIaQpUCcDXriBAkBJ
      /1BQFNuQJgPAGWc6al9GoQfFnwQVrNqcskkALG+qTCditZYZr2TqO+iAdg5bQ3D7H08DTRlBdQ0f
      LzOD8gpxH6KzBaT78MZ3ZmsaBNw/mY/EtA3jFwN8FpzOnFImdH+trKGWpt1GO/GD2BKMOl8H3jjK
      GXjh5Cwt/ok05Oe47pQ1GBKCssEDw94pWPlcKp8qDP24r+oYXC09V8Boh5FfnaIRIR+RD4+Yliys
      8YR685FH/458d47bAGkbpx9zUwUjDxv/wb900tlcMVdwW+lUp5WzUzvdbDtjp53cTrbbzrrtTKaQ
      czp2trOT6XZb+VzWSbW23ZbdcrrbmXSh47bt7e58W98bBxRaARowOaxk8lY6Ze/Y+fjZeudOeEwt
      DcD4oPc1ZmFkIzP4tk/NFAp5K5PNFvLZuHbYJ5CgyxmgZRUW0cptpwrpnXRqJ7Y4HTZJrASxQ98H
      9kKS7pDmMob6DKDMJwj5qbSMHXtuquUYxRMO45xrBhQJqJDc8xVcqhQ5B+EP8IbD8CH0S1vga6WG
      HkWoMqGzIR3SsaXWnWIRChl5czT+2Az56kLqJPuNJdhHjKvesUX+Yfkow1VgJLIK7v99SCMw6vso
      xXjxOJgAi34bPMxChGvedhe2r7rueVx+4lvsczAqwb6M+t3YBVwpyiqfk/zHO9IhHJyLBZxhoAS2
      KesETZNVNDde3PFYqjzot69ZSW7KBDQLTCTgIzhxuckPYLsappTjFlw07rCibLLJQw4+aWNNVACI
      nyFKEYewDGrwQuc8hNhfzoHohHBzHJ1jiDxrQiKRjfRHCtl4MCBLEvQFoyVHZKGhQ933CbjHfeRQ
      RgkyYQwM4TwqeXpoCmLf5yzBRRs3U6ZSNNhH7qCzhQlNYQ025q3aG+y7vMVnmDoKNmyYlnBWqGul
      LgbwGa1J3+0aYHCaY9FoJeIqBFcRnoDjF0aYqWipOmdbC/xhpSeJo8oo0mNlCwIm3Z4jbPaifsVu
      g0YEJkj0PDFt2KUtiu/j3ykVkpvOSCvMVJL2dZhSkx8n4faJNm+fbN40TNzvt5ikYM69hQLAMD5z
      4lJisYmDbpRslW+dSccyjiFWSlj/wbDH/qAUJJBIEh1oZfJcXWZJJPjij0SfQi/aDg1V8cgSGijJ
      7WSo7/v/D8JiNPwnE+I/5ADy8asAQCvwn2w+N2f/37a/4T+P8nuKYbAIIfAl19Qejv/MnZR1sB+S
      k0yvS0nI1wWAFnlrc/iEbLtb5F7MrYJbZN8C246POZBdX3NNZZSgiyHpGKSL1OZ5mMYNSDem8OSZ
      ReHkbxofdjLEwr5kqPjhpppCjbL+IzXU7OMHQLo6RHokEjR2eZJmA5Ii9C7B7WAkYiWHkh46xinj
      dBgyWkKbFeNT1y6Qvron89dAk4rRHXT6D7rCKtyuwoGyQfrqSLmSmrz0bs3A85OsEpN/lNzcChNR
      R5waIW2J03Upy5F0GhYBGRiIIT7iG0AyH0uEEfzl3/jdDZxVUrM6oPUhdhoiw1GkdneU1LlH8tp1
      x0D3gGGbThuTHZqs0ya47pvU8yTmz5WlxrxNKM7aNMntbJPJHAHXN8ijTCZOgH8LRKU9cHxA9iDL
      Lhuu2ZtgDjEesHxLy60GccLHlEsFRaO0CudZ7mj2OTBeB7xSZhLIg89JAaMZEgNr0MAaOLDdi+r5
      WaNePaycNPYrZxVd9TpzMaeY0YyUalKHUAxatFVD1wcsFgEnQWHCezSUxQdhEdqTcUe6sxLPQcmE
      VPDKE9nP2OwU47whcBMLzI8f49DLMAQDsQJDzhUOPaN7bShoZlNmr+Gi/vyw+CkIhxXbvTUgVdUz
      IzIeUinmRhWOYHvO7wR0xKaMMY4fE5xbcC6cO/FIXVE4JwUj7M+vH9pvgQvrVUSI+FwpHMouoo6C
      +C2ZWqbvgObQnMP5mrqLCiWW9L+ibwo45Cr+KZImRCCO9+pzsYTgvys0B/kh5/5VPjGaBK9oPC1g
      1+SqBMoPCPy9EWK/mKgV+LcvD0TovkdA2+P7zBDtqfVH7Xnw+9LpUCAg6lxbmp4cat2kDlJBDiZw
      4AGLe6NlqvdCpRvqAzEJFSOReXJutkC9b8PlOdp5Q1+ZoSsUSWLMyIiFOCBceMLIS4UVQsoDHxLt
      4/YNleCm0IGbpCFh3jCpVlpRfIAj09TEHU9FhwkwgK9ipmKAiKAfWwZjmoDQLOYRhkLhXZD5JgSg
      xemcwg8dnVXBMqiGcISVYJZ6A+TR0Ef1iVEB50XUkyFdCtiCVF9yjn8R1NJyCZIcSV+ro6NjHmDl
      Y3xVB5y1I76j4gz46CTKRVQwAaLPlfT/5DlrXVxnTYkVgVFcj9UCQed8OqN7Wjp4avK/pv/lTMQP
      Qf1Dn/avY/5fof/Zqcy8/mdnv93/+Cg/gYE7RjkMY1Ct/9KH2md7zJnQ0WJyfJ/co/UQhBo/auo1
      OlzbeOarhsmlStWmxUOHu9LRmOx14MgchkKEZ/uf+MnjgVykecC5QMd19GJEZeI//sWociWUBheK
      yUhAgHINhLDJvcCFITSmWZ21vhbSC3Cy90yX5KI+3Nqh+c1z3VqV4XkICbeHxWPXEcMsVhf5Dsck
      +t33R88CTFjab08HAdE8iksLGFWCa1emwRMZr/3v//2///yvf/vrn/+HR5zomhlUDcnIOKlgvAmM
      cXdCYfP1oWpwOh8777dgSkrwHscFkXfxWIIG6ORNzl1eue7A6PJcTxj6yUX8IgjlKBU01btEmz9/
