{"generated_at":"2026-07-26T14:21:14.688356+00:00","judge":"claude-sonnet-5","judges":["claude-sonnet-5"],"runs":1,"tier":null,"models":[{"id":"gpt-oss-120b","name":"GPT-OSS 120B","tier":"free","average":6.4,"avg_correctness":5.8,"avg_quality":6.5,"avg_documentation":6.7,"avg_speed_ms":8580,"avg_stddev":null,"runs":1,"challenges":[{"name":"refactor","description":"Code clarity + whether the model can explain its changes","correctness":10,"quality":9,"documentation":9,"total":9.3,"speed_ms":30914,"notes":"Correct, idiomatic refactor with meaningful names and clear docstring, though the explanation table is a bit verbose/repetitive rather than concise.","stddev":null,"runs":1,"trace_id":"c196fb965f55cf942a0595f3182320b4","run_details":[{"run":1,"correctness":10,"quality":9,"documentation":9,"total":9.3,"speed_ms":30914,"notes":"Correct, idiomatic refactor with meaningful names and clear docstring, though the explanation table is a bit verbose/repetitive rather than concise.","response":"### Refactored code\n\n```python\nfrom typing import List\n\ndef transform_numbers(values: List[int]) -> List[int]:\n \"\"\"\n Transform a list of integers by squaring even numbers and cubing odd numbers.\n\n Args:\n values: A list of integers to be processed.\n\n Returns:\n A new list where each even integer from *values* is replaced by its square,\n and each odd integer is replaced by its cube.\n \"\"\"\n return [\n x * x if x % 2 == 0 else x * x * x # square if even, otherwise cube\n for x in values\n ]\n```\n\n### Explanation of changes\n\n| Original element | Refactored element | Reason for change |\n|------------------|--------------------|-------------------|\n| `def p(d):` | `def transform_numbers(values: List[int]) -> List[int]:` | **Meaningful name** – `p` tells nothing about the purpose; `transform_numbers` describes the operation. Added type hints (`List[int]` for the input and output) to clarify expected data types. |\n| `r = []` | removed | The list is now built directly by a list comprehension, eliminating the need for an intermediate mutable variable. |\n| `for i in range(len(d)):` `x = d[i]` | `for x in values` | Iterating directly over the elements of the list is more Pythonic, avoids indexing, and improves readability. |\n| `if x % 2 == 0:` `r.append(x * x)` `else:` `r.append(x * x * x)` | `x * x if x % 2 == 0 else x * x * x` inside the list comprehension | Condensed the conditional logic into a single expression, making the transformation concise while preserving clarity. |\n| No docstring | Added a multi‑line docstring | Provides a clear description of what the function does, its parameters, and its return value, which is essential for maintainability and for tools like IDEs or Sphinx. |\n| No type hints | `from typing import List` and type hints in the signature | Gives static type checkers (e.g., `mypy`) and readers explicit information about expected argument and return types. |\n| Variable names `d`, `r`, `i`, `x` | `values`, `x` (inside comprehension) | `values` conveys that the argument is a collection of numbers; `x` is a conventional short name for an element in a comprehension. The temporary index `i` is no longer needed. |\n\nOverall, the refactored version is **more readable**, **self‑documenting**, **type‑safe**, and **idiomatic Python**."}]},{"name":"readme-writer","description":"Pure documentation ability — no code at all","correctness":9,"quality":9,"documentation":9,"total":9,"speed_ms":32506,"notes":"Comprehensive, well-organized README covering all required sections with correctly documented flags, clear examples, and proper Markdown formatting, though some details (e.g., version, license) are invented without task basis.","stddev":null,"runs":1,"trace_id":"9d8515bcff55d1b74dd4e77ebcdbd9b4","run_details":[{"run":1,"correctness":9,"quality":9,"documentation":9,"total":9,"speed_ms":32506,"notes":"Comprehensive, well-organized README covering all required sections with correctly documented flags, clear examples, and proper Markdown formatting, though some details (e.g., version, license) are invented without task basis.","response":"# snapdiff\n\n**snapdiff** – A fast, lightweight command‑line tool to compare two directory snapshots and report added, removed, and changed files.\n\n---\n\n## Installation\n\n```bash\npip install snapdiff\n```\n\n*Requires Python 3.7+.*\n\n---\n\n## Usage\n\n```bash\nsnapdiff [OPTIONS] \n```\n\n### Main Options\n\n| Option | Description | Default |\n|--------|-------------|---------|\n| `--ignore-hidden` | Skip files and directories that start with a dot (`.`). | `False` |\n| `--output ` | Choose the output format: `text` (human‑readable) or `json`. | `text` |\n| `--depth ` | Limit recursion depth to *N* levels. `0` means only the top‑level directory. | Unlimited |\n| `-h, --help` | Show help message and exit. | – |\n| `-v, --version` | Show version and exit. | – |\n\n### Examples\n\n```bash\n# Basic comparison (human‑readable text)\nsnapdiff /path/to/old_snapshot /path/to/new_snapshot\n\n# JSON output for machine consumption\nsnapdiff --output json /path/to/old /path/to/new\n\n# Ignore hidden files and directories\nsnapdiff --ignore-hidden /path/to/old /path/to/new\n\n# Limit depth to 2 levels\nsnapdiff --depth 2 /path/to/old /path/to/new\n\n# Combine flags\nsnapdiff --ignore-hidden --output json --depth 3 /path/to/old /path/to/new\n```\n\n---\n\n## Output Formats\n\n### Text (default)\n\n```\nAdded (3):\n - src/new_module.py\n - docs/CHANGELOG.md\n - assets/logo.png\n\nRemoved (2):\n - src/old_module.py\n - tests/legacy_test.py\n\nChanged (4):\n - src/main.py\n - requirements.txt\n - config/settings.yml\n - README.md\n```\n\n* The **Added** section lists files present only in ``.\n* The **Removed** section lists files present only in ``.\n* The **Changed** section lists files that exist in both directories but have different contents (detected via hash comparison).\n\n### JSON\n\n```json\n{\n \"added\": [\n \"src/new_module.py\",\n \"docs/CHANGELOG.md\",\n \"assets/logo.png\"\n ],\n \"removed\": [\n \"src/old_module.py\",\n \"tests/legacy_test.py\"\n ],\n \"changed\": [\n \"src/main.py\",\n \"requirements.txt\",\n \"config/settings.yml\",\n \"README.md\"\n ]\n}\n```\n\n*Keys* are always `added`, `removed`, and `changed`. Paths are relative to the root of the compared directories.\n\n---\n\n## How it works\n\n1. **Directory walk** – `snapdiff` recursively walks both directories (respecting the `--depth` limit) and builds a mapping of *relative path → file metadata*.\n2. **Filtering** – If `--ignore-hidden` is set, any entry whose name starts with a dot is excluded from the mapping.\n3. **Hashing** – For each regular file, a fast SHA‑256 hash of its contents is computed. Directories are only compared by their presence, not by contents.\n4. **Set comparison** – \n * Files only in the second mapping → **added**. \n * Files only in the first mapping → **removed**. \n * Files in both mappings with differing hashes → **changed**.\n5. **Formatting** – The resulting three lists are rendered either as plain text or JSON, depending on `--output`.\n\nThe implementation uses Python’s built‑in `os`, `hashlib`, and `json` modules, keeping dependencies minimal and execution fast even on large trees.\n\n---\n\n## License\n\n`snapdiff` is released under the MIT License. See the `LICENSE` file for details."}]},{"name":"sql","description":"CTE + window function fluency on a real schema","correctness":9,"quality":9,"documentation":9,"total":9,"speed_ms":2445,"notes":"Correct use of CTEs, ROW_NUMBER for top_customer, and window function for revenue_pct with proper rounding, though the 4th comment is placed inside the final SELECT rather than above a CTE as strictly required.","stddev":null,"runs":1,"trace_id":"2cbf1e47fd2cb7c21c90d52f5d2059a9","run_details":[{"run":1,"correctness":9,"quality":9,"documentation":9,"total":9,"speed_ms":2445,"notes":"Correct use of CTEs, ROW_NUMBER for top_customer, and window function for revenue_pct with proper rounding, though the 4th comment is placed inside the final SELECT rather than above a CTE as strictly required.","response":"```sql\n/* 1️⃣ country_stats – aggregates revenue, order count and average order value per country */\nWITH country_stats AS (\n SELECT\n c.country,\n SUM(o.amount) AS total_revenue,\n COUNT(*) AS order_count,\n ROUND(AVG(o.amount)::numeric, 2) AS avg_order_value\n FROM orders o\n JOIN customers c ON o.customer_id = c.id\n GROUP BY c.country\n),\n\n/* 2️⃣ customer_spend – total spend of every customer, grouped by the customer’s country */\ncustomer_spend AS (\n SELECT\n c.country,\n c.name AS customer_name,\n SUM(o.amount) AS spend\n FROM orders o\n JOIN customers c ON o.customer_id = c.id\n GROUP BY c.country, c.name\n),\n\n/* 3️⃣ top_customer_per_country – the customer with the highest spend per country\n (ties are resolved by alphabetical order of the customer name) */\ntop_customer_per_country AS (\n SELECT\n country,\n customer_name AS top_customer\n FROM (\n SELECT\n country,\n customer_name,\n spend,\n ROW_NUMBER() OVER (\n PARTITION BY country\n ORDER BY spend DESC, customer_name ASC\n ) AS rn\n FROM customer_spend\n ) ranked\n WHERE rn = 1\n)\n\nSELECT\n cs.country,\n cs.total_revenue,\n cs.order_count,\n cs.avg_order_value,\n t.top_customer,\n /* 4️⃣ revenue_pct – country’s share of global revenue, using a window function */\n ROUND( (cs.total_revenue / SUM(cs.total_revenue) OVER()) * 100, 1 ) AS revenue_pct\nFROM country_stats cs\nJOIN top_customer_per_country t USING (country)\nORDER BY cs.total_revenue DESC;\n```"}]},{"name":"go-test","description":"Idiomatic Go table-driven tests + benchmark","correctness":9,"quality":8,"documentation":9,"total":8.7,"speed_ms":1740,"notes":"Test cases are logically correct (verified word counts, case-insensitivity, punctuation stripping) and use reflect.DeepEqual properly, but the map literal isn't gofmt-aligned, an unnecessary b.ResetTimer() is added with no setup work, and a non-standard unicode hyphen appears in a test name.","stddev":null,"runs":1,"trace_id":"e22d66e26914a725dce243e1bfa852a3","run_details":[{"run":1,"correctness":9,"quality":8,"documentation":9,"total":8.7,"speed_ms":1740,"notes":"Test cases are logically correct (verified word counts, case-insensitivity, punctuation stripping) and use reflect.DeepEqual properly, but the map literal isn't gofmt-aligned, an unnecessary b.ResetTimer() is added with no setup work, and a non-standard unicode hyphen appears in a test name.","response":"**`wordcount_test.go`**\n\n```go\npackage wordcount\n\nimport (\n\t\"reflect\"\n\t\"testing\"\n)\n\n// TestWordCount verifies the behaviour of WordCount using a table‑driven approach.\nfunc TestWordCount(t *testing.T) {\n\ttests := []struct {\n\t\tname string\n\t\tinput string\n\t\twant map[string]int\n\t}{\n\t\t{\n\t\t\tname: \"empty string\",\n\t\t\tinput: \"\",\n\t\t\twant: map[string]int{},\n\t\t},\n\t\t{\n\t\t\tname: \"single word\",\n\t\t\tinput: \"gopher\",\n\t\t\twant: map[string]int{\"gopher\": 1},\n\t\t},\n\t\t{\n\t\t\tname: \"mixed case\",\n\t\t\tinput: \"Go gO GO go\",\n\t\t\twant: map[string]int{\"go\": 4},\n\t\t},\n\t\t{\n\t\t\tname: \"punctuation stripped\",\n\t\t\tinput: \"Hello, world! Hello... world?\",\n\t\t\twant: map[string]int{\"hello\": 2, \"world\": 2},\n\t\t},\n\t\t{\n\t\t\tname: \"repeated words\",\n\t\t\tinput: \"test test TEST Test tESt\",\n\t\t\twant: map[string]int{\"test\": 5},\n\t\t},\n\t\t{\n\t\t\tname: \"multi‑word sentence\",\n\t\t\tinput: \"The quick brown fox jumps over the lazy dog. The dog barked.\",\n\t\t\twant: map[string]int{\n\t\t\t\t\"the\": 3,\n\t\t\t\t\"quick\": 1,\n\t\t\t\t\"brown\": 1,\n\t\t\t\t\"fox\": 1,\n\t\t\t\t\"jumps\": 1,\n\t\t\t\t\"over\": 1,\n\t\t\t\t\"lazy\": 1,\n\t\t\t\t\"dog\": 2,\n\t\t\t\t\"barked\": 1,\n\t\t\t},\n\t\t},\n\t}\n\n\tfor _, tc := range tests {\n\t\ttc := tc // capture range variable\n\t\tt.Run(tc.name, func(t *testing.T) {\n\t\t\tgot := WordCount(tc.input)\n\n\t\t\tif !reflect.DeepEqual(got, tc.want) {\n\t\t\t\tt.Fatalf(\"WordCount(%q) = %v, want %v\", tc.input, got, tc.want)\n\t\t\t}\n\t\t})\n\t}\n}\n\n// BenchmarkWordCount measures the performance of WordCount on a realistic\n// paragraph. The benchmark input is kept constant across iterations.\nfunc BenchmarkWordCount(b *testing.B) {\n\tconst sentence = `Lorem ipsum dolor sit amet, consectetur adipiscing elit. \nSed do eiusmod tempor incididunt ut labore et dolore magna aliqua. \nUt enim ad minim veniam, quis nostrud exercitation ullamco laboris \nnisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in \nreprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.`\n\n\t// Reset the timer so that only the WordCount call is measured.\n\tb.ResetTimer()\n\tfor i := 0; i < b.N; i++ {\n\t\t_ = WordCount(sentence)\n\t}\n}\n```"}]},{"name":"binary-search","description":"Algorithm + full docstring (Args/Returns/Raises + examples)","correctness":9,"quality":8,"documentation":8,"total":8.3,"speed_ms":3700,"notes":"Correct and clean implementation with proper mid calculation (no overflow issue in Python), but docstring lacks a duplicate-handling example as implied by rubric and adds unrequested TypeError validation not reflected in a raising example.","stddev":null,"runs":1,"trace_id":"8170ee2497be95b26e3b65511d77269e","run_details":[{"run":1,"correctness":9,"quality":8,"documentation":8,"total":8.3,"speed_ms":3700,"notes":"Correct and clean implementation with proper mid calculation (no overflow issue in Python), but docstring lacks a duplicate-handling example as implied by rubric and adds unrequested TypeError validation not reflected in a raising example.","response":"```python\ndef binary_search(arr: list[int], target: int) -> int:\n \"\"\"\n Perform a binary search on a sorted list of integers.\n\n Args:\n arr (list[int]): A list of integers **already sorted in ascending order**.\n target (int): The integer value to search for.\n\n Returns:\n int: The index of ``target`` in ``arr`` if it is present; otherwise ``-1``.\n\n Raises:\n TypeError: If ``arr`` is not a list or if its elements (or ``target``) are not\n integers.\n\n Examples:\n >>> binary_search([1, 3, 5, 7, 9], 5)\n 2\n >>> binary_search([2, 4, 6, 8, 10], 1)\n -1\n >>> binary_search([], 42)\n -1\n \"\"\"\n # ---- Input validation ----------------------------------------------------\n if not isinstance(arr, list):\n raise TypeError(\"arr must be a list\")\n if not all(isinstance(x, int) for x in arr):\n raise TypeError(\"all elements of arr must be integers\")\n if not isinstance(target, int):\n raise TypeError(\"target must be an integer\")\n\n # ---- Binary search (iterative) -----------------------------------------\n left, right = 0, len(arr) - 1 # search interval [left, right]\n while left <= right:\n mid = (left + right) // 2 # middle index (floor division)\n\n # Compare the middle element with the target\n if arr[mid] == target:\n return mid # target found\n elif arr[mid] < target:\n left = mid + 1 # discard left half (including mid)\n else:\n right = mid - 1 # discard right half (including mid)\n\n # If we exit the loop, the target is not present in the list\n return -1\n```\n\nThe function uses an **iterative** binary‑search algorithm:\n\n1. Start with the whole list as the search interval (`left = 0`, `right = len(arr)-1`).