| { |
| "modell": "Qwen3.6-27B Q6_K", |
| "reasoning": false, |
| "max_tokens": 900, |
| "terminal": [ |
| { |
| "id": "term01", |
| "titel": "Zeilen zaehlen", |
| "ok": true, |
| "grund": "", |
| "antwort": "wc -l < log.txt", |
| "tps": 30.815962668662365, |
| "prompt_tps": 201.05991585492478, |
| "tokens": 7, |
| "prompt_tokens": 67, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 15, |
| "abbruch": "stop", |
| "ttft": 0.333, |
| "sekunden": 0.61 |
| }, |
| { |
| "id": "term02", |
| "titel": "Muster mit Zeilennummer", |
| "ok": true, |
| "grund": "", |
| "antwort": "grep -n \"WARN\" log.txt", |
| "tps": 30.41681170979658, |
| "prompt_tps": 360.63265271075545, |
| "tokens": 9, |
| "prompt_tokens": 63, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 22, |
| "abbruch": "stop", |
| "ttft": 0.175, |
| "sekunden": 0.94 |
| }, |
| { |
| "id": "term03", |
| "titel": "Groesste Datei", |
| "ok": true, |
| "grund": "", |
| "antwort": "ls -S | head -n 1", |
| "tps": 30.14699675618315, |
| "prompt_tps": 181.7005519842526, |
| "tokens": 10, |
| "prompt_tokens": 66, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 17, |
| "abbruch": "stop", |
| "ttft": 0.363, |
| "sekunden": 0.92 |
| }, |
| { |
| "id": "term04", |
| "titel": "Spalte aus CSV", |
| "ok": true, |
| "grund": "", |
| "antwort": "tail -n +2 messwerte.csv | cut -d ';' -f 1", |
| "tps": 28.976548313564887, |
| "prompt_tps": 204.61694721375812, |
| "tokens": 18, |
| "prompt_tokens": 83, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 42, |
| "abbruch": "stop", |
| "ttft": 0.406, |
| "sekunden": 1.24 |
| }, |
| { |
| "id": "term05", |
| "titel": "Doppelte Zeilen", |
| "ok": true, |
| "grund": "", |
| "antwort": "sort namen.txt | uniq -c | sort -rn", |
| "tps": 29.697383660499504, |
| "prompt_tps": 374.41749278526294, |
| "tokens": 12, |
| "prompt_tokens": 65, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 35, |
| "abbruch": "stop", |
| "ttft": 0.174, |
| "sekunden": 0.97 |
| }, |
| { |
| "id": "term06", |
| "titel": "Summe einer Spalte", |
| "ok": false, |
| "grund": "Ausgabe falsch: '29'", |
| "antwort": "awk -F';' 'NR>1{s+=$2}END{print s}' messwerte.csv", |
| "tps": 23.418369165135136, |
| "prompt_tps": 418.15328304632817, |
| "tokens": 23, |
| "prompt_tokens": 77, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 49, |
| "abbruch": "stop", |
| "ttft": 0.184, |
| "sekunden": 1.61 |
| }, |
| { |
| "id": "term07", |
| "titel": "Numerisch sortieren", |
| "ok": false, |
| "grund": "Ausgabe falsch: 'pumpe;6;47.3;ok\\nmotor;6;231.5;ok\\nkompressor;6;18.7;warn\\nvent'", |
| "antwort": "tail -n +2 messwerte.csv | sort -t ';' -k2 -nr", |
| "tps": 22.93096331770005, |
| "prompt_tps": 368.33327125469214, |
| "tokens": 19, |
| "prompt_tokens": 89, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 46, |
| "abbruch": "stop", |
| "ttft": 0.242, |
| "sekunden": 1.3 |
| }, |
| { |
| "id": "term08", |
| "titel": "JSON-Feld lesen", |
| "ok": true, |
| "grund": "", |
| "antwort": "jq -r '.port' config.json", |
| "tps": 30.453967136785685, |
| "prompt_tps": 349.32260524798994, |
| "tokens": 9, |
| "prompt_tokens": 60, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 25, |
| "abbruch": "stop", |
| "ttft": 0.172, |
