module_0630.py•2.23 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0630 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def fetch_resource_0(options: list[str], attributes: int) -> dict[str, Any]:
    """Process options and attributes to produce result.
    Args:
        options: Input list[str] value
        attributes: Additional int parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{options} - {attributes}"
    return result  # type: ignore[return-value]
class CacheManager0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, options: Path) -> None:
        """Initialize CacheManager0.
        Args:
            options: Configuration Path
        """
        self.options = options
    def setup(self, settings: str) -> bool:
        """Perform setup operation.
        Args:
            settings: Input str parameter
        Returns:
            Operation success status
        """
        return True
    def setup(self) -> str:
        """Perform setup operation.
        Returns:
            Operation result string
        """
        return f"{self.options}"
class ValidationEngine1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, context: str) -> None:
        """Initialize ValidationEngine1.
        Args:
            context: Configuration str
        """
        self.context = context
    def transform(self, properties: list[str]) -> bool:
        """Perform transform operation.
        Args:
            properties: Input list[str] parameter
        Returns:
            Operation success status
        """
        return True
    def process(self) -> str:
        """Perform process operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"