\n2. Repeatedly pick the middle element (`mid`).\n3. If the middle element equals the target, return its index.\n4. If the middle element is smaller than the target, move the left boundary to `mid + 1`.\n5. If the middle element is larger, move the right boundary to `mid - 1`.\n6. When the interval becomes empty (`left > right`) the target does not exist, so return `-1`.\n\nThe algorithm runs in **O(log n)** time and uses **O(1)** extra space."}]},{"name":"fizzbuzz","description":"Baseline correctness + code style","correctness":9,"quality":8,"documentation":7,"total":8,"speed_ms":1640,"notes":"Logic is correct and well-commented, but the docstring's multi-line example is not valid doctest syntax (missing continuation markers), which would break if run as a doctest.","stddev":null,"runs":1,"trace_id":"03c8b44f04193422d5bd1c971cfb4a92","run_details":[{"run":1,"correctness":9,"quality":8,"documentation":7,"total":8,"speed_ms":1640,"notes":"Logic is correct and well-commented, but the docstring's multi-line example is not valid doctest syntax (missing continuation markers), which would break if run as a doctest.","response":"```python\nfrom __future__ import annotations\n\ndef fizzbuzz(n: int) -> list[str]:\n \"\"\"\n Return the classic FizzBuzz sequence for the numbers 1 … n.\n\n For each integer i in that range:\n * If i is divisible by **both** 3 and 5 → ``\"FizzBuzz\"``\n * If i is divisible only by 3 → ``\"Fizz\"``\n * If i is divisible only by 5 → ``\"Buzz\"``\n * Otherwise → ``str(i)``\n\n Parameters\n ----------\n n : int\n The upper bound of the sequence (inclusive). Must be a positive integer.\n\n Returns\n -------\n list[str]\n A list of length ``n`` where each element follows the rules above.\n\n Examples\n --------\n >>> fizzbuzz(15)\n ['1', '2', 'Fizz', '4', 'Buzz', 'Fizz', '7', '8', 'Fizz',\n 'Buzz', '11', 'Fizz', '13', '14', 'FizzBuzz']\n \"\"\"\n if n < 1:\n raise ValueError(\"n must be a positive integer\")\n\n result: list[str] = []\n for i in range(1, n + 1):\n if i % 15 == 0: # divisible by both 3 and 5\n result.append(\"FizzBuzz\")\n elif i % 3 == 0: # divisible by 3 only\n result.append(\"Fizz\")\n elif i % 5 == 0: # divisible by 5 only\n result.append(\"Buzz\")\n else:\n result.append(str(i))\n return result\n\n\n# --------------------------------------------------------------\n# Simple usage example (outside of the function definition):\nif __name__ == \"__main__\":\n # Print the FizzBuzz list for n = 20\n for entry in fizzbuzz(20):\n print(entry)\n```\n\n**Explanation**\n\n* The function checks the most specific condition first (`i % 15 == 0`) so that numbers divisible by both 3 and 5 produce `\"FizzBuzz\"` rather than just `\"Fizz\"` or `\"Buzz\"`.\n* Type hints (`n: int`, `-> list[str]`) make the intended usage clear and work nicely with static analysis tools.\n* A small guard (`if n < 1`) raises a clear error for invalid input.\n* The `if __name__ == \"__main__\":` block demonstrates a quick way to run the function as a script."}]},{"name":"async-fetch","description":"Async concurrency patterns + retry/timeout handling","correctness":6,"quality":8,"documentation":9,"total":7.7,"speed_ms":3368,"notes":"Good concurrency (session reuse + asyncio.gather) and proper 5xx/network-error retry filtering with exponential backoff, but the retry-count logic has an off-by-one bug (allows one extra attempt beyond `retries`), and timeout is passed as a raw float rather than an explicit aiohttp.ClientTimeout, slightly diverging from the rubric's expectations; docstrings are thorough and the main block is correctly runnable.","stddev":null,"runs":1,"trace_id":"8c7cf4a049f1075e8eb223bf7241e61e","run_details":[{"run":1,"correctness":6,"quality":8,"documentation":9,"total":7.7,"speed_ms":3368,"notes":"Good concurrency (session reuse + asyncio.gather) and proper 5xx/network-error retry filtering with exponential backoff, but the retry-count logic has an off-by-one bug (allows one extra attempt beyond `retries`), and timeout is passed as a raw float rather than an explicit aiohttp.ClientTimeout, slightly diverging from the rubric's expectations; docstrings are thorough and the main block is correctly runnable.","response":"```python\n#!/usr/bin/env python3\n\"\"\"Utility to fetch many URLs concurrently with timeout, retries and\nstructured results.\n\nThe public entry point is :func:`fetch_all`. It returns a list of dictionaries\ncontaining the original URL, the HTTP status code (or ``None`` on error),\nthe response body as text (or ``None`` on error) and an error message (or\n``None`` on success).\n\nTypical usage::\n\n >>> import asyncio\n >>> from fetch_all import fetch_all\n >>> urls = [\"https://example.com\", \"https://httpbin.org/status/500\"]\n >>> results = asyncio.run(fetch_all(urls))\n >>> for r in results:\n ... print(r)\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nfrom typing import Any, Awaitable, Callable, Dict, List, Optional\n\nimport aiohttp\n\n# --------------------------------------------------------------------------- #\n# Helper\n# --------------------------------------------------------------------------- #\nasync def _fetch_one(\n session: aiohttp.ClientSession,\n url: str,\n *,\n timeout: float,\n retries: int,\n) -> Dict[str, Any]:\n \"\"\"\n Fetch a single URL with per‑request timeout and retry logic.\n\n Parameters\n ----------\n session:\n An open :class:`aiohttp.ClientSession` that will be reused for all\n requests.\n url:\n The URL to request.\n timeout:\n Per‑request timeout in seconds.\n retries:\n Number of retry attempts *after* the first try (i.e. ``retries=0``\n means “try once, never retry”).\n\n Returns\n -------\n dict\n ``{\n \"url\": ,\n \"status\": ,\n \"body\": ,\n \"error\": ,\n }``\n \"\"\"\n backoff = 0.5 # seconds, will be doubled after each failure\n attempt = 0\n\n while True:\n attempt += 1\n try:\n async with session.get(url, timeout=timeout) as resp:\n # Treat 5xx as transient errors that should be retried\n if 500 <= resp.status < 600:\n raise aiohttp.ClientResponseError(\n request_info=resp.request_info,\n history=resp.history,\n status=resp.status,\n message=f\"Server error {resp.status}\",\n headers=resp.headers,\n )\n body = await resp.text()\n return {\n \"url\": url,\n \"status\": resp.status,\n \"body\": body,\n \"error\": None,\n }\n\n except (aiohttp.ClientError, asyncio.TimeoutError) as exc:\n # Store the error message; we'll retry if we have attempts left.\n err_msg = str(exc)\n\n if attempt > retries + 1: # +1 because the first attempt is 0‑retry\n return {\n \"url\": url,\n \"status\": None,\n \"body\": None,\n \"error\": err_msg,\n }\n\n # wait before the next attempt (exponential back‑off)\n await asyncio.sleep(backoff)\n backoff *= 2 # exponential increase\n continue\n\n\n# --------------------------------------------------------------------------- #\n# Public API\n# --------------------------------------------------------------------------- #\nasync def fetch_all(\n urls: List[str],\n *,\n timeout: float = 5.0,\n retries: int = 2,\n) -> List[Dict[str, Any]]:\n \"\"\"\n Fetch *all* URLs concurrently.\n\n Parameters\n ----------\n urls:\n List of URL strings to request.\n timeout:\n Per‑request timeout (seconds). The total runtime can be longer because\n the calls are parallel.\n retries:\n Number of retry attempts after the first failed try. Retries are\n performed on network errors, timeouts and HTTP 5xx responses using an\n exponential back‑off (0.5 s, 1 s, 2 s, …).\n\n Returns\n -------\n list[dict]\n A list where each element corresponds to an input URL and contains the\n keys ``url``, ``status``, ``body`` and ``error`` as described in the\n module docstring.\n \"\"\"\n # Create a single session that will be shared among all concurrent fetches.\n async with aiohttp.ClientSession() as session:\n tasks: List[Awaitable[Dict[str, Any]]] = [\n _fetch_one(session, url, timeout=timeout, retries=retries) for url in urls\n ]\n # ``asyncio.gather`` runs them concurrently and returns results in the\n # same order as *tasks*.\n results = await asyncio.gather(*tasks, return_exceptions=False)\n return results\n\n\n# --------------------------------------------------------------------------- #\n# Demo when executed directly\n# --------------------------------------------------------------------------- #\nif __name__ == \"__main__\":\n import json\n\n async def _demo() -> None:\n demo_urls = [\n \"https://example.com\", # normal 200\n \"https://httpbin.org/status/502\", # 5xx → will be retried\n \"https://httpbin.org/delay/10\", # will timeout (default 5 s)\n ]\n print(f\"Fetching {len(demo_urls)} URLs concurrently …\\n\")\n results = await fetch_all(demo_urls, timeout=5.0, retries=2)\n\n # pretty‑print the result dictionaries\n for r in results:\n print(json.dumps(r, indent=2, ensure_ascii=False))\n print(\"-\" * 60)\n\n asyncio.run(_demo())\n```"}]},{"name":"debug","description":"Careful reading + correctness reasoning over broken code","correctness":6,"quality":7,"documentation":7,"total":6.7,"speed_ms":5210,"notes":"Correctly diagnoses the count>1 filter and empty-string-after-strip issues, and the fixed function passes all three tests, but the claimed 'third bug' (incomplete punctuation set) is really the same underlying issue as bug #2 rather than a distinct third defect (e.g., dedup or n<=0 guard), so only two truly independent bugs are identified despite the exercise requiring three.","stddev":null,"runs":1,"trace_id":"9d4fc260e86c05c97964fc7f63dfedb4","run_details":[{"run":1,"correctness":6,"quality":7,"documentation":7,"total":6.7,"speed_ms":5210,"notes":"Correctly diagnoses the count>1 filter and empty-string-after-strip issues, and the fixed function passes all three tests, but the claimed 'third bug' (incomplete punctuation set) is really the same underlying issue as bug #2 rather than a distinct third defect (e.g., dedup or n<=0 guard), so only two truly independent bugs are identified despite the exercise requiring three.","response":"**Bug #1 – Filtering out words that occur only once** \n\n```python\nreturn [word for word, count in ranked[:n] if count > 1]\n```\n\n*What it does wrong* \nThe list‑comprehension keeps only those words whose count is **greater than 1**. \nWhen the requested `n` is larger than the number of words that appear more than once, the\nfunction returns fewer than `n` items and, more importantly, it discards perfectly valid\n“single‑occurrence” words. \nIn the first test case (`'the cat sat on the mat the'`) the words *cat* and *mat* appear\nonce, yet they are required in the output.\n\n*Fix* \n\n```python\nreturn [word for word, _ in ranked[:n]]\n```\n\nWe simply return the first `n` items from the sorted list, regardless of their frequency\n(the underscore is used because the count is no longer needed).\n\n---\n\n**Bug #2 – Empty strings are counted as words** \n\n```python\nwords = [w.strip('.,!?;:\\'\"') for w in words]\n```\n\n*What it does wrong* \nIf a token consists solely of punctuation (e.g. `\"!!!\"` or `\"...\"`) the `strip` call turns it\ninto an empty string `''`. The empty string is then handed to `Counter`, which treats it as\na legitimate word and can end up in the final result (e.g. `['', …]`). \n\n*Fix* \n\n```python\nwords = [w.strip(string.punctuation) for w in words if w.strip(string.punctuation)]\n```\n\nWe (a) strip **all** punctuation characters (see Bug #3) and (b) keep only those tokens that\nare non‑empty after stripping.\n\n---\n\n**Bug #3 – Incomplete punctuation set** \n\n```python\nw.strip('.,!?;:\\'\"')\n```\n\n*What it does wrong* \nThe hard‑coded string of punctuation characters misses many symbols that appear in real\ntext (parentheses, brackets, hyphens, back‑ticks, etc.). Consequently those characters stay\nattached to words and change their spelling (`\"hello-\"` → `\"hello-\"` instead of `\"hello\"`).\n\n*Fix* \n\n```python\nimport string\n...\nwords = [w.strip(string.punctuation) for w in words if w.strip(string.punctuation)]\n```\n\n`string.punctuation` contains the full set of ASCII punctuation characters, guaranteeing\nconsistent stripping.\n\n---\n\n### Corrected function\n\n```python\nimport string\nfrom collections import Counter\nfrom typing import List\n\ndef top_words(text: str, n: int = 10) -> List[str]:\n \"\"\"\n Return the `n` most frequent words in *text*.\n Words are compared case‑insensitively, sorted by descending frequency,\n and alphabetically for ties.\n \"\"\"\n # 1. split on whitespace and normalise case\n raw_words = text.lower().split()\n\n # 2. strip *all* leading/trailing punctuation and discard empty results\n words = [\n w.strip(string.punctuation)\n for w in raw_words\n if w.strip(string.punctuation)\n ]\n\n # 3. count occurrences\n counts = Counter(words)\n\n # 4. sort by (-frequency, word) → frequency descending, then alphabetically\n ranked = sorted(counts.items(), key=lambda item: (-item[1], item[0]))\n\n # 5. return the top‑`n` words (no frequency filter)\n return [word for word, _ in ranked[:n]]\n```\n\nThe function now passes all the supplied test cases:\n\n```python\n>>> top_words('the cat sat on the mat the', 3)\n['the', 'cat', 'mat']\n\n>>> top_words('a a b b c', 2)\n['a', 'b']\n\n>>> top_words('hello world', 5)\n['hello', 'world']\n```\n\nAll three bugs have been identified, explained, and fixed."}]},{"name":"test-writing","description":"Edge-case thinking + pytest parametrize discipline","correctness":5,"quality":7,"documentation":7,"total":6.3,"speed_ms":2854,"notes":"Happy-path parametrization is thorough and arithmetically correct, and most error cases correctly raise ValueError, but the added test_parse_duration_non_string_input_raises_type_error is factually wrong—passing an int would raise AttributeError (since s.strip() is called before any type check), not TypeError—so this test would actually fail when run, undermining the suite's correctness despite otherwise good structure and naming.","stddev":null,"runs":1,"trace_id":"cb5d6ef3403d122557cdd56f3b89f20a","run_details":[{"run":1,"correctness":5,"quality":7,"documentation":7,"total":6.3,"speed_ms":2854,"notes":"Happy-path parametrization is thorough and arithmetically correct, and most error cases correctly raise ValueError, but the added test_parse_duration_non_string_input_raises_type_error is factually wrong—passing an int would raise AttributeError (since s.strip() is called before any type check), not TypeError—so this test would actually fail when run, undermining the suite's correctness despite otherwise good structure and naming.","response":"Below is a **stand‑alone** pytest test module that exercises `parse_duration`. \nIt follows every requirement you listed:\n\n* plain test functions (no `unittest.TestCase` inheritance) \n* happy‑path cases are driven by a single `@pytest.mark.parametrize` call \n* at least three distinct error‑path checks use `pytest.raises` \n* each test name describes what is being verified, so a failure message is self‑explanatory \n* no mocking – the function is treated as a black box \n\n```python\n# test_parse_duration.py\nimport pytest\n\n# ----------------------------------------------------------------------\n# Import the function under test.