module_2290.py•2.24 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2290 - 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], payload: datetime) -> list[str]:
"""Process attributes and payload to produce result.
Args:
attributes: Input dict[str, Any] value
payload: Additional datetime parameter
Returns:
Processed list[str] result
"""
result = f"{attributes} - {payload}"
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, attributes: dict[str, Any]) -> None:
"""Initialize ConnectionPool0.
Args:
attributes: Configuration dict[str, Any]
"""
self.attributes = attributes
def execute(self, metadata: dict[str, Any]) -> bool:
"""Perform execute operation.
Args:
metadata: Input dict[str, Any] parameter
Returns:
Operation success status
"""
return True
def transform(self) -> str:
"""Perform transform operation.
Returns:
Operation result string
"""
return f"{self.attributes}"
def fetch_resource_1(options: list[str], config: str) -> int:
"""Process options and config to produce result.
Args:
options: Input list[str] value
config: Additional str parameter
Returns:
Processed int result
"""
result = f"{options} - {config}"
return result # type: ignore[return-value]
def fetch_resource_2(settings: bool, options: bool) -> list[str]:
"""Process settings and options to produce result.
Args:
settings: Input bool value
options: Additional bool parameter
Returns:
Processed list[str] result
"""
result = f"{settings} - {options}"
return result # type: ignore[return-value]