{
  "model": "qwen3-coder-30b",
  "timestamp": "2026-02-22T14:38:56Z",
  "hardware": "RTX 4090 (24GB)",
  "concurrency_levels": [
    {
      "concurrency": 1,
      "total_time_ms": 2201.4,
      "primary": [
        {
          "role": "primary_turn_1",
          "ttft_ms": 135.3,
          "response_time_ms": 721.9,
          "tokens_generated": 58,
          "tokens_per_sec": 80.3,
          "content_preview": "```python\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel\nfrom uuid import uuid4\nfrom typing import Optional\n\napp = FastAPI()\n\nclass UserCreate(BaseModel):\n    name: str\n    email: str\n    age: int\n\nclass User(UserCreate):\n    id: str\n\nusers = []\n\n@app.post(\"/users\", response_model=User, status_code=201)\ndef create_user(user: UserCreate):\n    user_id = str(uuid4())\n    user_data = User(id=user_id, **user.dict())\n    users.append(user_data)\n    return user_data\n\n# To run: uvicorn main:"
        },
        {
          "role": "primary_turn_2",
          "ttft_ms": 38.7,
          "response_time_ms": 624.4,
          "tokens_generated": 59,
          "tokens_per_sec": 94.5,
          "content_preview": "```python\nfrom pydantic import BaseModel, EmailStr, validator\nfrom typing import Optional\n\nclass UserCreate(BaseModel):\n    name: str\n    email: EmailStr\n    age: int\n    \n    @validator('name')\n    def name_must_not_be_empty(cls, v):\n        if not v or not v.strip():\n            raise ValueError('Name must be non-empty')\n        return v\n    \n    @validator('age')\n    def age_must_be_in_range(cls, v):\n        if v < 0 or v > 150:\n            raise ValueError('Age must be between 0 and 150')\n  "
        },
        {
          "role": "primary_turn_3",
          "ttft_ms": 39.3,
          "response_time_ms": 855.0,
          "tokens_generated": 73,
          "tokens_per_sec": 85.4,
          "content_preview": "```python\nfrom fastapi import FastAPI, HTTPException\nfrom pydantic import BaseModel\nfrom uuid import uuid4\nfrom typing import Optional\n\napp = FastAPI()\n\nusers = {}\n\nclass UserCreate(BaseModel):\n    name: str\n    email: str\n    age: int\n\nclass User(UserCreate):\n    id: str\n\n@app.post(\"/users\", response_model=User, status_code=201)\ndef create_user(user: UserCreate):\n    user_id = str(uuid4())\n    user_data = User(id=user_id, **user.dict())\n    users[user_id] = user_data\n    return user_data\n\n@app."
        }
      ],
      "side_tasks": []
    },
    {
      "concurrency": 2,
      "total_time_ms": 4363.1,
      "primary": [
        {
          "role": "primary_turn_1",
          "ttft_ms": 110.4,
          "response_time_ms": 1263.8,
          "tokens_generated": 43,
          "tokens_per_sec": 34.0,
          "content_preview": "```python\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel\nfrom uuid import uuid4\nfrom typing import Optional\n\napp = FastAPI()\n\nclass UserCreate(BaseModel):\n    name: str\n    email: str\n    age: int\n\nclass User(UserCreate):\n    id: str\n\n@app.post(\"/users\", response_model=User, status_code=201)\nasync def create_user(user: UserCreate):\n    return User(id=str(uuid4()), **user.dict())\n```"
        },
        {
          "role": "primary_turn_2",
          "ttft_ms": 48.4,
          "response_time_ms": 1607.8,
          "tokens_generated": 59,
          "tokens_per_sec": 36.7,
          "content_preview": "```python\nfrom pydantic import BaseModel, EmailStr, validator\nfrom typing import Optional\n\nclass UserCreate(BaseModel):\n    name: str\n    email: EmailStr\n    age: int\n    \n    @validator('name')\n    def name_must_not_be_empty(cls, v):\n        if not v or not v.strip():\n            raise ValueError('Name must be non-empty')\n        return v\n    \n    @validator('age')\n    def age_must_be_in_range(cls, v):\n        if v < 0 or v > 150:\n            raise ValueError('Age must be between 0 and 150')\n  "