| "sekunden": 0.86 |
| }, |
| { |
| "id": "term09", |
| "titel": "Ersetzen in Datei", |
| "ok": true, |
| "grund": "", |
| "antwort": "sed -i 's/WARN/ACHTUNG/g' log.txt", |
| "tps": 29.151331851473962, |
| "prompt_tps": 235.300194266136, |
| "tokens": 16, |
| "prompt_tokens": 82, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 33, |
| "abbruch": "stop", |
| "ttft": 0.348, |
| "sekunden": 1.12 |
| }, |
| { |
| "id": "term10", |
| "titel": "Gefiltert zaehlen", |
| "ok": true, |
| "grund": "", |
| "antwort": "awk -F';' 'NR>1 && $2==6{count++} END{print count}' messwerte.csv", |
| "tps": 24.360909582228444, |
| "prompt_tps": 453.6096863114554, |
| "tokens": 27, |
| "prompt_tokens": 91, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 65, |
| "abbruch": "stop", |
| "ttft": 0.201, |
| "sekunden": 1.78 |
| } |
| ], |
| "code": [ |
| { |
| "id": "code01", |
| "titel": "Intervalle zusammenfassen", |
| "ok": true, |
| "grund": "", |
| "bestanden": 5, |
| "gesamt": 5, |
| "code": "def merge_intervalle(intervalle):\n if not intervalle:\n return []\n \n # Sortiere die Intervalle nach dem Startwert\n intervalle.sort(key=lambda x: x[0])\n \n merged = [intervalle[0]]\n \n for current_start, current_end in intervalle[1:]:\n last_start, last_end = merged[-1]\n \n # Wenn das aktuelle Intervall mit dem letzten zusammengefassten Intervall\n # ueberlappt oder direkt aneinander grenzt, fusioniere sie\n if current_start <= last_end:\n merged[-1] = (last_start, max(last_end, current_end))\n else:\n merged.a", |
| "tps": 23.305677262981263, |
| "prompt_tps": 288.9850100678649, |
| "tokens": 173, |
| "prompt_tokens": 124, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 672, |
| "abbruch": "stop", |
| "ttft": 0.429, |
| "sekunden": 8.08 |
| }, |
| { |
| "id": "code02", |
| "titel": "Verschachteltes dict flach machen", |
| "ok": true, |
| "grund": "", |
| "bestanden": 6, |
| "gesamt": 6, |
| "code": "def flatten(d, sep='.'):\n result = {}\n for key, value in d.items():\n if isinstance(value, dict):\n if not value:\n continue\n sub_dict = flatten(value, sep)\n for sub_key, sub_value in sub_dict.items():\n result[f\"{key}{sep}{sub_key}\"] = sub_value\n else:\n result[key] = value\n return result", |
| "tps": 23.540931854709175, |
| "prompt_tps": 213.06525295198472, |
| "tokens": 99, |
| "prompt_tokens": 93, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 396, |
| "abbruch": "stop", |
| "ttft": 0.436, |
| "sekunden": 4.86 |
| }, |
| { |
| "id": "code03", |
| "titel": "Roemische Zahlen lesen", |
| "ok": true, |
| "grund": "", |
| "bestanden": 6, |
| "gesamt": 6, |
| "code": "def roemisch_zu_int(s: str) -> int:\n romer_werte = {\n 'I': 1,\n 'V': 5,\n 'X': 10,\n 'L': 50,\n 'C': 100,\n 'D': 500,\n 'M': 1000\n }\n \n ergebnis = 0\n i = 0\n \n while i < len(s):\n # Wenn es ein Subtraktionspaar gibt (aktuelles Zeichen kleiner als nächstes)\n if i + 1 < len(s) and romer_werte[s[i]] < romer_werte[s[i + 1]]:\n ergebnis += romer_werte[s[i + 1]] - romer_werte[s[i]]\n i += 2\n else:\n ergebnis += romer_werte[s[i]]\n i += 1\n \n return ergebnis", |
| "tps": 23.50727760678258, |
| "prompt_tps": 238.43128656974113, |
| "tokens": 229, |
| "prompt_tokens": 87, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 605, |