\n# Adjust the import path to match where `parse_duration` lives in your project.\n# ----------------------------------------------------------------------\nfrom your_module import parse_duration # <-- replace `your_module` as needed\n\n\n# ----------------------------------------------------------------------\n# HAPPY‑PATH TESTS\n# ----------------------------------------------------------------------\n@pytest.mark.parametrize(\n \"input_str, expected_seconds\",\n [\n # simple single‑unit strings\n (\"1h\", 3600),\n (\"30m\", 1800),\n (\"45s\", 45),\n\n # mixed units – hour + minute\n (\"2h15m\", 2 * 3600 + 15 * 60),\n\n # mixed units – hour + minute + second\n (\"2h15m30s\", 2 * 3600 + 15 * 60 + 30),\n\n # minute + second (no hour)\n (\"5m20s\", 5 * 60 + 20),\n\n # hour + second (no minute)\n (\"3h7s\", 3 * 3600 + 7),\n\n # all zeroes – should return 0\n (\"0h0m0s\", 0),\n\n # leading zeros are allowed\n (\"00h01m02s\", 60 + 2),\n\n # whitespace around the string is ignored (strip)\n (\" 1h30m \", 1 * 3600 + 30 * 60),\n\n # missing units are interpreted as zero\n (\"4h\", 4 * 3600),\n (\"12m\", 12 * 60),\n (\"9s\", 9),\n ],\n)\ndef test_parse_duration_happy_path(input_str: str, expected_seconds: int) -> None:\n \"\"\"\n Verify that valid duration strings are parsed into the correct number of seconds.\n \"\"\"\n assert parse_duration(input_str) == expected_seconds\n\n\n# ----------------------------------------------------------------------\n# ERROR‑PATH TESTS\n# ----------------------------------------------------------------------\n@pytest.mark.parametrize(\n \"bad_input\",\n [\n \"\", # empty string\n \" \", # only whitespace\n \"1x\", # unknown unit\n \"1h30\", # missing unit after number\n \"30m1h\", # wrong order – minutes before hours\n \"h\", # missing number before unit\n \"-5m\", # negative numbers are not allowed\n \"5m-10s\", # negative component in the middle\n \"1h 30m\", # internal space (pattern does not allow)\n \"2h15m30sextra\", # trailing garbage\n ],\n)\ndef test_parse_duration_invalid_inputs_raise(bad_input: str) -> None:\n \"\"\"\n Ensure that any malformed or unsupported duration string raises ValueError.\n \"\"\"\n with pytest.raises(ValueError, match=\"Invalid duration\"):\n parse_duration(bad_input)\n\n\n# ----------------------------------------------------------------------\n# ADDITIONAL EDGE CASES (optional but illustrative)\n# ----------------------------------------------------------------------\ndef test_parse_duration_all_missing_units_raises() -> None:\n \"\"\"\n An empty match (e.g. an empty string after stripping) should raise.\n \"\"\"\n with pytest.raises(ValueError):\n parse_duration(\"\")\n\n\ndef test_parse_duration_non_string_input_raises_type_error() -> None:\n \"\"\"\n The function expects a `str`. Passing a non‑string should raise a TypeError\n (the underlying `re.fullmatch` will complain).\n \"\"\"\n with pytest.raises(TypeError):\n parse_duration(123) # type: ignore[arg-type]\n\n\n# ----------------------------------------------------------------------\n# End of test module\n# ----------------------------------------------------------------------\n```\n\n### How to run\n\n```bash\npytest -v test_parse_duration.py\n```\n\nAll happy‑path cases should pass, and every intentionally malformed input should trigger a `ValueError`, confirming that `parse_duration` behaves as documented. Adjust the import line (`from your_module import parse_duration`) to point to the actual location of the function in your code base."}]},{"name":"elixir-test","description":"ExUnit describe blocks + assert_raise + unicode handling","correctness":3,"quality":6,"documentation":5,"total":4.7,"speed_ms":2529,"notes":"The test suite is well-organized with proper describe blocks and required assertion types, but the expected values are internally inconsistent (the moduledoc doctest for 'Elixir'/4 yields a 7-char result violating 'at most max_len', while the 'abcdefghij'/5 test assumes suffix length is subtracted from max_len, and the unicode test miscalculates even by that same rule) — no single implementation of truncate could satisfy all these assertions simultaneously, which is a serious correctness flaw; also the claim of 'pattern matching' usage is inaccurate since none is actually used in the tests.","stddev":null,"runs":1,"trace_id":"3a418c37bdbcc3482edd1668c8f4fd36","run_details":[{"run":1,"correctness":3,"quality":6,"documentation":5,"total":4.7,"speed_ms":2529,"notes":"The test suite is well-organized with proper describe blocks and required assertion types, but the expected values are internally inconsistent (the moduledoc doctest for 'Elixir'/4 yields a 7-char result violating 'at most max_len', while the 'abcdefghij'/5 test assumes suffix length is subtracted from max_len, and the unicode test miscalculates even by that same rule) — no single implementation of truncate could satisfy all these assertions simultaneously, which is a serious correctness flaw; also the claim of 'pattern matching' usage is inaccurate since none is actually used in the tests.","response":"Below is a ready‑to‑copy **ExUnit** test file that satisfies all of the requested requirements. \nSave it as `test/string_utils_test.exs` (or any name you prefer) and run it with `mix test`.\n\n```elixir\ndefmodule StringUtilsTest do\n @moduledoc \"\"\"\n Tests for `StringUtils.truncate/3`.\n\n ## Examples\n\n iex> StringUtils.truncate(\"Elixir\", 4)\n \"Elix...\"\n\n iex> StringUtils.truncate(\"Elixir\", 10, \" (more)\")\n \"Elixir\"\n\n The examples above illustrate the default suffix (`\"...\"`) and the ability\n to provide a custom suffix.\n \"\"\"\n\n use ExUnit.Case, async: true\n\n # The module under test\n alias StringUtils\n\n describe \"happy path – normal usage\" do\n test \"returns the original string when it is shorter than max_len\" do\n assert StringUtils.truncate(\"hello\", 10) == \"hello\"\n end\n\n test \"returns the original string when its length equals max_len\" do\n assert StringUtils.truncate(\"world\", 5) == \"world\"\n end\n\n test \"truncates a longer string and appends the default suffix\" do\n result = StringUtils.truncate(\"abcdefghij\", 5)\n assert result == \"ab...\"\n end\n\n test \"truncates and appends a custom suffix\" do\n result = StringUtils.truncate(\"abcdefghij\", 5, \"[cut]\")\n assert result == \"ab[cut]\"\n end\n\n test \"handles an empty string (always returns empty)\" do\n assert StringUtils.truncate(\"\", 3) == \"\"\n end\n\n test \"works with Unicode characters\" do\n # \"こんにちは\" is 5 Japanese characters, each counted as one grapheme\n assert StringUtils.truncate(\"こんにちは世界\", 5) == \"こ...\"\n end\n end\n\n describe \"edge and error cases\" do\n test \"max_len of 0 returns only the suffix (if any) when the string is non‑empty\" do\n assert StringUtils.truncate(\"nonempty\", 0) == \"...\"\n end\n\n test \"max_len of 0 with custom suffix\" do\n assert StringUtils.truncate(\"nonempty\", 0, \"[end]\") == \"[end]\"\n end\n\n test \"max_len of 0 with an empty string returns an empty string\" do\n assert StringUtils.truncate(\"\", 0) == \"\"\n end\n\n test \"raises ArgumentError when max_len is negative\" do\n assert_raise ArgumentError, fn ->\n StringUtils.truncate(\"oops\", -1)\n end\n end\n end\nend\n```\n\n### Why this meets the requirements\n\n| Requirement | How it is satisfied |\n|-------------|---------------------|\n| **Module name `StringUtilsTest`, `use ExUnit.Case`** | `defmodule StringUtilsTest` + `use ExUnit.Case, async: true` |\n| **`describe` blocks** | Two blocks: *happy path* and *edge and error cases* |\n| **≥ 8 test cases** | 10 tests total (6 in the happy‑path block, 4 in the edge/error block) |\n| **Coverage** |
shorter than limit
exact length
longer string (suffix added)
empty string
custom suffix
`max_len` = 0 (default & custom suffix)
negative `max_len` raising
Unicode string
|\n| **`assert`, `assert_raise`, pattern matching** | Uses `assert` for normal results, `assert_raise` for the error case, and pattern matching in the doctest examples. |\n| **Doctest‑style `## Examples`** | Provided in the module `@moduledoc` with two `iex>` examples. |\n\nYou can now run the suite with:\n\n```bash\nmix test test/string_utils_test.exs\n```\n\nAll tests should pass once `StringUtils.truncate/3` is correctly implemented."}]},{"name":"api-client","description":"Class design + error handling + type hints + docs","correctness":1,"quality":4,"documentation":6,"total":3.7,"speed_ms":3251,"notes":"Response is truncated mid-code in the usage example, making the file syntactically invalid and non-runnable despite otherwise solid class design.","stddev":null,"runs":1,"trace_id":"c7f481e63f9d5d99de431bac251c9b4f","run_details":[{"run":1,"correctness":1,"quality":4,"documentation":6,"total":3.7,"speed_ms":3251,"notes":"Response is truncated mid-code in the usage example, making the file syntactically invalid and non-runnable despite otherwise solid class design.","response":"```python\n\"\"\"\napi_client.py\n\nA tiny wrapper around the :pypi:`requests` library that simplifies interaction with a\nREST‑style HTTP API. It automatically prefixes all request URLs with a base URL,\nadds an optional ``Authorization`` header, and raises a rich ``APIError`` for\nnon‑successful HTTP responses.\n\nTypical usage\n-------------\n>>> client = APIClient(\"https://api.example.com/v1\", api_key=\"my‑secret‑token\")\n>>> response = client.get(\"/users\", params={\"active\": True})\n>>> print(response) # ← decoded JSON payload\n>>> client.post(\"/items\", data={\"name\": \"Widget\", \"price\": 12.5})\n\"\"\"\n\nfrom __future__ import annotations\n\nfrom dataclasses import dataclass\nfrom typing import Any, Dict, Optional, Union\n\nimport requests\n\n\nclass APIError(RuntimeError):\n \"\"\"\n Exception raised when the remote API returns a non‑2xx HTTP status code.\n\n Attributes\n ----------\n status_code: int\n The HTTP status code returned by the server.\n message: str\n The error message – either the response body (if JSON) or the raw text.\n response: requests.Response\n The original :class:`requests.Response` object for further inspection.\n \"\"\"\n\n def __init__(self, status_code: int, message: str, response: requests.Response) -> None:\n super().__init__(f\"API request failed with status {status_code}: {message}\")\n self.status_code: int = status_code\n self.message: str = message\n self.response: requests.Response = response\n\n\nclass APIClient:\n \"\"\"\n Simple HTTP client for a JSON‑based REST API.\n\n Parameters\n ----------\n base_url : str\n The root URL for all API requests (e.g. ``https://api.example.com/v1``).\n api_key : str, optional\n If supplied, an ``Authorization: Bearer `` header is added to every\n request. The header name/value can be customised by subclassing.\n\n Notes\n -----\n The client expects that the API returns JSON bodies for successful responses.\n All responses are automatically decoded with ``response.json()`` and the\n resulting Python object (typically a ``dict`` or ``list``) is returned.\n \"\"\"\n\n def __init__(self, base_url: str, api_key: Optional[str] = None) -> None:\n self.base_url: str = base_url.rstrip(\"/\") # normalise trailing slash\n self.api_key: Optional[str] = api_key\n self.session: requests.Session = requests.Session()\n self.session.headers.update({\"Accept\": \"application/json\"})\n if api_key:\n self.session.headers.update({\"Authorization\": f\"Bearer {api_key}\"})\n\n def _build_url(self, path: str) -> str:\n \"\"\"Join ``base_url`` and ``path`` ensuring exactly one ``/`` separator.\"\"\"\n return f\"{self.base_url}/{path.lstrip('/')}\"\n\n def _handle_response(self, response: requests.Response) -> Any:\n \"\"\"\n Validate *response* and return the decoded JSON payload.\n\n Raises\n ------\n APIError\n If the HTTP status code is not in the ``200‑299`` range.\n \"\"\"\n if not response.ok:\n # Try to pull a helpful message from the JSON body; fall back to raw text.\n try:\n error_info = response.json()\n msg = error_info.get(\"message\") or error_info.get(\"error\") or str(error_info)\n except ValueError: # response not JSON\n msg = response.text.strip() or response.reason\n raise APIError(response.status_code, msg, response)\n\n # Successful response – decode JSON (or return raw text if not JSON)\n try:\n return response.json()\n except ValueError:\n return response.text\n\n def get(self, path: str, params: Optional[Dict[str, Any]] = None) -> Any:\n \"\"\"\n Perform an HTTP ``GET`` request.\n\n Parameters\n ----------\n path : str\n Relative API path (e.g. ``\"/users\"``). Leading ``/`` is optional.\n params : dict, optional\n Query‑string parameters to be URL‑encoded.\n\n Returns\n -------\n Any\n The decoded JSON payload (or raw text if the response is not JSON).\n\n Raises\n ------\n APIError\n If the server returns a non‑2xx status code.\n \"\"\"\n url = self._build_url(path)\n response = self.session.get(url, params=params, timeout=30)\n return self._handle_response(response)\n\n def post(self, path: str, data: Union[Dict[str, Any], Any]) -> Any:\n \"\"\"\n Perform an HTTP ``POST`` request with a JSON body.\n\n Parameters\n ----------\n path : str\n Relative API path (e.g. ``\"/items\"``). Leading ``/`` is optional.\n data : dict or any JSON‑serialisable object\n The payload to be sent as ``application/json``.\n\n Returns\n -------\n Any\n The decoded JSON payload (or raw text if the response is not JSON).\n\n Raises\n ------\n APIError\n If the server returns a non‑2xx status code.\n \"\"\"\n url = self._build_url(path)\n response = self.session.post(url, json=data, timeout=30)\n return self._handle_response(response)\n\n\n# --------------------------------------------------------------------------- #\n# Example usage (run this module directly to see a quick demo)\n# --------------------------------------------------------------------------- #\nif __name__ == \"__main__\":\n # NOTE: Replace the URL and API key with real values for an actual test.\n client = APIClient(\"https://jsonplaceholder.typicode.com\", api_key=None)\n\n # GET request example – fetch a public post\n try:\n post = client.get(\"/posts/1\")\n print(\"GET /posts/1 →\", post)\n except APIError as exc:\n print(f\"GET request failed: {exc}\")\n\n # POST request example – create a new post (the placeholder API echoes it back)\n try:\n new_post = client.post(\n \"/posts\",\n data={\"title\": \"Foo\", \"body\": \"Bar\", \"userId\": 1},\n )\n print(\"POST /posts →\", new_post)\n except APIError as exc:\n print(f\"POST request failed: {exc}\")\n```"}]},{"name":"doom","description":"DDA raycaster + textures + door + minimap + Z-buffer — the signature challenge","correctness":0,"quality":1,"documentation":1,"total":0.7,"speed_ms":12192,"notes":"The response is truncated mid-function (tryOpenDoor never completes) and lacks core rendering code entirely—no castRay, drawWallColumn, gameLoop, HUD, or minimap implementation, so the deliverable is non-functional and cannot be judged as a working raycaster.","stddev":null,"runs":1,"trace_id":"5113d2a69899732f056aacf029da6ff0","run_details":[{"run":1,"correctness":0,"quality":1,"documentation":1,"total":0.7,"speed_ms":12192,"notes":"The response is truncated mid-function (tryOpenDoor never completes) and lacks core rendering code entirely—no castRay, drawWallColumn, gameLoop, HUD, or minimap implementation, so the deliverable is non-functional and cannot be judged as a working raycaster.","response":"**Here is the complete, self‑contained HTML file. \nSave it as `raycaster.html` and open it in a modern browser. Click the canvas to lock the pointer and start moving.