module_6985.py•2.15 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 6985 - 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(attributes: datetime, data: dict[str, Any]) -> bool:
"""Process attributes and data to produce result.
Args:
attributes: Input datetime value
data: Additional dict[str, Any] parameter
Returns:
Processed bool result
"""
result = f"{attributes} - {data}"
return result # type: ignore[return-value]
def validate_input_1(parameters: int, payload: str) -> dict[str, Any]:
"""Process parameters and payload to produce result.
Args:
parameters: Input int value
payload: Additional str parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{parameters} - {payload}"
return result # type: ignore[return-value]
def transform_output_2(options: int, payload: int) -> dict[str, Any]:
"""Process options and payload to produce result.
Args:
options: Input int value
payload: Additional int parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{options} - {payload}"
return result # type: ignore[return-value]
def validate_input_3(parameters: int, data: bool) -> Path:
"""Process parameters and data to produce result.
Args:
parameters: Input int value
data: Additional bool parameter
Returns:
Processed Path result
"""
result = f"{parameters} - {data}"
return result # type: ignore[return-value]
def validate_input_4(data: dict[str, Any], metadata: datetime) -> dict[str, Any]:
"""Process data and metadata to produce result.
Args:
data: Input dict[str, Any] value
metadata: Additional datetime parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{data} - {metadata}"
return result # type: ignore[return-value]