Net Promoter Score

The exact vocabulary the automated check enforces: keys, tokens, entry points, and worked examples. Generated from the verification source.

{
 "constants": {},
 "entryName": "compute_nps",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 6,
 "hiddenCaseNames": [
  "all_detractors",
  "realistic",
  "out_of_range_excluded",
  "fail_mode_invalid",
  "single_passive",
  "empty"
 ],
 "inputKeys": [
  "exclude_out_of_range",
  "responses"
 ],
 "normalizeSource": "def _nps_normalize(r):\n    try:\n        if not r.get(\"valid\", False):\n            return {\"valid\": False}\n        c = r.get(\"counts\", {}) or {}\n        return {\"valid\": True, \"n\": int(r[\"n\"]), \"nps\": int(round(float(r[\"nps\"]))),\n                \"det\": int(r.get(\"det\", c.get(\"detractors\"))), \"pas\": int(r.get(\"pas\", c.get(\"passives\"))),\n                \"pro\": int(r.get(\"pro\", c.get(\"promoters\")))}\n    except Exception:\n        return repr(r)\n",
 "returnShapes": [
  [
   "det",
   "n",
   "nps",
   "pas",
   "pro",
   "valid"
  ],
  [
   "valid"
  ]
 ],
 "signature": "def compute_nps(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "det": 0,
    "n": 5,
    "nps": 100,
    "pas": 0,
    "pro": 5,
    "valid": true
   },
   "input": {
    "responses": "10,10,9,9,9"
   },
   "name": "all_promoters"
  },
  {
   "expect": {
    "det": 2,
    "n": 6,
    "nps": 0,
    "pas": 2,
    "pro": 2,
    "valid": true
   },
   "input": {
    "responses": "9,9,8,7,6,0"
   },
   "name": "balanced_zero"
  }
 ],
 "vocabulary": [
  ",",
  ";",
  "det",
  "exclude",
  "exclude_out_of_range",
  "fail",
  "n",
  "nps",
  "pas",
  "pro",
  "responses",
  "valid"
 ]
}