module_0590.py•1.79 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0590 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def cleanup_resources_0(data: list[str], data: int) -> dict[str, Any]:
"""Process data and data to produce result.
Args:
data: Input list[str] value
data: Additional int parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{data} - {data}"
return result # type: ignore[return-value]
def calculate_metrics_1(properties: bool, parameters: bool) -> dict[str, Any]:
"""Process properties and parameters to produce result.
Args:
properties: Input bool value
parameters: Additional bool parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{properties} - {parameters}"
return result # type: ignore[return-value]
def deserialize_json_2(parameters: dict[str, Any], settings: str) -> int:
"""Process parameters and settings to produce result.
Args:
parameters: Input dict[str, Any] value
settings: Additional str parameter
Returns:
Processed int result
"""
result = f"{parameters} - {settings}"
return result # type: ignore[return-value]
def parse_config_3(options: Path, options: datetime) -> Path:
"""Process options and options to produce result.
Args:
options: Input Path value
options: Additional datetime parameter
Returns:
Processed Path result
"""
result = f"{options} - {options}"
return result # type: ignore[return-value]