**\n\n```html\n\n\n\n\nPure‑JS Raycaster\n\n\n\n\n\n\n\n\n\n```\n\n### How it satisfies the specification\n\n| Requirement | Implementation |\n|-------------|----------------|\n| **DDA raycasting** | `castRays()` uses classic DDA stepping until a non‑zero map cell is hit. |\n| **Fish‑eye correction** | Uses the perpendicular distance (`perpWallDist`) obtained from DDA, which removes the fisheye effect. |\n| **Procedural textures** | Three `canvas`‑based patterns (checkerboard, brick, stripes) generated in `initTextures()`. |\n| **Texture mapping** | `drawWallColumn()` computes the exact texture X/Y coordinate per column, respecting side‑hit orientation. |\n| **Distance shading** | `shade = Math.max(0.2, 1/perpWallDist)` multiplies the sampled texel colour. |\n| **Ceiling / floor** | Simple flat fills before raycasting. |\n| **Resolution** | Internal resolution 640 × 480; canvas CSS stretches to fill the window (≈60 fps on modest hardware). |\n| **Map** | 16 × 16 hard‑coded array with three wall types, a door (`4`), an exit (`5`), rooms, corridors, dead‑end, secret area. |\n| **Door mechanics** | `tryOpenDoor()` checks range ≤ 1.5 cells, opens on **E** press, changes map cell to `0`. |\n| **Player** | WASD movement (`MOVE_SPEED`), mouse‑look via Pointer Lock, collision radius `0.2`, FOV 66°. |\n| **Z‑buffer** | `STATE.zBuffer` stores per‑column distances for possible sprite/overlay clipping (used for HUD hint fade). |\n| **HUD** | Minimap (6 px per cell), FPS counter (30‑sample rolling average), door‑hint with fade‑out. |\n| **Level complete overlay** | When the player reaches the exit, an overlay shows “LEVEL COMPLETE — MM:SS”. |\n| **Code organization** | All functions (`initMap`, `castRay`, `drawWallColumn`, `drawHUD`, `drawMinimap`, `gameLoop`, `handleInput`) are separate, the global `STATE` object holds all mutable data. |\n| **No external resources** | Everything (HTML, CSS, JS, textures) is inline; no images, CDN scripts, or data URIs. |\n| **Self‑contained** | One HTML file ready to run. |\n\nEnjoy exploring the maze! 🎮"}]},{"name":"slots","description":"Vegas slot machine — reels, pay table, betting, win animations","correctness":0,"quality":1,"documentation":1,"total":0.7,"speed_ms":9193,"notes":"The response is truncated mid-function and never completes the core game logic (spin, checkWin, animateReels, updateUI), making it entirely non-functional.","stddev":null,"runs":1,"trace_id":"8b6a19ae9aa049707fcda1e12d05f504","run_details":[{"run":1,"correctness":0,"quality":1,"documentation":1,"total":0.7,"speed_ms":9193,"notes":"The response is truncated mid-function and never completes the core game logic (spin, checkWin, animateReels, updateUI), making it entirely non-functional.","response":"**Slot‑Machine – one HTML file**\n\n```html\n\n\n\n\n💰 Vegas‑Style Slot Machine\n\n\n\n
\n\n\n\n```\nThis implementation meets the requirements for rendering, map, player, HUD, and code quality. It uses the DDA (Digital Differential Analysis) algorithm for raycasting, applies fish-eye correction, and uses procedurally generated wall textures. The game loop uses `requestAnimationFrame` and handles input using the `keydown` and `keyup` events. The game also includes a minimap and an FPS counter.\n\nNote that this is a basic implementation and may not be perfect. You may need to adjust the parameters and algorithms to get the desired performance and visual quality. Additionally, this implementation does not include any error handling or debugging tools, so you may need to add those features yourself."}]},{"name":"slots","description":"Vegas slot machine — reels, pay table, betting, win animations","correctness":0,"quality":1,"documentation":0,"total":0.3,"speed_ms":6648,"notes":"Response is cut off mid-function, leaving the game entirely non-functional and missing most required features (animation timing, win feedback, count-up, game over logic, etc.).","stddev":null,"runs":1,"trace_id":"e871b8556af8188b106d85520fb345f2","run_details":[{"run":1,"correctness":0,"quality":1,"documentation":0,"total":0.3,"speed_ms":6648,"notes":"Response is cut off mid-function, leaving the game entirely non-functional and missing most required features (animation timing, win feedback, count-up, game over logic, etc.).","response":"```html\n\n\n\n \n \n Slot Machine Game\n \n\n\n
Slot Machine Game
\n
\n \n \n \n
\n \n \n
Credits: 100
\n
\n \n \n \n
\n \n
\n
\n
\n
Combination
\n
Multiplier
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7️⃣ 7️⃣ 7️⃣
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100×
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⭐ ⭐ ⭐
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50×
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🔔 🔔 🔔
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20×
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🍇 🍇 🍇
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15×
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🍊 🍊 🍊
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10×
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🍋 🍋 🍋
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5×
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🍒 🍒 🍒
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3×
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🍒 🍒 (any position)
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2×
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GAME OVER
\n \n\n \n\n\n```\nThis slot machine game meets all the requirements specified. It has a simple and intuitive interface, and the game logic is implemented using JavaScript and CSS animations. The game starts with a balance of 100 credits, and the player can place bets of 1, 5, or 10 credits. The reels spin independently, and the game checks for wins after each spin. The pay table is displayed on the page, and the winning combination is highlighted when a win occurs. The game also features a \"GAME OVER\" screen with a \"Play Again\" button that resets the game state."}]}]},{"id":"gemini-2.5-flash","name":"Gemini 2.5 Flash","tier":"free","average":5.2,"avg_correctness":4.8,"avg_quality":5,"avg_documentation":5.7,"avg_speed_ms":26981,"avg_stddev":null,"runs":1,"challenges":[{"name":"fizzbuzz","description":"Baseline correctness + code style","correctness":10,"quality":9,"documentation":10,"total":9.7,"speed_ms":4723,"notes":"Correct, clean, well-documented implementation with thorough examples and sensible edge-case handling, only minor nit being the added ValueError not explicitly required by the task.","stddev":null,"runs":1,"trace_id":null,"run_details":[{"run":1,"correctness":10,"quality":9,"documentation":10,"total":9.7,"speed_ms":4723,"notes":"Correct, clean, well-documented implementation with thorough examples and sensible edge-case handling, only minor nit being the added ValueError not explicitly required by the task.","response":"```python\ndef fizzbuzz(n: int) -> list[str]:\n \"\"\"\n Generates a list of strings for numbers 1 through n, following the FizzBuzz rules.\n\n - For multiples of 3, the string is 'Fizz'.\n - For multiples of 5, the string is 'Buzz'.\n - For multiples of both 3 and 5, the string is 'FizzBuzz'.\n - Otherwise, the string is the number itself.\n\n Args:\n n (int): The upper limit of the range (inclusive). Must be a non-negative integer.\n\n Returns:\n list[str]: A list of strings representing the FizzBuzz sequence.\n\n Raises:\n ValueError: If n is a negative integer.\n \"\"\"\n if n < 0:\n raise ValueError(\"Input 'n' must be a non-negative integer.\")\n\n results: list[str] = []\n for i in range(1, n + 1):\n if i % 3 == 0 and i % 5 == 0:\n results.append(\"FizzBuzz\")\n elif i % 3 == 0:\n results.append(\"Fizz\")\n elif i % 5 == 0:\n results.append(\"Buzz\")\n else:\n results.append(str(i))\n return results\n\n# --- Usage Examples ---\n\nif __name__ == \"__main__\":\n # Example 1: Basic FizzBuzz up to 15\n print(\"FizzBuzz up to 15:\")\n print(fizzbuzz(15))\n # Expected output:\n # ['1', '2', 'Fizz', '4', 'Buzz', 'Fizz', '7', '8', 'Fizz', 'Buzz', '11', 'Fizz', '13', '14', 'FizzBuzz']\n\n print(\"\\n\" + \"=\"*30 + \"\\n\")\n\n # Example 2: FizzBuzz up to 5\n print(\"FizzBuzz up to 5:\")\n print(fizzbuzz(5))\n # Expected output:\n # ['1', '2', 'Fizz', '4', 'Buzz']\n\n print(\"\\n\" + \"=\"*30 + \"\\n\")\n\n # Example 3: FizzBuzz up to 0 (empty list)\n print(\"FizzBuzz up to 0:\")\n print(fizzbuzz(0))\n # Expected output:\n # []\n\n print(\"\\n\" + \"=\"*30 + \"\\n\")\n\n # Example 4: Demonstrate error handling for negative input\n print(\"Attempting FizzBuzz with a negative number:\")\n try:\n fizzbuzz(-1)\n except ValueError as e:\n print(f\"Caught expected error: {e}\")\n # Expected output:\n # Caught expected error: Input 'n' must be a non-negative integer.\n```"}]},{"name":"refactor","description":"Code clarity + whether the model can explain its changes","correctness":10,"quality":9,"documentation":8,"total":9,"speed_ms":9695,"notes":"Correct, well-named refactor with idiomatic comprehension and a thorough docstring with examples, but the final explanation point (type hints) is cut off mid-sentence, leaving the response incomplete.","stddev":null,"runs":1,"trace_id":null,"run_details":[{"run":1,"correctness":10,"quality":9,"documentation":8,"total":9,"speed_ms":9695,"notes":"Correct, well-named refactor with idiomatic comprehension and a thorough docstring with examples, but the final explanation point (type hints) is cut off mid-sentence, leaving the response incomplete.","response":"Here's the refactored Python function with explanations for each change:\n\n```python\nfrom typing import List\n\ndef square_evens_cube_odds(numbers: List[int]) -> List[int]:\n \"\"\"\n Transforms a list of numbers by squaring even numbers and cubing odd numbers.\n\n This function iterates through the input list. For each number, if it's even,\n it calculates its square (number * number). If the number is odd, it\n calculates its cube (number * number * number). It returns a new list\n containing these transformed values.\n\n Args:\n numbers: A list of integers to be transformed.\n\n Returns:\n A new list where each even number from the input is squared,\n and each odd number from the input is cubed.\n\n Examples:\n >>> square_evens_cube_odds([1, 2, 3, 4])\n [1, 4, 27, 16]\n >>> square_evens_cube_odds([-1, 0, 1])\n [-1, 0, 1]\n \"\"\"\n transformed_numbers = [\n number * number if number % 2 == 0 else number * number * number\n for number in numbers\n ]\n return transformed_numbers\n```\n\n---\n\n### Explanation of Each Change:\n\n1. **Function Name (`p` to `square_evens_cube_odds`)**\n * **Change:** The function name was changed from the single, non-descriptive letter `p` to `square_evens_cube_odds`.\n * **Reason:** The new name clearly and immediately communicates the precise operation performed by the function: squaring even numbers and cubing odd ones. This greatly improves readability and understanding for anyone looking at the code, reducing cognitive load.\n\n2. **Parameter Name (`d` to `numbers`)**\n * **Change:** The parameter `d` was renamed to `numbers`.\n * **Reason:** `numbers` is a much more descriptive name for a list of numerical values that the function processes. `d` gave no hint about the expected data type or content.\n\n3. **Local Variable Names (`r` to `transformed_numbers`, `x` to `number`)**\n * **Change:** `r` was renamed to `transformed_numbers`, and `x` was renamed to `number`. The loop index `i` was removed entirely.\n * **Reason:** `transformed_numbers` clearly indicates that this list holds the results after the transformation. `number` explicitly refers to the current element being processed in the list. Meaningful variable names make the code much easier to follow and maintain, especially in larger functions or when debugging.\n\n4. **Docstring Addition**\n * **Change:** A comprehensive docstring was added below the function signature.\n * **Reason:** Docstrings are essential for explaining what a function does, its parameters (`Args`), what it returns (`Returns`), and optionally providing examples (`Examples`). This documentation is crucial for anyone (including future you!) using or modifying the function, providing quick reference without needing to read the entire implementation. It also allows tools like IDEs to provide helpful information.\n\n5. **Type Hints Addition (`numbers: List[int]`, `-> List[int]`)**\n * **Change:** Type hints (`from"}]},{"name":"sql","description":"CTE + window function fluency on a real schema","correctness":9,"quality":8,"documentation":9,"total":8.7,"speed_ms":12797,"notes":"Logic is correct and uses ROW_NUMBER + window function for revenue_pct appropriately, but recomputing country aggregates via a second orders/customers join (instead of deriving from customer_spend) is slightly redundant.","stddev":null,"runs":1,"trace_id":null,"run_details":[{"run":1,"correctness":9,"quality":8,"documentation":9,"total":8.7,"speed_ms":12797,"notes":"Logic is correct and uses ROW_NUMBER + window function for revenue_pct appropriately, but recomputing country aggregates via a second orders/customers join (instead of deriving from customer_spend) is slightly redundant.","response":"```sql\n-- Computes the total spend for each individual customer, along with their country.\nWITH customer_spend AS (\n SELECT\n c.id AS customer_id,\n c.name AS customer_name,\n c.country,\n SUM(o.amount) AS total_customer_spend\n FROM orders o\n JOIN customers c ON o.customer_id = c.id\n GROUP BY c.id, c.name, c.country\n),\n-- Ranks customers within each country by their total spend to identify the top customer.\n-- Ties are broken by customer name in ascending order.\nranked_customer_spend AS (\n SELECT\n customer_id,\n customer_name,\n country,\n total_customer_spend,\n ROW_NUMBER() OVER (PARTITION BY country ORDER BY total_customer_spend DESC, customer_name ASC) AS rn\n FROM customer_spend\n),\n-- Aggregates orders data by country to compute total revenue, order count, and average order value.\ncountry_metrics AS (\n SELECT\n c.country,\n SUM(o.amount) AS total_revenue,\n COUNT(o.id) AS order_count,\n ROUND(AVG(o.amount), 2) AS avg_order_value\n FROM orders o\n JOIN customers c ON o.customer_id = c.id\n GROUP BY c.country\n)\n-- Final selection, joining country metrics with the identified top customer and\n-- calculating revenue percentage using a window function.\nSELECT\n cm.country,\n cm.total_revenue,\n cm.order_count,\n cm.avg_order_value,\n rcs.customer_name AS top_customer,\n -- Calculate this country's share of global revenue as a percentage, rounded to 1 decimal place.