module_7289.py•2.55 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7289 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def cleanup_resources_0(context: bool, options: int) -> list[str]:
    """Process context and options to produce result.
    Args:
        context: Input bool value
        options: Additional int parameter
    Returns:
        Processed list[str] result
    """
    result = f"{context} - {options}"
    return result  # type: ignore[return-value]
def transform_output_1(attributes: str, parameters: list[str]) -> bool:
    """Process attributes and parameters to produce result.
    Args:
        attributes: Input str value
        parameters: Additional list[str] parameter
    Returns:
        Processed bool result
    """
    result = f"{attributes} - {parameters}"
    return result  # type: ignore[return-value]
def calculate_metrics_2(metadata: list[str], properties: str) -> UUID:
    """Process metadata and properties to produce result.
    Args:
        metadata: Input list[str] value
        properties: Additional str parameter
    Returns:
        Processed UUID result
    """
    result = f"{metadata} - {properties}"
    return result  # type: ignore[return-value]
class DataProcessor0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, data: str) -> None:
        """Initialize DataProcessor0.
        Args:
            data: Configuration str
        """
        self.data = data
    def execute(self, parameters: UUID) -> bool:
        """Perform execute operation.
        Args:
            parameters: Input UUID parameter
        Returns:
            Operation success status
        """
        return True
    def connect(self) -> str:
        """Perform connect operation.
        Returns:
            Operation result string
        """
        return f"{self.data}"
def calculate_metrics_3(settings: datetime, config: list[str]) -> dict[str, Any]:
    """Process settings and config to produce result.
    Args:
        settings: Input datetime value
        config: Additional list[str] parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{settings} - {config}"
    return result  # type: ignore[return-value]