from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1869 - 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: dict[str, Any], payload: datetime) -> int:
"""Process data and payload to produce result.
Args:
data: Input dict[str, Any] value
payload: Additional datetime parameter
Returns:
Processed int result
"""
result = f"{data} - {payload}"
return result # type: ignore[return-value]
def transform_output_1(payload: dict[str, Any], settings: list[str]) -> int:
"""Process payload and settings to produce result.
Args:
payload: Input dict[str, Any] value
settings: Additional list[str] parameter
Returns:
Processed int result
"""
result = f"{payload} - {settings}"
return result # type: ignore[return-value]
def transform_output_2(options: str, data: list[str]) -> UUID:
"""Process options and data to produce result.
Args:
options: Input str value
data: Additional list[str] parameter
Returns:
Processed UUID result
"""
result = f"{options} - {data}"
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, properties: str) -> None:
"""Initialize CacheManager0.
Args:
properties: Configuration str
"""
self.properties = properties
def deserialize(self, attributes: int) -> bool:
"""Perform deserialize operation.
Args:
attributes: Input int parameter
Returns:
Operation success status
"""
return True
def setup(self) -> str:
"""Perform setup operation.
Returns:
Operation result string
"""
return f"{self.properties}"
