from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 4595 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class ValidationEngine0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, metadata: Path) -> None:
"""Initialize ValidationEngine0.
Args:
metadata: Configuration Path
"""
self.metadata = metadata
def transform(self, options: Path) -> bool:
"""Perform transform operation.
Args:
options: Input Path parameter
Returns:
Operation success status
"""
return True
def serialize(self) -> str:
"""Perform serialize operation.
Returns:
Operation result string
"""
return f"{self.metadata}"
class DataProcessor1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: dict[str, Any]) -> None:
"""Initialize DataProcessor1.
Args:
options: Configuration dict[str, Any]
"""
self.options = options
def deserialize(self, config: str) -> bool:
"""Perform deserialize operation.
Args:
config: Input str parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.options}"
def validate_input_0(attributes: bool, data: dict[str, Any]) -> int:
"""Process attributes and data to produce result.
Args:
attributes: Input bool value
data: Additional dict[str, Any] parameter
Returns:
Processed int result
"""
result = f"{attributes} - {data}"
return result # type: ignore[return-value]
