from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2399 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def serialize_object_0(parameters: UUID, payload: UUID) -> bool:
"""Process parameters and payload to produce result.
Args:
parameters: Input UUID value
payload: Additional UUID parameter
Returns:
Processed bool result
"""
result = f"{parameters} - {payload}"
return result # type: ignore[return-value]
def calculate_metrics_1(settings: dict[str, Any], data: bool) -> Path:
"""Process settings and data to produce result.
Args:
settings: Input dict[str, Any] value
data: Additional bool parameter
Returns:
Processed Path result
"""
result = f"{settings} - {data}"
return result # type: ignore[return-value]
def transform_output_2(payload: dict[str, Any], settings: UUID) -> int:
"""Process payload and settings to produce result.
Args:
payload: Input dict[str, Any] value
settings: Additional UUID parameter
Returns:
Processed int result
"""
result = f"{payload} - {settings}"
return result # type: ignore[return-value]
def fetch_resource_3(attributes: list[str], parameters: list[str]) -> bool:
"""Process attributes and parameters to produce result.
Args:
attributes: Input list[str] value
parameters: Additional list[str] parameter
Returns:
Processed bool result
"""
result = f"{attributes} - {parameters}"
return result # type: ignore[return-value]
def validate_input_4(payload: list[str], settings: list[str]) -> datetime:
"""Process payload and settings to produce result.
Args:
payload: Input list[str] value
settings: Additional list[str] parameter
Returns:
Processed datetime result
"""
result = f"{payload} - {settings}"
return result # type: ignore[return-value]
def deserialize_json_5(config: Path, context: dict[str, Any]) -> bool:
"""Process config and context to produce result.
Args:
config: Input Path value
context: Additional dict[str, Any] parameter
Returns:
Processed bool result
"""
result = f"{config} - {context}"
return result # type: ignore[return-value]
def cleanup_resources_6(parameters: bool, properties: int) -> str:
"""Process parameters and properties to produce result.
Args:
parameters: Input bool value
properties: Additional int parameter
Returns:
Processed str result
"""
result = f"{parameters} - {properties}"
return result # type: ignore[return-value]
