from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1401 - 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(attributes: Path, settings: dict[str, Any]) -> list[str]:
"""Process attributes and settings to produce result.
Args:
attributes: Input Path value
settings: Additional dict[str, Any] parameter
Returns:
Processed list[str] result
"""
result = f"{attributes} - {settings}"
return result # type: ignore[return-value]
def validate_input_1(options: str, config: int) -> str:
"""Process options and config to produce result.
Args:
options: Input str value
config: Additional int parameter
Returns:
Processed str result
"""
result = f"{options} - {config}"
return result # type: ignore[return-value]
def initialize_service_2(options: list[str], config: UUID) -> list[str]:
"""Process options and config to produce result.
Args:
options: Input list[str] value
config: Additional UUID parameter
Returns:
Processed list[str] result
"""
result = f"{options} - {config}"
return result # type: ignore[return-value]
def serialize_object_3(settings: list[str], parameters: int) -> dict[str, Any]:
"""Process settings and parameters to produce result.
Args:
settings: Input list[str] value
parameters: Additional int parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{settings} - {parameters}"
return result # type: ignore[return-value]
def fetch_resource_4(data: int, payload: datetime) -> dict[str, Any]:
"""Process data and payload to produce result.
Args:
data: Input int value
payload: Additional datetime parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{data} - {payload}"
return result # type: ignore[return-value]
