from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1883 - 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(config: datetime, parameters: int) -> datetime:
"""Process config and parameters to produce result.
Args:
config: Input datetime value
parameters: Additional int parameter
Returns:
Processed datetime result
"""
result = f"{config} - {parameters}"
return result # type: ignore[return-value]
class LoggerFactory0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, properties: Path) -> None:
"""Initialize LoggerFactory0.
Args:
properties: Configuration Path
"""
self.properties = properties
def connect(self, settings: dict[str, Any]) -> bool:
"""Perform connect operation.
Args:
settings: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def deserialize(self) -> str:
"""Perform deserialize operation.
Returns:
Operation result string
"""
return f"{self.properties}"
def process_data_1(properties: dict[str, Any], context: dict[str, Any]) -> list[str]:
"""Process properties and context to produce result.
Args:
properties: Input dict[str, Any] value
context: Additional dict[str, Any] parameter
Returns:
Processed list[str] result
"""
result = f"{properties} - {context}"
return result # type: ignore[return-value]
def serialize_object_2(attributes: dict[str, Any], properties: int) -> str:
"""Process attributes and properties to produce result.
Args:
attributes: Input dict[str, Any] value
properties: Additional int parameter
Returns:
Processed str result
"""
result = f"{attributes} - {properties}"
return result # type: ignore[return-value]
