CVDB_with_DuckDB.ipynb

{
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  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Fernando-Fernandez/ApexTriggers/blob/master/CVDB_with_DuckDB.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Introduction\n",
        "\n",
        "As a thought experiment, we thought we would see how easy or difficult it will be to take the [Open CVDB](https://github.com/wiz-sec/open-cvdb) files and load them into DuckDB to do some quick analysis. The source files are a series of YAML files ([located here](https://github.com/wiz-sec/open-cvdb/tree/main/vulnerabilities)) that we need to shoehorn into the database.\n",
        "\n",
        "Spoiler alert, turns out it's pretty easy."
      ],
      "metadata": {
        "id": "jswnI9SnXC_w"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Setup\n",
        "\n",
        "This uses PyYAML, but it's already installed with Colab.\n",
        "\n",
        "This uses DuckDB, but it's already installed with Colab.\n"
      ],
      "metadata": {
        "id": "GfsTaL4VHYNk"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9P6RdXiqHBba",
        "outputId": "59ed1f60-2d8a-4220-bd6d-c9c17fa42970"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into '/my_computer'...\n",
            "remote: Enumerating objects: 2358, done.\u001b[K\n",
            "remote: Counting objects: 100% (319/319), done.\u001b[K\n",
            "remote: Compressing objects: 100% (242/242), done.\u001b[K\n",
            "remote: Total 2358 (delta 148), reused 217 (delta 74), pack-reused 2039\u001b[K\n",
            "Receiving objects: 100% (2358/2358), 35.29 MiB | 35.96 MiB/s, done.\n",
            "Resolving deltas: 100% (1403/1403), done.\n"
          ]
        }
      ],
      "source": [
        "# Fetch the files.\n",
        "\n",
        "!rm -rf /my_computer\n",
        "!git clone https://github.com/wiz-sec/open-cvdb.git /my_computer\n",
        "!mkdir  /my_computer/vulnerabilities_json/"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Hit the library.\n",
        "\n",
        "import yaml\n",
        "import json\n",
        "import os\n",
        "from google.colab import data_table\n",
        "\n",
        "data_table.enable_dataframe_formatter()"
      ],
      "metadata": {
        "id": "hq0v60heIGtj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's process the files and convert them to JSON."
      ],
      "metadata": {
        "id": "fmc9mRmaL1mZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Iterate through the YAML files, read them into a native Python data type, and write out JSON.\n",
        "\n",
        "for filename in os.listdir('/my_computer/vulnerabilities/'):\n",
        "  filename_yaml = \"/my_computer/vulnerabilities/\" + filename\n",
        "  print(\"Starting: \", filename)\n",
        "  filename_json = \"/my_computer/vulnerabilities_json/\" + filename.replace(\"yaml\", \"json\")\n",
        "  with open(filename_yaml, 'r') as yaml_in, open(filename_json, \"w\") as json_out:\n",
        "    yaml_object = yaml.safe_load(yaml_in) # yaml_object will be a list or a dict\n",
        "    json.dump(yaml_object, json_out)\n",
        "  print(\"Wrote: \", filename_json)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-uMixx5NI_J5",
        "outputId": "d66bce82-be5a-4dcd-e59c-8d23a2e9f83a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Starting:  gke-autopilot-allowlist.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gke-autopilot-allowlist.json\n",
            "Starting:  privilege-identification-cloudtrail.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/privilege-identification-cloudtrail.json\n",
            "Starting:  aws-xss-console.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-xss-console.json\n",
            "Starting:  aws-rds-no-ssl-tls.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-rds-no-ssl-tls.json\n",
            "Starting:  api-mgmt-ssrf-path-traversal.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/api-mgmt-ssrf-path-traversal.json\n",
            "Starting:  cap-net-raw-metadata-mitm.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cap-net-raw-metadata-mitm.json\n",
            "Starting:  aws-fall-2020-soc2.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-fall-2020-soc2.json\n",
            "Starting:  iam-policies-bypass-overprivileged.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/iam-policies-bypass-overprivileged.json\n",
            "Starting:  aws-waf-sql-injection.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-waf-sql-injection.json\n",
            "Starting:  cve-2021-38112.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2021-38112.json\n",
            "Starting:  cognito-user-group-spoofing.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cognito-user-group-spoofing.json\n",
            "Starting:  aws-fall-2021-soc2.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-fall-2021-soc2.json\n",
            "Starting:  eltima-cloud-desktop-lpe.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/eltima-cloud-desktop-lpe.json\n",
            "Starting:  azure-b2c-crypto-flaw.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-b2c-crypto-flaw.json\n",
            "Starting:  ssrf-in-google-cloud-monitoring.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/ssrf-in-google-cloud-monitoring.json\n",
            "Starting:  aws-package-backfill.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-package-backfill.json\n",
            "Starting:  s3-crypto-sdk.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/s3-crypto-sdk.json\n",
            "Starting:  superglue.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/superglue.json\n",
            "Starting:  ec2-console-xss.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/ec2-console-xss.json\n",
            "Starting:  azure-func-escape.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-func-escape.json\n",
            "Starting:  lightsail-keys-logged.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/lightsail-keys-logged.json\n",
            "Starting:  elb-cache-http-smuggling.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/elb-cache-http-smuggling.json\n",
            "Starting:  extrareplica.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/extrareplica.json\n",
            "Starting:  cve-2021-27075.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2021-27075.json\n",
            "Starting:  cve-2022-29527.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2022-29527.json\n",
            "Starting:  bastion-container-reg-xss.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/bastion-container-reg-xss.json\n",
            "Starting:  app-runner-vpc-connectors.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/app-runner-vpc-connectors.json\n",
            "Starting:  cve-2022-37968.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2022-37968.json\n",
            "Starting:  aws-java-sdk-xxe.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-java-sdk-xxe.json\n",
            "Starting:  azure-info-disclosure.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-info-disclosure.json\n",
            "Starting:  emojideploy.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/emojideploy.json\n",
            "Starting:  cosmiss.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cosmiss.json\n",
            "Starting:  aws-s3-recon-account-id-of-bucket.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-s3-recon-account-id-of-bucket.json\n",
            "Starting:  azure-mgmt-api-rce.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-mgmt-api-rce.json\n",
            "Starting:  overprivileged-aws-support-iam.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/overprivileged-aws-support-iam.json\n",
            "Starting:  notlegit.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/notlegit.json\n",
            "Starting:  cve-2023-21777.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2023-21777.json\n",
            "Starting:  aws-iamadmin-cloudtrail-bypass.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-iamadmin-cloudtrail-bypass.json\n",
            "Starting:  azure-front-door-desync.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-front-door-desync.json\n",
            "Starting:  gcp-cloudshell-command-injection.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gcp-cloudshell-command-injection.json\n",
            "Starting:  attachme.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/attachme.json\n",
            "Starting:  s3-bucket-tagging-not-restricted.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/s3-bucket-tagging-not-restricted.json\n",
            "Starting:  cve-2019-1372.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2019-1372.json\n",
            "Starting:  azure-functions-eop.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-functions-eop.json\n",
            "Starting:  cloudformation-dos.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cloudformation-dos.json\n",
            "Starting:  gcp-iap-bypass.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gcp-iap-bypass.json\n",
            "Starting:  cloudformer-review.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cloudformer-review.json\n",
            "Starting:  aws-rds-local-file-read.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-rds-local-file-read.json\n",
            "Starting:  gcp-os-login-pe.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gcp-os-login-pe.json\n",
            "Starting:  cve-2022-30137.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2022-30137.json\n",
            "Starting:  vpc-hosted-zones-unauditable.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/vpc-hosted-zones-unauditable.json\n",
            "Starting:  data_gateway_rce.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/data_gateway_rce.json\n",
            "Starting:  cloudsql-escape.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cloudsql-escape.json\n",
            "Starting:  log-analytics-role-privesc.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/log-analytics-role-privesc.json\n",
            "Starting:  aws-cloudshell-terminal-escape.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-cloudshell-terminal-escape.json\n",
            "Starting:  sagemaker-jupyter-csrf.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/sagemaker-jupyter-csrf.json\n",
            "Starting:  aws-appsync-confused-deputy.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-appsync-confused-deputy.json\n",
            "Starting:  azure-pipeline-rce.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-pipeline-rce.json\n",
            "Starting:  breakingformation.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/breakingformation.json\n",
            "Starting:  aws-sigv1-insecure.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-sigv1-insecure.json\n",
            "Starting:  aad-seamless-sso-log-bypass.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aad-seamless-sso-log-bypass.json\n",
            "Starting:  s3-replicator-cloudtrail.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/s3-replicator-cloudtrail.json\n",
            "Starting:  gcp-org-policy-exfiltrate-data.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gcp-org-policy-exfiltrate-data.json\n",
            "Starting:  codebuild-data-exfil.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/codebuild-data-exfil.json\n",
            "Starting:  synlapse.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/synlapse.json\n",
            "Starting:  aws-api-gw-smuggling.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-api-gw-smuggling.json\n",
            "Starting:  resource-policy-confused-deputy.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/resource-policy-confused-deputy.json\n",
            "Starting:  noauth.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/noauth.json\n",
            "Starting:  gcp-org-policies-bypass.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gcp-org-policies-bypass.json\n",
            "Starting:  azure-cloud-shell-and-container-instance-lpe.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-cloud-shell-and-container-instance-lpe.json\n",
            "Starting:  ami-recoverable-files.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/ami-recoverable-files.json\n",
            "Starting:  dhcp-abuse-code-exec.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/dhcp-abuse-code-exec.json\n",
            "Starting:  omigod.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/omigod.json\n",
            "Starting:  azure-cloudshell-injection.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-cloudshell-injection.json\n",
            "Starting:  azure-devops-dangling-domain.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-devops-dangling-domain.json\n",
            "Starting:  guardduty-cloudtrail-bypass.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/guardduty-cloudtrail-bypass.json\n",
            "Starting:  gcp-iam-pe-multiple-services.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gcp-iam-pe-multiple-services.json\n",
            "Starting:  aws-console-rate-limit-bypass.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-console-rate-limit-bypass.json\n",
            "Starting:  cve-2023-23383.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2023-23383.json\n",
            "Starting:  cloud-func-gke-bypass.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cloud-func-gke-bypass.json\n",
            "Starting:  acsessed.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/acsessed.json\n",
            "Starting:  iam-managed-policies-lack-controls.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/iam-managed-policies-lack-controls.json\n",
            "Starting:  cve-2022-2385.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2022-2385.json\n",
            "Starting:  alb-http-smuggling.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/alb-http-smuggling.json\n",
            "Starting:  azure-subdomain-takeover.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-subdomain-takeover.json\n",
            "Starting:  synapse-spark-lpe.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/synapse-spark-lpe.json\n",
            "Starting:  log4shell-hotpatch.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/log4shell-hotpatch.json\n",
            "Starting:  azure_multiple_ssrf.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure_multiple_ssrf.json\n",
            "Starting:  cloudformation_cred_leak.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cloudformation_cred_leak.json\n",
            "Starting:  encryption-sdk-issues.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/encryption-sdk-issues.json\n",
            "Starting:  cve-2022-29149.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2022-29149.json\n",
            "Starting:  synapse-pwnalytics.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/synapse-pwnalytics.json\n",
            "Starting:  aws-codestar-privilege-escalation.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-codestar-privilege-escalation.json\n",
            "Starting:  autowarp.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/autowarp.json\n",
            "Starting:  terms-conditions-customer-data.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/terms-conditions-customer-data.json\n",
            "Starting:  cve-2022-35829.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2022-35829.json\n",
            "Starting:  gcp-cloudshell-xss-csrf.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gcp-cloudshell-xss-csrf.json\n",
            "Starting:  apiary-ssrf.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/apiary-ssrf.json\n",
            "Starting:  public-ecr-undocumented-api.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/public-ecr-undocumented-api.json\n",
            "Starting:  azurescape.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azurescape.json\n",
            "Starting:  azure-waf-bypass.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-waf-bypass.json\n",
            "Starting:  lambda-cloudwatch-timing-attack.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/lambda-cloudwatch-timing-attack.json\n",
            "Starting:  dependency-confusion-in-aws-codeartifact.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/dependency-confusion-in-aws-codeartifact.json\n",
            "Starting:  asset-key-thief.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/asset-key-thief.json\n",
            "Starting:  iam-multiple-mfa.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/iam-multiple-mfa.json\n",
            "Starting:  ai-hub-jupyter-csrf.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/ai-hub-jupyter-csrf.json\n",
            "Starting:  gcp-cloushell-bugs.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gcp-cloushell-bugs.json\n",
            "Starting:  cve-2018-15869.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2018-15869.json\n",
            "Starting:  gcp-default-compute-account.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gcp-default-compute-account.json\n",
            "Starting:  admin-azure-rh-update-infrastructure.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/admin-azure-rh-update-infrastructure.json\n",
            "Starting:  gce_ssh_key_injection.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gce_ssh_key_injection.json\n",
            "Starting:  lake_admin_override.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/lake_admin_override.json\n",
            "Starting:  gke-gvisor-sandbox-escape.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gke-gvisor-sandbox-escape.json\n",
            "Starting:  azure-logic-app-contributor-escalation-to-root-owner.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-logic-app-contributor-escalation-to-root-owner.json\n",
            "Starting:  aws-data-post.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-data-post.json\n",
            "Starting:  mwaa-leaky-logs.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/mwaa-leaky-logs.json\n",
            "Starting:  chaosdb.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/chaosdb.json\n",
            "Starting:  rce-in-cloud-dm.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/rce-in-cloud-dm.json\n",
            "Starting:  brokensesame.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/brokensesame.json\n",
            "Starting:  hellskeychain.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/hellskeychain.json\n",
            "Starting:  ghosttoken.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/ghosttoken.json\n",
            "Starting:  power-platform-info-leak.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/power-platform-info-leak.json\n",
            "Starting:  app-runner-observability.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/app-runner-observability.json\n",
            "Starting:  badbuild.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/badbuild.json\n",
            "Starting:  aws-imds-credential-exfiltration.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-imds-credential-exfiltration.json\n",
            "Starting:  gcp-8kb-bypass.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/gcp-8kb-bypass.json\n",
            "Starting:  aws-directory-service-passrole.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-directory-service-passrole.json\n",
            "Starting:  aws-route-table-modify.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-route-table-modify.json\n",
            "Starting:  aws-codebuild-ecr-iam-vuln.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-codebuild-ecr-iam-vuln.json\n",
            "Starting:  cloudsql-privesc.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cloudsql-privesc.json\n",
            "Starting:  bluebleed.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/bluebleed.json\n",
            "Starting:  aws-auth-multiple-issues.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-auth-multiple-issues.json\n",
            "Starting:  dataflow-rce-jmx.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/dataflow-rce-jmx.json\n",
            "Starting:  cve-2022-25165.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2022-25165.json\n",
            "Starting:  assumerole-confused-deputy.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/assumerole-confused-deputy.json\n",
            "Starting:  aws-service-catalog-cloudtrail-bypass.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-service-catalog-cloudtrail-bypass.json\n",
            "Starting:  azure-cloudshell-terminal-escape.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/azure-cloudshell-terminal-escape.json\n",
            "Starting:  cve-2022-33675.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2022-33675.json\n",
            "Starting:  cve-2021-42306.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/cve-2021-42306.json\n",
            "Starting:  aws-control-tower-lack-of-cloudtrail-logging.yaml\n",
            "Wrote:  /my_computer/vulnerabilities_json/aws-control-tower-lack-of-cloudtrail-logging.json\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# DuckDB Time!\n",
        "\n",
        "Let's first take a look at a file and see what they look like."
      ],
      "metadata": {
        "id": "4ZH3WtYHM-6V"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!cat /my_computer/vulnerabilities/autowarp.yaml"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qVyULqTkNC9L",
        "outputId": "9db93edc-bcf5-4af0-ea43-a8d908f489c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "title: AutoWarp\r\n",
            "slug: autowarp\r\n",
            "cves: null\r\n",
            "affectedPlatforms:\r\n",
            "- Azure\r\n",
            "affectedServices:\r\n",
            "- Automation Service\r\n",
            "image: https://images.unsplash.com/photo-1651491602333-fea83f1d9107?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=1170&q=80\r\n",
            "severity: Critical\r\n",
            "piercingIndexVector: {version: 1.5, A1: 20, A2: 1.21, A7: 1.1, A8: 1.1}\r\n",
            "discoveredBy:\r\n",
            "  name: Yanir Tsarimi\r\n",
            "  org: Orca Security\r\n",
            "  domain: https://orca.security/\r\n",
            "  twitter: null\r\n",
            "publishedAt: 2022/03/07\r\n",
            "disclosedAt: 2021/12/06\r\n",
            "exploitabilityPeriod: null\r\n",
            "knownITWExploitation: false\r\n",
            "summary: |\r\n",
            "  An exposed endpoint in the Azure Automation Service allowed to steal Azure\r\n",
            "  API credentials from other customers\r\n",
            "manualRemediation: |\r\n",
            "  None required. As a general practice, use the least-privilege\r\n",
            "  principle, including on managed identities assigned to automation accounts. While\r\n",
            "  this would not have prevented the leakage of API credentials, it would have reduced\r\n",
            "  the blast radius.\r\n",
            "detectionMethods: null\r\n",
            "contributor: https://github.com/christophetd\r\n",
            "references:\r\n",
            "- https://orca.security/resources/blog/autowarp-microsoft-azure-automation-service-vulnerability/\r\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Let's fetch a duck!"
      ],
      "metadata": {
        "id": "QtpyMQF5MG-U"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Create and load table\n",
        "\n",
        "Load up a DuckDB instance, and start digging.\n",
        "\n",
        "We are manually defining a schema because while the structure is consistent, the data values are necessarily not. As an example, there are instances where the `knownITWExploitation` field is set to a `STRING` of \"No\" and others where it's a `BOOL` of `false`. The auto detect functions would set this as a `BOOL` and error out when it hit strings. There are other data types like that as well."
      ],
      "metadata": {
        "id": "4Z0E-9mTanRc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import duckdb\n",
        "conn = duckdb.connect()\n",
        "\n",
        "conn.execute(\"\"\"\n",
        "CREATE OR REPLACE TABLE vulns AS (\n",
        "  SELECT * FROM READ_JSON_AUTO('/my_computer/vulnerabilities_json/*.json', columns={\n",
        "    title:  'VARCHAR',\n",
        "    slug:   'VARCHAR',\n",
        "    cves:   'VARCHAR[]',\n",
        "    affectedPlatforms:  'VARCHAR[]',\n",
        "    affectedServices:   'VARCHAR[]',\n",
        "    image:  'VARCHAR',\n",
        "    severity:           'VARCHAR',\n",
        "    discoveredBy:       'STRUCT(name VARCHAR, org VARCHAR, domain VARCHAR, twitter JSON)',\n",
        "    disclosedAt:        'DATE',\n",
        "    publishedAt:        'DATE',\n",
        "    exploitabilityPeriod:   'JSON',\n",
        "    knownITWExploitation:   'VARCHAR',\n",
        "    summary:            'VARCHAR',\n",
        "    manualRemediation:  'VARCHAR',\n",
        "    detectionMethods:   'JSON',\n",
        "    contributor:        'VARCHAR',\n",
        "    \"references\":       'VARCHAR[]',\n",
        "    piercingIndexVector:  'STRUCT(version DOUBLE, A1 BIGINT, A2 DOUBLE, A7 DOUBLE, A8 DOUBLE)'\n",
        "    }, ignore_errors=true\n",
        "                        ));\n",
        "\"\"\")\n",
        "\n",
        "conn.execute(\"\"\"\n",
        "DESCRIBE vulns;\n",
        "\"\"\").fetchdf()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 510
        },
        "id": "JMEI_5MxL42J",
        "outputId": "23a6514b-3243-402b-cac0-f977f046fd15"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             column_name                                        column_type  \\\n",
              "0                  title                                            VARCHAR   \n",
              "1                   slug                                            VARCHAR   \n",
              "2                   cves                                          VARCHAR[]   \n",
              "3      affectedPlatforms                                          VARCHAR[]   \n",
              "4       affectedServices                                          VARCHAR[]   \n",
              "5                  image                                            VARCHAR   \n",
              "6               severity                                            VARCHAR   \n",
              "7           discoveredBy  STRUCT(\"name\" VARCHAR, org VARCHAR, \"domain\" V...   \n",
              "8            disclosedAt                                               DATE   \n",
              "9            publishedAt                                               DATE   \n",
              "10  exploitabilityPeriod                                               JSON   \n",
              "11  knownITWExploitation                                            VARCHAR   \n",
              "12               summary                                            VARCHAR   \n",
              "13     manualRemediation                                            VARCHAR   \n",
              "14      detectionMethods                                               JSON   \n",
              "15           contributor                                            VARCHAR   \n",
              "16            references                                          VARCHAR[]   \n",
              "17   piercingIndexVector  STRUCT(\"version\" DOUBLE, A1 BIGINT, A2 DOUBLE,...   \n",
              "\n",
              "   null  key default  extra  \n",
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              "    <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",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
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              "      <th>column_name</th>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>slug</td>\n",
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              "      <td>VARCHAR</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>6</th>\n",
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              "    <tr>\n",
              "      <th>7</th>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>disclosedAt</td>\n",
              "      <td>DATE</td>\n",
              "      <td>YES</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>publishedAt</td>\n",
              "      <td>DATE</td>\n",
              "      <td>YES</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>exploitabilityPeriod</td>\n",
              "      <td>JSON</td>\n",
              "      <td>YES</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>knownITWExploitation</td>\n",
              "      <td>VARCHAR</td>\n",
              "      <td>YES</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>summary</td>\n",
              "      <td>VARCHAR</td>\n",
              "      <td>YES</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>manualRemediation</td>\n",
              "      <td>VARCHAR</td>\n",
              "      <td>YES</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>detectionMethods</td>\n",
              "      <td>JSON</td>\n",
              "      <td>YES</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
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              "      <td>VARCHAR</td>\n",
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              "      <td>NaN</td>\n",
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              "    <tr>\n",
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              "      <td>references</td>\n",
              "      <td>VARCHAR[]</td>\n",
              "      <td>YES</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
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              "      <td>NaN</td>\n",
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              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d3da0de4-1a53-44e2-8c06-724b77c88450')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-d3da0de4-1a53-44e2-8c06-724b77c88450 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d3da0de4-1a53-44e2-8c06-724b77c88450');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
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              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "  .colab-df-quickchart:hover {\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Verify"
      ],
      "metadata": {
        "id": "PoapMMC8auH_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Let's see the data.\n",
        "\n",
        "conn.execute(\"SELECT * FROM vulns LIMIT 3\").fetchdf()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1856
        },
        "id": "8326e23nxEc2",
        "outputId": "c3eb525e-3413-492f-f84f-dfb7be7621ca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                               title  \\\n",
              "0  AWS uploaded sensitive data to public GitHub b...   \n",
              "1       Dataflow RCE via unauthenticated JMX service   \n",
              "2    Overprivileged CodeBuild default ECR IAM policy   \n",
              "\n",
              "                         slug cves affectedPlatforms  \\\n",
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              "2  aws-codebuild-ecr-iam-vuln  NaN             [AWS]   \n",
              "\n",
              "           affectedServices  \\\n",
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              "\n",
              "                                               image severity  \\\n",
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              "1  https://raw.githubusercontent.com/wiz-sec/open...      Low   \n",
              "2  https://raw.githubusercontent.com/wiz-sec/open...   medium   \n",
              "\n",
              "                                        discoveredBy disclosedAt publishedAt  \\\n",
              "0  {'name': None, 'org': 'Upguard', 'domain': 'ht...  2020-01-23  2020-01-23   \n",
              "1  {'name': 'Mike Brancato', 'org': None, 'domain...  2021-03-05  2021-12-28   \n",
              "2  {'name': 'Will Deane', 'org': 'ASX Consulting'...  2022-07-04  2023-02-25   \n",
              "\n",
              "    exploitabilityPeriod knownITWExploitation  \\\n",
              "0                    NaN                  NaN   \n",
              "1                    NaN                false   \n",
              "2  \"Until July 26, 2022\"                  NaN   \n",
              "\n",
              "                                             summary  \\\n",
              "0  An AWS employee pushed sensitive data to a pub...   \n",
              "1  Dataflow worker nodes ran an unauthenticated J...   \n",
              "2  For AWS CodeBuild, when using a custom contain...   \n",
              "\n",
              "                                   manualRemediation detectionMethods  \\\n",
              "0                                    None required\\n              NaN   \n",
              "1                                    None required\\n              NaN   \n",
              "2  For any CodeBuild projects created before July...              NaN   \n",
              "\n",
              "                     contributor  \\\n",
              "0  https://github.com/0xdabbad00   \n",
              "1   https://github.com/korniko98   \n",
              "2   https://github.com/willdeane   \n",
              "\n",
              "                                          references  \\\n",
              "0  [https://www.upguard.com/breaches/identity-and...   \n",
              "1  [https://mbrancato.github.io/2021/12/28/rce-da...   \n",
              "2  [https://www.asxconsulting.co.uk/blog/codebuild/]   \n",
              "\n",
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              "0                                                NaN  \n",
              "1                                                NaN  \n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-536f4f24-69ff-4952-9724-d20e5fc692a6')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-536f4f24-69ff-4952-9724-d20e5fc692a6 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-536f4f24-69ff-4952-9724-d20e5fc692a6');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-5a7a89c0-f810-4a8b-9681-87d4e1351f4f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5a7a89c0-f810-4a8b-9681-87d4e1351f4f')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-5a7a89c0-f810-4a8b-9681-87d4e1351f4f button');\n",
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              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/881c4a0d49046431/data_table.js\";\n\n      const table = window.createDataTable({\n        data: [[{\n            'v': 0,\n            'f': \"0\",\n        },\n\"AWS uploaded sensitive data to public GitHub bucket\",\n\"aws-data-post\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n[\"AWS\"],\nNaN,\n\"https://images.unsplash.com/photo-1589630388147-68b3a2172e0c?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=2070&q=80\",\nNaN,\n\"{'name': None, 'org': 'Upguard', 'domain': 'https://www.upguard.com/', 'twitter': None}\",\n\"2020-01-23 00:00:00\",\n\"2020-01-23 00:00:00\",\nNaN,\nNaN,\n\"An AWS employee pushed sensitive data to a public github bucket, including customer information and credentials.\\nNote: This issue is outside the scope of this database's usual criteria for inclusion,\\nbut has been kept for historic reasons, as it was included in the original CSP Security Mistakes dataset.\\n\",\n\"None required\\n\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"https://github.com/0xdabbad00\",\n[\"https://www.upguard.com/breaches/identity-and-access-misstep-how-an-amazon-engineer-exposed-credentials-and-more\", \"https://www.theregister.com/2020/01/23/aws_engineer_credentials_github/\", \"https://github.com/SummitRoute/csp_security_mistakes/issues/17\"],\nNaN],\n [{\n            'v': 1,\n            'f': \"1\",\n        },\n\"Dataflow RCE via unauthenticated JMX service\",\n\"dataflow-rce-jmx\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n[\"GCP\"],\n[\"Dataflow\"],\n\"https://raw.githubusercontent.com/wiz-sec/open-cvdb/main/images/dataflow-rce-jmx.jpg\",\n\"Low\",\n\"{'name': 'Mike Brancato', 'org': None, 'domain': 'https://mbrancato.github.io/', 'twitter': '\\\"meatballninja\\\"'}\",\n\"2021-03-05 00:00:00\",\n\"2021-12-28 00:00:00\",\nNaN,\n\"false\",\n\"Dataflow worker nodes ran an unauthenticated Java Management Extensions (JMX) service that under\\ncertain circumstances would be exposed to the Internet, thus allowing unauthenticated remote code\\nexecution (RCE) as root in an unprivileged container. The impact of the vulnerability depended on\\nwhich service account qA assigned to Dataflow worker nodes (by default, that would be the Google\\nCompute Engine default service account, which has the project-wide Editor role assigned).\\n\",\n\"None required\\n\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"https://github.com/korniko98\",\n[\"https://mbrancato.github.io/2021/12/28/rce-dataflow.html\", \"https://portswigger.net/daily-swig/google-showers-top-cloud-security-researchers-with-kudos-and-cash\"],\nNaN],\n [{\n            'v': 2,\n            'f': \"2\",\n        },\n\"Overprivileged CodeBuild default ECR IAM policy\",\n\"aws-codebuild-ecr-iam-vuln\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n[\"AWS\"],\n[\"AWS CodeBuild\", \"AWS ECR\"],\n\"https://raw.githubusercontent.com/wiz-sec/open-cvdb/main/images/aws-codebuild-ecr-iam-vuln.jpg\",\n\"medium\",\n\"{'name': 'Will Deane', 'org': 'ASX Consulting', 'domain': 'asxconsulting.co.uk', 'twitter': None}\",\n\"2022-07-04 00:00:00\",\n\"2023-02-25 00:00:00\",\n\"\\\"Until July 26, 2022\\\"\",\nNaN,\n\"For AWS CodeBuild, when using a custom container image stored in ECR and the \\nproject service role for the credentials to pull the image, the default IAM \\npolicy attached to the role to allow pulling the container was over-privileged \\nand allowed the CodeBuild container to overwrite its own build image. \\nAn attacker with the ability to read the container credentials from the meta-data \\nservice or run commands within the container could thereby overwrite the container to gain \\npersistence within the CodeBuild project.\\n\",\n\"For any CodeBuild projects created before July 26, 2022, which are using a custom container image, \\nupdate those project\\u2019s IAM policies to match the updated policy. \\nPlease refer to the CodeBuild documentation for updating your project\\u2019s IAM policies.\\nhttps://docs.aws.amazon.com/codebuild/latest/userguide/auth-and-access-control-iam-identity-based-access-control.html#ecr-policies\\n\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"https://github.com/willdeane\",\n[\"https://www.asxconsulting.co.uk/blog/codebuild/\"],\n\"{'version': 1.5, 'A1': None, 'A2': None, 'A7': 1.1, 'A8': 1.1}\"]],\n        columns: [[\"number\", \"index\"], [\"string\", \"title\"], [\"string\", \"slug\"], [\"number\", \"cves\"], [\"string\", \"affectedPlatforms\"], [\"string\", \"affectedServices\"], [\"string\", \"image\"], [\"string\", \"severity\"], [\"string\", \"discoveredBy\"], [\"string\", \"disclosedAt\"], [\"string\", \"publishedAt\"], [\"string\", \"exploitabilityPeriod\"], [\"string\", \"knownITWExploitation\"], [\"string\", \"summary\"], [\"string\", \"manualRemediation\"], [\"number\", \"detectionMethods\"], [\"string\", \"contributor\"], [\"string\", \"references\"], [\"string\", \"piercingIndexVector\"]],\n        columnOptions: [{\"width\": \"1px\", \"className\": \"index_column\"}],\n        rowsPerPage: 25,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n\n      function appendQuickchartButton(parentElement) {\n        let quickchartButtonContainerElement = document.createElement('div');\n        quickchartButtonContainerElement.innerHTML = `\n<div id=\"df-ecfb0c83-6f0c-4369-a532-4d9af566332b\">\n  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ecfb0c83-6f0c-4369-a532-4d9af566332b')\"\n            title=\"Suggest charts.\"\n            style=\"display:none;\">\n    \n<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n     width=\"24px\">\n    <g>\n        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n    </g>\n</svg>\n  </button>\n  \n<style>\n  .colab-df-quickchart {\n      --bg-color: #E8F0FE;\n      --fill-color: #1967D2;\n      --hover-bg-color: #E2EBFA;\n      --hover-fill-color: #174EA6;\n      --disabled-fill-color: #AAA;\n      --disabled-bg-color: #DDD;\n  }\n\n  [theme=dark] .colab-df-quickchart {\n      --bg-color: #3B4455;\n      --fill-color: #D2E3FC;\n      --hover-bg-color: #434B5C;\n      --hover-fill-color: #FFFFFF;\n      --disabled-bg-color: #3B4455;\n      --disabled-fill-color: #666;\n  }\n\n  .colab-df-quickchart {\n    background-color: var(--bg-color);\n    border: none;\n    border-radius: 50%;\n    cursor: pointer;\n    display: none;\n    fill: var(--fill-color);\n    height: 32px;\n    padding: 0;\n    width: 32px;\n  }\n\n  .colab-df-quickchart:hover {\n    background-color: var(--hover-bg-color);\n    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n    fill: var(--button-hover-fill-color);\n  }\n\n  .colab-df-quickchart-complete:disabled,\n  .colab-df-quickchart-complete:disabled:hover {\n    background-color: var(--disabled-bg-color);\n    fill: var(--disabled-fill-color);\n    box-shadow: none;\n  }\n\n  .colab-df-spinner {\n    border: 2px solid var(--fill-color);\n    border-color: transparent;\n    border-bottom-color: var(--fill-color);\n    animation:\n      spin 1s steps(1) infinite;\n  }\n\n  @keyframes spin {\n    0% {\n      border-color: transparent;\n      border-bottom-color: var(--fill-color);\n      border-left-color: var(--fill-color);\n    }\n    20% {\n      border-color: transparent;\n      border-left-color: var(--fill-color);\n      border-top-color: var(--fill-color);\n    }\n    30% {\n      border-color: transparent;\n      border-left-color: var(--fill-color);\n      border-top-color: var(--fill-color);\n      border-right-color: var(--fill-color);\n    }\n    40% {\n      border-color: transparent;\n      border-right-color: var(--fill-color);\n      border-top-color: var(--fill-color);\n    }\n  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}\n    (() => {\n      let quickchartButtonEl =\n        document.querySelector('#df-ecfb0c83-6f0c-4369-a532-4d9af566332b button');\n      quickchartButtonEl.style.display =\n        google.colab.kernel.accessAllowed ? 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          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Quick verification to see if the previous YAML (autowarp) we looked at matches.\n",
        "\n",
        "conn.execute(\"\"\"\n",
        "SELECT * FROM vulns\n",
        "WHERE title = 'AutoWarp';\n",
        "\"\"\").fetchdf()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "id": "rKes7coANsBm",
        "outputId": "ed6ee998-3f9a-46ec-9d87-97ffa8eb5ec3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      title      slug cves affectedPlatforms      affectedServices  \\\n",
              "0  AutoWarp  autowarp  NaN           [Azure]  [Automation Service]   \n",
              "\n",
              "                                               image  severity  \\\n",
              "0  https://images.unsplash.com/photo-165149160233...  Critical   \n",
              "\n",
              "                                        discoveredBy disclosedAt publishedAt  \\\n",
              "0  {'name': 'Yanir Tsarimi', 'org': 'Orca Securit...  2021-12-06  2022-03-07   \n",
              "\n",
              "  exploitabilityPeriod knownITWExploitation  \\\n",
              "0                  NaN                false   \n",
              "\n",
              "                                             summary  \\\n",
              "0  An exposed endpoint in the Azure Automation Se...   \n",
              "\n",
              "                                   manualRemediation detectionMethods  \\\n",
              "0  None required. As a general practice, use the ...              NaN   \n",
              "\n",
              "                       contributor  \\\n",
              "0  https://github.com/christophetd   \n",
              "\n",
              "                                          references  \\\n",
              "0  [https://orca.security/resources/blog/autowarp...   \n",
              "\n",
              "                                 piercingIndexVector  \n",
              "0  {'version': 1.5, 'A1': 20, 'A2': 1.21, 'A7': 1...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-eb5fa02c-1c28-4cc8-9424-1579a2c1cdee\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>slug</th>\n",
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              "      <th>affectedPlatforms</th>\n",
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              "      <th>severity</th>\n",
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              "      <th>disclosedAt</th>\n",
              "      <th>publishedAt</th>\n",
              "      <th>exploitabilityPeriod</th>\n",
              "      <th>knownITWExploitation</th>\n",
              "      <th>summary</th>\n",
              "      <th>manualRemediation</th>\n",
              "      <th>detectionMethods</th>\n",
              "      <th>contributor</th>\n",
              "      <th>references</th>\n",
              "      <th>piercingIndexVector</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AutoWarp</td>\n",
              "      <td>autowarp</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[Azure]</td>\n",
              "      <td>[Automation Service]</td>\n",
              "      <td>https://images.unsplash.com/photo-165149160233...</td>\n",
              "      <td>Critical</td>\n",
              "      <td>{'name': 'Yanir Tsarimi', 'org': 'Orca Securit...</td>\n",
              "      <td>2021-12-06</td>\n",
              "      <td>2022-03-07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>false</td>\n",
              "      <td>An exposed endpoint in the Azure Automation Se...</td>\n",
              "      <td>None required. As a general practice, use the ...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://github.com/christophetd</td>\n",
              "      <td>[https://orca.security/resources/blog/autowarp...</td>\n",
              "      <td>{'version': 1.5, 'A1': 20, 'A2': 1.21, 'A7': 1...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-eb5fa02c-1c28-4cc8-9424-1579a2c1cdee')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-eb5fa02c-1c28-4cc8-9424-1579a2c1cdee button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-eb5fa02c-1c28-4cc8-9424-1579a2c1cdee');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/881c4a0d49046431/data_table.js\";\n\n      const table = window.createDataTable({\n        data: [[{\n            'v': 0,\n            'f': \"0\",\n        },\n\"AutoWarp\",\n\"autowarp\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n[\"Azure\"],\n[\"Automation Service\"],\n\"https://images.unsplash.com/photo-1651491602333-fea83f1d9107?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=1170&q=80\",\n\"Critical\",\n\"{'name': 'Yanir Tsarimi', 'org': 'Orca Security', 'domain': 'https://orca.security/', 'twitter': None}\",\n\"2021-12-06 00:00:00\",\n\"2022-03-07 00:00:00\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"false\",\n\"An exposed endpoint in the Azure Automation Service allowed to steal Azure\\nAPI credentials from other customers\\n\",\n\"None required. As a general practice, use the least-privilege\\nprinciple, including on managed identities assigned to automation accounts. While\\nthis would not have prevented the leakage of API credentials, it would have reduced\\nthe blast radius.\\n\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"https://github.com/christophetd\",\n[\"https://orca.security/resources/blog/autowarp-microsoft-azure-automation-service-vulnerability/\"],\n\"{'version': 1.5, 'A1': 20, 'A2': 1.21, 'A7': 1.1, 'A8': 1.1}\"]],\n        columns: [[\"number\", \"index\"], [\"string\", \"title\"], [\"string\", \"slug\"], [\"number\", \"cves\"], [\"string\", \"affectedPlatforms\"], [\"string\", \"affectedServices\"], [\"string\", \"image\"], [\"string\", \"severity\"], [\"string\", \"discoveredBy\"], [\"string\", \"disclosedAt\"], [\"string\", \"publishedAt\"], [\"number\", \"exploitabilityPeriod\"], [\"string\", \"knownITWExploitation\"], [\"string\", \"summary\"], [\"string\", \"manualRemediation\"], [\"number\", \"detectionMethods\"], [\"string\", \"contributor\"], [\"string\", \"references\"], [\"string\", \"piercingIndexVector\"]],\n        columnOptions: [{\"width\": \"1px\", \"className\": \"index_column\"}],\n        rowsPerPage: 25,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n\n      function appendQuickchartButton(parentElement) {\n        let quickchartButtonContainerElement = document.createElement('div');\n        quickchartButtonContainerElement.innerHTML = `\n<div id=\"df-431cb2fe-25a3-4494-9f66-76402137c04c\">\n  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-431cb2fe-25a3-4494-9f66-76402137c04c')\"\n            title=\"Suggest charts.\"\n            style=\"display:none;\">\n    \n<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n     width=\"24px\">\n    <g>\n        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n    </g>\n</svg>\n  </button>\n  \n<style>\n  .colab-df-quickchart {\n      --bg-color: #E8F0FE;\n      --fill-color: #1967D2;\n      --hover-bg-color: #E2EBFA;\n      --hover-fill-color: #174EA6;\n      --disabled-fill-color: #AAA;\n      --disabled-bg-color: #DDD;\n  }\n\n  [theme=dark] .colab-df-quickchart {\n      --bg-color: #3B4455;\n      --fill-color: #D2E3FC;\n      --hover-bg-color: #434B5C;\n      --hover-fill-color: #FFFFFF;\n      --disabled-bg-color: #3B4455;\n      --disabled-fill-color: #666;\n  }\n\n  .colab-df-quickchart {\n    background-color: var(--bg-color);\n    border: none;\n    border-radius: 50%;\n    cursor: pointer;\n    display: none;\n    fill: var(--fill-color);\n    height: 32px;\n    padding: 0;\n    width: 32px;\n  }\n\n  .colab-df-quickchart:hover {\n    background-color: var(--hover-bg-color);\n    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n    fill: var(--button-hover-fill-color);\n  }\n\n  .colab-df-quickchart-complete:disabled,\n  .colab-df-quickchart-complete:disabled:hover {\n    background-color: var(--disabled-bg-color);\n    fill: var(--disabled-fill-color);\n    box-shadow: none;\n  }\n\n  .colab-df-spinner {\n    border: 2px solid var(--fill-color);\n    border-color: transparent;\n    border-bottom-color: var(--fill-color);\n    animation:\n      spin 1s steps(1) infinite;\n  }\n\n  @keyframes spin {\n    0% {\n      border-color: transparent;\n      border-bottom-color: var(--fill-color);\n      border-left-color: var(--fill-color);\n    }\n    20% {\n      border-color: transparent;\n      border-left-color: var(--fill-color);\n      border-top-color: var(--fill-color);\n    }\n    30% {\n      border-color: transparent;\n      border-left-color: var(--fill-color);\n      border-top-color: var(--fill-color);\n      border-right-color: var(--fill-color);\n    }\n    40% {\n      border-color: transparent;\n      border-right-color: var(--fill-color);\n      border-top-color: var(--fill-color);\n    }\n    60% {\n      border-color: transparent;\n      border-right-color: var(--fill-color);\n    }\n    80% {\n      border-color: transparent;\n      border-right-color: var(--fill-color);\n      border-bottom-color: var(--fill-color);\n    }\n    90% {\n      border-color: transparent;\n      border-bottom-color: var(--fill-color);\n    }\n  }\n</style>\n\n  <script>\n    async function quickchart(key) {\n      const quickchartButtonEl =\n        document.querySelector('#' + key + ' button');\n      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n      quickchartButtonEl.classList.add('colab-df-spinner');\n      try {\n        const charts = await google.colab.kernel.invokeFunction(\n            'suggestCharts', [key], {});\n      } catch (error) {\n        console.error('Error during call to suggestCharts:', error);\n      }\n      quickchartButtonEl.classList.remove('colab-df-spinner');\n      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n    }\n    (() => {\n      let quickchartButtonEl =\n        document.querySelector('#df-431cb2fe-25a3-4494-9f66-76402137c04c button');\n      quickchartButtonEl.style.display =\n        google.colab.kernel.accessAllowed ? 'block' : 'none';\n    })();\n  </script>\n</div>`;\n        parentElement.appendChild(quickchartButtonContainerElement);\n      }\n\n      appendQuickchartButton(table);\n    "
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Analysis Time!\n",
        "\n",
        "It looks like it works! Let's ask some questions.\n",
        "\n"
      ],
      "metadata": {
        "id": "7Hynb0YXSkZK"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## How many vulnerabilities were disclosed per month?"
      ],
      "metadata": {
        "id": "xNeC2C_mYZsQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# How many vulnerabilities were disclosed per month?\n",
        "\n",
        "results=conn.execute(\"\"\"\n",
        "SELECT\n",
        "  count(*) AS disclosure_count,\n",
        "  STRFTIME(DATE_TRUNC('month',disclosedAt),'%B %Y') AS month,\n",
        "  DATE_TRUNC('month', disclosedAt) AS month_datetime\n",
        "  FROM vulns\n",
        "  GROUP BY month_datetime\n",
        "  ORDER BY month_datetime asc;\n",
        "\"\"\").fetchdf()\n",
        "\n",
        "results.plot(x=\"month\", y=\"disclosure_count\", kind=\"bar\", figsize=(10, 5))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 584
        },
        "id": "JrmDX17_SoBI",
        "outputId": "23999129-5fb6-4579-803f-af5de73ca43e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='month'>"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Are there really disclosures with no disclosure times?\n",
        "\n",
        "At the time of writing, we are finding that there are entires of `nan` on our histogram. Which makes us wonder, are there really disclosures that don't have time associated with them?\n",
        "\n",
        "![Screenshot 2023-09-29 2.17.52 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)\n",
        "\n",
        "Let's see what the data actually looks like."
      ],
      "metadata": {
        "id": "NpXTrXqCYEyQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "conn.execute(\"SELECT * FROM vulns WHERE disclosedat IS NULL\").fetchdf()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1859
        },
        "id": "lkBYxNNIQRMQ",
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              "                                               title  \\\n",
              "0            Signature version 1 (SigV1) is insecure   \n",
              "1                         AWS Java SDK XXE injection   \n",
              "2      GCP Default compute account is project Editor   \n",
              "3  Azure App Service on Azure Stack Hub privilege...   \n",
              "4                   GCP Cloudshell XSS and CSRF bugs   \n",
              "5                    SSRF in Google Cloud Monitoring   \n",
              "6                                          Bad.Build   \n",
              "\n",
              "                              slug cves affectedPlatforms  \\\n",
              "0               aws-sigv1-insecure  NaN             [AWS]   \n",
              "1                 aws-java-sdk-xxe  NaN             [AWS]   \n",
              "2      gcp-default-compute-account  NaN             [GCP]   \n",
              "3                   cve-2023-21777  NaN           [Azure]   \n",
              "4          gcp-cloudshell-xss-csrf  NaN             [GCP]   \n",
              "5  ssrf-in-google-cloud-monitoring  NaN             [GCP]   \n",
              "6                         badbuild  NaN             [GCP]   \n",
              "\n",
              "                         affectedServices  \\\n",
              "0                                     NaN   \n",
              "1                              [Java SDK]   \n",
              "2                                     NaN   \n",
              "3  [Azure App Service on Azure Stack Hub]   \n",
              "4                        [GCP Cloudshell]   \n",
              "5               [Google Cloud Monitoring]   \n",
              "6                           [Cloud Build]   \n",
              "\n",
              "                                               image severity  \\\n",
              "0  https://c4.wallpaperflare.com/wallpaper/600/33...   Medium   \n",
              "1  https://raw.githubusercontent.com/wiz-sec/open...      Low   \n",
              "2  https://assets.website-files.com/6207f5adfd8e6...   Medium   \n",
              "3  https://raw.githubusercontent.com/wiz-sec/open...   Medium   \n",
              "4  https://raw.githubusercontent.com/wiz-sec/open...   Medium   \n",
              "5  https://images.unsplash.com/photo-159085602982...   Medium   \n",
              "6  https://raw.githubusercontent.com/wiz-sec/open...      Low   \n",
              "\n",
              "                                        discoveredBy disclosedAt publishedAt  \\\n",
              "0  {'name': 'Colin Percival', 'org': None, 'domai...         NaT  2008-12-18   \n",
              "1  {'name': 'Alex Brasetvik', 'org': None, 'domai...         NaT  2017-10-10   \n",
              "2                                                NaN         NaT  2020-11-22   \n",
              "3  {'name': 'Ruslan Sayfiev, Denis Faiustov', 'or...         NaT  2023-02-14   \n",
              "4  {'name': 'Obmi', 'org': None, 'domain': 'https...         NaT  2019-12-15   \n",
              "5  {'name': 'David Nechuta', 'org': None, 'domain...         NaT  2020-11-12   \n",
              "6  {'name': 'Roi Nisimi', 'org': 'Orca Security',...         NaT  2023-07-18   \n",
              "\n",
              "          exploitabilityPeriod knownITWExploitation  \\\n",
              "0  \"until December 18th, 2008\"                false   \n",
              "1                          NaN                false   \n",
              "2  \"Since the creation of GCP\"                false   \n",
              "3                          NaN                false   \n",
              "4                          NaN                false   \n",
              "5                          NaN                  NaN   \n",
              "6                          NaN                false   \n",
              "\n",
              "                                             summary  \\\n",
              "0  When making authenticated API requests to AWS,...   \n",
              "1  The AWS Java SDK was vulnerable to XML externa...   \n",
              "2  When the compute API is enabled on a GCP Proje...   \n",
              "3  A privilege escalation vulnerability was disco...   \n",
              "4  GCP Cloudshell has been affected by various XS...   \n",
              "5  An SSRF bug in Google Cloud Monitoring's uptim...   \n",
              "6  An information disclosure vulnerability in the...   \n",
              "\n",
              "                                   manualRemediation detectionMethods  \\\n",
              "0  None required, SigV1 is deprecated at this poi...              NaN   \n",
              "1                                    None required\\n              NaN   \n",
              "2  Remove these permissions, it can be done via a...              NaN   \n",
              "3  Users of Azure App Service on Azure Stack Hub ...              NaN   \n",
              "4                                             null\\n              NaN   \n",
              "5                                    None required\\n              NaN   \n",
              "6                                    None required\\n              NaN   \n",
              "\n",
              "                       contributor  \\\n",
              "0       https://github.com/ramimac   \n",
              "1     https://github.com/korniko98   \n",
              "2  https://github.com/louisdurufle   \n",
              "3         https://github.com/mer-b   \n",
              "4         https://github.com/mer-b   \n",
              "5    https://github.com/0xdabbad00   \n",
              "6     https://github.com/korniko98   \n",
              "\n",
              "                                          references piercingIndexVector  \n",
              "0  [http://www.daemonology.net/blog/2008-12-18-AW...                 NaN  \n",
              "1  [https://github.com/aws/aws-sdk-java/commit/08...                 NaN  \n",
              "2  [https://cloud.google.com/resource-manager/doc...                 NaN  \n",
              "3  [https://msrc.microsoft.com/update-guide/en-US...                 NaN  \n",
              "4  [https://obmiblog.blogspot.com/2022/12/gcp-202...                 NaN  \n",
              "5  [https://nechudav.blogspot.com/2020/11/31k-ssr...                 NaN  \n",
              "6  [https://cloud.google.com/build/docs/security-...                 NaN  "
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              "      <td>Signature version 1 (SigV1) is insecure</td>\n",
              "      <td>aws-sigv1-insecure</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[AWS]</td>\n",
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              "      <td>AWS Java SDK XXE injection</td>\n",
              "      <td>aws-java-sdk-xxe</td>\n",
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              "      <td>[AWS]</td>\n",
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              "      <td>https://github.com/korniko98</td>\n",
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              "      <td>NaN</td>\n",
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              "      <th>2</th>\n",
              "      <td>GCP Default compute account is project Editor</td>\n",
              "      <td>gcp-default-compute-account</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[GCP]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://assets.website-files.com/6207f5adfd8e6...</td>\n",
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              "      <td>NaT</td>\n",
              "      <td>2020-11-22</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>https://github.com/louisdurufle</td>\n",
              "      <td>[https://cloud.google.com/resource-manager/doc...</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>Azure App Service on Azure Stack Hub privilege...</td>\n",
              "      <td>cve-2023-21777</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[Azure]</td>\n",
              "      <td>[Azure App Service on Azure Stack Hub]</td>\n",
              "      <td>https://raw.githubusercontent.com/wiz-sec/open...</td>\n",
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              "      <th>4</th>\n",
              "      <td>GCP Cloudshell XSS and CSRF bugs</td>\n",
              "      <td>gcp-cloudshell-xss-csrf</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[GCP]</td>\n",
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              "      <td>2019-12-15</td>\n",
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              "      <th>5</th>\n",
              "      <td>SSRF in Google Cloud Monitoring</td>\n",
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A person-in-the-middle attack would be able to modify signed requests\\nvia specially constructed collisions.\\n\",\n\"None required, SigV1 is deprecated at this point\\n\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"https://github.com/ramimac\",\n[\"http://www.daemonology.net/blog/2008-12-18-AWS-signature-version-1-is-insecure.html\"],\n{\n            'v': NaN,\n            'f': \"NaN\",\n        }],\n [{\n            'v': 1,\n            'f': \"1\",\n        },\n\"AWS Java SDK XXE injection\",\n\"aws-java-sdk-xxe\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n[\"AWS\"],\n[\"Java SDK\"],\n\"https://raw.githubusercontent.com/wiz-sec/open-cvdb/main/images/aws-java-sdk-xxe.jpg\",\n\"Low\",\n\"{'name': 'Alex Brasetvik', 'org': None, 'domain': None, 'twitter': '\\\"alexbrasetvik\\\"'}\",\n\"NaT\",\n\"2017-10-10 00:00:00\",\nNaN,\n\"false\",\n\"The AWS Java SDK was vulnerable to XML external entity (XXE) injection related to XML parsers.\\n\",\n\"None required\\n\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"https://github.com/korniko98\",\n[\"https://github.com/aws/aws-sdk-java/commit/080a0037395f8b1e8e81b59c9d2c3a3d7624c8ac#diff-4ac32a78649ca5bdd8e0ba38b7006a1eR8\", \"https://twitter.com/alexbrasetvik/status/1293088161363525633\"],\n{\n            'v': NaN,\n            'f': \"NaN\",\n        }],\n [{\n            'v': 2,\n            'f': \"2\",\n        },\n\"GCP Default compute account is project Editor\",\n\"gcp-default-compute-account\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n[\"GCP\"],\nNaN,\n\"https://assets.website-files.com/6207f5adfd8e615d3d70498b/6239e2f458c48918ab0602dd_GCP%20-%20comp%20blue.png\",\n\"Medium\",\nNaN,\n\"NaT\",\n\"2020-11-22 00:00:00\",\n\"\\\"Since the creation of GCP\\\"\",\n\"false\",\n\"When the compute API is enabled on a GCP Project, the default compute account\\nis created. This account gets the primitive role Editor assigned by default, which\\nallows for a wide variety of privilege excalation and resource abuse in the project.\\nEspecially, all new VMs created inherit this permissions by default. 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          "metadata": {},
          "execution_count": 9
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    {
      "cell_type": "markdown",
      "source": [
        "Here we find that there are indeed instances where that is the case. On a side note, we also see that the `exploitabilityPeriod` field is also very much free form, which can make analysis of it somewhat of a challenge.\n",
        "\n",
        "![Screenshot 2023-09-29 2.25.59 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)"
      ],
      "metadata": {
        "id": "Dk1G2IKdaCGF"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## How many vulnerabilities were published per month?\n",
        "\n",
        "After chatting with a friend who knows security things more than I do, it looks like the publish date is going to be the one we really want to look at, and the data itself should be more complete. Let's try this one."
      ],
      "metadata": {
        "id": "f5h6xpxSTpyo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# How many vulnerabilities were published per month?\n",
        "\n",
        "results=conn.execute(\"\"\"\n",
        "SELECT\n",
        "  count(*) AS publish_count,\n",
        "  STRFTIME(DATE_TRUNC('month',publishedAt),'%B %Y') AS month,\n",
        "  DATE_TRUNC('month', publishedAt) AS month_datetime\n",
        "  FROM vulns\n",
        "  GROUP BY month_datetime\n",
        "  ORDER BY month_datetime asc;\n",
        "\"\"\").fetchdf()\n",
        "\n",
        "results.plot(x=\"month\", y=\"publish_count\", kind=\"bar\", figsize=(10, 5))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 584
        },
        "id": "QvPAlXnBT6KY",
        "outputId": "b0c08870-5481-4a9e-a3c1-c1ba49621aba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='month'>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## What cloud platforms have the most vulnerabilities?"
      ],
      "metadata": {
        "id": "8RM4gLFQaTMZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "results=conn.execute(\"\"\"\n",
        "  WITH unnested_platforms AS (\n",
        "    SELECT UNNEST(affectedPlatforms) AS cloud_platform\n",
        "    FROM vulns)\n",
        "  SELECT count(*) AS count, cloud_platform FROM unnested_platforms\n",
        "  GROUP BY cloud_platform\n",
        "\"\"\").fetchdf()\n",
        "\n",
        "results.groupby(['cloud_platform']).sum().plot.pie(y=\"count\", legend=None)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "SmQ8ndyaa-TR",
        "outputId": "de416426-f86d-48a1-a237-553ef2853b16"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: ylabel='count'>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## What services have the most vulnerabilities?\n",
        "\n",
        "Let's do the same thing with the services."
