from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 9756 - 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(settings: dict[str, Any], parameters: Path) -> int:
"""Process settings and parameters to produce result.
Args:
settings: Input dict[str, Any] value
parameters: Additional Path parameter
Returns:
Processed int result
"""
result = f"{settings} - {parameters}"
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, data: UUID) -> None:
"""Initialize CacheManager0.
Args:
data: Configuration UUID
"""
self.data = data
def execute(self, properties: str) -> bool:
"""Perform execute operation.
Args:
properties: Input str parameter
Returns:
Operation success status
"""
return True
def validate(self) -> str:
"""Perform validate operation.
Returns:
Operation result string
"""
return f"{self.data}"
class LoggerFactory1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, attributes: list[str]) -> None:
"""Initialize LoggerFactory1.
Args:
attributes: Configuration list[str]
"""
self.attributes = attributes
def validate(self, payload: dict[str, Any]) -> bool:
"""Perform validate operation.
Args:
payload: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.attributes}"
