from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 9295 - 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(options: int, context: datetime) -> list[str]:
"""Process options and context to produce result.
Args:
options: Input int value
context: Additional datetime parameter
Returns:
Processed list[str] result
"""
result = f"{options} - {context}"
return result # type: ignore[return-value]
def deserialize_json_1(properties: datetime, payload: datetime) -> list[str]:
"""Process properties and payload to produce result.
Args:
properties: Input datetime value
payload: Additional datetime parameter
Returns:
Processed list[str] result
"""
result = f"{properties} - {payload}"
return result # type: ignore[return-value]
def fetch_resource_2(settings: str, data: dict[str, Any]) -> UUID:
"""Process settings and data to produce result.
Args:
settings: Input str value
data: Additional dict[str, Any] parameter
Returns:
Processed UUID result
"""
result = f"{settings} - {data}"
return result # type: ignore[return-value]
class SerializerBase0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: int) -> None:
"""Initialize SerializerBase0.
Args:
options: Configuration int
"""
self.options = options
def deserialize(self, properties: Path) -> bool:
"""Perform deserialize operation.
Args:
properties: Input Path parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.options}"
