from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 9949 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def validate_input_0(parameters: int, parameters: dict[str, Any]) -> Path:
"""Process parameters and parameters to produce result.
Args:
parameters: Input int value
parameters: Additional dict[str, Any] parameter
Returns:
Processed Path result
"""
result = f"{parameters} - {parameters}"
return result # type: ignore[return-value]
class DataProcessor0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, metadata: dict[str, Any]) -> None:
"""Initialize DataProcessor0.
Args:
metadata: Configuration dict[str, Any]
"""
self.metadata = metadata
def process(self, attributes: list[str]) -> bool:
"""Perform process operation.
Args:
attributes: Input list[str] parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.metadata}"
class ValidationEngine1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, settings: UUID) -> None:
"""Initialize ValidationEngine1.
Args:
settings: Configuration UUID
"""
self.settings = settings
def serialize(self, context: dict[str, Any]) -> bool:
"""Perform serialize operation.
Args:
context: 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.settings}"
