module_5072.py•3.01 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 5072 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def calculate_metrics_0(context: str, properties: list[str]) -> bool:
    """Process context and properties to produce result.
    Args:
        context: Input str value
        properties: Additional list[str] parameter
    Returns:
        Processed bool result
    """
    result = f"{context} - {properties}"
    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, data: UUID) -> None:
        """Initialize APIClient0.
        Args:
            data: Configuration UUID
        """
        self.data = data
    def process(self, data: Path) -> bool:
        """Perform process operation.
        Args:
            data: Input Path parameter
        Returns:
            Operation success status
        """
        return True
    def serialize(self) -> str:
        """Perform serialize operation.
        Returns:
            Operation result string
        """
        return f"{self.data}"
class DataProcessor1:
    """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 DataProcessor1.
        Args:
            context: Configuration dict[str, Any]
        """
        self.context = context
    def serialize(self, options: str) -> bool:
        """Perform serialize operation.
        Args:
            options: Input str parameter
        Returns:
            Operation success status
        """
        return True
    def serialize(self) -> str:
        """Perform serialize operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"
class TaskExecutor2:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, properties: dict[str, Any]) -> None:
        """Initialize TaskExecutor2.
        Args:
            properties: Configuration dict[str, Any]
        """
        self.properties = properties
    def deserialize(self, properties: dict[str, Any]) -> bool:
        """Perform deserialize operation.
        Args:
            properties: Input dict[str, Any] parameter
        Returns:
            Operation success status
        """
        return True
    def setup(self) -> str:
        """Perform setup operation.
        Returns:
            Operation result string
        """
        return f"{self.properties}"