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Platform: MaxKraev Test platform

Context: Test

Title: Using Statistical Functions on Vectors

Description:

JWT attributes in request: 

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  "picture": "http://example.org/Kenneth.jpg",
  "email": "Kenneth.II@example.org",
  "name": "Kenneth Larson Leannon II",
  "https://purl.imsglobal.org/spec/lti/claim/roles": [
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    "title": "Using Statistical Functions on Vectors",
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    "label": "Test",
    "title": "Test",
    "type": [
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    "contact_email": "",
    "description": "",
    "url": "",
    "product_family_code": "",
    "version": "1.0",
    "guid": "3545"
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  "https://purl.imsglobal.org/spec/lti-ags/claim/endpoint": {
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      "https://purl.imsglobal.org/spec/lti-ags/scope/score"
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    "lineitems": "https://lti-ri.imsglobal.org/platforms/3545/contexts/54260/line_items",
    "lineitem": "https://lti-ri.imsglobal.org/platforms/3545/contexts/54260/line_items/50621"
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  "https://purl.imsglobal.org/spec/lti-nrps/claim/namesroleservice": {
    "context_memberships_url": "https://lti-ri.imsglobal.org/platforms/3545/contexts/54260/memberships",
    "service_versions": [
      "2.0"
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    "scopes": [
      "https://purl.imsglobal.org/spec/lti-ces/v1p0/scope/send"
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    "caliper_endpoint_url": "https://lti-ri.imsglobal.org/platforms/3545/sensors",
    "caliper_federated_session_id": "urn:uuid:d5341999dc7aa7ac3915"
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  "iss": "codio",
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  "https://purl.imsglobal.org/spec/lti/claim/version": "1.3.0",
  "locale": "en-US",
  "https://purl.imsglobal.org/spec/lti/claim/launch_presentation": {
    "document_target": "iframe",
    "height": 320,
    "width": 240,
    "return_url": "https://lti-ri.imsglobal.org/platforms/3545/returns"
  },
  "https://www.example.com/extension": {
    "color": "violet"
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  "https://purl.imsglobal.org/spec/lti/claim/custom": {
    "myCustomValue": "123"
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  "https://purl.imsglobal.org/spec/lti/claim/deployment_id": "test",
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}

JWT that will be sent: 

eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiIsImtpZCI6Ii0zNGVNOUdfbDh4bGhHdFQ3QVB4cGttdk0tS0RCY09PbzVjTnl0Rk03VG8ifQ.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.yeGwy4GmiMyTbQN9FDkn8Je-_Xr84km0WOXOv1_iEV5dPgmJBGJgftnDKnP07F-4Cn8C60OnS3pLOgLIEvM7XgqUia0Ba9MYFqAGyZPbD3fbuR2Dg3yaeJNVn2bIFNheD8JcowTvQwacouiyzpLblV0goXiNpR4P6Prw4421ljoHyckbY-7cqbeROaC-YdDF1beO2J8tsGoVHExPvrns8EkhKS2BDzMzKyobf6nsr1ofG-rUuocY7VRo_tQ3erDELYF7dBxnIWCryCCLisoFzgDMm2PElDkqCSl42rgEZ1IX-QQ-3GiN7LlfP79yvnDcIO4pa0udqRslYyRCwVuO4Q

Launch

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