      ],
      "metadata": {
        "id": "pA60KAiEV10i"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "results=conn.execute(\"\"\"\n",
        "  WITH unnested_services AS (\n",
        "    SELECT UNNEST(affectedServices) AS services\n",
        "    FROM vulns)\n",
        "  SELECT count(*) AS count, services FROM unnested_services\n",
        "  GROUP BY services\n",
        "  ORDER BY services ASC\n",
        "\"\"\").fetchdf()\n",
        "\n",
        "results.groupby(['services']).sum().plot.bar(y=\"count\", figsize=(18, 4))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 360
        },
        "id": "KS59w7GzVevX",
        "outputId": "35ccb2bf-5582-4533-b047-0a105d8761ed"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='services'>"
            ]
          },
          "metadata": {},
          "execution_count": 28
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x400 with 1 Axes>"
            ],
            "image/png": 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cOFPAULUu6MXExBgPLadPn1Z/f3+b9BEREbpjxw5VvR8kTb75Hj161O5vljI/qSd7+TF7nVBVzZ49u1ExVaRIEf3+++9V9X5Bzd5x6uw+pxd08vT01I8//thm/WbPG7O/gdnzOFOmTLp//35VVa1evbpRc3/ixAmr9bdo0cIIlKXlzp07On78eKueKmaPi5CQECN9Stu2bdOgoCBVVc2aNav27dvXyLs9t27d0pkzZ2rVqlV1xIgRDtOdP39ehwwZon5+furt7a3NmjUz7t2q9x9yOnfubNVC7d69e9q1a1d95513bNaXsmIt9W/gaH/t9ShbsmSJhoSEWM1z9b7fvHlzDQ4O1uzZs2u9evXSbf2dWnrlhE6dOumHH35os9yAAQPstsDNly+fwymtVrX2PKxWoGaDqc4ELlM/XKY1pebsue9KUN7VyjUzlQqu3DOLFStmN/id/OySmtkKzuDgYOMeWrduXeN3PXXqlN1nlrJly2pQUJD6+vpqkSJFHLYwzZMnj9FQ4NChQ2qxWKzO6VWrVmnOnDnT3HdnnlmCgoJ0586daa7HGemdM3Xr1tXAwED19fXVp556Sj/44ANdvny5VQvalM6cOaNPPfWUWiwW435ssVi0evXqVi3EkjVo0MBuz7/x48fb7eFjpvWb2Xus6v0einXq1NGYmBib3mUXL160uiaZLWsmV5wmO3/+vGbKlElLlChhVI4m3xOTTZ48Wbt3764zZsxQVdX33nvPKPvUrVvX6AWd3v0gLi5OLRaL3X12ljPbsHcsmakkGD16tL7wwgtWFRNXrlzRl156SceMGaM3b97UZs2aGYGlB5FcMd2kSRP19vbWEiVK6MiRI60a87gSlPP19TWO9S5duhjH5fHjx62Ou6NHj2r27Nn1rbfeUlXVtWvXalBQkL722msO89ygQQOrmMeePXvUy8tLO3furCNHjtRs2bLpwIEDrZZx9Vpx7949HTFihFaqVEkjIyPtlrNd7X1u9vqb0smTJ3XAgAGaN29eDQkJ0VdeecUozyczU9Z0pSI7ICDApThLSp9//rnRGzoiIkI/+ugjI9gdGBho03g0LcOHD7cqdyUlJWn9+vWNYzYyMtIotzdr1kybNm2qe/bs0V69emlUVJQ2a9ZMExIS9M6dO9qkSRNt3bq11fo9PT01b968OnDgQN22bZvu2rXL7pTa6dOnNU+ePPr2229r4cKF9ZVXXnHYw6N27dpG746U5syZY8RLpk2bpkWLFlVV554PUjJzzKUu86WcevXqpf7+/navdc5UTKUUFhZm/M5jx4410ixbtsx0+TfZIxGc7tevn5YvX95urfetW7e0fPnydluzOKtAgQJGS1F7fvjhhzS/4OShCnLlymU3yF2hQgV9//33NSkpSSdPnqz+/v46evRo4+8TJ060W1BN7ezZszpw4ED19fXVwMBA9fT01KeeesrqITswMNBhLYy9B8moqCij1jHlTfrzzz+3Kqx6enpatXb19/dP80E62YYNG7Rz584aEhKilSpV0vHjx9ttSeDh4WF1Mw0ODna6u6Xq/YfNOXPmaIMGDdTT01OrV6+ukydP1sGDB2tkZKQWLVo0zdrE1q1bO/VA6EyB22wteMqhM1L+Brt27bJ5mFd1vjCZXg2qo3129pgoUaKELl682OF3tXjxYi1RooTxOTg4OM0blb0AW2xsrE6ZMkUtFouOHTvW6nucOXOmbtiwwe668ufPr8uXL7fZh6lTp2pUVJRNerO/QWhoqN3A6qFDh+zWdhYuXFjnzJmjN27c0IiICCNYtGvXLrvB7E8//VTDw8N18uTJevLkST158qROmjRJw8PDdejQoTbp8+XLZ6qbu9n0qtYFpZTf0a+//ppuK4G//vpLhw8frkWLFtXAwEBt27at1qlTR728vNJtuebowdNscKRUqVI6duxYPX36tIaEhBjHzrZt2+y2wn311Ve1fPny2qlTJw0ICDAeoBYtWmR1XLvKldYy3bp107x582rdunU1PDzcaHk0a9Ysu8MNOLvPq1at0pUrV6rFYtH58+dbfY8bNmxw2HXP7Hlj9jcwex43adJE69evr4MHD1Zvb29jKJlly5Zp4cKF7e6DWWaPi8aNG2tMTIxNMPjFF1/UBg0aqKqaHqLMUfrNmzfr66+/rmFhYUb3wU6dOqm/v7/26dNHVe9XrNm7Dh88eFAzZ85sMz8oKMi41qX8DbZu3Wo3fUREhN1ryx9//GHT2sdisejKlSuNFtaBgYG6ZMkS43PylJqzDQ9SS6+c0LJlS1W9/8Bg7/p++PBhu8e1GakDoKmnfv36PZTgtNlgqrOBS1eZPffNcLVyzUylgiv3TB8fH4flcXuVa2YrOJ955hlt27atTps2Tb29vY1trVq1ym5vJmdbmHp5eVkNw+Xn52d1Pvz11192W6Knlt4zS1RUlN0Hc7OcqdC5e/eurlu3TocOHar169fX4OBg9fHx0erVq9ukrV+/vlapUsXqOnnw4EGNjo7W+vXr26TPlCmT3WPjwIEDdq+RZlq/mb3Hjh07VgMCArRbt27aunVr9fHxsSozpg6+ulLWTFm+GjFihBYsWNBoNTlixAitUqWK8ffk4QHr1q2rmTNn1tdff12zZcumw4cP1//+97+aK1cuo0eNq4FjM1zdhplKghw5cth9Pt63b5/myJFDVe8Pe5EpUyaXhkiy586dOzpq1CgjUOjr66tt2rQxzlWzQbk8efLosmXL9N69e5o7d2796aefjH1I3Utv9+7dmilTJqNXVpcuXdLMa7Zs2ax6Irz//vtW5+H3339vU75z9Vrx0Ucfafbs2fWzzz5TPz8/HTJkiHbq1EnDw8ONCkhnWq/bK5ebvf7Gx8frrFmztE6dOurn56eNGzdWT09Pq14UKf3TzyDPP/+83UBqeuLi4vTTTz/VqKgoDQgI0FatWunvv/+u06ZN0xIlShhDDNaqVcsovzujXLlyVj0Dv//+e/X399d169bp//73P23UqJHGxMSo6v1yZnJlxY0bN9RisViNYrB+/XrNkyeP1frPnTtnPIdGRkZqnz59nL6nHzp0SLNmzaqtWrVKs7Fj6ntlssOHDxuV8MePHzf+78zzQUpmj7nU/ve//2mvXr3U19dXa9SoYXfkA2crppKl7LHapEkTo+LJmUoaRx6J4HS5cuXSPIFSP5jfu3dPd+/ebbdW/ObNm7p7926r5vjdu3fXkiVLOgx+lyxZUnv06KGqjgN+uXLl0qZNm9rtPhEUFGQURBITE23G9kvdqiulhIQEnTt3rjZs2FC9vLy0atWq+s033+iNGzf0xIkT2qpVK6uLeJ48efSzzz6zWc9nn31mc6Kq3u9emTNnTp09e7YGBgbqrFmz9OOPPzb+nyx18DgoKMhU8PjmzZsaGxurlSpV0sDAQJsbrsVi0VKlShkPQp6enlqiRIl0H5BSBosjIiK0T58+NkOq7N271+luss5wppLAjKefflo///xzVbX+Xrt37263IOxsYdLZFkipOXtMBAcHpzk+4vHjx61q/tKrpT127JgGBATY/duqVatMDQUxdOhQLV68uG7atEmDg4N17dq1OmPGDI2IiDC+65TM/gbdu3e32624T58+dltyjxs3Tr28vDQsLMzozqx6P+Bv7zdISkrSfv36GWPhenh4aEBAgMMuMtOnT9eXXnrJ6e5ZZtOr3m9N2Lx5c01ISDC+o1OnTmm5cuXsjnWVkJCg8+bN00aNGqm3t7dWqFDBpnJq/vz56unpmeZ4gUWLFn0owZq5c+eqt7e30Von2dChQ+0WAi5fvqzdunXTpk2b6i+//GLMHzBggN1AR0r/xBiAqve/0xEjRuhbb71lVVAfNWqU3fHOU+5zyjGpHe3zyZMn7XZVc8TseWP2NzB7Hp86dUobNWqkpUuXNrqlqd5/D0TyPfxBmT0u9u/fr+Hh4VqwYEEjeFqwYEGNiIgwNaSLqtq9Bp4/f14/++wzY/z7F198UX/55RerAnRyay/V+60c7HWDXbhwod2hYRo2bGi0Zkn+jRMTEzUmJsbumHuDBg3Sli1bWnXLvXPnjrZq1cqmi3Vy0M1RMO5hjU3obDkhuSAdGRmpU6ZMsVnPlClTNGvWrA6348x4pGkFRFNODzJOePJ2zARTnQlcpiw7p65ASK9Cwey1yAxXK9fMcOWeWbBgQZ0wYYLN/PHjx2uhQoUeOE+7d+/WkiVLakhIiNW51b17d6OixRUPEiQ088yybNkyrVevXrrjbKc3vrCZMsKhQ4d0woQJ+tJLL6mXl5fDnm6OWrPZe1YLCAiwG2Das2eP3fRmWr+ZvccWL17camiN9evXGy0aVW1/O7NlzZQ9K1Xv3x+Sh3tTvf/9pgzIFypUyOhluHXrVvXw8LB6z8rPP/9sPJuaOe5cbe3q6rFtppLAUff3lStXGs9EFotFRcSlIZJS2rp1q77xxhuaKVMmzZUrl37wwQd6/PhxXbNmjdapU0crVarkUlBu4MCBGhoaqsWKFdM8efIY9/NJkyZp1apVVdX6HQQ///yz+vr66iuvvKJXrlxJM7ju6+trNURm9erVrcpOJ06csGk16uy1IrUCBQoYgfWUsZixY8c+0DVS1dz1N7n8UbVqVf3yyy+NQLOXl5fDhn4P8gzijG+//Vbz5MmjAwcO1Hnz5qXbU+eHH37Qxo0bq7e3t5YpU0a/+OILvXz5slWao0ePqre3t/H/unXramxsrG7bti3dMkJYWJjVcdm+fXurIWM2btxoVN6l7Imlav3bqt5v7ZxWj961a9dqx44dNTg4WKtUqaJff/21UbZxdG3x9fXVkJCQNHu4Fi5c2OgZndK7776rRYoUUdX752xyJZXZ5wNX7/m3bt0yhhQpU6aMwyFUVc1VTKmqVq5cWd99911ds2aN+vn5GRVdGzduTLeHlSMWVSdeuf4vCwsLk23btkmhQoXs/v3o0aNSsWJFuXLlioiIxMbGypdffimbN28WT09Pq7T37t2TqlWrSq9evaR169Yicv+tm+XLlxdPT0/p3r27FC1aVEREDh48KOPGjZPExETZsWOHREZGyjPPPONUni0Wi/z+++8iIuLh4SFxcXGSNWtWEREJDg6W3bt3S4ECBYzt58iRQxITE63W0aNHD5k1a5aoqrRp00Y6d+4sJUuWtEoTFxcnOXLkMN6eHRsbK507d5aGDRtKlSpVRERk8+bNsnTpUvnmm2+kffv2Nnn97rvv5D//+Y8cO3ZMRERy5MghgwYNkk6dOhlpPDw8pGTJkuLl5SUiInv27JFixYqJj4+P1bp27Nhh9/tYt26dTJ48WebOnSslSpSQlStXir+/v/H3QYMGpfFt/r+BAwdaffb09JRnn31WOnXqJM2bNxdvb2+bZW7evCndu3eXKVOmOLUNe+7evSuLFi2SyZMny/Lly6VixYrSqVMnadmypVy8eFE+/PBD2bFjh/zxxx8iInLs2DGZMmWKHDt2TMaOHStZs2aVX375RfLkySMlSpSwWve6deukYcOG0rp1a4mNjZXXXntN/vjjD9mwYYOsXr1aKlSoYJVeVeW9996Tzz//3Hg7q5+fn7z77rsyYMAAl/cxJWePiZTHdWqpj+vKlStLy5Yt5e2337abftSoUTJ79mzZsmWL3b8nJSXJ0aNH5cKFCzZvi69Ro4bVZ1WVoUOHyrBhw+TWrVsiIuLr6yvvvPOODBkyxGbdzvwGvXv3NtLfu3dPYmNjJU+ePFK1alURuX+enT59Wtq2bStffPGFzTa2bdsmZ86ckWeffVaCgoJERGTJkiUSFhYm1atXN9IlJibK+vXrpVSpUuLt7S0HDhwQf39/KVy4sPj6+tr9bsqVKyfHjh0TVZV8+fLZnAepz0uz6UVErl69Ki+99JJs27ZNrl+/Ljly5JC4uDiJjo6Wn3/+WQIDA63SZ8mSRZKSkqRly5bSpUsXKVu2rM06r1y5Ivnz55devXrZ3a+UUp/7IiJr166ViRMnyvHjx2Xu3LmSM2dOmT59uuTPn1+eeuopm/RxcXFy7tw5KVOmjHh4eIiIyJYtWyQkJESKFSuWbh7SkpiYKEOHDpUJEybI+fPn5fDhw1KgQAH56KOPJF++fFbnTsplFi5cKAcOHBARkRIlSkjTpk1t7lsPwuw+X7lyRbZs2WL3PGvbtq3VZ7PXLrP5MXsem9GxY0en0k2ePPmBtiMi8tdff8mXX34pu3fvFn9/fyldurR0795dMmfObKRp06aNjBs3TkJCQuyuY9u2bdK+fXvZt2+f1XwfHx8pWLCgdOzYUdq3by8RERE2y167dk2aNWsmK1eulN69e8u0adPk/fffl8qVK4vI/WvX8OHDpU2bNjJq1CirZfft2yd16tSR8uXLy++//y5NmzaV/fv3y99//y3r16+XggULygsvvGC1zG+//Sa+vr5SpkwZERHZvXu3JCQkSJ06dWT+/PlGOmffOJ83b1678y9evCiHDh0SEZGiRYva3XcR8+WE4cOHy6BBg6RLly5W39HkyZPlo48+kvfee89q2Vu3bkmPHj1k6tSpIiLGud+jRw/JmTOnTXpndOjQwem09so2M2bMkEWLFsnUqVMlICDA9PbtSXnP9/DwEIvFYvdN9haLxaY8K+LcuZ/6WEpLymNJ5P7xlCdPHrFYLGZ2y6Fy5cpZrevo0aOm7pnjx4+XXr16SceOHaVatWoiIrJ+/XqJjY2VsWPHymuvveZw23fu3BE/Pz+X8n3nzh3x9PS0e5xfuXJF5s2bJ8eOHZO+fftK5syZjeebnDlzisj933nq1KkSGhoqIiItW7aUMWPGSGRkpLGODh06PPAzS6ZMmeTWrVty7949CQgIsMnv33//LSKuPx8k+/rrr2XVqlWyevVqiY+Pl6efflpq1aoltWrVktKlS9scL0WKFJEZM2YY536yLVu2yKuvvipHjx61mv/MM89IyZIlbcp93bp1kz179sjatWut5teuXVty584tdevWlU6dOskff/whhQoVktWrV0u7du3k5MmTRlqz99iAgAD5448/JF++fMa8ffv2Sd26daVDhw7Sq1cvu8+bN27ccKqsGRkZKb/++qtxbc+SJYtMnDhRXnzxRREROXLkiJQrV05u3LghIvfv10ePHpXcuXMbn/fs2WM8Z589e1by588vCQkJ4uHhIb///rtxX6xWrZp8//33kitXLhERuXTpkjz77LOSmJhoXGud0a5dO+P/Hh4e8vHHHxtl8HfffVf69u0rWbJkERGR69evy4ABA2y+nxo1akhMTIz06NFDgoODZc+ePZI/f37p0aOHHDlyRJYuXWqkbdWqlWzcuFFGjhwplSpVEhGRrVu3yjvvvCPVqlWT6dOny4ABA2TOnDny9ddfp5v/mjVr2swbNWqUTJkyRQ4dOiTPPfecdO7cWZ577jnjuioi8ueff0q+fPnk3r17xrx169bJlClTZO7cuVK8eHHp1KmTdOrUyWq5ZPPmzZMzZ85ITEyM8RtMnTpVwsLCpFmzZsY9IFnyvSB5nqravRfkzZtXpk+fLjVq1JCEhAQJCwuTH3/8UerUqSMiInv37pWaNWsa57+IOH2tSC0wMFAOHDggefLkkezZs8uSJUukfPnycvz4cSlXrpxcvXpVrl27ZpS7rl27Znc9yRyVz1Kyd/318vKSd999V9577z0JDg425nt7e8vu3bulePHi6a43LYMHD3YqXcoYgb3fPJm93y00NFRatGghnTt3No7r1G7fvi3//e9/ZeDAgbJp0yZ59dVXra5nyWUGe+tPHRsrVqyY9OrVS15//XURETl9+rQULVpUbt++LYUKFZLY2FjjOW/8+PHSunVr47vdsWOHNGrUSM6dO5fm93H+/Hlp2bKlrF69Wi5evCiZM2d2+doiIrJ48WKJiYmRYsWKGd/Rtm3b5ODBgzJv3jxp3LixjB8/Xo4cOWKUtZ15PkiPo3t+YmKifPPNNzJo0CDx8/OTwYMHS+vWrdMsI/3nP/+RMWPGSPbs2eXWrVty+PBh8fX1lcmTJ8s333wjGzdutEq/atUqef755+XatWvSrl0745np/fffl4MHD9qU05zxSASnPT095dy5c2kGwXLmzGlcgJ9++mnp1q2btGjRwm7677//Xr788ktZs2aNMe/UqVPyxhtvyLJly6wusPXr15dx48ZJ/vz5Hyj/cXFxxoNTSEiI7N6921ino+B0nTp1pHPnzvLCCy84LCjcu3dP1q9fb3Xz2rx5s3z++edGwCMqKkreeustI1jtyK1bt+TGjRt2v2dXCod//fWXxMbGSmxsrFy7dk1at24tHTt2fOCLcEqnTp1y+OCalkuXLomPj49TNxqzBe7Vq1dLw4YNpXr16rJmzRo5cOCAFChQQIYPHy7btm2TefPm2Wzj2LFjMnz4cNm9e7fcuHFDypcvL++++66UKlXKYb6cLUy6ss/J0jomUhck7W0vuSApcr9Q88Ybb8hnn30mXbt2NSo67t27JxMnTpS+ffvKV199ZbcCJfkmd+rUKZuHYUcPwiIiCQkJcvToUblx44YUL17cKJDak95v4ErFlL38nDhxQgoWLGjsvz1+fn5y4MABp6876Z2fqR/azKZPaf369VbfUd26de2mmz59usTExLj8gJ2eH374Qdq0aSOtWrWS6dOnyx9//CEFChSQL7/8Un7++Wf5+eef7S539OhROXbsmNSoUUP8/f2NglJqU6ZMkaCgIImJibGaP3fuXLl165ZNoWTw4MEydepUGTx4sHTp0kX27dsnBQoUkDlz5siYMWNsbuhHjx6V5557Ts6ePWs8qB06dEhy584tS5YskYIFC9rN/6FDh+SLL76wur736NHDWMeD+PHHH6VVq1Zy48YNCQkJsfpeLBaL3QcAV65dIiJnzpwRETEeWtNi9jx2pmLQw8ND8ubNK+XKlbMbYEu2YMECm3mOAvgWi0XatGmT7v7YU6FCBTl//rxMmjRJ6tevb8y/e/euDBgwQEaOHCkdO3aUCRMmGH9TVVm3bp1UrFjRqrI3LUlJSfLZZ5/J2LFjjYJ79uzZpWfPntKnTx+7FSNXr141Cs/Jv3G3bt0ke/bsIvLggdS07Nu3z+Z+e/PmTenRo4dMmzbN+P49PT2NisGUwdjExESZMWOGNG3aVDJlyuT0dr///nsZO3as1XnWs2dPefnll23S9uzZU9avXy9jxoyRBg0ayJ49e6RAgQKyaNEi+c9//iM7d+40tc8PgysVkOkFLlMGf9OrWEhdLrt69aokJibalBf+/vtv8fLyMsolD3Ismb1mi9wP4CxevFhOnz5tVPYnSw7OOsPRPXPBggUycuRIq+Oob9++0qxZM5u0rlRwOhNsTrZnzx6pW7euhIaGysmTJ+XQoUNSoEAB+fDDD+X06dMybdo0EUk7aJHMXrnL7DNLekEAe7+XKzw8PCQiIkL69Okjb775Zpr3DxGRRYsWydChQ2XcuHFSsWJFEbkfYOjRo4e8++670rx5c6v069evl7p160qlSpWMANuKFStk69at8uuvv8rTTz9tlX7Pnj3SqlUrOX36tPTu3ds4dnr06CH/+9//ZObMmVbpzdxj8+TJI999953NNv/44w+pXbu21K9fX2bMmOGwzJyeZs2aSZYsWeSbb76R+fPnS6tWrSQuLs64ti5ZskTeeecd43g30zgrvQovR0EtM/Lly+dU5dWJEyesPpupJLhx44a8/fbbMm3aNCMu4eXlJe3atZPRo0dLYGCg7Nq1S0TEbqMNZxQuXNiokE6+D6eWkJAgs2bNsnse2QvKOeKoomz16tVO5TV1cP2NN96Q3bt3y6effioLFy6UqVOnyl9//WU0dvvuu+9kzJgxsnXrVmMZV68VRYsWlWnTpkmVKlXkqaeeksaNG8t7770nc+bMkR49esiFCxesYkypA+7J7B17W7dulaSkJJvYSnLDyORrh4jIrFmzZPLkybJx40Zp1KiRtGnTRho2bCh+fn5pBqedbYDj4eEhOXLkkKxZszosz1osFocNCJ1x69YtUxXdxYsXl6ioKOnXr59ERkbafK+pywhly5aVXr16Sfv27eX06dOSL18+2bdvn/HdbNiwQV5++WX5888/5fXXX5eKFStK586d7W57+PDhsnbtWlmyZIndv2/YsMFoMFm0aFHp2LGjdO3a1al7X3pOnDghEydOlMOHD4vI/WPwtddes6owdJWZY+7777+XDz/8UK5cuSIffPCBvPHGGzYNSh1Jr2IqtcTERLl27ZpVGfvkyZMSEBDgMHabJpfaW7uZh4eHzUtOUk6HDx+26voSERGR7nADqcc+TPb333/rli1bdPPmzVZvBk3PmTNn7L4oQ/V+952U3QQsFouGhoYan8PCwh5K19WMpGHDhurn56dNmzbVhQsXptnNNT1Xr17Vr776SitUqPBAebp8+bK++eabGh4ebnSbioyM1Pfeey/Nrpq1a9fWmTNn2rw9OKW7d+8a47BVrVpVR44cqarW3b82b97schcHV7myz8ePH3c4ZlLK88qVLtl9+vRRi8WiISEhWq5cOS1btqzxYsNevXo53I8yZcpoTEyM/vHHH3r58mW9cuWK1ZSa2ben/9PMvOlb9f449alfZPMoSUhIsBm+yBm7d+/WuXPn6qJFi2y63adWtmxZnTp1qqpan2c7duywO4bppUuXtHbt2sZxmZy+Q4cOVi/4SVa4cGH9/fffbeavWrXK6J6VUsGCBY3fLGV+Dhw44HC4hAYNGlgdp5cuXdIGDRroc889Z3ef582bZ3SVTh4+Kjo6Wr28vKy6yia7ceOGfvjhhxodHa0FCxa0eVOzvX125e3dzrp7965++OGHxjnv4eGhISEh+sEHH9gdssLsebxq1SpjfEsfHx/jNxg2bJjNEBRvvvmmZsqUScuWLatjx45N80VwKS1evFiDg4ON+3hYWJgxJXfzc2X4g7t37+pHH32k3t7e2rVrV71+/bpu3bpVixcvbnSzSy0xMVG9vb2derGoPWbGtHSna9eu6cSJE7VSpUp2y0Zdu3bVAgUK6M8//2zsw5IlS7RgwYLG+KUpOXqJ8MNi9qVld+/e1f/+979arlw5DQwM1EyZMmmVKlV0woQJDsczvHv3ri5fvlwnTJig165dU9X7Q4wljzufmrPjCyfbvXu3RkREaKFChdTLy8vYhw8++MCqa62rzL40zhVmr9m//fabBgQEaMmSJdXLy0vLli2rYWFhGhoaavPyKHcYNGiQFihQQGfMmGE1jMDs2bONrvQp7d69W7NkyeL0b1anTh1jCIaUx+n69eudGq8yLQkJCdqhQ4d/9DxTNVdGSLZgwQJ9++23tVy5curn56fR0dHav39/XbZsmd17XcqXFfv4+Fj939GQETt37tSWLVtq8eLFtUKFCtqhQwfT1+Xbt2+bGr7OnpYtWzosS+/bt08jIiJURIzrvtkhg3bt2qVZsmQxvpPUL45t3bq11cvw0nuvwIoVK4xrfPIwhelN9hw9elQ/+OADbdGihTFsx88//+zycIuOttG5c2etVKmSRkVFaatWrRyOF6yqev36dWM/HV2nk61Zs0ZbtWql0dHRxnjv06ZNsxpHN6UTJ07YHYItKSnJariD1NavX6+dOnWyeg+UvfXcu3dPBw8erDly5LB6Zvnwww+thkxzxcWLF/Xpp59Wi8WiwcHBOn/+fKu/165dW99///0H2kayd999Vz/55BNVvX8d9fLy0kKFCqmPj48x/MKqVauMGIWZd9lUqlRJ586da7PNH374QStXrmw3P8ePH9cBAwZonjx5NEuWLOrh4WF3Har3y/v+/v7auXNn9fX1NX6DL774wuae+dxzz6mfn582a9ZMFy1aZGp4Plfcvn073bHRAwIC7L5zwZGvv/5aAwMDtWPHjlq8eHGbl+8NGTJEGzdu7NS6jh8/bvWeNFXrdx9lzZpV3377baeeUe/du6fz5s3TIUOG6JAhQ3T+/PkOX4jojAcZHs3MMWexWDQgIEA7deqU5vvH0uLsEJVmy6fpeSSC0+m97CR1ECwgIMDuj5ps9+7dDse2NSMxMVEHDRpk9aAdGhqqgwcPtrowuDLQfkr79+/XX375xeF4QM68UCHlxSO98dvsjfF8+/ZtXbRokXHQpXT16lVdtGiRVfDWYrFojhw50t1WWn7//Xdt3bq1BgQEaPbs2e2O5evMm3hV7wczihQpooGBgdq1a1cdPXq0jh49Wrt06aKBgYFaoUIFvX37tm7evNnqLe2uFLgDAwON9CkfAE6cOGF3DKQlS5bo0qVLbeYvXbrU6g3pyZwNOLm6zzVq1LB7PE6fPl1r1qxpfHa1ILlx40Z96623tGHDhtqwYUPt2bOn3UH5UzJ7kzP7IGz2NzDLzJu+VVV/+eUXLVu2rP7444/6119/Of2ClG3btun06dN1+vTpTr08xEz6Hj16WB0nyb744gu7Y07nz5/f7puP7dm8ebOWLFnS5m3iqV9KlDKA6O/vb1SWpDzPjh07Zvc8a9OmjdavX1/PnDljlX7p0qVavHhxm/S+vr52KzlPnDhh9yUPKcdiTLn+/fv3230ZraNxKnft2mU3ver98fOSx45MacCAAVqgQAGb+S1atNDs2bNrv379dPTo0TZvbLaXJzNv7zZ73rz++uuaNWtWnTBhglH4mjBhgmbLls1uUNHseWy2YvDOnTs6c+ZMrVu3rgYEBGhMTIwuXbo0zReeOBPATzmuZXqVeKlt3bpVS5QoodmzZ1dvb2/t2LFjmud88eLF071+PghHheY9e/bo4cOH06y0NWv16tXatm1bDQwMNMbu27Jli0268PBwu2N6/v7773YbHvzTlX1mxiO9deuWVq9eXT08PLRevXras2dP7dmzp9arV089PDy0UaNGmpiYqEePHjXGvT558qQWK1ZMAwICrAIFb731llUg6EG4GrhMr3yazOxL45KZeegxe82uVKmSDhgwQFX/f5+vX7+uTZs21a+++soq7ZYtW3TTpk0269i0aZPVy71Syp8/v92Xl16+fNlu5aDZCk6zv1nKF/GlTH/y5Mk0x+d0VkhIiOngtLMP/q6UEey5cuWK/vjjj9q2bVv19va2u9+uviDNrK1bt+q0adN02rRpDo8hs/fY3bt36+TJkx1uc+/evVq2bFnjXHLl5bIXL17UhQsX2j0ffvrpJ6tjwB3vFTBTKb169ep019e9e/cHyo9ZZoKQyTw8PKzGzk526dIlm+/TlaCcmYqyK1eu6Ny5c3XEiBH62Wef6Q8//OBUpfeVK1fsnuv/+9//ND4+3mb+wwgSbtiwQUeOHKmLFy82tZw9KZ/lUkr9viV7kpKSdOnSpRoTE6O+vr6aM2dOm/eimG2Ac/bsWR06dKgWKVJEs2XLpv369bN5+fXYsWONgGN6L2dO7caNG9qtWzeNiIiwG4tLrXHjxnYbzaRl0qRJ2rx5c3399df13LlzVn974403jIqMDRs26I8//mj196lTp2q+fPk0IiJCu3TpYlM29fLy0rx58+qAAQPsjoFtLyB85MgRLVy4sAYEBBhxq4CAAC1atKjVGNcpXb58WT/77DPt1KmTdurUSUeNGmXViO5Bng/MHHM1a9ZM951j9irhzVZM/RPl00ciOJ1eTVbqGq0yZcro+PHjHa5v3LhxWqZMGat5u3bt0iFDhui4ceP04sWLVn+7evWqdujQwWY97733nkZEROhXX31lHNTjxo3TiIgIU7V+d+/etfvClmPHjmnp0qVtDt7UF4L0gvepCwDptaix17pmzJgxWrt2bYf7UKdOHf3iiy+Mz2bXn+zPP//Ujz/+WAsWLGi09p09e7bDYIEzb+JVVe3Zs6eWLFlS4+LibNZx7tw5LVWqlL700ksaEhJiU+A0W+DOmTOnrl+/XlWtbyjz58+3G0AqVaqU3cHpf/nlFy1durTNfGcDTq7uc3BwsMM3zIeGhqb/BaRgtuWsI88884zVCyHSY/ZB2OxvkHxRdzSlZrZlXeobVHovSDl//rw+88wzarFYrHpo1K5d2+pFpq6mV73/BvJt27bZzN++fbvdwN+3336rzz33XLoPi/v379egoCCtVKmSzpw5U3fu3Kk7d+7U7777TitWrKiZMmXSs2fP6rhx43TIkCHGcvnz5zfeBJ3yO506darNm75V77/kLDlYnjqYbS8YnDt3brtBloULF9rd3/Lly+v06dNt1j9o0CB96qmnbNJnypTJuE6ktG7dOrsv2lC9HwSzd26mfBN0SqGhobpu3Tq767LH7Nu7zZ43ISEhdh+olyxZYhPEUzV/HputGEzp5MmT+p///EcLFCigefLkcVjj70wA/+TJk8Y9y2zlXXLwICAgQAMDA41jypHFixfrU0895fS1Nl++fDYVmmm1pk95DbJ3TfL19dW2bdsaDzxm13/u3DkdNmyYFipUSLNmzardu3dP8yVBqvfPA3vHxb59++w2PHCmss/VF2ypmntpWXKrKXsNKHbt2qV58uTRt956S3PmzGmss1mzZtq6dWuNj4+3Oq5XrlyZ7ov1nK2ANBu4dLZ8mszsS+OSt23mocfsNTvlS5TCwsKMVpa7du2yCe660kou9cvXksXFxamPj4/NfLMVnGZ/s4iICOMYSJn+119/NV40ldKKFSu0W7du2qhRI23cuLH26NEjzeBe27ZtddSoUQ7/npqzD/6ulhFSunTpkv7www/ao0cPLVWqlHp4eGh4eLg2b97c6fymxUzg7MyZM/rUU0/ZlL+qV69u0wPX7D32n2Y2uGumEcvhw4e1RYsWdgObV65c0ZYtW9q995qplA4NDdWdO3emmXd7ZfJTp06lOaVktsea2SCkquNry8mTJ23uga4E5ZytKJs+fbqGhobaBNbCwsJ09uzZdvPuCleChA/i5s2beuDAgTS/o8yZM+uGDRtsll2/fr3dykRH/ve//+no0aNtzmezDXBSWr16tbZv316Dg4O1WrVqeuvWLVW9Xz5LrjBN64XM9o7TN998U6OioozKlMmTJ+uQIUM0V65cOmPGDJv0EydO1Ny5czv9wkUz6tevr8OHDzc+79mzR728vLRz5846cuRIzZYtmw4cONBqGXvP1ekFhM32cN26datmzpxZc+bMafQ+yZUrl4aHh+v27dtV9cGeDx7WMZcWsz24HqR86sgjEZx2RsoD59NPP9Xw8HCHhf/w8HD99NNPjXnLli1THx8fLVGihObJk0fDw8OtugY6entv9uzZHRaEk9/E6Yxdu3Y5rHVq1qyZXrx4UYOCgvSPP/7QtWvXauXKlXXNmjVGOmeD96m7pJhRqVKlNGsaf/zxR61UqZLL6583b542bNhQAwMD9aWXXtKFCxdqfHx8ug+pzr6JN2/evHZbHyT75Zdf1GKx2A2Ymy1w9+nTR5966ik9d+6cEehdt26dFihQwO76/fz8HLb2sfeg7WzAydV9DgkJcfim8vRqg1Udd8m+ePGizcV237592r59e42JibF6w3hq8+fP1+LFi+uUKVOceuuv2Qdhs79Br169rKZu3bpp9erVNTQ0VN966y2b9GZa1qma61qmqvryyy9rxYoVrQI2+/fv14oVK2qLFi0eOL3q/VZpjiot7BWUypYtq0FBQerr66tFihRx2GsiJiZGn3/+ebsVUElJSdq8eXMtUqSI+vv7W+370KFDtXjx4rpp0yYNDg7WtWvX6owZMzQiIsII6qQUFBRkdLNN+RskFyZS69evn+bNm1d///13vXfvnt67d09XrFihefPm1T59+tikX7hwoYaGhurw4cM1ICBAR4wYoZ07d1YfHx/99ddfbdK3adNGS5QooZs2bdKkpCRNSkrSjRs3asmSJbVdu3Y26VXvF5TstYqaPHmy1qtXz2Z+vnz50n0re8rCotm3d5s9byIiIuzm548//rDb4tXseWy2YjCl06dP66BBgzR//vyaM2dOh8FpMwF8Mz1vkpKSdOjQoerr66vt27fXy5cv67hx4zQoKEiff/55h5VGKbug+/n5pRtITV2ZOWLECH311Vc1c+bMdocYWrhwoRYtWlS//fZb3bNnj+7Zs0e//fZbjYqK0tmzZ+uMGTM0V65cxjlhZv2NGzfWkJAQbdmypf70009GMCe9+37t2rU1JibGqsvhrVu3NCYmRuvUqWOT3pnKvgdpLbl27VoNCgrS119/Xf38/LRnz5767LPPamBgoE2FXpEiRdJsTfT999+rxWLRjh07GvMyZ85stIBKXeniKLBrtgLSbODS2fJpslq1atltkfjmm2/arbxTNf/QY/aaHRkZaVyPoqKijGucvd4rZlosJV8vLRaLTps2zeoaOn/+fO3WrZvdYUbMVnCa/c06deqkzZs314SEBKMS5dSpU1quXDmb3k+vvfaaWiwWzZw5s1atWlWrVKmimTNnVg8PD4ctS4cMGaJhYWH64osv6tChQ9Ntiefsg7+rZYRkJUuWVE9PT82SJYu+8MIL+vnnn6fZu1bV3DARR44c0SJFijgdOKtfv75Ni++DBw9qdHS0TWWW2XusqwFeZ7ka3HXk8uXLRtm/S5cuRk8Ae/r162e3h5WZSuk+ffpoZGSk3bLsW2+9pYGBgXaPofQagaVktseamSBkcld8Dw8Pfe2116y657/11ltapUoVm+EQXAnKOVNRtn37dvXy8tJ27drprl279M6dO3r79m3dvn27tmnTRr29ve32nuzQoYNTU0pmgoSpy61pTalduHBBGzVq5PTvXLNmTatWsZcvX9aaNWtqTEyMzbrTk7qBgdkGOCndunVLp06dqpUrV1Z/f/+HMnxb7ty5jR5rKRuxTZs2zW4Lf3utgdNqFZzMmZb42bJls+pt8v7772v16tWNz99//73Nd+RKb2+zPVyfeuopbd++vdVQtnfv3tV27drp008/bZXWlZ75Zo+5q1ev6q+//qo//fSTw2eI1Mz24HKlfJqeRz44vWzZMo2JibHqspeQkKC1atVSLy8vbdCggRFAatCggXp5eWmNGjWsxvWKjo42WjonJSXpp59+qkFBQUZLTUfBaV9fXz106JDN/IMHD9rtQuiIo+B0ygB7SEiI8eOvWLHC7lAADyK91jVhYWFpjmN16tQpp2tt7I0h7enpqe+//77NsCHpPaQGBAQY+cqWLZtRM3Xs2DGroJ+Pj4/DMcFV77dk8PT0tPs3swXu+Ph47dy5s3p5eanFYlFvb2/18PDQ1q1b221JERkZqStWrLCZv3z5co2IiLCZ70zASdX1fW7cuLHGxMRY5fXevXv64osvaoMGDRyuL70u2S1atLAa2/f8+fOaKVMmLVGihDZt2lS9vb112rRpdtdttkug2Qdhs7+BIwMHDrT7EGymZV167LWQDAkJsdv9ffPmzXZbu5tNr6paokQJq94RyT7//HO7BaWBAwc61WsiS5YsDru0qt7vTm2xWGwqWpKSkvTjjz/WwMBA45jw8/OzGQMxWcOGDY2/Jf8GiYmJGhMTY9P1U/X+efzyyy8b57C3t7d6enpqhw4d7HY5VL0/bmDdunU1IiJC/f39tXr16nbHCla9X6Bo2rSpWiwWq3EtmzdvbnccddX7w1lERERot27djOt1t27dNGvWrDp+/HibQvf06dP1pZdeSncICmcme+eZ2fNm0KBB2rJlS6vudnfu3NFWrVrZrbgzex6brRhMOayHn5+fvvTSS7pkyZI0x+szG8B3tudN5cqVNXv27DaVwMeOHdOnn35as2TJYrcl0sPqdv7ll1/a7cZdqVIlh93KkyukFyxYkG7w3976PT099e2337YZmzW9+/7evXs1R44cGh4errVr19batWtreHi45syZ027w6J+qtE/J2fFIfX199fTp0w7Xc/r0aZtzLSwszPg+Uhb+165dq1mzZrW7HrMVkGYCl6rmy6fr1q1TPz8/ffrpp417wNNPP61+fn52g9mq5h96zF6zmzVrpl9//bWq3r92FCpUSD/++GMtX768TSWHmRZLqcsoKScfHx8tUqSITZdkVfMVnGZ/sytXrmjdunU1LCxMPT09NXfu3Ort7a01atTQGzduGOnmz5+vPj4+OmXKFKuAcGJiok6aNEl9fHzsXuvMtsRz9sHf1TJCsi+//NJULz4zw0Somm9d5+fn57ABSOrj2uw91pkAb3h4uOmhHZO5Gtx1JOXzb5EiReyWS5Nt27bNbqWO2UrpDh06aN68ea16LPfs2VMDAgLsjlmfnM+U09atW/Xrr7/WYsWK6Q8//GCV1myPNTNByOTu+BaLRatVq2bVRb9evXratWtXm/upK0E5ZyrK2rdvry+99JLD/XrxxRft9jq3WCyaL18+ff7557V58+YOp5TMBAkdPSvaC9Kn9uqrr2r16tV169atGhgYqL/++qtOnz5dixYtajSES/bnn39qgQIFNDQ01PgNwsLCtGjRomne41NK6/0aZhvgqN4f7qJz584aEhKiFStW1HHjxunly5edykt6AgMDjXhLzpw5dfPmzap6v4LW0VCEZjnbEj91Oap69er68ccfG59PnDjhVGO69Jjt4ern52f3XQj79++3W2Yx2zPfzDG3c+dOzZ49u/EdhoSEpNlgMeU+mOnB5Ur5ND2PZHD65MmTOmDAAM2bN6+GhIToK6+8ot9//71VmoSEBP3000+1TJkyGhAQoP7+/lqmTBn99NNPNSEhwaqgkrJrXLLvvvtOAwMD9ccff3QYnK5cubLNGEGq9wNOVapUcXp/HAWnw8LCjIO2QIECxk3z6NGjVgf5gwyu7mzrmqCgILtd+pM506o2rTGku3btqqGhoVqtWjUdP3688TLK9B5SixQpYox7Vr16daNl1uzZs60Kbjly5HD4YgnV+0Gl7Nmz2/2b2QJ3slOnTumSJUt0zpw5ab4YpWvXrlqqVCmrY/DIkSNaunRp7dSpk016ZwJOqq7v8/79+zU8PFwLFixojDtXsGBBjYiIsCngm+mSnS9fPqtC64gRI7RgwYJGDeOIESMcnjdmu76YfRA2+xs4cuTIEbs3LDMt6+xJ7wVhQUFBdluz7Nixw24rFrPpVe+PBebv768DBgwwgjofffSRBgQEGA/4rnAmWGOvC3Sy+Ph43b9/v27evDnNly/s3btXs2bNqg0aNFAfHx996aWXNCoqSiMjI9PsFnjo0CH9/vvv9ccff3T4Mp67d+/qoEGD0qwMcuTw4cO6aNEiXbx4cbrjqpsNJJctW1aDg4M1KChIS5YsaWrMf2eYPW+aN2+uwcHBmiVLFq1Tp47WqVNHs2TJoiEhIXZfxGT2PDZTMfjGG29opkyZtHTp0jpmzBib4bwcMRvAd7bnzSuvvOJwCJykpCQdNWrUQ3sAsOfYsWN2z31Hhe0DBw4YlfDOtJCwt/6NGzdq586dNTg4WCtXrqxffPGFXrx4Md37vur9brdff/219u7dW3v37q3ffPON0XXVFSlb5jjz7g5XRUREpHnN37Jli00vgpdfflm7dOmiqv9fsXb9+nWtXbu2w3FhzVZAOhu4TOZs+TSlnTt36quvvur0S+Ncfehx5pqtev+YTC4X37hxQ1977TUtVaqUvvDCCzbLudJKLl++fE5fV5KZqeA0+5slW7t2rY4bN04//fRTIyiWUpMmTfS9995zuHy/fv20adOmpvbLHmcf/B+0jJBSci+ltJh9d4HZ1nWFCxc2Ajspbd68WQsWLGg1z+w91pkAb3h4uMtDL6q6Ftx1JOXzb8qgiD0nT560e20xWymdmJiozz//vEZFRemlS5f07bffVn9/f5feS/DTTz9ZvYtH1fkGRMlcCUK2b9/+ob7MOPWznTMVZYULF7Z7/Ui2fPlyLVy4sM18V15G7coweMl5KF++vC5dutS4fy9dulQrVqxot8IvW7ZsxrkZHBxsNEBctGiRVcvcZDdu3NCJEyfqm2++qX369NGpU6c69VJTZ96vYaYBzqeffqpRUVEaERGhvXr1SrdniKo6fEFe79699f3339fJkydb/TalSpUynuHr1KljNMQaO3aszXUxISFBPT09TVUKmmmJnydPHmOIofj4eJvzd8+ePTbHhSu9t832cM2aNavd+/XSpUvtllnM9sxXdf6Yq1evnlarVk03bNigO3bs0Oeff96pYTbM9uBypXyankcmOB0fH6+zZs3SOnXqqJ+fnzZu3Fg9PT3TfFNualevXtWJEydq5cqVrR4iHT0szJo1SwMCAnT8+PF2HzpXrVqlgYGBGhUVpR07dtSOHTtqVFSUBgUFOWwJYo+j4PRTTz2lCxYsUNX7b2Bu0KCBrlu3Ttu2baslSpQw0qUce8pRLaGjB2dnW9dUqVLFanyf1IYOHWo3sGhmDOlbt25pbGys1qhRQ319fbVp06bpXtyceROv6v3CVI0aNey2nrlz547WrFnTbg2vO1y5ckWrVq2qXl5eRtDby8tLn3nmGbs1ns4GnB5kn8+ePav9+/fX5557Tl988UUdNGiQTQHCbJfs1AXPhg0bWrXwOHToUJovRjLLzIOw2d/AkWnTpjms5DD7pm9V518Q1rRpU61Ro4bVw8Kff/6pNWvWtDumotn0yb766ivNmTOncU3Jnz+/MVZeas6+DCq9bu5z5861W8CdPn16uhU0qV25ckU//vhjjYmJ0YYNG+oHH3xg80ZnVwUGBtrtfusMZx6YXeHKg6cZZs+b9F6+ZO9FTGYDWqrOVQxaLBbNmzevNm/e3CYwnjpI/iDM9rxJi6N9MdMF3ZFPP/3U7kvUypYtq+3atbO6jyQkJGi7du2MFrLr1q3TfPnyubR+1fuF7UmTJmn16tWNCoUxY8bYfQGzq9J7SU3KF0w56sLtqBzlKIh97do1m/vvyy+/rC+88ILDfL7wwgs2wc4zZ85o8eLFNSoqSr28vLRq1aoaHh6uRYsWtTvuqKprFZCq6QcukzlbPn0Q/8RDj6vOnDnzwK3k/inr1q1z6jdLOQxOWlK2irNn06ZNdoO0KTlzT3P2wd/VMkJKU6dO1ZIlS6qvr6/6+vpqqVKlHPbUM/vuArOBs4ULF2rlypWtWoNv3bpVq1atapxTyczeY10N8JrxMIO7KZ9/HbUST/bbb7/ZHYPZbG/V5GWSK4ECAgLSPG/ScuTIEZvhVZxtQJTMbC/AhyW9Ri/pVZSlbElrz6lTp+wOPaNq/mXUrgyDp3q/x6e9Rlpr1qzRYsWK2cwPDg42yvF58uQxWsAfP378gc8bV96voepcA5zk8my3bt0cBp3ffvttq2Vq1aqlISEhGhgYqOXLl9fy5ctrUFCQhoaGapUqVYz3cCTnb9SoUUaZdfny5ern56e+vr5GeS21/Pnz2x3WxREzLfFff/11jY6O1jVr1mjv3r01PDzcqqw1Y8YMrVixotXyrvTeNtvDtUePHporVy6dPXu2nj59Wk+fPq2zZs3SXLly2e3N9DCfD1JLOc518r5YLJZ0K7XM9uBypXyaHouqqmRwPXr0kFmzZknhwoWldevW0qJFCwkPDxdvb2/ZvXu3FC9ePM3l16xZI5MmTZIffvhBcuTIIS+88IK8+OKLUqlSJRERqVevntSrV0/eeecdm2VnzZol7dq1k8TERElMTLT5+19//SXjxo2TgwcPiohIVFSUvPnmm5IjRw4jzZ49e9LM38GDB6Vly5Y261+2bJncvHlTXnjhBTl69Kg0btxYDh8+LOHh4TJnzhypXbu2iIicOnVK8uTJIxaLRU6dOpXmtvLmzWv1OTQ0VH777Tfju0i2ZcsWqVevnly5ckVERL7++mvp3bu3zJ49Wxo3bmyV9scff5SWLVvKqFGjpGvXriIi8sMPP8ikSZNkzZo10rBhQ2ndurU0bNhQAgMDnfrNjhw5IlOmTJGpU6fKjRs3pFGjRvLSSy/JCy+8kOZymzZtkg0bNkjhwoWlSZMmxvw///xTKlasKL6+vtKtWzcpVqyYqKocOHBAvvrqK4mPj5etW7dKnjx50ly/MxITEyU2NlZWrFghFy5ckKSkJKu///777zbLqKosX75cdu/eLf7+/lK6dGmpUaOG3fUPGjQoze0PHDhQRP75ffby8pK33npL3njjDSlcuLAx39F5GRkZKb/++quUKVNGRESyZMkiEydOlBdffFFE7v/m5cqVkxs3btjd3vTp02XChAly4sQJ2bhxo+TNm1fGjBkj+fPnl2bNmrm0DymZ+Q1SH4eqKufOnZNt27bJRx99ZPwGroiLi5PY2FiZNGmSXLt2TV5++WWZMGFCmufNmTNnpGnTprJ//37JnTu3Ma9kyZKyePFiyZUr1wOlT+3ixYvi7+8vQUFBDtN4eHhIXFycZM2a1Wr++fPnJXfu3JKQkCAi94/X2NhYWbJkiZQsWdIq7d69e6VJkybStm1bGTx4sNXfIiIi5Pbt29K0aVNp3bq11K9fXzw9PdPMd3p69+4tQ4YMkcDAQOndu3eaaUeNGmX1uVmzZvLCCy9Iu3btnN7etGnTZMSIEXLkyBERESlSpIj07dtX2rRpYz7zD8Hnn39ud77FYhE/Pz8pVKiQ1KhRw+p7NnPeZCTt27cXi8WSbropU6Y80Hby58/v8G8Wi0WOHz8uIvfvCzVq1BAvLy9T61+9erU0bNhQqlevLmvWrJEDBw5IgQIFZPjw4bJt2zaZN2+eVfpy5cpZ7beqSlxcnFy8eFG++uor4x6ebMOGDdK0aVPx8PCQ0qVLi8j98zIxMVF++uknqVq1qkyfPl3i4uKkb9++ptef2qFDh2TSpEkyffp0uXLlijz77LOyePFim3R//fWXrFu3zu499q233rL6vG3bNqlfv774+/tL5cqVRURk69atcvv2bfn111+lfPnysnr1aqlevbp4eXnJ6tWr08xjzZo1rT57eHikeSzlypVL2rdvLwMHDpSDBw9KlSpVpESJEtK7d2+r+/Lo0aPljz/+kE2bNkmJEiWs1nHv3j2ZPXu27NmzR27cuCHly5eXVq1aib+/v91tNmvWTK5cuSKzZs0yyqNnz56VVq1aSaZMmWTBggVp7mN6nCmfXrt2TUJCQkRE5Nq1a2muLzldSn/++afUr19fVFWOHDkiFStWlCNHjkiWLFlkzZo1NveW5GUWL14sp0+fNu4xyVJfswsUKCBbt26V8PBwq/lXrlyR8uXLG+dmsps3b8p3331nda1r2bKleHt7G2k+//xz6dq1q/j5+Tm8niZLfZyeOXNGLBaLcf/dsmWLzJw5U4oXL57ueeMMPz8/qVy5stSsWVOeeeYZiY6Otnv8+Pn5yfHjx62eY1I6e/asFCpUSG7fvm3zNzP3tCtXrki7du3kxx9/NL7De/fuSdOmTSU2NlZCQ0NFxPUyQrJRo0bJRx99JN27d5fq1auLiMi6detk3Lhx8vHHH8vbb79tlT5Xrlzy/fffS7Vq1SQ4OFh2794tBQoUkAULFsg777wjx44ds0rftm1b2bFjh0yaNMm4vmzevFm6dOkiFSpUkNjYWKv0mTJlklu3bsm9e/eM633y/wMDA63S/v3336busdmyZZOZM2caz4eprVixQlq1aiVxcXFW87dt2yYHDhwQEZHixYtLhQoV7C6fLCEhQRo1aiS7d++WmzdvyqJFi6Ru3bppLmPP7t27pXz58pKYmCgvv/yy3L171+G1qVmzZuLj4yNz5861+/fTp0/Lvn375MaNG1KuXDmr55JkKc/J69evy5AhQ6R+/fpSp04dq3Spz83U16/kMv9//vMfOXjwoOzatcv4W7ly5eTYsWOiqpIvXz6r64OIyI4dO+zmPyEhQY4ePSo3btyQ4sWLp1m+dvT7JrP3nJksvZiIsxyV8ZOdP39ecuTIYTd2ktKpU6ckNjZWpk2bJvfu3ZP9+/fb7Luz14rU/P39ZevWrTbXjT179kiVKlVsrmGVKlWSjz/+WOrXry9NmzaVsLAwGTZsmHz++ecyb948GT16tDRs2FC8vb3tlktSatq0qfH/Jk2ayJo1a6RRo0bSqlUradCggXh6ejodx0pPrVq10i3PWiwWq+NizJgxsnbtWpkyZYpx/7169ap07txZnnrqKenSpYu8+uqrcvv2bVm2bJnN+k6dOiXbt2+XQoUKGWXDlCZNmiTz58+X6dOnS+bMmdPdhyJFishXX33l8Dry22+/yZtvvimHDx+WS5cuyQsvvCDr1q2ToKAgmTp1qjz//PNG2jp16kjVqlXlk08+Meblz59fYmNjjfLbZ599JhMmTJCDBw+Kl5eXfPbZZzJv3jzZtGmTzbaPHDkiBw4cEIvFIlFRUVKoUCG7eUxISJC+ffvKhAkT5N69eyJyPybyxhtvyPDhw8XX19cqvTPPB4sXL3bpmLN3fgYHB8uePXvS3K6IyNq1a2Xw4MGye/duo7w5YMAAqVevnt309+7dkzlz5lilT6t8mp5HIjjt5eUl7777rrz33nsSHBxszE/rpDYT4FmwYIGsWbNGRo8ebXf7M2fOlG+++UZWrlzpUv6TH1zS+qotFku6F3CR+wWVTJkyOfVQ7Yzg4GBZu3atlC1b1mr+zp07pWbNmlY35NatW8vMmTOlWLFiUrRoURG5H1g/fPiwvPzyyzJr1iwjrSu/mT1JSUmyZMkSmTRpkvzyyy8SHx/v8r6eOHFC3nzzTfn111+N38Jiscizzz4rX375pcOLjYi5B57u3btLbGysNGrUSLJnz27zWzk6zv4Jzu7znj17pGTJkuLh4ZFuZUryTWjTpk0yadIkmTNnjkRFRUmbNm2kRYsWkj17dru/cbNmzSRLlizyzTffyPz5840CcqZMmUREZMmSJfLOO+8YBeSUxo8fLwMGDJBevXrJJ598Ivv27ZMCBQpIbGysTJ06VVauXPnAD8JmdOjQweqzh4eHRERESO3ate1evH/++Wfx9PSU+vXrW81ftmyZJCUlScOGDUXkwQowqiq//fabVUVZWg8LZtM7K/nm2bx5c5k6dapVoTExMVFWrFghy5cvl0OHDomIyJ07d6ROnTqyefNmefbZZyUqKsoI1vz2229SuXJlWbFihc1N7t69e7J06VKZNWuWLFq0SAICAiQmJkZatWol1apVs8nXlClTJCgoSGJiYqzmz507V27duiXt2rWTZ555RhYsWCBhYWHyzDPPpLmfqe8HEyZMkEGDBkmrVq2kQoUKNg+ZKQsNIuYfmJOtWLFCRo8ebZwnUVFR0qtXrzR/u+3btxvpS5QoIeXKlbObLn/+/HLx4kW5deuWcV5evnxZAgICJCgoSC5cuCAFChSQlStXGpUarrhw4YLx+xctWtSq8PQg57ErFYOuWL16tXz22WdWD/N9+/aVp59+2uV1enp6yrlz54zvomrVqvLDDz9Izpw501wuOjpaYmJipHfv3laBlC1btsgLL7wgf/75p1X61JWbydeuWrVqSbFixexu4/r16/Ldd9/J4cOHReT+b/bqq69a3dtdWf+JEyccFpITExPlxx9/lMmTJ9sUyGNjY+W1114THx8fCQ8Pt7rHpgz4J3v66aelUKFC8s0331gFgzp37izHjx+XNWvW2M2Ds6ZNmyYffPCBtG/f3ghObdmyRaZOnSoffvihXLx4UT777DPp27evvP/++7Jp0ybp1KmT8bAjcv96XKxYMfn222/tXr/McqUCcuvWrbJy5Uq7507qco49qcunKY9pRwF8VU2z/GsmKL9ixQpp2rSpFChQQA4ePCglS5aUkydPiqpK+fLlbc7/tCpQ8+TJY5Q37969K8WKFZOffvpJoqKi0vwO8ufPL9u2bZPw8HCnK6aSPf3009K1a1dp06aNxMXFSZEiRaRkyZJy5MgR6dGjhwwYMMAq/VtvvSWFChWyCaR9+eWXcvToURkzZozV/HXr1smaNWtk1apVsmHDBrl3755UrFhRatasKbVq1ZJnn33W+F7Onz8vERERdvPuKOjk6j3tyJEjVuWQ1GVxV8sIyfLnzy+DBg2Stm3bWs2fOnWq/Oc//5ETJ05YzX/nnXdk8+bNMnfuXClSpIjs2LFDzp8/L23btpW2bdvaND4wGzibOnWq3XzaY6ayW0RMB3j//PNPadmypaxfv17CwsKM/alWrZrMnj3b5jphNribXgXN2bNn5bPPPpPExETZuXOnREdHS+PGjaVfv35Wz5n//e9/ZcmSJbJhwwYpX768819IKukFZUTsn5v2rl+qKrlz55bZs2dLdHS0Md/ZBkQPIvW5dPfuXdm1a5fs27dP2rVrJ2PHjrX6u9lGL85UlHl4eNiU8VO6cuWKdOjQId3YxpkzZ2TKlCkSGxsrCQkJcvDgQYeB+fSuFanVqFFD/Pz8ZPr06RIZGSkiYpzLd+7csamInjFjhty7d0/at28v27dvlwYNGsjff/8tPj4+EhsbKy1btjTuGR4eHg63m/qeZrYxl8j9694XX3zh8J7sqJJDROTSpUsicr8RmCM5c+aU5cuX22x7//79Uq9ePTl79qzs2LFD6tWrJ5cuXZI7d+6In5+fw/WlVq5cOTl69KjcvXtX8ubNa/NMlDr/QUFB8scffzhsMHf69GmJioqSmzdvGvOuXr0qQUFBNg2T/v77bwkKChIfHx9jnr+/vxw8eNBopPncc89JyZIl5b///a+IiBw+fFiio6Plf//7n93tp4yhpOfWrVtGJWbBggUlICAg3WUcSVlOMXPMeXj8H3tvHRbF97ePv3bpbsUgRBCQsBOVUgERTFRssDuwu+ttd4GICrbYGCjY3Q0GdosBSt6/P3h2np2d2WVmUZ/35/v73Nc118UOZ2bOzJw559W3lE6cOMFyDNSvX5+2b9/Omtf5HAv/1/iPME4nJCRQTEwMnT9/noKDg6lLly4UFBREurq6vB/1n/ZQySMzM5Oio6NZin9kZCRrsi4umpmoaJFX9OydOHGC6tevL2oyiIuLU/l/ReFMbHTN9u3bKT4+ntLS0ggAVapUiTp27Ejt2rVjtevTpw9t27aN3NzcqEuXLtS+fXsyMzNT+g68vb3J39+ffHx8qF69ehxPM1GRQUNRibC1tSUfHx9GuK5YsaLqB0RFxhZZVIejo2OxHj2xCo+lpSXFxcVRs2bNlJ6zJNE13bp1ox49eoiKTizunhUnP2XOFD4lMisri7Zt20YxMTF06dIlKigooIULF1JkZCTLeHHr1i3y9/enb9++UX5+Po0bN46mT5/O/L9Lly5kYGBAq1ev5ly3cuXKNGvWLGrZsiXLAHPnzh3y8fGhjx8/ilaES/IOxMLT05PmzJnDGRNJSUk0evRounnzJhGpJ8D8Lbx7945GjBjBGP4Ux4dsXMgWT74xpKWlRfb29rRgwQJWBkZubi4tWrSIEhISGAOYk5MThYeH07BhwzjeZkVkZ2fTnj17KD4+no4fP07ly5fnRDdVqlSJ1qxZwzE6p6amUu/evRljqboQIzQQiVeYiYhWrlxJQ4YMobZt2zLK0IULF5iIjgEDBrDav3//njp06EApKSksxdPX15e2bt3KMT4kJCTQ2rVraf369cxcmp6eTn369KHevXuTl5cXNWrUiKpUqUJ79uwR/d18+/aNBgwYQFu3bmWeh4aGBrVv355WrFhBJiYmJTJo/W7H4M6dO6lt27asfZs3b6aIiAhq3bo1Y4A5e/Ys7dmzh2JjY6ljx45Kz6dKuFU0lMnPc6pgaGhIt2/fpgoVKrCOefbsGbm4uNCvX79E3fPfhFQqJTs7O/L19WW24rI2iIhsbGyob9++NHbsWJXfnQx6enp0/fp1jnH83r17VLNmTcrOzmbtL85Yrbj2+vv7U58+fThy0Pbt22nNmjWUnJxMmzZtopkzZzKKNRHRjRs3WPOdMqcRUZFSrkxJVTRayiDGATlr1iyaMGECOTs7U+nSpTkGf3k5Jy8vj/T09OjGjRscuVUeJYlGVwe1a9emoKAgmjp1KvMtlCpVitED+vXrR0TiHahERYr88ePHizVOlwRmZmZ04cIFcnZ2pqVLl9K2bdvo7NmzdPToUerbty/HYFauXDnat28fJ8r12rVrFBoaynFMySM/P58uX75Ma9asoS1btlBhYSFrDe/du7dShTo7O5vWrVv3W9Y0oSiJjKCrq0t37tzhGLLS0tLIw8ODM0fm5ubSgAEDKDY2lgoKCkhTU5MKCgqoY8eOFBsby8kcevHiBVlZWdGrV69YTuPiDGfKUBLZVKyBNzAwkDIzM2njxo1M24cPH1JERAQZGxtTUlIS6/xijbtC2hMRMzYOHDhAkZGRLAMRALK0tKT169dznPxEf8cprTh/yZyujo6OorOdFJGVlUVz5sxR2n/F714VpkyZQj9+/KD58+cz+9SxiQhxlAlZe5U5HnNycmj37t0UExNDZ86coebNm1NERAQFBgYKOq9QpKenU6tWrejRo0csJ62TkxMlJiYW+41mZ2fTgwcPyNbWVqWhtziIDeYiIurUqRMdPXqU2rZty1mTibhOjszMTBo/fjxt27aNvnz5QkRFa0qHDh1oxowZjA4gg6GhIR04cIB8fHxY+1NSUigkJIS+f/9OT548oapVq9K3b99YmTc+Pj5Uv359lZGxYp00vysSXxnUzd7+WxmuYozfQlCcTqpMj7p8+TIVFhZSnTp1WPsvXrxIGhoaVLNmTdb+2bNnU+nSpSkyMpK1PyYmhj58+ECjR48W3ff/COO0DE+fPqXY2FiKjY2l7Oxs+vz5M23bto2jPP4uA8+TJ0/o58+f5OrqyvuShaSKqsL3798pISGBoqOj6cqVK5wBYmhoSPn5+VSrVi3GAOvl5aVyMpBFu8mQl5dH2dnZpK2tTfr6+vT582fW/0ua3q8KP3/+pO3bt1NMTAxdvHiRAgIC6ODBg7wKTffu3Sk1NZUyMjJIT0+P6tWrR76+vuTn50e1a9dWmq6/efNmJhIkPT2dypUrR97e3szkyZfWJY+MjAzKysoiFxcXpR+yUIVHhrJly1JKSgpVqlRJ6XVLEl3TsmVLOnToENnZ2VFERAR169at2Oi64u65JKVh5FFcSvbHjx/p7NmzZG1tzZn4Dh48SJUrV+Z9HvIeT3kDTFpaGnl6etLPnz9ZinBKSorKCd7b27tE70As9PT06P79+2Rvb8/a/+zZM3Jzc2M8wWIEGLEKTEmN8UFBQfT8+XMaOHAgr+FPsbRKhQoV6PLlyyUS6MTg48ePtHXrVlq9ejXdv3+fM5/q6urSgwcPeN+Bq6srJ70vMjKSlixZwokOzcrKokGDBlFMTEyJ+itWYSYqSjceM2YMDRw4kLV/xYoVNGvWLHr16hVrf/v27enJkycUFxfHGFXu3btH3bp1I0dHR1a2C1GRh3/Xrl28mTRt2rRhUr0LCgro3bt3or+b9u3b0/Xr12nZsmWMcf38+fM0ZMgQqlq1Km3dulX0dywPIY5BeeTn59ODBw9IW1ubNV/v3buXJk2aRA8ePOBk67i6ulLv3r05kUsLFy6kdevW8WZ+REdH06JFixjh1snJiYYOHUo9e/Zk2qhrnBabgk5UpMwnJiaynOqhoaHMOltc6qA8ZMaC4qLcZZCPdk9JSWG2ixcvUm5uLjk4OJCfnx9jrJZFO8nDwsKCLl26JMgZTVSklGzatImT1XLkyBHq2rUrvXv3jrWfTxaQH4eKc4uenh7dunWLI2+kpaVRlSpVKDs7m54+fUpubm4cQ7gM+fn59OvXL96IsXXr1lG/fv3I0tKSrK2tOYZjVRFUQlG6dGmaO3cude/eXVB72RiTKXrF4fnz52RjY8MbffjixQul0VJijPJGRkZ048YNqlixIpmZmdGZM2fIzc2Nbt68SS1atKBnz54RkXoO1FmzZtGjR49o/fr1JTZGKYOhoSHduXOH7O3tKTQ0lLy8vGj06NH0/PlzcnZ25qxRytaQ9PR0cnd3511DHj16xPrucnJyqFGjRuTj40NDhgwhImEp4kTc7CEha1pJSmepC3d3d+rYsSONGzeOtX/GjBm0bds2un37NrNP3tj88eNHun37tsoyEYWFhaSrq0t3794tVt+Q4dWrV7Rr1y5WJkrr1q0ZOb6ksimfgZeoaN5UNPDq6enRuXPnOI6xq1evUsOGDZXOV38SP3/+pKSkJEpPT2eCoJo2barUWSLGKf3r1y86fvw4822PHTuWtcZramrStGnTRAWFlRTh4eGUmppKXbp04e2/7LsUgvT0dKpduzZL11fHJiLWUSYG/fv3p61bt5KNjQ1FRkZSp06dePWE3zVXyMriKDpphcxxBQUFdPv2bbKzs+PYV+Li4qh9+/Ycx1hubi5t3bqV46QjEh7MRVRUdvXQoUNMEIQqfP78merVq8cEF8rL+/Hx8WRjY0Pnzp1j3UOnTp3o/PnztGDBAqaky+XLl2nEiBFUv3592rRpE23dupXmz59PV65cEZx5oy5+VyS+MqiTvS0kG6i4crPy2L17N2efEP1ABjFj7vbt24KyxBVtOrVr16ZRo0ZxbKu7d++muXPn0sWLF1n77e3tKT4+npPxd/HiRerQoYN6Tmm1KlX/H6OwsBBJSUkICwuDjo4OypUrh0GDBjH/F8sAn5ubi0mTJqF58+aYMWMG8vPz0aFDB4YEx9XVlZfoqkGDBujevTvy8vKYfXl5eejWrRsaNmyotP9CSc5yc3Nx5swZzJw5E02bNoWhoSG0tbVRv359jB8/XvDzevToEfz9/ZGUlMT7/8LCQhw9ehRLly7F0qVLeYkhtm3bxio2/+LFCxQUFDC/s7KyMHfuXJV9GDt2LMqWLcuQ6O3atYvT7unTp4iOjkbXrl1ha2sLiUQCIyMjBAYGYt68eSrv8/Xr10hISECnTp2gqanJIniIjo5m2Ldl6NWrF+sdKyO1MTQ0ZJiyTU1NGZKpGzdu8BI8zZ8/H/379/8jBGcyvH//HgsWLICnpyc0NTURGBiIHTt2sBhb1b1noaQ5qpCfn489e/YgJCSkxOcCAFdXVyQmJgJgE9QsXbqURQL5pyEjiChuU4Qyopdjx47BysqKs18IQZi9vT1DOCgjyuHbZOSDYtsrQhnBlhgIJZf8+fMnYmNjsWLFCpXkd1lZWdi8eTOCgoKgra2NihUrYsKECbh//z6nrY2NDfbu3cvZn5iYyEvuJE+QJo8PHz5AQ0ND0H2ogpubG0PmKo/p06fD3d2d9xgDAwOkpaVx9j969AgGBgac/cbGxrxry8WLF2FiYsLZr6enxyJpkuHSpUsMGczTp095ryUE+vr6SslplBHniEGZMmUYdvXicPv2bdjZ2THzYatWrfD27Vs0atQI5ubmGD16NF68eME5Tltbm/cdpKWl8ZJlTZw4EQYGBhgzZgz27t2LvXv3YsyYMTA0NMTEiROZdlKpFO/fv2d+GxkZMaRcqhAVFYUGDRrgzZs3MDIyQlpaGs6cOQMHBwde0su0tDQ4OTlBX1+fIdHV19eHs7Mzs87xkSnz7ZNfY5WRCBZHJijDz58/kZycjIkTJ6Jhw4YM0U7lypU5bUeOHInZs2cX+2xkEEtSk5mZydo+fPiAo0ePok6dOrykXzI5ThGjR49GpUqVABQRnpUtWxb79u3Dhg0bWO1mzJgBHR0daGhooEmTJvj8+TPr/7a2tioJqWVYsmQJs34rEusUR7RjbW1dLNGoPNavX49mzZpxiJKVQdl8+vHjR6XjYu3atdDQ0EDp0qVRpUoVVK1aldn41v3SpUsz5N6urq7MfH/jxg3eOcve3h4fPnwQ1P+WLVvCyMgIZcqUQdOmTQURp+bn52P9+vUIDw+Hv78/fH19WZsiateujdGjR+PUqVPQ1dVlyKTOnz/Pu0a5ublh2bJlnP1Lly6Fq6srZ3/ZsmVhZmaGVq1aYcmSJbhx48ZvlVOFrGk+Pj6MHCAjluTb+J6PPITKCACwc+dOaGhoICAgANOmTcO0adMQEBAATU1N7N69m9W2oKAAWlpaor6FypUr4/z584LarlixAjo6OpBIJDAxMYGJiQkkEgl0dHSwYsUKwdcsDtnZ2di9ezfmzZuHuXPnYs+ePbwEfU5OTrzklxcvXkTFihU5+4OCglhEYLNnz2bJdR8/fmSNPTHts7OzsX//fuZ/Y8aMYZG5jRgxglc/sbCwwMGDB5U8CTZWrVqF5s2bM78NDQ1Rp04dZtxZW1szepNsvRaymZmZMXNJcXqCIkxMTBjivZKCj5RdrE0EYBN8h4SEMOtPRkYGdHV1S9RHoWTUQucKHx+fEvVHHkOGDMH69esBFM3f9evXh0QigYGBAU6ePMlqq86aJo8HDx5g5MiRsLa2hq6uLkdfdnV1xc2bNwX3293dHW/fvuX8782bN/Dw8MDQoUNZ+79//84Q3cnkNG1tbfTq1Qs/fvwAUERIzqf35eXl4dy5c+jWrRvH3qKIK1euYNOmTdi0aROuXbumtJ2ijKlsUxc3btyApaUlc7+KhKOdO3dGnz59WPvs7e2xceNGzrliY2MZEnB1iN5lEKofyCBmzEkkEtSpUwdr164VRS5uYGDA2Fjk8eTJExgaGnL26+jo8Ooqjx8/5tWJhOA/0jgtj0+fPmHx4sW8xgKhDPDDhw+HlZUVevbsCQcHB4SGhsLZ2Rlbt27F9u3b4eHhgY4dO3LOr6ury2sEuXv3LofVVV2WVnncuXNH0ETAh8uXL8PZ2VlQWz4DkuIHYWRkxBq8b9++FdSngoIC7Nu3Dy1atIC2tnax7R8/fozx48fD2NhY6fmzsrJw5MgRjB07FnXr1oWOjg6qVq3Kmojr1KmDmJgY5vfhw4ehqamJzZs34+rVq6hXrx569OjBe36xCk/Lli1hYmKCChUqoHnz5sUqMXzGGjG4evUqBg4cCF1dXVhaWmLo0KF49OiR2vdsZGSErl274ujRoywHRElx7tw5luAJFDGo29vbw8rKCr169cKvX794j123bh3KlSuHrVu3wsDAAAkJCQy7dUJCAqe9o6MjJk+eLFjBEPoOYmNjmW3Dhg3Q1dXFvHnzWPtjY2M5x/Xu3RseHh6M8QcoMhJ5enoqHXcyFCfA/C24urqqFCwUMWfOHGzdupX53bZtW0gkEpQtW5bF4Dxs2DAMHDiQ+Z2Tk4MqVapAS0sLJiYmMDAwwLlz5zjnb9++PQwMDGBlZYUBAwbwtpHHqFGjYGdnhxMnTiA/Px/5+flITk6GnZ0doqKimHZfv35FZmYmJBIJ0tPT8fXrV2b7/PkzNm7cyBH+ZUhJSUHz5s1RsWJFVKxYESEhITh16hRvWzEKswzh4eG8Trp//vkH7du35+xX5lC4du0ajIyMOPubNWuG6tWrs97ztWvXUKNGDQQHBwMA9u3bxxgaxM5dNjY2uHXrFmf/zZs3eY0vYr9jMY7BZs2awd/fH/v370fHjh0hkUjg4uKCf/75B9nZ2UqPq1ixIlavXs3Zv2rVKjg6OnL2W1paIj4+nrM/Pj4eFhYWzG+JRAIPDw/GYKyhoQE3Nzfmt2xTRE5ODnr27AlNTU1IJBJG1uncuTPy8/M57YOCghAYGMgyKn78+BGBgYFo1qwZp/2xY8dQvXp1JCUlMd9BUlISatasyWLuTklJYbaTJ09CT08PW7ZsYe1PSUnheaLc+zlx4gRGjhypdN3Pz89HYGAgvL29MXDgQJWM9LJzDh48mKWE6ejoYOjQoUrXHD6kpKSgevXqnP179+6FtrY2M5/36NEDVapUgY6ODrPmrVy5EsOGDYOPjw+WL1/OHHv27FlIpVLMmDEDu3btgouLC+ceFOUtZSiJA3Lu3Lm8hnpFpKamIjc3F1WrVoWhoSF0dHRQqVKlYsepRCJhOV9kePbsmVLHlFCjvAwtWrTA2rVrARQ5bRwdHTFjxgxUr14d/v7+gs6hzIEqVukEgAEDBsDAwADt2rXDkCFDMHToUNamiJMnT8LU1BRSqRQRERHM/rFjx/LKjtHR0dDT08OkSZOY72vixInQ19dnnoM8ZGOyXr16GDt2LI4cOcJrsFQX6qxpQqCujCCPK1euoFOnTqhevTqqV6+OTp06KZVnxBibgaI1sUGDBrh9+7bKdgcOHICGhgaioqLw+vVrZv/r168xbNgwaGpqcoysYtdYscbjxMRE1K5dm+WUvnz5MurWrYs9e/Zwzi+RSETpgmLaCzEcL1y4kNMnMU7pBg0aYN++faxryPdn06ZNqFu3LtN3IZtUKkVsbCyzlijqA8XpB/b29oyOKRSKemXLli1Rp04daGho8DqlAeE2EUCYo+zhw4ccx8bx48fh4+ODWrVq8TqqAGHGvDZt2oh6Hqpw/PhxBAcHw8HBAQ4ODggODuYNwgOAcuXKMd/Cnj17ULZsWTx8+BATJkxA/fr1WW2VrWk3btzgOCFUBRooC+Y6dOgQAgMD8ezZs2Lv0c7OTmkAIlCk//MF0wFFRuqbN2/i5s2b+P79u8rrPHz4EGvWrEF4eDjKlCkDc3NztGzZEosXL+a0fffuHXx9fSGRSBjHjEQigZ+fH+9zE4KSrlcfPnxAYmIiLly4wPnfgQMHOO9JR0dHaUCQuoZXeQjVD2QQM+ZOnTqFiIgIGBkZwcDAAF27dlWqj8rD3Nycdz09e/YsTE1NOfsdHR2xadMmzv64uDilwW7F4T/aOP3t2zesWbMGtWrVKtYwqsrAY2trywgEDx8+hEQiwaFDh5j/p6Sk8CrOpUqVwpEjRzj7k5KSUKpUKeZ38+bNmWjhAwcOMApjccZp+UmgbNmysLCwYCYBeeOOEFy/fp3XGKFoQAoLC4NUKuUYkBQFDMUFXahxWh583h+gSFmJjY1F9+7dYW9vD319ffj5+WHq1KmctvXq1YOuri6qVauGYcOGITExkRN1BBR9bPJGkb59+7IWv5MnTzJeMEWIVXjEKjFaWlqwt7fH2LFjmahsoXj9+jXmzJkDZ2dnZvLx9/eHpqYm9PX11brn3bt3o23bttDT04O1tTWGDBnCG00pFoGBgSxF89atW9DU1ETPnj2xYMECWFtbY/LkyUqP37x5MxwdHRmBsFy5coyHWxELFy5EzZo1IZVKUbNmTSxevBhv3rxRem5134Hid6AMmZmZqFu3LjQ1NRkDgaamJnx9fQVHE6uKRp86dSrvop2dnc373YhtDwBHjhxB06ZNebNI+GBvb4+zZ88CAI4ePQpTU1McOXIEPXr0QJMmTZh2bm5urIjmmJgYmJmZ4dmzZygsLET37t15jWYdO3bEwYMHeQ1wfMjJyUG7du0YA56WlhY0NDQQERHBygopLgJUQ0MDM2bM4Jx/06ZN0NTURLt27ZjoxHbt2kFLSwtbtmzh7ZMYhRkoikAzMTFBs2bNMH36dEyfPh3BwcEwNTXF9OnTOZGRoaGhaNSoEV69esWc4+XLl/D29kbLli0553/z5g0aN24MiUQCbW1txpjXpEkTJiLjxIkTzLon9rtZs2YNGjduzPoW37x5g6ZNm/IafMV+x2Icg1ZWVozhXuaMiIuLK/YeVq5cCW1tbfTt2xdxcXGIi4tDnz59oKOjw3sPJiYmvMb1hw8fsqLXp0yZImhThoyMDBw8eBDbtm1TacxXXBdkUOZsdXNzUxrt7uLiovQ6QufGnJwcpKamYsqUKfDx8YGenh4qVaqEnj17Ii4uDhkZGZxjpk+fzjgTvL29BUdcZmVl4datW7h165ZaSs79+/eVZg08ffoUY8aMYcbamDFjeOdKKysr1jc+bNgwBAQEML8PHjzIcXJERkZi1apVovsrBgUFBQgMDISDg4PKb0cWqCB0nMocBlKpFH369GE5EQYPHow6depwlH4ZhBrlZXj8+DETafbjxw/06dMHHh4eaN26Na+CL9SBqi7ERHTKkJ+fz5Fhnz59qlReXrlyJcqVK8fIRRUqVOCN9JLhy5cv2Lt3L4YPH44aNWpAT08P9erVw7hx40T1UxnErmny+Pr1K/bs2cMJ+lFXRlAXQo3NMpiamjJrpa6urtJIWW9vb5VZr+PHj4e3tzdrn9g1VkggERGx+ifru/yar62tzRvlK1YXFNNejOFYHmKc0tbW1qx52dLSkvX74cOHMDY2LvY8ypCXl4eNGzfyRrAqw6ZNm9C2bVtRa5KiXhkZGYnRo0fz2iT4UFzQixBHWcuWLVnRnU+ePIGenh6aNm2KwYMHw9DQEIsWLeJcm8/BII9v375x1oSIiAheI/qPHz9Y/VPEihUroKmpiQ4dOjCycXh4OLS0tFhOYhl0dHSYjLlevXoxDtsnT54wNhRZ5o5UKmUFFFSrVg2enp4wMjJCWFgY67wSiQT29vaIiIhAXFwcb1aeIt6/fw8fHx9IpVIYGhqqjMDX1tZWec4XL16oNKa+ePGi2D6Jzbxp164datasyXK83L17FzVr1kSHDh1UXksRv379woIFC1C6dGlRx8lDnQA5dTJcxUCofqDOmJPhx48fiImJQaNGjSCRSODk5IQ5c+Yo1aU6dOgAb29vlpPzy5cv8Pb25r3G3LlzYWFhgZiYGDx79gzPnj1DdHQ0LCwsMGvWLJFPpAj/kcZpoWUx+MBn4NHU1MTLly+Z37q6uqzB8vr1a97IbKGpohoaGhg2bBhnABZnnJZIJChVqhRmzpyJmzdvClp4FVONEhMTsWrVKri5uSEwMJDTXqgBSaxAIiQNSl4I2bhxIyIiIlChQgUYGRkhICAAs2bNwtmzZ1mlKhRhZmYGCwsLhIeHY82aNUq953p6eizlxNPTk5XaqipVSazCIxYfPnzAsmXLmPShKlWqYN68eUoXitzcXOzcuRPBwcHQ0tJCjRo1sGrVKnz9+pVps3v3bhCR2vcMFAkIMTExaNKkCTQ0NODk5KTUcCkE1tbWLCP3uHHj4OXlxfzevn07byqqIrKyspQqaop4+PAhJk2aBCcnJ2hqaqJJkya8ipvYdyCDUAMMUFQ+58iRI5g3bx6WLVuG1NRUQccJgdj0MnXS0eQVsOIEJaBoHpWVjRk8eDB69+4NoOidyHtfZaUIZOjQoQN69erF/L5+/TonUjk3Nxd+fn6iUm9lePjwIbZv3479+/fzfr+yyE+JRILdu3ezoj7PnTvHMvTKw8XFhVfoXrBggUojnhioiobki4x8/vw5qlatCi0tLSZqREtLC9WqVVM5tu/fv8/M0w8ePFDaTux3I4u21NLSYqLLtbS0YGhoqDLyUuh3LMYxyLemCR1Pu3fvhpeXF8zNzWFubg4vLy+m7JAiZJG9ioiKikL//v0FXU8VxEbWmZmZMWu+PM6cOaP0O+Yz0ty8eVPl+iFkbvT19YW+vj7c3NzQv39/JCQksCIKlcHU1JRTGkMVxCq2sigi2Xbjxg0cPnwY3t7erDVLHejq6rIM7rVq1WJlQ8giieUdTbNmzYKlpSW6deuG+fPnF1uiAxDvgBwwYAB0dHQQGBiIbt26Kf12FL+b4iBzGkgkEtSvX5/lSGjatCl69+6t9LsTYpSXL2WSkZEhqkyFUPlXXYiJ6JTH+/fvcfr0aZw+fVpwhNn79++LjXqTx8ePH7Fz50506dJFrWzM34GwsDCmLEl2djacnJygpaUFTU1N7Ny5k2mnjowgn/FU3KYIocZmGYRGyhoZGalcTx88eMAJIhK7xgrR1SQSSbF9Vhbl+yeN02IMx4rOM6FOaV1dXZXv4P79+ywj3s+fP1WWGhk5ciSn1IiivskHmbFJthkZGcHQ0BDu7u7FZqH8TuTn5yMxMRGhoaG8/1PlKCtfvjwrwnL69OmoUqUK83v9+vWs3zLo6uoqdaD9+PEDXl5enExvdcvslStXjrf00fLly1G2bFnOfltbWxw5cgT5+fmwsbHBgQMHABRlrsv0FpkDViKRYMSIESyn7KxZsxAfH88KeAGKjP2TJ0+Gt7c3dHV1IZVK4ejoiN69eyMhIYHXmeHv788YEjds2KDy2yxbtqxKWfDUqVOcObKgoABTp05lMtSkUilMTEwwbdo03qxpsZk3YssK/vr1C2PGjEGNGjVQr149JnMjOjoaZcqUQfny5UVlUilCnQA5dbKBduzYgbCwMNSpU6fYb1mofqDOmONDWloaxo0bBxsbG2hpafEGu718+RIODg4wMTFhZDVTU1M4OzvzloItLCzEqFGjmHEtlUqhr69fInvRf4xx+neUxVAGdaOChaaKqlPvCSiqIVStWjVRkwFfulHp0qURHh7Oq/QJNSCpI5AISYWSb29nZ4dVq1apNEYrorCwEDdv3sSSJUvQunVrWFpaomzZsggPD2elNbq4uDA1rmWL2ZUrV5j/X7x4sUQeud+FJ0+eYMaMGXBzc4OGhgZvFJiFhQXMzMzQv39/pTWAv3z5Ai0trd92z3fv3kXVqlVLpMDo6OiwJjYvLy9WBOrTp0956xn9Lpw/f17QPQh5BzKIMU7/SShL9UlOToalpWWJ2wPiUxXLlCnDKP6VKlXC9u3bAXAVMEXPsb29PaKjo5nfT58+5TWCWVpaqmWcFgpZVJZQiK1FnJmZiR07duCff/7B/PnzsXv3bl5FuaQQwinwOyDkuxEaHawqQljod1wcpFIpU7YlMzMTRkZGuHnzZrGGCyGQV14HDRoEIyMjuLm5MSUf3N3dYWxszEpVV4aUlBQcPHiQNyMIYEfWCZGHunTpAjc3N1y4cAGFhYUoLCzE+fPn4e7ujm7dunHaN2zYkBU5DxSt902bNkWjRo2UXkfI3KipqQkbGxsMGjQIu3btYkpSFIfSpUuL+vbFKrbK6mzXq1ePt5SbDFlZWbh//z7HuC2PihUrMum3379/h7a2Nqve6NWrV2FpaSnaESX0npU5IA0NDRlFXBWUrR3FoXv37oK+J7FGeQ0NDeY+ld2zMgiVf2UQo3QC4vlHZM4SDQ0NZsxpamoiMjLyt5Tf2LVrFwYNGgQPDw9oaGjAysqKFQVXUogdc6VLl2auu2XLFjg6OiIrKwsrV65E1apVmXbqyAjFZUCpqoMvVtYRCn19fZVz4uPHj1VyLwhZY/9Elqs8FLkRDA0NWanwiucX016M4VjdOq+Ojo4sx4citm3bxqq1LaZGtQze3t68JVHkUVJZqLCwEJcvX8aOHTuwc+dOXLt2Tek8o6quc3F181VBfv4EAD8/P1Yd3/T0dF4j5I4dO6Crq8vhgPn+/Tu8vLzg5OTEBIGUpMweIJ6nZfLkyTAxMYGLiwtsbW0ZW050dDQnal++lIsYCOXX0NPTEzwvR0REoFGjRrwGyl+/fsHb25vjiB8zZgysrKywcuVKRlZZsWIFrKyslGbSiMm8EVtWcNSoUTAxMUGbNm1QpkwZaGpqolevXvDw8EBCQoLgLFllUDdATkw20JIlS2BoaIiBAwdCW1sbffr0QePGjWFiYsI8o5LoB+qOOXn8+PEDa9asgbm5udK1QNamf//+iIqKwsaNG4u1zX3//h2XLl3C7du3S9zHP0M5/ZsREhJCp06douDgYFq8eDEFBgaShoYGrV69+rdd48iRIwxDaGFhISUnJ9OdO3eIqIghlA/a2tq0ZMkSmj17Nj1+/JiIiCpWrMhhFK5bty7VrVuXFi9ezLC0Dh8+nAoLC+nYsWNkY2PDYWklIlq8eDFz/dOnT1NqaiqNHz+e7t69S9WqVaOzZ89yjlFkMy8OZmZm9OLFC7KxsaGkpCSaMWMGERWx2yoyoop5RmL7sXLlSkpJSaGpU6fS2LFjqUGDBuTj40Pe3t5Uo0YNpay6EomEPD09ydPTkwYNGkRXr16l5cuX05YtW2jbtm3Uq1cvIiLq1q0bDRgwgO7evUsnTpwgFxcXqlGjBnOec+fOkbu7u6g+K8O7d+9oxIgRlJycTO/fv+ewwatimq1QoQKNGTOGqlSpQhMnTqTU1FROm0WLFlFYWJhKNmlTU1OaNm1aie75169ftG/fPoqPj6ekpCQqXbo0jRw5UtWtq0Tp0qXp6dOnZGNjQ7m5uXTt2jWaOnUq8//v37+TlpYW77GfPn2iSZMm0cmTJ+n9+/ec8SXPTK2IS5cuUXx8PG3bto2+fftGYWFhKvsp5B0IwdKlS6l3796kq6tLS5cuVdl28ODBal3DzMyMJBIJSSQSqlSpEus7KSgooB8/flDfvn3Vbi+Pbt26iepb69atqWPHjuTk5ESfPn2ioKAgIiK6fv06OTo6Mu1cXV1p//79NHz4cLp79y49f/6cfH19mf9nZGRQ6dKlOefv3LkzRUdH05w5c5T2oSRs3/fv36cXL15QgwYNiIhoxYoVtG7dOqpcuTKtWLGCw9xtY2NDycnJrHsjIjp+/DjZ2Niw9m3evJkGDhxI3759Y+03MTGh1atXU/v27VX2VRH379+n6Ohomj9/Pud/EomEmjRpopRJ+3cxogv5biZPnqz0+IKCAtLQ0FD6f7HfcXEAQJUqVWL9rlatGuu3RCJRixn8+vXrrN+yeVcmJ1haWpKlpSXdvXuXaTN37lz68eMHTZ8+nbl+UFAQHT16lIiISpUqRcnJyeTm5sY69+vXr2nr1q2UkJBAc+bMIU9PT+rUqROFh4dT+fLlOX1bunQpdevWjerVq8fMt/n5+RQaGkpLlizhtI+JiaFWrVqRra0tM45fvHhBTk5OlJiYqPI5KFu3ZZDJNikpKTR37lwKDw+nSpUqMezv3t7eZGVlxTluyJAhtGzZsmLn1W/fvhGKgjDo+/fvrDWzoKCADh06RKVKleIcp8guLpVKycrKSuma++HDB4qIiKDDhw/z/l9+DIWFhdHQoUNp3LhxdOjQIbK2tqa6desy/79y5Qo5OzvTmTNnVN5bcZCNX0XcvHmTzM3NOfvNzc2pYsWKgs7dvXt3Dlu8IhRZ6Tds2EBEROnp6fT48WNq1KgR6enpcfq5aNEi1nGGhoaUmprKmU8kEgkNHjyYypYtS7t27aJmzZoRAHr58iX9+vWLt0+2tras32Lk36VLl9L48eOpe/futHfvXoqIiKDHjx/T5cuXacCAAbzXO3PmDJ08eZIOHz5Mbm5uHPlG8RkNHz6cUlNTaf/+/eTl5cWcY/DgwRQVFUWrVq1itRcra/bt25caNWpEvXv3Jm9vb/Lw8ODtt7pQvL4MOTk5pK2tzdn/9etXZiwmJSVRmzZtSF9fn4KDg1mypjoywsmTJ9W+D7GyDlHRs96zZw/dv3+fiIgqV65MLVq0IE3N/1Wz3dzcaO/evTRs2DDecyQmJnLmd3kIWWNl8p3iPmV4/vy5yvtS/GYAsL7/X79+Ud++fcnAwICIit61uu3Lly9Pd+7cIWdnZ96+3Lp1i1nTZPOJWDRr1owmTZpEwcHBnPn858+fNHXqVAoODmb2bdmyhUaNGsVqFx8fTw4ODkRUJMutWLGCJTv179+foqKi6OXLl1SjRg3mXmXw9PRUKQsVh5MnT1KPHj0oIyOD+eYkEglVqFCBYmJiqFGjRqz2Mr1dLHbu3Enbt2+n58+fU25uLut/165dI3Nzc3rz5g3Z2NhQYWEhXblyhfUccnNzeeeEtm3bUmZmJoWHh9PBgwfJx8eHsrKyKCgoiN69e0epqalUtmxZIirSZeV1FkVIJBKWHqmI0NBQ2rNnD0d33bt3LzVv3pzTfsqUKeTu7k4vXrygsLAwZtxqaGjQmDFjWG1PnDhBFSpU4Dzv4qCrq0t+fn7UoEED8vX1pcOHD9OaNWvowYMHrHYuLi708+dPQeecNm0a1axZk5ycnGjAgAHk4uJCAOj+/fu0cuVKysnJoU2bNrGO2bhxI61fv55CQ0OZfZ6enlSuXDnq378/zZw5k3MdU1NTCg0NJS8vL6pfvz7t3buXEhIS6OLFi5z2fn5+NGTIEEpISGDe56tXr2jYsGHk7+/POfeOHTsoLi6OQkND6c6dO+Tp6Un5+fl08+bNYmVJIfjy5QtrnUhNTWX0UiKiWrVq0YsXLzjH1ahRgzZv3izoGitXrqS1a9dSeHg4xcbG0qhRo8jBwYEmTZrE2CnU0Q9kUHfMERGdOnWKYmJiaNeuXSSVSqldu3bUo0cP3rYGBgbUu3dvUec3NDSkWrVqie4XH/4jjNOHDx+mwYMHU79+/cjJyemPXENRGOnTpw/rt6oPQ19fn0xNTZm/lcHAwIAiIyMpMjKSHj58yBhWxowZQ02aNKF9+/bxHldQUEB5eXmUk5NDv379opycHHr48KHAO1MNoQYkopI9o+LQt29fxih27949Sk1NpZSUFJo3bx7l5OSQl5cX+fr60ogRI1jHXbt2jVJSUiglJYXOnDlD379/Jw8PDxo0aBB5e3sz7UaNGkXZ2dm0e/dusra2ph07drDOc/bsWQoPD2d+m5ub06NHj8jS0pIx6CmDomG0e/fu9Pz5c5o4cSKVKVNG8HM5e/YsbdmyhXbu3Em/fv2iFi1a0OzZszntunTpwvqdkZFBWVlZ5OLiQlKpVO17luHIkSMUHx9PiYmJpKmpSW3btqWjR4+qnAw3bdpEq1evpqdPn9L58+fJzs6OFi9eTBUqVKAWLVoQUZFQOGbMGJo7dy4lJiaSvr4+NWzYkDnHrVu3lCrHXbp0ofT0dOrRoweVLl262Gf66NEj2rJlCyUkJNDTp0/Jz8+P5s6dS61btyZDQ0OlxxX3DhSNd7m5uTRz5kyO8Ldw4UJatGgRderUiXR1dTkKtzxkSrY6WLx4MQGgyMhImjp1Kqsf2traZG9vT/Xq1VO7vTL8+vWLI6waGxuzfi9atIjs7e3pxYsXNG/ePOa5v3nzhvr378+0GzVqFHXo0IEOHjxId+/epWbNmlGFChWY/x86dIhq167N6UN+fj7FxMTQ8ePHeRWAhQsX0vXr1ykvL4+IuAKBPPjG08iRI2nu3LlERHT79m0aPnw4RUVF0cmTJ2n48OEc5SgqKooGDx5MN27coPr16xNR0XiKjY1lGf2uXbtGERER1KlTJxo2bBgjRN67d48WL15MXbp0IRcXF6pSpYrS/hIRZWVl0datWyk6OpouXLhAlStXpvnz54t2ipTkGckgdO7iw6NHjyg6Opri4uLozZs3nP8V9x1Xr16dkpOTyczMjKpVq6ayn9euXWP+FmO8ELseqGMY2bZtG40ePZr5vXPnTjp16hSdPn2aXF1dqWvXrjR16lTavn076zhLS0saOHAgDRw4kJ4+fUrx8fG0ceNGGjt2LDVq1IhOnDjBam9qakp79+6ltLQ0RhlydXXlrPcyODo60q1bt+jYsWOs9o0bN2Y9h9atW7OOUzRCyCBvkDMwMKDAwEAKDAwkoiIHpcygN2/ePOrUqRM5OTkxTnAZLl26RCdOnKADBw6oNPqpq9ja2dnxPgtlGDp0KGVmZtLFixfJx8eH9uzZQ+/evaMZM2bQggULWG0nTZpEr169osGDB5O1tTVt3ryZ5ZRJSEigkJAQldfLz8+nX79+8a5l6jogp0yZQpMnT6YNGzaolGOJiIyMjEhPT09lG0V8/vyZwsLC6OTJkySRSCgtLY0cHByoR48eZGZmxjwnRcdAcZgwYQINGjSIBg4cSBKJhFc5UuZoEiP/ClE6FWFqakqtWrUSfC+7du2inTt3ko+PD7OvWbNmpKenR+3ateMYp8XKmu/fvxfcF6Iig7GhoWGxDlrZOiORSGj9+vWscVlQUECnTp0iFxcXzvltbGzo/PnzZG5uTklJSbR161YiKjIiyBsO1ZERlixZQrGxsWRsbExxcXHUvn37Yh0q8hBibJbh7t27FBoaSm/fvmUMq3PnziUrKyvav38/EwQyYMAA6tevH+no6FDv3r2Zc+Xn59OaNWtowoQJtHLlSt7+CF1jxRqP7e3tVY4bxW9GUQ/s3Lkz55iuXbuq1V6s4Vj+fwCYeSsjI4P27NlDlStXpqZNm7Lajhs3jrZv307Ozs40cOBAZl14+PAhLV++nPLz82ncuHFM+/T0dJYTR1dXl6Vn1a5dm+Oc6tChAxGxg04kEokgh/evX79o27ZtlJWVRU2aNOHYPNLT06l58+ZUp04dWrRoEUt+XLp0KTVr1oxu3brFGM+J1DPkC3HG+fj40PTp02nlypW0Y8cOKiwsZM1d9+7dI3t7e97z9+zZkz5//kwtWrSgvXv30qRJk+j169cswzRRkZwGgPz8/GjXrl0sx6q2tjbZ2dmx2sv6LkPlypVp5syZlJKSwug2Fy5coLNnz1JUVBSnX8rmivDwcGZ+kuHr16/UuHFjsrOzo4iICOrWrRuVK1dO6TPNzc2lCxcu0MmTJyklJYUuXrxINjY21KhRI1q+fDnLZkFENGfOHIqKiqKZM2eSh4cHR86R17nKly9P58+fp/79+9PYsWNZTosmTZrQ8uXLOUEynz9/5p2XXVxceNe03bt3M/aWe/fukbm5OTVo0IAWLFjA6TsR0fLlyyk0NJTs7e1ZgQ3u7u68xl6ZM4eIyN3dnXR0dGjYsGG/xTBNpH6AnJi14Pnz54z+p6enR9+/fyeiIhtG3bp1afny5SVynIodc69fv6bY2FiKjY2l9PR0ql+/Pi1dupTatWvHkc0Vce/ePV7HlLwzQ4YrV64odWQpOuEFoURx138J6pbF+NPIy8vDhAkTWPV6jI2NMX78eMGlKVSRnMmn31laWqJ169ZYsmSJ0vrTjx49ws6dO5mUqQMHDqBhw4aoWbMmZsyYwXtMbm4u/vnnHwwePJiVprBw4UKsW7dO6KP4Y3j16hXGjx/PPGNFaGhooGbNmoiKisK+fftYBdxLgpIwLytLZVGG0aNHw97eHtra2ggODkZ8fDxvCmd0dDQnfaxXr17M2HN1deWtByQWenp6aNeuHRITEwWN45UrV8LS0hIzZsyAnp4ek0K4YcMG+Pj4MO0+fPiAhg0bQiKRwMjIiFOvyc/PT2kqkaGhoai0U4lEgtq1a2Px4sWCiEmEvgP5epnKNlVlQP4UUlJSRJXDSUlJQV5enqhr/PjxAwMGDICVlRVvimxJcPz4cQwdOhRz5szhPPcpU6bg5MmTnGP+9DswMDBg6h1OnjyZIRO9evWq0nI4QmoRd+/eHW3btlV63TZt2qgkeDlz5gwiIiJgYGAAqVSKqKgoVqkBe3t7pjyCOuUAxEDod6OIrKwsxMTEoEGDBtDQ0ECdOnVYdXdlEPIdT5kyhbmmuqVClOHTp08A2OsBX+2/35HybWpqyiKO6d69O7p06cL8Pn/+PMqXL1/sefLz87F///7fUvpEDNRJsVZEQUEBLly4gNmzZ6Np06bQ19fnvQeh11Cnfvy3b99w5coVpn7v1atX0aVLF7Rt2xabN2/m7be1tTUuXrwIoKiurKzO8N69e0tUo3rfvn2c2tozZsyAjo4ONDQ00KRJE065l9jYWGzYsAESiQRLlixhjc34+HheFnagqAaqkLqnYmtOy9ClSxcEBATgxYsXrFIDSUlJnHRmZcjPz8f169c59/zt2zfcvn0bEokEycnJuHHjBu+mCDHyr3wdWSsrK+Z8jx49grm5ufAHoQJ6enqsOUCGO3fu8JZ7ECtrAkXPcOfOnQyh7q5du5SmS7u7uzOEjrdu3YKOjg7Gjh2LunXrsr4z2ZoikUhgY2PDWmcqVaqEpk2b4sKFC5zzy8jKTE1NUaVKFabO6dKlS1myIyBeRtDS0mJKGYot93Lnzh04ODhAX1+fGf8GBgawt7fnrb9ft25dhISEsMbl58+fERoainr16rHaRkVFQSKRwNjYGNWqVUPVqlUZ/Wbo0KGcc4tdY8XOw4rfyOXLl7F27VpWKcS/hbdv38La2hq2traYN28eEhMTkZiYiLlz58LGxgZlypThlQOaNGnC1Kb/8uULSpUqhfLly0NXVxcrV67ktH/y5AkCAgJYpZukUikCAgI4ZVfE1qgGwJCCKdtkGDZsGCt1PycnB1WqVIGWlhZMTExgYGDA4YcYMGAA/Pz8ePtSWFgIPz8/QeXCioOzszPi4+MBsEvDTJw4EQMGDABQVE5HRlKvqanJedYtWrTgHdPyGD16NKRSKRwcHFTqr8+ePeOtg8yHkpTEElua6P3791iwYAE8PT2hqamJwMBA7Nixg6OPqcOvIT82hZQjkuHz58+4ePEiLl68yMiwfKhduzYGDRrE2T9w4EDUqVOHs9/Kygpt2rTBsmXLeEm1+SCmrGBxJYBKir59+6JevXo4deoUhg8fDgsLC1YZlM2bN6NmzZqsY8SuBRUqVGBkiRo1ajAk6UeOHOHlK1AHQsdcYGAgNDU1YW1tjVGjRqmcx+Tx+PFjeHp6csrbKdP1ExISoKWlhebNm0NbWxvNmzdHpUqVYGJiUqzMrwz/EcZpGX78+IHo6Gh4eXlBS0sLUqkUixcv5iW6+Rvo27cvSpUqhdWrVzP1elavXg1ra2v07du3xOdv27Ytli1bJogxevfu3dDU1IS2tjZ0dHSwceNG6OrqIjAwEMHBwdDU1CxRIfm/hXfv3mHr1q3o27cvXFxcmDre3t7evMYFdWqCfvnyBevWrcOYMWOYifvq1assUsySwNXVVTA7OQDUr18fK1aswIcPH1S2q1OnDmJiYpjfhw8fhqamJjZv3oyrV6+iXr166NGjB++xQu85Ly8PS5cuVcriygdXV1emvpq8EHP79m1YWFhw2mdmZvIqQ58+fVJa0L9mzZo4f/68oP7k5+dj7dq1Smu08kHoO1AXYknLACAuLg7169dHmTJlGIF20aJFSonXZPj582exdXOvXr3KEi4SExPRokULjB07Vuk76N+/P1xdXbFz507o6ekhJiYG06dPR/ny5Rmjzd69e5kFsjhC1L+NTZs2iarbaWZmxjg/vby8sGbNGgBFArmenp7a/XByclIpoB07dgxOTk6sfe/evcPcuXPh7OwMa2trDBs2DJcvX/7jDtqvX79iz549Suvsiv1uzp8/jx49esDY2Bju7u7Q0NDAqVOneNuq8x3/Lhw5cgRhYWEqCf/E4PLlyxg5ciTat2+vtM6jYm1QZ2dnFhlccQS2Z86cQb9+/WBlZQUjIyN07twZhw8fBsCucVfcJkNQUBDL2Tt79mx8+fKF+f3x40dBBLaqUFBQgIsXL2Lu3LkIDAyEkZERpFIpbGxs0LVrV2zYsIFDLJWXl4eNGzeKWqOEKrapqakwMjKCRCKBubk5jhw5AiMjI7i4uMDNzQ1SqZTFZSGDkZER48iytbVlakg/efKkRHOFj48Pli9fzvw+e/YspFIpZsyYgV27dsHFxYWXTAcQ77AU6tgRa+iTQb6+sPxYf/z4MW/tT6CId2X9+vUAiuYDGSmcgYEBr8Pyd9RjVIa/oXT6+fkhLCyMRbCWnZ2NsLAw+Pv7c9qLlTXT0tLg5OTEUrT19fXh7OyM9PR0TnuxDlofHx/R8/Xly5exe/duFpnjgQMHWHXY1YGHhwe6deuG2NhYSCQSLFu2DBs3buTdFCHG2AwUGTDv3LnD2X/79m3eOfv8+fMYPHgwgoKCEBQUhCFDhiiVb/+0bKoMBw4cgLe391+9JiDOcCyDhYUF8/zXrVsHT09PFBQUYPv27SrJqD99+lSsEU9sjWoxcHNzY8nCMTExMDMzY/hOunfvjmbNmnGO2bdvn9Jz7tu3D25ubmr1Rx5CnXF5eXm4ceMGr6P3xo0bvDwSijKQjo4OateuLagGthBeh5JAGafCjRs3ip3nr169ioEDB0JXVxeWlpYYOnQoUytfHX4NeWc631ZSpKSkwMDAAK6uroiMjERkZCRcXV1haGioVC4vDmZmZsxcpYyIWhkkEgmaNWvGvH9NTU00bdq0xLXRZVAnQE7sWtCjRw9GXlq+fDn09PTQuHFjmJqaIjIykrdfQvQDZVA15kJCQpCYmCi6Vnfz5s3RokULfPjwAYaGhrh37x5Onz6N2rVr844LDw8PRk6VyXaFhYXo1asXJk2aJOraMvxHGafl8eDBA4wcORLW1tbQ1dXljTz+0zA2NsahQ4c4+w8ePMgwCv8t1KhRA+PGjUNhYSFiYmKgp6eHRYsWMf9fs2aN0kX60aNHWLNmDaZPn46pU6eytr+Ffv36wdXVFVKpFNra2mjQoAEmTJiA5ORkDhOyIsQYm2/evAlLS0s4OjpCU1OTEXbGjx/PilJTRH5+Pnbs2MGwte7cuVNp5OmRI0fQtGlTFsu0MuTm5iIiIkKQd9Dc3JxlUOzbty+jLABFbMD29vac48TesxCmaXno6uoy7eWVzkePHv02486lS5fg5+eHlJQUfPz4sVjjq46OjmCPq5h3oC7kScv4lBhFCI1GlyErK0tUVHPNmjUZgfvx48fQ0dFBeHg4HB0dMWTIEN4+2djYMAYBIyMjhmQkLi4OQUFBANhRdULJUOVx6tQpdOrUCXXr1mW+37i4OJXG/bS0NCQlJSE7OxsAlJLCWFpawsDAAOHh4Th48GCxC3ZISAjD0KylpcX058iRIxzjsRgYGBggIyND6f8zMjI4UXK6urro3LkzkpKSWEa24ozTU6dO5TXIZ2dn887vYWFhDLN5dnY2nJycoKWlBU1NTY6CJua7mT9/PipXroxy5cphxIgRjKJTXP/FfMclxbNnzzBp0iTY2dnB2NgY7du3Z0g85SE2skZoVEGVKlWYKNmMjAxIJBLWszl79izKlSvHOf+YMWOKjawTkvGhmHGgeJ9GRka/lVhLdk6pVIqyZcuiU6dOWL9+Pa+RTBFi1yigSE44cuQINm3apNQ41bBhQ0RGRuLly5eYNm0aTE1NMXbsWOb/06dPR5UqVTjnrlmzJkNyGBISgi5duuDly5cYNWoUHBwcRPVTHlZWVizj47BhwxAQEMD8PnjwIBwdHYs9T3EOy7y8PEydOhUvXrwo9lzqRk4bGhoySpO8nHD58mWlkcflypVjCIz27NmDsmXL4uHDh5gwYQLq168vug98iIuLg5eXV7FOYHWUzqpVq3Ii0KtVq4bq1aujfv366Nq1K06cOMG0v337NsqWLQsLCwv4+fnBz88PFhYWKFeuHK/cIEbWBIocToGBgSxD3MePHxEYGMgxggF/zkFbEgiVEc6ePYs6derA0tISUqkUJiYmMDU15Wx8BiexxmZPT08kJydz9icnJ8Pd3V3dW/0rsqkypKWlqSRn/NMQYjiWQU9Pj5GpwsLCmO/0+fPnJR6ngwcPRuXKlXn10OzsbFSuXBmDBw/m/C89PR0DBw6Ev78//P39MWjQIM7aJi9HA0CHDh3Qq1cv5vf169c5ZH/yjlA+PHny5LcQy/9JZ5w6WVbv379HcHCwUnLTkkI2V0ulUnh4eLDma09PTxgZGSEsLEzp8a9fv8acOXPg7OwMAwMDdO3aFf7+/tDU1MTChQvx48cPHD58GKNHj0bt2rWhra0Nd3d3DBgwADt27FCLZPh34NWrVxg3bhxat26N1q1bY/z48byOBhnS09Mxfvx4dOjQgZEDDh06xMyXBgYGzNquGAldHH5H9p0QiAmQE7sWFBQUsGxDCQkJGDRoEJYuXcob+FWSqOPixpy6sLCwYBw+xsbGTMR1cnIyi6hYBn19fWZOkrdT3bt3D9bW1mr14T/WOC2DqrIYfxpWVla8KXj37t2DpaXlb7mG0OhJQ0NDZuErKCiAhoYGK+JamTC5du1aaGhooHTp0qhSpQqqVq3KbMoYyP8E6tati7Fjx+Lo0aOiohvFGl79/f0xcuRIAGwF6ezZs7Czs+O9hti0DlNTU2hra0MqlcLQ0BBmZmasTRHGxsaChE9FhdzT05NhrAeUR9aJvWchTNPycHV1Zcaj/PmXLl3628bQo0ePULNmTcHpTTVq1MDx48cFn1/oO1AXHz58wLJly5jIrypVqmDevHlKjQFio9GFRDXLw9jYmJkv5syZg6ZNmwIoir5UVjpA3qharlw5Jo39yZMnSiPfxEDW9549e0JHR4e552XLljHGb3l8/PgRfn5+zBiQtY+IiMDw4cM57fPy8rB//3507NgRBgYGsLKyQv/+/TlpkzJkZGQgODgYnp6eTPQeAAwdOpRJhZMpt0I2GYoz7vAZ/ZydnWFvb49x48axopiLM+6KNaTKRzdu2bIFjo6OyMrKwsqVK3mFEqHfjYaGBsaNG8cRCIvrv5DvWJ13IENOTg4SEhLg7+8PXV1dNG/eHBoaGipTFpW9v1evXvHOv0KjCtauXQsDAwNERkaicuXKHOPb9OnT0bx5c875/1RkneJ9KkZ2/w7j9OrVq5kSGGIgdo3at28fExGtaKSSHxcmJibM95WTkwOpVMoqB5GWlsar+G/atIlxLFy5coUxiOnq6mLr1q2i708GXV1dliOrVq1arPI3z549U2pAEuuwNDQ0FGTkVKckFFBkGJ0wYQJzrSdPnqCgoABhYWEsJ7s8dHR0mDWyV69ejOP0yZMnMDIyAsCO1CpuLlCEGCewWKUTKHIcmZiYoEGDBhg+fDiGDx+Ohg0bwsTEBEOGDEGTJk0glUpZ8nxWVhbWrl3LtF+3bh3jeFWEWFlTX1+fd267ceMG7xou1kHbunVr3gzNuXPn8payioiIULkpQqyMIINYh4pYY/PBgwfh5uaGHTt24MWLF3jx4gV27NgBDw8PHDx4kOMUcnR0xOTJkxlnjSr8adlU0WmVmZmJ+/fvo3379ryOuH8jPDw8sGTJEjx//hzGxsZM6aIrV64oLcEmFOqUGklKSoK2tjZq167NZCTVrl0bOjo6OHr0KNPOxMSENQbs7e0RHR3N/H769ClHplBHflQH6jjj/iQ6duwILy8vXL58GQYGBjh69Cg2bdoEZ2dnHDhwQOlxhYWF2L59O/r164c2bdoojUyVZQhJJBKMGDGClTU0a9YsxMfHc+b53Nxc7Ny5E8HBwdDS0kKNGjWwatUqlvN39+7dMDU15fTr27dvOHToEEaOHIlatWpBW1ubE/GempqqcvtTePHiBctJIkNKSgozDrS1tZn5d/bs2cwa3rhxY3h4eKB79+6QSCTo0KGD4Pn93wixa0FGRgZvgFRhYSFvUJLYqOOSjDmhMDU1ZdYcBwcHxoGenp7Oa0csV64cI1d4eHgw5YDOnTundqDufwQhoipoaGhQy5YtqWXLln/92gMHDqTp06fThg0bmOL5OTk5NHPmTBo4cGCJz79q1SqaNGkSDR06lGbOnMmQKJiamtLixYsZojmiInIsIyMjIipiltfT02OR2ujp6XGIMIiIZsyYQTNnzmQRMf0pqCJ6OH/+vFrnHD58OEVERNC8efOY+ycqItbo2LEjp/3ly5dpzZo1nP3lypWjt2/f8l6jZ8+e5ObmRleuXGEIYL58+ULdu3en3r1707lz51jtFy9eLOoeWrZsSYmJiUoZvGWws7Ojq1evkp2dHX38+JHu3r3LMLoTEb19+5aXlVnsPQthmpbH8OHDacCAAfTr1y8CQJcuXaKEhASaPXs2rV+/XuU9CUWnTp1IS0uL4uPjBREizpgxg0aMGEHTp0/nvQdF8j6h70BdiCUte/r0KVWrVo1zHh0dHcrKyuLs379/P8XFxZGPjw9FRERQw4YNydHRkezs7GjLli3UqVMnVnsAVFhYSEREx48fZ1irbWxs6OPHj7z34ODgQE+fPiVbW1tycXGh7du3U+3atWn//v0MIWxJMGPGDFq9ejV17dqVRTzi5eVFM2bM4LQfNmwYaWlp0fPnz8nV1ZXZ3759exo+fDiHiExTU5OaN29OzZs3p+zsbNqzZw/Fx8eTr68vlS9fnmFKlsHW1pYOHDjAua48uaXYb12GI0eOKGVQz8zM5Ox78OABnT17lqKjo6lWrVpUqVIlhlhI1beA/yHgUcTNmzdZxDIyfP36ldmflJREbdq0IX19fQoODuawnRMJ/25k6+SmTZsoPDycunTpwpBEqYKQ71jddzBo0CBKSEggJycn6ty5M23bto0sLCxIS0uLRVAng7qkX48fP2ZInLS1tSkrK4skEgkNGzaM/Pz8GEKWXr16kYaGBu3fv58aNWpEkydPZp3n9evXFBkZyTn/2bNnBd1vQUEB3b17l5ycnDhkdj9//qS0tDRyd3dnkT39aSiSKguF2DUqKiqKIiMjadasWSrJ/r59+8aMf21tbdLX12fJFUZGRpSdnc05Tp7kq0aNGpSRkUEPHjwgW1tbsrS0VOseiYrW6Pv375OtrS39+PGDbt68yZp/Pn36pPR+Ro4cSSdPnqRVq1ZRly5daMWKFfTq1Stas2YNzZkzh9Pez8+PUlNTlRJYEf3vN3Dz5s1i+65I8jtv3jzy9/enK1euUG5uLo0aNYru3r1Lnz9/VjqGS5cuTffu3aMyZcpQUlISQwiYnZ3NfKOLFi1i3tGiRYtEkSctW7aM1q1bRy1btmQ9k5o1a3LIt6VSKevb6NChA0N8pgwfP36kqKgomjhxImv/jBkzKCMjg44ePUqTJ0+m6dOnM/K8vr4+9erVS1D/xc59Ojo6DEGTPH78+EHa2tqc/cuXL6f+/fvTzp07adWqVQzx0uHDhxkSU3mcOnWKpkyZwtkfFBTEWY+JiuRoeeTl5dGdO3coMzOT/Pz8OO3FyggyPH36lKysrJT+XxGzZ8+mwYMH05QpU6hu3bpEVESiNm3aNJo7dy59+/aNaWtsbMzIT+3atWPGH/6HkExGbgo5Mrz+/ftTfHw8TZs2jWrUqEGdO3em9u3bk7W1Nacvf1o2lZHGygMA2djYcAjg/q2YNGkSdezYkYYNG0b+/v4M8d3Ro0d55WgxKF26NJ07d4769etHY8aM4RDNrVy5kkqXLs06ZsyYMTRs2DDOPDtmzBgaPXo0NWnShIiKiIX3799Pw4cPp7t379Lz58/J19eXaZ+RkcE5N1ERUZkyfVWZ/C4Wa9euZXSEAQMGkIWFBZ07d45CQ0PVXrdLghMnTtDevXupZs2aJJVKyc7Ojpo0aULGxsY0e/ZsXqJMoiKy4jVr1pCvr69K3VEmb9nb21P79u05hJx8KFOmDBUWFlJ4eDhdunSJqlatymnj6+vLqx8ZGBiQubk5mZubk5mZGWlqajKEezLIk0vKoEhw/Cfw6dMnio6OprVr17L2jxkzhmbMmEHDhw9nyUV+fn60fPlyIiLavHkzLVq0iNGnvn79Sr9+/foj/fxTkJ/fi1sLFFGhQgV68+YNlSpVirX/8+fPVKFCBc47E6ofyFCSMScU7u7udPPmTapQoQLVqVOH5s2bR9ra2rR27VoW0aoMjRo1omPHjpGHhweFhYXRkCFD6MSJE3Ts2DHy9/dXrxNqmbT/fwxFr5uRkREsLS2Z1B1LS0sYGxuXqC6ODGKiJxXTJ4yMjFjedmXeVMVU3d8FPqKHqlWrsogelBHziIF8BKj8M3r27BmHpAJgp8nKtz969KjSiFGxaR1iMX36dJiamqJNmzaYNWsWlixZwtpkmD17NqytrTFt2jT4+PhwvKyLFi3irUso9p6VlWFQVY5h8+bNDDGGRCJBuXLlWNGmJYWenp7gYv4AOH0vLtJa6Dv4XSiOtExsNLrYqGZfX1907doVcXFx0NLSYlILU1JSlGYQLFy4kHkWx44dg66uLnR0dJja/4pQfIaybenSpVi7di1OnDjBiqTV09NjIvcUa5Lyfcvq1DCVhyyaXVZLlg+K5FG7d+8WXb9LEarKnRRX9gQAvn//jrVr16JevXqQSCTw8fHB2rVrWfO/LIJQKpVyogll5Ev9+/fnnNvJyQnbtm3Djx8/YGVlxUQM3LhxgzdiX+x3k5KSgq5du0JfXx+enp7Q0NBQWVtU7HcsBrJobsWaeMqiudUl/foTUQWKEJJCvGHDBtSoUYN3/Obl5aFGjRrYtGkTs684cprfFaGlDsSuUfr6+oLkHHXlqD+FMWPGwMXFBXFxcejQoQNsbW1Z72/NmjVKCReFlGGSx6pVq2BtbY2oqCjEx8fzcgQoEkoZGBhAIpEwc4usHrQystXMzEzMmDEDYWFhCAoKwvjx41WSQk2ePBkmJiZwcXGBra0tU086OjoadevWLf4BFgOxJcnElp0yNjZmpe3LkJaWxnz79+/fZ0XjP3jwgCE98/Pzw4ABA5TW/BeK1NRU5ObmokuXLnBzc8OFCxdQWFiIwsJCnD9/Hu7u7ujWrVuJrgEoJ4+7f/++YFm5oKAAvXv3xty5czn/EysjKEJovVq+dYfvt2wuKK42rLI6sQ8fPsSkSZPg5OQETU1NNGnShFMD+0/Lpor9O3XqFO7fv69WdsT/Jd68eYNr166xyp5dvHixxN+OPISWGtHR0eGNin/48CFrnO7evRva2trw8/ND6dKlOZlRo0aN4pSSUCQpE6On/SdDXV4HMzMzhtRVDHJycvDixQtkZGSwNnnExcUVW3ZUBnX4NTIzM1nbhw8fcPToUdSpU0dUZrBY3Lhxg3cMGRgYMPKQ/Pz79OlT3vlXnpz9Pwl8+oaytYDvWL5SJsqy3MTqB2LGnLpISkpiyHDT0tLg7OwMiUQCS0tL3ijyT58+MaVgCgoKMHv2bISEhGD48OFqcwb9x0dO/04AoKtXr9KzZ89IIpFQhQoVqFq1aixPlWK0W5s2bVi/bWxsflt/xERPAqBKlSoxff3x4wdVq1aNifTA/3h7FREWFkZHjx6lvn37iu6fqkjoo0eP0qxZs5jfW7ZsoYyMDEpLSyNbW1uKjIykGTNm0MGDB0VfVx46OjosL5cMjx494o2UCA0NpWnTptH27duJqMgL+fz5cxo9ejTnXcpQqVIlevfuHbm5ubH2v3//nhwdHTntnz9/rrLPtra2rN/R0dFkampKV69epatXr7L+J5FImAikUaNGUXZ2Nu3evZusra1px44drLZnz56l8PDwEt/z06dPVfZfHvn5+RQfH08BAQHUqVMnys7Oph8/fnC8hiVFzZo16cWLF+Ts7Cyo/cmTJ0WdX+g7kCEvL4+0tLR4z/Xx40el0XJnz56lLVu20M6dO+nXr1/UokULmj17Nqed2Gh0sVHNixcvpk6dOlFiYiKNHz+eGcc7d+6k+vXr8/ZdPnKncePG9ODBA7p69So5OjpyIhWJiqLYPnz4QNnZ2ayMA319fTI0NKT379+Tg4MDnTx5kmxsbMja2prS09M5kXtnzpzh9dZmZWXxRg1+/vyZyWRRhCxiesuWLZScnEw2NjYUHh5OO3fu5LRNT0+nZs2a0atXr5hxN3v2bLKxsaGDBw9SxYoVOccUFBTQnj17mAiIypUrU4sWLUhT83+XWlk0irowNDSkXr16Ua9evej+/fsUHR1NEyZMoP79+1NeXh4RFb1fABQZGUlTp05lrVva2tpkb2/PRBfJY+jQodSpUycyNDQkOzs7JnLj1KlT5OHhwWkv9rvx9vYmb29vWr58OcXHx1NMTAx5e3tT7dq1qW3btjR8+HBWe7HfMVFRJMKGDRvo8ePHtGTJEipVqhQdPnyYbG1tWXP4pk2bKCYmhsqUKUPBwcHUpUsXCgoKUnpe2bzo6+tLu3fvZsZ0cRASVZCVlcWJ/lUF+fZHjhyh0NBQqlq1KpNJc/bsWXJzc6P9+/czUVrR0dE0YsQI3qhwTU1NGjVqFC1fvpyJAgZA3bt3Z76lX79+Ud++fZnr8mViERVFnShmpsiQnp7Ou2aKhZg1iogoICCArly5wjuPyAMA+fv7M99rdnY2hYSEMFGl+fn5vMcVFBRQbGwsJScn0/v37znfuCwzRhZ5LASDBw+mSZMm0atXr2jw4MFkbW1NmzdvZr2/hIQEJjJTEZ8/f2bu19jYmD5//kxERA0aNKB+/fpx2vfv35+IiBYuXMj5nyziU/65x8fH08qVKyk6OpqZHx8+fEi9evVSGllnYmJC48ePF3L7REQ0ZcoUcnd3pxcvXlBYWBgzFjU0NGjMmDGc9hoaGrxRS58+faJSpUpxopYqVKhAN27cIDs7O9b+pKQkVjYOEdGuXbuoS5cu1KlTJ7p+/Toz/r9+/UqzZs2iQ4cOcfqjq6tL586d44z5c+fOMZF5hYWFzN+7du2iDh06UM2aNZn5+cKFC+Th4UFbt25VKqMSFX2fubm5rH2y79DX15fevHlDS5cupW7dulG9evUY+SU/P59CQ0NpyZIlvOctKCigxMREZk1zc3Oj0NBQ3nnEw8ODtm3bRpMmTWLt37p1K1WuXFlp3+UhlUpp+PDh5OPjQ6NGjWL9T6yMIMOHDx8oIiKCDh8+zPt/xXEhdt3x9vYW1V6GSpUq0dSpU2nq1Kl04cIF6tevH0VERFDXrl2ZNmLXWDH49u0b5ebmUm5uLtWuXVtUdPm/DdbW1pzI89q1a//Wa5ibmws6p5WVFd24cYOlExMR3bhxgzU3tWrVig4dOkQHDhygpk2b0qBBg1jt9fX1mXlZBrFrX0nw5csXio6OZsmzERERvFl3fxrOzs708OFDsre3pypVqtCaNWvI3t6eVq9eTWXKlFF6nImJSbHrvjzS0tIoMjKSkxENucwHGbp06SL4vKamppSVlUXW1tbk6+tLixYtIh8fH149Qr7vimjSpAlpa2vT8OHDOfPBn4apqSm9efOGKlSowNp//fp1JqtGHlOnTmVlGMqQm5tLW7duZc1z/yaoo3fIdBeJREITJ05k6aYFBQV08eJF3ihnsVHHYsacuggICGD+dnR0pAcPHtDnz5/JzMyMN/NAfj6QSqW8splYSKDMavn/M5w8eZJ69OhBGRkZrLSdChUqUExMDDVq1Oiv96ly5co0e/ZsatGiBRkZGdHNmzfJwcGBli1bRhs2bKBr164xbTdu3CjonN26dWP9nj17Ni1cuJCCg4PJw8ODY3CTCT7Dhw+nvLw8WrZsGREVTS516tShu3fvkr6+PuXn59OxY8cYgdrY2JiuXbvGCOXh4eFkZGTEpIncuHGDmjVrRq9fv1bjyfwvevbsSZ8+faLt27eTubk53bp1iyn10qhRI07a49evX6lt27Z05coV+v79O5UtW5bevn1L9erVo0OHDvEaCA4dOkSjRo3iTeuYM2cONWjQgGlrbGxMUqlUZWrpn0rFUQZ17lkM9PX16f79+xwFTxk2btxIlpaWTCrLqFGjaO3atVS5cmVKSEjgPc+OHTtoypQpNHLkSN5xymcc/ZNo06YN7dy5k/Oe3717R/7+/nTnzh3W/jFjxtC2bdvo9evX1KRJE+rUqRO1aNFCZYr5li1baMqUKUx6VNmyZWnq1KnUo0cPTttFixaRhoYGDR48mI4fP04hISEEgPLy8mjhwoU0ZMgQQff169cv0tDQ4DW8x8XFUfv27TmGX2WCRkJCAq1du5bWr1/PCGDp6enUp08f6t27N3l5eVGHDh3I2tqadu7cSbNnz6bNmzdTTEwMNWnShA4dOkQZGRk0bNgwmjhxIkdwb9asGdWoUYOmT59ORkZGdOvWLbKzs6MOHTpQYWEhx+DcoUMHOnDgAOnr61O7du2oU6dOvAZa+fMDoC1btjCL76dPn6hz584klUo5jrW7d+9SaGgovX37ljHWyJxk+/fvF1TGQl3k5+fTvn37qHXr1qz9qamp5OXlxTKOF4crV67QixcvqEmTJoxgefDgQTI1NWWVEfpduH37NkVHR1N8fDy9f/++ROdKTU2loKAg8vLyolOnTtH9+/fJwcGB5syZQ1euXOF1Qjx9+pRiY2MpNjaWsrOz6fPnz7Rt2zZq27Ztifoiw+fPn+nXr19UtmxZKiwspHnz5tG5c+fIycmJJkyYQGZmZlSmTBkaMmQIdevWTamiBYCOHz9OCxcupEaNGtHYsWOJiKhatWoUEBDAm0J89OhRRk4oVaoUXbp0SWnZhqdPn1Lt2rXpw4cPREQUEREh6P42bNjA+t2wYUM6fvw4Z554+PAh+fv708uXLwWdVx0UFhbSoUOHmDR7GaKjo2natGkUERHBu36EhoYSEXFSKJVBseTKwIEDKTY2loKDg6lMmTKcdUFWikNRqZM572QOxMzMTNLX16dSpUrRkydPBPVFGTw9PWnZsmXk7e1NjRs3pqpVq9L8+fNp6dKlNG/evBK/h4oVK9LOnTs5ARRXr16ltm3b8hpRMjMz6dKlS7wG/N+hqEqlUnr79i3HOP369WuqWLEi/fz5k7V//fr1NGXKFFqwYAH16NGD1q9fT48fP2acwPJlO6pVq0bDhg2jrl27suTx69evU1BQEG+a/YwZM2jWrFnUq1cvqlWrFhEVlVlbv349jRs3jsaPH0+LFi2iQ4cO0bFjx6hixYrUqVMnmjZtGus8kydPps2bN3NKT2VlZdHo0aNp+/bt9OnTJ871ZbKm4nNJS0ujBw8eEFFRaQFlDiM+B+3Dhw+VOmj3799PrVu3po4dOzJlOZKTkykhIYF27NghuPzioUOHqFu3bsxcJINYGUGGTp06UUZGBi1evJh8fHxoz5499O7dO5oxYwYtWLBAaUkAscjOzqbnz59znASq5NNLly5RfHw8bdu2jb59+0YhISF/pZyGTAd79+4dASAjIyPavn07yzDxb4airKMKu3fv/oM94WLatGm0aNEiGjNmDBPscfbsWZo7dy4NHz6cU+bn34hTp05RaGgoGRsbU82aNYmoaG7PzMxkSo8pQp3xLxSbN2+m/Px86t69O129epUCAwPp8+fPpK2tTbGxsdS+fXve4zZu3EhJSUkUExPDKWfGB5m8PGbMGN61XKiMQMQed7LSIpUqVRJ8vDI8ePCAatasST9+/Cjxufhw8+ZNql69OsdWMWLECLp48SLt2LGDKlWqRNeuXaN3795R165dqWvXrhy5SKyz+D8ZsnI8qampVK9ePVaZLFlA0IgRIzgOKyH6wf/lXPfixQsiKj7wVkhgliioFW/9/xhkrMS+vr5ITEzEgwcPcP/+fezatQve3t4s9lFF5OXl4dixY1i9ejWTHvzq1St8//69xP1at24dypUrh61bt8LAwAAJCQmYMWMG8/fvgGKapvwmn5rp5ubGpHYCQExMDMzMzPDs2TMUFhaie/fuLLZvdYge1EFmZiZD0qChoQEbGxtoaWmhUaNG+PHjh9Ljzpw5gxUrVmDu3Lk4duyYymuITfG7ceMGa7t8+TLWrl0LFxcXJlWCDzk5OXjw4IHgdLrLly8jLi4OcXFxDKO9Koi5Z6FEnIB4cqpKlSoxqSHnzp2Dvr4+1qxZg5CQEKXlcNRJYZOl4NarV09QCi4g/B3UrFmTQwry5s0buLi48JI7iSEty8vLw8aNGxmSlaysLFFkPkBRCtGuXbt4U1bVhVhyPQcHB1y/fp2z/9q1a8zccvbsWYbNt7CwkJnfZO9YV1eXIdFSxO3bt1GqVCkEBgZCW1sbbdu2haurK0qXLs0paQAUEaocPHhQcFkOseRRdevWRUhICCuN6fPnzwgNDUW9evUEXfN34+DBg0hKSuLsT0pKwqFDh37bdcTOXXzIzc3l3S/mO65bty4WLFgAgJ12ePHiRZQrV07l9QsLC5GUlISwsDDo6OigXLlyDPGlPISSfjVs2BBfvnxhfu/du1cpsdmDBw/QunVr6OjooHbt2ujfvz9mzJiB+fPnY/z48WjVqhWsra1Rvnx5rFixgjWGhaYQ6+vrq5wPbt68qZRcTwwCAwMRFBTEGgsy1u7BgweX+Px8SEtLw9ixY1GmTBloampy/q9uCR2hsLCwEJ06vGXLFnh5ebHKIDx48AANGzbkJbEVC7FlmMRCT08Ply5d4uy/ePEib5q1UFJKZeWg+DbFY6RSKWbOnMlqs3DhQrRs2ZKX0BUQXpJM3ZISmzdvRt26dZnSJ3Xr1sWWLVuY/2dnZzNpunp6erxlQB49esT7TIUSIStLNS4OQUFBCAwMZJUw+PjxIwIDA1nyvjwOHDiA+vXrQ19fHxYWFvD19eWUs5BBRhYn24YOHYr27dvD0NAQAwYM4LQXKyPIYG1tzZQ6MzIyYkhY9+7dq7QsDiC8DMj79+8RHBzMSzzKN78olvNo2rQpNm7cqFJv/B1rrDyaNm2K+vXr49y5c7h27RpatWoFR0fH33Luv4Hu3bszW7du3WBsbAwbGxum5KatrS2MjY3RvXv3v963wsJCLFy4EOXKlWPNK4sXL+YlSxMKxXGoaisp3N3d0atXL5askZ+fj969e3OI4MSO/9+BrKwsXL16tVidKjs7GwEBATA0NIS7uzuqVavG2hShr6+vshSM/LgrbpNHceSvfCSBiu/0xo0bOHz4MLy9vVXOW8VBsTyt4ubr68v73nJyctCzZ09oampCIpFAS0sLUqkUnTt35tWrlK07N27c4CXs/bdCjA7SvXt3FjmhMojRD9Qdc+oiLy8PEyZMYEpASqVSGBsbY/z48bx62p07d+Dg4AB9fX3muzIwMIC9vT1u376tVh/+a5wGmPpufCgsLISfnx+rfrIMz549g4uLC/T19aGhocEIq4MHD0afPn1+S9/UqeX75csXrFu3DmPGjGGEyqtXrzIflTqQr1kIAB06dGCxuV6/fh1lypRhfssbCe7cuQOpVMqq3aiqtq0MP3/+RGxsLFasWFEsq7UQw2tubi40NDREfyyq6sctXbpUaT05RRw4cADe3t6c/VlZWYiMjISGhgZrHA0cOBCzZ8/mtH/x4gUaNGjAqfXo5eXFMNuX5J7FMNgDwLZt2+Dg4IBly5bh3LlzxQpJenp6TO2uUaNGoUuXLgCKxomlpSVvn549e6ZyU4RYVnex7+D9+/dwcXHBsGHDABQ5pCpVqoSwsDBWzTug6B1ERESIYlzX09Pjva/fhfz8fPzzzz+oVasWSpcuzapJrExoECto6Onp8TpNLl26xCjaT58+hYGBAfLz85GamoovX74gJycHd+/excWLF4t18gmtYZqbmws/P79i5xF5mJmZ4ezZs5z9Z86c4b3fP12bXh14eHjwGs0OHz4MT09Pzv78/HysX78e4eHh8Pf3h6+vL2tThNjvRizEfsdia+Ipw6dPn7Bo0SLeZ2RpacnrtLh16xZKlSrF/JZIJCxnjhB+h4yMDMyfPx8tWrRA1apV4ezsDC8vLwwcOBD79+/nVQDKly+P7du3c/Zv27YNNjY2zO8qVapg1apVSq+9YsUKVKlSRWX/hCA7Oxv169dHu3btUFhYyDiRZHOlMohxiMqus3HjRjRs2BBSqRTe3t5YtWoV49T7myhTpgxj8BIKBwcHhgtCHleuXIG9vf3v6hoDIQ7LlJQUNG/eHBUrVkTFihUREhKCU6dO8bZt3rw5qlWrhqtXr7L6Xr16dYSEhHDaOzk5YciQIcjKylLZT3XqWqtbD14exTmBK1SowMiW8nPLxo0b4erqqvLcQhEUFISYmBjO/piYGDRt2pSzX2hdcYlEgmbNmhVrlFCEWAetWPj4+LA2Pz8/tG/fHmvWrOEYYdWVEQDx9WrFGts6duwILy8vXL58GQYGBjh69Cg2bdoEZ2dnHDhwgNNeIpGgdu3aWLx4cbHz1Z9aYy0sLFjf7pcvXyCRSAQZVv5tGDVqFHr27MlrSB0xYsT/Yc+Ab9++cXgt1IViUI6qraRQVj/+wYMHHHlW7Pj/mwgLC4OlpSX69u2LyZMnY8qUKaxNETVr1lQZwKQuJBIJ7O3t0apVK7Rs2VLppngMX33xevXqlaiWekkNnc+fP8fBgwexbds2Xp2qatWqqFatGqRSKTw8PFjOAE9PTxgZGXFqqf9bIVYHEQp19IO/hb59+6JUqVJYvXo1Y8dZvXo1rK2t0bdvX077PxGY9V/jNIqigvft26f0//v27eOQzwFAixYt0LlzZ+Tk5LCE1ZMnT/52D7TQ6MmbN2/CysoKjo6O0NTUZPo0fvx4xgioDDKCFD6IjYQWS/SgLoHixo0bGZIceeTk5HCIRYAiBUNGoqYuvn37hjVr1qBWrVqihABZhL4iBg8ejBo1auD06dOsKP3ExETeaJ+AgADUqVOHE3FVr149BAQEcNqLvWcxRJyA+KhmeYLGqlWrIi4uDkARqdfvUHhk55W9f/l7uHbtGkqXLs1pL/YdAEULtK2tLYYNGwYnJye0b99eaVSusbGxKOO02Gh0oMjoO3fuXERFRXEikhQxceJElClTBvPnz4euri6mT5+OHj16wMLCgkOyo66g0axZM1SvXp1lgLl27Rpq1KiB4OBgAEVzqywKQ0dHR9QzEgtLS0tRxmmx5FGenp68ZBHJycmcSJO/BV1dXUYpl8fTp09556IBAwbAwMAA7dq1w5AhQzB06FDWpgh1vhsxEPsdlytXjnEoyLffvXs3HBwcStwfQDjpl6LwKd+f34mpU6fC1NQUc+bMwalTp3Dq1CnMnj0bpqammDZtGtNu7ty5sLCw4DVOyggv+UjI1MGXL19QpUoVtG3bFqVKlSrWQCDGIXrp0iX07t0bxsbGqFatGubPnw8NDQ1eEks+/Akymfnz56N///6iouLERh7/aWzatAmamppo164dE3Xcrl07aGlpsSJ9ZXj//j2CgoIgkUigra0NbW1tSKVSBAUF8cqqQkkp5SE2utzHx4cVjfQ7MWvWLFSuXBkXLlyAkZERTp8+jc2bN8PKygpLly5VeeyVK1ewadMmbNq0idchIcOqVatgZWWFAQMGMO0HDBiAUqVKYdWqVRyCSqFEyBKJBO3btxdtjBDroBUKRQe+UKgrI9SsWZPJIAoJCUGXLl3w8uVLjBo1inddEGtsExuZLUYO+VNrrOL6BHBJb/9TYGlpqdSQam5u/tf74+vryzsPff36ldfJLxTyATl79uxBxYoVOQYkJycn0boDH+rXr897nj179qBOnTqsfepmJohBYWEhtm/fjn79+qFNmzbFOtZk0NfXL9bY/PXrV2ZLTk5GvXr1cPLkSXz8+JH1v5I4bvr37w8zMzNUrVoVS5YsUUmoKYNiENbz58//OBmeKkydOpXXuZydnY2pU6cyv2WGf4lEghEjRrCcAbNmzUJ8fDxycnL+ZtfVhlgdBCjKah85ciTat2+vdJz+Lf1AHRgbG/Nm1h48eJCXpPFPBGb91zgNtledD0+ePGGxactgbm7OLIiKUVq/Q7lQZ4Hz9/fHyJEjOX06e/as0kjljRs3wt3dHTo6OtDR0YGHhwdjMJRBnUjo48ePY+jQoZgzZw5nQpsyZQoT8QGILxsig9hSA+vXr0ezZs0ELQyKSE1NRdeuXWFgYAAnJyeMHj2aV7lUXMwyMzNx//59tG/fnjcyzdbWFufPnwfAfmdpaWkwMjLitNfV1VUaccU37sTes1gGe7FRzR07dkT16tXRo0cP6OvrM2y+e/fu5XUCySAmsk5sCq7YdyDDw4cPUapUKXTq1EmlYaJr165YuHCh0v8rQmw0+syZMyGRSODi4gJvb29WNBLfXOHg4MAoWYaGhkwZjCVLliA8PJzVVl1B482bN2jcuDHHeNGkSRMmWujEiRM4cuQIAKBGjRqCGKg/fPjAGVd37txB9+7dERYWxmtIAYChQ4di9OjRxZ5fhi9fviA0NJTT/5YtWyIzM5PT/uDBg3Bzc8OOHTvw4sULvHjxAjt27GCil3+HgCsWpUuX5jWYHzt2DFZWVpz9YssTqPvdCIXY7zgqKgoNGjTAmzdvmEjCM2fOwMHBgRUlM3v2bKUpdIq4cOECyyBRq1YtliAuw+TJk1G9enXm998SPoWmEOfm5sLHxweampoIDAxkHA6BgYHQ1NSEt7e30tIqxUFxzfv69SsePHgAGxsb9OvXr9ixL9Qh6uHhATs7O4wdO5YlDGtqaqo0Tufn52PatGkoW7YsK/pwwoQJxWaiCUHLli1hYmKCChUqoHnz5oIUZ7GRx+pAjMPSxcWFd41asGABXFxclF7j4cOHjMFUVfR4q1atsG3bNlH9FxNdnpubCwcHB9y7d0/lOWXOViGbPNQpKfHu3Tv4+vpyIr/9/Px4s5BUlZ/hK0Xj4eHBZOz5+/sjKioKQNE6Ll/GiM8QKQRiHbRCM7IU5fYRI0YIkk+FygiK2LRpEzZs2ACgaOxYWlpCKpVCV1cXW7du5bQXa2wTG5kNCM9w/VNrrEQiwcmTJ1lypYGBAQ4ePPhby0P8DZiamvLqAYmJiTA1Nf3r/VH2vb1794637JQ6qFWrFq+sdvDgQZYcIgby733r1q2wtbXFP//8g9OnT+P06dP4559/YG9vz/lm1Bn/YjF48GDo6OggMDAQ3bp1Exzl6+zsXOw4VoxE54tMVxZstWPHDoSFhaFOnTrFlgz59esX4uPj0bhxY+jr6yMsLAxJSUklKvXyNyHW3hIbG/t/akz/HRCrgyQkJEBLSwvNmzeHtrY2mjdvjkqVKsHExIQ1TkuiH4gZc+rAysqKV466d+8eb3b7nwjMUrNS9f9b+PHjh0piMn19fcrOzubsLyws5C3o/vLlSzIyMipxv1JSUjjEAkRFpGWnT5/mPeby5cu0Zs0azv5y5crxErYsXLiQJk6cSAMHDmTIrs6cOUN9+/aljx8/0rBhw4ioiLSuQ4cOdPDgQbp79y41a9aMRe5z6NAhDouxv78/L9soEZdQ6Pnz5yw276NHj1Lbtm0ZcrwhQ4ZQs2bNOOfB/zDoKuLly5e8TLfLly+n9PR0Klu2LNnZ2XHIAOVJJomI3r59S7GxsRQdHU3fvn2jdu3aUU5ODiUmJiplHzc1NeX0CQDZ2NhQQkICp/2HDx84hAFERWQ3fPdmY2NDeXl5nP0FBQVUtmzZEt+zGAZ7IhJMhCjDihUraMKECfTixQvatWsXWVhYEFER2UZ4eDjvMatWraJJkybR0KFDaebMmcx3Z2pqSosXL6YWLVqw2otldRfyDpQx1WZnZ9P+/fuZ+yAqIjmQh5OTE02bNo3Onj1LNWrU4LwDRcZ1GRGT/H6JRMLLGE1EtGTJEoqJiaHu3btz+seHt2/fkoeHBxERGRoa0tevX4mIqHnz5hyyFtm3am9vTx06dOAQnSmDtbU1HTt2jB48eECPHj0ioiLGbRmxEtH/kkgQFZFHjRgxgqZPn877jIyNjYmIaNCgQVS2bFlasGABERG9f/+eGjZsSGXLlqWKFStS9+7dqaCggMNqnJ+fTzExMXT8+HHe8y9cuJD129TUlPbu3SuYPEpGwtauXTtmnOB/yHVDQkKY37L35+DgQJcvX2aNG6Ii0rDq1auXmBCNiKhFixY0dOhQ2rNnD4uUMioqiiGBk4e2trbS++OD2LlLLMR+x7NmzaIBAwaQjY0NFRQUUOXKlamgoIA6duxIEyZMYNrdu3ePbG1tKSwsjEJCQqhmzZpkZWVFREXj5N69e3TmzBnavHkzvX79muLi4phjJ06cSK1bt6bHjx/zkn7J48iRI8w6VFhYSMnJyRyyVL73IAYSiYSGDRtGw4YNo+/fvxMR8cofWlpadPToUVq0aBHFx8fTqVOnCABVqlSJZs6cSUOHDuUlQhUCvjWPqGi8r169mtasWaN07iIqImNUJNYjItLR0aGsrCzm98OHD6l9+/bk6+urdP3lw8yZM2njxo00b9486tWrF7Pf3d2dFi9ezEsyKwampqbUqlUrUcfExMRQt27dqGbNmsxzz8/Pp4CAAFq/fn2J+kNU9C1MmDCBnJ2dqXTp0qz3w/eunjx5wsxT8ggNDaVx48YpvU6lSpWUkjzt27eP+Ts4OJhGjhxJ9+7dU0lKKY83b95Qfn4+Z39BQQG9e/eOtU9LS4t+/fqltJ8yyJPy/fr1i1auXEmVK1dmyHEvXLhAd+/epf79+7OOk0gkNH78eBo5ciSlp6fTjx8/qHLlygxpLB8GDRpE379/p7t37zKy071796hbt240ePBgjjyoSBJZHCIiIujmzZvk7e1NY8aMoZCQEFq+fDlDhCzfd3WwdOlS6tatG9WrV481RkNDQ2nJkiWc9lOnTqX169dTVFQUTZgwgcaPH0/Pnj2jxMREmjRpEtNOti7KsGbNGurXrx9DPKwMQmUERXTu3Jn5u0aNGpSRkUEPHjwgW1tbsrS05LTPyspi1jUzMzP68OEDVapUiTw8PDjyMlGRXPPw4UOyt7enKlWq0Jo1a8je3p5Wr17NS3B769Yt8vf3J1NTU3r27Bn16tWLzM3Naffu3fT8+XPWevMn11h/f3/Ou2jevLlKWfPfiIiICOrRowc9fvyY0UMvXrxIc+bMEUzs+ztw69Yt5u979+6xdO6CggJKSkqicuXK/ZZr3b59m0OwS1Skv927d0+tc1atWpV59zKMGjWK065jx44sAkKx418dbNq0iXbv3s1rB1CFBQsW0KhRo2j16tVKyaBPnjypVp+WLl1K48ePp+7du9PevXspIiKCHj9+TJcvX6YBAwZw2uvo6FB4eDiFh4dTRkYGxcbGUv/+/Sk/P5/u3r1LhoaGtHTpUsHXV9Qb/zSU2Vtu3rzJO3d369btb3Trj0IdHWTRokU0YMAAMjIyoiVLllCFChWoT58+nG9BHf1A7JhTBwMHDqTp06fThg0bGH0/JyeHZs6cSQMHDuS0nz17Ng0ePJimTJlCdevWJaIiOWratGk0d+5c+vbtG9NW2RqtiP8ap/8HiguJPD5+/Mi7v2nTprR48WJau3YtERUJgD9+/KDJkyeLnkDlUZIFTkdHhzUQZHj06BGjfMtj2bJltGrVKhZTemhoKLm5udGUKVMY43SrVq3o0KFDdODAAWratCmHFVtfX58lzNvZ2ZGfnx/5+fmRj49PsUyfUqmUtSBeuHCBZSQzNTWlL1++ML+rVatGEomEJBIJ+fv7sxhBCwoK6OnTpxQYGMi5jlC2cKIig9KpU6coODiYFi9eTIGBgaShoUGrV69WeZziQieVSsnKyoocHR15mUtr1qxJBw8eZJ6pbPJfv349ozDJ459//qFBgwbRihUrGBblK1eu0JAhQ2j+/Pmc9mLumYho+PDhNGDAAPr16xcBoEuXLlFCQgLDYK8IeUGaD/Jji6joXS5fvpzTThUL8rJly2jdunXUsmVLmjNnDrO/Zs2aNGLECE77Xr160ZAhQygmJoYkEgm9fv2azp8/TyNGjOBlyhbyDhYvXqzyPlUhOjqaTE1N6erVq3T16lXW/yQSCUfIePr0qajzS6VSxrkkBOXLl6c3b96Qra0tVaxYkY4ePUrVq1eny5cvKzU++/n50YcPH6h8+fJE9L8s85UrV6bevXsrvZaDgwNJJBKqWLGiSuZe2ZwZGhrKEoAUlaQLFy5QbGws8/+4uDgyNzenGzdukKamJs2fP59WrFjBMU7fuXOHqlevTkTEGMtlUKXkOTk5cRiW+SBWwH327Bmv4peTk0OvXr3iPSYrK4vmzJlDycnJ9P79e44xQ9GgPW/ePAoMDCQXFxfmvb18+ZIaNmzIO1dERUXRkiVLaPny5YIUX7Fz16FDh0hDQ4MCAgJY+48cOUKFhYUUFBTE2i/2O9bW1qZ169bRxIkT6c6dO/Tjxw+qVq0a5/3FxcXRzZs3afny5dSxY0f69u0baWhokI6ODuOIrlatGvXs2ZO6d+9Ourq6zLEhISGUmJhIs2bNop07d5Kenh55enrS8ePHydvbm3UdReG8T58+rN+/Q/l/+vQp5efnk5OTE8sonZaWRlpaWiyhWktLi0aNGsWrcCrDt2/flAqU6enp5OjoqLZyJ4NQh+iTJ08oNjaW+vXrRz9//qTw8HDq1KlTsWM1Li6O1q5dS/7+/tS3b19mf5UqVRjHU0mwYcMG0cdYWVnRoUOH6NGjR0wfXFxcGENvSZVUsQ5LGxsbSk5O5jinjh8/ziu/RUZGqjxfTEwMr+wxbdo0zj5l34G/vz/16dOH1q9fz8zdV69epX79+lHjxo057QcMGEBz586l9evXK11r5AMjevbsSYMHD6bpRq3xqQABAABJREFU06dz2shY6hWhra1NlStXpoyMDHr+/Dm5uLiQVCrlbZuUlETHjx9njeHKlSvTihUrqGnTprzHiIFMPiciaty4MT148ICuXr1Kjo6O5OnpyfxP0QApFGIdtFu2bKF169ZRcHAwTZkyhcLDw6lixYrk6elJFy5cUGpMEdo/oTKCIqZNm0YjRoxggpD09fWpevXq9PPnT5o2bRrLcE4k3tg2ZMgQevPmDREVjZ3AwEDasmULaWtrs2QVGYYNG0YRERE0b9481pzdrFkz6tixI6ut2DVWKMTKmP9mzJ8/n6ytrWnBggXMeyhTpgyNHDmSoqKi/lo/ZMZdiUTCOK7loaenR8uWLSOi/9VhhYDPIeLq6sroZNra2kRElJubS7Nnz+YNIhICdceE2PGvDkxMTHiNgcWhc+fOlJ2dTRUrViR9fX2OU/Tz588cuU0oVq5cSWvXrqXw8HCKjY2lUaNGkYODA02aNIkToKQIqVTKOALk561FixYJujaf3vinIAvMkkgkVKlSJda4LSgooB8/frDkKvn/LVq0iLZv307Pnz/nBFsW94z+DRCrgzx+/JiCg4OJqEhWkDkRhw0bRn5+fiw7hzr6QUnGnFBcv36dkpOTqXz58lSlShUiKnJA5Obmkr+/P7Vu3Zppu3v3btGBWUIggbpSy/9DkJ8kFKHKg/zy5UsKCAggAJSWlkY1a9aktLQ0srS0pFOnTvF6u8X0h4hfaJMtcHzKQc+ePenTp0+0fft2Mjc3p1u3bpGGhga1bNmSGjVqxDGw6erq0p07dzjCZlpaGnl4eAiKROHDlClTKCUlhS5evEi5ublUoUIF8vX1JT8/P/L19SVra2tW+3r16lFYWBgNHz6c7t69S56enpSens54hlNTU6lbt2707NkzIvpfQ+bUqVMpKiqKFb2ira1N9vb21KZNG2bRVgeampo0ePBg6tevH8u4oaWlRTdv3hQVuUVUFAU0c+ZMjmH2zJkzFBQURJ07d6bY2Fjq06cP3bt3j86dO0epqalUo0YNVnszMzPKzs6m/Px8RgGT/a0YSaLuZLVlyxaaMmUKPX78mIiIypYtS1OnTuWNMDMzM2P9zsvLo+zsbNLW1iZ9fX1OH5KSksjQ0JAaNGhAREWR1OvWrWOUNsXzERWN+QcPHpCdnR0ZGRnRzZs3ycHBgdLS0sjT05N+/vzJag+AZs2aRbNnz2aMTTo6OkzUjSLEvoN/G+bNm0evX78WbEAfM2YMGRsb07hx42jbtm3UuXNnsre3p+fPn9OwYcNYDgAZGjZsSL1796YuXbrQ27dvqVKlSuTu7k5paWk0aNAgjoKXnZ1NgwYNoo0bNxJRkUHYwcGBBg0aROXKlaMxY8aw2qempqrss0yAlB8LREUKnbu7O82bN4+5Tr169ejTp0+CnoUyFBQUUGxsrFJD8IkTJ9Q6ryyasGXLlrRx40ZWhkdBQQElJyfTsWPH6OHDh5xjw8PDKTU1lbp06UJlypThKDdDhgzhHAOAjh07Rjdv3mQMqY0aNeLtW6tWrejkyZNkbm5Obm5uHEF+9+7drN9ivxtPT0+aM2cOx3mblJREo0ePpps3b3L6LuY7VjyWqPiowcLCQrp16xZlZGTQz58/ydLSkqpWrcobUfdvhLe3N0VGRnIE3c2bN9P69espJSWlROdv2LAhHT9+nOO0evjwIfn7+9PLly9LdH6iIkPLlClTaMGCBdSjRw9av349PX78mFG+ZZkk8jhx4gTFxMTQ7t276devXzRixAjq2bMnbxSvsvXj3r17VLt2bfrx48e/LmJJMSruw4cPlJ2dTaampkRUlGGhr69PpUqV4s2yKFOmDJ06dUqQY42oKDtp6NChFBkZSfXr1yciorNnz1JsbCwtWbKEozgpRorn5eXRnTt3KDMzk/z8/DhzhTr48OEDdevWjZKSkjjR5bGxsRwZu1WrVpScnEyGhobk4eHBkYcU+2RiYkJXrlzhPCOZPP/161eKiYmhzMxMGj58OPP/3r17U3R0NBEVGTKPHDnCa8A3MjKi06dPU9WqVVn7r1+/Tt7e3ryBJJcvX6aTJ0/yrjmK2T1xcXHUvn17zreZm5tLW7duZQIDUlNTycvLS6Vz+HfAwMCA7t+/T7a2tlSmTBk6ePAgkwVUrVo1JkNLKpXS27dvmfcn/02qglAZQREaGhr05s0bznj59OkTlSpViqPbbd68mfLz86l79+509epVCgwMpM+fPzPGNvmoUT5kZ2erjMw2MTGha9euUcWKFVn3npGRQc7Oziy96z9dNv3bkH1TQiP0ficyMjIIADk4ONClS5dYAWHa2tpUqlQp0tDQICJ2ME5xGRyzZ8/mXOvSpUsUEhJCABhH1K1bt0gikdD+/fs5mcx/E8WNf3WwceNGSkpKopiYGNLT0xN1nCooyk3ywYHykEgkpKurS7a2tsx8q6+vT/fv3yc7OzsqVaoUHTt2jKpUqUJpaWlUt25djg6Sk5NDu3fvppiYGDpz5gw1b96cIiIiKDAwUKmD89+AjRs3EgCKjIykxYsXs3QWmb2Fz1E2adIklZk0fzvyWx2I1UHKly9Phw8fJg8PD/L09KSxY8dSeHg4nT9/ngIDA5k1UF2IHXPqQEy2yYYNG4pdl+Uh2BGkVjGQ/8dQXM1cZbVzASAvLw+bN2/GyJEj0a9fP6xbt05wLUtV/Xn69CkkEgkuX77M6sPr16+Vkq4BQGZmJho3bgxTU1NoaGjAxsYGWlpaaNSoEX78+MFp7+bmhpkzZ3L2T58+nVUrxtbWFt27d0dcXByeP38u+F5+/fqF5ORkTJo0CY0aNYKOjg6kUilcXFzQv39/pp1YAkUZ/mRNo/Pnz6Nnz54wMjJC7dq1sWzZMnz48EFlfcs7d+5g2bJlWLNmDVMv/MOHDxg6dCh0dXVRuXJl3uPS09PRs2dP1KpVC66urujUqRMvSzpQdM9Ct5JCKBGnIh49egR/f3+GhEYe7u7uTK20W7duQUdHB2PHjkXdunWV1g5zdXVlasrJ12ZaunSpyjpLYljdxbyDgwcP8t7bkSNHeIkE5Pvz4MEDDhO9IjZu3KhyU0RBQQECAwPh4OAguOapPM6dO4cFCxaoJIY1NTVlauwvWbIE9evXZ+65QoUKnPZ/isinVKlSLIJPCwsL7Ny5k/n96NEjlcSaaWlpSEpKYuZpZfXexJIDTp48mZfoKTMzEx06dGB+K5KGym/a2tqoVKkS9u/fz9snExMTpp7fn4A67N1ivhuxBI0yiPmO169fDzc3N6ZOuJubG9atW6fyGHWQk5ODFy9eICMjg7WVBHl5eZg6dSpevHgh+BhZbW1FpKWlwcTEpET9AYDAwEAEBQWx5qx79+7B2toagwcP5rSPiYnB9u3bOfu3b9+uck3avHkzHB0dWXWzhdSDzszMxIoVK1CjRg1IJBJ4eHhw2lSvXh2bNm0CwF4/pk6digYNGgAoInmW32S1heVrBRsYGPDOdYD4OoAREREqN3mIJQYEiggwhwwZovrhKWD37t3w8vKCubk5zM3N4eXlxVvLVRkKCgrQu3dvXmJNseTV8hBa11rs/FW6dGmmFrE8NmzYgFKlSgEA6tSpg5iYGOZ/hw8fhqamJjZv3oyrV6+iXr166NGjB29/QkND0ahRI7x69YrZ9/LlS3h7e6Nly5ac9mK5I8TWABULsSRklSpVwoULFwAAXl5emD17NgBg69atLI4DiUSCPn36MPXPtbW1ERkZWWxddHUhkUh4a3wnJyfz1tBURFZWFq5evYoPHz7w/l8oUZgM8qTg8vPR0aNHUb58eU57MWvsf/Gfhx49evDWrp80aRJnLZDHjx8/sGbNGuZ7Wbt2La+eXxLcvXsXhw8fZpGxyvNDASiWcPB3IDs7GwEBATA0NIS7u/sfqbULcOtPK246Ojro2rUrfv78iQoVKjDfcY0aNbB69WoARTqRImFsv379YGZmBk9PTyxevFjpXKIMspr//5dISUkRxUsihtvo3w6hOkh4eDjDzzZt2jRYWVmhZ8+esLOzE6SLFwcxY+4/Gf81TgvE7du3OftSU1N5jUx5eXlITU39G91SitOnT2PFihWYO3cujh07prTdzp07oaGhgYCAAEybNg3Tpk1DQEAANDU1sXv3bqbd5MmT4e3tDV1dXUilUlSsWBE9e/ZEfHw83rx5I7hfnz9/xvjx42FsbMwRnsUQKKoLU1NTDkmLmZkZzM3NUbZsWTRq1IiliABFAkB0dDS8vLygpaUFqVSKxYsX49u3b6x2e/fuhZaWFqNcV6xYESdOnIClpSUCAgJw+PDhEvdfHahzz/JISUnBoUOH8PnzZ1HXvXz5MpydnTn7DQwMGAPV5MmT0aZNGwBFZDDK2G/XrVuHcuXKYevWrTAwMEBCQgJDTpSQkFBsX549e4a7d++qzRKvCBnJnSIOHz4MT09Pzv6srCxERkZCQ0ODRcg1cOBARoGTh6mpKWuTGUp0dHR4F6ABAwaoRRYiBvLvLSQkBHPmzAEAZGRk8BJliiXyUSR9lG23bt3Co0ePGMNGaGgoIiMjUVBQgB07dkBbW5s1Ng8cOMBL4PXx40f4+fkxwqesPxERERg+fDinvVhywPLly6NevXosUouTJ0/CxsYGtWrV4rS3t7cXLaDa29sXS/iliOPHj2Ps2LHo0aOHSgPY34BYgkZFFPcdT5w4EQYGBhgzZgyjRI0ZMwaGhoaYOHFiifsPFDk/GjRoIJgwRywMDQ1VEjQrwtjYWClpHB+Rs1hkZ2ejfv36aNeuHQoLC3H79m2UKlVKqfHIyckJJ06c4OxPSUlBpUqVOPvz8vKwceNGhiRVXYcoAFy/fh2DBg3i7E9MTISJiQnmzJkDfX19/PPPP+jZsye0tbVx9OhRTnuxxuAlS5bA0NAQAwcOhLa2Nvr06YPGjRvDxMQE48aN4+1ry5YtWVtwcDDs7OxgYmLCUWLEEAPKUFKHpbp48OABrK2tOfv/tCFVHcyePRu6uroYNGgQNm3ahE2bNmHgwIHQ19dn1mVzc3OWIbBv376MzAIUzfHK3sHz589RtWpVaGlpwcHBAQ4ODtDS0kK1atV4HVClSpXiNZYrgzKj640bN36LoiqWhGz06NFMsMvWrVuhqakJR0dHaGtrs8iIFQ3vfBufMV6ojCCDTPaVSqUcOVimg8gHycgg1tgsdmz36NEDLVu2RG5uLgwNDfHkyRNkZGSgWrVqoh1K/0WRXFShQgWl29/A3r17GcOdoiFXlWEXKFrDHz16xNn/6NEjGBsbc/YLJX8tCR4/fgxPT09OIIVM3pGHlpYW7O3tMXbsWJXExCVBWFgYLC0t0bdvX0yePJlFzC5Pdq0KP3/+5BA3KyIxMRHOzs5Yv349bt26hVu3bmH9+vVwdXXF1q1bsXnzZpQvXx5RUVHo0aMHc+3ly5dDT0+PCQ6MjIxknVcikcDOzg4tW7bkrMWq1uWNGzfC3d0dOjo60NHRgYeHB+Li4tR4gv+Lhw8fMoSvMhw/fhw+Pj6oVasWb8CiIoQ8S319fSZgw9ramiF/fvz4Me+4/jciIiKCY+sBiuxCfDrUp0+fGGd0QUEBZs+ejZCQEAwfPly0DYUPYsbc70JKSgoOHjyotP+HDx9mOaiWL1+OKlWqIDw8XO17/q9xWgW+ffuGNWvWoFatWrwCxt8StoV4LkuCK1euoFOnTqhevTqqV6+OTp068SpCgPBIaBlycnKQkpKCKVOmwMfHB3p6enB0dERkZGSx0TJCIJQdXIaFCxfCwsICnTt3xtKlS7F06VJ07twZlpaWmDlzJnr27AkdHR2sXbuW93oPHjzAyJEjYW1tDV1dXYSEhDD/q1WrFoYOHYrv379j0aJFkEgkcHd3x6VLl3jPlZeXxxGm3759iylTpmDkyJEqvdH5+fnYsWMH41DYuXOn0mhcoffcunVrlve+sLAQAQEBjFBSunRp3LlzR2mfFHH9+nVeI6SZmRkjwHh5eWHNmjUAiqInVTE7C4msi46OZryWMvTq1YsRqFxdXVmR/+q+A7ERoL8jilhVNLqhoSHjoRaCjx8/Mn8/f/4cEydOxIgRI3Dq1Cmlx9SuXRujR4/GqVOnoKury0Qvnz9/HuXKleO019PTY+5T3jh948YNXsFEaMTCpUuXYGlpCW1tbUilUk7ESefOndGnTx/O+bt06YKAgAC8ePGC1Z+kpCTejIYyZcqojNJTxOfPnxEWFgYjIyOsXbsWI0aMgJaWFsaNG1dspLxQbNq0CW3btuVVnPkwZcoUSKVS1K5dGy1atOAYxNSFut9N79694eHhwURQAEXOCk9PT1b0odjvWAZLS0vEx8dz9sfHx8PCwkLUPSpD/fr10ahRIxw6dAjXr1/HjRs3WFtJERoaKirrpXnz5ggLC2NlVOXn56NNmzYIDAwscX8A4MuXL6hSpQratm2LUqVKYcSIEUrb6ujoKJ0b+ZxYQNFcoSw77Xfh1KlTaNy4MaysrKCnpwcvLy8cOXKEt61YY7CzszMz7uTnlokTJ2LAgAGC+6gs8lhPT49Xjrh48aLSNVOow9LGxoa1HixbtoxX0RSKgwcP8kajqmNIFRNdrgxfv37FypUrUaNGDd7/b9u2DfXr12dkxvr162Pbtm3M/xXHpqenJ5YsWcL8VuaclaGwsBBHjx5lZC9VwSLW1ta8RipFVK1aFdWqVYNUKoWHhwcrgtDT0xNGRka8mYZiYWZmJshBq8xZeP78+WIzssRATFQjUJRluGHDBkgkEixZsoSVVRgfH49z587xXkesbic2MluW4WpiYqI0w7Uk+sH/37B48WLW9s8//6Bjx44wNzfnDf74E5BIJMyYUcyIk9/4xo+QDA5FlC1b9o8ap5s3b44WLVrgw4cPMDQ0xL1793D69GnUrl2boyd8+PABy5YtQ/369SGRSFClShXMmzdPVAZYcdDX11drzP/48QMDBgyAlZUV75yhiFq1avHqWElJSUyQyZ49e+Dg4ICCggKWbJ+QkIBBgwZh6dKlyMnJYR3PtwYXl92zYMEC6OvrY9SoUYzdZ+TIkdDX18fChQtFPwsZWrZsyQrWePLkCfT09NC0aVMMHjwYhoaGWLRoEee4rKwsUc9SaCbNvxnK1oIPHz5AQ0Pjr/dHzJgTizlz5qhlA1LMhtfW1i42G744/Nc4zYPU1FR07doVBgYGcHJywujRo3kVA2UCycOHD3mNcmIh1HO5ZMkSwdvvhrJI6KlTp8LX1xf6+vpwdXVFnz59EB8fz0pvlIe6ZUMmTpyIMmXKYP78+dDV1cX06dPRo0cPWFhY8N5v69atsWrVKs7+1atXo3Xr1gCKSkXIlzThQ35+Pvbs2cMyThsbGzPp1fn5+dDQ0FCpiHTv3h29e/dmfn/79g02NjawsrKCp6cnNDU1eRWDO3fuwMHBAfr6+oxCYmBgAHt7e94If6H3rKuri61btzL/3759O/T09HDmzBl8+vQJwcHBvAqPotMkMTERq1atgpubG69xJCQkhInU19LSwsuXLwEUpaU4OTkpfV4yqIqsE5uCq+47EBsBKjaKWBmURaPb2tri/v37xR5/69Yt2NnZQSqVwtnZGdevX0fp0qVhaGgIY2NjaGhoYM+ePbzHnjx5EqamppBKpSzDwNixY3k9/g0bNsTSpUsBgIkOAoqixQMCAjjtxUQsfPjwAYmJiYzgI48DBw4w15JH6dKlGeOh/Dt4/PgxbxmQ+fPno3///qJT6caOHQuJRAItLS0cP35cZVuxUc1Vq1aFkZGR4NRGa2trQVEWMmNHcZsM6n43mZmZqFu3LjQ1NZnyCZqamvD19WXKIAHqp9KbmJjwGncePnz4W0pcAEVKkpBvTV2sWrUK1tbWiIqKQnx8fLFO6bt378LCwgIVK1ZkFJyKFSvCysqKdz0QAsWImK9fv+LBgwewsbFBv379VEbL2NjY8PYzMTGR14kFFEVSKpt3/i8g1hgsb8C0srJi5plHjx7B3Nxc1LX5Io+bN2+OatWqMZFHQJGhvHr16iwZRB5CHZbyRhWgqEyMfPaHMiiWYBg6dCjat28PQ0NDlkG+JIZUMdHlijhx4gQ6d+4MfX19lClThjd4QghcXFywa9cuAP+rkF65coX5/8WLFzkZX8nJyXB1deX9PjIzM1G5cmVeR7DQUiyyaEGJRIIRI0awIghnzZqF+Pj4EiuqQFFEqpC5TlGBHzFiBD59+lTi6ytCjIwgD7Hp6EKNzepGZstw5swZpRmu6q6x/8X/Yvny5b8tc/BPQkgGhyJmzpyJbt26/bbAB0VYWFjg5s2bAIp0W1kWUXJyssqAmidPnmDGjBlwc3ODhoYGbwaEOnB2dmb6Iwb9+/eHq6srdu7cCT09PcTExGD69OkoX748bxaUrq4u75x3//59xglZXCDV74K9vT1vEF9sbKzSbB0hKF++PMsxN336dFSpUoX5vX79etZvGcQ+S6GZNP9GfP36FZmZmZBIJEhPT2fJvJ8/f8bGjRtRpkwZpv2rV68QFRWldM0fMWIEkx34b0W1atXUsgGpkw1fHP5rnP4fvHnzBrNnz4ajoyNKlSqFgQMHKq0tLEu/kEqlaNasGSslIzQ0FPb29rzGF7EQ6rlUp1aiuh+S0EhoWQrLqlWrWFE5yqBu2RCxNY0MDAyU1ueUGajS09NV1j9VBkUlT94AxgcnJydW5Nby5ctRtmxZZGZmAiiqs+3j48M5rm7duggJCWGlS3z+/BmhoaGoV68ep73QeyYilie+e/fu6NKlC/P7/PnzvPXw+CIDSpcujfDwcLx+/ZrTPiMjA8HBwfD09GRFPg8dOpQ3JVsMxKbgqvsOhEaAyiA2ilgZlEWjx8TEoF27dsVG1AYGBqJ58+Y4c+YM+vTpg3LlyjElMgoKCtC/f3/UqVNH6fH5+fmcNJ2nT5/yOgtOnz4NQ0ND9O3bF7q6uhgyZAiaNGkCAwMDlnIvg5iIBXVgaGjIGC7l38Hly5d5DUgtW7aEiYkJKlSoIDgtfunSpdDX10fHjh3h7OyMypUrK42mVSeqWTGVsbjURnNzc9YYVYbizqt4fnW/G6DIG3/kyBHMmzcPy5Yt4y2BpW4q/cCBA3nLTURFRaltnFJEzZo1/2jUmtioK6BoPR87diyaNWuGNm3aYOrUqUqNQ4pGRdk2fPhwjBs3DjExMUojFBXrpfP1Z9SoUbCzs8OJEyeQn5+P/Px8JCcnw87OjmM0kmHbtm1wcHDAsmXLcO7cOU7afknRo0cPUWXBxBqDf2cdQL7I4/fv3yMoKIipSy/LGgkKClLqqBXqsBQrt8igWIbBz88P7du3x5o1a1gGk99tSFVV1/rly5eYMWMGKlasCAsLC0ilUmzdurVYB+OVK1cYo5BixPzs2bNhbW2NadOmwcfHB25ubqz/L1q0CP7+/qx9ISEhKiPblixZwjvHiy3FEhsby1vHWx58jiZlG9/5O3ToUCyPjroODrH4HTKCqnR0scZmdSKzCwoKEB0djeDgYLi5ucHd3R0hISHYuHEja5yWZI39Hfj58yf++eefP3b+v4HHjx//lkCxv4HiMjgU0bJlSxgZGaFMmTJo2rTpby/bZGpqygR5ODg4MKW60tPTizXM5ufnY//+/ahatepvyyI/cOAAAgICRJU8A4qc5bK1X56fIy4uDkFBQZz2VatWRbdu3VhrUm5uLrp168YY5c+cOcPIn1++fMGRI0ewadOmYrmBxEJHR4dXd3/06BF0dHTUPq+uri4rCNDPz48VMZuens4bzCH2WSpCCLfRvwXFZeloaGhgxowZTPuoqCj06tVL6fn69OmDUaNG/Za+/akxZ2pqqpYNSN1seFX4r3EaRYqIsbExwsPDceDAASY9VplxWhadJJFI0L59e1ZKRu/evTFr1izRtUT5oI7nUmitRLEfkthI6KSkJIwePRp16tSBtrY23N3dMXDgQOzYsYM3IkEGsWVDxNY0srGx4VUaFi5cCBsbGwBFde3U8fZIJBLExcUxEW76+vpYu3at0sg3fX19VoRnq1atWMbZu3fv8kbh6urq8qZW3L59mze9VOg9SyQSlkLh7OzMirguLn31T0JZZGf16tVRv359dO3aFSdOnBCdgqvuOxAaASqD2ChisdHoQiNq5eeU79+/QyKRsAzF9+/f/20RpoB4srw/GbEQFBTECGCyd1BQUICwsDCW4VMGseRaAQEBsLCwwI4dOwAU1aeUGeb5DClCo5pLglGjRmHatGm//bzqfjdCoW4q/cCBA2FsbAw3Nzf06NEDPXr0gLu7O4yNjRnDtTzZVm5uLjQ0NERFGCcnJ6NevXo4efIkPn78WKyBBygSJtetW4cxY8YwRuOrV68yWSN/Ez4+PjA2NoaBgQFTysvQ0BAmJiaoU6cOTE1NYWhoiNjYWKSkpBS7KSInJwft2rVjsge0tLSgoaGBiIgIpUZIZYb431XHOzQ0FDo6OihfvjxGjBiB69evq2wv1hisTh1AoZHH8hBKDAgId1iqa5wWi99JXq0YXb5z504EBQXBwMAAbdu2RWJiInJyclSSVwPAu3fv4Ovrywnm8PPzY+TUgoICTJw4EVWrVkVgYCAnlb5t27ac8mK2trYqU+7v37/PyF7yEMsd8fz5c1bq/MWLFzFkyBBGOQSKV7JVfWdCScj+1hhSV0YQmo6ubhkQoZHZhYWFCA4OhkQiQdWqVdGhQwe0b9+eyZBt0aIF0/ZPr7FA0Ty3f/9+HDlyhNF7c3NzsXjxYpQuXfq3lcL6v8LcuXNhZ2f3f3LtP831oQ55tRg0aNCAyWYKDw9HYGAgzpw5g65du3IcdDKcOXMG/fr1g5WVFYyMjNC5c+ffxrVkamrKrMOGhobFlvCUwcDAgLERlCtXjqm1/OTJE96MybNnz8LCwgJWVlbw9/eHv78/SpUqBQsLCyb7NS4uDvPmzcO+fftgZGQEiUQCExMTFk/Q76j57+bmxlv/efr06cVmd6tC2bJlmedQUFAAY2NjVpbVvXv3eO0nYp/lfzJSUlJw8uRJSCQS7N69myXznjt3jmP7cnNzUxm0cvbsWd7ykYA4/eBPjjnFdVuoDaik2fB80KT/gg4fPkyDBw+mfv36kZOTU7HtN2zYQERE9vb2NGLECDIwMPgj/SooKCAjIyMiIrK0tKTXr1+Ts7Mz2dnZ0cOHD3mPmThxIu3cuZOcnZ2Zfc7OzrRo0SJq27YtderUiYiIkpKSaPXq1Uqv3bVrV+rVqxfNnTuXiIimTJlCtra2tGDBAgoLCyMLCwuVfQ8ICKCAgAAiIvr+/TudPn2aUlNTad68edSpUydydHQkX19fWr58Oes4HR0d8vPzIz8/PyIi+vLlCy1YsICWLVtGq1evphUrVrDaly9fnt68eUO2trZUsWJFOnr0KFWvXp0uX75MOjo6vM+nX79+dPLkSapduzYREV2+fJkOHTrEPI9jx46Rt7e3yvtThm7durF+9+nTh/VbIpFQQUEBERHp6urSz58/mf9duHCB/vnnH+a3rq4u/fjxg3ONSpUq0bt378jNzY21//379+To6MhpL/SeTUxM6NSpU+Tg4EDPnz+nR48eUaNGjZjzvHz5kve9nzp1iv4/9t47Korke/9/ZsgZRZQgUVSiIioGVIIJDBh2zRnjKua4umsOuLsGTJgQwQQGjJgREBOCCAqKEcSEmVVBQfD+/uA3/Z2e6RmmB1D3/fF1Tp8z011dUzXdXV1169Z97O3tUbNmTdb+L1++4PLly6w8RDx48ABhYWF48OABgoODUbNmTZw4cQKWlpZS9QIAX19fhISEwMXFhVWHGzduYOjQobh16xbatWsHMzMzXLt2DVZWVnj9+jUyMzPh4eHB5JOXlwcDAwPWf6zMNTAwMMClS5dw5swZpKenQ0tLCw0aNOCsKwAsXboUfn5+uHXrFkpKShAcHIxbt27h0qVLSEhIkErfvXt31neBQABjY2P4+PhgxYoV5aaXxdu3b2FiYgIA0NXVhY6ODqpVq8Ycr1atGj58+MB57osXLzBt2jTExsbi5cuXICLWcdF9LU6dOnWwZcsWqf379+/Hr7/+ytpnb2+PoKAgbN68Gerq6gDK7qGgoCDY29sDAJ4+fYpatWopVFdJ/vrrL7Rt2xYpKSkoLi7GjBkzkJmZibdv3+LixYtS6UXtvKKUlpbixo0bMDMzAwBoaWkhJCQEXbp0wYgRIzBjxgxW+uLiYrRs2VKpuly7dg23b98GADg5OaFRo0ac6T5//ozNmzfj7NmzaNCgAdTU1FjHV65cKXXO69evkZOTA4FAAGtra85nns9zs2bNGowaNQqamppYs2aN3HpNmDABAGBlZcXrORaRkZEBNzc3AGVtDFD27qxRowYyMjKYdAKBAACgpqYGS0tLzntXFu3atQMAtG3blrWfiFjtu4gbN26gXbt2MDAwQE5ODkaOHInq1asjOjoaubm5iIiIkPlbnz9/hqamZrllSkxMxKZNm/Dw4UPs27cP5ubm2LFjB2xsbNCqVStW2m7duqF69eoICwuDvr4+AODff//FiBEj0KpVK4wcORL9+/fH7t27cerUKYX+E3HU1dURFRWFRYsWMW2ji4sLrKysZJ6TnZ3N+3f4cPjwYbx79w779u3D7t27sXLlStjb22PAgAHo378/rK2tWemNjY1x/Phx3L17F1lZWQDK2qd69epx5r9582Z8/foVADBu3DgYGRnh0qVL8Pf3l+oDiLh+/Trru1AohLGxMVasWIGAgADOc+rVqyezDJKsWbMGDx48QK1atWBtbS317KempjKft27dCl1dXQBASUkJtm/fjho1arDSi55NSV69esX0R+vXrw9jY2POdKK+UXFxMV6+fMn8XyIsLS0VqhdQ9myXlJQw3/v06YOZM2ciKiqK6TMrwvjx4/HhwwdkZmbCwcEBAHDr1i0MGTIEEyZMwJ49eyAUCrFw4UIsXLiQM499+/ZJ7Xvx4oXU/y2OqqoqXr16JbU/PDwcBw4cQOfOnRUqf//+/TFq1CgMGjQIeXl5aNeuHZydnbFr1y7k5eVh7ty5iIuLUygvLoYMGYJr165h4MCBqFWrFtNufi+U7SNMnz4dcXFxCAkJwaBBg7B+/Xo8ffoUmzZtQlBQEJNOdI/a2NigZcuWcq+hOOLjhc+fP6O4uJh1XNTObt++HefPn0dsbCy8vb1Zac6dO4fu3bsjIiICgwcPVrpvqigXLlxAly5d8P79ewgEAjRp0gRhYWHo3r07VFVVMX/+fKnxzI9Ko0aNWPcmESEvLw+vXr3Chg0bvnl5FixYgIULF6JJkyYwNTWtkueGb/+UL3/88QcKCgoAAAsXLkSXLl3QunVrGBkZITIykpX2999/R2RkJJ49e4b27dsjODgY3bp1g7a2dqWVZ/Xq1UqdZ2tri+zsbFhaWsLe3h579+6Fu7s7jh49ytmHbNmyJbKzs7Fr1y7cvXsXANCrVy/079+febcMGjQIQNn7OCAgAEuXLq3UuopYsGAB+vTpg/PnzzP934sXLyI2NhZ79+5VOl8vLy8sWrQIGzZswL59+/D161d4eXkxx2/duiXVJwLk/5eGhoYAgCNHjihcDn9/f6XrUNWI2vTs7GxYWFhAKBTKTS/6X2RRu3Zt5OTkSO3nOz6YOnVqld1zderUUcoGtG7dOowdOxb79+9HSEgIzM3NAZTZVn19fZUrjFIm7f8xLl++TCNGjCA9PT1yd3entWvX0qtXr8r1uhDx8uVLSkxMpMTERLlewXxRZuZS0ViJ4h7HXDx69IgV2kJZT2hxSkpK6NKlSzRr1iypGNUi+AooKhPT6MKFC9S3b1/G+6Nv37508eJFhepQmfj4+NCsWbOIqEysSSgUssJgnD59murUqSN1XkxMDDk5OdG+ffvo8ePH9PjxY9q3bx+5uLhQTEwMpxefInXevHkz6ejoUEBAADk6OlLLli1ZxxctWkRdunSRKo9AICATExNmVllEXl4e5zWOj49nPMvU1dWZmbply5ZxerASEY0YMYLTA3TRokU0YsQIIiKaO3cumZub81qCq+w1UAY+XsRVhWQsRXEvbiLZ14yoLCSIo6MjbdiwgQ4ePEiHDh1ibeJ8+fKFbt68KeXdd+jQIWrQoAGpq6tL5c/HY0FZ8vPzafHixdSrVy/y8/OjOXPmcIaeqWy4VtIo49WsiKefOJJL78U3yViAGRkZ1Lp1aymvMm9vb9ZKHCJ+z421tTUT2kkyBJX4Jh52Spml9MqydetW6tSpk8IxUvl6Erdt25amT59ORGzPhIsXL3J6dZWUlNDChQvJzMyMVFRUmPR//PGHlIcmETHx/0TCtqL0a9eu5VxqaWZmxtmvycjIIDMzMyIq89oQec1t27aN9u7dK5V+7969vIQbK0plams8fvyY/vrrL7K3t/8uojZ8UUYYUNEQPVZWVnKfS8lnU4RIrV5FRYXxdldVVaWAgABOb+27d+9Sq1atFPbaJVLcu3zUqFFkYGBALVu2pJCQECb0VHl9eH19fZn95YqsILK1tZUbQ/3AgQOc/6mioVhEGBoaMm1zcHAw02c7deoUZ/58UVSETCAQ0OjRo5nrpK6uTgEBAVLXr6Io20eoyHJ0eWFARCjqmd2+fXu5An1LliyhDh06EFHV9009PT2pX79+dPPmTZo2bRoJBAKqV68es/Lrv4Rk27Zw4UIKCQmpUm0IefBdFVfe6oYfhTdv3nCGSGrZsiWtX7++UlaMc1FcXEzDhg3j1JIpj5UrVzJ9gjNnzpCmpiazInv16tUVKpe2tnaVrBARX8mXkpJCAwYMYFa5DRgwgFOsmQ/Z2dlkZ2fHvLM3bNjAOt6tWzeaNGmS1HmK/JfywtIpEqLuR+Tdu3f0zz//MKsxV65cyYRXEmFkZMQZolBEQkIC50oUvuODqrrniJS3AcmjvJBgshAQSbi//R+moKAAUVFR2LZtG65evYrS0lKsXLkSAQEBnN4YhYWFCAwMREREBOMFoqKigsGDB2Pt2rUVntU4deoUCgoK0LNnT9y/fx9dunTB3bt3YWRkhKioKMa7WJyuXbvi6dOn2Lp1K+NBdu3aNYwaNQrm5ubMrFaNGjUQHR0t09Pz/Pnz6NmzJ16/fi11TNwTOi4uDunp6Zye0F+/fkVKSgri4uIQHx+PixcvoqCgALVr14a3tze8vb2ZmfmFCxciPj4eSUlJsLKyQps2beDp6QlPT0/GE1ERLl++jMuXL6Nu3bro2rWrwud9DxISEuDn5wdTU1M8f/4c/fr1Q2hoKHN87NixKCgoQHh4OOs88Rk80Yy86DEW/87lxVce27Ztw9GjR2FiYoJ58+YxXrai8rRv3x49evSQKs/EiROxefNmrF+/HkOHDgVQ5j1kamoq5SHVokUL9OrVC1OmTIGenh7S09Nha2uLq1evomfPnnjy5IlUuQwMDHDt2jUpz/D79++jcePG+Pfff5GVlYUmTZpgypQpTB1WrlzJeEQBZTPgvr6+GD58OADlrwFQ1l4kJCQgNzdXylNGlpeZoijjjQ6U71ErFArh5+fHrCo4evQofHx8mNUfRUVFOHnyJOd9o6enh8TERLi6usote0ZGBrp06YLHjx8DKPPUDAkJQe/evZGRkYGRI0ciMDAQtWvXljr3w4cPLI+F+vXrszwWviWS3jgiBAIBNDU1YWdnh6FDh0JHRweNGzeGiooKZz5FRUU4fPgwevfuzdo/ceJEREREoEGDBgp7Nffp0wcPHz5ERESElKefnZ0d9uzZo1Rd8/Ly4OzsDGNjY4wZMwb29vYgIty6dQtbtmzBmzdvkJGRwdyPFXluFOHr16+YP3++ws9xRWjUqBHu37+PL1++wMrKSmollLiHqTIYGBggNTUVderUYbV3jx49Qv369fH582dW+oULFyI8PBwLFy7EyJEjkZGRAVtbW0RFRWH16tW4fPmyVPknT56MwYMHs/K/fv06/Pz8kJeXx0qvq6uLY8eOsTxlACA+Ph5du3bFhw8f8PDhQ7i6uuL9+/eoV68eNm3aJOXpl5CQgFGjRnGu4nry5AmOHDnC2TZy3dfyvMeBspVcNjY2rH2vXr1CYWEh47GTn58PbW1t1KxZEw8fPpSZ15cvXxATE4OdO3ciJiYG1atXx9OnT1lpZHkui9i2bRsAIDc3V246EfI8ahTxPJZ853758gUZGRnIz8+Hj48PoqOjWcdLSkqwdOlSBAQEcLazlcHo0aNx9uxZrFu3jvHqunDhAiZMmID27dsjJCSEld7DwwOqqqqYNWsWpzdhw4YNpX5D8p4TeZf7+PggICAAqqr/b/Hnp0+fsHfvXmzbtg1JSUno2LEjYmJikJaWBmdnZ846yHqnXb9+HZ6ennj//r3C/4c448ePR3x8PJKTk6VWPnz69Anu7u7w9vaWWkkSFhaGkydPIiwsTKHxg66uLjIyMmBtbQ1/f394eHhg5syZyM3NRf369VmetyLy8/MRGhrK6icEBARwehGKvOMaNGggtxxeXl7leocKBAKcO3eO81hhYSFnW8H1u8r0EXR1dXHr1i1YWlqidu3aiI6Ohru7O7Kzs+Hi4iLlgVxYWIgZM2Zg7969ePPmjVR+kv2jcePGIS4uDosWLeL0zBatWDUxMcHJkydl9qHE2+yqfscaGRkhMTERjo6O+PTpE3R1dREdHY1u3bopld9P/h9GRka4evUq6tSpo1D6w4cPs75/+fIF169fR3h4OBYsWCCzn7N//37s3buX89mpaL8lICAAwcHBUs9VQUEBxo8fz7wDvxUGBgZIS0uT6gfw5dGjR7h27Rpq1KiBnTt3YvPmzThy5Aj8/PygpqZWruevuLdvz5490bdvX6m+fUURCoVo2rQpRowYgb59+1bJ+KekpASZmZkwNjaWsrGkp6ejdu3a5a6QF/2XdnZ25b4j/qukpKSgY8eO0NLSYq3a/vTpE7NSHwA6d+4MMzMzzpXCADBixAg8e/YMx48fZ+3nOz6oqntORHk2oHbt2qFnz56scyZMmMC5KragoABdunRRbvWWUibt/wNkZWXR9OnTycTEhDQ1NTlFcEaNGkW2trZ0/PhxZkY9JiaG6tSpQ2PGjKmScsmauRShaKzETp06MR6nXAwfPrxcjwJ5ntC+vr6kr69PAoGAzM3NaeDAgbR161aZMz58BRSVRVJVXMTr16+/y0zerVu3aPXq1RQZGUmlpaWsY5s2beKMjSnPa2/NmjVSXnxVXWdR/gcOHCAdHR2aPHkyff36VaYXro6ODjMDLj5TmJ2dLVPkoWbNmpye8+Hh4VSzZk0iKovBJykkpQjKXIPU1FQyMTEhfX19UlFRIWNjY07h0S9fvkgJFuXl5dH8+fNp+vTpMr2S+HqjK+pRW16cOnnx6hwcHBSase/UqRO1bduWjh49Sv379yeBQED29vb0999/y51FTUhI4FQe//LlC+eM9LVr11ie54cOHaJu3brR77//zopt++rVK1b8YqIyL9GhQ4dSr169aNeuXZzlmTVrFhkYGFCrVq1oypQpNGXKFGrdujUZGBgw4o4izxZ5YlCyrhkfr2YRVeXpN2PGDHJzc+OMCVtYWEhubm6MF5cIZZ6bqqBHjx6MN5ukKJAiIkF8RSYTEhLkbpIYGxszz414e3f69GlOcZE6derQ2bNnpdLfvn2bDA0NpdJraWkxIkHi6R88eMDZnvbv359sbGwoOjqaWXkTHR1Ntra2NHDgQCIi2rNnDzVu3JiIykR5uESIsrOzOePPnT17lrS1tcnZ2ZlUVVXJ1dWVDA0NycDAQOZ9LR43z9DQkBF11tDQ4Iyjp6i2hjjnzp2jESNGULVq1cjAwICGDRtGZ8+e5exPSYqTdu7cmaysrMjAwIB1H8kSi1TEK5iv57Ek8oQBicruBb7iUXwwMjLiFJk8d+4c53tYW1v7m3ky3r17l37//XcyMzNj9GQOHDgglc7f35/atGnDih/55MkT8vT0lClKqwh5eXlkZmZGFhYWtHz5cmZ1UVBQEFlYWJCZmRmn4Lii2hEi3N3daebMmXT+/HnS1NRkxHcvX75M5ubmUulF4r/m5uZMm1i7dm0yMjJiiX+KUFaETFFevnxJnTt3VthjlG8fQYSLiwvTH27bti0jzBocHMz5P40dO5YcHByYVSnbtm2jRYsWUe3atTnbF0U9s9XU1OSu1Hr69ClrVVlVvmO54oQrIp78o1JSUkL79++nRYsW0aJFiyg6OpqJo/2tqSytj127dpG/vz/nseDgYNLV1aXAwEBSV1en0aNHU7t27cjAwIBmz55d4d+WNW589eqVzNVGmZmZdOLECZk6SxVh8ODBckVm+ZKWlsa0MeLPAh9v361bt5KlpSXNmzeP9u/fX2n1Pn/+PA0bNoz09PRIR0eHhgwZQufPn1e+suXw6tWrSvd6//r1K929e5cyMjI42+z/Cq1ataKhQ4ey6vDlyxcaMmQItW7dmtl37tw5UlFRoalTp7Le7Xl5eTRlyhRSUVGh2NhYqfz5jg+q6p5TFK4xvK2tLc2dO5e17+PHj9SqVStq1aqVUr/z0zhdDiUlJXTw4EFO4zTfzvm35M6dO3To0CGZwjnKPEilpaWUlJREQUFB5OvrS3p6eiQUCsnS0pKGDBnCWuLbt29f2rRpE929e1dmGcWXrvANG1JaWsoyTIWEhLCW9a5bt06qM0ck3SET8fTp0+8m9ldR3r9/T5s2baKmTZtyduirus7i+aemppKFhQV17NiRsrKyOMtjbm7OhBQRb4xFBhIuFi1aRFpaWjRhwgTasWMH7dixgyZMmEDa2tqMYu7KlSupXbt2Fa6PInh6etLIkSOptLSUqUNubi61adOGNQgWiaSKeP/+PVlYWJCxsTE1aNCAVFVVKSYmRip/gUBAkyZNIm1tbQoLC2P25+XlkUAgkErfu3dvatKkCUuEKTMzk5o0aUJ9+/atlDqfOnWKOnToUO5A1djYmBk05efnM0Kh5cF3EqVJkya0f/9+IiozxGlqalK/fv3Izs6OJk6cyKTr27cvTZkyhfn+4sULqlatGjk5OZG/vz+pqalxlk/RUDIA5IpBybpmyqCrqytzsoRLlV5k6Ja1iWjUqJFcZfg9e/ZwGkf4IrnMW7RNmTKFZs+eTdu2bVM4vIaIoUOH0vv374mIOEXEKlMkiEi2eJ8sg8rw4cOpe/fuVFxczITRefToETVq1Ih1n4rQ1NRkJlPE76XMzExO0RkbGxs6c+aMVPrw8HBycHCQSv/hwwcaMWIEM3EtFApJXV2dRo4cSR8/fiQiouvXrzP3mYWFBWen99ChQ5yGnaZNmzIdVVF5Pnz4QP7+/lLLR+Vx9+5datu2LZ08eVLqmK2tLedEWUpKCllbW0vtNzMzI01NTerevTvt27dPasJQEbiMwSoqKmRlZUXz5s2jlJQUSktL49y4qAznBklhQHH8/f3LDbtSkVApWlpanKJ/GRkZrJBwIpo0aaJQiAgulA2dV1paSkeOHKFu3bpxhpLKzc0lV1dXUlNTI1tbW7K1tSU1NTVq1KgRS2hQGXJycsjPz09q4sLPz0/m8nS+E2VxcXFkaGhIQqGQFd7l999/55yMU3SgLUJZETJF6d+/P3l4eFBycjLp6OjQ6dOnaceOHVS/fn2WQJcIZR0t+C7t5xsGRFGhMKFQKPf+lRdWrbIRCAQUFxdH6enplJ6eTjo6OhQTE8N8F23/Be7du0d169YlbW1tZiJHW1ub6tev/10M7hMmTCBDQ0Nq06aNlBAzn/A2Dx48kCk0V79+fdq9ezcRsd/7f/75p0xBXUX4999/mX77/fv3WeFs3r59S+Hh4WRqaipVTpGoJ9dEbWWwaNEiMjQ0pF9++YWWLl3KO5SXJOLGaUXIzc2Vcuir6rAVHz9+pG3btlGbNm1IIBBQ3bp1KSgoiJ4/f17hvN+9e0djx44lIyMj5joZGRnRuHHj6N27d5znyOobrFmzhjZv3kznzp2jkpISevjwITk7OzP5WlhYcDrV/BeQJcKbmZkpJby7ceNG5r0iEigUCoWkoaEhs+/Ld3zwLUKliAvvivPx40fy8vKS2n///n0yNTWlVatWEVGZnaNFixbUunVrZkzBl5/G6QrAt3OuKM+ePWPNfHp4eLC8J5o0acKp4inJ169f5XpZ83mQ+HpCy6I8Q6ooTUxMDM2YMYOaNm1K6urq5OjoyHrh7tq1i9WZ1tXVpdq1azMxEnV1dVnxOUWNqFAopCVLlrAa1pUrV1L37t3J1dWVV12+NwkJCTR48GDS0dGhunXr0syZM1kvgG9VZ0nj9/Pnz6lZs2Zkbm7OeY2nTp1KrVq1oufPnzMd/wsXLpCtrS3nAEzEzp07qXnz5szAqHnz5iyv18LCQk7Pz6rAwMCA8dozMDBg2oErV65Q/fr1mXR169alU6dOMd/XrVtHZmZmTLyqGTNmcDb2fL3Rq8qjVhxFB6pcHjnyJqnEz+MauN25c4fT8Kqvr88MPIKCgphYjRcuXGDNOFtbW7NiAf/9999Up04dZoD+999/U7NmzTjzFw1Kxbl37x6jZH379m2FjNPldRpEHqzlwdfTb9KkSaxt3Lhx5OHhQQYGBjRhwgQmnYGBAWddxetcGfeRl5cX6evrk46ODhNDT1dXlwwMDKhZs2bMe0gRrYfKhI9adn5+Pmt79eoVnT59mpo1a8Z4PEumb9euHRkaGpKKigpZWFiQmpoatWnThrPj5ubmRjt27CAi9r20YMECTi+EpUuXkqOjI125coX09PQoMTGRdu7cScbGxrRmzRqZdf7w4QNjgPjw4YPMdDNmzCArKytm4FFSUkKxsbFkZWXFeCCKI+6BZ2hoSBkZGURUNhjkiqEnj+TkZFZ7KkJRbQ0Rmzdvljng4oOkMfj58+cUFBRE9evXp1q1atHUqVM5+4RcVIZzQ0xMjMy0ISEhZGJiQlOnTqXdu3dzethIxpYWeayLr76RXA0kwsfHh3r16sV65xYWFlKvXr0448HHxsZSixYtKC4ujl6/fl1uHF+iinuXi8Nl1CQq6yefPn2a1qxZQ2vWrGEmemRRVFREWVlZCnuDvX37lq5evUpJSUlMLOzKpKSkRCrf7OxszvryGWgTEW3fvl3uVlFMTEwYQ66enh7jSHP48GHy8PCQSs+3jyCLnJwcOnDggEzjq6LGZhGKemYLBALq1KmTzJU9nTp1+qbGaXFDoqSR478UF9bPz498fX1ZE9uvX78mX19f6tSp0zcvjzKr4iQpLCykiRMnUr169TiPa2lpMZPYxsbGzCTo3bt3qXr16kqXvbz41yoqKoxDkIguXbpQt27d6NWrV6Srq0u3bt2ixMREcnd3rzSPX76aCOXB1zjNN31lc+/ePZo9ezbTf+RymFSUN2/eUL169UhHR4dGjRpFq1atolWrVtHIkSNJR0eH7O3tOd9V4n2E6tWrU/Xq1Zk+Qq1atUggEFCdOnXIz8+P7O3taffu3RQdHU0tW7YkNze3ilT/u1GzZk3WGF7EyZMnmVXb4jx58oRWrlxJY8eOpd9++41WrVold2zHd3zwLVDGEzo9PZ2qV69OwcHB1Lx5c/L09KxQ+X8apysA3865ovzxxx/022+/Md91dXVpwoQJjPdEs2bNOAeFIsLDw8nZ2Zk0NDRIQ0ODXFxcZHouKvog8fWElqQ8QyoX8sKGtGvXjiIjI5nvkgahkJAQltFP9BITCARkYWHBerHVq1ePOnToQFeuXJFbnh+B58+f07Jly8jOzo5q1qxJgYGBMkV/vlWdxT0XRXz+/JkGDx7M6cVWVFREI0aMIFVVVRIIBKSmpkZCoZAGDhz43Zbh8aVGjRrMs1C3bl3Gu+/27dusiSltbW2Wl1SPHj1Ys5KZmZlkbGwslT9fb3S+HrXKoOhAVSgUMh4X+fn5pKenR+np6TKNEaKBmVAolBq4+fv7k7W1NXXs2FGqPHp6esw1aNeuHeMB9ejRI9aKAHFPVKKygYxIgIKobGDL1ZlXNJSMssbp0tJSWrBgAdO2CYVCMjAwoIULF3Ku+iCqPE+/efPmsd4hsjzSxOtQGcJxq1atop49e7Kuf35+Pv3666+0evVqKigooG7dujETDYpSWlpKQUFB1LJlS2rSpAnNnDlTYSGO9PR0MjY2Jjs7O1JVVWWu3Zw5c2jQoEEKlyE+Pl5uB/zChQu0fv16Wr58uVwD2KFDh8jAwICCgoJIW1ub/v77b8bT+fTp01Lpv379SosXL2YGDQKBgDQ1NemPP/5QuOzyKCoqot69ezNttZqaGqmoqNCwYcNY4XNE1KpVizHQOjg4MIbQtLQ0mV5gsrh+/Tpn+9WlSxdq1KgRKxRBSkoKubm5VWjQVh7yjMGJiYkUEBBAenp61KxZM9q8ebPM55iIn3ODosKA4vD1sOEbKuXmzZtkZmZGRkZG5OPjQz4+PmRkZETm5ubMhARXefgIIirjXR4REUEtW7YkU1NTpt1ftWoVS7Q3NjaWHBwcOI3i+fn55OjoKGVUKSgooICAAFJRUWEJlQYGBsoVuVOGlJQUZoVYRcWvxOE70K5q9PT0mJVYlpaWdOHCBSIqMwKLG8uV7SMQlb0bQkNDqXPnzuTk5ETOzs7UtWtXCg8Pl+m8wzcMiKKe2RUJq1bZ5OTkKLT9F9DW1uYUF1fmnfM9EE3KizaRoUpPT0/mUn0bGxumbWjcuDFt3LiRiMpWOFZkVUN8fDzFxcWRQCCg6OhoVpjIS5cusRwjRBgZGTETPfr6+sw7JDY29od1+qpK4/S7d+9o7dq1yhZNJh8/fqRNmzZR9erVK2QonzhxIjk7O3OGlnr+/Dm5uLhwCiLu3r2bvLy8WKsR7t27Rz4+PhQZGUmPHz8mDw8P0tDQYK2SevbsGQmFwu9mbK0I48ePp9q1a1NkZCTl5uZSbm4u7dmzh2rXrs3p2awsio4PZFGZ95yyntCXLl0iHR0d8vHxUVoIUcRP43QF4Ns5VxRXV1dWx1jS2HHy5ElydHTkPHfFihWkra1NM2bMYDxkpk+fTtra2pUar0mEPE9oPoZUIn5hQ2rXrs1qICX/o1u3bnG+oL28vKrEe4WL5ORkioiIoIiICEpOTq5wfl26dGHiJx47dowx5JanSP8t6yyJvAmLR48eUUxMDEVFRSnkWfsj0b59e8Zre8SIEeTu7k47d+6kjh07kru7O5OuevXqrGtjamrKGug/ePCA02OJrzd6VcXOVAZZcVdlGSNEAzKBQEB9+vRhDdJGjRpFS5cu5YyH5u3tTYMHD6aIiAhSU1NjPH/j4+NZHpo1a9ZkLa03MjJiwoEQlXmacA1gFA0lA0Du8tjY2FjOazZr1iwyNjamDRs2MGnXr19PxsbGcmMG8vX04+LevXus9lF8QoFru3v3bqV4jZiZmXG2VRkZGWRmZkZEZR7LXKrW8li4cCEJhULq0KEDdevWjTQ1NVnL3OXBVy1bFrdv3660gfD58+epXbt2ZGxsTFpaWuTh4cFpVBKnqKiIMjMzKSkpifGE5uogfvz4kf744w9q0aIF1alTh2xsbFibLO7cuUN79+6lo0ePyjVadOvWjTZv3kxEZatk7OzsaPHixeTm5iZz0l7Sq/fQoUMUEhJCTk5O5OvrK5VeUW0NZeusjDFYRF5eHnl7e5NQKJQbooaPc4Ok952Pjw/16dOHNm3aVGnxHPmGSiEqM9hu3ryZicm/ZcsWmYOSuLg4uXoZXPD1Lt+wYQPVqFGDFi9eTFpaWsyzHBYWxnJW6Nq1q9z+cHBwsNR7c8KECdS4cWNKTEwkHR0dJu9Dhw5VmgFGUe0IEXl5eTRw4EAyNTUlFRWVcmM28x1oK6rroCxNmjRhJva7du1KgwYNoidPntCMGTNYId6U7SN8/fqVOnfuTAKBgFxdXalv377Up08fJgRBt27dOMvFNwyIJOV5Zv+kcqlWrRoTKlCcCxcuVEr4mYqgyKo4SUePiIgIOnHihNxx2/Dhw5mVpuvWrSMtLS3GAzMgIKDC5c7JyZE7uSqOoaEh44Rja2tL586dI6IyIxfX+KailLcqnKh8/RHRO1pRFDFOnz17lvr160eampoV8l6XJCEhgYYMGUK6urqkr69PI0aMkNIj4oOVlRVnuDQRJ06c4Oz72traynSCEvWjLl68SACkDN/iWlP/JYqKimjChAmsMHgaGho0adIkpcLDVTZVdc+V5wnt6uoqpYnRqFEjql69Otnb28vVylCEn8bpCsKnc64ohoaGrJdZjx49WA96dna2zAbf2tqa09tv+/btMgcYylCeJzRfQyrfsCEaGhos4/TLly9ZL9J79+5xxhiUpKSkhK5fv16pxtvHjx9Tq1atpAYYHh4eFYpjqKKiQpMnT5Yy5JZnnJakKuosjmjCwt3dvdKWQZWUlNDff/9NTZs2pVq1apUb+3DBggWcy34LCwtpwYIFFS5PcnIy0wF78eIFdezYkfT09MjNzY318vbx8WGE5M6fP09CoZAliHP69GmqU6eOVP58vdGrMnamLIOlLE9oeQYIecaI+fPn85pZT09PJ2dnZ9LX12eFgwkMDKR+/fox3/39/SkgIIBKS0tp3759pK6uzrr3jx07Rvb29py/oUgoGWWXx5qamsqM5Ssy1FYVERERrLiB5S3lrKwlvjo6OpzGpri4ONLV1SWisgkbvt7+dnZ2jOcQUZlBQV1dXaHBlXh4GHHjdE5ODqegoGRMzrS0NDpx4gR5enpyLkUfP348Z0zEtWvXShmEvnz5QgsWLKjwM/v582dasWIF1apVS+pY3759ydTUlGbMmEGrVq2i1atXs7aK8uDBA8Yo8/HjRxo9ejS5uLhQz549ZRq1uZ6bWrVqUb9+/eQKiN25c4cxaHNpa4jgW2dljMEXL16k4cOHk76+PjVt2pRCQkLk3n9V5dygLHxDpXwL+IbOc3BwoIMHDxIR+1m+efMma8LL0tJSbviV27dvk4WFBWufpaUlYxAQz/vevXuVtjqJr3aEr68vOTo60oYNG+jgwYOM8KJok4TvQFtS10FDQ4NT10FZduzYwWhqpKSkUI0aNUgoFJKmpiZrZaQIvn2Ebdu2kZ6eHtNXEyc2Npb09PQ4x0uSyDM2K+OZ/SNw9+5d6tu3r8zVA/369eMdtvF7MWjQIHJycqIrV64whsvLly+Ts7MzDRky5JuXR5lVccr8hvi7aM+ePTR+/Hhas2ZNpUwciSgoKKDbt2/LjUXeqlUrpt3t168f+fr60oULF2jw4MHk5ORUaWXhsyq8slcpyDJO5+bm0oIFC8ja2pqEQiH179+fTpw4QcXFxUrXk6hME2rJkiVUt25dxn6wbdu2SvE+VldXl9vHfPz4MWffV0tLi9PR7urVq0wfITs7mwBIObtwraD9L1FQUEA3btygGzdu8A4pJg8+4wMRVXXPSSLPE7o8fQx5WhmKICAiwk9+KHR1dZGYmIhGjRpxHr9+/Tpat26Njx8/Sh3T1NRERkYG7OzsWPvv3bsHFxcXfP78Wely5eXlYfv27QgNDcX79+/Ru3dvbNy4Eenp6XB0dGSlVVVVxYQJE/Dbb7+hbt26zH41NTXO9P369YO3tze8vb1Z6cXJyMiAs7MzAMDKygohISHo1KkTZ9qjR48iMDAQjx49Yu2fNGkSXFxcMHz4cJSWlqJNmza4fPkytLW1cezYMXh5efH9W6Tw9fVFfn4+wsPDUb9+fQDAnTt3MGzYMOjr6+PkyZOc56WkpOD27dsAAAcHBzRp0oR1/MqVKwgNDUVUVBQcHBwwaNAg9O3bF6amppz/qbJ1LigoQFBQEGJjY/Hy5Ut8/fqVdfzhw4ecv3P+/HmEhobiwIEDMDMzQ8+ePfHLL7+gadOmmDJlSrn/m4iVK1dK7Zs7dy62bt2KqVOn4o8//sCcOXOQk5ODQ4cOYe7cuZgwYQIrvYqKCp4/f46aNWuy9r958wY1a9ZEaWkp52+Xdw34kpCQAD8/P5iamuL58+fo168fQkNDmeNjx45FQUEBwsPDFc5T/DkQh4hw9uxZZGVlMeVv165dhcoPAEKhEAKBQOZxIoJAIJD5nyrKp0+fQETQ1tYGADx69AgHDx6Eo6MjOnTooHA+nz9/hoqKCtTU1AAAN27cQNu2bfH+/XuUlJRg9uzZWLRoEZN+0KBB0NHRwcaNG5Uqt2QbIwsrKyvWd01NTdy4cQP16tVj7b9z5w5cXV3x6dMnAMCaNWswatQoaGpqYs2aNXJ/Q/I56NmzJ+s7EeH58+dISUnBn3/+iXnz5gEou08VwdPTk/X98ePHEAgEqF27NgDg6tWr2L17NxwdHTFq1Cip8wcMGIDLly9jxYoVaNq0KQAgOTkZ06ZNQ8uWLbFjxw5ERkbin3/+QUpKisx2QyAQQFNTE3Z2dujWrRtMTU1x//59WFhYMGk0NTVx//59pmyyqFmzJk6dOoVGjRpBT08P6enpsLW1xZkzZxAQEIDHjx+z0oueB8muU/PmzbFt2zbY29uz9pubm+PIkSNo3Lgxa39qair8/f3x5MkT1n5dXV1kZGTA2tpabrmLioowf/58nDlzBurq6pgxYwa6d++OsLAwzJkzByoqKggMDMTMmTNZ5xkaGiImJgYeHh5y8xfnyZMnOHLkCHJzc1FcXMw6xtVe/2goU2dFeP78OSIiIhAWFoZ3795hwIABCAgI4GyfuSgsLMSuXbtYbfaAAQOgpaXFmf7Vq1e4c+cOAKB+/fowNjaWm39CQgL++ecf5p3m6OiI6dOno3Xr1lJpu3btiqdPn2Lr1q1wc3MDAFy7dg2jRo1i7uEjR44oVC8A8Pf3Z323sbHBsGHDMHToUFhaWiqUR9u2bWFkZISIiAhoamoCKHtPDBkyBG/fvsXZs2dZ6bW0tJCVlQUrKyvWs3zv3j00aNCAaVNl9ZNF3L9/Hy4uLkx6ANDW1kZGRgZsbW1Zeaenp6NNmzb4999/Ff5vZGFgYICzZ88ybaOIq1evokOHDsjPz2ft19PTQ2JiIlxdXcvNu7S0FBcvXoSLiws0NDTw4MEDAECdOnWYdy5XeVJTU1GnTh0sX74c586dw6lTp3Dx4kX07dtXqm0UUVhYyNlWNGjQQG4ZCwsLkZWVBUtLS9SoUUPqON8+QocOHeDj44NZs2Zx/t7SpUuRkJCAU6dOMfu+fv2K7du3Izo6Gjk5ORAIBLCxscGvv/6KQYMGsfpCRISuXbvi+PHjaNiwIezt7UFEuH37Nm7evAl/f38cOnRIbp3LY8iQIRg+fDjatGlToXwkGTVqFAwNDfHXX39xHp85cybev3+PkJCQSv3dqiA/Px9DhgzB0aNHmX5fSUkJ/P39sX37dhgYGHzT8vz+++8IDQ3FggULmHfOhQsXMH/+fIwcORJLlizhrENoaCjTVjs5OSEgIOCbl13Eq1evMGzYMJw4cYLzuHh//9SpUygoKEDPnj1x7949dO3aFXfv3oWRkREiIyPRtm3bCpdn5cqV+PPPPxEYGMj6T9evX4/Fixdj8uTJFcpfsq8sSX5+PhISElBaWoovX77g0KFD2Lp1KxITE+Hr64v+/fujX79+csfiiuLn54ezZ8+iRo0aGDx4MAICAhhbQmVgbm6OqKgotGrVivN4YmIi+vTpg2fPnrH2d+7cGXl5edi6dStjn7p+/TpGjhwJExMTHDt2DEePHoW/vz+EQiHrXNE4UfxzRceM/wsoOj6o6nuuUaNGnOP8R48eoWbNmqw+aWpqKvNZ1K9o0KABDA0NK1QGcVQrLaf/Q5w/f16hdMp2JurXr49Lly7JNE4nJiZKGTRE2NnZYe/evZg9ezZrf1RUlEyjryJ07doV58+fR+fOnbF69Wr4+vpCRUVFpkHnwoULCA0NRePGjVmGVFns2bOHc/+HDx+wZ88ebN26FdeuXWMas7Zt22LJkiWcxmkiwrJlyzhfiPv27cPAgQMBlBmwc3JykJWVhR07dmDOnDm4ePFiuf9FeSQkJODSpUusl0n9+vWxdu1azkHhkydP0K9fP1y8eJF5uPPz89GyZUtERkYyxpXmzZujefPmWL16NaKiorBt2zZMmTIFX79+xZkzZ2BhYQE9Pb0K13nEiBFISEjAoEGDYGpqKtcwyTVhUVRUhEOHDrEay+vXryv038n6rV27dmHLli3o3Lkz5s+fj379+qFOnTpo0KABrly5ImWUE38RipOeno7q1atL7Vf0Gojw8fFBdHS0VGP8/v17dO/eHefOnQNQZsy7du0aTp8+DRMTE/Tq1YuV3tXVFe7u7nL/E+D/PQehoaFISUmReqlHRESgT58+aN++Pdq3b8/sLy4uRmRkJAYPHiyV544dO7Bx40ZkZ2fj8uXLsLKywurVq2FjY4Nu3box6eLi4sotX2XQrVs39OzZE2PGjEF+fj7c3d2hrq6O169fY+XKlfjtt984zytvQqFBgwa4ffs2Ll68CBMTEzRr1ox1vG/fvhV6sUsanRWlYcOGWLdunZTBed26dWjYsCHzfdWqVRgwYAA0NTWxatUqmfkJBAKp50ByYCMUClG/fn0sXLiQNZiXNDorSv/+/TFq1CgMGjQIeXl5aN++PZycnLBr1y7k5eVh7ty5rPSbNm3C5MmT0bdvX5SUlAAom8gcMmQIUzd7e3ts3boVQFm7kZqaitLSUqY9vXv3LlRUVGBvb48NGzZg6tSpKCkpYYxXItTU1PDly5dy6+Dv74+FCxdi7969AMr+x9zcXMycORO//PKLVPrs7GzWd6FQCGNjY6nfF/HmzRvOAaa+vj5ev34ttb9t27ZISEgo1zg9d+5cbNq0Ce3atcOlS5fQq1cvDBs2DFeuXMHKlSvRq1cvqKioSJ1XrVo1zjZQFrGxsfD394etrS2ysrLg7OyMnJwcEBFjxBTH1tYWycnJMDIyYu3Pz8+Hm5sb5+Tm+fPnYW9vLzWZ+OXLF1y+fFmqLxUQECC3zNu2bWN951tnEeUZgy0tLWFubo4hQ4bA398fampq+Pr1K27cuMFKJ8sop62tjZEjR5ZbjoKCAowfPx4RERHMZLGKigoGDx6MtWvXchoXd+7ciWHDhqFnz55Mu3Dx4kW0bdsW27dvR//+/Vnpt23bhiFDhqBJkyYsA0/Hjh2Z57F79+7llhUA58Bz4sSJ2L59OxYuXAhvb28MHz4cPXr0gIaGhsx8goOD0bFjR9SuXZtpE9PT06GpqckyKIqwsbFBWlqaVJt88uRJODg4MN/Nzc3lGqdv3LgBU1NT1r4mTZogJiYG48ePZ+oIAFu3bkWLFi1k1oEPX79+Zf57cUT3lSQWFhZSk2SyUFFRQYcOHXD79m3Y2NjAxcWl3HOIiPnds2fPokuXLszvcrVdfAxaALBw4UJMmzaNuX+1tbXh5uaGT58+YeHChVLvD759hBs3bsg0vgJlRiDx9y8Rwd/fnzE2u7i4MMbmoUOHIjo6mmVs3r59O86fP4/Y2Fh4e3uz8j537hy6d++OiIgIzv6Xovz7779o164drKysMGzYMAwZMgTm5uZK5yciISEBO3fulHm8d+/eUm3Ej4qhoSEOHz6Me/fusSb6ZD3fVU14eDi2bt3KmqBr0KABzM3NMXbsWCnjdEpKCjp27AgtLS1mPLBy5UosWbIEp0+f5nzPlmeHqOhkxqRJk5Cfn4+kpCR4eXnh4MGDePHiBRYvXowVK1aw0nbs2JH5XLduXWRlZeHt27eoVq2a3PEjH9auXYuQkBDWs+Tv7w8nJyfMnz+/wsbp8iYBDAwMmN82NzeHvb09Bg4ciMjISFSrVg1AmZNdZaCmpob9+/ejS5cunH24itKxY0fMmTOHcWwQp6ioCH/++Sd8fX2lzgsNDcWgQYPQuHFjVh+hbdu2jNOVrq4u/v77b6kJ1v8a5fUxgbI+gLizmTIoOj6o6ntO0b6dJOL9iso0Tv8M66EE5QnNiBRtleWvv/6i6tWrcy4hS0tLIyMjI/rrr784z92/fz+pqKhQx44daeHChbRw4ULq2LEjqaqqUnR0tNJlUjakxMePHyk0NJQ8PDwY4bvVq1dLhSyQpLywIffv3yd9fX1yd3envXv3UlpaGqWlpVFUVBQ1bdqU9PX1mRi04mhoaDDLWUaOHMksm3j48GGlLc2sW7cuo+4tTlJSEmcIh44dO1KzZs2khIhatGghU+RFPN306dPJxMSENDU1OcWg+NbZwMCAEaaRh7IxsJVBW1ubUU83MTFhhLAePHhA+vr6TDqRsIhQKJQSGREtsRs7dqxU/nyvgWRMaBEvXrwgVVXVCtdXhKJCorIE7V6/fs25FE3R2JzfEiMjI2Y5+5YtW6hBgwZUWlpKe/fu5Qy7UVXhc0TwDSXDl/j4eNLR0SEHBwcKCAiggIAAcnBwIF1d3QornD948IDXkmK+oVtEGBoaMs9McHAwtWzZkojKRHnkxS/+8OEDszxUFB+ZC0UFFAFICWWpqqpShw4dWPu4UFQte9CgQaz3VlpamkLL6JycnDiFStasWUMODg5S+0NCQsjExISmTp1Ku3fvlorHLMLGxob5fvPmTRIIBDRs2LByr/uOHTvo119/VXhpYtOmTRnlblE4gw8fPpC/vz9t2LBBKr2stjEvL09mqC2BQEAmJiZScRRliYl2796dtXXu3JmsrKzIwMCA8zrzrfPHjx9p2LBhpKKiwvTtVFVVKSAggJUHV99Pnvig5LWUt4mjjDCgvb09Z1zlFStWyAxjRKR4qBRluXbtGo0fP55q1KhB1apVo3HjxrGELSXhEzpvy5YtZG5uTpGRkaSjo0N79uxhxEL37NnDpAsMDCRnZ2dWvG8RhYWF5OzszBIuJioTvNTV1aUxY8aQpqYmTZw4kdq3b086OjqUkpKi5L/Bhq92xKlTp6hDhw6MqGB5NG7cmM6ePatweRTVdRDRv39/8vDwoOTkZNLR0aHTp0/Tjh07qH79+nTs2DGp9Hz7LXz7CGpqanLDAj19+pTVJvENA9K+fXu5YphLlizhLe7LxcuXL2nFihXUoEEDUlVVJV9fX9q3b1+FlnFLCkVLkpOT893C+fzX0dDQ4Gw7s7KyWGLdIlq1akVDhw5lhen48uULDRkyhFq3bs35G/LsD5URgs3ExIQZx+rp6TH1OXz4MBO+rLy4zj169KBevXrR+PHj6ciRIxUqj4aGBueY/u7du5whKKqSatWqUZs2bWjz5s2svmlVjH2rgsePH1OtWrXI0tKSli9fzuh8LFu2jCwsLKhmzZqUm5sr8/ysrCymjyA+Zv5fQrKPKb517dqVtLS0ZD5n7969oy1bttCsWbMY3ZFr167RkydPpNIqOj74VvdcSUkJJSQk0Lt37xQ+h2+/QhF+GqeVID8/n3N79uwZzZw5k7S0tCoUZ6m4uJjatGlDqqqq5OfnR5MmTaJJkyaRn58fqaqqUuvWreV2SlJSUmjAgAHk5uZGbm5uNGDAAIUUvz99+kTbt2+n9evXSxmhL1++TCNGjCA9PT1yd3entWvX0qtXr3g9GOUZUvkKKCYlJZGDg4PUwNDBwYGuXLnCeY6lpSWdOnWKSkpKyMLCgukwZ2RkkKGhoUL1KI9Dhw6Ru7s7KzZTcnIyNW/enInLJY6mpqZMISJFO4clJSV08OBBTuM03zpbW1vLjccoorJiYCtCvXr1mGvq4eHBDAgiIyPJ2NiYSbd9+3YKCwsjgUBAwcHBLJGR3bt306VLlzjzV/QaiAxqAoGAJYKXnp5OqamptHTpUl4ialzwfQ6IyjqqXIJJaWlpnIZURWNzfku0tLSYCYhevXoxsapyc3M5n4OKTOoowp9//kmmpqb0zz//kKamJi1atIiGDx9ORkZGnDHClOHp06c0e/Zs6tmzJ/Xs2ZPmzJnDqYYuQtFY6pKD/t69e3Mqc4tQNua0jo4OYxjp2rUrBQUFEVGZ2CnXIEwcRYSCFBVQ1NDQqHB8wcTERLlq2ZL/qZ6enkIxOUNDQ0lLS4vmzp3LxFv/888/SVtbmxEOFKe8yW8RampqrM6upqYmS7xMFq6urqSnp0e6urrk7OwsJWgiia6uLhOT29DQkDEOpaWlsdo60WBFIBBQREQEy9AaHR1N48aNo3r16nGWSSAQ0KRJk0hbW5uJQUtUZpwWCATl1omoLAbnqFGjaPny5RWus6LG4JycHIU28Xoqskk+a3yFAYnK4kpyDebv3btXocF8bGwsOTg4yIxV6+joqNDkWnFxMa1evZoRmmvYsCGFhoZWOE7vzp07yc7Ojvkvzc3NaevWraw0eXl5ZGZmRhYWFrR8+XImRnNQUBBZWFiQmZkZZ3t5//59GjFiBDVt2pQcHBxowIABCj1zisJXO8LQ0JCJH62rq1vuBOqJEyfI1dWVjh49Ss+ePSt38lFRXQcRihi0xJHVb4mNjeW8r/n2EYRCIWf+IiQnv/gam2vVqsUpECYiNTWVM+5/Rbh27RoFBgaSpqYm1ahRgyZNmqSUoHitWrUoNjZW5vGzZ89WetkrE0nRWnnbt8bd3V1qcouo7Llp1qyZ1H5NTU26ffu21P7MzEyZY0BJ+8OrV6/o9OnT1KxZs0oxFOnp6TF9O0tLS8Zh6eHDh0yZFOlzDR48mHx9fUlLS4v+/PNPpcvj5ORES5Yskdq/aNEicnZ2VjpfZfj06RPt3LmTvL29SUtLi3r27EnR0dGkpqb2nzBOE5VdR19fX9aEulAopI4dO3L2G35SxqFDh8jR0ZEMDQ053xXp6elkbGxMdnZ2pKqqyowR5syZQ4MGDZJKr+j44FvecxoaGrzEK/n2KxThp3G6EigtLaUtW7ZQ7dq1ydLSkrZt21Zh0YOioiJatmwZNWzYkLS0tEhLS4saNGhAy5YtqxSF0MmTJ1NgYCDr90SdYgMDA9LR0eE05CnrCS0OlyG1Il64169fp6ioKIqKiirXCD9v3jwyMDAge3t7srS0ZP7L0NBQat68ucJ1kIf4gEFdXZ31mWvwwNfTmi9866yol5myExafPn2iv/76i/z8/Khx48blGgqIiGbOnMl0TCIjI0lVVZXs7OxIXV2dZs6cKZU+Pj6el1eJotdAnoecQCAgbW1tCg0NVfh3JeH7HIgUc4VCIbm4uLD+xwYNGpCenh716tVL6jxxrxlx4/Tdu3fLNSpWFS4uLhQcHEy5ubmkr6/PtD8pKSmcg6TKmNSRh62tLTORI26gCw4O5hyY86G4uJh8fHx4DyoV9TST9F4Vv8ZciAtVxsXFkZaWFu3atatcEUt3d3eaOXMmnT9/njQ1NSktLY2IytoGc3NzqfR8hYKqSkBRGfj+p+Js2LCBzM3NmXbCxsZGISEueUgaXnR1dRXqUPIVL6lVqxYzWeng4MB49aalpZGOjg6TTlIEVHxTV1enevXq0dGjR2XW5cWLF3TgwAHS0dGhyZMn09evX2V6TssiKyuLTExMKlxnZYzBVQlfYUAiojp16rBEQkWEhISQnZ2d1P5hw4bJ3UR07dqV0yNbRHBwMKeXr4ji4mKKiooiX19fUlFRYYSeFi5cSLVq1aLWrVsr5V0uSUFBAWdbKSInJ4f8/PykBud+fn68BmaVzdevX+n06dO0Zs0aWrNmDedEmQjxyXeuTRJZXpZ8BW8/ffrE2b9SxKBFpPwKN759BIFAILWiRnzr1KkTq958jc18PbMryrNnzygoKIjq169POjo6NHjwYGrbti2pqqrKfSa56NWrl9zn1N/fn3799deKFrnKkBStlbV5e3t/87LxXRVXs2ZNOnXqlNT+kydPUs2aNXn/tpubm9JlF9GkSRM6efIkEZW1+YMGDaInT57QjBkzyNbWlnd+R48elRKZ5UNVrQqvKPfv36c5c+ZQ7dq1SSAQUP/+/en06dPM2O1H5+3bt5SUlERJSUmMl+9PpLlw4QK1atWKtLW1acaMGfT27VvOdG3btqXp06cTEXuMcPHiRZmOa3zHB1V9z/H1hK6sfoU4P43TFeTAgQNUv359ql69Ov3999+VYjhWhqdPn9LUqVNlerNMmzaN5Qni5OTE6txv27aNqlWrRjk5OfT161caOnQoderUSe5vKhJSQlG+pRfuvn37aOXKlSxPlO3bt3OqmytDeQMGycEDX09rZeBTZ75eZnwnLPr37081atSgMWPG0Lx585RSdr106RKtWLFC7lKx0tJSunPnDiUmJlJCQgJrk0TRa5CTk0PZ2dkkEAgoOTmZ5R337NmzCr8c+D4Hov9MIBDQtGnTWP/j0qVLaffu3ZzK3Q4ODsy1F3+BrlmzRuYEAR+Ki4tJRUWFbt68qfA5+/btY+6fdu3aMfuXLl1Kvr6+UumrelJH0VAyylKjRg3exmlFPc0qYkjlkz4uLo4MDQ1JKBSyDFi///47Z3iFWbNmkbGxMW3YsIFZcbB+/XoyNjam2bNnS6Xv378/2djYUHR0NONpHR0dTba2tjRw4EAiKlOpb9y4scJ1kyQ4OJhzW7NmDW3evJnOnTtHJSUlFf5PicqWZ8sLY8IHScMLVxgTWaFM+NCtWzfGg2Pq1KlkZ2dHixcvJjc3N2rbtq1Uemtra3r16hXvuoj+29TUVLKwsKCOHTtSVlYWr85tTExMpRiPlTEGVyU+Pj7Uq1cvVhiKwsJC6tWrF+c1ICob8Kirq9OYMWMoIiKCIiIiaPTo0aShocFptFY0VIqlpaXclVW3b9/mNEKIPD6NjIzI2NiYpk6dKuUtePPmTQKglHe5srx9+5auXr1KSUlJMgecRGWDzrCwMKU9geRRWd7o5SE52Vje5KOIlJQU2rFjB+3YsUNuCBZFDVrKrnDj20dQxLNTfEUNX2MzX89sZSguLqb9+/dT586dSU1NjRo3bkwhISGseyU6Opr3ys/U1FTS0NCgX375hZKSkhgP3CtXrlDPnj1JQ0ND7rX+iXz4rIobP3481a5dmyIjIyk3N5dyc3Npz549VLt2bSYMo6Lcvn2bNWmsLDt27GBWMaWkpFCNGjVIKBSSpqYmRUZG8s7v3bt3Fe6PKLsq/FtQWlpKx48fp19++YXU1dW/2wrUn1QumZmZ1KVLFyasW3mrPfX19RlHJvExQk5OTrkr1viOD6rqnuPrCa1sv0IeP43TShIfH0/NmjUjbW1t+v333yk/P/+7lmfq1Kk0cuRImcdHjx5NM2bMYL7r6emxlm707duXdf7169fJ1NRUod+WF1JCUSojbMh/Fb6e1lUNXy8zcRSZsNDX11copnVFuHz5MtnY2JQbA1TEj3INlH0Otm/fzhk/UxaKxuasCDY2NownraI8f/6cUlNTWV60SUlJnEseq3pSR9FQMiIKCwtZqw1ycnJo1apVnB4xRESTJk3i9Prngq+nmbJeteLpFTW8lpSUSBl1srOzOb0WTU1NOT0eDx06xITpEOfDhw80YsQI5nkUPZMjR45k4kFfv35drrdbeVhbW5OOjg4JBAKqXr06Va9enQQCAeno6FCtWrVIIBBQnTp1pEL56OjoUExMDCu0D5dOhDLEx8dTly5dqE6dOlSnTh3q2rWrlHGKr+FFWR48eMDU6+PHjzR69GhycXGhnj17yo1ZygdJw//z58+pWbNmZG5uztleSy7bnjRpEvXp04d0dXVp3LhxFS6PMsZgRVHEECk5gXrz5k0yMzMjIyMj8vHxIR8fHzIyMiJzc3MmzAoX0dHR5OHhwdzXHh4evCbhuUKlyIr9KeLevXucq29ES4b37t0rc1XTx48fed+zotVDimwVYcKECWRiYkJaWlr066+/0qFDhyoU81ccvt7oymoEPHr0iDNsytevX5mJWHFevHhBXl5eUroOPj4+nEZZvgYtvivciPj1EfjC19jM1zNbGYyMjKhatWo0duxYme+5d+/ekbW1Ne+8jx49SsbGxlJhvIyNjctdmfAjUFJSQunp6Zwx6AsLCyk9Pb3Cq5i/BUVFRTRhwgRWP0dDQ4MmTZok0+FNst+RlpZGJ06cIE9PT84QOhWloKCArl27xnviuaL8F66fJKIY8T/575Kbm0tDhw4lVVVV6t69u0KhTomIjI2NmQkT8XHU6dOnqXbt2lVW3sq856rCE5p3GYgUlHr+CUOnTp1w9uxZBAQEYP78+TAxMfneRYKzszM2btyIVq1acR6/dOkSRo4ciczMTABl6sbJycmoW7cugDKV8z///JNRKM3JyYGDgwM+ffr0bSrw/1NQUICoqChs27YNV69eRWlpKVauXImAgADo6elVym8kJCTgn3/+we3btwEAjo6OmD59Olq3bl0p+QNlquQHDx5k/Ua3bt2gqqoqlTY8PFzhfIcMGaJUeb5FncUpLS3F0aNHsW3bNhw5coR1zNHREZGRkWjQoAGvPO/du4e4uDi8fPlSSrleUtXd1dUV9erVw4IFC2BqaiqlGC2pjqvoNcjLy4O3tzejqA0AsbGxWLx4MQoKCtC9e3fMnj1b5vkpKSnMNXBwcECTJk04032L52DXrl2YP38+Hjx4AAAwMzPDggULMHz4cKm0X758gZaWFtLS0uDs7KxQ/qGhoYiOjsaOHTtQvXp1XmV78uQJAKB27doy01SrVg2FhYUoKSlhnivRZx0dHVbat2/fIjU1FWpqanBxcQEAHD58GGFhYXB0dMT8+fOlVKtnzZoFfX19zJ49G1FRURg4cCCsra2Rm5uLyZMnIygoiJW+Q4cO6NmzJ8aMGYP8/HzY29tDTU0Nr1+/xsqVK/Hbb7+x0o8fPx4RERGoW7cuGjduLFXmlStXMp/Dw8NBRAgICMDq1atZ96+6ujqsra3RokULZp9QKISfnx80NDQAAEePHoWPj4/Ub0RHR3P+t3p6ekhPT4etrS3ncXFKSkoQHx+PBw8eoH///tDT08OzZ8+gr68PXV1dVlpNTU3cuHED9erVY+2/c+cOXF1dZb5vPn78iIcPHwIAbG1tpfKtCHv27MHmzZuxdetW1KlTBwBw//59jB49GqNGjYKHhwf69u2LixcvQigUgqvLJBAIQEQQCAQoLS2Fm5sbYmNjUa1aNTRq1EiuYn1qairr+86dOzFs2DD07NkTHh4eAICLFy/i4MGD2L59O/r378+7jtWrV8fdu3dRo0YNVKtWTW553r59yzt/ALh8+TLevHmDLl26MPsiIiIwb948pm1cu3Ytc0+KM2zYMKxZs4bVthUVFWHUqFE4f/48srOzWem9vb1Z34VCIYyNjeHj44OAgACmPSivriIk65yRkYGOHTuiqKgIDRs2BACkp6dDU1MTp06dgpOTU7l5ysLf3x/e3t6YPHky5/E1a9YgLi4OBw8eZO0vLCzErl27kJWVBaDs/TFgwABoaWkpXRZFuHPnDry8vPD8+XMAQJ06dbBixQqZ6u7R0dGYNm0a87yKePToEaysrBT6zXPnziEwMBBXrlyBvr4+69i///6Lli1bYuPGjWjdujUWLFjAHPv8+TM2bNgAR0dHpj28cuUKMjMzMXbsWCxbtkzRanPy9etXnD17Frt378bBgwehoqKCX3/9FQMGDICnp6fS+VpZWeHkyZNwcHDgPJ6VlYUOHTogNzcXQNn9Lu++Fm+LxFFRUcHz589Rs2ZN1v43b96gZs2aUun79OmDhw8fIiIiginbrVu3MGTIENjZ2WHPnj1y61VYWIisrCxYWlqiRo0actN+/vwZxcXFrH2S114cRfoIfJF8b0pSVFSEkydPMv/TsGHDFMo3LCxM6TLt2LEDvXr1gqamptJ5yOPTp084efIk7t+/DyJCvXr10KFDB2hra1fJ71Um27dvx7p165CUlAQVFRXWsZKSEjRv3hyTJk3CwIEDv0l5RM9neVhaWnLuLywsZPrjderUkXsNRG2AZH+kefPm2LZtG+zt7RUs9Y+NZJs1ffp0/P7777zHFP8lJMfMsvD396/ikiiPMmPGHwltbW0IBAIEBgYy/XAuJK/BiBEj8ObNG+zduxfVq1fHjRs3oKKigu7du6NNmzZYvXp1hcYH34KEhAS5x7n6Ovn5+QgNDWXsG05OTggICJCytSjKT+O0EgiFQsYAUhWDPGXQ0dHB7du3Zb70cnNz4eDggIKCAgBAixYt0KtXL0yZMgWZmZlo0KAB7t+/DxsbGwBlN+eQIUOQk5PzraogxZ07dxAaGoodO3YgPz8f7du3V7jRlkVVDPwlyczMhL+/P/Ly8lC/fn0AwN27d2FsbIyjR49+84Za2Tpfu3aN1dA0atSoUspz4sQJrFmzBhs3blR4sLplyxb89ttvqFGjBkxMTFjPnUAgkGrAdXR0kJ6eDjs7u0ops4gePXrAxcUFCxcuBABkZ2fDyckJrVu3hr29PbZt24ZFixZh0qRJrPOePHmCfv364eLFizA0NARQ1pi3bNkSkZGRcgdYijwH5Q1WxQedJSUl2L17Nzp27IhatWqhsLAQHz9+lBqwSmJra4uDBw8yxpryaNSoEe7fv48vX77AyspKyjAqec2+fv2KxYsXY8WKFfj48SOAMiPp1KlTMWfOHAiFQlZ6vpM6TZs2xaxZs/DLL7/g4cOHcHJyQo8ePZCcnIzOnTtj9erVcvO4fPkyLl++jLp166Jr165Sx2vUqIGEhAQ4OTlh69atWLt2La5fv44DBw5g7ty5zLMkQtLAJo5AIMC5c+ek9ickJMDDw4Nzkkucig6a9fT0cOPGDeZ9IItHjx7B19cXubm5KCoqwt27d2Fra4uJEyeiqKgIGzduZKVv1qwZmjVrhjVr1rD2jx8/HsnJybhy5YpC5a5M6tSpgwMHDsDV1ZW1//r168y9cunSJXTv3h3Jycnl5mdlZYUFCxZg+vTp0NbWxvz58+U+m/PmzWN9d3BwwKhRo6SMlytXrsSWLVuk7iNFCA8PR9++faGhoVHucyM5AWpra4vk5GQYGRmx9ufn58PNzY0xQvr5+cHLywszZ84EANy8eRNubm4YOnQoHBwc8Pfff2P06NGYP38+r7JnZGQo/c5UtI3gmvStKmMwX0MkXywtLXH9+nXmeq1btw6DBw+Wa+iTx/HjxzFkyBC8evUKQNmzGh8fj+TkZCmD2adPn+Du7g5vb2+pZ1ycz58/IyoqCgUFBWjfvj3jJCFCWQP+iBEjYGpqikWLFrH2z5s3D48fP8a2bdsUrnd5fP78GUePHsWSJUtw8+ZNKcMuHzQ1NZGRkSGzv3L//n24uLgwk3flDR5FSA4ihUIhXrx4AWNjY9b+R48ewdHRkRkfiDAwMMDZs2fRtGlT1v6rV6+iQ4cOyM/PZ+1fuHAhpk2bJmVU+/TpE/7++28pJ4LCwkLMmDEDe/fuxZs3b6TKL/mf8u0j8OVbGJv58F838FQ1rVu3xrhx49C3b1/O43v37sW6detw/vz5b1IecQO5yLQi/u6XNWmkDI8ePWJ9F03QVsYkRkFBAZYvX47o6Gjk5ORAIBDAxsYGv/76K+fzXZUIhULk5eUx4xN9fX2kpaUp5DjxX0WRdqyy7iNlKCwsRG5urtRkoqTDGd8x44+Estfg33//xa+//oqUlBR8+PABZmZmyMvLQ4sWLXD8+HHo6OhUaHzwI5KSkoKOHTtCS0uLcdxLTk7Gp0+fcPr0abi5ufHO86dxWgkqMuCpKmrUqIHo6Gi0adOG8/j58+fRs2dPvH79GgBw8OBB9O3bF61atUJmZiaaNm2Ko0ePMulnzpyJ7Oxs7N2795uUXx7yvHD5UhUDf0latGgBY2NjhIeHo1q1agCAd+/eYejQoXj16hUuXbokdQ4fT2u+8K3zy5cv0bdvX8THx7MMqd7e3oiMjJQa2PDl1atX6N27N86fPw9tbW2oqamxjnNN6lhZWWHs2LGM4aM8fHx8MGPGDPj6+ipcLkWugYWFBfbu3ct4ZS1evBj79+9HWloagDJv4bVr1zLfRfj6+iI/Px/h4eHMhMWdO3cwbNgw6Ovr4+TJkwqVT9ZzcOjQIdYL7suXL7h+/TrCw8M5vaG1tbVx+/ZthScHRHXj4wkt7tHGheRL9/fff0doaCgWLFjATKJcuHAB8+fPx8iRI7FkyRKFy8qFgYEBUlNTUadOHSxfvhznzp3DqVOncPHiRfTt2xePHz+uUP7a2tqMl1jv3r3h5OTEGEXq16+PwsJCAMDDhw9hY2OjkEenJMePH4eKigo6duzI2n/q1Cl8/foVfn5+SpW9Z8+erO+Kelp3794denp6CA0NhZGREeNtHR8fj5EjR+LevXus9AkJCejcuTMsLS2ZZ+jy5ct4/Pgxjh8/LrWSo6CgAEFBQYiNjeVcMSHpnakM2traOH/+vNQqhuTkZHh6eqKwsBA5OTlwdnZmDCJViYaGBjIzM6UMVffv34ezszM+f/6sdN6SE1OKIDk4FPHixQtYWlqiqKgIAGBqaoqjR48y/+OcOXOQkJCACxcuAAD27duHefPm4datW+X+5ocPH7Bnzx6EhoYiJSVF5iDs1atXuHPnDgCgfv36FX43KYuPjw+io6OZ96WI9+/fo3v37qyJJkUNkVFRUQr/vrj3jrKD+SlTprC+ExGeP3+OmJgYDBkyBOvWrQNQdt3d3NygoqKCwMBA5n2WlZWF9evXo7S0FKmpqcz9NWXKFHz58gVr164FABQXF6NZs2bIzMyEtrY2SkpKcObMGdbKD2UN+AYGBkhJSZEydt+7dw9NmjTBv//+K/c/UJS8vDxERkZi586dSE1Nhbu7e4Um1pT1RlcU0bUNDg7GyJEjWcal0tJSxvP04sWLrPP09PSQmJjIOXHn6emJ9+/fs/bz9cweN24c4uLisGjRIgwaNAjr16/H06dPsWnTJgQFBWHAgAGs9FXdR/gRqSoDT6dOnbBnzx7Gsy0oKAhjxoxh2rA3b96gdevWCrXX34uaNWvi6tWrsLa25jyenZ0Nd3d3ZmKtqlFVVUXt2rUxdOhQdO3aVeb4rWHDhlJ9LnmI97s+ffqE2NhYZoXS77//zryDRWVYuHCh0kbq4uJitGzZEhkZGfDz84O9vT2ICLdv38bJkyfh5uaG8+fPS43bqgrJ9xmfVX0/qVxevXqFYcOG4cSJE5zHJdv3iqye/a9z8eJFpKen4+PHj3Bzc0O7du2+d5F4wccTunXr1rCzs8OWLVtYq5hHjBiBhw8fKjU5WHHL1/9BvqXRWVGaNWuGHTt2yDROR0REsEIR9OjRA8ePH8exY8fQoUMHjB8/npVeW1sbY8eOrdIyK4poSYR4x/3GjRsKnSs5k/fw4UNOr0d/f3+54Rj4kJaWhpSUFMYwDZQtL16yZImUBwrA7Wm9fPnySvO05lvn8ePH48OHD8jMzJRayjlhwoRyl3KWR79+/fD06VMsXboUtWrVUshI9+7dO/Tq1Uvh3xg/fjymTp2KvLw8uLi4SHWkJO8LRa/B69evWV7OcXFxrP/Wy8sLU6dOlSpPQkICLl26xOQNlBlT1q5dq3BoFa7nQATXvl9//RVOTk6IioqSMk67u7vj+vXrvIzT69atw/3792FmZqaQJzTfGd/w8HBs3bqVZWhp0KABzM3NMXbsWKmB59OnT3HgwAHcvXsXQNn/2bNnT5ibm3PmT0SMcfPs2bNM597CwoKZtDty5Aj8/PygpqZW7kSY5HIuOzs7HDp0CD169MCpU6eYyaCXL1+yvBbr1q3LGsD36dMHa9asUchYOGvWLKlwIqK6zZo1S2njtGSHQ9FlsImJibh06ZJUSBRra2s8ffpUKr2npyfu3r2L9evXMx6pPXv2xNixY2FmZiaVfsSIEUhISMCgQYM4w/NwsWPHDmzcuBHZ2dm4fPkyrKyssHr1atjY2KBbt25S6b29vTF69Ghs3bqVWR1y/fp1/Pbbb/Dx8QFQ5gVcnhe5LEaMGIGBAwfCy8tLofQWFhaIjY2VMl6ePXsWFhYWSpVBhKqqKsaMGaPQJKz4/X/q1CnWPVJaWorY2FiWUeDdu3esezghIYF1PzZt2rTcCaDz588jNDQUBw4cgJmZGXr27MkYRcUpKChgwuKInmkVFRUMHjwYa9euVcqzi8/Et+SzHx8fL+VFBJR51yYmJrL2mZubyzVO37hxA6ampjINlZKU50GlqP/J9evXWd9FnngrVqxgwr0BQK1atXDp0iX89ttv+P3331kegh07dsT69etZ98Hp06exdOlS5vuuXbvw6NEj3Lt3D5aWlggICMDixYsRExPDpHnx4oVc44eqqiqnwUlLSwsXL16UMk5fvHixwh6F79+/x4EDB7B7927Ex8fD1tYWAwYMQFRUFBMOSFk6deqEP//8E76+vpze6PPmzWOFy+GL6NoSEW7evMlqr9XV1dGwYUNMmzZN6jwfHx9MnDgRe/bsYdrnp0+fYvLkyWjbtq1UepFnqCTp6emcxomjR48iIiICXl5eGDZsGDPItbKywq5du6SM03z7CP8LzJkzB7Nnz650A8+pU6dYRs2lS5eid+/ejHG6pKSEmfj7USkoKJCaIBHnw4cPjFPAt+DJkycIDw9HWFgYNm7ciIEDB2L48OGck2zKLncPDw9HTEwM0x6sW7cOTk5OzIqerKwsmJqaylx1Uh4hISF48uQJ0tPTWeMVUd5eXl7YuHGjlM3gJ//7TJo0Cfn5+UhKSoKXlxcOHjyIFy9eMKtZJOE7ZvxfwsPDQ244EBF8xwffAi5P6JUrV2LJkiWcntApKSkswzRQ1kebMWOGzNCl5fJNIlv/hBeSYj+yNnHOnTtHKioqNHXqVMrLy2P25+Xl0ZQpU0hFRYViY2O/dVWqDFFgdlkq7rICt9epU4dTqT4kJITs7OwqpWwNGjTg/K9jY2PJ2dlZan/z5s2pa9euLFGxt2/fkr+/P7Vo0aLC5eFbZ319fbp69arU/qSkJDIwMKhwebS0tHgL5QUEBFBISIjC6fneF4peAzMzM0pKSiKiMqEOfX19OnbsGHP81q1bpK+vL5V/3bp1mfPESUpKojp16ihcL748ePCAU7k7KiqKbG1tae3atXTp0iWFRN2UEcp89+4dbdmyhWbNmkVv3rwhIqJr167RkydPpNJqaGjQnTt3pPZnZWVJCWytX7+eNDQ0SCAQkIGBARkYGJBAICANDQ1av349Z1m8vb1p8ODBFBERQWpqaoyoV3x8PFlZWRERW5iN6x6SJ6q5b98+UlNTI6FQSO3bt2f2L126lHx9fZnvkuJvfMQHNTU1KTs7W2p/dnY2aWtrK5RHZWJoaMgIdYrXIzExkWrWrKlwPo8fP+YU9DUwMOAlnrphwwaqUaMGLV68mLS0tJjyhIWFkZeXF+c5z58/p3bt2pFAIGCJobZv3555l547d06msGV5+Pv7k4aGBtWuXZumTZtWbtu3YcMGUldXpzFjxlBERARFRETQ6NGjSUNDg7Md54unp6dCgqGS7ab4pq6uTvXq1aOjR48y6S0tLRkhv6KiItLS0qKzZ88yx2/cuMEpKPv8+XNatmwZ2dnZUc2aNSkwMLBcAdhRo0aRra0tHT9+nBF/i4mJoTp16tCYMWN4/BvS9S1vE3/2Re2lpFhmeno6paam0tKlS5m2RURgYCA5OztzCtgWFhaSs7MzjR8/Xqk6iOqhbPvCl7dv39LVq1cpKSlJShRVhDLi27a2tnLv0QMHDpCNjY3U/mXLlpGmpiaNHz+eduzYQTt27KDAwEDS1tZmBG2VRVNTk0xNTWnSpEksEd7KIC8vj8zMzMjCwoKWL19Ohw4dokOHDlFQUBBZWFiQmZkZq1+vLEOHDuUUSpRFbm4uubq6kpqaGtna2pKtrS2pqalRo0aN6PHjx0w6voK9InR0dBghRnNzc6aP9PDhQ85+C58+wv8Krq6upKurSxoaGlSvXr1KE/ksr52QFH/8EWnYsKHcccH69eupYcOG365AYiQmJlJAQADp6elRs2bNaPPmzZUi7teqVSs6cuQI813yuu3YsYOaN2+udP5t2rShdevWyTy+Zs0aatOmjdL580UgENDo0aMZu4e6ujoFBATItYf810lJSSEvLy+ZosleXl68x9CVgYmJCdNG6+npMW3x4cOHOUU4lRkz/tcZP348BQcHS+1fu3YtTZw4UWo/3/GBiKKiIsrKyqIvX75UtMhStGrVioYOHcrK+8uXLzRkyBBq3bq1VPqaNWtyjo9OnjzJaxwozk/j9A+Il5dXuZu3t7fUeRs3biQNDQ1WB1Gk+rthwwZWWktLSxo6dChFRERQbm7ut6papZGTk6PQJklVD/yJiGJiYsjJyYn27dtHjx8/psePH9O+ffvIxcWFYmJipNTUNTU1KSMjQyqfmzdvVkqHm2+ddXV1OVXBU1NTSU9Pr8LladSoEV2+fJnXOUuXLqUaNWrQkCFD6J9//qHg4GDWJgnf+0LRa9C/f3/q0qUL5ebm0ooVK0hXV5c+fvzIHN+/fz81aNBAKp9Dhw6Ru7s7a1CbnJxMzZs3V8hQpAyFhYU0ceJEqlevntQxvsZ7ZUhPTydjY2Oys7MjVVVVpgM9Z84cGjRokFR6d3d3TqNMYGAgNWvWjPl+7NgxZiLu2bNnzP5nz57R5MmTSVVVlWJiYjjL4+zsTPr6+qyOUWBgIPXr169CdRXx/PlzSk1NZQ1CkpKS6Pbt28z3ihiPatWqxTnxdebMGTI2Nq5AyZWjd+/ejKFJV1eXHj58SB8+fCAfHx8aOnSowvmkpaVx3nfW1tYKq2QTETk4ODDPk/j/evPmTTIyMpJ77u3bt+nw4cN0+PBhysrKUvg3FeHt27e0adMm8vT0JKFQSI6OjrRkyRLOiQYioujoaPLw8KDq1atT9erVycPDgw4dOlQpZeE7MWVtbU2vXr0qN98xY8ZQixYt6Pz58zRlyhQyMjKioqIi5vjOnTupSZMmrHO6dOlC+vr61K9fPzp27BiVlJQQEZVrnDYyMqK4uDip/efOnaMaNWqUW9bKQlzNnKtN1dbWptDQUNY5VW2IFAgEtGTJEubdqKmpSX/++We570wRL1++pMTEREpMTKSXL18qXQ4RBgYGdPfuXea7tbU16z/Jzs6W6udUxIAfFRVFLVu2ZIyjLVu2pKioqArX4/Tp05ViXJJFTk4O+fn5se4loVBIfn5+9PDhwyr73fL4+vUrnT59mtasWUNr1qyhM2fOSKXZvn07hYWFkUAgoODgYNq+fTuz7d69my5dusSZt4uLC8XHxxMRUdu2bWnq1KlERBQcHEzm5uZS6RXtI/wvUVUGnv8F4/Ty5cvJyMiI872VlpZGRkZGtHz58u9Qsv9HXl4eeXt7k1AoZBw0RHz69IkOHz5M79+/lzrv33//pcOHD9Pnz59Z+01MTFj9hho1arC+37lzh9NBRlFq1KjBORYScfPmzW/6jvX09FTKHvItkOU4OGXKFJo9ezZt27ZN6porQr9+/WjhwoUyjy9ZsoQGDBhQkaIrhZ6eHnOvWVpaMo4jDx8+JC0trW9enh8RMzMzSklJkdp/7do1zncaEb/xQUFBAQUEBJCKigqpqKgwbXZgYGCFJ+BFaGpqssasIjIzMzmv8/jx46l27doUGRlJubm5lJubS3v27KHatWtzGuQV4adx+n+MJ0+e0MqVK2ns2LH022+/0apVq1geDiLmzZtHnp6epKmpSUKhkOrUqUMjRoyg3bt30/Pnz79Dyb8dVTnwJyIpg5/kYEPSCMjX01oZ+NTZ39+f2rRpQ0+fPmX2PXnyhDw9Pal79+4VLsupU6eoZcuWFBcXR69fv2YZ62V59VhbW8vcuDyo+KLoNcjOziY7OzsSCASkqqoqNenTrVs3mjRpklQ+hoaGjEemuHemuro6y8uIy7NQESS9lQwNDUlFRYX09PTo8OHDUun5Gu9F8PGEbtu2LU2fPp2I2AOfixcvSnkTEpV5MOvo6JCDgwMFBARQQEAAOTg4kK6uLp0/f55J5+npSXPmzJFZxjlz5pCnp6fM45J8+vSJiouLFU5fUYRCIcvoIzLqKsKoUaPIxcWF7t+/z+y7d+8eNWjQgIYPH17pZS2Px48fk6OjIzk4OJCqqio1b96cjIyMqH79+qyBb3nIMk7v2LGDfv31VyooKFAoH01NTeb+Fb/n7t69+8N41j1+/Jj++usvsre3JxUVlUrJMyIiglq2bEmmpqZM/VetWsXZxlfVxNSrV6+odevWJBAISE9Pj6Kjo1nHfXx8aPbs2ax9KioqNHnyZJbxkqh847SWlhbnpEVGRsY3XUGQk5ND2dnZJBAIKDk5mdWGPnv2jDG2c52niCEyNjaWHBwcZHpQOTo6Mt7qIqysrOS+L2W9Mz9+/EjDhg0jFRUVpkyqqqoUEBCg8PPHRfPmzWnFihVEVHZ9hEIhq47iK1dEfCtP4h8RRbzRleXjx4/0xx9/UIsWLahOnTpkY2PD2ipKfHw8r3fpypUrmYmSM2fOkKamJuNgs3r1as78Fekj/KR8yuuH/BeM08XFxeTl5UWqqqrk6+tLkyZNokmTJpGvry+pqqqSp6fnN+3biXPx4kUaPnw46evrU9OmTSkkJERqcmv16tXk4+MjM4+2bdvS2rVrWfs0NTXlTp7fvn2bNDQ0lC63qqqqXBvAs2fPSE1NTen8/5fw8vIifX190tHRITc3N3JzcyNdXV0yMDCgZs2aMeMyeX0ZLmxtbWWuYCUqW4VWGe01X5o0aUInT54kIqKuXbvSoEGD6MmTJzRjxgyytbXlPIfPmPF/AQ0NDdZKMRH37t1T6Lksb3wwYcIEaty4MSUmJpKOjg4zxjl06BC5urpWvAKkuCe06H1RVFREEyZMYOwaolXMkyZNkppcU5Sfgog/KO/fv0dSUhKKi4vh7u5eZUI/RUVFuHjxIhISEhAfH4+kpCR8+fIF9erVg4+PD9avX18lv1tRCgoKMG3aNBw5cgTFxcVo27Yt1q5dK/d/IiLcv38fxcXFqF+/fqWIDXKhqJI6UBaD9fjx45gxYwbmz5+P5s2bAwCuXLmChQsXIigoCK1atWLSi8euVQRl6vz48WP4+/sjMzOTiXH6+PFjODs748iRI6yYy8ogUsGVjE1IlahkDfCLPcvnGmhrayMzMxPGxsZScXLT09NRu3ZtGBkZsfYrKqIKKBfTXjJ/UbzQZs2asWKfV4QbN26gXbt2MDAwQE5ODu7cuQNbW1v88ccfyM3NRUREBCu9uAChuIjJo0ePUL9+fU5ht2fPnmHDhg1MTFwHBwepeMT6+vpITk6Wiocn4s6dO2jatKnMWIQpKSms/LliYn39+hXbt2/nVCsfNGgQZ1xNRcX7hEIh/Pz8oKGhAUBx8UGgTAna19cXKSkpzHP45MkTtG7dmlOQ7VtQUlKCqKgolvjHgAEDmBiIipCeng43NzepZ79Ro0Z48OABiAjW1tZScWglY9Y5Ojpi2bJl6NatG+ueW7t2LcLCwmTGuHvy5AmOHDnCqUC+cuVK1vdPnz6BiJi4xo8ePcLBgwfh6OiIDh06yK3nly9fEBMTg507dyImJgbVq1fnjM3Nh5CQEMydOxeTJk3CkiVLkJGRAVtbW2zfvh3h4eGIi4tjpX/06JHc/ERx6C9fvow3b96wYt1GRERg3rx5KCgoQPfu3bF27VrmPhbx77//QldXFyoqKqz9b9++ha6uLive7ZUrVxAaGoqoqCg4ODhg0KBB6Nu3L0xNTZGeng5HR0fOMrZt2xZGRkaIiIhgYvR++vQJQ4YMwdu3b3H27FlW+oULF2LatGlSsag/ffqEv//+G3PnzgUAnDt3DoGBgbhy5YrUu/bff/9Fy5YtERISIlPbgy/v3r3D/fv3QUSoW7euVFvt7+8Pb29vmfFD16xZg7i4OBw8eLDCZRk9ejTOnj2LdevWscTmJkyYgPbt2yMkJESpfJUV33706BF+++03nDp1ijOutbwY8NeuXWMJ+YhiyfPFzc0NsbGxqFatGho1aiQ35v23jp/55csXaGlpIS0tTWFdkn79+smN4T9x4kQAij0HGzdulKuX8fnzZ6m2tLz+66NHj3Dt2jXY2dlJ6YKIUKSP8L9IZd3TIsrrhxQVFeHkyZOV1h+vKr58+YJVq1Zh9+7duHfvHogI9erVQ//+/TFp0iQpPYyq5Pnz54iIiEBYWBjevXuHAQMGICAgQObz6e7ujj///JNTEwgAjh07hoULF+Lq1avMvrp16yIoKAi//PIL5zl79+7F7Nmzcf/+faXqoKKigry8PJlj6RcvXsDMzOyHvy++BatXr0ZiYiLCwsKYtu3ff//FiBEj0KpVK4wcORL9+/fHp0+fcOrUKYXz1dTUxO3bt2W+47Kzs+Ho6IhPnz5VSj0UZefOnSgpKcHQoUNx7do1+Pr64u3bt1BXV8f27dvRp08fVnq+Y8YfjdLSUly8eBENGjRQeGzl7OyMMWPGIDAwkLV/7dq1CAkJkSswq8j4wMrKClFRUWjevDlrjHP//n24ubnJjcGvKBMmTMDBgwfxzz//oGXLlgDKdDumT5+OX375BatXrwZQ9g6xsrKCt7c3vL294eXlhfz8fABlIs/KaL+I+GmcVpIvX77A3t4ex44dk6korixpaWno1KkT8vLyAJSp0+7duxcdO3as1N/h4t27d1ixYgXWrl2Ljx8//rAvoClTpmDz5s0YMGAANDU1sWfPHnh4eMgcpGVnZ8Pf359pGGrXro0DBw4oH6xdSTIyMqQ6KiJjLfD/DLbigzHRd76G24rUmYhw9uxZRrTMwcGh0tRmyzPee3p6Vvg3+Bpsquoa/Ahw3XPldQoGDx4sta9du3Zwc3PDX3/9xXopXrp0Cf3790dOTg4rfc2aNXHq1Ck0atSIlf7MmTMICAhgiaPl5OTgzJkzKC4uhqenp9zBto6ODm7evClTrfvhw4dwcXFBQUEBa/+TJ0/Qr18/XLx4kelo5Ofno2XLloiMjGSMvUSErl274vjx42jYsCFLrfzmzZvw9/fHoUOHpH5X0YH/sGHDZNZNnLCwMM79RIQzZ84gPT0dWlpaaNCggVxjGV+BQD6cP38eLVu2lJr0KikpwaVLlxQ24skyTi9YsEDueZKim1u3bsX8+fOxYsUKDB8+HFu3bsWDBw+wbNkybN26FX379pXKIzY2Fv7+/rC1tUVWVhacnZ2Rk5MDIoKbmxvOnTvHSt+hQwf07NkTY8aMQX5+Puzt7aGmpobXr19j5cqV+O2336R+Iy4uDrt378aBAwfw9etX9OzZEwMGDICPjw8EAgGqVaumkNgjUGbkFcfR0RFLly5F9+7dWc9ZRkYGvLy8GLFPvvj5+cHLywszZ84EUCYK6ebmhqFDh8LBwQF///03Ro8ejfnz5yuVvzgFBQWIiorCtm3bcPXqVZSWlmLlypUICAiAnp6eVPqMjAx07NgRRUVFaNiwIYCye0hTUxOnTp2Ck5MTK72KigpLhFTEmzdvULNmTea+q4gx+N69e4iLi+OcmBIZv/liZWWFkydPyuxjZmVloUOHDsjNzVUqf3Fq1KiB/fv3SwnzxMXFoXfv3pwChIoSGxuLY8eOwcTEBOPHj2cNWhYsWABPT0+ZgkDlGfDFefnyJfr27Yv4+HhWG+/t7Y3IyEjeTh4LFizA9OnToa2tjfnz58t9RvkKAFcGtra2OHjwIPMMlIehoSFiYmLKFWpS9jkoLCzEjBkzsHfvXrx580bqvIr0nfj0Ef6XqOx7WkRF+yE/kUZNTQ3m5uYYMmQI/P39ZYq6iiZeqlWrhvT0dFhaWnKmy83NRcOGDfHu3Ttm38SJE3H27Flcu3aNUzy1SZMmaNeuHYKDg5Wqg1AohLOzs0xHppKSEmRmZv7nxkFVgbm5Oc6cOSM1iZ6ZmYkOHTrg6dOnSE1NRYcOHXj1wywsLLBlyxb4+vpyHj9x4gRGjRpVrsB0VVNYWIisrCxYWlqiRo0aUsf5jhl/RMqbKJBk27ZtCAwMxPTp0xlB9djYWKxYsQKrV6/GyJEjpc4pb3wgjra2NmPPEP9P09PT0aZNG/z7779K1zU7Oxs2NjYoLi7G9OnTsXHjRpSUlICIoK6ujt9++w1BQUHMhGZ8fDyziZxpbW1t4ePjAx8fH3h5ebHEsfnw0zhdAczNzXH27NlKN0537NgRHz9+xD///ANNTU0sWrQIN2/exL179yr1dwCguLgYly9fZt1g5ubmaNOmDTw9PTmNVD8CNjY2+Ouvv9CrVy8AZV4FzZs3x6dPnzhfqr/++isyMzMxd+5caGpq4p9//sGnT5++ibfLhw8fsGfPHmzduhXXrl2Teqnz9bRWlO9Z56qAj3cjX4NNVV0DcUpLS3Hw4EHG+8XR0RHdunWrEg/+8u45yQH+ly9fUFhYCHV1dWhra0sZwAD+ntAjRozAmzdvsHfvXlSvXh03btyAiooKunfvjjZt2jCzr3FxcejSpQvjBaCqqopt27Zh4MCBnHVzd3dHv379ZA6cV65cicjISJa3CQD4+voiPz8f4eHhjNf1nTt3MGzYMOjr6+PkyZMAygZjEydOxOHDh+Ht7c3K49y5c+jevTvWrVsn1TYqOvD/lvCdpOGLoka/nj17ys0nPz8fCQkJlTLg2bVrF+bPn48HDx4AAMzMzLBgwQIMHz6cM727uzv8/PywYMEC5r6uWbMmBgwYAF9fXyljc40aNZCQkAAnJyds3boVa9euxfXr13HgwAHMnTuXeb5FmJub4+3bt/D19cWAAQPQtWtXKW/jiqys0NLSQlZWFqysrFjP5b1799CgQQNO75o7d+5g7dq1LO/D8ePHs1YjmJqa4ujRo8xk5pw5c5CQkIALFy4AAPbt24d58+bJ9QRRhjt37iA0NBQ7duxAfn4+2rdvjyNHjkilKywsxK5du1gTqLI89oVCIV68eCFlyDl37hz69OnDGF6VNQZv2bIFv/32G2rUqAETExPWgEIgECj9ztXU1ERGRgbs7Ow4j9+/fx8uLi7MNV6zZo3CeU+YMIH1XVtbG9euXZOqe2ZmJtzd3aUm+35E+vTpg4cPHyIiIoKpx61btzBkyBDY2dlhz54937mElUtoaCiio6OxY8cOVK9evdz0NjY2OH78eLljFmWfg3HjxiEuLg6LFi3CoEGDsH79ejx9+hSbNm1CUFAQBgwYwKTlszqJbx/hf4n/a/f0fxl5Ti7i+0X9HD09PcTHx6Nx48ac+V27dg1eXl748OEDs+/FixdwdXWFuro6AgMDUa9ePQBl781169ahpKQE169fV9ooVJ5DgIjvMRn3o6Grq4tjx45JTazGx8eja9eu+PDhAx4+fAhXV1deHq3Dhg3D/fv3kZiYKHWMiNC6dWvUrVv3m08cKboCTYQyq2d/NJo0aYLly5ejbdu2Cp8TEhKCJUuW4NmzZwAAa2trzJ8/n9Oepsj4QJw2bdqgV69eGD9+PPT09HDjxg3Y2Nhg/PjxuHfvHjOOVYaKeEJ//vwZly5dYmyJV69eZZx4MzMz+RdGqWAgPyGisqD0Q4YMqXS1TCMjI7p27Rrz/d27dyQQCHipbJfHggULyNvbm7S1tcnBwYFGjx5Nu3fvZsUZ/pFRVVWVKquWlhaj/C1JrVq1KDExkfn+7NkzEgqFLDG7yiYhIYEGDx5MOjo6VLduXZo5cyZdvXqVVx43b95U+vf51Dk4OJgRH5IUTlJUSIkvBQUFdPv27XIFuYiIzp49S9ra2uTs7Eyqqqrk6upKhoaGZGBgwCmGUZmxZytyDURkZGSQra0taWtrMyrrOjo6ZG1tXSn5i6jIPXf37l1q27YtE1NMEmNjY0pNTSUi9n96+vRpql27tlT6/Px8ateuHRP/2sLCgtTU1KhNmzase9DDw4O6detGz549o7dv39LYsWPJ1NRUZjm3b99OWlpatH79eik14XXr1pGWlhaFhYVJnaepqcmUX5yUlBSWyEP79u3lCkssWbKEOnToILWfr3ifspw9e5Z+//13Gj58OA0bNoy1SaKMQCDf+MVcoml37txhiacOHTpUoa0ifPnyhcLDw5lYtAUFBQrFvdbV1WVieBsaGjJiQGlpaZyx0cXfM7169WJEqXJzcznFQjZv3kzv3r1TpkoK4eDgwFwb8Wu8Zs0aatSokVT6/fv3M/HBRQI+LVq0IFVVVdq/fz+TTkNDgyWW7OHhQYsXL2a+Z2dnk66ublVVi0pKSujgwYPUtWtXpfMQF4aWjMuvr69PQqGQxo4dy6SXFS9QxL179zjfH5aWlhQUFKR0OWVha2srVzD3wIEDrNiTkrGldXR0SCAQMHUWCASko6PDGa/Sx8eHevXqxRIhLCwspF69elHbtm0rtV5Vhb6+Puf7LikpiQwMDCqUt42NDb1+/Vpq/7t3775L/E8iIldXV9LV1SUNDQ2qV68e07cQbZIoGsNf2efAwsKCESrV09Nj8oiIiCA/Pz8m3devX6lz584kEAjI1dWV+vbtS3369KEGDRqQQCCgbt26sfLl20f4X6Iq7+mfVC7lablIaro0a9ZM7ntj6dKlnEKfDx8+pI4dO0ppFnTs2FFhce2fVJz+/fuTjY0NRUdH0+PHj+nx48cUHR1Ntra2NHDgQCIi2rNnDzVu3JhXvvfv3ycDAwNyd3enqKgoSktLo7S0NIqMjKSmTZuSgYGB3Pa5qhAKhZx96tevX3PGp+c7ZvwROXHiBLm6utLRo0fp2bNnCmlkiXj58iV9+PBBbhq+44PExETS1dWlMWPGkKamJk2cOJHat29POjo6nEKMfIiLi5PSo7Ozs6NRo0ZRZGSkQjofRUVFdO7cOZo+fTrTx1aGn8bpCtC9e3fS09MjU1NT6tChA/Xo0YO1KYukijIRP9EsRX/DysqKQkJCODvcPzqSYh5EZZ1hWf+RQCCQerB0dHQqXQX9+fPntGzZMrKzs6OaNWtSYGBgueJOkrx//542bdpETZs2rZAgCZ86W1tbM/dBVYsPvnz5kjp37syIQ0puXDRt2pTmzp1LRP/vJffhwwfy9/eXEiUk4m+wkaSyroGI5s2bU9euXVkCR2/fviV/f39q0aJFhfKujHtORHJyMtWvX5/z2PDhw6l79+5UXFzMtEePHj2iRo0ayVXkTUxMpPXr19Py5cvpzJkzUscNDAxYZS0oKCAVFRW57dLUqVNJIBCQvr4+NWrUiFxdXZkXIZcgJRFR3bp1KSkpSWp/UlIS1alTh/leq1Ytun79uszfTk1NpVq1aknt5yvepwzz588noVBI7u7u1K1bN+revTtrk4TvJM2GDRuoRo0atHjxYtLS0mLSh4WFkZeXF5NO9I4TCoXUqVMn1nvP39+frK2tqWPHjkrVsVq1avTq1Ssikhb6LE88VEtLS66gJxe1atViJhUcHBwYAdG0tDTS0dGRSu/i4kLBwcGUm5tL+vr6dOnSJSIqm+SQvC+Ki4tJRUWF9wRUSUkJ7du3jxYuXEgLFy6k/fv3y5wE37JlC5mbm1NkZCTp6OjQnj17aPHixcxnSWxtbenPP/+U2j937lyWqI2lpSUjtldUVERaWlp09uxZ5viNGzeUFnBVhsOHDyu8idi+fTuFhYWRQCCg4OBg2r59O7Pt3r2buXYi+BqDRejp6VWJUSAwMJCcnZ1ZBmMRhYWF5OzsTOPHj+c8d9euXeTh4cESz8rKyqLWrVvTzp07pdLfvHmTzMzMyMjIiHx8fMjHx4eMjIzI3NycmbD50dHV1eVsu1NTU1mTZcrA1S8nKhOO+14CYfPnz5e7SeLq6kp6enqkq6tLzs7OMo3Zyj4HOjo6zMSdubk58759+PAhqy3dtm0b6enp0blz56TyiI2NJT09PQoPD2f2KdNH+F+hKu/pn3xfNm3aRDo6OnT06FGpY0eOHCEdHR3atGmTzPPfvHlDSUlJlJSUxIjN/eTb8eHDBxoxYgQjBCcSuR85ciTjgHP9+nW54wlZJCcnk5OTEzPxIJqIcHJy4u3kVlnIckaJjY2lGjVqSO1Xdsz4IyEpHC5+LSpqG1B2fHD//n0aMWIENW3alBwcHGjAgAF048aNCpVFkk+fPlFsbCz9+eef1Lp1a0ao2NHRkZWuqKiIEhISaP78+eTl5UVaWlpUr149GjFiBEVERMh0GC2Pn8bpClBVXmACgYDi4uJY3qQ6OjoUExNTroepOJ8+faLt27fT+vXr6e7du6xjJ0+epJkzZ1KzZs1IXV2dnJ2dKTAwkPbt28fZ+PxoCAQCcnFxYXWsVVRUyMnJibOzLRQK6f79+6wZLz09PUpPT1d4Fqw8unTpQvr6+tSvXz86duwYlZSUEBEpbCisDE9rcb5FnZWhf//+5OHhQcnJyaSjo0OnT5+mHTt2UP369enYsWOc5/D1buRrsBFR2ddAhKamJucA/+bNm7w9ucWp6D0nyfXr12UOeBT1hOaLrMm48ow9ly9fpgkTJpCfnx/5+fnRxIkT6fLlyzLTHzp0iNzd3Sk5OZnZl5ycTM2bN2cNxNXU1OjZs2cy83n69Cmpq6tL7Vd04F8RTExMKCIiQuH0fCdpFPW0Fr3jBAIB9enTh/XeGzVqFC1dupQxMPNl+/btjMKzuDGRa5PE09NTrlGFi27dutHmzZuJqGzSw87OjhYvXkxubm6cHqP79u0jNTU1EgqF1L59e2b/0qVLydfXVyq9jY0NpaWlKVweZVZZ7Ny5k+zs7JhOtLm5OW3dupUzrZaWFqfXzd27d1me32PGjKEWLVrQ+fPnacqUKWRkZERFRUWs32zSpInC9aoo4oMEeRvXgCE+Pl6hFW7KGoMDAgIoJCREuYrJIS8vj8zMzMjCwoKWL19Ohw4dokOHDlFQUBBZWFiQmZmZTG8WW1tbmStFrK2tOc8pKCigzZs305QpU2jKlCm0ZcsWKiwsrNQ6VSX+/v7Upk0b1qq6J0+ekKenJ+fknSKIJjwEAgFFRESwJkGio6Np3LhxVK9evcqqQpWiqDFb2efAxcWF4uPjiYiobdu2NHXqVCIqW41nbm7OpOO7OknZPsL/AlVxT//kx2HAgAEkEAjIwcGBcTKwt7cnoVBIffv2/d7F+6E4f/48DRgwgJo3b05PnjwhorJVGeIrhL8HHz58YOwy5XnK8iU1NZX27t1LUVFRShm5KwO+K9BEVNWY8VsSHx8vdyMiatSoEeN45urqKjX2kzcO5Ds++NbI84QWRV9wcnKisWPH0p49e+SOnfnwM+b0D4hQKIRAIJCKVQWA2S8pzDZlyhR8+fIFa9euBVAWS7pZs2bIzMyEtrY2SkpKcObMGbRo0UIqzw8fPiAxMREJCQmIi4tDeno67Ozs4O3tjXXr1lVdRSsA37hYov9UHNH/KP65IjFPVVVVMWHCBPz222+oW7cus19NTQ3p6elSogkAkJeXh+3btyM0NBTv379H7969sXHjRpnp+aBsnfnGleKLqakpDh8+DHd3d+jr6yMlJQX16tXDkSNH8NdffzExTcUxMTFBXFwcHBwc4OjoiKCgIPj7+yM9PR0eHh74+PGj1DmKxp5V9hokJiZi06ZNePDgAfbv3w9zc3Ps2LEDNjY2aNWqFSttw4YNsWrVKkYgQcS5c+cwceJE3Lx5U+H/Txxl7jkAUjFciQjPnz/HunXrYGFhgRMnTsj8zQsXLuDGjRv4+PEj3Nzc5AplxsbGIjY2llMkbNu2bQDK7tPw8HAYGBgwx/r164fVq1ez4ub5+/vL/B1FqFatGgoLC1FSUsLE+RZ9FinUA2UCXC9fvuStVs5XvE8ZjIyMcPXqVdSpU0eh9HwFAvnGL16wYAGmTZvG+v++J3v37sXvv/+OyZMno3HjxlLlEgkRifPw4UN8/PgRDRo0QEFBAaZOnYpLly6hbt26WLlyJaysrKTOycvLw/Pnz9GwYUMmzuTVq1ehr68Pe3t7Vlq+cWFbtGgBY2NjhIeHM7Hh3717h6FDh+LVq1e4dOmSzHMLCwvx8eNHqRjg4nTq1Am9evWSEsQKCwtDZGQkoyr/+vVr9OzZExcuXICuri7Cw8PRo0cPJn3btm3RvHlzLFmyROo3qlKEU1kePHiAsLAwPHjwAMHBwahZsyZOnDgBS0tLRkDxxYsXcHNzg4qKCgIDA5kY3FlZWVi/fj1KS0uRmpoqFc9z2bJlWLlyJTp37gwXFxcpISzJ+M58ePToEX777TecOnWKJdLbsWNHrF+/XqZQj7a2NhISEtC0aVPW/qtXr8LLywuFhYVKl+lH5fHjx/D390dmZiYsLCyYfc7Ozjhy5AgjessH0fPN1SdXU1ODtbU1VqxYgS5dulS8AkqQn5+P/fv348GDB5g+fTqqV6/O3KPm5uZK5ansc7Bq1SqoqKhgwoQJOHv2LLp27QoiwpcvX7By5UpGFNjExAQnT56Eq6sr5+9fv34dfn5+jCj8t+oj/IhUxT39v8T79+8ZMS53d3elBSK/J3v37sXu3btx7949EBHq1auH/v37o3fv3t+7aD8MBw4cwKBBgzBgwADs2LEDt27dgq2tLdatW4fjx4/j+PHj37V8T548AYAqeR5FGklcooPfgvDwcBARAgICsHr1alY7rK6uDmtra07bkgg+Y8b/IhURTuY7PkhNTYWamhpcXFwAAIcPH0ZYWBgcHR0xf/58qKurV6guxcXFuHLlCuLi4hgdOgsLC7Rp04bRohMJuKqpqcHU1BTdu3eHl5cXPD09YWRkVKHfF/HTOF1BSkpKEB8fjwcPHqB///7Q09PDs2fPoK+vD11dXaXyfPTokULpxAfNzs7OWLp0KdM5CwsLw9SpU3H9+nVYWloiICAAL1++RExMjMz8SktLcfXqVRw5cgQbNmzAx48f/2cUeRUVvFNW7A4Arly5gtDQUERFRcHBwQGDBg1C3759YWpqymko7Nq1K86fP4/OnTsz4lsqKirlGhYVRdk6Kypypiz6+vq4ceMGrK2tYWVlhd27d8PDwwPZ2dlwcnLiHDR3794dnTt3xsiRIzFt2jQcPnwYQ4cORXR0NKpVq4azZ8/K/D15BhtlrwHfjtLx48cxY8YMzJ8/H82bNwdQdr8sXLgQQUFBLGO2vr6+Qv+jKA8+95wIceEWoGzgbWxsDB8fH6xYsQKmpqYKl0EWCxYswMKFC9GkSROYmppKvbAPHjzIWRYuuCZR6tatiwEDBmDAgAEsw7wsFBWdGzZsGPz8/GSKUhQVFeHkyZPfpW2cOXMmdHV18eeffyp8Dh+BQEdHRyxbtgzdunVjGafXrl2LsLAwTmG3qngHivP161fcv3+fc4KjTZs2rO9c95KsCd3K4v379zh37hzq16/PKSDWqFEj3L9/H1++fIGVlZWUwVzyP9XS0kJKSgpjMBWRkZGBpk2bSk0Q+Pj4IDo6GoaGhlLl6t69O86dO8fav3HjRsydOxe9e/dmtUX79u3DggULYGZmxqT19/fHv//+C11dXaioqLDyefv2LXR1daU6w1UtwqkMCQkJ8PPzg4eHB86fP4/bt2/D1tYWQUFBSElJwf79+5m0yhiD5Sm5CwQCPHz4sMJ1ePfuHe7fvw8iQt26daVEbSXp2rUrnj59iq1bt8LNzQ1AmcDWqFGjYG5ujiNHjnAKTcriv2L4IyKcPXuWJZRZGYNhGxsbJCcnfzcDARc3btxAu3btYGBggJycHNy5cwe2trb4448/kJubi4iICM7zrl27xoihOjk5oVGjRlJplJ0Ukczj2rVrsLOzY00Mqqur49GjRzL7Gc+ePYONjQ2KiooAKN9H+F+hqu7p/zppaWno1KkTXrx4ASKCnp4e9u7di44dO37vov2kkmnUqBEmT56MwYMHs/qmkhNZ35KvX79i8eLFWLFiBeMgpaenh6lTp2LOnDkKtVuyyM/Px5w5cxAVFYV3794BKHOw6du3LxYvXizV3/sWJCQkoGXLllKT77L4/PkzNDU1q7hUVY/IEe3hw4fYt2+fXEc0vvAdHzRt2hSzZs3CL7/8gocPH8LR0RE9e/ZEcnIyOnfujNWrVytdFh8fHyQlJcHGxgaenp5o3bo1PD09Zb6nCwoKkJiYiPj4eMTFxSEtLQ316tWDp6cnY6xWerKwUvyv/4+Sk5ND9vb2pK2tTSoqKswSswkTJtDo0aOr9Lcll/eKi48QEfXt25dGjhzJfL9+/bqUgEhpaSklJSVRUFAQ+fr6kp6eHgmFQrK0tKQhQ4ZwLpv+L/Dvv//Shg0beIsQVBYfP36k0NBQ8vDwYJZ/r169mt6/f89Kp6KiQpMnT5YKuaJsSIbKgm9cKb40adKEEd3r2rUrDRo0iJ48eUIzZsxgxTwV58GDB0wom48fP9Lo0aPJxcWFevbsyTvGrDjKXgNXV1cmJqL48lJZ8Yi54lZxfVc2hpWi91xF4SPGxzcEBV9WrlxJTZo0IYFAQE2aNKHVq1fT8+fPK5zvtxDvE8FHfJCo7N1iaGhIbdq0ocDAQEbQTrSJo4xAIN9wOFX9Drx8+TLZ2Niwnhd54RsUFSLioqioiB4/fkyPHj1ibZL06tWL1q5dS0RlS9zr1q1LampqUoKCIvjGhW3QoAHFxsZK7Y+NjSVnZ2ep/bJi4b548YJUVVU50ysbHkMRlBHhVJTY2FhycHDgDEeVn59Pjo6OTJxscZo3b04rVqyQKlNSUhIr3IA4b9++patXr1JSUhJLK+C/wsuXL8nPz48EAgGpq6szcTH9/PyY+6Wq7wVx8vLyaODAgWRqakoqKioKaU0oiiL3xfnz5yv0Gz8ibdu2penTpxMR+76+ePEiZ7izFy9ekLe3t5RIpo+Pj8xwflXxHHBpxoiTl5dXKffc/wLh4eFMmCtxioqKWHG5/y/SoUMHatmyJV26dIlSU1OpR48eZGdn972L9ZMqQEtLi7Kzs4mI3dY9ePCANDQ0vkuZZs2aRcbGxrRhwwYmrMf69evJ2NiYZs+erXS+b968oXr16pGOjg6NGjWKVq1aRatWraKRI0eSjo4O2dvbf/c+yadPn8oVB9TQ0KDWrVvTH3/8QbGxsf+pEGEi9u/fT1paWjRixAjS0NBg7ru1a9eyRH5FDB8+nBEFVgS+4wN9fX0mxGlQUBAT/urChQsVFplUVVUlCwsLGj9+PB04cIC3psP79+/p+PHjNH36dGratCmpq6uTk5OTUmX5aZyuAN26daOBAwdSUVERq7GMi4urkhekPJE2AwMDloHN2tqaQkNDme/Z2dms2La+vr6kr6/PxKccOHAgbd269T8dw+3cuXM0cOBA0tbWJlNTU84YSN+arKwsmj59OpmYmJCmpiZ17dqVOXb58mUaMWIE6enpkbu7O61du5ZevXr13YzTysaV4suOHTsoLCyMiMriX9aoUYOEQiFpampSZGRkhfMnKlMPHjt2LDk4OJCRkZFMITVlrwHfjlJ5caskY1hVBHn3nIiEhAROg1ZxcTGncYeIvxhf9erVmZdoVXLnzh2aO3cu1a1bl1RVVal9+/acg7YnT55QcHAwjRs3jsaNG0dr1qxh4tYpS0XE+xQVHxTHy8tL5ubt7S2VXhmBQD7xi6v6HdiwYUPq1asX3bp1i969e0f5+fmsrTK4c+cOtWrVSspYJssoV6tWLSZG3K5du8jOzo4KCgpow4YN5OrqWuHyxMTEkJOTE+3bt49RgN+3bx+5uLhQTEwMMxC4ePEipaenc2pUpKam0tKlSzkNVFUNXxFOPnTt2pVWrlwp83hwcDBnWyQuBCxepuzs7Eod2BYVFVFWVpZC8a2/FXfu3GFiJN+5c+e7lcPX15ccHR1pw4YNdPDgQSZ+tmirCMreF+URHBzMxF0ODg6Wu30PxAeq4vd1Tk4O533du3dvatKkCSMAS0SUmZlJTZo0qXB829LSUgoNDaXOnTuTk5MTOTs7U9euXSk8PJy+fv3KSisQCKSEdMW3Tp06/TRO//8IhULOvtrr16//z/9HRkZGdO3aNeb7u3fvSCAQfBctnf8Fymvjvmd7Z2Njwwiqi7d14eHh5ODg8M3LQ0RkamrKEmAWcejQITIzM1M634kTJ5KzszOnnsTz58/JxcVFpvB7VVJQUEDjxo0jY2Njqf4yV1uUmJhIS5Ysofbt25OOjg5paGiQh4cHzZ49m06fPv3Ny68MfB3R/P39SUNDg2rXrk3Tpk2r9HjSenp6jK2vXbt2tHr1aiIievToUYX71x8/fqQTJ07QzJkzyd3dndGjGzdunEJ6dKWlpXTlyhVatmwZdejQgbS1tZV+R/00TleA6tWrM0rokgMecWGhiqKISJu4Z1BGRgYJhUJmMEZUZhwTH6j27duXNm3aJOUxKg5fBdHvwZMnT2jx4sVUp04dMjIyIqFQSJGRkVKd4e9NSUkJHTx4kNNQ+K28Xstj+/btFBYWRgKBgIKDg1nCY7t376ZLly5Vye8WFBTQtWvXlBZQ48LPz4/q1q1LQUFBFBYWVq6QGt9rUJkdpap6zuTdcwKBgExMTKQEBOV5LPH1hJ4xYwYtXLiQX6EryOXLl8nV1VWqDuvXrycNDQ0SCARkYGBABgYGJBAISENDg9avX6/074mL93HdZ/Luuar0MBXBRyBQGU9rZd6BfLzFtbW1OcX7ZBEeHi5346Jly5bUpk0bOn78OF2/fp3S0tJYmySampqUm5tLRESDBg2imTNnElFZ51BHR4fzN969e0dbtmyhWbNm0Zs3b4iI6Nq1a5yTI4qusgAgdVx809bWZk1Qfyv4inDywdLSkmVYk+T27dtkYWEhtd/c3JwuXrwoVabo6GiZq3X4UFBQQAEBAaSiosJaQRAYGChX+O1H4Ft5Hevq6laZoJOy90V5WFtbM95D1tbWMjcbGxuly14RjI2NGdFL8fv69OnTnF5U+vr6nALPSUlJZGBgoHQ5vn79Sp07dyaBQECurq7Ut29f6tOnDzVo0IAEAgF169aNlf5brk76ryNrJWNaWhrnpPf/JWQJZYqPfb8V5QmhVbY4dlUg2a7p6OhIrbLQ0dH5Lu3d0qVLydHRka5cuUJ6enqUmJhIO3fuJGNjY1qzZs03Lw9RmWcw14RvVlZWhQyFVlZWzOpiLk6cOPFdHA9EDl8ib+Jt27bRokWLqHbt2rRz506553758oUuXbpEQ4YMIVVV1f/MxJoyHvtv376lTZs2kaenJwmFQnJ0dKQlS5Yw+UjCZ3zg7e1NgwcPpoiICFJTU2PGR5I2vsqgPE9oUfSF5cuXs6IvWFhY0ODBgyksLEzple0/jdMVwNDQkPGuFL9pExMTqWbNmhXK+/nz57Rs2TKys7OjmjVrUmBgoFxvzujoaFJXVycfHx+qVasWdenShXV8xowZ1KtXr3J/V5539o/E/v37yc/Pj3R0dOjXX3+lQ4cOUVFR0XcPiVFRFPF6rWri4+OpuLi4yn9HES8zGxsbhTZJdHV1lZ6xVOQaVLSj9L2fM4FAQJMmTSJtbW3Gi52ozDgtEAg4z+HrCc0nBEVFSUpKookTJ5KJiQlpa2tTnz59mGPHjh0jFRUVmjp1KktJ+NmzZzR58mRSVVWlmJiYSi2PIlSlh6mIqKgosrW1pbVr19KlS5dY3rWiMDni8PW05vsO5Ost7u3tTSdOnOBVHvFNNLjS0NCQOZDX1tam27dvK/wbdevWpaioKPr48SMZGxszITjS0tI4JxXS09PJ2NiY7OzsSFVVlanznDlzaNCgQVLpFV1hERkZSdnZ2SQQCCg5OZkVvuTZs2dUUlLCyvfSpUt09OhR1r7w8HCytrYmY2NjGjlyJOfycb7wDQ3DBw0NDbmTFffu3eN8dqZOnUqtWrWi58+fMyHQLly4QLa2tpxLJ/kyYcIEaty4MSUmJpKOjg5zjQ8dOlQp3vTKIBl2SVYYpqryOpbEwcGBMaRWNsreF/91hg8fTt27d6fi4mLGKPfo0SNq1KgRTZw4USq9rAmC1NRU0tPTU7oc27ZtIz09PTp37pzUsdjYWNLT0/s/H4KCLyJjp1AoJBcXF5Zxs0GDBqSnp6fQmO5/Ga5VQzo6OhQTEyO3n1MViC/FnzVrFunr61Pz5s2Z/m6LFi1IX1+fZs2a9U3KU1F27dpFHh4ejPMBUdnYqHXr1uUaIquCr1+/Mv0I0QS8pqYm/fHHH9+8LCLc3d1p/PjxUvsDAwOpWbNmSuerrq5Ojx8/lnn88ePH3yWUiYWFBROyQjyUbEREBGeIC6KylVubNm2ifv36kampKVWvXp26d+/OePz+6FTUEe3x48f0119/kb29PamoqEgd5zs+SE9PJ2dnZ9LX12f1XQMDA6lfv35K1VEW5XlCi4zRZmZmNGDAANq6dWulrZb+aZyuAL1792biOos6hh8+fCAfH58Kzfp36dKF9PX1qV+/fnTs2DFmkFme4fXs2bM0adIkCgoKooKCAtax+fPny42Do4h39o+EiooKzZ49W8qz9b9unBYhz+v1W6JIXCm+8PEyEwgEZG1tTbNnz6bVq1fL3CRp0qSJlFcwX+RdA2U7Sj/KcyZaKnrgwAHS0dGhyZMn09evX+V6TvP1hOYbgoIvkuE8OnToQOHh4fThwwdWOk9PT5ozZ47MfObMmUOenp4VLs+gQYNo27ZtCr+clfEwFf13sjZJZMWPlRWygo+nNRH/dyBfb/Ho6GhydHSksLAwSklJKde4zsXdu3epbdu2Mj1RmjRpQomJiQrlRVTmha+qqkqGhobUoEEDKi0tJaKy68ZlYOcbF7aq8PX1paCgIOb7jRs3SFVVlUaMGEErVqwgExMTmjdvXqX8Fp/QMHywtbWVe38eOHCAc7KyqKiIRowYQaqqqiQQCJjVMQMHDpQy4iuDpaUl874Rv8b37t2rkNGvIkiGXercuTNZWVmRgYEB9ejRg1X2qvA6luTUqVPUoUMHmd5DFUHZ++K/Tn5+PrVr144MDQ1JRUWFLCwsSE1Njdq0aUMfP36USu/v709t2rShp0+fMvuePHlCnp6eFZqAaN++vdwVAkuWLGFiY/5EMUSGToFAQNOmTWMZP5cuXUq7d++moqKi713M74p4f4ZPP6eqGT58OOdYYO7cuZz6LCLu3btHJ0+eZGLzfs8VwLa2tpyTiSkpKWRtbf3NyyNymCoqKqLMzExKSkpi+vqVueqWD/Hx8aSjo0MODg4UEBBAAQEB5ODgQLq6uhVabWRmZia3T3r+/HkpDbFvgY6ODqPDYm5uTklJSURE9PDhQ85Vg2ZmZlStWjXq0aMHBQcHU1pa2g+3qr08KuKIVlxcTAcPHqRffvmFNDU1OUO9VNb44NOnTxV2KuTrCb1x48YqCxX30zhdAR4/fkyOjo7k4OBAqqqq1Lx5czIyMqL69euXuxxaHt9KKI+vd/aPxKhRo8jAwIBatmxJISEhjDiAvPIXFxeTiorKfyJcSWWhTJ35xpXiCx8vs71795Kvry9pampSjx496OjRo4wxSB5Xr14lHx8fio+Pp9evX1eqgb2kpIQSEhLo3bt3nB0lSX7E50x8OWRqaipZWFhQx44dKSsrS+Y1rkpPaPH/lE8d3N3dafXq1Zyx2UTo6emxvD8kycrKqhQD0vDhw6lu3bokEAiodu3aNGDAANqyZYvM0EnKeJhOmjSJtY0bN448PDzIwMCAJkyYIJWer0AgX09rvu9Avt7ilTXoTE5Opvr163Mei42NpRYtWlBcXJzCbUVycjJFR0eznvljx47RhQsXpNLyjQs7b948zjYuPz+fiQt7+PBhpiMqiicsaxNhYmJCycnJzPfZs2eTh4cH833v3r0yPUEUDcWiTGgYPgQGBpKzszMTB1icwsJCcnZ25vRkEpGbm0sxMTEUFRUlN6QZX8RXAYhf47S0NNLX16+036kopaWlNGrUKFq+fDmzryq9jiXj8ItEGXV1dcuNyc+Hit4XilBSUkJbt26lfv36Udu2bcudGPyWJCYm0vr162n58uWMlxcXubm55Pr/sXfmcTGu//9/zbTv0l7SIkvJnjXSggoRDsIRKhyHkOXgOPYlnIMUh0NR2R1L+HDslLVFlJAlS5ayJVSk5f37o1/3t7uZaqaZZirzfDzuR93Xfd3X/b7nnrnv635fr+v9btuWFBQUyNLSkiwtLUlBQYHatWtXqVKvKgwMDCoN2VJRfE5hqE4foT5QNnSYDDZV9W8ESYRcE2hqavJ9vjx8+JDv8+D9+/fk4uLC9GtKnx/jxo2jGTNm1Li9/FBRUakwBJA4w5YKyuDBg/k6NjMzM6uddE0cvHr1in7//XcaPHgwDR48mObPn88a/KsO48aNIwcHB76DT9++faOePXtWOshRU7Rq1YrJi+Ti4kIzZ84kopLZVfwSS7dp04aUlJSoa9euNG/ePDp9+jSPcLK2Ux0h2oULF8jPz4+0tbVJS0uLxo0bR+fOneP7/RX2/aCU+Ph4ioyMpMjISFa/XhRqUgktLDLntIgUFBTQrl27aPbs2TRp0iTatm2byBlJq5OkrXHjxjR27FiKjIxk4mFWRnXV2bWJvLw8Cg8PJwcHB1JSUqIBAwZU6Yi1sLAQe4D62o6w5yxKXClBqI7KrDS2uJWVFRkbG9OcOXMqdS48fPiQ7OzsBE5yJixKSkoCxbWrrb+z8rH6MjIyqHPnzmRiYlLh51PTSmhBP9NSBHUuqaqqVproNS0tjVRVVQU+blW8fPmS9uzZQxMnTqQWLVoQl8vl23EjEp/CdNGiRUxHURSq4wwuKCignTt3CvQMFFYtLq6Xzlu3blV4bykfz1nQe4Wgye+EjQvbqFEj6tq1K+s7e/HiRTI1NaWOHTsyNpf+fvlds7LnVIqSkhKrb2Bvb0/Lly9n1p8+fUrq6uo89ggbiqU6STgFJTMzk4yNjcnU1JRWr17NJNNbtWoVmZqakrGxcaUDVaUUFhbSrVu3xJbxvkePHoyKpmzM0ylTppCrq6tYjiEuUlNTydDQkFmvSdVxZTH4q4rJLwzi+l5UxuTJk0lNTY2GDRtG06ZN4xkorCsUFxfTmTNnKDg4mIKDgyt1ZguKgoICK2RWeV69ekWKiooiH0fYPkJ9IC4ujm7cuMFTfuPGDbE5JWSIFwMDA1a4vFJ27NjBN9zZ6NGjydXVlV68eMHqI5w6dYpsbGxq2ly+9O/fn9q1a8dKOJmQkEDt27eXyoxeOzs78vHxYZW9fv2aWrRoQUOGDJG4PZXx4sULZkZhdfc3MDCgxo0b0+rVq+no0aMUFRVFgYGBZGpqSvr6+gL5ecTNunXrmGSYZ8+eJWVlZVJSUmJyNPHj48ePdPToUZoxYwZ16NCBVFRUqGvXrvT7779L0nSREUSIRlSiFldWViZPT0/6999/qxxYFPb94MWLF9S9e3eeWPD29vYiDTAT1awSWlhkzmkRiI6O5vtiWlBQQNHR0SK3L0yStkWLFlHPnj1JWVmZuFwuNWnShPz8/GjPnj2UkZHBU19S6mxJ8fDhQ5o3bx4ZGxszzsBDhw7x1AsNDaW+ffsyQed/BIQ95+rElRIGUVVmly5dIkdHR+JyuRU6Fzp27Ehdu3alffv20cWLF3nitYpKhw4d6Ny5c1XWq62/s7Fjx/LcR759+0be3t4iTdkbNGgQozYdNGhQpUt5BP1MyyJIIomOHTtWGlN17dq1jNOvPMIk7yslNzeXTp8+TXPnzqUuXbqQoqIiz4wAcStMHz16xFd9KGyCwJpWIAmjFv/+/TtZWlpWGnKgPOVVw1FRUbR582Zq2bIlubm58d2nqtjO5RE2+Z2wcWGzsrJo6NChpKGhQVu3bqVZs2aRgoIC/f7771U6wiujcePGTL8kPz+fVFRUWL+35ORkvt8hYUOxCBsaRliePXtG7u7uPIki3d3dK3RcTZs2jRn0KSwsJHt7eya5U2XhzgTl8uXLpK6uTr/88gspKyvTtGnTmAz1CQkJIrcvTk6cOEG6urrMuiRUx5KgOt8LYdDR0ZFKboKqOHfuHM2bN498fX0rjCte03C5XL5J+0qpLFyYMFSnj1DX6dixI/3777885YcOHaJOnTpJwaLaw8OHD8nLy6vCZK4jRoyoVJhQUwQGBpKysjL5+/vTzp07aefOnTRlyhRSVVXl20cwMDBgBETlk65VlGS5pnn79i25u7sTh8MhRUVFZtaLu7u7WGdDCWNPixYtmFmar169ombNmtHQoUMFmk0rSW7fvi3y/e7Jkyfk5ubG8zxzdXUVKkl4TfLs2TM6dOiQQCH23r9/TwcPHqTRo0fXqYSI48aN4+tzy8nJ4fuM3bp1q1Cze4R9P3B1daXOnTvzxILv2rVrrRNCiILMOS0CpXFby/P+/Xux//AETZT37ds3On/+PC1cuJBRFHO5XGrRogX9+uuvTL3qqLPrAkVFRXTs2DEaOHAgX6VG27ZtSV1dnZSUlKhZs2Z1JouyKAh7zsLGlRKW6qrMvn79Sjt37iQnJydSUVGh4cOHVzgqqaKiUmkoB1H577//qG3btnT8+HF6/fp1haEAJPk7q44jlR+ihL0p6/QeO3ZspUt5BP1MS0lKSiJdXd0qE0mEh4eTiooKbdq0ieXcKygooI0bN5KKigpflYuwitF58+ZR165dSVlZmdq1a0fTp0+nqKioCgdQxKkwjYyM5BuDrjoJAoXl4cOH9M8//9CyZctoyZIlrIUfwqjFjY2NhXJO81MOGxgY0IgRIypV9gmDsMnvhI0LW8q8efOY+MjicMj88ssv1LVrV4qJiaEZM2aQjo4Oa9rorl27yM7Ojmc/YUOxCBsaprpkZWVRXFwcxcbGVqmANjExYVSGR44cISMjI3rw4AH98ccf1K1bN7HY8/jxY/Lz86OOHTuStbU1jRo1ipKTk8XSdnUoH3Zp+vTpNHz4cFJXV6fJkycz9SShOiYqcYrzi/t++vRpOnnypMjtlyLM90IYSr8ztYnFixcTl8ulTp060cCBA3nijJdy/vx5sra2rtCJZ2NjI1KMVA6HQ3379q1wILpv375ieScSto9QHyj7jCnLkydP+M50+ZEYP348E6+VH7/99hv98ssvErTo/9i/fz9169aNUTd269aN9u/fz7euuro6I2Ap+4yNj4+nhg0bSsxmfjx48IAZ7Jf2/S89PZ0aN25MAQEB1LRpUxo+fLhYckaIG3E4p0vJysqi2NhYio2NrXOiukOHDpG/vz+1atWK5OTkSE9PjxV/ui5QkZ/v3bt3PAkOqxNGVdj3A2Vl5QpjwUsj3E5NwSEigoxqweVy8ebNG+jp6bHKHz58CDs7O3z+/FnsxywqKsLx48exfft2HDt2rMr6Hz9+xNq1axESEoKcnBwUFRWxtufm5mL//v3Yvn074uLiUFRUhHXr1sHHxwcaGhpit1+SvH37Fvr6+qyyJUuWVLrPokWLatIkqSDsObdu3RohISHo2bMnevXqhbZt2+Kvv/5CcHAw1qxZg5cvX4pkz5UrV+Du7o6ff/4Z4eHhmDhxIu7du4dr164hOjoaHTp0YNWPjY1FWFgYDhw4AEtLS/j4+GDUqFHQ1tau8BgODg5YuHAhevXqJZKtFcHlcpn/ORwO8z8RgcPhSPx3tnnzZixcuBDTp0/HihUrkJKSAktLS4SHhyMiIgIXL16sdP8vX75g7969CAsLQ0JCAmP/4MGDER4eDk1NTQwePLjSNg4fPizSOQj7mbq4uKBDhw5Ys2YNNDQ0kJSUBEtLS1y7dg0jR47Es2fPmLqzZs3CunXroKGhgSZNmoCI8OTJE+Tk5GDq1KlYv349jz02NjZYuXIlPD09We2npKTA0dER79+/57FfT08PAQEBGDx4MJo1a1bp+To6OmL69Onw9PQU+DMqfw2ICBkZGUhISMCCBQsEun89evQIkyZNwuzZs+Hq6sraFhkZWem+3t7erPVt27Zh0qRJ0NXVhaGhIeu6cTgcJCYmMuuFhYXYs2cPXF1dYWBggLy8POTk5PDco8uycuVKPHz4EKGhoZCXl6/y3EQhLy8P6enp+P79O6u8devWrHUzMzPs378fXbp0YX0vHj9+jPbt21f43L969SqSkpKQk5OD9u3bV3pvCgkJwdy5c+Hp6YmbN29CTk4Oe/bsQZs2bZg6169fx4cPH9C/f3+mLDIyEosWLUJubi48PT0REhICJSUlAMD79+8xePBgXLlyBerq6oiIiMCgQYOYfV1cXNClSxesWLGCZYuNjQ0CAwMxcOBA1vmGhIRgx44drGsMsH/HpXA4nAp/x5JAWVkZjx8/RqNGjTBhwgSoqqoiKCgIT58+RZs2bWqkryZtnJycWOul9ydnZ2f4+Piwfk/Pnz/HpEmTcPr0aZS+EnA4HLi6umLTpk2wsLAQ2Z7WrVtj1apV6Nu3L6v81KlTmDNnDpKSkkQ+Rk2ydu1aPHnyBBs3bmTd56SJkZER1qxZg9GjR1dab8CAAXByckJAQADf7cHBwbh48SKOHDlSLTvGjRsnUL0dO3ZUq/1ShO0j1Ad0dHTwv//9D127dmWVX7t2Df369cPHjx+lZJn0ad68OXbt2oWOHTvy3X7z5k2MHDkSDx48kLBlwtG3b1906NABy5Ytg4aGBpKTk2FmZgYvLy8UFxfj4MGD0jax1vDw4UP06NEDvXv3xs6dO2vNvbgsSUlJaN++fb24HwUHBwtcd+rUqax1fX19ODg4wNHRET179kSrVq3EbV6N8fnzZxARtLW18ejRI5afr9QPN3fuXLx+/Zq1n6WlJY4cOcLqqwuCoO8HzZo1w65du9CpUydWeVxcHEaOHInHjx8Lddzaisw5XQ1KHQRHjx6Fm5sb8/IHlHxpk5OT0bx5c5w6dUritn3//h3Xr1/HpUuXcOnSJcTGxsLExAQODg7o2bMnj3OhLA8ePEBYWBh27tyJ7Oxs9O7dWyAHuIz6xfr16yEnJ4epU6fi3Llz8PDwABGhoKAA69atw7Rp00Q+RlpaGlatWsW6Gc+ZM4fn4dWyZUu8ffsWI0eOhI+Pj8A3/H///ReLFy/G7Nmz0apVKygoKLC2l3c4AcDOnTuxZcsWPH36FNevX4eZmRmCgoJgYWGBgQMHsupGR0dXevyePXtWuK0mfmfCOlJLiYmJQVhYGA4dOgRjY2MMHjwYQ4YMYTr748aNQ3BwMDQ0NKp8ARX1xVPYz1RLSwuJiYlo0qQJ65yfP3+O5s2b49u3b6z6N27cwN69e/Ho0SMAJQ95Ly8vdOnShe/xVFRUkJqaCjMzM1b7jx49QuvWrfH161dW/aSkJERHR+PSpUu4fPkyFBUV0bNnTzg6OsLR0ZHHWX3gwAHMmzcPAQEB6NChA9TU1Fjb+X1Hy1+Dsg6nPn36VPLpsUlISMDPP/+M1NRUVnn5AZ+CggLk5eVBUVERqqqqyMrKYm03MzPDr7/+ijlz5gh0XFVVVdy/fx9mZmYC1R80aBDOnz8PdXV1tGrViuczKj8gEhMTgxYtWvA4vAsKCnD9+nU4ODjwHOPdu3cYN24c/vvvP742lH/BUFVVZQZ/yn4vkpKS4ODggE+fPgl0bhXh5uaGhIQEbNmyBT/99BO+fv2KGTNmIDw8HEuWLMFvv/0GAHB3d4ejoyPz2d+5cwft27fH2LFjYW1tjT///BMTJ07E4sWLWe1/+vQJ6urqkJOTY5VnZWVBXV0dioqKrPLQ0FAsXrwYa9euha+vL0JDQ5GWlobAwECEhobCy8uLVf/58+eVnp+g116cmJmZYdu2bXBxcYGFhQU2b96Mfv364e7du+jevbvYHDxv377F27dvUVxczCrn91uujXz8+BGPHz8GEaFp06aVDgALi4qKCu7fvw9zc3NW+bNnz9CyZUvk5uaK7Vg1waBBg3Dx4kU0bNgQLVu25OlTiDo4Wx10dHQQFxeHJk2aVFrPzMwMp06dgrW1Nd/tqamp6NOnD9LT02vCTLEhSr+rrjJixAhkZGTg6NGj0NLSAgBkZ2fD09MT+vr6OHDggJQtlB5l+2j8eP78OaytrZGXlydhy4QjJSUFLi4uaN++PS5cuIABAwbg7t27yMrKwtWrV6v8fdcEPj4+lW7fvn17jdugra3N1/mcl5cHJSUlVh+mfN9UmtQn53T5gel3794hLy8PDRo0AFByL1JVVYW+vj6ePHkiBQtrBi6XW+nAB4fDwZIlSzB//nxWeVhYGA4fPoydO3eiYcOGYrfr6NGjWLlyJTZt2gQ7OzsAJe9z/v7+mDNnjlBip9qMzDldDUodBBERERg2bBhUVFSYbYqKijA3N8f48eOhq6srMZuWLl3KOKPNzMwYZ3TPnj1hbGwsVFvCqrPrIjdv3sT9+/cBlDhA27VrJ2WLap7qnvPz589x8+ZNWFlZSfwlm8vlQk1NDfLy8pU+KMp3TIRV74mqPK4O4vydCeNIzczMRHh4OMLCwvD582cMGzYMW7ZsQVJSEmxsbEQ9LRYHDx7EgQMH+CpSyysuhUVfXx+nT59Gu3btWOd89uxZ+Pj44MWLFyK1L6xitDxJSUlYv349du/ejeLiYp7vnDDf0SdPnsDCwkJsKpHbt2/DwcFBIMVoZUprTU1N3L59G5aWlgIdV1i1uLADIlwuFwYGBjhy5Ahr0OHNmzcwNjbm+7IwatQoPH/+HEFBQXB0dMSRI0fw5s0bLF++HGvXrkW/fv1Y9R0cHDB06FD4+/szKicLCwv4+/vj0aNHzKC0sMrmUnr37o2IiAie5/aJEyfg5+eHjIwMACWqyePHjzMd1Pnz5yM6OhpXrlwBUDJAt2jRIty7d6/Sz1AQdu/ejcWLFyMtLQ0AYGxsjCVLlsDX11fktiXB4sWLERQUBCMjI+Tl5eHhw4dQUlLC9u3bsW3bNly/fl2k9m/evIkxY8bg/v37KN+llrai8927d4xysHnz5jwz/SSFoaEh9uzZA2dnZ1b5uXPnMHLkSLx9+1YqdglKTQ/OVoc5c+ZAXV0dCxYsqLSesrIyUlJSYGVlxXf748eP0apVK54BVxnS59WrV3BwcMCHDx+YPvvt27dhYGCAs2fPwtTUVMoWSo+K7imlnD9/HqNGjUJmZqZE7arKscXvefDp0yds3LiRJdiZPHkyjIyMatLUCik7qwooGeBPSUlBdnY2nJ2dJTIYFxERIXDdMWPG1KAlbKqaRZqdnY3o6Oh64Zwuy549e/D3338jLCwMzZs3B1Aitho/fjwmTpyIUaNG8exTVFSEqKgoxvdgY2ODgQMH8ogjahvR0dEgIjg7O+PQoUMsR7OioiLMzMz4+tbatWuHx48fo6CgAGZmZjyCmtL3xuq+H2hrayMvLw+FhYXM7LfS/8sfqzYN2AhLzc6TraeUdkLNzc0xa9Ysni+ENFi8eDEaN26MtWvXYujQodDR0al2W3JycvD09Kw3IzBlefv2Lby8vHDp0iXWyJ+TkxP27dsntRe3mkTUczYzMxOL2q2wsBBFRUWsm+2bN2+wZcsW5ObmYsCAAejevTtrn+q+8D19+lSo+iEhIdi2bRs8PT2xatUqptzOzg6zZs3iqR8TE1Npe/wUmuUR5+/MwsICt2/f5rlO5dVSHh4eiImJQb9+/RAUFAQ3NzfIyclhy5YtIttQnuDgYMyfPx9jx47F0aNHMW7cOKSlpSE+Ph6TJ0/mu092djbCwsJYgyg+Pj6MYqgsAwYMwNKlSxnlEIfDQXp6OubMmYMhQ4bw1G/atClGjRqFUaNGoWnTplXaP2PGDEyePBnfvn0DESEuLg579+5lFKOlxMTEoFu3bpCTk8OtW7eYWStXrlzB58+f0bp1a76KLmG+o02bNkVGRgajCB4+fDiCg4NhYGBQ6X7lBz1Kw4Bs3LgR9vb2Ah971apVfJXWQ4cOxZkzZ/DLL78I1Navv/6KmTNn4uXLlwKpxavz+/fy8oKLiws2bdqEsWPHMuUVjcNfuHABR48ehZ2dHbhcLszMzNC7d29oamoiMDCQxzm9cuVKuLu74969eygsLMSGDRtYYYlKWbp0KRwdHZnO5507d+Dr68tSNhsbG/Mom8+ePcvXzn79+uHOnTvM+sePH1nXPzo6Gu7u7sx6x44dRR6gKRuKZdSoUQKFYhE2NIwkWLx4MWxtbfHixQsMHTqUeQbJyclh7ty5Irfv4+ODZs2aISwsDAYGBrViqnFubi78/f0RGRnJKLnl5OTg7e2NkJAQqKqqStSegQMHYvr06Thy5AijBHz8+DFmzpyJAQMGSNSW6iAN53NVfPv2DVu3bsW5c+fQunVrHjX3unXrAAAmJiaVOqeTk5Ol5gQTFmH6CPUBExMTJCcnY/fu3UhKSoKKigrGjRuHESNG8FzvHw0HBweEhIRU6JwODg5Gjx49JGwVeMLjFBQU4NatW4iIiKgwzKKWlhaPClOa8AvxU1xcjEmTJklMyS1Jh7MwVHWv0dLSkko/p6ZZsGABDh48yDimgZIB7/Xr1+Onn37icU4/fvwYffv2xatXr5h9AgMDYWpqihMnTkhlRoCglL6zpaWlwdzcXOA+naDv89V9PwgKChL0FOo2EoxvXe9YuHCh2BJaicqpU6dozpw51LlzZ1JUVCRbW1uaMmUK/fvvv5Vm0f7RGDZsGNnZ2bGSbN29e5fs7OzIy8tLipbVHNU557i4OFq9ejXNnDmTJ7FSdRk7dixNmDCBWf/8+TOZmpqSnp4etW7dmuTl5enEiRPVbl8UhE36VT7xWmnytdJF0mzbto1MTExo3759pKamRnv37qXly5cz/5ciJydHAQEBTPKVUgRN0Pjvv//S0KFDqXPnzlUm1mzevDnt2bOHiNif6YIFC1gJuUopTf5iYmLCJFJq1KgR6ejo0M2bN3nqC5tIYt26dWRnZ0ccDofs7OwoKCiIMjIyKj1fQZL3lSbMaNCgAcnLy1OHDh1oxowZdOzYMaGyNlcGh8NhJeUo+3lWtZ84EgTeunWLNDQ0eMpXrlxJurq6NGbMGPrrr79ow4YNrKUqe0ptKv0rKqXX4tChQ6SmpkYBAQFUXFxMmZmZFbavoaFBT58+JSKixo0b05UrV4ioJOFURQlGBEl+Z2hoyCThIyL6/fffyd7enlk/cOAAWVtbM+uxsbGVJvf59u0bK6FS48aNKTo6moiI8vPzSUVFhZU4MTk5WSxJL4VN3CmJJJziQFy/TaKS3+OjR4/E1p44mDBhAllaWtLJkyeZhHEnTpygJk2aSCVJWHZ2NnXp0oXk5eXJ3NyczM3NSV5enpycnMR6LX4kHB0dK1ycnJyYelOmTCFbW1v6+vUrTxt5eXlka2tL/v7+kjS9WgjbR5BRv0lMTCQlJSUaMmQIxcbGUnZ2NmVnZ9ONGzdo8ODBpKSkVKu+F7t376YBAwYQEfEkCq5sqU2kpqaSoaGhVG34+vXrD5EMtbahoqJCcXFxPOWxsbF8+8ru7u7k5ubGSuT4/v17cnNzo759+9aoreLC3NyclixZQs+fPxdru8K+H/xoyJzTItC2bVuSk5MjZ2dn2r17N3379k3aJhFRidPvxIkT9Ntvv1HHjh1JUVGRbGxs+DqE6gv5+fn04sULev78OWspj6amZoU3Vy0tLQlYKnmEPecVK1YQh8OhFi1aUM+ePSt84RGWpk2b0unTp5n1jRs3krGxMWVnZxNRSWZtR0fHardfnsjISOrWrRsZGRkxzpX169dTVFQUT11ra2umvKzjLzg4mK/jtbQTXLq8e/eOzpw5Q507d2Y5iCSJII7U69evk5+fH2loaFCnTp0oJCSE3r17J5BzesOGDaSurk5TpkwhRUVFmjhxIvXq1Yu0tLTo999/56lf1qmlp6fHZGd++PAh3wzk3bt3p7Fjx1JBQQFTVlBQQGPGjKEePXpUaNfly5dp06ZNtHr1ajp79myl50BUkn184cKF1LRpU5KXl6fevXtTREQEq05BQQFFRERQZmYmERHl5ubyzdhM9H+O4//9739CdZIjIiIqXfgdoxRBndPCUpqVvXSJioqizZs3U8uWLcnNzY2nfqmTid9iYWHBU//Zs2eVLvwQZkCk7OeUmJhIpqam5OrqSqmpqRU6p+3s7OjUqVNEROTh4UGjR4+mly9f0m+//UaWlpYCf3blUVJSovT0dGbd3t6eli9fzqw/ffqU1NXVmfXyWcE1NDRY17i8g/2XX36hrl27UkxMDM2YMYN0dHQoPz+f2b5r1y6ys7Ortv2l9OzZk44cOSJSGw8fPiQXFxfmc5Y0q1aton379jHrQ4cOJS6XSyYmJmJ5+R84cCAdPHhQ5HbEiY6ODl28eJGn/MKFC6Srqyt5g4iouLiYTp8+TWvWrKGQkBBmcKUu0LZtW577T7t27ah9+/bUrVs38vb2pgsXLkjbTL5kZmaSsbExmZqa0urVqykqKoqioqJo1apVZGpqSsbGxsyzrjZT3T5CXScyMpLs7e1Zfdl169bx7cv+aBw/fpz09PRY4hAul0t6enp09OhRaZvHIi0tjdTU1IiIWAPzlS3SELtUxokTJ6Ty/MjJyaHJkyfzvda17TOqr/Tv35/atWvHGvBJSEig9u3bk4eHB099VVVVHtEGEdHt27eZ30FtZ/369dSmTRuSk5OjXr160d69e6v09X38+JG2bdtGc+fOZRzzN2/epJcvXzJ1hH0/4Ed9HqSROadFJDExkfz9/UlXV5caNGhAv/zyC19HoDQoLCyka9eu0dy5c0lTU7Ne3sAfPnxI3bt353lQVfRQV1dXp1u3bvGUJyYm8lUG1geEPWd9fX3asWOH2O1QVVWlJ0+eMOuDBg1iqXXu3r1Lenp6YjnW33//Tbq6urR8+XJSUVFhnDw7duzg6wAXVHlcFZcuXaL27duL5RwERRhHaik5OTkUFhZG9vb2pKCgQFwul4KCgujz588V7iOsEtrCwoISExOJiKhDhw60ZcsWIiI6ffo0XwWlsrIy3b9/n6f87t27FSpYReX69evUtm1bvvcKQRWjHA6nWrNThFGYcrlc1jHU1dVZv6WKiI6O5vtd+P79O1/HkDBK6+LiYnr27Bnl5eUJespCI+yASHknfkZGBnXu3JlMTEwqfP7t3LmTud8lJCSQrq4ucblcUlZWZhya5TuAlS2lCKtsrmoAIjMzkzgcDrP+7t076tGjB3E4HNLQ0KDDhw+zzsvZ2ZnvZyQs+/fvJ0tLSwoJCaFr165VW9UVHx9PzZs3F9me6mBubk5Xr14lIqIzZ85QgwYN6PTp0+Tr60u9e/cWuf13795R3759afHixXTw4EGeQR5poKKiwpotVUpKSgqpqqpK3J6IiAi+L3X5+fk8g3G1kblz55KWlhZ1796dZsyYQTNmzKAePXqQlpYWTZs2jXr37k1cLrfWOgyfPXtG7u7uLIcYl8sld3d3gZ4ltQFp9BGkTdm+rLKycpV92R+RvLw8Onz4MK1Zs4ZWr15NR44codzcXGmbxSIvL4+mTZtGzZo1I6KqB+qrGrSvacrPmJ0+fToNHz6c1NXVpSJ0+/XXX8na2poOHjxIKioqtH37dlq2bBk1atSIdu3aJXF7fkTevn1L7u7uxOFwSFFRkRQVFZlnCL/3DG1tbabfVZYrV67Uqll0gnDz5k3G16etrU2TJ0/mOysjKSmJ9PT0yMrKiuTl5Zn79fz582n06NFMverOfPxRBmlkzmkx8f37dzp06BD179+fFBQUqFWrVhQUFMSoQiVBUVERxcbG0qpVq8jNzY00NDSIy+VS48aNacyYMRQeHi4xWyRFt27dyMHBgU6ePEm3bt2i27dvs5byDBgwgBwcHOjVq1dM2cuXL6lnz57k6ekpSdMlhrDnbGhoyBP2QRw0bNiQpc41MjJidSrS0tLE9oJhbW3NqP3KOnnu3LlDOjo6fPcRRHlcFffv35fKiLCwU+/LkpqaSrNnzyZDQ0NSVlbmOwJe/hiCKKF9fX1p8eLFRFSikldRUWHCcPj4+PDU19fXZynrSzl16hTp6+uzyoqKiigsLIz69etHLVu2JFtbW/Lw8KCIiAgqLi6u8pxjY2Np2rRpZGhoSKqqqjR8+HCeOoIqRjkcDvXt25eZZlzRIggVKUzLH0NeXp769OlT5TE4HA4ZGhrS9evXWeWVhbkQlKKiIlJQUBDqXiGMWpxI+AGRsWPH8gywfPv2jby9vcnc3FwgG3Nzc+nmzZv07t07pqx82B5+S/kBUWGVzYI4p/lds+zsbL7hQD58+MA6XlmEmVUirlAsFYWGkQTKysqMSmXq1KlMeKkHDx5QgwYNRG7/2LFjpKWlVauUb87OzjR06FBWKIe8vDwaOnQoubi4SNye8jMDSnn//n2deKny8/OjpUuX8pQvW7aM/Pz8iKgk1F+HDh1q1I5BgwYxg2DVeeZkZWVRXFwcxcbGUlZWVo3aKm6E6SPUF6rTl5UhXRo0aEDa2trMUhp6TkNDo9apuSuifJggZ2dnGj58OP3zzz+smQuSwtTUlJkJpKGhwYTRioyMJHd3d4nb8yPz8OFDZuD9wYMHFdYbPXo0tWzZkm7cuEHFxcVUXFxM169fJ1tbWxozZozkDBYj379/p6CgIFJSUiIul0tt2rShsLAw5r3TxcWFZs+eTUTs+/XVq1fJzMyMaae6Mx9/lEEaWUJEMUFEKCgowPfv30FE0NbWxsaNG7FgwQJs27YNw4cPr9Hju7u749q1a/jy5QuMjY3h5OSE9evXw8nJCZaWljV6bGly+/Zt3Lx5Ey1atBCo/saNGzFgwACYm5szWa5fvHgBW1tb7Nq1qyZNlRrCnnNAQAA2bdok9sD7bdu2xc6dOxEYGIjLly/jzZs3rEQmaWlpfLPfVoenT58ymc3LoqSkhNzcXFZZdZJ+JScns9bp/yeaW7VqFdq2bct3n507d2LLli14+vQprl+/DjMzMwQFBcHCwgIDBw4U/iTL0KlTJ9y6dataiSubN2+ONWvWIDAwEMePH8f27dv51jM0NERWVhbMzMzQuHFj3LhxA23atMHTp0/5JpvbunUrk4hr8uTJ0NHRwbVr1zBgwABMnDiRp/7w4cPh6+uLv/76C926dQMAXL16FbNnz8aIESOYekSEAQMG4OTJk2jTpg1atWoFIsL9+/cxduxYHD58GFFRUTztP3z4ELt378bevXvx9OlTODs7Y/Xq1Rg8eDDU1dV56guTvE9DQwMqKip8PzdhqCj5YPnEMD///LPAbQqTIDAmJgYtWrTg+e4XFBTg+vXrrESfXC4XTZs2xYcPHwRKMAkA06ZN42k3Ly8PioqKUFVV5Ukik56eznwXVFRU8OXLFwDA6NGj0aVLF2zcuJFVn1/SMiUlJURERCAlJUUgG1VVVdG+fXtW2cWLFwXatyzLli3D4MGD0bNnT6irqyMiIgKKiorM9u3bt6NPnz5Ct1ueipLzlM0uXpbNmzdj4cKFmD59OlasWMFklG/QoAGCgoJ47kXCJpcVRxJOcaOtrY0XL17A1NQUp06dwvLlyxnbSs9fFPz9/fHzzz9jwYIFVSYplRQbNmyAq6srGjVqhDZt2gAAkpKSoKysjNOnT0vcHiLim1To5cuXdSKZ3YEDB3Dz5k2eci8vL3To0AHbtm3DiBEjmCSENYWWlhbzOVbnc9PW1kbHjh3FbZZEELSPUJ8Qpi/7o/H161ecP3+eSSo2b9485OfnM9vl5OSwbNkyKCsrS9Su8u9OXC4Xenp66Ny5M7S1tXnql39mlsLhcKCsrAwrKytYWFjUhKkVUp0+T02SlZXF+DI0NTWRlZUFAOjevTsmTZokTdN+OJo2bSpQnz84OBhjxoxB165dmeSthYWFGDBgADZs2FDTZoqVgoICHDlyBDt27MDZs2fRpUsX+Pr64uXLl/j9999x7tw57NmzB/Hx8fjnn3949jcxMUFmZiazXt33g+PHjyMyMhKOjo4YN24cevToASsrK5iZmWH37t08SSnrLNLyitcXEhISaPLkydSwYUMyMjKiOXPmsBLjBAcHS2RE38vLi/75559KVWx37typcTskjZ2dHV2+fFmofYqLi+nMmTMUHBxMwcHBAsWpresIc85FRUXk5uZGlpaW1L9//2opQPlx6dIlUlFRIUtLS1JRUeFRz06aNIm8vb2r3X5ZhI0hLazyuKJ4cV27duU77VTYMCPCIq6p95UhrBL6+fPnfFXMxcXFfOPB5+fn09SpU5mpYlwul5SUlGj69Oms6eDbt28nDQ0NvvE9z58/TxoaGnxVuBwOhzp16kRBQUECxdcUVDFaXvEqKuJUmAqbIFBYpfWxY8eoe/fuIj1bKotHLGxomPJ8/vyZ/vnnH+rUqROP/UuWLBFoKUtBQQEtWbKEXrx4IfD5Caps5nA4dPHiReY3q6amRidOnGDWz58/LxaFaU0r8cSVhFOcTJ48mczMzKhXr16ko6NDX758ISKivXv38n0eCIu6ujo9fvxY5HbETW5uLm3dupUJQ7Ft27YaDcPDj9JYzVwul1q1asWK19y6dWvS0NCgoUOHStSm6qCvr8/3uRIREcH08e/evSu1eN4/AoL2EeoTwvZlfyQ2b95M/fv3Z9bV1dWpc+fOjNrX0NCQ1q1bJ0ULBaOi94my/U0HBwepzHR4+/YtXb58mS5fvlyt8HXiolWrVnTp0iUiKlGnzpw5k4hKQr+ZmJhIzS4ZVfPo0SM6duwYHTt2rNYljq6Kmzdv0pQpU0hHR4f09PRo5syZPO/4d+7cIWVlZSIqmVVc+s5S9n595swZatSoEU/7ws58VFNTY96fTUxMKDY2lohKErjXlTjegsAh4iOfkiEQrVq1QmpqKvr06YPx48fDw8MDcnJyrDrv37+Hvr4+oyCUNF++fMHevXsRGhqKmzdvikUlVJu4cOEC/vjjD6xcuRKtWrViRudK0dTURMOGDfHw4UPo6urCx8cHGzZsgIaGhpQslgyinPOUKVMQGhoKJycnGBgY8Kid+KkTBeX+/fs4c+YMDA0NMXToUHC5XGbb1q1b0alTJ5byeMaMGQK1W16tFBoaisWLF2Pt2rXw9fVFaGgo0tLSEBgYiNDQUHh5ebHqOzo6Yvr06fD09BToeM+fP2etlyojKlJo2NjYYOXKlfD09ISGhgaSkpJgaWmJlJQUODo64v379wIdtyLKfo6lcDgcRq0mjt99cXExiouLIS9fMuFm3759uHbtGpo2bYqJEyeyRn2BEtVKRkYGjwr3w4cP0NfXR1FREZKTk2Fra8uyPy8vD2lpaQCAJk2aQFVVlbV/nz594OzsjLlz5/K1c+XKlYiOjuZRBz569EhghS/Ae43LU6pSr+g8q6IyhampqSn+++8/odrjB5fLRWZmJvT19XHr1i0MHDgQNjY22LBhA2xsbHi+F1wuF9OmTcPWrVtZSus3b97AyMiI5zmmra2NvLw8FBYWQlFRkUc9XqpuqYqEhAQetTgA+Pn5wdTUFIsWLcKmTZswe/Zs2NvbIyEhAYMHD0ZYWBjf9mJiYhAWFoZDhw7B2NgYgwcPxpAhQ1iKQS6XC2NjY+jr6/NVkQMlv6HExERWmYaGBu7cuQNzc3OBzk1QuFwu85vlZ4e4fssqKipITU2FmZkZ61706NEjtG7dGl+/fmXVj4yMrLS98mr32khBQQE2bNiAFy9eYOzYsYwScf369dDQ0ICfn59I7Y8ZMwY9evQQuZ36yJIlS5i/M2fOZM1SUVRUhLm5OYYMGcLz/KhtLF++HCtXrsT48eOZ+0h8fDxCQ0Px+++/Y/78+Vi/fj1OnjyJs2fPStna+kN1+gj1CWH7sj8SPXr0wG+//QYPDw8AYD3PAGDXrl3YtGkTrl+/LnHbsrOzERYWhvv37wMAWrZsCR8fH76zHc6fP4/58+djxYoV6NSpEwAgLi4OCxYswB9//AEtLS1MnDgRnTt3rrDPI25yc3Ph7++PyMhIpt8nJycHb29vhISESPw3t379esjJyWHq1Kk4d+4cPDw8mBnr69at45mVJ0N6FBcX488//8SxY8fw/ft3uLi4YNGiRWKZXSpp5OTk0Lt3b/j6+sLT05PHxwSU/FamTJmCHTt2wM/PDx8+fMCBAwfQsGFDJCcnQ05ODp6ennBwcBB5Rnrr1q0REhKCnj17olevXmjbti3++usvBAcHY82aNXj58qVI7dcWZM5pEVi2bBl8fHxgYmIibVN4EOTlvD5Q2mEt70At+yKvrq6O5ORkWFpaQk5ODpmZmdDT05OGuRJDlHPW0NDAvn370K9fvxq2smqcnJyqrMPhcHDhwgWe8t27d2Px4sXMS4yxsTGWLFkCX19fnroHDhzAvHnzEBAQUGUIB6Ak3ICBgQGUlJRY5USEFy9eoHHjxqxyYR1CwiKoI1UU0tPTYWpqyve3xu+cuVwu3rx5w/O9e/78OWxsbJCbm8ty7FpaWiI+Ph46OjqV2mFoaIhTp05VGD7l1q1bcHd3Z02hKiU7OxsHDx5EWloaZs+ejYYNGyIxMREGBgbVvo+XdQALu19ZOBwO9PT04OzsjLVr18LIyKha9lRmW2ZmJjw9PfHy5UtkZGTwODpLr8eVK1fg7e2NCRMmYO3atXj79i2MjY156kdERFR6/PLhSCri9u3bcHBwwOfPn1nlwgyIZGZmIjw8HGFhYfj8+TOGDRuGLVu2ICkpCTY2NjzH7NevHy5cuABXV1f4+Pigf//+fAd5yjNw4EAMHjxY4HMTlKp+w6WI+lu2sbFBYGAgBg4cyLoXhYSEYMeOHTzO+PLTkMuHYik/ACFMaBhpU1xcjJMnTzLTwqvLihUrEBQUhH79+vEdJJ86dapI7QtKRdPD+TFgwIAatISXiIgIDB8+XOJT7MXJ7t27sXHjRjx48ABASUgsf39/jBw5EkBJmIHSqfiS4uDBgzhw4ADS09Px/ft31rbyv+W6SHX6CPUNYfqyPxJGRka4fv06M1Csp6eH+Ph4Zv3hw4fo2LEjPn36JFG7EhIS4OrqChUVFcbZHB8fj69fv+LMmTM8YcNsbW2xdetWJlRNKVevXsWECRNw9+5dnDt3Dj4+PkhPT5fIOUycOBHnzp1jheO6cuUKpk6dit69e2Pz5s0SsaMinj9/jps3b8LKyorn/UyGdFm2bBkWL16MXr16QUVFBadPn8aIESMqDBlZm3n+/LlQfe5Pnz7hp59+QkJCAhNmNzMzE127dsXJkyd5fAvC8qMM0sic02Ki9GPkF1NPUgj7cl4fiI6OrnR7z5490bt3b7x58wYdOnRgXpAqGsGrizdPfohyzmZmZjh9+rTAcbxrO4LEkBZWeczlcmFtbY1jx46hSZMmTPmbN2/4OvGEdQjVRgRRQgP/p3bfsGEDxo8fz1JYFBUVITY2FnJycrh69Sp0dHRw8uRJdO7cuUJndnkUFRXx/PnzCp23r1+/hoWFBSv2IFCiwHJxcUGDBg3w7NkzPHjwAJaWlvjjjz+Qnp7OoxAVVDEaHR0Ne3t7xoFamxg3bhyCg4NZsyby8/MxYcIExMTE8MQTFlZpLSw1pRb38PBATEwM+vXrh1GjRsHNzQ1ycnJQUFCo9Pn3+vVrREREIDw8HJ8/f4a3tzd8fHzQvHnzCo+1ZcsWLFmyBKNGjeI7kCVpp5+wiEOJ9+jRI0yaNAmzZ8+Gq6sraxuXy4WBgQGOHDmCLl26MOUV3RulwePHj7F9+3aEh4fj3bt3KCgoEKm9yuKBcjgcPHnyRKT2BUWQwRUAYptNI0O6BAcHY/78+Rg7diy2bt2KcePGIS0tDfHx8Zg8eTJWrFghbRNFpjp9hPpC2XwoBgYGAvVlfyRUVFRw+/btCp/XqampaNu2Lb59+yZRu0rjwG7bto3pFxYWFsLPzw9PnjxBTEwMq76Kigri4+Nha2vLKr9z5w46deqEr1+/4vnz57C2tkZeXp5EzkFXVxcHDx6Eo6Mjq/zixYsYNmwY3r17JxE7quLly5dYunQptm7dKm1TZPx/mjZtilmzZjG5hc6dO4d+/frh69evAvdRahsJCQnMLAhra2vY2dlVWv/q1atISkpCTk4O2rdvj169etWIXfV2kEbCYUTqHaGhodSyZUtSVFQkRUVFatmyJW3btk3idvTv3580NTVpxIgR9L///Y+JYSMvL093796VuD21iczMTJozZw799NNPxOVyyd3dnTw9Pfku9QVRznn79u00bNgwys3NlYLlvHz69InOnDlD//vf/2os5tmzZ88qXcrD4XBoyJAh1LBhQzp37hxTnpmZSRwOh6f+tm3byMTEhPbt20dqamq0d+9eWr58OfO/qERERFS6iAMOh8P383/27Bmpqqoy66Xx/jgcDnXr1o2V8btPnz40YcIEJjb++PHjSUlJiczNzYnL5VLjxo3JwsKC71IKl8ut9HtQUXxkZ2dngbIol9KgQQPWoqamRhwOh5SUlASKd1wV0dHRfGNVf//+naKjo0Vuvyr4xYkuHz87IyODOnfuTCYmJhXGO378+DHNnz+fvLy8mH1PnjxJKSkpfNsXNh5xTEwMjRo1irp06UIvX74kopIM7WVzDcjJyVFAQABPzgVhnn/R0dE0duxY0tDQoG7dulUYm5dfLPKy5yMNIiMjqVu3bmRkZMTcr9avX8/EKi3Prl27yMrKirHbxMSEQkNDhTpmfHw8NW/enKecw+HQ9OnTSVVVlXbs2MGUV3RvlBR5eXkUERFBPXr0IC6XSz179qTNmzcLFH9ehugUFhbSn3/+SR07diQDAwPS1tZmLXWFhIQE2rlzJ+3cuZOJLSktmjdvTnv27CEi9jNtwYIFNHnyZGmaJjaq00eoTwibD+VHwsrKig4ePFjh9v3791OTJk0kaFEJysrKfHPP3L17l1RUVHjK7e3tyc3NjdWvffv2Lbm5uVGPHj2IiOjs2bPUrFmzmjO6HCoqKnTv3j2e8pSUFFZ/X9rcvn1bav2uH43//vuP1e/euHEjtWnThkaMGMGKh66oqEjp6emsfZWUlITK1VJbePHiBXXv3p04HA7TV+FwOGRvb18nz6euIHNOi8CCBQtITU2N5s6dS0ePHqWjR4/S3LlzSV1dnRYsWCBRW8Txcl5X+fjxI/3111/k6+tLvr6+tG7dOsrOzuZb19zcnN6/fy9hC6WLsOfctm1b0tDQIHV1dbK1tWUlMJJ0ApZbt26RkZER40TR1NTkmzitPKVJmMov7du3p27dupG3tzffhHqCUppobt26daSkpEQbNmwgooodo0TicQhVRE06UgMCAiggIIC4XC5NnDiRWQ8ICKCpU6dS586dqVu3bjz7jR07lj59+lRl+//99x+FhIQQh8OhZcuWUVBQEN+lFA6HQ3379uVJ1Fm69O3bl+810NTUZJKWlX2Rf/bsGSkpKQn0WVSWvE9YhE0+KA4qSxBIVHLNPn/+zCr79u0beXt7k7m5OU/90iSnvXr1IkVFReYzDQwMpCFDhohs78GDB0lFRYX8/PxISUmJaT8kJITc3d2ZetevXyc/Pz/S0NCgTp06UUhICL17906o51+p87JTp06koqIi0He3NiBMstWCggKKiIhgHLK5ubnVTuZZUeJOYZNw1jRxcXE0YcIE0tTUpHbt2tFff/1FcnJyYu0XifIsETfnz58na2trvt/f7OxssrGxoZiYGInbtWDBAjIyMqK//vqLlJWVadmyZeTr60s6OjrM87M28+bNG3JycuJ5SXV2dpZaorCyjks9PT26ffs2EZU8pxo2bCgVm2oCYfsI9YmePXsyCWxlsJk6dSrZ2NjQ169febbl5eWRjY0NTZ06VeJ26evr0+nTp3nKT506xSRPLUtqaio1b96cFBUVqUmTJtSkSRNSVFSkFi1a0IMHD4iI6MiRIxQZGVnjtpfi7OxMQ4cOZX22eXl5NHToUHJxcZGYHVUhc05LDltbWzpx4gQRESUnJ5OSkhLNmzePunTpQmPHjmXq8RMQqaur05MnTyRqrzhwdXWlzp07U2pqKlOWmppKXbt2JVdXV6bs2rVrdPz4cda+ERERZG5uTnp6ejR+/HixJe09d+4czZs3j3x9fWncuHGspb4gc06LgK6uLqNaKMuePXvEkvVeGMTxcl4XiY+Pp4YNG5KJiQnjnGrUqBHp6OjQzZs3pW1enWTx4sWVLpKkT58+1K1bN7p27RolJibSoEGDyMrKqsr95s6dS1paWtS9e3eaMWMGzZgxg3r06EFaWlo0bdo06t27N3G5XEZZKKzyuKzC9OTJk6SlpUV+fn6Unp7O01ESp0NIGMTlSBVGCS0K/ByjFdUTZCmPsFmUK6IixaiwVFdhKqxKlqhEFezt7U1qamrUtGlTmjNnDsXFxQllLz+ldZcuXWjt2rVExP5MY2Nj+WZQF1Yt3rZtW+b3V7b9xMREMjAw4Kmfk5NDYWFhZG9vTwoKCsTlcikoKKjS79W1a9fIz8+PNDU1yc7OjjZt2kQfP36ssH5Z+L0U86M610xQrK2tGedF2c/ozp07fPshwirxSgfeS5eoqCjavHkztWzZktzc3Hjql703JiYmkqmpKbm6ulJqaqrEXyJbtWpFZmZmNG/ePJaSX9z9IkVFRbK0tKRly5bxKIYkjYeHB61bt67C7Rs2bJDKLDFLS0v63//+R0Ql39PSgcINGzbQiBEjJG6PsAwbNozs7OxYasK7d++SnZ0deXl5ScUmCwsL5pnWoUMH2rJlCxERnT59uk6p0QVF0D5CfWL//v1kaWlJISEhdO3aNUpKSmItPzKZmZlkaGhIjRs3pjVr1lBUVBRFRUXR6tWrydTUlIyMjKQyM8bf358aNWpE+/bto/T0dEpPT6e9e/dSo0aNaNq0aXz3KSoqov/++482bNhAGzZsoFOnTlFRUZFkDS/DnTt3yNjYmHR0dMjZ2ZmcnZ1JR0eHTExM+M6KkxYy57TkUFNTo6dPnxIR0aJFixgBys2bN1n9cX4CInl5eerTpw+rrC6grKzMd4ZUQkICaxaEm5sbrVq1illPTk4meXl58vPzo7Vr15KhoSEtWrRIZHsWL15MXC6XOnXqRAMHDqy3s/9lzmkR0NLS4uuUefDgAWlpaUneIKrey3ldpnv37jR27FgqKChgygoKCmjMmDHMdCgZtYvi4mKKj4+nf//9lw4ePEg3b96k4uJivnXLDzJ8/PiROBxOlapGPz8/Wrp0KU/5smXLyM/Pj4iIFi5cSB06dCAi4ZXH5cMf3L17l5o0aUKtW7fm21GS1tRMcTlSiQRXQpeSk5NDf/zxB3Xt