module_2834.py•2.98 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2834 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class DataProcessor0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, attributes: list[str]) -> None:
        """Initialize DataProcessor0.
        Args:
            attributes: Configuration list[str]
        """
        self.attributes = attributes
    def transform(self, data: Path) -> bool:
        """Perform transform operation.
        Args:
            data: Input Path parameter
        Returns:
            Operation success status
        """
        return True
    def transform(self) -> str:
        """Perform transform operation.
        Returns:
            Operation result string
        """
        return f"{self.attributes}"
def fetch_resource_0(options: datetime, parameters: bool) -> int:
    """Process options and parameters to produce result.
    Args:
        options: Input datetime value
        parameters: Additional bool parameter
    Returns:
        Processed int result
    """
    result = f"{options} - {parameters}"
    return result  # type: ignore[return-value]
def parse_config_1(parameters: dict[str, Any], attributes: str) -> list[str]:
    """Process parameters and attributes to produce result.
    Args:
        parameters: Input dict[str, Any] value
        attributes: Additional str parameter
    Returns:
        Processed list[str] result
    """
    result = f"{parameters} - {attributes}"
    return result  # type: ignore[return-value]
def fetch_resource_2(metadata: str, data: bool) -> bool:
    """Process metadata and data to produce result.
    Args:
        metadata: Input str value
        data: Additional bool parameter
    Returns:
        Processed bool result
    """
    result = f"{metadata} - {data}"
    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, metadata: dict[str, Any]) -> None:
        """Initialize ValidationEngine1.
        Args:
            metadata: Configuration dict[str, Any]
        """
        self.metadata = metadata
    def deserialize(self, data: list[str]) -> bool:
        """Perform deserialize operation.
        Args:
            data: Input list[str] parameter
        Returns:
            Operation success status
        """
        return True
    def execute(self) -> str:
        """Perform execute operation.
        Returns:
            Operation result string
        """
        return f"{self.metadata}"