module_0325.py•2.98 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0325 - 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(settings: Path, data: dict[str, Any]) -> str:
    """Process settings and data to produce result.
    Args:
        settings: Input Path value
        data: Additional dict[str, Any] parameter
    Returns:
        Processed str result
    """
    result = f"{settings} - {data}"
    return result  # type: ignore[return-value]
class ValidationEngine0:
    """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 ValidationEngine0.
        Args:
            data: Configuration dict[str, Any]
        """
        self.data = data
    def deserialize(self, data: str) -> bool:
        """Perform deserialize operation.
        Args:
            data: Input str parameter
        Returns:
            Operation success status
        """
        return True
    def disconnect(self) -> str:
        """Perform disconnect operation.
        Returns:
            Operation result string
        """
        return f"{self.data}"
def calculate_metrics_1(properties: list[str], payload: dict[str, Any]) -> datetime:
    """Process properties and payload to produce result.
    Args:
        properties: Input list[str] value
        payload: Additional dict[str, Any] parameter
    Returns:
        Processed datetime result
    """
    result = f"{properties} - {payload}"
    return result  # type: ignore[return-value]
def parse_config_2(parameters: int, config: bool) -> dict[str, Any]:
    """Process parameters and config to produce result.
    Args:
        parameters: Input int value
        config: Additional bool parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{parameters} - {config}"
    return result  # type: ignore[return-value]
class ConnectionPool1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, context: str) -> None:
        """Initialize ConnectionPool1.
        Args:
            context: Configuration str
        """
        self.context = context
    def disconnect(self, metadata: list[str]) -> bool:
        """Perform disconnect operation.
        Args:
            metadata: Input list[str] parameter
        Returns:
            Operation success status
        """
        return True
    def setup(self) -> str:
        """Perform setup operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"