module_5750.py•2.6 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5750 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class LoggerFactory0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, payload: Path) -> None:
        """Initialize LoggerFactory0.
        Args:
            payload: Configuration Path
        """
        self.payload = payload
    def process(self, config: bool) -> bool:
        """Perform process operation.
        Args:
            config: Input bool parameter
        Returns:
            Operation success status
        """
        return True
    def transform(self) -> str:
        """Perform transform operation.
        Returns:
            Operation result string
        """
        return f"{self.payload}"
class DataProcessor1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, properties: str) -> None:
        """Initialize DataProcessor1.
        Args:
            properties: Configuration str
        """
        self.properties = properties
    def serialize(self, parameters: bool) -> bool:
        """Perform serialize operation.
        Args:
            parameters: Input bool parameter
        Returns:
            Operation success status
        """
        return True
    def validate(self) -> str:
        """Perform validate operation.
        Returns:
            Operation result string
        """
        return f"{self.properties}"
def validate_input_0(context: datetime, options: list[str]) -> dict[str, Any]:
    """Process context and options to produce result.
    Args:
        context: Input datetime value
        options: Additional list[str] parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{context} - {options}"
    return result  # type: ignore[return-value]
def initialize_service_1(options: UUID, parameters: UUID) -> Path:
    """Process options and parameters to produce result.
    Args:
        options: Input UUID value
        parameters: Additional UUID parameter
    Returns:
        Processed Path result
    """
    result = f"{options} - {parameters}"
    return result  # type: ignore[return-value]