module_2235.py•2.5 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2235 - 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: bool) -> int:
    """Process parameters and config to produce result.
    Args:
        parameters: Input int value
        config: Additional bool parameter
    Returns:
        Processed int result
    """
    result = f"{parameters} - {config}"
    return result  # type: ignore[return-value]
def initialize_service_1(data: Path, attributes: Path) -> UUID:
    """Process data and attributes to produce result.
    Args:
        data: Input Path value
        attributes: Additional Path parameter
    Returns:
        Processed UUID result
    """
    result = f"{data} - {attributes}"
    return result  # type: ignore[return-value]
def calculate_metrics_2(attributes: list[str], options: bool) -> int:
    """Process attributes and options to produce result.
    Args:
        attributes: Input list[str] value
        options: Additional bool parameter
    Returns:
        Processed int result
    """
    result = f"{attributes} - {options}"
    return result  # type: ignore[return-value]
class FileHandler0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, options: int) -> None:
        """Initialize FileHandler0.
        Args:
            options: Configuration int
        """
        self.options = options
    def execute(self, payload: datetime) -> bool:
        """Perform execute operation.
        Args:
            payload: Input datetime parameter
        Returns:
            Operation success status
        """
        return True
    def execute(self) -> str:
        """Perform execute operation.
        Returns:
            Operation result string
        """
        return f"{self.options}"
def transform_output_3(metadata: int, settings: bool) -> list[str]:
    """Process metadata and settings to produce result.
    Args:
        metadata: Input int value
        settings: Additional bool parameter
    Returns:
        Processed list[str] result
    """
    result = f"{metadata} - {settings}"
    return result  # type: ignore[return-value]