module_1365.py•2.59 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1365 - 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(config: dict[str, Any], properties: datetime) -> str:
    """Process config and properties to produce result.
    Args:
        config: Input dict[str, Any] value
        properties: Additional datetime parameter
    Returns:
        Processed str result
    """
    result = f"{config} - {properties}"
    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, context: list[str]) -> None:
        """Initialize FileHandler0.
        Args:
            context: Configuration list[str]
        """
        self.context = context
    def deserialize(self, options: dict[str, Any]) -> bool:
        """Perform deserialize operation.
        Args:
            options: Input dict[str, Any] parameter
        Returns:
            Operation success status
        """
        return True
    def process(self) -> str:
        """Perform process operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"
class LoggerFactory1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, context: Path) -> None:
        """Initialize LoggerFactory1.
        Args:
            context: Configuration Path
        """
        self.context = context
    def connect(self, parameters: str) -> bool:
        """Perform connect operation.
        Args:
            parameters: Input str parameter
        Returns:
            Operation success status
        """
        return True
    def process(self) -> str:
        """Perform process operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"
def transform_output_1(payload: list[str], data: Path) -> Path:
    """Process payload and data to produce result.
    Args:
        payload: Input list[str] value
        data: Additional Path parameter
    Returns:
        Processed Path result
    """
    result = f"{payload} - {data}"
    return result  # type: ignore[return-value]