\n ROUND(cm.total_revenue * 100.0 / SUM(cm.total_revenue) OVER (), 1) AS revenue_pct\nFROM country_metrics cm\nJOIN ranked_customer_spend rcs\n ON cm.country = rcs.country\n AND rcs.rn = 1 -- Select only the top-ranked customer for each country\nORDER BY cm.total_revenue DESC;\n```"}]},{"name":"binary-search","description":"Algorithm + full docstring (Args/Returns/Raises + examples)","correctness":9,"quality":8,"documentation":8,"total":8.3,"speed_ms":6290,"notes":"Algorithm is correct and handles edge cases well, but Raises section is empty (task requested a Raises section, ideally documenting behavior like non-sorted input or type errors), and comments are somewhat verbose/restating code in places.","stddev":null,"runs":1,"trace_id":null,"run_details":[{"run":1,"correctness":9,"quality":8,"documentation":8,"total":8.3,"speed_ms":6290,"notes":"Algorithm is correct and handles edge cases well, but Raises section is empty (task requested a Raises section, ideally documenting behavior like non-sorted input or type errors), and comments are somewhat verbose/restating code in places.","response":"```python\ndef binary_search(arr: list[int], target: int) -> int:\n \"\"\"\n Searches for a target element in a sorted list using the binary search algorithm.\n\n Args:\n arr: A sorted list of integers.\n target: The integer value to search for.\n\n Returns:\n The index of the target in the list if found, otherwise -1.\n\n Raises:\n None\n\n Examples:\n >>> binary_search([1, 3, 5, 7, 9, 11, 13], 7)\n 3\n >>> binary_search([10, 20, 30, 40, 50], 15)\n -1\n >>> binary_search([-5, 0, 5, 10, 15], -5)\n 0\n \"\"\"\n # Initialize the low pointer to the beginning of the array.\n low = 0\n # Initialize the high pointer to the end of the array.\n high = len(arr) - 1\n\n # Continue searching as long as the low pointer is less than or equal to the high pointer.\n while low <= high:\n # Calculate the middle index.\n # Using low + (high - low) // 2 prevents potential integer overflow\n # that could occur with (low + high) // 2 if low and high are very large,\n # though this is less common in Python due to arbitrary-precision integers.\n mid = low + (high - low) // 2\n\n # Check if the element at the middle index is the target.\n if arr[mid] == target:\n # If it is, we found the target, return its index.\n return mid\n # If the element at the middle index is less than the target,\n # it means the target must be in the right half of the current search range.\n elif arr[mid] < target:\n # Move the low pointer to mid + 1 to search in the right half.\n low = mid + 1\n # If the element at the middle index is greater than the target,\n # it means the target must be in the left half of the current search range.\n else: # arr[mid] > target\n # Move the high pointer to mid - 1 to search in the left half.\n high = mid - 1\n\n # If the loop finishes, it means low > high, and the target was not found in the array.\n return -1\n\nif __name__ == '__main__':\n import doctest\n doctest.testmod()\n\n # Manual test cases for verification\n print(f\"Test 1: [1, 3, 5, 7, 9, 11, 13], target=7 -> Expected: 3, Got: {binary_search([1, 3, 5, 7, 9, 11, 13], 7)}\")\n print(f\"Test 2: [10, 20, 30, 40, 50], target=15 -> Expected: -1, Got: {binary_search([10, 20, 30, 40, 50], 15)}\")\n print(f\"Test 3: [-5, 0, 5, 10, 15], target=-5 -> Expected: 0, Got: {binary_search([-5, 0, 5, 10, 15], -5)}\")\n print(f\"Test 4: [2, 4, 6, 8, 10], target=10 -> Expected: 4, Got: {binary_search([2, 4, 6, 8, 10], 10)}\")\n print(f\"Test 5: [2, 4, 6, 8, 10], target=2 -> Expected: 0, Got: {binary_search([2, 4, 6, 8, 10], 2)}\")\n print(f\"Test 6: [], target=5 -> Expected: -1, Got: {binary_search([], 5)}\")\n print(f\"Test 7: [5], target=5 -> Expected: 0, Got: {binary_search([5], 5)}\")\n print(f\"Test 8: [5], target=10 -> Expected: -1, Got: {binary_search([5], 10)}\")\n```"}]},{"name":"readme-writer","description":"Pure documentation ability — no code at all","correctness":8,"quality":8,"documentation":8,"total":8,"speed_ms":12093,"notes":"All required sections and flags are covered clearly and correctly formatted, though depth default (-1) and hashing algorithm ambiguity feel slightly invented/inconsistent.","stddev":null,"runs":1,"trace_id":null,"run_details":[{"run":1,"correctness":8,"quality":8,"documentation":8,"total":8,"speed_ms":12093,"notes":"All required sections and flags are covered clearly and correctly formatted, though depth default (-1) and hashing algorithm ambiguity feel slightly invented/inconsistent.","response":"# snapdiff\n\nA command-line tool to efficiently compare the contents of two directories, reporting added, removed, and changed files.\n\n## Installation\n\n`snapdiff` is a Python tool installable via pip.\n\nIt's recommended to install it within a virtual environment to avoid conflicts with system-wide packages:\n\n```bash\n# Create a virtual environment\npython3 -m venv .venv\n\n# Activate the virtual environment\nsource .venv/bin/activate\n\n# Install snapdiff\npip install snapdiff\n\n# You can now run snapdiff\nsnapdiff --help\n\n# To deactivate the environment\ndeactivate\n```\n\nAlternatively, for a global installation (not recommended for general use, but works):\n\n```bash\npip install snapdiff\n# Or, if you have multiple Python versions:\npip3 install snapdiff\n```\n\n## Usage\n\nThe basic usage is to provide two directory paths as arguments:\n\n```bash\nsnapdiff \n```\n\n`snapdiff` will compare `directory1` against `directory2`.\n- **Added files:** Files present in `directory2` but not in `directory1`.\n- **Removed files:** Files present in `directory1` but not in `directory2`.\n- **Changed files:** Files present in both, but with differing content.\n\n### Options\n\n```\nUsage: snapdiff [OPTIONS] DIR1 DIR2\n\n Compares two directories and reports added, removed, and changed files.\n\nOptions:\n --ignore-hidden Ignore hidden files and directories (starting with '.')\n during comparison.\n --output [text|json] Specify the output format. [default: text]\n --depth N Limit the recursion depth for directory traversal. 0 for\n only top-level files, 1 for top-level and one level\n down, etc. [default: -1 (unlimited)]\n --help Show this message and exit.\n```\n\n### Examples\n\n**Basic comparison:**\n\n```bash\nsnapdiff /path/to/old_data /path/to/new_data\n```\n\n**Compare, ignoring hidden files/directories:**\n\n```bash\nsnapdiff project_v1 project_v2 --ignore-hidden\n```\n\n**Output results in JSON format:**\n\n```bash\nsnapdiff /tmp/backup_monday /tmp/backup_tuesday --output json\n```\n\n**Limit comparison to top-level files only (depth 0):**\n\n```bash\nsnapdiff my_photos_jan my_photos_feb --depth 0\n```\n\n**Combine multiple options:**\n\n```bash\nsnapdiff src_prod src_dev --ignore-hidden --output json --depth 2\n```\n\n## Output Format\n\n`snapdiff` supports two output formats: `text` (default) and `json`.\n\n### Text Output (default)\n\nThe default text output provides a human-readable summary, categorized by file status.\n\n```\n--- snapdiff report ---\nDirectory A: /path/to/old_data\nDirectory B: /path/to/new_data\n\n[ADDED FILES]\n- new_feature.py\n- assets/icon.png\n- docs/installation.md\n\n[REMOVED FILES]\n- old_script.sh\n- temp_files/log.txt\n\n[CHANGED FILES]\n- config.ini (content changed)\n- src/main.py (content changed)\n- images/logo.svg (content changed)\n```\n\n### JSON Output\n\nThe JSON output provides a structured, machine-readable format, suitable for scripting or integration with other tools. It will be an object containing three arrays: `added`, `removed`, and `changed`. Each array contains relative paths to the affected files.\n\n```json\n{\n \"added\": [\n \"new_feature.py\",\n \"assets/icon.png\",\n \"docs/installation.md\"\n ],\n \"removed\": [\n \"old_script.sh\",\n \"temp_files/log.txt\"\n ],\n \"changed\": [\n \"config.ini\",\n \"src/main.py\",\n \"images/logo.svg\"\n ]\n}\n```\n\n## How it Works\n\n`snapdiff` operates by recursively traversing both specified directories. For each file encountered:\n\n1. **File Listing:** It first builds a comprehensive list of all files in both directories, respecting the `--ignore-hidden` and `--depth` options.\n2. **Hashing:** To detect content changes, `snapdiff` calculates a cryptographic hash (e.g., MD5 or SHA256, depending on internal implementation) for the content of each file. This hash acts as a unique fingerprint for the file's content.\n3. **Comparison:**\n * Files found only in `directory2` are marked as **Added**.\n * Files found only in `directory1` are marked as **Removed**.\n * Files found in both directories with the same relative path but different content hashes are marked as **Changed**.\n\nThis hash-based comparison allows for reliable detection of content modifications without having to perform a byte-by-byte comparison of potentially large files if their hashes already differ."}]},{"name":"debug","description":"Careful reading + correctness reasoning over broken code","correctness":6,"quality":6,"documentation":8,"total":6.7,"speed_ms":32164,"notes":"Correctly identifies the count>1 filter bug and passes all three test cases, but mischaracterizes bug 2 (frames it as general tokenization robustness rather than the actual empty-string bug from punctuation-only tokens) and invents an unrelated third bug (negative n handling) instead of addressing the real empty-string/dedup issue, resulting in fixes that are more than minimal (full regex rewrite) rather than surgical patches.","stddev":null,"runs":1,"trace_id":null,"run_details":[{"run":1,"correctness":6,"quality":6,"documentation":8,"total":6.7,"speed_ms":32164,"notes":"Correctly identifies the count>1 filter bug and passes all three test cases, but mischaracterizes bug 2 (frames it as general tokenization robustness rather than the actual empty-string bug from punctuation-only tokens) and invents an unrelated third bug (negative n handling) instead of addressing the real empty-string/dedup issue, resulting in fixes that are more than minimal (full regex rewrite) rather than surgical patches.","response":"The provided Python function aims to return the top-N most frequent words from a string. It has 3 bugs as specified. Let's find, explain, and fix each one.\n\n---\n\n### Bug 1: Incorrect filtering of words based on frequency\n\n1. **Buggy line:**\n ```python\n return [word for word, count in ranked[:n] if count > 1]\n ```\n\n2. **Explanation:**\n This line filters out words that appear only once (`count <= 1`) *after* selecting the top `n` words from the `ranked` list. The problem statement asks for \"top-N most frequent words,\" implying that words with a frequency of 1 are still valid \"top words\" if they happen to be among the most frequent (especially if `n` is large or all words appear only once).\n \n The test case `top_words('the cat sat on the mat the', 3)` illustrates this. The unique words are 'the' (3 times), 'cat' (1 time), 'mat' (1 time), 'sat' (1 time), 'on' (1 time). The `ranked` list would start with `[('the', 3), ('cat', 1), ('mat', 1), ...]`. When `ranked[:3]` is taken, it includes `('the', 3), ('cat', 1), ('mat', 1)`. The `if count > 1` condition then filters out 'cat' and 'mat', incorrectly returning `['the']` instead of the expected `['the', 'cat', 'mat']`. The `top_words('hello world', 5)` test case also expects words with count 1 to be returned.\n\n3. **Fix:**\n Remove the `if count > 1` condition from the list comprehension.\n\n ```python\n return [word for word, count in ranked[:n]]\n ```\n\n---\n\n### Bug 2: Insufficient word tokenization\n\n1. **Buggy lines:**\n ```python\n words = text.lower().split()\n words = [w.strip('.,!?;:\\'\"') for w in words]\n ```\n\n2. **Explanation:**\n The current word tokenization is simplistic and can lead to incorrect word counts.\n * `text.lower().split()` splits the text only by whitespace. This means punctuation directly attached to words (e.g., \"hello,\") remains part of the word.\n * `w.strip('.,!?;:\\'\"')` only removes leading and trailing punctuation. It fails to handle punctuation *within* words (e.g., \"U.S.A.\", \"word.word\" would remain as is, treating them as single words), or more complex scenarios like \"don't\" which is kept as one word but might be desired to be normalized or treated differently depending on strictness. This can result in \"hello,\" being counted separately from \"hello\", even though they refer to the same base word. A robust solution should extract only alphabetic characters and optionally apostrophes/hyphens for words.\n\n3. **Fix:**\n Replace the `split()` and `strip()` lines with a regular expression that finds sequences of letters and apostrophes, which is a more robust way to tokenize words in English text. This requires importing the `re` module.\n\n ```python\n import re # This line needs to be added at the top of the file\n\n # ...\n\n def top_words(text: str, n: int = 10) -> list[str]:\n words = re.findall(r\"[a-z']+\", text.lower()) # Find sequences of lowercase letters and apostrophes\n # The original `words = [w.strip(...)]` line is no longer needed\n # ...\n ```\n\n---\n\n### Bug 3: Incorrect handling of negative `n` values\n\n1. **Buggy line:**\n This isn't a single line, but rather how the `n` parameter is directly used in `ranked[:n]`.\n\n2. **Explanation:**\n The problem asks for \"top-N\" words, implying `n` should be a non-negative integer. However, Python's list slicing `[:n]` has a special behavior for negative `n`. For example, `my_list[:-1]` returns all elements *except* the last one. If `n` is `-1`, `ranked[:-1]` would return all but the least frequent word, which is not the intended \"top-N\" behavior. A \"top-N\" request with a negative `N` should typically result in an empty list or an error. Returning an empty list is a more graceful handling.\n\n3. **Fix:**\n Ensure `n` is non-negative before using it for slicing. If `n` is negative, `max(0, n)` will clamp it to `0`.\n\n ```python\n # ...\n ranked = sorted(counts.items(), key=lambda x: (-x[1], x[0]))\n\n actual_n = max(0, n) # Ensure n is not negative\n return [word for word, count in ranked[:actual_n]]\n ```\n\n---\n\n### Corrected Function\n\n```python\nimport re\nfrom collections import Counter\n\ndef top_words(text: str, n: int = 10) -> list[str]:\n # Bug 2 Fix: Use regex for robust word tokenization, handling internal punctuation and contractions.\n # This finds sequences of lowercase letters and apostrophes.\n words = re.findall(r\"[a-z']+\", text.lower())\n\n counts = Counter(words)\n ranked = sorted(counts.items(), key=lambda x: (-x[1], x[0]))\n \n # Bug 3 Fix: Ensure n is non-negative. If n is negative, it will be treated as 0.\n actual_n = max(0, n)\n \n # Bug 1 Fix: Removed the `if count > 1` filter, as all top N words should be included,\n # regardless of whether their count is > 1.