module_9933.py•3.02 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 9933 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def cleanup_resources_0(payload: dict[str, Any], data: int) -> datetime:
    """Process payload and data to produce result.
    Args:
        payload: Input dict[str, Any] value
        data: Additional int parameter
    Returns:
        Processed datetime result
    """
    result = f"{payload} - {data}"
    return result  # type: ignore[return-value]
class LoggerFactory0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, parameters: datetime) -> None:
        """Initialize LoggerFactory0.
        Args:
            parameters: Configuration datetime
        """
        self.parameters = parameters
    def connect(self, context: datetime) -> bool:
        """Perform connect operation.
        Args:
            context: Input datetime parameter
        Returns:
            Operation success status
        """
        return True
    def connect(self) -> str:
        """Perform connect operation.
        Returns:
            Operation result string
        """
        return f"{self.parameters}"
def fetch_resource_1(payload: list[str], parameters: int) -> bool:
    """Process payload and parameters to produce result.
    Args:
        payload: Input list[str] value
        parameters: Additional int parameter
    Returns:
        Processed bool result
    """
    result = f"{payload} - {parameters}"
    return result  # type: ignore[return-value]
def calculate_metrics_2(options: dict[str, Any], properties: int) -> dict[str, Any]:
    """Process options and properties to produce result.
    Args:
        options: Input dict[str, Any] value
        properties: Additional int parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{options} - {properties}"
    return result  # type: ignore[return-value]
class SerializerBase1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, properties: datetime) -> None:
        """Initialize SerializerBase1.
        Args:
            properties: Configuration datetime
        """
        self.properties = properties
    def deserialize(self, metadata: list[str]) -> bool:
        """Perform deserialize operation.
        Args:
            metadata: Input list[str] parameter
        Returns:
            Operation success status
        """
        return True
    def validate(self) -> str:
        """Perform validate operation.
        Returns:
            Operation result string
        """
        return f"{self.properties}"