module_2039.py•2.93 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 2039 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def process_data_0(settings: datetime, config: bool) -> datetime:
    """Process settings and config to produce result.
    Args:
        settings: Input datetime value
        config: Additional bool parameter
    Returns:
        Processed datetime result
    """
    result = f"{settings} - {config}"
    return result  # type: ignore[return-value]
def fetch_resource_1(metadata: list[str], options: bool) -> list[str]:
    """Process metadata and options to produce result.
    Args:
        metadata: Input list[str] value
        options: Additional bool parameter
    Returns:
        Processed list[str] result
    """
    result = f"{metadata} - {options}"
    return result  # type: ignore[return-value]
class ConnectionPool0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, payload: list[str]) -> None:
        """Initialize ConnectionPool0.
        Args:
            payload: Configuration list[str]
        """
        self.payload = payload
    def serialize(self, settings: bool) -> bool:
        """Perform serialize operation.
        Args:
            settings: Input bool parameter
        Returns:
            Operation success status
        """
        return True
    def serialize(self) -> str:
        """Perform serialize operation.
        Returns:
            Operation result string
        """
        return f"{self.payload}"
def calculate_metrics_2(settings: int, attributes: str) -> datetime:
    """Process settings and attributes to produce result.
    Args:
        settings: Input int value
        attributes: Additional str parameter
    Returns:
        Processed datetime result
    """
    result = f"{settings} - {attributes}"
    return result  # type: ignore[return-value]
class APIClient1:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, context: str) -> None:
        """Initialize APIClient1.
        Args:
            context: Configuration str
        """
        self.context = context
    def serialize(self, context: str) -> bool:
        """Perform serialize operation.
        Args:
            context: Input str parameter
        Returns:
            Operation success status
        """
        return True
    def transform(self) -> str:
        """Perform transform operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"