Market sizing (TAM / SAM / SOM) with the adequacy check

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

{
 "constants": {},
 "entryName": "compute_tam_sam_som",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 4,
 "hiddenCaseNames": [
  "inadequate_som",
  "half_obtainable",
  "exactly_2x_boundary",
  "invalid_zero_coverage"
 ],
 "inputKeys": [
  "avg_revenue_per_account",
  "db_account_count",
  "db_coverage_fraction",
  "obtainable_fraction",
  "revenue_objective",
  "serviceable_fraction"
 ],
 "normalizeSource": "def _tamsamsom_normalize(r):\n    if isinstance(r, str):\n        return r\n    try:\n        return {\"total_accounts\": round(float(r[\"total_accounts\"]), 2), \"tam\": round(float(r[\"tam\"]), 2),\n                \"sam\": round(float(r[\"sam\"]), 2), \"som\": round(float(r[\"som\"]), 2), \"som_adequate\": bool(r[\"som_adequate\"])}\n    except Exception:\n        return repr(r)\n",
 "returnShapes": [
  [
   "sam",
   "som",
   "som_adequate",
   "tam",
   "total_accounts"
  ],
  "invalid_coverage"
 ],
 "signature": "def compute_tam_sam_som(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "sam": 10000000,
    "som": 10000000,
    "som_adequate": true,
    "tam": 10000000,
    "total_accounts": 1000
   },
   "input": {
    "avg_revenue_per_account": 10000,
    "db_account_count": 750,
    "db_coverage_fraction": 0.75,
    "obtainable_fraction": 1,
    "revenue_objective": 5000000,
    "serviceable_fraction": 1
   },
   "name": "full_coverage_adequate"
  }
 ],
 "vocabulary": [
  "avg_revenue_per_account",
  "db_account_count",
  "db_coverage_fraction",
  "invalid_coverage",
  "obtainable_fraction",
  "revenue_objective",
  "sam",
  "serviceable_fraction",
  "som",
  "som_adequate",
  "tam",
  "total_accounts"
 ]
}