      GjvB5a5+wehD9GvePWxcZiQmOSRuBqIerqqGFbGsAPvwBpqZt4U1mgGCDQpZNSzNfCJ9cpUOsnYB
      +xbtSklIt059iQQk+BpaQRZaPZabO+ovD6ryfZnPRJxHbmnSw8TPPr6FmE/TnAwNsx+dElJLDujs
      S7/liAQ0B7U7xLkhVqETs5Uiu6g/mjHOHqI/LRFNSum5jIPSSQnf3MMtDjIlYbM0dCdMUEqeuLeN
      C29y3dwMEx785b/keR519NAw7XyqZ3mK0TJGgxdo4B6dHzKXYCj3NNOHHUgQKIzu7FjGUVg5hSJO
      QyNieqw5OH6PeF4sDrPJksJGr0MuiDbwyRaqbSgzcC2Xe0vTNhI30iHGp4mkjhxKeI3TCqejSFMJ
      UhChGU2h5PWqgQ0IhhSNXxTtbuL2IPnDnapaGrj6+hNDjRYqGqW1kcsed5/nOxKrjtSMB7Ro1GPe
      wEkTVFh/xZ2pIucnUmjkBuDXW4SrX1wdtvne+PCkfnD6M/8fkfMU4/NvwxQwEoDp82zTMsEwZTnH
      WyQI0lNQPQnl0Td4JRt652wZh9OWO2H9YjPVJD537IybMnekuHswuPQoA5rxPe9hPWI0pYyrILbT
      PTBAy/Vwpz4hqx2PZHFKrCzSFPC0AzxRb1qaCxfvaErjL+xHmnGO8AyVcfeDCM4jtjk/EHFTBT6K
      4lgIgslt1av9tHRq86Wgyxe76K1GWnjPdpNu0FZ9gcJDHJYllx2TKcECoHl0dz4aq0ZVqBpKdVBU
      aYxOOyC9J6Myi8cp8MPQlWPENH6mirD+fBkSZHaNBds2ChIB6Of/BuLElupRoXrJPQ+9eBiVjHVs
      2MStP4uGJEnLtVQoxLVvMTHXBwFFMAiZVsnvOvIYsQnZLyfa0MoVxHxOIdYTTVIoz6iBU5DJHORo
      cZmMGoEepkxVhXEVcsCcmcBYRQZc3UL99GmofvGvw6lShe+DblR9QBuDXMWFDppbEcohRgaYBvVJ
      AaqxCWkUgr2oXYLrakQs6kAzcYdskiGdCeamoQhbwx/1x2OA7OH6VPWGl6YcqCr6ER9FqYjg5zvt
      bUgokUhZRgkyZ6PrWgDCuR+6h6UKqS2tvyhyxAfIcX4wkp3H0C6+T+P6CXEkqabxPFwAMYsgEsHs
      wjPY3HgDKWU4wrOvUuA56vvUOPEEHowcDShBbPsJhVBrc5RIKARrTgSaE3/mRZ+o2BMRedRY7RBC
      VLaqQgRJpCnRP9QXKNHQftHEMHgQEcLEPm5wMUj3EdbKTieDorFq0WAhfm/I5e/qp+F/WVOkX2Iz
      xxZWDWOCSEkyj47HnwkGror/sdk7Hf9LZzPf8j88yu+pSIgSl2RAyYmSSJwAzgzkGdDnmUvos0vp
      FoSdAp36fZ5JCZlGXHIz8FIk+EhhIiQtz6dgAU5eBmCJsxJfyTSmRO0x2WGCufz9SG66ueRoLZHa
      jKw20jHT40nVou6giqeqo97/48kegh51Uq1Xfk6QikKqizo4VSZARjSDjF3cQCTzN+PF3iIbpJgo
      HClq/kwi8yZM/WjBpYNkaG1fumBo4mRYu1tL2nAX1Jgg8eOINV6+hNu1I4DoKVOW4PJjzsCJfQr1
      H3EGTKFGCbBcJbicr80HWfMz36i9PIy4Y8Cg2/AWUV/P95NjbDApX4Dg/BTtICa3vZjC+dik5Dgg
      8YWyAsSNvi7VK+9LFxCt2YzdHVsCPsHt7sULowA8Q5XiIw6l+m5AnJx6mqC7Sg3PT2Dcg+x4g/Wu
      4XScMfqhtmmaeOFjaJpQctZfmkLGs6nMbuzr58jlPklet6EQ5Y2i8gJfSo7JXm2E7LIBA93Y0ssy
      jslKeb7FZ8pi6/j8WWQen20Z82oAzNLGpqztIUF/biYStAV2DefW6cN9qzACqLeBL55vipSITwFL
      ui0dzOHwfL8BfO8rSVa5BEpbj89XKH5RXfMpVYtL1ottZtZHsTAl+FR90eCZUfi6lU9pWUq0rokE
      HecGehzDgGkdfvWc0hItWkaUejYSD4mECBrQevVc65TUxxACZURiN5faxFvU2P7kIZPQ2JgR6eB5
      d6OkQ6xsa31AAB5lWqQmoIkxPUF+//MD2wRYx/CugZPPJgJn8rncGxNPqIpgQGbqjjtR9mHPcwa7
      G+dBH+JC1CwwjmposZQvwP/YhytgdzcORN4cIdNHE9ZyYKTPU4Sp1VD2EjmSLSZ8nzo+kZKB56DT
      nkgrRlykF14Db/AbHtj2261Ppm5YLVwmz7QnfIoPlQ1fGyM3nN/zTZXh3QHOxEgNUCh/tdbyQdbK
      4V/aEMYeZOdFdIFNRoT2+vgJRedRrq9+kjEX4GtMCrQt26ydlE5r+9V60hn3EcBAMVrfhlysNlus
      JZN80ycm1n8ZDAebkAORvXZ60sl9LQJdVHSlMSVtwf3VHgvNgA5/qCdEuqUqEGEyUV/XK2KBL0WN
      +MOnSGeLscf1IVzcYwec16MrC2YSUpjIOCaWczk1+0CVWU5fia8Uj8B7EWaZfExNsTjSuXYREQxk
      VwQh/GRIHmM80Knb+IHagSo3/pgwEuA0MAnoOkaYtbLgVABXhSwKiF+/A0kfXD9ArYEGhQeOn0jB
      qthbYSqVzAsnnRsugXJakek3fvllEcWks/cAfz0kHjb/mAgdof721z//ZwwKtIdyFJt2j0Mv8Fz1
      DaY8U0zgmNA7hBVU258ekQXLLwAadpIxyJQX5vecCKdWy4JUgJBNEerF2Be6oN4n0xsCm0KWVhsB