        },
        {
          "role": "primary_turn_3",
          "ttft_ms": 56.1,
          "response_time_ms": 1491.3,
          "tokens_generated": 121,
          "tokens_per_sec": 81.1,
          "content_preview": "```python\nfrom fastapi import FastAPI, HTTPException\nfrom pydantic import BaseModel, EmailStr, validator\nfrom uuid import uuid4\nfrom typing import Optional, Dict\n\napp = FastAPI()\n\n# Storage\nusers_db: Dict[str, User] = {}\n\nclass UserCreate(BaseModel):\n    name: str\n    email: EmailStr\n    age: int\n    \n    @validator('name')\n    def name_must_not_be_empty(cls, v):\n        if not v or not v.strip():\n            raise ValueError('Name must be non-empty')\n        return v\n    \n    @validator('age')\n"
        }
      ],
      "side_tasks": [
        {
          "role": "S1_docstring",
          "ttft_ms": 109.5,
          "response_time_ms": 3123.0,
          "tokens_generated": 169,
          "tokens_per_sec": 54.1,
          "verified": true,
          "keywords_found": [
            "sorted",
            "index",
            "target",
            "Args",
            "Returns"
          ],
          "keywords_missing": [],
          "content_preview": "```python\ndef binary_search(arr, target):\n    \"\"\"Perform binary search on a sorted array to find the index of a target value.\n\n    This function implements the binary search algorithm to efficiently locate\n    a target value in a sorted array. It repeatedly divides the search interval\n    in half until the target is found or the interval is empty.\n\n    Args:\n        arr (list): A sorted list of elements to search through. The list must be\n                   sorted in ascending order for the algo"
        }
      ]
    },
    {
      "concurrency": 3,
      "total_time_ms": 3722.4,
      "primary": [
        {
          "role": "primary_turn_1",
          "ttft_ms": 134.6,
          "response_time_ms": 1465.0,
          "tokens_generated": 43,
          "tokens_per_sec": 29.4,
          "content_preview": "```python\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel\nfrom uuid import uuid4\nfrom typing import Optional\n\napp = FastAPI()\n\nclass UserCreate(BaseModel):\n    name: str\n    email: str\n    age: int\n\nclass User(UserCreate):\n    id: str\n\n@app.post(\"/users\", response_model=User, status_code=201)\nasync def create_user(user: UserCreate):\n    return User(id=str(uuid4()), **user.dict())\n```"
        },
        {
          "role": "primary_turn_2",
          "ttft_ms": 54.4,
          "response_time_ms": 1685.2,
          "tokens_generated": 55,
          "tokens_per_sec": 32.6,
          "content_preview": "```python\nfrom pydantic import BaseModel, validator, EmailStr\n\nclass UserCreate(BaseModel):\n    name: str\n    email: EmailStr\n    age: int\n    \n    @validator('name')\n    def name_must_not_be_empty(cls, v):\n        if not v or not v.strip():\n            raise ValueError('Name must be non-empty')\n        return v\n    \n    @validator('age')\n    def age_must_be_in_range(cls, v):\n        if v < 0 or v > 150:\n            raise ValueError('Age must be between 0 and 150')\n        return v\n```"
        },
        {
          "role": "primary_turn_3",
          "ttft_ms": 39.9,
          "response_time_ms": 572.1,
          "tokens_generated": 47,
          "tokens_per_sec": 82.2,
          "content_preview": "```python\nfrom fastapi import FastAPI, HTTPException\nfrom pydantic import BaseModel\nfrom uuid import uuid4\nfrom typing import Optional, Dict\n\napp = FastAPI()\nusers_db: Dict[str, User] = {}\n\n@app.get(\"/users/{user_id}\", response_model=User)\nasync def get_user(user_id: str):\n    user = users_db.get(user_id)\n    if not user:\n        raise HTTPException(status_code=404, detail=\"User not found\")\n    return user\n```"
