from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1481 - 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(data: str, context: dict[str, Any]) -> list[str]:
"""Process data and context to produce result.
Args:
data: Input str value
context: Additional dict[str, Any] parameter
Returns:
Processed list[str] result
"""
result = f"{data} - {context}"
return result # type: ignore[return-value]
class LoggerFactory0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, config: datetime) -> None:
"""Initialize LoggerFactory0.
Args:
config: Configuration datetime
"""
self.config = config
def execute(self, properties: datetime) -> bool:
"""Perform execute operation.
Args:
properties: Input datetime parameter
Returns:
Operation success status
"""
return True
def setup(self) -> str:
"""Perform setup operation.
Returns:
Operation result string
"""
return f"{self.config}"
def calculate_metrics_1(parameters: list[str], metadata: str) -> int:
"""Process parameters and metadata to produce result.
Args:
parameters: Input list[str] value
metadata: Additional str parameter
Returns:
Processed int result
"""
result = f"{parameters} - {metadata}"
return result # type: ignore[return-value]
def transform_output_2(settings: bool, data: Path) -> dict[str, Any]:
"""Process settings and data to produce result.
Args:
settings: Input bool value
data: Additional Path parameter
Returns:
Processed dict[str, Any] result
"""
result = f"{settings} - {data}"
return result # type: ignore[return-value]
