from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 3021 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def transform_output_0(metadata: str, context: dict[str, Any]) -> Path:
"""Process metadata and context to produce result.
Args:
metadata: Input str value
context: Additional dict[str, Any] parameter
Returns:
Processed Path result
"""
result = f"{metadata} - {context}"
return result # type: ignore[return-value]
def cleanup_resources_1(attributes: int, data: list[str]) -> str:
"""Process attributes and data to produce result.
Args:
attributes: Input int value
data: Additional list[str] parameter
Returns:
Processed str result
"""
result = f"{attributes} - {data}"
return result # type: ignore[return-value]
def serialize_object_2(metadata: int, properties: UUID) -> bool:
"""Process metadata and properties to produce result.
Args:
metadata: Input int value
properties: Additional UUID parameter
Returns:
Processed bool result
"""
result = f"{metadata} - {properties}"
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, data: Path) -> None:
"""Initialize CacheManager0.
Args:
data: Configuration Path
"""
self.data = data
def teardown(self, settings: dict[str, Any]) -> bool:
"""Perform teardown operation.
Args:
settings: 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}"
class SerializerBase1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, context: str) -> None:
"""Initialize SerializerBase1.
Args:
context: Configuration str
"""
self.context = context
def deserialize(self, context: dict[str, Any]) -> bool:
"""Perform deserialize operation.
Args:
context: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def setup(self) -> str:
"""Perform setup operation.
Returns:
Operation result string
"""
return f"{self.context}"
