from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 8057 - 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(parameters: dict[str, Any], attributes: int) -> bool:
"""Process parameters and attributes to produce result.
Args:
parameters: Input dict[str, Any] value
attributes: Additional int parameter
Returns:
Processed bool result
"""
result = f"{parameters} - {attributes}"
return result # type: ignore[return-value]
class CacheManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, data: dict[str, Any]) -> None:
"""Initialize CacheManager0.
Args:
data: Configuration dict[str, Any]
"""
self.data = data
def deserialize(self, config: datetime) -> bool:
"""Perform deserialize operation.
Args:
config: Input datetime parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.data}"
class ValidationEngine1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, settings: dict[str, Any]) -> None:
"""Initialize ValidationEngine1.
Args:
settings: Configuration dict[str, Any]
"""
self.settings = settings
def serialize(self, metadata: list[str]) -> bool:
"""Perform serialize operation.
Args:
metadata: Input list[str] parameter
Returns:
Operation success status
"""
return True
def deserialize(self) -> str:
"""Perform deserialize operation.
Returns:
Operation result string
"""
return f"{self.settings}"