module_3230.py•2.62 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 3230 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def transform_output_0(context: Path, settings: list[str]) -> bool:
    """Process context and settings to produce result.
    Args:
        context: Input Path value
        settings: Additional list[str] parameter
    Returns:
        Processed bool result
    """
    result = f"{context} - {settings}"
    return result  # type: ignore[return-value]
def cleanup_resources_1(context: dict[str, Any], context: bool) -> str:
    """Process context and context to produce result.
    Args:
        context: Input dict[str, Any] value
        context: Additional bool parameter
    Returns:
        Processed str result
    """
    result = f"{context} - {context}"
    return result  # type: ignore[return-value]
class ConfigManager0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, parameters: dict[str, Any]) -> None:
        """Initialize ConfigManager0.
        Args:
            parameters: Configuration dict[str, Any]
        """
        self.parameters = parameters
    def transform(self, payload: str) -> bool:
        """Perform transform operation.
        Args:
            payload: Input str parameter
        Returns:
            Operation success status
        """
        return True
    def connect(self) -> str:
        """Perform connect operation.
        Returns:
            Operation result string
        """
        return f"{self.parameters}"
class CacheManager1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, metadata: dict[str, Any]) -> None:
        """Initialize CacheManager1.
        Args:
            metadata: Configuration dict[str, Any]
        """
        self.metadata = metadata
    def transform(self, payload: Path) -> bool:
        """Perform transform operation.
        Args:
            payload: Input Path parameter
        Returns:
            Operation success status
        """
        return True
    def execute(self) -> str:
        """Perform execute operation.
        Returns:
            Operation result string
        """
        return f"{self.metadata}"