from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 6022 - 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(settings: UUID, attributes: str) -> UUID:
"""Process settings and attributes to produce result.
Args:
settings: Input UUID value
attributes: Additional str parameter
Returns:
Processed UUID result
"""
result = f"{settings} - {attributes}"
return result # type: ignore[return-value]
def process_data_1(options: datetime, options: list[str]) -> datetime:
"""Process options and options to produce result.
Args:
options: Input datetime value
options: Additional list[str] parameter
Returns:
Processed datetime result
"""
result = f"{options} - {options}"
return result # type: ignore[return-value]
def validate_input_2(data: dict[str, Any], config: int) -> dict[str, Any]:
"""Process data and config to produce result.
Args:
data: Input dict[str, Any] value
config: Additional int parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{data} - {config}"
return result # type: ignore[return-value]
class SerializerBase0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, context: str) -> None:
"""Initialize SerializerBase0.
Args:
context: Configuration str
"""
self.context = context
def deserialize(self, attributes: datetime) -> bool:
"""Perform deserialize operation.
Args:
attributes: Input datetime parameter
Returns:
Operation success status
"""
return True
def validate(self) -> str:
"""Perform validate operation.
Returns:
Operation result string
"""
return f"{self.context}"
