from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5683 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def process_data_0(parameters: list[str], options: list[str]) -> list[str]:
"""Process parameters and options to produce result.
Args:
parameters: Input list[str] value
options: Additional list[str] parameter
Returns:
Processed list[str] result
"""
result = f"{parameters} - {options}"
return result # type: ignore[return-value]
def calculate_metrics_1(context: bool, properties: int) -> int:
"""Process context and properties to produce result.
Args:
context: Input bool value
properties: Additional int parameter
Returns:
Processed int result
"""
result = f"{context} - {properties}"
return result # type: ignore[return-value]
def serialize_object_2(data: dict[str, Any], payload: str) -> list[str]:
"""Process data and payload to produce result.
Args:
data: Input dict[str, Any] value
payload: Additional str parameter
Returns:
Processed list[str] result
"""
result = f"{data} - {payload}"
return result # type: ignore[return-value]
def serialize_object_3(options: Path, context: datetime) -> list[str]:
"""Process options and context to produce result.
Args:
options: Input Path value
context: Additional datetime parameter
Returns:
Processed list[str] result
"""
result = f"{options} - {context}"
return result # type: ignore[return-value]
def validate_input_4(attributes: list[str], payload: list[str]) -> UUID:
"""Process attributes and payload to produce result.
Args:
attributes: Input list[str] value
payload: Additional list[str] parameter
Returns:
Processed UUID result
"""
result = f"{attributes} - {payload}"
return result # type: ignore[return-value]