Three-point (PERT) effort estimates

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

{
 "constants": {},
 "entryName": "compute_three_point_estimate",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 5,
 "hiddenCaseNames": [
  "zero_spread",
  "clean_divide",
  "batch_total",
  "one_decimal",
  "invalid_bounds"
 ],
 "inputKeys": [
  "a",
  "b",
  "estimate",
  "items",
  "m",
  "rounding"
 ],
 "normalizeSource": "def _three_point_normalize(r):\n    if isinstance(r, str):\n        return r\n    try:\n        items = [{\"estimate\": round(float(x[\"estimate\"]), 4), \"margin\": round(float(x[\"margin\"]), 4),\n                  \"low\": round(float(x[\"low\"]), 4), \"high\": round(float(x[\"high\"]), 4)} for x in r[\"items\"]]\n        return {\"items\": items, \"total_estimate\": round(float(r[\"total_estimate\"]), 4)}\n    except Exception:\n        return repr(r)\n",
 "returnShapes": [
  [
   "items",
   "total_estimate"
  ],
  "invalid_item",
  "invalid_estimate_bounds"
 ],
 "signature": "def compute_three_point_estimate(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "items": [
     {
      "estimate": 153,
      "high": 166,
      "low": 140,
      "margin": 13
     }
    ],
    "total_estimate": 153
   },
   "input": {
    "items": [
     {
      "a": 120,
      "b": 200,
      "m": 150
     }
    ],
    "rounding": 0
   },
   "name": "book_example"
  }
 ],
 "vocabulary": [
  "a",
  "b",
  "estimate",
  "high",
  "invalid_estimate_bounds",
  "invalid_item",
  "items",
  "low",
  "m",
  "margin",
  "rounding",
  "total_estimate"
 ]
}