      mC1gEvNWiPWKSkEvC3ERjvZD212PrlyajjhpkQ4oYVLdkO4888lBF0wWYza5U3CcjqY/hNEpUq3A
      0QXQIXouwJDnAsJb7+gTSLQpCUA0XFXFTrTDuxyxjqDVS50GV7sDLge6f9+8WBHI+3Pg7gTeXqdN
      p1D28VlMfpQohRSytFgaROPxMP7eOu633+KfleSe8b/Z7S9fdP+Lnf12/8uj/ML1l5cafPWd8Pnr
      v83+9W39H+MXt/4ddzzw7kyZzEqNXfiSNlbgv3Y6F8V/7Vzq2/0/j/IDua3IVF/lJhRcfenql0gw
      3g88n9Kz7Z/vNc4qp1Uhbi3NfJYARx6Dibj+JUkNLSY5QXKjUEQZAvRoyBtVmADEqmGiE1NarrwW
      FkTfOYzGCisCY58JJqlpazoKpiYkg/VJPUdPzrABGmAZgFLASUENkxofgIdFyAIDGmKyzcv8MNtO
      RD4/8np08S13tdqftiKVcOFz4DF916Qaf5hlZCGAa1RNExziqeo/fPokwmSscIrPa5Wzk9JxxXh4
      UL4aO77PZqqz6CuMvIJPIt0/5TqGXNO4vouV5ApJePzFaOyFoyF/hwbm1lxnX8x9GTg99qE7U96I
      Dxstx3cbM7qgkgr93mfmH+lnyRX6Wtk+53+r6H8+rd7/lmf8P5PO5b7R/8f4Dd3AgSDXIkdw1jq9
      5P90hsf983JhSh+Ed+JAp7J5p9vNJxLcXyDmIjjNBwFcF47ibkCLyZgRhGHQIYbbb+uXKEjHZxk2
      EzrDiohsERofOP41ROX4CqpoCk8H7SI9Qh5wqKcOo5bGsmsW1VpkOP78pXbL6lyRujO2haj/Kt3J
      pHg4LW1xVbIItcnwjoGIH/fSFpZfR6HWv6YNe1ljn+H7oLYccd9ac7WWB1pFRiZuZ1lWYeTmnvVZ
      pJXkt+CZA3Z+rCvfG311GrOU/tt2OpO3o/pfKvMt//Oj/ACB3wApEQyNcSQbAfYNLn9BIRtyP9NT
      2DKATb6TbzP4nCeo8NmDgJvHNvg286XJekMxXq/uAZaK7QW+4beCw5uDWjl8zpQZd8TIWbuvtIxv
      4rOa+Z1rqONPtmXvWLZiL9zgt3Pj26xlK42zl/deB19krHTWyudERuuH0DYBY2QNNlirU+COy5r/
      FDterUNsin1vMHOxWWEjEt581mg8vPLxtvSFzSRN+NOkaq2gdx9WDYnpemAIQNvzpZO102bmIn2Z
      Of7p8Mpt227pplbfaw9K9cGPL0qtcm5kH/W67+7Pjt8cBZlZ7jZ1Vr7o3R5NrlofT1+2Lv2L/SD3
      vnPTTjrltnvy5qJ3tb1dqBy9fbu7G7uCxwf1dVbQuZrhpOcsO23l1OXgVNIEmxdfzpSV1UtMaCnT
      ViHyZuL5vsk24S3O+5/y0U8hWDcgCYivecpKLyhgYsLhiSyXWryjUrHbzYQ4CxPvbue9yeqVjK8B
      oLl0BgN31HNlXVqZiXNrtrzOXXw3lL2bsQqRN8D5gCeYPtOOh44ouG3Zco/LlWId6I+iiwSbHr76
      ftcurHEsIOfIOPAXHIK0fujXPAO8Trbj+b9MrGf1ps+2Z71cOTi87fY6w3c3F/b7g/6Ph+3MW7t1
      fXbz+qj/Iv0+mXO8F7mLfG+aPCvfnk1Ll68r95fZve3DgX9fm9aPej9dTG9e3XjZ1sHw6uRw1Pt1
      m34IwT5oy41fzZHb85jsBg75YuOnPnupjJS1Dg2jAxi3UJEjufZKXc1gla5mJlWweomuMt13R71Z
      3cum887o7uLuTfV1/eJN6/WL2Wj09mJWSQ2zw+F1264fvhh9LI3H1+Wj44OjlPPTdqc1eFc+8V7X
      Li+HL67vK9s/nd9d73nHve1fuURdxw/MjuuOTcYGnQFfJ1s/31iITlaAYi1cP8xWpXvHyVJkXZVD
      CPZHmGs67SlrW695OumzivHdtpVmpGlu9bvTEQjueq8FrSR9Tq9woK6bovD5Y4h0nfhJpgm23Il7
      f90frbFvgBaFlDH+oKe/4KAr9bJtpPyfifWt3k2p9M2s5HycFYJxvrvnJIe3ds/ZKVRfD1+45dbN
      /ZvqoXcW5FP+0bBbqfRfXN3tXbyrv3zdLR8lr1O55Hbl+Dp5n7J7ZTe/75X3k930Uf1X7qbWXSDP
      uq0zmtVsDm/s5lthW99Q6MLjTiYhI4zsuD6rfsZYTyD2Wc7KqO/ZfuRZXju8gshGvPEFe97+HH4E
      ozH7aqd+E04j5jVu++kzvfb2gxph48HfJtaxesslT7r5+t19/WOulrk7e1NtVUvv8jvZ3KTQnqRf
      VK8KpXK2ExRua6eZvbclz/0xWzjx9u/K54XTwv3r65Mfa8FVvdbPde+ruVep8V6nfdGqrLXlVvOA
      daYRbmQwIbjTxJRG5qU7gARiC6XY1BdM7II22FQveGNiO6snvza2Ge19k+rPXl7X7q/azpvOx8p0
      dJJN/ji79l+9SfvHe6+6N7mPqcnd5dt3yXQreXj7yk3b7ePxcD84rdb6V4XDnZ3/Y+7KmlPluvRf
      +apvrRwRkKGqbxhkFFEGEe9AGWWSQcCq/u8tZtIcTYjJ+3ZfCUIW5Fl7r/HZ22Gtuumk0mQ7rqQf
      RrWnoXMxK0d/oOvZcbLd56rR+b9+TVVuGfmv1Qv3Vm9anZ91T6PwgxrtxL4psTs56w3+Wm+DtsBx
      VMeRLIXFZkiQGUntfQKfVI1gLQx64aEgPuZgn8z8A8SvPcBOSbGqzayEzVWGSOsxEa8XiT4sW0mL
