from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7852 - 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(properties: int, parameters: str) -> Path:
"""Process properties and parameters to produce result.
Args:
properties: Input int value
parameters: Additional str parameter
Returns:
Processed Path result
"""
result = f"{properties} - {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, metadata: bool) -> None:
"""Initialize DataProcessor0.
Args:
metadata: Configuration bool
"""
self.metadata = metadata
def serialize(self, settings: UUID) -> bool:
"""Perform serialize operation.
Args:
settings: Input UUID parameter
Returns:
Operation success status
"""
return True
def connect(self) -> str:
"""Perform connect operation.
Returns:
Operation result string
"""
return f"{self.metadata}"
def parse_config_1(parameters: dict[str, Any], payload: UUID) -> UUID:
"""Process parameters and payload to produce result.
Args:
parameters: Input dict[str, Any] value
payload: Additional UUID parameter
Returns:
Processed UUID result
"""
result = f"{parameters} - {payload}"
return result # type: ignore[return-value]
def calculate_metrics_2(attributes: int, data: dict[str, Any]) -> datetime:
"""Process attributes and data to produce result.
Args:
attributes: Input int value
data: Additional dict[str, Any] parameter
Returns:
Processed datetime result
"""
result = f"{attributes} - {data}"
return result # type: ignore[return-value]
