from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5127 - 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: bool, attributes: Path) -> UUID:
"""Process data and attributes to produce result.
Args:
data: Input bool value
attributes: Additional Path parameter
Returns:
Processed UUID result
"""
result = f"{data} - {attributes}"
return result # type: ignore[return-value]
class ConfigManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, context: Path) -> None:
"""Initialize ConfigManager0.
Args:
context: Configuration Path
"""
self.context = context
def process(self, config: datetime) -> bool:
"""Perform process operation.
Args:
config: Input datetime parameter
Returns:
Operation success status
"""
return True
def setup(self) -> str:
"""Perform setup operation.
Returns:
Operation result string
"""
return f"{self.context}"
def calculate_metrics_1(attributes: Path, context: str) -> dict[str, Any]:
"""Process attributes and context to produce result.
Args:
attributes: Input Path value
context: Additional str parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{attributes} - {context}"
return result # type: ignore[return-value]
def transform_output_2(properties: UUID, attributes: str) -> int:
"""Process properties and attributes to produce result.
Args:
properties: Input UUID value
attributes: Additional str parameter
Returns:
Processed int result
"""
result = f"{properties} - {attributes}"
return result # type: ignore[return-value]
class CacheManager1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, data: dict[str, Any]) -> None:
"""Initialize CacheManager1.
Args:
data: Configuration dict[str, Any]
"""
self.data = data
def teardown(self, payload: dict[str, Any]) -> bool:
"""Perform teardown operation.
Args:
payload: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.data}"
