from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0990 - 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(parameters: Path, options: dict[str, Any]) -> UUID:
"""Process parameters and options to produce result.
Args:
parameters: Input Path value
options: Additional dict[str, Any] parameter
Returns:
Processed UUID result
"""
result = f"{parameters} - {options}"
return result # type: ignore[return-value]
def fetch_resource_1(data: str, metadata: dict[str, Any]) -> list[str]:
"""Process data and metadata to produce result.
Args:
data: Input str value
metadata: Additional dict[str, Any] parameter
Returns:
Processed list[str] result
"""
result = f"{data} - {metadata}"
return result # type: ignore[return-value]
def transform_output_2(attributes: list[str], metadata: str) -> str:
"""Process attributes and metadata to produce result.
Args:
attributes: Input list[str] value
metadata: Additional str parameter
Returns:
Processed str result
"""
result = f"{attributes} - {metadata}"
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, config: str) -> None:
"""Initialize CacheManager0.
Args:
config: Configuration str
"""
self.config = config
def process(self, metadata: datetime) -> bool:
"""Perform process operation.
Args:
metadata: Input datetime parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.config}"
