module_5013.py•2.56 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5013 - 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(attributes: UUID, properties: datetime) -> str:
    """Process attributes and properties to produce result.
    Args:
        attributes: Input UUID value
        properties: Additional datetime parameter
    Returns:
        Processed str result
    """
    result = f"{attributes} - {properties}"
    return result  # type: ignore[return-value]
def fetch_resource_1(context: Path, config: datetime) -> dict[str, Any]:
    """Process context and config to produce result.
    Args:
        context: Input Path value
        config: Additional datetime parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{context} - {config}"
    return result  # type: ignore[return-value]
def initialize_service_2(parameters: datetime, payload: int) -> int:
    """Process parameters and payload to produce result.
    Args:
        parameters: Input datetime value
        payload: Additional int parameter
    Returns:
        Processed int result
    """
    result = f"{parameters} - {payload}"
    return result  # type: ignore[return-value]
def fetch_resource_3(payload: Path, metadata: list[str]) -> bool:
    """Process payload and metadata to produce result.
    Args:
        payload: Input Path value
        metadata: Additional list[str] parameter
    Returns:
        Processed bool result
    """
    result = f"{payload} - {metadata}"
    return result  # type: ignore[return-value]
class DataProcessor0:
    """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 DataProcessor0.
        Args:
            context: Configuration dict[str, Any]
        """
        self.context = context
    def transform(self, properties: str) -> bool:
        """Perform transform operation.
        Args:
            properties: Input str parameter
        Returns:
            Operation success status
        """
        return True
    def connect(self) -> str:
        """Perform connect operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"