      lMxSnfCHdvr+RHi2y1eW23PKcw2w+6nrzYWif6TFz/17Dy8ehb6V231GxYvj6Zp13Y6bz2Ph3vD4
      viO/Ib8bJ39/ex4wPRw7UeGJMsWWM70qhyv1aC8ICBtIKLY9zmF64Ow9yHMFTuI5zrQg2wMQtAlH
      YiPpRjhY6lM7WEtpfQreGcYWN0c9nwmj+IcDptsa88muuvUk3V+NTwbr+0lVz0j9Q6RwT1PjhzXV
      Cb5Q0dmHnyV+rZtEC/fuhmQmQSZuV9QBNumFQbnxZroWY2wUbU9ujUgz7dDmDLu0NwoyHy4JYjtm
      0dkAKLUcW+wDHSgZa0sjjAjPSqGWid/xgP2wTXfBPVSBP+gjDu8s8oxnd/B0lvI1ku0uGK8SsXLR
      MRCNgYrVoqhEdiI/NeFkMXJm/OKUGK4mZLsebw0vEfd2so+1nJyc8tUZGuWSIC7AtjSkQJPBFDgg
      k3pY/9tIPnXbBlodAfXuSAUfxvRd+Du6b189nSV/jTONIpWOQlWkrnJ6pK8YWJyAmtQsl7VfJJTn
      Eq3m4TtsjojsOoxWYi5PHXgrLEQeIptgXIdOsU6ZlWBMoplBhvO1ZPu/EbMhpxgd6AX03Qjtuh7W
      H9zncOz08XSW8DWIIs/ZU2FfoZDC5kM/sXMZr0gnaGZsdVAXYRUNwy1zUIcio/LcyDeW21HioUeZ
      awZmPnH5ZMqiezhBWG6Bb+iyOQznyA9N8vMWNU/d3rzec/UPvvTa3aK9Z2f9iJ0e9dLMVfXxloK6
      euT3KysXcjs9vZ89neV9ra5qCS5kYw4mxrFoQUvKMEsJbD/At9GRGXOeP1Y5i8TlQGMnLa0FgtA2
      QNWOR4vVtjXskuBmlQWvhKMubixIPor6Fjr0stL31dXt8vW0c17zyA81+VNialuJ9/TC/76d5J43
      I3u79IBe++RIr1n4LXV2eTn0bXWeJZ4Uef58Osv4WoUKW9dGUi8Ou6VrHcRlCYIMO60Hjaluj4RS
      x0BeIbSvLQmoivWxv96A2BLayXBRembe5lo0zaqDx+NsEIRRSYQze7P/oQrj1zz/FP9+G3zkVsSc
      OU5OXzxPckrrQ+BVZeeFFqeREaX51bXOBmTPq0X+67l39Xbpf/roObuXJj1Wue4EnrWcbfvWrD00
      4ZA5sm3pIBVSjyDYLGczqlzyseBn890wT6nj1oZc3kdGw2KYzAtXQdKkleodRShDOaKglqSAaKIe
      9HQxIYqCz38pBug1V065i5M/r/T9JFL9fifsUnCH6cXpOVLt0QQT+dkwoQVyoWxWNSBNl/56ggcL
      LmYRbE8sedLDqX2sm2G84H0vCHF9LDGHfL/Tp2PGLtv2uK5kRy6B49ZRHFg30U05+OEE+irtvG4q
      fV5b8NLstaQA/jQZva9hx3lyg7wo72p39IB2X4WeNPt6+HSW9LVWDamO8amv6OnA0C1lNjgo1UTb
      sxjOe+vMX6qz3ZbxHBsp1OEElnOan6EljFGEU6vcaoNQWOS4NCaKbj4+mMjIzhdR+tmM+QSapKOn
      Pmfqv2dF3qR24Lwe97UnCyDBOSWAY0SoWH45cpgoPggkup4smwqH+FxqA6lgTwbjlD1IxlHxGsRg
      91XrLrz10oZGB5/1Vokbz2ezVdwk8k4h83+xPnka8s/713VT/TQzyvZXrcrf4juQ//qyr4VxoERx
      PVdfw/mMnYIQ6OneCkAWs7Z1jgAsbkMmZwZTTUnlVZzLHiPSHkxS2yI0sEmiIbiz35psrGRCHcyX
      5iynLAP6JbR7ze0LA3MbZOiRAfwq9Rnb5+Ons6yvIV27Yw4UmxJsQu1gC4c5uDamE55qCCQc+EQs
      HfmozVq42ZDe6BQVJQ2GGy3A2upg5443NbVkmOOWYnxwpVLMTJ+qyKb4JYfYE9LXtKRM4/vAPmQ1
      r2U/w3v5TV8byrAeB/rYUZwFMR6FIbq1kh0z3/AUL+JUNrbjwQb0FqrpzP3MYscDp8inMh34fJon
      g7mDMKxwNPzVIi3nBxQKNSvarn7oGW85u3/KpRUbK+uWn8f3LHc3/78f5l/IPevm7exsT3qE/LNA
      rbI1LDsVW+cIFrG808bDXcGvJSHd6qysUushoyZas8mdnX3Y595WbyJBlrIgtMT1MiSE3MjZYogI
      LSZLVRvij/q20rqXA43+YI8M3pPADpXTx9NZwtdwWPwpEGvQ2KqXFgQAVgSSyWQCB7NDOtpPtGaa
      z/lhCoyn6BHxUtSl6pGATBaxLcJMLICEiu68JTMUJ2ujckl3S0XSZv5L5rVPgeyaenS7cwn8Qb8P
      5bvcDtEL/tJZ3tfAUoo2MrS2WqQ0io5YY4ysJmtmMVynqmsE25EViSxtSvGuBNsI01f5UoGzItsb
      s8lmLx6W/NFD5kRUGmGzUdV5bqcEHPx0/t+nYT1CXrrqRPdS0ecUB+ihOs7f4j8o7IXwAPWr6izT
      kWUPFqv5cQ2XlIWpNc8JjKUeW1hBVM5FSRPFc4akXSDY5tbaIHZmTod0iFWGpcaQCmriwBfQYTmi
      JvEaDVf1IPuNCdEf7zcS3S2Qr4mavUF+ltkh+8LCO8vpURjW8M1ubPKKPsBY83jUxzsNcjiWGAfT
      wWi9BSZVKcfaBKfL3UA7VMctCC1JfeBsUG4+U7VmZcrjsTdfDv09nKmkQIdM9sNp8M6ou1H+umbi
      dDeA1zfc7vS98spu3PgZ5fKlT9JxSdDrxPRG5f85C7266xM2y2XmdOP/vHbQzy93RWZ58U7dFewD
