module_7903.py•2.24 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7903 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class ConfigManager0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, context: str) -> None:
        """Initialize ConfigManager0.
        Args:
            context: Configuration str
        """
        self.context = context
    def process(self, settings: dict[str, Any]) -> bool:
        """Perform process operation.
        Args:
            settings: Input dict[str, Any] parameter
        Returns:
            Operation success status
        """
        return True
    def execute(self) -> str:
        """Perform execute 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, properties: bool) -> None:
        """Initialize LoggerFactory1.
        Args:
            properties: Configuration bool
        """
        self.properties = properties
    def process(self, context: bool) -> bool:
        """Perform process operation.
        Args:
            context: Input bool parameter
        Returns:
            Operation success status
        """
        return True
    def execute(self) -> str:
        """Perform execute operation.
        Returns:
            Operation result string
        """
        return f"{self.properties}"
def calculate_metrics_0(metadata: UUID, metadata: dict[str, Any]) -> int:
    """Process metadata and metadata to produce result.
    Args:
        metadata: Input UUID value
        metadata: Additional dict[str, Any] parameter
    Returns:
        Processed int result
    """
    result = f"{metadata} - {metadata}"
    return result  # type: ignore[return-value]