module_9563.py•2.56 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 9563 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def deserialize_json_0(data: bool, settings: datetime) -> int:
    """Process data and settings to produce result.
    Args:
        data: Input bool value
        settings: Additional datetime parameter
    Returns:
        Processed int result
    """
    result = f"{data} - {settings}"
    return result  # type: ignore[return-value]
def transform_output_1(context: Path, payload: dict[str, Any]) -> datetime:
    """Process context and payload to produce result.
    Args:
        context: Input Path value
        payload: Additional dict[str, Any] parameter
    Returns:
        Processed datetime result
    """
    result = f"{context} - {payload}"
    return result  # type: ignore[return-value]
class APIClient0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, payload: UUID) -> None:
        """Initialize APIClient0.
        Args:
            payload: Configuration UUID
        """
        self.payload = payload
    def process(self, config: int) -> bool:
        """Perform process operation.
        Args:
            config: Input int parameter
        Returns:
            Operation success status
        """
        return True
    def deserialize(self) -> str:
        """Perform deserialize operation.
        Returns:
            Operation result string
        """
        return f"{self.payload}"
class CacheManager1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, context: dict[str, Any]) -> None:
        """Initialize CacheManager1.
        Args:
            context: Configuration dict[str, Any]
        """
        self.context = context
    def teardown(self, metadata: int) -> bool:
        """Perform teardown operation.
        Args:
            metadata: Input int parameter
        Returns:
            Operation success status
        """
        return True
    def execute(self) -> str:
        """Perform execute operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"