Unit economics and contribution margin

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

{
 "constants": {},
 "entryName": "compute_unit_economics",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 9,
 "hiddenCaseNames": [
  "t1_anchor",
  "t2_anchor",
  "floor_binds_thin",
  "thin_negative",
  "multi_payee",
  "zero_gmv",
  "high_value",
  "default_rail",
  "ts_fixed_term"
 ],
 "inputKeys": [
  "floor",
  "gmv",
  "judge_cost",
  "payee_count",
  "per_payee_fee",
  "rail_flat",
  "rail_pct",
  "serve_cost",
  "take_pct",
  "ts_fixed",
  "ts_rate"
 ],
 "normalizeSource": "def _unit_economics_normalize(r):\n    \"\"\"Coerce the operator function's numeric output (contribution in dollars) to\n    integer cents before comparing. repr() on anything non-numeric -> the case fails.\"\"\"\n    try:\n        return round(float(r) * 100)\n    except Exception:\n        return repr(r)\n",
 "returnShapes": [],
 "signature": "def compute_unit_economics(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": 2380,
   "input": {
    "gmv": 100,
    "take_pct": 0.28,
    "ts_rate": 0.01
   },
   "name": "t1_basic"
  },
  {
   "expect": 2280,
   "input": {
    "gmv": 100,
    "judge_cost": 0.5,
    "take_pct": 0.28,
    "ts_rate": 0.015
   },
   "name": "t2_judge"
  }
 ],
 "vocabulary": [
  "floor",
  "gmv",
  "judge_cost",
  "payee_count",
  "per_payee_fee",
  "rail_flat",
  "rail_pct",
  "serve_cost",
  "take_pct",
  "ts_fixed",
  "ts_rate"
 ]
}