2pWaNGki9Sm4vr6+5OnpSd+/f2dG8Z8/f07t2rWr8IWBHxUpRoWlOgpTYVSyGRkZFBgYSFZWVqSvr09TpkwR2ilXldJaTU2NUUOUdYw+ffqUrxpdWLW4iooK0xku235aWlqVavfU1FSaPXs2GRoakrKyMnl4eLC2r169mqytrUlPT4+mT58u8It+YWEhLV26lIyNjUlOTo6x6Y8//uA7E0KYa1YdlJWVmXtL2c/o4cOHpKyszFNfWCWesKFYqhMapqZQVFSk0aNH05kzZ1jPGHE7p9+9e0fr1q2jNm3aMC9h+/fvp/z8fLEdQ1AaN27Mdzp2Kffv3ydTU1MJWlSCqqoqPX/+nIiIDA0Nmed6WloaaWpqStweYdHU1OQ7oBcbGyu1/r6vry8jGNi4cSMzi6VBgwbk4+MjFZtkiJeKwkdJM4xUbeLJkyfk6urKfCaln4urqyvzLJQ0+fn5NHXqVFJUVCQul0tcLpeUlJRo+vTpYlNPSoLc3FzaunUrI/DZtm1bheHOpIXMOS05tLW1mX6Tvb09/fPPP0RU0t8v66itroCoNtK0aVOKjY3lKY+NjWWFDDI0NKT4+Hhm/ffffyd7e3tm/cCBA2RtbS2yPYaGhhKdQSEtZM5pEZgyZQoFBATwlM+cOZN+/fVXKVjEpqqX8/qAsLG9ZAhOTcRWvHDhAllYWPB0JJs0acJXOVne0UEk2PQgTU1NevToEU/5o0ePmBfh+/fvk7q6eoVtVKY8dnR05FFXvnv3jhwcHPiqXqU1NVNcjtTq4OXlRUZGRvTbb7/R+vXrpT4FNzs7m3lxl5OTI1NTU1JQUCAHBwfKycnhqS+IYvTTp08CL+WpjsJUUJWsqDkIBFVam5iY0NWrV3nsOXz4MFlaWvI9Z2HU4hYWFnT27Fme9iMiIgTu6BUWFtKRI0d4nn8cDofMzMxo8uTJrFA15ZfyLFmyhCwtLWnXrl0sZ/O+ffuoS5cuPPWFVTY/efKE76D3w4cPGUd9+fZLFdhl2w8ODuYbhqmmlXjChoapSV6+fEnLly+nJk2akLGxMc2cOZMSExNJQUGhxmaU3bx5k6ZMmUI6Ojqko6ND/v7+TLgFSaCkpMT32VfKo0eP+A5a1DTNmjWjGzduEFHJi21gYCARlfxu9PT0JG6PsKirq9OtW7d4yhMTE6X2jC0qKmIJM/bu3Uv+/v4UHBwslYERGeJH2HwoPyofPnyg2NhYio2NpQ8fPkjbHCIqce4mJydTcnJylTl8Ll26RP3792fCenh4eEgl/FJto6LwfaWLk5OTzDktITw8PMjV1ZWWLl1KCgoKTA6Y06dPU9OmTaVsXc0QFRVFnTp1Yjme4+PjqUuXLqx3eiUlJdasOXt7e1q+fDmz/vTp00r9DYLSsGFDZtZZfUZe2gkZ6zphYWE4c+YMk5U+NjYW6enp8Pb2xowZM5h669atk7htzZs3x5o1axAYGIjjx49j+/btErehptHU1ER6ejpatGjBKn/x4gU0NDSkZFXd5u3bt/Dy8sKlS5fQoEEDAEB2djacnJywb9++amdKf/z4Mfr374/OnTtj/fr1aNGiBYgI9+7dQ3BwMPr27Yvk5GRYWlqy9rt37x4yMzOZdSLC/fv38eXLF6asfJZaZWVlXLt2DVZWVqzya9euQVlZGQBQXFzM/M+Ppk2bYtWqVfj555+RmprK2nbx4kWe+rq6uoiOjkZWVhbPtl9//RUzZ87Ey5cv0aFDB6ipqbG2i5pl99ixY6x1IkJGRgY2btwIe3t7kdouJTc3F6tWrcL58+fx9u1bFBcXs7Y/efKEtf7ff//hxIkTYju+qGhpaeHs2bO4cuUKkpOTq8yi7OnpyVrncDjQ09ODs7Mz1q5dCwBo0KABOBxOpcclInA4HBQVFVVYp127doiLi4OnpydcXFwqrPf06VO0a9eOp1xJSQm5ubnM+n///YepU6di0qRJaNq0aaX2lZKZmYnw8HCEhYXh8+fPGDZsGPLz8xEVFQUbGxu++3h5eWHOnDn4999/weFwUFxcjKtXr2LWrFnw9vbmqc/hcDBv3jz06NED3t7eSE5OZj5Lfp/j+PHjMW3aNGzfvh0cDgevX7/G9evXMWvWLCxYsECg85KTk4OnpyfP9XRwcACHw8Hdu3cr3JefTZGRkdi6dStcXFzwyy+/MOVt2rThuU8Agl+zUsaOHQsfHx+e6xYbG4vQ0FBcunSJVT5jxgxMnjwZ3759AxEhLi4Oe/fuRWBgIEJDQ3na9/LyAgBMnTqVdZ4VfU9jYmLQokUL6Ovrs8oLCgpw/fp1ODg4sMp37NjB91wjIiKQkpLCs60mMTExwfz58zF//nxcuHAB27dvh729PQoLCxEeHg4/Pz80a9ZMrMds3749DA0NoaOjg1WrVmH79u34+++/0bVrV2zZsgUtW7YU6/HKY2JigpSUFJ5nXynJyckwMjKqURv4MWjQIJw/fx6dO3eGv78/fv75Z4SFhSE9PR0BAQESt0dYnJ2dMW3aNOzduxfGxsYAgFevXiEgIKDSe3ZN8vLlS5iamjLrXl5e8PLyAhHhxYsXaNy4sVTskiE+zMzMpJgs9UsAAKv5SURBVG1CnaBhw4bo1KmTtM1goaqqilatWlVZb9euXRg3bhwGDx7MPJevXLkCFxcXhIeHY+TIkTVtKgDe94jKGDBgQA1a8n9oaWlVuZ1fX1OG+Nm4cSN+/fVXHDx4EJs3b4aJiQmAkvcNNzc3KVtXM4wdOxZ5eXno3Lkz5OVLXKaFhYWQl5eHj48PfHx8AJT0h58+fQpTU1N8//4diYmJWLJkCdPOly9foKCgILI9fn5+2LNnj8DvP3UVDhGRtI2oqzg5OQlUj8Ph4MKFCzVszY/J1KlTceTIEfz111/o1q0bAODq1auYPXs2hgwZgqCgIOkaWAcZPnw4njx5gsjISFhbWwMocRCPGTMGVlZW2Lt3b7XanTJlCu7fv4/z58/zbCMi9OrVCzY2NggJCWHKuVwu4zgpT2UOleXLl2PlypUYP348OnbsCACIj49HaGgofv/9d8yfPx/r16/HyZMncfbs2Qptvn37NhwcHPD58+cqz+/MmTMICwvDsWPH8PXrV9Y2LpcrlP3CUr798o5UcTgjRowYgejoaIwePRpGRkY8jrtp06ax1i0sLHDy5EnmO1QfiY6OFrhuz549Wevjxo1DcHAwaxAtPz8fEyZMQExMDJ4+fcrTho2NDQIDAzFw4EBoaGggKSkJlpaWCAkJwY4dO5CYmAgAuHHjBsLCwrB//35YW1tj9OjR8PLygpGREZKSkniczR4eHoiJiUG/fv0watQouLm5QU5ODgoKCnzrl/L9+3dMnjwZ4eHhKCoqgry8PIqKijBy5EiEh4dDTk6OVZ/L5SIzMxP6+vq4desWBg4cCBsbG2zYsAE2NjY8vwMiwsqVKxEYGIi8vDwAJY7OWbNmYdmyZQJ+8uJFRUUFqampMDMzY12De/fuoVOnTsjJyWHVF/SalaKpqYnExEQe5+Ljx49hZ2eH7OxsHpt2796NxYsXIy0tDQBgbGyMJUuWwNfXl6fu8+fPKz2/8s4QLpcLAwMDHDlyhBmEB4A3b97A2Ni4ynvXly9fsHfvXoSFhSEhIUHke52ofPr0Cbt378b27duRmJgIW1tbJCcni9xuQUEBjh49iu3bt+Ps2bOws7ODr68vRowYgXfv3uGPP/5AYmIi7t27J4azqBh/f39cunQJ8fHxPIOvX79+RadOneDk5ITg4OAataMqrl+/juvXr6Np06bw8PCQqi2C8OLFCwwYMAB3795lHMIvXryAra0tjh07hkaNGkncJjk5OWRkZPAMHH348AH6+vpS/63JqB7Hjh2Du7s7FBQUqnQYSspJKKNyBg8eLHDdw4cPs9atra0xYcIEnkG6devWYdu2bbh//75YbKwKfu8p/BDHO4sMGXWBiIgIget9+/YNq1evRlRUFCIiIvD69WsoKioCKOmjBwUFIT4+XiR7pk2bhsjISLRu3RqtW7fmcXhLQwhbE8ic0zLqNN+/f8fs2bOxZcsWFBYWAgAUFBQwadIkrFq1CkpKShXuS0S4ePEivn79im7dukFbW1tSZkuEwsJCFBUVsT6DN2/eYMuWLcjNzcWAAQPQvXt3nv20tLRw7tw5xqlbSlxcHPr06cPXOSIItra2CAwMrPBF9Pjx45g3bx5LXVeVI6UUfuqS3bt3Y+PGjXjw4AGAkpkE/v7+jArh69ev4HA4UFZWrlR5bGpqiv/++4/vcZ8/f47t27cjIiICHz9+hLu7O4YMGYKhQ4fy1BPW/tpGgwYNhFJC79q1C0ePHkVERARUVVVr2LrKKS4uRnh4OA4fPoxnz56Bw+HAwsICP/30E0aPHs1XISusYlScpKSkwNbWlqc8NDQUixcvxtq1a+Hr64vQ0FCkpaUxKtlSVWwpubm52L9/P7Zv3464uDgUFRVh3bp18PHxYTnF5eXl+Sqtq3JOl5Keno6UlBTk5OSgXbt2Faq1yzqngRK1tqenJ16+fImMjIwKX3i+f/+Ox48fIycnBzY2NlBWVsbbt28ZBaMk6dChAwICAvDzzz+znM1Lly7F2bNncfnyZVZ9Ya+ZlpYWLl26xKO2vnnzJhwdHVkzRgoLC7Fnzx64urrCwMAAeXl5yMnJ4fnOigKXy8W0adOwdetWbNq0CWPHjgVQ8iwxMjLimUFRSkxMDMLCwnDo0CEYGxtj8ODBGDJkCM9zRZrcvn0b27dvF9lR6+/vj71794KIMHr0aPj5+fH8fjMzM2FsbFzh5yUu3rx5g/bt20NOTg5TpkxB8+bNAQCpqanYtGkTioqKkJiYCAMDgxq1oxQzMzM4OzvD2dkZjo6OLKVvXYOIcO7cOWaGhLW1dYUzbyQBl8vFmzdveGazPX/+HDY2NnxnZsio/ZR9TlbmMJQ5CWsP48aNE7hu+dlFSkpKuHv3Lt8BaVtbW3z79k0sNsqQISppaWnYsWMH0tLSsGHDBujr6+O///5D48aNa3xWWG3m/fv3GDx4MK5cuQJ1dXVERERg0KBBzHYXFxd06dIFK1asEOk4lYli65UQVrJRRGTIqBmqiu318eNH8vb2JltbW/Lz86NPnz6Rvb09E/fYwMCg3mW+Hjt2LE2YMIFZ//z5M5mampKenh61bt2a5OXl6cSJEzz71VRsRQ0NDb4xU0t58uRJtWIy3blzp9o2lSJM0q/8/Hzau3cvubi4kLKyMvXv35/k5OQoOTlZZDuqS3R0NE9sbiKi79+/843lXR3Mzc0rTbRVnrZt25KGhgapq6uTra0ttWvXjrXwIzIykrp160ZGRkZMPMX169czMXWrQ3FxMfXr1484HA61bduWvLy8aPjw4dS6dWvicDg0cOBAvvsJm7yvlNzcXLp//77QsXyrSj5Yyq5du8jKyor5rpqYmPBNxFeeynIQXL9+nfz8/EhDQ4M6depEISEh9O7dO6ESxxUXF1eY2LQUccUjlmYSnKioKNLS0qJVq1aRqqoq/fnnn+Tn50eKiop05swZvvsIc8369+9PQ4cOZeKEE5XEzR4yZAgT67wswiZbjYiIqHQpjzCJO8WRhLMu4uzsTHv27Kk02VVBQQFdunRJIvY8e/aM3N3deXI7uLu7V5mvQdwsWrSIevbsScrKykx+CT8/P9q7dy9lZGRI1Jb6Qmk8fC6XSxMnTmTFyJ86dSp17tyZunXrJm0za4Sa6CPIkCFNmjRpQlu2bOEp37x5M1lZWUnBIhkyeLl06RKTdFdRUZHJbxIYGEhDhgyRsnU1w/PnzytdypOdnc3qu5fy4cMHWR4IIZA5p0XA0dGRnJycKlxk1DwRERF8HWZfv35lvWj7+vpS06ZNafny5dS5c2fq2rUrdenShW7cuEFxcXHk6OhI/fv3l6TpNU7Tpk3p9OnTzPrGjRvJ2NiYsrOziYjot99+I0dHR579BgwYQA4ODvTq1Sum7OXLl9SzZ0/y9PSstj38khuWpSqnX1lKHXkdO3aUqJOqNNFVly5daOPGjfT+/XsiqjrRnLAOIWGpriNVGHbu3Ek//fRTlYldSlm8eHGlS3n+/vtv0tXVpeXLl7MSze3YsYPv95RIsBfV7du3k4aGBl24cIFn//Pnz5OGhgbfayBs8r63b99Sv379mOzs5ZeKEDT5YEFBAUVERFBmZiYRlTjBK/s9VURFCQKJiHJycigsLIzs7e1JQUGBuFwuBQUF8TiUyxIaGkotW7YkRUVFUlRUpJYtW9K2bduEtkuYQSZpZ2iPiYmhXr16kZ6eHqmoqJC9vT3rXltKda7Z3bt3SUdHh5o0acJkNW/SpAnp6enx/YyETbbaoEED1qKmpkYcDoeUlJRIW1ubp76giTtFTcIpQ/xkZWVRXFwcxcbGUlZWllRt+fbtG50/f54WLlxIDg4OpKSkRFwul1q0aFErEohXxPnz58na2ppvUtvs7GyysbGReOIyR0dHcnR0JA6HQ926dWPWHR0dqU+fPjRhwgS+SVXrOtXpI8iQISm+fv1KR48e5dtf+vTpEx09epTvAObff/9NioqK9Msvv1BkZCRFRkbSxIkTSUlJia/TuiYR5H4nLsGLjLpFly5daO3atUTETr4dGxtLJiYm0jStxigd2Bf2va6m2L59O+Xl5Un8uJJG5pwWgenTp7OWyZMnk729PWlpadHUqVOlbd4PAYfDIXV1dTp48CCrvLxTztjYmFEtvXz5kjgcDl28eJHZHhsbSwYGBhKxWVKoqqqyVFKDBg0if39/Zv3u3bukp6fHs196ejq1bduWFBQUyNLSkiwtLUlBQYHatWtHL168qLY9pZ95eUVp6XL+/Pkqb/aCOvIKCwvpzz//pI4dO5KBgQFpa2uzFn7tCqI8lpOTo99//52n81mVA0ZYh5CwCOtIrQ7VUUILg7W1NeNkK9vxuXPnDuno6PDUF/RFtXfv3hQYGFjhcVesWEF9+vThKRdGMUpENHLkSLK3t6f4+HhSU1OjM2fO0M6dO6l58+b0v//9j1W3ugpTYVWyolCZ0rqUBQsWkJqaGs2dO5eOHj1KR48epblz55K6ujotWLCgymMIqhYvj7Sd08JQnWv26tUrmjdvHvXt25eGDBlCS5YsoQ8fPvCtu3//frK0tKSQkBC6du2a0Ip9IqKHDx+Si4sLnTp1imdb+UHFjIwM6ty5M5mYmLCugZycHAUEBPA4xX4U5/Tjx49pypQp5OLiQi4uLuTv7/9DZFWvLllZWTR//nzS1NSs1b9lDw8PWrduXYXbN2zYINKgvSiMHTuWrxOpviJsH6GuU1RURGFhYdSvXz9q2bIl2drakoeHB0VERFQ5S0mG5AkKCiJnZ+cKt7u4uFBISAjfbYcPHyZ7e3tq2LAhNWzYkOzt7aUyG6A23+9kSBc1NTXGp1D2/vv06VNSUlKSpmk1xu3bt1lLfHw8bd26lVq0aEGHDh2SuD36+vqkoaFBPj4+dPXqVYkfX1LInNM1wKJFi2jmzJnSNuOHgMPh0Nq1a0lFRYUWLVrElJd3IMnJybHCM6ioqLBeHDMyMmr1C1J1aNiwIcspYGRkRLt27WLW09LSSEVFhe++xcXFdObMGQoODqbg4GA6e/asyPaUjkCWD6FRtpzfNaiOI2/BggVkZGREf/31FykrK9OyZcvI19eXdHR0aMOGDXxtE0R5vGfPHurVqxepqanRsGHD6Pjx41RYWFgtB0xlDiFhEdaRWh2EVUKXkpCQQDt37qSdO3dSYmJihfWUlZUZJ17Zjs/Dhw9JWVmZp76gL6oGBgZ8w9SUkpiYyHdgSlDFaCmGhoYUGxtLRCUhbB48eEBEREePHiV7e3umnigKU2FVsuKgMqW1rq4u7dmzh6d8z549lToLBB1kqghpOqd9fX1ZA5tVUdPXTNj7aUXEx8dT8+bNecoFDcUijtAwdZVTp06RoqIiderUiQmv0KlTJ1JSUqow1MuPRn5+Pl26dIkWL15Mjo6OpKKiQlZWVuTj4yOW2UM1RePGjSsNZ3X//n0yNTWVoEU/LsL2Eeoy1Q1HJkN6dOzYkY4dO1bh9uPHj1PHjh0laJHwyO53MirCxMSEcYiWvf8ePnyYLC0tpWmaxPnf//5HPXv2lPhxCwoK6PDhwzRgwABSUFCg5s2b06pVq+pdiDSZc7oGePTokVjUkDKqptSBdP36dTI0NKQhQ4ZQXl4ej1OuvPqr7I2VSLzhD2oLzs7ONHfuXCIqmYbO5XJZDvozZ85QkyZNePaLiIjgO/UsPz9fpJfIZ8+eCbSUpbqOPEtLS0atqq6uzgxEbNiwgUaMGMFTX1jl8ZMnT2jhwoXUuHFj0tXVJS6XS//++6/Qn0lFDiFhEdaRKgnevHlDTk5OxOFwGMU6h8MhZ2dnevv2LU99a2trRilS9vcZHBzMV5kt6IuqgoICT9zwsrx69YoUFRV5ygVVjJZSNqZ648aN6cqVK0RU8l0pOwgkisJUHCpZcaKlpcV3+viDBw9IS0uLVSbMIFNFsytKl/3794v1ex0TE0OjRo2iLl260MuXL4moJGTM5cuXeeoOGDCAlJSUqFGjRjRr1qxKBz6IBLtmSUlJVFRUJNC5l0eY+2ll3Lp1S+icAvzCjFQnNExdp23btjRnzhye8jlz5ohlVkldZsmSJeTk5ESqqqpkbW1NEydOpD179rDChtVmlJSU6NGjRxVuf/TokdQcozk5OfTHH39Q165dqUmTJmRhYcFa6hvC9hHqMtUNRyZDejRo0IBvHNpSnj9/Tg0aNKhwu6BCjpqkNt/vZEiXmTNnUvfu3SkjI4M0NDTo0aNHdOXKFbK0tKxUoFQfefToEamqqkrVhszMTPrrr7+oVatWpKCgQB4eHhQVFcW8S9RlZM7pGiAyMpKMjIykbcYPQalilKjkwd+mTRtq27Yt3bhxg8c5vWLFCtqwYQNt2LCBlJWVacGCBcz68uXL651zujR5gaWlJamoqJCPjw9r+6RJk8jb25tnv7KfaVnev39f459ReWdHdR15qqqqTCfR0NCQbt68SUQlanFNTU2e+tVVHhcXF9OpU6do6NChpKSkRCYmJqzQKVVRHYcQP4R1pIqCoB3oYcOGkZ2dHUuFcffuXbKzsyMvLy+e+tu2bSMTExPat28fqamp0d69e2n58uXM/+UR9EWVy+XydYaXUtE1FjZ5n52dHaOC9/DwoNGjR9PLly/pt99+Y6kKRFGYikslKy6mTJlCAQEBPOUzZ85kxZEVdpCpurMsqsPBgwdJRUWF/Pz8SElJifkehYSEkLu7O999srKy6J9//qGePXsSl8slGxsbWrFiBd+Er4KcQ9nfb1XnLiql4VdKl6ioKNq8eTO1bNmSb8LF8ggTikWQ0DA1RemzXZBFVJSUlCocpKmv010FhcPhkJmZGW3evJnJ0VCXsLS0rHTmw6FDh6TmCPby8iIjIyP67bffaP369RQUFMRa6hvC9hHqMtUNRyZDeqirq1NCQkKF2xMSEvgmfRdWyFGT1Ob7nQzpkp+fT35+fiQvL08cDocRH/z88898kwDWBz59+sRasrOz6f79+zR8+HBq06aNtM2jGzdu0IQJE0hJSYnMzc1JS0uLzM3NhZrdWRuROadFYNCgQazF09OTOnfuTHJycj/cKJK0KO+Uy83NJU9PT9LQ0GC9OJuZmZG5uXmVS33j3r17FBQURPv27eMZTfvnn3/4qv44HA7fDtHt27drZEZAZckNq+vIa9asGd24cYOIiOzt7ZlO/r59+/jG2RaH8vjDhw+0fv16at26Nc82UR1CVSGsI7U6CNuB1tTU5BuqITY2lkdVW8quXbvIysqKccaZmJhQaGgo37qCvqhyOBzq27cvz/26dOnbt6/QTj9+itGdO3cyqvuEhARGUa+srEz79u3jqV8dham4VLKiUBq2ICAggPz9/UlDQ4NatmxJvr6+5OvrS7a2tqSpqUlTpkxh9hF2kKk6syyqS9u2bRkFWtlBjorCvZTnxYsXtGbNGmrRogXJyckJfS6ldUpjiAp7zsImW+Xn8DYwMKARI0ZUOsNAlFAslYWGqSnKP9tL4/yXvXepqamJ5UW7UaNGdODAAZ7y/fv3//BToE+dOkVz5syhzp07k6KiItna2tKUKVPo33//lbjjpTpMmTKFbG1t6evXrzzb8vLyyNbWVqgBaXGipaXFzND5URCmj1CXqW44MhnSo3PnzrRq1aoKt69cuZI6d+7MUy6skKMmqc33Oxm1g/T0dDpx4gTt37+/XibeLQu/hIgcDocaN25M165dk4pNmZmZ9Oeff5KNjQ0pKyuTl5cXE3o1JyeHfvvtN2rcuLFUbBMXHCIiyKgW48aNY61zuVzo6enB2dkZffr0kZJVPxZLlizB7NmzoaqqyipftGgRYmJicPHiRSlZVvdo164dOBwOkpKS0LJlS8jLyzPbioqK8PTpU7i5ueHAgQNiOV5MTAzCwsJw6NAhGBsbY/DgwRgyZAg6duzIUzc3Nxf79+/H9u3bERcXh6KiIqxbtw4+Pj7Q0NDgqT937lxoamri999/x/79+/Hzzz/D3Nwc6enpCAgIwKpVq1j1uVwuMjMzoa+vDwDIzMyEp6cnXr58iYyMDBQVFYl0rlwul7XO4XCYe8XatWthZGQkUvuVkZKSAltbW5HbGT58OJ48eYLIyEhYW1sDAO7du4cxY8bAysoKe/fuZdXX0NDA5cuX0bZtW1b5rVu30LNnT3z+/LnCY+Xl5SEnJ4e5HhWxe/duLF68GGlpaQAAY2NjLFmyBL6+vkyd8vfpitixY0el2798+YK9e/ciLCwMCQkJVX4n8vLykJqaisaNG0NXV7fSug8ePEBYWBh27tyJ7Oxs9O7dG8eOHRPIbknj5OQkUD0Oh4MLFy4AAG7cuIGwsDDs378f1tbWGD16NLy8vGBkZISkpCTY2NjUpMmVoqqqinv37sHc3BwaGhpISkqCpaUlnjx5AhsbG3z79q3CfQsKCnDixAns2rULJ06cQMOGDfHq1atq21JQUICJEydiwYIFsLCwEGgfbW1tnjby8vKgqKgIVVVVZGVlVduezMxMhIeHIywsDJ8/f8awYcOwZcsWqV8zYdmzZw/+/vtvhIWFoXnz5gBKfnPjx4/HxIkTMWrUKJHaX7p0KdavX4+5c+eiW7duAICrV69i9erVmDFjBhYsWCDyOdQHvnz5gsuXLyM6OhoXL15EUlISrKys4OTkhI0bN0rbPL68efMG7du3h5ycHKZMmcJ8f1JTU7Fp0yYUFRUhMTERBgYGErfNwsICJ0+eZJ7HPxKC9hHqKoqKinj+/HmFfcPXr1/DwsIC+fn5ErZMRkVs3boVM2bMwL59+9C/f3/WtuPHj2PEiBFYt24dJkyYwNqmpaWFc+fO8bz7xMXFoU+fPsjOzq5p0xlq8/1ORu2iqKgId+7cgZmZGU8/tL4QHR3NWi/181lZWbF8JJLCw8MDp0+fRrNmzeDn5wdvb280bNiQVeft27cwNDREcXGxxO0TG9L2jsuQIaNmOX/+PE2ePJn69etH/fv3J39/f4qOjuapV5rYjsPh0KxZs1jJ7lauXEl79uyh/Px8kWypTnLD8lRnqvi1a9do7dq1FSYrkYTyWJIIM/VeUIRVQg8YMIAcHBxYsUVfvnxJPXv25JvtOy8vj3Jzc5n1Z8+e0fr16+n06dM8dQsKCigiIoIyMzOJqGTGBL9QNOJAUMXokiVLWPaXkpeXR0uWLBHoWFUpTIVVydY2amM8YgsLC0Z1UFY5HRERQdbW1nz3uXDhAvn5+ZG2tjZpaWnRuHHj6Ny5c4z6uSzCXjNNTU0mI3p1qSzZanR0NN/fyvfv31nPBVESd9Y2LC0t+YYgSkhIEMv9vbi4mNatW0cmJiYsRWdQUBDf78SPTmFhIV27do3mzp1LmpqatT6k2rNnz8jd3Z0VbofL5ZK7u7vIv1VR2LlzJ/300098nzv1EWH6CHWd6oYjkyFdRo0aRRwOh6ytrcnT05M8PT2pRYsWxOVyK1RBq6ur81XJJyYmiiXsn7DU1vudDOkybdo0ZpZKYWEh2dvbMzPQ6noYibqCj49PlYrt4uJiic2krSlkymkZ9YJ79+4hPT0d379/Z8o4HA48PDyY9eLiYoSHh+Pw4cN49uwZOBwOLCws8NNPP2H06NHgcDjSML1G+eWXX7B161Zoa2ujWbNmICI8evQI2dnZ+PXXXxESEsKzT0REBIYPHw5lZWWx2uLh4YGYmBj069cPo0aNgpubG+Tk5KCgoFAtJV5RURGOHz+O7du316jKVBzK45iYGLRo0YJH5VNQUIDr16/DwcFBpPbLHkdQNbqwCKuEfvHiBQYMGIC7d+/C1NSUKbO1tcWxY8fQqFEjVv0+ffpg8ODB+OWXX5CdnY3mzZtDUVER79+/x7p16zBp0iRWfVVVVdy/fx9mZmYin1t5qqMYlZOTQ0ZGBs81/vDhA/T19UVW3wM1q5KVNLVFLR4YGIhdu3Zh+/bt6N27N06ePInnz58jICAACxYsgL+/P6u+iYkJsrKy4ObmhlGjRsHDwwNKSkoVti/sNRszZgzatm2LgIAAkc4rISEBP//8M1JTU1nlXC4XBgYGOHLkCLp06cKUv3nzBsbGxsz3VF5eHlOnTsWkSZPQtGlTpl5179fSRFVVFdHR0XyVaY6OjsjLyxPbsb58+QIAfGf0/KgUFxcjISEBFy9exKVLl3D16lXk5uaiUaNGcHJygpOTE8aMGSNtM6vk48ePePz4MYgITZs2lbparF27dkhLSwMRwdzcHAoKCqztiYmJUrKsZhC2j1CX4XK5cHd3r/DZkp+fj1OnTomlXyFDvBw4cAB79uzBo0ePQERo1qwZRo4ciWHDhvGtP3DgQGRnZ2Pv3r0wNjYGALx69QqjRo2CtrY2jhw5IknzGWrb/U6GdGnUqBGioqJgZ2eHqKgo/Prrr7h06RJ27tyJCxcu4OrVq9I2UWwI8i4iLy8PQ0ND2NraQlFRUQJW/TjInNPVQFtbu0pHZumXtnfv3liwYAEaNGggGeN+MJ48eYJBgwbhzp074HA4KP06l16f0o4bEcHDwwMnT55EmzZt0KJFCxAR7t+/jzt37mDAgAGIioqS1mnUCEeOHIGXlxf++ecfjBkzhvlMSp30kyZNwr///osBAwZIxB5JOzsePXqEixcv4u3btzzTWxYuXFjpvsKGcKgKQR1C1UFSU++r04EmIpw7d45xkFlbW6NXr15829fV1UV0dDRatmyJ0NBQhISE4NatWzh06BAWLlyI+/fvs+o7Ojpi+vTp8PT0FNs5AtUfROFyuXjz5g309PRY5RcuXMDw4cPx7t07sdpZyqNHjzBp0iTMnj0brq6uNXKMinBycqr0WVga1qMyJDXIVBFEhJUrVyIwMJBxUiopKWHWrFlYtmwZT/1t27Zh6NChIj3TK7tmy5cvx9q1a+Hi4oIOHTpATU2NtX3q1KkCHeP27dtwcHDgGTTicrmYNm0atm7dik2bNmHs2LEASu5FRkZGzL2yNodiERYPDw+8evUKoaGhaN++PQDg5s2bmDBhAkxMTGptCJ36gLu7O65du4YvX77A2NgYTk5OcHR0hJOTEywtLaVtXp1myZIllW5ftGiRhCyRDML2Eeoy4gpHJqP2I6yQQ4YMaaCsrIzHjx+jUaNGmDBhAlRVVREUFISnT5+iTZs2lYZqrGuUD8VZGYaGhti/fz969OhRY/Zcv34dHz58YIULioyMxKJFi5CbmwtPT0+EhIRUKpSpS8ic09UgIiKiyjrFxcV4+/YtduzYgXbt2vHEY5UhHjw8PCAnJ4fQ0FBYWFggLi4OHz58wMyZM/HXX38xN4sdO3Zg2rRpOHr0KE/M1AsXLsDT0xMbN26Et7e3NE6jRhgwYABatmyJwMBAvtvnzJmD1NRUHD16lFXO5XIrdThV15EqSWfHtm3bMGnSJOjq6sLQ0JB1PhwOp0JFUU0pjwV1CAmLuNXolVHTHWhVVVUmRvOwYcPQsmVLLFq0CC9evEDz5s151I0HDhzAvHnzEBAQwNeJ17p162rZIewgSulg5adPn6Cpqcn6rhUVFSEnJwe//PILNm3aVC17BKEilWxNU17dW1BQgNu3byMlJQVjxozBhg0bJGqPKHz//h2PHz9GTk4ObGxsoK6uzlOnoKAAKioquH37tsizKSq6ZpXFmuZwOHjy5AmrrLxjlYiQkZGBjRs3wtTUFP/99x9re6nC/8qVK/D29saECROwdu1avH37lu9AmbDx/msj7969w5gxY3Dq1ClGXVpYWAhXV1eEh4dXK25taY4GQahvClZhGDFiBKOOLns/lSFDWITtI8iQUVcQRsghQ4Y0MDMzw7Zt2+Di4gILCwts3rwZ/fr1w927d9G9e3d8/PhR2iZKFCLCmzdvsHz5cly7dq1G+3nu7u5wdHTEnDlzAAB37txB+/btMXbsWFhbW+PPP//ExIkTsXjx4hqzQZLInNM1TGJiInr37o0PHz5I25R6ia6uLi5cuIDWrVtDS0sLcXFxaN68OS5cuICZM2fi1q1bAEqmAzo7O2Pu3Ll821m5ciWio6Nx+vRpSZpfozRq1AiHDx9Gp06d+G6PjY3FkCFD8PLlS1Z5VFQU66W7oKAAt27dQkREBE+yueogCWeHmZkZfv31V+ZGXhnVVR5nZ2cjLi6OrzK7/CCHsA4hQZG0Gl2QDvSFCxcwZcoU3LhxA5qamqxtnz59Qrdu3bBlyxaeUebWrVvDz88PgwYNgq2tLU6dOoWuXbvi5s2b6NevHzIzM1n1+Y1sl86e4HA4EhtEiYiIABHBx8cHQUFB0NLSYrYpKirC3NwcXbt2rZYtglKRSlZaLF68GDk5Ofjrr79EbquwsBCXLl1CWloaRo4cCQ0NDbx+/Rqampp8HcjC8unTJxQVFfEkFcnKyoK8vDzPd9jS0hJHjhxBmzZtRDquuK6ZsMlWyyZ/vXXrFgYOHAgbGxts2LABNjY2lf5uaksolury8OFD5t7VokULNGvWrNptVaVaLUt9U7DKqF3cvHmTUQ23bNkS7dq1k7JFNYOwfQQZMmTIkCEeFi9ejKCgIBgZGSEvLw8PHz6EkpIStm/fjm3btuH69evSNlEqPHv2DC1atKg0ebqoGBkZ4fjx47CzswMAzJ8/H9HR0bhy5QoA4N9//8WiRYtw7969GrNBksic0zXM169fsXXrVkybNk3aptRLtLW1kZiYCAsLCzRp0gShoaFwcnJCWloaWrVqxSgpDA0NcerUKZ54uaXcunUL7u7u9apzq6ysjCdPnjAhGMrz6tUrWFlZ4evXrwK1t2fPHuzfv59HaS0KNeXs0NTUxO3bt6ucNlxd5fHx48cxatQo5OTk8KhlORwOTxxZURxClVEbp94PGDAATk5OFcbMDQ4OxsWLF3nCgBw8eBAjR45EUVERXFxccObMGQAlMYFjYmJ4FKDPnz+v1A5RY1ELO4gSHR2Nbt268cT9FCfCqmSlxePHj9GpUyeRY2A/f/4cbm5uSE9PR35+Ph4+fAhLS0tMmzYN+fn52LJli8i2uru7w8PDA7/++iurfMuWLTh27BhOnjzJKg8LC8Phw4exc+dOHoc2P0S5ZuXDVImDsvcioGRwztPTEy9fvkRGRoZA9yJph2KRUTcIDg4WuK6g4Wpk/B9v376Fl5cXLl26xIQZys7OhpOTE/bt28cTYqquI2wfQYaM2szXr19x/vx5Zqr+vHnzkJ+fz2yXk5PDsmXLxJ7/R4aM6nLw4EG8ePECQ4cOZWbLRkREoEGDBhg4cKCUrZMenz59YgmTxI2ysjIePXrEzFru3r073N3dMX/+fAAlDvJWrVoxOU/qPBJJuyhDRg3RvXt3OnLkCBERjRgxgtzc3OjKlSvk7e1NLVu2ZOopKCjQ69evK2zn1atXpKioWNPmShQOhyPWbN9paWmkpqYmDtN4KCwspCNHjpCHh4dY2vPx8aHNmzdXWU9OTo4CAgLo4cOHrHJ5eXm6e/duhfs1bdqUpk2bxsocXxkcDofevHnDrGdkZFDnzp3JxMRELBnXc3JyKCwsjOzt7UlBQYG4XC4FBQXR58+fRW77/PnzZG1tTZ8+feLZlp2dTTY2NhQTE8OUNW7cmO7du1dhe/fv3ydTU1O+2zIyMigxMZGKioqYstjYWLp//74IZ/B/REZGUrdu3cjIyIjJZrx+/XqKioqqdL/U1FSaPXs2GRoakrKyMvM9LfuZfPr0qdJFHJRmTi+bQd3AwIBGjBhR6f1N0kRGRpKRkZHI7QwcOJB+/vlnys/PJ3V1dUpLSyMioosXL5KVlZXI7RMRaWtr8/2+3r9/nxo2bMhT3rZtW1JXVyclJSVq1qwZtWvXjrWUpzrXLDQ0lFq2bEmKioqkqKhILVu2pG3btvGtGx0dzbq3lPL9+3eKjo7mKR87dizPfeHbt2/k7e1N5ubmfI9R1xk3blyli7iIj4+nyMhIioyMpISEBLG1W1cxNzdnLWpqasThcEhbW5u0tbWJw+GQmpoaWVhYSNvUOsmwYcPIzs6Odf+6e/cu2dnZkZeXlxQtqzlquo8gQ4ak2Lx5M/Xv359ZV1dXp86dO5OjoyM5OjqSoaEhrVu3TooWypAhozbQuHFjpj+fn59PKioqdO7cOWZ7cnIyaWtrS8s8sSMvbee4DBmi8McffyA3NxcAsHTpUvTv3x89evSAjo4O9u/fz9QrKiqCvHzFX3c5OTkUFhbWuL2SZsGCBVBVVeW7TZj4fF+/fkVwcDBMTEzEZRoLOTk5eHp6VprcbufOndiyZQuePn2K69evw8zMDEFBQbCwsOAZsbWyssKCBQtw48YNtGrVikfNWqrSunLlCsLCwtChQweW8rgqXr16halTp1b42ZZnzJgxUFFRYdYNDQ0RHR2NCRMmICYmRqA2KkNNTQ0+Pj7w8fFh1OirVq3C3LlzRVajBwUFYfz48TzhDQBAS0sLEydOxLp165gwHW/evKlUPSwvL19hckBDQ0MYGhqyyioKSxMZGVmp3eVDq2zevBkLFy7E9OnTsWLFCkYh2qBBAwQFBVU66t+8eXOsWbMGgYGBjGIUKJm5kZGRAX19fTRo0ICvwpVEDDNSlurGJq8pBg8ezFqn/68KTkhIwIIFC0Ru//Lly7h27RpPJmxzc3O8evVK5PYBID8/n++9v6CggO+sEmETcAp7zRYuXIh169bB39+fCQdz/fp1BAQEID09HUuXLmXVd3R05JtsNSsrC05OTjzfO34JtJSUlBAREYGUlBShbK0rlI+FWFBQgJSUFGRnZ8PZ2Vnk9l++fIkRI0bg6tWrLAVrt27dsG/fvh82odXTp0+Z//fs2YO///4bYWFhaN68OYCSmVPjx4/HxIkTpWVinebUqVM4d+4crK2tmTIbGxts2rQJffr0kaJlNYcwfQQZMqTJ48ePkZaWBgcHB6ioqDB9wVJ2796N3377jbXPnj17mBmfu3btwqZNmyqchVgTCPo+4uDgUMOWyKgNBAcHY8KECVBWVq5yJpRs9lPN0bdvX8ydOxerV69GVFQUVFVVWaExk5OT0aRJEylaKF5kYT1k1DuysrKYJGWlcLlcuLu7V5jJND8/H6dOnRKLA6m24OjoKNB08IsXL7LWy392RIQvX75AVVUVu3btwoABA8Rua1WUdyympKTA0tIS4eHhiIiI4DkHYZOKCRvCYfDgwfDy8sKwYcNEPreUlBSRk6vxQ1xT783MzHDq1CnWC3BZUlNT0adPH6SnpwMAmjRpgrVr11boxDt8+DBmzZrFcw2AkiRxBw4cQHp6Or5//86zX1m0tbVZ6wUFBcjLy4OioiJUVVV5QkrY2Nhg5cqV8PT0hIaGBpKSkmBpaYmUlBQ4Ojri/fv3lX4O/IiOjoa9vT3k5eURHR1dad2ePXsK3X55YmJi0KJFC54EbgUFBbh+/brEXxjGjRvHWudyuUy8427duokcE1pbWxtXr16FjY0N65pduXIFQ4YMwZs3b0RqHwCcnJxga2uLkJAQVvnkyZORnJyMy5cvi9S+sNdMT08PwcHBGDFiBKt879698Pf35/meipps9cuXL9i7dy/CwsKQkJBQr56BlVFcXIxJkyahSZMmPA4CYXFzc0N2djYiIiJYjtdx48ZBU1MTp06dEofJdZomTZrg4MGDPPGQb968iZ9++onlyJYhGBoaGrh8+TJPuLpbt26hZ8+etSYHgTgRpo8gQ4Y0+PDhA4YPH44LFy6Aw+Hg0aNHsLS0hI+PD7S1tbF27VoAJXFkr1+/DnNzcwAlz/74+Hhm/eHDh+jYsSM+ffokMdu5XC7z/leRe0hcYgsZtR8LCwskJCRAR0dH6Pfquk5RURGuXr2K1q1bM6IDafH+/XsMHjwYV65cgbq6OiIiIjBo0CBmu4uLC7p06YIVK1ZI0UrxIXNOiwmqgdiQMsRHeSdKRfBTlf1oREREsNZLHU6dO3fmcQhKippwLFaEIHGww8LCsHTpUowbN46vMrsqB35dcggpKysjJSUFVlZWfLc/fvwYrVq1YlSm/v7+uHTpEuLj43li5X39+hWdOnWCk5MTzyj8vn374O3tDVdXV5w5cwZ9+vTBw4cP8ebNGwwaNEig3+ajR48wadIkzJ49G66urqxtKioqSE1NhZmZGes79OjRI7Ru3Vrg2OvShMvl8lXJvnnzRqTEmsKyfv36StU8X758gZubG65evSrScYYPHw4tLS1s3boVGhoaSE5Ohp6eHgYOHIjGjRuL5X599epV9OrVCx07doSLiwsA4Pz584iPj8eZM2d4EncCJarYgwcPIi0tDbNnz0bDhg2RmJgIAwMDntklwl6zBg0aID4+npXgFCh5Ue3UqROys7NZ5dVNthoTE4OwsDAcOnQIxsbGGDx4MIYMGYKOHTsK/NnVdR48eABHR0dkZGSI1I6KigquXbvG1/Hao0cPoWYp1VdUVVURHR3N8/2Ki4uDo6Oj7DOqBgMHDkR2djb27t3L5BZ59eoVRo0aBW1tbZ68DnUdcfQRZMioaby9vfH27VuEhobC2tqa6WuePn0aM2bMwN27dwGUPDdu377NDGiWJzU1FW3btq3RRGvl0dHRgYaGBsaOHYvRo0dDV1eXb72ajK8rQ0ZtQVlZGffv36/UMS9JPn36BHV1dcjJybHKs7KyoK6uzjPLtM4irXgi9QVhYkPKED9fv36lNWvWkLu7O3Xo0KHK+J8y2MTHxwtV/86dOzVkSeUoKyszMYLLxp59+PAhKSsr18gxK4uDXT6ObPmYshURHR1N3t7epKamRk2bNqU5c+ZQXFxcjdgvLiwtLZm47vw4dOgQK2ZoZmYmGRsbk6mpKa1evZqioqIoKiqKVq1aRaampmRsbEyZmZk87bRq1Yo2btxIRP93jYuLi2n8+PG0cOFCge2Nj4+n5s2b85RbW1szsaXLfoeCg4PFcq9ISkriuyQnJ9PDhw/p27dvIh+Dw+HQ9OnTSVVVlXbs2MGUZ2ZmEofDEbl9QVFWVqaIiAi+23Jycqhbt258r4GwvHjxgmxsbMja2prk5eWpS5cupKOjQ82bN+cbZ7m63L59m0aOHEk2NjbUoUMHGjduHE8c+lKSkpJIT0+PrKysSF5envkezZ8/n0aPHs1TX9hrNmXKFAoICOApnzlzJv3666982y/9LBITE8nU1JRcXV0pNTWV516UkZFBgYGBZGVlRfr6+jRlypQq4+vXZ06cOEG6uroit9O0aVOKjY3lKY+NjaUmTZqI3H59oH///tSuXTu6efMmU5aQkEDt27cXW66JH4309HRq27YtKSgokKWlJVlaWpKCggK1a9eOXrx4IW3zxI64+ggyZNQkBgYGdPv2bSJi9zXL5+2xsrKigwcPVtjO/v37Jf78yM/Pp3379lGfPn1IRUWFhgwZQidPnqTi4mKJ2iFDRm2gQ4cOrNjOMiSDLOa0CAgbG1KG+PH19cWZM2fw008/oVOnTlUq1z99+oSioiI0bNiQVZ6VlQV5eXm+cXXrOjk5OZCTk2PFPL59+zYWLFiAkydPVqm2LFX5hoaG4ubNm1JR+VpYWOD27dswMzNjlVcWbuLly5c4duwY3+mf69atq/KYlcXBFiaObGZmJsLDwxEWFobPnz9j2LBhyM/PR1RUFGxsbARuR1r07dsXCxYsgJubG18l9KJFi5hs4wBgYGCAa9euYdKkSZg3bx5rVomrqys2bdoEAwMDnuOkpaWhX79+AABFRUXk5uaCw+EgICAAzs7OWLJkiUD2ysvL4/Xr1zzlM2bMwOTJk/Ht2zcQEeLi4rB3714EBgYiNDRU4M+jItq2bVvp/UdBQQHDhw/HP//8U+3s6xwOB/PmzUOPHj3g7e2N5ORkZoqoJGft7Ny5E6NHj0aDBg1YswRycnLg5uaGd+/eVRnmRBAaNWqEpKQk7Nu3D8nJycjJyYGvry9GjRrFup9Vl4KCAkycOBELFizA7t27BdpnxowZGDt2LNasWcMK+dO3b1+MHDmSp74g12zGjBms+qGhoThz5gyjtI6NjUV6ejpPHPXytGvXDnFxcfD09GRU4KV4eHggJiYG/fr1Q1BQENzc3CAnJ4ctW7YIdN51mbKfL/B/sdFPnDiBMWPGiNz+n3/+CX9/f2zatAl2dnYASsIPTJs2DX/99ZfI7dcHtm/fjjFjxsDOzo6ZaVRYWAhXV1ex3H9/RExNTZGYmIhz584hNTUVAGBtbY1evXpJ2bKaQVx9BBkyapLc3Fy++WiysrJYoSX79u2LhQsXol+/fnz71kuWLGG+75JCUVERw4cPx/Dhw5Geno7w8HBMmTIF+fn5GDNmDJYsWVJp/iYZ9RciwsGDB3Hx4kW8ffuW5z24PoZVWr58OWbNmoVly5ahQ4cOUFNTY22vjz6jWoF0feN1G11dXdqzZw9P+Z49e0hHR0cKFv14aGpq0pUrVwSu7+bmRps2beIp37x5M7m7u4vTNKmTnp5OXbp0IS6XSwoKChQQEEC5ubk0evRoUlRUpOHDh9ONGzcq3L8mVb6RkZHUrVs3MjIyYhTR69evZ5St5dm2bRuZmJjQvn37SE1Njfbu3UvLly9n/i/PuXPnSFVVlWxtbUleXp7atm1LDRo0IC0tLXJychLLOQhC//79SVNTk0aMGEH/+9//qLCwkIioTqkVq6uEJiLKysqiuLg4io2NpaysrEqPY2JiQsnJyURUopAqvbdeu3aNNDU1eeofPXqUtURFRdHmzZupZcuW5ObmxvcYu3btIisrK0blbmJiQqGhocJ8HBUSFRVFzZs3p9DQUEpOTqbk5GQKDQ0la2tr2rdvH+3atYsaNWpEM2fOrPYxhFHJ1jTbtm0jVVVVunjxIhGVKKa7d+9OVlZW9OrVK4naIgqampr05MkToeo/fvyYiNiqqGfPnpGSkhJPfUGumaOjo0ALv3vX2LFj6fPnz6yyb9++kbe3N5mbmzNlcnJyFBAQwKMIr0v3oupS/nN0dnam4cOH0z///EMFBQUit9+gQQNSVFQkLpfLzKIr/V9bW5u1/Og8ePCAuWc/ePBA2ubIqEMI20eQIUMauLu70x9//EFEJX2EJ0+eUFFREQ0dOpSGDBnC1MvMzCRDQ0Nq3LgxrVmzhulbr169mkxNTcnIyKjCvrUkefLkCTk5ORGXy6UPHz5I2xwZUmLq1KmkpKREbm5uNGbMGBo7dixrqY+UnxVdulQ1S1qGaMic0yKgpaXFd+rvgwcPSEtLS/IG/YBYW1tTUlKSwPW1tbXp3r17POX379+nhg0bitM0qTN8+HBq27YthYSEMB0LOzs7mjx5coVTPiUx7fvvv/8mXV1dWr58OamoqDDOnR07dpCjo2OF+wnjWOzYsSMzzbPUgfTlyxcaMGAA/f3332I5j0uXLlH//v2pSZMm1KRJE/Lw8KCYmBhWnfriEHr27Bm5u7szD+XSB7O7u7tQjr3KGDFiBK1du5aIiJYuXUp6enrk5+dHZmZmNGjQIJ76/MKpGBgY0IgRI+j169esugUFBRQREcF09HNzc8UaFoKo5Dt36tQpnvJTp05Rx44diYjoyJEjZGlpWe1jlHV0EpX8Xjt37kwmJiZS6SitXr2aNDU16eLFi9SjRw+ytLQU+3Tyhw8f0j///EPLli2jJUuWsBZx4O3tTevWrRO4vp6eHiUmJhIR2zl95swZatSoEU99aV6zsmGYrl+/Tn5+fqShoUGdOnWikJAQevfuXZ27F9VGwsPDBV5kyBCV8+fPk7W1NX369IlnW3Z2NtnY2PD0ReoDwvYRZMiQBnfu3CF9fX1yc3MjRUVF+umnn8ja2poMDAyYge1Snjx5Qq6urjx9a1dXV6ZvIQ2+fftGu3fvJhcXF1JVVaWhQ4fSf//9JzV7ZEgfbW1tOnHihLTNkCiXLl2qdJFRM8gSIoqAv78/FBQUeEIEzJo1C1+/fsWmTZukZNmPw3///Yfg4GBs2bKFJ+QDP9TU1HDjxg20atWKVX7nzh107ty5XiXlMTY2xuHDh9GlSxe8ffsWhoaGWLduHaZPn863ftlp36NGjWKmfSsoKCApKUlsISiETW5YWFiIPXv2wNXVFQYGBsjLy0NOTg709fUrPIaGhgZu376NJk2aQFtbG1euXEHLli2RlJSEgQMH4tmzZyKdw65duzBu3DgMHjwY9vb2AEoSqx05cgTh4eHM9P4bN24gLCwM+/fvh7W1NUaPHg0vLy8YGRmJ9TOVFB8/fsTjx49BRGjatKlYE2RmZWXh27dvMDY2RnFxMdasWYNr166hadOm+OOPP0Q+lqqqKu7fvy/QfaI6qKio4NatW2jRogWrPDU1Fe3atcPXr1/x7Nkz2NjYVPs+M27cOAQHB7PCSeTn52PChAmIiYnB06dPRTqH6jB37lz8+eefMDc3x6VLl2Bqaiq2trdt24ZJkyZBV1cXhoaGrNAlHA4HiYmJIh9j+fLlWLt2LVxcXPhO25s6dSpr3c/PDx8+fMCBAwfQsGFDJCcnMyGAHBwcEBQUxKov6WtWVbLV3Nxc7N+/H9u3b0dcXByKioqwbt06+Pj4sGysj7x79w4PHjwAADRv3hx6enpStujHwcfHp9Lt27dvl5AldZ8BAwbAycmpwqS0wcHBuHjxYr1LiFjTfQQZMsTFp0+fsHHjRiQlJSEnJwft27fH5MmTYWRkxLd+VlYWHj9+DACwsrLiCT0pKeLi4rBjxw7s27cP5ubmGDduHH7++Wep2SOj9mBhYYH//vuP5x1HhgxxI3NOC0nZ2IWFhYUIDw9H48aN+caGDAkJkZaZPwzv3r3DsGHDEBMTA1VVVSaWYSlZWVmsdScnJ9ja2vJcm8mTJyM5ORmXL1+ucZslhZycHF6/fs3E91VXV8fNmzcrzAwtLy+PqVOnYtKkSWjatClTLm7ntIqKClJTU2FmZsZyTj969AitW7fG169fefYR1rFoaGiIixcvwtraGjY2Nli1ahUGDBiApKQk2NvbIycnR6RzsLa2xoQJE3heDtetW4dt27bh/v37rPIf2SFUU8TExKBFixY8gxQFBQW4fv06HBwcWOWOjo6YPn063xji4qBdu3Zo06YNtm7dymRMLigowPjx45GUlIRbt27h6tWr+Pnnn2vEiZySkgJbW1uxt8uPwYMHs9ZPnjyJNm3awMTEhFUuagw6MzMz/Prrr5gzZ45I7VRGZVm4ORwOnjx5wir79OkTfvrpJyQkJODLly8wNjZGZmYmunbtipMnT/I4tyujomuWkJCAAwcO8I2XX9FnGhMTg7CwMBw6dAjGxsYYPHgwhgwZgo4dO1Z4/AcPHiAsLAw7d+5EdnY2evfujWPHjglsf10hNzcX/v7+iIyMZOIkysnJMf00fvFBhSUtLQ07duxAWloaNmzYAH19ffz3339o3LgxWrZsKXL7dZ1Bgwax1gsKCpCSkoLs7Gw4OzvXy3iVNYWZmVml+TZSU1PRp08fpKenS9gyGTJk1GW4XC4aN26MMWPGoEOHDhXWK5trRMaPQUREBE6dOoXt27eLJedLXeHy5cv4559/8OTJE/z7778wMTHBzp07YWFhge7du0vbvHqJLKq9kNy6dYu1XnrzTktLAwDo6upCV1cXd+/elbhtPyIjRozAq1evsHLlShgYGFSZFGz58uXo1asXkpKSmIRR58+fR3x8PM6cOSMJkyUKl8tl/V/qNOPHlStXEBYWhg4dOrBUvuKmOskNO3XqhFu3bgnsnO7SpQuuXLkCa2tr9O3bFzNnzsSdO3cYJbmoPHnyBB4eHjzlAwYMwO+//85TrqamBh8fH/j4+DAOoVWrVmHu3Ln11iFUHYqKinDkyBHGuW9jY4OBAwfyTcDi6OgIAwMDHDlyhHVNs7Ky4OTkxKMY/fXXXzFz5ky8fPmSr0K2devWItm+adMmDBgwAI0aNWLaunPnDoqKivC///0PQMn35tdffxXpOGWpSiVbU2hpabHWR4wYUSPH+fjxI4YOHVojbZci7ECBlpYWzp49i6tXr7JUUYImIavqmu3btw/e3t5wdXXFmTNn0KdPHzx8+BBv3rzhcfCJmmy1efPmWLNmDQIDA3H8+PF6q16dMWMGoqOjcfz4cWamy5UrVzB16lTMnDkTmzdvFqn96OhouLu7w97eHjExMVixYgX09fWRlJSEsLAwHDx4UBynUafhp+ItLi7GpEmT0KRJEylYVHd58+YNjxCjLPLy8nj37p0ELZIcwvQRZMiQFMnJyQLXFbWvWdOkp6dj2bJlFW7ncDgS62vKqD0MGzYMe/fuhb6+PszNzXmeQeKYyVjbOHToEEaPHo1Ro0YhMTER+fn5AEpEKitXrsTJkyelbGE9RapBRWTIEBEVFRW6ffu2UPvcunWLRo4cSTY2NtShQwcaN24c39jhdR0Oh0MNGjRgEjFxOBzS0tKqMkFTTk4OhYWFkb29PSkoKBCXy6WgoCCepFvVRdjkhkRE+/fvJ0tLSwoJCaFr165RUlISaylPWloaU56Tk0MTJ06kVq1a0eDBg5kEjKLQpEkT2rJlC0/55s2bycrKSqA2CgsL6ciRI+Th4SGyPfWBlJQUsrS0JFVVVWrXrh21a9eO1NTUyNzcnBU7txQOh0PTp08nVVVV2rFjB1OemZlJHA6Hb31+carFmdji8+fPtHnzZgoICKCAgADasmWL2H43ZanJZKW1CR8fH9q8ebO0zRALgl6zVq1a0caNG4no/2JaFxcX0/jx45k4+kT1I9mqpNDR0WESd5blwoULpKurK3L7Xbp0YWLhlo1DHhsbSyYmJiK3X59JTU0lQ0NDaZtRp7C0tKQjR45UuP3QoUNkYWEhOYMkhLB9BBkyJEXZ/mRliyyJmoy6ytChQ0lXV5d++eUXWrRoES1evJi11Efatm1LERERRMTu2yUmJpKBgYE0TavXyMJ6yKjTtG/fHn///bdY1LD1jYiICIHqjRkzpsJtNTXte/fu3Vi8eDEz48DY2BhLliyBr68v3/plFeClcDgcEJFURvE3b96M6dOnw8fHB926dQNQEnM6PDwcGzZswMSJEyVqT21l586d2LJlC54+fYrr16/DzMwMQUFBsLCwwMCBA1l1u3btCj09PURERDCxIz9+/IixY8fi3bt3uHbtGqu+nJwcMjIycOXKFXh7e2PChAlYu3Yt3r59C2NjY57vxPPnzyu1taZiUYsLfirZLVu21MnY5YISGBiIdevWoV+/fmjVqhWPUqN8POjqIGgs3OvXr+PDhw/o378/sy0yMhKLFi1Cbm4uPD09ERISAiUlJWZ7da6Zmpoa7t69C3Nzc+jo6ODSpUto1aoV7t+/D2dnZ2RkZACQXBim+oCqqipu3rzJMzPn7t276NSpE3Jzc0VqX11dHXfu3IGFhQUrVNWzZ8/QokULfPv2TaT26zMnT57EmDFj6q3Stybw9/fHpUuXEB8fD2VlZda2r1+/olOnTnByckJwcLCULKwZhO0jyJAhKarqX5altvc1Zcjgh5qaGk6fPv1DhbJQVVXFvXv3YG5uzurbPXnyBDY2NrK+XQ0hmwclAk5OTpWGkbhw4YIErfkxWbVqFWbOnIkVK1bwdV5oamri8+fP0NTUBAB8/vy50vZK69UHKnM6C4q4p32XTW44atQogZIbAsJPva9pJk2aBENDQ6xduxYHDhwAUBKHev/+/TxO1x+VzZs3Y+HChZg+fTpWrFjBOIsbNGiAoKAgns/p9u3bSEhIYCU10tbWxooVK/jGzS0dVx08eDDj7L537x42bNjA156aeCE4duwY3N3doaCgUOWgjSgx+somKw0KCmKSlW7ZsqXabdYFtm7dCnV1dURHRyM6Opq1jcPhiMU5/fHjR9Z6+Vi4pSxduhSOjo6Mc/rOnTvw9fXF2LFjYW1tjT///BPGxsZYvHgxgOpfM21tbXz58gUAYGJigpSUFLRq1QrZ2dmsRJqSCsNUH+jatSsWLVqEyMhIxpn39etXLFmyBF27dhW5/QYNGiAjI4MnfvmtW7d44rD/qJTN1wKU3L8zMjJw4sQJsfRVfiT++OMPHD58GM2aNcOUKVOYPCKpqanYtGkTioqKMH/+fClbKX6E7SPIkCEp6pvD+cOHD9DR0QEAvHjxAtu2bcPXr1/h4eHBk89Fxo+BqalpvfKRCIKhoSEeP34Mc3NzVvmVK1dgaWkpHaN+AGTKaREonwytoKAAt2/fRkpKCsaMGVOhk0SG+ChV1JYfJCirqC1VWOrr64PL5fIdUJCWAvdHRNjkhsIg6MOifJIzGYIhjBLaxsYGK1euhKenJ2vEOSUlBY6Ojnj//j2rfps2bbB+/XqWQxAoGeSbNm0a7ty5wyrncrnIzMxkBjYyMzPh6emJly9fIiMjg+e3HBkZWem5eXt7C/VZlLeBn7q/FFHvLTKVrGQpGwv3t99+AwAYGRnh+PHjsLOzAwDMnz8f0dHRuHLlCgDg33//xaJFi3Dv3j0A1b9mI0eOhJ2dHWbMmIFly5YhJCQEAwcOxNmzZ9G+fXuexHGyZKtVk5KSAldXV+Tn56NNmzYAgKSkJCgrK+P06dMiJyycNWsWYmNj8e+//6JZs2ZITEzEmzdv4O3tDW9vbyxatEgcp1GncXJyYq1zuVzo6enB2dkZPj4+spjBQvL8+XNMmjQJp0+fZgZqORwOXF1dsWnTpkoTvdZVhO0jyJAhDSoSKnA4HCgrK8PKyqrW/j7v3LkDDw8PvHjxAk2bNsW+ffvg5uaG3NxccLlc5Obm4uDBgzWWWFxG7eXEiRMICQnBli1beJy19ZXAwEDs2rUL27dvR+/evXHy5Ek8f/4cAQEBWLBgAfz9/aVtYr1E5pyuARYvXoycnBz89ddf0jal3lNeTVeenj17Ijo6Gvb29pCXlxeovoyaxdHREdOnTxeqcyOoY5HL5cLMzAwjR46sVI09bdo0gY8to4TySuiUlBRYWloiPDwcERERuHjxIqu+iooKUlNTYWZmxnJOP3r0CK1bt8bXr19ZMxmuXLmC3377DYsXL2bC9Ny4cQNLly7FqlWr0LdvX1b748aNQ3BwMMsBl5+fjwkTJiAmJoZHbV9WbQWUDCbm5eVBUVERqqqqyMrKEsvnVBPcuHEDYWFh2L9/P0sla2RkJHNO1xAPHjyAo6MjE0ZDWVkZjx49gqmpKQCge/fucHd3ZxSKz549Q6tWrRjVc3WvWVZWFr59+wZjY2MUFxdjzZo1uHbtGpo2bYo//viD53tc3uaaCMNUH8jLy8Pu3buRmpoKoGSmy6hRo8SSdf779++YPHkywsPDUVRUBHl5eRQVFWHkyJEIDw+HnJycyMeQIYMfHz9+xOPHj0FEaNq0aaX3h7qIKH0EGTKkQakIqrx7pWwowu7duyMqKqrW/V7d3d0hLy+PuXPnYufOnfjf//4HV1dXbNu2DUBJSKGbN2/ixo0bUrZUhqTR1tZGXl4eCgsLoaqqyjNTvTa/Q1UXIsLKlSsRGBjIzFxUUlLCrFmzKk0aKkM0ZM7pGuDx48fo1KlTvfyh1iVSUlJga2vLKktPT4epqSlfpfWLFy/QuHFjSZr4Q3LgwAHMmzcPAQEB6NChA9TU1Fjb+WWyFtSx+O+//2L79u24dOkS3N3d4ePjg759+1aqapUhGMIqoW1sbBAYGIiBAwey6oeEhGDHjh1ITEzkmclQVgFWfl0Y5TG/3z4/Hj16hEmTJmH27NlwdXUVuH1p8SOoZEsVw2pqajyhAMqzbt26GrOjfCxcMzMz7Ny5Ew4ODvj+/TsaNGiA48ePw8XFBUCJ4qhnz548z31Br5mDgwOOHTuGBg0aAChRX/Xu3btaztOioiImDJPMOS050tPTkZKSgpycHLRr146lmJdRwrt37/DgwQMAJWHD9PT0pGyRjNpMTfURZMioKc6fP4/58+djxYoV6NSpEwAgLi4OCxYswB9//AEtLS1MnDgRnTt3RlhYmJStZaOrq4sLFy6gdevWyMnJgaamJuLj49GhQwcAJaGDunTpguzsbOkaKkPiVJXHqj6G5yooKICCggK+f/+Ox48fIycnBzY2NlBXV8f79++hq6srbRPrJTLndA2wc+dOzJkzB69fv5a2KT8cX758wd69exEaGoqbN2/ydFbLhvgoy4cPH6Cvry/r3EoAcSU3rMyx+OrVK4SHhyM8PBx5eXkYPXo0fH19Zc4CERBECV2W0NBQLF68GGvXroWvry9CQ0ORlpaGwMBAhIaGwsvLq8qZDGWpalZD6W8/LCwMCQkJAn+PEhIS8PPPPzOKyupQXFyM8PBwHD58GM+ePQOHw4GFhQV++uknjB49utLcBNWltqhkhQn1IghOTk44cuQIGjRowBMKoCwcDkcseR2qioW7ceNGACVx5pOSkrB69WpERUUhIiICr1+/hqKiIoCSJK9BQUGIj4+v8FiVXbPyYWo0NTVx+/ZtWVy7aiLMb0GUePAyBCM3Nxf+/v6IjIxEcXExgJL+mLe3N0JCQqCqqiplC2XURsTZR5AhQxLY2tpi69atTLL0Uq5evYoJEybg7t27OHfuHHx8fJCeni4lK/lTvh9Stq8PAG/evOGbcFyGjPrIkCFDcPDgQZ53uDdv3sDFxQUpKSlSsqyeQzKqzaBBg1iLp6cnde7cmeTk5Gjx4sXSNu+HIjo6mry9vUlNTY2aNm1Kc+bMobi4OJ56HA6H3r59y1P+7NkzUlVVlYSpPzzPnj2rdBGG+Ph4at68eaV1Ll26RI6OjsTlcikrK0sU039orK2tKSoqioiI1NXVKS0tjYiIgoODqV27dnz32bVrF1lZWRGHwyEOh0MmJiYUGhoqVrsE/e1XxK1bt0hDQ6Paxy8uLqZ+/foRh8Ohtm3bkpeXFw0fPpxat25NHA6HBg4cWO22BaGwsJCOHDlCHh4eNXocfvz999+kq6tLy5cvJxUVFeY7sWPHDnJ0dJS4PdXB0dGRtTg7O9Pw4cPpn3/+oYKCAqbeu3fvqEePHsThcEhDQ4MOHz7MasfZ2Zl+//13gY7J75pxOBx68+YNs172NyZDeErvOVUtXC5XpOPk5OTQggULqGXLlqSmpkbq6urUqlUrWrJkCeXm5orpbOo+EyZMIEtLSzp58iR9+vSJPn36RCdOnKAmTZrQL7/8Im3zZMiQIUMsKCsr0507d3jKk5OTSVlZmYhK3oNUVFQkbVqVlH9HVldXpydPnjDrmZmZIj8zZdRdHj9+TPPnzycvLy+mv3ry5ElKSUmRsmU1g52dHfn4+LDKXr9+TS1atKAhQ4ZIyar6j0w5LQLjxo1jrZdN8NKnTx8pWfXjkJmZifDwcPy/9u49Luf7/x/447pKdHAI6eBDakLNKabZGlIIWzTbjIWSjTVnm2H7fAzbaD4i1ByvlEayLObjfFrJqeUQIUJsDiVLUpEOr98ffl1fl0KH67redfW4327dbq7X+937/ej89ny/3s+XQqFAdnY2hg4dipUrV5bZz7NkdtzSpUvx2WefqczSKSoqwokTJ6Cnp4cjR45o9WPQtJSUFJw9exZdunSBjY0NduzYgZ9++gmPHj2Cp6cnvvnmG43M6tSWM2fOoGfPnip9CUs8fvwYUVFRCAkJwfHjxzFo0CCEhYWhbt26ajv/kydPkJqaitdee03nF3Qqz0zoEoWFhdi4cSPc3d1hbm6OvLw85OTkvLQPeIm8vDz89ddfePLkicr4s+1eKvKzX+L5mZTi/8+QDQoKQosWLbBr166KfDqU1q1bh8mTJ2Pbtm2lZvoePHgQnp6eCAoKqtSCi9VdRVu96IIHDx7AxMSkVB/hzMxMmJiYKGdSV9SrZixR9fPkyRO8/fbbSEpKwoABA9CuXTsIIXDx4kXs3r0bXbp0QWxsbKnejLVR06ZNERUVBRcXF5XxQ4cOYejQocr2OUSvUp5rBCKpvPPOO6hfvz7Wr1+vbFuUkZGBUaNGITc3F7Gxsdi/fz/Gjx+vbHFUXcjlcgwYMED5/6Tt27fD1dVV2X4xPz8fu3fv5szpWigmJgYDBgyAs7MzYmNjcfHiRdja2sLf3x8JCQmIioqSOqLaZWRkoGfPnhgwYAAWL16M27dvo3fv3ujUqRM2bdrElqEaotvVFA1bt26d1BFqLQ8PD8TGxuLdd99FYGAg+vfvDz09PaxcubLM/U+fPg3gaUHq3LlzKgUEAwMDdOrUCV999ZVWsmtLdHQ0hg4dquzZt3r