        }
      ],
      "side_tasks": [
        {
          "role": "S1_docstring",
          "ttft_ms": 133.6,
          "response_time_ms": 2733.6,
          "tokens_generated": 117,
          "tokens_per_sec": 42.8,
          "verified": true,
          "keywords_found": [
            "sorted",
            "index",
            "target",
            "Args",
            "Returns"
          ],
          "keywords_missing": [],
          "content_preview": "```python\ndef binary_search(arr, target):\n    \"\"\"Perform binary search on a sorted array to find the index of a target value.\n\n    This function implements the binary search algorithm, which repeatedly divides\n    the search interval in half until the target is found or the interval is empty.\n\n    Args:\n        arr: A sorted list of elements to search through.\n        target: The value to search for in the array.\n\n    Returns:\n        int: The index of the target value in the array if found, oth"
        },
        {
          "role": "S2_unit_tests",
          "ttft_ms": 132.8,
          "response_time_ms": 3149.4,
          "tokens_generated": 69,
          "tokens_per_sec": 21.9,
          "verified": true,
          "keywords_found": [
            "def test_",
            "pytest",
            "assert"
          ],
          "keywords_missing": [],
          "content_preview": "```python\nimport pytest\n\ndef calculate_discount(price: float, discount_pct: float) -> float:\n    if not 0 <= discount_pct <= 100:\n        raise ValueError(\"Discount must be 0-100\")\n    return round(price * (1 - discount_pct / 100), 2)\n\ndef test_calculate_discount_normal_case():\n    assert calculate_discount(100.0, 20.0) == 80.0\n\ndef test_calculate_discount_edge_cases():\n    assert calculate_discount(100.0, 0.0) == 100.0\n    assert calculate_discount(100.0, 100.0) == 0.0\n\ndef test_calculate_disco"
        }
      ]
    },
    {
      "concurrency": 5,
      "total_time_ms": 6283.3,
      "primary": [
        {
          "role": "primary_turn_1",
          "ttft_ms": 191.3,
          "response_time_ms": 2251.6,
          "tokens_generated": 58,
          "tokens_per_sec": 25.8,
          "content_preview": "```python\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel\nfrom uuid import uuid4\nfrom typing import Optional\n\napp = FastAPI()\n\nclass UserCreate(BaseModel):\n    name: str\n    email: str\n    age: int\n\nclass User(UserCreate):\n    id: str\n\nusers = []\n\n@app.post(\"/users\", response_model=User, status_code=201)\ndef create_user(user: UserCreate):\n    user_id = str(uuid4())\n    user_data = User(id=user_id, **user.dict())\n    users.append(user_data)\n    return user_data\n\n# To run: uvicorn main:"
        },
        {
          "role": "primary_turn_2",
          "ttft_ms": 64.5,
          "response_time_ms": 2083.8,
          "tokens_generated": 63,
          "tokens_per_sec": 30.2,
          "content_preview": "```python\nfrom pydantic import BaseModel, EmailStr, validator\nfrom typing import Optional\n\nclass UserCreate(BaseModel):\n    name: str\n    email: EmailStr\n    age: int\n\n    @validator('name')\n    def name_must_not_be_empty(cls, v):\n        if not v or not v.strip():\n            raise ValueError('Name must be non-empty')\n        return v\n\n    @validator('age')\n    def age_must_be_in_range(cls, v):\n        if v < 0 or v > 150:\n            raise ValueError('Age must be between 0 and 150')\n        re"
        },
        {
          "role": "primary_turn_3",
          "ttft_ms": 45.9,
          "response_time_ms": 1947.7,
          "tokens_generated": 114,
          "tokens_per_sec": 58.5,
