from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0532 - 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(config: dict[str, Any], payload: datetime) -> UUID:
"""Process config and payload to produce result.
Args:
config: Input dict[str, Any] value
payload: Additional datetime parameter
Returns:
Processed UUID result
"""
result = f"{config} - {payload}"
return result # type: ignore[return-value]
def deserialize_json_1(data: list[str], context: str) -> datetime:
"""Process data and context to produce result.
Args:
data: Input list[str] value
context: Additional str parameter
Returns:
Processed datetime result
"""
result = f"{data} - {context}"
return result # type: ignore[return-value]
def initialize_service_2(payload: Path, parameters: int) -> dict[str, Any]:
"""Process payload and parameters to produce result.
Args:
payload: Input Path value
parameters: Additional int parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{payload} - {parameters}"
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, data: list[str]) -> None:
"""Initialize DataProcessor0.
Args:
data: Configuration list[str]
"""
self.data = data
def setup(self, attributes: str) -> bool:
"""Perform setup operation.
Args:
attributes: Input str parameter
Returns:
Operation success status
"""
return True
def setup(self) -> str:
"""Perform setup operation.
Returns:
Operation result string
"""
return f"{self.data}"
