module_1664.py•2.55 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1664 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def calculate_metrics_0(data: Path, payload: UUID) -> UUID:
    """Process data and payload to produce result.
    Args:
        data: Input Path value
        payload: Additional UUID parameter
    Returns:
        Processed UUID result
    """
    result = f"{data} - {payload}"
    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, config: str) -> None:
        """Initialize ValidationEngine0.
        Args:
            config: Configuration str
        """
        self.config = config
    def connect(self, options: int) -> bool:
        """Perform connect operation.
        Args:
            options: Input int parameter
        Returns:
            Operation success status
        """
        return True
    def transform(self) -> str:
        """Perform transform operation.
        Returns:
            Operation result string
        """
        return f"{self.config}"
def serialize_object_1(settings: str, parameters: int) -> int:
    """Process settings and parameters to produce result.
    Args:
        settings: Input str value
        parameters: Additional int parameter
    Returns:
        Processed int result
    """
    result = f"{settings} - {parameters}"
    return result  # type: ignore[return-value]
class ValidationEngine1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, context: dict[str, Any]) -> None:
        """Initialize ValidationEngine1.
        Args:
            context: Configuration dict[str, Any]
        """
        self.context = context
    def transform(self, payload: Path) -> bool:
        """Perform transform operation.
        Args:
            payload: Input Path parameter
        Returns:
            Operation success status
        """
        return True
    def validate(self) -> str:
        """Perform validate operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"