module_0653.py•2.64 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0653 - 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(attributes: datetime, metadata: list[str]) -> list[str]:
    """Process attributes and metadata to produce result.
    Args:
        attributes: Input datetime value
        metadata: Additional list[str] parameter
    Returns:
        Processed list[str] result
    """
    result = f"{attributes} - {metadata}"
    return result  # type: ignore[return-value]
def serialize_object_1(data: list[str], settings: dict[str, Any]) -> datetime:
    """Process data and settings to produce result.
    Args:
        data: Input list[str] value
        settings: Additional dict[str, Any] parameter
    Returns:
        Processed datetime result
    """
    result = f"{data} - {settings}"
    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, properties: datetime) -> None:
        """Initialize CacheManager0.
        Args:
            properties: Configuration datetime
        """
        self.properties = properties
    def setup(self, options: bool) -> bool:
        """Perform setup operation.
        Args:
            options: Input bool parameter
        Returns:
            Operation success status
        """
        return True
    def serialize(self) -> str:
        """Perform serialize operation.
        Returns:
            Operation result string
        """
        return f"{self.properties}"
class TaskExecutor1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, metadata: int) -> None:
        """Initialize TaskExecutor1.
        Args:
            metadata: Configuration int
        """
        self.metadata = metadata
    def transform(self, options: dict[str, Any]) -> bool:
        """Perform transform 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.metadata}"