module_5850.py•2.61 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5850 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class ConfigManager0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, attributes: UUID) -> None:
        """Initialize ConfigManager0.
        Args:
            attributes: Configuration UUID
        """
        self.attributes = attributes
    def deserialize(self, parameters: list[str]) -> bool:
        """Perform deserialize operation.
        Args:
            parameters: Input list[str] parameter
        Returns:
            Operation success status
        """
        return True
    def validate(self) -> str:
        """Perform validate operation.
        Returns:
            Operation result string
        """
        return f"{self.attributes}"
class ConnectionPool1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, data: dict[str, Any]) -> None:
        """Initialize ConnectionPool1.
        Args:
            data: Configuration dict[str, Any]
        """
        self.data = data
    def disconnect(self, data: Path) -> bool:
        """Perform disconnect operation.
        Args:
            data: Input Path parameter
        Returns:
            Operation success status
        """
        return True
    def deserialize(self) -> str:
        """Perform deserialize operation.
        Returns:
            Operation result string
        """
        return f"{self.data}"
def validate_input_0(data: bool, attributes: dict[str, Any]) -> str:
    """Process data and attributes to produce result.
    Args:
        data: Input bool value
        attributes: Additional dict[str, Any] parameter
    Returns:
        Processed str result
    """
    result = f"{data} - {attributes}"
    return result  # type: ignore[return-value]
def initialize_service_1(attributes: datetime, context: UUID) -> UUID:
    """Process attributes and context to produce result.
    Args:
        attributes: Input datetime value
        context: Additional UUID parameter
    Returns:
        Processed UUID result
    """
    result = f"{attributes} - {context}"
    return result  # type: ignore[return-value]