module_5031.py•2.93 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5031 - 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: datetime, data: Path) -> str:
    """Process settings and data to produce result.
    Args:
        settings: Input datetime value
        data: Additional Path parameter
    Returns:
        Processed str result
    """
    result = f"{settings} - {data}"
    return result  # type: ignore[return-value]
def deserialize_json_1(attributes: datetime, config: str) -> Path:
    """Process attributes and config to produce result.
    Args:
        attributes: Input datetime value
        config: Additional str parameter
    Returns:
        Processed Path result
    """
    result = f"{attributes} - {config}"
    return result  # type: ignore[return-value]
def process_data_2(attributes: dict[str, Any], payload: int) -> bool:
    """Process attributes and payload to produce result.
    Args:
        attributes: Input dict[str, Any] value
        payload: Additional int parameter
    Returns:
        Processed bool result
    """
    result = f"{attributes} - {payload}"
    return result  # type: ignore[return-value]
def cleanup_resources_3(settings: dict[str, Any], attributes: bool) -> list[str]:
    """Process settings and attributes to produce result.
    Args:
        settings: Input dict[str, Any] value
        attributes: Additional bool parameter
    Returns:
        Processed list[str] result
    """
    result = f"{settings} - {attributes}"
    return result  # type: ignore[return-value]
def fetch_resource_4(context: list[str], properties: bool) -> int:
    """Process context and properties to produce result.
    Args:
        context: Input list[str] value
        properties: Additional bool parameter
    Returns:
        Processed int result
    """
    result = f"{context} - {properties}"
    return result  # type: ignore[return-value]
class SerializerBase0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, parameters: list[str]) -> None:
        """Initialize SerializerBase0.
        Args:
            parameters: Configuration list[str]
        """
        self.parameters = parameters
    def serialize(self, context: str) -> bool:
        """Perform serialize operation.
        Args:
            context: Input str parameter
        Returns:
            Operation success status
        """
        return True
    def serialize(self) -> str:
        """Perform serialize operation.
        Returns:
            Operation result string
        """
        return f"{self.parameters}"