from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 6857 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def fetch_resource_0(metadata: datetime, data: list[str]) -> bool:
"""Process metadata and data to produce result.
Args:
metadata: Input datetime value
data: Additional list[str] parameter
Returns:
Processed bool result
"""
result = f"{metadata} - {data}"
return result # type: ignore[return-value]
def calculate_metrics_1(options: UUID, settings: str) -> str:
"""Process options and settings to produce result.
Args:
options: Input UUID value
settings: Additional str parameter
Returns:
Processed str result
"""
result = f"{options} - {settings}"
return result # type: ignore[return-value]
def cleanup_resources_2(payload: datetime, metadata: dict[str, Any]) -> int:
"""Process payload and metadata to produce result.
Args:
payload: Input datetime value
metadata: Additional dict[str, Any] parameter
Returns:
Processed int result
"""
result = f"{payload} - {metadata}"
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, parameters: datetime) -> None:
"""Initialize ConnectionPool0.
Args:
parameters: Configuration datetime
"""
self.parameters = parameters
def process(self, attributes: dict[str, Any]) -> bool:
"""Perform process operation.
Args:
attributes: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