          "content_preview": "```python\nfrom fastapi import FastAPI, HTTPException\nfrom pydantic import BaseModel, EmailStr, validator\nfrom uuid import uuid4\nfrom typing import Optional\n\napp = FastAPI()\n\nclass UserCreate(BaseModel):\n    name: str\n    email: EmailStr\n    age: int\n\n    @validator('name')\n    def name_must_not_be_empty(cls, v):\n        if not v or not v.strip():\n            raise ValueError('Name must be non-empty')\n        return v\n\n    @validator('age')\n    def age_must_be_in_range(cls, v):\n        if v < 0 o"
        }
      ],
      "side_tasks": [
        {
          "role": "S1_docstring",
          "ttft_ms": 190.2,
          "response_time_ms": 3412.3,
          "tokens_generated": 132,
          "tokens_per_sec": 38.7,
          "verified": true,
          "keywords_found": [
            "sorted",
            "index",
            "target",
            "Args",
            "Returns"
          ],
          "keywords_missing": [],
          "content_preview": "```python\ndef binary_search(arr, target):\n    \"\"\"Perform binary search on a sorted array to find the index of a target value.\n\n    This function implements the binary search algorithm to efficiently locate\n    a target value in a sorted array. It repeatedly divides the search interval\n    in half until the target is found or the interval is empty.\n\n    Args:\n        arr: A sorted list of comparable elements in ascending order.\n        target: The value to search for in the array.\n\n    Returns:\n "
        },
        {
          "role": "S2_unit_tests",
          "ttft_ms": 189.4,
          "response_time_ms": 3770.4,
          "tokens_generated": 69,
          "tokens_per_sec": 18.3,
          "verified": true,
          "keywords_found": [
            "def test_",
            "pytest",
            "assert"
          ],
          "keywords_missing": [],
          "content_preview": "```python\nimport pytest\n\ndef calculate_discount(price: float, discount_pct: float) -> float:\n    if not 0 <= discount_pct <= 100:\n        raise ValueError(\"Discount must be 0-100\")\n    return round(price * (1 - discount_pct / 100), 2)\n\ndef test_calculate_discount_normal_case():\n    assert calculate_discount(100.0, 20.0) == 80.0\n\ndef test_calculate_discount_edge_cases():\n    assert calculate_discount(100.0, 0.0) == 100.0\n    assert calculate_discount(100.0, 100.0) == 0.0\n\ndef test_calculate_disco"
        },
        {
          "role": "S3_find_bug",
          "ttft_ms": 191.7,
          "response_time_ms": 5220.7,
          "tokens_generated": 211,
          "tokens_per_sec": 40.4,
          "verified": false,
          "keywords_found": [
            "ceil",
            "remainder"
          ],
          "keywords_missing": [
            "last page"
          ],
          "content_preview": "The bug is in the calculation of `total_pages`. The current implementation uses integer division (`//`) which truncates towards zero, causing it to underestimate the total number of pages when there's a remainder.\n\n**Example of the bug:**\n- If `items = [1, 2, 3, 4, 5]` (5 items) and `page_size = 2`\n- Current calculation: `total_pages = 5 // 2 = 2` \n- This suggests only 2 pages, but you actually need 3 pages (pages 1, 2, and 3)\n- Page 1: [1, 2], Page 2: [3, 4], Page 3: [5]\n\n**The fix:**\n```python"
        },
        {
          "role": "S4_async_convert",
          "ttft_ms": 45.2,
          "response_time_ms": 911.2,
          "tokens_generated": 23,
          "tokens_per_sec": 25.2,
          "verified": true,
          "keywords_found": [
            "async def",
            "await",
            "aiofiles"
          ],
          "keywords_missing": [],
          "content_preview": "```python\nimport json\nimport aiofiles\n\nasync def read_config(path: str) -> dict:\n    async with aiofiles.open(path) as f:\n        data = json.loads(await f.read())\n    return data\n```"
        }
      ]
    }
  ]
}