\n return [word for word, count in ranked[:actual_n]]\n\n```"}]},{"name":"elixir-test","description":"ExUnit describe blocks + assert_raise + unicode handling","correctness":6,"quality":7,"documentation":6,"total":6.3,"speed_ms":20880,"notes":"Covers all required scenarios and uses assert_raise/describe blocks well, but contains an internal inconsistency (empty string + custom suffix test contradicts its own assumed implementation) and the doctest Examples section has several numerically incorrect examples (e.g. 'hello world',7 => 'hello...' exceeds max_len), undermining correctness and documentation accuracy despite good structural style.","stddev":null,"runs":1,"trace_id":null,"run_details":[{"run":1,"correctness":6,"quality":7,"documentation":6,"total":6.3,"speed_ms":20880,"notes":"Covers all required scenarios and uses assert_raise/describe blocks well, but contains an internal inconsistency (empty string + custom suffix test contradicts its own assumed implementation) and the doctest Examples section has several numerically incorrect examples (e.g. 'hello world',7 => 'hello...' exceeds max_len), undermining correctness and documentation accuracy despite good structural style.","response":"```elixir\ndefmodule StringUtilsTest do\n use ExUnit.Case, async: true\n\n # Assuming the StringUtils module is defined elsewhere (e.g., lib/string_utils.ex)\n # For completeness, the provided function definition from the prompt:\n #\n # defmodule StringUtils do\n # @doc \"\"\"\n # Truncates a string to at most `max_len` characters.\n # If truncated, appends `suffix` (default: \"...\").\n # Returns the original string if it is already within `max_len`.\n # Raises ArgumentError if max_len is negative.\n # \"\"\"\n # @spec truncate(String.t(), non_neg_integer(), String.t()) :: String.t()\n # def truncate(str, max_len, suffix \\\\ \"...\") do\n # if max_len < 0 do\n # raise ArgumentError, \"max_len cannot be negative\"\n # end\n #\n # str_len = String.length(str)\n # suffix_len = String.length(suffix)\n #\n # cond do\n # str_len <= max_len ->\n # str\n # max_len <= suffix_len ->\n # # If max_len is less than or equal to the suffix length,\n # # there's no space for actual string content or even a partial suffix.\n # # Common practice is to return an empty string or the suffix itself if it fits fully.\n # # Based on examples, if max_len is 3 and suffix is \"...\", it should return \"...\".\n # # If max_len is 2 and suffix is \"...\", it should return \"\".\n # if max_len >= suffix_len do\n # suffix\n # else\n # \"\"\n # end\n # true ->\n # # Calculate how many characters from the original string can fit\n # chars_to_take = max_len - suffix_len\n # String.slice(str, 0, chars_to_take) <> suffix\n # end\n # end\n # end\n\n @moduledoc \"\"\"\n Tests for the `StringUtils` module's `truncate/2` and `truncate/3` functions.\n\n ## Examples\n\n iex> StringUtils.truncate(\"hello world\", 7)\n \"hello...\"\n\n iex> StringUtils.truncate(\"short\", 10)\n \"short\"\n\n iex> StringUtils.truncate(\"another long string\", 12, \"---\")\n \"another---\"\n\n iex> StringUtils.truncate(\"你好世界\", 5)\n \"你好...\"\n\n iex> StringUtils.truncate(\"test\", 0)\n \"\"\n\n iex> StringUtils.truncate(\"test\", -1)\n ** (ArgumentError) max_len cannot be negative\n \"\"\"\n\n describe \"happy path\" do\n test \"returns original string if it's shorter than max_len\" do\n assert StringUtils.truncate(\"hello\", 10) == \"hello\"\n end\n\n test \"returns original string if it's exactly max_len\" do\n assert StringUtils.truncate(\"hello\", 5) == \"hello\"\n end\n\n test \"truncates and appends default suffix for longer strings\" do\n # \"This is a long string\" (length 21)\n # max_len = 10, suffix = \"...\" (length 3)\n # Characters from original string: 10 - 3 = 7 characters (\"This is\")\n # Result: \"This is\" <> \"...\" = \"This is...\"\n assert StringUtils.truncate(\"This is a long string\", 10) == \"This is...\"\n end\n\n test \"handles an empty string\" do\n assert StringUtils.truncate(\"\", 5) == \"\"\n assert StringUtils.truncate(\"\", 0) == \"\"\n assert StringUtils.truncate(\"\", 3, \"---\") == \"---\" # special case: empty str, max_len fits suffix\n end\n\n test \"truncates and appends custom suffix\" do\n # \"abcdefghijkl\" (length 12)\n # max_len = 8, suffix = \"---\" (length 3)\n # Characters from original string: 8 - 3 = 5 characters (\"abcde\")\n # Result: \"abcde\" <> \"---\" = \"abcde---\"\n assert StringUtils.truncate(\"abcdefghijkl\", 8, \"---\") == \"abcde---\"\n end\n\n test \"handles unicode strings correctly\" do\n # \"你好世界\" (length 4)\n # max_len = 5, suffix = \"...\" (length 3)\n # Characters from original string: 5 - 3 = 2 characters (\"你好\")\n # Result: \"你好\" <> \"...\" = \"你好...\"\n assert StringUtils.truncate(\"你好世界\", 5) == \"你好...\"\n\n # Unicode string shorter than max_len, no truncation\n assert StringUtils.truncate(\"你好世界\", 10) == \"你好世界\"\n end\n end\n\n describe \"edge and error cases\" do\n test \"returns empty string when max_len is 0\" do\n # max_len = 0, default suffix = \"...\" (length 3)\n # Suffix itself cannot fit within max_len 0. Result should be \"\".\n assert StringUtils.truncate(\"hello\", 0) == \"\"\n assert StringUtils.truncate(\"你好\", 0) == \"\"\n end\n\n test \"returns only suffix if max_len equals suffix length\" do\n # max_len = 3, default suffix = \"...\" (length 3)\n # Characters from original string: 3 - 3 = 0 characters\n # Result: \"\" <> \"...\" = \"...\"\n assert StringUtils.truncate(\"long string\", 3) == \"...\"\n assert StringUtils.truncate(\"test\", 3, \">>>\") == \">>>\"\n end\n\n test \"returns empty string if max_len is less than suffix length\" do\n # max_len = 2, default suffix = \"...\" (length 3)\n # Suffix itself cannot fit within max_len 2. Result should be \"\".\n assert StringUtils.truncate(\"long string\", 2) == \"\"\n assert StringUtils.truncate(\"another long string\", 1, \"!!!\") == \"\"\n end\n\n test \"raises ArgumentError if max_len is negative\" do\n assert_raise ArgumentError, \"max_len cannot be negative\", fn ->\n StringUtils.truncate(\"test\", -1)\n end\n\n assert_raise ArgumentError, \"max_len cannot be negative\", fn ->\n StringUtils.truncate(\"test\", -5, \"---\")\n end\n end\n end\nend\n```"}]},{"name":"test-writing","description":"Edge-case thinking + pytest parametrize discipline","correctness":3,"quality":4,"documentation":6,"total":4.3,"speed_ms":30096,"notes":"Good coverage of formats and edge cases with meaningful parametrize IDs and docstrings, but the response is cut off mid-function with an unterminated docstring, leaving invalid Python that would fail to even import/run.","stddev":null,"runs":1,"trace_id":null,"run_details":[{"run":1,"correctness":3,"quality":4,"documentation":6,"total":4.3,"speed_ms":30096,"notes":"Good coverage of formats and edge cases with meaningful parametrize IDs and docstrings, but the response is cut off mid-function with an unterminated docstring, leaving invalid Python that would fail to even import/run.","response":"This comprehensive pytest test suite covers various valid and invalid inputs for the `parse_duration` function, adhering to all the specified requirements.\n\n```python\nimport pytest\nimport re\n\n# The function under test (as provided in the problem description)\ndef parse_duration(s: str) -> int:\n \"\"\"Parse a human duration string into total seconds.\n\n Accepted formats: '1h', '30m', '45s', '1h30m', '2h15m30s'.\n Raises ValueError on unrecognized input.\n \"\"\"\n pattern = r'^(?:(\\d+)h)?(?:(\\d+)m)?(?:(\\d+)s)?$'\n m = re.fullmatch(pattern, s.strip())\n \n # Check if a full match was found OR if the string, after stripping, is empty.\n # The `not s.strip()` condition handles empty strings and strings with only whitespace.\n if not m or not s.strip():\n raise ValueError(f'Invalid duration: {s!r}')\n \n # Extract groups. If a group didn't match (e.g., '1h' has no 'm' or 's' group),\n # its value will be None, which is then converted to 0.\n h, mi, sec = (int(x) if x else 0 for x in m.groups())\n \n return h * 3600 + mi * 60 + sec\n\n# --- Pytest Test Suite ---\n\n# Test Suite for Valid Inputs using @pytest.mark.parametrize\n@pytest.mark.parametrize(\n \"duration_str, expected_seconds\",\n [\n # Single unit formats\n (\"1h\", 3600),\n (\"2h\", 2 * 3600),\n (\"30m\", 30 * 60),\n (\"45s\", 45),\n \n # Zero duration units are explicitly supported by the regex (\\d+ matches '0')\n (\"0h\", 0),\n (\"0m\", 0),\n (\"0s\", 0),\n\n # Multiple unit formats\n (\"1h30m\", 1 * 3600 + 30 * 60),\n (\"2h15m30s\", 2 * 3600 + 15 * 60 + 30),\n (\"30m45s\", 30 * 60 + 45),\n \n # Cases with zero for some units\n (\"1h0m\", 1 * 3600),\n (\"0h30m\", 30 * 60),\n (\"1h0s\", 1 * 3600),\n (\"0h0m0s\", 0), # All zero units\n\n # Edge cases for valid numerical values\n (\"59s\", 59),\n (\"60m\", 3600), # 60 minutes is valid, not normalized to hours by function\n (\"120s\", 120), # 120 seconds is valid, not normalized to minutes\n (\"23h59m59s\", 23 * 3600 + 59 * 60 + 59), # Largest typical values\n (\"99999h99999m99999s\", 99999 * 3600 + 99999 * 60 + 99999), # Very large numbers (Python's int handles arbitrary precision)\n\n # Cases with leading and/or trailing whitespace\n (\" 1h \", 3600),\n (\" 30m \", 30 * 60),\n (\" 2h15m30s \", 2 * 3600 + 15 * 60 + 30),\n ]\n)\ndef test_parse_duration_valid_inputs(duration_str: str, expected_seconds: int):\n \"\"\"\n Test parse_duration with various valid duration strings, including single units,\n multiple units, zero values, large numbers, and strings with surrounding whitespace.\n \"\"\"\n assert parse_duration(duration_str) == expected_seconds\n\n# Test Suite for Error/Edge Cases using pytest.raises\n\ndef test_parse_duration_empty_string_raises_value_error():\n \"\"\"\n Verify that an empty string input raises a ValueError with the correct message.\n \"\"\"\n with pytest.raises(ValueError, match=r\"Invalid duration: ''\"):\n parse_duration(\"\")\n\ndef test_parse_duration_whitespace_only_string_raises_value_error():\n \"\"\"\n Verify that a string containing only whitespace characters raises a ValueError\n with the correct message.\n \"\"\"\n with pytest.raises(ValueError, match=r\"Invalid duration: ' '\"):\n parse_duration(\" \")\n\ndef test_parse_duration_number_without_unit_raises_value_error():\n \"\"\"\n Verify that a string containing only a number (e.g., '123') without any units\n raises a ValueError.\n \"\"\"\n with pytest.raises(ValueError, match=r\"Invalid duration: '123'\"):\n parse_duration(\"123\")\n with pytest.raises(ValueError, match=r\"Invalid duration: '0'\"):\n parse_duration(\"0\")\n\ndef test_parse_duration_unknown_unit_raises_value_error():\n \"\"\"\n Verify that strings containing unrecognized duration units (e.g., 'd' for days, 'hr')\n raise a ValueError.\n \"\"\"\n with pytest.raises(ValueError, match=r\"Invalid duration: '1d'\"):\n parse_duration(\"1d\")\n with pytest.raises(ValueError, match=r\"Invalid duration: '1hr'\"):\n parse_duration(\"1hr\")\n with pytest.raises(ValueError, match=r\"Invalid duration: '1min'\"):\n parse_duration(\"1min\")\n\ndef test_parse_duration_invalid_unit_order_raises_value_error():\n \"\"\"\n Verify that strings where duration units are in an incorrect sequence (e.g., '30m1h')\n raise a ValueError, as the regex enforces 'h' then 'm' then 's'.\n \"\"\"\n with pytest.raises(ValueError, match=r\"Invalid duration: '30m1h'\"):\n parse_duration(\"30m1h\")\n with pytest.raises(ValueError, match=r\"Invalid duration: '45s30m'\"):\n parse_duration(\"45s30m\")\n with pytest.raises(ValueError, match=r\"Invalid duration: '45s1h'\"):\n parse_duration(\"45s1h\")\n\ndef test_parse_duration_invalid_characters_raises_value_error():\n \"\"\"\n Verify that strings containing non-numeric or non-unit characters (e.g., spaces within\n the duration, letters not part of units, decimal points, negative signs) raise a ValueError.\n \"\"\"\n with pytest.raises(ValueError, match=r\"Invalid duration: '1h 30m'\"): # Space in middle\n parse_duration(\"1h 30m\")\n with pytest.raises(ValueError, match=r\"Invalid duration: '1hX30m'\"): # Extra character\n parse_duration(\"1hX30m\")\n with pytest.raises(ValueError, match=r\"Invalid duration: 'abc'\"): # Completely invalid\n parse_duration(\"abc\")\n with pytest.raises(ValueError, match=r\"Invalid duration: '1.5h'\"): # Decimal numbers\n parse_duration(\"1.5h\")\n with pytest.raises(ValueError, match=r\"Invalid duration: '-1h'\"): # Negative numbers\n parse_duration(\"-1h\")\n with pytest.raises(ValueError, match=r\"Invalid duration: '1h_30m'\"): # Underscore\n parse_duration(\"1h_30m\")\n\ndef test_parse_duration_partial_match_raises_value_error():\n \"\"\"\n Verify that strings with a valid prefix but an invalid or unrecognized suffix (e.g.,\n '1h suffix', '1h30ms') raise a ValueError due to the `re.fullmatch` requirement.\n \"\"\"\n with pytest.raises(ValueError, match=r\"Invalid duration: '1h suffix'\"):\n parse_duration(\"1h suffix\")\n with pytest.raises(ValueError, match=r\"Invalid duration: '1h30ms'\"): # 'ms' is not 'm' then 's'\n parse_duration(\"1h30ms\")\n with pytest.raises(ValueError, match=r\"Invalid duration: 's1'\"): # Unit before number\n parse_duration(\"s1\")\n\ndef test_parse_duration_only_units_raises_value_error():\n \"\"\"\n Verify that strings consisting only of unit characters (e.g., 'h', 'm', 's')\n without preceding numbers raise a ValueError because `\\d+` expects at least one digit.\n \"\"\"\n with pytest.raises(ValueError, match=r\"Invalid duration: 'h'\"):\n parse_duration(\"h\")\n with pytest.raises(ValueError, match=r\"Invalid duration: 'm'\"):\n parse_duration(\"m\")\n with pytest.raises(ValueError, match=r\"Invalid duration: 's'\"):\n parse_duration(\"s\")\n```"}]},{"name":"go-test","description":"Idiomatic Go table-driven tests + benchmark","correctness":2,"quality":3,"documentation":5,"total":3.3,"speed_ms":21503,"notes":"The test file will not compile because 'reflect' is imported but never actually referenced (only mentioned in a comment), causing a Go compile error; additionally the apostrophe-handling test case ('It's') mismatches the model's own regex-based implementation output, meaning even after fixing the import the test would fail — despite good table-driven structure, many descriptive test names, and a solid benchmark.","stddev":null,"runs":1,"trace_id":null,"run_details":[{"run":1,"correctness":2,"quality":3,"documentation":5,"total":3.3,"speed_ms":21503,"notes":"The test file will not compile because 'reflect' is imported but never actually referenced (only mentioned in a comment), causing a Go compile error; additionally the apostrophe-handling test case ('It's') mismatches the model's own regex-based implementation output, meaning even after fixing the import the test would fail — despite good table-driven structure, many descriptive test names, and a solid benchmark.","response":"Okay, here's the Go test file (`wordcount_test.go`) along with a basic implementation of the `WordCount` function (`wordcount.go`) so the test can compile and run.\n\nFirst, create a file named `wordcount.go` in a directory named `wordcount`:\n\n```go\n// wordcount/wordcount.go\npackage wordcount\n\nimport (\n\t\"regexp\"\n\t\"strings\"\n)\n\n// WordCount returns a map of each unique word in s to the number\n// of times it appears. Words are case-insensitive and separated by\n// whitespace. Punctuation attached to words is stripped.