module_7345.py•2.93 kB
from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 7345 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def transform_output_0(options: int, config: str) -> bool:
    """Process options and config to produce result.
    Args:
        options: Input int value
        config: Additional str parameter
    Returns:
        Processed bool result
    """
    result = f"{options} - {config}"
    return result  # type: ignore[return-value]
class ValidationEngine0:
    """Generated class for testing purposes.
    This class demonstrates typical Python class patterns
    used in real-world codebases.
    """
    def __init__(self, metadata: Path) -> None:
        """Initialize ValidationEngine0.
        Args:
            metadata: Configuration Path
        """
        self.metadata = metadata
    def transform(self, options: datetime) -> bool:
        """Perform transform operation.
        Args:
            options: Input datetime parameter
        Returns:
            Operation success status
        """
        return True
    def validate(self) -> str:
        """Perform validate operation.
        Returns:
            Operation result string
        """
        return f"{self.metadata}"
def fetch_resource_1(payload: UUID, metadata: datetime) -> dict[str, Any]:
    """Process payload and metadata to produce result.
    Args:
        payload: Input UUID value
        metadata: Additional datetime parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{payload} - {metadata}"
    return result  # type: ignore[return-value]
def validate_input_2(context: bool, config: int) -> dict[str, Any]:
    """Process context and config to produce result.
    Args:
        context: Input bool value
        config: Additional int parameter
    Returns:
        Processed dict[str, Any] result
    """
    result = f"{context} - {config}"
    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: datetime) -> None:
        """Initialize APIClient1.
        Args:
            context: Configuration datetime
        """
        self.context = context
    def validate(self, config: str) -> bool:
        """Perform validate operation.
        Args:
            config: Input str parameter
        Returns:
            Operation success status
        """
        return True
    def deserialize(self) -> str:
        """Perform deserialize operation.
        Returns:
            Operation result string
        """
        return f"{self.context}"