GLM-Testlabor: drei Aufgaben, klare Bewertung

auswerten.pyAusschnitt

"""Aggregate manually verified coding trials without network access."""
import argparse
import csv
import math
from collections import defaultdict
from pathlib import Path

def summarize(path: Path) -> str:
    groups: dict[str, list[tuple[int, int, float, float]]] = defaultdict(list)
    seen: set[tuple[str, str, str]] = set()
    designs: dict[str, set[tuple[str, str, int]]] = defaultdict(set)
    with path.open(encoding="utf-8-sig", newline="") as handle:
        reader = csv.DictReader(handle)
        required = {"candidate", "task", "run", "passed", "total", "usability_0_5", "rework_minutes", "evidence"}
        if not required.issubset(reader.fieldnames or []):
            raise ValueError("CSV-Spalten fehlen")
        for line, row in enumerate(reader, 2):
            key = (row["candidate"].strip(), row["task"].strip(), row["run"].strip())