      UavbfNe3km30htGHQqN7GiL+7ed+SbKJndxznl4XuNy/7QvW35dcnDTZvIL6Abmz9l+B66KkK1xO
      CUzTdgs98rcXQy+vf8LxSbwru/uXNvO0Ku8Nu8K5IDd8uJIfOrKcVb40zv/+29O1bl3jRVX34upH
      dtHVxfcC/2Ocigvi0dvffEq2637YYZNG3c8iBwfn8lU+tOuvb3z+FcMXy9fbRl5ziW/3FsaPBGJ/
      ib+wnO9fPp2lf21E0WCGBXOJPsoSN9fNKCInxWJrLEnEndPSfF+HpMXkXg4LXj4cpLvwcCTagc5F
      pjkdLgtALuRc2tUqMhfoHRMJddroya8kbCPk97gWN3Tyl+yPpewP8c07ffz0bqf5PuoxFP7mpt7j
      v30/W/kg+zQIPnxz5sT1yFpcaL/A00WLhyDhk86Qw5cUPqqnsUhSlD70aDkRZ4TJjv2illFyKoYA
      zm3GnDk74huWHwyaKKMp3qOtoDwNCIjQFAz+jJb1BV73aLq3S3SPRBz3H/OK4s2LT2C/uCTyt8Oa
      GUx3OMatU40qo2VucaXrj1dmEPKhFa02O7Sw9LKyEpVup1KTcL66mtDCnmtoNC4UjAYqKt5Huzqk
      llhzqLnH0sAP7vQXIbwQ3IF2cdoXpmGJYVoLbceCsbAN07NklqJMd6XUy9HAdgDQ2JtmNEV8IJoE
      OiHNJSzF9iIrAyOT38nccWeBVQZg9cEzaSCmA36wh35IB/wHY54vg4bPQ4MbfvaB8kqfGu7Lr8E7
      95prwENs8Tep3Wh5PX4C+jHF7UphATcjS4VTNUomVAfxaXCMlZPKZlJlasPrGYHMGmnJzWrQkzc1
      l+J1e5q+R+koE+Mj3hD4dCTOwt1wViKShlvmp4WVX64kvMasv9dlOEvsoOw++3YXlGZotJs1AnCy
      tZ+KRIBsOEUUefTYGLYAjSQ/KeOyllJLcxh0xXC475MZduA1Swq2bhQqC8QxDUrcWadEtN0tBW4O
      /hL3q9fI/MDGvVea/T5d6UpyB+vl+bks24OohK64WcOh+xXesOOYr5udX8Va2gwlXpltZI/OG6OQ
      SjAjchAyuAyRciWaoQypMhmV5YN0KQMMCsOB7ikYmAiSy4JqL3j/cQrqRwbt73UbriSfkL8679t1
      wF01VK30NEIUfslng0YVogkSubU/UdHprBQtiuStmCvCHEysERkQpDBPgVgOwyPGCrSuWHlMzdm9
      FSy9ceyGNo5RP3Ql32Io3+ybfb+l/Hf34jm5uk6x73DaL27plPDKCbjxFh8615cZuFU8FW1sp9H7
      wz/ekL4s9QQ/ghB3BKM33V8KeMDT/V8QtS9h+72m55vUl9nxLRJFoakuGaarkxnHhQMv8o67r1Ed
      pCjHLjYovAtMxKoDNvXEMlVZ2wvNyZAdDiK8YCDJYOazDc5vUpmCZdoVObdh4gz4Ie/vA+nk9jC/
      MY4fXFvZp6X0MqLv8V8fMGvpmUvUfZx5rn1ap7qo+MhwpzMpEWhEqZnztQD5NV7PmmZA8qQchEnE
      4vMkFwpqo4bFqG5bGjkImWWWXnKkc9FU1L0LyTKiuBYONYXy693of282XduSe77++6q5kHvS0MXZ
      2c/3UNRoQ8+2tQAKVurHNlR4sByLlkTWFQVjhZkEY06vQfpQUNg0ZLWpiPsDxx6tEKWtZM6BfQ3Q
      p5SBYEEa+6Geivo+mvfyNv9vFZXeJdBeW/lv6Cg9c2efD84Bbo8IDPAFHVep+aHjGZDbNbOfzVeG
      hWz3PmpsOWDD83g7oFoVy1komcIYuYlyC+di0V8uda6dGzNubKINXRMkarueGu70n64w+5eXkF3X
      wH8v4biQ26nl/axv8sGUdc4OnYo8WpPQdJS97EUtygL7QxCsUsFIDhMOXI+yiNyuPLsNDxCccZpq
      48fU4aSWbiFoQBvt2ChxIx1oulLKpvrjdP85kPl7NW7iO6f3L14vXhHTC+d5b4+urJy6f/uID9n6
      30XxNDhv+eQGzwX50T+ZzV/q7erCxSveGyXfj1VehXb7nbwcnsdHj0hFqWcEvh6i81wEkNyc8kdG
      iixmEKFQUGfHYq/wjGdLU1vbTGlkI1spBmqW4bjz1eJAgu4pRCHCylQnyVZFZ8NYo+zd9pesah+g
      rxZw366bIA+Ued/FnjB9P3k6S/saVdildiheF760PUoZmHMAsjdyYQIHabSf+pTODeSg4j19MFBI
      YIDDs4ieYiOrlFF2NR5Xulg5KVA23Kw8TFoeoU92VOpVOfl8KV5+sRbvBHFXMgT/89//gR4K8rrV
      Hr3a1xfT+t6Y//7q2lehnX5eDs9jvsfK2t3wwForeGhGFmQcW4k6aAt5ZTo8d9jLYpnsyW111Ljs
      mC3WR6LYiZK/BsXBJCEDVcKPrJryjCNlK7Gx4K3prPnF3qnvjflup6ZPoMm6tuOf8H6s9ciGSG9S
      O3Bej5/Osnp4c5EfIgDapI2qpRzKhrMR46r2NNWBgV1qwSYsFqqxiPyhv253M0zMYslFK7OeG5Ay
      sHZrRBnWI2wdrVSONFeBqc/l36Jn9lpeFBRdkhMHxT2TAD/kit/Fdqi+nTzB/Ryxf8hSHtmluS9I
      iROC2HirekhSjQYOUjUFemQh0iTisd3u6cITZkbdHCXkiATrgPAWCqwJECDEpCbX+7VeQ0bUchDx
      WL/n9NbNPWweC1POEs+wnD5710W5RppmeJSIHMspiYcvGF+hJNskNsssQfAiVtnNHnIhpAm95dLQ
