generate_random_array
Generate a customizable random array for applications like batch number generation, sampling, test datasets, or task assignments. Specify length, value range, and duplication preferences for tailored results.
Instructions
Random Array Generator
Generate a random array of specified length
Args:
salt (str, optional): Random number salt value. Defaults to "".
array_length (int, optional): Array length. Defaults to 1.
min_value (int, optional): Minimum value. Defaults to 0.
max_value (int, optional): Maximum value. Defaults to 1000000.
allow_duplicates (bool, optional): Allow duplicate values. Defaults to True.
Returns:
str: JSON string containing the random array
Application Scenarios:
1. Batch random number generation
2. Random sampling
3. Test dataset generation
4. Random task assignmentInput Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| allow_duplicates | No | ||
| array_length | No | ||
| max_value | No | ||
| min_value | No | ||
| salt | No |
Implementation Reference
- main.py:67-90 (handler)MCP tool handler and registration for 'generate_random_array'. Includes input schema via type annotations and docstring. Delegates execution to the helper function in utils.py.
@mcp.tool() async def generate_random_array(salt: str = "", array_length: int = 1, min_value: int = 0, max_value: int = 1000000, allow_duplicates: bool = True) -> str: """Random Array Generator Generate a random array of specified length Args: salt (str, optional): Random number salt value. Defaults to "". array_length (int, optional): Array length. Defaults to 1. min_value (int, optional): Minimum value. Defaults to 0. max_value (int, optional): Maximum value. Defaults to 1000000. allow_duplicates (bool, optional): Allow duplicate values. Defaults to True. Returns: str: JSON string containing the random array Application Scenarios: 1. Batch random number generation 2. Random sampling 3. Test dataset generation 4. Random task assignment """ return await random_array_generator(salt, array_length, min_value, max_value, allow_duplicates) - utils.py:237-265 (helper)Core helper function implementing the random array generation logic using blockchain-derived entropy, seed derivation, and NumPy random functions.
async def random_array_generator(array_length: int = 1, min_value: int = 0, max_value: int = 1000000, allow_duplicates: bool = True, salt: str="") -> Dict: """Random array generator""" random_num = await get_random_str() if not random_num: return {"error": "Failed to get random number"} request_id = generate_request_id(random_num) seed = _derive_seed(request_id, salt) np.random.seed(seed) if allow_duplicates: random_array = np.random.randint(min_value, max_value + 1, size=array_length).tolist() else: # Ensure no duplicates if (max_value - min_value + 1) < array_length: raise ValueError("Range is too small to generate non-duplicate values") random_array = np.random.choice( range(min_value, max_value + 1), size=array_length, replace=False ).tolist() result = { "requestId": request_id, "randomArray": random_array } return result