1aowbNw4uLi5o0KAB5syZA319fcyYMUOrucq7uOGzXlZYdHZ2Vtl24sQJKBQKbN68Gba2tvD19cWWLVvUuvBIXl4eJk6cqOzBdfnyZdja2mLixIlo3rw5Zs6cqbZzVReffvopDA0N8e9//xt5eXn45JNPYGVlhaVLl6oUpgFAX18fn3/+OS5evAgAMDIyeuVj2xkZGRg9evQLi8QlF8MV/dkv8fwCnDKZTHkzMSAg4KXv+zIRERH45ptvymxB4erqipkzZ2LDhg06WZxOTU2Fo6NjqfG6desiNze3ysfPzc2Fv78/Dhw4gLt37yrbAZS4du1alc9Rory9cBs2bFjmeOPGjaucYc+ePcrjFxcX48CBA6UeG2QLiupjxYoVuHnzJhITE9G2bVuVbcnJyXBxccHKlSu5ojue/s00NzcvNd6sWTPlQkNEL1PeawQiKSkUCgwePBj/+te/lAso//3337C1tcW2bdsAADk5Ofj3v/8tZcwyPd83eMSIEaX20cVrWXq1mTNn4ocffsC0adNU1ktxdXVVtr/TNWZmZti7dy/eeecdAMD//vc/dOnSBRs2bGBhWpOknLZNVFl6enpi6tSp4vLlyyrj+vr64vz58y98Px8fH/HgwQNNx6sWunbtKr755htRXFwsQkJChKGhoViyZIly+6pVq0S7du20nqtRo0Yqb8bGxkImk4m6desKU1PTMt+nrEexzc3NxfDhw8Xt27eV+zk4OIimTZuKSZMmiTNnzmjsY5g0aZLo2rWrOHz4sDA2NlY+fr9161bRuXNnjZ1XKgUFBSIsLEykpaUJIYTIzc1VaUFQll69eono6Ohyn+OTTz4Rzs7O4s8//xTGxsZi7969Ijw8XLRt21b873//U+5X2Z99TTE3NxenT59+4fZTp04Jc3Nz7QXSosq0eqmIYcOGCUtLS/H111+LJUuWiMDAQJU3dcjJyRGjR48Wenp6yt8v+vr6wtfXV6ttGbTRgqK2OXDggLC3ty/zb35WVpZwcHAQMTExlT5+z549RVBQ0Au3L1u2TPTs2bPSx9clrq6u4qOPPhKPHj1SjuXl5YmPPvpIuLm5SZiMaoryXiMQSa2oqEjs2rVLLF26VCxdulTs3r1bFBUVSR2LqNKMjY2VLV6evd5PTU0VdevWlTKaxl26dEk0a9ZMeHl5ieLiYqnj6DwWpyuhUaNGwtTU9JVvpDnHjh0Tn376qahfv75wcnISy5cvFxkZGa8sUIWEhIi8vDwtJpWOiYmJuHLlihDi6YWSnp6eSh+01NTUatPz7PLly8LNzU3s3r27SseRyWTCxMTklT+jVdWyZUtx7NgxIYTqH+mUlJQq9S+uzgwNDSvUEzwyMlLY2tqK5cuXi6NHj4rExESVt+dZWFiIEydOCCGEqF+/vrh06ZIQQoht27YJZ2dn5X6V/dmPiYkps6D+5MmTKhWo6tSpo3KD5Hm3bt0SBgYGlT5+dbZmzRrRvHlzsWnTJmFsbCwiIiLEDz/8oPx3VTVs2FDExcWpIemLsReu7vLw8BCLFy9+4falS5cKT0/PSh+/adOmL+21eO7cOdG0adNKH1+XnDt3TlhZWYkmTZoIV1dX4erqKpo0aSKaN2+us/0qSb3Ke41ARETq1bx5c3HkyBEhhOr/e3/77Tdha2srZTS1elH9oG7duqJBgwas82kB23pUQmBgoPLfQgj4+flh3rx55eqnSurRvXt3dO/eHYGBgYiMjERISAimTZuG4uJi7Nu3Dy1atFB57KTEzJkzMXnyZHz00UcYM2ZMqdWUdUlubq7ycyCXy2FoaKjSWsHQ0BD5+flSxVNhZ2cHf39/jBgxAsnJyaW2x8bGol27dqV+xgoKCnDs2DH07NkTgPZa7WRkZJT5856bm1uje3i/jJOTE06fPg1ra+ty7V/S6mPSpEnKMZlMBiEEZDJZqUdwc3NzlZ9TU1NTZGRkoE2bNujQoQNOnTql3K+yP/suLi4wNzdHdHQ0unfvrhzPzMxE7969K/1IcFFR0Uv7jevp6aGwsLBSx67uKtLqpTJMTU3V0i7jZbZs2VKqF+7AgQNhaGiIoUOHYsWKFRo9P2lOYmIifvrppxdu79evHxYtWlTp42dlZaFJkyYv3N6kSRM8ePCg0sfXJe3bt0dKSgo2bNig/Bs/fPhweHl5wdDQUOJ0VBOU9xqBSGoxMTFYtGiRsrWdg4MDpk+fjh49ekic7OWGDBlSrv1+++03DSeh6mbYsGGYMWMGfv31V8hkMhQXF+PIkSP46quvdKrVy7M1PpIGi9OV8HxPpokTJ+KDDz7gwkUSMDY2hq+vL3x9fXHp0iUoFAr4+/tj5syZ6Nu3b6lexbdu3cL27dsRGhoKFxcX2NraYvTo0fD29oaFhYVEH4VmyGQylULp86+rG319fdy+fbvMbeUtLD7/s6kpb7zxBnbs2KHsJVryeV27di3eeustrWTQti+++AJffvklbt68ia5duyoXSCnx/GJEqampFTp+27ZtcenSJbRq1QqdOnXCqlWr0KpVK6xcuRKWlpal9q/ozz7w9OLKzc0NwcHB8PHxUY6LKqwLLISAj4/PCxfarC43gNTt2UUvvby8KrToZXl9//33mD17NsLCwl7Zs7yy2AtXd6Wnp790MUJ9ff0qLcRXXFxcamHMZ8nlcvbBfYaRkRE+++wzqWNQDVXRawQiKfzyyy8YPXo0hgwZopycERcXBzc3N4SGhuKTTz6ROOGLvWhNDaL58+dj/PjxaNGiBYqKiuDg4ICioiJ88skn1bJ/emVpq45ALyYTVflfOQEA6tevj8TERBanq4mioiJs374dISEhZRaoSqSnp+OXX35BWFgYkpOT0b9/f4wZMwYeHh460eheLpejYcOGysJpVlYWGjRooPzYhBDIzs7W+n+eX7a4YYsWLcpc7EYul2Py5MlYvXq1SmExPT0dlpaWpRZK07S4uDgMGDAAI0aMQGhoKMaNG4cLFy7g6NGjiImJQdeuXbWaRxvK+pl42Uzoivrll19QWFgIHx8fnDx5Ev3790dmZiYMDAwQGhqKjz/++JXHeNnPvp6eHu7cuYO4uDiMGjUKY8eORUBAAO7evQsrK6tK5x89enS59tPFBXSNjIxw8eLFcs+mLw9HR0eVm2hXrlyBEAKtWrUqVWhUx2w5Nzc3NGnSBOvXr0e9evUAAI8ePYK3tzcyMzOxf//+Uu8THh6OlStXIjU1FceOHYO1tTUCAwNhY2ODwYMHVzkTqcdrr72GgICAUouhlvjtt9/w1VdfVXphTblcjvbt27/wyYnCwkKcP3++1haoX3b99Twu9Emvoo5rBCJNs7e3x9ixYzF16lSV8cWLF2PNmjXK2dRENYUQAn///TfMzMxw7949nDt3Djk5OXB0dISdnZ3U8bTi8ePHePLkicpYgwYNJEqj21icVgMWp2uuEydOICQkBGFhYbC0tMT9+/dhamqKdevWqTzmXROFhYWVaz9t3yV8vsgpk8lgZmYGV1dXBAQElDkDRlOFxaq4evUq/P39kZiYiJycHHTp0gUzZsxAhw4dtJ5FG27cuPHS7c8XKNevX//S/V/1GFheXh6Sk5PRsmVLNG3atHwhX0IulyMtLQ3NmjXD6dOnMXjwYDg4OGDp0qXKGQBUMS4uLpgyZcoLi3+VMXfu3HLv+91331X5fElJSXB3d0d+fj46deoE4Gk7iHr16mHPnj14/fXXVfZfsWIFZs+ejSlTpuDHH39EUlISbG1tERoairCwMBw6dKjKmUg9Jk6ciD/++AN//vmn8sZDiUePHsHJyQm9e/fGsmXLKnX88n6vquP7tCYq701+ddzcpNpH3dcIROpQt25dnD9/Hq1bt1YZv3LlCtq3b4/Hjx9LlIyocoqLi1GvXj2cP3++1hSjgaetpGbMmIHNmzfjn3/+KbWd1y2aweK0GrA4XbOkp6cjPDwc69atw7Vr1+Dp6YkxY8agT58+yM3Nxbx587Bp06ZXFuNIe1hYrHlMTU1VXhcUFCAvLw8GBgYwMjJCZmamyvZ58+bhq6++KtW+4dGjR/jvf/+L2bNnVynPs99DAJCWlgZPT0/cvHkTd+7c4fdQJWzevBmzZs3C1KlTy9XqpbrKy8tT6YVrb2//wl64Dg4OmD9/Pjw9PVX+9iclJcHFxQX37t3Tdnx6gfT0dHTp0gV6enqYMGEC2rZtCwBITk5GcHAwioqKcOrUqTLbuhBR9aLpawQidWjdujWmT5+OcePGqYyvXLkSAQEBSElJkSgZUeW9/vrrUCgUKq01dd348eNx6NAhfP/99xg5ciSCg4Nx69YtrFq1Cv7+/vDy8pI6ok5icboSpk2bpvI6ODgYI0aMKNWrafHixdqMReXg4eGBPXv2oE2bNvj0008xatSoUgtu3b17FxYWFlpvFaEpQgicPHkS169fh0wmg42NTalH57WpvIsbPqu6FRZ37twJPT09uLu7q4zv2bMHxcXFGDBggFbzaENVZ0IDQEpKCvz8/DB9+vRSn7uS2fHPf1/8888/aNasWZW/xqNHj8ayZctUFkvMz8/H2LFjERsbW+Ee2aT5Vi9//vkniouL8eabb6qMnzhxAnp6enjjjTeqdPzKMDQ0RHJyMqytrVWK0ykpKejYsSMePXpU5XNkZWUhKioKV69exfTp09G4cWNlEbV58+Zq+Chqjxs3bsDPzw979uxR9paXyWRwd3dHcHAwbGxsJE5IROWh6WsEInVYsWIFpkyZAl9fX7z99tsAgCNHjiA0NBRLly4tVbQmqgm2b9+OhQsXYsWKFWjfvr3UcbSiZcuWWL9+PVxcXNCgQQOcOnUKrVu3Rnh4OCIiIrBz506pI+okLohYCadPn1Z5/fbbb5fqWVidF56rzZo1a4aYmJiXLlpnZmamM4WqQ4cOYcyYMbhx44bKf8xtbGwQEhJSZiFY08q7uOGzvL29VWYxWlhYICYmRllY1LaZM2fC39+/1LgQAjNnztTJ4vTkyZNVXj8/E7o8xWk7Ozv4+/tjxIgRylmqJUoKms9LTEwsdQOpMsrq+Vy3bl2EhYUhKSmpysevjTT9e3L8+PH4+uuvSxWnb926hZ9++gknTpyo8jnCwsLQtGlTvPvuuwCAr7/+GqtXr4aDgwMiIiJKtauxsbHBmTNnSo3v3r0b9vb2Vc5z9uxZ9OnTBw0bNsT169fx2WefoXHjxvjtt9/w119/vfImEamytrbGzp07cf/+fWX/cjs7u1JPdpBmHDx4EBMmTMDx48dL9Wd88OAB3n77baxYsUKSaxGqWTR9jUCkDn5+frCwsEBAQAA2b94M4OnTWJGRkVyTgmqsUaNGIS8vD506dYKBgUGpJwuffxpWF2RmZiq7IjRo0ED5Mb7zzjvw8/OTMppOY3G6EthTsuZSKBSv3Ecmk6l1gS+pXLlyBe+99x7efPNNLFmyBO3atYMQAhcuXMCyZcswcOBAnD17VpJ2NMOGDYObm5vK4oYA8KIHOcpbWHz+qYYXqepTDSkpKXBwcCg13q5dO1y5cqVKx66u7t+/X2rs2ZnQ5aWvr4/bt28rX5uamkImk0Emk6FNmzYq//ksKipCTk4OPv/886qFL8PDhw8REREBhUKBhIQEzrqqBE3/nrxw4QK6dOlSatzR0REXLlxQyznmz5+PFStWAACOHTuGoKAgBAYG4n//+x+mTp2K3377TWX/adOmYfz48Xj8+DGEEIiPj0dERAQWLFiAtWvXVjnPtGnT4OPjg4ULF6rM8h84cCA++eSTKh+/tjI1NUW3bt2kjlHrBAYG4rPPPitz4aCGDRti3LhxWLJkCYvT9EJSXSMQVdb777+P999/X+oYRGoTGBgodQSts7W1RWpqKlq2bIl27dph8+bNcHJywvbt29GoUSOp4+ksFqdJ51VksaNJkyZpMIl2BQYGonv37jhw4IDKeLt27fD++++jT58+WLJkCZYvX67VXDKZDLNmzUKPHj0watQonD17FgEBAcpt5fGiwuLzTzW86PxV1bBhQ1y7dg2tWrVSGb9y5Uqpvru67GUzoX///XeV10II3LlzB0FBQXB2dlaOBwYGQggBX19fzJ07V6U9koGBAVq1avXSJx0qKjY2FgqFAlu2bIGVlRWGDBmCoKAgtR2/NlFHq5eXqVu3LtLT00vdQLtz5w709dVz+fL3338rFy7aunUrPvzwQ4wdOxbOzs5lLor76aefwtDQEP/+97+Rl5eHTz75BFZWVli6dCmGDRtW5Tx//vknVq1aVWq8efPmSEtLq/LxibQpMTERP/300wu39+vXD4sWLdJiIqpptH2NQKQOJ0+exMWLFwE87dfr6OgocSKiyvP29pY6gtaNHj0aiYmJ6NWrF2bOnAkPDw8EBQWhoKCArXs1iMVp0nlLliwp134ymUynitN//PEHFixYUOY2mUyGKVOmYNasWVpO9X+zo4cMGQIbGxsMHjwYFy5cwNKlS1/5vq8qLGrrqYbBgwdjypQpiI6OxmuvvQbgaWH6yy+/xKBBg7SSobp4fiZ0CU9PT5XXMpkMZmZmcHV1Vd6MAP7vgsfGxgZvv/026tSpo/aMaWlpCA0NhUKhQHZ2NoYOHYr8/Hxs3bq1zBnwlRUeHo6VK1ciNTUVx44dg7W1NQIDA5Xf57pGHa1eXqZfv36YNWsWtm3bpixIZGVl4ZtvvkHfvn2rdOwSJiYm+Oeff9CyZUvs3btX+fRFvXr1SvWPLiwsxMaNG+Hu7g4vLy/k5eUhJyenVA/Uqqhbty6ys7NLjV++fBlmZmZqOw+RNqSnp7/0d7q+vj4yMjK0mIhqGm1cIxCpy927dzFs2DD88ccfytmVWVlZ6N27NzZt2sS/41RjFRUVITo6WnnTxcHBAYMHD1bbZJHqZurUqcp/9+nTB8nJyTh58iRat25dYxZ8r4l087uJ6Bm60j+6ov766y906NDhhdvbt2+PGzduaDFRaY6OjoiPj4enpyfc3NzK3KeihcXs7GycOHECT548gZOTk0YuBBcuXIj+/fujXbt2+Ne//gUAuHnzJnr06KGzs8DKOxO6REUXFO3Vq5fy348fP8aTJ09Utpf1WHh5eHh4IDY2Fu+++y4CAwPRv39/6OnpYeXKlZU63ousWLECs2fPxpQpU/Djjz8qZ/M3atQIgYGBOlmcVlerlxdZtGgRevbsCWtra+WsozNnzsDc3Bzh4eFVPj4A9O3bF59++ikcHR1x+fJlDBw4EABw/vz5Uk9G6Ovr4/PPP1demBsZGcHIyEgtOUoMGjQI8+bNU/aqlMlk+OuvvzBjxgx88MEHaj0XVV5tfSKropo3b46kpCTl0wnPO3v2LCwtLbWcimoiTV0jEKnTxIkT8fDhQ5w/f165DsWFCxfg7e2NSZMmISIiQuKERBV3/vx5DBo0CGlpaWjbti0A4KeffoKZmRm2b99eKxZJtLa21om2r9WdTLyoySsR1WhyuRxpaWkvnNWXnp4OKysrrffaHT16NJYtW6bSTzU/P1+5uOGzNxOeLSx6eXkpC4t16tRBYmJiqeL0mTNnMHDgQOXj7/Xr18fmzZvh7u6u9o9DCIF9+/YhMTERhoaG6Nixo073zZTL5Sqvn58J/XyBITY2Fu3atSv1/VdQUIBjx46V+lzl5eXh66+/xubNm/HPP/+UOn9lv0/19fUxadIk+Pn5wc7OTjn+ou+hynJwcMD8+fPh6emJ+vXrIzExEba2tkhKSoKLiwvu3bunlvPUBAkJCWW2eqmM3NxcbNiwQeXnbPjw4WqbPZeVlYV///vf+Pvvv+Hn54f+/fsDAL777jsYGBjg22+/VdnfxcUFU6ZMKfVkgLo8ePAAH374IRISEvDw4UNYWVkhLS0Nb731Fnbu3Fmr2gZVZzY2NiqvMzIykJeXpzJTzsjICM2aNSu1YHZtMnHiRPzxxx/4888/Ua9ePZVtjx49gpOTE3r37l2hYj/VTpq6RiBSp4YNG2L//v2l1jiIj49Hv379kJWVJU0woip46623YGZmhrCwMOWC0vfv34ePjw8yMjJw9OhRiROqT3kXHq/q06FUNhanqda5efMmfv/9d/z111+lZl7oUg8huVyOgwcPvnAV83v37qFv377V6oI+KSlJ5e5rRQuL7u7uyMnJwaJFi1CvXj18//33OHfuHFJSUrT2MdBTcrkc5ubmiI6ORvfu3ZXjL7opMn78eBw6dAjff/89Ro4cieDgYNy6dQurVq2Cv78/vLy8KpXj+PHjUCgUiIyMhL29PUaOHIlhw4bB0tJSrcVpQ0NDJCcnw9raWqU4nZKSgo4dO5ZqEaHLzpw5g549e5bZnqKm27x5M2bNmoWpU6eia9eupYrF6nrU78iRI0hMTEROTg66dOmCPn36qOW4pH4bN27Ezz//DIVCoZxRdOnSJXz22WcYN25cpX936YL09HR06dIFenp6mDBhgvLzk5ycjODgYBQVFeHUqVMwNzeXOClVd5q6RiBSp/r16+Pw4cPo3Lmzyvjp06fRq1cvnbwuIt1naGiIhIQEvP766yrjSUlJ6Natm079H0cul8PExAT6+vp4UZlUJpMhMzNTy8lqBxanK+Hs2bPl2o/9aKqfAwcOYNCgQbC1tUVycjLat2+P69evQwiBLl264ODBg1JHVBu5XA6ZTFbmL9aScZlMJnlx+kWLGwIVLyw2bdoUe/fuRZcuXQA8nb3WuHFjZGVlVfmRz2XLlmHs2LGoV6/eK2d56eJj3BWdCS2XyzF58mSsXr0awcHB8PHxAfC0WGFpaVmq7UfLli2xfv16uLi4oEGDBjh16hRat26N8PBwREREYOfOnVXKn5ubi8jISISEhCA+Ph5FRUVYvHgxfH19VWbxV5aDgwMWLFiAwYMHqxSnly9fjnXr1uHUqVNVPkd187JWLy1atMCuXbvUcp4LFy6UeTNRXf3dDx8+jFWrVuHatWv49ddf0bx5c4SHh8PGxgbvvPOOyr7PP0EAVK/fp6R9r732GqKiokoteHXy5El8+OGHtba1WIkbN27Az88Pe/bsUV6PyGQyuLu7Izg4uNQsdKKyaPoagUgdBg8ejKysLERERMDKygoAcOvWLXh5ecHU1BTR0dESJySquE6dOmHJkiVwdXVVGT948CAmT56Mc+fOSZRM/V5//XWkp6djxIgR8PX1ZT1P2wRVmEwmE3K5XMhkslJvJeNyuVzqmFSGbt26idmzZwshhDAxMRFXr14VDx8+FIMGDRI///yzxOnU6/r16+V6k0pMTIwYNWqUMDY2FnZ2dmLGjBkiPj6+zH1zcnKEQqEQzs7Ook6dOkIul4vAwECRnZ2tsp9MJhPp6ekqYyYmJuLatWtVztuqVStx79495b9f9GZjY1Plc1VHMplMWFhYiGPHjqmMp6Wllfn7Ti6Xi/T0dLFlyxZhbGwspk6dKoqLi1+4v7Gxsbhx44YQQojmzZuLEydOCCGEuHbtmjA2Nlbrx5KcnCymT58uLCwsRL169YSHh0eVj7lmzRrRvHlzsWnTJmFsbCwiIiLEDz/8oPy3Lirr75+5ubkYPny4uH37dpWPf/XqVdGxY8dSf3Plcrna/sZGRUUJQ0ND8emnn4q6deuKq1evCiGEWL58uRgwYECp/TX9+3TixIli6dKlpcaXL18uJk+eXOXjk/oZGhqW+bfrxIkTwtDQUIJE1VNmZqaIj48XJ06cEJmZmVLHoRpGm9cIRJX1119/ic6dO4s6deoIW1tbYWtrK+rUqSMcHR3F33//LXU8okrZsWOHeP3118Wvv/4q/v77b/H333+LX3/9VXTo0EHs2LFDPHjwQPmmC44fPy7Gjh0rGjZsKLp27Sp+/vlnnfnYqjsWpyuhuhf96MVMTEzElStXhBBCNGrUSCQlJQkhhDhz5oywtraWMFntcOfOHbFgwQLRunVr0axZMzFhwgShr68vzp8/X+5jvKywKJPJxKFDh0RiYqLyzdjYWOzYsUNljCpOJpOJKVOmCCMjI7Fu3TrleFpampDJZGXuX3Kj4NSpU6JFixbC3d1dJCcnl1lY7NChg/jjjz+EEEK4ubmJL7/8UgghxNKlS0Xz5s018BEJUVhYKKKjo9VSnBZCiF9++UW0bt1aWURt3ry5WLt2rVqOXRu99957YvDgwSIjI0OYmJiICxcuiMOHDwsnJycRGxurlnN07txZhIWFCSH+74alEE+/Z83NzdVyjoqwsrISCQkJpcZPnjypsZ8Dqpr33ntPODo6ipMnTyrHEhISRJcuXdT2u4WotpPiGoGoMoqLi8XevXvFsmXLxLJly8S+ffukjkRUJc9PRClrwoguTs7My8sTYWFhwsXFRRgZGYlPPvlEPH78WOpYOo1tPTTk+d65VD1YWFjg0KFDsLe3h4ODA/z9/TFo0CAkJibC2dkZOTk5UkfUmLy8vDIfjdfW4yoVXdzwVYqKirB9+3aEhIQo2wtoq5VJXFxcqcf9dZ2enh7u3LmDuLg4jBo1CmPHjkVAQADu3r1bZg/p5xfkTEtLg6enJ27evIk7d+6U2n/JkiXQ09PDpEmTsH//fnh4eEAIgYKCAixevBiTJ0/W2sdaUYWFhdi4cSPc3d1hbm6OvLw85OTkvHAxUl1R0VYvFdW0aVMcPHgQHTt2RMOGDREfH4+2bdvi4MGD+PLLL3H69OkqHR8AjIyMcOHCBbRq1UqlHcu1a9fg4OCAx48fq+z/qoVSqrpASr169ZCUlITWrVurjF+5cgXt27cvlYekl5GRAW9vb+zevVu5UGdhYSHc3d0RGhqq878HiLShJl8jEBHVZDExMeXet1evXhpMIo3Y2Fh89913iI2Nxb1795SLQpL66UsdQJeU9M5du3YtTp48yd6T1VD37t0RFxcHe3t7DBw4EF9++SXOnTuH3377TWXRNl2SkZGB0aNHv7D/q7a+T3ft2lXm4oaVpaenB09PT3h6eirHtNXb09XVFc2bN8fw4cPh5eVVaoEIXVRS8B8yZAhsbGwwePBgXLhwAUuXLi1zf29vbxgaGipfW1hYICYmBmPHjkVsbGyp/adOnar8d58+fZCcnIyTJ0+idevW1b7fl76+Pj7//HNcvHgRwNOCp5GRkcSpNM/FxaXMRS8zMzPRu3fvKv9uKSoqUvYDb9q0KW7fvo22bdvC2toaly5dqtKxS1hYWODKlSto1aqVynhcXBxsbW1L7f98AaSgoAB5eXkwMDCAkZFRlYvTrVu3xu7duzFhwgSV8V27dpWZh6RnZmaGnTt34vLly0hOTgYAtGvXDm3atJE4GZHuqMnXCKT7Hj16hAMHDuC9994DAMyaNQv5+fnK7Xp6evj+++9Rr149qSISVZouFpxf5datWwgLC8O6deuQm5uLESNGYMWKFSxMaxiL02oQGxsLhUKBLVu2wMrKCkOGDEFwcLDUsagMixcvVs6Onjt3LnJychAZGQk7OzssXrxY4nSaMWXKFGRlZeHEiRNwcXFBdHQ00tPT8cMPPyAgIEBrOeLi4qBQKNC1a1eVxQ3Vydra+pX7JCUlVfk8t2/fxqZNmxAREQF/f3907NgRXl5eGD58OP71r39V+fjVnaOjI+Lj4+Hp6Qk3N7cy91m3bl2psbp16yIsLKxcXwNra+tyfT2rCycnJ5w+fbpGZVaHYcOGwc3NTWXRSwAvXOG6Itq3b4/ExETY2NjgzTffxMKFC2FgYIDVq1errVD72WefYfLkyQgJCYFMJsPt27dx7NgxfPXVV/jPf/5Tav/79++XGktJSYGfnx+mT59e5TzTpk3DhAkTkJGRoVx45sCBAwgICEBgYGCVj0+a06ZNGxakibSkpl0jkG4LCwvDjh07lMXpoKAgvP7668pJGsnJybCyslK5yUJUE3Xo0AE7d+5EixYtpI6iEZs3b8a6desQExMDd3d3BAQE4N1334Wenp7U0WoFtvWopLS0NISGhkKhUCA7OxtDhw7FypUrK9WegEiTLC0tsW3bNjg5OaFBgwZISEhAmzZt8Pvvv2PhwoWIi4vTap7c3FxERkYiJCQE8fHxKCoqwuLFi+Hr66ucJalumnyqITU1FRs3bkRERASSk5PRs2dPHDx4UG3Hry5Gjx6NZcuWqXyN8vPzlTOhXzVrveRroFAokJCQoPI1KC4uRmhoKH777Tdcv34dMpkMNjY2+PDDDzFy5EjIZDKNfVzqsnnzZsyaNQtTp05F165dYWxsrLJdF2d2VbTVS0Xt2bMHubm5GDJkCK5cuYL33nsPly9fRpMmTRAZGVlq1fDKEEJg/vz5WLBgAfLy8gA8vYny1Vdf4fvvvy/3cRISEjBixAjlzNmqWLFiBX788Ufcvn0bANCqVSvMmTOnyrOySTN8fX1fuj0kJERLSYh0ky5cI5Bu69GjB77++mt4eHgAgEqbMAD45ZdfEBwcjGPHjkkZk6jKnv/e1jVyuRwtW7aEl5cXzM3NX7jfpEmTtJiq9mBxuhLU3TuXtO/Jkye4e/cuiouLVcZbtmwpUSLNadCgAc6ePYtWrVrB2toaGzduhLOzM1JTU/H6668rCzJSuHTpEhQKBcLDw5GVlYW+ffsq+0erQ1lPNXzwwQfo1q2b2s4BPG0/sGvXLvznP//B2bNna11Ln5f12H/V10AIAQ8PD+zcuROdOnVCu3btIITAxYsXce7cOQwaNAhbt27V4kdTOXK5vNSYOvucV0fP9hU/ffo0Bg8eDAcHByxduhQODg4a+ZgzMzNhamqq9mLEkydPcOXKFeTk5MDBwQEmJiZ49OiRSmualzlz5gx69uyJ7OxstWXKyMiAoaEhTExM1HZMUr/3339f5XVBQQGSkpKQlZUFV1dX/PbbbxIlI6r5dOUagXSbpaUljh07pmwRZmZmhj///FP5+vLly+jWrRsePHggXUgiNdD14nSrVq1e+X8MmUyGa9euaSlR7cK2HpWg7t65pD2XL1/GmDFjcPToUZVxXS4gtW3bFpcuXUKrVq3QqVMnrFq1Cq1atcLKlSthaWkpebaFCxdiwYIFysUNq6qspxry8/OxdetWtd84OnLkCDZs2ICoqCg8fvwYgwcPxoIFC9R6jurqZTOhK/I1CA0NRWxsLA4cOIDevXurbDt48CA8PT2xfv36aj9rVFv9zqur8rR6UYfGjRtr5LgGBgbK7838/HwsXrwYCxcuRFpamsp+z988E0Lgzp07CAoKgrOzs1ozmZmZqfV4pBnR0dGlxoqLi+Hn54fXXntNgkREukNXrhFIt2VlZan0mM7IyFDZXlxcrLKdqKbq0aNHuSdu1ETXr1+XOkKtxpnTlXD8+HEoFApERkaq9M61tLTkzOlqztnZGfr6+pg5cyYsLS1L3Rnr1KmTRMk055dffkFhYSF8fHxw8uRJ9O/fH5mZmTAwMEBoaCg+/vhjqSOqjbaeapg5cyYiIyNx+/Zt9O3bF15eXhg8eHCtWATvVTOhK/o16NevH1xdXTFz5swyzzd//nzExMRgz549Gv/YqGKq2urlRV7VJqFEVW5m5efnY86cOdi3bx8MDAzw9ddfw9PTE+vWrcO3334LPT09TJgwATNmzFB5v+dnyMtkMpiZmcHV1RUBAQGVuuHXpUsXHDhwAKampnB0dHzpjI1Tp05V+PgkjUuXLsHFxQV37tyROgpRjcVrBKoJ7Ozs4O/vjw8++KDM7Zs3b8Y333yDK1euaDkZEVXV48ePuZiplrA4XQVS9M6lqjE2NsbJkyfRrl07qaNIJi8vD8nJyWjZsiWaNm0qdRy10tfXL/OpBnUXp52dneHl5YWhQ4fq3OewLBXpsV/Rr4GFhQV2796Nzp07l3nu06dPY8CAAaVmsFY369evf+n22jar62WtXl5FLpfD2toajo6OL11YsawZq+U1Y8YMrFq1Cn369MHRo0eRkZGB0aNH4/jx4/jmm2/w0UcfaW3xk7lz52L69OkwMjLCnDlzXlqc/u6777SSiapu586d8Pb2LjWDjojKT1euEUi3TZ48Gfv378fJkydLFbEePXqEN954A3369MHSpUslSkhUNSkpKTh06FCZbVFnz54tUSrNKSoqwvz587Fy5Uqkp6fj8uXLsLW1xX/+8x+0atUKY8aMkTqiTmJxWk003TuX1KNbt25YsmQJ3nnnHamjaEVBQQHatWuH//3vf7C3t5c6jsZp46mGgoICjBs3Dv/5z39gY2OjhtTVW0VnQlf0a2BgYIAbN268cMbp7du3YWNjU+0fhzQ1NVV5XVBQgLy8PBgYGMDIyAiZmZkSJdOel7V6qYjx48cjIiIC1tbWGD16NEaMGKH2dh62trYIDAzEoEGDkJSUhI4dO8LHxwcKheKlxeHY2Fi0a9cOzZo1UxkvKCjAsWPH0LNnT7XmpOpv2rRpKq9LWr3s2LED3t7eCAoKkigZUc2nK9cIpNvS09PRuXNnGBgYYMKECWjTpg2Ap/WBoKAgFBYW4vTp0y9dYI2oulqzZg38/PzQtGlTWFhYqFwny2QynXyqb968eQgLC8O8efPw2WefISkpCba2toiMjERgYCAXN9UUQWpVWFgooqOjhYeHh9RRqAwHDhwQb731ljh06JC4d++eePDggcqbLrKyshIXLlyQOoZW5eTkCIVCIZydnUWdOnWEXC4XgYGBIjs7Wy3Hb9Cggbh27ZpajlXd6enpialTp4rLly+rjOvr64vz58+/8P3K+zWQy+Xi7t27LzxOWlqakMvlVfsgJHL58mXh5uYmdu/eLXUUjYqJiRGjRo0SxsbGws7OTsyYMUPEx8dX6ZiPHz8WGzduFH369BFGRkbio48+Ert37xbFxcVqyVynTh1x8+ZN5et69eqJs2fPvvL9ZDKZsLCwEMeOHVMZV9f36ZgxY8ShQ4eqfBzSHhcXF5U3V1dX8fHHH4tVq1aJgoICqeMR1Wi6fI1AuuXatWvC3d1dyOVyIZPJhEwmE3K5XLi7u4urV69KHY+o0lq2bCn8/f2ljqFVr732mti/f78QQggTExPlz/DFixdFo0aNpIym0zhzmmqVkn6hz8+MEzq8IOL8+fNx+fJlrF27Fvr6tW8NVE081eDt7Y3OnTtj6tSpakpZfaljNvrLvgZyuRwDBgxA3bp1y3zf/Px87N69u8b+bCYkJGDEiBFITk6WOopaVaTVS1XduHEDoaGhWL9+PQoLC3H+/HmYmJhU6Zh6enpIS0tTLjpYv359nD179pVPQ8jlckyePBmrV69GcHAwfHx8ADydNWVpaVnqUceKGjx4MPbs2QMzMzMMGzYMI0aM0Mm1EIiIykPXrxFI92RmZip7S7du3VpjCzkTaUuDBg1w5swZ2NraSh1FawwNDZGcnAxra2vUr18fiYmJsLW1xYULF+Dk5IScnBypI+qk2lepolrt0KFDUkfQuj///BMHDhzA3r170aFDBxgbG6ts/+233yRKph1t27bFwoULsWDBAmzfvr1Ki6iVsLOzw7x583DkyBF07dq11Od00qRJVT5HddG9e3d0794dgYGByh7706ZNQ3FxMfbt24cWLVq8ssf+y74G3t7er8xQk/s16+vr4/bt21LHUKtnW70EBgYqW72sXLlSI+eTy+WQyWQQQqitACGEgI+Pj7Lg8fjxY3z++eev/P0ok8kwa9Ys9OjRA6NGjcLZs2cREBCg3FZV27Ztw/379/Hrr79i48aNWLx4Mdq1awcvLy988sknaNWqVZXPQZqRkZGBS5cuAXj6O6/kxgcRVZ6uXyOQ7mncuDGcnJykjkGkNh999BH27t2Lzz//XOooWuPg4IDDhw/D2tpaZTwqKgqOjo4SpdJ9nDlN9P9VZQGv6mz06NEv3b5u3TotJdEdL5tdKZPJcO3aNS2m0T722C/t+Y9f/P++s0FBQWjRogV27dolUTL108bCo/n5+fjtt98QEhKCuLg4vPfeexg9ejT69++vfAKmKl71e7HE878f5XI50tLS0KxZM5w+fRqDBw+Gg4MDli5dCgcHB7XP3rt58yYiIiIQEhKClJQUFBYWqvX4VHW5ubmYOHEi1q9fr5w5r6enh1GjRmH58uUwMjKSOCERERFR5SxYsACLFy/Gu+++iw4dOqBOnToq23VpUlaJbdu2wdvbG7NmzcK8efMwd+5cXLp0CevXr8f//vc/9O3bV+qIOonFaarVShbwWrt2LU6ePMnHAokqoKioSDkTurYXp58vmMpkMpiZmcHV1RUBAQEvXMypJtL0wqNffPEFNm3ahBYtWsDX1xdeXl5o2rSpmtJXzbPFaeBpexNPT0/cvHkTd+7cUevfkIKCAuzYsQO//PILduzYgcaNG+PWrVtqOz6px7hx47B//34EBQXB2dkZABAXF4dJkyahb9++WLFihcQJiYiIiCqntk7KOnz4MObNm4fExETk5OSgS5cumD17Nvr16yd1NJ3F4jTVSrGxsVAoFNiyZQusrKwwZMgQfPDBB+jWrZvU0agGefLkCVJTU/Haa6/Vyn7eVLvl5uYqW73Ex8ejqKgIixcvhq+v7ytbvbyMXC5Hy5Yt4ejo+NJWGVK0JBo9ejSWLVum8vHl5+dj7NixiI2NRWpqapXPcejQIWzcuBFbtmxBcXExhgwZAi8vL7i6uqqldQipV9OmTREVFQUXFxeV8UOHDmHo0KHIyMiQJhgRERERUQ3B4jTVGtpcwKu6iYqKwubNm/HXX3/hyZMnKttOnTolUaqaKy8vDxMnTkRYWBgA4PLly7C1tcXEiRPRvHlzzJw5U+KEpG2xsbFo166dckZtiYKCAhw7dgw9e/aUKJl2qLPVi4+PT7mKsNWtJZE6WkM1b94cmZmZ6N+/P7y8vODh4fHChcCoejAyMsLJkydhb2+vMn7+/Hk4OTkhNzdXomRERERE6nHv3j0AqDZPM5LuYXGaaoVnF/Dy8vJSLuClzh6p1dWyZcvw7bffwsfHB6tXr8bo0aNx9epV/Pnnnxg/fjx+/PFHqSPWOJMnT8aRI0eUi8GdPXsWtra22LZtG+bMmYPTp09LHZG0TC6Xw9zcHNHR0ejevbtyPD09HVZWVrWmZVBta/VS0hpKoVAgISGhyl/nNWvW4KOPPkKjRo3UE5A0zs3NDU2aNMH69etRr149AMCjR4/g7e2NzMxM7N+/X+KERERERBWXlZWFb7/9FpGRkbh//z4AwNTUFMOGDcMPP/ygs9erpqamZU6UkclkqFevHlq3bg0fH59yr2FD5cPiNNUK2ljAq7pq164dvvvuOwwfPhz169dHYmIibG1tMXv2bGRmZiIoKEjqiBoRHh6OlStXIjU1FceOHYO1tTUCAwNhY2ODwYMHV+nY1tbWiIyMRPfu3VU+p1euXEGXLl2QnZ2tpo+Cagq5XI7Jkydj9erVCA4Oho+PD4CnxWlLS0vlQmmkGzTRGqqgoACGhoY4c+aMTi7Oq6uSkpLg7u6O/Px8dOrUCQCQmJiIevXqYc+ePXj99dclTkhERERUMZmZmXjrrbdw69YteHl5KZ8Qu3DhAjZu3IgWLVrg6NGjMDU1lTip+i1ZsgQ//vgjBgwYACcnJwBAfHw8du/ejalTpyI1NRXh4eFYvnw5PvvsM4nT6g42SaVaIS4uDgqFAl27dlVZwKs2+Ouvv/D2228DAAwNDfHw4UMAwMiRI9G9e3edLE6vWLECs2fPxpQpU/Djjz8qZzM2atQIgYGBVS5OZ2RklGrfADztwcuesJWnyRsKmiaTyTBr1iz06NEDo0aNwtmzZxEQEKDcRjVfWa2h8vPzsXXrVrXc4KxTpw5atmxZa2bZ64r27dsjJSUFGzZsQHJyMgBg+PDh8PLygqGhocTpiIiIiCpu3rx5MDAwwNWrV2Fubl5qW79+/TBv3jwsWbJEooSaExcXhx9++AGff/65yviqVauwd+9ebNmyBR07dsSyZctYnFYjudQBiLShe/fuWLNmDe7cuYNx48Zh06ZNsLKyQnFxMfbt26cs2OoiCwsLZGZmAgBatmyJ48ePAwBSU1Ohqw9OLF++HGvWrMG3334LPT095fgbb7yBc+fOVfn4b7zxBnbs2KF8XVJ8XLt2Ld56660qH782WrFiBaZNm4aBAwciKyur1A2F6q7kZ2nIkCE4fPgwoqKiMGDAAGRlZUkbjF4pPDwczs7OsLKywo0bNwAAgYGB2LZtm3IfDw8PtG3bFmfPnkVgYCBu376N5cuXqz3Lt99+i2+++Ub5O5tqBiMjI3z22WcICAhAQEAAPv30UxamiYiIqMbaunUrFi1aVKowDTytLyxcuBDR0dESJNO8PXv2oE+fPqXG3dzcsGfPHgDAwIEDce3aNW1H02mcOU21irGxMXx9feHr66tcwMvf3x8zZ86s0gJe1Zmrqyt+//13ODo6YvTo0Zg6dSqioqKQkJCAIUOGSB1PI1JTU+Ho6FhqvG7dumpZnGr+/PkYMGAALly4gMLCQixduhQXLlzA0aNHERMTU+Xj10YlNxQ8PT3h7++vHH/jjTfw1VdfSZis4hwdHREfHw9PT0+4ublJHYdeorxPWezatavM1lDqFhQUhCtXrsDKygrW1tYwNjZW2c4FbKuHilwrDBo0SINJiIiIiNTvzp07L21N1r59e6SlpWkxkfY0btwY27dvx9SpU1XGt2/fjsaNGwN4+sR0/fr1pYins1icplqrbdu2WLhwIRYsWKBcwEsXrV69Wtnvdvz48WjSpAmOHj2KQYMGYdy4cRKn0wwbGxucOXMG1tbWKuO7d+9W9suqinfeeQdnzpyBv78/OnTogL1796JLly44duwYOnToUOXj10aavqGgad7e3iozJS0sLBATE4OxY8ciNjZWwmT0MuW9KaKt1lCenp5qPyapX3m/TjKZjG1aiIiIqMZp2rQprl+/jn/9619lbk9NTVUWanXNf/7zH/j5+eHQoUPKntN//vkndu7ciZUrVwIA9u3bh169ekkZU+dwQUQi0jlr167FnDlzEBAQgDFjxmDt2rW4evUqFixYgLVr19aafuM1iYODAxYsWIDBgwerLDK5fPlyrFu3rkbPGE1KSuICd5Wk6T7khoaGSE5OhrW1tcr3XUpKCjp27IhHjx6p7J+bm4vIyEiEhIQgPj4eRUVFWLx4MXx9fTl7goiIiIh0gq+vL65evYp9+/bBwMBAZVt+fj7c3d1ha2ursxP8jhw5gqCgIFy6dAnA04mNEydOVK7lRerHmdNEOm737t0wMTHBO++8AwAIDg7GmjVr4ODggODgYJ1cYbek3+e///1v5OXl4ZNPPoGVlRWWLl1apcJ0YWEhioqKULduXeVYeno6Vq5cidzcXAwaNEj5eaaKmTZtGsaPH4/Hjx9DCIH4+HhEREQobyjUNA8fPkRERAQUCgUSEhI4e7ISNL2wKVDxpyy00RoqKysLUVFRuHr1KqZPn47GjRvj1KlTMDc3R/Pmzat8fCIiIiKil5k3bx7eeOMN2NnZYfz48WjXrh2EELh48SJ+/vln5OfnIzw8XOqYGuPs7AxnZ2epY9Qugoh0Wvv27cWOHTuEEEKcPXtWGBgYiFmzZonu3bsLHx8fidOpX0FBgQgLCxNpaWlCCCFyc3NFenq6Wo7t4+Mjxo4dq3ydnZ0tWrRoIczMzETHjh2Fvr6+8nNNFffLL7+I1q1bC5lMJmQymWjevLlYu3at1LEqJCYmRowaNUoYGxsLOzs7MWPGDBEfHy91rBrJ3t5eREdHCyGEMDExEVevXhVCCHHu3DnRpEkTtZxjzZo1onnz5mLTpk3C2NhYREREiB9++EH57/IoLCwU0dHRwsPDo8p5EhMThZmZmWjdurXQ19dXfszffvutGDlyZJWPT+pz4MABYW9vLx48eFBqW1ZWlnBwcBAxMTESJCMiIiKqumvXron+/fsLuVyu/P+ZXC4X7u7uIiUlRep4WvHo0SPx4MEDlTfSDLb1INJxJiYmSEpKQqtWrTBnzhwkJSUhKioKp06dwsCBA3VyIQMjIyNcvHix1GzIqmrTpg2CgoLQr18/AE9noc+fPx8XLlxAw4YNMWPGDMTHx+PQoUNqPa+uKywsxMaNG+Hu7g5zc3Pk5eUhJycHzZo1kzpauaSlpSE0NBQKhQLZ2dkYOnQoVq5cicTERDg4OEgdr8aqaMuNytqwYQPmzJmDq1evAgCsrKwwd+5cjBkzRi3Hr4g+ffqgS5cuWLhwocrHfPToUXzyySe4fv261jNR2QYNGoTevXuXWiynxLJly3Do0CGdXcmeiIiIaof79+8jJSUFANC6dWud7TVdIi8vD19//TU2b96Mf/75p9R2PhGrGXKpAxCRZhkYGCAvLw8AsH//fmVhtXHjxsjOzpYymsY4OTnh9OnTaj/urVu3YGdnp3x94MABfPDBB2jYsCGAp4vinT9/Xu3n1XX6+vr4/PPP8fjxYwBPby7UlMK0h4cH2rZti7NnzyIwMBC3b9/G8uXLpY6lE0pabjxPXQubFhYWYv369ejTpw9SUlKQk5ODtLQ03Lx5U5LCNPB0sZWyFqpt3ry5Tt5IrMkSExPRv3//F27v168fTp48qcVEREREROpnamoKJycnODk56XxhGgCmT5+OgwcPYsWKFahbty7Wrl2LuXPnwsrKCuvXr5c6ns5iz2kiHffOO+9g2rRpcHZ2Rnx8PCIjIwEAly9ffuHquzXdF198gS+//BI3b95E165dYWxsrLK9Y8eOlTpuvXr1VGZrHj9+HP/9739Vtufk5FQudC1XckNB3bPdNW3Xrl2YNGkS/Pz8VG5cUNVpug95yU2RixcvAnh6U8TIyKjKx62KunXrlnnT8PLlyzAzM5MgEb1Ieno66tSp88Lt+vr6yMjI0GIiIiIiIqqq7du3Y/369XBxccHo0aPRo0cPtG7dGtbW1tiwYQO8vLykjqiTWJwm0nFBQUH44osvEBUVhRUrVigX1Nq1a9dLZ33VZCWLHk6aNEk5JpPJIISATCar9KM4nTt3Rnh4OBYsWIDDhw8jPT0drq6uyu1Xr16FlZVV1cLXUpq6oaBpcXFxUCgU6Nq1K+zt7TFy5MgqLbpJ/0dTC5s+q7rdFBk0aBDmzZuHzZs3A3j6e+uvv/7CjBkz8MEHH0icjp7VvHlzJCUloXXr1mVuP3v2LCwtLbWcioiIiIiqIjMzE7a2tgCABg0aIDMzE8DTSX9+fn5SRtNp7DlNRDrnxo0bL91e2UJUTEwMBgwYAEtLS9y5cwfDhw+HQqFQbv/iiy+Qm5uLsLCwSh2/NpPLS3eZUscNBW3Jzc1FZGQkQkJCEB8fj6KiIixevBi+vr6oX7++1PFqHG31Id+8eTNmzZqFqVOnVoubIg8ePMCHH36IhIQEPHz4EFZWVkhLS8Nbb72FnTt3lspH0pk4cSL++OMP/Pnnn6hXr57KtkePHsHJyQm9e/fGsmXLJEpIRERERBXVsWNHLF++HL169UKfPn3QuXNnLFq0CMuWLcPChQtx8+ZNqSPqJBaniWqBoqIiREdHKx9ft7e3h6enJ/T1+fBERV28eBF79+6FhYUFPvroI5Wi6urVq+Hk5ITOnTtLF7CG0tQNBSlcunQJCoUC4eHhyMrKQt++ffH7779LHavG0dTCps+qrjdFjhw5gsTEROTk5KBLly7o06ePJDnoxdLT09GlSxfo6elhwoQJaNu2LQAgOTkZwcHBKCoqwqlTp2Bubi5xUiIiIiIqryVLlkBPTw+TJk3C/v374eHhASEECgoKsHjxYkyePFnqiDqJxWkiHXf+/Hl4eHggPT1d+Z/nkv6l27dvR/v27SVOqH6vWqhg1KhRWkpCtVlRURG2b9+OkJAQFqcrwcXFBVOmTIGnp6fGzqFLN0VI+27cuAE/Pz/s2bMHJZfTMpkM7u7uCA4Oho2NjcQJiYiIiKgqrl+/jlOnTqF169bVttWkLmBxmkjHvfXWWzAzM0NYWBhMTU0BAPfv34ePjw8yMjJw9OhRiROqX8nHWaKgoAB5eXkwMDCAkZGRsm8UVR+8oUDPq24tNzTp2LFj+Oeff/Dee+8px9avX4/vvvsOubm58PT0xPLly1G3bl0JU9KL3L9/H1euXIEQAnZ2dqX+BhERERER0YuxOE2k4wwNDZGQkIDXX39dZTwpKQndunXDo0ePJEqmXSkpKfDz88P06dPh7u4udRx6Dm8o0PO00XKjutwUGTBgAFxcXDBjxgwAwLlz59ClSxf4+PjA3t4e//3vfzFu3DjMmTNHK3mIiIiIiGoTThaRFhvOEum4Nm3aID09vVRx+u7du2jdurVEqbTPzs4O/v7+GDFiBJKTk6WOQ8+5f/9+qbFnbyhQ7ZOamqrxczzfM+75myLaKk6fOXMG33//vfL1pk2b8Oabb2LNmjUAgBYtWuC7775jcZqIiIiISAPmzZsHFxcXZXH63LlzGDNmjMpkESsrK16PawiL00Q6bsGCBZg0aRLmzJmD7t27AwCOHz+OefPm4aeffkJ2drZy3wYNGkgVUyv09fVx+/ZtqWNQOfGGQu2mjX7P1eWmyP3791UWzouJicGAAQOUr7t164a///5ba3mIiIiIiGoTThaRFovTRDqu5M7f0KFDIZPJAEC5cJOHh4fytboek68Onl98TgiBO3fuICgoCM7Ozmo7T0JCAi5evAgAsLe3xxtvvKG2Y9NTvKFQe0nVckOKmyLm5uZITU1FixYt8OTJE5w6dQpz585Vbn/48CHq1KmjlSxERERERLUNJ4tIi8VpIh136NAhqSNonaenp8prmUwGMzMzuLq6IiAgoMrHv3nzJoYPH44jR46gUaNGAICsrCy8/fbb2LRpE/71r39V+Ry1jbZuKFDNIWXLDW3fFBk4cCBmzpyJn376CVu3boWRkRF69Oih3H727Fm89tprWstDRERERFSbcLKItFicJtJxvXr1euG2pKQktG/fXotptKO4uFijx//0009RUFCAixcvom3btgCAS5cuYfTo0fj000+xe/dujZ5fF2n6hgLVPNpouVFdbop8//33GDJkCHr16gUTExOEhYXBwMBAuT0kJAT9+vXTWh4iIiIiotqEk0WkJRMlz/cTUa3w8OFDREREYO3atTh58qTOtPJ4VmxsLNq1a4dmzZqpjBcUFODYsWPo2bNnlY5vaGiIo0ePwtHRUWX85MmT6NGjB/Ly8qp0fCJ6sYSEBLW13JDL5Sqvn78pYmlpWeVzVMSDBw9gYmICPT09lfHMzEyYmJioFKyJiIiIiEg97t27hyFDhiAuLk45WeT9999Xbndzc0P37t3x448/SphSd3HmNFEtERsbC4VCgS1btsDKygpDhgxBcHCw1LE0wsXFBebm5oiOjlYuAgk8LfD07t27ygX5Fi1aoKCgoNR4UVERrKysqnTs2krTNxRId6iz5Yamn7KoqIYNG5Y53rhxYy0nISIiIiKqPZo2bYrY2NgXThb59ddfYWJiIlE63cfiNJEOS0tLQ2hoKBQKBbKzszF06FDk5+dj69atcHBwkDqeRg0bNgxubm4IDg6Gj4+PclwdD4v897//xcSJExEcHKxcBDEhIQGTJ0/GokWLqnz82kjTNxSo5tFGyw3eFCEiIiIiohKcLCINtvUg0lEeHh6IjY3Fu+++Cy8vL/Tv3x96enqoU6cOEhMTdbo4raenhzt37iAuLg6jRo3C2LFjERAQgLt378LKyqrKhU5TU1Pk5eWhsLAQ+vpP7/GV/NvY2Fhl38zMzCqdq7aQy+WYPHkyVq9erXJDIT09HZaWltVuhitpnjZabsjl8jJviqSnp6vldwURERERERG9HGdOE+moXbt2YdKkSfDz84OdnZ3UcbSq5J7bkCFDYGNjg8GDB+PChQtYunSpWo4fGBioluPQ/5HJZJg1axZ69OiBUaNG4ezZs8qFEGUymcTpSArauiGhyacsiIiIiIiI6OVYnCbSUXFxcVAoFOjatSvs7e0xcuRIDBs2TOpYWufo6Ij4+Hh4enrCzc1NLcf09vZWy3Ho/2j6hgLVPNpoucGbIkRERERERNKSv3oXIqqJunfvjjVr1uDOnTsYN24cNm3aBCsrKxQXF2Pfvn14+PCh1BE1xtvbG4aGhsrXFhYWiImJgZubG1q2bKmWcxQVFSEqKgrff/89vv/+e2zZsgWFhYVqOXZtV3JDISsrS203FKjmcXFxQadOnXD8+HGV8ZI+5Orw7E2Rw4cPIyoqCgMGDEBWVpZajl8Z4eHhcHZ2hpWVFW7cuAHg6dMa27ZtkywTERERERGRprA4TaTjjI2N4evri7i4OJw7dw5ffvkl/P390axZMwwaNEjqeBqxbt061K9fX2Wsbt26CAsLw/bt26t8/PPnz6NNmzbw9vZGdHQ0oqOj4e3tDTs7OyQlJVX5+LWRNm4oUM1T0nIjNDRUZVwTLTeqw02RFStWYNq0aRg4cCCysrKUPa8bNWrEdkJERERERKSTuCAiUS1UVFSE7du3IyQkBL///rvUcTTu4cOHiIiIgEKhQEJCQpUXOXvrrbdgZmaGsLAwmJqaAgDu378PHx8fZGRk4OjRo+qITf9fUlIS2rdvL3UM0jJNL2wKAKNHj8ayZctUbmbl5+dj7NixiI2NRWpqapXPUREODg6YP38+PD09Ub9+fSQmJsLW1hZJSUlwcXHBvXv3tJqHiIiIiIhI01icJiKdFRsbC4VCgS1btsDKygpDhgzBBx98gG7dulXpuIaGhkhISMDrr7+uMp6UlIRu3brh0aNHVTo+qf+GAtU8crkcaWlpaNasGU6fPo3BgwfDwcEBS5cuhYODg8a/J6S4KWJoaIjk5GRYW1urFKdTUlLQsWNH/m4hIiIiIiKdw7YeRKRT0tLS4O/vDzs7O3z00Udo0KAB8vPzsXXrVvj7+1e5MA0Abdq0QXp6eqnxu3fvonXr1lU+fm0WGxsLb29vWFpaYtGiRejdu3epnsNU+2ir5cbDhw+xevVqvPnmm+jUqZPGzvMiNjY2OHPmTKnx3bt3w97eXut5iIiIiIiINE1f6gBEROri4eGB2NhYvPvuuwgMDET//v2hp6eHlStXqvU8CxYswKRJkzBnzhx0794dAHD8+HHMmzcPP/30E7Kzs5X7NmjQQK3n1kVpaWkIDQ2FQqFAdnY2hg4dqryh4ODgIHU8ksiL+pCXtNxQp7KesggKClLrOcpj2rRpGD9+PB4/fgwhBOLj4xEREYEFCxZg7dq1Ws9DRERERESkaWzrQUQ6Q19fH5MmTYKfnx/s7OyU43Xq1EFiYqLaCp1y+f89dCKTyQD83wJtz76WyWRsR/EKz95Q8PLyUt5QUPfXjHSLOlpulHVTZOXKlZJ/323YsAFz5szB1atXAQBWVlaYO3cuxowZI1kmIiIiIiIiTeHMaSLSGXFxcVAoFOjatSvs7e0xcuRIDBs2TO3nOXTokNqPWVvt2rWrzBsKRM9TZx9ybT1lURGFhYXYuHEj3N3d4eXlhby8POTk5KBZs2aSZSIiIiIiItI0zpwmIp2Tm5uLyMhIhISEID4+HkVFRVi8eDF8fX1Rv359jZ5bikXUarLjx49DoVAgMjJS5YaCpaWl5DNYqXrQxMKm2nrKoqKMjIxw8eJFWFtbS3J+IiIiIiIibeOCiESkc4yNjeHr64u4uDicO3cOX375Jfz9/dGsWTMMGjRI7ecrWUTNyclJkkXUarLu3btjzZo1uHPnDsaNG4dNmzbBysoKxcXF2LdvHx4+fCh1RJKAphc2jYuLw8OHD9G1a1e8+eabCAoKwr1799SUvvKcnJxw+vRpqWMQERERERFpDWdOE1GtUFRUhO3btyMkJAS///67Wo6piRmdBFy6dAkKhQLh4eHIyspC37591fY1o+pPm33IpXzKoiybN2/GrFmzMHXqVHTt2hXGxsYq2zt27Kj1TERERERERJrE4jQRUQVU10XUdJEmbihQ9SdVy43qcFPk2cVWS8hkMi6wSkREREREOovFaSKictLmjE6i2krqPuRS3hS5cePGS7ezFzUREREREekaFqeJiMqpui6iRqSLqlvLDSIiIiIiIlI/FqeJiMpJ6hmdRLVVdWi5oQ3r169/6fZRo0ZpKQkREREREZF2sDhNRFRBnNFJJA1d70Nuamqq8rqgoAB5eXkwMDCAkZERMjMzJUpGRERERESkGSxOExFVQW2Z0UlE0khJSYGfnx+mT58Od3d3qeMQERERERGpFYvTRERqoOszOolIOgkJCRgxYgSSk5OljkJERERERKRWLE4TERERVWNnzpxBz549kZ2dLXUUIiIiIiIitdKXOgARERERodRTF0II3LlzB0FBQXB2dpYoFRERERERkeZw5jQRERFRNSCXy1Vey2QymJmZwdXVFQEBAbC0tJQoGRERERERkWawOE1EREREREREREREWid/9S5EREREpGmxsbG4e/duqfGCggLExsZKkIiIiIiIiEizWJwmIqqE8PBwODs7w8rKCjdu3AAABAYGYtu2bRInI6KaysXFBZ06dcLx48dVxjMzM9G7d2+JUhEREREREWkOi9NERBW0YsUKTJs2DQMHDkRWVhaKiooAAI0aNUJgYKC04YioRhs2bBjc3NwQGhqqMs4ubEREREREpItYnCYiqqDly5djzZo1+Pbbb6Gnp6ccf+ONN3Du3DkJkxFRTSaTyTBr1iyEh4djwoQJmDZtmrIoLZPJJE5HRERERESkfixOExFVUGpqKhwdHUuN161bF7m5uRIkIiJdUFKIHjJkCA4fPoyoqCgMGDAAWVlZ0gYjIiIiIiLSEBaniYgqyMbGBmfOnCk1vnv3btjb22s/EBHpHEdHR8THxyMrKwtubm5SxyEiIiIiItIIfakDEBHVNNOmTcP48ePx+PFjCCEQHx+PiIgILFiwAGvXrpU6HhHVUN7e3jA0NFS+trCwQExMDMaOHYvY2FgJkxEREREREWmGTHCFHSKiCtuwYQPmzJmDq1evAgCsrKwwd+5cjBkzRuJkRKSLkpKS0L59e6ljEBERERERqRWL00REFVBYWIiNGzfC3d0d5ubmyMvLQ05ODpo1ayZ1NCLSMQ8fPkRERAQUCgUSEhJQVFQkdSQiIiIiIiK1Ys9pIqIK0NfXx+eff47Hjx8DAIyMjFiYJiK1io2Nhbe3NywtLbFo0SL07t0bx48flzoWERERERGR2rHnNBFRBTk5OeH06dOwtraWOgoR6Yi0tDSEhoZCoVAgOzsbQ4cORX5+PrZu3QoHBwep4xEREREREWkEi9NERBX0xRdf4Msvv8TNmzfRtWtXGBsbq2zv2LGjRMmIqCby8PBAbGws3n33XQQGBqJ///7Q09PDypUrpY5GRERERESkUew5TURUQXJ56Y5IMpkMQgjIZDL2hSWiCtHX18ekSZPg5+cHOzs75XidOnWQmJjImdNERERERKSzOHOaiKiCUlNTpY5ARDokLi4OCoUCXbt2hb29PUaOHIlhw4ZJHYuIiIiIiEjjOHOaiIiIqBrIzc1FZGQkQkJCEB8fj6KiIixevBi+vr6oX7++1PGIiIiIiIjUjsVpIqIKWr9+/Uu3jxo1SktJiEhXXbp0CQqFAuHh4cjKykLfvn3x+++/Sx2LiIiIiIhIrVicJiKqIFNTU5XXBQUFyMvLg4GBAYyMjJCZmSlRMiLSNUVFRdi+fTtCQkJYnCYiIiIiIp3D4jQRkRqkpKTAz88P06dPh7u7u9RxiIiIiIiIiIiqPRaniYjUJCEhASNGjEBycrLUUYiIiIiIiIiIqj251AGIiHSFvr4+bt++LXUMIiIiIiIiIqIaQV/qAERENc3zfV+FELhz5w6CgoLg7OwsUSoiIiIiIiIiopqFbT2IiCpILld96EQmk8HMzAyurq4ICAiApaWlRMmIiIiIiIiIiGoOFqeJiIiIiIiIiIiISOvYc5qIqIJiY2Nx9+7dUuMFBQWIjY2VIBERERERERERUc3DmdNERBUkl8thbm6O6OhodO/eXTmenp4OKysrFBUVSZiOiIiIiIiIiKhm4MxpIqJKGDZsGNzc3BAaGqoyzvt9RERERERERETlw+I0EVEFyWQyzJo1C+Hh4ZgwYQKmTZumLErLZDKJ0xERERERERER1QwsThMRVVBJIXrIkCE4fPgwoqKiMGDAAGRlZUkbjIiIiIiIiIioBmFxmoioChwdHREfH4+srCy4ublJHYeIiIiIiIiIqMZgcZqIqIK8vb1haGiofG1hYYGYmBi4ubmhZcuWEiYjIiIiIiIiIqo5ZIKrdxERqU1SUhLat28vdQwiIiIiIiIiomqPM6eJiKro4cOHWL16Nd5880106tRJ6jhERERERERERDUCi9NERJUUGxsLb29vWFpaYtGiRejduzeOHz8udSwiIiIiIiIiohpBX+oAREQ1SVpaGkJDQ6FQKJCdnY2hQ4ciPz8fW7duhYODg9TxiIiIiIiIiIhqDM6cJiIqJw8PD7Rt2xZnz55FYGAgbt++jeXLl0sdi4iIiIiIiIioRuLMaSKictq1axcmTZoEPz8/2NnZSR2HiIiIiIiIiKhG48xpIqJyiouLw8OHD9G1a1e8+eabCAoKwr1796SORURERERERERUI8mEEELqEERENUlubi4iIyMREhKC+Ph4FBUVYfHixfD19UX9+vWljkdEREREREREVCOwOE1EVAWXLl2CQqFAeHg4srKy0LdvX/z+++9SxyIiIiIiIiIiqvZYnCYiUoOioiJs374dISEhLE4TEREREREREZUDi9NEREREREREREREpHVcEJGIiIiIiIiIiIiItI7FaSIiIiIiIiIiIiLSOhaniYiIiIiIiIiIiEjrWJwmIiIiIpLY9evXIZPJcObMGamjEBERERFpDRdEJCIiIiKSWFFRETIyMtC0aVPo6+tLHYeIiIiISCtYnCYiIiIi0qCCggLUqVNH6hhERERERNUO23oQERERET0nKioKHTp0gKGhIZo0aYI+ffogNzcXALB27VrY29ujXr16aNeuHX7++Wfl+5W054iMjESvXr1Qr149rFixAoaGhti1a5fKOaKjo1G/fn3k5eWV2dbj/PnzeO+999CgQQPUr18fPXr0wNWrV5XbX5bjyZMnmDBhAiwtLVGvXj1YW1tjwYIFGvpsERERERFVDp8ZJCIiIiJ6xp07dzB8+HAsXLgQ77//Ph4+fIjDhw9DCIENGzZg9uzZCAoKgqOjI06fPo3PPvsMxsbG8Pb2Vh5j5syZCAgIgKOjI+rVq4fDhw9j48aNGDBggHKfDRs2wNPTE0ZGRqUy3Lp1Cz179oSLiwsOHjyIBg0a4MiRIygsLFS+78tyLFu2DL///js2b96Mli1b4u+//8bff/+t+U8eEREREVEFsDhNRERERPSMO3fuoLCwEEOGDIG1tTUAoEOHDgCA7777DgEBARgyZAgAwMbGBhcuXMCqVatUitNTpkxR7gMAXl5eGDlyJPLy8mBkZITs7Gzs2LED0dHRZWYIDg5Gw4YNsWnTJmVLkDZt2ii3vyrHX3/9BTs7O7zzzjuQyWTKj4OIiIiIqDphz2kiIiIiomcUFRXB3d0d8fHxcHd3R79+/fDhhx/CwMAAJiYmMDQ0hFz+f93xCgsL0bBhQ6Snp+P69euwsbFBXFwcnJ2dlfs8efIEFhYW+PnnnzFs2DCsW7cOM2fOxK1bt6Cvr698v9OnT6Nz584YOHAgzMzMEBYWVipfbm7uK3OcOnUKffv2RZMmTdC/f3+899576Nevn2Y/cUREREREFcSZ00REREREz9DT08O+fftw9OhR7N27F8uXL8e3336L7du3AwDWrFmDN998s9T7PMvY2FjltYGBAT788ENs3LgRw4YNw8aNG/Hxxx9DX7/sy3FDQ8MX5svJyXllji5duiA1NRW7du3C/v37MXToUPTp0wdRUVHl+AwQEREREWkHi9NERERERM+RyWRwdnaGs7MzZs+eDWtraxw5cgRWVla4du0avLy8KnxMLy8v9O3bF+fPn8fBgwfxww8/vHDfjh07IiwsDAUFBcq2HiXMzc3LlaNBgwb4+OOP8fHHH+PDDz9E//79kZmZicaNG1c4OxERERGRJrA4TURERET0jBMnTuDAgQPo168fmjVrhhMnTiAjIwP29vaYO3cuJk2ahIYNG6J///7Iz89HQkIC7t+/j2nTpr30uD179oSFhQW8vLxgY2NTatbzsyZMmIDly5dj2LBhmDVrFho2bIjjx4/DyckJbdu2fWWOxYsXw9LSEo6OjpDL5fj1119hYWGBRo0aqfmzRURERERUeSxOExERERE9o0GDBoiNjUVgYCCys7NhbW2NgIAADBgwAABgZGSE//73v5g+fTqMjY3RoUMHTJky5ZXHlclkGD58OBYuXIjZs2e/dN8mTZrg4MGDmD59Onr16gU9PT107txZ2cf6008/fWmO+vXrY+HChUhJSYGenh66deuGnTt3qvSoJiIiIiKSGhdEJCIiIiIiIiIiIiKt49QJIiIiIiIiIiIiItI6FqeJiIiIiIiIiIiISOtYnCYiIiIiIiIiIiIirWNxmoiIiIiIiIiIiIi0jsVpIiIiIiIiIiIiItI6FqeJiIiIiIiIiIiISOtYnCYiIiIiIiIiIiIirWNxmoiIiIiIiIiIiIi0jsVpIiIiIiIiIiIiItI6FqeJiIiIiIiIiIiISOtYnCYiIiIiIiIiIiIirWNxmoiIiIiIiIiIiIi07v8BUkSOR9fJPiUAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}