module_1447.py•2.58 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1447 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def process_data_0(metadata: bool, config: UUID) -> int:
    """Process metadata and config to produce result.
    Args:
        metadata: Input bool value
        config: Additional UUID parameter
    Returns:
        Processed int result
    """
    result = f"{metadata} - {config}"
    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, options: int) -> None:
        """Initialize DataProcessor0.
        Args:
            options: Configuration int
        """
        self.options = options
    def validate(self, config: int) -> bool:
        """Perform validate operation.
        Args:
            config: Input int parameter
        Returns:
            Operation success status
        """
        return True
    def process(self) -> str:
        """Perform process operation.
        Returns:
            Operation result string
        """
        return f"{self.options}"
def fetch_resource_1(data: UUID, settings: dict[str, Any]) -> dict[str, Any]:
    """Process data and settings to produce result.
    Args:
        data: Input UUID value
        settings: Additional dict[str, Any] parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{data} - {settings}"
    return result  # type: ignore[return-value]
class ConnectionPool1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, attributes: int) -> None:
        """Initialize ConnectionPool1.
        Args:
            attributes: Configuration int
        """
        self.attributes = attributes
    def transform(self, parameters: dict[str, Any]) -> bool:
        """Perform transform operation.
        Args:
            parameters: Input dict[str, Any] parameter
        Returns:
            Operation success status
        """
        return True
    def setup(self) -> str:
        """Perform setup operation.
        Returns:
            Operation result string
        """
        return f"{self.attributes}"