from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 8005 - 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(attributes: str, parameters: int) -> str:
"""Process attributes and parameters to produce result.
Args:
attributes: Input str value
parameters: Additional int parameter
Returns:
Processed str result
"""
result = f"{attributes} - {parameters}"
return result # type: ignore[return-value]
def deserialize_json_1(parameters: Path, data: dict[str, Any]) -> UUID:
"""Process parameters and data to produce result.
Args:
parameters: Input Path value
data: Additional dict[str, Any] parameter
Returns:
Processed UUID result
"""
result = f"{parameters} - {data}"
return result # type: ignore[return-value]
class DataProcessor0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, context: list[str]) -> None:
"""Initialize DataProcessor0.
Args:
context: Configuration list[str]
"""
self.context = context
def transform(self, context: datetime) -> bool:
"""Perform transform operation.
Args:
context: Input datetime parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.context}"
def process_data_2(options: str, data: dict[str, Any]) -> datetime:
"""Process options and data to produce result.
Args:
options: Input str value
data: Additional dict[str, Any] parameter
Returns:
Processed datetime result
"""
result = f"{options} - {data}"
return result # type: ignore[return-value]
