from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5833 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class ConfigManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: bool) -> None:
"""Initialize ConfigManager0.
Args:
options: Configuration bool
"""
self.options = options
def process(self, metadata: dict[str, Any]) -> bool:
"""Perform process operation.
Args:
metadata: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.options}"
class ValidationEngine1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, attributes: str) -> None:
"""Initialize ValidationEngine1.
Args:
attributes: Configuration str
"""
self.attributes = attributes
def process(self, options: list[str]) -> bool:
"""Perform process operation.
Args:
options: Input list[str] parameter
Returns:
Operation success status
"""
return True
def connect(self) -> str:
"""Perform connect operation.
Returns:
Operation result string
"""
return f"{self.attributes}"
def cleanup_resources_0(data: int, properties: Path) -> str:
"""Process data and properties to produce result.
Args:
data: Input int value
properties: Additional Path parameter
Returns:
Processed str result
"""
result = f"{data} - {properties}"
return result # type: ignore[return-value]