| "abbruch": "stop", |
| "ttft": 0.365, |
| "sekunden": 10.34 |
| }, |
| { |
| "id": "code04", |
| "titel": "Wortfrequenz mit Gleichstand", |
| "ok": true, |
| "grund": "", |
| "bestanden": 5, |
| "gesamt": 5, |
| "code": "import re\nfrom collections import Counter\n\ndef top_woerter(text, n):\n words = re.findall(r'[a-zA-Z0-9]+', text.lower())\n counts = Counter(words)\n sorted_words = sorted(counts.items(), key=lambda x: (-x[1], x[0]))\n return sorted_words[:n]", |
| "tps": 23.877311211800407, |
| "prompt_tps": 431.28013184849743, |
| "tokens": 80, |
| "prompt_tokens": 112, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 263, |
| "abbruch": "stop", |
| "ttft": 0.26, |
| "sekunden": 4.01 |
| }, |
| { |
| "id": "code05", |
| "titel": "Klammern pruefen", |
| "ok": true, |
| "grund": "", |
| "bestanden": 7, |
| "gesamt": 7, |
| "code": "def klammern_ok(s):\n stack = []\n matching = {')': '(', ']': '[', '}': '{'}\n opening = set(matching.values())\n \n for char in s:\n if char in opening:\n stack.append(char)\n elif char in matching:\n if not stack or stack[-1] != matching[char]:\n return False\n stack.pop()\n \n return len(stack) == 0", |
| "tps": 23.93742347148722, |
| "prompt_tps": 446.0755489770676, |
| "tokens": 105, |
| "prompt_tokens": 88, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 387, |
| "abbruch": "stop", |
| "ttft": 0.197, |
| "sekunden": 4.99 |
| }, |
| { |
| "id": "code06", |
| "titel": "Suche im rotierten Feld", |
| "ok": true, |
| "grund": "", |
| "bestanden": 6, |
| "gesamt": 6, |
| "code": "def suche_rotiert(arr, ziel):\n if not arr:\n return -1\n \n links, rechts = 0, len(arr) - 1\n \n while links <= rechts:\n mitte = (links + rechts) // 2\n \n if arr[mitte] == ziel:\n return mitte\n \n # Prüfen, ob der linke Teil sortiert ist\n if arr[links] <= arr[mitte]:\n # Ziel liegt im sortierten linken Teil\n if arr[links] <= ziel < arr[mitte]:\n rechts = mitte - 1\n else:\n links = mitte + 1\n else:\n # Der rechte Teil ist sortiert\n if arr[mit", |
| "tps": 23.030094921990734, |
| "prompt_tps": 500.3812428516965, |
| "tokens": 200, |
| "prompt_tokens": 105, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 758, |
| "abbruch": "stop", |
| "ttft": 0.21, |
| "sekunden": 9.28 |
| }, |
| { |
| "id": "code07", |
| "titel": "Werktage zwischen zwei Daten", |
| "ok": true, |
| "grund": "", |
| "bestanden": 5, |
| "gesamt": 5, |
| "code": "from datetime import datetime, timedelta\n\ndef werktage(von, bis):\n if not von or not bis:\n return 0\n \n try:\n start = datetime.strptime(von, '%Y-%m-%d')\n end = datetime.strptime(bis, '%Y-%m-%d')\n except ValueError:\n return 0\n \n if end < start:\n return 0\n \n count = 0\n current = start\n while current <= end:\n if current.weekday() < 5: # Montag=0 bis Freitag=4\n count += 1\n current += timedelta(days=1)\n \n return count", |
| "tps": 23.408363079523635, |
| "prompt_tps": 454.0043180855143, |
| "tokens": 151, |
| "prompt_tokens": 90, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 526, |
| "abbruch": "stop", |
| "ttft": 0.198, |
| "sekunden": 6.87 |
| }, |
| { |
| "id": "code08", |
| "titel": "LRU-Zwischenspeicher", |
| "ok": true, |
| "grund": "", |
| "bestanden": 5, |
| "gesamt": 5, |