      /BDe70+eaBrtUbUIMXLg8ovRpKImLA9GYtEuHP6ekfx8Gt7ZeOa2P4EfmJG3HnDC69bXT+cnfA1f
      Y9sUN95Spj7WsOlm4vuVj3L/y921NSnKNOm/srG3RH8gZy85owKCCgIbuxFyPoMcRPz1q3b3tN3T
      PUM7vhPf7sVEUyUmY2ZRlZX15JNzkhTNbovsmxliQaelzS8CmxPdahuLOjg/nlIcntJ1s3PAXI5F
      rY2nvawCJIqtVB8xfvWefq2+n0NIj9s3fpB9VtqHnrH7R3Bmtk7PpZi4UQeuHxYmHgmpZR7laeEk
      OEoDcWbMCwZc4TRUiZiAGogDVYYjESydoG0a0VRVOZqeBTiPm9lUErvJX4Sd574X7674mK/OFO9U
      8Jvci3LfWmMVu4ubomZVVFB8CNfdBV8YmBPIikrrPZo0krDb9tugEJEDBAsF3ZkmLDNGga2celtC
      CVK5Jz3OLOf8VgcaofRwi5mLv5iN9Rk86XFT40/Sr0r+0Dd2ylwXKTJBDWw38FJUIUGqr7jOwbdt
      Qgeqx6jWRCpIkMy7opO62Ioaig5pY9uUJ0oA5K3sGNzB9dzKiacrou9hOJtqD1mbR4OCRkRAmvOO
      /aLcOurGAH+usDHP+fKdwNB7rPYs9GKr56unZ0Ej3gYd4+bdTIG3rJ8zLlXBB54OKjBHOSrazgtd
      Wa97KD6v+GBqOh6uhjjK5f08VTw+osndtp00IsxszFo6lmBMCQZSPipMNebQ9B0K7ytM7/cXwDex
      rzq9Nq4Y3jGL3cpFSy7a4P6OrvSJyRNUUi15FjhquanQ2NJY9BXa7pmOrkRpDdoOzdYuROTWht0b
      coirwVFPEqUisSXOeLANYuL2T9N6fwy8S3DpOszuiCaMssnXU9I9GKZrEkzeXBEjIzazOJ+durPX
      ZQvIHN6BisFQmc9FyWmPlcdQHHaMPh0s8+BKzaE0duJ8DzbY0ZzhoGmqeHsiVtMjtWzFYr0EW7Pl
      ke1qk/1K918r4h3x4+OoeN7EnhXz1hhLvEMugwakdC0i5R3n1tkeOy5NiNGmQ7XhMS8jyDzJZCVY
      LiAyOFXhRtRWmkofXTXj2lkPDauqbwC7BJEawLYrZyA6RPiLGRcfGSE+3zPdk3v1TvJZt+/aT+i4
      vKt6Hm60ItULcdLwPTlscGOtIycWabZ5hzd2NGt8izRMQFh1iIrzBN8Bc4UtzSDNuMyR5uvCRXhd
      Ew0fdXUsSgDa1R+h3tEBkJefffZXq/Pfr7035I44yHvZbzp+6Xh6FjsiQxgnYilD5zBncsLGCXyR
      CYI6YYO4PUiUEkJ6ZiI9r+vrzXEKL8wV74eyqBvhes8B/SGinBjd7hMhnLqnodkYMFc5/sNTCP/e
      8cp74Njnk+89O8EbuRdjvbWe4HH7vtLITmmIcAoVMSl88g7EbN57oKaz6AleHVd9lbqCRVYNY7iM
      ZSt7tLcKY0tJogw4ddvNE1/dxhYPMlnesTXJRBiQ/uHZ8k26+0uW5h0r4Rhf/QXi//n7c4+jdxF4
      tYN7YUYa5eFlym4ezgBYw/SVRqeuyy3EjbZUd6anHwvb5jJtY1uQzOtUt+P2/oQDlOEQeidwNxuU
      GLen8mmJeYeJSBYYCQqcVCHAr+IWIwzQ17uquv4nxwCkbzCPX0GKvu9VvAo9a/P18gokGuFhMPHg
      L4/8Bpzbg4Ll0GmqBmaPrhl6jq+H8DRhqwzq90kWsZwg0OpEKBrd4CSowpGoFCaBmyCBOBRmPFWs
      JVpslxKw/4uHEDccPV8hzb8/UbwKverz+fKKLR8zRSS5r0B7DxigpDlxbWmhZA2p/h7zeplLZxmz
      7HANC9BJFqRNb3aL1qqjsNxUUjHMXDGHUT3aHwFss8/hWbHupYjDH6HP0cpsy6ezSvxj9YVKybtQ
      b+9Fvyr2R8cTOQ73RiReb8xWbaOSslV55rpfriHLYyG2A/bLkgcpTp21JKm6DF/bzOmITspj2k0S
      liQjm+4dRZ9xQbU/dFHC72RqL2+2xf2Iw7+bZ/MTF//nKYn3uOHvRV/M867jCRvnjne+IAVZXReH
      nkaOXQl2QulglYfxCpFBciMFkE0SJahr+artk0MwZIE7lbt6dlxR26FnrE1YHyqTdveJgS4DxhKY
      2SNG/wT/FzzOYXyXkfZVLOr7KdBvYi/K/dG4Rp9GJEBnmdbI0lpndXWDoolX6+ASIfZZEZ+dRFYF
      7L7Oc9st14tBWhxa+1gNBlTAoMOCCtrSFGWD4ZzzbJ1YyPWuXEwA06L+lIf+Bjb/ASN/+RU3x2sv
      Z2l3OCajTp2qrhjc5299bjDknjXgRejFXC+XT1dJvzfWwWoJnZ3o022ITxCyiaRWWh48qgNItmHA
      OONbzhBdEegHz11XCgdDVLBeel2Ay+mK30USxluEOSl1olgYNt8Ge5J/CH/jCGXuvwp4fMjBHKvH
      /SXisW+enr/+e+VZ2+0mCSl6vXAPDVhs6XiqDq4FzmN1vl+y6JzCy+naT2CqPayFXW0eFwyy1NYp
      WlHn7YWnZQsqwliUZ7R0rqRbQKAK5CsXj16zT8gTk+26xh8z5JvYu86KReG/Zq3cg9a9jQ38vW3V
      h5TZr6Cf339VbgWfjX3bvEJBR7wyYh02R6Cs9+UQFnnEO4udyOEuPMXngLihNLM8cjweKl21Wua5
      MF+VwykQENelDv6eoeu+BuHhqGG04YHCJsN24bJf/8U4zk3JgccFbl+FXnX6fDk2aDsVSJcC2k5e
