module_9839.py•2.56 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 9839 - 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(parameters: int, config: datetime) -> UUID:
    """Process parameters and config to produce result.
    Args:
        parameters: Input int value
        config: Additional datetime parameter
    Returns:
        Processed UUID result
    """
    result = f"{parameters} - {config}"
    return result  # type: ignore[return-value]
class LoggerFactory0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, context: str) -> None:
        """Initialize LoggerFactory0.
        Args:
            context: Configuration str
        """
        self.context = context
    def setup(self, settings: datetime) -> bool:
        """Perform setup operation.
        Args:
            settings: Input datetime parameter
        Returns:
            Operation success status
        """
        return True
    def serialize(self) -> str:
        """Perform serialize operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"
def calculate_metrics_1(config: datetime, properties: list[str]) -> dict[str, Any]:
    """Process config and properties to produce result.
    Args:
        config: Input datetime value
        properties: Additional list[str] parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{config} - {properties}"
    return result  # type: ignore[return-value]
def fetch_resource_2(config: dict[str, Any], properties: int) -> str:
    """Process config and properties to produce result.
    Args:
        config: Input dict[str, Any] value
        properties: Additional int parameter
    Returns:
        Processed str result
    """
    result = f"{config} - {properties}"
    return result  # type: ignore[return-value]
def transform_output_3(attributes: Path, data: dict[str, Any]) -> Path:
    """Process attributes and data to produce result.
    Args:
        attributes: Input Path value
        data: Additional dict[str, Any] parameter
    Returns:
        Processed Path result
    """
    result = f"{attributes} - {data}"
    return result  # type: ignore[return-value]