from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1683 - 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(data: str, data: int) -> dict[str, Any]:
"""Process data and data to produce result.
Args:
data: Input str value
data: Additional int parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{data} - {data}"
return result # type: ignore[return-value]
def parse_config_1(data: UUID, settings: int) -> datetime:
"""Process data and settings to produce result.
Args:
data: Input UUID value
settings: Additional int parameter
Returns:
Processed datetime result
"""
result = f"{data} - {settings}"
return result # type: ignore[return-value]
def serialize_object_2(options: datetime, metadata: int) -> bool:
"""Process options and metadata to produce result.
Args:
options: Input datetime value
metadata: Additional int parameter
Returns:
Processed bool result
"""
result = f"{options} - {metadata}"
return result # type: ignore[return-value]
class ValidationEngine0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, options: int) -> None:
"""Initialize ValidationEngine0.
Args:
options: Configuration int
"""
self.options = options
def serialize(self, metadata: datetime) -> bool:
"""Perform serialize operation.
Args:
metadata: Input datetime parameter
Returns:
Operation success status
"""
return True
def setup(self) -> str:
"""Perform setup operation.
Returns:
Operation result string
"""
return f"{self.options}"