      ExiAC+DmtCWXrXTKaVYuyWoyXx0VjLIBiarI7ihQpEEKdo4KGgoqmKZoXCHlIb5eE/3QrXNn4Vfx
      4k+5GH9Umvip0MSHNPbflIq4LJjvPu6KKn72w+6GTI9aZ37Y47swKOKec/0vYVDEmGnUDXAJZhsk
      wgjDyFPbB9QCwCi12RB8tZ+3XBTFPsscag6WF5iWTuUhCEJt6I7aJsdpJgp8W2ndpSRW05m7XRnu
      zKX/EHz4T8Og/p189R/sA597JPcg7J9FXiaD68XYojOFtKn1RQ7rQywRdRbtqg60MxTjeyVMbWHH
      VLYzE3cJa4V9NmeWJ2mdAu5MpYqG2xtTDBOSmTQvFuellZkUhnoCQsr657JOXxGqnxSMuQUXXb75
      4fPfME183Nv+5/+Q980Wo8q/vGff/3yjds9aeyP3Ajl9az1h41baukLWJUQsXC/PF45wCHfKUVvP
      a8IRjLWRYuspt5/wQFU5q5KAAMvfsce0x1iPVFQFEFjcSQorh41O7RgzrzrrkDPmu+Hw9vb91w/9
      vWnyP35RCmqcw3P+seXbO3hjuS8ec7Z87Z91/qvn9H3/r5f7rg/77jPO83PTZZfarr98zLPYZ0M+
      swTfPOLl6r+/fzb3YWL96rjy+1kJt4Jfhttr83qEOSJDwbJLZEHCa5ZYxUMMcRNOU8tEOhFp5VfF
      WptNZ4PqiGI4MU3TPziYN58RbTUoMMUeBVdzRIE4uMNKTCHX6feuVsd6ex9W6oX15XE5TxeBF7X4
      xeicp263hba9uaikqZOZHFxCzioqJZgTzFltHzXY1tA8dIOSPnp8rpWZB+y3DQsnUh3YUFsnCwk/
      LHsoAUGf6l1K4pPF+g/hybezMfKhGOU/x3v0J6xGP9MVvZP9jvX7pv+3jAS/ZxV6BCvBuAXkPRHR
      49yIW8HXwfvWHOtS4JNwWjERZBQRMetaO2klQag2FIJhwFIt4M3AHkA8PqhwBFIeZZjT3akpj3kI
      gzJe2L5mKxbN9TO3KfxJPvempTZr/7Su1R+O1N+QUbwRRt1FXT3S5B/SbB45U92Kvpr9tmPs7MVh
      EmsS27oisUWcYU5kH1A8IZOl75SLPTaXc0tGQkPwBJE88pW6NXW5UepsyTJ1Wh5lzldi0LRnfbc6
      WKip9JY8r+7DDf9cfuFxwMEPsi/qet8zFjSYiscaPtmV1Xp5rUz2bFLXJmhP6tUkFUj2CIRptZgI
      qG/mB7Ppc5ebRJstvbX0U1bvrH4CDnaFWx1rEYTVHhwF8nL2D7fhrz/l6gj/mD+/P6ZHjegPz/oq
      NnK/ia6Sbwx0bV+jJGNOkwDA46PWPSIIhnT0bk+y7ApVuiPtt/SJIWxtGeUbbVaInIc769r0Ym44
      MQcBImwU1S1PWkdbfTBbTAaH6ET6qetMHkEPMkq372ORj0Ml3wq+aPamORaXbJvTqY+3q94vdXO/
      Agy6brLIO3+mRJi80fqyw9pCZ0OnHWTIo8M84th2K6jg0VkUeLQP1JXYJbrSn7BgAHvHiYov54nH
      FD78CSh0De5+XAZudZHFzet9Hxabd7flu+rHXZMv7+r9XXp75x+my/69qPJnKnkcPPAn6R8H5KVv
      LFiQZySxXbFgWFRMzIhcPJeWvZfzKtCfmJzlUnc6EEpjHX0e7Qi6bYqJ3fVhPxeOs3yWi7E7p2pJ
      RVfQYKIuvGBqud78Ayzio0bl/8Xh8TzAH0cU8lH4x8Fx7hpLG2IwCaMEodw4A9JuvBKCCydpZdDv
      6x2eqGJebSK/SDdWRFbCtHNtcKKS6xLtUF6g/RSkk2ppNCwjlxIFxh29mPHm6iG1V16Ko37OofPL
      ciufFAGF32/v/n8Nr7c59KshdkcE5JMHfBxmL91jqwJv1TUoHkRtYxVi3EjlVHb3tLicpzCfikuw
      zapD5g114efoztcqNNrFSDi0UdOHeAVNynW5yTCydquYpxIedmqYSseRkv17DrVxC+f/lQH5e5KB
      OwbhFyQDY2pJHrgBwwyEpYkuLVYlgMZLYYMF6qTJVmSvlZHhpUUc2qpcyWfhi7m2jfrYoilmziF6
      BlebgtrEUURbxSqyNVGg49VfzBD7QB3xuLXjVvBZr7fNsWtGiTVrdcGlIcjONCUXUcSAwM6vpbo6
      Gb6X6hHZCsph55tVUHV9svCLbF0eQXgJ0pvM1lvOB+YC0WBWxJ1wiFQzShy3ZnwDX/AL1f6gqn4c
      HcaLzItCn6/GkmEs7QYPm4RHD3KFwPuacWJjndZ8brYCSNmRhbRQTMm1TMeUPRjTkpJac0lGTS06
      sslPj7iEhHXGd/0WLqkT4e4OgPCHO4bfc86/Twz9hP3tU2L1O6ayMfb8cQz+OPf7WeTZms8XYx3t
      Khlgx4rWTRf022zRqy6QIa5CAH03zxZ4d4Isb84tM411MjwpQStTYzR3yF2opwZD0jxhkEp38gdV
      2a/ShkKiU7v4i6Diro6fvuSFQO/KPXgWedHk9eJaU3MMWXm90IcBQbTJ4E7JSpuwVC61vTmBpjyx
      mQXbbDuxvJLcZpM4nqx9Mfb9CBLFQPUlOJDNBX6CGtJ3F800qJlOmh+K8277F2go+BtoqBvc3WvZ
      gt/r9oUD/6twxfcXx4vAs14vf8byltKK4GylwIN8Xd05UWrqRg4lZNcdVtywibDysNqB3lD2IL2n
      HHs+MAAW6MDspC1PObU4WXtrRc3W5SrytBrxZzaomvu/WHTutars4zyMq8SzFq9/x/oWtDRDNtlk
