Project scoring and MVP pick

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

{
 "constants": {},
 "entryName": "rank_projects_and_pick_mvp",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 11,
 "hiddenCaseNames": [
  "weights_renormalized",
  "exact_tie_broken_by_feasibility",
  "gate_excludes_top_ranked",
  "no_project_clears_gate",
  "scale_1_to_10",
  "lowest_cost_tie_break",
  "bet_split_by_value_threshold",
  "missing_weight_defaults_zero",
  "single_project_eligible",
  "all_zero_weights_fall_back_equal",
  "three_way_tie_by_name"
 ],
 "inputKeys": [
  "_c",
  "_f",
  "_v",
  "bet",
  "bet_split",
  "business_value",
  "cost_to_deliver",
  "eligible",
  "feasibility",
  "filters",
  "gate_filter",
  "gate_min",
  "name",
  "projects",
  "score_scale",
  "scores",
  "tie_break",
  "weightedTotal",
  "weights"
 ],
 "normalizeSource": "def _rank_mvp_normalize(r):\n    try:\n        ranked = []\n        for x in r[\"ranked\"]:\n            e = {\"name\": str(x[\"name\"]), \"weightedTotal\": round(float(x[\"weightedTotal\"]), 4),\n                 \"rank\": int(x[\"rank\"]), \"eligible\": bool(x[\"eligible\"])}\n            if x.get(\"bet\") is not None:\n                e[\"bet\"] = str(x[\"bet\"])\n            ranked.append(e)\n        return {\"ranked\": ranked, \"mvp\": (None if r.get(\"mvp\") is None else str(r[\"mvp\"])),\n                \"mvpReason\": str(r[\"mvpReason\"])}\n    except Exception:\n        return repr(r)\n",
 "returnShapes": [
  [
   "mvp",
   "mvpReason",
   "ranked"
  ]
 ],
 "signature": "def rank_projects_and_pick_mvp(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "mvp": "alpha",
    "mvpReason": "highest-ranked eligible project",
    "ranked": [
     {
      "eligible": true,
      "name": "alpha",
      "rank": 1,
      "weightedTotal": 0.9333
     },
     {
      "eligible": true,
      "name": "beta",
      "rank": 2,
      "weightedTotal": 0.4667
     }
    ]
   },
   "input": {
    "bet_split": "no",
    "filters": [
     "business_value",
     "feasibility",
     "demonstration_potential"
    ],
    "gate_filter": "feasibility",
    "gate_min": 3,
    "projects": [
     {
      "name": "alpha",
      "scores": {
       "business_value": 5,
       "demonstration_potential": 4,
       "feasibility": 5
      }
     },
     {
      "name": "beta",
      "scores": {
       "business_value": 2,
       "demonstration_potential": 2,
       "feasibility": 3
      }
     }
    ],
    "score_scale": "1-5",
    "tie_break": "highest_feasibility_then_value"
   },
   "name": "three_equal_weights_clear_winner"
  }
 ],
 "vocabulary": [
  "0-100",
  "1-10",
  "1-5",
  "_c",
  "_f",
  "_v",
  "bet",
  "bet_split",
  "business_value",
  "cost_to_deliver",
  "eligible",
  "feasibility",
  "filters",
  "gate_filter",
  "gate_min",
  "highest-ranked eligible project",
  "highest_feasibility_then_value",
  "highest_value_then_feasibility",
  "lowest_cost_then_value",
  "mvp",
  "mvpReason",
  "name",
  "no",
  "no candidate clears the gate",
  "no-regrets",
  "projects",
  "rank",
  "ranked",
  "score_scale",
  "scores",
  "strategic",
  "tie_break",
  "weightedTotal",
  "weights",
  "yes"
 ]
}