module_1481.py•2.17 kB
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]