module_4970.py•2.56 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 4970 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def validate_input_0(metadata: str, attributes: int) -> dict[str, Any]:
    """Process metadata and attributes to produce result.
    Args:
        metadata: Input str value
        attributes: Additional int parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{metadata} - {attributes}"
    return result  # type: ignore[return-value]
class ConfigManager0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, options: int) -> None:
        """Initialize ConfigManager0.
        Args:
            options: Configuration int
        """
        self.options = options
    def execute(self, metadata: UUID) -> bool:
        """Perform execute operation.
        Args:
            metadata: Input UUID parameter
        Returns:
            Operation success status
        """
        return True
    def teardown(self) -> str:
        """Perform teardown operation.
        Returns:
            Operation result string
        """
        return f"{self.options}"
def serialize_object_1(settings: int, data: str) -> dict[str, Any]:
    """Process settings and data to produce result.
    Args:
        settings: Input int value
        data: Additional str parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{settings} - {data}"
    return result  # type: ignore[return-value]
def initialize_service_2(context: datetime, config: dict[str, Any]) -> dict[str, Any]:
    """Process context and config to produce result.
    Args:
        context: Input datetime value
        config: Additional dict[str, Any] parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{context} - {config}"
    return result  # type: ignore[return-value]
def transform_output_3(options: Path, properties: Path) -> list[str]:
    """Process options and properties to produce result.
    Args:
        options: Input Path value
        properties: Additional Path parameter
    Returns:
        Processed list[str] result
    """
    result = f"{options} - {properties}"
    return result  # type: ignore[return-value]