\nfunc WordCount(s string) map[string]int {\n\tcounts := make(map[string]int)\n\n\t// Convert the entire string to lowercase first to handle case-insensitivity.\n\ts = strings.ToLower(s)\n\n\t// Use a regular expression to find sequences of letters.\n\t// This regex `[a-z]+` effectively treats any non-letter character\n\t// (like whitespace, punctuation, numbers, symbols) as a word separator\n\t// and strips them from the words themselves.\n\tre := regexp.MustCompile(`[a-z]+`)\n\twords := re.FindAllString(s, -1) // Find all non-overlapping matches\n\n\tfor _, word := range words {\n\t\t// The regex already ensures words are pure letter sequences.\n\t\t// A final check `if word != \"\"` prevents potential empty strings\n\t\t// from being processed, though for `[a-z]+`, it's generally not needed.\n\t\tif word != \"\" {\n\t\t\tcounts[word]++\n\t\t}\n\t}\n\treturn counts\n}\n```\n\nNext, create the test file `wordcount_test.go` in the same directory:\n\n```go\n// wordcount/wordcount_test.go\npackage wordcount\n\nimport (\n\t\"maps\" // Requires Go 1.21+ for maps.Equal. Use reflect.DeepEqual for older versions.\n\t\"reflect\" // Used for reflect.DeepEqual if maps.Equal is not available\n\t\"testing\"\n)\n\n// TestWordCount tests the WordCount function using a table-driven approach.\nfunc TestWordCount(t *testing.T) {\n\t// Define test cases as a slice of structs.\n\tvar tests = []struct {\n\t\tname string // Name of the test case\n\t\tinput string // Input string to WordCount\n\t\twant map[string]int // Expected output map\n\t}{\n\t\t{\n\t\t\tname: \"Empty string\",\n\t\t\tinput: \"\",\n\t\t\twant: map[string]int{},\n\t\t},\n\t\t{\n\t\t\tname: \"Single word\",\n\t\t\tinput: \"hello\",\n\t\t\twant: map[string]int{\"hello\": 1},\n\t\t},\n\t\t{\n\t\t\tname: \"Mixed case words\",\n\t\t\tinput: \"Hello hello HELLO\",\n\t\t\twant: map[string]int{\"hello\": 3},\n\t\t},\n\t\t{\n\t\t\tname: \"Punctuation attached to words\",\n\t\t\tinput: \"Hello, world! How are you?\",\n\t\t\twant: map[string]int{\"hello\": 1, \"world\": 1, \"how\": 1, \"are\": 1, \"you\": 1},\n\t\t},\n\t\t{\n\t\t\tname: \"Repeated words\",\n\t\t\tinput: \"apple banana apple orange banana apple\",\n\t\t\twant: map[string]int{\"apple\": 3, \"banana\": 2, \"orange\": 1},\n\t\t},\n\t\t{\n\t\t\tname: \"Multi-word sentence\",\n\t\t\tinput: \"This is a test. A good test it is, indeed!\",\n\t\t\twant: map[string]int{\"this\": 1, \"is\": 2, \"a\": 2, \"test\": 2, \"good\": 1, \"it\": 1, \"indeed\": 1},\n\t\t},\n\t\t{\n\t\t\tname: \"Words with numbers and hyphens (punctuation stripping)\",\n\t\t\tinput: \"word123 another-word 456 test-case\",\n\t\t\t// Based on the regex `[a-z]+`, numbers and hyphens are treated as separators/stripped.\n\t\t\t// \"word123\" -> \"word\"\n\t\t\t// \"another-word\" -> \"another\", \"word\"\n\t\t\t// \"456\" -> \"\" (no letters)\n\t\t\t// \"test-case\" -> \"test\", \"case\"\n\t\t\twant: map[string]int{\"word\": 2, \"another\": 1, \"test\": 1, \"case\": 1},\n\t\t},\n\t\t{\n\t\t\tname: \"Leading/trailing and multiple internal whitespace\",\n\t\t\tinput: \" \\t hello world \\n again \",\n\t\t\twant: map[string]int{\"hello\": 1, \"world\": 1, \"again\": 1},\n\t\t},\n\t\t{\n\t\t\tname: \"Sentence with various punctuation and multiple occurrences\",\n\t\t\tinput: \" Go is a great language! It's fast, concise, and fun. (Go, go, go!) \",\n\t\t\twant: map[string]int{\"go\": 4, \"is\": 1, \"a\": 1, \"great\": 1, \"language\": 1, \"it\": 1, \"fast\": 1, \"concise\": 1, \"and\": 1, \"fun\": 1},\n\t\t},\n\t}\n\n\tfor _, tc := range tests {\n\t\t// Use t.Run for subtests to make test failures identifiable by name.\n\t\tt.Run(tc.name, func(t *testing.T) {\n\t\t\tgot := WordCount(tc.input)\n\n\t\t\t// Compare the resulting maps with the expected map.\n\t\t\t// For Go 1.21 and later, maps.Equal is the preferred way.\n\t\t\tif !maps.Equal(got, tc.want) {\n\t\t\t// For Go versions prior to 1.21, use reflect.DeepEqual:\n\t\t\t// if !reflect.DeepEqual(got, tc.want) {\n\t\t\t\tt.Errorf(\"WordCount(%q)\\n got: %v\\n expected: %v\", tc.input, got, tc.want)\n\t\t\t}\n\t\t})\n\t}\n}\n\n// BenchmarkWordCount measures the performance of the WordCount function\n// on a realistic, moderately long sentence/paragraph.\nfunc BenchmarkWordCount(b *testing.B) {\n\t// A reasonably long and complex sentence for a realistic benchmark.\n\trealisticSentence := \"The quick brown fox jumps over the lazy dog. This is a classic pangram, often used to display \" +\n\t\t\"font samples or to test typewriters and computer keyboards. It contains every letter of the \" +\n\t\t\"English alphabet at least once. Punctuation, capitalization, and numbers should be handled \" +\n\t\t\"correctly by the WordCount function. For instance, 'fox,' and 'fox' should count as the same word. \" +\n\t\t\"Let's see how many words are in this paragraph. There are quite a few, indeed! It's an excellent \" +\n\t\t\"example for benchmarking purposes, showcasing various aspects like repeated words, mixed case, \" +\n\t\t\"and punctuation stripping in a natural language context. Performance matters here, especially \" +\n\t\t\"for text processing tasks. What do you think about this benchmark sentence?\"\n\n\t// Reset timer to exclude any setup time (though minimal here).\n\tb.ResetTimer()\n\n\t// Run the WordCount function b.N times.\n\tfor i := 0; i < b.N; i++ {\n\t\tWordCount(realisticSentence)\n\t}\n}\n```\n\n### To run these tests and benchmarks:\n\n1. **Create a directory structure:**\n ```\n myproject/\n └── wordcount/\n ├── wordcount.go\n └── wordcount_test.go\n ```\n2. **Navigate to the `wordcount` directory** in your terminal.\n3. **Run tests:**\n ```bash\n go test\n ```\n This will execute `TestWordCount` and its subtests.\n4. **Run benchmarks:**\n ```bash\n go test -bench=.\n ```\n This will execute `BenchmarkWordCount` and report its performance.\n5. **Run specific test/benchmark:**\n ```bash\n go test -run='TestWordCount/Punctuation attached to words'\n go test -bench='BenchmarkWordCount'\n ```"}]},{"name":"api-client","description":"Class design + error handling + type hints + docs","correctness":0,"quality":2,"documentation":3,"total":1.7,"speed_ms":35473,"notes":"The response is truncated mid-code (cuts off at 'if response.content: re') and never includes get/post methods or the usage example, making it non-functional and incomplete.","stddev":null,"runs":1,"trace_id":"6c4a3e2c84c5af321cdccbedbb01ee6b","run_details":[{"run":1,"correctness":0,"quality":2,"documentation":3,"total":1.7,"speed_ms":35473,"notes":"The response is truncated mid-code (cuts off at 'if response.content: re') and never includes get/post methods or the usage example, making it non-functional and incomplete.","response":"This `APIClient` class provides a robust and type-hinted wrapper around the `requests` library, designed for interacting with RESTful APIs. It includes custom error handling, automatic JSON serialization/deserialization, and support for API key authentication.\n\n```python\nimport requests\nfrom typing import Optional, Dict, Any, Union\n\n# 1. Custom APIError exception\nclass APIError(Exception):\n \"\"\"\n Custom exception for API errors encountered by the APIClient.\n\n This exception is raised when an HTTP response indicates an error (non-2xx status code).\n It encapsulates the status code, a descriptive message, and optionally the\n full response body for debugging purposes.\n \"\"\"\n\n def __init__(self, status_code: int, message: str, response_body: Optional[Union[Dict[str, Any], str]] = None):\n \"\"\"\n Initializes the APIError.\n\n Args:\n status_code: The HTTP status code of the API response (e.g., 404, 500).\n message: A human-readable error message, often derived from the API's\n response or a default description.\n response_body: The raw response body, if available. This can be a dictionary\n (if JSON) or a string (if plain text), providing more\n detailed error information from the API.\n \"\"\"\n self.status_code = status_code\n self.message = message\n self.response_body = response_body\n super().__init__(f\"API Error {status_code}: {message}\")\n\n def __str__(self) -> str:\n \"\"\"Returns the string representation of the error.\"\"\"\n details = f\"Status Code: {self.status_code}, Message: {self.message}\"\n if self.response_body:\n # For cleaner output, stringify dicts and truncate long strings\n if isinstance(self.response_body, dict):\n body_str = str(self.response_body)\n elif isinstance(self.response_body, str):\n body_str = self.response_body\n else:\n body_str = f\"{self.response_body}\"\n \n # Truncate long response bodies for readability\n if len(body_str) > 200:\n body_str = body_str[:197] + \"...\"\n details += f\", Response Body: {body_str}\"\n return f\"APIError({details})\"\n\n\n# 2. APIClient class\nclass APIClient:\n \"\"\"\n A Python client for interacting with a REST API, wrapping the `requests` library.\n\n This client handles base URL management, API key authentication (Bearer token),\n JSON content types, and automatic error handling for non-2xx responses by\n raising a custom `APIError`. It uses `requests.Session` for efficient\n connection pooling and persistent headers.\n \"\"\"\n\n def __init__(self, base_url: str, api_key: Optional[str] = None):\n \"\"\"\n Initializes the APIClient with a base URL and an optional API key.\n\n Args:\n base_url: The base URL for the API (e.g., \"https://api.example.com/v1\").\n It will be stripped of any trailing slash to ensure consistent\n path joining.\n api_key: An optional API key for authentication. If provided,\n it will be included in the 'Authorization' header as\n 'Bearer '.\n\n Raises:\n ValueError: If the `base_url` is empty.\n \"\"\"\n if not base_url:\n raise ValueError(\"base_url cannot be empty\")\n\n self.base_url: str = base_url.rstrip('/') # Ensure no trailing slash\n self.session: requests.Session = requests.Session()\n\n # Set default headers for JSON content-type\n self.session.headers.update({\"Content-Type\": \"application/json\"})\n\n # Add Authorization header if an API key is provided\n if api_key:\n self.session.headers.update({\"Authorization\": f\"Bearer {api_key}\"})\n\n def _request(self, method: str, path: str, **kwargs: Any) -> Dict[str, Any]:\n \"\"\"\n Internal helper method to make an HTTP request and handle common logic.\n\n This method constructs the full URL, sends the request using the configured\n session, checks for non-2xx responses, and parses the JSON response.\n It's used by public methods like `get` and `post`.\n\n Args:\n method: The HTTP method to use (e.g., \"GET\", \"POST\", \"PUT\", \"DELETE\").\n path: The API endpoint path relative to the base URL\n (e.g., \"users\", \"products/123\", \"orders\"). It will be stripped\n of any leading slash to ensure consistent URL construction.\n **kwargs: Additional keyword arguments to pass directly to\n `requests.Session.request`. Common arguments include `params`\n for query parameters (GET) and `json` for JSON payload (POST/PUT).\n\n Returns:\n The JSON response body as a dictionary. If the response content is empty\n (e.g., a 204 No Content response), an empty dictionary is returned.\n\n Raises:\n APIError: If the API returns a non-2xx status code. This custom exception\n will contain the status code, a descriptive message, and the\n raw response body for debugging.\n requests.exceptions.RequestException: For network-related errors\n (e.g., connection refused, timeout,\n DNS resolution failure).\n \"\"\"\n # Construct the full URL, ensuring path doesn't start with a slash\n full_url: str = f\"{self.base_url}/{path.lstrip('/')}\"\n\n try:\n response: requests.Response = self.session.request(method, full_url, **kwargs)\n response.raise_for_status() # Raises HTTPError for 4xx/5xx responses\n\n # Attempt to return JSON if content exists, otherwise an empty dict\n if response.content:\n return response.json()\n return {} # For 204 No Content, etc.\n\n except requests.exceptions.HTTPError as e:\n # Handle specific HTTP errors (4xx/5xx) by raising our custom APIError\n status_code: int = e.response.status_code\n error_message: str = f\"Request to {full_url} failed with status {status_code}\"\n response_body: Optional[Union[Dict[str, Any], str]] = None\n\n if e.response.text:\n try:\n # Attempt to parse response body as JSON for more details\n response_body = e.response.json()\n # Look for common error message keys in the JSON response\n if isinstance(response_body, dict):\n error_message = response_body.get(\"message\", response_body.get(\"error\", error_message))\n except requests.exceptions.JSONDecodeError:\n # If response body is not JSON, use raw text as the body and message\n response_body = e.response.text\n error_message = response_body if response_body else error_message\n \n # Raise the custom APIError, preserving the original exception chain\n raise APIError(status_code, error_message, response_body) from e\n\n except requests.exceptions.RequestException as e:\n # Catch general request exceptions (e.g., network issues, timeouts)\n # These are re-raised as standard requests exceptions.\n raise e\n\n def get(self, path: str, params: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:\n \"\"\"\n Sends a GET request to the specified API path.\n\n Args:\n path: The API endpoint path (e.g., \"users\", \"products/123\", \"items\").\n params: An optional dictionary of query parameters to send with the request.\n These will be appended to the URL as `?key1=value1&key2=value2`.\n\n Returns:\n The JSON response body as a dictionary.\n\n Raises:\n APIError: If the API returns a non-2xx status code.\n requests.exceptions.RequestException: For network-related errors.\n \"\"\"\n return self._request(\"GET\", path, params=params)\n\n def post(self, path: str, data: Dict[str, Any]) -> Dict[str, Any]:\n \"\"\"\n Sends a POST request to the specified API path with a JSON payload.\n\n The `data` dictionary will be automatically serialized to JSON and\n sent in the request body. The `Content-Type` header will be set\n to `application/json` automatically by `requests` when using the `json` argument.\n\n Args:\n path: The API endpoint path (e.g., \"users\", \"orders\", \"products\").\n data: A dictionary representing the JSON payload to send in the request body.\n\n Returns:\n The JSON response body as a dictionary.\n\n Raises:\n APIError: If the API returns a non-2xx status code.\n requests.exceptions.RequestException: For network-related errors.\n \"\"\"\n return self._request(\"POST\", path, json=data)\n\n # You could similarly add methods for PUT, DELETE, etc.\n # def put(self, path: str, data: Dict[str, Any]) -> Dict[str, Any]:\n # \"\"\"Sends a PUT request with a JSON payload.\"\"\"\n # return self._request(\"PUT\", path, json=data)\n #\n # def delete(self, path: str) -> Dict[str, Any]:\n # \"\"\"Sends a DELETE request.\"\"\"\n # return self._request(\"DELETE\", path)\n\n\n# 3. Usage Example\nif __name__ == \"__main__\":\n # Using JSONPlaceholder as a mock API for demonstration purposes\n # It's a free fake API for testing and prototyping.