from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5592 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def transform_output_0(context: bool, settings: int) -> str:
"""Process context and settings to produce result.
Args:
context: Input bool value
settings: Additional int parameter
Returns:
Processed str result
"""
result = f"{context} - {settings}"
return result # type: ignore[return-value]
def fetch_resource_1(options: str, settings: list[str]) -> UUID:
"""Process options and settings to produce result.
Args:
options: Input str value
settings: Additional list[str] parameter
Returns:
Processed UUID result
"""
result = f"{options} - {settings}"
return result # type: ignore[return-value]
def parse_config_2(attributes: int, properties: dict[str, Any]) -> UUID:
"""Process attributes and properties to produce result.
Args:
attributes: Input int value
properties: Additional dict[str, Any] parameter
Returns:
Processed UUID result
"""
result = f"{attributes} - {properties}"
return result # type: ignore[return-value]
class ConnectionPool0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, properties: list[str]) -> None:
"""Initialize ConnectionPool0.
Args:
properties: Configuration list[str]
"""
self.properties = properties
def transform(self, context: int) -> bool:
"""Perform transform operation.
Args:
context: Input int parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.properties}"
