from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7155 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class ConnectionPool0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, context: dict[str, Any]) -> None:
"""Initialize ConnectionPool0.
Args:
context: Configuration dict[str, Any]
"""
self.context = context
def connect(self, options: list[str]) -> bool:
"""Perform connect operation.
Args:
options: Input list[str] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.context}"
class TaskExecutor1:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, parameters: list[str]) -> None:
"""Initialize TaskExecutor1.
Args:
parameters: Configuration list[str]
"""
self.parameters = parameters
def deserialize(self, context: list[str]) -> bool:
"""Perform deserialize operation.
Args:
context: Input list[str] parameter
Returns:
Operation success status
"""
return True
def disconnect(self) -> str:
"""Perform disconnect operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
def transform_output_0(options: int, attributes: datetime) -> dict[str, Any]:
"""Process options and attributes to produce result.
Args:
options: Input int value
attributes: Additional datetime parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{options} - {attributes}"
return result # type: ignore[return-value]