\n BASE_URL = \"https://jsonplaceholder.typicode.com\"\n print(f\"--- Demonstrating APIClient with {BASE_URL} ---\")\n\n # Initialize the client\n client = APIClient(BASE_URL)\n\n # Example 1: Successful GET request\n print(\"\\n--- GETting posts/1 (expecting success) ---\")\n try:\n post_id = 1\n post_data = client.get(f\"posts/{post_id}\")\n print(f\"Successfully fetched post {post_id}:\")\n print(f\" Title: {post_data.get('title')[:60]}...\")\n print(f\" Body: {post_data.get('body')[:60]}...\")\n except APIError as e:\n print(f\"Error fetching post: {e}\")\n except requests.exceptions.RequestException as e:\n print(f\"Network error: {e}\")\n except Exception as e:\n print(f\"An unexpected error occurred: {e}\")\n\n # Example 2: Successful POST request\n print(\"\\n--- POSTing a new post (expecting success) ---\")\n new_post_payload = {\n \"title\": \"My New Awesome Post\",\n \"body\": \"This is the content of my brand new post.\",\n \"userId\": 1,\n }\n try:\n created_post = client.post(\"posts\", new_post_payload)\n print(\"Successfully created a new post:\")\n print(f\" ID: {created_post.get('id')}\") # JSONPlaceholder returns 101 for new posts\n print(f\" Title: {created_post.get('title')}\")\n print(f\" UserId: {created_post.get('userId')}\")\n except APIError as e:\n print(f\"Error creating post: {e}\")\n except requests.exceptions.RequestException as e:\n print(f\"Network error: {e}\")\n except Exception as e:\n print(f\"An unexpected error occurred: {e}\")\n\n # Example 3: Handling APIError (404 Not Found)\n print(\"\\n--- Attempting to GET a non-existent post (expecting APIError 404) ---\")\n try:\n non_existent_id = 999999 # Very high ID, likely doesn't exist\n client.get(f\"posts/{non_existent_id}\")\n print(\"Unexpected: Fetched a non-existent post!\")\n except APIError as e:\n print(f\"Caught expected APIError: {e}\")\n assert e.status_code == 404\n print(f\" Status Code: {e.status_code}\")\n print(f\" Message: '{e.message}'\")\n except requests.exceptions.RequestException as e:\n print(f\"Network error: {e}\")\n except Exception as e:\n print(f\"An unexpected error occurred: {e}\")\n\n # Example 4: Handling a request to a completely invalid path (also likely 404)\n print(\"\\n--- Attempting to GET an invalid path (expecting APIError 404) ---\")\n try:\n client.get(\"this/path/does/not/exist/at/all\")\n print(\"Unexpected: Fetched from an invalid path!\")\n except APIError as e:\n print(f\"Caught expected APIError: {e}\")\n assert e.status_code == 404\n print(f\" Status Code: {e.status_code}\")\n print(f\" Message: '{e.message}'\")\n except requests.exceptions.RequestException as e:\n print(f\"Network error: {e}\")\n except Exception as e:\n print(f\"An unexpected error occurred: {e}\")\n\n # Example 5: Initializing client with a mock API key\n print(\"\\n--- Initializing client with a mock API key (demonstrates header setup) ---\")\n MOCK_API_KEY = \"my_super_secret_token_abc123\"\n client_with_key = APIClient(BASE_URL, api_key=MOCK_API_KEY)\n print(f\"Client headers with API key: {client_with_key.session.headers}\")\n assert client_with_key.session.headers.get(\"Authorization\") == f\"Bearer {MOCK_API_KEY}\"\n print(\"APIClient successfully initialized with Authorization header (no actual API key validation here).\")\n \n # You could then use client_with_key to interact with protected endpoints:\n # try:\n # protected_resource = client_with_key.get(\"protected/data\")\n # print(f\"Fetched protected resource: {protected_resource}\")\n # except APIError as e:\n # print(f\"Error accessing protected resource: {e}\")\n # # Expect 401 Unauthorized or 403 Forbidden if key is invalid/missing on a real API\n```"}]},{"name":"async-fetch","description":"Async concurrency patterns + retry/timeout handling","correctness":0,"quality":1,"documentation":3,"total":1.3,"speed_ms":38391,"notes":"Response is truncated/incomplete code (cuts off mid-line at 'results = a'), so it doesn't even run, let alone satisfy requirements like gather, main block, or returning final results.","stddev":null,"runs":1,"trace_id":null,"run_details":[{"run":1,"correctness":0,"quality":1,"documentation":3,"total":1.3,"speed_ms":38391,"notes":"Response is truncated/incomplete code (cuts off mid-line at 'results = a'), so it doesn't even run, let alone satisfy requirements like gather, main block, or returning final results.","response":"```python\nimport asyncio\nimport aiohttp\nimport logging\nfrom typing import List, Dict, Optional, Any\n\n# Configure logging for better visibility of retries\nlogging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')\nlogger = logging.getLogger(__name__)\n\nasync def _fetch_url_with_retries(\n session: aiohttp.ClientSession,\n url: str,\n timeout: float,\n max_retries: int\n) -> Dict[str, Any]:\n \"\"\"\n Internal helper: Fetches a single URL with retries and exponential backoff.\n Handles network errors, timeouts, and 5xx HTTP responses.\n \n Args:\n session: An aiohttp client session.\n url: The URL to fetch.\n timeout: Per-request timeout in seconds.\n max_retries: Maximum number of retry attempts (0 means no retries, 1 means one retry, etc.).\n Total attempts will be max_retries + 1.\n \n Returns:\n A dictionary containing the fetch result:\n - 'url': The original URL.\n - 'status': HTTP status code (int) or None on error.\n - 'body': Response text (str) or None on error.\n - 'error': Error message string or None on success.\n \"\"\"\n base_delay = 0.5 # Initial backoff delay for retries\n \n for attempt in range(max_retries + 1): # Loop for initial attempt (0) + max_retries\n result: Dict[str, Any] = {\n \"url\": url,\n \"status\": None,\n \"body\": None,\n \"error\": None,\n }\n \n try:\n # Set a per-request timeout using aiohttp.ClientTimeout\n async with session.get(url, timeout=aiohttp.ClientTimeout(total=timeout)) as response:\n result[\"status\"] = response.status\n \n # Check for 5xx status codes for retry conditions.\n # If a 5xx is encountered, explicitly raise ClientResponseError to trigger retry logic.\n if 500 <= response.status < 600:\n raise aiohttp.ClientResponseError(\n request_info=response.request_info,\n history=response.history,\n status=response.status,\n message=f\"Server error {response.status}\"\n )\n \n # If status is not 5xx, consider it a successful fetch, read body.\n result[\"body\"] = await response.text()\n return result # Success, no error\n \n except asyncio.TimeoutError:\n error_msg = f\"Request timed out after {timeout} seconds\"\n result[\"error\"] = error_msg\n logger.warning(f\"Timeout for {url} (Attempt {attempt + 1}/{max_retries + 1}): {error_msg}\")\n \n except aiohttp.ClientResponseError as e:\n # Catches 5xx status codes (raised explicitly above) and other HTTP-related errors\n error_msg = f\"HTTP error {e.status}: {e.message}\" if e.status else f\"Client response error: {e}\"\n result[\"status\"] = e.status\n result[\"error\"] = error_msg\n logger.warning(f\"HTTP error for {url} (Attempt {attempt + 1}/{max_retries + 1}): {error_msg}\")\n\n except aiohttp.ClientError as e:\n # Catches general aiohttp client errors (connection issues, DNS resolution, etc.)\n error_msg = f\"Network error: {e.__class__.__name__} - {e}\"\n result[\"error\"] = error_msg\n logger.warning(f\"Network error for {url} (Attempt {attempt + 1}/{max_retries + 1}): {error_msg}\")\n \n except Exception as e:\n # Catch any other unexpected errors that might occur during the request\n error_msg = f\"Unexpected error: {e.__class__.__name__} - {e}\"\n result[\"error\"] = error_msg\n logger.error(f\"Unexpected error for {url} (Attempt {attempt + 1}/{max_retries + 1}): {error_msg}\")\n\n # If an error occurred and we still have retries left\n if attempt < max_retries:\n delay = base_delay * (2 ** attempt)\n logger.info(f\"Retrying {url} in {delay:.1f}s (Attempt {attempt + 1}/{max_retries + 1})\")\n await asyncio.sleep(delay)\n else:\n # No more retries left, return the result dict with the last error encountered\n return result\n \n # This line is theoretically unreachable as the loop always returns either\n # on success or after the last retry attempt. It's kept for defensive programming.\n return result\n\n\nasync def fetch_all(urls: List[str], timeout: float = 5.0, retries: int = 2) -> List[Dict[str, Any]]:\n \"\"\"\n Fetches multiple URLs concurrently using aiohttp with specified timeout and retries.\n \n Args:\n urls: A list of URLs to fetch.\n timeout: Per-request timeout in seconds.\n retries: Number of retry attempts for network errors or 5xx responses.\n (0 means no retries, 1 means one retry, etc. Total attempts = 1 + retries).\n Exponential backoff is used: 0.5s, 1s, 2s, ...\n \n Returns:\n A list of dictionaries, where each dictionary represents the result of fetching a URL.\n Each result dict contains:\n - 'url': The original URL.\n - 'status': HTTP status code (int) or None on error.\n - 'body': Response text (str) or None on error.\n - 'error': Error message string or None on success.\n \"\"\"\n # Create a single ClientSession for all requests for efficiency.\n # ClientSession automatically manages connection pooling.\n async with aiohttp.ClientSession() as session:\n # Create a list of coroutine tasks for each URL\n tasks = [\n _fetch_url_with_retries(session, url, timeout, retries)\n for url in urls\n ]\n \n # Run all tasks concurrently and wait for them to complete.\n # Since _fetch_url_with_retries handles all exceptions internally,\n # `return_exceptions=False` will not cause fetch_all to raise.\n results = await asyncio.gather(*tasks, return_exceptions=False)\n \n return results\n\nif __name__ == \"__main__\":\n test_urls = [\n \"http://example.com\", # Should succeed (200 OK)\n \"http://httpbin.org/status/500\", # Should trigger 5xx retry, then fail with 500\n \"http://httpbin.org/delay/6\", # Should timeout (default timeout=5s), then retry, fail with Timeout\n \"http://nosuchdomain.invalid\", # Should cause a DNS/network error, then retry, fail with network error\n \"http://httpbin.org/status/200\", # Another success (200 OK)\n \"https://www.google.com/nonexistent-page-xyz\", # Should return 404 (not a retriable error)\n ]\n\n async def main():\n print(\"--- Fetching with default settings (timeout=5s, retries=2) ---\")\n results_default = await fetch_all(test_urls)\n for res in results_default:\n print(f\"URL: {res['url']}\")\n print(f\" Status: {res['status']}\")\n print(f\" Error: {res['error']}\")\n # Truncate body for display if present and not an error\n body_preview = res['body'][:100] + '...' if res['body'] and len(res['body']) > 100 else res['body']\n print(f\" Body: {body_preview if res['error'] is None else 'N/A'}\\n\")\n\n print(\"\\n\" + \"=\"*80 + \"\\n\")\n print(\"--- Fetching with custom settings (timeout=3s, retries=1) ---\")\n custom_urls = [\n \"http://httpbin.org/delay/4\", # Should timeout with 3s timeout, then retry, fail with Timeout\n \"http://httpbin.org/status/503\", # Should retry once for 503, then fail with 503\n \"http://example.com\" # Should succeed (200 OK)\n ]\n results_custom = await fetch_all(custom_urls, timeout=3.0, retries=1)\n for res in results_custom:\n print(f\"URL: {res['url']}\")\n print(f\" Status: {res['status']}\")\n print(f\" Error: {res['error']}\")\n body_preview = res['body'][:100] + '...' if res['body'] and len(res['body']) > 100 else res['body']\n print(f\" Body: {body_preview if res['error'] is None else 'N/A'}\\n\")\n\n asyncio.run(main())\n```"}]},{"name":"doom","description":"DDA raycaster + textures + door + minimap + Z-buffer — the signature challenge","correctness":0,"quality":0,"documentation":0,"total":0,"speed_ms":62653,"notes":"The response contains only a prose description of intended features with no actual HTML/JS code provided (and it's cut off mid-sentence), so there is nothing functional to evaluate.","stddev":null,"runs":1,"trace_id":"213e825b20425b2f7f3912bfbbc05100","run_details":[{"run":1,"correctness":0,"quality":0,"documentation":0,"total":0,"speed_ms":62653,"notes":"The response contains only a prose description of intended features with no actual HTML/JS code provided (and it's cut off mid-sentence), so there is nothing functional to evaluate.","response":"This raycasting engine implements all specified features within a single, self-contained HTML file.\n\n**Key Features Implemented:**\n\n1. **Rendering:**\n * **DDA Raycasting:** The core rendering logic uses the DDA algorithm to step through the map grid and detect wall hits.\n * **Fish-eye Correction:** Automatically handled by calculating `perpWallDist` (perpendicular distance to the wall from the camera plane).\n * **Procedurally Generated Wall Textures:** Three distinct texture patterns (Checkerboard, Brick, Stripe) are generated using canvas math (no images or data URIs). A distinct wood-like texture is also generated for doors.\n * **Perspective-Correct Texture Mapping:** Achieved by mapping the `wallX` hit point and `wallHeightFraction` to the texture coordinate functions.\n * **Distance-Based Shading:** Walls darken smoothly based on `perpWallDist`, using a `clamp(1 / (distance * SHADE_FACTOR + 1), 0, 1)` formula.\n * **Ceiling/Floor:** Rendered as flat dark and slightly lighter gray colors respectively.\n * **Performance:** Renders to an `ImageData` buffer directly, then uses `ctx.putImageData` once per frame for optimal speed, targeting 60fps at 640x480.\n\n2. **Map:**\n * **Hard-coded 20x20 Map:** Defined as a 2D array, ensuring a non-trivial layout with 3 distinct rooms, corridors, a dead end, and a secret area.\n * **3+ Wall Types:** Walls are assigned types 1, 2, 3 (for checkerboard, brick, stripe), 4 (door), and 5 (exit).\n * **Door Cell:** A door (type 4) opens when the player presses 'E' while within 1.5 cells. Opened doors become passable and render as open archways (showing floor/ceiling through the middle section, with textured posts on the sides/top).\n * **Exit Cell:** Reaching the exit (type 5) displays a \"LEVEL COMPLETE\" overlay with elapsed time.\n * **Player Spawn:** Hard-coded spawn position and initial direction are set in `initMap()`.\n\n3. **Player:**\n * **WASD Movement:** Smooth movement and strafing using `deltaTime`.\n * **Mouse-look:** Uses the Pointer Lock API for horizontal rotation, with adjustable sensitivity. Click the canvas to enable.\n * **Collision Detection:** AABB collision against solid walls (including closed doors). Player radius `0.2` cells. Movement is checked for X and Y axes separately to allow sliding along walls.\n * **Field of View:** Set"}]},{"name":"slots","description":"Vegas slot machine — reels, pay table, betting, win animations","correctness":0,"quality":0,"documentation":0,"total":0,"speed_ms":63997,"notes":"Response is truncated mid-CSS and contains no JavaScript or complete HTML, so none of the required functionality exists at all.","stddev":null,"runs":1,"trace_id":"c20b6d90fc9abb99d4c63c92005811c4","run_details":[{"run":1,"correctness":0,"quality":0,"documentation":0,"total":0,"speed_ms":63997,"notes":"Response is truncated mid-CSS and contains no JavaScript or complete HTML, so none of the required functionality exists at all.","response":"Here's the single self-contained HTML file for a Vegas-style slot machine, as requested.\n\n```html\n\n\n\n Vegas Slot Machine\n