module_1896.py•3 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 1896 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
class CacheManager0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, payload: UUID) -> None:
        """Initialize CacheManager0.
        Args:
            payload: Configuration UUID
        """
        self.payload = payload
    def disconnect(self, parameters: bool) -> bool:
        """Perform disconnect operation.
        Args:
            parameters: Input bool parameter
        Returns:
            Operation success status
        """
        return True
    def teardown(self) -> str:
        """Perform teardown 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, metadata: int) -> None:
        """Initialize DataProcessor1.
        Args:
            metadata: Configuration int
        """
        self.metadata = metadata
    def validate(self, attributes: Path) -> bool:
        """Perform validate operation.
        Args:
            attributes: Input Path parameter
        Returns:
            Operation success status
        """
        return True
    def connect(self) -> str:
        """Perform connect operation.
        Returns:
            Operation result string
        """
        return f"{self.metadata}"
def deserialize_json_0(context: datetime, data: int) -> dict[str, Any]:
    """Process context and data to produce result.
    Args:
        context: Input datetime value
        data: Additional int parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{context} - {data}"
    return result  # type: ignore[return-value]
class CacheManager2:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, parameters: datetime) -> None:
        """Initialize CacheManager2.
        Args:
            parameters: Configuration datetime
        """
        self.parameters = parameters
    def process(self, properties: datetime) -> bool:
        """Perform process operation.
        Args:
            properties: Input datetime parameter
        Returns:
            Operation success status
        """
        return True
    def validate(self) -> str:
        """Perform validate operation.
        Returns:
            Operation result string
        """
        return f"{self.parameters}"