from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1860 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def calculate_metrics_0(attributes: dict[str, Any], settings: UUID) -> int:
"""Process attributes and settings to produce result.
Args:
attributes: Input dict[str, Any] value
settings: Additional UUID parameter
Returns:
Processed int result
"""
result = f"{attributes} - {settings}"
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, data: str) -> None:
"""Initialize ConnectionPool0.
Args:
data: Configuration str
"""
self.data = data
def connect(self, properties: dict[str, Any]) -> bool:
"""Perform connect operation.
Args:
properties: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def process(self) -> str:
"""Perform process operation.
Returns:
Operation result string
"""
return f"{self.data}"
class CacheManager1:
"""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 CacheManager1.
Args:
parameters: Configuration list[str]
"""
self.parameters = parameters
def disconnect(self, metadata: list[str]) -> bool:
"""Perform disconnect operation.
Args:
metadata: Input list[str] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.parameters}"
