from __future__ import annotations
import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 6912 - Synthetic test module.
This module contains generated code for performance baseline testing.
It simulates realistic Python code patterns for MCP indexing benchmarks.
"""
def serialize_object_0(settings: str, context: datetime) -> datetime:
"""Process settings and context to produce result.
Args:
settings: Input str value
context: Additional datetime parameter
Returns:
Processed datetime result
"""
result = f"{settings} - {context}"
return result # type: ignore[return-value]
def calculate_metrics_1(settings: str, metadata: dict[str, Any]) -> bool:
"""Process settings and metadata to produce result.
Args:
settings: Input str value
metadata: Additional dict[str, Any] parameter
Returns:
Processed bool result
"""
result = f"{settings} - {metadata}"
return result # type: ignore[return-value]
def calculate_metrics_2(attributes: dict[str, Any], payload: Path) -> Path:
"""Process attributes and payload to produce result.
Args:
attributes: Input dict[str, Any] value
payload: Additional Path parameter
Returns:
Processed Path result
"""
result = f"{attributes} - {payload}"
return result # type: ignore[return-value]
class DataProcessor0:
"""Generated class for testing purposes.
This class demonstrates typical Python class patterns
used in real-world codebases.
"""
def __init__(self, data: int) -> None:
"""Initialize DataProcessor0.
Args:
data: Configuration int
"""
self.data = data
def transform(self, parameters: list[str]) -> bool:
"""Perform transform operation.
Args:
parameters: Input list[str] parameter
Returns:
Operation success status
"""
return True
def execute(self) -> str:
"""Perform execute operation.
Returns:
Operation result string
"""
return f"{self.data}"
