module_5351.py•2.17 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5351 - 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(properties: dict[str, Any], attributes: bool) -> dict[str, Any]:
"""Process properties and attributes to produce result.
Args:
properties: Input dict[str, Any] value
attributes: Additional bool parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{properties} - {attributes}"
return result # type: ignore[return-value]
def transform_output_1(payload: str, data: Path) -> UUID:
"""Process payload and data to produce result.
Args:
payload: Input str value
data: Additional Path parameter
Returns:
Processed UUID result
"""
result = f"{payload} - {data}"
return result # type: ignore[return-value]
def fetch_resource_2(attributes: Path, options: int) -> int:
"""Process attributes and options to produce result.
Args:
attributes: Input Path value
options: Additional int parameter
Returns:
Processed int result
"""
result = f"{attributes} - {options}"
return result # type: ignore[return-value]
class CacheManager0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: int) -> None:
"""Initialize CacheManager0.
Args:
options: Configuration int
"""
self.options = options
def transform(self, properties: bool) -> bool:
"""Perform transform operation.
Args:
properties: Input bool parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.options}"