Defect removal efficiency

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

{
 "constants": {},
 "entryName": "compute_defect_removal_efficiency",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 5,
 "hiddenCaseNames": [
  "perfect_policy_zero",
  "undefined_policy_zero",
  "all_escaped",
  "with_phases",
  "rounding_3dp"
 ],
 "inputKeys": [
  "by_phase",
  "escaped",
  "escaped_defects",
  "internal_defects",
  "per_phase",
  "phase",
  "phases",
  "removed",
  "rounding_dp",
  "zero_division_policy"
 ],
 "normalizeSource": "def _dre_normalize(r):\n    def n(v):\n        return None if v is None else round(float(v), 6)\n    try:\n        out = {\"dre\": n(r[\"dre\"])}\n        if \"by_phase\" in r and r.get(\"by_phase\") is not None:\n            out[\"by_phase\"] = [{\"phase\": str(p[\"phase\"]), \"dre\": n(p[\"dre\"])} for p in r[\"by_phase\"]]\n        return out\n    except Exception:\n        return repr(r)\n",
 "returnShapes": [],
 "signature": "def compute_defect_removal_efficiency(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "dre": 90
   },
   "input": {
    "escaped_defects": 10,
    "internal_defects": 90
   },
   "name": "ninety_pct"
  },
  {
   "expect": {
    "dre": 90
   },
   "input": {
    "escaped_defects": 5,
    "internal_defects": 45
   },
   "name": "scaled_same"
  }
 ],
 "vocabulary": [
  "by_phase",
  "dre",
  "escaped",
  "escaped_defects",
  "internal_defects",
  "no",
  "per_phase",
  "perfect",
  "phase",
  "phases",
  "removed",
  "rounding_dp",
  "undefined",
  "yes",
  "zero_division_policy"
 ]
}