      s0XUQ0ZAGTLsEQtHY2DXV725bwTa2qbpXm4LxwxrmQWGhKijLZR2HHs8zXeWKSTcFivDXbVQZO78
      L4mdr9a/kdkYrwQbr0cAP821Tlz8rP2nH3V6zx+DNz3fnqpHme81Y+Rx25RnkRcDXi/GbkUydF2B
      7Krxy3raSzh3MGBg02kFjnhyqib22QGemmkYbTjHmC4ydT056o2NdAQ405Zof2xdnkadsNLUlfu/
      7R1rU9tGkM/6FTtmiu0BS/ILJ2Ro62AgJEBIDCVpkoazdMZCj3Olk43d4b937062hcGBMiWPVjsD
      DLrVvm5vb/dO0r2tvtka0PGR9bDP8YzZojX8ql6p641/fpYRUkSD4O9SQuEep9uOT7jxJ39SDt5F
      O7tYw1tb1fdBd7t5WT9042CrG7S8Qfy83d5pm5WO9S6u7fuUmM2dvZNhZ//08vTosmo/7T9p198w
      El+8sg7fXC60x7/yQWOLeU7QI5Z7n4eShC04K6U+fbLY5LUHnB51k37SAdcvlhT5e3y4xxhXj14N
      rGPrmPLRhVfuuheNpwcvDrcv/NUX/db64bsePb0Yv6bu+4b726o3bGFNPVx1Bi9c5yLYah+My6OX
      5PR56+kgNnYs310dbC+K09cCzJePxlC+KtK5Sk2ff+tLEz9X2lIGAnRDR7d1zgMW0sfiYSKs12ri
      b7lRL6f/SiibtaVyvVw1K+VytVFZMsuVeqOxBOZjCZSGGIvqEGApjIOAhovx7mr/QQEDlN9nEdVH
      xPc0nQYDLR2SNItw4rFz1TzBtdBozC/5Vl9e/9Y6ZPBw0I23283Wwbbu24/G447xXymvV+bHv9mo
      ZeP/a8Ay7JNO1CcWhRIcbB3BLuF0SEaadtxzolljP2QDx6YRkAAYZiIDhw6BdYH3KHxI3fepcEs2
      ZDPLpaGB8aJ0rtCKayAT+BldQYh0HA8zDOAM0Nwg1ncIZvOhM6a2FE4+DBVGIB509EYoi42XrDjE
      f3RNW0ZlKAkDzNNALWc7Awxhc5oMHc8DTgkyH7FY8u0yz2NDvG1D00qKBsrCYi5bW1L6a8aZIPXY
      cCKswEyhIBveAwKR4/c9mhIe720nIoMTCCGFCiHlEf6LtFJqIuqO43HkzRnzIsmJ2jHqEDCso5T6
      ZECxwcUsaV4qNF8gyM9Lhk2oeAjiFAgH4zvmlBBHwmh91o89HA3kXCy1WtANiU+HLHQjZVwSB2g1
      QW9iTTQuA+/m9bWpTaa2heTZHLTx2dlZh0Q9TfkFJNMKlLrALAddR12PiDBdZHgJzVLKfyDuQ8kW
      hDStiWZATuiXmA8q1TohG0bSbiDcEUl6zCJej0V8o2pWTeksy3AitU71cYtGLmd9oJccDYqG0bS9
      rnSTnrRzSsMZDvYbxhDPQx8tnCUq3WiEBTpNEc/A6WK/chwZgp+F44x4EYMPFnaSi6zRh7GUcGcD
      TKirK7JqlKFJO4yEtjElWuKk88v0vz178y4pVoSdhEcswkz1wQp3uEc3lel+qpjoY/g78bKisP0t
      jqFnifd3BbqBveLigNdFAfg4PO6Y/8t105yb/6tmYz2b/78GiKo5F2CYFwXzbaNc1ty371TkJp9p
      TFp+tIxBKeETueKYcwKbXor34eXVyZ6SqoPUNaXsbK0hx6l6woxaPQYfc9tiB34DgziIBhAb6WK/
      0v6Yg5UVnBIcDnIxQq795EIqT1RmqeX29Js3yVrHZI0Jr6wutNOXorQo72dMXTrC+dwWOnyQL7Lk
      SMx78ptxOaXkLSsuuU58ntJ68arX3dIYThTFNJoJ1GM+7RP5tYyHUVwOKbF9OnHIW5aEcr9iJ1JP
      7hZeqqeqLeYZke1O9gRnHxJPn6r6R/r08PSaklzt/I8sI+lGFFrG4/IQQb5Rry9c/zFvxP9yzawu
      Qf1xxVLwP4//qv8nse9xeNw1/zcqjRvzfz1b//sqgOUpCzn8BQdWvy3nSrjCuo/5kF8YNtU7SXJ2
      Rp/JP9OmRNrcdpgicxySIJKX700vEnfPURxPb8cAjA2aeJOTJ9M6bEKAScVU9IIK+CKd2YC8TX1W
      Uoh5FcSTLAbbZBKT166KSNEwoGnbWKufUw6YGoRY/AJ3fCrLbk1R0NV2CuqF1wqSWh7xPyf4nwV+
      wmW2ESELJOS2i4S3EsLHgrAgkp89hpLKoxJskdtMREl0TXEQ4AT9mLflfg1OdLJ1zALkNtbV+dCF
      oq7odmghf5w0422w1zxsYlke+oSvAdXP9TVo+pgyWcQ4pMPP77HezxfTb9SymF/jhRNk7PE0p+ub
      WiQaBRYUZkLBVRE2f04ZRnVioqC0iOrJFs7pKDdn+6Jcp21FPk+D0kk7v5ao+btUM0X72RxdJS+S
      nImaZnU1ww8pj8Pg2ivDkoh4rAgzJOSHCRl2ifBY5C/+bMDL9utDfXoGd0FxQxN8WrtGBjFiC8lT
      e2tCUKFOsRJBrrTi1K/5dNQog9w2oAqITobEmXiGniz0FKY3F59967CSQQYZZJBBBhlkkEEGGXyH
      8DfIWuTUAGgBAA==

services:
  configurator:
    configs:
      - source: project_source_tar
        target: /etc/labspace-support/content.tar.base64
    environment:
      PROJECT_TAR_PATH: /etc/labspace-support/content.tar.base64