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{
"code_generation": {
"template": "You are AI Coder, a specialized coding assistant. Generate {language} code for the following task:\n\nTask: {task_description}\n\nRequirements:\n{requirements}\n\nPlease provide clean, efficient, and well-documented code that follows best practices.\n\nCode:",
"examples": [
{
"task_description": "Create a function to sort a list using quicksort",
"language": "python",
"requirements": [
"Handle empty lists",
"Support custom comparison functions",
"Use type hints"
],
"output": "def quicksort(arr: list, key=lambda x: x) -> list:\n \"\"\"Sort a list using the quicksort algorithm.\n \n Args:\n arr: List to sort\n key: Function to get comparison key\n \n Returns:\n Sorted list\n \"\"\"\n if not arr:\n return []\n \n pivot = arr[len(arr) // 2]\n left = [x for x in arr if key(x) < key(pivot)]\n middle = [x for x in arr if key(x) == key(pivot)]\n right = [x for x in arr if key(x) > key(pivot)]\n \n return quicksort(left, key) + middle + quicksort(right, key)"
}
]
},
"code_analysis": {
"template": "Analyze the following code for potential issues and improvements:\n\nCode:\n{code}\n\nFocus on:\n- Code quality and readability\n- Performance optimizations\n- Security concerns\n- Best practices and patterns\n\nAnalysis:",
"examples": [
{
"code": "def process_data(data):\n result = []\n for i in range(len(data)):\n if data[i] > 0:\n result.append(data[i] * 2)",
"output": "Code Quality:\n- Use list comprehension for better readability\n- Add type hints\n- Add docstring\n\nPerformance:\n- Avoid using range(len()) with lists\n- Consider using list comprehension for better performance\n\nBest Practices:\n- Add return statement\n- Add error handling for invalid inputs"
}
]
},
"code_refactor": {
"template": "Refactor the following code to improve its quality:\n\nOriginal Code:\n{code}\n\nFocus Areas:\n{focus_areas}\n\nProvide the refactored code and explain the improvements made.\n\nRefactored Code:",
"examples": [
{
"code": "def calc(x,y,op):\n if op=='add':\n return x+y\n if op=='sub':\n return x-y\n if op=='mul':\n return x*y\n if op=='div':\n return x/y",
"focus_areas": [
"Code structure",
"Error handling",
"Documentation"
],
"output": "from typing import Union\n\ndef calculate(x: Union[int, float], y: Union[int, float], operation: str) -> Union[int, float]:\n \"\"\"Perform basic arithmetic operations.\n \n Args:\n x: First number\n y: Second number\n operation: Operation to perform ('add', 'sub', 'mul', 'div')\n \n Returns:\n Result of the operation\n \n Raises:\n ValueError: If operation is invalid\n ZeroDivisionError: If dividing by zero\n \"\"\"\n operations = {\n 'add': lambda a, b: a + b,\n 'sub': lambda a, b: a - b,\n 'mul': lambda a, b: a * b,\n 'div': lambda a, b: a / b if b != 0 else raise ZeroDivisionError('Cannot divide by zero')\n }\n \n if operation not in operations:\n raise ValueError(f'Invalid operation. Must be one of: {list(operations.keys())}')\n \n return operations[operation](x, y)"
}
]
},
"error_handling": {
"template": "The following code has an error:\n\nCode:\n{code}\n\nError:\n{error}\n\nProvide a detailed explanation of the error and how to fix it:",
"examples": [
{
"code": "def get_value(dict, key):\n return dict[key]",
"error": "KeyError: 'name'",
"output": "The error occurs because the key 'name' doesn't exist in the dictionary. To fix this:\n\n1. Use dict.get() method with a default value\n2. Add error handling with try-except\n3. Check if key exists before accessing\n\nHere's the fixed code:\n\ndef get_value(data: dict, key: str, default=None):\n return data.get(key, default)"
}
]
},
"documentation": {
"template": "Generate documentation for the following code:\n\nCode:\n{code}\n\nInclude:\n- Function/class purpose\n- Parameters\n- Return values\n- Examples\n- Notes/warnings\n\nDocumentation:",
"examples": [
{
"code": "def retry(func, max_attempts=3, delay=1):\n for attempt in range(max_attempts):\n try:\n return func()\n except Exception as e:\n if attempt == max_attempts - 1:\n raise\n time.sleep(delay)",
"output": "```python\ndef retry(func: Callable, max_attempts: int = 3, delay: float = 1) -> Any:\n \"\"\"Retry a function multiple times before giving up.\n \n Args:\n func: Function to retry\n max_attempts: Maximum number of attempts (default: 3)\n delay: Delay between attempts in seconds (default: 1)\n \n Returns:\n Result of the function if successful\n \n Raises:\n Exception: If all attempts fail, raises the last exception\n \n Example:\n >>> def unstable_api():\n ... if random.random() < 0.5:\n ... raise ConnectionError()\n ... return 'success'\n ...\n >>> result = retry(unstable_api, max_attempts=5, delay=0.1)\n \n Note:\n The function will sleep between attempts, so it may take\n (max_attempts - 1) * delay seconds to complete in the worst case.\n \"\"\"\n```"
}
]
}
}
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