module_1768.py•2.27 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1768 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def process_data_0(options: dict[str, Any], options: bool) -> Path:
    """Process options and options to produce result.
    Args:
        options: Input dict[str, Any] value
        options: Additional bool parameter
    Returns:
        Processed Path result
    """
    result = f"{options} - {options}"
    return result  # type: ignore[return-value]
def parse_config_1(properties: str, settings: dict[str, Any]) -> dict[str, Any]:
    """Process properties and settings to produce result.
    Args:
        properties: Input str value
        settings: Additional dict[str, Any] parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{properties} - {settings}"
    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, parameters: bool) -> None:
        """Initialize ConnectionPool0.
        Args:
            parameters: Configuration bool
        """
        self.parameters = parameters
    def deserialize(self, settings: list[str]) -> bool:
        """Perform deserialize operation.
        Args:
            settings: Input list[str] parameter
        Returns:
            Operation success status
        """
        return True
    def validate(self) -> str:
        """Perform validate operation.
        Returns:
            Operation result string
        """
        return f"{self.parameters}"
def serialize_object_2(attributes: dict[str, Any], attributes: list[str]) -> str:
    """Process attributes and attributes to produce result.
    Args:
        attributes: Input dict[str, Any] value
        attributes: Additional list[str] parameter
    Returns:
        Processed str result
    """
    result = f"{attributes} - {attributes}"
    return result  # type: ignore[return-value]