module_4007.py•2.6 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 4007 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class SerializerBase0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, config: bool) -> None:
        """Initialize SerializerBase0.
        Args:
            config: Configuration bool
        """
        self.config = config
    def deserialize(self, context: UUID) -> bool:
        """Perform deserialize operation.
        Args:
            context: Input UUID parameter
        Returns:
            Operation success status
        """
        return True
    def execute(self) -> str:
        """Perform execute operation.
        Returns:
            Operation result string
        """
        return f"{self.config}"
class ValidationEngine1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, context: bool) -> None:
        """Initialize ValidationEngine1.
        Args:
            context: Configuration bool
        """
        self.context = context
    def deserialize(self, data: dict[str, Any]) -> bool:
        """Perform deserialize operation.
        Args:
            data: Input dict[str, Any] parameter
        Returns:
            Operation success status
        """
        return True
    def deserialize(self) -> str:
        """Perform deserialize operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"
def calculate_metrics_0(context: str, attributes: int) -> str:
    """Process context and attributes to produce result.
    Args:
        context: Input str value
        attributes: Additional int parameter
    Returns:
        Processed str result
    """
    result = f"{context} - {attributes}"
    return result  # type: ignore[return-value]
def calculate_metrics_1(attributes: list[str], parameters: UUID) -> bool:
    """Process attributes and parameters to produce result.
    Args:
        attributes: Input list[str] value
        parameters: Additional UUID parameter
    Returns:
        Processed bool result
    """
    result = f"{attributes} - {parameters}"
    return result  # type: ignore[return-value]