| "code": "from collections import OrderedDict\n\n\nclass LRU:\n def __init__(self, groesse):\n self.groesse = groesse\n self.cache = OrderedDict()\n\n def get(self, schluessel):\n if schluessel not in self.cache:\n return None\n self.cache.move_to_end(schluessel)\n return self.cache[schluessel]\n\n def put(self, schluessel, wert):\n if schluessel in self.cache:\n self.cache.move_to_end(schluessel)\n self.cache[schluessel] = wert\n if len(self.cache) > self.groesse:\n self.cache.popitem(last=False)", |
| "tps": 23.259517168207463, |
| "prompt_tps": 501.06240298979793, |
| "tokens": 156, |
| "prompt_tokens": 133, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 585, |
| "abbruch": "stop", |
| "ttft": 0.265, |
| "sekunden": 7.19 |
| }, |
| { |
| "id": "code09", |
| "titel": "Wiederholung nach Fehlschlag", |
| "ok": true, |
| "grund": "", |
| "bestanden": 4, |
| "gesamt": 4, |
| "code": "def wiederhole(fn, versuche=3):\n for _ in range(versuche):\n try:\n return fn()\n except Exception as e:\n if _ == versuche - 1:\n raise", |
| "tps": 22.774707711028004, |
| "prompt_tps": 504.9999761792464, |
| "tokens": 56, |
| "prompt_tokens": 106, |
| "denk_zeichen": 0, |
| "antwort_zeichen": 199, |
| "abbruch": "stop", |
| "ttft": 0.21, |
| "sekunden": 2.89 |
| }, |
| { |
| "id": "code10", |
| "titel": "CSV sortieren und als JSON", |
| "ok": true, |
| "grund": "", |
| "bestanden": 3, |
| "gesamt": 3, |
| "code": "import csv\nimport json\nimport io\n\ndef csv_nach_json(text, spalte):\n reader = csv.DictReader(io.StringIO(text), delimiter=';')\n rows = list(reader)\n \n if not rows:\n return json.dumps([])\n \n # Check if all values in the specified column are numeric\n all_numeric = True\n for row in rows:\n val = row[spalte].strip()\n if val == '':\n all_numeric = False\n break\n try:\n float(val)\n except ValueError:\n all_numeric = False\n break\n \n if all_numeric:\n rows.sort(key=lambda r: float(r[", |
| "tps": 22.78953120153886, |
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| "tokens": 192, |
| "prompt_tokens": 127, |
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| "antwort_zeichen": 745, |
| "abbruch": "stop", |
| "ttft": 0.224, |
| "sekunden": 8.86 |
| } |
| ], |
| "messungen": [ |
| { |
| "tps": 30.815962668662365, |
| "prompt_tps": 201.05991585492478, |
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| "prompt_tokens": 67, |
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| "abbruch": "stop", |
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| }, |
| { |
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| "abbruch": "stop", |
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| }, |
| { |
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| } |
| ], |
| "summe": { |
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| "terminal_n": 10, |
| "code_ok": 10, |
| "code_n": 10, |
| "code_testfaelle_ok": 52, |
| "code_testfaelle_n": 52, |
| "tps_median": 23.9, |
| "tps_min": 22.8, |
| "tps_max": 30.8, |
| "prompt_tps_median": 374.4, |
| "tokens_gesamt": 1591, |
| "sekunden_gesamt": 78.7, |
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| "tokens_je_aufgabe": 79.5, |
| "denk_zeichen_gesamt": 0, |
| "antwort_zeichen_gesamt": 5485, |
| "am_limit": 0 |
| } |
| } |
